Mistral AI

import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'https://api.mistral.ai/v1',
  apiKey: process.env.MISTRAL_API_KEY
})

const response = await client.chat.completions.create({
  model: 'mistral-small-latest',
  messages: [{ role: 'user', content: 'Explain closures in one paragraph.' }]
})

console.log(response.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.mistral.ai/v1",
    api_key=os.environ["MISTRAL_API_KEY"],
)

response = client.chat.completions.create(
    model="mistral-small-latest",
    messages=[{"role": "user", "content": "Explain closures in one paragraph."}],
)

print(response.choices[0].message.content)

curl https://api.mistral.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $MISTRAL_API_KEY" \
  -d '{
    "model": "mistral-small-latest",
    "messages": [{"role": "user", "content": "Explain closures in one paragraph."}]
  }'

import { Mistral } from '@mistralai/mistralai'

const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY })

const response = await client.chat.complete({
  model: 'mistral-small-latest',
  messages: [{ role: 'user', content: 'Explain closures in one paragraph.' }]
})

console.log(response.choices[0].message.content)

import os
from mistralai import Mistral

client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])

response = client.chat.complete(
    model="mistral-small-latest",
    messages=[{"role": "user", "content": "Explain closures in one paragraph."}],
)

print(response.choices[0].message.content)