@speakeasy-sdks/mistral
v0.11.0
Published
<div align="center"> <img src="https://github.com/speakeasy-sdks/mistral-ts-sdk/assets/68016351/c75a6944-06c6-488b-82a3-789a8bda5269" width="500"> <p>Open and portable generative AI for devs and businesses</p> <a href="https://docs.mistral.a
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The Mistral Typescript library provides convenient access to the Mistral REST API from any Typescript or Javascript application. The library includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by fetch
SDK Installation
NPM
npm add @speakeasy-sdks/mistral
PNPM
pnpm add @speakeasy-sdks/mistral
Bun
bun add @speakeasy-sdks/mistral
Yarn
yarn add @speakeasy-sdks/mistral zod
# Note that Yarn does not install peer dependencies automatically. You will need
# to install zod as shown above.
Requirements
For supported JavaScript runtimes, please consult RUNTIMES.md.
SDK Example Usage
Create Chat Completions
This example shows how to create chat completions.
import { Mistral } from "@speakeasy-sdks/mistral";
const mistral = new Mistral({
apiKeyAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await mistral.chat.stream({
model: "mistral-small-latest",
messages: [
{
role: "user",
content: "Who is the best French painter? Answer in JSON.",
},
],
responseFormat: {
type: "json_object",
},
maxTokens: 512,
randomSeed: 1337,
});
for await (const event of result) {
// Handle the event
}
}
run();
Available Resources and Operations
chat
fim
- create - Create FIM Completions
embeddings
- create - Create Embeddings
models
- list - List Available Models
files
fineTuning
- listJobs - List Fine Tuning Jobs
- createJob - Create Fine Tuning Job
- getJob - Get Fine Tuning Job
- cancelJob - Cancel Fine Tuning Job
Server-sent event streaming
Server-sent events are used to stream content from certain
operations. These operations will expose the stream as an async iterable that
can be consumed using a for await...of
loop. The loop will
terminate when the server no longer has any events to send and closes the
underlying connection.
import { Mistral } from "@speakeasy-sdks/mistral";
const mistral = new Mistral({
apiKeyAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await mistral.chat.stream({
model: "mistral-small-latest",
messages: [
{
role: "user",
content: "Who is the best French painter? Answer in JSON.",
},
],
responseFormat: {
type: "json_object",
},
maxTokens: 512,
randomSeed: 1337,
});
for await (const event of result) {
// Handle the event
}
}
run();
Error Handling
All SDK methods return a response object or throw an error. If Error objects are specified in your OpenAPI Spec, the SDK will throw the appropriate Error type.
| Error Object | Status Code | Content Type | | -------------------------- | -------------------------- | -------------------------- | | models.BadRequest | 400 | application/json | | models.Unauthorized | 401 | application/json | | models.Forbidden | 403 | application/json | | models.NotFound | 404 | application/json | | models.TooManyRequests | 429 | application/json | | models.InternalServerError | 500 | application/json | | models.ServiceUnavailable | 503 | application/json | | models.SDKError | 4xx-5xx | / |
Validation errors can also occur when either method arguments or data returned from the server do not match the expected format. The SDKValidationError
that is thrown as a result will capture the raw value that failed validation in an attribute called rawValue
. Additionally, a pretty()
method is available on this error that can be used to log a nicely formatted string since validation errors can list many issues and the plain error string may be difficult read when debugging.
import { Mistral } from "@speakeasy-sdks/mistral";
import { SDKValidationError } from "@speakeasy-sdks/mistral/models";
const mistral = new Mistral({
apiKeyAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
let result;
try {
result = await mistral.chat.stream({
model: "mistral-small-latest",
messages: [
{
role: "user",
content: "Who is the best French painter? Answer in JSON.",
},
],
responseFormat: {
type: "json_object",
},
maxTokens: 512,
randomSeed: 1337,
});
} catch (err) {
switch (true) {
case err instanceof SDKValidationError: {
// Validation errors can be pretty-printed
console.error(err.pretty());
// Raw value may also be inspected
console.error(err.rawValue);
return;
}
case err instanceof models.BadRequest: {
console.error(err); // handle exception
return;
}
case err instanceof models.Unauthorized: {
console.error(err); // handle exception
return;
}
case err instanceof models.Forbidden: {
console.error(err); // handle exception
return;
}
case err instanceof models.NotFound: {
console.error(err); // handle exception
return;
}
case err instanceof models.TooManyRequests: {
console.error(err); // handle exception
return;
}
case err instanceof models.InternalServerError: {
console.error(err); // handle exception
return;
}
case err instanceof models.ServiceUnavailable: {
console.error(err); // handle exception
return;
}
default: {
throw err;
}
}
}
for await (const event of result) {
// Handle the event
}
}
run();
Azure AI
Prerequisites
Before you begin, ensure you have AZUREAI_ENDPOINT
and an AZURE_API_KEY
. To obtain these, you will need to deploy Mistral on Azure AI.
