Private LLM API with no prompt retention.

Send code, documents, and agent context through an OpenAI-compatible API that does not store or retain prompt or response bodies.

Who Private LLM API with No Prompt Logging is actually for

Private LLM API with No Prompt Logging is best for developers and power users who want model access inside tools, agents, scripts, and apps, not just a closed consumer chatbot tab.

• Prompts that may contain code, docs, logs, or internal plans.
• Teams that want model access without retained chat history.
• Developer workflows where operational metadata is acceptable but prompt storage is not.

Prompt privacy is a product feature, not a footnote

Developer prompts often include repository context, logs, tickets, internal docs, or strategy. Prompt and response bodies are not stored or retained.

The service still keeps operational metadata such as token counts, status, route, and timestamps. That metadata is used to run the platform, not to reconstruct your conversations.

Try Private LLM API with No Prompt Logging with a normal chat completion

The fastest test is a single request against the OpenAI-compatible endpoint. Use your real Yolo-Auto API key and confirm access with GET /v1/models.

These examples use qwen3.8-flash, our recommended model for text, images, and tools on Free and paid plans. Paid users can optionally choose yolo, a configurable route initially backed by Flash. Its server-side target can change while your client model ID stays the same.

curl https://yolo-auto.com/v1/chat/completions \
  -H "Authorization: Bearer yolo_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-flash",
    "messages": [
      { "role": "user", "content": "Summarize this internal design note without storing or reusing the source text." }
    ]
  }'

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.YOLO_AUTO_API_KEY,
  baseURL: "https://yolo-auto.com/v1"
});

const response = await client.chat.completions.create({
  model: "qwen3.8-flash",
  messages: [{ role: "user", content: "Summarize this internal design note without storing or reusing the source text." }]
});

console.log(response.choices[0]?.message?.content);

When to choose Yolo-Auto