feat: migrate chat orchestration to deep langgraph workers
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@@ -2,17 +2,14 @@
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from __future__ import annotations
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import json
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from typing import Any
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from langchain_core.messages import HumanMessage, SystemMessage
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from langchain_core.tools import tool
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from app.core.agent_registry import ChatAgent, registry
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from app.core.llm import embed, get_llm
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from app.core.llm import embed
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from app.core.ws_context import execute_on_client
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_SYSTEM_PROMPT = (
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NOTE_SYSTEM_PROMPT = (
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"You are a note-taking assistant. You help users create, retrieve, update,\n"
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"and delete Markdown notes in their workspace.\n\n"
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"Rules:\n"
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@@ -122,23 +119,10 @@ async def delete_note(note_id: str) -> str:
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return f"Note {note_id} deleted."
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@registry.register
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class NoteAgent(ChatAgent):
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def get_name(self) -> str:
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return "note_agent"
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def get_description(self) -> str:
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return "Manages notes: list, get, create, update, delete"
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def get_tools(self) -> list[Any]:
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return [list_notes, get_note, create_note, update_note, delete_note]
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async def handle(self, query: str, context: dict[str, Any]) -> str:
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llm = get_llm()
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messages = [
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SystemMessage(content=_SYSTEM_PROMPT),
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HumanMessage(
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content=f"User query: {query}\nContext: {json.dumps(context)[:1000]}"
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),
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]
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return await self._tool_loop(llm, messages, self.get_tools())
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NOTE_TOOLS: list[Any] = [
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list_notes,
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get_note,
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create_note,
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update_note,
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delete_note,
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]
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