See instructions for deploying Mistral on Azure AI here.
Step 1: Install
Install @speakeasy-sdks/mistral-azure
using npm:
npm install @speakeasy-sdks/mistral-azure
Step 2: Example Usage
Here's a basic example to get you started. You can also run the example in the examples
directory.
import {
MistralAzure,
ChatCompletionRole,
} from "@speakeasy-sdks/mistral-azure";
const sdk = new MistralAzure({
apiKey: "azureAPIKey",
endpoint: "azureEndpoint",
});
const chatResult = await sdk.chat.create({
messages: [
{
role: ChatCompletionRole.User,
content: "What is the best French cheese ?",
},
],
});
Google Cloud
Prerequisites
Before you begin, you will need to create a Google Cloud project and enable the Mistral API. To do this, follow the instructions here.
To run this locally you will also need to ensure you are authenticated with Google Cloud. You can do this by running
gcloud auth application-default login
Step 1: Install
Install @speakeasy-sdks/mistral-google-cloud
using npm:
npm install @speakeasy-sdks/mistral-google-cloud
Step 2: Example Usage
Here's a basic example to get you started. You can also run the example in the examples
directory.
import {
MistralGoogleCloud,
ChatCompletionRole,
} from "@speakeasy-sdks/mistral-google-cloud";
const sdk = new MistralGoogleCloud();
const chatResult = await sdk.chat.create({
model: "mistral-small",
modelVersion: "2402",
messages: [
{
role: ChatCompletionRole.User,
content: "What is the best French cheese ?",
},
],
});
console.log("Success", chatResult);
Server Selection
Select Server by Name
You can override the default server globally by passing a server name to the server
optional parameter when initializing the SDK client instance. The selected server will then be used as the default on the operations that use it. This table lists the names associated with the available servers:
| Name | Server | Variables |
| ----- | ------ | --------- |
| prod
| https://api.mistral.ai/v1
| None |
import { Mistral } from "@speakeasy-sdks/mistral";
const mistral = new Mistral({
server: "prod",
apiKeyAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await mistral.chat.stream({
model: "mistral-small-latest",
messages: [
{
role: "user",
content: "Who is the best French painter? Answer in JSON.",
},
],
responseFormat: {
type: "json_object",
},
maxTokens: 512,
randomSeed: 1337,
});
for await (const event of result) {
// Handle the event
}
}
run();
Override Server URL Per-Client
The default server can also be overridden globally by passing a URL to the serverURL
optional parameter when initializing the SDK client instance. For example:
import { Mistral } from "@speakeasy-sdks/mistral";
const mistral = new Mistral({
serverURL: "https://api.mistral.ai/v1",
apiKeyAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await mistral.chat.stream({
model: "mistral-small-latest",
messages: [
{
role: "user",
content: "Who is the best French painter? Answer in JSON.",
},
],
responseFormat: {
type: "json_object",
},
maxTokens: 512,
randomSeed: 1337,
});
for await (const event of result) {
// Handle the event
}
}
run();
Custom HTTP Client
The TypeScript SDK makes API calls using an HTTPClient
that wraps the native
Fetch API. This
client is a thin wrapper around fetch
and provides the ability to attach hooks
around the request lifecycle that can be used to modify the request or handle
errors and response.
The HTTPClient
constructor takes an optional fetcher
argument that can be
used to integrate a third-party HTTP client or when writing tests to mock out
the HTTP client and feed in fixtures.
