REST API Unit tests added

BREAKING CHANGES

• Major public API rewrite.
• Moved configuration from agent to builder object.

FEATURES

• Added support for dispatch handlers.
• Added dedicated form data type.

CHORES

• Reorganized project structure.
• Updated README.

Release Notes: ClaimAuditAI v1.0.1
This release focuses on production-hardening the containerized deployment lifecycle, resolving startup database initialization errors, and fixing data seeding reliability issues reported during InterSystems Open Exchange verification.

Key Changes & Enhancements:
Build-Time FHIR Provisioning: Moved FHIR server installation (/fhir/r4) and recursive class compilation directly into the docker build phase (iris.script). This ensures all schema tables, vector indices, and custom classes are baked directly into the container image, resolving 404 endpoint errors and startup race conditions.

REST Output Stream Protection: Implemented a quiet mode (pQuiet parameter) in the database Setup() method. This suppresses terminal writes when database initialization is triggered from REST controllers, preventing HTTP response pollution and resolving client-side JSON parsing errors (Expecting value: line 1 column 1) during data seeding.

Programmatic Namespace Safety: Wrapped the sample data loader (LoadSampleData()) in a scoped in-memory namespace switch to INTEROP. This resolves the ServiceIdIdx registry lookup failure if the CLI seeding command is executed from a default namespace (e.g. USER).

Robust Container Start Fallbacks: Updated the runtime initialization script (init_iris.sh) to recursively compile all custom classes (including ClaimAudit.Data and ClaimAudit.FHIR) using LoadDir, ensuring correct compilation ordering when deploying with empty persistent volumes.

ZPM Package Alignment: Correctly registered ClaimAudit.Data.PKG in module.xml to track and compile the GraphStore class within ZPM.

Expanded Diagnostic Wiki: Added new troubleshooting guides to the project wiki detailing resolution steps for ServiceIdIdx failures, missing database tables, and REST output pollution.

Fixes Applied per Review Feedback

New Release
Application Name: HealthCoach AI – FHIR Practice Arena
Current Version: 1.0.2
New Version: 1.0.3
Release Date: 06/19/2026
Release Notes:
We are pleased to announce version 1.0.3 of HealthCoach AI – FHIR Practice Arena, an interactive educational platform designed to help healthcare IT professionals, developers, and students master FHIR interoperability with the assistance of an AI coach.
This release focuses on making the application fully testable and accessible for InterSystems Open Exchange reviewers and end users. The app now runs without requiring any external API keys, ensuring a smooth first-use experience.
What's New in This Release:

• The Groq API key is now optional. If no key is provided, the AI Coach falls back to a helpful generic response, so users can test the full workflow without any setup.
• Supabase integration is now optional and flexible. The app automatically detects Supabase credentials whether they are stored as flat keys or nested under a supabase section.
• Added a Supabase status indicator in the sidebar to show whether the optional logging feature is active.
• Improved error handling throughout the application – the app no longer crashes when secrets are missing.
• Updated the Documentation tab to reflect that the Groq key is optional, with clear instructions for both flat and nested secrets formats.
• The Practice Problem tab remains fully functional and independent of any API keys.
• The AI Coach tab now clearly indicates when it is running in fallback mode, so users understand the expected behavior.
  Key Features:
• Video introduction explaining the platform and its learning approach.
• Hands-on practice problem: calculate a patient's age from a FHIR Patient resource.
• AI coach powered by Groq's Llama 3.1 (optional – fallback mode available).
• Optional Supabase logging for tracking user interactions.
• Multi-language support for English, Français, and Español.
• Comprehensive documentation included.
  Live Demo:
  https://healthcoach-ai-fhir-training-uzdeefhyupvfjkywurau6w.streamlit.app/
  Repository:
  https://github.com/Deslandes1/healthcoach-ai-fhir-training
  Technologies Used:
• Python 3.8+
• Streamlit
• Groq API (optional)
• Supabase (optional)
• FHIR (HL7)
  Feedback and Support:
  Please report issues or suggest features through GitHub Issues:
  https://github.com/Deslandes1/healthcoach-ai-fhir-training/issues
  About the Developer:
  This application was built by Gesner Deslandes, Engineer-in-Chief at GlobalInternet.py. We deliver tailored software solutions connecting global markets with local expertise.
  Contact:
  Email: deslandes78@gmail.com
  Phone: (509) 4738 5663
  Website: https://globalinternetsitepy-abh7v6tnmskxxnuplrdcgk.streamlit.app/
  GitHub: https://github.com/Deslandes1
  We are committed to continuous improvement and welcome collaboration opportunities. Explore the demo, test the features, and let us know how we can serve your learning needs.