docs: add MLflow AI Gateway cookbook example#7511
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PattaraS wants to merge 2 commits intomicrosoft:mainfrom
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docs: add MLflow AI Gateway cookbook example#7511PattaraS wants to merge 2 commits intomicrosoft:mainfrom
PattaraS wants to merge 2 commits intomicrosoft:mainfrom
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Adds a Jupyter notebook demonstrating how to use MLflow AI Gateway as an LLM backend for AutoGen agents via OpenAIChatCompletionClient with a custom base_url pointing to the gateway's OpenAI-compatible endpoint.
Add screenshots for endpoint creation, budget tracking, and usage tracing. Simplify prerequisites to UI-only setup with link to docs for advanced options.
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@microsoft-github-policy-service agree company="Databricks" |
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Summary
Adds a cookbook recipe showing how to use MLflow AI Gateway as an LLM backend for AutoGen agents.
Files added:
python/docs/src/user-guide/core-user-guide/cookbook/mlflow-gateway.ipynb— notebookpython/docs/src/user-guide/core-user-guide/cookbook/mlflow_gateway_images/— 5 screenshotscookbook/index.mdtoctreeWhat is MLflow AI Gateway?
MLflow AI Gateway is a database-backed LLM proxy built into the MLflow tracking server (MLflow ≥ 3.0). It exposes an OpenAI-compatible REST API routing to OpenAI, Anthropic, Gemini, Mistral, Bedrock, Ollama, and more — with encrypted secrets management, fallback/retry, traffic splitting, budget tracking, and built-in usage tracing. All configured through the MLflow UI.
Notebook Contents
OpenAIChatCompletionClientwith custombase_urlpointing to/gateway/openai/v1AssistantAgentandRoundRobinGroupChatAI Disclosure
This pull request was AI-assisted by Claude. All code and content was reviewed and validated by a human contributor. Screenshots were captured manually from a running MLflow server.