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

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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
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4
app/agents/__init__.py
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@@ -1,5 +1,5 @@
"""Expose tool modules used by deep orchestrator-worker graphs."""
from app.agents import timeline_agent, note_agent, project_agent, task_agent
from app.agents import filesystem_agent, timeline_agent, note_agent, project_agent, task_agent
__all__ = ["timeline_agent", "note_agent", "project_agent", "task_agent"]
__all__ = ["filesystem_agent", "timeline_agent", "note_agent", "project_agent", "task_agent"]