40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
"""
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Agent definition using LangChain create_agent.
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"""
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import os
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from langchain_openai import ChatOpenAI
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from langchain.agents import create_agent
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from langchain_core.messages import HumanMessage
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from tools import search_knowledge_base, add_to_knowledge_base
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# LLM – Ollama via BroJS endpoint (placeholder)
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llm = ChatOpenAI(
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model="openai/gpt-oss-20b:free",
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base_url="https://platform.brojs.ru/jrnl-bh/api/inference/v1",
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api_key=os.getenv("JOURNAL_MCP_PAT"),
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temperature=0.5,
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)
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agent = create_agent(
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llm=llm,
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tools=[search_knowledge_base, add_to_knowledge_base],
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system_prompt="You are a helpful assistant with access to a knowledge base.",
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)
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async def main():
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# Simple demo: add and search
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await agent.ainvoke(
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{"messages": [HumanMessage(content="Add sample text about Python")]},
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{"configurable": {"thread_id": "demo-1"}},
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)
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result = await agent.ainvoke(
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{"messages": [HumanMessage(content="Search for Python")]},
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{"configurable": {"thread_id": "demo-1"}},
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)
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print(result["messages"][-1].content)
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if __name__ == "__main__": # pragma: no cover
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import asyncio
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asyncio.run(main())
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