Java: Python: Docs: Fix broken link (#6092)

### Motivation and Context
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`https://openai.com/product` is failing `Check .md links` workflow.

### Description
<!-- Describe your changes, the overall approach, the underlying design.
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Revise links.


https://github.com/microsoft/semantic-kernel/actions/workflows/markdown-link-check.yml

Whitespace edits peformed by VS Code

### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->

- [X] The code builds clean without any errors or warnings
- [X] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄

dotnet/README.md

@@ -4,7 +4,7 @@
 
 To run the LLM prompts and semantic functions in the examples below, make sure
 you have an
-[OpenAI API Key](https://openai.com/product/) or
+[OpenAI API Key](https://platform.openai.com) or
 [Azure OpenAI Service Key](https://learn.microsoft.com/azure/cognitive-services/openai/quickstart?pivots=rest-api).
 
 ## Nuget package

dotnet/src/Experimental/Orchestration.Flow.IntegrationTests/README.md

@@ -4,7 +4,7 @@
 
 1. **Azure OpenAI**: go to the [Azure OpenAI Quickstart](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/quickstart)
    and deploy an instance of Azure OpenAI, deploy a model like "text-davinci-003" find your Endpoint and API key.
-2. **OpenAI**: go to [OpenAI](https://openai.com/product/) to register and procure your API key.
+2. **OpenAI**: go to [OpenAI](https://platform.openai.com) to register and procure your API key.
 3. **Azure Bing Web Search API**: go to [Bing Web Search API](https://www.microsoft.com/en-us/bing/apis/bing-web-search-api)
    and select `Try Now` to get started.
 

dotnet/src/IntegrationTests/README.md

@@ -4,7 +4,7 @@
 
 1. **Azure OpenAI**: go to the [Azure OpenAI Quickstart](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/quickstart)
    and deploy an instance of Azure OpenAI, deploy a model like "text-davinci-003" find your Endpoint and API key.
-2. **OpenAI**: go to [OpenAI](https://openai.com/product/) to register and procure your API key.
+2. **OpenAI**: go to [OpenAI](https://platform.openai.com) to register and procure your API key.
 3. **HuggingFace API key**: see https://huggingface.co/docs/huggingface_hub/guides/inference for details.
 4. **Azure Bing Web Search API**: go to [Bing Web Search API](https://www.microsoft.com/en-us/bing/apis/bing-web-search-api)
    and select `Try Now` to get started.

java/README.md

@@ -13,7 +13,7 @@ and frameworks.
 ## Get started
 
 To run the LLM prompts and semantic functions in this kernel, make sure you have
-an [Open AI API Key](https://openai.com/product/)
+an [Open AI API Key](https://platform.openai.com)
 or [Azure Open AI service key](https://learn.microsoft.com/azure/cognitive-services/openai/).
 
 ### Requirements
@@ -100,4 +100,3 @@ This project is licensed under the [MIT License](../LICENSE).
 ## Code of Conduct
 
 This project has adopted the [Microsoft Open Source Code of Conduct](../CODE_OF_CONDUCT.md).
-

java/samples/sample-code/README.md

@@ -35,7 +35,7 @@ They can then be run by:
 # Configuration
 
 You can define the provider of Open AI by setting the `OPENAI_CLIENT_TYPE`
-property or environment variable to either [`OPENAI`](https://openai.com/product/)
+property or environment variable to either [`OPENAI`](https://platform.openai.com)
 or [`AZURE_OPEN_AI`](https://learn.microsoft.com/azure/cognitive-services/openai/).
 By default, the samples will use the Open AI client.
 

python/DEV_SETUP.md

@@ -7,7 +7,7 @@ want to run the tests included.
 ## LLM setup
 
 Make sure you have an
-[OpenAI API Key](https://openai.com/product/) or
+[OpenAI API Key](https://platform.openai.com) or
 [Azure OpenAI service key](https://learn.microsoft.com/azure/cognitive-services/openai/quickstart?pivots=rest-api)
 
 Copy those keys into a `.env` file (see the `.env.example` file):
@@ -256,4 +256,3 @@ or:
 This is assuming the upstream branch refers to the main repository. If you have a different name for the upstream branch, you can replace `upstream` with the name of your upstream branch.
 
 After running the rebase command, you may need to resolve any conflicts that arise. If you are unsure how to resolve a conflict, please refer to the [GitHub's documentation on resolving conflicts](https://docs.github.com/en/get-started/using-git/resolving-merge-conflicts-after-a-git-rebase), or for [VSCode](https://code.visualstudio.com/docs/sourcecontrol/overview#_merge-conflicts).
-

python/README.md

@@ -17,7 +17,7 @@ or all of them:
 ## OpenAI / Azure OpenAI API keys
 
 Make sure you have an
-[OpenAI API Key](https://openai.com/product/) or
+[OpenAI API Key](https://platform.openai.com) or
 [Azure OpenAI service key](https://learn.microsoft.com/azure/cognitive-services/openai/quickstart?pivots=rest-api)
 
 Copy those keys into a `.env` file (see the `.env.example` file):

python/samples/documentation_examples/README.md

@@ -11,7 +11,7 @@ This project contains a collection of examples used in documentation on [learn.m
 The samples can be configured with a `.env` file in the project which holds api keys and other secrets and configurations.
 
 Make sure you have an
-[Open AI API Key](https://openai.com/product/) or
+[Open AI API Key](https://platform.openai.com) or
 [Azure Open AI service key](https://azure.microsoft.com/en-us/products/ai-services/openai-service)
 
 Copy the `.env.example` file to a new file named `.env`. Then, copy those keys into the `.env` file: