dify-oapi2 1.1.1

A package for interacting with the Dify Service-API

Dify-OAPI

A modern Python SDK for interacting with the Dify Service-API. This library provides a fluent, type-safe interface for building AI-powered applications using Dify's comprehensive API services including chat, completion, knowledge base, workflow, and chatflow features.

This project is based on https://github.com/QiMington/dify-oapi, completely refactored with modern Python practices and full support for the latest Dify API.

✨ Features

• Complete API Coverage: Chat (18 APIs), Chatflow (15 APIs), Completion (10 APIs), Knowledge Base (33 APIs), Workflow (4 APIs), and Core Dify (9 APIs)
• Builder Pattern: Fluent, chainable interface for constructing requests
• Sync & Async Support: Both synchronous and asynchronous operations
• Streaming Responses: Real-time streaming for chat and completion
• Type Safety: Comprehensive type hints with Pydantic 2.x validation
• File Upload: Support for images and documents
• Modern HTTP Client: Built on httpx for reliable API communication
• Connection Pool Optimization: Efficient TCP connection reuse to reduce resource overhead

📦 Installation

pip install dify-oapi2

Requirements: Python 3.10+

Core Dependencies:

• pydantic (^2) - Data validation and settings management with type safety
• httpx (^0) - Modern async HTTP client

Development Dependencies:

• ruff (^0) - Fast Python linter and formatter
• mypy (^1) - Static type checking
• pytest (^8) - Testing framework
• pre-commit (^4) - Git hooks for code quality
• commitizen (^4) - Semantic versioning and changelog generation
• poetry - Dependency management and packaging

🛠️ Technology Stack

• Language: Python 3.10+
• HTTP Client: httpx with connection pooling optimization
• Type System: Pydantic 2.x with comprehensive type validation
• Architecture: Builder pattern with fluent API design + Service layer pattern
• Async Support: Full async/await support with AsyncGenerator streaming
• Code Quality: Ruff (linting + formatting) + MyPy (type checking)
• Testing: pytest with async support and comprehensive coverage
• Packaging: Poetry with modern Python packaging standards
• Total Coverage: 89 API methods across 6 services with complete examples

🚀 Quick Start

Basic Usage

from dify_oapi.client import Client
from dify_oapi.core.model.request_option import RequestOption
from dify_oapi.api.chat.v1.model.chat_request import ChatRequest

# Initialize client with builder pattern
client = (
    Client.builder()
    .domain("https://api.dify.ai")
    .max_connections(100)
    .keepalive_expiry(30.0)
    .build()
)

# Create request options
req_option = RequestOption.builder().api_key("your-api-key").build()

# Use the chat API
response = client.chat.chat(
    request=ChatRequest.builder()
    .query("Hello, how are you?")
    .user("user-123")
    .build(),
    request_option=req_option
)

print(response.answer)

Comprehensive Examples

Ready to build AI-powered applications? Check out our comprehensive examples:

• Chat Examples - Interactive conversations and streaming responses
• Chatflow Examples - Enhanced chat with workflow events
• Knowledge Base Examples - Build and query knowledge bases
• Workflow Examples - Automate complex AI workflows
• Complete Examples Collection - All API services with detailed usage patterns

Each example includes complete, runnable code with detailed explanations.

🔧 API Services

Chat API (18 APIs)

Resources: annotation (6), chat (3), conversation (6), message (3)

• Interactive Chat: Send messages with blocking/streaming responses
• Conversation Management: Complete conversation lifecycle operations
• Annotation System: Create, update, delete annotations with reply settings
• Message Operations: Basic message handling and history retrieval
• Streaming Support: Real-time streaming for chat responses
• Type Safety: Comprehensive type hints with strict Literal types

Chatflow API (15 APIs)

Resources: annotation (6), chatflow (3), conversation (6)

• Enhanced Chat: Advanced chat functionality with workflow events
• Conversation Management: Complete conversation operations with variables
• Annotation System: Full annotation management and reply configuration
• Workflow Integration: Seamless integration with workflow events
• Event Streaming: Real-time streaming with comprehensive event handling
• Type Safety: Strict Literal types for all predefined values

Completion API (10 APIs)

Resources: annotation (6), completion (4)

• Text Generation: Advanced text completion and generation
• Message Processing: Send messages and control text generation
• Annotation Management: Create, update, and manage annotations
• Generation Control: Stop ongoing text generation processes
• Streaming Support: Real-time text generation with streaming responses
• Type Safety: Full type validation with Pydantic models

Knowledge Base API (33 APIs)

Resources: chunk (4), dataset (6), document (10), model (1), segment (5), tag (7)

• Dataset Management: Complete dataset CRUD operations and content retrieval
• Document Processing: File upload, text processing, and batch management
• Content Organization: Fine-grained segmentation and chunk management
• Tag System: Flexible tagging and categorization system
• Model Integration: Embedding model information and configuration
• Search & Retrieval: Advanced search with multiple retrieval strategies

Workflow API (4 APIs)

Resources: workflow (4)

• Workflow Execution: Run workflows with blocking or streaming responses
• Execution Control: Stop running workflows and monitor progress
• Log Management: Retrieve detailed execution logs and run details
• Parameter Support: Flexible workflow parameter configuration

Dify Core API (9 APIs)

Resources: audio (2), feedback (2), file (1), info (4)

• Audio Processing: Speech-to-text and text-to-speech conversion
• Feedback System: Submit and retrieve user feedback
• File Management: Unified file upload and processing
• Application Info: App configuration, parameters, and metadata access

💡 Examples

Explore comprehensive examples in the examples directory:

Chat Examples

• Chat Messages - Send messages, stop generation, get suggestions
• Conversation Management - Complete conversation operations
• Message Operations - Basic message operations
• Annotation Management - Annotation CRUD and reply settings

Note: File upload and feedback examples are available in Dify Core API as shared services.

