From 34751575dd45b4063c3054b22e8d17fae3f6ea92 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Thu, 14 May 2026 20:43:03 -0700 Subject: [PATCH 01/19] Add OpenRouter-backed runner for the code-review extension Loads `skills/code-review-commons/SKILL.md` and `commands/code-review.toml` unchanged and POSTs them to OpenRouter's chat-completions endpoint with `google/gemini-2.5-pro` (or a configurable model). Matches the GitHub `/gemini review` bot behavior at ~30-60s per round instead of 5-15 minutes, by bypassing the GitHub webhook -> Google job-queue path. Files added: - review.py single-file uv-runnable runner; --base/--pr/--staged modes - pyproject.toml httpx + python-dotenv deps, uv-managed - .env.example OPENROUTER_API_KEY and optional model/header overrides - .gitignore protects .env and uv cache from leaking - README.md documents the fork's mode alongside the upstream extension Upstream skill/command prompts and gemini-extension.json untouched so the fork rebases cleanly against `gemini-cli-extensions/code-review` upstream. Co-Authored-By: Claude Opus 4.7 (1M context) --- .env.example | 14 +++ .gitignore | 21 +++++ README.md | 102 +++++++++++++++----- pyproject.toml | 12 +++ review.py | 248 +++++++++++++++++++++++++++++++++++++++++++++++++ uv.lock | 104 +++++++++++++++++++++ 6 files changed, 479 insertions(+), 22 deletions(-) create mode 100644 .env.example create mode 100644 .gitignore create mode 100644 pyproject.toml create mode 100644 review.py create mode 100644 uv.lock diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..8c4ea0d --- /dev/null +++ b/.env.example @@ -0,0 +1,14 @@ +# Copy to .env (gitignored). The runner reads this from the repo root, not CWD, +# so you configure it once here and invoke `review.py` from any project directory. + +# Required: OpenRouter API key. https://openrouter.ai/keys +OPENROUTER_API_KEY= + +# Optional: override the default model. The runner defaults to +# google/gemini-2.5-pro to match the Gemini Code Assist GitHub bot. Drop to +# google/gemini-2.5-flash for ~3x faster reviews with some quality loss. +# OPENROUTER_MODEL=google/gemini-2.5-pro + +# Optional: identifying headers OpenRouter surfaces in its dashboard. +# OPENROUTER_HTTP_REFERER=https://github.com/Airwhale/code-review +# OPENROUTER_X_TITLE=OpenRouter Code Review diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..a4207f1 --- /dev/null +++ b/.gitignore @@ -0,0 +1,21 @@ +# Local env / secrets — never commit. +.env +.env.* +!.env.example + +# Python / uv +__pycache__/ +*.pyc +.venv/ +.pytest_cache/ +*.egg-info/ + +# Editor +.vscode/ +.idea/ +*.swp +*.swo + +# OS +.DS_Store +Thumbs.db diff --git a/README.md b/README.md index d5389bc..013e58d 100644 --- a/README.md +++ b/README.md @@ -1,41 +1,99 @@ -# Gemini CLI Code Review Extension +# Gemini CLI Code Review Extension — OpenRouter fork -The Code Review extension is an open-source Gemini CLI extension, built to enhance your repository's code quality. The extension adds a new command to Gemini CLI that analyzes code changes to identify a variety of code quality issues. +This is an Airwhale fork of [`gemini-cli-extensions/code-review`](https://github.com/gemini-cli-extensions/code-review). The upstream extension targets Google's `gemini-cli` host and is licensed Apache-2.0. -This extension is brought to you by the authors of the [Gemini Code Assist GitHub App](https://github.com/apps/gemini-code-assist), which provides code reviews directly in your GitHub pull requests. +**What this fork adds:** a thin Python runner (`review.py`) that loads the upstream `skills/code-review-commons/SKILL.md` and `commands/code-review.toml` prompts unchanged and POSTs them to OpenRouter with a Gemini model. That gives the same review behavior as the GitHub `/gemini review` bot at ~30–60s per round instead of 5–15 minutes, because the request bypasses GitHub's webhook → Google job queue. -## Installation +The upstream skill/command files are kept verbatim so future upstream improvements rebase cleanly. All OpenRouter-specific code lives in `review.py`, `pyproject.toml`, `.env.example`, and `.gitignore`. -Install the Code Review extension by running the following command from your terminal *(requires Gemini CLI v0.4.0 or newer)*: +## Quick start ```bash -gemini extensions install https://github.com/gemini-cli-extensions/code-review +# One-time: configure the runner +cd code-review +cp .env.example .env +# edit .env to set OPENROUTER_API_KEY=sk-or-... + +# Review the current branch in any project (uses merge-base against origin/HEAD): +cd /path/to/my-project +uv run --project /path/to/code-review /path/to/code-review/review.py + +# Or, more ergonomically, from the code-review dir against another repo: +cd /path/to/code-review +uv run review.py --pr 6 # reviews PR #6 of whichever repo CWD points at +``` + +`uv` resolves the deps (`httpx`, `python-dotenv`) on first run. No global pip install. + +## Modes + +| Flag | What it diffs | +|---|---| +| *(none)* | Current branch vs `origin/HEAD` merge-base — matches the upstream `gemini-cli` `/code-review` shape | +| `--base main` | Current branch vs an explicit base ref | +| `--pr ` | Pulls a GitHub PR diff via `gh pr diff` (requires `gh auth login`) | +| `--staged` | Staged changes only — good for pre-commit reviews | + +`--model google/gemini-2.5-flash` swaps to the faster model (~10–20s) with some quality loss. Default is `google/gemini-2.5-pro` to match what the GitHub bot serves. + +## Output format + +Markdown, structured per the upstream `commands/code-review.toml` template: + +``` +# Change summary: [one-sentence description] + +## File: path/to/file.py +### L: [CRITICAL|HIGH|MEDIUM|LOW] One-sentence issue summary +More detail about the issue. + +Suggested change: +``` + - removed line + + replacement line +``` ``` -If you do not yet have Gemini CLI installed, or if the installed version is older than 0.4.0, see -[Gemini CLI installation instructions](https://github.com/google-gemini/gemini-cli?tab=readme-ov-file#-installation). +When the diff is clean, you get a single line: `No issues found. Code looks clean and ready to merge.` -## Use the extension +## Why this exists -### Reviewing code changes +The GitHub Gemini Code Assist bot's wall-time latency (webhook → job queue) makes iterative cycles painful when you want a code review every few commits. Running the same prompts locally via OpenRouter cuts the loop to seconds and works offline from GitHub. The Apache-2.0 license on the upstream extension permits this kind of derivative work. -The Code Review extension adds the `/code-review` command to Gemini CLI which analyzes code changes on your current branch for quality issues. +## Upstream sync -### Reviewing a pull request +When upstream ships changes to the skill/command prompts: -The Code Review extension adds the `/pr-code-review` command to Gemini CLI which analyzes code changes on your pull request for quality issues. +```bash +git fetch upstream +git checkout main && git merge upstream/main # updates the prompts +git checkout openrouter && git rebase main # rebases the runner +``` + +Because the runner doesn't touch `skills/` or `commands/`, conflicts are unlikely. + +--- + +## Original upstream README + +The Code Review extension is an open-source Gemini CLI extension, built to enhance your repository's code quality. The extension adds a new command to Gemini CLI that analyzes code changes to identify a variety of code quality issues. + +This extension is brought to you by the authors of the [Gemini Code Assist GitHub App](https://github.com/apps/gemini-code-assist), which provides code reviews directly in your GitHub pull requests. + +### Installation (upstream CLI mode) + +Install the Code Review extension by running the following command from your terminal *(requires Gemini CLI v0.4.0 or newer)*: + +```bash +gemini extensions install https://github.com/Airwhale/code-review +``` -To use this extension for a pull request, you need to [enable](https://github.com/google-gemini/gemini-cli/blob/main/docs/tools/mcp-server.md) the [github mcp server](https://github.com/github/github-mcp-server), and provide pull request information. You can either provide through `/pr-code-review link/to/pull/request` or by [configuring](https://github.com/google-gemini/gemini-cli/blob/main/docs/reference/configuration.md#environment-variables-and-env-files) the following environment variables: -- `REPOSITORY`: The github repository which contains the pull request. -- `PULL_REQUEST_NUMBER`: The pull request number that need the code review. -- `ADDITIONAL_CONTEXT`: Additional context or specific area that should focus on. +If you do not yet have Gemini CLI installed, or if the installed version is older than 0.4.0, see [Gemini CLI installation instructions](https://github.com/google-gemini/gemini-cli?tab=readme-ov-file#-installation). -## Resources +### Use the extension (upstream CLI mode) -- [Gemini CLI extensions](https://github.com/google-gemini/gemini-cli/blob/main/docs/extensions/index.md): Documentation about using extensions in Gemini CLI -- [Blog post](https://blog.google/technology/developers/gemini-cli-extensions/): Announcement of Gemini CLI Extensions -- [GitHub issues](https://github.com/gemini-cli-extensions/code-review/issues): Report bugs or request features +The Code Review extension adds the `/code-review` command to Gemini CLI which analyzes code changes on your current branch for quality issues. See the [upstream docs](https://github.com/gemini-cli-extensions/code-review) for `/pr-code-review` and MCP setup. ## Legal -- License: [Apache License 2.0](https://github.com/gemini-cli-extensions/code-review/blob/main/LICENSE) +- License: [Apache License 2.0](./LICENSE) (inherited from upstream) diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..7753351 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,12 @@ +[project] +name = "code-review-openrouter" +version = "0.1.0" +description = "OpenRouter-backed code review using the Gemini CLI code-review extension prompts." +requires-python = ">=3.11" +dependencies = [ + "httpx>=0.27", + "python-dotenv>=1.0", +] + +[tool.uv] +package = false diff --git a/review.py b/review.py new file mode 100644 index 0000000..5cfdbb6 --- /dev/null +++ b/review.py @@ -0,0 +1,248 @@ +#!/usr/bin/env python3 +"""OpenRouter-backed code review using the Gemini CLI code-review extension prompts. + +This fork keeps the upstream `skills/code-review-commons/SKILL.md` and +`commands/code-review.toml` prompts intact (Apache-2.0, unmodified) and adds a +thin Python runner that POSTs them to OpenRouter's chat-completions endpoint +with a Gemini model. The behavior matches the GitHub `/gemini review` bot +because we send the same system prompt, the same user prompt, and the same +underlying model -- just without the GitHub webhook -> Google job queue +round-trip that adds 5-15 minutes of wall time. + +Usage: + uv run review.py # diff current branch vs origin/HEAD merge-base + uv run review.py --base main # diff vs an explicit base + uv run review.py --pr 6 # review a GitHub PR (uses `gh pr diff`) + uv run review.py --staged # review staged changes only + uv run review.py --model google/gemini-2.5-flash + +The .env loaded from this script's directory (not CWD) -- copy `.env.example` +to `.env` once and invoke from any project folder. Set `OPENROUTER_API_KEY`. +""" + +from __future__ import annotations + +import argparse +import os +import subprocess +import sys +import tomllib +from pathlib import Path + +import httpx +from dotenv import load_dotenv + +ROOT = Path(__file__).parent.resolve() +DEFAULT_MODEL = "google/gemini-2.5-pro" +OPENROUTER_URL = "https://openrouter.ai/api/v1/chat/completions" +HTTP_TIMEOUT = 300.0 # Gemini 2.5 Pro on a ~5K-line diff lands ~30-60s; pad + # generously for very large diffs. + +# Upstream `code-review.toml` instructs the model to *call* git itself via a +# tool. We have no tool layer; instead we extract the diff up front and +# substitute it into the prompt. This is the literal sentence from +# `commands/code-review.toml`; if upstream rewords it the substitution silently +# no-ops and the script still works (the diff still ends up appended below). +TOOL_CALL_INSTRUCTION = ( + "**Code Changes**: call the `git diff -U5 --merge-base origin/HEAD` " + "tool to retrieve the changes." +) + + +def load_skill() -> str: + """Return the full `code-review-commons` SKILL.md content (with YAML + frontmatter). The model treats the markdown as a system prompt; including + the frontmatter is harmless and preserves the exact upstream behavior. + """ + path = ROOT / "skills" / "code-review-commons" / "SKILL.md" + return path.read_text(encoding="utf-8") + + +def load_command_prompt(name: str) -> str: + """Load `commands/.toml` and return the `prompt` field verbatim.""" + path = ROOT / "commands" / f"{name}.toml" + data = tomllib.loads(path.read_text(encoding="utf-8")) + return data["prompt"] + + +def _run_git(args: list[str]) -> str: + """Run a git command in the current working directory and return stdout. + Surfaces non-zero exits with the command and stderr so the user sees why. + """ + try: + result = subprocess.run( + args, capture_output=True, text=True, check=True + ) + except subprocess.CalledProcessError as exc: + sys.stderr.write( + f"ERROR: `{' '.join(args)}` failed (exit {exc.returncode})\n" + f"{exc.stderr.strip()}\n" + ) + sys.exit(exc.returncode) + return result.stdout + + +def git_diff_local(base: str | None, staged: bool) -> str: + """Produce a unified diff matching the upstream `git diff -U5 + --merge-base origin/HEAD` shape so the model sees what the GitHub bot + would see. + """ + if staged: + return _run_git(["git", "diff", "--cached", "-U5"]) + if base: + return _run_git(["git", "diff", "-U5", f"{base}...HEAD"]) + return _run_git(["git", "diff", "-U5", "--merge-base", "origin/HEAD"]) + + +def pr_diff(pr_number: int) -> str: + """Pull a PR's diff via `gh`. Requires `gh auth login` to have run.""" + try: + result = subprocess.run( + ["gh", "pr", "diff", str(pr_number), "--patch"], + capture_output=True, text=True, check=True, + ) + except FileNotFoundError: + sys.stderr.write( + "ERROR: `gh` not found on PATH. Install GitHub CLI to use --pr.\n" + ) + sys.exit(2) + except subprocess.CalledProcessError as exc: + sys.stderr.write( + f"ERROR: `gh pr diff {pr_number}` failed (exit {exc.returncode})\n" + f"{exc.stderr.strip()}\n" + ) + sys.exit(exc.returncode) + return result.stdout + + +def call_openrouter( + *, + diff: str, + model: str, + api_key: str, + referer: str, + title: str, +) -> str: + """POST to OpenRouter's chat-completions endpoint and return the review + markdown. Raises on transport or HTTP errors so the caller surfaces them. + """ + system_prompt = load_skill() + user_template = load_command_prompt("code-review") + diff_block = f"**Code Changes**:\n\n```diff\n{diff}\n```" + user_prompt = user_template.replace(TOOL_CALL_INSTRUCTION, diff_block) + # Defensive: if upstream rewords the tool-call sentence and our literal + # substitution missed, append the diff anyway so the model still has it. + if diff_block not in user_prompt: + user_prompt = f"{user_prompt}\n\n{diff_block}" + + payload = { + "model": model, + "messages": [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_prompt}, + ], + # The upstream prompt is highly structured; we want minimal sampling + # noise so suggested-change blocks come back as exact diffs. + "temperature": 0.2, + } + headers = { + "Authorization": f"Bearer {api_key}", + "Content-Type": "application/json", + # OpenRouter surfaces these in its dashboard for attribution; they + # also help the platform-side routing decide which provider tier to + # use. Harmless if absent but recommended. + "HTTP-Referer": referer, + "X-Title": title, + } + + with httpx.Client(timeout=HTTP_TIMEOUT) as client: + response = client.post(OPENROUTER_URL, headers=headers, json=payload) + if response.status_code >= 400: + sys.stderr.write( + f"ERROR: OpenRouter returned HTTP {response.status_code}\n" + f"{response.text}\n" + ) + sys.exit(1) + data = response.json() + + try: + return data["choices"][0]["message"]["content"] + except (KeyError, IndexError) as exc: + sys.stderr.write( + f"ERROR: unexpected OpenRouter response shape ({exc}):\n{data}\n" + ) + sys.exit(1) + + +def main() -> None: + # Load env from this script's directory so `.env` is configured once at + # the runner location rather than in every project we review from. + load_dotenv(ROOT / ".env") + + parser = argparse.ArgumentParser( + description=( + "OpenRouter-backed code review using the Gemini CLI code-review " + "extension prompts." + ) + ) + source = parser.add_mutually_exclusive_group() + source.add_argument( + "--base", + help="Base ref to diff against (e.g. main, origin/main).", + ) + source.add_argument( + "--pr", + type=int, + help="GitHub PR number to review (uses `gh pr diff`).", + ) + source.add_argument( + "--staged", + action="store_true", + help="Review staged changes only.", + ) + parser.add_argument( + "--model", + default=os.getenv("OPENROUTER_MODEL", DEFAULT_MODEL), + help=( + "OpenRouter model slug. Defaults to $OPENROUTER_MODEL or " + f"`{DEFAULT_MODEL}`. `google/gemini-2.5-flash` is ~3x faster." + ), + ) + args = parser.parse_args() + + api_key = os.getenv("OPENROUTER_API_KEY") + if not api_key: + sys.stderr.write( + "ERROR: OPENROUTER_API_KEY not set. Copy .env.example to .env " + f"at {ROOT} and fill in your key.\n" + ) + sys.exit(2) + + if args.pr: + diff = pr_diff(args.pr) + else: + diff = git_diff_local(args.base, args.staged) + + if not diff.strip(): + sys.stderr.write("No diff found. Nothing to review.\n") + sys.exit(0) + + sys.stderr.write( + f"Reviewing {len(diff):,}-char diff with `{args.model}`...\n" + ) + referer = os.getenv( + "OPENROUTER_HTTP_REFERER", "https://github.com/Airwhale/code-review" + ) + title = os.getenv("OPENROUTER_X_TITLE", "OpenRouter Code Review") + output = call_openrouter( + diff=diff, + model=args.model, + api_key=api_key, + referer=referer, + title=title, + ) + print(output) + + +if __name__ == "__main__": + main() diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..1113e65 --- /dev/null +++ b/uv.lock @@ -0,0 +1,104 @@ +version = 1 +revision = 3 +requires-python = ">=3.11" + +[[package]] +name = "anyio" +version = "4.13.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "idna" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, +] +sdist = { url = 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"2025-08-25T13:49:24.86Z" }, +] From c3f7f6199e74028d780fbf1e2f40c8e764bf42cd Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Thu, 14 May 2026 21:48:40 -0700 Subject: [PATCH 02/19] Add Gemini API direct provider; document fork changes in README Adds a second transport path for the runner: `--provider gemini` calls Google AI Studio's `generateContent` endpoint directly using `GEMINI_API_KEY`, alongside the existing `--provider openrouter` path (default, uses `OPENROUTER_API_KEY`). Both paths send the same upstream skill + command prompts and the same `gemini-2.5-pro` model by default, so review behavior is materially equivalent -- callers pick whichever key / billing relationship they already have. Model defaults differ by provider because OpenRouter prefixes vendor names (`google/gemini-2.5-pro`) while the Gemini API takes the bare name (`gemini-2.5-pro`). Per-provider env-var overrides (`OPENROUTER_MODEL`, `GEMINI_MODEL`) and an explicit `--model` flag remain available. README rewritten to make the fork's modifications obvious up front: the table at the top calls out each new/modified file, the provider table documents the trade-offs (including the free-tier `gemini-2.5-pro` quota gotcha), and the upstream CLI install command now correctly points at `gemini-cli-extensions/code-review` rather than this fork. Smoke-tested both paths end-to-end against this repo's own diff. Co-Authored-By: Claude Opus 4.7 (1M context) --- .env.example | 25 ++++-- README.md | 87 +++++++++++++----- review.py | 243 ++++++++++++++++++++++++++++++++++++++++----------- 3 files changed, 281 insertions(+), 74 deletions(-) diff --git a/.env.example b/.env.example index 8c4ea0d..44bba2e 100644 --- a/.env.example +++ b/.env.example @@ -1,14 +1,29 @@ # Copy to .env (gitignored). The runner reads this from the repo root, not CWD, -# so you configure it once here and invoke `review.py` from any project directory. +# so you configure it once here and invoke `review.py` from any project +# directory. You only need to set the key for whichever provider you actually +# use; the runner fails fast with a clear message if the key for the selected +# provider is missing. -# Required: OpenRouter API key. https://openrouter.ai/keys +# --- Provider selection (default: openrouter) ------------------------------- +# Per-run override: `review.py --provider gemini` +# CODE_REVIEW_PROVIDER=openrouter + +# --- OpenRouter -------------------------------------------------------------- +# Required when --provider openrouter (the default). https://openrouter.ai/keys OPENROUTER_API_KEY= -# Optional: override the default model. The runner defaults to -# google/gemini-2.5-pro to match the Gemini Code Assist GitHub bot. Drop to -# google/gemini-2.5-flash for ~3x faster reviews with some quality loss. +# Optional: default model when --provider openrouter is selected. OpenRouter +# prefixes vendor names. `google/gemini-2.5-flash` is ~3x faster than pro. # OPENROUTER_MODEL=google/gemini-2.5-pro # Optional: identifying headers OpenRouter surfaces in its dashboard. # OPENROUTER_HTTP_REFERER=https://github.com/Airwhale/code-review # OPENROUTER_X_TITLE=OpenRouter Code Review + +# --- Gemini API (Google AI Studio) ------------------------------------------- +# Required when --provider gemini. https://aistudio.google.com/apikey +GEMINI_API_KEY= + +# Optional: default model when --provider gemini is selected. The Gemini API +# takes the bare model name (no `google/` prefix). +# GEMINI_MODEL=gemini-2.5-pro diff --git a/README.md b/README.md index 013e58d..333ed0b 100644 --- a/README.md +++ b/README.md @@ -1,40 +1,83 @@ -# Gemini CLI Code Review Extension — OpenRouter fork +# Gemini CLI Code Review Extension — Airwhale fork -This is an Airwhale fork of [`gemini-cli-extensions/code-review`](https://github.com/gemini-cli-extensions/code-review). The upstream extension targets Google's `gemini-cli` host and is licensed Apache-2.0. +> Fork of [`gemini-cli-extensions/code-review`](https://github.com/gemini-cli-extensions/code-review) (Apache-2.0). The upstream extension is a `gemini-cli` plugin; this fork adds a **standalone Python runner** that calls the same prompts directly via either **OpenRouter** or the **Gemini API**, no `gemini-cli` host required. +> +> Why: the GitHub Gemini Code Assist bot's webhook → job-queue round-trip adds 5–15 minutes per review round. The runner cuts that to ~30–60 seconds. -**What this fork adds:** a thin Python runner (`review.py`) that loads the upstream `skills/code-review-commons/SKILL.md` and `commands/code-review.toml` prompts unchanged and POSTs them to OpenRouter with a Gemini model. That gives the same review behavior as the GitHub `/gemini review` bot at ~30–60s per round instead of 5–15 minutes, because the request bypasses GitHub's webhook → Google job queue. +## What this fork adds vs upstream -The upstream skill/command files are kept verbatim so future upstream improvements rebase cleanly. All OpenRouter-specific code lives in `review.py`, `pyproject.toml`, `.env.example`, and `.gitignore`. +| File | New / modified | Purpose | +|---|---|---| +| `review.py` | **new** | Standalone runner. Loads the upstream skill + command prompts unchanged and POSTs them to either OpenRouter or the Gemini API. | +| `pyproject.toml` | **new** | `uv`-managed deps (`httpx`, `python-dotenv`). | +| `.env.example` | **new** | Documents `OPENROUTER_API_KEY`, `GEMINI_API_KEY`, and optional model / provider overrides. | +| `.gitignore` | **new** | Protects `.env` and the `uv` virtualenv from leaking. | +| `README.md` | **modified** | This file — documents the fork's runner alongside the upstream CLI mode. | +| `skills/code-review-commons/SKILL.md` | unchanged | Upstream system prompt (loaded verbatim). | +| `commands/code-review.toml` | unchanged | Upstream user-prompt template (loaded verbatim). | +| `commands/pr-code-review.toml` | unchanged | Upstream PR-review command (not used by the runner). | +| `gemini-extension.json`, `GEMINI.md`, `LICENSE` | unchanged | Upstream metadata. | + +The fork keeps the upstream skill / command files **byte-for-byte identical** so upstream improvements rebase cleanly: + +```bash +git fetch upstream +git checkout main && git merge upstream/main # picks up upstream prompt changes +``` ## Quick start ```bash -# One-time: configure the runner +# One-time: clone and configure +git clone https://github.com/Airwhale/code-review cd code-review cp .env.example .env -# edit .env to set OPENROUTER_API_KEY=sk-or-... +# edit .env: set OPENROUTER_API_KEY=... or GEMINI_API_KEY=... (or both) -# Review the current branch in any project (uses merge-base against origin/HEAD): +# Review the current branch of whatever project you're in: cd /path/to/my-project uv run --project /path/to/code-review /path/to/code-review/review.py -# Or, more ergonomically, from the code-review dir against another repo: +# Or invoke from the runner directory against an external CWD: cd /path/to/code-review -uv run review.py --pr 6 # reviews PR #6 of whichever repo CWD points at +uv run review.py --pr 6 ``` -`uv` resolves the deps (`httpx`, `python-dotenv`) on first run. No global pip install. +`uv` resolves deps on first run. No global `pip install` required. + +## Provider selection + +The runner supports two transport paths to the same `gemini-2.5-pro` model: + +```bash +uv run review.py # default: openrouter +uv run review.py --provider openrouter # explicit +uv run review.py --provider gemini # direct Gemini API +``` + +| Provider | Endpoint | Required env var | Default model | Notes | +|---|---|---|---|---| +| `openrouter` (default) | `openrouter.ai/api/v1/chat/completions` | `OPENROUTER_API_KEY` | `google/gemini-2.5-pro` | OpenAI-compatible chat-completions wire format. One bill for many providers. | +| `gemini` | `generativelanguage.googleapis.com/v1beta/models/...` | `GEMINI_API_KEY` | `gemini-2.5-pro` | Google AI Studio's `generateContent` endpoint. Slightly lower latency (one less hop). | + +**Known gotcha for the Gemini API path:** the free tier has zero per-day quota for `gemini-2.5-pro` as of the time of writing. You'll see HTTP 429 immediately. Workarounds: + +1. `--model gemini-2.5-flash` — the free tier does allow flash, and it's ~3× faster anyway. Quality drops a bit but the review structure is still solid. +2. Upgrade to a paid Google AI Studio plan if you want pro via the direct API. +3. Use `--provider openrouter` — OpenRouter has its own pro quota and bills you directly. + +Set a default per-environment via `$CODE_REVIEW_PROVIDER=gemini` in your `.env` so you don't have to pass `--provider` every invocation. ## Modes | Flag | What it diffs | |---|---| | *(none)* | Current branch vs `origin/HEAD` merge-base — matches the upstream `gemini-cli` `/code-review` shape | -| `--base main` | Current branch vs an explicit base ref | +| `--base main` | Current branch vs an explicit base ref (**includes uncommitted changes**, so iterative-review loops work without committing each pass) | | `--pr ` | Pulls a GitHub PR diff via `gh pr diff` (requires `gh auth login`) | | `--staged` | Staged changes only — good for pre-commit reviews | -`--model google/gemini-2.5-flash` swaps to the faster model (~10–20s) with some quality loss. Default is `google/gemini-2.5-pro` to match what the GitHub bot serves. +`--model ` overrides the default model. Use `google/gemini-2.5-flash` (OpenRouter) or `gemini-2.5-flash` (Gemini API) for ~3× faster reviews with some quality loss. ## Output format @@ -48,26 +91,29 @@ Markdown, structured per the upstream `commands/code-review.toml` template: More detail about the issue. Suggested change: -``` +```diff - removed line + replacement line ``` ``` -When the diff is clean, you get a single line: `No issues found. Code looks clean and ready to merge.` +When the diff is clean: `No issues found. Code looks clean and ready to merge.` ## Why this exists -The GitHub Gemini Code Assist bot's wall-time latency (webhook → job queue) makes iterative cycles painful when you want a code review every few commits. Running the same prompts locally via OpenRouter cuts the loop to seconds and works offline from GitHub. The Apache-2.0 license on the upstream extension permits this kind of derivative work. +The GitHub Gemini Code Assist bot is excellent at finding real concurrency, security, and correctness bugs — but it lives behind a GitHub webhook that calls a Google job queue, and the wall-time latency makes iterative cycles painful when you want a review every few commits. Running the same prompts locally via OpenRouter or the Gemini API cuts the loop from minutes to seconds and works offline from GitHub. + +In practice this turns the workflow from "push → wait → fix → repeat" into "stage → review locally → fix → stage → review locally → commit when clean," with the GitHub bot reserved as a final-mile verification pass instead of an iteration partner. The Apache-2.0 license on the upstream extension permits this kind of derivative work. + +A 10-iteration test against a ~5K-line PR caught 3 HIGH-severity correctness bugs (infinite session-creation loop, header-overwrite latent bug, Map-collision UX bug) plus several MEDIUM-severity defensive-coding issues — all in ~10 minutes wall-time. The same review through the GitHub bot would have taken ~50 minutes for the equivalent rounds. ## Upstream sync -When upstream ships changes to the skill/command prompts: +When upstream ships changes to the skill or command prompts: ```bash git fetch upstream -git checkout main && git merge upstream/main # updates the prompts -git checkout openrouter && git rebase main # rebases the runner +git checkout main && git merge upstream/main ``` Because the runner doesn't touch `skills/` or `commands/`, conflicts are unlikely. @@ -82,10 +128,10 @@ This extension is brought to you by the authors of the [Gemini Code Assist GitHu ### Installation (upstream CLI mode) -Install the Code Review extension by running the following command from your terminal *(requires Gemini CLI v0.4.0 or newer)*: +If you want to install the upstream extension into `gemini-cli` (separate from the standalone runner this fork ships), point at the **upstream repository**, not this fork: ```bash -gemini extensions install https://github.com/Airwhale/code-review +gemini extensions install https://github.com/gemini-cli-extensions/code-review ``` If you do not yet have Gemini CLI installed, or if the installed version is older than 0.4.0, see [Gemini CLI installation instructions](https://github.com/google-gemini/gemini-cli?tab=readme-ov-file#-installation). @@ -97,3 +143,4 @@ The Code Review extension adds the `/code-review` command to Gemini CLI which an ## Legal - License: [Apache License 2.0](./LICENSE) (inherited from upstream) +- Upstream: diff --git a/review.py b/review.py index 5cfdbb6..a2070a8 100644 --- a/review.py +++ b/review.py @@ -1,23 +1,41 @@ #!/usr/bin/env python3 -"""OpenRouter-backed code review using the Gemini CLI code-review extension prompts. +"""Standalone code-review runner for the Gemini CLI code-review extension. This fork keeps the upstream `skills/code-review-commons/SKILL.md` and `commands/code-review.toml` prompts intact (Apache-2.0, unmodified) and adds a -thin Python runner that POSTs them to OpenRouter's chat-completions endpoint -with a Gemini model. The behavior matches the GitHub `/gemini review` bot -because we send the same system prompt, the same user prompt, and the same -underlying model -- just without the GitHub webhook -> Google job queue -round-trip that adds 5-15 minutes of wall time. +thin Python runner that sends them to a Gemini model via one of two providers +selectable at the command line: + + --provider openrouter (default) + POSTs to OpenRouter's OpenAI-compatible chat-completions endpoint + (https://openrouter.ai/api/v1/chat/completions). Requires + `OPENROUTER_API_KEY`. Good if you already have an OpenRouter account or + want one bill across multiple providers. + + --provider gemini + POSTs to Google AI Studio's `generateContent` endpoint directly + (https://generativelanguage.googleapis.com/v1beta/models/...). Requires + `GEMINI_API_KEY`. Slightly lower latency (one less hop) and uses the + same key the GitHub bot uses on the backend. + +Both paths send the same system + user prompts (loaded verbatim from the +upstream skill / command files) and the same `gemini-2.5-pro` model by +default, so the review output is materially equivalent. The behavior matches +the GitHub `/gemini review` bot, just without the GitHub webhook -> Google +job-queue round-trip that adds 5-15 minutes of wall time. Usage: - uv run review.py # diff current branch vs origin/HEAD merge-base - uv run review.py --base main # diff vs an explicit base - uv run review.py --pr 6 # review a GitHub PR (uses `gh pr diff`) - uv run review.py --staged # review staged changes only - uv run review.py --model google/gemini-2.5-flash + uv run review.py # diff current branch vs origin/HEAD merge-base + uv run review.py --base main # diff vs an explicit base ref + uv run review.py --pr 6 # review a GitHub PR (uses `gh pr diff`) + uv run review.py --staged # staged changes only + uv run review.py --provider gemini # use Gemini API directly + uv run review.py --model gemini-2.5-flash # faster, somewhat lower quality The .env loaded from this script's directory (not CWD) -- copy `.env.example` -to `.env` once and invoke from any project folder. Set `OPENROUTER_API_KEY`. +to `.env` once at the runner location and invoke from any project folder. +Set whichever of `OPENROUTER_API_KEY` / `GEMINI_API_KEY` your chosen provider +needs. """ from __future__ import annotations @@ -33,16 +51,30 @@ from dotenv import load_dotenv ROOT = Path(__file__).parent.resolve() -DEFAULT_MODEL = "google/gemini-2.5-pro" + +# Provider configuration. The default model slug differs by provider because +# OpenRouter prefixes vendor names (``google/...``) while the Gemini API +# accepts the bare model name. Override per-call with ``--model``. +PROVIDERS = ("openrouter", "gemini") +DEFAULT_MODEL_BY_PROVIDER: dict[str, str] = { + "openrouter": "google/gemini-2.5-pro", + "gemini": "gemini-2.5-pro", +} +DEFAULT_PROVIDER = "openrouter" + OPENROUTER_URL = "https://openrouter.ai/api/v1/chat/completions" +GEMINI_URL_TEMPLATE = ( + "https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent" +) HTTP_TIMEOUT = 300.0 # Gemini 2.5 Pro on a ~5K-line diff lands ~30-60s; pad # generously for very large diffs. # Upstream `code-review.toml` instructs the model to *call* git itself via a # tool. We have no tool layer; instead we extract the diff up front and # substitute it into the prompt. This is the literal sentence from -# `commands/code-review.toml`; if upstream rewords it the substitution silently -# no-ops and the script still works (the diff still ends up appended below). +# `commands/code-review.toml`; if upstream rewords it the substitution +# silently no-ops and the script still works (the diff is also appended +# unconditionally if the substitution missed). TOOL_CALL_INSTRUCTION = ( "**Code Changes**: call the `git diff -U5 --merge-base origin/HEAD` " "tool to retrieve the changes." @@ -65,6 +97,22 @@ def load_command_prompt(name: str) -> str: return data["prompt"] +def build_prompts(diff: str) -> tuple[str, str]: + """Construct ``(system_prompt, user_prompt)`` from the upstream skill / + command files, with the diff substituted into the tool-call placeholder. + Same pair is used regardless of provider so review behavior matches. + """ + system_prompt = load_skill() + user_template = load_command_prompt("code-review") + diff_block = f"**Code Changes**:\n\n```diff\n{diff}\n```" + user_prompt = user_template.replace(TOOL_CALL_INSTRUCTION, diff_block) + # Defensive: if upstream rewords the tool-call sentence and our literal + # substitution missed, append the diff so the model still has it. + if diff_block not in user_prompt: + user_prompt = f"{user_prompt}\n\n{diff_block}" + return system_prompt, user_prompt + + def _run_git(args: list[str]) -> str: """Run a git command in the current working directory and return stdout. Surfaces non-zero exits with the command and stderr so the user sees why. @@ -86,11 +134,18 @@ def git_diff_local(base: str | None, staged: bool) -> str: """Produce a unified diff matching the upstream `git diff -U5 --merge-base origin/HEAD` shape so the model sees what the GitHub bot would see. + + Working-tree changes are included by default. The iterative-review use + case (run, fix, re-run before committing) breaks if we restrict to + ``base...HEAD`` because uncommitted fixes are invisible and the model + re-flags the same issues forever. ``git diff `` (two-dot; + merge-base..working-tree) covers committed + staged + unstaged in one + pass, which is what "review everything I'm proposing to ship" means. """ if staged: return _run_git(["git", "diff", "--cached", "-U5"]) if base: - return _run_git(["git", "diff", "-U5", f"{base}...HEAD"]) + return _run_git(["git", "diff", "-U5", base]) return _run_git(["git", "diff", "-U5", "--merge-base", "origin/HEAD"]) @@ -126,15 +181,7 @@ def call_openrouter( """POST to OpenRouter's chat-completions endpoint and return the review markdown. Raises on transport or HTTP errors so the caller surfaces them. """ - system_prompt = load_skill() - user_template = load_command_prompt("code-review") - diff_block = f"**Code Changes**:\n\n```diff\n{diff}\n```" - user_prompt = user_template.replace(TOOL_CALL_INSTRUCTION, diff_block) - # Defensive: if upstream rewords the tool-call sentence and our literal - # substitution missed, append the diff anyway so the model still has it. - if diff_block not in user_prompt: - user_prompt = f"{user_prompt}\n\n{diff_block}" - + system_prompt, user_prompt = build_prompts(diff) payload = { "model": model, "messages": [ @@ -174,6 +221,59 @@ def call_openrouter( sys.exit(1) +def call_gemini( + *, + diff: str, + model: str, + api_key: str, +) -> str: + """POST to Google AI Studio's ``generateContent`` endpoint directly. + Returns the review markdown. The request shape is camelCase and uses a + ``systemInstruction`` field rather than a system-role message. + """ + system_prompt, user_prompt = build_prompts(diff) + payload = { + "contents": [ + {"role": "user", "parts": [{"text": user_prompt}]}, + ], + "systemInstruction": {"parts": [{"text": system_prompt}]}, + "generationConfig": { + "temperature": 0.2, + }, + } + headers = { + "Content-Type": "application/json", + # ``x-goog-api-key`` is the documented auth header for the v1beta + # generative-language API. Passing the key as a query string also + # works but leaks it into shell history / proxy logs more readily. + "x-goog-api-key": api_key, + } + url = GEMINI_URL_TEMPLATE.format(model=model) + + with httpx.Client(timeout=HTTP_TIMEOUT) as client: + response = client.post(url, headers=headers, json=payload) + if response.status_code >= 400: + sys.stderr.write( + f"ERROR: Gemini API returned HTTP {response.status_code}\n" + f"{response.text}\n" + ) + sys.exit(1) + data = response.json() + + try: + # The generateContent response wraps the model output in + # candidates[0].content.parts[]; concatenate parts in case the + # model returned multiple text parts (rare for code review but + # documented as possible). + parts = data["candidates"][0]["content"]["parts"] + return "".join(part.get("text", "") for part in parts) + except (KeyError, IndexError) as exc: + sys.stderr.write( + f"ERROR: unexpected Gemini response shape ({exc}):\n{data}\n" + ) + sys.exit(1) + + def main() -> None: # Load env from this script's directory so `.env` is configured once at # the runner location rather than in every project we review from. @@ -181,8 +281,9 @@ def main() -> None: parser = argparse.ArgumentParser( description=( - "OpenRouter-backed code review using the Gemini CLI code-review " - "extension prompts." + "Standalone code-review runner using the Gemini CLI " + "code-review extension prompts. Sends them to a Gemini model " + "via OpenRouter or the Gemini API directly." ) ) source = parser.add_mutually_exclusive_group() @@ -200,23 +301,61 @@ def main() -> None: action="store_true", help="Review staged changes only.", ) + parser.add_argument( + "--provider", + choices=PROVIDERS, + default=os.getenv("CODE_REVIEW_PROVIDER", DEFAULT_PROVIDER), + help=( + "Which API to call. ``openrouter`` (default) goes through " + "OpenRouter's chat-completions endpoint and needs " + "``OPENROUTER_API_KEY``. ``gemini`` calls Google AI Studio's " + "generateContent endpoint directly and needs ``GEMINI_API_KEY``. " + "Override with $CODE_REVIEW_PROVIDER." + ), + ) parser.add_argument( "--model", - default=os.getenv("OPENROUTER_MODEL", DEFAULT_MODEL), + default=None, help=( - "OpenRouter model slug. Defaults to $OPENROUTER_MODEL or " - f"`{DEFAULT_MODEL}`. `google/gemini-2.5-flash` is ~3x faster." + "Model slug. Defaults to the provider-appropriate " + "``gemini-2.5-pro`` variant -- ``google/gemini-2.5-pro`` for " + "OpenRouter, ``gemini-2.5-pro`` for the Gemini API. Override " + "with $OPENROUTER_MODEL or $GEMINI_MODEL respectively. " + "``gemini-2.5-flash`` is ~3x faster with some quality loss." ), ) args = parser.parse_args() - api_key = os.getenv("OPENROUTER_API_KEY") - if not api_key: - sys.stderr.write( - "ERROR: OPENROUTER_API_KEY not set. Copy .env.example to .env " - f"at {ROOT} and fill in your key.\n" - ) - sys.exit(2) + # Resolve the model: explicit ``--model`` wins; otherwise a provider- + # specific env var; otherwise the provider default. + if args.model is not None: + model = args.model + elif args.provider == "openrouter": + model = os.getenv("OPENROUTER_MODEL", DEFAULT_MODEL_BY_PROVIDER["openrouter"]) + else: # gemini + model = os.getenv("GEMINI_MODEL", DEFAULT_MODEL_BY_PROVIDER["gemini"]) + + # Resolve and validate the API key for the chosen provider before + # touching git / GitHub so the user fails fast on configuration errors. + if args.provider == "openrouter": + api_key = os.getenv("OPENROUTER_API_KEY") + if not api_key: + sys.stderr.write( + "ERROR: OPENROUTER_API_KEY not set. Copy .env.example to " + f".env at {ROOT} and fill in your key, or rerun with " + "--provider gemini if you only have a Gemini API key.\n" + ) + sys.exit(2) + else: # gemini + api_key = os.getenv("GEMINI_API_KEY") + if not api_key: + sys.stderr.write( + "ERROR: GEMINI_API_KEY not set. Copy .env.example to .env " + f"at {ROOT} and fill in your Google AI Studio key, or " + "rerun with --provider openrouter if you only have an " + "OpenRouter key.\n" + ) + sys.exit(2) if args.pr: diff = pr_diff(args.pr) @@ -228,19 +367,25 @@ def main() -> None: sys.exit(0) sys.stderr.write( - f"Reviewing {len(diff):,}-char diff with `{args.model}`...\n" - ) - referer = os.getenv( - "OPENROUTER_HTTP_REFERER", "https://github.com/Airwhale/code-review" - ) - title = os.getenv("OPENROUTER_X_TITLE", "OpenRouter Code Review") - output = call_openrouter( - diff=diff, - model=args.model, - api_key=api_key, - referer=referer, - title=title, + f"Reviewing {len(diff):,}-char diff with `{model}` via " + f"{args.provider}...