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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
Sentry error
Feed — jiminny — Sentry
Feed — jiminny — Sentry
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ErrorException
ErrorException
Level: Warning
Deprecated: Constant PDO::MYSQL_ATTR_SSL_CA is deprecated since 8.5, use Pdo\Mysql::ATTR_SSL_CA instead
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APP-1FTA
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Jiminny\Component\Transcription\TranscriptionProcessor\Gladia\Exceptions\InvalidTranslationResponseException
Jiminny\Component\Transcription\TranscriptionProcessor\Gladia\Exceptions\InvalidTranslationResponseException
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Invalid translation response
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APP-1CGE
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Jiminny\Exceptions\SocialAccountTokenInvalidException
Jiminny\Exceptions\SocialAccountTokenInvalidException
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APP-1ET5
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Illuminate\Database\UniqueConstraintViolationException
Illuminate\Database\UniqueConstraintViolationException...
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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Deprecated: Constant PDO::MYSQL_ATTR_SSL_CA is deprecated since 8.5, use Pdo\Mysql::ATTR_SSL_CA instead
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Jiminny\Exceptions\SocialAccountTokenInvalidException
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442418573_m1.jpg...
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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Feed — jiminny — Sentry
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ErrorException
ErrorException
Level: Warning
Deprecated: Constant PDO::MYSQL_ATTR_SSL_CA is deprecated since 8.5, use Pdo\Mysql::ATTR_SSL_CA instead
View Project Details
APP-1FTA
Unhandled
/home/jiminny/config/database.php in require
2min ago
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
Sentry error
Feed — jiminny — Sentry
Feed — jiminny — Sentry
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Deprecated: Constant PDO::MYSQL_ATTR_SSL_CA is deprecated since 8.5, use Pdo\Mysql::ATTR_SSL_CA instead
View Project Details
APP-1FTA
Unhandled
/home/jiminny/config/database.php in require
2min ago
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70187
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Feed — jiminny — Sentry — Work
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jiminny.sentry.io/issues/?environment=production&a jiminny.sentry.io/issues/?environment=production&environment=production-eu&project=82419&statsPeriod=30d...
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
Sentry error
Feed — jiminny — Sentry
Feed — jiminny — Sentry
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
Sentry error
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Feed — jiminny — Sentry
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ErrorException
ErrorException
Level: Warning
Deprecated: Constant PDO::MYSQL_ATTR_SSL_CA is deprecated since 8.5, use Pdo\Mysql::ATTR_SSL_CA instead
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APP-1FTA
Unhandled
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Jiminny\Component\Transcription\TranscriptionProcessor\Gladia\Exceptions\InvalidTranslationResponseException
Jiminny\Component\Transcription\TranscriptionProcessor\Gladia\Exceptions\InvalidTranslationResponseException
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Invalid translation response
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APP-1CGE
/app/Component/Transcription/Service/TranslationService.php in Jiminny\Component\Transcription\Service\TranslationService::getTranslatedTranscript
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Jiminny\Exceptions\SocialAccountTokenInvalidException
Jiminny\Exceptions\SocialAccountTokenInvalidException
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Your Salesforce account has become disconnected. Please login to Jiminny to reconnect.
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/app/Services/Crm/BaseService.php in Jiminny\Services\Crm\BaseService::validateUserAccountExists
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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Feed — jiminny — Sentry
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Deprecated: Constant PDO::MYSQL_ATTR_SSL_CA is deprecated since 8.5, use Pdo\Mysql::ATTR_SSL_CA instead
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Jiminny\Component\Transcription\TranscriptionProcessor\Gladia\Exceptions\InvalidTranslationResponseException
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
Sentry error
Feed — jiminny — Sentry
Feed — jiminny — Sentry
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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jiminny.sentry.io/issues/6978902356/?environment=p jiminny.sentry.io/issues/6978902356/?environment=production&environment=production-eu&project=82419&query=is%3Aunresolved&referrer=issue-stream&sort=freq...
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
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[SRD-6871] Sensi.Ai - Call data not logging to Hub [SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[SRD-6871] Sensi.Ai - Call data not logging to HubSpot activity - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
[JY-20912] Fallback mechanism for users with active SF tokens for CRM Matching - Jira
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Service-Desk - Queues - Platform team - Service space - Jira
Service-Desk - Queues - Platform team - Service space - Jira
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20676 delete AJ reports related objects by LakyLak · Pull Request #12098 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
JY-20915 add alias for EU by LakyLak · Pull Request #12105 · jiminny/app
Pipelines - jiminny/app
Pipelines - jiminny/app
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
SevenShores\Hubspot\Exceptions\BadRequest: Client error: `POST https://api.hubapi.com/crm/v3/objects/contact/search` resulted in a `429 Too Many Requests` response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT
Jiminny
Jiminny
[JY-20879] Enable users to use their new activity types - Jira
[JY-20879] Enable users to use their new activity types - Jira
Sentry error
Feed — jiminny — Sentry
Feed — jiminny — Sentry
Close tab
CloudWatch | eu-west-1
CloudWatch | eu-west-1
New Tab
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Open history (⇧⌘H)
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Skip to main content
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app
app
production, production-eu
production, production-eu
30D
30D
Add a search term
Edit operator for filter: is
is
Edit value for filter: is
unresolved
Remove filter: is
Add a search term...
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2026-05-22T09:34:01.629224+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442441629_m1.jpg...
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PhpStorm
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faVsco.js – console [EU]
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Project: faVsco.js, menu
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[{"role":"AXButton","text" [{"role":"AXButton","text":"Project: faVsco.js, menu","depth":5,"on_screen":true,"help_text":"~/jiminny/app","role_description":"button","is_enabled":true,"is_selected":false,"is_expanded":false}]...
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hybrid
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Project: faVsco.js, menu
iTerm2ShellEditViewSessio Project: faVsco.js, menu
iTerm2ShellEditViewSessionScriptsProfilesWindowHelplahl•-zshDOCKER0 81DEV (-zsh)O $82APP (-zsh)screenpipe*84-zshAdm1n@DXP4800PLUS-B5F8:~$cd/volume2/docker/polyglothsudodockercompose build[sudo] password for Admin:[+] Building 1.7s (11/11) FINISHED=> [lang-subsinternal]load builddefinition from Dockerfile=>transferring dockerfile:419B→ [lang-subs internal] load metadata for docker.io/library/python:3.12-slim=> [lang-subsinternal]loaddockerignore= => transferring context: 2B= [lang-subs 1/6] FROM docker.io/library/python:3.12-slim@sha256:9d3abd9fc11d06998ccdbdd93b4dd49b5ad7d67fcbbc11c016eb0eb2c2194891=>[lang-subsinternal]load build context=> transferringcontext: 17.29kB=> CACHED [lang-subs 2/6]RUNapt-getupdate && apt-get install-y --no-install-recommendsffmpeg&& rm-rf /var/lib/apt/lists/*=> CACHED [lang-subs 3/6]WORKDIR /app=> CACHED [lang-subs 4/6]COPY requirements.txt=> CACHED [Lang-subs 5/6] RUN pip install--no-cache-dir -r requirements.txt= [lang-subs 6/6] COPY lang_subs.py[lang-subs]exporting toimage= exportinglayers== writingimage sha256:e7b015a420bc2f4a949476ff04d4341276aa701947f508eee59469530f65ee83=>= naming to docker.io/library/polygloth-lang-subsAdm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo rm -rf media/.lang_subs_cache/Sto.Para.5.S01E01Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo./run.sh Sto.Para.5.S01E01.mkv --duration 300Video:Sto.Para.5.S01E01.mkvCache: /media/.lang_subs_cache/Sto.Para.5.S01E01[1/4] Extracting audio...Extracting audio (first 300s)...[2/4] Transcribing...Transcribing with large-v3...Warning: You are sending unauthenticated requests to the HF Hub. Pleaseset a HF_TOKEN to enable higher rate limits and faster downloads.6 segments[3/4] Annotating with Claude...Segments 0-5...[4/4] Rendering outputs...Written: /media/Sto.Para.5.S01E01.assWritten: /media/Sto.Para.5.S01E01.study.mdDone.Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloths Connection to [IP_ADDRESS] closed by remote host.Connection to [IP_ADDRESS] closed.lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |100% <478•Fri 22 May 10:26:32T81-zshdocker:default0.050.050.950.050.050.050.0s0.050.050.0s0.[IP_ADDRESS].150.050.0s...
