fleet-memory/hindsight-integrations/claude-code/scripts/lib/daemon.py
Fabio Scarsi f4390bdc2e
feat: Add Claude Code integration plugin (#651)
* feat: Add Claude Code integration plugin

Complete port of hindsight-openclaw (v0.4.19) adapted to Claude Code's
hook-based plugin architecture. Pure Python stdlib, no external dependencies.

- Auto-recall via UserPromptSubmit hook (additionalContext injection)
- Auto-retain via async Stop hook (chunked retention with sliding window)
- Daemon management (auto-start/stop hindsight-embed via uvx)
- Dynamic bank IDs with per-agent/project/channel/user granularity
- All 34 configuration options with env var overrides
- File-based state persistence with fcntl locking
- Graceful degradation on all error paths

Works with Claude Code Channels (Telegram, Discord, Slack) and
interactive sessions.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: Set correct chunked retention defaults (10/2, not 1/0)

retainEveryNTurns=10 and retainOverlapTurns=2 are the production-tested
values — every 10 turns, retain a 12-turn sliding window. The previous
defaults (1/0) would retain every single turn with no overlap, defeating
the chunked retention design that prevents API bombardment.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: Align recallBudget and daemonIdleTimeout with Openclaw defaults

recallBudget: "low" → "mid" (Openclaw default)
daemonIdleTimeout: 300 → 0 (Openclaw default, never auto-stop)

As an official Hindsight integration, defaults should match Openclaw.
Users can optimize locally via settings.json or env vars.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-23 12:06:54 +01:00

