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Openai Quality Assessment

POST
/openai_qa
curl --request POST \
--url https://example.com/openai_qa \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{ "source_text": "example", "translated_text": "example", "source_lang": "example", "target_lang": "example" }'

Evaluate translation quality using OpenAI GPT-4o.

This endpoint provides direct access to the same OpenAI-based quality assessment used in the batch evaluation workflow. It returns a quality score (0-100) and improvement suggestions for machine translations.

Requires OpenAI API key to be configured in environment variables.

Media typeapplication/json
OpenAIQARequest
object
source_text
required
Source Text

Original text to evaluate

string
>= 1 characters
translated_text
required
Translated Text

Machine translation to evaluate

string
>= 1 characters
source_lang
required
Source Lang

Source language code (e.g., ‘en’, ‘de’)

string
>= 1 characters <= 20 characters
target_lang
required
Target Lang

Target language code (e.g., ‘de’, ‘fr’)

string
>= 1 characters <= 20 characters
Examplegenerated
{
"source_text": "example",
"translated_text": "example",
"source_lang": "example",
"target_lang": "example"
}

Successful Response

Media typeapplication/json
OpenAIQAResponse
object
score
Any of:
number
suggestion
Any of:
string
processing_time_ms
required
Processing Time Ms

Processing time in milliseconds

number
success
required
Success

Whether the quality assessment succeeded

boolean
error_message
Any of:
string
usage
Any of:
TokenUsage
object
prompt_tokens
Any of:
integer
completion_tokens
Any of:
integer
total_tokens
Any of:
integer
quantization
Any of:
string
gpu_mem_allocated_gb
Any of:
number
gpu_mem_reserved_gb
Any of:
number
Examplegenerated
{
"score": 1,
"suggestion": "example",
"processing_time_ms": 1,
"success": true,
"error_message": "example",
"usage": {
"prompt_tokens": 1,
"completion_tokens": 1,
"total_tokens": 1,
"quantization": "example",
"gpu_mem_allocated_gb": 1,
"gpu_mem_reserved_gb": 1
}
}

Validation Error

Media typeapplication/json
HTTPValidationError
object
detail
Detail
Array<object>
ValidationError
object
loc
required
Location
Array
msg
required
Message
string
type
required
Error Type
string
input
Input
ctx
Context
object
Examplegenerated
{
"detail": [
{
"loc": [
"example"
],
"msg": "example",
"type": "example",
"input": "example",
"ctx": {}
}
]
}