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updated the documents and resolve the code quality issue
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docs/CustomizingAzdParameters.md

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| Name | Type | Default Value | Purpose |
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| ------------------------------- | ------ | ----------------- | --------------------------------------------------------------------------------------------------- |
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| `AZURE_ENV_DEPLOYMENT_FLAVOR` | string | `bicep` | Used for different deployment flavor, accepted values `bicep`, `avm`, `avm-waf` |
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| `AZURE_ENV_NAME` | string | `macae` | Used as a prefix for all resource names to ensure uniqueness across environments. |
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| `AZURE_LOCATION` | string | `<User selects during deployment>` | Location of the Azure resources. Controls where the infrastructure will be deployed. |
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| `AZURE_ENV_AI_SERVICE_LOCATION` | string | `<User selects during deployment>` | Specifies the region for OpenAI resource deployment. |
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| `AZURE_ENV_MODEL_5_4_DEPLOYMENT_TYPE` | string | `GlobalStandard` | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard). |
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| `AZURE_ENV_MODEL_5_4_NAME` | string | `gpt-5.4` | Specifies the name of the GPT model to be deployed. |
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| `AZURE_ENV_MODEL_5_4_VERSION` | string | `2026-03-05` | Version of the GPT model to be used for deployment. |
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| `AZURE_ENV_MODEL_5_4_CAPACITY` | int | `150` | Sets the GPT model capacity. |
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| `AZURE_ENV_IMAGE_TAG` | string | `latest_v5` | Docker image tag used for container deployments. |
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| `AZURE_ENV_MODEL_5_4_CAPACITY` | int | `150` | Sets the GPT model capacity. | |
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| `AZURE_ENV_ENABLE_TELEMETRY` | bool | `true` | Enables telemetry for monitoring and diagnostics. |
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| `AZURE_EXISTING_AIPROJECT_RESOURCE_ID` | string | `<Existing Workspace Id>` | Set this if you want to reuse an AI Foundry Project instead of creating a new one. |
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| `AZURE_ENV_EXISTING_LOG_ANALYTICS_WORKSPACE_RID` | string | Guide to get your [Existing Workspace ID](re-use-log-analytics.md) | Set this if you want to reuse an existing Log Analytics Workspace instead of creating a new one. |

docs/ManualAzureDeployment.md

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docs/feature-changelog.md

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infra/scripts/post-provision/upload_team_config.py

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import os
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import time
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import requests
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import json
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HTTP_TIMEOUT = 120 # seconds per request
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MAX_RETRIES = 5

src/tests/backend/common/utils/test_team_utils.py

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"""Unit tests for team_utils module."""
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import logging
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import os
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import sys
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import uuid
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from unittest.mock import AsyncMock, MagicMock, Mock, patch
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from unittest.mock import AsyncMock, Mock, patch
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import pytest
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