update links to reflect name change (#23)

* update clone/dev links to reflect namechange

Author: sophia-ramsey

README.md

@@ -46,7 +46,7 @@ The default for the model capacity in deployment is 50k tokens. For optimal perf
 Download the project code:
 
 ```shell
-git clone https://github.com/Azure-Samples/azureai-agents-chat.git
+git clone https://github.com/Azure-Samples/get-started-with-ai-agents.git
 ```
 At this point you could make changes to the code if required. However, no changes are needed to deploy and test the app as shown in the next step.
 
@@ -209,7 +209,7 @@ You can run this template virtually by using GitHub Codespaces. The button will
 
 1. Open the template (this may take several minutes):
 
-    [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/Azure-Samples/azureai-basic-python)
+    [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/Azure-Samples/get-started-with-ai-agents)
 
 2. Open a terminal window
 3. Continue with the [deploying steps](#deployment)
@@ -226,7 +226,7 @@ A related option is VS Code Dev Containers, which will open the project in your
 1. Start Docker Desktop (install it if not already installed [Docker Desktop](https://www.docker.com/products/docker-desktop/))
 2. Open the project:
 
-    [![Open in Dev Containers](https://img.shields.io/static/v1?style=for-the-badge&label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/Azure-Samples/azureai-basic-python)
+    [![Open in Dev Containers](https://img.shields.io/static/v1?style=for-the-badge&label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/Azure-Samples/get-started-with-ai-agents)
 
 3. In the VS Code window that opens, once the project files show up (this may take several minutes), open a terminal window.
 4. Continue with the [deploying steps](#deployment)