Single-node airouter workflow for one-requirement/one-test tasks.
Optional test_target param focuses the agent on a specific pytest
node ID. Cost-optimised: labels=[airouter], cost_efficiency≥9.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- minimax.yaml: scores copied from Opus (placeholder until real benchmark),
cost 0.0/0.0 (subscription), provider=minimax. Now auto-selectable by
min_scores routing (smart-agent at complexity≥9 will reach it).
- tdd-impl → write-code-following-tdd (name field updated)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Two agents (impl_a: airouter, impl_b: best-complexity model) implement
in parallel against pre-written tests using TDD composites. An audit
node compares both outputs and emits a JSON verdict (pass/more_work_needed,
winner: a/b/neither, gaps). Harnesses are param-overridable for
provider flexibility. F-WE-PDIV note in description for future
unique_providers enforcement.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
