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

Create a provider with your API key.
Optionally add context with addContextMemory(...).
Call request(...) with a model name and prompt.
Parse the raw response with the matching response helper.
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,
  },
);

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'});

Development

dart pub get
dart test

License

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