README.md

metadata

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

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.