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PhpStorm
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faVsco.js – console [EU]
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FV faVsco.js~?9 masterProjectMỀ CLAUDE.md& com FV faVsco.js~?9 masterProjectMỀ CLAUDE.md& composer.json0 composer.lock0 dependency-checker.json0 dev.json= ids tytlE infection.json.distM-INSTALL.mdM+ INTERNAL_WEBHOOK_SETUP.mdEjiminny storageM+licenses.mom Makerileраскаqе-lock. sonE phpstan.neon.dist= phostan-baseline.neon<› phounit.xmliTe raw sal querv.saML README.mdso sonar-oroiect.oropertiesE test.py<> Untited Diadram.xmlI vetur.config.jsMJ WEBHOOK FILTERING IMPLEMENTATION.mo› ib External Librariesv = Scratches and Consolesv D Database ConsolesVASUA console (EU]A DEAL RISKS [EU]A DI [EU]A EU (EU]v A jiminny@localhostA console ljiminny@localhost]A DI [jiminny@localhost]A HS_local [jiminny@localhost]A SF [iiminny@localhostl& zoho dev liminny@localhostV A PRODA console (PROD]A console_1 [PROD]A DI (PROD]> ДOAA QAI> A QAI PRODSTAGINGA console [STAGINGIA console 1 [STAGiNG)#uranus STAGINGI>• Extensions) M Scratches• rli zz May 10-20.34Propnetcllent.onpcetalAcuivity lypeviarropnetservice.onp© SyncRe© GenerateAiActivityTypewsnaredsyncrieldsIrait.onowsyncermrieldstrait.ongC) FieldRepository.phpActivityPlaybookTrait.php© ImportMetadata.php© CrmHelyclass GenerateAiActivityTypeServiceprivate function processAlActivityTypeResponse(arnay Scontent, $activityType = $this->playbookCategoryRepository->findByGr‹$content['ai_activity_type'],sgroupif ($activityType === null) {$this->processingStateManager->setSkipped(sactivity->getldo,state: ActivityProcessingStateManager::STATE_AI_ACTI\sthns->loqger->intolrciHuD• ' Vetected Al ACtIvITY'activity' => Sactivity->getUuid(),sthis->loalolatadod Sactivity.isDetected: "No')return:Sthis-›activityRepository->update(Sactivity, I'playbook_category_id' = $activityType->getId(),151153$this->LogToDatadog(Sactivity,isDetected: IVec1)*$this->processingStateManager->setFinished($activity->getId(),state: ActivityProcessingStateManager::STATE_AI_ACTIVITY.);private function loaToDatadog(Activity Sactivity. string SisDet• • C0, Chat:= Cowork" Code+ New chat6 Projects8 Artifactse CustomizePinnedO Bu garian cit zenshio aoolication orcDawarich location tracking projectKecents• Screenpipe module not found error• Interactive language learning throus• Recent love experiences• Cities visited this year• Did I drive today• Last visit to Lovech• Monthlv spending breakdown and re• Swimming visits this vear• Screenpipe prune database vacuum e• Marking text locations in Screenpipe• Updating packages in Laravel• Screenpipe data sync and retention n• Screenpipe svnc script failing after reO Hubsnot BadRequest headers debug.• Monthly expense tracking• Exporting transaction data from No• @ How much have I spent for groc.• April 2026 spending by category• Code diff review@ HubSoot rate limit imolementation stiScreenpipe module not found errornode: prefix for built-in modules) requires Node 14.18+ / 16+, and your stack trace(internal/modules/cis/loader. is:880.old npm ERR! format. npx cache path_npx/47357/ ) 1s Classic Node 12.X.Check what you've got:bashnode -vwhach nodeI'd bet on v12.x. Fix by upgrading. If you're on nvm:nvm install 20nvm alias default 20nvm use 20homedrew.brew upgrade nodeIf neither, install nvm — it's the cleanest way to manage Node on the Mac, especially since youswitch between work projects.After upgrading, clear the stale npx cache before retrying so it doesn't reuse the broken install:~/.прm/_прхreenpipealatest record --disable-audio --ignored-windows "Boosteroid" --retention-davsOne thing worth noting — your Jiminny Laravel work probably runs on a specific Nodeversion via the project's nvmrc or package. json engines field. Upgrading thesystem/default Node shouldn't break that as long as nvm respects the project pin, but worth asanity check (yarn install/ npm install in the app repo after upgrading).*Write a message.Relaunch to updatelK lukas. ProOpus 4.7 AdaptiveCiaudo ic Aand can make mistakas Plesco doublo-chork rocnoncod...
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-4699632686801267059
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app_switch
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ocr
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FV faVsco.js~?9 masterProjectMỀ CLAUDE.md& com FV faVsco.js~?9 masterProjectMỀ CLAUDE.md& composer.json0 composer.lock0 dependency-checker.json0 dev.json= ids tytlE infection.json.distM-INSTALL.mdM+ INTERNAL_WEBHOOK_SETUP.mdEjiminny storageM+licenses.mom Makerileраскаqе-lock. sonE phpstan.neon.dist= phostan-baseline.neon<› phounit.xmliTe raw sal querv.saML README.mdso sonar-oroiect.oropertiesE test.py<> Untited Diadram.xmlI vetur.config.jsMJ WEBHOOK FILTERING IMPLEMENTATION.mo› ib External Librariesv = Scratches and Consolesv D Database ConsolesVASUA console (EU]A DEAL RISKS [EU]A DI [EU]A EU (EU]v A jiminny@localhostA console ljiminny@localhost]A DI [jiminny@localhost]A HS_local [jiminny@localhost]A SF [iiminny@localhostl& zoho dev liminny@localhostV A PRODA console (PROD]A console_1 [PROD]A DI (PROD]> ДOAA QAI> A QAI PRODSTAGINGA console [STAGINGIA console 1 [STAGiNG)#uranus STAGINGI>• Extensions) M Scratches• rli zz May 10-20.34Propnetcllent.onpcetalAcuivity lypeviarropnetservice.onp© SyncRe© GenerateAiActivityTypewsnaredsyncrieldsIrait.onowsyncermrieldstrait.ongC) FieldRepository.phpActivityPlaybookTrait.php© ImportMetadata.php© CrmHelyclass GenerateAiActivityTypeServiceprivate function processAlActivityTypeResponse(arnay Scontent, $activityType = $this->playbookCategoryRepository->findByGr‹$content['ai_activity_type'],sgroupif ($activityType === null) {$this->processingStateManager->setSkipped(sactivity->getldo,state: ActivityProcessingStateManager::STATE_AI_ACTI\sthns->loqger->intolrciHuD• ' Vetected Al ACtIvITY'activity' => Sactivity->getUuid(),sthis->loalolatadod Sactivity.isDetected: "No')return:Sthis-›activityRepository->update(Sactivity, I'playbook_category_id' = $activityType->getId(),151153$this->LogToDatadog(Sactivity,isDetected: IVec1)*$this->processingStateManager->setFinished($activity->getId(),state: ActivityProcessingStateManager::STATE_AI_ACTIVITY.);private function loaToDatadog(Activity Sactivity. string SisDet• • C0, Chat:= Cowork" Code+ New chat6 Projects8 Artifactse CustomizePinnedO Bu garian cit zenshio aoolication orcDawarich location tracking projectKecents• Screenpipe module not found error• Interactive language learning throus• Recent love experiences• Cities visited this year• Did I drive today• Last visit to Lovech• Monthlv spending breakdown and re• Swimming visits this vear• Screenpipe prune database vacuum e• Marking text locations in Screenpipe• Updating packages in Laravel• Screenpipe data sync and retention n• Screenpipe svnc script failing after reO Hubsnot BadRequest headers debug.• Monthly expense tracking• Exporting transaction data from No• @ How much have I spent for groc.• April 2026 spending by category• Code diff review@ HubSoot rate limit imolementation stiScreenpipe module not found errornode: prefix for built-in modules) requires Node 14.18+ / 16+, and your stack trace(internal/modules/cis/loader. is:880.old npm ERR! format. npx cache path_npx/47357/ ) 1s Classic Node 12.X.Check what you've got:bashnode -vwhach nodeI'd bet on v12.x. Fix by upgrading. If you're on nvm:nvm install 20nvm alias default 20nvm use 20homedrew.brew upgrade nodeIf neither, install nvm — it's the cleanest way to manage Node on the Mac, especially since youswitch between work projects.After upgrading, clear the stale npx cache before retrying so it doesn't reuse the broken install:~/.прm/_прхreenpipealatest record --disable-audio --ignored-windows "Boosteroid" --retention-davsOne thing worth noting — your Jiminny Laravel work probably runs on a specific Nodeversion via the project's nvmrc or package. json engines field. Upgrading thesystem/default Node shouldn't break that as long as nvm respects the project pin, but worth asanity check (yarn install/ npm install in the app repo after upgrading).*Write a message.Relaunch to updatelK lukas. ProOpus 4.7 AdaptiveCiaudo ic Aand can make mistakas Plesco doublo-chork rocnoncod...
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2026-05-22T09:34:04.199449+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442444199_m1.jpg...
