Class LLMObsIntegrationInferenceResponse

The result of an LLM inference request, including input parameters and the model response.

Hierarchy

  • LLMObsIntegrationInferenceResponse

Constructors

Properties

additionalProperties?: {
    [key: string]: any;
}

A container for additional, undeclared properties. This is a holder for any undeclared properties as specified with the 'additionalProperties' keyword in the OAS document.

Type declaration

  • [key: string]: any
anthropicMetadata?: LLMObsAnthropicMetadata

Anthropic-specific metadata for an inference request.

azureOpenaiMetadata?: LLMObsAzureOpenAIMetadata

Azure OpenAI-specific metadata for an integration account or inference request.

bedrockMetadata?: LLMObsBedrockMetadata

Amazon Bedrock-specific metadata for an inference request.

Error details returned when an inference provider returns an error.

frequencyPenalty?: number

Frequency penalty that was applied.

jsonSchema?: string

JSON schema that was applied for structured output.

maxCompletionTokens?: number

Maximum number of completion tokens that were configured.

maxTokens?: number

Maximum number of tokens that were configured.

List of messages in an inference conversation.

modelId: string

The model identifier used for inference.

openaiMetadata?: LLMObsOpenAIMetadata

OpenAI-specific metadata for an inference request.

presencePenalty?: number

Presence penalty that was applied.

The output of a completed LLM inference call.

temperature?: number

Sampling temperature that was used.

List of tools available to the model.

topK?: number

Top-K sampling parameter that was used.

topP?: number

Nucleus sampling parameter that was used.

vertexAiMetadata?: LLMObsVertexAIMetadata

Vertex AI-specific metadata for an integration account or inference request.

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