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Merge pull request #7 from microsoft/azd-updates
Azd updates
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‎.github/ISSUE_TEMPLATE/bug_report.md‎

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---
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name: Bug report
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about: Create a report to help us improve
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title: ''
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labels: bug
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assignees: ''
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---
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# Describe the bug
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A clear and concise description of what the bug is.
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# Expected behavior
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A clear and concise description of what you expected to happen.
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# How does this bug make you feel?
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_Share a gif from [giphy](https://giphy.com/) to tells us how you'd feel_
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---
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# Debugging information
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## Steps to reproduce
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Steps to reproduce the behavior:
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1. Go to '...'
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2. Click on '....'
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3. Scroll down to '....'
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4. See error
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## Screenshots
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If applicable, add screenshots to help explain your problem.
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## Logs
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If applicable, add logs to help the engineer debug the problem.
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---
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# Tasks
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_To be filled in by the engineer picking up the issue_
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- [ ] Task 1
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- [ ] Task 2
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- [ ] ...

‎.github/ISSUE_TEMPLATE/feature_request.md‎

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---
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name: Feature request
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about: Suggest an idea for this project
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title: ''
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labels: enhancement
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assignees: ''
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---
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# Motivation
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A clear and concise description of why this feature would be useful and the value it would bring.
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Explain any alternatives considered and why they are not sufficient.
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# How would you feel if this feature request was implemented?
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_Share a gif from [giphy](https://giphy.com/) to tells us how you'd feel. Format: ![alt_text](https://media.giphy.com/media/xxx/giphy.gif)_
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# Requirements
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A list of requirements to consider this feature delivered
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- Requirement 1
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- Requirement 2
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- ...
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# Tasks
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_To be filled in by the engineer picking up the issue_
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- [ ] Task 1
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- [ ] Task 2
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- [ ] ...

‎.github/ISSUE_TEMPLATE/subtask.md‎

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---
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name: Sub task
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about: A sub task
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title: ''
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labels: subtask
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assignees: ''
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---
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Required by <link to parent issue>
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# Description
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A clear and concise description of what this subtask is.
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# Tasks
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_To be filled in by the engineer picking up the subtask
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- [ ] Task 1
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- [ ] Task 2
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- [ ] ...

‎.github/PULL_REQUEST_TEMPLATE.md‎

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## Purpose
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<!-- Describe the intention of the changes being proposed. What problem does it solve or functionality does it add? -->
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* ...
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## Does this introduce a breaking change?
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<!-- Mark one with an "x". -->
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- [ ] Yes
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- [ ] No
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<!-- Please prefix your PR title with one of the following:
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* `feat`: A new feature
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* `fix`: A bug fix
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* `docs`: Documentation only changes
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* `style`: Changes that do not affect the meaning of the code (white-space, formatting, missing semi-colons, etc)
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* `refactor`: A code change that neither fixes a bug nor adds a feature
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* `perf`: A code change that improves performance
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* `test`: Adding missing tests or correcting existing tests
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* `build`: Changes that affect the build system or external dependencies (example scopes: gulp, broccoli, npm)
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* `ci`: Changes to our CI configuration files and scripts (example scopes: Travis, Circle, BrowserStack, SauceLabs)
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* `chore`: Other changes that don't modify src or test files
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* `revert`: Reverts a previous commit
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* !: A breaking change is indicated with a `!` after the listed prefixes above, e.g. `feat!`, `fix!`, `refactor!`, etc.
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-->
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## Golden Path Validation
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- [ ] I have tested the primary workflows (the "golden path") to ensure they function correctly without errors.
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## Deployment Validation
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- [ ] I have validated the deployment process successfully and all services are running as expected with this change.
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## What to Check
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Verify that the following are valid
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* ...
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## Other Information
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<!-- Add any other helpful information that may be needed here. -->
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‎CONTRIBUTING.md‎

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# Contributing
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This project welcomes contributions and suggestions. Most contributions require you to
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agree to a Contributor License Agreement (CLA) declaring that you have the right to,
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and actually do, grant us the rights to use your contribution. For details, visit
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https://cla.microsoft.com.
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When you submit a pull request, a CLA-bot will automatically determine whether you need
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to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the
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instructions provided by the bot. You will only need to do this once across all repositories using our CLA.
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
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For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
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or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

‎TRANSPARENCY_FAQ.md‎

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- ### What are the limitations of the Content Processing Solution Accelerator? How can users minimize the Content Processing Solution Accelerator’s limitations when using the system?
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This solution accelerator can only be used as a sample to accelerate the creation of content processing solutions. The repository showcases a sample scenario of a Data Analyst at a property insurance company, analyzing large amounts of claim-related data, but a human must still be responsible to validate the accuracy and correctness of data extracted for their documents, schema definitions related to business specific documents to be extracted, quality and validation scoring logic and thresholds for human-in-the-loop review, ingesting transformed data into subsequent systems, and their relevancy for using with customers. Users of the accelerator should review the system prompts provided and update as per their organizational guidance. AI generated content in the solution may be inaccurate and should be manually reviewed by the user. Currently, the sample repository is available in English only and is only tested to support PDF, PNG, and JPEG files.
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This solution accelerator can only be used as a sample to accelerate the creation of content processing solutions. The repository showcases a sample scenario of a Data Analyst at a property insurance company, analyzing large amounts of claim-related data, but a human must still be responsible to validate the accuracy and correctness of data extracted for their documents, schema definitions related to business specific documents to be extracted, quality and validation scoring logic and thresholds for human-in-the-loop review, ingesting transformed data into subsequent systems, and their relevancy for using with customers. Users of the accelerator should review the system prompts provided and update as per their organizational guidance. AI generated content in the solution may be inaccurate and should be manually reviewed by the user. Currently, the sample repository is available in English only and is only tested to support PDF, PNG, and JPEG files up to 20MB in size.
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- ### What operational factors and settings allow for effective and responsible use of the Content Processing Solution Accelerator?
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