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4 changes: 2 additions & 2 deletions docs/CustomizingAzdParameters.md
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ By default this template will use the environment name as the prefix to prevent
| `AZURE_ENV_MODEL_CAPACITY` | integer | `30` | Sets the model capacity (choose based on your subscription's available GPT capacity). |
| `USE_LOCAL_BUILD` | boolean | `false` | Indicates whether to use a local container build for deployment. |
| `AZURE_ENV_IMAGETAG` | boolean | `latest` | Set the Image tag Like (allowed values: latest, dev, hotfix) |
| `AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID` | string | `<Existing Workspace Id>` | Reuses an existing Log Analytics Workspace instead of provisioning a new one. |
| `AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID` | string | Guide to get your [Existing Workspace ID](/docs/re-use-log-analytics.md) | Reuses an existing Log Analytics Workspace instead of provisioning a new one. |


## How to Set a Parameter
Expand All @@ -33,4 +33,4 @@ azd env set <PARAMETER_NAME> <VALUE>

```bash
azd env set AZURE_LOCATION westus2
```
```
8 changes: 8 additions & 0 deletions docs/DeploymentGuide.md
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Expand Up @@ -140,6 +140,14 @@ To adjust quota settings, follow these [steps](./AzureGPTQuotaSettings.md).

</details>

<details>

<summary><b>Reusing an Existing Log Analytics Workspace</b></summary>

Guide to get your [Existing Workspace ID](/docs/re-use-log-analytics.md)

</details>

### Deploying with AZD

Once you've opened the project in [Codespaces](#github-codespaces), [Dev Containers](#vs-code-dev-containers), or [locally](#local-environment), you can deploy it to Azure by following these steps:
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31 changes: 31 additions & 0 deletions docs/re-use-log-analytics.md
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[← Back to *DEPLOYMENT* guide](https://github.com/microsoft/content-processing-solution-accelerator/blob/psl-re-use-fileupdate/docs/DeploymentGuide.md#deployment-options--steps)

# Reusing an Existing Log Analytics Workspace
To configure your environment to use an existing Log Analytics Workspace, follow these steps:
---
### 1. Go to Azure Portal
Go to https://portal.azure.com

### 2. Search for Log Analytics
In the search bar at the top, type "Log Analytics workspaces" and click on it and click on the workspace you want to use.
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Copilot AI Jun 25, 2025

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[nitpick] The instruction repeats "click": simplify to "In the search bar, type 'Log Analytics workspaces', select it, then choose the workspace you want to use."

Suggested change
In the search bar at the top, type "Log Analytics workspaces" and click on it and click on the workspace you want to use.
In the search bar at the top, type "Log Analytics workspaces", select it, then choose the workspace you want to use.

Copilot uses AI. Check for mistakes.

![alt text](../docs/images/re_use_log/logAnalyticsList.png)

### 3. Copy Resource ID
In the Overview pane, Click on JSON View

![alt text](../docs/images/re_use_log/logAnalytics.png)

Copy Resource ID that is your Workspace ID

![alt text](../docs/images/re_use_log/logAnalyticsJson.png)

### 4. Set the Workspace ID in Your Environment
Run the following command in your terminal
```bash
azd env set AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID '<Existing Log Analytics Workspace Id>'
```
Replace `<Existing Log Analytics Workspace Id>` with the value obtained from Step 3.

### 5. Continue Deployment
Proceed with the next steps in the [deployment guide](https://github.com/microsoft/content-processing-solution-accelerator/blob/psl-re-use-fileupdate/docs/DeploymentGuide.md#deployment-options--steps).
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