@anvia/mistral: Getting Started

Install

pnpm add @anvia/mistral @anvia/core

Configure credentials

Set MISTRAL_API_KEY in the server environment. Keep provider keys on the server side; browser clients should call an application route that owns the model request.

Minimum setup

import { AgentBuilder } from "@anvia/core";
import { MistralClient } from "@anvia/mistral";

const client = new MistralClient({
  apiKey: process.env.MISTRAL_API_KEY,
});

const model = client.completionModel("mistral-large-latest");

const agent = new AgentBuilder("assistant", model)
  .instructions("Answer clearly and concisely.")
  .build();

const response = await agent.prompt("Summarize this ticket.").send();
console.log(response.output);

Other model factories

@anvia/mistral also exposes an embedding model factory:

const embeddings = client.embeddingModel("mistral-embed");
const vectors = await embeddings.embedTexts(["Refunds take five business days."]);

Mistral also exposes OCR through client.ocrModel() for document inputs handled outside the chat model path.

Next step

Continue with Usage Patterns.