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Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent…
LangChain Python quickstart Follow the live docs — do not invent an alternate API from memory: https://docs.langchain.com/oss/python/langchain/quickstart Fetch that page (Docs MCP or HTTP) and implement what it shows (weather agent + create_agent). Local setup constraints Apply these on top of the quickstart (they keep setup minimal and model-agnostic): Ask which provider/model to use. Showcase that LangChain is model-agnostic. Suggested prompt: Which model should this agent use? Pass a provider:model string — e.g. openai:gpt-5.5, anthropic:claude-sonnet-5, google_genai:gemini-2.5-flash-lite. Default if you're unsure: anthropic:claude-sonnet-5. Swap the quickstart's model string for their choice (or the default). Create a new directory (e.g. langchain-agent/) and do all work there — do not pollute the open project.
don't have the plugin yet? install it then click "run inline in claude" again.