Add static inference planning and Vidur drift gates - #2
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What changed
ModelIR -> DistributedTaskIR -> PortablePlanIR, with explicit KV state, workspace capacity, workload facts, collectives, implementation requirements, and pass checkpoints.InferenceCostProvider.resolve()contract; external baselines expose onlyInferenceBaseline.lookup()and cannot participate in lowering or costing.Why
[INFERRED] This establishes the first auditable inference-planning slice while preserving Blueprinting's planning/evidence boundaries. It deliberately does not present static decoder-block composition as a serving-system simulator.
Review fixes included
PlanTask.workloadand explicit plan buffers instead of a hiddenInferenceInvocationcopy.InferenceAnalysisDraft.Validation
uv run pytest: 89 passed.uv run mkdocs build --strict: passed.Known limits and follow-ups
DistributedTaskIRmaterializes a local TP block; PP and replica composition remain analytical outside that graph.