POST https://api.zatomic.ai/v1/prompts/{promptId}/versions/{versionId}/improve
// Example
POST https://api.zatomic.ai/v1/prompts/prm_2qRzu8geIvfudcJTwP0pur4TbMJ/versions/ver_2qRzu8qzlNOMhTrini2EKCDh5r6/improve
Zatomic API
- Introduction
- Versioning
- Authentication
- Workspaces
- Status codes and errors
- Token usage
- Expanding objects
- OpenAPI spec
- Prompts
- The Prompt object
- Creating a prompt
- Updating a prompt
- Deleting a prompt
- Retrieving a prompt
- Retrieving all prompts
- Generating a prompt
- Versions
- The Version object
- Creating a version
- Updating a version
- Deleting a version
- Retrieving a version
- Retrieving all versions
- Retrieving a version score
- Calculating a version score
- Retrieving a version risk
- Analyzing a version risk
- Retrieving a version balance
- Analyzing a version balance
- Retrieving a version heatmap
- Generating a version heatmap
- Improving a version
- Scoring Criteria
- The Scoring Criteria object
- The Scoring Criterion object
- Creating scoring criteria
- Updating a scoring criteria
- Deleting a scoring criteria
- Retrieving a scoring criteria
- Retrieving all scoring criteria
- Generating scoring criteria
- Creating a scoring criterion
- Updating a scoring criterion
- Deleting a scoring criterion
- Retrieving a scoring criterion
- Scoring Criteria Results
- The Scoring Criteria Results object
- Scoring
- The Scoring object
- Calculating a prompt score
- Risk
- The Risk object
- Analyzing prompt risk
- Balance
- The Balance object
- Analyzing prompt balance
- Heatmaps
- The Heatmap object
- Generating a prompt heatmap
Improving a version
Creates a new version of the prompt based on either its scoring analysis or risk analysis. A successful call returns a response that contains the newly improved version object.
The request supports a source value, which determines if the improvement will be based on the prompt's scoring analysis or its risk analysis.
You can also add a settings object to the request that specifies which AI model and provider you want to use to improve the prompt. If settings is given in the request, the model_source and model_id are required.
The model_source field specifies where the model comes from. When using models from your own AI providers, use the value provider; otherwise, use zatomic.
If provider_id is given and the provider is for Amazon Bedrock, then the aws_region is required and must be the region where the model is located.
You can find model IDs in the model catalog and provider IDs in your Zatomic account.
Request Properties | |||||||||
---|---|---|---|---|---|---|---|---|---|
source
string, optional
|
The analysis source for the improvement. If given must be scoring or risk. If not given defaults to scoring. | ||||||||
settings
object, optional
|
Properties for the object:
|
{
"source": "scoring|risk",
"settings": {
"model_source": "zatomic|provider",
"model_id": "aim_2y2eRWI32fN0CB7a5wE7RuvhVMv"
"provider_id": "aap_2zFxUYe3RINnOr37VQwHDFF3gK3",
"aws_region": "us-east-1"
}
}