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In this three-part series, we're showing you how to host your own agents on Microsoft Foundry. In our second session, we'll deploy agents built with the popular open-source libraries LangChain and LangGraph. Starting with a simple agent, we'll add Foundry tools like Bing Web Search, ground the agent in Foundry IQ, then deploy more complex agents using the LangGraph orchestration framework. Along the way, we'll use the Foundry UI to interact with the hosted agent, testing it out in the playground and observing the traces from the reasoning and tool calls. All code samples will be open-source and ready for easy deployment to your own Microsoft Foundry using the Azure Developer CLI. After the stream, join office hours in the Microsoft Foundry Discord (http://aka.ms/aipython/oh) to ask follow-up questions. Recommended resources: If you are brand new to generative AI with Python, start with our 9-part Python + AI series (https://techcommunity.microsoft.com/blog/educatordeveloperblog/level-up-your-python--ai-skills-with-our-complete-series/4464546), which covers LLMs, embedding models, RAG, tool calling, MCP, and more. If you are new to LangChain, check out our LangChain for Beginners (https://github.com/microsoft/langchain-for-beginners) course. š This event is a part of a series, learn more here: https://aka.ms/AgentsOnFoundry/series #microsoftreactor #learnconnectbuild [eventID:26933]