iflow-sdk 0.1.0

Python SDK for iFlow CLI - AI Agent Integration

iFlow Python SDK

A powerful Python SDK for interacting with iFlow CLI using the Agent Communication Protocol (ACP). Build AI-powered applications with full control over conversations, tool execution, and SubAgent orchestration.

✨ Key Feature: The SDK automatically manages the iFlow process - no manual setup required!

Features

• 🚀 Automatic Process Management - Zero-config setup! SDK auto-starts and manages iFlow CLI
• 🔌 Smart Port Detection - Automatically finds available ports, no conflicts
• 🔄 Bidirectional Communication - Real-time streaming of messages and responses
• 🛠️ Tool Call Management - Handle and control tool executions with fine-grained permissions
• 🤖 SubAgent Support - Track and manage multiple AI agents with agent_id propagation
• 📋 Task Planning - Receive and process structured task plans
• 🔍 Raw Data Access - Debug and inspect protocol-level messages
• ⚡ Async/Await Support - Modern asynchronous Python with full type hints
• 🎯 Simple & Advanced APIs - From one-line queries to complex conversation management
• 📦 Full ACP v1 Protocol - Complete implementation of the Agent Communication Protocol

Installation

1. Install iFlow CLI

If you haven't installed iFlow CLI yet:

Mac/Linux/Ubuntu:

bash -c "$(curl -fsSL https://gitee.com/iflow-ai/iflow-cli/raw/main/install.sh)"

Windows:

npm install -g @iflow-ai/iflow-cli@latest

2. Install the SDK

From source (currently the only method):

git clone https://github.com/yourusername/iflow-cli-sdk-python.git
cd iflow-cli-sdk-python
pip install -e .

Coming soon to PyPI:

# Will be available after publishing to PyPI
pip install iflow-cli-sdk

Quick Start

The SDK automatically manages the iFlow process - no manual setup required!

Default Usage (Automatic Process Management)

import asyncio
from src.iflow_sdk import IFlowClient

async def main():
    # SDK automatically:
    # 1. Detects if iFlow is installed
    # 2. Starts iFlow process if not running
    # 3. Finds an available port
    # 4. Cleans up on exit
    async with IFlowClient() as client:
        await client.send_message("Hello, iFlow!")
        
        async for message in client.receive_messages():
            print(message)
            # Process messages...

asyncio.run(main())

No need to manually start iFlow! The SDK handles everything for you.

Advanced: Manual Process Control

If you need to manage iFlow yourself (rare cases):

import asyncio
from src.iflow_sdk import IFlowClient, IFlowOptions

async def main():
    # Disable automatic process management
    options = IFlowOptions(
        auto_start_process=False,
        url="ws://localhost:8090/acp"  # Connect to existing iFlow
    )
    
    async with IFlowClient(options) as client:
        await client.send_message("Hello, iFlow!")

asyncio.run(main())

Note: Manual mode requires you to start iFlow separately:

iflow --experimental-acp --port 8090

Simple Examples

Simple Query

import asyncio
from src.iflow_sdk import query

async def main():
    response = await query("What is the capital of France?")
    print(response)  # "The capital of France is Paris."

asyncio.run(main())

Interactive Conversation

import asyncio
from src.iflow_sdk import IFlowClient, AssistantMessage, TaskFinishMessage

async def chat():
    async with IFlowClient() as client:
        await client.send_message("Explain quantum computing")
        
        async for message in client.receive_messages():
            if isinstance(message, AssistantMessage):
                print(message.chunk.text, end="", flush=True)
            elif isinstance(message, TaskFinishMessage):
                break

asyncio.run(chat())

Tool Call Control

import asyncio
from src.iflow_sdk import IFlowClient, IFlowOptions, PermissionMode, ToolCallMessage, TaskFinishMessage

async def main():
    options = IFlowOptions(permission_mode=PermissionMode.CONFIRM)
    
    async with IFlowClient(options) as client:
        await client.send_message("Create a file called test.txt")
        
        async for message in client.receive_messages():
            if isinstance(message, ToolCallMessage):
                print(f"Tool requested: {message.label}")
                # Tool calls are handled automatically based on permission_mode
            elif isinstance(message, TaskFinishMessage):
                break

asyncio.run(main())

API Reference

Core Classes

• IFlowClient: Main client for bidirectional communication
• IFlowOptions: Configuration options
• RawDataClient: Access to raw protocol data

Message Types

• AssistantMessage: AI assistant responses
• ToolCallMessage: Tool execution requests
• PlanMessage: Structured task plans
• TaskFinishMessage: Task completion signal

Convenience Functions

• query(prompt): Simple synchronous query
• query_stream(prompt): Streaming responses
• query_sync(prompt): Synchronous with timeout

Project Structure

iflow-sdk-python/
├── src/iflow_sdk/
│   ├── __init__.py          # Public API exports
│   ├── client.py            # Main IFlowClient implementation
│   ├── query.py             # Simple query functions
│   ├── types.py             # Type definitions and messages
│   ├── raw_client.py        # Raw protocol access
│   └── _internal/
│       ├── protocol.py      # ACP protocol handler
│       ├── transport.py     # WebSocket transport layer
│       └── launcher.py      # iFlow process management
├── tests/                   # Test suite
│   ├── test_basic.py        # Basic functionality tests
│   └── test_protocol.py     # Protocol compliance tests
├── examples/                # Usage examples
│   ├── comprehensive_demo.py
│   ├── quick_start.py
│   └── advanced_client.py
└── docs/                    # Documentation

Development

Running Tests

# Run all tests
pytest tests/

# Run with coverage
pytest tests/ --cov=src/iflow_sdk

# Run specific test
pytest tests/test_basic.py

Code Quality

# Format code
black src/ tests/

# Sort imports
isort src/ tests/

# Check style
flake8 src/ tests/

Protocol Support

The SDK implements the Agent Communication Protocol (ACP) v1, supporting:

• Session Management: Create, load, and manage conversation sessions
• Message Types:
  • agent_message_chunk - Assistant responses
  • agent_thought_chunk - Internal reasoning
  • tool_call / tool_call_update - Tool execution lifecycle
  • plan - Structured task planning
  • user_message_chunk - User message echoing
• Authentication: Built-in iFlow authentication
• File System Access: Read/write file permissions
• SubAgent Support: Full agent_id tracking and management

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

License

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

Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions

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