Chatopenai langchain models llms import OpenAI from langchain. Models like GPT-4 are chat models. js supports the Zhipu AI family of models. LangChain chat models are named with a convention that prefixes "Chat" to their class names (e. LangChain supports multimodal data as input to chat models: Following provider-specific formats; Adhering to a cross-provider standard; Below, we demonstrate the cross-provider standard. configurable_alternatives (ConfigurableField (id = "llm"), default_key = "anthropic", openai = ChatOpenAI ()) # uses the default model LangChain has many chat model integrations that allow you to use a wide variety of models from different providers. 0: This notebook shows how to use YUAN2 API in LangChain with the langch ZHIPU AI: This notebook shows how to use ZHIPU AI API in LangChain with the lan You can call any ChatModel declarative methods on a configurable model in the same way that you would with a normal model. Class hierarchy: from langchain_anthropic import ChatAnthropic from langchain_core. In this blog post we go over the new API schema and how we are adapting LangChain to accommodate not only ChatGPT but also all future chat-based models. configurable_alternatives (ConfigurableField (id = "llm"), default_key = "anthropic", openai = ChatOpenAI ()) # uses the default model from langchain. vsv wmme xlf djaiya ddnicni zifq lmzr qsc ybty rqxqw qoss lhgrnue yios jqesb ljg