# Introduction

### Whats New in 3.0.0

In version 3.0.0 a widget named Contextual Chat can be configured which allows the user to create a chat application within the Wingman widget. The contextual chat widget helps the user generate content with respect to the article. The user can ask questions about the text that is written in the writer body and the response from the AI service will be available in the contextual chat.

This enables:

{% stepper %}
{% step %}
A user can generate responses based on the article text which is beyond the defined Wingman widgets.
{% endstep %}

{% step %}
A user can use this widget to get search results within the content that is written inside the writer body.
{% endstep %}
{% endstepper %}

Exceptions:

{% stepper %}
{% step %}
Recommended to be used with AWS Bedrock's Sonnet 3.5 Model or above.
{% endstep %}

{% step %}
The widget will not respond to context beyond the text in the writer body.
{% endstep %}
{% endstepper %}

Reference: <https://docs.navigaglobal.com/wingman#whats-new-in-3.0.0>

***

### Module List

|  # | Widget Name        | Function                                                                                                                                            | Powered By             | Supported Up To |
| -: | ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------- | --------------: |
|  1 | Headline Generator | Generate headline/title of text written in writer body                                                                                              | ChatGPT or AWS Bedrock |   Version 1.3.0 |
|  2 | Summarizer         | Create summary from text written in writer body or text entered manually in text field. Added feature to select tones before generating the summary | ChatGPT or AWS Bedrock |   Version 1.3.0 |
|  3 | Generic            | Write your own custom prompt to generate any result from the text in writer body                                                                    | ChatGPT or AWS Bedrock |           2.0.0 |
|  4 | xpath              | Configure widget node paths to writer body node components                                                                                          | ChatGPT or AWS Bedrock |           2.1.0 |
|  5 | Contextual Chat    | Configure chat box for generating responses with respect to writer body                                                                             | ChatGPT or AWS Bedrock |           3.0.0 |

Functional details: <https://docs.navigaglobal.com/wingman/functional-details>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.navigaglobal.com/general/introduction.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.