Mistral AI client for Dart (Deprecated)
⚠️ Deprecation Notice
This library is deprecated and no longer maintained.
We recommend migrating to actively maintained alternatives for continued support and updates.
Description
This is an unofficial Dart/Flutter client for the Mistral AI API.
Installation
dart pub add mistralai_client_dart
Usage
Create client
import 'package:mistralai_client_dart/mistralai_client_dart.dart' ;
final client = MistralAIClient (apiKey: 'your api key here' );
List models
final modelsResult = await client.listModels ();
final models = modelsResult.data?.map ((e) => e.id).toList ();
print (models?.join (', ' ));
Chat
const request = ChatCompletionRequest (
model: 'mistral-small-latest' ,
messages: [
UserMessage (content: UserMessageContent .string ('Hello chat!' )),
],
);
final chatCompletion = await client.chatComplete (request: request);
final chatMessage = chatCompletion.choices?[0 ].message;
print (chatMessage?.content);
Chat stream
final stream = client.chatStream (request: request);
await for (final completionChunk in stream) {
final chatMessage = completionChunk.choices[0 ].delta.content;
if (chatMessage != null ) {
print (chatMessage);
}
}
Embeddings
final embeddings = await client.createEmbeddings (
request: const EmbeddingRequest (
model: 'mistral-embed' ,
input: EmbeddingRequestInput .arrayString (['Hello chat!' ]),
),
);
for (final data in embeddings.data) {
print ('Embeddings: ${data.embedding} ' );
}
Function calling
Check examples:
Files
Check examples:
Fine-tuning Jobs
Check examples:
Fill in the middle completion
Check examples:
Agents
Check examples:
Moderation
Check examples:
Resources
You can check the official Mistral AI docs .
Contributing
For contributing guide please see CONTRIBUTING.md .
Flutter Flow (deprecated)
For Flutter Flow integration please use the mistralai_client_dart_flutter_flow package.
It's a version of this package that is adapted to work with Flutter Flow.
Aknowledgements
Part of the code was generated thx to openapi_spec package.