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chore: Dev v4 to main #752
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…rts, and enhance search configuration handling
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Copilot <[email protected]>
fix: Improve the LocalDevelopmentSetup.md documentation to enhance clarity and make the setup steps easier for users to follow.
docs: Updated SampleQuestions.md for RFP and contract scenario
…streamline logic; update TeamSelector button disable condition; increment uv.lock revision
docs: fix some inconsistency in DeploymentGuide.md
docs: Readme updates
refactor: clean up code across multiple components
* update deployment guide and README links for VS Code Web * docs: update Visual Studio Code Web link in deployment guide --------- Co-authored-by: Avijit-Microsoft <[email protected]>
chore: Merge remote-tracking branch 'origin/main' into dev-v4
Prajwal-Microsoft
approved these changes
Jan 5, 2026
Roopan-Microsoft
approved these changes
Jan 5, 2026
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🎉 This PR is included in version 4.0.2 🎉 The release is available on GitHub release Your semantic-release bot 📦🚀 |
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Purpose
This pull request includes several improvements and updates across documentation, backend configuration, logging, error handling, and testing. The most significant changes are the addition of new sample scenarios in documentation, enhanced logging for agent lifecycle events, updates to environment variables for model selection, improved error handling in the backend, and better feedback for document indexing and uploads.
Documentation Enhancements:
docs/SampleQuestions.md, including step-by-step instructions and notes on agent usage and response times. Also clarified the availability of teams based on post-deployment selection. [1] [2]Backend Logging and Error Handling:
lifecycle.py), replacing silent exception handling with warnings that provide context if agent registration, closing, or unregistration fails. [1] [2] [3]/input_taskendpoint test to assert proper 400 responses and error messages for invalid JSON input.Configuration and Environment Updates:
.env.sampleto use the latest Azure OpenAI model (gpt-4.1-mini) and deployment names, revised API versions, and adjusted reasoning model configuration. Also updated MCP server details and supported models.Data Indexing and Upload Feedback:
index_datasets.pyby reporting the number of succeeded and failed uploads, and removing unused result assignments. [1] [2]Code Maintenance and Cleanup:
These changes collectively improve user guidance, backend reliability, and system observability.
Does this introduce a breaking change?
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