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POST
/
api
/
user
/
embedding
/
{id}
/
sanitize
Sanitize an embedding chunk with AI
curl --request POST \
  --url https://pria.praxislxp.com/api/user/embedding/{id}/sanitize \
  --header 'x-access-token: <api-key>'
{
  "success": true,
  "sanitizedText": "This is the cleaned paragraph with noise removed and formatting normalized...",
  "tokensUsed": 142,
  "model": "anthropic.claude-3-haiku-20250514-v1:0"
}

Authorizations

​
x-access-token
string
header
required

JWT token passed in x-access-token header

Path Parameters

​
id
string
required

Embedding chunk ID to sanitize

Response

Segment sanitized successfully (preview only — not saved)

​
success
boolean
Example:

true

​
sanitizedText
string

The AI-cleaned segment text. Not persisted — use PUT /embedding/{id} to save.

Example:

"This is the cleaned paragraph with noise removed and formatting normalized..."

​
tokensUsed
integer

Token count consumed by the sanitization LLM call (tallied to parent Upload)

Example:

142

​
model
string

The LLM model used for sanitization

Example:

"anthropic.claude-3-haiku-20250514-v1:0"