Function build_llm_provider

paperflow/providers/llm.py:375–401

Construct the configured LLM provider, falling back to mock on missing credentials.

(config: Optional[ProviderConfig] = None)

def build_llm_provider(config: Optional[ProviderConfig] = None) -> LLMProvider:
    """Construct the configured LLM provider, falling back to mock on missing credentials."""

    cfg = config or load_provider_config()

    if cfg.llm_provider == "openai":
        api_key = os.environ.get("OPENAI_API_KEY", "")
        if _is_placeholder(api_key):
            return MockLLM()
        base_url = os.environ.get("OPENAI_BASE_URL") or None
        timeout = float(os.environ.get("OPENAI_API_TIMEOUT", "60") or 60)
        return OpenAILLM(model=cfg.llm_model, api_key=api_key, base_url=base_url, timeout=timeout)

    if cfg.llm_provider == "anthropic":
        api_key = os.environ.get("ANTHROPIC_API_KEY", "")
        if _is_placeholder(api_key):
            return MockLLM()
        base_url = os.environ.get("ANTHROPIC_BASE_URL") or None
        timeout = float(os.environ.get("ANTHROPIC_API_TIMEOUT", "60") or 60)
        return AnthropicLLM(model=cfg.llm_model, api_key=api_key, base_url=base_url, timeout=timeout)

    if cfg.llm_provider == "ollama":
        base_url = os.environ.get("OLLAMA_BASE_URL", "http://localhost:11434")
        timeout = float(os.environ.get("OLLAMA_API_TIMEOUT", "120") or 120)
        return OllamaLLM(model=cfg.llm_model, base_url=base_url, timeout=timeout)

    return MockLLM(model=cfg.llm_model)


__all__ = [