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## AI Agent Integration Guide
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This document explains how any AI agent (or app) should use the NVIDIA proxy API exposed by this service. The proxy keeps the real `NVIDIA_API_KEY` on the backend so that the agent never needs to handle or see the key directly.
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---
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### 1. Base URL
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- **Local development**: `http://localhost:8000`
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- **Hugging Face Space** (production): `https://Rox-Turbo-API.hf.space`
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All endpoints below are relative to this base URL.
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---
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### 2. Chat endpoint (recommended for applications)
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- **HTTP method**: `POST`
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- **Path**: `/chat`
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- **Description**: General chat/completions endpoint, similar to OpenAI Chat Completions.
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**Request JSON (with optional system prompt):**
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```json
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{
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"messages": [
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{
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"role": "system",
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"content": "You are a helpful assistant that answers briefly."
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},
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{
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"role": "user",
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"content": "Your question here"
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}
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],
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"temperature": 1.0,
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"top_p": 1.0,
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"max_tokens": 1024
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}
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```
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- `messages`:
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- Array of objects with `role` (`"user"`, `"assistant"`, `"system"`) and `content` (string).
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- Include one or more **`system` messages at the start** to control behavior (system prompting).
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- Append `user` and `assistant` messages to maintain conversation history.
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- `temperature`, `top_p`, `max_tokens` are optional; if omitted, defaults are used.
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**Response JSON:**
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```json
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{
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"content": "Model reply text..."
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}
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```
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- `content`: the full generated reply from the model as a single string.
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**Notes for agents:**
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- No API key or auth header is required; the proxy handles credentials.
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- Handle HTTP error codes:
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- `400–499`: client-side issues (invalid body, etc.).
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- `500`: internal error talking to upstream.
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- `502`: bad response from upstream provider.
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---
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### 3. Hugging Face–style endpoint (for HF tools)
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- **HTTP method**: `POST`
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- **Path**: `/hf/generate`
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- **Description**: Hugging Face text-generation–style interface (`inputs` + `parameters`).
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**Request JSON:**
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```json
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{
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"inputs": "Prompt text here",
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"parameters": {
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"temperature": 0.7,
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"top_p": 0.95,
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"max_new_tokens": 256
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}
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}
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```
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- `parameters` is optional; unspecified values fall back to sensible defaults.
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**Response JSON:**
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```json
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[
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{
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"generated_text": "Model reply text..."
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}
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]
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```
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- This shape matches what many Hugging Face clients expect from a text-generation endpoint.
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---
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### 4. Example usage from a browser (static frontend)
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**JavaScript (fetch) example using `/chat`:**
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```js
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const API_URL = "https://Rox-Turbo-API.hf.space/chat";
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async function sendMessage(messageText) {
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const body = {
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messages: [{ role: "user", content: messageText }],
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temperature: 1,
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top_p: 1,
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max_tokens: 1024
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};
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const res = await fetch(API_URL, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify(body)
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});
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if (!res.ok) {
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throw new Error(`API error: ${res.status} ${await res.text()}`);
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}
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const data = await res.json();
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return data.content; // model reply text
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}
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```
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---
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### 5. Example usage from a Python agent
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**Python example using `requests` and `/chat`:**
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```python
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import requests
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BASE_URL = "https://Rox-Turbo-API.hf.space"
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def ask_model(messages, temperature=1.0, top_p=1.0, max_tokens=1024):
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url = f"{BASE_URL}/chat"
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payload = {
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"messages": messages,
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"temperature": temperature,
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"top_p": top_p,
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"max_tokens": max_tokens,
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}
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response = requests.post(url, json=payload, timeout=60)
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response.raise_for_status()
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data = response.json()
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return data["content"]
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if __name__ == "__main__":
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reply = ask_model([{"role": "user", "content": "Hello, who are you?"}])
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print("Model reply:", reply)
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```
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---
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### 6. Responsibilities and guarantees
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- The proxy:
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- Maintains and protects the `NVIDIA_API_KEY` on the server side.
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- Handles communication with the NVIDIA OpenAI-compatible endpoint.
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- Normalizes responses into simple JSON formats (`content` and `generated_text`).
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- The agent:
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- Only needs HTTPS access to the proxy.
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- Must handle standard HTTP errors and implement retries or fallback behavior as needed.
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Use this document as the single source of truth for how your AI agent should call the NVIDIA proxy API in this project.
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