Current Limitations

This page reflects current implementation status.

Implemented

• CLI with run, mcp, config
• engine REST API
• provider adapters (Anthropic/OpenAI/Gemini)
• Docker-based execution
• generated pytest validation
• weighted scoring and retry loop
• runtime MCP and skills discovery

Not Yet Implemented

• gRPC transport between CLI and engine (HTTP used today)
• fully implemented UI experience (validtr-ui is currently minimal)
• dedicated scorers for infrastructure/research/automation
• persistent run history commands in CLI
• hosted community stack registry

Practical Constraints

• depends on external APIs (provider, registries, optional Tavily)
• registry data can vary over time
• generated tests and completeness scoring depend on LLM quality

Roadmap Link

See explicit implementation matrix:

• /roadmap/implemented-vs-roadmap