Package dev.langchain4j.model.chat

Interface ChatLanguageModel

All Known Implementing Classes:
AbstractBedrockChatModel, AnthropicChatModel, AzureOpenAiChatModel, BedrockAI21LabsChatModel, BedrockAnthropicCompletionChatModel, BedrockAnthropicMessageChatModel, BedrockCohereChatModel, BedrockLlamaChatModel, BedrockMistralAiChatModel, BedrockStabilityAIChatModel, BedrockTitanChatModel, DisabledChatLanguageModel, GitHubModelsChatModel, GoogleAiGeminiChatModel, HuggingFaceChatModel, JlamaChatModel, LocalAiChatModel, MistralAiChatModel, OllamaChatModel, OpenAiChatModel, QwenChatModel, VertexAiChatModel, VertexAiGeminiChatModel, WorkersAiChatModel
public interface ChatLanguageModel
Represents a language model that has a chat interface.

  • Method Details

    • generate

      default String generate(String userMessage)
      Generates a response from the model based on a message from a user. This is a convenience method that receives the message from a user as a String and returns only the generated response.
      Parameters:
      userMessage - The message from the user.
      Returns:
      The response generated by the model.

    • generate

      default Response<AiMessage> generate(ChatMessage... messages)
      Generates a response from the model based on a sequence of messages. Typically, the sequence contains messages in the following order: System (optional) - User - AI - User - AI - User ...
      Parameters:
      messages - An array of messages.
      Returns:
      The response generated by the model.

    • generate

      Response<AiMessage> generate(List<ChatMessage> messages)
      Generates a response from the model based on a sequence of messages. Typically, the sequence contains messages in the following order: System (optional) - User - AI - User - AI - User ...
      Parameters:
      messages - A list of messages.
      Returns:
      The response generated by the model.

    • generate

      default Response<AiMessage> generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
      Generates a response from the model based on a list of messages and a list of tool specifications. The response may either be a text message or a request to execute one of the specified tools. Typically, the list contains messages in the following order: System (optional) - User - AI - User - AI - User ...
      Parameters:
      messages - A list of messages.
      toolSpecifications - A list of tools that the model is allowed to execute. The model autonomously decides whether to use any of these tools.
      Returns:
      The response generated by the model. AiMessage can contain either a textual response or a request to execute one of the tools.

    • generate

      default Response<AiMessage> generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
      Generates a response from the model based on a list of messages and a single tool specification. The model is forced to execute the specified tool. Typically, the list contains messages in the following order: System (optional) - User - AI - User - AI - User ...
      Parameters:
      messages - A list of messages.
      toolSpecification - The specification of a tool that must be executed. The model is forced to execute this tool.
      Returns:
      The response generated by the model. AiMessage contains a request to execute the specified tool.

    • chat

      default ChatResponse chat(ChatRequest request)

    • supportedCapabilities

      default Set<Capability> supportedCapabilities()