RubyLLM:Agents – A Rails engine for building and monitoring LLM agents
Rails-native LLM agent DSL with built-in cost tracking and multi-tenant dashboard.
Runtime economic governance for AI agents. Circuit Breaker adds risk-managed execution, cost ceilings, and kill switches to autonomous AI workflows.
Simple wrapper preventing runaway agent costs before they hit your credit card.
Developers deploying autonomous AI agents
LangSmith · Helicone · Portkey
Rails-native LLM agent DSL with built-in cost tracking and multi-tenant dashboard.
VERONICA puts an enforcement shim between your agent and the model so you can halt costly spirals before a request hits the provider — it natively exposes hard budget enforcement, circuit breakers, retry containment and degradation levels. The README + runnable runaway-loop demo make the failure mode concrete and the API (BudgetEnforcer, RuntimeContext, BudgetExceeded) is small and practical. I'd like to see richer observability/adapter docs for common agent frameworks, but as an enforcement-first primitive this is a clever, useful tool.
Real threat model for agentic systems: detects prompt injection pre-execution.
Token burner satire with TUI dashboard, but intentionally useless by design.
Agent accountability layer with identity + audit, but features are mostly API orchestration around five LLMs.
Sealed-bid auction for agent task routing is genuinely novel—nobody else does economic coordination.