> ## Documentation Index
> Fetch the complete documentation index at: https://gccai.heqingsong.uk/llms.txt
> Use this file to discover all available pages before exploring further.

# Gemini Native Format

>  - Call Gemini models using Google Native API format
- Synchronous processing mode with real-time response
- Minimal parameters for quick start 

<RequestExample>
  ```bash cURL theme={null}
  curl --request POST \
    --url https://gccai.heqingsong.uk/v1beta/models/gemini-2.5-pro:generateContent \
    --header 'Authorization: Bearer <token>' \
    --header 'Content-Type: application/json' \
    --data '{
    "contents": [
      {
        "role": "user",
        "parts": [
          {
            "text": "Hello, please introduce yourself"
          }
        ]
      }
    ]
  }'
  ```

  ```python Python theme={null}
  import requests

  url = "https://gccai.heqingsong.uk/v1beta/models/gemini-2.5-pro:generateContent"

  payload = {
      "contents": [
          {
              "role": "user",
              "parts": [
                  {
                      "text": "Hello, please introduce yourself"
                  }
              ]
          }
      ]
  }

  headers = {
      "Authorization": "Bearer <token>",
      "Content-Type": "application/json"
  }

  response = requests.post(url, json=payload, headers=headers)

  print(response.json())
  ```

  ```javascript JavaScript theme={null}
  const url = "https://gccai.heqingsong.uk/v1beta/models/gemini-2.5-pro:generateContent";

  const payload = {
    contents: [
      {
        role: "user",
        parts: [
          {
            text: "Hello, please introduce yourself"
          }
        ]
      }
    ]
  };

  const headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
  };

  fetch(url, {
    method: "POST",
    headers: headers,
    body: JSON.stringify(payload)
  })
    .then(response => response.json())
    .then(data => console.log(data))
    .catch(error => console.error('Error:', error));
  ```

  ```go Go theme={null}
  package main

  import (
      "bytes"
      "encoding/json"
      "fmt"
      "io/ioutil"
      "net/http"
  )

  func main() {
      url := "https://gccai.heqingsong.uk/v1beta/models/gemini-2.5-pro:generateContent"

      payload := map[string]interface{}{
          "contents": []map[string]interface{}{
              {
                  "role": "user",
                  "parts": []map[string]interface{}{
                      {
                          "text": "Hello, please introduce yourself",
                      },
                  },
              },
          },
      }

      jsonData, _ := json.Marshal(payload)

      req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
      req.Header.Set("Authorization", "Bearer <token>")
      req.Header.Set("Content-Type", "application/json")

      client := &http.Client{}
      resp, err := client.Do(req)
      if err != nil {
          panic(err)
      }
      defer resp.Body.Close()

      body, _ := ioutil.ReadAll(resp.Body)
      fmt.Println(string(body))
  }
  ```

  ```java Java theme={null}
  import java.net.http.HttpClient;
  import java.net.http.HttpRequest;
  import java.net.http.HttpResponse;
  import java.net.URI;

  public class Main {
      public static void main(String[] args) throws Exception {
          String url = "https://gccai.heqingsong.uk/v1beta/models/gemini-2.5-pro:generateContent";

          String payload = """
          {
            "contents": [
              {
                "role": "user",
                "parts": [
                  {
                    "text": "Hello, please introduce yourself"
                  }
                ]
              }
            ]
          }
          """;

          HttpClient client = HttpClient.newHttpClient();
          HttpRequest request = HttpRequest.newBuilder()
              .uri(URI.create(url))
              .header("Authorization", "Bearer <token>")
              .header("Content-Type", "application/json")
              .POST(HttpRequest.BodyPublishers.ofString(payload))
              .build();

          HttpResponse<String> response = client.send(request,
              HttpResponse.BodyHandlers.ofString());

          System.out.println(response.body());
      }
  }
  ```

  ```php PHP theme={null}
  <?php

  $url = "https://gccai.heqingsong.uk/v1beta/models/gemini-2.5-pro:generateContent";

  $payload = [
      "contents" => [
          [
              "role" => "user",
              "parts" => [
                  [
                      "text" => "Hello, please introduce yourself"
                  ]
              ]
          ]
      ]
  ];

  $ch = curl_init($url);
  curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
  curl_setopt($ch, CURLOPT_POST, true);
  curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
  curl_setopt($ch, CURLOPT_HTTPHEADER, [
      "Authorization: Bearer <token>",
      "Content-Type: application/json"
  ]);

  $response = curl_exec($ch);
  curl_close($ch);

  echo $response;
  ?>
  ```

  ```ruby Ruby theme={null}
  require 'net/http'
  require 'json'
  require 'uri'

  url = URI("https://gccai.heqingsong.uk/v1beta/models/gemini-2.5-pro:generateContent")

  payload = {
    contents: [
      {
        role: "user",
        parts: [
          {
            text: "Hello, please introduce yourself"
          }
        ]
      }
    ]
  }

  http = Net::HTTP.new(url.host, url.port)
  http.use_ssl = true

  request = Net::HTTP::Post.new(url)
  request["Authorization"] = "Bearer <token>"
  request["Content-Type"] = "application/json"
  request.body = payload.to_json

  response = http.request(request)
  puts response.body
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  {
    "code": 200,
    "data": {
      "candidates": [
        {
          "content": {
            "role": "model",
            "parts": [
              {
                "text": "Hello! I'm pleased to introduce myself.\n\nI am a large language model, trained and developed by Google..."
              }
            ]
          },
          "finishReason": "STOP",
          "index": 0,
          "safetyRatings": [
            {
              "category": "HARM_CATEGORY_HATE_SPEECH",
              "probability": "NEGLIGIBLE"
            }
          ]
        }
      ],
      "promptFeedback": {
        "safetyRatings": [
          {
            "category": "HARM_CATEGORY_HATE_SPEECH",
            "probability": "NEGLIGIBLE"
          }
        ]
      ]
    },
    "usageMetadata": {
      "promptTokenCount": 4,
      "candidatesTokenCount": 611,
      "totalTokenCount": 2422,
      "thoughtsTokenCount": 1807,
      "promptTokensDetails": [
        {
          "modality": "TEXT",
          "tokenCount": 4
        }
      ]
    }
  }
  ```

  ```json 400 theme={null}
  {
    "error": {
      "code": 400,
      "message": "Invalid request parameters",
      "status": "INVALID_ARGUMENT"
    }
  }
  ```

  ```json 401 theme={null}
  {
    "error": {
      "code": 401,
      "message": "Authentication failed, please check your API Key",
      "status": "UNAUTHENTICATED"
    }
  }
  ```

  ```json 402 theme={null}
  {
    "error": {
      "code": 402,
      "message": "Insufficient balance, please recharge",
      "status": "PAYMENT_REQUIRED"
    }
  }
  ```

  ```json 403 theme={null}
  {
    "error": {
      "code": 403,
      "message": "Access denied",
      "status": "PERMISSION_DENIED"
    }
  }
  ```

  ```json 404 theme={null}
  {
    "error": {
      "code": 404,
      "message": "Model not found",
      "status": "NOT_FOUND"
    }
  }
  ```

  ```json 429 theme={null}
  {
    "error": {
      "code": 429,
      "message": "Rate limit exceeded, please try again later",
      "status": "RESOURCE_EXHAUSTED"
    }
  }
  ```

  ```json 500 theme={null}
  {
    "error": {
      "code": 500,
      "message": "Internal server error",
      "status": "INTERNAL"
    }
  }
  ```

  ```json 502 theme={null}
  {
    "error": {
      "code": 502,
      "message": "Bad gateway, service temporarily unavailable",
      "status": "BAD_GATEWAY"
    }
  }
  ```

  ```json 503 theme={null}
  {
    "error": {
      "code": 503,
      "message": "Service temporarily unavailable",
      "status": "UNAVAILABLE"
    }
  }
  ```
</ResponseExample>

