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Fraud intelligence AI Hack content - #469
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…features - Create azure.yaml for orchestration configuration - Implement run-agent.sh and run-tests.sh for environment setup and testing - Add .azdignore and .dockerignore files to exclude unnecessary files - Develop Dockerfile for containerization of the orchestration service - Implement business_metrics.py to define and record custom metrics - Create hosted_agent_client.py for generating transactions and invoking the hosted agent - Implement main.py to orchestrate the workflow and manage agent interactions - Add requirements.txt for dependency management - Document the challenge objectives and tasks in solution-06.md
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This pull request introduces the initial development environment setup and comprehensive documentation for the Fraud Intelligence Hackathon project. It provides a detailed README, onboarding instructions for participants, and configuration files to enable a ready-to-use Codespaces/devcontainer-based Python environment with Azure and AI tooling. The changes ensure that new users can quickly get started with the hackathon challenges and have all necessary tools and resources available.
Development environment setup:
.devcontainer/devcontainer.jsonto define a Codespaces/devcontainer environment with Python 3.12, Azure CLI (with Bicep), Docker, GitHub CLI, Node.js, PowerShell, and preinstalled VS Code extensions for Python, Azure, AI, and Copilot. Also sets up port forwarding and a post-creation script..devcontainer/post-create.shto automate installation of required Azure and Foundry tools (Bicep, Azure Developer CLI, Foundry extension, Azure Functions Core Tools) after container creation.baseenvscript to define environment variable paths forwalkthroughandchallengesdirectories.Documentation and onboarding:
README.mdexplaining the hackathon scenario, architecture, learning objectives, challenges, repository structure, and contribution guidelines. Includes architecture diagrams and challenge descriptions to guide participants.challenges/challenge-01.mdwith step-by-step instructions for preparing the environment, including signing in to Azure and GitHub, creating a Codespace, and initializing local environment variables. Also provides troubleshooting and further exploration tips.