ToolGuard – Pytest for AI agent tool calls
Layer 2 execution testing without LLMs when eval frameworks only test intelligence.
Open Agent Spec is a declarative YAML standard and CLI for defining and generating AI agents. One spec, any LLM engine (OpenAI, Anthropic, Grok, Cortex, local, custom).
Schema validation catches LLM output mismatches before they break downstream systems.
AI engineers, backend developers building agent systems
LangChain · Instructor · DSPy
Layer 2 execution testing without LLMs when eval frameworks only test intelligence.
Five queries vector stores can't answer: why(), tensions(), blocked(), whatIf(), alternatives().
Another general-purpose AI agent competing with Cursor and Claude Code.
It doesn't guess diff hunks — it runs iterative Copilot-agent loops and ranks candidate prompts by technical similarity and a separate 'realism' score, with explicit rules (no code blocks, structured markdown sections) to keep outputs human-like. The alpha-weighted scoring, model override, and prebuilt binaries show this is more than an experiment: it's practical for mining realistic specs from history or auditing intent at scale.
Annotated Markdown as source of truth, code as compiled output from AI agent.
Typed EAV model lets agents query deals by actual numbers, not string coercion.