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https://github.com/zhayujie/chatgpt-on-wechat.git
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ba777ed706
Add a self-evolution subsystem that reviews idle conversations in an isolated agent and durably learns from them — patching/creating skills, finishing unfinished tasks, and backfilling missed memory. - Trigger: background idle scan, fires when a session is idle >= N min AND (>= N turns OR context usage > 80%). In-memory cursor reviews only new messages so a session never re-learns old content. - Isolated review agent: same model, restricted toolset, hard write-guard confining edits to the workspace (built-in skills are protected). - Safety: file-level backup before edits + evolution_undo tool; notify the user ONLY when a workspace file actually changed (no-nag rule); capped concurrency. - Records to memory/evolution/<date>.md, surfaced in the memory UI's renamed "Self-Evolution" tab (merged with dream diaries). - Hide internal [SCHEDULED]/[EVOLUTION]/backup_id markers from chat history display (also fixes scheduler marker leakage) while keeping them in stored content for undo. - Flat config: self_evolution_enabled (default off until release), self_evolution_idle_minutes (15), self_evolution_min_turns (6). - Tests: tests/test_evolution.py (stub + real model modes, 7 scenarios).
56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
"""Self-evolution record log.
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Session-level evolutions are appended to their OWN per-day file under
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``memory/evolution/YYYY-MM-DD.md`` (separate from the nightly Deep Dream diary
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in ``memory/dreams/``). Each day's file accumulates one short section per
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evolution pass — tagged with a timestamp and a backup id for undo — so the
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memory UI can surface "what the agent learned/changed today" on one timeline
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without ever mixing into the dream diary or the main conversation memory.
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"""
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from __future__ import annotations
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from datetime import datetime
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from pathlib import Path
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from typing import Optional
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from common.log import logger
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def _evolution_dir(workspace_dir: Path, user_id: Optional[str] = None) -> Path:
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base = Path(workspace_dir) / "memory"
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if user_id:
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return base / "users" / user_id / "evolution"
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return base / "evolution"
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def append_session_evolution(
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workspace_dir: Path,
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summary: str,
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backup_id: Optional[str] = None,
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user_id: Optional[str] = None,
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) -> None:
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"""Append a session-evolution entry to today's evolution log."""
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if not summary or not summary.strip():
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return
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try:
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evo_dir = _evolution_dir(workspace_dir, user_id)
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evo_dir.mkdir(parents=True, exist_ok=True)
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today = datetime.now().strftime("%Y-%m-%d")
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log_file = evo_dir / f"{today}.md"
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ts = datetime.now().strftime("%H:%M")
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header = f"## {ts}"
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body = summary.strip()
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if backup_id:
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body += f"\n\n_backup_id: {backup_id}_"
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# Create with a title if the file is new, otherwise append a section.
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if not log_file.exists():
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log_file.write_text(f"# Self-Evolution: {today}\n\n", encoding="utf-8")
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with open(log_file, "a", encoding="utf-8") as f:
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f.write(f"\n{header}\n\n{body}\n")
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logger.info(f"[Evolution] Recorded session evolution to {log_file.name}")
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except Exception as e:
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logger.warning(f"[Evolution] Failed to record session evolution: {e}")
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