Jasper Tasks API

The Tasks API from Jasper — 4 operation(s) for tasks.

Operations 4

GET /v1/tasks List all agent tasks #
GET /v1/tasks/{id} Get agent task by ID #
POST /v1/tasks/{id}/run Run an agent task #
POST /v1/tasks/{id}/run/stream Run an agent task with streaming response #

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OpenAPI Specification

jasper-tasks-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: Jasper Tasks API
  description: Jasper API
  version: '1.0'
  contact: {}
servers:
- url: https://api.jasper.ai
tags:
- name: Tasks
  description: ''
paths:
  /v1/tasks:
    get:
      description: Retrieve all agent tasks available in your workspace including public agent tasks and custom workspace agent tasks
      operationId: listTasks
      parameters:
      - name: size
        required: false
        in: query
        description: Number of agent tasks to return per page
        schema:
          minimum: 1
          maximum: 100
          default: 100
          example: 100
          type: number
      - name: page
        required: false
        in: query
        description: Page number (1-indexed)
        schema:
          minimum: 1
          default: 1
          example: 1
          type: number
      - name: scope
        required: false
        in: query
        description: 'Filter by agent task scope: PUBLIC or WORKSPACE'
        schema:
          example: PUBLIC
          type: string
          enum:
          - USER
          - WORKSPACE
          - PUBLIC
      - name: includeContextItems
        required: false
        in: query
        description: Include context items (input fields) in the response for the task to be executed by the agent. Default is false.
        schema:
          default: false
          example: false
          type: boolean
      - name: includeCategories
        required: false
        in: query
        description: Include categories for the agent tasks in the response. Default is false.
        schema:
          default: false
          example: false
          type: boolean
      - name: searchTerm
        required: false
        in: query
        description: Search term to filter agent tasks by name, description, categories, or tags. Performs partial case-insensitive matching.
        schema:
          example: blog
          type: string
      responses:
        '200':
          description: Successfully retrieved list of agent tasks
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TasksListResponseDto'
        '500':
          description: Internal server error. Unable to get agent tasks.
      security:
      - X-API-Key: []
      - oauth2:
        - user:read
      summary: List all agent tasks
      tags:
      - Tasks
  /v1/tasks/{id}:
    get:
      description: Retrieve a specific agent task by its unique identifier
      operationId: getTaskById
      parameters:
      - name: id
        required: true
        in: path
        description: The external ID (agt_…) or internal UUID of the agent task
        schema:
          example: agt_0190f3a1b2c34d5e6f7a8b9c0d1e2f3a
          type: string
      - name: version
        required: false
        in: query
        description: The agent task version to filter by. If not provided, the latest version will be used.
        schema:
          type: number
      responses:
        '200':
          description: Successfully retrieved agent task
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TaskResponseDto'
        '404':
          description: Agent task not found. The specified app ID may not exist or you may not have access to it.
        '500':
          description: Internal server error. Unable to get agent task.
      security:
      - X-API-Key: []
      - oauth2:
        - user:read
      summary: Get agent task by ID
      tags:
      - Tasks
  /v1/tasks/{id}/run:
    post:
      description: Execute an agent task by ID to generate AI output. Provide the necessary context items and configuration in the request body.
      operationId: runTask
      parameters:
      - name: id
        required: true
        in: path
        description: The external ID (agt_…) or internal UUID of the agent task to run
        schema:
          example: agt_0190f3a1b2c34d5e6f7a8b9c0d1e2f3a
          type: string
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/TaskRunDto'
      responses:
        '200':
          description: Successfully executed agent task and generated output
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TaskRunResponseDto'
        '400':
          description: Bad Request. The request body may be missing required fields or contain invalid data. Check the agent task input schema.
        '404':
          description: Agent task not found. The specified app ID may not exist.
        '500':
          description: Internal server error. Unable to run agent task.
      security:
      - X-API-Key: []
      - oauth2:
        - user
      summary: Run an agent task
      tags:
      - Tasks
  /v1/tasks/{id}/run/stream:
    post:
      description: Execute an agent task by ID to generate AI output with Server-Sent Events (SSE) streaming. Provides real-time content as it is generated.
      operationId: runTaskStream
      parameters:
      - name: id
        required: true
        in: path
        description: The external ID (agt_…) or internal UUID of the agent task to run
        schema:
          example: agt_0190f3a1b2c34d5e6f7a8b9c0d1e2f3a
          type: string
