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

# Create a workflow (owner and twin come from the session, never the body)



## OpenAPI

````yaml /mdx/api-reference/runtime/runtime-api.json post /api/user/agents/v2/workflows
openapi: 3.0.0
info:
  title: Pria Runtime API
  version: 2.0.193
  description: >-
    Pria API Documentation Praxis's developer platform is a core part of our
    mission to empower organizations to grow better. Our APIs are designed to
    enable teams of any shape or size to build robust integrations that help
    them customize and get the most value out of Pria. All Pria APIs are built
    using REST conventions and designed to have a predictable URL structure.
    <br/>  <br/>They use many standard HTTP features, including methods (POST,
    GET, PUT, DELETE) and error response codes.  <br/> <br/>All API calls are
    made under https://hiimpria.ai/api and all responses return standard JSON.
    In these docs, you'll find lists of all available endpoints for a given API,
    along with interactive code blocks for building requests. For walkthroughs
    of basic usage for these APIs, check out the API guides.
servers:
  - url: https://pria.praxislxp.com
    description: Pria API Server
security: []
tags:
  - name: Authentication
    description: User authentication, registration, and password management (/api/auth)
  - name: OAuth
    description: OAuth authentication providers - Google, GitHub, SSO (/api/auth/oauth)
  - name: User
    description: User profile management and account operations (/api/user)
  - name: User Institutions
    description: User institution memberships and switching (/api/user/institution)
  - name: User Tools
    description: Available tools for authenticated users (/api/user/tools)
  - name: Institutions
    description: Institution settings and configuration (/api/user/institution)
  - name: Conversation
    description: AI conversation and Q&A endpoints (/api/ai)
  - name: Realtime
    description: Real-time voice AI and WebRTC sessions (/api/ai/rt)
  - name: Assistant
    description: AI assistant configuration and management (/api/user/assistant)
  - name: History
    description: Conversation history and favorites (/api/user/history)
  - name: RAG
    description: >-
      Document upload, embedding, and retrieval-augmented generation
      (/api/user/files, /api/user/rag)
  - name: Setting
    description: Instance variables and settings management (/api/user/setting)
  - name: Branding
    description: Digital twin branding and customization (/api/agent/branding)
  - name: Agent
    description: Agent engagement and session management (/api/agent)
  - name: SDK Launch
    description: >-
      SDK launch token signing and verification for secure iframe embedding
      (/api/auth/sdk-sign, /api/auth/sdk-verify)
  - name: Testing
    description: Health checks, diagnostics, and test endpoints (/api/test)
  - name: Admin Accounts
    description: Account management for super admins (/api/admin/account)
  - name: Admin Institutions
    description: Institution management for admins (/api/admin/institution)
  - name: Admin Users
    description: User management for admins (/api/admin/user)
  - name: Admin Entitlements
    description: >-
      User-institution relationships and permissions
      (/api/admin/userInstitution)
  - name: Admin Sessions
    description: Session management for admins (/api/admin/session)
  - name: Admin Histories
    description: Conversation history management and analytics (/api/admin/history)
  - name: Admin Assistants
    description: AI assistant management for admins (/api/admin/assistant)
  - name: Admin Questions
    description: Institution question and prompt management (/api/admin/question)
  - name: Admin Tools
    description: Tool configuration management (/api/admin/tool)
  - name: Admin AI Models
    description: AI model configuration (/api/admin/aimodel)
  - name: Admin MCP Servers
    description: Model Context Protocol server management (/api/admin/mcpserver)
  - name: Admin Feedbacks
    description: User feedback management (/api/admin/feedback)
  - name: Admin Uploads
    description: Upload management (/api/admin/upload)
  - name: Admin Charts
    description: Analytics and visualization chart management (/api/admin/chart)
  - name: Audio Notes
    description: Capture and ingest spoken notes into the personal vault
  - name: Memory
    description: User-facing memory parameters (personal + shared instance memory).
  - name: My Data
    description: >-
      GDPR controls — personal-scope counts, async ZIP-by-email export, and
      scoped soft-delete. Every endpoint pins `user = req.user._id` AND
      `institution: null`; institution-scoped data is governed by the
      institution's own retention policy and never reached from here.
  - name: Questions
    description: >-
      User-facing read of the onboarding question bank used by the "create a
      digital twin" wizard.
  - name: Transcription
    description: >-
      One-shot speech-to-text for in-place dictation. Audio blob in, transcript
      out — no Upload / History / RAG embeddings are persisted. Use
      `/audio-notes` for anything durable.
paths:
  /api/user/agents/v2/workflows:
    post:
      tags:
        - Agents
      summary: Create a workflow (owner and twin come from the session, never the body)
      requestBody:
        required: true
        content:
          application/json:
            schema:
              allOf:
                - $ref: '#/components/schemas/AgentsV2WorkflowInput'
                - required:
                    - name
                    - instruction
      responses:
        '201':
          description: >-
            Created. `nextRunAt` is computed in the schedule's timezone (null
