AI agent API access with OpenAI-compatible chat completions.
Give your agents a predictable LLM backend with free testing, OpenAI-compatible routes, and flat-rate unlimited access.
Predictable backend
Agent loops become less scary when pricing is flat-rate.
Standard API shape
Use chat completions, model listing, and usage metadata.
Privacy defaults
Prompt and response text is not stored.
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
For agentic workloads
Yolo-Auto is built for the messy reality of agents: long context, tool calls in surrounding apps, repeated prompts, and unpredictable usage spikes.
Use your own orchestration
Yolo-Auto provides model inference. Your app, framework, or agent controls tools, memory, files, and actions.
Free first request path
Start with a free account, create an API key, and validate your agent against the /v1 endpoint.
Who AI Agent API is actually for
AI Agent 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.
- Command-line coding agents that read, plan, edit, and retry.
- IDE helpers and internal automation tools.
- Agentic workflows where predictable pricing and prompt privacy matter.
Agents are not normal API consumers
A human chat session is usually linear. An agent session is messy: it inspects files, reasons, retries, summarizes, and may loop while fixing a problem. That usage pattern makes per-token pricing harder to predict.
Yolo-Auto gives agent builders an OpenAI-compatible model backend with no prompt storage and a flat-rate upgrade path when free testing is not enough.
Try AI Agent 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": "Plan the next three safe steps for a coding agent working inside a repository." }
]
}'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: "Plan the next three safe steps for a coding agent working inside a repository." }]
});
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.
AI Agent API FAQ
Does Yolo-Auto run tools for my agent?
No. Yolo-Auto provides model responses through the API. Your agent framework controls tools and actions.
Is it compatible with agent frameworks?
It works with frameworks and clients that support OpenAI-compatible endpoints.
Can I use it for commercial agents?
Use is governed by the current Terms of Service and plan limits.
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