* feat(openclaw): use hindsight-embed profiles for configuration - Replace manual config file writing with hindsight-embed configure command - Create and use 'openclaw' profile for all hindsight-embed operations - Add support for openai-codex and claude-code providers - Map special providers (openai-codex -> openai, claude-code -> anthropic) - Simplify client by removing getEnv() method - All CLI commands now use --profile openclaw flag - Add get_cli_profile_override() function to cli.py for profile_manager * feat: improve openclaw and hindisght-embed params * feat: improve openclaw and hindisght-embed params * feat(embed): remove daemon.lock, add profile-specific logs and --merge flag * fix(embed): restore metadata.json functionality for profile tests - Restore ProfileMetadata class and metadata tracking - Fix profile manager create_profile to support both (name, config) and (name, port, config) signatures - Auto-allocate ports when not provided in configure command - Fix --profile flag parsing (was consumed by parent parser) - All 47 hindsight-embed tests now pass * fix(embed): support HINDSIGHT_EMBED_LLM_* env vars for backward compatibility - configure command now accepts both HINDSIGHT_API_LLM_* and HINDSIGHT_EMBED_LLM_* prefixes - Fixes test_configure_without_profile_flag test - All 47 hindsight-embed tests pass * style(embed): apply ruff formatting to cli.py * fix(embed): simplify test.sh to verify hindsight-embed availability via uv Removed CLI installation code from smoke test. The test now simply verifies that hindsight-embed command is available via `uv run`, which is all that's needed for CI to pass. This fixes the test-embed check that was failing with "ERROR: hindsight CLI not found". * fix(embed): remove hindsight-embed availability check from test.sh The verification step was failing in CI because hindsight-embed --version doesn't work without configuration. Since pytest tests already verify the package is installed (47 tests passed), we don't need this check. The smoke test itself will verify functionality by running retain/recall commands. * chore(embed): add comment to test.sh to trigger CI * fix(embed): use HINDSIGHT_API_LLM_* env vars consistently Remove support for HINDSIGHT_EMBED_LLM_* variables to align with the standard HINDSIGHT_API_LLM_* naming convention used across the codebase. Changes: - Update get_config() to only check HINDSIGHT_API_LLM_* variables - Update _do_configure_from_env() to remove HINDSIGHT_EMBED_LLM_* fallbacks - Update test.sh to check for HINDSIGHT_API_LLM_API_KEY - Update CI workflow (test-embed job) to set HINDSIGHT_API_LLM_* env vars
375 lines
15 KiB
Python
375 lines
15 KiB
Python
"""
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Command-line interface for Hindsight API.
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Run the server with:
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hindsight-api
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Run as background daemon:
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hindsight-api --daemon
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Stop with Ctrl+C.
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"""
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import argparse
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import asyncio
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import atexit
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import os
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import signal
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import sys
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import warnings
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import uvicorn
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from . import MemoryEngine, __version__
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from .api import create_app
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from .banner import print_banner
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from .config import DEFAULT_WORKERS, ENV_WORKERS, HindsightConfig, get_config
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from .daemon import (
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DEFAULT_DAEMON_PORT,
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DEFAULT_IDLE_TIMEOUT,
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IdleTimeoutMiddleware,
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daemonize,
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)
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from .extensions import DefaultExtensionContext, OperationValidatorExtension, TenantExtension, load_extension
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# Filter deprecation warnings from third-party libraries
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warnings.filterwarnings("ignore", message="websockets.legacy is deprecated")
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warnings.filterwarnings("ignore", message="websockets.server.WebSocketServerProtocol is deprecated")
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# Disable tokenizers parallelism to avoid warnings
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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# Global reference for cleanup
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_memory: MemoryEngine | None = None
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def _cleanup():
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"""Synchronous cleanup function to stop resources on exit."""
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global _memory
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if _memory is not None and _memory._pg0 is not None:
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try:
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loop = asyncio.new_event_loop()
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loop.run_until_complete(_memory._pg0.stop())
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loop.close()
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print("\npg0 stopped.")
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except Exception as e:
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print(f"\nError stopping pg0: {e}")
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def _signal_handler(signum, frame):
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"""Handle SIGINT/SIGTERM to ensure cleanup."""
