Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Systems

2026-05-28T08:51:55Z138fdc6085c081dad18d6c6bdb780d289ceb274483690cefd1f94f9738a4cd7a
ARMetaDeltaMCPGUI agentsKimi K2.5 model evaluation','provenance tracking','SOURCETRACKERLLM agentsMCPModel Context ProtocolOpenAPIPlay2CodePlaytestArenaRAMPREST API testingRouterTool Forgeaccessibility repairagentic systemscredential bindingsgame generationincremental regenerationmetamorphic testingproduction systemsruntime evaluationsandbox validationtoolchain governanceweb accessibility

What happened

Collection of recent software-engineering and agentic-LLM research focused on production-grounded evaluation, toolchain governance, testing, and provenance. Key contributions: RAMP — a runtime assessment framework showing severe capability degradation and failure propagation in long-horizon agent workflows; Tool Forge — a validation-carrying toolchain and Router for governed, token-efficient tool exposure (notes governance, credential bindings, and sandbox validation); DeltaMCP — spec-aware incremental regeneration for MCP servers; ARMeta and PlaytestArena/Play2Code — multi-agent LLM workflows

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_se
Record identifier
138fdc6085c081dad18d6c6bdb780d289ceb274483690cefd1f94f9738a4cd7a
Enrichment time
2026-05-28T08:51:55Z
AI-assisted enrichment
Yes

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Record · Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Systems · Baitaphish