The following example shows how to use the "beforeRequest"
hook to to add a
custom header and a timeout to requests and how to use the "requestError"
hook
to log errors:
import { Mistral } from "@speakeasy-sdks/mistral";
import { HTTPClient } from "@speakeasy-sdks/mistral/lib/http";
const httpClient = new HTTPClient({
// fetcher takes a function that has the same signature as native `fetch`.
fetcher: (request) => {
return fetch(request);
}
});
httpClient.addHook("beforeRequest", (request) => {
const nextRequest = new Request(request, {
signal: request.signal || AbortSignal.timeout(5000)
});
nextRequest.headers.set("x-custom-header", "custom value");
return nextRequest;
});
httpClient.addHook("requestError", (error, request) => {
console.group("Request Error");
console.log("Reason:", `${error}`);
console.log("Endpoint:", `${request.method} ${request.url}`);
console.groupEnd();
});
const sdk = new Mistral({ httpClient });
Authentication
Per-Client Security Schemes
This SDK supports the following security scheme globally:
| Name | Type | Scheme |
| ------------ | ------------ | ------------ |
| apiKeyAuth
| http | HTTP Bearer |
To authenticate with the API the apiKeyAuth
parameter must be set when initializing the SDK client instance. For example:
import { Mistral } from "@speakeasy-sdks/mistral";
const mistral = new Mistral({
apiKeyAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await mistral.chat.stream({
model: "mistral-small-latest",
messages: [
{
role: "user",
content: "Who is the best French painter? Answer in JSON.",
},
],
responseFormat: {
type: "json_object",
},
maxTokens: 512,
randomSeed: 1337,
});
for await (const event of result) {
// Handle the event
}
}
run();
File uploads
Certain SDK methods accept files as part of a multi-part request. It is possible and typically recommended to upload files as a stream rather than reading the entire contents into memory. This avoids excessive memory consumption and potentially crashing with out-of-memory errors when working with very large files. The following example demonstrates how to attach a file stream to a request.
[!TIP]
Depending on your JavaScript runtime, there are convenient utilities that return a handle to a file without reading the entire contents into memory:
- Node.js v20+: Since v20, Node.js comes with a native
openAsBlob
function innode:fs
.- Bun: The native
Bun.file
function produces a file handle that can be used for streaming file uploads.- Browsers: All supported browsers return an instance to a
File
when reading the value from an<input type="file">
element.- Node.js v18: A file stream can be created using the
fileFrom
helper fromfetch-blob/from.js
.
import { Mistral } from "@speakeasy-sdks/mistral";
import { openAsBlob } from "node:fs";
const mistral = new Mistral({
apiKeyAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await mistral.files.upload({
file: await openAsBlob("./sample-file"),
});
// Handle the result
console.log(result);
}
run();
Retries
Some of the endpoints in this SDK support retries. If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API. However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.
To change the default retry strategy for a single API call, simply provide a retryConfig object to the call:
import { Mistral } from "@speakeasy-sdks/mistral";
const mistral = new Mistral({
apiKeyAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await mistral.chat.stream(
{
model: "mistral-small-latest",
messages: [
{
role: "user",
content: "Who is the best French painter? Answer in JSON.",
},
],
responseFormat: {
type: "json_object",
},
maxTokens: 512,
randomSeed: 1337,
},
{
retries: {
strategy: "backoff",
backoff: {
initialInterval: 1,
maxInterval: 50,
exponent: 1.1,
maxElapsedTime: 100,
},
retryConnectionErrors: false,
},
}
);
for await (const event of result) {
// Handle the event
}
}
run();
If you'd like to override the default retry strategy for all operations that support retries, you can provide a retryConfig at SDK initialization:
import { Mistral } from "@speakeasy-sdks/mistral";
const mistral = new Mistral({
retryConfig: {
strategy: "backoff",
backoff: {
initialInterval: 1,
maxInterval: 50,
exponent: 1.1,
maxElapsedTime: 100,
},
retryConnectionErrors: false,
},
apiKeyAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await mistral.chat.stream({
model: "mistral-small-latest",
messages: [
{
role: "user",
content: "Who is the best French painter? Answer in JSON.",
},
],
responseFormat: {
type: "json_object",
},
maxTokens: 512,
randomSeed: 1337,
});
for await (const event of result) {
// Handle the event
}
}
run();
Development
Maturity
This SDK is in beta, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning usage to a specific package version. This way, you can install the same version each time without breaking changes unless you are intentionally looking for the latest version.
Contributions
While we value open-source contributions to this SDK, this library is generated programmatically. Feel free to open a PR or a Github issue as a proof of concept and we'll do our best to include it in a future release!