Index (Quarkus Langchain4j - Azure OpenAI

A

apiKey() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: Azure OpenAI API key
apiVersion() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: The API version to use for this operation.
AzureOpenAiRecorder - Class in io.quarkiverse.langchain4j.azure.openai.runtime
AzureOpenAiRecorder() - Constructor for class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder

baseUrl() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: The base url for the Azure OpenAI resource.

chatModel() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: Chat model related settings
chatModel(Langchain4jAzureOpenAiConfig) - 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

deploymentId() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: The name of your model deployment.

embeddingModel() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: Embedding model related settings
embeddingModel(Langchain4jAzureOpenAiConfig) - Method in class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder
EmbeddingModelConfig - Interface in io.quarkiverse.langchain4j.azure.openai.runtime.config

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

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

Langchain4jAzureOpenAiConfig - Interface in io.quarkiverse.langchain4j.azure.openai.runtime.config
logRequests() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: Whether the OpenAI client should log requests
logResponses() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: Whether the OpenAI client should log responses

maxRetries() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: The maximum number of times to retry
maxTokens() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: The maximum number of tokens to generate in the completion.
modelName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig: Model name to use

presencePenalty() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: Number between -2.0 and 2.0.

resourceName() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: The name of your Azure OpenAI Resource

streamingChatModel(Langchain4jAzureOpenAiConfig) - Method in class io.quarkiverse.langchain4j.azure.openai.runtime.AzureOpenAiRecorder

temperature() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig: What sampling temperature to use, with values between 0 and 2.
timeout() - Method in interface io.quarkiverse.langchain4j.azure.openai.runtime.config.Langchain4jAzureOpenAiConfig: Timeout for OpenAI calls
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.