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ai-agents/langchain-agent/README.adoc

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:imagesdir: ../../docs/modules/ai-agents/images/
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This lab demonstrates how to build a Python agent using https://langchain-ai.github.io/langgraph/[LangGraph] that connects to the Redpanda AI Gateway for unified LLM access and MCP tool calling, with optional https://www.langchain.com/langsmith[LangSmith] tracing.
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This lab demonstrates how to build a Python agent using https://langchain-ai.github.io/langgraph/[LangGraph^] that connects to the Redpanda AI Gateway for unified LLM access and MCP tool calling, with optional https://www.langchain.com/langsmith[LangSmith^] tracing.
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After completing this lab, you will be able to:
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== Prerequisites
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* Python 3.12 or later
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* https://python-poetry.org/[Poetry] for dependency management
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* https://python-poetry.org/[Poetry^] for dependency management
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* A Redpanda Cloud account with:
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** A cluster that has the AI Gateway enabled
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** A service account with permissions to access the cluster
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* (Optional) A https://www.langchain.com/langsmith[LangSmith] API key for tracing
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* (Optional) A https://www.langchain.com/langsmith[LangSmith^] API key for tracing
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== Get the lab files
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REDPANDA_GATEWAY_URL=<your-gateway-url>
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You can find these values in the https://cloud.redpanda.com[Redpanda Cloud console].
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You can find these values in the https://cloud.redpanda.com[Redpanda Cloud console^].
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== Run the agent
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