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Documentation Index

Fetch the complete documentation index at: https://docs.zerogpu.ai/llms.txt

Use this file to discover all available pages before exploring further.

Three things from your dashboard, one API call, done.

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1. Grab your credentials

Log into the ZeroGPU dashboard. Copy these three values:
CredentialWhere to find it
API KeyDashboard → API Keys
Project IDDashboard → Project Settings
ModelDashboard → Model selector

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2. Send a request

curl --location 'https://api.zerogpu.ai/v1/responses' \
  --header 'content-type: application/json' \
  --header 'x-api-key: YOUR_API_KEY' \
  --header 'x-project-id: YOUR_PROJECT_ID' \
  --data '{
    "model": "YOUR_MODEL",
    "input": [
      {
        "role": "user",
        "content": "Your input text here..."
      }
    ],
    "text": {
      "format": {
        "type": "text"
      }
    }
  }'
Store your API key in environment variables. Never commit it to version control or expose it in client-side code.
Some models expect input as a JSON string instead of a message array. If you see 400 with invalid_type on input, switch shapes — see Responses.

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3. Verify it worked

Check the dashboard:
  • Logs — your request appears with model, status, and latency
  • Usage — token counts update in real time
If you got a 401, your API key is wrong. 403 means bad project ID. See Authentication for details.

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Next steps

API Reference

Full request/response spec for /v1/responses.

SDK Examples

Error handling, env vars, and production patterns.