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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1
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_1
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelplahl•-zshDOCKER0 81DEV (-zsh)O $82APP (-zsh)screenpipe*84-zshAdm1n@DXP4800PLUS-B5F8:~$cd/volume2/docker/polyglothsudodockercompose build[sudo] password for Admin:[+] Building 1.7s (11/11) FINISHED=> [lang-subsinternal]load builddefinition from Dockerfile=>transferring dockerfile:419B→ [lang-subs internal] load metadata for docker.io/library/python:3.12-slim=> [lang-subsinternal]loaddockerignore= => transferring context: 2B= [lang-subs 1/6] FROM docker.io/library/python:3.12-slim@sha256:9d3abd9fc11d06998ccdbdd93b4dd49b5ad7d67fcbbc11c016eb0eb2c2194891=>[lang-subsinternal]load build context=> transferringcontext: 17.29kB=> CACHED [lang-subs 2/6]RUNapt-getupdate && apt-get install-y --no-install-recommendsffmpeg&& rm-rf /var/lib/apt/lists/*=> CACHED [lang-subs 3/6]WORKDIR /app=> CACHED [lang-subs 4/6]COPY requirements.txt=> CACHED [Lang-subs 5/6] RUN pip install--no-cache-dir -r requirements.txt= [lang-subs 6/6] COPY lang_subs.py[lang-subs]exporting toimage= exportinglayers== writingimage sha256:e7b015a420bc2f4a949476ff04d4341276aa701947f508eee59469530f65ee83=>= naming to docker.io/library/polygloth-lang-subsAdm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo rm -rf media/.lang_subs_cache/Sto.Para.5.S01E01Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo./run.sh Sto.Para.5.S01E01.mkv --duration 300Video:Sto.Para.5.S01E01.mkvCache: /media/.lang_subs_cache/Sto.Para.5.S01E01[1/4] Extracting audio...Extracting audio (first 300s)...[2/4] Transcribing...Transcribing with large-v3...Warning: You are sending unauthenticated requests to the HF Hub. Pleaseset a HF_TOKEN to enable higher rate limits and faster downloads.6 segments[3/4] Annotating with Claude...Segments 0-5...[4/4] Rendering outputs...Written: /media/Sto.Para.5.S01E01.assWritten: /media/Sto.Para.5.S01E01.study.mdDone.Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloths Connection to [IP_ADDRESS] closed by remote host.Connection to [IP_ADDRESS] closed.lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |100% <478•Fri 22 May 10:26:32T81-zshdocker:default0.050.050.950.050.050.050.0s0.050.050.0s0.[IP_ADDRESS].150.050.0s...
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NULL
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-1390722132940296198
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NULL
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app_switch
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ocr
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelplahl•-zshDOCKER0 81DEV (-zsh)O $82APP (-zsh)screenpipe*84-zshAdm1n@DXP4800PLUS-B5F8:~$cd/volume2/docker/polyglothsudodockercompose build[sudo] password for Admin:[+] Building 1.7s (11/11) FINISHED=> [lang-subsinternal]load builddefinition from Dockerfile=>transferring dockerfile:419B→ [lang-subs internal] load metadata for docker.io/library/python:3.12-slim=> [lang-subsinternal]loaddockerignore= => transferring context: 2B= [lang-subs 1/6] FROM docker.io/library/python:3.12-slim@sha256:9d3abd9fc11d06998ccdbdd93b4dd49b5ad7d67fcbbc11c016eb0eb2c2194891=>[lang-subsinternal]load build context=> transferringcontext: 17.29kB=> CACHED [lang-subs 2/6]RUNapt-getupdate && apt-get install-y --no-install-recommendsffmpeg&& rm-rf /var/lib/apt/lists/*=> CACHED [lang-subs 3/6]WORKDIR /app=> CACHED [lang-subs 4/6]COPY requirements.txt=> CACHED [Lang-subs 5/6] RUN pip install--no-cache-dir -r requirements.txt= [lang-subs 6/6] COPY lang_subs.py[lang-subs]exporting toimage= exportinglayers== writingimage sha256:e7b015a420bc2f4a949476ff04d4341276aa701947f508eee59469530f65ee83=>= naming to docker.io/library/polygloth-lang-subsAdm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo rm -rf media/.lang_subs_cache/Sto.Para.5.S01E01Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo./run.sh Sto.Para.5.S01E01.mkv --duration 300Video:Sto.Para.5.S01E01.mkvCache: /media/.lang_subs_cache/Sto.Para.5.S01E01[1/4] Extracting audio...Extracting audio (first 300s)...[2/4] Transcribing...Transcribing with large-v3...Warning: You are sending unauthenticated requests to the HF Hub. Pleaseset a HF_TOKEN to enable higher rate limits and faster downloads.6 segments[3/4] Annotating with Claude...Segments 0-5...[4/4] Rendering outputs...Written: /media/Sto.Para.5.S01E01.assWritten: /media/Sto.Para.5.S01E01.study.mdDone.Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloths Connection to [IP_ADDRESS] closed by remote host.Connection to [IP_ADDRESS] closed.lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |100% <478•Fri 22 May 10:26:32T81-zshdocker:default0.050.050.950.050.050.050.0s0.050.050.0s0.[IP_ADDRESS].150.050.0s...
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70198
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2026-05-22T09:34:37.601072+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442477601_m1.jpg...
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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1
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_1
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API....
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idle
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accessibility
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
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Reminders
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Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
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API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
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Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
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Add Model
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API....
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2026-05-22T09:34:37.646847+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442477646_m2.jpg...
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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1
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_2
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation...
|
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
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New Tab
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Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
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Location Logger
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Sign in – Google accounts
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New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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1
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
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Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
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Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
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Customize sidebar
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Open history (⇧⌘H)
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Open Sidebar
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)...
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NULL
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NULL
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NULL
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70203
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2026-05-22T09:34:48.753481+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442488753_m1.jpg...
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_1
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import...
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Conversation","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call 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context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/chat","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"messages\": [","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Selected model: gemma4:e2b
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import...
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Favorites
jiminny
Recents
Applications
Documents
D Favorites
jiminny
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
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[{"role":"AXStaticText","text& [{"role":"AXStaticText","text":"Favorites","depth":6,"bounds":{"left":0.37167552,"top":0.1859537,"width":0.04920213,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"jiminny","depth":6,"bounds":{"left":0.37965426,"top":0.20590582,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Recents","depth":6,"bounds":{"left":0.37965426,"top":0.22825219,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Applications","depth":6,"bounds":{"left":0.37965426,"top":0.25059855,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Documents","depth":6,"bounds":{"left":0.37965426,"top":0.27294493,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Downloads","depth":6,"bounds":{"left":0.37965426,"top":0.2952913,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"lukas","depth":6,"bounds":{"left":0.37965426,"top":0.31763768,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"iCloud","depth":6,"bounds":{"left":0.37167552,"top":0.34557062,"width":0.04920213,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"iCloud Drive","depth":6,"bounds":{"left":0.37965426,"top":0.36552274,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sync folder","depth":6,"bounds":{"left":0.37965426,"top":0.38786912,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Locations","depth":6,"bounds":{"left":0.37167552,"top":0.41580206,"width":0.04920213,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"DXP4800PLUS-B5F","depth":6,"bounds":{"left":0.37965426,"top":0.43575418,"width":0.03025266,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Eject","depth":6,"bounds":{"left":0.4105718,"top":0.43735036,"width":0.0043218085,"height":0.009577015},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"Network","depth":6,"bounds":{"left":0.37965426,"top":0.45810056,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Tags","depth":6,"bounds":{"left":0.37167552,"top":0.48603353,"width":0.04920213,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"CRM","depth":6,"bounds":{"left":0.37965426,"top":0.5059856,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Orange","depth":6,"bounds":{"left":0.37965426,"top":0.528332,"width":0.03656915,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Red","depth":6,"bounds":{"left":0.37965426,"top":0.5506784,"width":0.03656915,"height":0.012769354},"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yellow","depth":6,"bounds":{"left":0.37965426,"top":0.57302475,"width":0.03656915,"height":0.012769354},"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Green","depth":6,"bounds":{"left":0.37965426,"top":0.5953711,"width":0.03656915,"height":0.012769354},"on_screen":false,"role_description":"text"}]...
