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Basic Information

GeniA is an open source AI platform designed to act as a production-ready AI team member for engineering organizations. It uses OpenAI function-calling to interact with external systems and requires an OpenAI API key. The project can be installed via pip and launched as a Streamlit web app, and it is intended to be integrated into team workflows such as Slack or containerized production environments. The README emphasizes uses across engineering domains including DevOps, SRE, SecOps and FinOps and provides concrete scenarios like deploying Kubernetes services with Argo, troubleshooting production incidents, running vulnerability checks on S3 buckets and generating cloud cost reports. The repo includes documentation, demo media, and guidance on teaching GeniA new tools so teams can extend its capabilities for their own operational processes.

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App Details

Features
The repository highlights several practical features: it is built on OpenAI function-calling and supports Azure/OpenAI endpoints, it is packaged for quick installation via pip and exposes a Streamlit web UI, and it is intended to run in containers for production usage. Integration points and examples include Slack integration, Kubernetes and Argo deployment automation, cloud cost and ECR usage reporting, S3 vulnerability analysis, and runtime troubleshooting for services. The project is expandable with a documented extension process for adding new tools, ships with example scenarios and media, and is licensed under Apache 2.0 to enable community contributions. The README also documents future plans such as SSO and RBAC to support enterprise use.
Use Cases
GeniA is helpful by automating repetitive operational engineering tasks and by providing a conversational, extendable assistant within team workflows. It can reduce mean time to resolution by assisting with incident troubleshooting, summarizing logs and PRs, and initiating builds or deployments. For FinOps it can generate reports on unused cloud resources and ECR usage to identify cost savings. For SecOps it can run shift-left vulnerability checks and help apply playbooks. For DevOps and SRE teams it can scale services, modify cluster resources, and advise on upgrades. Because it is open source and extensible, teams can teach it to use their custom tools and integrate it into Slack or CI/CD environments to speed daily operations and reduce cross-team dependencies.

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