# ActAVA SDK
Enterprise AI orchestration platform for healthcare organizations. Build, deploy, and manage AI agents on ActAVA's managed cloud platform.
## Installation
```bash
pip install actava
```
## Quick Start
```python
import actava as av
from actava.langchain_openai import ChatOpenAI
from actava.langgraph import StateGraph, END
# Initialize ActAVA with your project credentials
av.init(project="your-project-id", api_key="your-api-key")
# Use LangChain/LangGraph as usual
llm = ChatOpenAI(model="gpt-4o")
def my_function(state):
return {"result": "processed", **state}
# Create and compile graph
graph = StateGraph(dict)
graph.add_node("process", my_function)
graph.add_edge("process", END)
compiled = graph.compile()
# Export graph for deployment
from actava.graph import export
spec = export(graph)
print(spec.model_dump_json(indent=2))
```
## Features
- **Zero API Changes**: Import `actava.langchain` and `actava.langgraph` with no code changes
- **Auto Telemetry**: Automatic instrumentation with configurable sampling
- **Graph Export**: Export LangGraph DAGs to JSON GraphSpec for deployment
- **Runtime Service**: FastAPI-based runtime service for local testing and cloud deployment
- **Healthcare Focus**: Built with healthcare compliance and security in mind
- **Managed Cloud**: Deploy to ActAVA's managed cloud platform with `actava-cli`
## Deployment
Use the ActAVA CLI to deploy your agents to our managed cloud:
```bash
# Install CLI
pip install actava-cli
# Initialize project
actava init
# Deploy agent
actava push --manifest agent.manifest.yaml
```
## Documentation
For full documentation, visit [docs.actava.ai](https://docs.actava.ai)
## Support
- **Commercial Support**: [support.actava.ai](https://support.actava.ai)
- **Documentation**: [docs.actava.ai](https://docs.actava.ai)
- **Enterprise Sales**: [actava.ai](https://actava.ai)
## License
Proprietary software. Licensed for use by ActAVA customers only.
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