feat: implement integrated JIT benchmarking suite #605
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Kesavaraja67
requested review from
Anshgrover23,
Suyashd999 and
mikejmorgan-ai
as code owners
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Note Other AI code review bot(s) detectedCodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review. 📝 WalkthroughWalkthroughAdds a new JIT benchmarking subsystem and CLI integration: Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant CLI
participant JITBenchmark
participant BenchFunc as Benchmark<br/>Functions
User->>CLI: cortex jit-benchmark run --benchmark startup --iterations 100
CLI->>JITBenchmark: run_jit_benchmark(action="run", benchmark_name="startup", iterations=100)
JITBenchmark->>JITBenchmark: _detect_jit()
JITBenchmark->>BenchFunc: _bench_cli_startup()
BenchFunc-->>JITBenchmark: BenchmarkResult
JITBenchmark->>JITBenchmark: aggregate & format results
JITBenchmark-->>CLI: print results / exit code
CLI-->>User: formatted output
sequenceDiagram
participant User
participant CLI
participant CompareFunc as compare_results()
participant FileSystem as File System
User->>CLI: cortex jit-benchmark compare --baseline baseline.json --jit jit.json
CLI->>CompareFunc: compare_results(baseline.json, jit.json)
CompareFunc->>FileSystem: read baseline.json
FileSystem-->>CompareFunc: baseline data
CompareFunc->>FileSystem: read jit.json
FileSystem-->>CompareFunc: jit data
CompareFunc->>CompareFunc: compute BenchmarkComparison entries & summary
CompareFunc-->>CLI: render Rich table (comparisons)
CLI-->>User: comparison report
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45 minutes Suggested reviewers
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📜 Recent review detailsConfiguration used: defaults Review profile: CHILL Plan: Pro 📒 Files selected for processing (1)
🧰 Additional context used📓 Path-based instructions (1)**/*.py📄 CodeRabbit inference engine (AGENTS.md)
Files:
🧬 Code graph analysis (1)cortex/cli.py (1)
🔇 Additional comments (5)
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Summary of ChangesHello @Kesavaraja67, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces a robust JIT compiler benchmarking suite for Cortex operations. Its primary purpose is to provide developers and users with tools to measure and compare the performance impact of Python 3.13+'s experimental JIT compilation across critical application areas. By offering detailed metrics, visual comparisons, and actionable recommendations, this feature empowers users to understand and optimize Cortex's execution speed, particularly in environments where JIT can offer significant gains. Highlights
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Code Review
This pull request introduces a comprehensive and well-structured JIT benchmarking suite. The code is clean, well-documented, and includes a thorough test suite. The CLI integration is also well-implemented. My feedback focuses on improving maintainability by reducing code duplication and magic numbers, increasing robustness against malformed input files, and adopting more modern Python syntax for type hints. Overall, this is a great feature addition.
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@Anshgrover23 will address that shortly. |
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Actionable comments posted: 1
🧹 Nitpick comments (1)
README.md (1)
203-203: Consider showing subcommand structure for consistency.The command reference entry for
cortex jit-benchmarkdoesn't indicate that it accepts subcommands, unlike other commands in the table that show their parameter structure (e.g.,cortex install <query>,cortex rollback <id>).📋 Suggested improvement
Consider updating to show the subcommand structure:
-| `cortex jit-benchmark` | Run Python 3.13+ JIT performance benchmarks | +| `cortex jit-benchmark <subcommand>` | Run, compare, and analyze Python 3.13+ JIT performance benchmarks |Or, if space permits, expand to multiple rows showing key subcommands like the
cortex installentries do.
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📒 Files selected for processing (2)
README.mddocs/JIT_BENCHMARK.md
✅ Files skipped from review due to trivial changes (1)
- docs/JIT_BENCHMARK.md
🧰 Additional context used
🧠 Learnings (1)
📚 Learning: 2026-01-12T20:51:13.828Z
Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-12T20:51:13.828Z
Learning: Add documentation for all new features
Applied to files:
README.md
🔇 Additional comments (2)
README.md (2)
72-72: LGTM!The feature table entry is clear and accurately describes the JIT benchmarking capability.
395-395: LGTM!The completed feature entry accurately reflects the new JIT benchmarking capability.
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Hi @Anshgrover23 i have added documentation and also updated with the main repo and also linted my code but still the linting is failing. |
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@Kesavaraja67 Lint is failing on main. Will review once it’s fixed.
CLA Verification PassedAll contributors have signed the CLA.
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@Kesavaraja67 Kindly pull the latest changes, lint issue is fixed on main. |
…67/cortex into feat/jit-benchmarking
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@Anshgrover23 added documentation and also updated with main branch. |
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Addressed the requested changes.
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@Kesavaraja67 Issue is shifted to Pro, as we are internally handling it now. |
2 participants
Summary
Implements comprehensive JIT compiler benchmarking suite for Cortex operations as requested in cortexlinux/cortex-pro#3. Benchmarks CLI startup, command parsing, cache operations, and response streaming with Python 3.13+ experimental JIT support.
Related Issue
Closes cortexlinux/cortex-pro#3
Type of Change
AI Disclosure
Testing
Test Coverage: 89% for jit_benchmark.py
Tested on:
Commands tested:
All benchmarks complete in <60 seconds.
Demo
Issue_jit_benchmark.mp4
Changes
New Files
cortex/jit_benchmark.py- Main benchmarking module (400+ lines)tests/test_jit_benchmark.py- Comprehensive test suite (300+ lines)Modified Files
cortex/cli.py- Addedjit-benchmarkcommand integrationFeatures
Acceptance Criteria Met
Checklist
pytest tests/test_jit_benchmark.py -v)Pytest Coverage
Video.Project.7.mp4
Summary by CodeRabbit
New Features
Tests
Documentation
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