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Favorites
jiminny
Recents
Applications
Documents
D Favorites
jiminny
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
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Red
Yellow
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelplahl•-zshDOCKER0 81DEV (-zsh)O $82APP (-zsh)screenpipe*84-zshAdm1n@DXP4800PLUS-B5F8:~$cd/volume2/docker/polyglothsudodockercompose build[sudo] password for Admin:[+] Building 1.7s (11/11) FINISHED=> [lang-subsinternal]load builddefinition from Dockerfile=>transferring dockerfile:419B→ [lang-subs internal] load metadata for docker.io/library/python:3.12-slim=> [lang-subsinternal]loaddockerignore= => transferring context: 2B= [lang-subs 1/6] FROM docker.io/library/python:3.12-slim@sha256:9d3abd9fc11d06998ccdbdd93b4dd49b5ad7d67fcbbc11c016eb0eb2c2194891=>[lang-subsinternal]load build context=> transferringcontext: 17.29kB=> CACHED [lang-subs 2/6]RUNapt-getupdate && apt-get install-y --no-install-recommendsffmpeg&& rm-rf /var/lib/apt/lists/*=> CACHED [lang-subs 3/6]WORKDIR /app=> CACHED [lang-subs 4/6]COPY requirements.txt=> CACHED [Lang-subs 5/6] RUN pip install--no-cache-dir -r requirements.txt= [lang-subs 6/6] COPY lang_subs.py[lang-subs]exporting toimage= exportinglayers== writingimage sha256:e7b015a420bc2f4a949476ff04d4341276aa701947f508eee59469530f65ee83=>= naming to docker.io/library/polygloth-lang-subsAdm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo rm -rf media/.lang_subs_cache/Sto.Para.5.S01E01Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo./run.sh Sto.Para.5.S01E01.mkv --duration 300Video:Sto.Para.5.S01E01.mkvCache: /media/.lang_subs_cache/Sto.Para.5.S01E01[1/4] Extracting audio...Extracting audio (first 300s)...[2/4] Transcribing...Transcribing with large-v3...Warning: You are sending unauthenticated requests to the HF Hub. Pleaseset a HF_TOKEN to enable higher rate limits and faster downloads.6 segments[3/4] Annotating with Claude...Segments 0-5...[4/4] Rendering outputs...Written: /media/Sto.Para.5.S01E01.assWritten: /media/Sto.Para.5.S01E01.study.mdDone.Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloths Connection to [IP_ADDRESS] closed by remote host.Connection to [IP_ADDRESS] closed.lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |100% <478•Fri 22 May 10:26:32T81-zshdocker:default0.050.050.950.050.050.050.0s0.050.050.0s0.[IP_ADDRESS].150.050.0s...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelplahl•-zshDOCKER0 81DEV (-zsh)O $82APP (-zsh)screenpipe*84-zshAdm1n@DXP4800PLUS-B5F8:~$cd/volume2/docker/polyglothsudodockercompose build[sudo] password for Admin:[+] Building 1.7s (11/11) FINISHED=> [lang-subsinternal]load builddefinition from Dockerfile=>transferring dockerfile:419B→ [lang-subs internal] load metadata for docker.io/library/python:3.12-slim=> [lang-subsinternal]loaddockerignore= => transferring context: 2B= [lang-subs 1/6] FROM docker.io/library/python:3.12-slim@sha256:9d3abd9fc11d06998ccdbdd93b4dd49b5ad7d67fcbbc11c016eb0eb2c2194891=>[lang-subsinternal]load build context=> transferringcontext: 17.29kB=> CACHED [lang-subs 2/6]RUNapt-getupdate && apt-get install-y --no-install-recommendsffmpeg&& rm-rf /var/lib/apt/lists/*=> CACHED [lang-subs 3/6]WORKDIR /app=> CACHED [lang-subs 4/6]COPY requirements.txt=> CACHED [Lang-subs 5/6] RUN pip install--no-cache-dir -r requirements.txt= [lang-subs 6/6] COPY lang_subs.py[lang-subs]exporting toimage= exportinglayers== writingimage sha256:e7b015a420bc2f4a949476ff04d4341276aa701947f508eee59469530f65ee83=>= naming to docker.io/library/polygloth-lang-subsAdm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo rm -rf media/.lang_subs_cache/Sto.Para.5.S01E01Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo./run.sh Sto.Para.5.S01E01.mkv --duration 300Video:Sto.Para.5.S01E01.mkvCache: /media/.lang_subs_cache/Sto.Para.5.S01E01[1/4] Extracting audio...Extracting audio (first 300s)...[2/4] Transcribing...Transcribing with large-v3...Warning: You are sending unauthenticated requests to the HF Hub. Pleaseset a HF_TOKEN to enable higher rate limits and faster downloads.6 segments[3/4] Annotating with Claude...Segments 0-5...[4/4] Rendering outputs...Written: /media/Sto.Para.5.S01E01.assWritten: /media/Sto.Para.5.S01E01.study.mdDone.Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloths Connection to [IP_ADDRESS] closed by remote host.Connection to [IP_ADDRESS] closed.lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |100% <478•Fri 22 May 10:26:32T81-zshdocker:default0.050.050.950.050.050.050.0s0.050.050.0s0.[IP_ADDRESS].150.050.0s...
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2026-05-22T09:34:56.570622+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442496570_m1.jpg...
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Firefox
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File Upload
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1
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monitor_1
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NULL
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NULL
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelplahl•-zshDOCKER0 81DEV (-zsh)O $82APP (-zsh)screenpipe*84-zshAdm1n@DXP4800PLUS-B5F8:~$cd/volume2/docker/polyglothsudodockercompose build[sudo] password for Admin:[+] Building 1.7s (11/11) FINISHED=> [lang-subsinternal]load builddefinition from Dockerfile=>transferring dockerfile:419B→ [lang-subs internal] load metadata for docker.io/library/python:3.12-slim=> [lang-subsinternal]loaddockerignore= => transferring context: 2B= [lang-subs 1/6] FROM docker.io/library/python:3.12-slim@sha256:9d3abd9fc11d06998ccdbdd93b4dd49b5ad7d67fcbbc11c016eb0eb2c2194891=>[lang-subsinternal]load build context=> transferringcontext: 17.29kB=> CACHED [lang-subs 2/6]RUNapt-getupdate && apt-get install-y --no-install-recommendsffmpeg&& rm-rf /var/lib/apt/lists/*=> CACHED [lang-subs 3/6]WORKDIR /app=> CACHED [lang-subs 4/6]COPY requirements.txt=> CACHED [Lang-subs 5/6] RUN pip install--no-cache-dir -r requirements.txt= [lang-subs 6/6] COPY lang_subs.py[lang-subs]exporting toimage= exportinglayers== writingimage sha256:e7b015a420bc2f4a949476ff04d4341276aa701947f508eee59469530f65ee83=>= naming to docker.io/library/polygloth-lang-subsAdm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo rm -rf media/.lang_subs_cache/Sto.Para.5.S01E01Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo./run.sh Sto.Para.5.S01E01.mkv --duration 300Video:Sto.Para.5.S01E01.mkvCache: /media/.lang_subs_cache/Sto.Para.5.S01E01[1/4] Extracting audio...Extracting audio (first 300s)...[2/4] Transcribing...Transcribing with large-v3...Warning: You are sending unauthenticated requests to the HF Hub. Pleaseset a HF_TOKEN to enable higher rate limits and faster downloads.6 segments[3/4] Annotating with Claude...Segments 0-5...[4/4] Rendering outputs...Written: /media/Sto.Para.5.S01E01.assWritten: /media/Sto.Para.5.S01E01.study.mdDone.Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloths Connection to [IP_ADDRESS] closed by remote host.Connection to [IP_ADDRESS] closed.lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |100% <478•Fri 22 May 10:26:32T81-zshdocker:default0.050.050.950.050.050.050.0s0.050.050.0s0.[IP_ADDRESS].150.050.0s...
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NULL
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-1390722132940296198
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NULL
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click
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ocr
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelplahl•-zshDOCKER0 81DEV (-zsh)O $82APP (-zsh)screenpipe*84-zshAdm1n@DXP4800PLUS-B5F8:~$cd/volume2/docker/polyglothsudodockercompose build[sudo] password for Admin:[+] Building 1.7s (11/11) FINISHED=> [lang-subsinternal]load builddefinition from Dockerfile=>transferring dockerfile:419B→ [lang-subs internal] load metadata for docker.io/library/python:3.12-slim=> [lang-subsinternal]loaddockerignore= => transferring context: 2B= [lang-subs 1/6] FROM docker.io/library/python:3.12-slim@sha256:9d3abd9fc11d06998ccdbdd93b4dd49b5ad7d67fcbbc11c016eb0eb2c2194891=>[lang-subsinternal]load build context=> transferringcontext: 17.29kB=> CACHED [lang-subs 2/6]RUNapt-getupdate && apt-get install-y --no-install-recommendsffmpeg&& rm-rf /var/lib/apt/lists/*=> CACHED [lang-subs 3/6]WORKDIR /app=> CACHED [lang-subs 4/6]COPY requirements.txt=> CACHED [Lang-subs 5/6] RUN pip install--no-cache-dir -r requirements.txt= [lang-subs 6/6] COPY lang_subs.py[lang-subs]exporting toimage= exportinglayers== writingimage sha256:e7b015a420bc2f4a949476ff04d4341276aa701947f508eee59469530f65ee83=>= naming to docker.io/library/polygloth-lang-subsAdm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo rm -rf media/.lang_subs_cache/Sto.Para.5.S01E01Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloth$sudo./run.sh Sto.Para.5.S01E01.mkv --duration 300Video:Sto.Para.5.S01E01.mkvCache: /media/.lang_subs_cache/Sto.Para.5.S01E01[1/4] Extracting audio...Extracting audio (first 300s)...[2/4] Transcribing...Transcribing with large-v3...Warning: You are sending unauthenticated requests to the HF Hub. Pleaseset a HF_TOKEN to enable higher rate limits and faster downloads.6 segments[3/4] Annotating with Claude...Segments 0-5...[4/4] Rendering outputs...Written: /media/Sto.Para.5.S01E01.assWritten: /media/Sto.Para.5.S01E01.study.mdDone.Adm1n@DXP4800PLUS-B5F8:/volume2/docker/polygloths Connection to [IP_ADDRESS] closed by remote host.Connection to [IP_ADDRESS] closed.lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ |100% <478•Fri 22 May 10:26:32T81-zshdocker:default0.050.050.950.050.050.050.0s0.050.050.0s0.[IP_ADDRESS].150.050.0s...
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70207
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14
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2026-05-22T09:34:59.864650+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442499864_m1.jpg...
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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1
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_1
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b...
