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Description:

promptflowazureailanguagecustomtextclassification 1.0.0

Azure AI Language Custom Text Classification Tool for Prompt Flow

Based on promptflow-azure-ai-language

Name
Description

Custom Text Classification
Use Azure AI Language to generate abstractive summaries of documents

Requirements
PyPI package: promptflow-azure-ai-language.

For AzureML users: follow this wiki, starting from Prepare runtime.
For local users:

pip install promptflow-azure-ai-language

You may also want to install the Prompt flow for VS Code extension.
Prerequisites
The tool calls APIs from Azure AI Language. To use it, you must create a connection to an Azure AI Language resource. Create a Language Resource first, if necessary.

In Prompt flow, add a new CustomConnection.

Under the secrets field, specify the resource's API key: api_key: <Azure AI Language Resource api key>
Under the configs field, specify the resource's endpoint: endpoint: <Azure AI Language Resource endpoint>

Inputs
When a tool parameter is of type Document, it requires a dict object of this specification.
Example:
my_document = {
"id": "1",
"text": "This is some document text!",
"language": "en"
}

Name
Type
Description
Required

connection
CustomConnection
The created connection to an Azure AI Language resource.
Yes

document
Document
The input document.
Yes

project_name
string
The project to be called.
Yes

deployment_name
string
The project deployment to be called.
Yes

max_retries
int
The maximum number of HTTP request retries. Default value is 5.
No

max_wait
int
The maximum wait time (in seconds) in-between HTTP requests. Default value is 60.
No

parse_response
bool
Should the full API JSON output be parsed to extract the single task result. Default value is False.
No

Outputs

When the input parameter parse_response is set to False (default value), the full API JSON response will be returned (as a dict object).
When the input parameter parse_response is set to True, the full API JSON response will be parsed to extract the single task result associated with the tool's given skill. Output will depend on the skill (but will still be a dict object).
Refer to Azure AI Language's REST API reference for details on API response format, specific task result formats, etc.