flint_client 0.0.5

A powerful, type-safe Dart client with HTTP, WebSocket, caching, retry, and AI provider support.

flint_client

Official Dart client for the Flint ecosystem.

flint_client gives you one package for:

• HTTP requests with typed parsing
• retry and cache support
• file upload and download helpers
• WebSocket communication
• AI provider integrations for OpenAI, Gemini, and Hugging Face

Installation

From pub.dev:

dart pub add flint_client

For Flutter:

flutter pub add flint_client

Or add it manually:

dependencies:
  flint_client: ^0.0.3+337

Quick Start

import 'package:flint_client/flint_client.dart';

Future<void> main() async {
  final client = FlintClient(
    baseUrl: 'https://api.example.com',
    debug: true,
  );

  final response = await client.get<Map<String, dynamic>>('/health');

  if (response.isSuccess) {
    print(response.data);
  } else {
    print(response.error?.message);
  }

  client.dispose();
}

Core Features

• Typed request and response handling
• Configurable retry policies
• In-memory caching with TTL controls
• Request and response lifecycle hooks
• Multipart uploads and file downloads
• WebSocket helpers through client.wc(...)
• AI providers with shared request flow and response helpers

AI Support

The package exports built-in AI providers so you can talk to model APIs using the same Flint request stack.

Available Providers

• OpenAIProvider
• GeminiProvider
• HuggingFaceProvider

AI Quick Start

import 'package:flint_client/flint_client.dart';

Future<void> main() async {
  final gemini = GeminiProvider(apiKey: 'YOUR_GEMINI_KEY');

  gemini.addContextMemory(
    'You are helping users understand the Flint Dart ecosystem.',
  );

  final response = await gemini.request(
    model: 'gemini-2.5-flash',
    prompt: 'Summarize what Flint Client does in one paragraph.',
  );

  final parsed = GeminiResponse.fromJson(response.data);
  print(parsed.text);
}

How To Use AI In flint_client

1. Create a provider with your API key.
2. Optionally add context with addContextMemory(...).
3. Call request(...) with a model name and prompt.
4. Parse the raw response with the matching response helper.
5. Reuse the same provider if you want conversation history preserved.

OpenAI Example

import 'package:flint_client/flint_client.dart';

Future<void> main() async {
  final openAI = OpenAIProvider(apiKey: 'YOUR_OPENAI_KEY');

  final response = await openAI.request(
    model: 'gpt-4o-mini',
    prompt: 'Write a short welcome message for Flint users.',
  );

  final parsed = OpenAIResponse.fromJson(response.data);
  print(parsed.text);
}

Gemini Example

import 'package:flint_client/flint_client.dart';

Future<void> main() async {
  final gemini = GeminiProvider(apiKey: 'YOUR_GEMINI_KEY');

  final response = await gemini.request(
    model: 'gemini-2.5-flash',
    prompt: 'Explain caching in simple terms.',
    includeHistory: true,
    includeContext: true,
    maxTokens: 300,
  );

  final parsed = GeminiResponse.fromJson(response.data);
  print(parsed.text);
}

Hugging Face Example

import 'package:flint_client/flint_client.dart';

Future<void> main() async {
  final hf = HuggingFaceProvider(apiKey: 'YOUR_HF_KEY');

  final response = await hf.request(
    model: 'gpt2',
    prompt: 'Generate a short API product tagline.',
  );

  final parsed = HuggingFaceResponse.fromJson(response.data);
  print(parsed.generatedText);
}

AI Notes

• AIProvider keeps in-memory history on the provider instance.
• resetHistory() clears conversation history.
• clearContextMemory() removes stored context snippets.
• includeHistory and includeContext let you control what gets sent.
• The raw provider response is still available through response.data.

HTTP Usage

GET With Parsing

final response = await client.get<User>(
  '/users/1',
  parser: (json) => User.fromJson(json),
);

POST JSON

final response = await client.post<Map<String, dynamic>>(
  '/products',
  body: {
    'title': 'New Product',
    'price': 29.99,
  },
);

QUERY JSON

HTTP QUERY is defined by RFC 10008. It is safe and idempotent like GET, but it can send request content like POST. Use it for complex search/filter requests that should not mutate server state.

final response = await client.query<Map<String, dynamic>>(
  '/products/search',
  queryParameters: {'page': 1},
  body: {
    'category': 'electronics',
    'minimumPrice': 50000,
    'inStock': true,
  },
);

queryParameters still become URI query string values. body is QUERY request content and uses the same JSON, text, form, timeout, interceptor, retry, cache, and parsing pipeline as the other request methods. QUERY is included in the default idempotent retry method set when retries are enabled.

Compatibility note: some proxies, browsers, servers, API gateways, and API tools may not support QUERY yet. See RFC 10008: https://www.rfc-editor.org/rfc/rfc10008.html.

Retry Configuration

final response = await client.get<String>(
  '/retry-test',
  retryConfig: RetryConfig(
    maxAttempts: 3,
    delay: Duration(seconds: 1),
    maxDelay: Duration(seconds: 10),
    retryStatusCodes: {500, 502, 503},
  ),
);

Cache Configuration

final response = await client.get<List<dynamic>>(
  '/products',
  cacheConfig: CacheConfig(
    maxAge: Duration(minutes: 10),
    forceRefresh: false,
  ),
);

File Upload

final response = await client.uploadFile<Map<String, dynamic>>(
  '/upload',
  fileField: 'image',
  file: File('path/to/image.jpg'),
);

WebSocket Usage

final ws = client.wc('/chat');

ws.on('connected', (_) => print('connected'));
ws.on('message', (data) => print(data));
ws.emit('send_message', {'text': 'Hello'});

Links

• Package page: https://pub.dev/packages/flint_client
• AI docs in this README: https://github.com/flint-dart/flint-client#ai-support
• Full docs: https://flintdart.dev/docs/client
• Repository: https://github.com/flint-dart/flint-client
• Examples: https://github.com/flint-dart/flint-client/tree/main/example
• AI example file: https://github.com/flint-dart/flint-client/blob/main/example/lib/main.dart
• Issue tracker: https://github.com/flint-dart/flint-client/issues

Development

dart pub get
dart test

License

This project is licensed under the MIT License. See LICENSE.