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Photos","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"DXP4800PLUS-B5F8","depth":4,"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"DXP4800PLUS-B5F8","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"New Tab","depth":4,"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"New Tab","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"Nginx Proxy Manager","depth":4,"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Nginx Proxy Manager","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"Ollama API Setup 💻 • Open WebUI","depth":4,"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true},{"role":"AXStaticText","text":"Ollama API Setup 💻 • Open WebUI","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Close tab","depth":5,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXRadioButton","text":"Location Logger","depth":4,"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Location Logger","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"Sign in – Google accounts","depth":4,"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sign in – Google accounts","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"New Tab","depth":4,"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"New Tab","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"API Keys | Claude Platform","depth":4,"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"API Keys | Claude Platform","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"Notion","depth":4,"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Notion","depth":5,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"New Tab","depth":4,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Customize sidebar","depth":6,"bounds":{"left":0.48576388,"top":0.0,"width":0.022222223,"height":0.035555556},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open Google Gemini (⌃X)","depth":6,"bounds":{"left":0.5086806,"top":0.0,"width":0.022222223,"height":0.035555556},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open history (⇧⌘H)","depth":6,"bounds":{"left":0.53194445,"top":0.0,"width":0.022222223,"height":0.035555556},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open bookmarks (⌘B)","depth":6,"bounds":{"left":0.5552083,"top":0.0,"width":0.022222223,"height":0.035555556},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bitwarden [9+]","depth":6,"bounds":{"left":0.5784722,"top":0.0,"width":0.022222223,"height":0.035555556},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open Sidebar New Chat Search Notes Workspace","depth":10,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open Sidebar","depth":12,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"New Chat","depth":12,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Search","depth":12,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"Notes","depth":12,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"Workspace","depth":12,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open User Profile Menu","depth":10,"bounds":{"left":0.6319444,"top":0.0,"width":0.019444445,"height":0.031111112},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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1004590973687546953
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click
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accessibility
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b...
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2026-05-22T09:34:59.965182+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442499965_m2.jpg...
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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1
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_2
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:...
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Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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click
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accessibility
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:...
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442503483_m1.jpg...
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_1
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
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Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d...
|
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Conversation","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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click
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accessibility
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
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Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
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Sign in – Google accounts
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API Keys | Claude Platform
API Keys | Claude Platform
Notion
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Open Google Gemini (⌃X)
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Bitwarden [9+]
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Selected model: gemma4:e2b
gemma4:e2b
Add Model
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Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
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Notion
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Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
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Open Sidebar
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Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu...
|
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
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API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu...
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442504815_m1.jpg...
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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1
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_1
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434...
|
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that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. 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click
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accessibility
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
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Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
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Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
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Location Logger
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API Keys | Claude Platform
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Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
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Chat Conversation
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434...
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442504921_m2.jpg...
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Firefox
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_2
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
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Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
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Sign in – Google accounts
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API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse...
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User Profile Menu","depth":10,"bounds":{"left":0.5728058,"top":0.9648843,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"bounds":{"left":0.5909242,"top":0.05905826,"width":0.043550532,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"bounds":{"left":0.5915891,"top":0.061851557,"width":0.03557181,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add Model","depth":16,"bounds":{"left":0.6371343,"top":0.06424581,"width":0.004654255,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Controls","depth":14,"bounds":{"left":0.97207445,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"User menu","depth":13,"bounds":{"left":0.9840425,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"User menu","depth":15,"bounds":{"left":0.9896942,"top":0.061053474,"width":0.010305822,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"bounds":{"left":0.5859375,"top":0.07980846,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"bounds":{"left":0.5859375,"top":0.08180367,"width":0.04454787,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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Ollama API Setup 💻 • Open WebUI — Personal
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context....
|
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model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
|
-7958929635090889950
|
-2489313996919681719
|
typing_pause
|
accessibility
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NULL
|
Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
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DXP4800PLUS-B5F8
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New Tab
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
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Location Logger
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Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context....
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
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Reminders
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Photos - Google Photos
DXP4800PLUS-B5F8
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
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Close tab
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API Keys | Claude Platform
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Notion
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly
(using
curl
or Python) if you need to integrate the model into a custom application, script, or website.
Summary Checklist
Summary Checklist
GOAL
TOOL TO USE
ENDPOINT
ACCESS METHOD
Self-hosted Model Access
Ollama
http://[IP]:11434
REST API (POST requests)
Graphical Chatting
Open WebUI
(Web Interface)...
|
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that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. 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Define the request payload (what you are sending)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"llama3\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Explain the difference between Ollama and Open WebUI.\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"False","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 3. Make the POST request","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"try","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"post","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"raise_for_status","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Raise an exception for bad status codes (4xx or 5xx)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 4. Parse the JSON response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Print the generated text","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Generated Response:\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"get","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"response\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"))","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"except","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"exceptions","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"RequestException","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"f\"An error occurred:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. The Role of Open WebUI","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. The Role of Open WebUI","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is a powerful frontend tool that provides a graphical interface for chatting.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Does it expose an API?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Generally,","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"no","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"with","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the backend (Ollama).","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How to use it in your setup:","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Ollama","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(running the model).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Open WebUI","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(to chat with the model visually).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You use the Ollama API directly","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(using","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or Python) if you need to integrate the model into a custom application, script, or website.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Summary Checklist","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Summary Checklist","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"GOAL","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"TOOL TO USE","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ENDPOINT","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ACCESS METHOD","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Self-hosted Model Access","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[IP]:11434","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"REST API (POST requests)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Graphical Chatting","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(Web Interface)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Selected model: gemma4:e2b
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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Save
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curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly
(using
curl
or Python) if you need to integrate the model into a custom application, script, or website.
Summary Checklist
Summary Checklist
GOAL
TOOL TO USE
ENDPOINT
ACCESS METHOD
Self-hosted Model Access
Ollama
http://[IP]:11434
REST API (POST requests)
Graphical Chatting
Open WebUI
(Web Interface)...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint...
|
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Conversation","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call 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http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/chat","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"messages\": [","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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typing_pause
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accessibility
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Welcome to authentik! - authentik
Welcome to authentik! - authentik
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Customize sidebar
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New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
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Add Model
Controls
User menu
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Chat Conversation
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
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Screenpipe — Archive
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Reminders
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DXP4800PLUS-B5F8
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
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Close tab
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API Keys | Claude Platform
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Notion
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save...
|
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(⌘B)","depth":6,"bounds":{"left":0.53607047,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bitwarden [9+]","depth":6,"bounds":{"left":0.5472075,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open Sidebar New Chat Search Notes Workspace","depth":10,"bounds":{"left":0.57147604,"top":0.057462092,"width":0.011968086,"height":0.9010375},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open Sidebar","depth":12,"bounds":{"left":0.57147604,"top":0.057462092,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"New Chat","depth":12,"bounds":{"left":0.57147604,"top":0.0905826,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Search","depth":12,"bounds":{"left":0.57147604,"top":0.11931365,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"Notes","depth":12,"bounds":{"left":0.57147604,"top":0.14804469,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"Workspace","depth":12,"bounds":{"left":0.57147604,"top":0.17677574,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open User Profile Menu","depth":10,"bounds":{"left":0.5728058,"top":0.9648843,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"bounds":{"left":0.5909242,"top":0.05905826,"width":0.043550532,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"bounds":{"left":0.5915891,"top":0.061851557,"width":0.03557181,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add Model","depth":16,"bounds":{"left":0.6371343,"top":0.06424581,"width":0.004654255,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Controls","depth":14,"bounds":{"left":0.97207445,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"User menu","depth":13,"bounds":{"left":0.9840425,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"User menu","depth":15,"bounds":{"left":0.9896942,"top":0.061053474,"width":0.010305822,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"bounds":{"left":0.5859375,"top":0.07980846,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"bounds":{"left":0.5859375,"top":0.08180367,"width":0.04454787,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Screenpipe — Archive
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Reminders
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DXP4800PLUS-B5F8
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New Tab
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
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API Keys | Claude Platform
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Notion
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Customize sidebar
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Selected model: gemma4:e2b
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
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Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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Collapse
Save...
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Ollama API Setup 💻 • Open WebUI — Personal
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
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Notion
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Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
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New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
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Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly
(using
curl
or Python) if you need to integrate the model into a custom application, script, or website.
Summary Checklist
Summary Checklist
GOAL
TOOL TO USE
ENDPOINT
ACCESS METHOD
Self-hosted Model Access
Ollama
http://[IP]:11434
REST API (POST requests)
Graphical Chatting
Open WebUI
(Web Interface)
Browser
Programmatic API Calls
curl
or
Python (
requests
)
/api/chat
or
/api/generate
HTTP Request
GOAL
Self-hosted Model Access
Graphical Chatting...
|
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Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"http://localhost:11434/api/generate\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 2. Define the request payload (what you are sending)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"llama3\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Explain the difference between Ollama and Open WebUI.\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"False","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 3. 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The Role of Open WebUI","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. The Role of Open WebUI","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is a powerful frontend tool that provides a graphical interface for chatting.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Does it expose an API?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Generally,","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"no","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"with","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the backend (Ollama).","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How to use it in your setup:","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Ollama","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(running the model).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Open WebUI","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(to chat with the model visually).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You use the Ollama API directly","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(using","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or Python) if you need to integrate the model into a custom application, script, or website.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Summary Checklist","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Summary Checklist","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"GOAL","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"TOOL TO USE","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ENDPOINT","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ACCESS METHOD","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Self-hosted Model Access","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[IP]:11434","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"REST API (POST requests)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Graphical Chatting","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(Web Interface)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Browser","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Programmatic API Calls","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python (","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HTTP Request","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"GOAL","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Self-hosted Model Access","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Graphical Chatting","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
|
-3207960284683963262
|
-2451665052335128309
|
typing_pause
|
accessibility
|
NULL
|
Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
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Reminders
Reminders
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DXP4800PLUS-B5F8
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New Tab
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
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Notion
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly
(using
curl
or Python) if you need to integrate the model into a custom application, script, or website.
