72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
import os
|
|
from typing import Any, Optional
|
|
|
|
from langchain_openai import ChatOpenAI
|
|
|
|
from .base_client import BaseLLMClient
|
|
from .validators import validate_model
|
|
|
|
|
|
class UnifiedChatOpenAI(ChatOpenAI):
|
|
"""ChatOpenAI subclass that strips incompatible params for certain models."""
|
|
|
|
def __init__(self, **kwargs):
|
|
model = kwargs.get("model", "")
|
|
if self._is_reasoning_model(model):
|
|
kwargs.pop("temperature", None)
|
|
kwargs.pop("top_p", None)
|
|
super().__init__(**kwargs)
|
|
|
|
@staticmethod
|
|
def _is_reasoning_model(model: str) -> bool:
|
|
"""Check if model is a reasoning model that doesn't support temperature."""
|
|
model_lower = model.lower()
|
|
return (
|
|
model_lower.startswith("o1")
|
|
or model_lower.startswith("o3")
|
|
or "gpt-5" in model_lower
|
|
)
|
|
|
|
|
|
class OpenAIClient(BaseLLMClient):
|
|
"""Client for OpenAI, Ollama, OpenRouter, and xAI providers."""
|
|
|
|
def __init__(
|
|
self,
|
|
model: str,
|
|
base_url: Optional[str] = None,
|
|
provider: str = "openai",
|
|
**kwargs,
|
|
):
|
|
super().__init__(model, base_url, **kwargs)
|
|
self.provider = provider.lower()
|
|
|
|
def get_llm(self) -> Any:
|
|
"""Return configured ChatOpenAI instance."""
|
|
llm_kwargs = {"model": self.model}
|
|
|
|
if self.provider == "xai":
|
|
llm_kwargs["base_url"] = "https://api.x.ai/v1"
|
|
api_key = os.environ.get("XAI_API_KEY")
|
|
if api_key:
|
|
llm_kwargs["api_key"] = api_key
|
|
elif self.provider == "openrouter":
|
|
llm_kwargs["base_url"] = "https://openrouter.ai/api/v1"
|
|
api_key = os.environ.get("OPENROUTER_API_KEY")
|
|
if api_key:
|
|
llm_kwargs["api_key"] = api_key
|
|
elif self.provider == "ollama":
|
|
llm_kwargs["base_url"] = "http://localhost:11434/v1"
|
|
elif self.base_url:
|
|
llm_kwargs["base_url"] = self.base_url
|
|
|
|
for key in ("timeout", "max_retries", "reasoning_effort", "api_key", "callbacks"):
|
|
if key in self.kwargs:
|
|
llm_kwargs[key] = self.kwargs[key]
|
|
|
|
return UnifiedChatOpenAI(**llm_kwargs)
|
|
|
|
def validate_model(self) -> bool:
|
|
"""Validate model for the provider."""
|
|
return validate_model(self.provider, self.model)
|