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

# Create inference results batch

> Create multiple inference results from conversation turns. Identify the session with exactly one of `sessionId` or `sessionCustomId` (same find-existing semantics as `POST /inferenceResults`). See [Inference Results](https://docs.galtea.ai/concepts/product/version/session/inference-result).




## OpenAPI

````yaml https://api.galtea.ai/openapi.json post /inferenceResults/batch
openapi: 3.0.0
info:
  version: 1.0.0
  title: Product Management Service API
  description: API documentation for Product Management Service
  contact:
    name: Galtea AI
servers:
  - url: https://api.galtea.ai
security:
  - bearerAuth: []
tags: []
externalDocs:
  description: Galtea Platform Documentation
  url: https://docs.galtea.ai
paths:
  /inferenceResults/batch:
    post:
      tags:
        - inference-results
      summary: Create inference results batch
      description: >
        Create multiple inference results from conversation turns. Identify the
        session with exactly one of `sessionId` or `sessionCustomId` (same
        find-existing semantics as `POST /inferenceResults`). See [Inference
        Results](https://docs.galtea.ai/concepts/product/version/session/inference-result).
      operationId: createInferenceResultsBatch
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
                - conversationTurns
              properties:
                sessionId:
                  type: string
                  description: ID of the session. Provide this or `sessionCustomId`.
                  example: session_123
                sessionCustomId:
                  type: string
                  description: >
                    Your own conversation id. An existing session with this
                    custom id is found and appended to; if none matches the call
                    returns a 400, so create the session first through the
                    sessions API. Requires `versionId` or `productId`. Provide
                    this or `sessionId`.
                  example: my-conversation-42
                versionId:
                  type: string
                  description: >
                    Version anchor for the `sessionCustomId` lookup. Provide
                    this or `productId`; if both are given, `versionId` wins.
                  example: ver_123
                productId:
                  type: string
                  description: >
                    Product anchor for the `sessionCustomId` lookup when no
                    `versionId` is given: the existing session with that custom
                    id is found across the product's versions.
                  example: prod_123
                conversationTurns:
                  type: array
                  items:
                    type: object
      responses:
        '201':
          description: Inference results created successfully
          content:
            application/json:
              schema:
                type: array
                items:
                  $ref: '#/components/schemas/InferenceResult'
        '401':
          description: Unauthorized
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
      security:
        - bearerAuth: []
components:
  schemas:
    InferenceResult:
      type: object
      properties:
        id:
          type: string
          example: ir_123
        sessionId:
          type: string
          example: session_123
        userId:
          type: string
          nullable: true
          example: user_123
        index:
          type: integer
          example: 0
          description: Order index within the session
        status:
          type: string
          enum:
            - PENDING
            - GENERATED
            - FAILED
            - SKIPPED
          example: PENDING
        error:
          type: string
          nullable: true
          description: >-
            Error message explaining why this inference result failed or was
            skipped
          example: null
        input:
          type: object
          nullable: true
          description: >-
            Structured input data. For plain text input, format is {
            user_message: "..." }
          example:
            user_message: User input text
        actualOutput:
          oneOf:
            - type: string
            - type: object
          nullable: true
          description: >-
            The agent turn output. Plain text by default (the scored scalar).
            For voice turns, an envelope { assistant_message, content: [{ type,
            uri, transcript }] } carrying audio parts — the scored scalar stays
            the canonical transcript.
          example: Model response
        latency:
          type: integer
          nullable: true
          example: 150
        inputTokens:
          type: integer
          nullable: true
          example: 100
        outputTokens:
          type: integer
          nullable: true
          example: 50
        cacheReadInputTokens:
          type: integer
          nullable: true
          example: 20
        tokens:
          type: integer
          nullable: true
          example: 150
          description: Total tokens
        costPerInputToken:
          type: number
          nullable: true
          example: 0.00001
        costPerOutputToken:
          type: number
          nullable: true
          example: 0.00003
        costPerCacheReadInputToken:
          type: number
          nullable: true
          example: 0.000005
        cost:
          type: number
          nullable: true
          example: 0.001
        creditsUsed:
          type: integer
          nullable: true
          example: 1
        conversationSimulatorVersion:
          type: string
          nullable: true
          example: 1.0.0
        traceId:
          type: string
          nullable: true
          example: a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4
          description: >-
            W3C trace ID for the root span created during direct inference. The
            same trace ID is propagated to the user endpoint via the traceparent
            header.
        createdAt:
          type: string
          format: date-time
        deletedAt:
          type: string
          format: date-time
          nullable: true
    Error:
      type: object
      properties:
        error:
          type: string
          example: Error type
        message:
          type: string
          example: Error message description
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: >-
        API key authorization. Pass your API key in the Authorization header as
        a Bearer token. Both new (`gsk_*`) and legacy (`gsk-`) API keys are
        accepted, e.g. `Authorization: Bearer gsk_...` or `Authorization: Bearer
        gsk-...`.

````