\n" ) + + if args.provider == "openrouter": + referer = os.getenv( + "OPENROUTER_HTTP_REFERER", + "https://github.com/Airwhale/code-review", + ) + title = os.getenv("OPENROUTER_X_TITLE", "OpenRouter Code Review") + output = call_openrouter( + diff=diff, + model=model, + api_key=api_key, + referer=referer, + title=title, + ) + else: # gemini + output = call_gemini(diff=diff, model=model, api_key=api_key) print(output) From c0e37b75a54ba48676bccb6271abc19d2f777e3a Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 00:11:28 -0700 Subject: [PATCH 03/19] Add LLM code-review runbook for agents and humans Documents the iteration-partner workflow used in real review cycles (PRs #5, #6, #7 in the parent project): the four diff modes (--base, --pr, --staged, default merge-base), the two providers (openrouter, gemini) and when to pick which, the accept/decline heuristics that converge to a clean pass without churn, and the known gotchas (transient None responses, free-tier 429 on gemini-2.5-pro direct, the two-dot diff semantics behind --base that lets working-tree edits show up between rounds). The decline contract is the central operational rule: every declined finding gets a code comment explaining the rationale, otherwise the next iteration's model surfaces the same finding again. The comment is how you teach the reviewer about design decisions it cannot infer from the diff alone. Links from the root README so the doc is discoverable. Co-Authored-By: Claude Opus 4.7 (1M context) --- README.md | 4 + docs/llm-code-review-runbook.md | 176 ++++++++++++++++++++++++++++++++ 2 files changed, 180 insertions(+) create mode 100644 docs/llm-code-review-runbook.md diff --git a/README.md b/README.md index 333ed0b..0137341 100644 --- a/README.md +++ b/README.md @@ -99,6 +99,10 @@ Suggested change: When the diff is clean: `No issues found. Code looks clean and ready to merge.` +## Operational runbook for agents and humans + +See [`docs/llm-code-review-runbook.md`](./docs/llm-code-review-runbook.md) for the iteration-partner workflow, accept/decline heuristics, known gotchas, and per-round tracking template. The runbook is written so a fresh coding agent (Claude, Codex, etc.) or a fresh human can pick up the workflow without context. + ## Why this exists The GitHub Gemini Code Assist bot is excellent at finding real concurrency, security, and correctness bugs — but it lives behind a GitHub webhook that calls a Google job queue, and the wall-time latency makes iterative cycles painful when you want a review every few commits. Running the same prompts locally via OpenRouter or the Gemini API cuts the loop from minutes to seconds and works offline from GitHub. diff --git a/docs/llm-code-review-runbook.md b/docs/llm-code-review-runbook.md new file mode 100644 index 0000000..ab4d609 --- /dev/null +++ b/docs/llm-code-review-runbook.md @@ -0,0 +1,176 @@ +# LLM code-review runbook + +Operational guide for using this fork's `review.py` as an iteration partner — written for coding agents (Claude, Codex, etc.) and humans who want the same workflow. Assumes the runner is already installed and `.env` is configured at the repo root. + +The runner is a thin Python wrapper around the upstream `gemini-cli-extensions/code-review` skill + command prompts. It POSTs them to either OpenRouter or the Gemini API and prints structured-markdown findings. Same model, same prompt, same output shape as the GitHub `/gemini review` bot — without the 5–15 min webhook → job-queue wait. + +--- + +## Where the tool lives + +``` +Repository: https://github.com/Airwhale/code-review +Branch: main +Entry point: review.py at the repo root +Dependencies: uv-managed (httpx, python-dotenv) -- first run installs them +Config: .env at the runner's repo root (NOT in the project being reviewed) +``` + +Required keys in `.env` (set whichever provider you'll use; missing keys fail fast with a clear error): +- `OPENROUTER_API_KEY` — for the default OpenRouter provider +- `GEMINI_API_KEY` — for the Gemini API direct provider + +Optional overrides: +- `CODE_REVIEW_PROVIDER` — `openrouter` (default) or `gemini` +- `OPENROUTER_MODEL` — defaults to `google/gemini-2.5-pro` +- `GEMINI_MODEL` — defaults to `gemini-2.5-pro` + +--- + +## Invocation shape + +From any project directory, point at the runner via `uv run --project`: + +```bash +cd /path/to/your-project +uv run --project /path/to/code-review /path/to/code-review/review.py --base origin/main +``` + +Or run directly from the runner directory against an external CWD: + +```bash +cd /path/to/code-review +uv run review.py --pr 6 +``` + +The runner reads `.env` from its own directory, not from CWD — configure it once at the runner location and invoke from any project folder. + +### Four diff modes (mutually exclusive) + +| Flag | Diff scope | Use when | +|---|---|---| +| *(none)* | merge-base against `origin/HEAD` | quick check on current branch | +| `--base origin/main` | **two-dot** diff vs ref, **includes working-tree** | **iterating before commit** — uncommitted edits show up | +| `--pr ` | `gh pr diff N` (requires `gh auth login`) | reviewing an existing PR | +| `--staged` | staged-only | pre-commit hook style | + +### Two providers (swap with `--provider`) + +| Provider | Env key required | Default model | Notes | +|---|---|---|---| +| `openrouter` (default) | `OPENROUTER_API_KEY` | `google/gemini-2.5-pro` | Recommended for iterative work. OpenRouter has reliable quota for pro. | +| `gemini` | `GEMINI_API_KEY` | `gemini-2.5-pro` | Direct to Google AI Studio. The **free tier has zero quota for pro**; use `--model gemini-2.5-flash` if you only have a free key. | + +`--model gemini-2.5-flash` (OpenRouter: `--model google/gemini-2.5-flash`) trades some quality for ~3× speed. Use it during heavy iteration when fast turnaround matters; switch to pro for the final pass. + +--- + +## The iteration loop + +``` +1. Make edits in the target repo (fix a bug, build a feature, etc.). +2. Run: uv run --project /review.py --base origin/main +3. Read the output. It is structured markdown with severity tags: + CRITICAL > HIGH > MEDIUM > LOW. +4. For each finding, decide: accept or decline. +5. Apply accepted fixes inline. Do NOT commit yet. +6. Re-run step 2. +7. Repeat until output is: + "No issues found. Code looks clean and ready to merge." +8. Run tests and a build. Commit. Push. +``` + +**Critical: do not commit between rounds.** The `--base origin/main` mode includes working-tree changes (two-dot diff `git diff -U5 `, not three-dot `...HEAD`). Re-running picks up your in-progress fixes immediately. Committing each round produces noisy history; the reviewer is happy reviewing your uncommitted edits. + +--- + +## Accept / decline heuristics + +**Accept by default:** + +- **CRITICAL / HIGH** unless the finding is factually wrong (rare in practice). Real correctness or security bugs. +- **MEDIUM** about correctness, concurrency, atomicity, latent bugs, schema or type safety. +- **MEDIUM** about defensive coding — wider exception catches, header normalization, partial-key cache invalidation, etc. These are cheap and ship hardening. +- **LOW** when the suggestion is trivially right: consolidating duplicated patterns, fixing typos, tightening assertions, improving comment accuracy. + +**Decline (and add a code comment explaining why):** + +- Findings that contradict load-bearing design intent already encoded in the code. Example: an `/events` vs `/timeline` endpoint pair that looks redundant but is deliberately split for a planned SSE migration. The reviewer doesn't know your roadmap unless your code comments tell it. +- Findings that would untighten a deliberately-tight test. Example: a hardcoded expected count that the reviewer wants you to compute dynamically from the fixture — that turns the test into a tautology (`what the code reads == what the code reports`) and removes the regression-catch. +- Stylistic preferences that don't change correctness, when the existing form has a defensible rationale. Example: `maxsize=8` vs `maxsize=1` on an `lru_cache` where the 8 leaves headroom for test fixtures that load alternate paths. + +**The decline contract:** every declined finding gets a code comment explaining the rationale, immediately adjacent to the code the reviewer flagged. Without the comment, the next iteration's model will surface the same finding again. The comment is a contract with future review rounds — it's how you teach the reviewer about decisions it can't infer from the diff alone. + +--- + +## Known gotchas + +1. **Transient `None` output.** OpenRouter occasionally returns an empty completion (content filter, provider hiccup, rate-limit interstitial). The runner surfaces this as a literal `None`. Just rerun the same command — the second call has always worked in practice. Don't debug it. + +2. **Free-tier 429 on Gemini direct.** `--provider gemini --model gemini-2.5-pro` requires a paid Google AI Studio plan; the free tier returns HTTP 429 immediately. Either use `--provider openrouter` (preferred) or `--model gemini-2.5-flash --provider gemini`. + +3. **Two-dot diff vs three-dot.** `--base ` uses `git diff -U5 ` (two-dot). Three-dot (`...HEAD`) would show only committed changes, miss working-tree edits, and the reviewer would keep re-flagging the same issues. The two-dot semantics is intentional for the iterative-review workflow. + +4. **Comment-as-defense.** If you decline a finding without commenting, expect the same finding on the next round. Comments are the canonical way to suppress repeat findings. + +5. **Diff size shapes round count.** Reviews on ~300K-char diffs (large feature PRs) cost more tokens and surface more findings per round. Smaller, focused diffs converge to clean faster. Typical observed round counts: + - Small PR (~25K chars, single feature): 3 rounds to clean + - Medium PR (~50K chars): 4–6 rounds + - Large PR (~300K chars, multi-file feature): 8–12 rounds + +6. **`tee` to a file.** When the output is large, pipe to `tee /tmp/review.md` so you can re-read findings without re-invoking the tool. Saves context budget on subsequent steps. + +--- + +## When to also call `/gemini review` on GitHub + +Treat the local tool as the **iteration partner** and the GitHub `/gemini review` bot as the **final-mile verifier**. They use the same model and similar prompts; the GitHub bot's only advantage is independence ("a third party reviewed this, not your own prompt-following loop"). + +Bring in the GitHub bot when: + +- The diff touches concurrency, locks, signing, replay, differential privacy ledgers, policy boundaries, or auth surfaces — anywhere a missed bug has outsized blast radius. +- The PR is large enough that you want a credibility signal beyond "I ran the same model locally." +- You're about to merge to `main` and want one independent confirmation. + +For most PRs, three to five clean local rounds is sufficient and saves 30–45 minutes per PR vs the webhook round-trip. + +--- + +## Per-round tracking + +Keep a one-line ledger per round so the final commit message or PR comment can summarize the cycle: + +``` +Iter N: -> applied | declined-with-comment | clean +``` + +After the cycle, the ledger becomes the table in the commit body or PR comment. Example from PR #7 in the parent project: + +``` +| Round | Finding | Action | +|-------|----------------------------------------------------|-----------------------| +| 1 | MED cache duplication between modules | Applied | +| 1 | LOW lru_cache maxsize nit | Declined w/ comment | +| 2 | MED CWD-relative path resolution | Applied | +| 3 | None -- "No issues found. Code looks clean..." | Ready | +``` + +This is the artifact a human reviewer reads to understand what changed and why. Do not skip it. + +--- + +## One-liner reference + +The command shape used most often during iterative work: + +```bash +uv run --project /path/to/code-review /path/to/code-review/review.py --base origin/main 2>&1 | tee /tmp/review.md +``` + +Tail the file in another shell, or pipe to `head -80` if you only want the first few findings. + +--- + +## Provenance + +This fork (`Airwhale/code-review`) keeps the upstream `gemini-cli-extensions/code-review` skill and command prompts byte-identical so upstream improvements rebase cleanly. The only fork additions are `review.py`, `pyproject.toml`, `.env.example`, `.gitignore`, and the rewritten root `README.md`. See the root README for the full list of fork modifications and how to sync against upstream. From f0bf829b77eb7804e2474fa4ba698d4a68d9c7d3 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 00:13:54 -0700 Subject: [PATCH 04/19] Generalize LLM code-review runbook Removes project-specific references (parent-project PR numbers, real findings cited verbatim, references to "the parent project") so the runbook reads as a standalone operational guide that works for anyone cloning this fork, not just contributors who happen to also work on the project where the workflow was originally developed. Changes: - Strip "real review cycles (PRs #5, #6, #7 in the parent project)" framing from the opening; the runbook stands on its own merit. - Convert the accept/decline examples from specific past findings to *shapes* (e.g. "a pair of API endpoints that look redundant but are deliberately split for a planned future migration") so the pattern transfers to any codebase. - Replace the per-round-tracking example table's content with illustrative-but-generic finding descriptions rather than verbatim rows from one specific PR's review log. - Promote the decline contract to its own section to surface the central operational rule earlier and more prominently. - Drop the gotcha that re-stated the decline contract; one mention in its own section is enough. No change to the operational mechanics, the diff-mode table, the provider table, the iteration-loop steps, or the gotchas list. Co-Authored-By: Claude Opus 4.7 (1M context) --- docs/llm-code-review-runbook.md | 129 ++++++++++++++++---------------- 1 file changed, 66 insertions(+), 63 deletions(-) diff --git a/docs/llm-code-review-runbook.md b/docs/llm-code-review-runbook.md index ab4d609..ccd753c 100644 --- a/docs/llm-code-review-runbook.md +++ b/docs/llm-code-review-runbook.md @@ -1,86 +1,85 @@ # LLM code-review runbook -Operational guide for using this fork's `review.py` as an iteration partner — written for coding agents (Claude, Codex, etc.) and humans who want the same workflow. Assumes the runner is already installed and `.env` is configured at the repo root. +Operational guide for using `review.py` as an iteration partner during code work. Same workflow whether you're a human developer or a coding agent (Claude, Codex, etc.). -The runner is a thin Python wrapper around the upstream `gemini-cli-extensions/code-review` skill + command prompts. It POSTs them to either OpenRouter or the Gemini API and prints structured-markdown findings. Same model, same prompt, same output shape as the GitHub `/gemini review` bot — without the 5–15 min webhook → job-queue wait. +The runner is a thin Python wrapper around the upstream `gemini-cli-extensions/code-review` skill + command prompts. It POSTs them to either OpenRouter or the Gemini API and prints structured-markdown findings — same model, same prompts, same output shape as the GitHub `/gemini review` bot, without the 5–15 min webhook → job-queue wait. --- -## Where the tool lives +## Setup ``` -Repository: https://github.com/Airwhale/code-review -Branch: main -Entry point: review.py at the repo root -Dependencies: uv-managed (httpx, python-dotenv) -- first run installs them -Config: .env at the runner's repo root (NOT in the project being reviewed) +Repository: https://github.com/Airwhale/code-review +Entry point: review.py at the repo root +Dependencies: uv-managed -- first run installs them +Config: .env at the runner's repo root (NOT at the project being reviewed) ``` -Required keys in `.env` (set whichever provider you'll use; missing keys fail fast with a clear error): -- `OPENROUTER_API_KEY` — for the default OpenRouter provider -- `GEMINI_API_KEY` — for the Gemini API direct provider +Set the key for whichever provider you'll use; missing keys fail fast with a clear error: -Optional overrides: -- `CODE_REVIEW_PROVIDER` — `openrouter` (default) or `gemini` -- `OPENROUTER_MODEL` — defaults to `google/gemini-2.5-pro` -- `GEMINI_MODEL` — defaults to `gemini-2.5-pro` +- `OPENROUTER_API_KEY` — default provider +- `GEMINI_API_KEY` — direct Google AI Studio path + +Optional: `CODE_REVIEW_PROVIDER`, `OPENROUTER_MODEL`, `GEMINI_MODEL` override the defaults. --- -## Invocation shape +## Invocation -From any project directory, point at the runner via `uv run --project`: +From any project directory: ```bash cd /path/to/your-project uv run --project /path/to/code-review /path/to/code-review/review.py --base origin/main ``` -Or run directly from the runner directory against an external CWD: +Or from the runner directory against an external CWD: ```bash cd /path/to/code-review -uv run review.py --pr 6 +uv run review.py --pr 42 ``` -The runner reads `.env` from its own directory, not from CWD — configure it once at the runner location and invoke from any project folder. +The runner reads `.env` from its own directory — configure once, invoke from anywhere. + +### Diff modes (mutually exclusive) -### Four diff modes (mutually exclusive) +| Flag | Diff scope | Use when | +|----------------------|-------------------------------------------------|-----------------------------------------| +| *(none)* | merge-base against `origin/HEAD` | quick check on current branch | +| `--base origin/main` | two-dot diff vs ref, **includes working tree** | iterating before commit | +| `--pr ` | `gh pr diff N` (requires `gh auth login`) | reviewing an existing PR | +| `--staged` | staged-only | pre-commit hook style | -| Flag | Diff scope | Use when | -|---|---|---| -| *(none)* | merge-base against `origin/HEAD` | quick check on current branch | -| `--base origin/main` | **two-dot** diff vs ref, **includes working-tree** | **iterating before commit** — uncommitted edits show up | -| `--pr ` | `gh pr diff N` (requires `gh auth login`) | reviewing an existing PR | -| `--staged` | staged-only | pre-commit hook style | +### Providers -### Two providers (swap with `--provider`) +| `--provider` | Env key required | Default model | Notes | +|-----------------|-------------------------|--------------------------|-----------------------------------------------------------------------------------------| +| `openrouter` * | `OPENROUTER_API_KEY` | `google/gemini-2.5-pro` | Default. Reliable quota; recommended for iterative work. | +| `gemini` | `GEMINI_API_KEY` | `gemini-2.5-pro` | Direct to Google AI Studio. **Free tier has zero quota for pro** — use flash if free. | -| Provider | Env key required | Default model | Notes | -|---|---|---|---| -| `openrouter` (default) | `OPENROUTER_API_KEY` | `google/gemini-2.5-pro` | Recommended for iterative work. OpenRouter has reliable quota for pro. | -| `gemini` | `GEMINI_API_KEY` | `gemini-2.5-pro` | Direct to Google AI Studio. The **free tier has zero quota for pro**; use `--model gemini-2.5-flash` if you only have a free key. | +\* default -`--model gemini-2.5-flash` (OpenRouter: `--model google/gemini-2.5-flash`) trades some quality for ~3× speed. Use it during heavy iteration when fast turnaround matters; switch to pro for the final pass. +`--model ` overrides the default. The `flash` variant is ~3× faster than `pro` with some quality loss — use during heavy iteration, switch to `pro` for the final pass. --- -## The iteration loop +## Iteration loop ``` -1. Make edits in the target repo (fix a bug, build a feature, etc.). +1. Edit the target repo (fix a bug, build a feature, etc.). 2. Run: uv run --project /review.py --base origin/main -3. Read the output. It is structured markdown with severity tags: +3. Read the structured-markdown output. Findings are tagged CRITICAL > HIGH > MEDIUM > LOW. 4. For each finding, decide: accept or decline. 5. Apply accepted fixes inline. Do NOT commit yet. 6. Re-run step 2. 7. Repeat until output is: "No issues found. Code looks clean and ready to merge." -8. Run tests and a build. Commit. Push. +8. Run tests + build. Commit. Push. ``` -**Critical: do not commit between rounds.** The `--base origin/main` mode includes working-tree changes (two-dot diff `git diff -U5 `, not three-dot `...HEAD`). Re-running picks up your in-progress fixes immediately. Committing each round produces noisy history; the reviewer is happy reviewing your uncommitted edits. +**Do not commit between rounds.** `--base origin/main` uses a two-dot diff (`git diff -U5 `), which includes working-tree edits. Re-running picks up in-progress fixes immediately. Committing every round produces noisy history; the reviewer is happy reviewing uncommitted edits. --- @@ -88,18 +87,24 @@ The runner reads `.env` from its own directory, not from CWD — configure it on **Accept by default:** -- **CRITICAL / HIGH** unless the finding is factually wrong (rare in practice). Real correctness or security bugs. +- **CRITICAL / HIGH** unless the finding is factually wrong (rare). Real correctness or security bugs. - **MEDIUM** about correctness, concurrency, atomicity, latent bugs, schema or type safety. -- **MEDIUM** about defensive coding — wider exception catches, header normalization, partial-key cache invalidation, etc. These are cheap and ship hardening. -- **LOW** when the suggestion is trivially right: consolidating duplicated patterns, fixing typos, tightening assertions, improving comment accuracy. +- **MEDIUM** about defensive coding — wider exception catches, header normalization, partial-key cache invalidation. Cheap hardening. +- **LOW** when trivially right: consolidating duplicates, fixing typos, tightening assertions, correcting inaccurate comments. **Decline (and add a code comment explaining why):** -- Findings that contradict load-bearing design intent already encoded in the code. Example: an `/events` vs `/timeline` endpoint pair that looks redundant but is deliberately split for a planned SSE migration. The reviewer doesn't know your roadmap unless your code comments tell it. -- Findings that would untighten a deliberately-tight test. Example: a hardcoded expected count that the reviewer wants you to compute dynamically from the fixture — that turns the test into a tautology (`what the code reads == what the code reports`) and removes the regression-catch. -- Stylistic preferences that don't change correctness, when the existing form has a defensible rationale. Example: `maxsize=8` vs `maxsize=1` on an `lru_cache` where the 8 leaves headroom for test fixtures that load alternate paths. +- Findings that contradict load-bearing design intent already encoded. *Shape:* a pair of API endpoints that look redundant but are deliberately split for a planned future migration. The reviewer doesn't know your roadmap unless your code comments tell it. +- Findings that would untighten a deliberately-tight test. *Shape:* a hardcoded expected count the reviewer wants computed dynamically from the fixture — that turns the test into a tautology (*what the code reads == what the code reports*) and removes the regression-catch. +- Stylistic preferences that don't change correctness when the existing form has a defensible rationale. *Shape:* a cache `maxsize` chosen with deliberate headroom for test fixtures rather than the obvious-singleton value. + +--- -**The decline contract:** every declined finding gets a code comment explaining the rationale, immediately adjacent to the code the reviewer flagged. Without the comment, the next iteration's model will surface the same finding again. The comment is a contract with future review rounds — it's how you teach the reviewer about decisions it can't infer from the diff alone. +## The decline contract + +**Every declined finding gets a code comment immediately adjacent to the flagged code**, explaining why the suggestion was rejected. Without the comment, the next iteration's model will surface the same finding again. The comment is a contract with future review rounds — it's how you teach the reviewer about decisions it cannot infer from the diff alone. + +This is the central operational rule. Without it, the loop churns on the same findings indefinitely. With it, the loop converges to clean in a small number of rounds. --- @@ -107,30 +112,28 @@ The runner reads `.env` from its own directory, not from CWD — configure it on 1. **Transient `None` output.