agora-rest-client-python 0.1.0

Python client for Agora REST APIs

Agora REST Client - Python

Python SDK for Agora REST APIs, including Conversational AI Agent management.

Features

• 🤖 High-level Agent API - Simple interface for managing Agora Conversational AI Agents
• 🔧 Configuration Management - Easy configuration from environment variables
• 🎯 Type-safe - Full type hints support
• 📦 Lightweight - Minimal dependencies
• 🚀 Production-ready - Built for reliability and performance

Installation

From PyPI (Recommended)

pip install agora-rest-client-python

From Git Repository

pip install git+https://github.com/your-org/agora-rest-client-python.git

For Development

git clone https://github.com/your-org/agora-rest-client-python.git
cd agora-rest-client-python
pip install -e .

Quick Start

1. Set up environment variables

Create a .env file:

# Agora Configuration
APP_ID=your_app_id
APP_CERTIFICATE=your_app_certificate

# Agora REST API Credentials
API_KEY=your_customer_id
API_SECRET=your_customer_secret

# LLM - OpenAI
LLM_API_KEY=your_openai_key

# ASR - Deepgram (Optional)
ASR_DEEPGRAM_API_KEY=your_deepgram_key

# TTS - ElevenLabs (Optional)
TTS_ELEVENLABS_API_KEY=your_elevenlabs_key

# Server Configuration (Optional)
PORT=8000

2. Initialize and use the Agent

from agora_rest import AgentConfig, AgentManager

# Load configuration from environment
config = AgentConfig.from_env()

# Create agent manager
manager = AgentManager(config)

# Generate connection configuration
config_data = manager.generate_config()
print(f"Channel: {config_data['channel_name']}")
print(f"Token: {config_data['token']}")

# Start an agent
result = manager.start_agent(
    channel_name=config_data['channel_name'],
    agent_uid=config_data['agent_uid'],
    user_uid=config_data['uid'],
    asr_config={
        "vendor": "deepgram",
        "api_key": config.deepgram_api_key,
    },
    llm_config={
        "url": "https://api.openai.com/v1",
        "api_key": config.llm_api_key,
        "model": "gpt-4",
    },
    tts_config={
        "vendor": "elevenlabs",
        "api_key": config.tts_elevenlabs_api_key,
    }
)

print(f"Agent started: {result['agent_id']}")

# Stop the agent
manager.stop_agent(result['agent_id'])
print("Agent stopped")

Configuration

Environment Variables

Variable	Description	Required
APP_ID	Agora App ID	Yes
APP_CERTIFICATE	Agora App Certificate	Yes
API_KEY	Agora REST API Customer ID	Yes
API_SECRET	Agora REST API Customer Secret	Yes
LLM_API_KEY	OpenAI LLM API key	Yes
ASR_DEEPGRAM_API_KEY	Deepgram ASR API key	Optional
TTS_ELEVENLABS_API_KEY	ElevenLabs TTS API key	Optional
PORT	Server port (default: 8000)	Optional

Configuration from Code

from agora_rest import AgentConfig

config = AgentConfig(
    app_id="your_app_id",
    app_certificate="your_certificate",
    customer_id="your_customer_id",  # API_KEY
    customer_secret="your_customer_secret",  # API_SECRET
    llm_api_key="your_openai_key",
    deepgram_api_key="your_deepgram_key",  # Optional
    tts_elevenlabs_api_key="your_elevenlabs_key",  # Optional
)

API Reference

AgentConfig

Configuration management for Agora services.

# Load from environment
config = AgentConfig.from_env()

# Load from custom .env file
config = AgentConfig.from_env(env_file="/path/to/.env")

# Create manually
config = AgentConfig(
    app_id="...",
    app_certificate="...",
    customer_id="...",  # API_KEY
    customer_secret="...",  # API_SECRET
    llm_api_key="...",
    # Optional
    deepgram_api_key="...",
    tts_elevenlabs_api_key="...",
)

AgentManager

Core business logic for agent operations.

manager = AgentManager(config)

# Generate connection configuration
config_data = manager.generate_config()

# Start an agent
result = manager.start_agent(
    channel_name="my_channel",
    agent_uid="123",
    user_uid="456",
    asr_config={...},
    llm_config={...},
    tts_config={...}
)

# Stop an agent
manager.stop_agent(agent_id)

Configuration Components

from agora_rest.agent import ASRConfig, LLMConfig, TTSConfig

# ASR Configuration (Deepgram) - uses defaults
asr = ASRConfig(api_key="your_deepgram_key")

# LLM Configuration (OpenAI) - uses defaults
llm = LLMConfig(api_key="your_openai_key")

# TTS Configuration (ElevenLabs) - uses defaults
tts = TTSConfig(api_key="your_elevenlabs_key")

# Optional: Customize if needed
# llm.model = "gpt-4o"
# llm.system_message = "You are a helpful assistant"
# asr.language = "zh-CN"

Supported Vendors

ASR (Automatic Speech Recognition)

• ✅ Deepgram

LLM (Large Language Model)

• ✅ OpenAI (GPT-4, GPT-3.5)

TTS (Text-to-Speech)

• ✅ ElevenLabs

Examples

See the examples directory for more usage examples.

Requirements

• Python >= 3.8
• Dependencies listed in requirements.txt

Development

Setup Development Environment

# Clone repository
git clone https://github.com/your-org/agora-rest-client-python.git
cd agora-rest-client-python

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Install in editable mode
pip install -e .

Running Tests

pytest

Code Style

# Format code
black .

# Lint code
flake8 .

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Support

• 📧 Email: [e-mail]
• 📖 Documentation: Agora Docs
• 💬 Community: Agora Community

Changelog

See CHANGELOG.md for version history.