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POST
/
v1beta
/
models
/
gemini-2.5-pro:
{method}
Gemini-2.5-pro Quick Chat
curl --request POST \
  --url https://api.evolink.ai/v1beta/models/gemini-2.5-pro:{method} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "Hello, introduce yourself"
        }
      ]
    }
  ]
}'
{
  "candidates": [
    {
      "content": {
        "role": "model",
        "parts": [
          {
            "text": "Hello! I'm pleased to introduce myself.\n\nI'm a large language model, trained and developed by Google..."
          }
        ]
      },
      "finishReason": "STOP",
      "index": 0,
      "safetyRatings": [
        {}
      ]
    }
  ],
  "promptFeedback": {
    "safetyRatings": [
      {}
    ]
  },
  "usageMetadata": {
    "promptTokenCount": 4,
    "candidatesTokenCount": 611,
    "totalTokenCount": 2422,
    "thoughtsTokenCount": 1807,
    "promptTokensDetails": [
      {
        "modality": "TEXT",
        "tokenCount": 4
      }
    ]
  }
}

Authorizations

Authorization
string
header
required

##All APIs require Bearer Token authentication##

Get API Key:

Visit API Key Management Page to get your API Key

Add to request header:

Authorization: Bearer YOUR_API_KEY

Path Parameters

method
enum<string>
required

Generation method (Quick start recommends generateContent):

  • generateContent: Returns complete response at once
  • streamGenerateContent: Streaming return, receives content in real-time chunks
Available options:
generateContent,
streamGenerateContent

Body

application/json
contents
object[]
required

List of conversation contents

Minimum length: 1
Example:
[
{
"role": "user",
"parts": [{ "text": "Hello, introduce yourself" }]
}
]

Response

Content generated successfully

candidates
object[]

List of candidate responses

promptFeedback
object
usageMetadata
object

Usage statistics