main.py

# llm-proxy/main.py
"""
llm-proxy — OpenAI-compatible LLM privacy proxy.

Philosophy (inspired by Venice.ai): "You don't have to protect what you do not have."

Thin entry point — implementation lives in the proxy/ package:
  proxy/config.py       env parsing, privacy-mode defaults, hot config
  proxy/privacy.py      header stripping, synthetic UA, PII scrub
  proxy/providers.py    routing, model catalog, pricing, failover, forwarding
  proxy/logging_ring.py ring buffer + disk log
  proxy/handlers.py     route handlers, auth, rate limiting
  proxy/app.py          app factory + background tasks

See README.md for endpoints, privacy modes, and environment variables.
"""

import logging

from aiohttp import web

from proxy.app import make_app
from proxy.config import (DISK_LOG, LOG_LEVEL, PORT, PRIVACY_MODE,
                          PRIVACY_SCRUB, PREFER_VENICE, RATE_LIMIT_RPM,
                          RING_TTL)

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s [proxy] %(levelname)s %(message)s",
)
logger = logging.getLogger(__name__)


if __name__ == "__main__":
    logger.info(
        "[proxy] starting on port %d | mode=%s log=%s scrub=%s disk=%s ring_ttl=%ds rpm=%d prefer_venice=%s",
        PORT, PRIVACY_MODE(), LOG_LEVEL(), PRIVACY_SCRUB(), DISK_LOG(),
        RING_TTL(), RATE_LIMIT_RPM, PREFER_VENICE()
    )
    web.run_app(make_app(), port=PORT, host="0.0.0.0")