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

# List models

> Every trained model, where its weights are, and how it can be served. Requires compute `read` access.



## OpenAPI

````yaml /api-reference/openapi.json get /v1/training/models
openapi: 3.0.3
info:
  title: AI Reserve Gateway API
  description: >-
    The AI Reserve API surface — OpenAI-compatible chat completions,
    Anthropic-compatible messages, Bedrock Converse, images, video, files,
    text-to-speech, realtime voice sessions, provider-hidden GPU infrastructure,
    and fine-tuning — all behind one endpoint and one API key.
  version: 1.0.0
servers:
  - url: https://api.aireserve.com
security:
  - bearerAuth: []
tags:
  - name: Customers
    description: >-
      Per-end-customer usage, cost, and billable amounts for organizations that
      tag requests with their own customers.
  - name: GPU Infrastructure
    description: >-
      Provision and manage provider-hidden GPU instances. The recommended
      Instances API accepts workload requirements and an hourly price ceiling;
      AI Reserve handles provider placement internally. Every mutation is
      asynchronous and returns an operation to poll.
  - name: Customer keys
    description: >-
      Mint, list, and revoke API keys pinned to your own end customers (and
      their organizations), so spend splits per customer without per-request
      tagging.
  - name: AWS CLI login
    description: >-
      Browser-authorization endpoints consumed by `aws login --profile …` (AWS
      CLI v2.32.0+). All three routes are unauthenticated — the caller has no
      credential until `/v1/token` succeeds.
  - name: Fine-tuning
    description: >-
      Fine-tune open models on your own data. Data lives in an S3 bucket inside
      your organization's AWS hub account; you name a base, LoRA or full, a
      price ceiling and how the result must be servable, and AI Reserve places
      the run on a backend internally. The result is a model in your bucket you
      can deploy or download.
paths:
  /v1/training/models:
    get:
      tags:
        - Fine-tuning
      summary: List models
      description: >-
        Every trained model, where its weights are, and how it can be served.
        Requires compute `read` access.
      operationId: listTrainingModels
      parameters: []
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                type: object
                properties:
                  data:
                    type: array
                    items:
                      type: object
                      properties:
                        id:
                          type: string
                          format: uuid
                          pattern: >-
                            ^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$
                        jobId:
                          type: string
                          format: uuid
                          pattern: >-
                            ^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$
                        name:
                          type: string
                        baseModel:
                          type: string
                        method:
                          type: string
                          enum:
                            - lora
                            - full
                        kind:
                          type: string
                          enum:
                            - adapter
                            - checkpoint
                            - hosted-model
                        backend:
                          type: string
                        artifactState:
                          type: string
                          enum:
                            - pending
                            - copying
                            - stored
                            - unavailable
                            - failed
                        s3Uri:
                          nullable: true
                          description: >-
                            `s3://<bucket>/models/<id>/` once the weights are in
                            your bucket.
                          type: string
                        bytes:
                          nullable: true
                          type: number
                        files:
                          type: array
                          items:
                            type: object
                            properties:
                              key:
                                type: string
                              bytes:
                                type: number
                            required:
                              - key
                              - bytes
                            additionalProperties: false
                        servingOptions:
                          type: array
                          items:
                            type: string
                            enum:
                              - serverless
                              - dedicated
                              - download
                        createdAt:
                          type: string
                      required:
                        - id
                        - jobId
                        - name
                        - baseModel
                        - method
                        - kind
                        - backend
                        - artifactState
                        - s3Uri
                        - bytes
                        - files
                        - servingOptions
                        - createdAt
                      additionalProperties: false
                required:
                  - data
                additionalProperties: false
        '400':
          description: Invalid request or schema violation.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainingError'
        '401':
          description: Missing or invalid API key.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainingError'
        '403':
          description: Key lacks the required compute access (`read` or `manage`).
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainingError'
        '404':
          description: Resource not found or owned by another organization.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainingError'
      security:
        - bearerAuth: []
        - apiKeyAuth: []
components:
  schemas:
    TrainingError:
      type: object
      properties:
        error:
          type: object
          properties:
            message:
              type: string
            type:
              type: string
              enum:
                - invalid_request_error
            param:
              type: string
              nullable: true
              enum:
                - null
            code:
              type: string
            details:
              type: object
              additionalProperties: {}
          required:
            - message
            - type
            - param
            - code
          additionalProperties: false
      required:
        - error
      additionalProperties: false
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: >-
        Your AI Reserve API key (aireserve_api_…) from the API Keys page in the
        portal (https://portal.aireserve.com/keys).
    apiKeyAuth:
      type: apiKey
      in: header
      name: x-api-key
      description: The same API key sent as an `x-api-key` header.

````

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