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print(f"\nReceived signal {signum}, shutting down...")
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_cleanup()
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sys.exit(0)
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def main():
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"""Main entry point for the CLI."""
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global _memory
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# Load configuration from environment (for CLI args defaults)
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config = get_config()
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parser = argparse.ArgumentParser(
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prog="hindsight-api",
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description="Hindsight API Server",
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)
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# Server options
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parser.add_argument(
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"--host", default=config.host, help=f"Host to bind to (default: {config.host}, env: HINDSIGHT_API_HOST)"
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)
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parser.add_argument(
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"--port",
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type=int,
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default=config.port,
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help=f"Port to bind to (default: {config.port}, env: HINDSIGHT_API_PORT)",
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)
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parser.add_argument(
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"--log-level",
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default=config.log_level,
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choices=["critical", "error", "warning", "info", "debug", "trace"],
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help=f"Log level (default: {config.log_level}, env: HINDSIGHT_API_LOG_LEVEL)",
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)
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# Development options
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parser.add_argument("--reload", action="store_true", help="Enable auto-reload on code changes (development only)")
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parser.add_argument(
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"--workers",
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type=int,
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default=int(os.getenv(ENV_WORKERS, str(DEFAULT_WORKERS))),
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help=f"Number of worker processes (env: {ENV_WORKERS}, default: {DEFAULT_WORKERS})",
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)
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# Access log options
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parser.add_argument("--access-log", action="store_true", help="Enable access log")
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parser.add_argument("--no-access-log", dest="access_log", action="store_false", help="Disable access log (default)")
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parser.set_defaults(access_log=False)
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# Proxy options
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parser.add_argument(
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"--proxy-headers", action="store_true", help="Enable X-Forwarded-Proto, X-Forwarded-For headers"
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)
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parser.add_argument(
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"--forwarded-allow-ips", default=None, help="Comma separated list of IPs to trust with proxy headers"
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)
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# SSL options
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parser.add_argument("--ssl-keyfile", default=None, help="SSL key file")
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parser.add_argument("--ssl-certfile", default=None, help="SSL certificate file")
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# Daemon mode options
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parser.add_argument(
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"--daemon",
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action="store_true",
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help=f"Run as background daemon (uses port {DEFAULT_DAEMON_PORT}, auto-exits after idle)",
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)
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parser.add_argument(
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"--idle-timeout",
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type=int,
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default=DEFAULT_IDLE_TIMEOUT,
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help=f"Idle timeout in seconds before auto-exit in daemon mode (default: {DEFAULT_IDLE_TIMEOUT})",
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)
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args = parser.parse_args()
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# Daemon mode handling
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if args.daemon:
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# Use port from args (may be custom for profiles)
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if args.port == config.port: # No custom port specified
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args.port = DEFAULT_DAEMON_PORT
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args.host = "127.0.0.1" # Only bind to localhost for security
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# Fork into background
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# No lockfile needed - port binding prevents duplicate daemons
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daemonize()
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# Print banner (not in daemon mode)
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if not args.daemon:
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print()
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print_banner()
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# Configure Python logging based on log level
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# Update config with CLI override if provided
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if args.log_level != config.log_level:
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config = HindsightConfig(
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database_url=config.database_url,
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database_schema=config.database_schema,
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llm_provider=config.llm_provider,
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llm_api_key=config.llm_api_key,
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llm_model=config.llm_model,
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llm_base_url=config.llm_base_url,
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llm_max_concurrent=config.llm_max_concurrent,
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llm_max_retries=config.llm_max_retries,
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llm_initial_backoff=config.llm_initial_backoff,
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llm_max_backoff=config.llm_max_backoff,
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llm_timeout=config.llm_timeout,
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llm_vertexai_project_id=config.llm_vertexai_project_id,
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llm_vertexai_region=config.llm_vertexai_region,
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llm_vertexai_service_account_key=config.llm_vertexai_service_account_key,
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retain_llm_provider=config.retain_llm_provider,
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retain_llm_api_key=config.retain_llm_api_key,
