tidyllm (version 0.5.1)

openrouter_embedding: Generate Embeddings Using the OpenRouter API

Description

Sends text to an embedding model accessible via OpenRouter and returns embedding vectors. Note that embedding models are not listed in list_models(openrouter()) — specify the model ID directly. Known supported models include "openai/text-embedding-3-small", "openai/text-embedding-3-large", and "mistralai/mistral-embed".

Usage

openrouter_embedding(
  .input,
  .model = "openai/text-embedding-3-small",
  .timeout = 120,
  .dry_run = FALSE,
  .max_tries = 3
)

Value

A tibble with columns input (text) and embeddings (list of numeric vectors).

Arguments

.input

An LLMMessage object or a character vector of texts to embed.

.model

The embedding model ID (default: "openai/text-embedding-3-small").

.timeout

Request timeout in seconds (default: 120).

.dry_run

If TRUE, returns the request object without executing it (default: FALSE).

.max_tries

Maximum retries (default: 3).