Principle:Mistralai Client python File Upload

Knowledge Sources	Mistral AI Docs Mistral Client Python
Domains	Fine_Tuning, File_Management
Last Updated	2026-02-15 14:00 GMT

Overview

A file management pattern that uploads training data files to Mistral's servers for use in fine-tuning jobs.

Description

File Upload transfers local JSONL training data files to Mistral's cloud storage, making them available for fine-tuning job creation. The upload returns a file ID that serves as a reference in subsequent API calls. Files can have a purpose tag (e.g., "fine-tune") to categorize them. The upload uses multipart form encoding for efficient binary transfer.

Usage

Use this principle after preparing training data in JSONL format. Upload the file before creating a fine-tuning job. The returned file ID is required for the training_files parameter of fine_tuning.jobs.create().

Theoretical Basis

File upload follows the multipart upload pattern:

1. Read file content into memory (or stream)
2. Construct a multipart form with file name, content, and purpose
3. POST to the files endpoint
4. Receive a file ID for reference in subsequent API calls

Related Pages

Implemented By

• Implementation:Mistralai_Client_python_Files_Upload