## Authorizations

<ParamField header="Authorization" type="string" required>
  All API endpoints require Bearer Token authentication

  Get your API Key:

  Visit the [API Key Management Page](https://gccai.heqingsong.uk/keys) to get your API Key

  Add it to the request header:

  ```
  Authorization: Bearer YOUR_API_KEY
  ```
</ParamField>

## Path Parameters

<ParamField path="model" type="string" required>
  Model name

  The examples use `gemini-2.5-pro`, which you can replace with other supported Gemini models:

  * `gemini-3.5-flash` - Gemini 3.5 Flash
  * `gemini-3.1-pro-preview` - Gemini 3.1 Pro Preview
  * `gemini-3-pro-preview` - Gemini 3 Pro Preview
  * `gemini-2.5-pro` - Gemini 2.5 Pro
</ParamField>

<ParamField path="method" type="enum<string>" required>
  Generation method (recommended: `generateContent` for quick start):

  * `generateContent`: Wait for complete response and return at once
  * `streamGenerateContent`: Stream response, return content in chunks

  Available options: `generateContent`, `streamGenerateContent`
</ParamField>

## Body

<ParamField body="contents" type="array" required>
  List of conversation contents

  Minimum 1 message required

  <Expandable title="contents object structure">
    <ParamField body="role" type="string" required>
      Role type:

      * `user`: User message
      * `model`: Model response (used in conversation history)
    </ParamField>

    <ParamField body="parts" type="array" required>
      Message content parts

      <Expandable title="parts object structure">
        <ParamField body="text" type="string">
          Text content
        </ParamField>

        <ParamField body="inlineData" type="object">
          Inline data (for multimodal input)

          <Expandable title="inlineData properties">
            <ParamField body="mimeType" type="string">
              MIME type, e.g. `image/jpeg`, `image/png`
            </ParamField>

            <ParamField body="data" type="string">
              Base64 encoded data
            </ParamField>
          </Expandable>
        </ParamField>
      </Expandable>
    </ParamField>
  </Expandable>

