fix: Bugfixes and Content Corrections#1026
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Akhileswara-Microsoft
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Pull request overview
This PR updates documentation and configuration to reflect GPT-4.1 as the default model, adds a new “Retail Marketing Content Generation” sample scenario/team, and applies small correctness/typo fixes across backend tracing, frontend copy, and docs.
Changes:
- Updated docs to reference GPT-4.1 and improved auth/quota guidance text.
- Added a new “Retail Marketing Content Generation” team and walkthrough to sample prompts.
- Fixed OpenTelemetry service name (
macwe→macae) and aligned unit tests; corrected minor UI/doc typos and Vitest setup file extension.
Reviewed changes
Copilot reviewed 14 out of 14 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| TRANSPARENCY_FAQS.md | Updates default model reference to GPT-4.1 in transparency guidance. |
| src/tests/backend/common/utils/test_otlp_tracing.py | Updates assertions to match new tracing service name. |
| src/backend/common/utils/otlp_tracing.py | Changes OpenTelemetry service.name to macae. |
| src/backend/auth/auth_utils.py | Fixes a comment typo. |
| src/App/vitest.config.ts | Updates Vitest setup file extension to .tsx. |
| src/App/src/components/common/TeamSelector.tsx | Fixes UI copy grammar for delete confirmation. |
| src/App/src/commonComponents/modules/ChatExample.tsx | Fixes a typo in a sample chat message. |
| README.md | Standardizes “GitHub” spelling in security guidance. |
| docs/TroubleShootingSteps.md | Fixes grammar (“a bug”) and “GitHub” spelling. |
| docs/SampleQuestions.md | Adds sixth team + new “Retail Marketing Content Generation” scenario walkthrough. |
| docs/quota_check.md | Updates quota guidance to GPT-4.1. |
| docs/mcp_server.md | Replaces tenant/client IDs with placeholders and fixes minor wording. |
| docs/AzureGPTQuotaSettings.md | Updates quota-setting instructions to GPT-4.1. |
| docs/AVMPostDeploymentGuide.md | Corrects Python version guidance (3.9+). |
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Roopan-Microsoft
approved these changes
Jun 11, 2026
Akhileswara-Microsoft
changed the title
- Remove invalid </br> tags in SampleQuestions.md (use <br> instead) - Fix ungrammatical quota sentence in quota_check.md - Fix grammar in ChatExample.tsx user-facing message Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Purpose
This pull request includes a mix of documentation improvements, configuration updates, and minor code and test corrections. The main highlights are the update to use GPT-4.1 as the default model, the addition of a new "Retail Marketing Content Generation" team and scenario.
Key changes:
Model and Configuration Updates
Features and Documentation
mcp_server.mdto use placeholder values for tenant and client IDs, clarifying setup instructions.Bugfixes and Content Corrections
"macwe"to"macae"in both implementation and all related tests for consistency.These changes collectively improve the accuracy, usability, and maintainability of the codebase and its documentation.
Does this introduce a breaking change?
Other Information
This pull request introduces a series of documentation improvements, minor bug fixes, and updates to configuration and sample content. The most notable changes include updating references to the correct GPT model version, enhancing sample scenarios and instructions, and correcting various typos and configuration details to improve clarity and accuracy.
Model and Configuration Updates:
GPT-4otoGPT-4.1to reflect the latest supported model, including in quota settings and operational guidance (docs/AzureGPTQuotaSettings.md,docs/quota_check.md,TRANSPARENCY_FAQS.md).Sample Content and Scenario Enhancements:
docs/SampleQuestions.md).docs/SampleQuestions.md).Bug Fixes and Typos:
ChatExample.tsx).TeamSelector.tsx).auth_utils.py.Configuration and Test Consistency:
"macwe"to"macae"in both implementation and all related unit tests to ensure consistency (otlp_tracing.py,test_otlp_tracing.py)..tsto.tsx(vitest.config.ts).Documentation and Auth Example Improvements:
docs/mcp_server.md).These updates collectively improve usability, clarity, and maintainability across the documentation and codebase.