> ## 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.

# The base models that can be fine-tuned, with the methods (lora/full) and serving modes available for each

> The base models that can be fine-tuned, with the methods (lora/full) and serving modes available for each. Runs as the token's owner within their role; the portal's own authorization and audit log apply.



## OpenAPI

````yaml /api-reference/openapi.json post /v1/admin/list_training_bases
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.
  - name: 'Admin: Catalog'
    description: Discover the operations available to this token.
  - name: 'Admin: Analytics'
    description: Usage, spend and attribution reads.
  - name: 'Admin: API Keys'
    description: Organization and team inference keys.
  - name: 'Admin: Billing'
    description: Wallet, ledger and invoice reads.
  - name: 'Admin: Compute'
    description: GPU machines and persistent storage (quote, launch, inspect, stop).
  - name: 'Admin: Containers'
    description: The organization's AWS account, ECS services, logs and secrets.
  - name: 'Admin: Files'
    description: Organization shared files.
  - name: 'Admin: Members'
    description: 'People in the organization: invite, profile, team, access, role.'
  - name: 'Admin: Models & Routing'
    description: Model availability, defaults, fallbacks and routing.
  - name: 'Admin: Organization'
    description: Retention, logging, branding, sign-in domains, classification.
  - name: 'Admin: Personal'
    description: The caller's own usage, budget, API keys and preferences.
  - name: 'Admin: Teams & Budgets'
    description: Teams, spend caps and allocations.
  - name: 'Admin: Training'
    description: Fine-tuning datasets, runs, models and deployments.
paths:
  /v1/admin/list_training_bases:
    post:
      tags:
        - 'Admin: Training'
      summary: >-
        The base models that can be fine-tuned, with the methods (lora/full) and
        serving modes available for each
      description: >-
        The base models that can be fine-tuned, with the methods (lora/full) and
        serving modes available for each. Runs as the token's owner within their
        role; the portal's own authorization and audit log apply.
      operationId: list_training_bases
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties: {}
      responses:
        '200':
          description: 'Executed successfully (`ok: true`).'
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AdminOutcome'
        '400':
          description: Invalid input for this operation, or a confirm token problem.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AdminRefusal'
        '401':
          description: >-
            Missing, expired or revoked management token. Inference API keys are
            refused.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AdminAuthError'
        '403':
          description: The operation is not available at the caller's access level.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AdminRefusal'
        '404':
          description: Unknown operation id.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AdminRefusal'
        '409':
          description: The target changed since it was described (`target_changed`).
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AdminRefusal'
        '422':
          description: >-
            Executed but the operation reported a failure (`ok: false`, see
            `message`).
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AdminOutcome'
        '429':
          description: Organization request budget exhausted; see `Retry-After`.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AdminAuthError'
      security:
        - managementToken: []
components:
  schemas:
    AdminOutcome:
      type: object
      properties:
        status:
          type: string
          enum:
            - executed
        ok:
          type: boolean
          description: Whether the operation succeeded.
        summary:
          type: string
          description: >-
            The consent line describing what was done, built from resolved
            labels.
        message:
          type: string
          description: Human-readable result line.
        data:
          description: Operation payload (reads) or detail worth relaying (writes).
        secret:
          description: >-
            A one-time secret the operation minted (API key, credential). Shown
            once; store it now.
          type: string
        sensitive:
          description: 'Present exactly when `secret` is: redact this response from logs.'
          type: boolean
          enum:
            - true
      required:
        - status
        - ok
        - summary
        - message
      additionalProperties: false
    AdminRefusal:
      type: object
      properties:
        status:
          type: string
          enum:
            - refused
        code:
          type: string
          enum:
            - unknown_op
            - not_allowed
            - invalid_input
            - confirm_invalid
            - confirm_expired
            - target_changed
        error:
          type: string
      required:
        - status
        - code
        - error
      additionalProperties: false
    AdminAuthError:
      type: object
      properties:
        error:
          type: string
        error_description:
          type: string
      required:
        - error
        - error_description
      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).
    managementToken:
      type: http
      scheme: bearer
      bearerFormat: aireserve_mcp_…
      description: >-
        A management token: minted by the OAuth flow (`aireserve login`, or an
        MCP client's Authenticate step) or on the portal Keys page under
        Management Keys. Inference API keys are refused.

````

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