# Connector

## Make a GPDR request with Teams or Meta

META and Teams connectors can respond to requests for exporting and deleting personal data by defining knowledge.

**Step 1: configure a web service who consume the api GPDR dydu**

<table data-header-hidden><thead><tr><th width="196"></th><th width="108.33333333333331"></th><th></th></tr></thead><tbody><tr><td><strong>Fields to fill</strong></td><td><strong>Name</strong></td><td><strong>Value</strong></td></tr><tr><td>Url</td><td>-</td><td>https://<strong>server</strong>/servlet/api/chat/gdpr/<strong>uuid_of_the_bot</strong></td></tr><tr><td>Method</td><td>-</td><td>Post</td></tr><tr><td>Type of answer</td><td>-</td><td>Plain</td></tr><tr><td>Settings</td><td><p>clientId</p><p>language</p><p>mail</p><p>object</p></td><td><p>${capture.clientId}</p><p>language of your bot (in our exemple: French)</p><p>${capture.user_email}</p><p>${capture.object}</p></td></tr></tbody></table>

Exemple:

<figure><img src="https://lh7-eu.googleusercontent.com/UxHstk8zZaIUp3u1wZpD85pTvK7C_Eoho222-Bty4jvxGdXYST4yP3aik7kerH76KeAegOmIw6FG4rsN1tEM7N78Mb0K3U9Pl31ADUEiQ3pMYLYWnbHHNvrWwQRiscvY6MzoUUcgHfn3dHSHmxIFeqY" alt=""><figcaption></figcaption></figure>

<figure><img src="https://lh7-eu.googleusercontent.com/eItnCDCSc0RiE0tZUgDz4wg2UErnHrgI_FShv546kM8QezoSInHLxJHB64iEH9-1yXsVXcwhQwfnCARTTXXpQJglJd0AhY6foVm55NMCGAIR9ZDvBHbjXiMy3kHnkJZXZeznmFFL9FPFSevXRAa9xsw" alt=""><figcaption></figcaption></figure>

**Step 2 : Configure a context condition who test the return of the web service**

<table data-header-hidden><thead><tr><th width="216"></th><th width="250"></th><th width="147"></th><th></th></tr></thead><tbody><tr><td>Condition name</td><td><strong>Condition</strong></td><td><strong>Operation</strong></td><td><strong>Value</strong></td></tr><tr><td>RGPDResultatRecup</td><td>callapi.DemandeRGPD</td><td>Worth</td><td>{}</td></tr></tbody></table>

**Step 3 : Create a knowledge who will consume the web service**

<figure><img src="/files/uTpjiFDpIZ6EzdQ3CPIR" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

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

```
GET https://docs-en.dydu.ai/integration/channels/connector.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.