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@platformatic/mistral-client

v0.1.0

Published

This javascript client is inspired from [cohere-typescript](https://github.com/cohere-ai/cohere-typescript) Forked from https://github.com/mistralai/client-js because the original monkey-patched `fetch()`.

Downloads

192

Readme

This javascript client is inspired from cohere-typescript Forked from https://github.com/mistralai/client-js because the original monkey-patched fetch().

Mistral Javascript Client

You can use the Mistral Javascript client to interact with the Mistral AI API.

Installing

You can install the library in your project using:

npm install @platformatic/mistral-client

Usage

Set up

import MistralClient from '@platformatic/mistral-client';

const apiKey = process.env.MISTRAL_API_KEY || 'your_api_key';

const client = new MistralClient(apiKey);

List models

const listModelsResponse = await client.listModels();
const listModels = listModelsResponse.data;
listModels.forEach((model) => {
  console.log('Model:', model);
});

Chat with streaming

const chatStreamResponse = await client.chatStream({
  model: 'mistral-tiny',
  messages: [{role: 'user', content: 'What is the best French cheese?'}],
});

console.log('Chat Stream:');
for await (const chunk of chatStreamResponse) {
  if (chunk.choices[0].delta.content !== undefined) {
    const streamText = chunk.choices[0].delta.content;
    process.stdout.write(streamText);
  }
}

Chat without streaming

const chatResponse = await client.chat({
  model: 'mistral-tiny',
  messages: [{role: 'user', content: 'What is the best French cheese?'}],
});

console.log('Chat:', chatResponse.choices[0].message.content);

Embeddings

const input = [];
for (let i = 0; i < 1; i++) {
  input.push('What is the best French cheese?');
}

const embeddingsBatchResponse = await client.embeddings({
  model: 'mistral-embed',
  input: input,
});

console.log('Embeddings Batch:', embeddingsBatchResponse.data);

Run examples

You can run the examples in the examples directory by installing them locally:

cd examples
npm install .

API key setup

Running the examples requires a Mistral AI API key.

Get your own Mistral API Key: https://docs.mistral.ai/#api-access

Run the examples

MISTRAL_API_KEY='your_api_key' node chat_with_streaming.js

Persisting the API key in environment

Set your Mistral API Key as an environment variable. You only need to do this once.

# set Mistral API Key (using zsh for example)
$ echo 'export MISTRAL_API_KEY=[your_api_key]' >> ~/.zshenv

# reload the environment (or just quit and open a new terminal)
$ source ~/.zshenv

You can then run the examples without appending the API key:

node chat_with_streaming.js

After the env variable setup the client will find the MISTRAL_API_KEY by itself

import MistralClient from '@platformatic/mistral-client';

const client = new MistralClient();