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# Turn APIs, tools, and data into real agent velocity | DEM331

**[Microsoft Developer](https://daily.dev/sources/microsoftdeveloper)** · 21 min read · 0 upvotes · 0 comments

## Summary

A conference demo session (DEM331) showcasing Azure AI Content Understanding, a pipeline that converts messy multimodal content (PDFs, audio, video, images) into structured, agent-ready outputs. The demo walks through a telecom incident response scenario where an on-call engineer must correlate nine documents and media files. It covers pre-built analyzers (document search, audio, video), custom field extraction with schema definitions, automatic document classification and routing, and integration with the Microsoft Agent Framework. Key highlights include 85% token reduction via an LLM input formatter, multi-turn caching in the agent framework, and seamless integration with LangChain. All demo code and tutorial notebooks are available on GitHub.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=b23ZV37_9Hw>

---

Tags: [#python](https://daily.dev/tags/python), [#ai-agents](https://daily.dev/tags/ai-agents), [#multimodal](https://daily.dev/tags/multimodal), [#azure-ai](https://daily.dev/tags/azure-ai)

[View this post on daily.dev](https://daily.dev/posts/turn-apis-tools-and-data-into-real-agent-velocity-dem331-33uy36vcb)

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