promptflow-azure-ai-language 0.1.15
Collection of Azure AI Language Prompt flow tools.
License: MIT License
Requires Python: >=3.9

# Azure AI Language
Azure AI Language enables users with task-oriented and optimized pre-trained or custom language models to effectively understand and analyze documents and conversations. This Prompt flow tool is a wrapper for various Azure AI Language APIs. The current list of supported capabilities is as follows:

| Name                                      | Description                                           | Supported API Version        |
|-------------------------------------------|-------------------------------------------------------|--------------------|
| Abstractive Summarization                 | Generate abstractive summaries from documents.        | 2025-11-01         |
| Extractive Summarization                  | Extract summaries from documents.                     | 2025-11-01         |
| Conversation Summarization                | Summarize conversations.                              | 2024-11-01         |
| Entity Recognition                        | Recognize and categorize entities in documents.       | 2025-11-01         |
| Key Phrase Extraction                     | Extract key phrases from documents.                   | 2025-11-01         |
| Language Detection                        | Detect the language of documents.                     | 2025-11-01         |
| PII Entity Recognition                    | Recognize and redact PII entities in documents.       | 2025-11-01         |
| Conversational PII                        | Recognize and redact PII entities in conversations.   | 2024-11-01         |
| Sentiment Analysis                        | Analyze the sentiment of documents.                   | 2025-11-01         |
| Conversational Language Understanding     | Predict intents and entities from user's utterances.  | 2024-11-01         |
| Translator                                | Translate documents.                                  | 3.0                |

## Requirements
PyPI package: [`promptflow-azure-ai-language`](https://pypi.org/project/promptflow-azure-ai-language/).
- For AzureML users: 
    follow this [wiki](https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/how-to-custom-tool-package-creation-and-usage?view=azureml-api-2#prepare-runtime), 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](https://marketplace.visualstudio.com/items?itemName=prompt-flow.prompt-flow).
## Prerequisites
The tool calls APIs from Azure AI Language. To use it, you must create a connection to an [Azure AI Language resource](https://learn.microsoft.com/en-us/azure/ai-services/language-service/). [Create a Language Resource](https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics) 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>`

To use the `Translator` tool, you must set up an additional connection to an [Azure AI Translator resource](https://azure.microsoft.com/en-us/products/ai-services/ai-translator). [Create a Translator resource](https://learn.microsoft.com/en-us/azure/ai-services/translator/create-translator-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 Translator Resource api key>`
    - Under the `configs` field, specify the resource's endpoint: `endpoint: <Azure AI Translator Resource endpoint>`
    - If your Translator Resource is regional and non-global, specify its region under `configs` as well: `region: <Azure AI Translator Resource region>`

In either case, you may use an Azure AI Services resource instead. Create an Azure AI Services connection type, and provide the resource's API key and endpoint. If using the `Translator` tool, pass in the translator region as a tool parameter.

## Inputs
When a tool parameter is of type `Document`, it requires a `dict` object of [this](https://learn.microsoft.com/en-us/rest/api/language/text-analysis-runtime/analyze-text?view=rest-language-2023-04-01&tabs=HTTP#multilanguageinput) specification.

Example:
```
my_document = {
    "id": "1",
    "text": "This is some document text!",
    "language": "en"
}
```
When a tool parameter is of type `Conversation`, it requires a `dict` object of [this](https://learn.microsoft.com/en-us/rest/api/language/conversation-analysis-runtime/submit-job?view=rest-language-2023-04-01&tabs=HTTP#textconversation) or [this](https://learn.microsoft.com/en-us/rest/api/language/conversation-analysis-runtime/submit-job?view=rest-language-2023-04-01&tabs=HTTP#transcriptconversation) specification.

Example:
```
my_conversation = {
    "id": "meeting_1",
    "language": "en",
    "modality": "text",
    "domain": "generic",
    "conversationItems": [
        {
            "participantId": "person1",
            "role": "generic",
            "id": "1",
            "text": "Hello!"
        },
        {
            "participantId": "person2",
            "role": "generic",
            "id": "2",
            "text": "How are you?"
        }
    ]
}
```
---------------------------
All skills have the following (optional) inputs:
| Name               | Type             | Description | Required |
|--------------------|------------------|-------------|----------|
| 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 |

HTTP request logic utilizes [exponential backoff](https://en.wikipedia.org/wiki/Exponential_backoff). 
See skill specific inputs below:

