Gemini-compatible protocol

Generate text with the native generateContent format

Gemini puts turns in contents[].parts[] and authenticates with x-goog-api-key. Choose the path model ID from the live model page.

Text generation

curl "https://api.bianxie.ai/v1beta/models/your-model:generateContent" \
  -H "x-goog-api-key: API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{
      "role": "user",
      "parts": [{"text": "Explain quantum computing in one sentence."}]
    }],
    "generationConfig": {
      "temperature": 0.7,
      "maxOutputTokens": 1024
    }
  }'

For multi-turn conversations, append ordered contents entries with user and model roles. Use top-level systemInstruction for system guidance and generationConfig for temperature, stops, output limits, and structured output.

Response shape

{
  "candidates": [{
    "content": {"role": "model", "parts": [{"text": "Quantum computing uses..."}]},
    "finishReason": "STOP"
  }],
  "usageMetadata": {
    "promptTokenCount": 12,
    "candidatesTokenCount": 24,
    "totalTokenCount": 36
  }
}

Read text from candidates[0].content.parts[]. If safety filters block a request, inspect promptFeedback and candidate safety ratings.