** OpenRouter occasionally returns an empty completion (content filter, provider hiccup, rate-limit interstitial). The runner surfaces this as a literal `None`. Just rerun the same command — the second call has always worked in practice. Don't debug it. -2. **Free-tier 429 on Gemini direct.** `--provider gemini --model gemini-2.5-pro` requires a paid Google AI Studio plan; the free tier returns HTTP 429 immediately. Either use `--provider openrouter` (preferred) or `--model gemini-2.5-flash --provider gemini`. - -3. **Two-dot diff vs three-dot.** `--base ` uses `git diff -U5 ` (two-dot). Three-dot (`...HEAD`) would show only committed changes, miss working-tree edits, and the reviewer would keep re-flagging the same issues. The two-dot semantics is intentional for the iterative-review workflow. +2. **Free-tier 429 on Gemini direct.** `--provider gemini --model gemini-2.5-pro` requires a paid Google AI Studio plan; the free tier returns HTTP 429 immediately. Either use `--provider openrouter` (preferred) or `--model gemini-2.5-flash`. -4. **Comment-as-defense.** If you decline a finding without commenting, expect the same finding on the next round. Comments are the canonical way to suppress repeat findings. +3. **Two-dot vs three-dot diff.** `--base ` uses two-dot (`git diff -U5 `) so working-tree changes show up. Three-dot (`...HEAD`) would show only committed changes and the reviewer would keep re-flagging the same issues. The two-dot semantics is intentional for the iteration workflow. -5. **Diff size shapes round count.** Reviews on ~300K-char diffs (large feature PRs) cost more tokens and surface more findings per round. Smaller, focused diffs converge to clean faster. Typical observed round counts: - - Small PR (~25K chars, single feature): 3 rounds to clean +4. **Diff size shapes round count.** Larger diffs surface more findings per round and take more rounds to converge. Rough observed shapes: + - Small PR (~25K-char diff, single feature): 3–4 rounds - Medium PR (~50K chars): 4–6 rounds - - Large PR (~300K chars, multi-file feature): 8–12 rounds + - Large PR (~300K chars): 8–12 rounds -6. **`tee` to a file.** When the output is large, pipe to `tee /tmp/review.md` so you can re-read findings without re-invoking the tool. Saves context budget on subsequent steps. +5. **`tee` to a file.** When output is large, pipe to `tee /tmp/review.md` so you can re-read findings without re-invoking the tool. Saves context budget on subsequent steps. --- ## When to also call `/gemini review` on GitHub -Treat the local tool as the **iteration partner** and the GitHub `/gemini review` bot as the **final-mile verifier**. They use the same model and similar prompts; the GitHub bot's only advantage is independence ("a third party reviewed this, not your own prompt-following loop"). +Treat the local tool as the **iteration partner** and the GitHub `/gemini review` bot as the **final-mile verifier**. They use the same model and similar prompts; the GitHub bot's only advantage is independence ("a third party reviewed this, not my own prompt-following loop"). Bring in the GitHub bot when: -- The diff touches concurrency, locks, signing, replay, differential privacy ledgers, policy boundaries, or auth surfaces — anywhere a missed bug has outsized blast radius. +- The diff touches concurrency, locks, signing/replay, differential privacy ledgers, policy boundaries, or auth surfaces — anywhere a missed bug has outsized blast radius. - The PR is large enough that you want a credibility signal beyond "I ran the same model locally." -- You're about to merge to `main` and want one independent confirmation. +- You're about to merge to a protected branch and want one independent confirmation. For most PRs, three to five clean local rounds is sufficient and saves 30–45 minutes per PR vs the webhook round-trip. @@ -144,18 +147,18 @@ Keep a one-line ledger per round so the final commit message or PR comment can s Iter N: -> applied | declined-with-comment | clean ``` -After the cycle, the ledger becomes the table in the commit body or PR comment. Example from PR #7 in the parent project: +After the cycle, the ledger becomes a table in the commit body or PR comment: ``` | Round | Finding | Action | |-------|----------------------------------------------------|-----------------------| -| 1 | MED cache duplication between modules | Applied | -| 1 | LOW lru_cache maxsize nit | Declined w/ comment | -| 2 | MED CWD-relative path resolution | Applied | +| 1 | MED: cache duplicated across modules | Applied | +| 1 | LOW: lru_cache maxsize stylistic nit | Declined w/ comment | +| 2 | MED: CWD-relative path resolution is fragile | Applied | | 3 | None -- "No issues found. Code looks clean..." | Ready | ``` -This is the artifact a human reviewer reads to understand what changed and why. Do not skip it. +This is the artifact a human reviewer reads to understand what changed and why. Don't skip it. --- @@ -167,10 +170,10 @@ The command shape used most often during iterative work: uv run --project /path/to/code-review /path/to/code-review/review.py --base origin/main 2>&1 | tee /tmp/review.md ``` -Tail the file in another shell, or pipe to `head -80` if you only want the first few findings. +Tail the file in another shell, or pipe to `head -80` if you only want the top findings. --- ## Provenance -This fork (`Airwhale/code-review`) keeps the upstream `gemini-cli-extensions/code-review` skill and command prompts byte-identical so upstream improvements rebase cleanly. The only fork additions are `review.py`, `pyproject.toml`, `.env.example`, `.gitignore`, and the rewritten root `README.md`. See the root README for the full list of fork modifications and how to sync against upstream. +This fork keeps the upstream `gemini-cli-extensions/code-review` skill and command prompts byte-identical so upstream improvements rebase cleanly. Fork additions: `review.py`, `pyproject.toml`, `.env.example`, `.gitignore`, this runbook, and a rewritten root `README.md`. See the root README for the full list of fork modifications and how to sync against upstream. From e0dafc3dbb5f0e7d8fd5b5c57540acdb20f1877f Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 00:17:20 -0700 Subject: [PATCH 05/19] README: surface LLM-friendliness and point agents at the runbook Promotes the runbook link from a buried section near the end of the README to a prominent callout right after the intro blockquote so an LLM agent landing in this repo finds the operational manual without having to scroll past the comparison tables and setup blocks. Changes: - New "For LLM coding agents" section right at the top: declares the tool LLM-friendly by design, names the audience explicitly (Claude, Codex, Cursor, etc.), and tells agents in a blockquote to go straight to docs/llm-code-review-runbook.md as their canonical entry point. Frames the rest of the README as the general-audience documentation and the runbook as the agent-targeted documentation. - Tighten the existing "Operational runbook" section so it doesn't duplicate the top callout; it now just notes the file location and that the content serves both humans and agents. Co-Authored-By: Claude Opus 4.7 (1M context) --- README.md | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0137341..9a8d4e8 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,16 @@ > > Why: the GitHub Gemini Code Assist bot's webhook → job-queue round-trip adds 5–15 minutes per review round. The runner cuts that to ~30–60 seconds. +## For LLM coding agents + +This tool is **LLM-friendly by design**. It's built to be invoked by AI coding agents (Claude, Codex, Cursor, etc.) as an iteration partner during real code work — not just by humans clicking through diffs in a web UI. + +> **If you're an LLM agent reading this repository, your canonical entry point is [`docs/llm-code-review-runbook.md`](./docs/llm-code-review-runbook.md).** +> +> That file is the operational manual — exact invocation patterns, accept / decline heuristics, the decline-comment contract that makes the iteration loop converge instead of churning on the same finding every pass, the known gotchas, and the per-round tracking template. It is written to be self-contained: you can pick it up cold and start producing clean review cycles without any other context. + +The rest of this README is the general-audience documentation (humans, contributors, anyone evaluating the fork). The runbook is the agent-targeted documentation, and it is the file to read first if your job is to use the tool, not understand its provenance. + ## What this fork adds vs upstream | File | New / modified | Purpose | @@ -99,9 +109,9 @@ Suggested change: When the diff is clean: `No issues found. Code looks clean and ready to merge.` -## Operational runbook for agents and humans +## Operational runbook -See [`docs/llm-code-review-runbook.md`](./docs/llm-code-review-runbook.md) for the iteration-partner workflow, accept/decline heuristics, known gotchas, and per-round tracking template. The runbook is written so a fresh coding agent (Claude, Codex, etc.) or a fresh human can pick up the workflow without context. +The full workflow — iteration loop, accept/decline heuristics, the decline-comment contract, known gotchas, per-round tracking — lives in [`docs/llm-code-review-runbook.md`](./docs/llm-code-review-runbook.md). Same content works for human developers and LLM agents alike. ## Why this exists From 47fb2ec4fb2502157f03ac6eb247160881cd3f89 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 00:19:22 -0700 Subject: [PATCH 06/19] Rename references to match new repo slug local-gemini-code-review GitHub repo was renamed from Airwhale/code-review to Airwhale/local-gemini-code-review for clarity (the old name collided visually with the upstream gemini-cli-extensions/code-review). GitHub serves redirects from the old URL, but the canonical URL should appear in the four places this repo references itself: - review.py: default OPENROUTER_HTTP_REFERER header (surfaces in OpenRouter's dashboard for attribution) - .env.example: documented OPENROUTER_HTTP_REFERER override - README.md: ``git clone`` command in the Quick start; matching ``cd`` target updated to the new directory name - docs/llm-code-review-runbook.md: Repository line in the Setup block Local git remote also updated to the new URL via ``git remote set-url origin``; the parent project (where the runner is invoked from) had no stale references. Co-Authored-By: Claude Opus 4.7 (1M context) --- .env.example | 2 +- README.md | 4 ++-- docs/llm-code-review-runbook.md | 2 +- review.py | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/.env.example b/.env.example index 44bba2e..712f2bf 100644 --- a/.env.example +++ b/.env.example @@ -17,7 +17,7 @@ OPENROUTER_API_KEY= # OPENROUTER_MODEL=google/gemini-2.5-pro # Optional: identifying headers OpenRouter surfaces in its dashboard. -# OPENROUTER_HTTP_REFERER=https://github.com/Airwhale/code-review +# OPENROUTER_HTTP_REFERER=https://github.com/Airwhale/local-gemini-code-review # OPENROUTER_X_TITLE=OpenRouter Code Review # --- Gemini API (Google AI Studio) ------------------------------------------- diff --git a/README.md b/README.md index 9a8d4e8..fd00f57 100644 --- a/README.md +++ b/README.md @@ -39,8 +39,8 @@ git checkout main && git merge upstream/main # picks up upstream prompt change ```bash # One-time: clone and configure -git clone https://github.com/Airwhale/code-review -cd code-review +git clone https://github.com/Airwhale/local-gemini-code-review +cd local-gemini-code-review cp .env.example .env # edit .env: set OPENROUTER_API_KEY=... or GEMINI_API_KEY=... (or both) diff --git a/docs/llm-code-review-runbook.md b/docs/llm-code-review-runbook.md index ccd753c..479cf70 100644 --- a/docs/llm-code-review-runbook.md +++ b/docs/llm-code-review-runbook.md @@ -9,7 +9,7 @@ The runner is a thin Python wrapper around the upstream `gemini-cli-extensions/c ## Setup ``` -Repository: https://github.com/Airwhale/code-review +Repository: https://github.com/Airwhale/local-gemini-code-review Entry point: review.py at the repo root Dependencies: uv-managed -- first run installs them Config: .env at the runner's repo root (NOT at the project being reviewed) diff --git a/review.py b/review.py index a2070a8..3f16bc9 100644 --- a/review.py +++ b/review.py @@ -374,7 +374,7 @@ def main() -> None: if args.provider == "openrouter": referer = os.getenv( "OPENROUTER_HTTP_REFERER", - "https://github.com/Airwhale/code-review", + "https://github.com/Airwhale/local-gemini-code-review", ) title = os.getenv("OPENROUTER_X_TITLE", "OpenRouter Code Review") output = call_openrouter( From a3d1b46459473bb64b3e412674991995b583a2bf Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 00:23:19 -0700 Subject: [PATCH 07/19] docs: align /path/to placeholder examples with the renamed repo slug A reader following the README's Quick Start or the runbook's invocation block would create or expect a directory named ``code-review`` from the ``/path/to/code-review`` placeholder. Now that the canonical repo slug is ``local-gemini-code-review``, the placeholder examples match the actual name so a copy-paste produces something consistent with the rest of the documentation. Five occurrences updated across README.md and the runbook. Co-Authored-By: Claude Opus 4.7 (1M context) --- README.md | 4 ++-- docs/llm-code-review-runbook.md | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index fd00f57..a9f074b 100644 --- a/README.md +++ b/README.md @@ -46,10 +46,10 @@ cp .env.example .env # Review the current branch of whatever project you're in: cd /path/to/my-project -uv run --project /path/to/code-review /path/to/code-review/review.py +uv run --project /path/to/local-gemini-code-review /path/to/local-gemini-code-review/review.py # Or invoke from the runner directory against an external CWD: -cd /path/to/code-review +cd /path/to/local-gemini-code-review uv run review.py --pr 6 ``` diff --git a/docs/llm-code-review-runbook.md b/docs/llm-code-review-runbook.md index 479cf70..8547efc 100644 --- a/docs/llm-code-review-runbook.md +++ b/docs/llm-code-review-runbook.md @@ -30,13 +30,13 @@ From any project directory: ```bash cd /path/to/your-project -uv run --project /path/to/code-review /path/to/code-review/review.py --base origin/main +uv run --project /path/to/local-gemini-code-review /path/to/local-gemini-code-review/review.py --base origin/main ``` Or from the runner directory against an external CWD: ```bash -cd /path/to/code-review +cd /path/to/local-gemini-code-review uv run review.py --pr 42 ``` @@ -167,7 +167,7 @@ This is the artifact a human reviewer reads to understand what changed and why. The command shape used most often during iterative work: ```bash -uv run --project /path/to/code-review /path/to/code-review/review.py --base origin/main 2>&1 | tee /tmp/review.md +uv run --project /path/to/local-gemini-code-review /path/to/local-gemini-code-review/review.py --base origin/main 2>&1 | tee /tmp/review.md ``` Tail the file in another shell, or pipe to `head -80` if you only want the top findings. From 63461a9b8d707d6d5de213c9f957e9f3991573e8 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 10:27:03 -0700 Subject: [PATCH 08/19] Add named model aliases and whole-codebase review mode Two additive features; no behavior change for existing diff modes. Model aliases (--provider openrouter only) - Curated table of short names for the most useful "reviewer" models on OpenRouter so `--model claude` expands to `anthropic/claude-sonnet-4.5` instead of requiring the full vendor-prefixed slug each invocation. Aliases shipped: pro / gemini-pro, flash / gemini-flash, claude / claude-sonnet, claude-opus, gpt, gpt-mini, deepseek. Raw slugs still pass through unchanged so newer-than-the-alias-table models work too. - Aliases with `--provider gemini` are a category error (the direct Gemini API path takes bare Gemini model names only) and exit fast with a clear message rather than silently sending an invalid slug. Whole-codebase mode (--codebase) - New mode in the existing mutually-exclusive source group (alongside --base / --pr / --staged). Bundles tracked files into a single delimited payload and reviews them as a whole, for "audit this repo I just inherited" or "find bugs in code none of us touched in this PR" situations the diff modes cannot serve. - File selection pipeline: git ls-files (so .gitignore already filters node_modules, .venv, build artifacts) -> user --include globs -> user --exclude globs -> built-in defensive excludes (lock files, minified bundles, common binary asset extensions, */dist/*, */build/*) -> drop individual files >100 KB (logged on stderr). - Pre-flight bundle cap at 700 K chars (~175 K tokens, conservative against both Gemini 2.5 Pro and Claude Sonnet 4.5 context limits). Exits with the 10 largest files in the current selection so the user can target --exclude effectively rather than paying for a request that would fail mid-flight on the smaller-context model. - Cannot reuse the upstream code-review-commons skill because its Critical Constraints section says "comment only on lines beginning with + or -" -- that forbids commenting on anything in a whole-file bundle (no diff markers). Added fork-specific skill at skills/code-review-codebase/SKILL.md with the same Principal Software Engineer persona and severity rubric but with the diff-line constraint replaced with file-path + line-number anchoring via the `======== FILE: ========` delimiter. New command at commands/codebase-review.toml activates the new skill and defines the per-file findings output template. Architectural-summary output shape: explicit TODO - Inline TODO comment in review.py's build_codebase_prompts() pointing to the runbook's "Future modes" section. - Dedicated "Future modes" section in docs/llm-code-review-runbook.md documenting the proposed --summary flag and three reasons it's deferred (hallucination risk, less actionable, token-budget contention). Internal refactor - Extracted prompt building (build_diff_prompts / build_codebase_prompts) out of the call_openrouter / call_gemini provider functions so the wire path is mode-agnostic. Both providers now take pre-built (system_prompt, user_prompt) pairs directly. - _resolve_model() helper for alias expansion logic. - _glob_match() helper that tests patterns against both full POSIX paths and basenames so `--exclude 'test_*.py'` catches nested test files without requiring the user to also write `--exclude '**/test_*.py'`. Smoke tests run end-to-end against this repo: - --help renders new flags - --model flash resolves to google/gemini-2.5-flash and produces output - --provider gemini --model claude exits cleanly with code 2 and the designed error message - --codebase reviews 15 files (76 KB) and produces structured per-file findings - --codebase --include '*.toml' narrows to 3 files (4.5 KB) Documentation - README: fork-additions table updated with the two new files and docs/runbook; new "Model aliases" subsection under Provider selection; new "Whole-codebase mode (--codebase)" subsection under Modes with selection pipeline and bundle-cap behavior. - docs/llm-code-review-runbook.md: rename "Diff modes" -> "Source modes" with --codebase added; new "Model selection" subsection with the alias table; new "Whole-codebase mode" subsection; new "Future modes (TODO)" section documenting both the architectural-summary deferral and the per-file-iteration alternative for codebases too big to bundle. Co-Authored-By: Claude Opus 4.7 (1M context) --- README.md | 61 +++- commands/codebase-review.toml | 44 +++ docs/llm-code-review-runbook.md | 72 ++++- review.py | 456 +++++++++++++++++++++++---- skills/code-review-codebase/SKILL.md | 63 ++++ 5 files changed, 618 insertions(+), 78 deletions(-) create mode 100644 commands/codebase-review.toml create mode 100644 skills/code-review-codebase/SKILL.md diff --git a/README.md b/README.md index a9f074b..a1e82e5 100644 --- a/README.md +++ b/README.md @@ -18,13 +18,16 @@ The rest of this README is the general-audience documentation (humans, contribut | File | New / modified | Purpose | |---|---|---| -| `review.py` | **new** | Standalone runner. Loads the upstream skill + command prompts unchanged and POSTs them to either OpenRouter or the Gemini API. | +| `review.py` | **new** | Standalone runner. Loads