Skip to main content
POST
/
v1beta
/
models
/
{model}
:generateContent
curl -X POST "https://api.lemondata.cc/v1beta/models/gemini-2.5-pro:generateContent?key=sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {
        "parts": [{"text": "Hello, Gemini!"}]
      }
    ],
    "generationConfig": {
      "temperature": 0.7,
      "maxOutputTokens": 1024
    }
  }'

{
  "candidates": [
    {
      "content": {
        "role": "model",
        "parts": [
          {"text": "Hello! How can I assist you today?"}
        ]
      },
      "finishReason": "STOP",
      "safetyRatings": [
        {"category": "HARM_CATEGORY_HARASSMENT", "probability": "NEGLIGIBLE"}
      ]
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 5,
    "candidatesTokenCount": 10,
    "totalTokenCount": 15
  }
}
LemonData supports the native Google Gemini API format for Gemini models. This allows direct compatibility with Google AI SDKs.

​
Path Parameters

​
model
string
required
Model name (e.g., gemini-2.5-pro, gemini-2.5-flash).

​
Query Parameters

​
key
string
API key (alternative to header authentication).

​
Authentication

Gemini endpoints support multiple authentication methods:
  • ?key=YOUR_API_KEY query parameter
  • x-goog-api-key: YOUR_API_KEY header
  • Authorization: Bearer YOUR_API_KEY header

​
Request Body

​
contents
array
required
Conversation contents.Each content object contains:
  • role (string): user or model
  • parts (array): Content parts (text or inline data)
​
systemInstruction
object
System instruction for the model.
​
generationConfig
object
Generation configuration:
  • temperature (number): Sampling temperature
  • topP (number): Nucleus sampling probability
  • topK (integer): Top-K sampling
  • maxOutputTokens (integer): Maximum output tokens
  • stopSequences (array): Stop sequences
​
safetySettings
array
Safety filter settings.

​
Response

​
candidates
array
Generated content candidates.
​
usageMetadata
object
Token usage information.
curl -X POST "https://api.lemondata.cc/v1beta/models/gemini-2.5-pro:generateContent?key=sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {
        "parts": [{"text": "Hello, Gemini!"}]
      }
    ],
    "generationConfig": {
      "temperature": 0.7,
      "maxOutputTokens": 1024
    }
  }'

{
  "candidates": [
    {
      "content": {
        "role": "model",
        "parts": [
          {"text": "Hello! How can I assist you today?"}
        ]
      },
      "finishReason": "STOP",
      "safetyRatings": [
        {"category": "HARM_CATEGORY_HARASSMENT", "probability": "NEGLIGIBLE"}
      ]
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 5,
    "candidatesTokenCount": 10,
    "totalTokenCount": 15
  }
}

Path Parameters

​
model
string
required

Model name (e.g., gemini-2.5-pro , gemini-2.5-flash ).

Query Parameters

​
key
string

API key (alternative to header authentication).

Body

application/json
​
contents
object[]
required

Conversation contents. Each content object contains: role (string): user or model parts (array): Content parts (text or inline data)

​
systemInstruction
object

System instruction for the model.

​
generationConfig
object

Generation configuration: temperature (number): Sampling temperature topP (number): Nucleus sampling probability topK (integer): Top-K sampling maxOutputTokens (integer): Maximum output tokens stopSequences (array): Stop sequences

​
safetySettings
object[]

Safety filter settings.

Response

200 - application/json

Response 200

​
candidates
object[]

Generated content candidates.

​
usageMetadata
object

Token usage information.