Mistral AI is a research lab building state-of-the-art open-source language models and providing APIs for developers and enterprises to integrate these models into their applications.
Tool to create a new document library. Use when you need to group documents into a new library. Use after confirming authentication.
Permanently deletes a document from a Mistral AI library. Use this tool when you need to remove a specific document from a library. Both library_id and document_id must be valid UUIDs. This operation is irreversible - the document will be permanently removed. Returns an empty response on success (HTTP 204). Common errors: - 404: Document not found (already deleted or invalid document_id) - 422: Invalid UUID format for library_id or document_id
Download the content of a previously uploaded file from Mistral AI. Returns the raw binary content of the file. Use this when you need to retrieve file data for processing, such as training data files (.jsonl) for fine-tuning. Requires a valid file_id which can be obtained from the list_files or upload_file actions.
List fine-tuning jobs with optional filtering and pagination. Use this tool to retrieve all fine-tuning jobs for your organization. Supports filtering by model, status, creation time, and W&B integration. Results are paginated; use 'page' and 'page_size' to navigate large result sets.
Tool to list all files available to the user. Use when you need to view or manage uploaded files, supports pagination.
List all document libraries accessible to your organization. Returns library metadata including id, name, description, document counts, and timestamps. Use to discover available libraries before listing or uploading documents. Note: This is a beta endpoint.