Des modèles calculés en Suisse, derrière l’API que votre code connaît déjà.

curl https://api.learnya.ai/v1/chat/completions \
  -H "Authorization: Bearer $LEARNYA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flash",
    "messages": [
      {
        "role": "user",
        "content": "Summarise Swiss data protection law."
      }
    ]
  }'

import os
from openai import OpenAI

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

response = client.chat.completions.create(
    model="flash",
    messages=[
        {
            "role": "user",
            "content": "Summarise Swiss data protection law.",
        }
    ],
)
print(response.choices[0].message.content)

import OpenAI from "openai"

const client = new OpenAI({
  baseURL: "https://api.learnya.ai/v1",
  apiKey: process.env.LEARNYA_API_KEY,
})

const response = await client.chat.completions.create({
  model: "flash",
  messages: [
    {
      role: "user",
      content: "Summarise Swiss data protection law.",
    },
  ],
})
console.log(response.choices[0].message.content)

import OpenAI from "openai"

const client = new OpenAI({
  baseURL: "https://api.learnya.ai/v1",
  apiKey: process.env.LEARNYA_API_KEY,
})

const response: OpenAI.ChatCompletion =
  await client.chat.completions.create({
    model: "flash",
    messages: [
      {
        role: "user",
        content: "Summarise Swiss data protection law.",
      },
    ],
  })
const answer: string | null =
  response.choices[0].message.content
console.log(answer)