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/TaskRunDto'
      responses:
        '200':
          description: Stream of events containing step updates and content chunks
          content:
            application/json:
              schema:
                type: object
                description: SSE stream with multiple event types
                oneOf:
                - type: object
                  properties:
                    step:
                      type: object
                      properties:
                        id:
                          type: string
                          format: uuid
                        status:
                          type: string
                          enum:
                          - loading
                          - completed
                        label:
                          type: string
                  example:
                    step:
                      id: f1d3b309-67bd-4054-a852-8806bc1a5344
                      status: loading
                      label: Generating content
                - type: object
                  properties:
                    id:
                      type: string
                      format: uuid
                    content:
                      type: string
                    role:
                      type: string
                    usage:
                      type: object
                      nullable: true
                    skillId:
                      type: string
                      format: uuid
                    contentId:
                      type: string
                      format: uuid
                  example:
                    id: 155cb8fc-d483-49e1-9cb5-ae30c04f5ef0
                    content: .
                    role: JASPER
                    usage: null
                    skillId: 8c1ede2b-8067-4633-9ba9-2fa0c8f59a2f
                    contentId: 155cb8fc-d483-49e1-9cb5-ae30c04f5ef0
                - type: object
                  description: Error event sent during stream (HTTP 200 with error payload)
                  properties:
                    statusCode:
                      type: number
                    message:
                      type: string
                    error:
                      type: string
                  example:
                    statusCode: 400
                    message: app not found
                    error: HttpException
      security:
      - X-API-Key: []
      - oauth2:
        - user
      summary: Run an agent task with streaming response
      tags:
      - Tasks
components:
  schemas:
    TasksListResponseDto:
      type: object
      properties:
        requestId:
          type: string
          example: 07008c5a-f916-4bdc-bfda-e8f6c328f7c5
        resource:
          type: string
          example: tasks
        data:
          type: array
          items:
            $ref: '#/components/schemas/TaskResource'
        pagination:
          type: object
          example:
            totalRecords: 100
            page: 1
            pageSize: 25
            next: '2'
            prev: null
    TaskRunResultMetadata:
      type: object
      properties:
        credits:
          description: Credit cost of this run. Present only when the workspace meters this operation; reflects what was billed.
          allOf:
          - $ref: '#/components/schemas/TaskRunCreditCost'
        translation:
          description: Translation-specific run metadata. Present only for translation tasks that emit it.
          allOf:
          - $ref: '#/components/schemas/TranslationRunMetadata'
    TmsMatch:
      type: object
      properties:
        target:
          type: string
          example: Klicken Sie auf Speichern, um fortzufahren.
          description: Approved translation-memory target text for the source segment.
        score:
          type: number
          example: 1
          description: Match score between 0 and 1; higher is a closer match.
      required:
      - target
      - score
    TaskRunResult:
      type: object
      properties:
        output:
          description: Array of output items generated by the agent
          example:
          - type: TEXT
            value: This is the generated content from the agent...
          type: array
          items:
            $ref: '#/components/schemas/OutputItem'
        metadata:
          description: Optional run metadata. Present only for features that emit it (e.g. TMS segment matches).
          allOf:
          - $ref: '#/components/schemas/TaskRunResultMetadata'
      required:
      - output
    TmsSegmentMatchItem:
      type: object
      properties:
        sourceSegment:
          type: string
          example: Click Save to continue.
          description: The source segment that matched the translation memory
        matches:
          description: Approved translation-memory targets for this segment (highest score first)
          example:
          - target: Klicken Sie auf Speichern, um fortzufahren.
            score: 1
          type: array
          items:
            $ref: '#/components/schemas/TmsMatch'
      required:
      - sourceSegment
      - matches
    PredefinedContextItemDto:
      type: object
      properties:
        id:
          type: string
          description: Context item ID
          example: 729d2dd3-9ec6-4930-b216-48b8923671ca
        value:
          description: 'Context item value - format depends on the context item type:

