Metadata-Version: 2.4
Name: agent-dist
Version: 0.2.0
Summary: A lightweight agentic mesh for orchestrating AI agents.
Author-email: Shekar <shekar.shekar9036@gmail.com>
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: fastapi
Requires-Dist: uvicorn
Requires-Dist: requests
Requires-Dist: httpx
Requires-Dist: pydantic
Requires-Dist: langchain-groq
Requires-Dist: langchain-ollama
Requires-Dist: python-dotenv
Requires-Dist: matplotlib>=3.10.8
Requires-Dist: seaborn>=0.13.2
Requires-Dist: sentence-transformers
Requires-Dist: numpy

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# agent_dist
Distributed agent orchestration framework with registry, hierarchical routing, ReAct execution, and traceable multi-agent workflows.
=======
# AgentFlows

A lightweight agentic mesh for orchestrating AI agents in a hospital environment.

## ⚙️ Configuration

Copy the example configuration file:
```bash
cp .env.example .env
```
Edit `.env` to set your LLM provider.

### Supported LLM Providers
- **Ollama** (Default): Run local models via `ollama serve`.
- **Groq**: Fast inference. Set `LLM_PROVIDER=groq` and `GROQ_API_KEY`.
- **OpenAI**: Set `LLM_PROVIDER=openai` and `LLM_API_KEY`.

## Installation
```bash
pip install agentflows
```

## Running

**Registry:**
```bash
python -m agentflows.registry.app
```

**Orchestrator:**
```bash
python -m agentflows.orchestrator.app
```
>>>>>>> f31a0e6 (Initial commit)