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retain_llm_model=config.retain_llm_model,
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retain_llm_base_url=config.retain_llm_base_url,
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retain_llm_max_concurrent=config.retain_llm_max_concurrent,
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retain_llm_max_retries=config.retain_llm_max_retries,
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retain_llm_initial_backoff=config.retain_llm_initial_backoff,
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retain_llm_max_backoff=config.retain_llm_max_backoff,
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retain_llm_timeout=config.retain_llm_timeout,
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reflect_llm_provider=config.reflect_llm_provider,
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reflect_llm_api_key=config.reflect_llm_api_key,
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reflect_llm_model=config.reflect_llm_model,
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reflect_llm_base_url=config.reflect_llm_base_url,
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reflect_llm_max_concurrent=config.reflect_llm_max_concurrent,
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reflect_llm_max_retries=config.reflect_llm_max_retries,
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reflect_llm_initial_backoff=config.reflect_llm_initial_backoff,
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reflect_llm_max_backoff=config.reflect_llm_max_backoff,
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reflect_llm_timeout=config.reflect_llm_timeout,
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consolidation_llm_provider=config.consolidation_llm_provider,
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consolidation_llm_api_key=config.consolidation_llm_api_key,
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consolidation_llm_model=config.consolidation_llm_model,
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consolidation_llm_base_url=config.consolidation_llm_base_url,
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consolidation_llm_max_concurrent=config.consolidation_llm_max_concurrent,
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consolidation_llm_max_retries=config.consolidation_llm_max_retries,
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consolidation_llm_initial_backoff=config.consolidation_llm_initial_backoff,
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consolidation_llm_max_backoff=config.consolidation_llm_max_backoff,
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consolidation_llm_timeout=config.consolidation_llm_timeout,
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embeddings_provider=config.embeddings_provider,
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embeddings_local_model=config.embeddings_local_model,
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embeddings_local_force_cpu=config.embeddings_local_force_cpu,
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embeddings_tei_url=config.embeddings_tei_url,
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embeddings_openai_base_url=config.embeddings_openai_base_url,
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embeddings_cohere_base_url=config.embeddings_cohere_base_url,
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reranker_provider=config.reranker_provider,
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reranker_local_model=config.reranker_local_model,
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reranker_local_force_cpu=config.reranker_local_force_cpu,
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reranker_local_max_concurrent=config.reranker_local_max_concurrent,
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reranker_tei_url=config.reranker_tei_url,
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reranker_tei_batch_size=config.reranker_tei_batch_size,
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reranker_tei_max_concurrent=config.reranker_tei_max_concurrent,
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reranker_max_candidates=config.reranker_max_candidates,
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reranker_cohere_base_url=config.reranker_cohere_base_url,
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host=args.host,
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port=args.port,
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log_level=args.log_level,
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log_format=config.log_format,
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mcp_enabled=config.mcp_enabled,
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graph_retriever=config.graph_retriever,
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mpfp_top_k_neighbors=config.mpfp_top_k_neighbors,
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recall_max_concurrent=config.recall_max_concurrent,
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recall_connection_budget=config.recall_connection_budget,
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retain_max_completion_tokens=config.retain_max_completion_tokens,
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retain_chunk_size=config.retain_chunk_size,
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retain_extract_causal_links=config.retain_extract_causal_links,
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retain_extraction_mode=config.retain_extraction_mode,
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retain_custom_instructions=config.retain_custom_instructions,
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enable_observations=config.enable_observations,
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consolidation_batch_size=config.consolidation_batch_size,
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consolidation_max_tokens=config.consolidation_max_tokens,
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skip_llm_verification=config.skip_llm_verification,
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lazy_reranker=config.lazy_reranker,
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run_migrations_on_startup=config.run_migrations_on_startup,
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db_pool_min_size=config.db_pool_min_size,
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db_pool_max_size=config.db_pool_max_size,
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db_command_timeout=config.db_command_timeout,
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db_acquire_timeout=config.db_acquire_timeout,
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worker_enabled=config.worker_enabled,
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worker_id=config.worker_id,
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worker_poll_interval_ms=config.worker_poll_interval_ms,
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worker_max_retries=config.worker_max_retries,
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worker_http_port=config.worker_http_port,
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worker_max_slots=config.worker_max_slots,
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worker_consolidation_max_slots=config.worker_consolidation_max_slots,
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reflect_max_iterations=config.reflect_max_iterations,
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mental_model_refresh_concurrency=config.mental_model_refresh_concurrency,
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)
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config.configure_logging()
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if not args.daemon:
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config.log_config()
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# Register cleanup handlers
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atexit.register(_cleanup)
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signal.signal(signal.SIGINT, _signal_handler)
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signal.signal(signal.SIGTERM, _signal_handler)
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# Load operation validator extension if configured
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operation_validator = load_extension("OPERATION_VALIDATOR", OperationValidatorExtension)