upstream skill + command prompts for diff review, adds fork-specific skill + command for whole-codebase review, POSTs to OpenRouter or the Gemini API. Includes a curated alias table so `--model claude` expands to the full OpenRouter slug. | +| `skills/code-review-codebase/SKILL.md` | **new** | Fork-specific whole-codebase review skill. Same persona / severity rubric as the upstream `code-review-commons` skill, but Critical Constraints adapted to permit comments on any line of any file in the bundle (the upstream "comment only on `+`/`-` lines" rule forbids commenting on whole-file content). | +| `commands/codebase-review.toml` | **new** | Fork-specific command for `--codebase` mode. Defines the bundle delimiter and per-file-findings output shape. | | `pyproject.toml` | **new** | `uv`-managed deps (`httpx`, `python-dotenv`). | | `.env.example` | **new** | Documents `OPENROUTER_API_KEY`, `GEMINI_API_KEY`, and optional model / provider overrides. | | `.gitignore` | **new** | Protects `.env` and the `uv` virtualenv from leaking. | +| `docs/llm-code-review-runbook.md` | **new** | Operational runbook for using the tool as an LLM iteration partner. | | `README.md` | **modified** | This file — documents the fork's runner alongside the upstream CLI mode. | -| `skills/code-review-commons/SKILL.md` | unchanged | Upstream system prompt (loaded verbatim). | -| `commands/code-review.toml` | unchanged | Upstream user-prompt template (loaded verbatim). | +| `skills/code-review-commons/SKILL.md` | unchanged | Upstream system prompt (loaded verbatim for diff review). | +| `commands/code-review.toml` | unchanged | Upstream diff-review user-prompt template (loaded verbatim). | | `commands/pr-code-review.toml` | unchanged | Upstream PR-review command (not used by the runner). | | `gemini-extension.json`, `GEMINI.md`, `LICENSE` | unchanged | Upstream metadata. | @@ -78,16 +81,56 @@ uv run review.py --provider gemini # direct Gemini API Set a default per-environment via `$CODE_REVIEW_PROVIDER=gemini` in your `.env` so you don't have to pass `--provider` every invocation. +### Model aliases + +The `--model` flag accepts any OpenRouter slug, but a small curated alias table collapses the most common reviewers to a short name. Aliases work **only** under `--provider openrouter`; the Gemini API direct path takes bare Gemini model names. Passing an alias with `--provider gemini` errors out with a clear message. + +| Alias | Resolves to | Notes | +|---|---|---| +| `pro` / `gemini-pro` | `google/gemini-2.5-pro` | Current default. | +| `flash` / `gemini-flash` | `google/gemini-2.5-flash` | ~3× faster than pro, some quality loss. | +| `claude` / `claude-sonnet` | `anthropic/claude-sonnet-4.5` | Great as a second-opinion reviewer alongside a Gemini round. | +| `claude-opus` | `anthropic/claude-opus-4.5` | Larger model; slower and pricier. | +| `gpt` | `openai/gpt-5` | Useful for an independent third opinion. | +| `gpt-mini` | `openai/gpt-5-mini` | Cheaper / faster GPT. | +| `deepseek` | `deepseek/deepseek-chat-v3.1` | Cheap, surprisingly strong on code review. | + +Raw slugs still pass through unchanged, so anything OpenRouter serves — including newer models that haven't earned an alias yet — works via `--model /`. + ## Modes -| Flag | What it diffs | +| Flag | What it does | |---|---| -| *(none)* | Current branch vs `origin/HEAD` merge-base — matches the upstream `gemini-cli` `/code-review` shape | -| `--base main` | Current branch vs an explicit base ref (**includes uncommitted changes**, so iterative-review loops work without committing each pass) | -| `--pr ` | Pulls a GitHub PR diff via `gh pr diff` (requires `gh auth login`) | -| `--staged` | Staged changes only — good for pre-commit reviews | +| *(none)* | Diff: current branch vs `origin/HEAD` merge-base — matches the upstream `gemini-cli` `/code-review` shape. | +| `--base main` | Diff: current branch vs an explicit base ref (**includes uncommitted changes**, so iterative-review loops work without committing each pass). | +| `--pr ` | Diff: pulls a GitHub PR diff via `gh pr diff` (requires `gh auth login`). | +| `--staged` | Diff: staged changes only — good for pre-commit reviews. | +| `--codebase` | Whole codebase: bundles tracked files (via `git ls-files`) and reviews them all. Narrow with `--include` / `--exclude` glob flags. | + +`--model ` overrides the default model. Use `google/gemini-2.5-flash` / `flash` (OpenRouter) or `gemini-2.5-flash` (Gemini API) for ~3× faster reviews with some quality loss. + +### Whole-codebase mode (`--codebase`) + +For "audit this repo I just inherited" or "find bugs in code none of us touched in this PR," the diff modes don't help. `--codebase` bundles every tracked file (filtered) into a single payload and reviews them as a whole. + +```bash +uv run review.py --codebase # everything tracked, minus built-in noise filters +uv run review.py --codebase --include 'backend/**/*.py' # narrow to a directory + extension +uv run review.py --codebase --exclude '**/test_*' # widen then narrow +uv run review.py --codebase --model claude # use Claude as the codebase reviewer +``` + +File selection pipeline: + +1. `git ls-files` → all tracked files (so `.gitignore` already filters `node_modules`, `.venv`, build artifacts). +2. Apply user `--include` globs if any. +3. Apply user `--exclude` globs. +4. Apply built-in defensive excludes: lock files, minified output, common binary extensions (`*.png`, `*.svg`, `*.woff`, etc.), `*/dist/*`, `*/build/*`. +5. Drop individual files larger than 100 KB (logged on stderr — they're usually data fixtures or vendored blobs). + +A bundle cap (700 KB ≈ 175 K tokens) is enforced pre-flight; if the bundle is too large the runner exits with the 10 largest files in the current selection so you can target `--exclude` flags effectively rather than paying for a request that would fail mid-flight on the smaller-context models. -`--model ` overrides the default model. Use `google/gemini-2.5-flash` (OpenRouter) or `gemini-2.5-flash` (Gemini API) for ~3× faster reviews with some quality loss. +Output is the same severity-tagged per-file findings shape as diff mode. The **architectural-summary output shape** (high-level "patterns / structure / smells" section preceding the per-file findings) is an explicit TODO; the trade-offs (hallucination risk on architectural takes, less actionable output, token-budget contention) are documented in the runbook under "Future modes." ## Output format diff --git a/commands/codebase-review.toml b/commands/codebase-review.toml new file mode 100644 index 0000000..0b8de2f --- /dev/null +++ b/commands/codebase-review.toml @@ -0,0 +1,44 @@ +description = "Reviews the whole tracked codebase (or a filtered subset) as a single bundle" +prompt = """ + + **Codebase**: see the bundle below. Each file is delimited by a line of the exact form `======== FILE: ========`. Treat the content between two delimiters as the file's contents; line numbers are 1-indexed within each file, starting at the line immediately following the delimiter. + + + + + +Activate the `code-review-codebase` skill for persona, objective, instructions and critical constraints. Then follow the exact structure and rules in the `` section. + + + +The output **MUST** be clean, concise, and structured exactly as follows. + +**If no issues are found:** + +# Codebase review summary: [Single sentence high-level take on the codebase]. +No issues found. Code looks clean. + +**If issues are found:** + +# Codebase review summary: [Single sentence high-level take on the codebase]. +[Optional 1-2 sentence general feedback for the whole codebase, e.g. a recurring pattern that does not fit a single file.] + +## File: path/to/file/one +### L: [] Single sentence summary of the issue. + +More details about the issue, including why it is an issue (e.g., "This could lead to a null pointer exception"). + +Suggested change: +``` + +``` + +### L: [MEDIUM] Summary of the next problem. +More details about this problem, including where else it occurs if applicable (e.g., "Also seen at backend/foo.py L18 and backend/bar.py L42."). + +## File: path/to/file/two +### L: [HIGH] Summary of the issue in the next file. +Details... + +""" diff --git a/docs/llm-code-review-runbook.md b/docs/llm-code-review-runbook.md index 8547efc..4503f30 100644 --- a/docs/llm-code-review-runbook.md +++ b/docs/llm-code-review-runbook.md @@ -42,14 +42,15 @@ uv run review.py --pr 42 The runner reads `.env` from its own directory — configure once, invoke from anywhere. -### Diff modes (mutually exclusive) +### Source modes (mutually exclusive) -| Flag | Diff scope | Use when | -|----------------------|-------------------------------------------------|-----------------------------------------| -| *(none)* | merge-base against `origin/HEAD` | quick check on current branch | -| `--base origin/main` | two-dot diff vs ref, **includes working tree** | iterating before commit | -| `--pr ` | `gh pr diff N` (requires `gh auth login`) | reviewing an existing PR | -| `--staged` | staged-only | pre-commit hook style | +| Flag | Source scope | Use when | +|----------------------|----------------------------------------------------------------|-----------------------------------------| +| *(none)* | diff: merge-base against `origin/HEAD` | quick check on current branch | +| `--base origin/main` | diff: two-dot diff vs ref, **includes working tree** | iterating before commit | +| `--pr ` | diff: `gh pr diff N` (requires `gh auth login`) | reviewing an existing PR | +| `--staged` | diff: staged-only | pre-commit hook style | +| `--codebase` | whole codebase: `git ls-files` bundled (filtered); see below | auditing an unfamiliar repo | ### Providers @@ -60,7 +61,38 @@ The runner reads `.env` from its own directory — configure once, invoke from a \* default -`--model ` overrides the default. The `flash` variant is ~3× faster than `pro` with some quality loss — use during heavy iteration, switch to `pro` for the final pass. +### Model selection + +`--model ` overrides the default. The runner has a curated alias table for OpenRouter so common reviewers don't require typing the full vendor-prefixed slug: + +| Alias | Resolves to | Notes | +|---|---|---| +| `pro` / `gemini-pro` | `google/gemini-2.5-pro` | Current default. | +| `flash` / `gemini-flash` | `google/gemini-2.5-flash` | ~3× faster than `pro` with some quality loss — use during heavy iteration, switch to `pro` for the final pass. | +| `claude` / `claude-sonnet` | `anthropic/claude-sonnet-4.5` | Great as a second-opinion reviewer alongside a Gemini round. | +| `claude-opus` | `anthropic/claude-opus-4.5` | Larger model; slower and pricier. | +| `gpt` | `openai/gpt-5` | Independent third opinion. | +| `gpt-mini` | `openai/gpt-5-mini` | Cheaper / faster GPT. | +| `deepseek` | `deepseek/deepseek-chat-v3.1` | Cheap, surprisingly strong on code review. | + +Aliases work only under `--provider openrouter`. Passing an alias with `--provider gemini` is a category error (the Gemini API direct path takes bare Gemini model names only) and the runner exits with a clear message. Raw slugs always pass through unchanged, so newer models that haven't earned an alias yet still work via `--model /`. + +### Whole-codebase mode (`--codebase`) + +For situations that diff review can't help with — auditing a repo you just inherited, finding bugs in code none of your PRs have touched — `--codebase` bundles every tracked file (filtered) and reviews them as a single payload. + +```bash +uv run review.py --codebase # all tracked files, minus built-in noise +uv run review.py --codebase --include 'backend/**/*.py' # narrow to a directory + extension +uv run review.py --codebase --exclude '**/test_*' # widen then narrow +uv run review.py --codebase --model claude # use Claude as the codebase reviewer +``` + +Selection pipeline: `git ls-files` → user `--include` (if any) → user `--exclude` → built-in defensive excludes (lock files, minified bundles, binary asset extensions, `*/dist/*`, `*/build/*`) → drop individual files >100 KB (logged on stderr). + +Pre-flight bundle cap is 700 K chars (~175 K tokens — conservative against both Gemini 2.5 Pro's 1 M context and Claude Sonnet 4.5's 200 K context). If the bundle exceeds the cap, the runner exits with the 10 largest files in the current selection so you can target `--exclude` effectively rather than paying for a request that would fail mid-flight. + +Output is the same severity-tagged per-file findings format as diff mode — same accept/decline heuristics apply. --- @@ -123,6 +155,30 @@ This is the central operational rule. Without it, the loop churns on the same fi 5. **`tee` to a file.** When output is large, pipe to `tee /tmp/review.md` so you can re-read findings without re-invoking the tool. Saves context budget on subsequent steps. +6. **Codebase-mode bundle cap.** `--codebase` enforces a 700 K-char (~175 K-token) pre-flight cap on the concatenated bundle. If you hit it, the runner exits with the 10 largest files in the current selection — use those to target `--exclude` flags. Common offenders: vendored fixture JSON, committed schema dumps, test data files. + +--- + +## Future modes (TODO) + +Two extensions deferred to v2; both have explicit design notes in this section so a future maintainer or LLM agent picking up the project knows the trade-offs already considered. + +### Architectural-summary output shape (`--summary`) + +A proposed flag that would prepend a high-level "patterns / structure / smells" section to the per-file findings produced by `--codebase`. Useful as orientation on a new-to-you codebase ("here's what this repo is, and here's the shape of its problems"). + +**Why deferred:** the per-file findings shape that ships today is safer because: + +1. **Lower hallucination risk.** Line-level findings either match the code or they don't — directly verifiable. Architectural takes require deep context the model doesn't reliably have, and the model will produce one regardless of whether the codebase actually has the problem it describes. +2. **More actionable.** Per-file findings translate directly to edits. Architectural observations require human translation, and often the "fix" isn't a code change but a design decision. +3. **Cheaper token-wise.** A serious architectural section costs 1–2 K output tokens that would otherwise go to concrete findings. + +Implementation sketch when the time comes: a separate `--summary` flag (codebase-mode-only) plus a tweak to `commands/codebase-review.toml` to ask for a leading architectural section. The skill prompt likely needs an extra severity bucket (`OBSERVATION`?) or explicit framing that the architectural section is exempt from the "demonstrable bug or improvement" requirement that gates the per-file findings. + +### Per-file iteration + +If a codebase legitimately exceeds the bundle cap and `--include` filtering would lose too much context, an alternative is one model call per file, aggregating findings client-side. Cheaper per call but more total calls; loses cross-file context the bundle approach preserves. Not in scope until a real user hits the cap on a project they can't reasonably narrow. + --- ## When to also call `/gemini review` on GitHub diff --git a/review.py b/review.py index 3f16bc9..a1f6ed3 100644 --- a/review.py +++ b/review.py @@ -3,14 +3,14 @@ This fork keeps the upstream `skills/code-review-commons/SKILL.md` and `commands/code-review.toml` prompts intact (Apache-2.0, unmodified) and adds a -thin Python runner that sends them to a Gemini model via one of two providers -selectable at the command line: +thin Python runner that sends them to a Gemini-or-other-model via one of two +providers selectable at the command line: --provider openrouter (default) POSTs to OpenRouter's OpenAI-compatible chat-completions endpoint (https://openrouter.ai/api/v1/chat/completions). Requires - `OPENROUTER_API_KEY`. Good if you already have an OpenRouter account or - want one bill across multiple providers. + `OPENROUTER_API_KEY`. Good if you want to mix models from different + vendors (Gemini, Claude, GPT, DeepSeek) without separate API keys. --provider gemini POSTs to Google AI Studio's `generateContent` endpoint directly @@ -18,19 +18,23 @@ `GEMINI_API_KEY`. Slightly lower latency (one less hop) and uses the same key the GitHub bot uses on the backend. -Both paths send the same system + user prompts (loaded verbatim from the -upstream skill / command files) and the same `gemini-2.5-pro` model by -default, so the review output is materially equivalent. The behavior matches -the GitHub `/gemini review` bot, just without the GitHub webhook -> Google -job-queue round-trip that adds 5-15 minutes of wall time. +Both paths default to ``gemini-2.5-pro``. `--model ` overrides; the +``--provider openrouter`` path also accepts named aliases (see +``MODEL_ALIASES`` below) so you can write ``--model claude`` instead of +``--model anthropic/claude-sonnet-4.5``. + +Diff modes (default) review a git diff: -Usage: uv run review.py # diff current branch vs origin/HEAD merge-base uv run review.py --base main # diff vs an explicit base ref uv run review.py --pr 6 # review a GitHub PR (uses `gh pr diff`) uv run review.py --staged # staged changes only - uv run review.py --provider gemini # use Gemini API directly - uv run review.py --model gemini-2.5-flash # faster, somewhat lower quality + +Whole-codebase mode reviews tracked files (filtered): + + uv run review.py --codebase + uv run review.py --codebase --include 'backend/**/*.py' + uv run review.py --codebase --exclude '**/test_*' The .env loaded from this script's directory (not CWD) -- copy `.env.example` to `.env` once at the runner location and invoke from any project folder. @@ -41,6 +45,7 @@ from __future__ import annotations import argparse +import fnmatch import os import subprocess import sys @@ -67,7 +72,43 @@ "https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent" ) HTTP_TIMEOUT = 300.0 # Gemini 2.5 Pro on a ~5K-line diff lands ~30-60s; pad - # generously for very large diffs. + # generously for very large diffs and whole-codebase + # bundles. + +# Named aliases for OpenRouter model slugs. The OpenRouter URL form +# ``vendor/model`` is awkward to type; an alias collapses it to a short +# name (``claude``, ``gpt``, ``deepseek``...) for ergonomics. Aliases are +# resolved before the call is made; the resolved slug is what shows up +# in stderr "Reviewing ... with ..." and what OpenRouter actually +# dispatches to. +# +# Aliases apply only to ``--provider openrouter``. The Gemini API direct +# path takes bare Gemini model names (no vendor prefix) so a slug like +# ``anthropic/claude-sonnet-4.5`` is a category error for that provider; +# we error out with a clear message instead of silently sending an +# invalid model name to Google's API. +# +# Keep this table small and curated. Adding every model on OpenRouter is +# not the goal -- users who want exotic models can pass the raw slug via +# ``--model``. The aliases here are the models that earned their place +# as a "second-opinion reviewer" in practice. +MODEL_ALIASES: dict[str, str] = { + # Gemini family (OpenRouter route to the same models the + # ``--provider gemini`` direct path serves). + "pro": "google/gemini-2.5-pro", + "gemini-pro": "google/gemini-2.5-pro", + "flash": "google/gemini-2.5-flash", + "gemini-flash": "google/gemini-2.5-flash", + # Anthropic / Claude family. + "claude": "anthropic/claude-sonnet-4.5", + "claude-sonnet": "anthropic/claude-sonnet-4.5", + "claude-opus": "anthropic/claude-opus-4.5", + # OpenAI / GPT family. + "gpt": "openai/gpt-5", + "gpt-mini": "openai/gpt-5-mini", + # DeepSeek -- cheap, surprisingly strong at code review. + "deepseek": "deepseek/deepseek-chat-v3.1", +} # Upstream `code-review.toml` instructs the model to *call* git itself via a # tool. We have no tool layer; instead we extract the diff up front and @@ -80,13 +121,76 @@ "tool to retrieve the changes." ) +# Substitution sentinel for the codebase-review command template. The +# fork-added ``commands/codebase-review.toml`` puts this literal token +# where the codebase bundle goes; if it's missing (e.g. a future rewrite +# of the command template) the bundle is appended unconditionally so the +# model still has the content. +CODEBASE_PLACEHOLDER = "" + +# Whole-codebase mode constants. +# +# ``MAX_BUNDLE_CHARS`` is the hard pre-flight cap on the concatenated +# codebase bundle. 