Hello everyone, welcome to my latest blog post!
My name is Suzaril Shah and I am a Microsoft AI MVP and a Gold Microsoft Learn Student Ambassador from Malaysia.
I am excited to share how you can Integrate Azure OpenAI API on Ollama Web UI using LiteLLM Proxy.
Introductions
Ollama WebUI is a streamlined interface for deploying and interacting with open-source large language models (LLMs) like Llama 3 and Mistral, enabling users to manage models, test th...
Hi, could you precise the yaml configuration to connect a Mistral Large Inference deployed on Azure AI ?
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Proxy","id":"message:4386612","revisionNum":1,"repliesCount":2,"author":{"__ref":"User:user:756923"},"depth":0,"hasGivenKudo":false,"board":{"__ref":"Blog:board:EducatorDeveloperBlog"},"conversation":{"__ref":"Conversation:conversation:4386612"},"messagePolicies":{"__typename":"MessagePolicies","canPublishArticleOnEdit":{"__typename":"PolicyResult","failureReason":{"__typename":"FailureReason","message":"error.lithium.policies.forums.policy_can_publish_on_edit_workflow_action.accessDenied","key":"error.lithium.policies.forums.policy_can_publish_on_edit_workflow_action.accessDenied","args":[]}},"canModerateSpamMessage":{"__typename":"PolicyResult","failureReason":{"__typename":"FailureReason","message":"error.lithium.policies.feature.moderation_spam.action.moderate_entity.allowed.accessDenied","key":"error.lithium.policies.feature.moderation_spam.action.moderate_entity.allowed.accessDenied","args":[]}}},"contentWorkflow":{"__typename":"ContentWorkflow","state":"PUBLISH","scheduledPublishTime":null,"scheduledTimezone":null,"userContext":{"__typename":"MessageWorkflowContext","canSubmitForReview":null,"canEdit":false,"canRecall":null,"canSubmitForPublication":null,"canReturnToAuthor":null,"canPublish":null,"canReturnToReview":null,"canSchedule":false},"shortScheduledTimezone":null},"readOnly":false,"editFrozen":false,"moderationData":{"__ref":"ModerationData:moderation_data:4386612"},"teaser@stripHtml({\"truncateLength\":200})":"","body@stripHtml({\"truncateLength\":200})":" Introductions \n Ollama WebUI is a streamlined interface for deploying and interacting with open-source large language models (LLMs) like Llama 3 and Mistral, enabling users to manage models, test th...","body@stringLength":"11170","rawBody":"
Introductions
\n
Ollama WebUI is a streamlined interface for deploying and interacting with open-source large language models (LLMs) like Llama 3 and Mistral, enabling users to manage models, test them via a ChatGPT-like chat environment, and integrate them into applications through Ollama’s local API. While it excels for self-hosted models on platforms like Azure VMs, it does not natively support Azure OpenAI API endpoints—OpenAI’s proprietary models (e.g., GPT-4) remain accessible only through OpenAI’s managed API. However, tools like LiteLLM bridge this gap, allowing developers to combine Ollama-hosted models with OpenAI’s API in hybrid workflows, while maintaining compliance and cost-efficiency. This setup empowers users to leverage both self-managed open-source models and cloud-based AI services.
\n
Problem Statement
\n
As of February 2025, Ollama WebUI, still do not support Azure Open AI API. The Ollama Web UI only support self-hosted Ollama API and managed OpenAI API service (PaaS). This will be an issue if users want to use Open AI models they already deployed on Azure AI Foundry.
\n
Objective
\n
To integrate Azure OpenAI API via LiteLLM proxy into with Ollama Web UI. LiteLLM translates Azure AI API requests into OpenAI-style requests on Ollama Web UI allowing users to use OpenAI models deployed on Azure AI Foundry.
\n
\n
If you haven’t hosted Ollama WebUI already, follow my other step-by-step guide to host Ollama WebUI on Azure. Proceed to the next step if you have Ollama WebUI deployed already.
\n
Step 1: Deploy OpenAI models on Azure Foundry.
\n
If you haven’t created an Azure AI Hub already, search for Azure AI Foundry on Azure, and click on the “+ Create” button > Hub. Fill out all the empty fields with the appropriate configuration and click on “Create”.
\n
\n\n
\n
After the Azure AI Hub is successfully deployed, click on the deployed resources and launch the Azure AI Foundry service.
\n\n
\n
To deploy new models on Azure AI Foundry, find the “Models + Endpoints” section on the left hand side and click on “+ Deploy Model” button > “Deploy base model”
\n
\n\n
\n
A popup will appear, and you can choose which models to deploy on Azure AI Foundry. Please note that the o-series models are only available to select customers at the moment. You can request access to the o-series models by completing this request access form, and wait until Microsoft approves the access request.
