tegwick
7cd633986e
Assistant: codex Assistant-Model: gpt-6-astra Assistant-Session: 01a0e332-3365-77c0-8491-084e9ea33ac1
68 lines
2.4 KiB
Python
68 lines
2.4 KiB
Python
"""
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Factory for creating LLM adapters by provider name.
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"""
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import os
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from collections.abc import Callable
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from typing import Any
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from llm_connect.adapter import LLMAdapter
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from llm_connect.exceptions import LLMConfigurationError
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# Lazy imports to avoid pulling in every adapter at module load time.
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_PROVIDERS: dict[str, str] = {
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"openrouter": "llm_connect.openrouter.OpenRouterAdapter",
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"claude-code": "llm_connect.claude_code.ClaudeCodeAdapter",
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"gemini": "llm_connect.gemini.GeminiAdapter",
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"openai": "llm_connect.openai.OpenAIAdapter",
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"mock": "llm_connect.adapter.MockLLMAdapter",
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}
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def create_adapter(
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provider: str = "openrouter",
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model: str | None = None,
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api_key: str | None = None,
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system_prompt: str | None = None,
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**kwargs: Any,
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) -> LLMAdapter:
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"""Instantiate an :class:`LLMAdapter` for the given *provider*.
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Args:
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provider: ``"openrouter"``, ``"claude-code"``, ``"gemini"``, or ``"openai"``.
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model: Model name (passed to the adapter constructor).
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api_key: Explicit API key (OpenRouter / Gemini / OpenAI).
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system_prompt: Optional system prompt (OpenRouter / Gemini / OpenAI).
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**kwargs: Extra keyword arguments forwarded to the adapter.
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Returns:
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A ready-to-use :class:`LLMAdapter` instance.
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Raises:
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LLMConfigurationError: If *provider* is not recognised.
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"""
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if provider not in _PROVIDERS:
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known = ", ".join(sorted(_PROVIDERS))
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raise LLMConfigurationError(
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f"Unknown LLM provider {provider!r}. Choose from: {known}",
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context={"provider": provider},
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)
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# Lazy import
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fqn = _PROVIDERS[provider]
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module_path, class_name = fqn.rsplit(".", 1)
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import importlib
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mod = importlib.import_module(module_path)
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cls: Callable[..., LLMAdapter] = getattr(mod, class_name)
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if provider in ("openrouter", "gemini", "openai"):
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return cls(model=model, api_key=api_key, system_prompt=system_prompt, **kwargs)
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elif provider == "claude-code":
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return cls(model=model, **kwargs)
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elif provider == "mock":
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mock_response = os.environ.get("LLM_CONNECT_MOCK_RESPONSE")
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if mock_response is not None and "mock_response" not in kwargs:
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kwargs["mock_response"] = mock_response
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return cls(**kwargs)
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else:
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return cls(**kwargs)
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