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

# List models

> Retrieve a list of all available models.



## OpenAPI

````yaml get /v1/flow/models
openapi: 3.1.0
info:
  title: SeekrFlow API
  description: SeekrFlow API Documentation
  termsOfService: http://www.seekr.com/support
  contact:
    name: Seekr API Support
    url: http://www.seekr.com/contact
    email: contact@seekr.com
  version: 5.137.4
servers:
  - url: https://flow.seekr.com
    description: SeekrBuild server base URL
security: []
paths:
  /v1/flow/models:
    get:
      tags:
        - Models
      summary: Ml Models
      operationId: ml_models_v1_flow_models_get
      parameters:
        - name: model_type
          in: query
          required: false
          schema:
            anyOf:
              - $ref: '#/components/schemas/MLModelType'
              - type: 'null'
            title: Model Type
      responses:
        '200':
          description: Success
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GetMLModelsResponse'
        '422':
          description: Invalid request parameters
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      security:
        - APIKeyHeader: []
components:
  schemas:
    MLModelType:
      type: string
      enum:
        - Base
        - Instruct
        - Embedding
      title: MLModelType
    GetMLModelsResponse:
      properties:
        data:
          items:
            $ref: '#/components/schemas/MLModel'
          type: array
          title: Data
      type: object
      required:
        - data
      title: GetMLModelsResponse
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError
    MLModel:
      properties:
        id:
          type: integer
          title: Id
          description: >-
            Internal numeric identifier for the catalog entry. This is not the
            value used to specify a model in a request. Use `name` for that.
        name:
          type: string
          maxLength: 100
          minLength: 5
          title: Name
          description: >-
            The full model identifier, for example
            `ibm-granite/granite-embedding-311m-multilingual-r2`. Use this value
            wherever a model is specified.
        source:
          type: string
          maxLength: 100
          minLength: 1
          title: Source
          description: The organization that published the model.
        description:
          type: string
          maxLength: 1000
          minLength: 5
          title: Description
          description: Short summary of the model's intended use and strengths.
        size:
          type: integer
          title: Size
          description: >-
            Parameter count for the model. This is a count of parameters, not a
            size in bytes.
        logo:
          anyOf:
            - type: string
            - type: 'null'
          title: Logo
          description: >-
            URL of the publisher's logo, used by the model library in the UI.
            `null` when no logo is available.
        category:
          anyOf:
            - type: string
            - type: 'null'
          title: Category
          description: >-
            Grouping label used by the model library in the UI. `null` when the
            model is uncategorized.
        model_type:
          $ref: '#/components/schemas/MLModelType'
          description: >-
            Whether the model is a `Base` model, an `Instruct` model, or an
            `Embedding` model.
        inference_available:
          type: boolean
          title: Inference Available
          description: Whether the model can serve inference requests.
        training_available:
          type: boolean
          title: Training Available
          description: >-
            Whether the model can be used as the starting point for a
            fine-tuning job.
        deployment_available:
          type: boolean
          title: Deployment Available
          description: Whether the model can be deployed for inference.
        supports_lora:
          type: boolean
          title: Supports Lora
          description: >-
            Whether the model supports LoRA fine-tuning. When `true`,
            `max_lora_rank` reports the highest rank accepted.
        max_lora_rank:
          anyOf:
            - type: integer
              exclusiveMinimum: 0
            - type: 'null'
          title: Max Lora Rank
          description: >-
            The highest LoRA rank the model accepts. `null` when the model does
            not support LoRA fine-tuning.
        vision_model:
          type: boolean
          title: Vision Model
          description: Whether the model accepts image input alongside text.
        hf_revision:
          anyOf:
            - type: string
              maxLength: 128
              minLength: 1
            - type: 'null'
          title: Hf Revision
          description: >-
            The Hugging Face revision the model is pinned to. `null` when the
            model is not sourced from Hugging Face.
        internal_only:
          type: boolean
          title: Internal Only
          description: Whether the model is restricted to internal use.
        embedding_dimension:
          anyOf:
            - type: integer
              exclusiveMinimum: 0
            - type: 'null'
          title: Embedding Dimension
          description: >-
            The length of the vector this model produces. Applies to embedding
            models; `null` when the model is not an embedding model or the
            dimension is not reported.
        country_of_origin:
          anyOf:
            - type: string
              maxLength: 100
            - type: 'null'
          title: Country Of Origin
          description: >-
            The country the model originated from. `null` when the model has no
            single country of origin. This happens when a model's corporate
            parent and development lab are based in different countries, or when
            it was fine-tuned in one country from a base model developed in
            another.
      type: object
      required:
        - id
        - name
        - source
        - description
        - size
        - model_type
        - inference_available
        - training_available
        - deployment_available
        - supports_lora
        - vision_model
        - internal_only
      title: MLModel
    ValidationError:
      properties:
        loc:
          items:
            anyOf:
              - type: string
              - type: integer
          type: array
          title: Location
        msg:
          type: string
          title: Message
        type:
          type: string
          title: Error Type
        input:
          title: Input
        ctx:
          type: object
          title: Context
      type: object
      required:
        - loc
        - msg
        - type
      title: ValidationError
  securitySchemes:
    APIKeyHeader:
      type: apiKey
      description: >-
        Your Seekr API key, sent in the Authorization header with no 'Bearer'
        prefix.
      in: header
      name: Authorization

````

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