\n\n
\n
Click on “Confirm” and another popup will emerge. Now name the deployment and click on “Deploy” to deploy the model.
\n\n
\n
Wait a few moments for the model to deploy. Once it successfully deployed, please save the “Target URI” and the API Key.
\n\n
Step 2: Deploy LiteLLM Proxy via Docker Container
\n
Before pulling the LiteLLM Image into the host environment, create a file named “litellm_config.yaml” and list down the models you deployed on Azure AI Foundry, along with the API endpoints and keys. Replace \"API_Endpoint\" and \"API_Key\" with “Target URI” and “Key” found from Azure AI Foundry respectively.
Make sure to run the docker command inside the directory where you created the “litellm_config.yaml” file just now. The port used to listen for LiteLLM Proxy traffic is port 4000.
\n
\n
Now that LiteLLM proxy had been deployed on port 4000, lets change the OpenAI API settings on Ollama WebUI. Navigate to Ollama WebUI’s Admin Panel settings > Settings > Connections > Under the OpenAI API section, write http://127.0.0.1:4000 as the API endpoint and set any key (You must write anything to make it work!). Click on “Save” button to reflect the changes.
\n\n
\n
Refresh the browser and you should be able to see the AI models deployed on the Azure AI Foundry listed in the Ollama WebUI.
\n\n
Now let’s test the chat completion + Web Search capability using the \"o1-mini\" model on Ollama WebUI.
\n\n
Conclusion
\n
Hosting Ollama WebUI on an Azure VM and integrating it with OpenAI’s API via LiteLLM offers a powerful, flexible approach to AI deployment, combining the cost-efficiency of open-source models with the advanced capabilities of managed cloud services. While Ollama itself doesn’t support Azure OpenAI endpoints, the hybrid architecture empowers IT teams to balance data privacy (via self-hosted models on Azure AI Foundry) and cutting-edge performance (using Azure OpenAI API), all within Azure’s scalable ecosystem.
\n
\n
This guide covers every step required to deploy your OpenAI models on Azure AI Foundry, set up the required resources, deploy LiteLLM Proxy on your host machine and configure Ollama WebUI to support Azure AI endpoints. You can test and improve your AI model even more with the Ollama WebUI interface with Web Search, Text-to-Image Generation, etc. all in one place.
","kudosSumWeight":1,"postTime":"2025-03-06T00:00:00.015-08:00","images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLUt6Q0xtRA?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLXRDc1R1Ug?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLWtBaXY0Zw?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLXBFc1BpNA?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDU","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLWo3TnMyaA?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDY","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLUh6RkFGSQ?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDc","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLTFoVks1Zw?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDg","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLTNUSVFEdg?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDk","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLVVQSUxoZA?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDEw","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLWlINjVhWQ?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDEx","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLXphWXRqQw?revision=1\"}"}}],"totalCount":11,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"attachments":{"__typename":"AttachmentConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[]},"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":true,"endCursor":"MjUuMXwyLjF8b3wxMHxfTlZffDEw","hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3wxMHxfTlZffDE","node":{"__typename":"Tag","id":"tag:AI Apps","text":"AI Apps","time":"2024-09-08T23:39:34.801-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3wxMHxfTlZffDI","node":{"__typename":"Tag","id":"tag:api","text":"api","time":"2016-07-25T07:40:50.169-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3wxMHxfTlZffDM","node":{"__typename":"Tag","id":"tag:API REST","text":"API REST","time":"2018-07-13T00:21:01.745-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3wxMHxfTlZffDQ","node":{"__typename":"Tag","id":"tag:azure","text":"azure","time":"2016-09-06T09:34:09.130-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3wxMHxfTlZffDU","node":{"__typename":"Tag","id":"tag:azure ai","text":"azure 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Studio","text":"Azure Machine Learning Studio","time":"2019-01-08T18:47:10.203-08:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3wxMHxfTlZffDEw","node":{"__typename":"Tag","id":"tag:azureml","text":"azureml","time":"2022-09-20T23:39:07.088-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":4,"rawTeaser":"","introduction":"Hello everyone, welcome to my latest blog post!\n\nMy name is Suzaril Shah and I am a Microsoft AI MVP and a Gold Microsoft Learn Student Ambassador from Malaysia.