            • INPUT, TEXTAREA, SELECT, IMAGE_ID, TOOL, CUSTOM: string

            • MULTISELECT, TAGS_INPUT: string[] (array of selected values)

            • KNOWLEDGE: KnowledgeItemDto[] (array of knowledge objects with knowledgeId and optional knowledgeExtractionPrompt)

            • CHECKBOX: string ("true" or "false")'
          examples:
            stringValue:
              summary: Text input (INPUT/TEXTAREA/SELECT/IMAGE_ID/TOOL/CUSTOM)
              value: Sample text content
            arrayValue:
              summary: Multi-select or tags (MULTISELECT/TAGS_INPUT)
              value:
              - option1
              - option2
              - option3
            knowledgeValue:
              summary: Knowledge items (KNOWLEDGE type)
              value:
              - knowledgeId: kno_123
                knowledgeExtractionPrompt: Extract statistics, facts, and important timeline information
            checkboxValue:
              summary: Checkbox (CHECKBOX type)
              value: 'true'
          oneOf:
          - type: string
          - type: array
            items:
              type: string
          - type: array
            items:
              type: object
              properties:
                knowledgeId:
                  type: string
                knowledgeExtractionPrompt:
                  type: string
      required:
      - id
      - value
    TaskRunDto:
      type: object
      properties:
        contextItems:
          type: array
          description: Array of context items - can include both predefined context items (with id and value) and custom context items (with name, question, and answer)
          example:
          - id: 70346737-878b-4329-a4d6-9a054efef508
            value:
            - Registration reminder email
            - Confirmation email
          - name: Greeting
            question: Who is the person that you want me to greet in the registration reminder email?
            answer: John Doe
          items:
            oneOf:
            - $ref: '#/components/schemas/PredefinedContextItemDto'
            - $ref: '#/components/schemas/CustomContextItemDto'
        version:
          type: number
          description: Agent task version (optional, defaults to latest)
          example: 1
        toLanguage:
          type: string
          description: Target output language for the completion (optional, defaults to EN-US)
          example: EN-US
        knowledgeIds:
          description: Array of knowledge IDs to use as context to power the agent
          example:
          - kno_123
          - kno_456
          type: array
          items:
            type: string
        attachmentIds:
          description: Array of temporary attachment IDs (prefixed `tmp_`) to use as ad-hoc context for this run. Create attachments up front via `POST /v1/attachments` and pass the returned IDs here. Temporary attachments are intended for short-lived context (the same attachment can be referenced across retries of the same run) and are not durable — use `knowledgeIds` for content that should persist in your workspace.
          example:
          - tmp_2ee766eaa4ef48e59da1d9602bfecf2d
          type: array
          items:
            type: string
        toneId:
          type: string
          description: Tone ID for the brand voice of the agent's output
          example: ton_2ee766eaa4ef48e59da1d9602bfecf2d
        audienceId:
          type: string
          description: The primary audience ID used to customize the agent's output for a target audience.
          example: aud_123
        additionalAudienceIds:
          description: Additional audience IDs to customize the agent's output for multiple target audiences in a single run, included alongside the primary `audienceId`.
          example:
          - aud_456
          - aud_789
          type: array
          items:
            type: string
        styleGuideId:
          type: string
          description: Style Guide ID to apply writing rules to the agent's output
          example: sty_123
        tools:
          type: array
          description: Array of tools to enable for agent task execution. Can include WEB_SEARCH and/or KNOWLEDGE_SEARCH
          example:
          - WEB_SEARCH
          - KNOWLEDGE_SEARCH
          default: []
          items:
            type: string
            enum:
            - WEB_SEARCH
            - KNOWLEDGE_SEARCH
      required:
      - contextItems
    OutputItem:
      type: object
      properties:
        type:
          type: string
          enum:
          - TEXT
          example: TEXT
          description: The type of output item
        value:
          type: string
          example: This is the generated content from the agent...
          description: The output value content
      required:
      - type
      - value
    CustomContextItemDto:
      type: object
      properties:
        name:
          type: string
          description: The name/label of the custom context item
          example: Greeting
        question:
          type: string
          description: The question/prompt for this context item (how it will be presented to the model)
          example: Who is the person that you want me to greet in the registration reminder email?
        answer:
          type: string
          description: The value/answer for this custom context item
          example: Tim Everett
        priority:
          type: number
          description: The priority of this context item (higher priority = more important)
          example: 1
          default: 0
      required:
      - name
      - question
      - answer
    TaskRunCreditCost:
      type: object
      properties:
        cost:
          type: number
          example: 40
          description: Credits this run cost on your workspace plan.
      required:
      - cost
    TaskContextItem:
      type: object
      properties:
        id:
          type: string
          example: 5e9f3d7b-9ec6-44e7-b752-3977fef34c18
          description: Unique identifier for the context item
        name:
          type: string
          example: Original text
          description: Name of the context item
        type:
          type: string
          enum:
          - TEXTAREA
          - INPUT
          - TAGS_INPUT
          - SELECT
          - MULTISELECT
          - CUSTOM
          - KNOWLEDGE
          - IMAGE_ID
          - TOOL
          - CHECKBOX
          example: TEXTAREA
          description: Type of the context item
        question:
          type: string
          example: What text do you want to check?
          description: Question prompt for the context item
        options:
          example:
          - grammar
          - writing
          description: List of options for the context item
          type: array
          items:
            type: string
        tooltip:
          type: object
          example: null
          description: Tooltip text for the context item
          nullable: true
        required:
          type: boolean
          example: false
          description: Whether this context item is required
        value:
          type: object
          description: Value of the context item
      required:
      - id
      - name
      - type
    TranslationRunMetadata:
      type: object
      properties:
        tmsMatches:
          description: Contextual translation-memory segment matches used to inform the translation. Present only for workspaces with a connected TMS integration.
          type: array
          items:
            $ref: '#/components/schemas/TmsSegmentMatchItem'
    TaskResource:
      type: object
      properties:
        id:
          type: string
          example: agt_0190f3a1b2c34d5e6f7a8b9c0d1e2f3a
          description: Stable, public-facing identifier for the agent task. The internal UUID is also accepted anywhere this id is required.
        name:
          type: string
          example: Grammar Checker
          description: Name of the agent task
        appUrl:
          type: string
          example: https://app.jasper.ai/studio/962e4d4c-ffdc-4c7a-83e3-8f4e715004cf
          description: The client URL to view the agent task in the Jasper app. Empty when no link can be resolved.
        description:
          type: string
          example: Ensure your text is free from grammar errors to enhance clarity and professionalism
          description: Short description of the agent task
        contextItems:
          description: Context items required by the agent task
          type: array
          items:
            $ref: '#/components/schemas/TaskContextItem'
        generationSkillId:
          type: object
          description: Associated generation skill ID
          nullable: true
        version:
          type: number
          example: 1
          description: Version number of the agent task
        scope:
          type: string
          enum:
          - USER
          - WORKSPACE
          - PUBLIC
          example: PUBLIC
          description: Scope of the agent task (PUBLIC for those available to all users, WORKSPACE for those custom to your workspace)
        updatedAt:
          type: string
          example: '2024-10-29T03:47:44.468Z'
          description: Timestamp when the agent task was last updated
        createdAt:
          type: string
          example: '2024-10-02T03:51:26.020Z'
          description: Timestamp when the agent task was created
        longDescription:
          type: object
          example: '#### Overview