Summary Checklist
Summary Checklist
GOAL
TOOL TO USE
ENDPOINT
ACCESS METHOD
Self-hosted Model Access
Ollama
http://[IP]:11434
REST API (POST requests)
Graphical Chatting
Open WebUI
(Web Interface)
Browser
Programmatic API Calls
curl
or
Python (
requests
)
/api/chat
or
/api/generate
HTTP Request
GOAL
Self-hosted Model Access
Graphical Chatting...
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Firefox
|
Ollama API Setup 💻 • Open WebUI — Personal
|
1
|
ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
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API Keys | Claude Platform
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Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the...
|
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User Profile Menu","depth":10,"bounds":{"left":0.5728058,"top":0.9648843,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"bounds":{"left":0.5909242,"top":0.05905826,"width":0.043550532,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"bounds":{"left":0.5915891,"top":0.061851557,"width":0.03557181,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add 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menu","depth":15,"bounds":{"left":0.9896942,"top":0.061053474,"width":0.010305822,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"bounds":{"left":0.5859375,"top":0.07980846,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"bounds":{"left":0.5859375,"top":0.08180367,"width":0.04454787,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted 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WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. 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The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call 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http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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-d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Open Google Gemini (⌃X)
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Open User Profile Menu
Selected model: gemma4:e2b
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Add Model
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Welcome to authentik! - authentik
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Open User Profile Menu
Selected model: gemma4:e2b
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Add Model
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Chat Conversation...
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-1892936976708263018
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968702985091007497
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typing_pause
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accessibility
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NULL
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation...
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NULL
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NULL
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NULL
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NULL
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70220
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2517
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20
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2026-05-22T09:35:12.241260+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442512241_m1.jpg...
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Firefox
|
Ollama API Setup 💻 • Open WebUI — Personal
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1
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint...
|
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Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"}]...
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typing_pause
|
accessibility
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NULL
|
Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint...
|
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NULL
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NULL
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70221
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2517
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2026-05-22T09:35:15.676353+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442515676_m1.jpg...
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Firefox
|
Ollama API Setup 💻 • Open WebUI — Personal
|
1
|
ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_1
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NULL
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NULL
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NULL
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NULL
|
Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Selected model: gemma4:e2b
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
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Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
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Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)...
|
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Conversation","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call 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context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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-2489032521959618229
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typing_pause
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accessibility
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NULL
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)...
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Ollama API Setup 💻 • Open WebUI — Personal
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1
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",...
|
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Claude Platform","depth":5,"bounds":{"left":0.51329786,"top":0.5865922,"width":0.046043884,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"Notion","depth":4,"bounds":{"left":0.5,"top":0.60814047,"width":0.06881649,"height":0.032721467},"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Notion","depth":5,"bounds":{"left":0.51329786,"top":0.61931366,"width":0.011469414,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"New Tab","depth":4,"bounds":{"left":0.5028258,"top":0.6424581,"width":0.06333112,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Customize sidebar","depth":6,"bounds":{"left":0.5028258,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open Google Gemini (⌃X)","depth":6,"bounds":{"left":0.51379657,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open history (⇧⌘H)","depth":6,"bounds":{"left":0.5249335,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Open bookmarks (⌘B)","depth":6,"bounds":{"left":0.53607047,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bitwarden [9+]","depth":6,"bounds":{"left":0.5472075,"top":0.97007185,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open Sidebar New Chat Search Notes Workspace","depth":10,"bounds":{"left":0.57147604,"top":0.057462092,"width":0.011968086,"height":0.9010375},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open Sidebar","depth":12,"bounds":{"left":0.57147604,"top":0.057462092,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"New Chat","depth":12,"bounds":{"left":0.57147604,"top":0.0905826,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Search","depth":12,"bounds":{"left":0.57147604,"top":0.11931365,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"Notes","depth":12,"bounds":{"left":0.57147604,"top":0.14804469,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"Workspace","depth":12,"bounds":{"left":0.57147604,"top":0.17677574,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open User Profile Menu","depth":10,"bounds":{"left":0.5728058,"top":0.9648843,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"bounds":{"left":0.5909242,"top":0.05905826,"width":0.043550532,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"bounds":{"left":0.5915891,"top":0.061851557,"width":0.03557181,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add Model","depth":16,"bounds":{"left":0.6371343,"top":0.06424581,"width":0.004654255,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Controls","depth":14,"bounds":{"left":0.97207445,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"User menu","depth":13,"bounds":{"left":0.9840425,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"User menu","depth":15,"bounds":{"left":0.9896942,"top":0.061053474,"width":0.010305822,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"bounds":{"left":0.5859375,"top":0.07980846,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"bounds":{"left":0.5859375,"top":0.08180367,"width":0.04454787,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Ollama API Setup 💻 • Open WebUI
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New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
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Add Model
Controls
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
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Close tab
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API Keys | Claude Platform
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Notion
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (...
|
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Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. 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The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. 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-2489313996936327927
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typing_pause
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
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DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
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Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
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API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
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Reminders
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Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
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API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama)....
|
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Menu","depth":10,"bounds":{"left":0.6319444,"top":0.0,"width":0.019444445,"height":0.031111112},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add 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Conversation","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"http://localhost:11434/api/generate\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 2. Define the request payload (what you are sending)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"llama3\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Explain the difference between Ollama and Open WebUI.\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"False","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 3. Make the POST request","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"try","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"post","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"raise_for_status","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Raise an exception for bad status codes (4xx or 5xx)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 4. Parse the JSON response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Print the generated text","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Generated Response:\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"get","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"response\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"))","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"except","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"exceptions","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"RequestException","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"f\"An error occurred:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. The Role of Open WebUI","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. The Role of Open WebUI","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is a powerful frontend tool that provides a graphical interface for chatting.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Does it expose an API?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Generally,","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"no","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"with","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the backend (Ollama).","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Open User Profile Menu
Selected model: gemma4:e2b
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
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Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama)....
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Open User Profile Menu
Selected model: gemma4:e2b
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Add Model
Controls
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Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint...
|
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User Profile Menu","depth":10,"bounds":{"left":0.5728058,"top":0.9648843,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"bounds":{"left":0.5909242,"top":0.05905826,"width":0.043550532,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"bounds":{"left":0.5915891,"top":0.061851557,"width":0.03557181,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add Model","depth":16,"bounds":{"left":0.6371343,"top":0.06424581,"width":0.004654255,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Controls","depth":14,"bounds":{"left":0.97207445,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"User menu","depth":13,"bounds":{"left":0.9840425,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"User menu","depth":15,"bounds":{"left":0.9896942,"top":0.061053474,"width":0.010305822,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"bounds":{"left":0.5859375,"top":0.07980846,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"bounds":{"left":0.5859375,"top":0.08180367,"width":0.04454787,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
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Screenpipe — Archive
Reminders
Reminders
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Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
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Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
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Location Logger
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API Keys | Claude Platform
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Notion
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
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Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint...
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Ollama API Setup 💻 • Open WebUI — Personal
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
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Reminders
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Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
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Location Logger
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API Keys | Claude Platform
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Notion
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI...
|
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Model","depth":16,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Controls","depth":14,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"User menu","depth":13,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"User menu","depth":15,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"http://localhost:11434/api/generate\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 2. Define the request payload (what you are sending)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"llama3\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Explain the difference between Ollama and Open WebUI.\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"False","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 3. Make the POST request","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"try","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"post","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"raise_for_status","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Raise an exception for bad status codes (4xx or 5xx)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 4. Parse the JSON response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Print the generated text","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Generated Response:\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"get","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"response\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"))","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"except","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"exceptions","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"RequestException","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"f\"An error occurred:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. The Role of Open WebUI","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. The Role of Open WebUI","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is a powerful frontend tool that provides a graphical interface for chatting.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Does it expose an API?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Generally,","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"no","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"with","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the backend (Ollama).","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How to use it in your setup:","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Ollama","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(running the model).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Open WebUI","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
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Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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Run
Run
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Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly...
|
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that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. 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(/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/chat","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"messages\": [","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"http://localhost:11434/api/generate\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 2. Define the request payload (what you are sending)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"llama3\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Explain the difference between Ollama and Open WebUI.\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"False","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 3. Make the POST request","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"try","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"post","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"raise_for_status","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Raise an exception for bad status codes (4xx or 5xx)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 4. Parse the JSON response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Print the generated text","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Generated Response:\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"get","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"response\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"))","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"except","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"exceptions","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"RequestException","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"f\"An error occurred:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. The Role of Open WebUI","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. The Role of Open WebUI","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is a powerful frontend tool that provides a graphical interface for chatting.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Does it expose an API?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Generally,","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"no","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"with","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the backend (Ollama).","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How to use it in your setup:","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Ollama","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(running the model).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Open WebUI","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(to chat with the model visually).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You use the Ollama API directly","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy...
|
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User Profile Menu","depth":10,"bounds":{"left":0.5728058,"top":0.9648843,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"bounds":{"left":0.5909242,"top":0.05905826,"width":0.043550532,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"bounds":{"left":0.5915891,"top":0.061851557,"width":0.03557181,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add Model","depth":16,"bounds":{"left":0.6371343,"top":0.06424581,"width":0.004654255,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Controls","depth":14,"bounds":{"left":0.97207445,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"User menu","depth":13,"bounds":{"left":0.9840425,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"User menu","depth":15,"bounds":{"left":0.9896942,"top":0.061053474,"width":0.010305822,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"bounds":{"left":0.5859375,"top":0.07980846,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"bounds":{"left":0.5859375,"top":0.08180367,"width":0.04454787,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/chat","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"messages\": [","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
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Run
Run
Save
Copy...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X...
|
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model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
|
7426095932511316833
|
-2489032521942839989
|
typing_pause
|
accessibility
|
NULL
|
Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X...
