Index (Quarkus LangChain4j - Azure OpenAI

A B C D E F G I L M N P Q R S T U V
All Classes and Interfaces|All Packages

A

adToken() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: The Azure AD token to use for this operation.
adToken() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: The Azure AD token to use for this operation.
adToken() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: The Azure AD token to use for this operation.
adToken() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: The Azure AD token to use for this operation.
adToken(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
adToken(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
adToken(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
adToken(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
apiKey() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: Azure OpenAI API key
apiKey() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: Azure OpenAI API key
apiKey() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: Azure OpenAI API key
apiKey() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: Azure OpenAI API key
apiKey(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder: Sets the Azure OpenAI API key.
apiKey(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder: Sets the Azure OpenAI API key.
apiKey(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
apiKey(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder: Sets the Azure OpenAI API key.
apiVersion() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: The API version to use for this operation.
apiVersion() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: The API version to use for this operation.
apiVersion() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: The API version to use for this operation.
apiVersion() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: The API version to use for this operation.
apiVersion(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder: Sets the Azure OpenAI API version.
apiVersion(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder: Sets the Azure OpenAI API version.
apiVersion(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
apiVersion(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder: Sets the Azure OpenAI API version.
AzureOpenAiChatModel - Class in io.quarkiverse.langchain4j.azure.openai: Represents an OpenAI language model, hosted on Azure, that has a chat completion interface, such as gpt-3.5-turbo.
AzureOpenAiChatModel(String, String, String, String, TokenCountEstimator, Double, Double, Integer, Double, Double, Duration, Integer, Proxy, String, Boolean, Boolean, String, List<ChatModelListener>) - Constructor for class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel
AzureOpenAiChatModel.Builder - Class in io.quarkiverse.langchain4j.azure.openai
AzureOpenAiEmbeddingModel - Class in io.quarkiverse.langchain4j.azure.openai: Represents an OpenAI embedding model, hosted on Azure, such as text-embedding-ada-002.
AzureOpenAiEmbeddingModel(String, String, String, String, TokenCountEstimator, Duration, Integer, Proxy, Boolean, Boolean, String) - Constructor for class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel
AzureOpenAiEmbeddingModel.Builder - Class in io.quarkiverse.langchain4j.azure.openai
AzureOpenAiImageModel - Class in io.quarkiverse.langchain4j.azure.openai
AzureOpenAiImageModel(String, String, String, String, String, String, String, String, Optional<String>, String, Duration, Integer, Boolean, Boolean, Optional<Path>, String) - Constructor for class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel
AzureOpenAiImageModel.Builder - Class in io.quarkiverse.langchain4j.azure.openai
AzureOpenAiRecorder - Class in io.quarkiverse.langchain4j.azure.openai.runtime
AzureOpenAiRecorder(RuntimeValue<LangChain4jAzureOpenAiConfig>) - Constructor for class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder
AzureOpenAiStreamingChatModel - Class in io.quarkiverse.langchain4j.azure.openai: Represents an OpenAI language model, hosted on Azure, that has a chat completion interface, such as gpt-3.5-turbo.
AzureOpenAiStreamingChatModel(String, String, String, String, TokenCountEstimator, Double, Double, Integer, Double, Double, Duration, Proxy, String, Boolean, Boolean, String, List<ChatModelListener>) - Constructor for class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel
AzureOpenAiStreamingChatModel.Builder - Class in io.quarkiverse.langchain4j.azure.openai

B

build() - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
build() - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
build() - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
build() - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
builder() - Static method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel
builder() - Static method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel
builder() - Static method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel
builder() - Static method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel
Builder() - Constructor for class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
Builder() - Constructor for class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
Builder() - Constructor for class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
Builder() - Constructor for class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder

C

CHAT - Enum constant in enum class io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType
chatModel() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: Chat model related settings
chatModel(String) - Method in class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder
ChatModelConfig - Interface in io.quarkiverse.langchain4j.azure.openai.runtime.config
cleanUp(ShutdownContext) - Method in class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder
configName(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
configName(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
configName(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
configName(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder

D

defaultConfig() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig: Default model config.
deploymentName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: This property will override the quarkus.langchain4j.azure-openai.deployment-name specifically for chat models if it is set.
deploymentName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: This property will override the quarkus.langchain4j.azure-openai.deployment-name specifically for embedding models if it is set.
deploymentName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: This property will override the quarkus.langchain4j.azure-openai.deployment-name specifically for image models if it is set.
deploymentName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: The name of your model deployment.
deploymentNameFor(LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType) - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig
doChat(ChatRequest) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel
doChat(ChatRequest, StreamingChatResponseHandler) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel
domainName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: This property will override the quarkus.langchain4j.azure-openai.domain-name specifically for chat models if it is set.
domainName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: This property will override the quarkus.langchain4j.azure-openai.domain-name specifically for embedding models if it is set.
domainName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: This property will override the quarkus.langchain4j.azure-openai.domain-name specifically for image models if it is set.
domainName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: The domain name of your Azure OpenAI Resource.
domainNameFor(LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType) - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig

