# Euri AI Python SDK
A comprehensive Python SDK for the Euri AI API with integrations for popular AI frameworks.
## Installation
### Basic Installation
```bash
pip install euriai
```
### With Optional Integrations
```bash
# 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
```python
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
```python
# 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
```python
from euriai.crewai import EuriaiCrewAI
crew = EuriaiCrewAI(
api_key="your-euri-api-key",
default_model="gpt-4.1-nano"
)
```
#### LangChain Integration
```python
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:
```python
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:
```python
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
```python
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
```python
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](https://euron.one/euri)
## Support
- **Documentation**: [https://docs.euron.one](https://euron.one/euri)
- **GitHub**: [https://github.com/euri-ai/euriai-python-sdk](https://github.com/euri-ai/euriai-python-sdk)
- **Email**: tech@euron.one
## License
MIT License - see LICENSE file for details.
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"description": "# Euri AI Python SDK\n\nA comprehensive Python SDK for the Euri AI API with integrations for popular AI frameworks.\n\n## Installation\n\n### Basic Installation\n```bash\npip install euriai\n```\n\n### With Optional Integrations\n```bash\n# Install specific integrations\npip install euriai[autogen] # AutoGen integration\npip install euriai[crewai] # CrewAI integration \npip install euriai[langchain] # LangChain integration\npip install euriai[smolagents] # SmolAgents integration\npip install euriai[langgraph] # LangGraph integration\npip install euriai[llama-index] # LlamaIndex integration\n\n# Install all integrations\npip install euriai[all]\n```\n\n## Quick Start\n\n### Basic Usage\n```python\nfrom euriai import EuriaiClient\n\n# Initialize client\nclient = EuriaiClient(\n api_key=\"your-euri-api-key\",\n model=\"gpt-4.1-nano\"\n)\n\n# Generate completion\nresponse = client.generate_completion(\n prompt=\"What is artificial intelligence?\",\n temperature=0.7,\n max_tokens=1000\n)\n\nprint(response[\"choices\"][0][\"message\"][\"content\"])\n```\n\n### Framework Integrations\n\nThe SDK provides seamless integrations with popular AI frameworks. Each integration is optional and can be installed separately.\n\n#### AutoGen Integration\n```python\n# Enhanced AutoGen support - works with both v0.2.x and v0.4+\nfrom euriai.autogen import EuriaiAutoGen\n\nautogen = EuriaiAutoGen(\n api_key=\"your-euri-api-key\",\n default_model=\"gpt-4.1-nano\"\n)\n\n# Check version and capabilities\nversion_info = autogen.get_version_info()\nprint(f\"AutoGen version: {version_info['detected_version']}\")\nprint(f\"Teams support: {version_info['capabilities']['teams']}\")\n```\n\n#### CrewAI Integration\n```python\nfrom euriai.crewai import EuriaiCrewAI\n\ncrew = EuriaiCrewAI(\n api_key=\"your-euri-api-key\",\n default_model=\"gpt-4.1-nano\"\n)\n```\n\n#### LangChain Integration\n```python\nfrom euriai.langchain import EuriaiChatModel\n\nchat_model = EuriaiChatModel(\n api_key=\"your-euri-api-key\",\n model=\"gpt-4.1-nano\"\n)\n```\n\n### Handling Optional Dependencies\n\nIf you try to use an integration without installing its dependencies, you'll get helpful error messages:\n\n```python\ntry:\n from euriai.autogen import EuriaiAutoGen\nexcept ImportError as e:\n print(e)\n # This will show:\n # AutoGen is not installed. Please install it using one of these methods:\n # \n # Option 1 (Recommended): Install with euriai extras:\n # pip install euriai[autogen]\n # \n # Option 2: Install AutoGen directly:\n # pip install pyautogen\n # \n # Option 3: Install all euriai integrations:\n # pip install euriai[all]\n```\n\n### Semi-Automatic Installation (Optional)\n\nFor convenience, you can use the helper function to prompt for automatic installation:\n\n```python\nfrom euriai import install_optional_dependency\n\n# This will ask user permission before installing\nif install_optional_dependency(\"pyautogen\", \"AutoGen\", \"autogen\"):\n from euriai.autogen import EuriaiAutoGen\n # Now you can use AutoGen integration\n```\n\n## Available Models\n\n- `gpt-4.1-nano` - Fast and efficient model\n- `gpt-4.1-mini` - Balanced performance model \n- `gemini-2.5-flash` - Google's Gemini model\n- And more...\n\n## Framework Support\n\n| Framework | Installation | Description |\n|-----------|-------------|-------------|\n| **AutoGen** | `pip install euriai[autogen]` | Multi-agent conversation framework |\n| **CrewAI** | `pip install euriai[crewai]` | Role-playing AI agent framework |\n| **LangChain** | `pip install euriai[langchain]` | Building applications with LLMs |\n| **LangGraph** | `pip install euriai[langgraph]` | Building stateful, multi-actor applications |\n| **SmolAgents** | `pip install euriai[smolagents]` | Minimalist agent framework |\n| **LlamaIndex** | `pip install euriai[llama-index]` | Data framework for LLM applications |\n\n## Examples\n\n### AutoGen Multi-Agent Chat\n```python\nfrom euriai.autogen import EuriaiAutoGen\n\nautogen = EuriaiAutoGen(api_key=\"your-api-key\")\n\nassistant = autogen.create_assistant_agent(\n name=\"Assistant\",\n model=\"gpt-4.1-nano\"\n)\n\nuser_proxy = autogen.create_user_proxy_agent(\n name=\"User\",\n human_input_mode=\"NEVER\"\n)\n\nresult = autogen.run_chat(\n agent1=user_proxy,\n agent2=assistant,\n message=\"Explain quantum computing\",\n max_turns=3\n)\n```\n\n### CrewAI Workflow\n```python\nfrom euriai.crewai import EuriaiCrewAI\n\ncrew = EuriaiCrewAI(api_key=\"your-api-key\")\n\ncrew.add_agent(\"researcher\", {\n \"role\": \"Researcher\",\n \"goal\": \"Research {topic}\",\n \"backstory\": \"Expert researcher with analytical skills\",\n \"model\": \"gpt-4.1-nano\"\n})\n\ncrew.add_task(\"research_task\", {\n \"description\": \"Research the given topic\",\n \"expected_output\": \"Comprehensive research report\",\n \"agent\": \"researcher\"\n})\n\nresult = crew.run(inputs={\"topic\": \"AI in Healthcare\"})\n```\n\n## API Reference\n\nFor detailed API documentation, visit: [https://euron.one/euri](https://euron.one/euri)\n\n## Support\n\n- **Documentation**: [https://docs.euron.one](https://euron.one/euri)\n- **GitHub**: [https://github.com/euri-ai/euriai-python-sdk](https://github.com/euri-ai/euriai-python-sdk)\n- **Email**: tech@euron.one\n\n## License\n\nMIT License - see LICENSE file for details.\n",
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