700K chars is ~175K tokens at the standard 4-chars- +# per-token estimate, which is conservative against both Gemini 2.5 Pro +# (1M-token context) and Claude Sonnet 4.5 (200K-token context). Cap +# means the runner errors out before paying for a request that would +# fail mid-flight on the smaller-context model. +MAX_BUNDLE_CHARS = 700_000 + +# Individual-file size cap: skip files larger than this when bundling. +# Most files this large are data fixtures, vendored blobs, or generated +# artifacts that ``git ls-files`` happens to track but that don't +# benefit from a code review. Skipped paths are logged on stderr so the +# user can ``--include`` them back if a real source file got caught. +MAX_INDIVIDUAL_FILE_BYTES = 100_000 + +# Defensive built-in exclusions applied after the user's ``--include`` +# and ``--exclude`` filters. ``git ls-files`` already respects +# ``.gitignore``, so vendored dirs (``node_modules``, ``.venv``, etc.) +# are usually already absent. These patterns catch the residue: +# lock files, minified output, common binary / asset extensions. Match +# is case-sensitive (file extensions in practice are lowercase). +BUILTIN_CODEBASE_EXCLUDES: tuple[str, ...] = ( + # Lock files for various package managers. + "*.lock", + "package-lock.json", + "yarn.lock", + "uv.lock", + "Cargo.lock", + "poetry.lock", + "Pipfile.lock", + # Minified / generated bundles. + "*.min.js", + "*.min.css", + # Build outputs occasionally tracked by mistake. + "*/dist/*", + "*/build/*", + # Binary / asset extensions: skip outright (model can't review). + "*.png", "*.jpg", "*.jpeg", "*.gif", "*.svg", "*.ico", "*.webp", + "*.woff", "*.woff2", "*.ttf", "*.eot", + "*.pdf", "*.zip", "*.tar", "*.gz", + "*.mp3", "*.mp4", "*.mov", "*.avi", +) + +# Per-file delimiter for whole-codebase bundles. The shape is chosen so +# the model can pattern-match file boundaries reliably and quote the +# exact path back in its per-file findings. +FILE_DELIMITER_TEMPLATE = "======== FILE: {path} ========" -def load_skill() -> str: - """Return the full `code-review-commons` SKILL.md content (with YAML - frontmatter). The model treats the markdown as a system prompt; including - the frontmatter is harmless and preserves the exact upstream behavior. + +def load_skill(name: str = "code-review-commons") -> str: + """Return the SKILL.md content for the named skill directory. + + Defaults to the upstream ``code-review-commons`` skill (the + diff-review one). Whole-codebase mode passes ``code-review-codebase`` + (fork-added) which differs only in the Critical Constraints section: + it permits commenting on any line in any file in the bundle, instead + of the upstream skill's hardcoded "only lines beginning with +/-" + rule that's correct for diff review but forbids all comments on + whole-file input. """ - path = ROOT / "skills" / "code-review-commons" / "SKILL.md" + path = ROOT / "skills" / name / "SKILL.md" return path.read_text(encoding="utf-8") @@ -97,12 +201,14 @@ def load_command_prompt(name: str) -> str: return data["prompt"] -def build_prompts(diff: str) -> tuple[str, str]: - """Construct ``(system_prompt, user_prompt)`` from the upstream skill / - command files, with the diff substituted into the tool-call placeholder. - Same pair is used regardless of provider so review behavior matches. +def build_diff_prompts(diff: str) -> tuple[str, str]: + """Construct ``(system, user)`` prompts for diff-mode review. + + Loads the upstream ``code-review-commons`` skill (system prompt) and + the upstream ``code-review`` command (user prompt template), then + substitutes the diff into the command's tool-call placeholder. """ - system_prompt = load_skill() + system_prompt = load_skill("code-review-commons") user_template = load_command_prompt("code-review") diff_block = f"**Code Changes**:\n\n```diff\n{diff}\n```" user_prompt = user_template.replace(TOOL_CALL_INSTRUCTION, diff_block) @@ -113,6 +219,36 @@ def build_prompts(diff: str) -> tuple[str, str]: return system_prompt, user_prompt +def build_codebase_prompts(bundle: str) -> tuple[str, str]: + """Construct ``(system, user)`` prompts for whole-codebase review. + + Uses the fork-added ``code-review-codebase`` skill and + ``codebase-review`` command. The skill differs from the upstream + ``code-review-commons`` only in the Critical Constraints section: + it permits commenting on any line in any file in the bundle (the + upstream rule "comment only on +/- lines" forbids all comments on + whole-file content, which is correct for diff review but wrong for + codebase review). + + TODO: v2 -- architectural-summary mode (proposed flag ``--summary``) + would prepend a leading "patterns / structure / smells" section to + the per-file findings. Trade-offs (hallucination risk on + architectural takes, less actionable output, token-budget + contention) documented in ``docs/llm-code-review-runbook.md`` under + "Future modes". The current codebase prompt produces per-file + findings only. + """ + system_prompt = load_skill("code-review-codebase") + user_template = load_command_prompt("codebase-review") + bundle_block = f"**Codebase**:\n\n{bundle}\n" + if CODEBASE_PLACEHOLDER in user_template: + user_prompt = user_template.replace(CODEBASE_PLACEHOLDER, bundle_block) + else: + # Defensive: same shape as ``build_diff_prompts`` defensive append. + user_prompt = f"{user_template}\n\n{bundle_block}" + return system_prompt, user_prompt + + def _run_git(args: list[str]) -> str: """Run a git command in the current working directory and return stdout. Surfaces non-zero exits with the command and stderr so the user sees why. @@ -170,26 +306,120 @@ def pr_diff(pr_number: int) -> str: return result.stdout +def _glob_match(path: Path, patterns: tuple[str, ...] | list[str]) -> bool: + """Return True if ``path`` matches any of the glob ``patterns``. + + Each pattern is tested against both the full POSIX path + (e.g. ``backend/api/views.py``) and the basename (e.g. ``views.py``) + so a pattern like ``test_*.py`` catches test files at any depth + rather than only at the repo root. fnmatch treats ``*`` as matching + everything including ``/``, so ``*.py`` matches all Python files + regardless of nesting; this is intentional and documented. + """ + posix = path.as_posix() + name = path.name + return any( + fnmatch.fnmatch(posix, pat) or fnmatch.fnmatch(name, pat) + for pat in patterns + ) + + +def gather_codebase_files( + includes: list[str], excludes: list[str] +) -> list[Path]: + """Return the list of files to bundle for whole-codebase review. + + Pipeline (in order): + 1. ``git ls-files`` -> all tracked files (so ``.gitignore`` already + excludes ``node_modules``, ``.venv``, build artifacts, etc.). + 2. Apply ``--include`` globs if any; otherwise keep all files. + 3. Apply user-supplied ``--exclude`` globs. + 4. Apply ``BUILTIN_CODEBASE_EXCLUDES`` (lock files, asset + extensions, etc.). + 5. Drop files larger than ``MAX_INDIVIDUAL_FILE_BYTES``; log to + stderr so the user can ``--include`` them back if needed. + + Returns paths relative to the current working directory (which is + expected to be the project being reviewed, since we run ``git + ls-files`` against CWD). + """ + output = _run_git(["git", "ls-files"]) + paths = [Path(line) for line in output.splitlines() if line] + + # Step 2: user --include filter. + if includes: + paths = [p for p in paths if _glob_match(p, includes)] + + # Step 3: user --exclude filter. + if excludes: + paths = [p for p in paths if not _glob_match(p, excludes)] + + # Step 4: built-in defensive excludes. + paths = [p for p in paths if not _glob_match(p, BUILTIN_CODEBASE_EXCLUDES)] + + # Step 5: per-file size cap. + kept: list[Path] = [] + for p in paths: + try: + size = p.stat().st_size + except OSError: + # File listed by ``git ls-files`` but missing on disk + # (typo, symlink to nowhere, race). Skip silently rather + # than crash; the user can re-run if a file was meant to + # be present. + continue + if size > MAX_INDIVIDUAL_FILE_BYTES: + sys.stderr.write( + f"skip (>{MAX_INDIVIDUAL_FILE_BYTES // 1024} KB): " + f"{p.as_posix()} ({size:,} bytes)\n" + ) + continue + kept.append(p) + + return kept + + +def bundle_codebase(file_paths: list[Path]) -> str: + """Concatenate the given files into a single delimited bundle. + + Encoding errors are replaced silently (``errors="replace"``) so a + non-UTF8 byte sequence in a tracked file doesn't crash the runner; + the model sees a replacement character but the rest of the file is + still reviewable. In practice this only triggers on files that + should have been excluded by the asset-extension filter -- a true + source file with a stray non-UTF8 byte is rare. + """ + parts: list[str] = [] + for path in file_paths: + content = path.read_text(encoding="utf-8", errors="replace") + delimiter = FILE_DELIMITER_TEMPLATE.format(path=path.as_posix()) + parts.append(f"{delimiter}\n{content}") + return "\n\n".join(parts) + + def call_openrouter( *, - diff: str, + system_prompt: str, + user_prompt: str, model: str, api_key: str, referer: str, title: str, ) -> str: """POST to OpenRouter's chat-completions endpoint and return the review - markdown. Raises on transport or HTTP errors so the caller surfaces them. + markdown. Caller builds the prompts so this function stays mode-agnostic + (diff review and codebase review share the same wire path). """ - system_prompt, user_prompt = build_prompts(diff) payload = { "model": model, "messages": [ {"role": "system", "content": system_prompt}, {"role": "user", "content": user_prompt}, ], - # The upstream prompt is highly structured; we want minimal sampling - # noise so suggested-change blocks come back as exact diffs. + # The upstream prompts are highly structured; we want minimal + # sampling noise so suggested-change blocks come back as exact + # diffs and severity tags stay in the canonical {CRITICAL, HIGH, + # MEDIUM, LOW} set. "temperature": 0.2, } headers = { @@ -223,15 +453,15 @@ def call_openrouter( def call_gemini( *, - diff: str, + system_prompt: str, + user_prompt: str, model: str, api_key: str, ) -> str: """POST to Google AI Studio's ``generateContent`` endpoint directly. - Returns the review markdown. The request shape is camelCase and uses a - ``systemInstruction`` field rather than a system-role message. + Caller builds the prompts (same as ``call_openrouter``) so the wire + path is mode-agnostic. """ - system_prompt, user_prompt = build_prompts(diff) payload = { "contents": [ {"role": "user", "parts": [{"text": user_prompt}]}, @@ -274,6 +504,35 @@ def call_gemini( sys.exit(1) +def _resolve_model(args: argparse.Namespace) -> str: + """Resolve the final model slug from CLI flag, env var, alias table, + or provider default. Errors out if an alias is used with the wrong + provider (the Gemini API direct path takes bare Gemini model names + only -- a non-Gemini alias like ``claude`` is a category error there). + """ + if args.model is not None: + model = args.model + elif args.provider == "openrouter": + model = os.getenv("OPENROUTER_MODEL", DEFAULT_MODEL_BY_PROVIDER["openrouter"]) + else: # gemini + model = os.getenv("GEMINI_MODEL", DEFAULT_MODEL_BY_PROVIDER["gemini"]) + + if model in MODEL_ALIASES: + if args.provider != "openrouter": + sys.stderr.write( + f"ERROR: model alias `{model}` is only valid with " + f"--provider openrouter. The Gemini API direct path takes " + f"bare Gemini model names only (e.g. gemini-2.5-pro, " + f"gemini-2.5-flash). Either pass --provider openrouter to " + f"use this alias, or pass --model gemini-2.5-pro / " + f"--model gemini-2.5-flash for the direct path.\n" + ) + sys.exit(2) + model = MODEL_ALIASES[model] + + return model + + def main() -> None: # Load env from this script's directory so `.env` is configured once at # the runner location rather than in every project we review from. @@ -282,8 +541,8 @@ def main() -> None: parser = argparse.ArgumentParser( description=( "Standalone code-review runner using the Gemini CLI " - "code-review extension prompts. Sends them to a Gemini model " - "via OpenRouter or the Gemini API directly." + "code-review extension prompts. Sends them to a Gemini-or-" + "other model via OpenRouter or the Gemini API directly." ) ) source = parser.add_mutually_exclusive_group() @@ -301,6 +560,39 @@ def main() -> None: action="store_true", help="Review staged changes only.", ) + source.add_argument( + "--codebase", + action="store_true", + help=( + "Review the whole tracked codebase via ``git ls-files`` " + "instead of a diff. Narrow with --include / --exclude. " + "Output shape is per-file findings (severity-tagged) -- " + "the architectural-summary shape is a v2 TODO documented " + "in the runbook's 'Future modes' section." + ), + ) + parser.add_argument( + "--include", + action="append", + default=None, + metavar="GLOB", + help=( + "Glob to include in --codebase mode (e.g. " + "``backend/**/*.py``). Can be passed multiple times. " + "Ignored outside --codebase." + ), + ) + parser.add_argument( + "--exclude", + action="append", + default=None, + metavar="GLOB", + help=( + "Glob to exclude in --codebase mode (e.g. " + "``**/test_*.py``). Can be passed multiple times. " + "Ignored outside --codebase." + ), + ) parser.add_argument( "--provider", choices=PROVIDERS, @@ -317,23 +609,17 @@ def main() -> None: "--model", default=None, help=( - "Model slug. Defaults to the provider-appropriate " - "``gemini-2.5-pro`` variant -- ``google/gemini-2.5-pro`` for " - "OpenRouter, ``gemini-2.5-pro`` for the Gemini API. Override " - "with $OPENROUTER_MODEL or $GEMINI_MODEL respectively. " - "``gemini-2.5-flash`` is ~3x faster with some quality loss." + "Model slug or alias. Defaults to the provider-appropriate " + "``gemini-2.5-pro`` variant. Override with $OPENROUTER_MODEL " + "or $GEMINI_MODEL respectively. Aliases (--provider " + "openrouter only): pro, flash, claude, claude-opus, gpt, " + "gpt-mini, deepseek. ``gemini-2.5-flash`` / ``flash`` is " + "~3x faster with some quality loss." ), ) args = parser.parse_args() - # Resolve the model: explicit ``--model`` wins; otherwise a provider- - # specific env var; otherwise the provider default. - if args.model is not None: - model = args.model - elif args.provider == "openrouter": - model = os.getenv("OPENROUTER_MODEL", DEFAULT_MODEL_BY_PROVIDER["openrouter"]) - else: # gemini - model = os.getenv("GEMINI_MODEL", DEFAULT_MODEL_BY_PROVIDER["gemini"]) + model = _resolve_model(args) # Resolve and validate the API key for the chosen provider before # touching git / GitHub so the user fails fast on configuration errors. @@ -357,20 +643,62 @@ def main() -> None: ) sys.exit(2) - if args.pr: - diff = pr_diff(args.pr) + # Build the payload for the chosen mode. ``--include`` / ``--exclude`` + # are codebase-mode-only -- warn if they show up alongside a diff + # mode rather than silently dropping them. + if args.codebase: + files = gather_codebase_files(args.include or [], args.exclude or []) + if not files: + sys.stderr.write( + "No files matched after --include / --exclude / built-in " + "filters. Nothing to review.\n" + ) + sys.exit(0) + bundle = bundle_codebase(files) + if len(bundle) > MAX_BUNDLE_CHARS: + # Show the 10 largest files so the user can target + # ``--exclude`` flags effectively rather than guessing. + sized = sorted( + ((p, p.stat().st_size) for p in files), + key=lambda x: x[1], + reverse=True, + ) + sys.stderr.write( + f"ERROR: codebase bundle is {len(bundle):,} chars " + f"(limit {MAX_BUNDLE_CHARS:,}). Narrow with --include " + "or --exclude. Largest files in current selection:\n" + ) + for path, size in sized[:10]: + sys.stderr.write( + f" {size:>10,} bytes {path.as_posix()}\n" + ) + sys.exit(1) + sys.stderr.write( + f"Reviewing {len(files)} file(s) ({len(bundle):,} chars) " + f"with `{model}` via {args.provider}...\n" + ) + system_prompt, user_prompt = build_codebase_prompts(bundle) else: - diff = git_diff_local(args.base, args.staged) - - if not diff.strip(): - sys.stderr.write("No diff found. Nothing to review.\n") - sys.exit(0) - - sys.stderr.write( - f"Reviewing {len(diff):,}-char diff with `{model}` via " - f"{args.provider}...\n" - ) + if args.include or args.exclude: + sys.stderr.write( + "WARN: --include / --exclude are ignored outside " + "--codebase mode.\n" + ) + if args.pr: + diff = pr_diff(args.pr) + else: + diff = git_diff_local(args.base, args.staged) + if not diff.strip(): + sys.stderr.write("No diff found. Nothing to review.\n") + sys.exit(0) + sys.stderr.write( + f"Reviewing {len(diff):,}-char diff with `{model}` via " + f"{args.provider}...\n" + ) + system_prompt, user_prompt = build_diff_prompts(diff) + # Wire-format dispatch. Both providers take the same (system, user) + # prompt pair; only the request shape differs. if args.provider == "openrouter": referer = os.getenv( "OPENROUTER_HTTP_REFERER", @@ -378,14 +706,20 @@ def main() -> None: ) title = os.getenv("OPENROUTER_X_TITLE", "OpenRouter Code Review") output = call_openrouter( - diff=diff, + system_prompt=system_prompt, + user_prompt=user_prompt, model=model, api_key=api_key, referer=referer, title=title, ) else: # gemini - output = call_gemini(diff=diff, model=model, api_key=api_key) + output = call_gemini( + system_prompt=system_prompt, + user_prompt=user_prompt, + model=model, + api_key=api_key, + ) print(output) diff --git a/skills/code-review-codebase/SKILL.md b/skills/code-review-codebase/SKILL.md new file mode 100644 index 0000000..ab6422f --- /dev/null +++ b/skills/code-review-codebase/SKILL.md @@ -0,0 +1,63 @@ +--- +name: code-review-codebase +description: Guidelines, persona, and critical constraints for performing whole-codebase code reviews on a bundle of files (not a diff). Use this skill when performing a /codebase-review command. +user-invokable: false +--- + +# Code Review (Whole Codebase) + +## PERSONA + +You are a very experienced **Principal Software Engineer** and a meticulous **Code Review Architect**. You think from first principles, questioning the core assumptions behind the code. You have a knack for spotting subtle bugs, performance traps, and future-proofing code against them. + +## OBJECTIVE + +Your task is to deeply understand the **intent and structure** of a bundle of source files (the entire tracked codebase, or a filtered subset) and perform a **thorough, actionable, and objective** review. +Your primary goal is to **identify potential bugs, security vulnerabilities, performance bottlenecks, and clarity issues** in the code as it stands today — without reference to a diff. +Provide **insightful feedback** and **concrete, ready-to-use code suggestions** to maintain high code quality and best practices. Prioritize substantive feedback on logic, correctness, and maintainability over stylistic nits. + +## Bundle format + +The user prompt contains the codebase as a series of files concatenated together. Each file begins with a delimiter of the exact form: + +``` +======== FILE: ======== +``` + +The lines between two delimiters are the file's contents. Line numbers are **1-indexed within each file**, starting at the line immediately following the delimiter. When you reference a line, the line number is the position in that specific file's content, not a position in the overall bundle. + +## Instructions + +1. **Summarize the codebase**: Before looking for issues, articulate in one or two sentences what the codebase appears to do and how it is structured. Use this understanding to frame the review. +2. **Establish context** by reading multiple files together. Cross-file relationships (an importer and its importee, a producer and its consumer, a type and its usage) are often where the real bugs are. +3. **Prioritize Analysis Focus**: Concentrate your deepest analysis on application code (non-test files). For this code, meticulously trace the logic to uncover functional bugs and correctness issues. Actively consider edge cases, off-by-one errors, race conditions, and improper null/error handling. In contrast, perform a more cursory review of test files, focusing only on major errors (e.g., incorrect assertions) rather than style or minor refactoring opportunities. +4. **Analyze the code for issues**, strictly classifying severity as one of: **CRITICAL**, **HIGH**, **MEDIUM**, or **LOW**. + +## Critical Constraints + +**STRICTLY follow these rules for review comments:** + +* **Location:** You **MAY** comment on any line in any file in the provided bundle. Reference each comment by the file path (as shown in the `======== FILE: ========` delimiter) and the 1-indexed line number within that file. Pay close attention to file boundaries — a comment must reference the file in which the code actually appears, not an adjacent file in the bundle. +* **Relevance:** You **MUST** only add a review comment if there is a demonstrable **BUG**, **ISSUE**, or a significant **OPPORTUNITY FOR IMPROVEMENT**. +* **Tone/Content:** **DO NOT** add comments that: + * Tell the user to "check," "confirm," "verify," or "ensure" something. + * Explain what the code does or validate its purpose. + * Explain the code to the author (they are assumed to know their own code). + * Comment on missing trailing newlines or other purely stylistic issues that do not affect code execution or readability in a meaningful way. +* **Substance First:** **ALWAYS** prioritize your analysis on the **correctness** of the logic, the **efficiency** of the implementation, and the **long-term maintainability** of the code. +* **Technical Detail:** + * Pay **meticulous attention to line numbers and indentation** in code suggestions; they **must** be correct and match the surrounding code in the referenced file. + * **NEVER** comment on license headers, copyright headers, or anything related to future dates/versions (e.g., "this date is in the future"). +* **Formatting/Structure:** + * Keep the **codebase summary** concise (aim for a single sentence). + * Keep **comment bodies concise** and focused on a single issue. + * If a similar issue exists in **multiple locations** (whether within one file or across several), state it once and list the other locations instead of repeating the full comment. + * **AVOID** mentioning your instructions, settings, or criteria in the final output. + +**Severity Guidelines (for consistent classification):** + +* **Functional correctness bugs that lead to behavior contrary to the code's apparent intent should generally be classified as HIGH or CRITICAL.** +* **CRITICAL:** Security vulnerabilities, system-breaking bugs, complete logic failure. +* **HIGH:** Performance bottlenecks (e.g., N+1 queries), resource leaks, major architectural violations, severe code smell that significantly impairs maintainability. +* **MEDIUM:** Typographical errors in code (not comments), missing input validation, complex logic that could be simplified, non-compliant style guide issues (e.g., wrong naming convention). +* **LOW:** Refactoring hardcoded values to constants, minor log message enhancements, comments on docstring/Javadoc expansion, typos in documentation (.md files), comments on tests or test quality, suppressing unchecked warnings/TODOs. From 5f229309f7a55eb8ca61b54c37c429349c530ba5 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 10:40:12 -0700 Subject: [PATCH 09/19] Add decimal-KB size formatter; fix skip-message unit mismatch The skip-message previously read ``skip (>97 KB): plan.md (203,107 bytes)`` because the formatting used ``MAX_INDIVIDUAL_FILE_BYTES // 1024`` (binary KiB) while the constant itself is named in decimal ``100_000``. User-facing docs and the constant both speak in decimal KB, so the message was a unit-mismatch the user would have to mentally reconcile every time they hit the cap. Adds a single ``_format_size(n_bytes)`` helper that formats with decimal-prefix units the way OS file managers do (1000-based KB up to 1 MB, then ``N.x MB``). One source of truth for size display means the messages stay sensible if the constants ever change scale. Applied to: - Per-file skip message: ``skip (>100 KB): plan.md (203 KB)`` instead of ``skip (>97 KB): plan.md (203,107 bytes)``. - Largest-files list in the oversize-bundle error: ``86 KB path/...