- Add SQLite amalgamation fetch script (make build-sqlite)
- Embed SQLite in release builds, link system lib in dev
- Create sqlite_embedded.zig utility module
- Unify experiment/run/log commands with auto mode detection
- Add Forgejo CI workflow for building with embedded SQLite
- Update READMEs for local mode and build instructions
SQLite follows rsync embedding pattern: assets/sqlite_release_<os>_<arch>/
Zero external dependencies for release builds.
Extract common UserContext and authentication logic from cancel.zig and
status.zig into new utils/auth.zig module. Add CommonFlags struct to
utils/flags.zig for shared CLI flags. Add getWebSocketUrl() helper to
Config to eliminate URL construction duplication.
Changes:
- Create cli/src/utils/auth.zig with UserContext and authenticateUser()
- Create cli/src/utils/flags.zig with CommonFlags struct
- Update cancel.zig and status.zig to use shared modules
- Add getWebSocketUrl() helper to config.zig
- Export new modules from utils.zig
Reduces code duplication and improves separation of concerns in the
Zig CLI codebase.
- Move ci-test.sh and setup.sh to scripts/
- Trim docs/src/zig-cli.md to current structure
- Replace hardcoded secrets with placeholders in configs
- Update .gitignore to block .env*, secrets/, keys, build artifacts
- Slim README.md to reflect current CLI/TUI split
- Add cleanup trap to ci-test.sh
- Ensure no secrets are committed
- Fix YAML tags in auth config struct (json -> yaml)
- Update CLI configs to use pre-hashed API keys
- Remove double hashing in WebSocket client
- Fix port mapping (9102 -> 9103) in CLI commands
- Update permission keys to use jobs:read, jobs:create, etc.
- Clean up all debug logging from CLI and server
- All user roles now authenticate correctly:
* Admin: Can queue jobs and see all jobs
* Researcher: Can queue jobs and see own jobs
* Analyst: Can see status (read-only access)
Multi-user authentication is now fully functional.
- Add modern CLI interface built with Zig for performance
- Include TUI (Terminal User Interface) with bubbletea-like features
- Implement ML experiment commands (run, status, manage)
- Add configuration management and validation
- Include shell completion scripts for bash and zsh
- Add comprehensive CLI testing framework
- Support for multiple ML frameworks and project types
CLI provides fast, efficient interface for ML experiment management
with modern terminal UI and comprehensive feature set.