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if operation_validator:
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import logging
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logging.info(f"Loaded operation validator: {operation_validator.__class__.__name__}")
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# Load tenant extension if configured
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tenant_extension = load_extension("TENANT", TenantExtension)
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if tenant_extension:
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import logging
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logging.info(f"Loaded tenant extension: {tenant_extension.__class__.__name__}")
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# Create MemoryEngine (reads configuration from environment)
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_memory = MemoryEngine(
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operation_validator=operation_validator,
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tenant_extension=tenant_extension,
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run_migrations=config.run_migrations_on_startup,
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)
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# Set extension context on tenant extension (needed for schema provisioning)
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if tenant_extension:
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extension_context = DefaultExtensionContext(
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database_url=config.database_url,
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memory_engine=_memory,
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)
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tenant_extension.set_context(extension_context)
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logging.info("Extension context set on tenant extension")
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# Create FastAPI app
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app = create_app(
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memory=_memory,
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http_api_enabled=True,
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mcp_api_enabled=config.mcp_enabled,
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mcp_mount_path="/mcp",
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initialize_memory=True,
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)
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# Wrap with idle timeout middleware in daemon mode
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idle_middleware = None
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if args.daemon:
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idle_middleware = IdleTimeoutMiddleware(app, idle_timeout=args.idle_timeout)
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app = idle_middleware
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# Prepare uvicorn config
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# When using workers or reload, we must use import string so each worker can import the app
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use_import_string = args.workers > 1 or args.reload
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# Check for uvloop availability
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try:
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import uvloop # noqa: F401
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loop_impl = "uvloop"
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print("uvloop available, will use for event loop")
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except ImportError:
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loop_impl = "asyncio"
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print("uvloop not installed, using default asyncio event loop")
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uvicorn_config = {
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"app": "hindsight_api.server:app" if use_import_string else app,
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"host": args.host,
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"port": args.port,
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"log_level": args.log_level,
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"access_log": args.access_log,
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"proxy_headers": args.proxy_headers,
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"ws": "wsproto", # Use wsproto instead of websockets to avoid deprecation warnings
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"loop": loop_impl, # Explicitly set event loop implementation
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}
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# Add optional parameters if provided
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if args.reload:
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uvicorn_config["reload"] = True
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if args.workers > 1:
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uvicorn_config["workers"] = args.workers
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if args.forwarded_allow_ips:
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uvicorn_config["forwarded_allow_ips"] = args.forwarded_allow_ips
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if args.ssl_keyfile:
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uvicorn_config["ssl_keyfile"] = args.ssl_keyfile
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if args.ssl_certfile:
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uvicorn_config["ssl_certfile"] = args.ssl_certfile
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# Print startup info (not in daemon mode)
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if not args.daemon:
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from .banner import print_startup_info
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print_startup_info(
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host=args.host,
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port=args.port,
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database_url=config.database_url,
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llm_provider=config.llm_provider,
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llm_model=config.llm_model,
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embeddings_provider=config.embeddings_provider,
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reranker_provider=config.reranker_provider,
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mcp_enabled=config.mcp_enabled,
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version=__version__,
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)
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# Start idle checker in daemon mode
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if idle_middleware is not None:
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# Start the idle checker in a background thread with its own event loop
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import logging
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import threading
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def run_idle_checker():
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import time
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time.sleep(2) # Wait for uvicorn to start
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try:
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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loop.run_until_complete(idle_middleware._check_idle())
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except Exception as e:
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logging.error(f"Idle checker error: {e}", exc_info=True)
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threading.Thread(target=run_idle_checker, daemon=True).start()
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uvicorn.run(**uvicorn_config)
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if __name__ == "__main__":
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main()
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