            Elevate the quality of your content by running it through a comprehensive grammar checker...'
          description: Extended description of the agent task in markdown format
          nullable: true
        publishedAt:
          type: object
          example: '2024-10-14T04:12:20.369Z'
          description: Timestamp when the agent task was published
          nullable: true
        customFields:
          type: object
          description: Custom fields associated with the agent task
          nullable: true
        theme:
          type: object
          description: Theme of the agent task
          nullable: true
        categories:
          example: []
          description: Categories the agent task belongs to
          nullable: true
          type: array
          items:
            type: string
      required:
      - id
      - name
      - appUrl
      - description
      - version
      - scope
      - updatedAt
      - createdAt
    TaskResponseDto:
      type: object
      properties:
        requestId:
          type: string
          example: 07008c5a-f916-4bdc-bfda-e8f6c328f7c5
        resource:
          type: string
          example: tasks
        data:
          $ref: '#/components/schemas/TaskResource'
      required:
      - data
    TaskRunResponseDto:
      type: object
      properties:
        requestId:
          type: string
          example: bce766ea-a4ef-48e5-9da1-d9602bfecf2d
        resource:
          type: string
          example: tasks
        data:
          $ref: '#/components/schemas/TaskRunResult'
      required:
      - data
  securitySchemes:
    X-API-Key:
      type: apiKey
      in: header
      name: X-API-Key
      description: Workspace authentication using API key tokens in the X-API-Key header.
    oauth2:
      type: oauth2
      flows:
        authorizationCode:
          authorizationUrl: https://api.jasper.ai/oauth2/authorize
          tokenUrl: https://api.jasper.ai/oauth2/token
          refreshUrl: https://api.jasper.ai/oauth2/token
          scopes:
            user:read: Read user information
            user: Read and write user information
      description: User-level authentication using OAuth bearer tokens in the Authorization header.
x-readme:
  metrics-enabled: false