dev.langchain4j.model.openai

Class OpenAiChatModel

java.lang.Object

dev.langchain4j.model.openai.OpenAiChatModel

All Implemented Interfaces:

dev.langchain4j.model.chat.ChatLanguageModel, dev.langchain4j.model.chat.TokenCountEstimator

public class OpenAiChatModel
extends Object
implements dev.langchain4j.model.chat.ChatLanguageModel, dev.langchain4j.model.chat.TokenCountEstimator

Represents an OpenAI language model with a chat completion interface, such as gpt-3.5-turbo and gpt-4. You can find description of parameters here.

Constructor Summary

Constructors

Constructor and Description
OpenAiChatModel(String baseUrl, String apiKey, String modelName, Double temperature, Double topP, List<String> stop, Integer maxTokens, Double presencePenalty, Double frequencyPenalty, Duration timeout, Integer maxRetries, Proxy proxy, Boolean logRequests, Boolean logResponses, dev.langchain4j.model.Tokenizer tokenizer)

Method Summary

Modifier and Type	Method and Description
int	estimateTokenCount(List<dev.langchain4j.data.message.ChatMessage> messages)
dev.langchain4j.model.output.Response<dev.langchain4j.data.message.AiMessage>	generate(List<dev.langchain4j.data.message.ChatMessage> messages)
dev.langchain4j.model.output.Response<dev.langchain4j.data.message.AiMessage>	generate(List<dev.langchain4j.data.message.ChatMessage> messages, List<dev.langchain4j.agent.tool.ToolSpecification> toolSpecifications)
dev.langchain4j.model.output.Response<dev.langchain4j.data.message.AiMessage>	generate(List<dev.langchain4j.data.message.ChatMessage> messages, dev.langchain4j.agent.tool.ToolSpecification toolSpecification)
static OpenAiChatModel	withApiKey(String apiKey)

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

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

estimateTokenCount, estimateTokenCount, estimateTokenCount, estimateTokenCount

Constructor Detail

OpenAiChatModel

public OpenAiChatModel(String baseUrl,
                       String apiKey,
                       String modelName,
                       Double temperature,
                       Double topP,
                       List<String> stop,
                       Integer maxTokens,
                       Double presencePenalty,
                       Double frequencyPenalty,
                       Duration timeout,
                       Integer maxRetries,
                       Proxy proxy,
                       Boolean logRequests,
                       Boolean logResponses,
                       dev.langchain4j.model.Tokenizer tokenizer)

Method Detail

generate

public dev.langchain4j.model.output.Response<dev.langchain4j.data.message.AiMessage> generate(List<dev.langchain4j.data.message.ChatMessage> messages)

Specified by:

generate in interface dev.langchain4j.model.chat.ChatLanguageModel

generate

public dev.langchain4j.model.output.Response<dev.langchain4j.data.message.AiMessage> generate(List<dev.langchain4j.data.message.ChatMessage> messages,
                                                                                              List<dev.langchain4j.agent.tool.ToolSpecification> toolSpecifications)

Specified by:

generate in interface dev.langchain4j.model.chat.ChatLanguageModel

generate

public dev.langchain4j.model.output.Response<dev.langchain4j.data.message.AiMessage> generate(List<dev.langchain4j.data.message.ChatMessage> messages,
                                                                                              dev.langchain4j.agent.tool.ToolSpecification toolSpecification)

Specified by:

generate in interface dev.langchain4j.model.chat.ChatLanguageModel

estimateTokenCount

public int estimateTokenCount(List<dev.langchain4j.data.message.ChatMessage> messages)

Specified by:

estimateTokenCount in interface dev.langchain4j.model.chat.TokenCountEstimator

withApiKey

public static OpenAiChatModel withApiKey(String apiKey)