cond / README.md
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Deploy SmolLM3-3B API - 2026-01-07 15:29:18
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---
title: SmolLM3-3B LangGraph Conductor API
emoji: ⚙️
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
pinned: true
---
# SmolLM3-3B API for LangGraph Conductor
This Space hosts a FastAPI backend for the SmolLM3-3B model, providing an OpenAI-compatible API for LangGraph-based Tech→Econ analysis.
## 🚀 Quick Start
```python
import requests
API_URL = "https://gsstec-cond.hf.space"
# Health check
response = requests.get(f"{API_URL}/health")
print(response.json())
# Chat completion
chat_response = requests.post(f"{API_URL}/chat", json={
"messages": [{"role": "user", "content": "Analyze tech score 0.1172"}],
"enable_thinking": True
})
print(chat_response.json())
```
## 🔧 API Endpoints
- `GET /health` - Health check
- `POST /chat` - Chat completion (OpenAI compatible)
- `GET /models` - List available models
## 🏗️ Architecture
- **Model**: SmolLM3-3B (3B parameters)
- **Framework**: FastAPI + Transformers
- **Deployment**: Docker on Hugging Face Spaces
- **Purpose**: LangGraph Conductor backend for Tech→Econ analysis
## 📊 Usage in LangGraph
This API serves as the LLM backend for the AEGIS-10 LangGraph conductor, processing technical analysis scores and generating economic insights.