Emporix

Emporix Model API

Read LLM models from supported providers

Documentation GitHub OpenAPI

Operations 1

GET /ai-service/{tenant}/agentic/models Listing LLM models from supported providers #

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OpenAPI Specification

openapi: 3.2.0
info:
  title: Emporix Model API
  version: ''
  contact:
    name: Emporix
    url: https://emporix.com
    email: documentation@emporix.com
  description: 'Operations tagged Model across 2 of this provider''s published API definitions: emporix-ai-service-openapi.yml, emporix-ai-service-openapi.yml. Each path carries the servers of the definition it was published in.'
servers:
- url: https://api.emporix.io
tags:
- name: Model
  description: Read LLM models from supported providers
paths:
  /ai-service/{tenant}/agentic/models:
    parameters:
    - $ref: '#/components/parameters/path_tenant'
    get:
      summary: Listing LLM models from supported providers
      operationId: GET-ai-list-models
      responses:
        '200':
          description: List of models grouped by LLM provider.
          content:
            application/json:
              schema:
                type: array
                items:
                  $ref: '#/components/schemas/ProviderModelsResponse'
              examples:
                Provider Models Response:
                  $ref: '#/components/examples/ProviderModelsResponse'
        '401':
          $ref: '#/components/responses/401_resp_common'
        '403':
          $ref: '#/components/responses/403_resp_common'
      description: 'Retrieves available LLM models from supported LLM providers: OpenAI, Anthropic, and Google.'
      security:
      - OAuth2:
        - ai.agent_read
      tags:
      - Model
    servers:
    - url: https://api.emporix.io
components:
  schemas:
    ErrorMessage:
      type: object
      properties:
        code:
          type: integer
        type:
          type: string
        message:
          type: string
        moreInfo:
          type: string
        details:
          type: array
          items:
            type: object
            properties:
              field:
                type: string
              type:
                type: string
              message:
                type: string
              moreInfo:
                type: string
      description: ''
    ModelResponse:
      type: object
      properties:
        id:
          type: string
          description: Model identifier to use in agent LLM configuration.
          example: gpt-4.1-mini
        name:
          type: string
          description: Display name of the model.
          example: gpt-4.1-mini
        description:
          type: string
          description: Short description of the model. Available for some providers, such as Google.
          example: Gemini 3.1 Flash Lite
        thinking:
          type: boolean
          description: Indicates whether the model supports thinking capabilities.
          example: true
      required:
      - id
      - name
    ApiKeyLlmProvider:
      type: string
      description: Type of the LLM Provider. The supported providers allows you to provide your own API key. When using this providers, the `apiKey` property cannot be omitted.
      enum:
      - openai
      - google
      - anthropic
      example: openai
    ErrorMessageFault:
      type: object
      properties:
        fault:
          type: object
          properties:
            faultstring:
              type: string
            detail:
              type: object
              properties:
                errorcode:
                  type: string
    ProviderModelsResponse:
      type: object
      properties:
        provider:
          $ref: '#/components/schemas/ApiKeyLlmProvider'
        models:
          type: array
          description: List of models available for the provider.
          items:
            $ref: '#/components/schemas/ModelResponse'
      required:
      - provider
      - models
  responses:
    403_resp_common:
      description: Authorization scopes of the access token are not sufficient and do not match the scopes required by the endpoint.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/ErrorMessage'
          examples:
            Access forbidden:
              value:
                code: 403
                status: Forbidden
                message: The access to the requested resource has been forbidden by the server.
    401_resp_common:
      description: The authorization token is invalid or has expired.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/ErrorMessageFault'
          examples:
            Invalid access token:
              value:
                fault:
                  faultstring: Invalid access token
                  detail:
                    errorcode: oauth.v2.InvalidAccessToken
            Access token expired:
              value:
                fault:
                  faultstring: Access Token expired
                  detail:
                    errorcode: keymanagement.service.access_token_expired
  parameters:
    path_tenant:
      name: tenant
      in: path
      required: true
      schema:
        type: string
      description: 'Your Emporix tenant name.


        **Note**: The tenant name should always be provided in lowercase.

        '
  examples:
    ProviderModelsResponse:
      value:
      - provider: openai
        models:
        - id: gpt-4.1-mini
          name: gpt-4.1-mini
      - provider: anthropic
        models:
        - id: claude-opus-4-6
          name: Claude Opus 4.6
          thinking: true
        - id: claude-haiku-3-5
          name: Claude Haiku 3.5
          thinking: false
      - provider: google
        models:
        - id: gemini-3.1-flash-lite
          name: Gemini 3.1 Flash Lite
          description: Gemini 3.1 Flash Lite
          thinking: true
  securitySchemes:
    OAuth2:
      type: oauth2
      flows:
        clientCredentials:
          scopes:
            ai.text_manage: Needed to execute actions related to the text generation.
            ai.completion_manage: Needed to execute actions related to the AI completions.
            ai.agentexecution_manage: Needed to execute agentic chat.
            ai.agentexecution_manage_own: Needed to execute agentic chat by customers.
            ai.agent_read: Needed to read AI agents.
            ai.agent_manage: Needed to manage AI agents.
          tokenUrl: https://api.emporix.io/oauth/token
x-refined-from:
- emporix-ai-service-openapi.yml
- emporix-ai-service-openapi.yml