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nvidiacbrissette wants to merge 2 commits intoNVIDIA:mainfrom
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Test branch#958
nvidiacbrissette wants to merge 2 commits intoNVIDIA:mainfrom
nvidiacbrissette:test-branch

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@nvidiacbrissette nvidiacbrissette commented Mar 15, 2026

Description

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  • I am familiar with the Contributing Guidelines.
  • Testing
    • New or existing tests cover these changes
    • Added tests
    • Created an issue to follow-up
    • NA
  • Documentation
    • The documentation is up to date with these changes
    • Added new documentation
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@nvidiacbrissette nvidiacbrissette requested review from a team as code owners March 15, 2026 21:24
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@nvidiacbrissette nvidiacbrissette deleted the test-branch branch March 15, 2026 21:26
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ℹ️ Recent review info
⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

Run ID: fd4ff1bb-bf11-441d-bbe3-74f81700cfe3

📥 Commits

Reviewing files that changed from the base of the PR and between d531ad1 and c3d76aa.

📒 Files selected for processing (39)
  • .brev/setup.sh
  • AGENTS.md
  • CUOPT-OPT-AGENT.md
  • benchmarks/a1000_mip_bench.py
  • cpp/src/mip_heuristics/feasibility_jump/feasibility_jump.cuh
  • cuoptopt-agent/README.md
  • cuoptopt-agent/config/models.yaml
  • cuoptopt-agent/config/thresholds.yaml
  • cuoptopt-agent/cuoptopt_agent/__init__.py
  • cuoptopt-agent/cuoptopt_agent/git_utils.py
  • cuoptopt-agent/cuoptopt_agent/implementation.py
  • cuoptopt-agent/cuoptopt_agent/main.py
  • cuoptopt-agent/cuoptopt_agent/models.py
  • cuoptopt-agent/cuoptopt_agent/orchestrator.py
  • cuoptopt-agent/cuoptopt_agent/research.py
  • cuoptopt-agent/cuoptopt_agent/skill_loader.py
  • cuoptopt-agent/cuoptopt_agent/testing.py
  • cuoptopt-agent/dashboard/__init__.py
  • cuoptopt-agent/dashboard/db.py
  • cuoptopt-agent/dashboard/server.py
  • cuoptopt-agent/dashboard/static/app.js
  • cuoptopt-agent/dashboard/static/index.html
  • cuoptopt-agent/dashboard/static/style.css
  • cuoptopt-agent/pyproject.toml
  • cuoptopt-agent/requirements.txt
  • cuoptopt-agent/skills/benchmarking-methodology/SKILL.md
  • cuoptopt-agent/skills/cuda-optimization/SKILL.md
  • cuoptopt-agent/skills/gpu-profiling/SKILL.md
  • cuoptopt-agent/skills/mip-algorithms/SKILL.md
  • cuoptopt-agent/skills/nvidia-a100-architecture/SKILL.md
  • cuoptopt-agent/skills/nvidia-a1000-architecture/SKILL.md
  • cuoptopt-agent/skills/nvidia-blackwell-architecture/SKILL.md
  • cuoptopt-agent/skills/nvidia-h100-architecture/SKILL.md
  • cuoptopt-agent/skills/nvidia-l40-architecture/SKILL.md
  • cuoptopt-agent/skills/presolvers/SKILL.md
  • cuoptopt-agent/skills/research-literature/SKILL.md
  • debug_env_check.py
  • skills/cuoptopt-agent/SKILL.md
  • skills/cuoptopt-agent/cuoptopt-agent/SKILL.md
📝 Walkthrough

Walkthrough

Introduces cuoptopt-agent, an autonomous optimization system for NVIDIA cuOpt that automates code improvements via literature search, LLM-driven diff generation, benchmarking, regression analysis, and PR creation. Includes CLI and web-based dashboard interfaces, multi-backend LLM support (Claude, GPT-4o, NVIDIA NIM), skill-based context injection, and comprehensive documentation across architecture guides and algorithm skill modules.

