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

# 获取单个 LLM 模型



## OpenAPI

````yaml /openapi/service-api-ja.json get /api/v1/provider/models/llm/{model_uuid}
openapi: 3.0.3
info:
  title: LangBot Service API
  description: >
    LangBot external service API documentation. These endpoints support API Key
    authentication for programmatic access to LangBot resources.


    **Authentication:**

    - User Token (via `Authorization: Bearer <token>`)

    - API Key (via `X-API-Key: <key>` or `Authorization: Bearer <key>`)


    All endpoints in this document support both authentication methods unless
    otherwise noted.
  version: 4.9.5
  contact:
    name: LangBot
    url: https://langbot.app
  license:
    name: AGPL-3.0
    url: https://github.com/langbot-app/LangBot/blob/master/LICENSE
servers:
  - url: http://localhost:5300
    description: Local development server
security:
  - ApiKeyAuth: []
  - BearerAuth: []
tags:
  - name: モデルプロバイダー
    description: >-
      Model provider management. Providers define API endpoints and keys; models
      reference providers via provider_uuid.
  - name: LLMモデル
    description: >-
      Large Language Model (LLM) management. Each model is associated with a
      provider.
  - name: 埋め込みモデル
    description: Embedding model management. Each model is associated with a provider.
  - name: ボット
    description: Bot instance management and messaging
  - name: パイプライン
    description: Pipeline configuration management
  - name: ナレッジベース
    description: Knowledge base management
  - name: ナレッジエンジン
    description: Knowledge engine (plugin-provided) queries
  - name: パーサー
    description: File parser (plugin-provided) queries
  - name: ファイル
    description: File upload operations
  - name: プラグイン
    description: Plugin installation, configuration, and management
  - name: システム
    description: System information (no auth required)
paths:
  /api/v1/provider/models/llm/{model_uuid}:
    get:
      tags:
        - LLM Models
      summary: 获取单个 LLM 模型
      parameters:
        - name: model_uuid
          in: path
          required: true
          schema:
            type: string
            format: uuid
      responses:
        '200':
          description: 成功
          content:
            application/json:
              schema:
                type: object
                properties:
                  code:
                    type: integer
                    example: 0
                  data:
                    type: object
                    properties:
                      model:
                        $ref: '#/components/schemas/LLMModel'
        '404':
          $ref: '#/components/responses/NotFound'
components:
  schemas:
    LLMModel:
      type: object
      description: 大语言模型。通过 provider_uuid 关联到供应商，继承供应商的 API 地址和密钥。
      properties:
        uuid:
          type: string
          format: uuid
        name:
          type: string
          description: 模型名称（即模型 ID，发送到 API 的 model 参数值）
          example: gpt-4o
        provider_uuid:
          type: string
          format: uuid
          description: 关联的供应商 UUID
        abilities:
          type: array
          items:
            type: string
          description: 模型能力标签
          example:
            - chat
            - vision
            - tool-use
        extra_args:
          type: object
          description: 额外参数（如 temperature、max_tokens 等）
        prefered_ranking:
          type: integer
          description: 优先级排序（越大越优先）
          default: 0
        created_at:
          type: string
          format: date-time
        updated_at:
          type: string
          format: date-time
    ErrorResponse:
      type: object
      properties:
        code:
          type: integer
          example: -1
        msg:
          type: string
  responses:
    NotFound:
      description: 资源未找到
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/ErrorResponse'
  securitySchemes:
    ApiKeyAuth:
      type: apiKey
      in: header
      name: X-API-Key
    BearerAuth:
      type: http
      scheme: bearer

````