`` instead of ``86,157 bytes path/...``. Easier to scan and budget against the cap. Left unchanged: the bundle-size error line itself, which still reads ``codebase bundle is 1,000,710 chars (limit 700,000)``. That's literally a char count (not a byte count), and exact char counts let the user reason precisely about how much they need to drop with ``--exclude``. Verified end-to-end against the parent project: skip message now reads ``skip (>100 KB): plan.md (203 KB)``; largest-files list reads ``86 KB docs/...`` etc. with right-justified alignment. Exit code 1 preserved. Co-Authored-By: Claude Opus 4.7 (1M context) --- review.py | 26 +++++++++++++++++++++++--- 1 file changed, 23 insertions(+), 3 deletions(-) diff --git a/review.py b/review.py index a1f6ed3..fda519e 100644 --- a/review.py +++ b/review.py @@ -249,6 +249,24 @@ def build_codebase_prompts(bundle: str) -> tuple[str, str]: return system_prompt, user_prompt +def _format_size(n_bytes: int) -> str: + """Format a byte count in decimal-prefix units the way OS file managers do. + + Returns ``" B"`` below 1 KB, ``" KB"`` (1000-based, integer) up to + 1 MB, and ``" MB"`` with one decimal above that. Decimal (1000) + rather than binary (1024) so the displayed value matches what users see + in their file manager and matches the decimal byte constants declared + in this module (``MAX_INDIVIDUAL_FILE_BYTES = 100_000`` reads as + "100 KB"). One source of truth for size display means the messages + stay sensible if the constants ever change scale. + """ + if n_bytes >= 1_000_000: + return f"{n_bytes / 1_000_000:.1f} MB" + if n_bytes >= 1_000: + return f"{n_bytes // 1_000} KB" + return f"{n_bytes} B" + + def _run_git(args: list[str]) -> str: """Run a git command in the current working directory and return stdout. Surfaces non-zero exits with the command and stderr so the user sees why. @@ -370,8 +388,8 @@ def gather_codebase_files( continue if size > MAX_INDIVIDUAL_FILE_BYTES: sys.stderr.write( - f"skip (>{MAX_INDIVIDUAL_FILE_BYTES // 1024} KB): " - f"{p.as_posix()} ({size:,} bytes)\n" + f"skip (>{_format_size(MAX_INDIVIDUAL_FILE_BYTES)}): " + f"{p.as_posix()} ({_format_size(size)})\n" ) continue kept.append(p) @@ -669,8 +687,10 @@ def main() -> None: "or --exclude. Largest files in current selection:\n" ) for path, size in sized[:10]: + # Right-justify the formatted size for visual alignment; + # 10 chars fits "999 KB", "99.9 MB", etc. sys.stderr.write( - f" {size:>10,} bytes {path.as_posix()}\n" + f" {_format_size(size):>10} {path.as_posix()}\n" ) sys.exit(1) sys.stderr.write( From edc37ea8c000dc10788dd2833b88f99e657df6b8 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 10:51:24 -0700 Subject: [PATCH 10/19] README polish: bundle-cap units, codebase output shape, richer Quick start MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Three accuracy / discoverability fixes: 1. Bundle cap unit was wrong. Said "700 KB ≈ 175 K tokens" but the constant is ``MAX_BUNDLE_CHARS = 700_000`` -- 700,000 characters, not bytes. For pure-ASCII source these are roughly equivalent but the README should match what the code measures. Now reads "700,000 chars, ~175 K tokens at the standard 4-chars-per-token estimate" with a note explaining the cap is conservative against both Gemini 2.5 Pro (1 M-token context) and Claude Sonnet 4.5 (200 K-token context) so the same selection works regardless of which ``--model`` the user targets. 2. Output format section only showed the diff-mode template, even though the fork now ships two distinct templates (diff and codebase). Added the codebase output shape side-by-side, with a note clarifying that codebase-mode line numbers are 1-indexed within each file rather than against any synthetic bundle-level line counter. 3. Quick start showed only ``--pr 6``, which under-sells the tool's breadth. Now demonstrates the four most useful invocation shapes on first contact: ``--base origin/main`` for iterative review, ``--pr `` for an existing PR, ``--codebase`` for whole-repo audit, and ``--model claude`` for the alias path. The external-CWD usage is kept but moved below the runner-CWD examples since the runner-CWD shape is what users will copy on their first try. Co-Authored-By: Claude Opus 4.7 (1M context) --- README.md | 46 ++++++++++++++++++++++++++++++++++++---------- 1 file changed, 36 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index a1e82e5..e2ef8f9 100644 --- a/README.md +++ b/README.md @@ -47,13 +47,16 @@ cd local-gemini-code-review cp .env.example .env # edit .env: set OPENROUTER_API_KEY=... or GEMINI_API_KEY=... (or both) -# Review the current branch of whatever project you're in: +# From the runner directory, against the CWD: +cd /path/to/local-gemini-code-review +uv run review.py --base origin/main # iterative review of current branch +uv run review.py --pr 6 # review a specific PR +uv run review.py --codebase # whole tracked codebase (filtered) +uv run review.py --base origin/main --model claude # use Claude instead of Gemini + +# Or invoke from any project directory by pointing at the runner: cd /path/to/my-project uv run --project /path/to/local-gemini-code-review /path/to/local-gemini-code-review/review.py - -# Or invoke from the runner directory against an external CWD: -cd /path/to/local-gemini-code-review -uv run review.py --pr 6 ``` `uv` resolves deps on first run. No global `pip install` required. @@ -128,16 +131,18 @@ File selection pipeline: 4. Apply built-in defensive excludes: lock files, minified output, common binary extensions (`*.png`, `*.svg`, `*.woff`, etc.), `*/dist/*`, `*/build/*`. 5. Drop individual files larger than 100 KB (logged on stderr — they're usually data fixtures or vendored blobs). -A bundle cap (700 KB ≈ 175 K tokens) is enforced pre-flight; if the bundle is too large the runner exits with the 10 largest files in the current selection so you can target `--exclude` flags effectively rather than paying for a request that would fail mid-flight on the smaller-context models. +A bundle cap (700,000 chars, ~175 K tokens at the standard 4-chars-per-token estimate) is enforced pre-flight; if the bundle is too large the runner exits with the 10 largest files in the current selection so you can target `--exclude` flags effectively rather than paying for a request that would fail mid-flight on the smaller-context models. The cap is conservative against both Gemini 2.5 Pro (1 M-token context) and Claude Sonnet 4.5 (200 K-token context), so the same selection works regardless of which model you target with `--model`. -Output is the same severity-tagged per-file findings shape as diff mode. The **architectural-summary output shape** (high-level "patterns / structure / smells" section preceding the per-file findings) is an explicit TODO; the trade-offs (hallucination risk on architectural takes, less actionable output, token-budget contention) are documented in the runbook under "Future modes." +Output is the same severity-tagged per-file findings shape as diff mode (see the **Output format** section below — the diff-mode template applies, with the per-file section anchoring to the bundle's `======== FILE: ========` delimiters instead of a diff). The **architectural-summary output shape** (high-level "patterns / structure / smells" section preceding the per-file findings) is an explicit TODO; the trade-offs (hallucination risk on architectural takes, less actionable output, token-budget contention) are documented in the runbook under "Future modes." ## Output format -Markdown, structured per the upstream `commands/code-review.toml` template: +Markdown, structured per the upstream `commands/code-review.toml` template (diff modes) or the fork-added `commands/codebase-review.toml` template (`--codebase`). Both shapes use the same severity tags `CRITICAL | HIGH | MEDIUM | LOW`. + +**Diff modes (`--base`, `--pr`, `--staged`):** ``` -# Change summary: [one-sentence description] +# Change summary: [one-sentence description of the change] ## File: path/to/file.py ### L: [CRITICAL|HIGH|MEDIUM|LOW] One-sentence issue summary @@ -150,7 +155,28 @@ Suggested change: ``` ``` -When the diff is clean: `No issues found. Code looks clean and ready to merge.` +Clean diff: `No issues found. Code looks clean and ready to merge.` + +**Whole-codebase mode (`--codebase`):** + +``` +# Codebase review summary: [one-sentence high-level take] +[Optional 1-2 sentences of cross-file feedback for recurring patterns] + +## File: path/to/file.py +### L: [CRITICAL|HIGH|MEDIUM|LOW] One-sentence issue summary +More detail about the issue. +(Cross-file recurrences listed by file + line rather than repeating the full comment.) + +Suggested change: +``` + +``` +``` + +Clean codebase: `No issues found. Code looks clean.` + +Line numbers in `--codebase` output are 1-indexed within each individual file (anchored to the `======== FILE: ========` delimiters in the bundle), not against any synthetic line counter across the bundle. ## Operational runbook From 7a44c8fd24f66569b5c2306ef8c1596c5392e669 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 11:18:42 -0700 Subject: [PATCH 11/19] Force UTF-8 stdout/stderr so Windows print() doesn't crash on arrows The model's output regularly contains Unicode characters that cp1252 (the default stdout encoding on Windows) cannot encode -- arrows, em-dashes, smart quotes, mermaid syntax. Symptom: after a successful ~60s model call, the runner crashes on the very last line (``print(output)``) with ``UnicodeEncodeError: 'charmap' codec can't encode character '\u2192'``. The user has already paid for the tokens at that point. Adds ``_ensure_utf8_stdout()`` called at the start of ``main()``. It reconfigures stdout and stderr to UTF-8 with ``errors="replace"`` if they aren't already UTF-8. No-op on macOS/Linux (already UTF-8). ``errors="replace"`` keeps the runner robust even against bytes that aren't valid UTF-8 -- worst case the user sees a replacement char rather than a crash. Caught while iterating PR #8 of the parent project: the diff included a mermaid arrow in AGENT_NOTES.md and the model's response echoed it verbatim. Co-Authored-By: Claude Opus 4.7 (1M context) --- review.py | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/review.py b/review.py index fda519e..3703099 100644 --- a/review.py +++ b/review.py @@ -551,7 +551,33 @@ def _resolve_model(args: argparse.Namespace) -> str: return model +def _ensure_utf8_stdout() -> None: + """Reconfigure stdout/stderr to UTF-8 if they aren't already. + + The model's output regularly contains Unicode characters (``->`` rendered + as ``\\u2192``, em-dashes, smart quotes, mermaid arrows) that cp1252 -- the + default stdout encoding on Windows -- cannot encode. Without this, the + very last line of main(), ``print(output)``, crashes with + ``UnicodeEncodeError`` after the model call has already succeeded and the + user has already paid for the tokens. Forcing UTF-8 with + ``errors="replace"`` keeps the runner robust on Windows without changing + anything on macOS/Linux (which are already UTF-8 by default). + """ + for stream in (sys.stdout, sys.stderr): + if hasattr(stream, "reconfigure"): + try: + if (stream.encoding or "").lower() != "utf-8": + stream.reconfigure(encoding="utf-8", errors="replace") + except (AttributeError, ValueError): + # Best-effort. Some shells / CI pipes wrap stdout in a way + # that doesn't expose ``reconfigure``; in those cases we + # fall through and accept a possible UnicodeEncodeError + # rather than hide a real configuration problem. + pass + + def main() -> None: + _ensure_utf8_stdout() # Load env from this script's directory so `.env` is configured once at # the runner location rather than in every project we review from. load_dotenv(ROOT / ".env") From 19c1a3abbfdb8cff76b2f4eb78a56654767987e7 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 11:28:26 -0700 Subject: [PATCH 12/19] Force UTF-8 in subprocess.run so Windows git/gh output isn't mangled MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Companion to the previous ``_ensure_utf8_stdout`` fix. ``text=True`` in ``subprocess.run`` defaults to ``locale.getpreferredencoding(False)``, which on Windows is cp1252. Source files containing non-ASCII characters (em-dashes, arrows, section signs) then arrive in Python as mojibake -- ``â€"`` for ``--``, ``â†'`` for ``->``, ``§`` for ``§``. The model sees the mojibake in the diff and the next review iteration flags "character encoding artifacts in documentation files," a finding that does not exist in the source -- only in the runner's decoding step. Caught while iterating PR #8 of the parent project: a review round flagged AGENT_NOTES.md, plan.md, and the new ADRs as having encoding artifacts even though all four files were valid UTF-8 on disk. The artifacts were introduced by ``_run_git`` and ``pr_diff`` decoding the git/gh subprocess output as cp1252. Adds explicit ``encoding="utf-8", errors="replace"`` to both ``_run_git`` and ``pr_diff``. ``errors="replace"`` is defensive in case git ever emits bytes that aren't valid UTF-8 (rare; usually a corrupted file). No-op on macOS / Linux (already UTF-8). Co-Authored-By: Claude Opus 4.7 (1M context) --- review.py | 32 +++++++++++++++++++++++++++++--- 1 file changed, 29 insertions(+), 3 deletions(-) diff --git a/review.py b/review.py index 3703099..6783d92 100644 --- a/review.py +++ b/review.py @@ -270,10 +270,26 @@ def _format_size(n_bytes: int) -> str: def _run_git(args: list[str]) -> str: """Run a git command in the current working directory and return stdout. Surfaces non-zero exits with the command and stderr so the user sees why. + + ``encoding="utf-8"`` is explicit: without it, ``text=True`` decodes via + ``locale.getpreferredencoding(False)``, which on Windows is cp1252. + Source files containing non-ASCII characters (em-dashes, arrows, the + section sign) then come back to Python as mojibake (``â€"`` for ``--``, + ``â†'`` for ``->``, ``§`` for ``§``), the model sees the mojibake in + the diff, and the next review iteration flags "character encoding + artifacts in documentation files" -- a finding that doesn't exist in + the source, only in the runner's decoding step. ``errors="replace"`` + is defensive in case git ever emits bytes that aren't valid UTF-8 + (rare; usually a corrupted file). """ try: result = subprocess.run( - args, capture_output=True, text=True, check=True + args, + capture_output=True, + text=True, + check=True, + encoding="utf-8", + errors="replace", ) except subprocess.CalledProcessError as exc: sys.stderr.write( @@ -304,11 +320,21 @@ def git_diff_local(base: str | None, staged: bool) -> str: def pr_diff(pr_number: int) -> str: - """Pull a PR's diff via `gh`. Requires `gh auth login` to have run.""" + """Pull a PR's diff via `gh`. Requires `gh auth login` to have run. + + Same Windows-locale concern as ``_run_git``: explicit + ``encoding="utf-8"`` keeps PR diffs containing em-dashes, arrows, + section signs, and other non-ASCII characters from being mangled + into cp1252 mojibake before the model sees them. + """ try: result = subprocess.run( ["gh", "pr", "diff", str(pr_number), "--patch"], - capture_output=True, text=True, check=True, + capture_output=True, + text=True, + check=True, + encoding="utf-8", + errors="replace", ) except FileNotFoundError: sys.stderr.write( From e93e709f6d3418d6e9acfd7e266b18fd5edf5979 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 12:04:57 -0700 Subject: [PATCH 13/19] Add --temperature and --max-tokens runtime flags; bump defaults to 0.5/16000 The previous hardcoded temperature=0.2 (and the model-default ~8K output cap) produced 1-2 findings per review round on diffs that empirically contained more issues, requiring 5-7 iterations to converge on real PRs (e.g. PR #8 in the parent project: 7 rounds, 12 distinct findings split across 4 cleanup commits). Tuning analysis ran in chat: higher temperature broadens model exploration so more findings surface per call, at the cost of a moderately higher hallucination rate (the decline-comment contract already handles those). The dollar cost increase is trivial (~$0.02 per round) since output tokens are cheap and the max_tokens ceiling only bills for what the model actually emits, not the unused headroom. Changes: - ``DEFAULT_TEMPERATURE = 0.5`` and ``DEFAULT_MAX_TOKENS = 16000`` as module-level constants with rationale-in-docstring. - ``--temperature `` and ``--max-tokens `` CLI flags (precedence: CLI > env > default). Env vars ``$CODE_REVIEW_TEMPERATURE`` / ``$CODE_REVIEW_MAX_TOKENS`` let a user pin the defaults at their environment level without recompiling. Invalid env values fail fast with a clear message rather than silently falling back. - ``call_openrouter`` and ``call_gemini`` both take ``temperature`` and ``max_tokens`` as kwargs and inject them into the payload. OpenRouter uses ``temperature`` + ``max_tokens`` (snake_case per the OpenAI-compatible chat-completions spec); Gemini-direct uses ``temperature`` + ``maxOutputTokens`` (camelCase per the v1beta generateContent spec). Wire formats stay correct for each provider. - Stderr ``Reviewing ...`` line now shows the active T and max_tokens so a user diagnosing a noisy review round can see at a glance what settings produced it. Docs: - ``.env.example`` documents the two new env vars next to the existing provider config. - README adds a paragraph after the Modes table explaining the two knobs and the empirical rationale for the new defaults. - Runbook gets a "Tuning sampling" subsection under Model selection with a tradeoffs table (when to raise / lower each). Smoke-tested against the parent project's PR #8 diff (89K chars, ``--model flash --temperature 0.6 --max-tokens 8000``) -- stderr correctly surfaced ``T=0.6, max_tokens=8000``, output produced as expected. Co-Authored-By: Claude Opus 4.7 (1M context) --- .env.example | 11 ++++ README.md | 7 +++ docs/llm-code-review-runbook.md | 11 ++++ review.py | 104 +++++++++++++++++++++++++++++--- 4 files changed, 125 insertions(+), 8 deletions(-) diff --git a/.env.example b/.env.example index 712f2bf..3e49b1c 100644 --- a/.env.example +++ b/.env.example @@ -27,3 +27,14 @@ GEMINI_API_KEY= # Optional: default model when --provider gemini is selected. The Gemini API # takes the bare model name (no `google/` prefix). # GEMINI_MODEL=gemini-2.5-pro + +# --- Sampling tuning --------------------------------------------------------- +# Both apply to OpenRouter and Gemini-direct paths and can be overridden per +# call via `--temperature` / `--max-tokens`. Defaults are 0.5 and 16000 +# respectively -- raised from the previous 0.2 / ~8K defaults to surface more +# findings per round at the cost of a moderately higher hallucination rate. +# Set lower (e.g. 0.2) if you want tighter, more conservative output; set +# higher if you want broader exploration. ``max_tokens`` is a ceiling, not a +# target -- you pay only for tokens actually emitted, not for unused headroom. +# CODE_REVIEW_TEMPERATURE=0.5 +# CODE_REVIEW_MAX_TOKENS=16000 diff --git a/README.md b/README.md index e2ef8f9..f2d2ff3 100644 --- a/README.md +++ b/README.md @@ -112,6 +112,13 @@ Raw slugs still pass through unchanged, so anything OpenRouter serves — includ `--model ` overrides the default model. Use `google/gemini-2.5-flash` / `flash` (OpenRouter) or `gemini-2.5-flash` (Gemini API) for ~3× faster reviews with some quality loss. +Two more runtime knobs: + +- `--temperature ` (default `0.5`, env `CODE_REVIEW_TEMPERATURE`): sampling randomness. Higher = more findings per call, more hallucinations. Lower = tighter, fewer findings. +- `--max-tokens ` (default `16000`, env `CODE_REVIEW_MAX_TOKENS`): ceiling on output. Not a target — you pay only for what's emitted. Default avoids mid-finding truncation on thorough reviews. + +The defaults shifted from `0.2` / `~8K` after empirical iteration: `0.2` produced 1–2 findings per round on diffs that plausibly contained more, requiring 5–7 rounds to converge. `0.5` typically produces 3–5 findings per round and converges in 3–5 rounds. + ### Whole-codebase mode (`--codebase`) For "audit this repo I just inherited" or "find bugs in code none of us touched in this PR," the diff modes don't help. `--codebase` bundles every tracked file (filtered) into a single payload and reviews them as a whole. diff --git a/docs/llm-code-review-runbook.md b/docs/llm-code-review-runbook.md index 4503f30..d3f3d35 100644 --- a/docs/llm-code-review-runbook.md +++ b/docs/llm-code-review-runbook.md @@ -77,6 +77,17 @@ The runner reads `.env` from its own directory — configure once, invoke from a Aliases work only under `--provider openrouter`. Passing an alias with `--provider gemini` is a category error (the Gemini API direct path takes bare Gemini model names only) and the runner exits with a clear message. Raw slugs always pass through unchanged, so newer models that haven't earned an alias yet still work via `--model /`. +### Tuning sampling: `--temperature` and `--max-tokens` + +Two runtime knobs control how much the model says and how exploratory it is: + +| Flag | Default | What it controls | When to change | +|---|---|---|---| +| `--temperature ` | `0.5` (env: `CODE_REVIEW_TEMPERATURE`) | Sampling randomness. Higher = more exploration, more findings per call, more hallucinations. Lower = tighter, more conservative, fewer findings. | Drop to `0.2` for security-critical PRs where decline-comment overhead is expensive. Raise to `0.6–0.7` for first-pass audits where you want maximum coverage and can afford to filter noise. | +| `--max-tokens ` | `16000` (env: `CODE_REVIEW_MAX_TOKENS`) | Ceiling on output token count. Not a target — you pay only for what the model actually emits. Default ensures a thorough review isn't truncated mid-finding. | Rarely needs changing. Drop to `4000` if you genuinely want short, focused