euriai 1.0.32

Python client for Euri API (euron.one) with CLI, LangChain, and LlamaIndex integration

Euri AI Python SDK

A comprehensive Python SDK for the Euri AI API with integrations for popular AI frameworks.

Installation

Basic Installation

pip install euriai

With Optional Integrations

# Install specific integrations
pip install euriai[autogen]    # AutoGen integration
pip install euriai[crewai]     # CrewAI integration  
pip install euriai[langchain]  # LangChain integration
pip install euriai[smolagents] # SmolAgents integration
pip install euriai[langgraph]  # LangGraph integration
pip install euriai[llama-index] # LlamaIndex integration

# Install all integrations
pip install euriai[all]

Quick Start

Basic Usage

from euriai import EuriaiClient

# Initialize client
client = EuriaiClient(
    api_key="your-euri-api-key",
    model="gpt-4.1-nano"
)

# Generate completion
response = client.generate_completion(
    prompt="What is artificial intelligence?",
    temperature=0.7,
    max_tokens=1000
)

print(response["choices"][0]["message"]["content"])

Framework Integrations

The SDK provides seamless integrations with popular AI frameworks. Each integration is optional and can be installed separately.

AutoGen Integration

# Enhanced AutoGen support - works with both v0.2.x and v0.4+
from euriai.autogen import EuriaiAutoGen

autogen = EuriaiAutoGen(
    api_key="your-euri-api-key",
    default_model="gpt-4.1-nano"
)

# Check version and capabilities
version_info = autogen.get_version_info()
print(f"AutoGen version: {version_info['detected_version']}")
print(f"Teams support: {version_info['capabilities']['teams']}")

CrewAI Integration

from euriai.crewai import EuriaiCrewAI

crew = EuriaiCrewAI(
    api_key="your-euri-api-key",
    default_model="gpt-4.1-nano"
)

LangChain Integration

from euriai.langchain import EuriaiChatModel

chat_model = EuriaiChatModel(
    api_key="your-euri-api-key",
    model="gpt-4.1-nano"
)

Handling Optional Dependencies

If you try to use an integration without installing its dependencies, you'll get helpful error messages:

try:
    from euriai.autogen import EuriaiAutoGen
except ImportError as e:
    print(e)
    # This will show:
    # AutoGen is not installed. Please install it using one of these methods:
    # 
    # Option 1 (Recommended): Install with euriai extras:
    #   pip install euriai[autogen]
    # 
    # Option 2: Install AutoGen directly:
    #   pip install pyautogen
    # 
    # Option 3: Install all euriai integrations:
    #   pip install euriai[all]

Semi-Automatic Installation (Optional)

For convenience, you can use the helper function to prompt for automatic installation:

from euriai import install_optional_dependency

# This will ask user permission before installing
if install_optional_dependency("pyautogen", "AutoGen", "autogen"):
    from euriai.autogen import EuriaiAutoGen
    # Now you can use AutoGen integration

Available Models

• gpt-4.1-nano - Fast and efficient model
• gpt-4.1-mini - Balanced performance model
• gemini-2.5-flash - Google's Gemini model
• And more...

Framework Support

Framework	Installation	Description
AutoGen	pip install euriai[autogen]	Multi-agent conversation framework
CrewAI	pip install euriai[crewai]	Role-playing AI agent framework
LangChain	pip install euriai[langchain]	Building applications with LLMs
LangGraph	pip install euriai[langgraph]	Building stateful, multi-actor applications
SmolAgents	pip install euriai[smolagents]	Minimalist agent framework
LlamaIndex	pip install euriai[llama-index]	Data framework for LLM applications

Examples

AutoGen Multi-Agent Chat

from euriai.autogen import EuriaiAutoGen

autogen = EuriaiAutoGen(api_key="your-api-key")

assistant = autogen.create_assistant_agent(
    name="Assistant",
    model="gpt-4.1-nano"
)

user_proxy = autogen.create_user_proxy_agent(
    name="User",
    human_input_mode="NEVER"
)

result = autogen.run_chat(
    agent1=user_proxy,
    agent2=assistant,
    message="Explain quantum computing",
    max_turns=3
)

CrewAI Workflow

from euriai.crewai import EuriaiCrewAI

crew = EuriaiCrewAI(api_key="your-api-key")

crew.add_agent("researcher", {
    "role": "Researcher",
    "goal": "Research {topic}",
    "backstory": "Expert researcher with analytical skills",
    "model": "gpt-4.1-nano"
})

crew.add_task("research_task", {
    "description": "Research the given topic",
    "expected_output": "Comprehensive research report",
    "agent": "researcher"
})

result = crew.run(inputs={"topic": "AI in Healthcare"})

API Reference

For detailed API documentation, visit: https://euron.one/euri

Support

• Documentation: https://docs.euron.one
• GitHub: https://github.com/euri-ai/euriai-python-sdk
• Email: [e-mail]

License

MIT License - see LICENSE file for details.