refactor local directory agent to two-phase LLM-with-tools architecture

Replace the single-pass FE-driven agent_run/agent_data flow with a
BE-orchestrated two-phase execution using LangChain tool-calling:
- Phase 1 (Triage): explores directory via new filesystem tools, matches
  files to existing projects using PROJECT_TOOLS
- Phase 2 (Processing): reads files and performs CRUD per project group
  with clean LLM context windows

Key changes:
- Add filesystem_agent.py with list_directory, read_file_content,
  get_file_metadata tools using execute_on_client()
- Move setup journey from REST to WebSocket (journey_start/message frames)
- Add batch_runs_per_day billing limit and enforce in /trigger
- Remove deprecated agent_data/agent_complete frame handlers and queues

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Roberto Musso
2026-03-17 08:50:46 +01:00
parent 5faa6b1d7c
commit 826f64d6bb
10 changed files with 801 additions and 569 deletions

View File

@@ -14,11 +14,11 @@ Protocol:
4. Session enters message dispatch loop + heartbeat.
Incoming frame dispatch:
- ``tool_result`` → resolves a pending tool-call Future.
- ``agent_data`` enqueued in the per-run agent data queue.
- ``agent_complete`` → sends None sentinel to close the queue stream.
- ``pong`` → heartbeat acknowledgement (updates last-seen).
- unknown types → logged, ignored.
- ``tool_result`` → resolves a pending tool-call Future.
- ``journey_start`` → starts a guided setup journey session.
- ``journey_message`` continues a journey conversation.
- ``pong`` → heartbeat acknowledgement (updates last-seen).
- unknown types → logged, ignored.
Outgoing heartbeat: ``{ "type": "ping" }`` every 30 s.
@@ -39,6 +39,7 @@ from fastapi import APIRouter, WebSocket, WebSocketDisconnect
from jose import JWTError, jwt
from sqlalchemy import update
from app.api.routes.agent_setup import handle_journey_message, handle_journey_start
from app.config.settings import settings
from app.core.agent_runner import trigger_pending_runs
from app.core.deep_agent import run_floating_stream, run_home_stream
@@ -147,37 +148,6 @@ async def _message_loop(websocket: WebSocket, user_id: str) -> None:
"device_ws: tool_result missing id from user=%s", user_id
)
elif frame_type == WsFrameType.agent_data:
run_id = frame.get("run_id")
if run_id:
try:
queue = device_manager.get_agent_data_queue(user_id, run_id)
await queue.put(frame)
except RuntimeError:
logger.warning(
"device_ws: agent_data for unknown run user=%s run=%s",
user_id,
run_id,
)
else:
logger.warning(
"device_ws: agent_data missing run_id from user=%s", user_id
)
elif frame_type == WsFrameType.agent_complete:
run_id = frame.get("run_id")
if run_id:
try:
queue = device_manager.get_agent_data_queue(user_id, run_id)
# Sentinel: signals the agent data stream is finished.
await queue.put(None)
except RuntimeError:
pass
else:
logger.warning(
"device_ws: agent_complete missing run_id from user=%s", user_id
)
elif frame_type == WsFrameType.home_request:
asyncio.create_task(
_handle_home_request(websocket, user_id, frame)
@@ -188,6 +158,16 @@ async def _message_loop(websocket: WebSocket, user_id: str) -> None:
_handle_floating_request(websocket, user_id, frame)
)
elif frame_type == WsFrameType.journey_start:
asyncio.create_task(
_handle_journey_start(websocket, user_id, frame)
)
elif frame_type == WsFrameType.journey_message:
asyncio.create_task(
_handle_journey_message(websocket, user_id, frame)
)
elif frame_type == "pong":
# Heartbeat ack — nothing to do, connection is alive.
pass
@@ -345,6 +325,63 @@ async def _handle_floating_request(
)
# ── v4 Journey Handlers ─────────────────────────────────────────────
async def _handle_journey_start(
websocket: WebSocket,
user_id: str,
frame: dict,
) -> None:
"""Handle a journey_start frame — explores directory and sends first question."""
executor = await _make_ws_executor(websocket, user_id)
set_client_executor(executor)
try:
reply = await handle_journey_start(user_id, frame)
await websocket.send_text(json.dumps(reply))
except Exception as exc:
logger.error(
"device_ws: journey_start failed user=%s: %s", user_id, exc
)
await websocket.send_text(json.dumps({
"type": "journey_reply",
"session_id": frame.get("session_id", ""),
"message": f"Failed to start journey: {exc}",
"done": True,
"prompt_template": None,
}))
finally:
clear_client_executor()
async def _handle_journey_message(
websocket: WebSocket,
user_id: str,
frame: dict,
) -> None:
"""Handle a journey_message frame — continues the journey conversation."""
executor = await _make_ws_executor(websocket, user_id)
set_client_executor(executor)
try:
reply = await handle_journey_message(user_id, frame)
await websocket.send_text(json.dumps(reply))
except Exception as exc:
session_id = frame.get("session_id", "")
logger.error(
"device_ws: journey_message failed user=%s session=%s: %s",
user_id, session_id, exc,
)
await websocket.send_text(json.dumps({
"type": "journey_reply",
"session_id": session_id,
"message": f"Journey error: {exc}",
"done": True,
"prompt_template": None,
}))
finally:
clear_client_executor()
# ── Heartbeat ─────────────────────────────────────────────────────────
async def _heartbeat_loop(websocket: WebSocket) -> None:
@@ -378,6 +415,3 @@ async def _mark_runs_disconnected(user_id: str) -> None:
user_id,
exc,
)