Get impact metrics for a task
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Query Parameters
Return debug information
Body
fp8, fp8-e4m3, fp8-e5m2, fp16, tf32, fp32, fp64, bfloat8, bfloat16, bf16, int4, int8, int16, int32, int64, uint4, uint8, uint16, uint32, uint64 Common types of AI/ML models and their primary functions:
- Text-based models for natural language processing
- Vision models for image analysis and generation
- Audio models for speech and sound processing
- Multimodal models that combine different types of inputs/outputs
- Specialized models for specific use cases
text-generation, chat, text-embedding, text-classification, sentiment-analysis, named-entity-recognition, question-answering, summarization, translation, image-classification, object-detection, image-segmentation, image-generation, image-to-text, text-to-image, style-transfer, face-detection, facial-recognition, speech-to-text, text-to-speech, speaker-identification, audio-classification, music-generation, multimodal-embedding, multimodal-generation, visual-question-answering, recommendation-system, reinforcement-learning, anomaly-detection, time-series-forecasting, clustering The application to attribute this call to
The client to attribute this call to
The region of cloud hosting
Two-letter country code as defined by ISO 3166-1 alpha-2
2The currency for the cost data
Environment (prod/production indicates production)
the duration of audio input in seconds
0 < x < 100000the number of steps to use in the model
1 < x < 10000the number of input (or prompt) tokens
0 < x < 100000000The integration used to source the data
fp8, fp8-e4m3, fp8-e5m2, fp16, tf32, fp32, fp64, bfloat8, bfloat16, bf16, int4, int8, int16, int32, int64, uint4, uint8, uint16, uint32, uint64 Common types of AI/ML models and their primary functions:
- Text-based models for natural language processing
- Vision models for image analysis and generation
- Audio models for speech and sound processing
- Multimodal models that combine different types of inputs/outputs
- Specialized models for specific use cases
text-generation, chat, text-embedding, text-classification, sentiment-analysis, named-entity-recognition, question-answering, summarization, translation, image-classification, object-detection, image-segmentation, image-generation, image-to-text, text-to-image, style-transfer, face-detection, facial-recognition, speech-to-text, text-to-speech, speaker-identification, audio-classification, music-generation, multimodal-embedding, multimodal-generation, visual-question-answering, recommendation-system, reinforcement-learning, anomaly-detection, time-series-forecasting, clustering 0 < x < 11 < x < 100000 < x < 1000000 < x < 1000000 < x < 100000 < x < 100001 < x < 30the duration of audio output in seconds
0 < x < 100000the number of audio tokens in the output
0 < x < 100000000a list of output image sizes
the number of output (or completion) tokens
0 < x < 100000000the number of video frames (frame rate x duration)
0 < x < 100000000the resolution of the video in number of lines (for instance, 1080 for 1080p)
The time taken in processing the request (as measured at execution)
The project to attribute this call to
Two-letter region code as defined by ISO 3166-1 alpha-2
2The cost to execute this request
The time the request took (as measured by client or proxy)
The unique identifier of this request
The ID of the session (multiple requests)
Common types of AI/ML models and their primary functions:
- Text-based models for natural language processing
- Vision models for image analysis and generation
- Audio models for speech and sound processing
- Multimodal models that combine different types of inputs/outputs
- Specialized models for specific use cases
text-generation, chat, text-embedding, text-classification, sentiment-analysis, named-entity-recognition, question-answering, summarization, translation, image-classification, object-detection, image-segmentation, image-generation, image-to-text, text-to-image, style-transfer, face-detection, facial-recognition, speech-to-text, text-to-speech, speaker-identification, audio-classification, music-generation, multimodal-embedding, multimodal-generation, visual-question-answering, recommendation-system, reinforcement-learning, anomaly-detection, time-series-forecasting, clustering The trace ID of the request (multiple requests in one task)
The start time of the request in UTC
Response
Two-letter country code as defined by ISO 3166-1 alpha-2
20 < x < 2000Two-letter region code as defined by ISO 3166-1 alpha-2
20 < x < 11 < x < 100000 < x < 1000000 < x < 1000000 < x < 100000 < x < 100001 < x < 30fp8, fp8-e4m3, fp8-e5m2, fp16, tf32, fp32, fp64, bfloat8, bfloat16, bf16, int4, int8, int16, int32, int64, uint4, uint8, uint16, uint32, uint64 Common types of AI/ML models and their primary functions:
- Text-based models for natural language processing
- Vision models for image analysis and generation
- Audio models for speech and sound processing
- Multimodal models that combine different types of inputs/outputs
- Specialized models for specific use cases
text-generation, chat, text-embedding, text-classification, sentiment-analysis, named-entity-recognition, question-answering, summarization, translation, image-classification, object-detection, image-segmentation, image-generation, image-to-text, text-to-image, style-transfer, face-detection, facial-recognition, speech-to-text, text-to-speech, speaker-identification, audio-classification, music-generation, multimodal-embedding, multimodal-generation, visual-question-answering, recommendation-system, reinforcement-learning, anomaly-detection, time-series-forecasting, clustering