Quotaflow
llms.txtOpenAPIDashboard
Protocol Surfaces

Gemini-compatible generateContent

When to use this page

Use this page when your client expects the Gemini generateContent API shape.

Base URL

https://api.quotaflow.ai

Endpoint

POST https://api.quotaflow.ai/v1beta/models/{model}:generateContent

Supported models

Text, multimodal, and reasoning-capable Gemini models:

Reasoning-capable models support Gemini-style thinking controls where the model family exposes them. Use generationConfig.maxOutputTokens when you need a hard output cap.

Use Gemini-native generationConfig.thinkingConfig for Gemini thinking controls. Do not send a top-level thinking field to Gemini-compatible endpoints; Quotaflow returns a clear 400 invalid_request_error for unsupported parameter shapes instead of retrying the request on another execution path.

Protocol surfaces

Quotaflow supports Gemini text models on two customer-facing surfaces when your key/package enables the model:

Cached-content and countTokens requests require a Gemini-compatible route. OpenAI-compatible Gemini chat/SSE is for chat generation, not Gemini native cache management.

Capability availability and retries

Gemini availability is evaluated per model, protocol surface, and capability. Seeing a model in authenticated /models confirms key access, not that every combination of plain generation, streaming, function tools, hosted tools, image, document, audio, and video input is currently enabled. A valid request with no verified compatible supply returns 503, whether the known candidates are explicitly unavailable or still unverified. An unknown model returns 404, while malformed or protocol-incompatible parameters return 400. Retry only temporary 429, 503, and network failures; do not retry 400 request-shape errors on another model.

Image-capable Gemini models:

When you call an image-capable model to generate an image, include generationConfig.responseModalities: ["IMAGE"] and an imageConfig size/aspect ratio. Quotaflow also fills safe defaults for image-preview models when these fields are omitted, but explicit fields make model behavior deterministic.

The google/ prefix is accepted for compatible Gemini model ids when your key/package enables that alias. Call your model discovery endpoint to confirm what your key can use.

For practical image examples, see Gemini 3.1 Flash Image reference and Gemini 3 Pro Image reference.

Curl

curl "https://api.quotaflow.ai/v1beta/models/gemini-3-pro-image-preview:generateContent" \
  -H "x-goog-api-key: $QUOTAFLOW_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {
        "role": "user",
        "parts": [
          { "text": "Create a clean teal product dashboard illustration." }
        ]
      }
    ],
    "generationConfig": {
      "responseModalities": ["IMAGE"],
      "imageConfig": {
        "aspectRatio": "1:1",
        "imageSize": "1K"
      }
    }
  }'

Quotaflow returns a Gemini-compatible response for Gemini-style clients.