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Fetch Results for an Azure OpenAI Batch

Source: R/api_azure_openai.R
fetch_azure_openai_batch.Rd

This function retrieves the results of a completed Azure OpenAI batch and updates the provided list of LLMMessage objects with the responses. It aligns each response with the original request using the custom_ids generated in send_azure_openai_batch().

Usage

fetch_azure_openai_batch(
  .llms,
  .endpoint_url = Sys.getenv("AZURE_ENDPOINT_URL"),
  .batch_id = NULL,
  .dry_run = FALSE,
  .max_tries = 3,
  .timeout = 60
)

Arguments

.llms

A list of LLMMessage objects that were part of the batch.

.endpoint_url

Base URL for the API (default: Sys.getenv("AZURE_ENDPOINT_URL")).

.batch_id

Character; the unique identifier for the batch. By default this is NULL and the function will attempt to use the batch_id attribute from .llms.

.dry_run

Logical; if TRUE, returns the constructed request without executing it (default: FALSE).

.max_tries

Integer; maximum number of retries if the request fails (default: 3).

.timeout

Integer; request timeout in seconds (default: 60).

Value

A list of updated LLMMessage objects, each with the assistant's response added if successful.