mistral-deploy-integration

name	mistral-deploy-integration
description	Deploy Mistral AI integrations to Vercel, Docker, and Cloud Run platforms. Use when deploying Mistral AI-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy mistral", "mistral Vercel", "mistral production deploy", "mistral Cloud Run", "mistral Docker".
allowed-tools	Read, Write, Edit, Bash(vercel:*), Bash(docker:*), Bash(gcloud:*)
version	1.12.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","mistral","deployment"]
compatibility	Designed for Claude Code

Mistral AI Deploy Integration

Overview

Deploy Mistral AI-powered applications to production with secure API key management. Covers Vercel (Edge + Serverless), Docker, Cloud Run, and self-hosted vLLM deployments. All connect to api.mistral.ai or your own inference endpoint.

Prerequisites

• Mistral AI production API key
• Platform CLI installed (vercel, docker, or gcloud)
• Application using @mistralai/mistralai SDK

Instructions

Step 1: Platform Secret Configuration

set -euo pipefail
# Vercel
vercel env add MISTRAL_API_KEY production
vercel env add MISTRAL_MODEL production  # optional: default model

# Cloud Run
echo -n "your-key" | gcloud secrets create mistral-api-key --data-file=-

# Docker
echo "MISTRAL_API_KEY=your-key" > .env.production
echo ".env.production" >> .gitignore

Step 2: Vercel Edge Function

// api/chat.ts — Vercel Edge Function with streaming
import { Mistral } from '@mistralai/mistralai';

export const config = { runtime: 'edge' };

export default async function handler(req: Request) {
  const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY! });
   { messages, stream =  } =  req.();

   (stream) {
     streamResponse =  client..({
      : process.. ?? ,
      messages,
    });

     encoder =  ();
     readable =  ({
       () {
          ( event  streamResponse) {
           content = event.?.?.[]?.?.;
           (content) {
            controller.(encoder.());
          }
        }
        controller.(encoder.());
        controller.();
      },
    });

      (readable, {
      : {
        : ,
        : ,
      },
    });
  }

   response =  client..({
    : process.. ?? ,
    messages,
  });

   .(response);
}