from langchain_community.chat_models.azure_openai import ( AzureChatOpenAI, ) from langchain_community.chat_models.openai import ( ChatOpenAI as OpenAIChat, ) from langchain.llms.anthropic import Anthropic from langchain.llms.cohere import Cohere from langchain.llms.mosaicml import MosaicML from langchain.llms.openai import OpenAI # , OpenAIChat, AzureOpenAI from langchain_community.llms.octoai_endpoint import OctoAIEndpoint from langchain.llms.replicate import Replicate from langchain_community.llms.fireworks import Fireworks # noqa: F401 class Anthropic(Anthropic): def __call__(self, *args, **kwargs): return self.invoke(*args, **kwargs) def run(self, *args, **kwargs): return self.invoke(*args, **kwargs) class CohereChat(Cohere): def __call__(self, *args, **kwargs): return self.invoke(*args, **kwargs) def run(self, *args, **kwargs): return self.invoke(*args, **kwargs) class MosaicMLChat(MosaicML): def __call__(self, *args, **kwargs): return self.invoke(*args, **kwargs) def run(self, *args, **kwargs): return self.invoke(*args, **kwargs) class OpenAILLM(OpenAI): def __call__(self, *args, **kwargs): return self.invoke(*args, **kwargs) def run(self, *args, **kwargs): return self.invoke(*args, **kwargs) class ReplicateChat(Replicate): def __call__(self, *args, **kwargs): return self.invoke(*args, **kwargs) def run(self, *args, **kwargs): return self.invoke(*args, **kwargs) class AzureOpenAILLM(AzureChatOpenAI): def __call__(self, *args, **kwargs): return self.invoke(*args, **kwargs) def run(self, *args, **kwargs): return self.invoke(*args, **kwargs) class OpenAIChatLLM(OpenAIChat): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) def __call__(self, *args, **kwargs): out = self.invoke(*args, **kwargs) return out.content.strip() def run(self, *args, **kwargs): out = self.invoke(*args, **kwargs) return out.content.strip() class OctoAIChat(OctoAIEndpoint): def __call__(self, *args, **kwargs): return self.invoke(*args, **kwargs) def run(self, *args, **kwargs): return self.invoke(*args, **kwargs)