> ## 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 models and reasoning levels a workflow can use on the current twin
> Derived per request, never maintained: the twin's connections by its credential mode (institution ChatGPT/Grok connections; the caller's own seat menu under user_oauth; Default only under api_key) × the models the twin's account VM reports (plus the known subscription catalogs). `default.model` is what Default runs on today.
## OpenAPI
````yaml /mdx/api-reference/runtime/runtime-api.json get /api/user/agents/v2/workflow-models
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/workflow-models:
get:
tags:
- Agents
summary: The models and reasoning levels a workflow can use on the current twin
description: >
Derived per request, never maintained: the twin's connections by its
credential mode (institution ChatGPT/Grok connections; the caller's own
seat menu under user_oauth; Default only under api_key) × the models the
twin's account VM reports (plus the known subscription catalogs).
`default.model` is what Default runs on today.
responses:
'200':
description: The menu.
content:
application/json:
schema:
type: object
properties:
success:
type: boolean
default:
type: object
properties:
model:
type: string
example: openai-codex/gpt-5.5
description: The daemon's model ('' if unknown).
models:
type: array
items:
type: object
properties:
id:
type: string
example: openai-codex/gpt-5.6-sol
provider:
type: string
example: openai-codex
source:
type: string
enum:
- discovered
- catalog
- curated
- seat
reasoning:
type: array
items:
type: string
example:
- 'off'
- low
- medium
- high
- xhigh
'403':
description: >-
Agents are not enabled for this twin, or the caller lacks agent
access on it.
content:
application/json:
schema:
$ref: '#/components/schemas/AgentsV2Error'
'404':
description: User not found, or no current twin.
security:
- apiKeyAuth: []
components:
schemas:
AgentsV2Error:
type: object
properties:
success:
type: boolean
example: false
code:
type: string
message:
type: string
securitySchemes:
apiKeyAuth:
type: apiKey
in: header
name: x-access-token
description: JWT token passed in x-access-token header
````
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