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POST
/
api
/
ai
/
experimental
/
personal
/
qanda-v2
Send a message to the AI assistant (experimental — Soul Document V2 prompt)
curl --request POST \
  --url https://pria.praxislxp.com/api/ai/experimental/personal/qanda-v2 \
  --header 'Content-Type: application/json' \
  --header 'x-access-token: <api-key>' \
  --data '
{
  "id": 1750660464754,
  "requestArgs": {
    "userISODate": "2025-06-23T06:34:24.754Z",
    "userTimezone": "America/New_York",
    "socketId": "DhXE7OVjCtfUmDFTAAAB",
    "assistantId": "6856fa89cbafcff8d98680f5",
    "selectedCourse": {
      "course_id": 1750532703472,
      "course_name": "Research Discussion",
      "assistant": {
        "_id": "6856fa89cbafcff8d98680f5"
      }
    },
    "ragOnly": false,
    "ragIgnore": false
  },
  "inputs": [
    "What is machine learning?"
  ],
  "outputs": []
}
'
{
  "success": true,
  "streamingFailed": false,
  "outputs": [
    "Machine learning is a subset of artificial intelligence..."
  ],
  "usage": 1234,
  "credits": 5,
  "query_duration_ms": 2500,
  "model": "gpt-4o"
}

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.

Authorizations

​
x-access-token
string
header
required

JWT token passed in x-access-token header

Body

application/json

Request payload for AI Q&A conversation

​
inputs
string[]
required

User messages to send to the AI

Example:
["What is machine learning?"]
​
id
number

Client-generated request identifier (epoch timestamp)

Example:

1750660464754

​
requestArgs
object

Context arguments for AI conversation requests

​
outputs
string[]

Previous AI responses (for context continuity)

Example:
[]

Response

AI response generated successfully (Soul Document V2 system prompt)

Response from AI Q&A conversation

​
success
boolean

Whether the request completed successfully

​
streamingFailed
boolean

True if Socket.IO streaming failed (response still contains full output)

​
streamingError
string

Error message if streaming failed

​
outputs
string[]

AI-generated response messages

​
usage
number

Total tokens consumed (input + output)

​
credits
number

Credits consumed for this request

​
creditsUsed
number

User's total credits consumed

​
totalCredits
number

User's remaining credit balance

​
query_duration_ms
number

Total processing time in milliseconds

​
model
string

AI model identifier used for generation

Example:

"gpt-4o"