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

# EvoLink Auto - Claude 형식

> Intelligent routing using Anthropic Messages API format

## 스마트 모델 라우팅

Anthropic Messages API 형식을 사용하여 EvoLink Auto 지능형 모델 라우팅을 호출합니다.

### 주요 특징

* **Claude 네이티브 형식**: Anthropic Messages API와 완벽하게 호환
* **지능형 라우팅**: 적합한 모델을 자동으로 선택
* **투명한 응답**: 실제 사용된 모델 이름을 포함

<Note>
  `model` 매개변수를 `evolink/auto`로 설정하고 `/v1/messages` 엔드포인트를 사용하세요.
</Note>

<Note>
  **BaseURL**: 기본 BaseURL은 `https://direct.evolink.ai`이며, 텍스트 모델 지원이 더 우수하고 장시간 연결을 지원합니다. `https://api.evolink.ai`는 멀티모달 서비스의 주력 엔드포인트이며, 텍스트 모델에 대해서는 대체 주소로 사용됩니다.
</Note>


## OpenAPI

````yaml ko/api-manual/language-series/evolink-auto/evolink-auto-claude.json POST /v1/messages
openapi: 3.1.0
info:
  title: EvoLink Auto - Claude Format
  description: Intelligent model routing using Anthropic Messages API format
  license:
    name: MIT
  version: 1.0.0
servers:
  - url: https://direct.evolink.ai
    description: Standard API
security:
  - bearerAuth: []
paths:
  /v1/messages:
    post:
      tags:
        - Intelligent Routing
      summary: Intelligent Model Routing (Claude Format)
      description: Intelligent routing using Anthropic Messages API format
      operationId: createMessagesAuto
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ClaudeAutoRequest'
      responses:
        '200':
          description: Success
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ClaudeResponse'
components:
  schemas:
    ClaudeAutoRequest:
      type: object
      required:
        - model
        - messages
        - max_tokens
      properties:
        model:
          type: string
          description: Use intelligent routing
          enum:
            - evolink/auto
          example: evolink/auto
        messages:
          type: array
          description: Conversation messages
          items:
            $ref: '#/components/schemas/MessageInput'
          minItems: 1
          example:
            - role: user
              content: Introduce the history of artificial intelligence
        max_tokens:
          type: integer
          description: Maximum tokens to generate
          minimum: 1
          example: 1024
        temperature:
          type: number
          description: Sampling temperature
          minimum: 0
          maximum: 2
          example: 0.7
        top_p:
          type: number
          description: Nucleus sampling parameter
          minimum: 0
          maximum: 1
          example: 0.9
        top_k:
          type: integer
          description: Top-K sampling
          minimum: 1
          example: 40
        stream:
          type: boolean
          description: Enable streaming
          default: false
    ClaudeResponse:
      type: object
      properties:
        id:
          type: string
          description: Response unique identifier
        model:
          type: string
          description: Actual model name used
          example: claude-opus-4-7
        type:
          type: string
          enum:
            - message
        role:
          type: string
          enum:
            - assistant
        content:
          type: array
          items:
            type: object
            properties:
              type:
                type: string
                enum:
                  - text
              text:
                type: string
        usage:
          type: object
          properties:
            input_tokens:
              type: integer
            output_tokens:
              type: integer
      example:
        id: msg_01XFDUDYJgAACyzWYzeHhsX7
        model: gpt-5.4
        type: message
        role: assistant
        content:
          - type: text
            text: 인공지능의 발전 역사는 1950년대로 거슬러 올라갑니다...
        usage:
          input_tokens: 15
          output_tokens: 156
    MessageInput:
      type: object
      required:
        - role
        - content
      properties:
        role:
          type: string
          enum:
            - user
            - assistant
        content:
          type: string
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: >-
        ##All APIs require Bearer Token authentication##


        **Get API Key:**


        Visit [API Key Management](https://evolink.ai/dashboard/keys) to get
        your API Key


        **Add to request header:**

        ```

        Authorization: Bearer YOUR_API_KEY

        ```
      bearerFormat: sk-evo-xxxxxxxxxx

````