Cast AI LLM Requests API

openapi: 3.2.0
info:
  title: AI Enabler LLM Requests API
  version: 0.0.1
  description: Provides an API to read LLM inference request logs.
servers:
- url: https://api.cast.ai/
  description: US endpoint
- url: https://api.eu.cast.ai/
  description: EU endpoint
security:
- BearerAuth: []
- ApiKeyAuth: []
tags:
- name: LLMRequestsAPI
  description: Provides an API to read LLM inference request logs.
paths:
  /ai-optimizer/v1beta/organizations/{organizationId}/llm-requests:
    get:
      tags:
      - LLMRequestsAPI
      summary: List LLM Requests
      description: 'Lists individual LLM request entries (chat completion inference logs) with

        pagination and filtering, for a log-viewer style read path.'
      operationId: LLMRequestsAPI_ListLLMRequests
      parameters:
      - name: organizationId
        in: path
        description: The ID of the organization.
        required: true
        schema:
          type: string
      - name: startTime
        in: query
        description: Start of the time window. Defaults to 7 days ago. Bypassed when request_id is set.
        schema:
          type: string
          format: date-time
      - name: endTime
        in: query
        description: End of the time window. Defaults to now. Bypassed when request_id is set.
        schema:
          type: string
          format: date-time
      - name: page.limit
        in: query
        description: Defines the number of items that should be returned
        schema:
          type: string
      - name: page.cursor
        in: query
        description: "Cursor that defines token indicating where to start the next page.\n Empty value indicates to start from beginning of the dataset."
        schema:
          type: string
      - name: sort.field
        in: query
        description: The field name to order by. Nested fields can be specified by using a dot (e.g. user.name).
        schema:
          type: string
      - name: sort.order
        in: query
        description: The order of returned items. Default is ASC.
        schema:
          enum:
          - ASC
          - asc
          - DESC
          - desc
          type: string
          format: enum
      - name: models
        in: query
        description: Filter by model names. Empty = all models.
        schema:
          type: array
          items:
            type: string
      - name: providers
        in: query
        description: Filter by provider types (e.g. "openai", "groq"). Empty = all providers.
        schema:
          type: array
          items:
            type: string
      - name: providerNames
        in: query
        description: Filter by provider names (user-defined config aliases). Empty = all.
        schema:
          type: array
          items:
            type: string
      - name: agentSources
        in: query
        description: Filter by agent sources (OTEL client identities, e.g. "claude-code", "pi"). Empty = all.
        schema:
          type: array
          items:
            type: string
      - name: castaiApiKeyIds
        in: query
        description: Filter by CAST AI API key IDs. Empty = all.
        schema:
          type: array
          items:
            type: string
      - name: castaiApiKeyOwnerTypes
        in: query
        description: Filter by API key owner types ("serviceAccount" or "user"). Empty = all.
        schema:
          type: array
          items:
            type: string
      - name: castaiApiKeyOwnerIds
        in: query
        description: Filter by API key owner IDs. Empty = all.
        schema:
          type: array
          items:
            type: string
      - name: teamIds
        in: query
        description: Filter by team IDs. Empty = all.
        schema:
          type: array
          items:
            type: string
      - name: tags
        in: query
        description: Filter by request tags. Each entry is "key" or "key:value". Empty = all.
        schema:
          type: array
          items:
            type: string
      - name: tagMatchMode
        in: query
        description: How multiple tags entries are combined. UNSPECIFIED behaves like ALL.
        schema:
          enum:
          - ANALYTICS_TAG_MATCH_MODE_UNSPECIFIED
          - ANALYTICS_TAG_MATCH_MODE_ALL
          - ANALYTICS_TAG_MATCH_MODE_ANY_OF_KEY
          - ANALYTICS_TAG_MATCH_MODE_ANY
          type: string
          format: enum
      - name: statuses
        in: query
        description: Filter by response status class. Empty = all statuses.
        schema:
          type: array
          items:
            enum:
            - STATUS_UNSPECIFIED
            - SUCCESS
            - ERROR
            type: string
            format: enum
      - name: minTotalPrice
        in: query
        description: Minimum total price (USD), inclusive.