272 lines
8.9 KiB
Python

"""Hindsight-embed daemon lifecycle management.
Port of: HindsightEmbedManager in embed-manager.js, adapted for Python
subprocess calls from ephemeral hook processes.
Manages three connection modes (same as Openclaw):
1. External API — user provides hindsightApiUrl (skip daemon entirely)
2. Existing local server — user already has hindsight running
3. Auto-managed daemon — plugin starts/stops hindsight-embed
In Claude Code's ephemeral model, daemon state is tracked via files in
$CLAUDE_PLUGIN_DATA/state/. The daemon itself is a background OS process
managed by hindsight-embed's built-in daemon command.
"""
import os
import platform
import subprocess
import time
import urllib.error
import urllib.request
from .llm import detect_llm_config, get_llm_env_vars
from .state import read_state, write_state
DAEMON_STATE_FILE = "daemon.json"
PROFILE_NAME = "claude-code"
def _get_embed_command(config: dict) -> list:
"""Get the command to run hindsight-embed.
Port of: getEmbedCommand() in embed-manager.js
"""
embed_path = config.get("embedPackagePath")
if embed_path:
return ["uv", "run", "--directory", embed_path, "hindsight-embed"]
version = config.get("embedVersion", "latest")
package = f"hindsight-embed@{version}" if version else "hindsight-embed@latest"
return ["uvx", package]
def _run_embed(config: dict, args: list, env: dict = None, timeout: int = 10) -> subprocess.CompletedProcess:
"""Run a hindsight-embed command and return the result."""
cmd = _get_embed_command(config) + args
run_env = dict(os.environ)
if env:
run_env.update(env)
return subprocess.run(
cmd,
capture_output=True,
text=True,
timeout=timeout,
env=run_env,
)
def _is_embed_available(config: dict) -> bool:
"""Quick check if hindsight-embed is available on PATH.
Avoids the slow uvx download path when the tool isn't installed.
"""
import shutil
embed_path = config.get("embedPackagePath")
if embed_path:
return os.path.isdir(embed_path)
# Check for uvx or hindsight-embed on PATH
return shutil.which("uvx") is not None or shutil.which("hindsight-embed") is not None
def _check_health(base_url: str, timeout: int = 2) -> bool:
"""Quick health check against a Hindsight server."""
try:
url = f"{base_url.rstrip('/')}/health"
req = urllib.request.Request(url, method="GET")
with urllib.request.urlopen(req, timeout=timeout) as resp:
return resp.status == 200
except Exception:
return False
def get_api_url(config: dict, debug_fn=None, allow_daemon_start: bool = False) -> str:
"""Determine the API URL, optionally starting daemon if needed.
Returns the API URL to use for recall/retain, handling all three modes.
Connection mode priority:
1. External API (hindsightApiUrl configured)
2. Existing local server (check port health)
3. Auto-managed daemon (only if allow_daemon_start=True)
The allow_daemon_start flag prevents the recall hook (10s timeout) from
blocking on a 30s daemon startup. Only the retain hook (async, 15s) should
attempt daemon start.
"""
# Mode 1: External API
external_url = config.get("hindsightApiUrl")
if external_url:
if debug_fn:
debug_fn(f"Using external API: {external_url}")
return external_url
# Mode 2 & 3: Local server
port = config.get("apiPort", 9077)
base_url = f"http://127.0.0.1:{port}"
# Check if something is already running on this port
if _check_health(base_url):
if debug_fn:
debug_fn(f"Existing server healthy on port {port}")
return base_url
# Mode 3: Auto-start daemon (only when allowed)
if not allow_daemon_start:
raise RuntimeError(
f"No Hindsight server on port {port}. Set hindsightApiUrl for external "
f"API, start hindsight-embed manually, or wait for the retain hook to "
f"auto-start the daemon."
)
if debug_fn:
debug_fn(f"No server on port {port}, attempting daemon start")
try:
_ensure_daemon_running(config, port, debug_fn)
except Exception as e:
if debug_fn:
debug_fn(f"Daemon start failed: {e}")
raise RuntimeError(
"No Hindsight server available. Set hindsightApiUrl for external API, "
"or ensure hindsight-embed is installed for local daemon mode."
) from e
return base_url
def _ensure_daemon_running(config: dict, port: int, debug_fn=None):
"""Start the hindsight-embed daemon if not already running.
Port of: HindsightEmbedManager.start() in embed-manager.js
"""
# Fast-fail if hindsight-embed toolchain is not available
if not _is_embed_available(config):
raise RuntimeError(
"hindsight-embed not found (uvx not on PATH). "
"Install with: pip install hindsight-embed, or set hindsightApiUrl."
)
base_url = f"http://127.0.0.1:{port}"
# Detect LLM config (needed for daemon's fact extraction)
try:
llm_config = detect_llm_config(config)
except RuntimeError as e:
raise RuntimeError(f"Cannot start daemon: {e}") from e
llm_env = get_llm_env_vars(llm_config)
# Build daemon environment
daemon_env = dict(llm_env)
idle_timeout = config.get("daemonIdleTimeout", 300)
daemon_env["HINDSIGHT_EMBED_DAEMON_IDLE_TIMEOUT"] = str(idle_timeout)
# On macOS, force CPU for embeddings/reranker (mirrors Openclaw)
if platform.system() == "Darwin":
daemon_env["HINDSIGHT_API_EMBEDDINGS_LOCAL_FORCE_CPU"] = "1"
daemon_env["HINDSIGHT_API_RERANKER_LOCAL_FORCE_CPU"] = "1"
# Step 1: Configure profile
if debug_fn:
debug_fn(f'Configuring "{PROFILE_NAME}" profile...')
profile_args = [
"profile",
"create",
PROFILE_NAME,
"--merge",
"--port",
str(port),
]
for env_name, env_val in daemon_env.items():
if env_val:
profile_args.extend(["--env", f"{env_name}={env_val}"])
try:
result = _run_embed(config, profile_args, daemon_env, timeout=10)
if result.returncode != 0:
if debug_fn:
debug_fn(f"Profile create stderr: {result.stderr.strip()}")
raise RuntimeError(f"Profile create failed (exit {result.returncode}): {result.stderr}")
if debug_fn:
debug_fn("Profile configured")
except subprocess.TimeoutExpired:
raise RuntimeError("Profile create timed out")
except FileNotFoundError:
raise RuntimeError(
"hindsight-embed not found. Install with: pip install hindsight-embed "
"or set hindsightApiUrl for external API mode."
)
# Step 2: Start daemon
if debug_fn:
debug_fn("Starting daemon...")
try:
result = _run_embed(
config,
["daemon", "--profile", PROFILE_NAME, "start"],
daemon_env,
timeout=10,
)
if debug_fn:
debug_fn(f"Daemon start exit={result.returncode} stdout={result.stdout.strip()}")
if result.returncode != 0 and "already running" not in result.stderr.lower():
raise RuntimeError(f"Daemon start failed (exit {result.returncode}): {result.stderr}")
except subprocess.TimeoutExpired:
raise RuntimeError("Daemon start timed out")
# Step 3: Wait for ready (poll health endpoint)
if debug_fn:
debug_fn("Waiting for daemon to be ready...")
for attempt in range(30):
if _check_health(base_url):
if debug_fn:
debug_fn(f"Daemon ready after {attempt + 1} attempts")
# Track that we started this daemon
write_state(
DAEMON_STATE_FILE,
{
"port": port,
"started_by_plugin": True,
"started_at": time.time(),
"pid": os.getpid(),
},
)
return
time.sleep(1)
raise RuntimeError("Daemon failed to become ready within 30 seconds")
def stop_daemon(config: dict, debug_fn=None):
"""Stop the daemon if it was started by this plugin.
Called during cleanup. Only stops if we started it (tracked in state).
"""
state = read_state(DAEMON_STATE_FILE)
if not state or not state.get("started_by_plugin"):
if debug_fn:
debug_fn("Daemon not started by plugin, skipping stop")
return
if debug_fn:
debug_fn("Stopping daemon...")
try:
result = _run_embed(
config,
["daemon", "--profile", PROFILE_NAME, "stop"],
timeout=10,
)
if debug_fn:
debug_fn(f"Daemon stop: {result.stdout.strip()}")
except Exception as e:
if debug_fn:
debug_fn(f"Daemon stop error: {e}")
# Clear state
write_state(DAEMON_STATE_FILE, {})