mirror of
https://github.com/hwchase17/langchain
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78 lines
3.6 KiB
Python
78 lines
3.6 KiB
Python
"""**Chat Models** are a variation on language models.
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While Chat Models use language models under the hood, the interface they expose
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is a bit different. Rather than expose a "text in, text out" API, they expose
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an interface where "chat messages" are the inputs and outputs.
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**Class hierarchy:**
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.. code-block::
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BaseLanguageModel --> BaseChatModel --> <name> # Examples: ChatOpenAI, ChatGooglePalm
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**Main helpers:**
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.. code-block::
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AIMessage, BaseMessage, HumanMessage
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""" # noqa: E501
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import importlib
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from typing import Any
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_module_lookup = {
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"AzureChatOpenAI": "langchain_community.chat_models.azure_openai",
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"BedrockChat": "langchain_community.chat_models.bedrock",
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"ChatAnthropic": "langchain_community.chat_models.anthropic",
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"ChatAnyscale": "langchain_community.chat_models.anyscale",
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"ChatBaichuan": "langchain_community.chat_models.baichuan",
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"ChatCohere": "langchain_community.chat_models.cohere",
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"ChatDatabricks": "langchain_community.chat_models.databricks",
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"ChatDeepInfra": "langchain_community.chat_models.deepinfra",
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"ChatEverlyAI": "langchain_community.chat_models.everlyai",
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"ChatFireworks": "langchain_community.chat_models.fireworks",
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"ChatFriendli": "langchain_community.chat_models.friendli",
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"ChatGooglePalm": "langchain_community.chat_models.google_palm",
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"ChatHuggingFace": "langchain_community.chat_models.huggingface",
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"ChatHunyuan": "langchain_community.chat_models.hunyuan",
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"ChatJavelinAIGateway": "langchain_community.chat_models.javelin_ai_gateway",
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"ChatKinetica": "langchain_community.chat_models.kinetica",
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"ChatKonko": "langchain_community.chat_models.konko",
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"ChatLiteLLM": "langchain_community.chat_models.litellm",
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"ChatLiteLLMRouter": "langchain_community.chat_models.litellm_router",
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"ChatMLflowAIGateway": "langchain_community.chat_models.mlflow_ai_gateway",
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"ChatMaritalk": "langchain_community.chat_models.maritalk",
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"ChatMlflow": "langchain_community.chat_models.mlflow",
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"ChatOllama": "langchain_community.chat_models.ollama",
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"ChatOpenAI": "langchain_community.chat_models.openai",
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"ChatPerplexity": "langchain_community.chat_models.perplexity",
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"ChatSparkLLM": "langchain_community.chat_models.sparkllm",
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"ChatTongyi": "langchain_community.chat_models.tongyi",
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"ChatVertexAI": "langchain_community.chat_models.vertexai",
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"ChatYandexGPT": "langchain_community.chat_models.yandex",
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"ChatYuan2": "langchain_community.chat_models.yuan2",
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"ChatZhipuAI": "langchain_community.chat_models.zhipuai",
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"ErnieBotChat": "langchain_community.chat_models.ernie",
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"FakeListChatModel": "langchain_community.chat_models.fake",
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"GPTRouter": "langchain_community.chat_models.gpt_router",
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"GigaChat": "langchain_community.chat_models.gigachat",
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"HumanInputChatModel": "langchain_community.chat_models.human",
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"JinaChat": "langchain_community.chat_models.jinachat",
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"LlamaEdgeChatService": "langchain_community.chat_models.llama_edge",
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"MiniMaxChat": "langchain_community.chat_models.minimax",
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"PaiEasChatEndpoint": "langchain_community.chat_models.pai_eas_endpoint",
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"PromptLayerChatOpenAI": "langchain_community.chat_models.promptlayer_openai",
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"QianfanChatEndpoint": "langchain_community.chat_models.baidu_qianfan_endpoint",
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"VolcEngineMaasChat": "langchain_community.chat_models.volcengine_maas",
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}
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def __getattr__(name: str) -> Any:
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if name in _module_lookup:
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module = importlib.import_module(_module_lookup[name])
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return getattr(module, name)
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raise AttributeError(f"module {__name__} has no attribute {name}")
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__all__ = list(_module_lookup.keys())
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