The benchmark harness compares naive execution against Gemma4-WDC's deduplicated shared execution path on small, auditable scenarios. The purpose is clarity, not dramatic numbers.
coding_repo_scanParallel coding-agent branches ask overlapping repo-understanding questions against the same repository slice.document_researchResearch branches extract closely related evidence from the same local corpus.api_fanoutSeveral agents converge on the same outbound API work.false_collapse_safetySimilar-looking tasks are intentionally designed to remain separate.
- tasks requested
- actual executions performed
- executions saved
- dedup ratio
- collapse precision
- false-collapse rate
- mock latency proxy from the current executor path
- raw runtime counters emitted by the prototype
The harness tests whether the middleware can:
- detect overlap before execution starts
- collapse matching tasks into shared execution units
- preserve separation in safety counterexamples
- expose results in a transparent, inspectable summary
Each scenario is hand-authored so expected overlap groups remain easy to audit.
- production latency under real tool backends
- multi-node coordination overhead
- true concurrent heavy-model behavior on a laptop
- planner quality from live multi-agent traces
- long-horizon intermediate state reuse
- a saved execution means fewer backend calls would have been issued for the same task stream
- a zero false-collapse rate means the current hand-authored safety cases stayed separate
- timing is only a local proxy because executors are mocked or lightweight
- results should be read as preliminary prototype indicators, not cluster-scale claims
- scenario-driven rather than trace-driven
- local single-process runtime
- hand-labeled expected overlap groups
- mock or lightweight executors
- hybrid mode is not yet the benchmark center of gravity