\n\nI am excited to share how you can Integrate Azure OpenAI API on Ollama Web UI using LiteLLM Proxy.","coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLUt6Q0xtRA?revision=1","width":4631,"height":3087},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""},"currentRevision":{"__ref":"Revision:revision:4386612_1"},"latestVersion":{"__typename":"FriendlyVersion","major":"1","minor":"0"},"metrics":{"__typename":"MessageMetrics","views":3553},"visibilityScope":"PUBLIC","canonicalUrl":null,"seoTitle":null,"seoDescription":null,"placeholder":false,"originalMessageForPlaceholder":null,"contributors":{"__typename":"UserConnection","edges":[]},"nonCoAuthorContributors":{"__typename":"UserConnection","edges":[]},"coAuthors":{"__typename":"UserConnection","edges":[]},"blogMessagePolicies":{"__typename":"BlogMessagePolicies","canDoAuthoringActionsOnBlog":{"__typename":"PolicyResult","failureReason":{"__typename":"FailureReason","message":"error.lithium.policies.blog.action_can_do_authoring_action.accessDenied","key":"error.lithium.policies.blog.action_can_do_authoring_action.accessDenied","args":[]}}},"archivalData":null,"customFields":[],"revisions({\"constraints\":{\"isPublished\":{\"eq\":true}},\"first\":1})":{"__typename":"RevisionConnection","totalCount":1},"body":"
Introductions
\n
Ollama WebUI is a streamlined interface for deploying and interacting with open-source large language models (LLMs) like Llama 3 and Mistral, enabling users to manage models, test them via a ChatGPT-like chat environment, and integrate them into applications through Ollama’s local API. While it excels for self-hosted models on platforms like Azure VMs, it does not natively support Azure OpenAI API endpoints—OpenAI’s proprietary models (e.g., GPT-4) remain accessible only through OpenAI’s managed API. However, tools like LiteLLM bridge this gap, allowing developers to combine Ollama-hosted models with OpenAI’s API in hybrid workflows, while maintaining compliance and cost-efficiency. This setup empowers users to leverage both self-managed open-source models and cloud-based AI services.
\n
Problem Statement
\n
As of February 2025, Ollama WebUI, still do not support Azure Open AI API. The Ollama Web UI only support self-hosted Ollama API and managed OpenAI API service (PaaS). This will be an issue if users want to use Open AI models they already deployed on Azure AI Foundry.
\n
Objective
\n
To integrate Azure OpenAI API via LiteLLM proxy into with Ollama Web UI. LiteLLM translates Azure AI API requests into OpenAI-style requests on Ollama Web UI allowing users to use OpenAI models deployed on Azure AI Foundry.
\n
\n
If you haven’t hosted Ollama WebUI already, follow my other step-by-step guide to host Ollama WebUI on Azure. Proceed to the next step if you have Ollama WebUI deployed already.
\n
Step 1: Deploy OpenAI models on Azure Foundry.
\n
If you haven’t created an Azure AI Hub already, search for Azure AI Foundry on Azure, and click on the “+ Create” button > Hub. Fill out all the empty fields with the appropriate configuration and click on “Create”.
\n
\n\n
\n
After the Azure AI Hub is successfully deployed, click on the deployed resources and launch the Azure AI Foundry service.
\n\n
\n
To deploy new models on Azure AI Foundry, find the “Models + Endpoints” section on the left hand side and click on “+ Deploy Model” button > “Deploy base model”
\n
\n\n
\n
A popup will appear, and you can choose which models to deploy on Azure AI Foundry. Please note that the o-series models are only available to select customers at the moment. You can request access to the o-series models by completing this request access form, and wait until Microsoft approves the access request.
\n\n
\n
Click on “Confirm” and another popup will emerge. Now name the deployment and click on “Deploy” to deploy the model.
\n\n
\n
Wait a few moments for the model to deploy. Once it successfully deployed, please save the “Target URI” and the API Key.
\n\n
Step 2: Deploy LiteLLM Proxy via Docker Container
\n
Before pulling the LiteLLM Image into the host environment, create a file named “litellm_config.yaml” and list down the models you deployed on Azure AI Foundry, along with the API endpoints and keys. Replace \"API_Endpoint\" and \"API_Key\" with “Target URI” and “Key” found from Azure AI Foundry respectively.
Make sure to run the docker command inside the directory where you created the “litellm_config.yaml” file just now. The port used to listen for LiteLLM Proxy traffic is port 4000.
\n
\n
Now that LiteLLM proxy had been deployed on port 4000, lets change the OpenAI API settings on Ollama WebUI. Navigate to Ollama WebUI’s Admin Panel settings > Settings > Connections > Under the OpenAI API section, write http://127.0.0.1:4000 as the API endpoint and set any key (You must write anything to make it work!). Click on “Save” button to reflect the changes.
\n\n
\n
Refresh the browser and you should be able to see the AI models deployed on the Azure AI Foundry listed in the Ollama WebUI.
