Package dev.langchain4j.model.dashscope

Class QwenChatModel

java.lang.Object

dev.langchain4j.model.dashscope.QwenChatModel

All Implemented Interfaces:

ChatLanguageModel

public class QwenChatModel
extends Object
implements ChatLanguageModel

Represents a Qwen language model with a chat completion interface. More details are available here.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	QwenChatModel.QwenChatModelBuilder

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	QwenChatModel(String baseUrl, String apiKey, String modelName, Double topP, Integer topK, Boolean enableSearch, Integer seed, Float repetitionPenalty, Float temperature, List<String> stops, Integer maxTokens)

Method Summary

Modifier and Type	Method	Description
static QwenChatModel.QwenChatModelBuilder	builder()
Response<AiMessage>	generate(List<ChatMessage> messages)	Generates a response from the model based on a sequence of messages.
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.
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.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface dev.langchain4j.model.chat.ChatLanguageModel

generate, generate

Constructor Details

QwenChatModel

protected QwenChatModel(String baseUrl,
 String apiKey,
 String modelName,
 Double topP,
 Integer topK,
 Boolean enableSearch,
 Integer seed,
 Float repetitionPenalty,
 Float temperature,
 List<String> stops,
 Integer maxTokens)

Method Details

generate

public Response<AiMessage> generate(List<ChatMessage> messages)

Description copied from interface: ChatLanguageModel

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 ...

Specified by:

generate in interface ChatLanguageModel

Parameters:

messages - A list of messages.

Returns:

The response generated by the model.

generate

public Response<AiMessage> generate(List<ChatMessage> messages,
 List<ToolSpecification> toolSpecifications)

Description copied from interface: ChatLanguageModel

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 ...

Specified by:

generate in interface ChatLanguageModel

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

public Response<AiMessage> generate(List<ChatMessage> messages,
 ToolSpecification toolSpecification)

Description copied from interface: ChatLanguageModel

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 ...

Specified by:

generate in interface ChatLanguageModel

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.

builder

public static QwenChatModel.QwenChatModelBuilder builder()