dev.langchain4j.model.azure

Class AzureOpenAiStreamingLanguageModel

java.lang.Object

dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel

All Implemented Interfaces:

dev.langchain4j.model.language.StreamingLanguageModel, dev.langchain4j.model.language.TokenCountEstimator

public class AzureOpenAiStreamingLanguageModel
extends Object
implements dev.langchain4j.model.language.StreamingLanguageModel, dev.langchain4j.model.language.TokenCountEstimator

Represents an OpenAI language model, hosted on Azure, such as gpt-3.5-turbo-instruct. The LLM's response is streamed token by token and should be handled with StreamingResponseHandler. However, it's recommended to use OpenAiStreamingChatModel instead, as it offers more advanced features like function calling, multi-turn conversations, etc.

There are 3 authentication methods:

1. Azure OpenAI API Key Authentication: this is the most common method, using an Azure OpenAI API key. You need to provide the OpenAI API Key as a parameter, using the apiKey() method in the Builder, or the apiKey parameter in the constructor: For example, you would use `builder.apiKey("{key}")`.

2. non-Azure OpenAI API Key Authentication: this method allows to use the OpenAI service, instead of Azure OpenAI. You can use the nonAzureApiKey() method in the Builder, which will also automatically set the endpoint to "https://api.openai.com/v1". For example, you would use `builder.nonAzureApiKey("{key}")`. The constructor requires a KeyCredential instance, which can be created using `new AzureKeyCredential("{key}")`, and doesn't set up the endpoint.

3. Azure OpenAI client with Microsoft Entra ID (formerly Azure Active Directory) credentials. - This requires to add the `com.azure:azure-identity` dependency to your project, which is an optional dependency to this library. - You need to provide a TokenCredential instance, using the tokenCredential() method in the Builder, or the tokenCredential parameter in the constructor. As an example, DefaultAzureCredential can be used to authenticate the client: Set the values of the client ID, tenant ID, and client secret of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET. Then, provide the DefaultAzureCredential instance to the builder: `builder.tokenCredential(new DefaultAzureCredentialBuilder().build())`.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AzureOpenAiStreamingLanguageModel.Builder

Constructor Summary

Constructors

Constructor and Description
AzureOpenAiStreamingLanguageModel(com.azure.ai.openai.OpenAIClient client, String deploymentName, dev.langchain4j.model.Tokenizer tokenizer, Double temperature, Double topP, Integer maxTokens, Double presencePenalty, Double frequencyPenalty)
AzureOpenAiStreamingLanguageModel(String endpoint, String serviceVersion, com.azure.core.credential.KeyCredential keyCredential, String deploymentName, dev.langchain4j.model.Tokenizer tokenizer, Double temperature, Double topP, Integer maxTokens, Double presencePenalty, Double frequencyPenalty, Duration timeout, Integer maxRetries, com.azure.core.http.ProxyOptions proxyOptions, boolean logRequestsAndResponses)
AzureOpenAiStreamingLanguageModel(String endpoint, String serviceVersion, String apiKey, String deploymentName, dev.langchain4j.model.Tokenizer tokenizer, Double temperature, Double topP, Integer maxTokens, Double presencePenalty, Double frequencyPenalty, Duration timeout, Integer maxRetries, com.azure.core.http.ProxyOptions proxyOptions, boolean logRequestsAndResponses)
AzureOpenAiStreamingLanguageModel(String endpoint, String serviceVersion, com.azure.core.credential.TokenCredential tokenCredential, String deploymentName, dev.langchain4j.model.Tokenizer tokenizer, Double temperature, Double topP, Integer maxTokens, Double presencePenalty, Double frequencyPenalty, Duration timeout, Integer maxRetries, com.azure.core.http.ProxyOptions proxyOptions, boolean logRequestsAndResponses)

Method Summary

Modifier and Type	Method and Description
static AzureOpenAiStreamingLanguageModel.Builder	builder()
int	estimateTokenCount(String prompt)
void	generate(String prompt, dev.langchain4j.model.StreamingResponseHandler<String> handler)

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.language.StreamingLanguageModel

generate

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

estimateTokenCount, estimateTokenCount

Constructor Detail

AzureOpenAiStreamingLanguageModel

public AzureOpenAiStreamingLanguageModel(com.azure.ai.openai.OpenAIClient client,
                                         String deploymentName,
                                         dev.langchain4j.model.Tokenizer tokenizer,
                                         Double temperature,
                                         Double topP,
                                         Integer maxTokens,
                                         Double presencePenalty,
                                         Double frequencyPenalty)

AzureOpenAiStreamingLanguageModel

public AzureOpenAiStreamingLanguageModel(String endpoint,
                                         String serviceVersion,
                                         String apiKey,
                                         String deploymentName,
                                         dev.langchain4j.model.Tokenizer tokenizer,
                                         Double temperature,
                                         Double topP,
                                         Integer maxTokens,
                                         Double presencePenalty,
                                         Double frequencyPenalty,
                                         Duration timeout,
                                         Integer maxRetries,
                                         com.azure.core.http.ProxyOptions proxyOptions,
                                         boolean logRequestsAndResponses)

AzureOpenAiStreamingLanguageModel

public AzureOpenAiStreamingLanguageModel(String endpoint,
                                         String serviceVersion,
                                         com.azure.core.credential.KeyCredential keyCredential,
                                         String deploymentName,
                                         dev.langchain4j.model.Tokenizer tokenizer,
                                         Double temperature,
                                         Double topP,
                                         Integer maxTokens,
                                         Double presencePenalty,
                                         Double frequencyPenalty,
                                         Duration timeout,
                                         Integer maxRetries,
                                         com.azure.core.http.ProxyOptions proxyOptions,
                                         boolean logRequestsAndResponses)

AzureOpenAiStreamingLanguageModel

public AzureOpenAiStreamingLanguageModel(String endpoint,
                                         String serviceVersion,
                                         com.azure.core.credential.TokenCredential tokenCredential,
                                         String deploymentName,
                                         dev.langchain4j.model.Tokenizer tokenizer,
                                         Double temperature,
                                         Double topP,
                                         Integer maxTokens,
                                         Double presencePenalty,
                                         Double frequencyPenalty,
                                         Duration timeout,
                                         Integer maxRetries,
                                         com.azure.core.http.ProxyOptions proxyOptions,
                                         boolean logRequestsAndResponses)

Method Detail

generate

public void generate(String prompt,
                     dev.langchain4j.model.StreamingResponseHandler<String> handler)

Specified by:

generate in interface dev.langchain4j.model.language.StreamingLanguageModel

estimateTokenCount

public int estimateTokenCount(String prompt)

Specified by:

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

builder

public static AzureOpenAiStreamingLanguageModel.Builder builder()