feat(docker): add flexible LLM provider configuration
- Support LLM_PROVIDER env var to override default provider (openai/gpt-4o-mini) - Add optional 'provider' parameter to API endpoints for per-request overrides - Implement provider validation to ensure API keys exist - Update documentation and examples with new configuration options Closes the need to hardcode providers in config.yml
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@@ -1,6 +1,7 @@
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import dns.resolver
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import logging
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import yaml
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import os
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from datetime import datetime
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from enum import Enum
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from pathlib import Path
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@@ -19,10 +20,24 @@ class FilterType(str, Enum):
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LLM = "llm"
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def load_config() -> Dict:
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"""Load and return application configuration."""
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"""Load and return application configuration with environment variable overrides."""
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config_path = Path(__file__).parent / "config.yml"
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with open(config_path, "r") as config_file:
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return yaml.safe_load(config_file)
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config = yaml.safe_load(config_file)
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# Override LLM provider from environment if set
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llm_provider = os.environ.get("LLM_PROVIDER")
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if llm_provider:
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config["llm"]["provider"] = llm_provider
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logging.info(f"LLM provider overridden from environment: {llm_provider}")
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# Also support direct API key from environment if the provider-specific key isn't set
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llm_api_key = os.environ.get("LLM_API_KEY")
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if llm_api_key and "api_key" not in config["llm"]:
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config["llm"]["api_key"] = llm_api_key
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logging.info("LLM API key loaded from LLM_API_KEY environment variable")
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return config
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def setup_logging(config: Dict) -> None:
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"""Configure application logging."""
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@@ -56,6 +71,52 @@ def decode_redis_hash(hash_data: Dict[bytes, bytes]) -> Dict[str, str]:
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def get_llm_api_key(config: Dict, provider: Optional[str] = None) -> str:
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"""Get the appropriate API key based on the LLM provider.
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Args:
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config: The application configuration dictionary
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provider: Optional provider override (e.g., "openai/gpt-4")
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Returns:
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The API key for the provider, or empty string if not found
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"""
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# Use provided provider or fall back to config
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if not provider:
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provider = config["llm"]["provider"]
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# Check if direct API key is configured
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if "api_key" in config["llm"]:
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return config["llm"]["api_key"]
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# Fall back to the configured api_key_env if no match
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return os.environ.get(config["llm"].get("api_key_env", ""), "")
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def validate_llm_provider(config: Dict, provider: Optional[str] = None) -> tuple[bool, str]:
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"""Validate that the LLM provider has an associated API key.
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Args:
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config: The application configuration dictionary
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provider: Optional provider override (e.g., "openai/gpt-4")
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Returns:
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Tuple of (is_valid, error_message)
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"""
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# Use provided provider or fall back to config
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if not provider:
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provider = config["llm"]["provider"]
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# Get the API key for this provider
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api_key = get_llm_api_key(config, provider)
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if not api_key:
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return False, f"No API key found for provider '{provider}'. Please set the appropriate environment variable."
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return True, ""
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def verify_email_domain(email: str) -> bool:
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try:
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domain = email.split('@')[1]
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