[P1] Build benchmark and conformance suite for RLM, agents, and MCP #18

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opened 2026-08-12 01:20:01 +00:00 by lost-rob0t · 0 comments
lost-rob0t commented 2026-08-12 01:20:01 +00:00 (Migrated from github.com)

Goal

Make architectural claims measurable and prevent regressions across recursion, providers, tools, graph execution, and MCP versions.

Scope

  • add long-context fixtures for peek/search/partition/map/reduce;
  • add direct-LM vs RLM comparisons;
  • add depth 0/1/2 comparisons under fixed budgets;
  • measure quality, calls, tokens, latency, cost, recursion depth, and context bytes inspected;
  • add structured-plan validation/failure fixtures;
  • add agent supervision/cancellation/backpressure fixtures;
  • add graph checkpoint/resume fixtures;
  • add MCP 2025-only, 2026-only, and dual-version conformance fixtures;
  • produce machine-readable benchmark output plus concise human summary.

Acceptance criteria

  • one command runs deterministic conformance tests without paid APIs;
  • optional integration mode runs real-provider benchmarks when credentials exist;
  • benchmark output can compare direct LM and RLM under the same task/budget;
  • MCP compatibility matrix is automated;
  • CI runs the deterministic subset;
  • regressions in token/call/latency budgets can be detected.

Dependencies

Research

See the evaluation sections across RLM-RESEARCH-002 through RLM-RESEARCH-009.

## Goal Make architectural claims measurable and prevent regressions across recursion, providers, tools, graph execution, and MCP versions. ## Scope - add long-context fixtures for peek/search/partition/map/reduce; - add direct-LM vs RLM comparisons; - add depth 0/1/2 comparisons under fixed budgets; - measure quality, calls, tokens, latency, cost, recursion depth, and context bytes inspected; - add structured-plan validation/failure fixtures; - add agent supervision/cancellation/backpressure fixtures; - add graph checkpoint/resume fixtures; - add MCP 2025-only, 2026-only, and dual-version conformance fixtures; - produce machine-readable benchmark output plus concise human summary. ## Acceptance criteria - one command runs deterministic conformance tests without paid APIs; - optional integration mode runs real-provider benchmarks when credentials exist; - benchmark output can compare direct LM and RLM under the same task/budget; - MCP compatibility matrix is automated; - CI runs the deterministic subset; - regressions in token/call/latency budgets can be detected. ## Dependencies - #9 - #10 - #11 - #12 - #15 - #17 - parent #3 ## Research See the evaluation sections across `RLM-RESEARCH-002` through `RLM-RESEARCH-009`.
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Reference
nsaspy/prolog-rlm#18
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