            when manual or disabled).
          content:
            application/json:
              schema:
                type: object
                properties:
                  success:
                    type: boolean
                  workflow:
                    $ref: '#/components/schemas/AgentsV2Workflow'
        '400':
          description: >-
            INVALID_NAME, INVALID_INSTRUCTION, INVALID_ENABLED,
            MODEL_NOT_AVAILABLE, INVALID_REASONING, or a schedule code
            (INVALID_SCHEDULE_KIND, INVALID_TIMEZONE, INVALID_TIME,
            INVALID_DATE, INVALID_DAY_OF_WEEK, INVALID_DAY_OF_MONTH,
            INVALID_INTERVAL, ONCE_IN_PAST).
        '403':
          description: No agent access on the current twin, or a cross-site request.
        '404':
          description: User not found, or no current twin.
        '409':
          description: >-
            NAME_TAKEN — the caller already has a workflow with that name
            (case-insensitive) on this twin.
      security:
        - apiKeyAuth: []
components:
  schemas:
    AgentsV2WorkflowInput:
      type: object
      properties:
        name:
          type: string
          maxLength: 120
        instruction:
          type: string
          maxLength: 32000
        enabled:
          type: boolean
        model:
          type: string
          maxLength: 120
          description: >-
            '' (Default) or an id in the caller's current GET /workflow-models
            menu; anything else is 400 MODEL_NOT_AVAILABLE.
        reasoning:
          type: string
          enum:
            - ''
            - 'off'
            - low
            - medium
            - high
            - xhigh
        schedule:
          $ref: '#/components/schemas/AgentsV2WorkflowSchedule'
    AgentsV2Workflow:
      type: object
      description: >
        An agentsv2 workflow — its own collection, nothing shared with the v1
        workflows under /api/user/agents/workflows. A run starts a new session
        in the owner's daemon for this twin with the instruction as its first
        prompt, and ends when streaming ends.
      properties:
        id:
          type: string
        name:
          type: string
          maxLength: 120
        instruction:
          type: string
          maxLength: 32000
        enabled:
          type: boolean
          description: Off = the schedule does not fire (Run now still works).
        schedule:
          $ref: '#/components/schemas/AgentsV2WorkflowSchedule'
        nextRunAt:
          type: string
          format: date-time
          nullable: true
        lastRunAt:
          type: string
          format: date-time
          nullable: true
        lastRunStatus:
          type: string
          description: The latest run's status ('' before the first run).
        running:
          type: boolean
          description: A run of this workflow is in progress (from the run records).
        waitingReason:
          type: string
          description: Why a due run is waiting to retry (e.g. VM_NOT_READY), else ''.
        model:
          type: string
          maxLength: 120
          example: openai-codex/gpt-5.6-sol
          description: >-
            The model runs use: an id from GET /workflow-models, or '' for
            Default (the daemon's model). At run time an id no longer in the
            menu runs on Default and the run records modelFallback.
        reasoning:
          type: string
          enum:
            - ''
            - 'off'
            - low
            - medium
            - high
            - xhigh
          description: >-
            The reasoning level runs use, or '' for Default (the daemon's
            level). A level the model doesn't support is clamped by the daemon.
        createdAt:
          type: string
          format: date-time
        updatedAt:
          type: string
          format: date-time
    AgentsV2WorkflowSchedule:
      type: object
      description: >
        When a workflow runs, in its own IANA timezone (wall-clock: a daily
        09:00 stays 09:00 across daylight saving). Only the fields of its kind
        are read; unknown fields are dropped. A time that does not exist on a
        spring-forward day fires at the first valid minute after it; a repeated
        time on a fall-back day fires once, at the earlier instant.
      required:
        - kind
        - timezone
      properties:
        kind:
          type: string
          enum:
            - none
            - once
            - daily
            - weekly
            - monthly
            - interval
          description: none = manual only (Run now).
        timezone:
          type: string
          example: America/New_York
          description: IANA zone, up to 64 characters.
        date:
          type: string
          example: '2026-10-01'
          description: 'once: YYYY-MM-DD in the timezone; must be in the future.'
        time:
          type: string
          example: '09:00'
          description: 'once, daily, weekly, monthly: HH:MM (24h) in the timezone.'
        dayOfWeek:
          type: integer
          minimum: 0
          maximum: 6
          description: 'weekly: 0 = Sunday.'
        dayOfMonth:
          type: integer
          minimum: 1
          maximum: 31
          description: 'monthly: clamped to the last day of short months.'
        minutes:
          type: integer
          minimum: 15
          maximum: 10080
          description: 'interval: every N minutes, counted from the previous run.'
  securitySchemes:
    apiKeyAuth:
      type: apiKey
      in: header
      name: x-access-token
      description: JWT token passed in x-access-token header

````

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