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70230
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2517
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25
|
2026-05-22T09:35:23.851705+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442523851_m1.jpg...
|
Firefox
|
Ollama API Setup 💻 • Open WebUI — Personal
|
1
|
ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
|
monitor_1
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NULL
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NULL
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NULL
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NULL
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException...
|
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that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"http://localhost:11434/api/generate\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 2. Define the request payload (what you are sending)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"llama3\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Explain the difference between Ollama and Open WebUI.\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"False","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 3. Make the POST request","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"try","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"post","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"raise_for_status","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Raise an exception for bad status codes (4xx or 5xx)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 4. Parse the JSON response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Print the generated text","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Generated Response:\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"get","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"response\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"))","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"except","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"exceptions","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"RequestException","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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typing_pause
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Welcome to authentik! - authentik
Welcome to authentik! - authentik
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Open User Profile Menu
Selected model: gemma4:e2b
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Add Model
Controls
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Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X...
|
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Paperless-ngx","depth":4,"bounds":{"left":0.5,"top":0.08459697,"width":0.06881649,"height":0.032721467},"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Ambulatory sheet - Paperless-ngx","depth":5,"bounds":{"left":0.51329786,"top":0.09577015,"width":0.059507977,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXRadioButton","text":"💬1 - Apple MacBook Pro 14\" Space Black M5 Max | Laptop.bg - Технологията с теб","depth":4,"bounds":{"left":0.5,"top":0.11731844,"width":0.06881649,"height":0.032721467},"on_screen":true,"help_text":"","role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"💬1 - Apple MacBook Pro 14\" Space Black M5 Max | Laptop.bg - Технологията с 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Sidebar","depth":12,"bounds":{"left":0.57147604,"top":0.057462092,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXLink","text":"New 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User Profile Menu","depth":10,"bounds":{"left":0.5728058,"top":0.9648843,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"bounds":{"left":0.5909242,"top":0.05905826,"width":0.043550532,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"bounds":{"left":0.5915891,"top":0.061851557,"width":0.03557181,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add Model","depth":16,"bounds":{"left":0.6371343,"top":0.06424581,"width":0.004654255,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Controls","depth":14,"bounds":{"left":0.97207445,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"User menu","depth":13,"bounds":{"left":0.9840425,"top":0.055067837,"width":0.011968086,"height":0.028731046},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"User menu","depth":15,"bounds":{"left":0.9896942,"top":0.061053474,"width":0.010305822,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"bounds":{"left":0.5859375,"top":0.07980846,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"bounds":{"left":0.5859375,"top":0.08180367,"width":0.04454787,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
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Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
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API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly
(using
curl
or Python) if you need to integrate the model into a custom application, script, or website.
Summary Checklist
Summary Checklist
GOAL...
|
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API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"http://localhost:11434/api/generate\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 2. Define the request payload (what you are sending)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"llama3\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Explain the difference between Ollama and Open WebUI.\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"False","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 3. 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The Role of Open WebUI","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. The Role of Open WebUI","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is a powerful frontend tool that provides a graphical interface for chatting.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Does it expose an API?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Generally,","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"no","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"with","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the backend (Ollama).","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How to use it in your setup:","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Ollama","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(running the model).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Open WebUI","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(to chat with the model visually).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You use the Ollama API directly","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(using","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or Python) if you need to integrate the model into a custom application, script, or website.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Summary Checklist","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Summary Checklist","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"GOAL","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
|
-2282393194155040943
|
-2451735489798782709
|
typing_pause
|
accessibility
|
NULL
|
Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
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API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly
(using
curl
or Python) if you need to integrate the model into a custom application, script, or website.
Summary Checklist
Summary Checklist
GOAL...
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25
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2026-05-22T09:35:25.703047+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-22/1779 /Users/lukas/.screenpipe/data/data/2026-05-22/1779442525703_m2.jpg...
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Ollama API Setup 💻 • Open WebUI — Personal
|
1
|
ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_2
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
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API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint...
|
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User Profile Menu","depth":10,"bounds":{"left":0.5728058,"top":0.9648843,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Selected model: gemma4:e2b","depth":16,"bounds":{"left":0.5909242,"top":0.05905826,"width":0.043550532,"height":0.022346368},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"gemma4:e2b","depth":18,"bounds":{"left":0.5915891,"top":0.061851557,"width":0.03557181,"height":0.01715882},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add 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menu","depth":15,"bounds":{"left":0.9896942,"top":0.061053474,"width":0.010305822,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"bounds":{"left":0.5859375,"top":0.07980846,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"bounds":{"left":0.5859375,"top":0.08180367,"width":0.04454787,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted 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WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. 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The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. 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(/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated 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http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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-d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
|
-8794110749422252904
|
-2451174120397518517
|
typing_pause
|
accessibility
|
NULL
|
Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
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Reminders
Reminders
Photos - Google Photos
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DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
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Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
New Tab
API Keys | Claude Platform
API Keys | Claude Platform
Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint...
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Ollama API Setup 💻 • Open WebUI — Personal
|
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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monitor_1
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
Ambulatory sheet - Paperless-ngx
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
Welcome to authentik! - authentik
Welcome to authentik! - authentik
Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
Screenpipe — Archive
Reminders
Reminders
Photos - Google Photos
Photos - Google Photos
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Nginx Proxy Manager
Nginx Proxy Manager
Ollama API Setup 💻 • Open WebUI
Ollama API Setup 💻 • Open WebUI
Close tab
Location Logger
Location Logger
Sign in – Google accounts
Sign in – Google accounts
New Tab
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API Keys | Claude Platform
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Notion
Notion
New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly
(using
curl
or Python) if you need to integrate the model into a custom application, script, or website.
Summary Checklist
Summary Checklist
GOAL
TOOL TO USE
ENDPOINT
ACCESS METHOD
Self-hosted Model Access
Ollama
http://[IP]:11434
REST API (POST requests)
Graphical Chatting
Open WebUI
(Web Interface)
Browser
Programmatic API Calls
curl
or
Python (
requests
)
/api/chat
or
/api/generate
HTTP Request...
|
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Conversation","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST 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models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"http://localhost:11434/api/generate\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 2. Define the request payload (what you are sending)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"llama3\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Explain the difference between Ollama and Open WebUI.\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"False","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 3. Make the POST request","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"try","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"post","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"raise_for_status","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Raise an exception for bad status codes (4xx or 5xx)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 4. Parse the JSON response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Print the generated text","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Generated Response:\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"get","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"response\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"))","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"except","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"exceptions","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"RequestException","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"f\"An error occurred:","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. The Role of Open WebUI","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. The Role of Open WebUI","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is a powerful frontend tool that provides a graphical interface for chatting.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Does it expose an API?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Generally,","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"no","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"with","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the backend (Ollama).","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How to use it in your setup:","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Ollama","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(running the model).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You set up Open WebUI","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(to chat with the model visually).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You use the Ollama API directly","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(using","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or Python) if you need to integrate the model into a custom application, script, or website.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Summary Checklist","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Summary Checklist","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"GOAL","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"TOOL TO USE","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ENDPOINT","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ACCESS METHOD","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Self-hosted Model Access","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[IP]:11434","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"REST API (POST requests)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Graphical Chatting","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(Web Interface)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Browser","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Programmatic API Calls","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python (","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"HTTP Request","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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Run
Run
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Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:
print
(
f"An error occurred:
{
e
}
"
)
4. The Role of Open WebUI
4. The Role of Open WebUI
Open WebUI
is a powerful frontend tool that provides a graphical interface for chatting.
Does it expose an API?
Generally,
no
, not as a primary source for programmatic API calls. Open WebUI acts as a client that communicates
with
the backend (Ollama).
How to use it in your setup:
You set up Ollama
(running the model).
You set up Open WebUI
(to chat with the model visually).
You use the Ollama API directly
(using
curl
or Python) if you need to integrate the model into a custom application, script, or website.
Summary Checklist
Summary Checklist
GOAL
TOOL TO USE
ENDPOINT
ACCESS METHOD
Self-hosted Model Access
Ollama
http://[IP]:11434
REST API (POST requests)
Graphical Chatting
Open WebUI
(Web Interface)
Browser
Programmatic API Calls
curl
or
Python (
requests
)
/api/chat
or
/api/generate
HTTP Request...
