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

# list_ai_models

> **List AI models**

List the AI models this account can use in a tool's `model` field, as `{ id, name, thinking, inputPrice, outputPrice }` in display order. External MCP clients can request the `llm_column` and `agent_search` catalogs. Availability depends on account settings, and only a listed `id`, passed verbatim, is accepted. Prices are USD per million tokens, or null when unknown. `agent_search` models also report `provider`, `available`, `evidence` and maintained `pricing`, and only `available` ones can run.



## OpenAPI

````yaml /api-reference/tools-openapi.json post /v1/list_ai_models
openapi: 3.1.0
info:
  title: Rippit API
  version: 1.0.0
  description: Every operation is also an MCP tool with the same name and parameters.
servers:
  - url: https://api.rippit.com
security:
  - bearer: []
paths:
  /v1/list_ai_models:
    post:
      summary: list_ai_models
      description: >-
        **List AI models**


        List the AI models this account can use in a tool's `model` field, as `{
        id, name, thinking, inputPrice, outputPrice }` in display order.
        External MCP clients can request the `llm_column` and `agent_search`
        catalogs. Availability depends on account settings, and only a listed
        `id`, passed verbatim, is accepted. Prices are USD per million tokens,
        or null when unknown. `agent_search` models also report `provider`,
        `available`, `evidence` and maintained `pricing`, and only `available`
        ones can run.
      operationId: list_ai_models
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                useCase:
                  description: >-
                    Catalog (default llm_column): llm_column for the
                    enrich_worksheet `model`; agent_search for the agent_search
                    `models`.
                  type: string
                  enum:
                    - llm_column
                    - agent_search
              additionalProperties: false
      responses:
        '200':
          description: Tool result.
components:
  securitySchemes:
    bearer:
      type: http
      scheme: bearer

````

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