roberto
cfc9d7a942
- Add app/core/deep_agent.py with Home and Floating supervisor graphs using LangGraph create_react_agent (hierarchical pattern) - Strip ChatAgent classes from all 4 agent files, keep @tool functions - Rewrite output_formatter.py for event-based (token/tool_end/mutations) stream - Update device_ws.py to use run_home_stream/run_floating_stream - Rewrite chat.py REST route to use run_home - Add update_core_memory tool to both supervisors - Add langgraph>=0.3.0 to requirements.txt - Remove orchestrator.py, execution_plan.py, agent_registry.py, plans.py - Remove PlanAction, PlanStep, ExecutionPlan, execution_mode from schemas - Update all affected tests to match new API - Remove 6 deprecated test files for deleted modules - Clean up stale docstrings referencing removed orchestrator
109 lines
3.0 KiB
Python
109 lines
3.0 KiB
Python
"""Note agent — tool definitions for Markdown note CRUD."""
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from __future__ import annotations
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from typing import Any
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from langchain_core.tools import tool
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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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@tool
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async def list_notes(project_id: str = "") -> str:
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"""List notes, optionally scoped to a project by project_id."""
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result = await execute_on_client(
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action="select",
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table="notes",
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filters={"projectId": project_id or None},
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)
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rows = result.get("rows", [])
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if not rows:
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return "No notes found."
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lines = [f"- {r['title']} (id: {r['id']})" for r in rows]
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return f"Found {len(rows)} note(s):\n" + "\n".join(lines)
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@tool
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async def get_note(note_id: str) -> str:
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"""Fetch a single note by its UUID to read its full Markdown content."""
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result = await execute_on_client(action="get", table="notes", data={"id": note_id})
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row = result.get("row")
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if not row:
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return f"Note {note_id} not found."
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return f"Note '{row['title']}' (id: {row['id']}):\n\n{row['content']}"
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@tool
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async def create_note(
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title: str,
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content: str,
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project_id: str = "",
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) -> str:
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"""Create a new note.
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title: note heading (required)
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content: Markdown body text (required)
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project_id: optional UUID linking this note to a project
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"""
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result = await execute_on_client(
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action="insert",
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table="notes",
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data={
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"title": title,
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"content": content,
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"projectId": project_id or None,
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},
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)
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row = result["row"]
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# Index the note content in the vector store.
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vector = await embed(content)
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await execute_on_client(
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action="vector_upsert",
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data={"id": row["id"], "projectId": row.get("projectId"), "content": content},
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vector=vector,
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)
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return f"Note created: '{row['title']}' (id: {row['id']})."
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@tool
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async def update_note(
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note_id: str,
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title: str = "",
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content: str = "",
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) -> str:
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"""Update an existing note. Only pass fields that should change.
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note_id: UUID of the note (required)
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If you need to preserve existing content, call get_note first.
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"""
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updates: dict[str, Any] = {}
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if title:
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updates["title"] = title
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if content:
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updates["content"] = content
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result = await execute_on_client(
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action="update",
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table="notes",
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data={"id": note_id, "updates": updates},
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)
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row = result["row"]
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# Re-index if content changed.
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if content:
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vector = await embed(content)
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await execute_on_client(
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action="vector_upsert",
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data={"id": note_id, "projectId": row.get("projectId"), "content": content},
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vector=vector,
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)
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return f"Note updated: '{row['title']}' (id: {row['id']})."
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@tool
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async def delete_note(note_id: str) -> str:
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"""Delete a note permanently by its UUID."""
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await execute_on_client(action="delete", table="notes", data={"id": note_id})
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return f"Note {note_id} deleted."
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