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
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Selected model: gemma4:e2b
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings....
|
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menu","depth":15,"bounds":{"left":0.9896942,"top":0.061053474,"width":0.010305822,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Chat Conversation","depth":15,"bounds":{"left":0.5859375,"top":0.07980846,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Chat Conversation","depth":16,"bounds":{"left":0.5859375,"top":0.08180367,"width":0.04454787,"height":0.015163607},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"gemma4:e2b","depth":21,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Thought for 2 minutes","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings....
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Ollama API Setup 💻 • Open WebUI — Personal
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ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371 ai.chat.lakylak.xyz/c/ac2a9877-420f-403e-bc4f-4371a1766cfa...
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Nvidia's RTX HDR feature is game-changing (lit Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Nvidia's RTX HDR feature is game-changing (literally) - [EMAIL] - Gmail
Ambulatory sheet - Paperless-ngx
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💬1 - Apple MacBook Pro 14" Space Black M5 Max | Laptop.bg - Технологията с теб
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Apple Mac Studio M4 Max | Desktop.bg - Мощни PC Гейминг конфигурации, Персонални компютри на изплащане за игри и работа
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Welcome to authentik! - authentik
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Завеждане на щета онлайн | Euroins
Завеждане на щета онлайн | Euroins
Screenpipe — Archive
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Reminders
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DXP4800PLUS-B5F8
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New Tab
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Nginx Proxy Manager
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Ollama API Setup 💻 • Open WebUI
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Close tab
Location Logger
Location Logger
Sign in – Google accounts
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API Keys | Claude Platform
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Notion
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New Tab
Customize sidebar
Open Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden [9+]
Open Sidebar New Chat Search Notes Workspace
Open Sidebar
New Chat
Search
Notes
Workspace
Open User Profile Menu
Selected model: gemma4:e2b
gemma4:e2b
Add Model
Controls
User menu
User menu
Chat Conversation
Chat Conversation
How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
Collapse
Collapse
Save
Copy
curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
Collapse
Collapse
Run
Run
Save
Copy
import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:...
|
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that","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is the service that exposes the REST API, while","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open WebUI","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"is primarily a graphical user interface (GUI) for chatting with those models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a complete guide on how you can access and interact with your self-hosted model via API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. Understanding Ollama as the API Endpoint","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Understanding Ollama as the API Endpoint","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"A. Default API URL","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"A. Default API URL","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, Ollama runs on:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"URL:","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://localhost:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if running on the same machine)","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"http://[Your_Server_IP]:11434","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(if you are accessing it from another device on your local network).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"B. API Methods","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"B. API Methods","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Ollama uses standard HTTP methods (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":") to interact with its endpoints. The most common endpoints for generating text are:","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating a single response based on a prompt.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For multi-turn conversations (simulating a chat interface).","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/embeddings","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":": For generating vector embeddings.","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How to Make the REST API Call (Using curl)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How to Make the REST API Call (Using","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can use command-line tools like","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"curl","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"to test and interact with the Ollama API directly.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 1: Single Generation Call (/api/generate)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 1: Single Generation Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/generate","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This example sends a prompt to the model and waits for the generated response.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/generate -d '{ \"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral) \"prompt\": \"Write a short poem about self-hosting AI.\", \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/generate","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\", // Replace with the model you have downloaded (e.g., llama3, mistral)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\": \"Write a short poem about self-hosting AI.\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Example 2: Chat Completion Call (/api/chat)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Example 2: Chat Completion Call (","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"/api/chat","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is better for conversational use, as it maintains context.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"bash","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","depth":24,"on_screen":false,"value":"curl -X POST http://localhost:11434/api/chat -d '{ \"model\": \"llama3\", \"messages\": [ {\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"} ], \"stream\": false}'","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"curl","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-X","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"POST http://localhost:11434/api/chat","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"-d","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"'{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\": \"llama3\",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"messages\": [","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{\"role\": \"user\", \"content\": \"What are the benefits of using self-hosted models?\"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"],","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\": false","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}'","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. Using Programming Languages (The Professional Way)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. Using Programming Languages (The Professional Way)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Python Example (Recommended)","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python Example (Recommended)","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Python, with the","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"library, is the easiest way to interact with the Ollama API.","depth":22,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"python","depth":25,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Run","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Run","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Save","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","depth":24,"on_screen":false,"value":"import requestsimport json\n# 1. Define the API endpointurl = \"http://localhost:11434/api/generate\"\n# 2. Define the request payload (what you are sending)payload = { \"model\": \"llama3\", \"prompt\": \"Explain the difference between Ollama and Open WebUI.\", \"stream\": False}\n# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print(\"Generated Response:\") print(result.get(\"response\"))\nexcept requests.exceptions.RequestException as e: print(f\"An error occurred: {e}\")","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"import","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 1. Define the API endpoint","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"http://localhost:11434/api/generate\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 2. Define the request payload (what you are sending)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"{","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"model\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"llama3\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"prompt\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Explain the difference between Ollama and Open WebUI.\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"stream\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"False","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"}","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 3. Make the POST request","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"try","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"post","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"url","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":",","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"payload","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"raise_for_status","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Raise an exception for bad status codes (4xx or 5xx)","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# 4. Parse the JSON response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"=","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"response","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"json","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"()","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"# Print the generated text","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"Generated Response:\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":")","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"print","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"result","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"get","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"\"response\"","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"))","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"except","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"requests","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"exceptions","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"RequestException","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"as","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"e","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":":","depth":26,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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How can I access api via url and make rest api call to ollama or open web ui. i want to use selfhosted model
gemma4:e2b
Thought for 2 minutes
This is a very common setup when deploying self-hosted LLMs. The key to accessing your self-hosted model is to understand that
Ollama
is the service that exposes the REST API, while
Open WebUI
is primarily a graphical user interface (GUI) for chatting with those models.
Here is a complete guide on how you can access and interact with your self-hosted model via API.
1. Understanding Ollama as the API Endpoint
1. Understanding Ollama as the API Endpoint
When you install Ollama, it automatically runs a service that exposes a fully compatible REST API. This is the direct endpoint you need to interact with your models.
A. Default API URL
A. Default API URL
By default, Ollama runs on:
URL:
http://localhost:11434
(if running on the same machine)
or
http://[Your_Server_IP]:11434
(if you are accessing it from another device on your local network).
B. API Methods
B. API Methods
Ollama uses standard HTTP methods (
POST
) to interact with its endpoints. The most common endpoints for generating text are:
/api/generate
: For generating a single response based on a prompt.
/api/chat
: For multi-turn conversations (simulating a chat interface).
/api/embeddings
: For generating vector embeddings.
2. How to Make the REST API Call (Using curl)
2. How to Make the REST API Call (Using
curl
)
You can use command-line tools like
curl
to test and interact with the Ollama API directly.
Example 1: Single Generation Call (/api/generate)
Example 1: Single Generation Call (
/api/generate
)
This example sends a prompt to the model and waits for the generated response.
bash
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Save
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curl -X POST http://localhost:11434/api/generate -d '{ "model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral) "prompt": "Write a short poem about self-hosting AI.", "stream": false}'
curl
-X
POST http://localhost:11434/api/generate
-d
'{
"model": "llama3", // Replace with the model you have downloaded (e.g., llama3, mistral)
"prompt": "Write a short poem about self-hosting AI.",
"stream": false
}'
Example 2: Chat Completion Call (/api/chat)
Example 2: Chat Completion Call (
/api/chat
)
This is better for conversational use, as it maintains context.
bash
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Save
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curl -X POST http://localhost:11434/api/chat -d '{ "model": "llama3", "messages": [ {"role": "user", "content": "What are the benefits of using self-hosted models?"} ], "stream": false}'
curl
-X
POST http://localhost:11434/api/chat
-d
'{
"model": "llama3",
"messages": [
{"role": "user", "content": "What are the benefits of using self-hosted models?"}
],
"stream": false
}'
3. Using Programming Languages (The Professional Way)
3. Using Programming Languages (The Professional Way)
For robust applications, you will typically use a programming language like Python to handle the HTTP requests, JSON parsing, and error handling.
Python Example (Recommended)
Python Example (Recommended)
Python, with the
requests
library, is the easiest way to interact with the Ollama API.
python
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import requestsimport json
# 1. Define the API endpointurl = "http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)payload = { "model": "llama3", "prompt": "Explain the difference between Ollama and Open WebUI.", "stream": False}
# 3. Make the POST requesttry: response = requests.post(url, json=payload) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) # 4. Parse the JSON response result = response.json() # Print the generated text print("Generated Response:") print(result.get("response"))
except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
import
requests
import
json
# 1. Define the API endpoint
url
=
"http://localhost:11434/api/generate"
# 2. Define the request payload (what you are sending)
payload
=
{
"model"
:
"llama3"
,
"prompt"
:
"Explain the difference between Ollama and Open WebUI."
,
"stream"
:
False
}
# 3. Make the POST request
try
:
response
=
requests
.
post
(
url
,
json
=
payload
)
response
.
raise_for_status
()
# Raise an exception for bad status codes (4xx or 5xx)
# 4. Parse the JSON response
result
=
response
.
json
()
# Print the generated text
print
(
"Generated Response:"
)
print
(
result
.
get
(
"response"
))
except
requests
.
exceptions
.
RequestException
as
e
:...
|
70234
|
NULL
|
NULL
|
NULL
|