Completion Examples

• Completion Operations - Text generation and completion
• Annotation Management - Annotation operations

Knowledge Base Examples

• Dataset Management - Complete dataset operations
• Document Processing - File upload and text processing
• Content Organization - Segment and chunk management
• Tag Management - Metadata and tagging system

Chatflow Examples

• Advanced Chat - Enhanced chat with streaming and workflow events
• Conversation Management - Complete conversation operations
• Annotation Management - Annotation CRUD and reply settings

Dify Core Examples

• Audio Processing - Speech-to-text and text-to-speech
• Feedback Management - User feedback collection
• File Management - File upload and processing
• Application Info - App configuration and metadata

Workflow Examples

• Workflow Operations - Workflow execution and management
• File Upload - File upload for workflows

For detailed examples and usage patterns, see the examples README.

🛠️ Development

Prerequisites

• Python 3.10+
• Poetry (for dependency management)
• Git (for version control)

Setup

# Clone repository
git clone https://github.com/nodite/dify-oapi2.git
cd dify-oapi2

# Setup development environment (installs dependencies and pre-commit hooks)
make dev-setup

Code Quality Tools

This project uses modern Python tooling for code quality:

• Ruff: Fast Python linter and formatter (replaces Black + isort + flake8)
• MyPy: Static type checking for type safety
• Pre-commit: Git hooks for automated code quality checks
• Poetry: Modern dependency management and packaging

# Format code
make format

# Lint code
make lint

# Fix linting issues
make fix

# Run all checks (lint + type check)
make check

# Install pre-commit hooks
make install-hooks

# Run pre-commit hooks manually
make pre-commit

Testing

# Set environment variables for integration tests
export DOMAIN="https://api.dify.ai"
export CHAT_KEY="your-chat-api-key"
export CHATFLOW_KEY="your-chatflow-api-key"
export COMPLETION_KEY="your-completion-api-key"
export DIFY_KEY="your-dify-api-key"
export WORKFLOW_KEY="your-workflow-api-key"
export KNOWLEDGE_KEY="your-knowledge-api-key"

# Run tests
make test

# Run tests with coverage
make test-cov

# Run specific test module
poetry run pytest tests/knowledge/ -v

Build & Publish

# Configure PyPI tokens (one-time setup)
poetry config http-basic.testpypi __token__ <your-testpypi-token>
poetry config http-basic.pypi __token__ <your-pypi-token>

# Build package
make build

# Publish to TestPyPI (for testing)
make publish-test

# Publish to PyPI (maintainers only)
make publish

Project Structure

dify-oapi2/
├── dify_oapi/           # Main SDK package
│   ├── api/             # API service modules
│   │   ├── chat/        # Chat API (18 APIs)
│   │   │   └── v1/      # Version 1 implementation
│   │   ├── chatflow/    # Chatflow API (15 APIs)
│   │   │   └── v1/      # Version 1 implementation
│   │   ├── completion/  # Completion API (10 APIs)
│   │   │   └── v1/      # Version 1 implementation
│   │   ├── dify/        # Core Dify API (9 APIs)
│   │   │   └── v1/      # Version 1 implementation
│   │   ├── knowledge/   # Knowledge Base API (33 APIs)
│   │   │   └── v1/      # Version 1 implementation
│   │   └── workflow/    # Workflow API (6 APIs)
│   │       └── v1/      # Version 1 implementation
│   ├── core/            # Core functionality
│   │   ├── http/        # HTTP transport layer with connection pooling
│   │   ├── model/       # Base models and configurations
│   │   └── utils/       # Utility functions
│   └── client.py        # Main client interface with builder pattern
├── docs/                # Comprehensive documentation
├── examples/            # Complete usage examples for all APIs
├── tests/               # Comprehensive test suite
├── pyproject.toml       # Project configuration (Poetry + tools)
├── Makefile            # Development automation
└── DEVELOPMENT.md      # Development guide

📖 Documentation

• Development Guide - Setup, workflow, and contribution guidelines
• Project Overview - Architecture and technical details
• API Documentation - Complete API documentation by service
• Examples - Comprehensive usage examples and patterns

🤝 Contributing

Contributions are welcome! Please follow our development workflow:

1. Fork the repository
2. Clone and checkout the main branch (git checkout main)
3. Create a feature branch from main (git checkout -b feature/amazing-feature)
4. Make your changes with comprehensive tests
5. Ensure code quality passes (make check)
6. Run the full test suite (make test)
7. Commit your changes (git commit -m 'Add amazing feature')
8. Push to the branch (git push origin feature/amazing-feature)
9. Submit a pull request to the main branch

Branch Strategy

• main - Main development branch, all development and PRs are based on this branch
• feature/* - Feature branches, created from and merged back to main
• bugfix/* - Bug fix branches, created from and merged back to main
• hotfix/* - Urgent fixes, created from and merged back to main

See DEVELOPMENT.md for detailed development guidelines.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Links

• PyPI Package: https://pypi.org/project/dify-oapi2/
• Source Code: https://github.com/nodite/dify-oapi2
• Dify Platform: https://dify.ai/
• Dify API Docs: https://docs.dify.ai/

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Keywords: dify, ai, nlp, language-processing, python-sdk, async, type-safe, api-client