wehub-resource-sync
33 lines
1.3 KiB
Python
33 lines
1.3 KiB
Python
"""LangGraph agent backing the Frontend Tools (Async) demo.
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This cell demonstrates `useFrontendTool` with an ASYNC handler. The
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frontend registers a `query_notes` tool whose handler awaits a simulated
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client-side DB query (500ms latency) and returns matching notes. The
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agent uses the returned result to summarize what it found.
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Like the sibling `frontend_tools` cell, the backend graph registers no
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tools of its own — CopilotKit forwards the frontend tool schema(s) to
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the agent at runtime, and the handler executes in the browser.
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"""
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from langchain.agents import create_agent
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from langchain_openai import ChatOpenAI
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from copilotkit import CopilotKitMiddleware
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SYSTEM_PROMPT = (
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"You are a helpful assistant that can search the user's personal notes. "
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"When the user asks about their notes, call the `query_notes` tool with "
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"a concise keyword extracted from their request. The tool is provided "
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"by the frontend at runtime and runs entirely in the user's browser — "
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"you do not need to implement it yourself. After the tool returns, "
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"summarize the matching notes clearly and concisely. If no notes match, "
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"say so plainly and offer to try a different keyword."
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)
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graph = create_agent(
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model=ChatOpenAI(model="gpt-5.4"),
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tools=[],
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middleware=[CopilotKitMiddleware()],
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system_prompt=SYSTEM_PROMPT,
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)
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