        schema:
          type: number
          format: double
      - name: maxTotalPrice
        in: query
        description: Maximum total price (USD), inclusive.
        schema:
          type: number
          format: double
      - name: minTotalTokens
        in: query
        description: Minimum total tokens, inclusive.
        schema:
          type: string
      - name: maxTotalTokens
        in: query
        description: Maximum total tokens, inclusive.
        schema:
          type: string
      - name: minResponseDuration
        in: query
        description: Minimum response duration, inclusive.
        schema:
          pattern: ^-?(?:0|[1-9][0-9]{0,11})(?:\.[0-9]{1,9})?s$
          type: string
          description: Represents a duration between -315,576,000,000s and 315,576,000,000s (around 10000 years). Precision is in nanoseconds. 1 nanosecond is represented as 0.000000001s
      - name: maxResponseDuration
        in: query
        description: Maximum response duration, inclusive.
        schema:
          pattern: ^-?(?:0|[1-9][0-9]{0,11})(?:\.[0-9]{1,9})?s$
          type: string
          description: Represents a duration between -315,576,000,000s and 315,576,000,000s (around 10000 years). Precision is in nanoseconds. 1 nanosecond is represented as 0.000000001s
      - name: requestId
        in: query
        description: Exact request ID lookup. When set, the time window is bypassed entirely.
        schema:
          type: string
      - name: sessionId
        in: query
        description: Filter by session ID.
        schema:
          type: string
      - name: inferUserFromApiKey
        in: query
        description: When true, filters results by the API key owner ID from the auth token.
        schema:
          type: boolean
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ListLLMRequestsResponse'
        default:
          description: Default error response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Status'
components:
  schemas:
    Status:
      type: object
      properties:
        code:
          type: integer
          description: The status code, which should be an enum value of [google.rpc.Code][google.rpc.Code].
          format: int32
        message:
          type: string
          description: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the [google.rpc.Status.details][google.rpc.Status.details] field, or localized by the client.
        details:
          type: array
          items:
            $ref: '#/components/schemas/GoogleProtobufAny'
          description: A list of messages that carry the error details.  There is a common set of message types for APIs to use.
      description: 'The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).'
    LLMRequest:
      type: object
      properties:
        id:
          type: string
          description: Request UUID.
        createTime:
          type: string
          description: Request time.
          format: date-time
        provider:
          type: string
          description: Provider type (e.g. "openai", "groq").
        providerName:
          type: string
          description: User-defined provider config name.
        agentSource:
          type: string
          description: OTEL client identity (e.g. "claude-code"); empty for non-OTEL clients.
        model:
          type: string
          description: Model used for the request.
        originalModel:
          type: string
          description: Model originally requested before routing.
        recommendedModel:
          type: string
          description: Model the KNN router recommended.
        recommendedProvider:
          type: string
          description: Provider for the recommended model.
        routed:
          type: boolean
          description: Whether the request was routed to a different model.
        recovered:
          type: boolean
          description: Whether the request failed initially but was recovered by retry.
        apiKeyAlias:
          type: string
          description: API key alias name.
        castaiApiKeyId:
          type: string
          description: CAST AI API key ID.
        castaiApiKeyOwnerType:
          type: string
          description: API key owner type ("serviceAccount" or "user").
        castaiApiKeyOwnerId:
          type: string
          description: API key owner ID.
        teamId:
          type: string
          description: Team ID, when attributed.
        userAgent:
          type: string
          description: Client user agent.
        clusterId:
          type: string
          description: Cluster ID for self-hosted inference.
        workloadLabels:
          type: object
          additionalProperties:
            type: string
          description: Workload labels for self-hosted inference.
        sessionId:
          type: string
          description: Client-provided session ID.
        parentSessionId:
          type: string
          description: Parent session ID for subagent runs.
        turnIndex:
          type: integer
          description: Per-session turn number.
          format: uint32
        promptTokens:
          type: string
          description: Number of input/prompt tokens.
        completionTokens:
          type: string
          description: Number of output/completion tokens.
        totalTokens:
          type: string
          description: Total tokens.
