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tegwick 144a88c0c2 feat(prompts): add batch LLM evaluation orchestrator (S1.6) 
BatchEvaluator runs evaluation prompts across item batches with
incremental evaluation (skip unchanged via content digest), per-item
error isolation, progress callbacks, and aggregate token usage tracking.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-19 01:40:13 +01:00
..
__init__.py feat(prompts): implement Phase 4 - Execution Engine (FR-4, FR-5) 2026-02-08 23:15:33 +01:00
batch.py feat(prompts): add batch LLM evaluation orchestrator (S1.6) 2026-02-19 01:40:13 +01:00
engine.py feat(prompts): implement Phase 4 - Execution Engine (FR-4, FR-5) 2026-02-08 23:15:33 +01:00
llm_adapter.py feat(prompts): implement Phase 4 - Execution Engine (FR-4, FR-5) 2026-02-08 23:15:33 +01:00
manifest.py feat(prompts): implement Phase 4 - Execution Engine (FR-4, FR-5) 2026-02-08 23:15:33 +01:00
models.py feat(prompts): implement Phase 4 - Execution Engine (FR-4, FR-5) 2026-02-08 23:15:33 +01:00