CPA Manager Plus is a full-stack, self-hosted management panel for AI gateway proxies (CPA / CLIProxyAPI). It provides a rich React dashboard to monitor usage across multiple AI providers, manage credentials and API keys, configure provider-specific settings, automate quota cooldowns and account health actions, and inspect credential health via Codex/xAI probes. The Go backend persists all data in SQLite, runs background workers for data rollups, migrations, and collector polling, and exposes a comprehensive REST API. The codebase is well-structured with a clean layered architecture (HTTP handlers, services, repositories), extensive unit and integration tests in both Go and TypeScript, a demo mode with synthetic data, and i18n support. It is actively maintained with a rigorous release process and frequent updates.
This is a Terraform module, published on the Terraform Registry as `terraform-google-modules/project-factory/google`, that automates the creation and configuration of Google Cloud Platform (GCP) projects. It follows a modular architecture with a root module orchestrating several submodules such as `core_project_factory`, `project_services`, `shared_vpc_access`, `budget`, `quota_manager`, `essential_contacts`, `gsuite_enabled`, and `svpc_service_project`. The module handles project creation, billing association, IAM policy management, Shared VPC attachment, API enablement with service identities, budget alerts, consumer quota overrides, essential contacts, and G Suite group integration (via the third-party `DeviaVir/gsuite` provider). Entry points are the root `main.tf` and the submodule directories; usage is through standard Terraform workflow (`terraform init`, `plan`, `apply`). External dependencies include the `hashicorp/google`, `hashicorp/google-beta`, and optionally `DeviaVir/gsuite` Terraform providers. The repository also provides helper scripts for seed service account setup (`helpers/setup-sa.sh`), state migration (`helpers/migrate.py`, `helpers/migrate4.py`), and prerequisite validation (`helpers/preconditions/preconditions.py`). The codebase is well-structured with extensive use of locals, `for_each` loops, and separation of concerns, making individual submodules reusable across different projects. Despite being infrastructure-as-code, it exhibits strong software engineering practices including semantic versioning, automated testing (Go, InSpec, Python), and CI/CD pipelines.