- Fix CLI WebSocket port (9101 vs 9103) in both status and authenticateUser
- Add researcher_user and analyst_user to server config with proper permissions
- Fix API key hashes for all users (complete 64-char SHA256)
- Enable IP whitelist with localhost and private network ranges
- Fix memory leaks in WebSocket handshake (proper key cleanup)
- Fix binary character display in server responses
- All authentication tests now pass: admin, researcher, analyst
Status: Multi-user authentication fully functional
- 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 comprehensive README with architecture overview and quick start guide
- Set up Go module with production-ready dependencies
- Configure build system with Makefile for development and production builds
- Add Docker Compose for local development environment
- Include project configuration files (linting, Python, etc.)
This establishes the foundation for a production-ready ML experiment platform
with task queuing, monitoring, and modern CLI/API interface.
