Files
SPARC/SPARC/config.py
T
agent-company b000146585 feat: configurable LLM model, SERP cache TTL, structured logging, fix patent_id type
- Make LLM model configurable via MODEL env var, default anthropic/claude-3.5-sonnet (#12)
- Expose SERP cache TTL as SERP_CACHE_TTL_HOURS env var, default 24 hours (#13)
- Fix Patent.patent_id type annotation from int to str in types.py (#14)
- Replace all print() calls with structured logging in analyzer.py and llm.py (#11)
- Add LOG_LEVEL config with basicConfig setup in config.py
- Add model and serp_cache_ttl_hours to config.py

Closes leeworks-agents/SPARC#11
Closes leeworks-agents/SPARC#12
Closes leeworks-agents/SPARC#13
Closes leeworks-agents/SPARC#14

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-26 06:03:25 +00:00

64 lines
2.4 KiB
Python

"""Configuration and secrets management.
Loads environment variables from .env file for API keys and other secrets.
"""
import logging
import os
from dotenv import load_dotenv
load_dotenv()
# Logging configuration
log_level = os.getenv("LOG_LEVEL", "INFO").upper()
logging.basicConfig(
level=getattr(logging, log_level, logging.INFO),
format="%(asctime)s %(levelname)s %(name)s %(message)s",
)
# SerpAPI key for patent search
api_key = os.getenv("API_KEY")
# OpenRouter API key for LLM analysis
openrouter_api_key = os.getenv("OPENROUTER_API_KEY")
# Database configuration - all messages are stored in the database
# The database serves as both a persistent store and a cache layer
database_url = os.getenv("DATABASE_URL", "postgresql://postgres:postgres@localhost:5432/sparc")
# Cache configuration
# When enabled (default), the system checks the database for cached responses
# before making API calls, saving tokens and reducing latency
use_cache = os.getenv("USE_CACHE", "true").lower() in ("true", "1", "yes")
# Legacy compatibility - USE_DATABASE is deprecated, database is always used
# This variable is kept for backwards compatibility but has no effect
use_database = os.getenv("USE_DATABASE", "false").lower() in ("true", "1", "yes")
# Patent search configuration
patent_search_days = int(os.getenv("PATENT_SEARCH_DAYS", "90"))
patent_thread_workers = int(os.getenv("PATENT_THREAD_WORKERS", "5"))
# LLM model to use via OpenRouter (e.g. "anthropic/claude-3.5-sonnet", "openai/gpt-4o")
model = os.getenv("MODEL", "anthropic/claude-3.5-sonnet")
# SERP cache TTL in hours (how long cached search results are considered fresh)
serp_cache_ttl_hours = int(os.getenv("SERP_CACHE_TTL_HOURS", "24"))
# Root path for running behind a reverse proxy (e.g., "/api" when served at /api/)
# This ensures OpenAPI docs work correctly when accessed via the proxy
root_path = os.getenv("ROOT_PATH", "")
# Application environment: "development", "staging", or "production"
# Used for safety checks (e.g., refusing default JWT secret in production)
app_env = os.getenv("APP_ENV", "development")
# CORS allowed origins (comma-separated)
# Defaults to localhost dev origins when unset
_cors_origins_raw = os.getenv("CORS_ORIGINS", "")
cors_origins: list[str] = (
[o.strip() for o in _cors_origins_raw.split(",") if o.strip()]
if _cors_origins_raw
else ["http://localhost:3000", "http://localhost:5173"]
)