wehub-resource-sync
e071084ebe
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45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
"""Basic LlamaIndex agent example using Go Micro services.
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This example shows how to create a simple LlamaIndex agent that can
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interact with Go Micro services through the MCP gateway.
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"""
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from go_micro_llamaindex import GoMicroToolkit
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from llama_index.core.agent import ReActAgent
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from llama_index.llms.openai import OpenAI
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def main():
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"""Run basic agent example."""
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# Initialize toolkit from MCP gateway
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print("Connecting to MCP gateway...")
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toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")
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# Get available tools
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tools = toolkit.get_tools()
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print(f"\nDiscovered {len(tools)} tools:")
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for tool in tools:
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print(f" - {tool.metadata.name}: {tool.metadata.description}")
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# Create LlamaIndex ReAct agent
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print("\nCreating LlamaIndex agent...")
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llm = OpenAI(model="gpt-4", temperature=0)
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agent = ReActAgent.from_tools(tools, llm=llm, verbose=True)
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# Example queries
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queries = [
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"Create a user named Alice with email alice@example.com",
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"Get the user we just created",
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]
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for query in queries:
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print(f"\n{'='*60}")
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print(f"Query: {query}")
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print("=" * 60)
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response = agent.chat(query)
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print(f"\nResult: {response}")
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if __name__ == "__main__":
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main()
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