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18 changes: 0 additions & 18 deletions docs/ARCHITECTURE_DEPLOYMENT.md
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Expand Up @@ -43,24 +43,6 @@ The BRK445 solution supports two deployment models:

4. **Azure OpenAI or OpenAI API Key** (for MAF Local mode)

#### Configuration Files

Create `appsettings.Development.json` files in each service:

**Example for `src/DataService/appsettings.Development.json`**:
```json
{
"ConnectionStrings": {
"microsoftfoundrycnnstring": "Endpoint=https://YOUR-OPENAI-RESOURCE.openai.azure.com/;Key=YOUR-KEY",
"microsoftfoundryproject": "Endpoint=https://YOUR-FOUNDRY-RESOURCE.cognitiveservices.azure.com/;Key=YOUR-KEY"
},
"AI_ChatDeploymentName": "gpt-5-mini",
"AI_embeddingsDeploymentName": "text-embedding-3-small"
}
```

**Note**: Never commit these files. They're in `.gitignore`.

### Step-by-Step Local Deployment

#### Step 1: Clone and Build
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1 change: 0 additions & 1 deletion session-delivery-resources/docs/03.HowToRunDemoLocally.md
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Expand Up @@ -83,7 +83,6 @@ The Aspire dashboard URL printed in the console (for example `https://localhost:

The first time running the solution, the Aspire dashboard will prompt you to set up the necessary secrets for accessing Azure resources. Complete the values in the form:

- `microsoftfoundrycnnstring` is the connection string: `Endpoint=https://<your-resource>.cognitiveservices.azure.com/;ApiKey=<your-api-key>`
- `applicationinsights` is the Application Insights connection string from your Application Insights resource
- `microsoftfoundryproject` is the Project endpoint URL from your AI Foundry project settings page
- `tenantid` is your Azure tenant ID.
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