Tools

Generate Embeddings

Generate vector embeddings for text content using Gemini embedding models. Supports single and batch embedding generation with configurable task type and dimensionality. Useful for semantic search, classification, and clustering.

Count Tokens

Count the number of tokens in text content for a specific Gemini model. Useful for estimating costs and ensuring prompts fit within model token limits before sending generation requests.

List Cached Contents

List all cached content entries. Returns cached content metadata including model association, creation time, and expiration.

Generate Text

Generate text using Gemini models with multimodal input support. Supports single-turn and multi-turn conversations with text, images, audio, video, and document inputs. Configure generation parameters, safety settings, system instructions, JSON output mode, and function calling.

Delete File

Delete a file previously uploaded to the Gemini File API. The file will no longer be available for use in generation requests.

Delete Cached Content

Delete a cached content entry. The cached content will no longer be available for use in generation requests.

Update Cached Content

Update the TTL or expiration time of existing cached content. Use this to extend or shorten the lifetime of a cache entry.

List Models

List available Gemini models and their capabilities. Returns model names, supported generation methods, token limits, and other metadata. Use this to discover which models are available and their specifications.

List Files

List files previously uploaded to the Gemini File API. Files are stored for 48 hours and can be referenced in generation requests by their URI.

Get File

Get metadata for a file previously uploaded to the Gemini File API. Returns file details including processing state, size, MIME type, and expiration time.

Generate Image

Generate or edit images using Gemini's native image generation capabilities or Imagen models. Supports text-to-image generation and image editing with text prompts. Returns generated images as base64-encoded data.

Create Cached Content

Create cached content to save and reuse precomputed input tokens. Caching is useful when repeatedly prompting with the same large context (e.g., a long document or system instructions). Cached content can be referenced in subsequent generation requests for cost and latency savings.