\n\n
Now let’s test the chat completion + Web Search capability using the \"o1-mini\" model on Ollama WebUI.
\n\n
Conclusion
\n
Hosting Ollama WebUI on an Azure VM and integrating it with OpenAI’s API via LiteLLM offers a powerful, flexible approach to AI deployment, combining the cost-efficiency of open-source models with the advanced capabilities of managed cloud services. While Ollama itself doesn’t support Azure OpenAI endpoints, the hybrid architecture empowers IT teams to balance data privacy (via self-hosted models on Azure AI Foundry) and cutting-edge performance (using Azure OpenAI API), all within Azure’s scalable ecosystem.
\n
\n
This guide covers every step required to deploy your OpenAI models on Azure AI Foundry, set up the required resources, deploy LiteLLM Proxy on your host machine and configure Ollama WebUI to support Azure AI endpoints. You can test and improve your AI model even more with the Ollama WebUI interface with Web Search, Text-to-Image Generation, etc. all in one place.
"},"Conversation:conversation:4386612":{"__typename":"Conversation","id":"conversation:4386612","solved":false,"topic":{"__ref":"BlogTopicMessage:message:4386612"},"lastPostingActivityTime":"2025-03-21T14:56:20.816-07:00","lastPostTime":"2025-03-21T14:56:20.816-07:00","unreadReplyCount":2,"isSubscribed":false},"ModerationData:moderation_data:4386612":{"__typename":"ModerationData","id":"moderation_data:4386612","status":"APPROVED","rejectReason":null,"isReportedAbuse":false,"rejectUser":null,"rejectTime":null,"rejectActorType":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLUt6Q0xtRA?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLUt6Q0xtRA?revision=1","title":"url_upload.jpg","associationType":"COVER","width":4631,"height":3087,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLXRDc1R1Ug?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLXRDc1R1Ug?revision=1","title":"clipboard_image-1-1740642495810.png","associationType":"BODY","width":1726,"height":1914,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLWtBaXY0Zw?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLWtBaXY0Zw?revision=1","title":"clipboard_image-2-1740642495813.png","associationType":"BODY","width":1148,"height":358,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLXBFc1BpNA?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLXBFc1BpNA?revision=1","title":"clipboard_image-3-1740642495821.png","associationType":"BODY","width":2140,"height":1010,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLWo3TnMyaA?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLWo3TnMyaA?revision=1","title":"clipboard_image-4-1740642495832.png","associationType":"BODY","width":1686,"height":1452,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLUh6RkFGSQ?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLUh6RkFGSQ?revision=1","title":"clipboard_image-5-1740642495840.png","associationType":"BODY","width":1246,"height":1292,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLTFoVks1Zw?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLTFoVks1Zw?revision=1","title":"image.png","associationType":"BODY","width":911,"height":507,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLTNUSVFEdg?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLTNUSVFEdg?revision=1","title":"clipboard_image-6-1740642711334.png","associationType":"BODY","width":810,"height":1644,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLVVQSUxoZA?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLVVQSUxoZA?revision=1","title":"clipboard_image-7-1740643046806.png","associationType":"BODY","width":1210,"height":672,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLWlINjVhWQ?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLWlINjVhWQ?revision=1","title":"clipboard_image-8-1740643046816.png","associationType":"BODY","width":1686,"height":1232,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLXphWXRqQw?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mzg2NjEyLXphWXRqQw?revision=1","title":"image.png","associationType":"BODY","width":806,"height":718,"altText":""},"Revision:revision:4386612_1":{"__typename":"Revision","id":"revision:4386612_1","lastEditTime":"2025-03-06T00:00:00.015-08:00"},"BlogReplyMessage:message:4395449":{"__typename":"BlogReplyMessage","id":"message:4395449","conversation":{"__ref":"Conversation:conversation:4386612"},"author":{"__ref":"User:user:2962180"},"revisionNum":1,"uid":4395449,"depth":1,"hasGivenKudo":false,"subscribed":false,"board":{"__ref":"Blog:board:EducatorDeveloperBlog"},"subject":"Re: Step-by-step: Integrate Ollama Web UI to use Azure Open AI API with LiteLLM Proxy","readOnly":false,"editFrozen":false,"moderationData":{"__ref":"ModerationData:moderation_data:4395449"},"parent":{"__ref":"BlogTopicMessage:message:4386612"},"body":"
Hi, could you precise the yaml configuration to connect a Mistral Large Inference deployed on Azure AI ?
","body@stringLength":"111","rawBody":"
Hi, could you precise the yaml configuration to connect a Mistral Large Inference deployed on Azure AI ?
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