        cacheReadInputTokens:
          type: string
          description: Cache read input tokens.
        cacheCreationFiveMinuteTokens:
          type: string
          description: Five-minute cache creation tokens.
        cacheCreationOneHourTokens:
          type: string
          description: One-hour cache creation tokens.
        webSearchRequests:
          type: string
          description: Number of web search requests.
        promptPrice:
          type: string
          description: Prompt/input price as a decimal string.
        completionPrice:
          type: string
          description: Completion/output price as a decimal string.
        totalPrice:
          type: string
          description: Total price as a decimal string.
        cacheReadPrice:
          type: string
          description: Cache read price as a decimal string.
        cacheCreationPrice:
          type: string
          description: Cache creation price as a decimal string.
        recommendedTotalPrice:
          type: string
          description: '"What-if" total price if the recommended model had been used.'
        originalTotalPrice:
          type: string
          description: '"What-if" total price if the original model had been used.'
        responseStatusCode:
          type: integer
          description: HTTP response status code.
          format: uint32
        responseDuration:
          pattern: ^-?(?:0|[1-9][0-9]{0,11})(?:\.[0-9]{1,9})?s$
          type: string
          description: Response duration.
        finishReason:
          type: string
          description: Why the response ended ("stop", "length", "tool_calls", ...).
        messageCount:
          type: integer
          description: Number of messages in the request.
          format: uint32
        contextWindowSize:
          type: integer
          description: Model max input tokens resolved at proxy time.
          format: uint32
        contextUtilizationPct:
          type: number
          description: Prompt tokens as a percentage of the context window.
          format: float
        promptPreview:
          type: string
          description: "Bounded preview of the stored prompt (up to 512 chars). Empty when prompt\n storage is disabled for the request (prompt storage is opt-in)."
      description: "One LLM request entry (chat completion) projected for the list endpoint. Heavy\n payload columns (full prompt, tool calls, message hashes) are excluded from the\n list; use the bounded prompt_preview instead."
    ListLLMRequestsResponse:
      type: object
      properties:
        items:
          type: array
          items:
            $ref: '#/components/schemas/LLMRequest'
          description: The list of LLM request entries for the requested page.
        nextPageCursor:
          type: string
          description: "The pagination cursor to retrieve the next page. Empty when the end of the\n collection has been reached."
        totalCount:
          type: integer
          description: The total number of entries matching the filters (across all pages).
          format: int32
      description: Response message for listing LLM request entries.
    GoogleProtobufAny:
      type: object
      properties:
        '@type':
          type: string
          description: The type of the serialized message.
      additionalProperties: true
      description: Contains an arbitrary serialized message along with a @type that describes the type of the serialized message.
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT
    ApiKeyAuth:
      type: apiKey
      in: header
      name: X-API-Key
x-provenance:
  method: searched
  source: https://docs.cast.ai/reference
  harvested: '2026-10-20'
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  note: Assembled verbatim from the OpenAPI definition ReadMe embeds in each operation page of the provider's developer portal; paths and components merged by API title, nothing authored.
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  - https://docs.cast.ai/reference/workspacesapi_listworkspaces.md
  - https://docs.cast.ai/reference/workspacesapi_resumeworkspace.md
  - https://docs.cast.ai/reference/workspacesapi_suspendworkspace.md
  - https://docs.cast.ai/reference/workspacesapi_upsertworkspace.md
  - https://docs.cast.ai/reference/workspacesessionsapi_listworkspacesessions.md
  - https://docs.cast.ai/reference/workspacetemplatesapi_createworkspacetemplate.md
  - https://docs.cast.ai/reference/workspacetemplatesapi_deleteworkspacetemplate.md
  - https://docs.cast.ai/reference/workspacetemplatesapi_getworkspacetemplate.md
  - https://docs.cast.ai/reference/workspacetemplatesapi_listworkspacetemplates.md
  - https://docs.cast.ai/reference/workspacetemplatesapi_updateworkspacetemplate.md
  - https://docs.cast.ai/reference/workspacetokensapi_exchangeworkspacetoken.md
  - https://docs.cast.ai/reference/workspacetokensapi_keyverify.md
  merge:
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