deepseek_api 0.1.2

Published Aug 12, 2025

SDKflutter

Platformandroidioswindowslinuxmacosweb

A Flutter package for integrating with DeepSeek's API. Supports chat completions, model management, and streaming.

DeepSeek API

A modern Flutter package for seamless integration with DeepSeek's powerful AI APIs. Supports all major features, including chat completions, model management, and streaming.

Installation

Add the following dependency to your pubspec.yaml:

dependencies:
  deepseek_api: ^latest_version

Then run:

flutter pub get

Initialization

import 'package:deepseek_api/deepseek_api.dart';

final deepseek = DeepSeekAPI(
  apiKey: 'your-api-key',
  // Optional: baseUrl: 'https://api.deepseek.com/v1' (default)
);

🔗 Get API Key | 💵 Pricing Details

Quick Start

Basic Chat Completion

final response = await deepseek.createChatCompletion(
  ChatCompletionRequest(
    model: 'deepseek-chat',
    messages: [
      ChatMessage(
        role: 'user',
        content: 'Explain quantum computing in 50 words'
      )
    ],
    temperature: 0.7,
    maxTokens: 100,
  ),
);

print(response.choices.first.message.content);

Streaming Responses

final response = await deepseek.createChatCompletion(
  ChatCompletionRequest(
    model: 'deepseek-chat',
    messages: [/* your messages */],
    stream: true,
  ),
);

// Handle stream using Dio's response stream

Supported Models

Latest Models (2024)

Model ID	Description	Best For
`deepseek-chat`	General-purpose chat model	Everyday conversations
`deepseek-coder`	Code-focused model	Programming assistance
`deepseek-math`	Advanced mathematical reasoning	Complex calculations
`deepseek-chat-pro`	Premium chat model	Enterprise applications

🔍 Full Model List | 🔄 Model Updates

Parameters Reference

ChatCompletionRequest

Parameter	Type	Default	Description
`model`	String	Required	The model ID to use
`messages`	List	Required	Conversation history as ChatMessage objects
`temperature`	double?	1.0	Creativity control (0.0-2.0)
`maxTokens`	int?	null	Maximum number of tokens to generate
`topP`	double?	1.0	Nucleus sampling threshold (0.0-1.0)
`frequencyPenalty`	double?	0.0	Penalize new tokens based on frequency (-2.0 to 2.0)
`presencePenalty`	double?	0.0	Penalize new tokens based on presence (-2.0 to 2.0)
`stop`	List?	null	Up to 4 sequences where the API will stop generating
`stream`	bool?	false	Whether to stream back partial progress
`user`	String?	null	Unique identifier for end-user

Advanced Features

Model Management

// List all available models
final models = await deepseek.listModels();
print(models.data.map((m) => m.id).join(', '));

Error Handling

try {
  // API call
} on RateLimitException catch (e) {
  print('Slow down! ${e.message}');
} on ApiException catch (e) {
  print('API Error: ${e.message}');
} on NetworkException {
  print('Check your internet connection');
}

Custom Configuration

final customDio = Dio()
  ..interceptors.add(LogInterceptor());

final deepseek = DeepSeekAPI(
  apiKey: 'your-key',
  baseUrl: 'https://api.deepseek.com/v2', // Custom endpoint
);

API Resources

Contributing

We welcome contributions! Please:

Fork the repository
Create your feature branch
Submit a PR with tests

📌 Report Issues | 📖 View Source

Disclaimer: This package is not officially affiliated with DeepSeek. Always refer to the official API documentation for the most accurate information.

deepseek_api 0.1.2⧉