ActAVA SDK: Enterprise AI orchestration platform for healthcare organizations. Commercial offering for paid customers only.
Project description
ActAVA SDK
Enterprise AI orchestration platform for healthcare organizations. Build, deploy, and manage AI agents on ActAVA's managed cloud platform.
Installation
pip install actava
Quick Start
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.langchainandactava.langgraphwith 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:
# 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
Support
- Commercial Support: support.actava.ai
- Documentation: docs.actava.ai
- Enterprise Sales: actava.ai
License
Proprietary software. Licensed for use by ActAVA customers only.
Project details
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