Changes

Cohort / File(s) Summary
Agent Orchestration & Core Logic
cuoptopt-agent/cuoptopt_agent/orchestrator.py, cuoptopt-agent/cuoptopt_agent/implementation.py, cuoptopt-agent/cuoptopt_agent/main.py		 Implements end-to-end optimization workflow: orchestrator manages iteration loop with skill loading, literature search, code generation, benchmarking, and regression checks; implementation module applies LLM-generated diffs with rollback on failure; main provides Typer CLI entry point with model selection and configuration validation.
LLM & Backend Integration
cuoptopt-agent/cuoptopt_agent/models.py		 Unified multi-backend LLM client supporting Anthropic (Claude), OpenAI (GPT-4o), and NVIDIA NIM with configuration-driven model selection, environment-based API key validation, and provider-specific request/response handling.
Git & GitHub Workflow
cuoptopt-agent/cuoptopt_agent/git_utils.py		 Public functions for branch naming (inferred from query keywords), change staging/committing, metrics persistence, and pull request creation via GitHub API; includes repo slug parsing and PR body templating with benchmark results.
Benchmarking & Regression Detection
cuoptopt-agent/cuoptopt_agent/testing.py, benchmarks/a1000_mip_bench.py		 Benchmark runner discovers dataset instances, executes warmup and timed solver runs, computes geometric-mean speed deltas and per-instance quality deltas; a1000 script provides before/after benchmarking for MIP kernel with JSON result comparison and 5% regression threshold.
Research & Literature
cuoptopt-agent/cuoptopt_agent/research.py		 Literature search via Google Scholar and arXiv with threaded parallel execution, deduplication by title, and ranked output; includes formatter for prompt injection.
Skill Discovery & Matching
cuoptopt-agent/cuoptopt_agent/skill_loader.py		 TF-IDF-based skill matcher discovers .md files from cuoptopt-agent/skills and skills directories, ranks by query relevance, and formats results for LLM prompt context.
Dashboard Server & Persistence
cuoptopt-agent/dashboard/server.py, cuoptopt-agent/dashboard/db.py		 FastAPI server with WebSocket-based real-time orchestrator output streaming, session management, REST endpoints for history and branch/metrics listing; SQLite backend for message persistence and session tracking.
Dashboard Client UI
cuoptopt-agent/dashboard/static/app.js, cuoptopt-agent/dashboard/static/index.html, cuoptopt-agent/dashboard/static/style.css		 Single-page app with chat interface, branch explorer, performance visualization via Plotly, WebSocket auto-reconnect, session persistence, and mobile-responsive sidebar.
Configuration & Package Setup
cuoptopt-agent/pyproject.toml, cuoptopt-agent/requirements.txt, cuoptopt-agent/config/models.yaml, cuoptopt-agent/config/thresholds.yaml, cuoptopt-agent/README.md		 Package metadata, dependency declarations, LLM backend configurations, regression thresholds (speed/quality tolerances, max iterations, benchmark controls), and comprehensive agent usage guide.
Skills Documentation
cuoptopt-agent/skills/.../*.md, skills/cuoptopt-agent/.../*.md		 Domain knowledge modules covering GPU profiling, CUDA optimization, MIP algorithms, presolvers, benchmarking methodology, GPU architecture guides (A100, A1000, H100, L40, Blackwell), and research literature patterns; auto-discovered and injected into LLM context.
Setup & Configuration Documentation
.brev/setup.sh, AGENTS.md, CUOPT-OPT-AGENT.md, cuoptopt-agent/cuoptopt_agent/__init__.py, debug_env_check.py		 Deployment setup script with venv creation, LD_PRELOAD management, and .env initialization; documentation updates; package version declaration; diagnostic environment checker.
Kernel Parameter Tuning
cpp/src/mip_heuristics/feasibility_jump/feasibility_jump.cuh		 Reduced block sizes and tuning thresholds for A1000 GPU occupancy and bandwidth management: TPB_heavyvars (256→128), max_sampled_moves (256→64), load_balancing_codepath_min_varcount (3200→800).

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~70 minutes

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nvidiacbrissette commented Mar 15, 2026

Was meant to be on my fork, not here.

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@AyodeAwe AyodeAwe Awaiting requested review from AyodeAwe AyodeAwe is a code owner automatically assigned from NVIDIA/cuopt-ci-codeowners

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