  Example:

  ```json theme={null}
  [
    {
      "role": "user",
      "parts": [{ "text": "Hello, please introduce yourself" }]
    }
  ]
  ```
</ParamField>

<ParamField body="generationConfig" type="object">
  Generation configuration (optional)

  <Expandable title="generationConfig properties">
    <ParamField body="temperature" type="number">
      Controls output randomness, range 0.0-2.0

      * Lower values make output more deterministic
      * Higher values make output more random

      Default: 1.0
    </ParamField>

    <ParamField body="maxOutputTokens" type="integer">
      Maximum number of tokens to generate

      Different models have different maximum limits
    </ParamField>

    <ParamField body="topP" type="number">
      Nucleus sampling parameter, range 0.0-1.0

      Controls the probability mass considered during sampling
    </ParamField>

    <ParamField body="topK" type="integer">
      Top-K sampling parameter

      Sample only from the K most probable tokens at each step
    </ParamField>

    <ParamField body="stopSequences" type="array">
      List of stop sequences

      Stop generation when these sequences are encountered
    </ParamField>
  </Expandable>
</ParamField>

<ParamField body="safetySettings" type="array">
  Safety settings (optional)

  <Expandable title="safetySettings object structure">
    <ParamField body="category" type="string">
      Safety category:

      * `HARM_CATEGORY_HATE_SPEECH`: Hate speech
      * `HARM_CATEGORY_DANGEROUS_CONTENT`: Dangerous content
      * `HARM_CATEGORY_HARASSMENT`: Harassment
      * `HARM_CATEGORY_SEXUALLY_EXPLICIT`: Sexually explicit content
    </ParamField>

    <ParamField body="threshold" type="string">
      Threshold level:

      * `BLOCK_NONE`: Don't block
      * `BLOCK_ONLY_HIGH`: Block only high risk
      * `BLOCK_MEDIUM_AND_ABOVE`: Block medium and above risk
      * `BLOCK_LOW_AND_ABOVE`: Block low and above risk
    </ParamField>
  </Expandable>
</ParamField>

## Response

<ResponseField name="candidates" type="array">
  List of candidate responses

  <Expandable title="candidates object structure">
    <ResponseField name="content" type="object">
      Generated content

      <Expandable title="content properties">
        <ResponseField name="role" type="string">
          Role, typically `model`
        </ResponseField>

        <ResponseField name="parts" type="array">
          List of content parts

          <Expandable title="parts object">
            <ResponseField name="text" type="string">
              Generated text content
            </ResponseField>
          </Expandable>
        </ResponseField>
      </Expandable>
    </ResponseField>

    <ResponseField name="finishReason" type="string">
      Finish reason:

      * `STOP`: Normal completion
      * `MAX_TOKENS`: Maximum token limit reached
      * `SAFETY`: Stopped for safety reasons
      * `RECITATION`: Stopped due to recitation
      * `OTHER`: Other reasons
    </ResponseField>

    <ResponseField name="index" type="integer">
      Index of the candidate response
    </ResponseField>

    <ResponseField name="safetyRatings" type="array">
      List of safety ratings

      <Expandable title="safetyRatings object">
        <ResponseField name="category" type="string">
          Safety category
        </ResponseField>

        <ResponseField name="probability" type="string">
          Probability level: `NEGLIGIBLE`, `LOW`, `MEDIUM`, `HIGH`
        </ResponseField>
      </Expandable>
    </ResponseField>
  </Expandable>
</ResponseField>

<ResponseField name="promptFeedback" type="object">
  Prompt feedback information

  <Expandable title="promptFeedback properties">
    <ResponseField name="safetyRatings" type="array">
      Safety ratings for the prompt
    </ResponseField>

    <ResponseField name="blockReason" type="string">
      Block reason (if prompt was blocked)
    </ResponseField>
  </Expandable>
</ResponseField>

<ResponseField name="usageMetadata" type="object">
  Usage statistics

  <Expandable title="usageMetadata properties">
    <ResponseField name="promptTokenCount" type="integer">
      Number of tokens in the prompt
    </ResponseField>

    <ResponseField name="candidatesTokenCount" type="integer">
      Number of tokens in candidate responses
    </ResponseField>

    <ResponseField name="totalTokenCount" type="integer">
      Total number of tokens consumed
    </ResponseField>

    <ResponseField name="thoughtsTokenCount" type="integer">
      Number of tokens used for thinking (if applicable)
    </ResponseField>

    <ResponseField name="promptTokensDetails" type="array">
      Prompt token details

      <Expandable title="promptTokensDetails object">
        <ResponseField name="modality" type="string">
          Modality type: `TEXT`, `IMAGE`, etc.
        </ResponseField>

        <ResponseField name="tokenCount" type="integer">
          Number of tokens for this modality
        </ResponseField>
      </Expandable>
    </ResponseField>
  </Expandable>
</ResponseField>