---------------------------
| Abstractive Summarization | Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| document           | `Document`       | The input document. | Yes |
|| query              | string           | The query used to structure summarization. | Yes |
|| summary_length     | string (enum)    | The desired summary length. Enum values are `short`, `medium`, and `long`. | No |
---------------------------
| Extractive Summarization | Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| document           | `Document`       | The input document. | Yes |
|| query              | string           | The query used to structure summarization. | Yes |
|| sentence_count     | int              | The desired number of output summary sentences. Default value is `3`. | No |
|| sort_by            | string (enum)    | The sorting criteria for extractive summarization results. Enum values are `Offset` to sort results in order of appearance in the text and `Rank` to sort results in order of importance (i.e. rank score) according to model. Default value is `Offset`. | No |
---------------------------
| Conversation Summarization | Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| conversation       | `Conversation`   | The input conversation. | Yes |
|| summary_aspect     | string (enum)    | The desired summary "aspect" to obtain. Enum values are `chapterTitle` to obtain the chapter title of any conversation, `issue` to obtain the summary of issues in transcripts of web chats and service calls between customer-service agents and customers, `narrative` to obtain the generic summary of any conversation, `resolution` to obtain the summary of resolutions in transcripts of web chats and service calls between customer-service agents and customers, `recap` to obtain a general summary, and `follow-up tasks` to obtain a summary of follow-up or action items. | Yes |
---------------------------
| Entity Recognition | Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| document           | `Document`       | The input document. | Yes |
|| inclusion_list     | list[string]     | List of desired entity types to return. | No |
---------------------------
| Key Phrase Extraction | Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| document           | `Document`       | The input document. | Yes |
---------------------------
| Language Detection | Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| text               | string           | The input text. | Yes |
---------------------------
| PII Entity Recognition | Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| document           | `Document`       | The input document. | Yes |
|| domain             | string (enum)    | The PII domain used for PII Entity Recognition. Enum values are `none` for no domain, or `phi` to indicate that entities in the Personal Health domain should be redacted. Default value is `none`. | No |
|| pii_categories     | list[string]     | Describes the PII categories to return. | No |
---------------------------
| Conversational PII | Name               | Type             | Description | Required |
|-|-----------------------|------------------|-------------|----------|
|| connection             | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| conversation           | `Conversation`   | The input conversation. | Yes |
|| pii_categories         | list[string]     | Describes the PII categories to return for detection. Default value is `['Default']`. | No |
|| redact_audio_timing    | bool             | Should audio stream offset and duration for any detected entities be redacted. Default value is `False`. | No |
|| redaction source       | string (enum)    | For transcript conversations, this parameter provides information regarding which content type should be used for entity detection. The details of the entities detected - such as the offset, length, and the text itself - will correspond to the text type selected here. Enum values are `lexical`, `itn`, `maskedItn`, and `text`. Default value is `lexical`. | No |
|| exclude_pii_categories | list[string]     | Describes the PII categories to exclude for detection. Default value is `[]`. | No |

---------------------------
| Sentiment Analysis | Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| document           | `Document`       | The input document. | Yes |
|| opinion_mining     | bool             | Should opinion mining be enabled. Default value is `False`. | No |
---------------------------
| Conversational Language Understanding | Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Language resource. | Yes |
|| language           | string           | The ISO 639-1 code for the language of the input. | Yes |
|| utterances         | string           | A single user utterance or a json array of user utterances. | Yes |
|| project_name       | string           | The Conversational Language Understanding project to be called. | Yes |
|| deployment_name    | string           | The Conversational Language Understanding project deployment to be called. | Yes |
---------------------------
| Translator |Name               | Type             | Description | Required |
|-|--------------------|------------------|-------------|----------|
|| connection         | CustomConnection | The created connection to an Azure AI Translator resource. | Yes |
|| text               | string           | The input text. | Yes |
|| to                 | list[string]     | The languages to translate the input text to. | Yes |
|| source_language    | string           | The language of the input text. | No |
|| category           | string           | The category (domain) of the translation. This parameter is used to get translations from a customized system built with Custom Translator. Default value is `general`. | No |
|| text_type          | string (enum)    | The type of the text being translated. Possible values are `plain` (default) or `html`. | No |
|| region | string | The region of the Azure AI Translator resource being used. This is only required when using an Azure AI Services connection. | 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).
- **Note:** for Conversational Language Understanding (CLU), output will be a list of responses (either full or parsed), one for each detected user utterance in the input.

Refer to Azure AI Language's [REST API reference](https://learn.microsoft.com/en-us/rest/api/language/) for details on API response format, specific task result formats, etc.

## Sample Flows
Find example flows using the `promptflow-azure-ai-language` package [here](https://github.com/microsoft/promptflow/tree/main/examples/flows/integrations/azure-ai-language).

## Contact
Please reach out to Azure AI Language (<taincidents@microsoft.com>) with any issues.

---------------------------

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To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives.

Copyright [yyyy] [name of copyright owner]

Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

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---------------------------------------------------------

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opencensus-context 0.1.3 - Apache-2.0


Copyright 2019, OpenCensus

Apache License

Version 2.0, January 2004

http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      

      "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document.

      

      "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License.

      

      "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity.

      

      "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License.

      

      "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files.

      

      "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types.

      

      "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below).

      

      "Derivative Works" shall m