Private LLM API

Private LLM API access with no prompt storage.

Use an OpenAI-compatible LLM API where prompts and responses are not stored or used for training.

Create private LLM API key → Read privacy policy

No prompt storage

Prompt and response bodies are not saved as chat history.

Not used for training

Your requests are not fed into training pipelines.

Usage metadata only

Operational metadata supports limits, abuse prevention, and billing state.

Quick setup

Create an account, copy your yolo_... API key, set your base URL to https://yolo-auto.com/v1, and use a public model from the models page.

Best next pages

Docs · Pricing · Models · Free AI chat · Cheap LLM API

Privacy-first for developer workflows

Code, internal docs, prompts, and generated responses should not become someone else's dataset. Yolo-Auto minimizes stored sensitive content.

What is stored

The service stores account, billing, API-key, and usage metadata needed to operate the product, but not prompt or response text.

Use with your existing clients

Privacy defaults apply whether you use a desktop client, SDK, curl, or coding-agent tool.

Use cases

Who Private LLM API is actually for

Private LLM API is best for developers and power users who want model access inside tools, agents, scripts, and apps — not just a closed consumer chatbot tab.

Positioning

Prompt privacy is a product feature, not a footnote

Developer prompts often include repository context, logs, tickets, internal docs, or strategy. Yolo-Auto is designed so prompt and response bodies are not stored as a browsable history.

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.

Implementation

Try Private LLM API with a normal chat completion

The fastest test is a single request against the OpenAI-compatible endpoint. Use your real Yolo-Auto API key, then swap the model ID if the models page shows a newer default.

curl

curl https://yolo-auto.com/v1/chat/completions \
  -H "Authorization: Bearer yolo_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.6-35b-a3b",
    "messages": [
      { "role": "user", "content": "Summarize this internal design note without storing or reusing the source text." }
    ]
  }'

OpenAI SDK style

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: "qwen3.6-35b-a3b",
  messages: [{ role: "user", content: "Summarize this internal design note without storing or reusing the source text." }]
});

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

When to choose Yolo-Auto

Choose it when

You need OpenAI-compatible LLM access, predictable cost, free testing, and no prompt or response storage.

Skip it when

You need image generation, every model under the sun, a managed IDE, or a consumer-only chatbot with no API workflow.

Next step

Read the docs, check models, compare pricing, or review the privacy policy.

FAQ

Private LLM API FAQ

Do you train on my prompts?

No. Yolo-Auto does not intentionally train models on your prompts or responses.

Can admins read my chat history?

There is no stored chat history for admins to browse.

Is metadata stored?

Yes. Usage metadata such as model, timing, token counts, and status is stored for operations and limits.

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