> ## 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.
# The workflow's latest 20 runs, newest first
## OpenAPI
````yaml /mdx/api-reference/runtime/runtime-api.json get /api/user/agents/v2/workflows/{id}/runs
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.
They use many standard HTTP features, including methods (POST,
GET, PUT, DELETE) and error response codes.
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/{id}/runs:
get:
tags:
- Agents
summary: The workflow's latest 20 runs, newest first
parameters:
- in: path
name: id
required: true
schema:
type: string
responses:
'200':
description: '{ success, runs }'
content:
application/json:
schema:
type: object
properties:
success:
type: boolean
runs:
type: array
items:
$ref: '#/components/schemas/AgentsV2WorkflowRun'
'403':
description: No agent access on the current twin.
'404':
description: Workflow not found on this twin.
security:
- apiKeyAuth: []
components:
schemas:
AgentsV2WorkflowRun:
type: object
properties:
id:
type: string
trigger:
type: string
enum:
- manual
- schedule
status:
type: string
enum:
- running
- completed
- failed
- cancelled
- interrupted
- skipped
description: >
completed = streaming ended normally; failed = see `reason`;
cancelled = stopped in the dash; interrupted = Pria lost the stream
before streaming ended (restart, deploy); skipped = came due while
the previous run was still going.
reason:
type: string
example: timed_out
description: >-
access_revoked, daemon_unavailable, credit_denied, timed_out,
previous_run_running, stream_lost, provider_error (the model
provider returned an error), tool_error, budget_exceeded,
turn_error, or ''.
sessionId:
type: string
description: The run's daemon session (open it in the dash); '' if none started.
dueAt:
type: string
format: date-time
nullable: true
description: The occurrence a scheduled run ran for.
startedAt:
type: string
format: date-time
endedAt:
type: string
format: date-time
nullable: true
declinedPrompts:
type: integer
description: Confirmations declined because nobody could approve them.
model:
type: string
description: The model the session ran on; '' = Default (nothing was set).
reasoning:
type: string
description: The reasoning level applied (after any clamp); '' = Default.
modelFallback:
type: object
nullable: true
description: >-
Set when the run did not use its workflow's model and ran on Default
instead.
properties:
wanted:
type: string
description: The workflow's model.
reason:
type: string
enum:
- model_unavailable
- model_refused
- model_failed
description: >-
model_unavailable = not in the menu when the run started;
model_refused = the daemon refused it; model_failed = its first
request failed before any output (the run was retried once, in a
new session, on Default).
message:
type: string
description: The provider's error, for model_failed.
securitySchemes:
apiKeyAuth:
type: apiKey
in: header
name: x-access-token
description: JWT token passed in x-access-token header
````
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