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Added documentation
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@@ -6,7 +6,7 @@ This example demonstrates how to build an advanced Solana agent using LangGraph
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- Multi-agent architecture using LangGraph's StateGraph
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- Specialized agents for different tasks:
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- General purpose agent for basic queries
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- General purpose agent for basic queries (with optional Tavily search integration)
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- Transfer/Swap agent for transaction operations
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- Read agent for blockchain data queries
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- Manager agent for routing and orchestration
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@@ -38,6 +38,7 @@ cp .env.example .env
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Edit the `.env` file with your configuration:
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- Add your OpenAI API key
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- Add your Tavily API key (optional, enables web search capabilities)
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- Configure any other required environment variables
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## Project Structure
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@@ -69,6 +70,7 @@ The example demonstrates a workflow where:
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## Dependencies
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- `@langchain/community`: LangChain community tools and utilities
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- Includes Tavily search integration for enhanced query responses
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- `@langchain/core`: Core LangChain functionality
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- `@langchain/langgraph`: Graph-based agent workflows
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- `solana-agent-kit`: Solana Agent Kit for blockchain interactions
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