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This is a sample project to help you get started with developing [LangGraph.js](https://github.com/langchain-ai/langgraphjs) projects in [LangGraph Studio](https://github.com/langchain-ai/langgraph-studio).
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It contains a simple example graph exported from `src/agent.ts` that implements a basic ReAct pattern where the model can use tools for more information before responding to a user query, as well as the required `langgraph.json` for opening the agent in LangGraph Studio.
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It contains a simple example graph exported from `src/agent.ts` that implements a basic ReAct pattern where the model can use tools for more information before responding to a user query, as well as the required `langgraph.json` for opening the graph in LangGraph Studio.
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## Getting Started
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3. Open the enclosing folder in LangGraph Studio.
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4. Start testing your app!
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While iterating on your app, you can edit past state and rerun your app from past states to debug specific nodes. Local changes will be automatically applied via hot reload. It also integrates with [LangSmith](https://smith.langchain.com/) for more in-depth tracing and collaboration with teammates.
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The graph has access to a basic Wikipedia tool which does not require additional authentication - you can try asking it about current events like `"What is the current conservation status of the Great Barrier Reef?"` and see it use the tool.
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You can swap in other models if you'd like by using [the proper LangChain.js integration package](https://js.langchain.com/v0.2/docs/integrations/chat/) or the appropriate SDK directly.
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## Development
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While iterating on your graph, you can edit past state and rerun your app from past states to debug specific nodes. Local changes will be automatically applied via hot reload. Try adding an interrupt before the agent calls tools, updating the prompt to take on a persona, or adding additional nodes and edges!
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LangGraph Studio also integrates with [LangSmith](https://smith.langchain.com/) for more in-depth tracing and collaboration with teammates.
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You can swap in other models if you'd like by using [the appropriate LangChain.js integration package](https://js.langchain.com/v0.2/docs/integrations/chat/) or the appropriate SDK directly.
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