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211 lines
6.2 KiB
Python
Executable File
211 lines
6.2 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Auto-capture recent conversation exchanges into mem0.
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Runs in the background from UserPromptSubmit hook (every 3rd message).
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Reads the last few exchanges from the transcript, sends them to the
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mem0 API with infer=True so the platform extracts facts automatically.
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Input: env vars (MEM0_API_KEY, MEM0_RESOLVED_USER_ID, MEM0_PROJECT_ID, etc.)
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argv[1] = transcript_path
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Output: stderr logs only (exit 0 always — must not block)
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"""
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from __future__ import annotations
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import json
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import logging
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import os
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import sys
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import urllib.error
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import urllib.request
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from _identity import resolve_api_key, resolve_user_id
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from _project import resolve_branch, resolve_project_id
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log = logging.getLogger("mem0-auto-capture")
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log.setLevel(logging.DEBUG)
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_handler = logging.StreamHandler(sys.stderr)
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_handler.setFormatter(logging.Formatter("[mem0-auto-capture] %(message)s"))
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log.addHandler(_handler)
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if os.environ.get("MEM0_DEBUG"):
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_log_dir = os.path.expanduser("~/.mem0")
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try:
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os.makedirs(_log_dir, exist_ok=True)
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_fh = logging.FileHandler(os.path.join(_log_dir, "hooks.log"))
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_fh.setFormatter(logging.Formatter("[mem0-auto-capture] %(asctime)s %(message)s"))
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log.addHandler(_fh)
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except OSError:
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pass
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API_URL = "https://api.mem0.ai"
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TAIL_LINES = 200
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MAX_CONTENT_CHARS = 8000
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MIN_CONTENT_CHARS = 100
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def tail_lines(filepath: str, n: int) -> list[str]:
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try:
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with open(filepath, "rb") as f:
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f.seek(0, 2)
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file_size = f.tell()
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if file_size == 0:
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return []
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chunk_size = min(file_size, n * 4096)
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f.seek(max(0, file_size - chunk_size))
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data = f.read().decode("utf-8", errors="replace")
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return data.splitlines()[-n:]
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except OSError:
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return []
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def extract_recent_exchanges(lines: list[str], max_exchanges: int = 3) -> list[dict]:
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"""Extract the last N user+assistant message pairs from the transcript JSONL."""
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messages = []
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for line in lines:
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line = line.strip()
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if not line:
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continue
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try:
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entry = json.loads(line)
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except json.JSONDecodeError:
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continue
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if entry.get("isCompactSummary"):
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continue
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msg = entry.get("message", {})
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role = msg.get("role", "")
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if role not in ("user", "assistant"):
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continue
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content = msg.get("content", "")
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if isinstance(content, list):
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parts = []
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for block in content:
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if isinstance(block, str):
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parts.append(block)
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elif isinstance(block, dict) and block.get("type") == "text":
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parts.append(block.get("text", ""))
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content = "\n".join(parts).strip()
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if not content or len(content) < 20:
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continue
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# Skip tool-call-only assistant messages
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if role == "assistant" and content.startswith("{"):
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continue
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messages.append({"role": role, "content": content[:2000]})
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# Take last N exchanges (pairs of user+assistant)
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if not messages:
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return []
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result = messages[-(max_exchanges * 2):]
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return result
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def store_exchange(api_key: str, messages: list[dict], user_id: str,
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project_id: str, branch: str, session_id: str) -> bool:
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metadata = {
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"type": "auto_capture",
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"source": "auto_capture",
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"confidence": 0.7,
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}
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if branch:
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metadata["branch"] = branch
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if session_id:
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metadata["session_id"] = session_id
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body = {
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"messages": messages,
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"user_id": user_id,
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"app_id": project_id,
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"metadata": metadata,
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"infer": True,
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}
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data = json.dumps(body).encode("utf-8")
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req = urllib.request.Request(
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f"{API_URL}/v3/memories/add/",
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data=data,
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headers={
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"Content-Type": "application/json",
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"Authorization": f"Token {api_key}",
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},
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method="POST",
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)
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try:
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with urllib.request.urlopen(req, timeout=15) as resp:
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if resp.status in (200, 201):
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result = json.loads(resp.read())
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log.info("Auto-captured: event_id=%s status=%s",
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result.get("event_id", "?"), result.get("status", "?"))
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return True
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log.warning("API returned status %d", resp.status)
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return False
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except urllib.error.URLError as e:
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log.warning("API call failed: %s", e)
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return False
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def main():
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api_key = resolve_api_key()
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if not api_key:
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log.debug("MEM0_API_KEY not set, skipping")
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return
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if len(sys.argv) < 2:
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log.debug("No transcript_path argument")
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return
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transcript_path = sys.argv[1]
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if not transcript_path or not os.path.isfile(transcript_path):
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log.debug("Transcript not found: %s", transcript_path)
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return
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user_id = resolve_user_id()
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project_id = resolve_project_id()
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branch = resolve_branch()
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session_id = ""
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sid_file = f"/tmp/mem0_session_id_{os.environ.get('USER', 'default')}"
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if os.path.isfile(sid_file):
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try:
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with open(sid_file) as f:
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session_id = f.read().strip()
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except OSError:
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pass
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lines = tail_lines(transcript_path, TAIL_LINES)
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if not lines:
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log.debug("Transcript empty")
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return
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messages = extract_recent_exchanges(lines, max_exchanges=4)
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if not messages:
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log.debug("No substantial exchanges found")
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return
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total_chars = sum(len(m["content"]) for m in messages)
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if total_chars < MIN_CONTENT_CHARS:
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log.debug("Exchanges too short (%d chars), skipping", total_chars)
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return
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log.info("Auto-capturing %d messages (%d chars)", len(messages), total_chars)
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if store_exchange(api_key, messages, user_id, project_id, branch, session_id):
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try:
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import session_stats
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session_stats.record_add("auto_capture")
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except Exception:
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pass
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if __name__ == "__main__":
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try:
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main()
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except Exception as e:
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log.error("Unexpected error: %s", e)
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sys.exit(0)
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