E

embedAll(List<TextSegment>) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel: Embeds the provided text segments, processing a maximum of 16 segments at a time.
EMBEDDING - Enum constant in enum class io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType
embeddingModel() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: Embedding model related settings
embeddingModel(String) - Method in class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder
EmbeddingModelConfig - Interface in io.quarkiverse.langchain4j.azure.openai.runtime.config
EMPTY_PROBLEMS - Static variable in class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder
enableIntegration() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: Whether to enable the integration.
endpoint() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: This property will override the quarkus.langchain4j.azure-openai.endpoint specifically for chat models if it is set.
endpoint() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: This property will override the quarkus.langchain4j.azure-openai.endpoint specifically for embedding models if it is set.
endpoint() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: This property will override the quarkus.langchain4j.azure-openai.endpoint specifically for image models if it is set.
endpoint() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: The endpoint for the Azure OpenAI resource.
endpoint(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder: Sets the Azure OpenAI endpoint.
endpoint(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder: Sets the Azure OpenAI endpoint.
endpoint(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
endpoint(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder: Sets the Azure OpenAI endpoint.
endPointFor(LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType) - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig

F

frequencyPenalty() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: Number between -2.0 and 2.0.
frequencyPenalty(Double) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
frequencyPenalty(Double) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder

G

generate(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel
generate(String, int) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel

I

IMAGE - Enum constant in enum class io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType
imageModel() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: Image model related settings
imageModel(String) - Method in class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder
ImageModelConfig - Interface in io.quarkiverse.langchain4j.azure.openai.runtime.config
io.quarkiverse.langchain4j.azure.openai - package io.quarkiverse.langchain4j.azure.openai
io.quarkiverse.langchain4j.azure.openai.runtime - package io.quarkiverse.langchain4j.azure.openai.runtime
io.quarkiverse.langchain4j.azure.openai.runtime.config - package io.quarkiverse.langchain4j.azure.openai.runtime.config

L

LangChain4jAzureOpenAiConfig - Interface in io.quarkiverse.langchain4j.azure.openai.runtime.config
LangChain4jAzureOpenAiConfig.AzureAiConfig - Interface in io.quarkiverse.langchain4j.azure.openai.runtime.config
LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType - Enum Class in io.quarkiverse.langchain4j.azure.openai.runtime.config
listeners(List<ChatModelListener>) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
listeners(List<ChatModelListener>) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
logRequests() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: Whether chat model requests should be logged
logRequests() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: Whether embedding model requests should be logged
logRequests() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: Whether image model requests should be logged
logRequests() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: Whether the OpenAI client should log requests
logRequests(Boolean) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
logRequests(Boolean) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
logRequests(Boolean) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
logRequests(Boolean) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
logResponses() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: Whether chat model responses should be logged
logResponses() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: Whether embedding model responses should be logged
logResponses() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: Whether image model responses should be logged
logResponses() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: Whether the OpenAI client should log responses
logResponses(Boolean) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
logResponses(Boolean) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
logResponses(Boolean) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
logResponses(Boolean) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder

M

maxRetries() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: Deprecated.
Using the fault tolerance mechanisms built in Langchain4j is not recommended. If possible, use MicroProfile Fault Tolerance instead.
maxRetries(Integer) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
maxRetries(Integer) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
maxRetries(Integer) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
maxTokens() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: The maximum number of tokens to generate in the completion.
maxTokens(Integer) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
maxTokens(Integer) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
modelName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: Model name to use
modelName(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder

N

namedConfig() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig: Named model config.
number() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: The number of images to generate.

P

persist() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: Configure whether the generated images will be saved to disk.
persistDirectory() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: The path where the generated images will be persisted to disk.
persistDirectory(Optional<Path>) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
presencePenalty() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: Number between -2.0 and 2.0.
presencePenalty(Double) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
presencePenalty(Double) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
proxy(Proxy) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
proxy(Proxy) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
proxy(Proxy) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
proxyHost() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: The Proxy host
proxyPort() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: The Proxy port
proxyType() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: The Proxy type

Q

quality() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: The quality of the image that will be generated.
quality(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder

R

resourceName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: This property will override the quarkus.langchain4j.azure-openai.resource-name specifically for chat models if it is set.
resourceName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: This property will override the quarkus.langchain4j.azure-openai.resource-name specifically for embedding models if it is set.
resourceName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: This property will override the quarkus.langchain4j.azure-openai.resource-name specifically for image models if it is set.
resourceName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: The name of your Azure OpenAI Resource.
resourceNameFor(LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType) - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig
responseFormat() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: The response format the model should use.
responseFormat() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: The format in which the generated images are returned.
responseFormat(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
responseFormat(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
responseFormat(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder

S

size() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: The size of the generated images.
size(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
streamingChatModel(String) - Method in class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder
style() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: The style of the generated images.
style(String) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder

T

temperature() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: What sampling temperature to use, with values between 0 and 2.
temperature(Double) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
temperature(Double) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
timeout() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig: Timeout for OpenAI calls
timeout(Duration) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
timeout(Duration) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
timeout(Duration) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder
timeout(Duration) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
tokenizer(TokenCountEstimator) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
tokenizer(TokenCountEstimator) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiEmbeddingModel.Builder
tokenizer(TokenCountEstimator) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder
topP() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with topP probability mass. 0.1 means only the tokens comprising the top 10% probability mass are considered.
topP(Double) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiChatModel.Builder
topP(Double) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel.Builder

U

user() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ImageModelConfig: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
user(Optional<String>) - Method in class io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel.Builder

V

valueOf(String) - Static method in enum class io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType: Returns the enum constant of this class with the specified name.
values() - Static method in enum class io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType: Returns an array containing the constants of this enum class, in the order they are declared.

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