Mistral AI

from mistralai.client import MistralClient
import os
from honeyhive import HoneyHiveTracer

tracer = HoneyHiveTracer.init(
    api_key="MY_HONEYHIVE_API_KEY",
    project="MY_HONEYHIVE_PROJECT_NAME",
)

s = MistralClient(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
)

res = s.chat(
    model="mistral-small-latest", messages=[
    {
        "content": "What is your name and model type? Answer in one short sentence.",
        "role": "user",
    },
])

if res is not None:
    print(res.choices[0].message.content)

import { Mistral } from "@mistralai/mistralai";
import process from "node:process";
import { HoneyHiveTracer } from 'honeyhive';

const tracer = await HoneyHiveTracer.init({
    apiKey: "MY_HONEYHIVE_API_KEY",
    project: "MY_HONEYHIVE_PROJECT_NAME",
    sessionName: "mistral",
});

const mistral = new Mistral({
    apiKey: process.env["MISTRAL_API_KEY"] ?? "",
});

async function run(input: string): Promise<any> {
    const result = await mistral.chat.complete({
        model: "mistral-small-latest",
        messages: [
            {
                role: "user",
                content: input,
            },
        ],
    });

    // Handle the result
    console.log(result);
    return result;
}

const tracedRun = tracer.traceFunction()(run);
await tracedRun("Who is the best French painter? Answer in one short sentence.");