47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
import os
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import asyncio
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from langchain_openai import ChatOpenAI
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from langchain_core.messages import HumanMessage
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from deepagents import create_deep_agent
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from deepagents.backends import FilesystemBackend, LocalShellBackend, CompositeBackend
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# Configure the LLM using OpenRouter
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llm = ChatOpenAI(
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model="openai/gpt-oss-20b:free",
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base_url="https://openrouter.ai/api/v1",
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api_key=os.getenv("OPENAI_API_KEY"),
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temperature=0.2,
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)
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# Set up a composite backend for file and shell interactions (required by deepagents)
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backend = CompositeBackend([
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LocalShellBackend(workspace_dir="./workspace"),
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FilesystemBackend(),
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])
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# Create the deep agent with a clear system prompt that guides the generation of a 12‑week AI fluency plan
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agent = create_deep_agent(
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model=llm,
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tools=[],
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backend=backend,
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system_prompt=(
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"You are an experienced AI tutor. Your task is to craft a detailed 12‑week personal AI fluency plan "
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"for a learner who has completed the Ai Fluency course. The plan should include: 1) a weekly objective, "
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"2) recommended resources (books, articles, videos, exercises), and 3) an assessment method for each week. "
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"Present the plan in a clear, numbered format."
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),
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)
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async def main():
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# Invoke the agent to generate the plan
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result = await agent.ainvoke(
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{"messages": [HumanMessage(content="Generate my personal AI fluency plan.")]},
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{"configurable": {"thread_id": "ai-fluency-plan"}},
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)
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plan = result["messages"][-1].content
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print("\n=== Personal AI Fluency Plan ===\n")
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print(plan)
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if __name__ == "__main__":
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asyncio.run(main())
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