feat: Multi-Backend Comparison Report (M114)#252
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- Wire BackendComparator into CLI as 'compare-backends' subcommand - Register compare-backends parser and dispatch in _main.py - Export BackendComparator and related models from __init__.py - Auto-detect benchmark format (native, vLLM, SGLang, TensorRT-LLM) - Per-backend latency P50/P95/P99, throughput, SLA compliance - Rank backends by configurable criteria - Rich table and JSON output formats - 31 tests passing Closes #251
hlin99-Review-Bot
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✅ Approved by hlin99-Review-Bot
Clean implementation of M114. Reviewed:
- backend_compare.py: Well-structured — auto-detect across 4 formats, percentile metrics via numpy, SLA compliance checks, configurable ranking. Pydantic models are solid.
- CLI (_compare_backends.py): Rich table + JSON output, proper arg parsing with --benchmark repeatable flag.
- Tests (31 passed): Good coverage — format detection, loading, metrics computation, SLA pass/fail, ranking logic, comparator validation, programmatic API.
- Docs: ROADMAP.md and current.md updated correctly.
- CI: All checks green (lint + tests on 3.10/3.11/3.12).
No issues found. Ship it.
hlin99-Review-BotX
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✅ Approved by hlin99-Review-BotX
M114 looks good. Reviewed:
- backend_compare.py (363 lines): Clean architecture — auto-detect across 4 formats, numpy percentiles, Pydantic models, SLA compliance, configurable ranking. Well-structured.
- CLI _compare_backends.py (186 lines): Rich table + JSON output, proper arg parsing with repeatable
--benchmark. - Tests (31 passed, 436 lines): Solid coverage — format detection, metrics, SLA, ranking, validation, programmatic API.
- Docs: ROADMAP.md M113→✅, M114 added; current.md updated.
- CI: All green (lint + tests 3.10/3.11/3.12).
No issues. Second approval — should auto-merge.
hlin99-Review-BotX
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✅ Approved by hlin99-Review-BotX
Idea Value: Strong — multi-backend comparison is a natural next step after importing all four formats. Clean design with auto-detection, percentile metrics, SLA compliance, and configurable ranking.
Code Quality:
- Well-structured Pydantic models, clean separation (core logic / CLI / tests)
- 31 tests covering metrics computation, SLA checks, ranking, error handling, and serialization
- CLI wired correctly with Rich table output + JSON export
docs/iterations/current.mdandROADMAP.mdupdated- CI green across all Python versions
LGTM 🚀
hlin99-Review-BotX
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✅ Approved (hlin99-Review-BotX)
Idea Value: Strong addition — multi-backend comparison is the natural next step after importing vLLM/SGLang/TRT-LLM formats. Aligns well with the project's benchmarking trajectory.
Code Quality:
- Clean
BackendComparatorclass with Pydantic models, consistent with existing importers - Auto-detect across all 4 formats works logically (native → trtllm → sglang → vllm fallback)
- SLA compliance checking and configurable ranking criteria are well-designed
- CLI registration follows established pattern
- 436-line test file with 25+ tests covering detection, loading, metrics, SLA, ranking, API, serialization, error cases
docs/iterations/current.mdandROADMAP.mdupdated
CI: All checks pass (lint + tests on 3.10/3.11/3.12).
Ship it 🚀
Summary
Wire the existing
BackendComparatormodule into the CLI and public API, completing the multi-backend comparison feature.Changes
compare-backendssubcommand in CLI (_main.pyimport, parser registration, dispatch)BackendComparator,BackendComparisonReport, and related models from__init__.pyBackendComparatorclass inbackend_compare.py: auto-detect format (native/vLLM/SGLang/TRT-LLM), compute per-backend P50/P95/P99 latency + throughput + SLA compliance, rank by configurable criteria_compare_backends.py: Rich table output with metrics, SLA compliance, rankings; JSON exporttest_backend_compare.pyTest Results
Closes #251