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This template showcases a [ReAct agent](https://arxiv.org/abs/2210.03629) implemented using [LangGraph](https://github.com/langchain-ai/langgraph), designed for [LangGraph Studio](https://github.com/langchain-ai/langgraph-studio). ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools.
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This template showcases a [ReAct agent](https://arxiv.org/abs/2210.03629) implemented using [LangGraph](https://github.com/langchain-ai/langgraph), works seamlessly with [LangGraph Studio](https://docs.langchain.com/langgraph-platform/quick-start-studio#use-langgraph-studio). ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools.
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-**Caching**: Optimized performance with client and tools caching
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-**Configurable**: Enable via environment variables or context parameters
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### LangGraph v0.6.6 Features
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> [!NOTE]
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> **New in LangGraph v0.6**: [LangGraph Context](https://docs.langchain.com/oss/python/context#context-overview) replaces the traditional `config['configurable']` pattern. Runtime context is now passed to the `context` argument of `invoke/stream`, providing a cleaner and more intuitive way to configure your agents.
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-**Context-Driven Configuration**: Runtime context passed via `context` parameter instead of `config['configurable']`
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-**Simplified API**: Cleaner interface for passing runtime configuration to your agents
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-**Backward Compatibility**: Gradual migration path from the old configuration pattern
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### Comprehensive Testing
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-**70+ Test Cases**: Unit, integration, and end-to-end testing
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-**MCP Integration Coverage**: Full testing of DeepWiki tool loading and execution
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The agent comes with web search capabilities and optional DeepWiki MCP documentation tools, but can be easily extended with custom tools to suit various use cases.
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### Sample Execution Traces
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See these LangSmith traces to understand how the agent works in practice:
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-**[DeepWiki Documentation Query](https://smith.langchain.com/public/d0594549-7363-46a7-b1a2-d85b55aaa2bd/r)** - Shows agent using DeepWiki MCP tools to query GitHub repository documentation
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-**[Web Search Query](https://smith.langchain.com/public/6ce92fd2-c0e4-409b-9ce2-02499ae16800/r)** - Demonstrates Tavily web search integration and reasoning loop
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