AI API with no prompt or response logging.
Yolo-Auto gives developers OpenAI-compatible model access without storing prompt text, response text, or conversation history.
Prompt text discarded
Requests are processed and prompt bodies are not stored.
Response text discarded
Model outputs are not saved as conversation history.
Compatible API
Use the same OpenAI-compatible request shape.
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
Built to avoid sensitive data retention
For developers, prompts often contain code, docs, logs, plans, and internal details. Yolo-Auto is designed not to retain that text.
Operational metadata is separate
Token counts, timing, route, status, and account metadata are used to operate the service, but prompt and response bodies are not retained.
Good fit for coding agents
Coding-agent sessions can include proprietary context. No prompt logging keeps the service simpler and safer.
Who No-Prompt-Logging AI API is actually for
No-Prompt-Logging AI 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.
- 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. 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.
Try No-Prompt-Logging AI 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);When to choose Yolo-Auto
You need OpenAI-compatible LLM access, predictable cost, free testing, and no prompt or response storage.
You need image generation, every model under the sun, a managed IDE, or a consumer-only chatbot with no API workflow.
Read the docs, check models, compare pricing, or review the privacy policy.
No-Prompt-Logging AI API FAQ
Do you log prompts for debugging?
No. Admin tooling is based on request metadata, not prompt or response bodies.
Are outputs stored?
No. Responses are not stored as history.
Where can I verify this?
Read the Privacy Policy and Terms pages for the current data handling language.
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