output (e.g. CI-step where only critical findings matter). Raise if you see truncated `Suggested change:` blocks in very large reviews. | + +The defaults were chosen after iterating on real PRs: `temperature=0.2` produced 1–2 findings per round on diffs that plausibly contained more, requiring 5–7 rounds to converge. `temperature=0.5` typically produces 3–5 findings per round and converges in 3–5 rounds, at the cost of one or two additional hallucinations per cycle (declines handle them). + ### Whole-codebase mode (`--codebase`) For situations that diff review can't help with — auditing a repo you just inherited, finding bugs in code none of your PRs have touched — `--codebase` bundles every tracked file (filtered) and reviews them as a single payload. diff --git a/review.py b/review.py index 6783d92..446b0a7 100644 --- a/review.py +++ b/review.py @@ -75,6 +75,22 @@ # generously for very large diffs and whole-codebase # bundles. +# Sampling temperature for the model. Raised from 0.2 to 0.5 after running +# several review cycles at 0.2 and observing 1-2 findings per round on +# diffs that plausibly contained more. Higher temperature broadens the +# model's exploration so more findings surface per call, at the cost of +# a moderately higher hallucination rate -- the decline-comment contract +# in the runbook handles those cleanly. Override per call with +# ``--temperature`` or per environment with ``$CODE_REVIEW_TEMPERATURE``. +DEFAULT_TEMPERATURE = 0.5 + +# Maximum output tokens the model may emit. Raised from the implicit +# provider default (~8K for Gemini 2.5 Pro) to 16K so a thorough review +# isn't truncated mid-finding. This is a *ceiling*, not a target -- you +# pay only for tokens actually emitted, not for unused headroom. +# Override with ``--max-tokens`` or ``$CODE_REVIEW_MAX_TOKENS``. +DEFAULT_MAX_TOKENS = 16000 + # Named aliases for OpenRouter model slugs. The OpenRouter URL form # ``vendor/model`` is awkward to type; an alias collapses it to a short # name (``claude``, ``gpt``, ``deepseek``...) for ergonomics. Aliases are @@ -449,6 +465,8 @@ def call_openrouter( api_key: str, referer: str, title: str, + temperature: float, + max_tokens: int, ) -> str: """POST to OpenRouter's chat-completions endpoint and return the review markdown. Caller builds the prompts so this function stays mode-agnostic @@ -460,11 +478,13 @@ def call_openrouter( {"role": "system", "content": system_prompt}, {"role": "user", "content": user_prompt}, ], - # The upstream prompts are highly structured; we want minimal - # sampling noise so suggested-change blocks come back as exact - # diffs and severity tags stay in the canonical {CRITICAL, HIGH, - # MEDIUM, LOW} set. - "temperature": 0.2, + # Temperature broadens exploration so more findings surface per + # call; the upstream prompt's "Critical Constraints" section + # still gates *quality*. ``max_tokens`` is a ceiling so a + # thorough review isn't truncated mid-finding -- the user pays + # only for tokens actually emitted, not the unused headroom. + "temperature": temperature, + "max_tokens": max_tokens, } headers = { "Authorization": f"Bearer {api_key}", @@ -501,6 +521,8 @@ def call_gemini( user_prompt: str, model: str, api_key: str, + temperature: float, + max_tokens: int, ) -> str: """POST to Google AI Studio's ``generateContent`` endpoint directly. Caller builds the prompts (same as ``call_openrouter``) so the wire @@ -512,7 +534,12 @@ def call_gemini( ], "systemInstruction": {"parts": [{"text": system_prompt}]}, "generationConfig": { - "temperature": 0.2, + # camelCase keys per the v1beta generateContent spec. + # ``maxOutputTokens`` is the ceiling on generated tokens; + # ``temperature`` matches the OpenRouter side so review + # behavior is consistent across providers. + "temperature": temperature, + "maxOutputTokens": max_tokens, }, } headers = { @@ -687,10 +714,66 @@ def main() -> None: "~3x faster with some quality loss." ), ) + parser.add_argument( + "--temperature", + type=float, + default=None, + metavar="FLOAT", + help=( + f"Sampling temperature. Default {DEFAULT_TEMPERATURE} -- " + "raised from the previous 0.2 default to surface more " + "findings per round at the cost of a higher hallucination " + "rate (the decline-comment contract handles those). Range " + "typically 0.0-1.0. Override with $CODE_REVIEW_TEMPERATURE." + ), + ) + parser.add_argument( + "--max-tokens", + type=int, + default=None, + metavar="N", + dest="max_tokens", + help=( + f"Maximum output tokens the model may emit. Default " + f"{DEFAULT_MAX_TOKENS} -- raised from the implicit ~8K " + "provider default so a thorough review isn't truncated " + "mid-finding. This is a ceiling, not a target: you pay only " + "for tokens actually emitted. Override with " + "$CODE_REVIEW_MAX_TOKENS." + ), + ) args = parser.parse_args() model = _resolve_model(args) + # Resolve temperature: explicit CLI flag wins, then env, then default. + if args.temperature is not None: + temperature = args.temperature + else: + env_temp = os.getenv("CODE_REVIEW_TEMPERATURE") + try: + temperature = float(env_temp) if env_temp is not None else DEFAULT_TEMPERATURE + except ValueError: + sys.stderr.write( + f"ERROR: $CODE_REVIEW_TEMPERATURE={env_temp!r} is not a " + "valid float. Unset it or pass --temperature explicitly.\n" + ) + sys.exit(2) + + # Resolve max_tokens with the same precedence. + if args.max_tokens is not None: + max_tokens = args.max_tokens + else: + env_max = os.getenv("CODE_REVIEW_MAX_TOKENS") + try: + max_tokens = int(env_max) if env_max is not None else DEFAULT_MAX_TOKENS + except ValueError: + sys.stderr.write( + f"ERROR: $CODE_REVIEW_MAX_TOKENS={env_max!r} is not a " + "valid integer. Unset it or pass --max-tokens explicitly.\n" + ) + sys.exit(2) + # Resolve and validate the API key for the chosen provider before # touching git / GitHub so the user fails fast on configuration errors. if args.provider == "openrouter": @@ -747,7 +830,8 @@ def main() -> None: sys.exit(1) sys.stderr.write( f"Reviewing {len(files)} file(s) ({len(bundle):,} chars) " - f"with `{model}` via {args.provider}...\n" + f"with `{model}` via {args.provider} " + f"(T={temperature}, max_tokens={max_tokens})...\n" ) system_prompt, user_prompt = build_codebase_prompts(bundle) else: @@ -765,7 +849,7 @@ def main() -> None: sys.exit(0) sys.stderr.write( f"Reviewing {len(diff):,}-char diff with `{model}` via " - f"{args.provider}...\n" + f"{args.provider} (T={temperature}, max_tokens={max_tokens})...\n" ) system_prompt, user_prompt = build_diff_prompts(diff) @@ -784,6 +868,8 @@ def main() -> None: api_key=api_key, referer=referer, title=title, + temperature=temperature, + max_tokens=max_tokens, ) else: # gemini output = call_gemini( @@ -791,6 +877,8 @@ def main() -> None: user_prompt=user_prompt, model=model, api_key=api_key, + temperature=temperature, + max_tokens=max_tokens, ) print(output) From 7db48e1435d85b8efe85c22676f72e55f3366c78 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Fri, 15 May 2026 16:24:31 -0700 Subject: [PATCH 14/19] Add typed exit codes, safety-context prefix, and auto-retry for LLM callers Reshape the runner around being called by LLM agents in a loop, not just by humans at a shell. Two failure modes were ambiguous before: 1. Refusals returned content=None instead of a typed error, so callers couldn't distinguish "model refused" from "rate limit" from "diff too big" from "network down" without parsing prose. 2. Real-world diffs with security/AML/policy vocabulary tripped content filters even when the code was plainly benign. This commit: - Introduces a typed ReviewError hierarchy with stable exit codes (0/1/2/10-14) covering CONFIG, SAFETY_REFUSAL, RATE_LIMIT, CONTEXT_OVERFLOW, PROVIDER_HICCUP, and TRANSPORT. - Classifies null content from both providers via finish_reason (OpenRouter: safety/length/content_filter; Gemini: SAFETY/MAX_TOKENS/ promptFeedback.blockReason) so SAFETY_REFUSAL and CONTEXT_OVERFLOW surface as distinct codes instead of UNKNOWN. - Adds a DEFAULT_CONTEXT prefix wrapped in framing the request as authorized code review with benign-but- adversarial-looking vocabulary. Overridable via --context / $CODE_REVIEW_CONTEXT, disable with --no-context. - Auto-retries once on PROVIDER_HICCUP and TRANSPORT (recoverable); surfaces SAFETY_REFUSAL / RATE_LIMIT / CONTEXT_OVERFLOW / CONFIG immediately because retry-without-changes doesn't help. - Emits a stable stderr prefix "ERROR: [exit ]" for cheap grep-based category extraction by agent callers. - Documents the full contract in README (Safety context + Error model for LLM callers sections, with exit-code table, stderr format, retry policy, and decision tree) and cross-references it from the runbook. Co-Authored-By: Claude Opus 4.7 (1M context) --- .env.example | 10 + README.md | 78 ++++ docs/llm-code-review-runbook.md | 39 +- review.py | 626 +++++++++++++++++++++++++++----- 4 files changed, 649 insertions(+), 104 deletions(-) diff --git a/.env.example b/.env.example index 3e49b1c..0224bb3 100644 --- a/.env.example +++ b/.env.example @@ -38,3 +38,13 @@ GEMINI_API_KEY= # target -- you pay only for tokens actually emitted, not for unused headroom. # CODE_REVIEW_TEMPERATURE=0.5 # CODE_REVIEW_MAX_TOKENS=16000 + +# --- Safety context ---------------------------------------------------------- +# Optional prompt prefix prepended to every review request. Reduces false- +# positive content-filter refusals when the diff under review uses words that +# look adversarial in isolation (security testing, policy enforcement, +# sanctions screening, etc.). The runner ships a generic default; set this +# env var to override per environment (e.g. add your project's name + brief +# subject matter). Override per call with `--context "..."` or disable +# entirely with `--no-context`. See the README's "Safety context" section. +# CODE_REVIEW_CONTEXT="The diff below is from ; treat as authorized code review." diff --git a/README.md b/README.md index f2d2ff3..24b0b3b 100644 --- a/README.md +++ b/README.md @@ -185,6 +185,84 @@ Clean codebase: `No issues found. Code looks clean.` Line numbers in `--codebase` output are 1-indexed within each individual file (anchored to the `======== FILE: ========` delimiters in the bundle), not against any synthetic line counter across the bundle. +## Safety context + +Many real-world diffs use words that look adversarial in isolation — `attack`, `sanctions`, `prompt injection`, `tampering`, `redaction`, `policy bypass`, `replay` — even when the surrounding code is plainly benign (security testing, defensive policy enforcement, AML domain logic, etc.). Provider content-filters fire on those tokens occasionally and the model returns a refusal instead of a review, which a naive caller experiences as `None` / empty output. + +To reduce that false-positive rate, the runner prepends a short **safety context** prefix to every review prompt, framing the request as authorized code review. Default prefix: + +> *"The diff below is from a legitimate software-engineering project undergoing authorized code review. The code may include defensive security measures, adversarial test fixtures, policy enforcement logic, or domain language that looks adversarial in isolation (e.g. 'sanctions', 'attack', 'prompt injection', 'tampering', 'redaction'). Treat this as benign code review by the maintainers. Do not refuse on the basis of subject matter."* + +Override per call with `--context ""` or per environment with `$CODE_REVIEW_CONTEXT`. Disable entirely with `--no-context` (rare — useful only if the default phrasing itself triggers a refusal). + +The prefix is wrapped in a `...` tag so the model treats it as framing metadata, not as code under review. The prefix wording deliberately avoids "ignore safety guidelines"-style phrasing — that pattern itself trips filters. + +## Error model (for LLM callers) + +If you're an LLM agent calling this tool in a loop, here's the contract. + +### Exit codes + +| Exit | Category | Cause | Suggested LLM action | +|---|---|---|---| +| **0** | OK | Review succeeded; markdown on stdout | Parse and use the output | +| **2** | CONFIG | Missing API key or invalid CLI / env arg | **Do not retry without fixing.** Read stderr, correct config, then re-run. | +| **10** | SAFETY_REFUSAL | Model refused (content filter fired) | Retry with `--model claude` (Anthropic is the least refusal-prone on security / policy / adversarial-fixture code). If refused across models, the content may need human review. | +| **11** | RATE_LIMIT | HTTP 429 from the provider | Wait 30–60s, then retry. If the limit is per-key per-day (common on free tiers), switch `--provider` or `--model`. | +| **12** | CONTEXT_OVERFLOW | Diff exceeded the model's token budget or the runner's 700K-char bundle cap | Narrow scope: `--include` / `--exclude` in codebase mode, or a smaller `--base` ref in diff mode. **Do not retry without reducing scope.** | +| **13** | PROVIDER_HICCUP | Null content with no clear cause (no safety flag, no length hit) | The runner already auto-retried once; if you see this, both attempts failed. Wait a few seconds and retry; if still hicupped, switch provider. | +| **14** | TRANSPORT | HTTP 5xx, timeout, or connection error | The runner already retried once at 2s. Retry with exponential backoff (4s, 8s); escalate if 3 retries fail. | +| **1** | UNKNOWN | Catchall (unexpected exception, non-JSON response, etc.) | Read stderr for the surviving exception; escalate if unclear. | + +### Stderr format + +Stable single-line prefix for machine parsing: + +``` +ERROR: [exit ] +``` + +Followed by free-form lines for human readability: + +``` +ERROR: SAFETY_REFUSAL [exit 10] +Reason: Model refused with finish_reason='safety' +Model: google/gemini-2.5-pro +Provider: openrouter +Suggested: Retry with a different model: ``--model claude`` is the most refusal-resistant... +Detail: {"choices":[{"message":{"content":null,...}}],...} +``` + +An agent can `grep -oE '^ERROR: [A-Z_]+'` the stderr to extract the category cheaply. + +### Auto-retry behavior + +The runner auto-retries **once** on: + +- `PROVIDER_HICCUP` — usually recovers on the second call +- `TRANSPORT` — HTTP 5xx / network timeout + +Other categories surface immediately: + +- `SAFETY_REFUSAL` — a second call with the same model + prompt almost always reproduces the refusal; better to switch model than burn tokens +- `RATE_LIMIT` — retry without waiting just makes it worse +- `CONTEXT_OVERFLOW` — the scope is wrong, not the call +- `CONFIG` — fix the config + +### Decision tree for LLM callers + +``` +review.py exited: +├── 0 → review succeeded; markdown on stdout +├── 2 → check config; do NOT retry without changes +├── 10 → retry with --model claude; if still 10, escalate to human +├── 11 → wait 60s and retry; if still 11, switch --provider +├── 12 → narrow scope (--include/--exclude or smaller --base); do NOT retry without scope change +├── 13 → runner already retried once; retry yourself once after a few seconds; if still 13, switch provider +├── 14 → exponential backoff retry (4s, 8s, 16s); escalate after 3 attempts +└── 1 → read stderr; escalate +``` + ## Operational runbook The full workflow — iteration loop, accept/decline heuristics, the decline-comment contract, known gotchas, per-round tracking — lives in [`docs/llm-code-review-runbook.md`](./docs/llm-code-review-runbook.md). Same content works for human developers and LLM agents alike. diff --git a/docs/llm-code-review-runbook.md b/docs/llm-code-review-runbook.md index d3f3d35..ee4d1ef 100644 --- a/docs/llm-code-review-runbook.md +++ b/docs/llm-code-review-runbook.md @@ -151,22 +151,47 @@ This is the central operational rule. Without it, the loop churns on the same fi --- -## Known gotchas +## Error model + +The runner exits with **typed exit codes** so an LLM caller can react differently to each failure mode without parsing prose. The full table + decision tree lives in the README's "Error model (for LLM callers)" section; the short version: + +| Exit | Category | Quick action | +|---|---|---| +| 0 | OK | use stdout | +| 2 | CONFIG | fix env / CLI flag; don't retry | +| 10 | SAFETY_REFUSAL | retry with `--model claude` | +| 11 | RATE_LIMIT | wait 60s; switch provider if persistent | +| 12 | CONTEXT_OVERFLOW | narrow scope; don't retry as-is | +| 13 | PROVIDER_HICCUP | retry; runner already auto-retried once | +| 14 | TRANSPORT | exponential backoff; escalate after 3 | +| 1 | UNKNOWN | read stderr; escalate | + +Stderr always starts with a stable line `ERROR: [exit ]` followed by free-form human-readable detail. An agent can grep that prefix to extract the category without parsing. + +The runner **auto-retries once** on `PROVIDER_HICCUP` and `TRANSPORT` before exiting; other categories surface immediately because retrying without changes doesn't help. -1. **Transient `None` output.** OpenRouter occasionally returns an empty completion (content filter, provider hiccup, rate-limit interstitial). The runner surfaces this as a literal `None`. Just rerun the same command — the second call has always worked in practice. Don't debug it. +## Safety context + +The runner prepends a short framing prefix to every review request, wrapped in `...`, to reduce false-positive content-filter refusals on diffs that contain words like `attack`, `sanctions`, `prompt injection`, `tampering`, `redaction` (common in security testing, AML compliance, policy enforcement code). + +Override per call with `--context ""` or per environment with `$CODE_REVIEW_CONTEXT`. Disable with `--no-context` (rarely useful — the default already drops refusal rate significantly). + +See the README's "Safety context" section for the default phrasing. + +## Known gotchas -2. **Free-tier 429 on Gemini direct.** `--provider gemini --model gemini-2.5-pro` requires a paid Google AI Studio plan; the free tier returns HTTP 429 immediately. Either use `--provider openrouter` (preferred) or `--model gemini-2.5-flash`. +1. **Free-tier 429 on Gemini direct.** `--provider gemini --model gemini-2.5-pro` requires a paid Google AI Studio plan; the free tier returns HTTP 429 immediately (`RATE_LIMIT`, exit 11). Either use `--provider openrouter` (preferred) or `--model gemini-2.5-flash`. -3. **Two-dot vs three-dot diff.** `--base ` uses two-dot (`git diff -U5 `) so working-tree changes show up. Three-dot (`...HEAD`) would show only committed changes and the reviewer would keep re-flagging the same issues. The two-dot semantics is intentional for the iteration workflow. +2. **Two-dot vs three-dot diff.** `--base ` uses two-dot (`git diff -U5 `) so working-tree changes show up. Three-dot (`...HEAD`) would show only committed changes and the reviewer would keep re-flagging the same issues. The two-dot semantics is intentional for the iteration workflow. -4. **Diff size shapes round count.** Larger diffs surface more findings per round and take more rounds to converge. Rough observed shapes: +3. **Diff size shapes round count.** Larger diffs surface more findings per round and take more rounds to converge. Rough observed shapes: - Small PR (~25K-char diff, single feature): 3–4 rounds - Medium PR (~50K chars): 4–6 rounds - Large PR (~300K chars): 8–12 rounds -5. **`tee` to a file.** When output is large, pipe to `tee /tmp/review.md` so you can re-read findings without re-invoking the tool. Saves context budget on subsequent steps. +4. **`tee` to a file.** When output is large, pipe to `tee /tmp/review.md` so you can re-read findings without re-invoking the tool. Saves context budget on subsequent steps. -6. **Codebase-mode bundle cap.** `--codebase` enforces a 700 K-char (~175 K-token) pre-flight cap on the concatenated bundle. If you hit it, the runner exits with the 10 largest files in the current selection — use those to target `--exclude` flags. Common offenders: vendored fixture JSON, committed schema dumps, test data files. +5. **Codebase-mode bundle cap.** `--codebase` enforces a 700 K-char (~175 K-token) pre-flight cap on the concatenated bundle. If you hit it, the runner exits with `CONTEXT_OVERFLOW` (exit 12) and lists the 10 largest files in the current selection — use those to target `--exclude` flags. Common offenders: vendored fixture JSON, committed schema dumps, test data files. --- diff --git a/review.py b/review.py index 446b0a7..69e487d 100644 --- a/review.py +++ b/review.py @@ -49,14 +49,171 @@ import os import subprocess import sys +import time import tomllib from pathlib import Path +from typing import Callable, TypeVar import httpx from dotenv import load_dotenv ROOT = Path(__file__).parent.resolve() + +# --------------------------------------------------------------------------- +# Error model +# --------------------------------------------------------------------------- +# +# The runner is designed to be called by an LLM agent in a loop, not just by a +# human at a shell. That means the exit code is a contract: an agent caller +# needs to be able to react differently to "model refused" vs "rate limit" +# vs "diff too big" vs "network down" without parsing prose. README's "Error +# model" section is the public-facing version of this table; the constants +# below are the in-code source of truth. +# +# Exit-code budget: 0 success, 1 catchall, 2 config, 10-19 reserved for typed +# review errors. Codes 3-9 are conventionally Unix-shell-reserved; we skip +# them. + + +T = TypeVar("T") + + +class ReviewError(Exception): + """Base class for typed runner errors. + + Subclasses set ``exit_code``, ``category``, and ``suggested`` so the error + formatter in ``main`` can emit a structured stderr block an LLM caller + can pattern-match (``ERROR: [exit ]``). + """ + + exit_code: int = 1 + category: str = "UNKNOWN" + suggested: str = "Read stderr for details; escalate if unclear." + + def __init__( + self, + message: str, + *, + detail: str | None = None, + model: str | None = None, + provider: str | None = None, + ) -> None: + super().__init__(message) + self.detail = detail + self.model = model + self.provider = provider + + +class ConfigError(ReviewError): + """Missing API key, invalid CLI / env value, or other static-config bug.""" + + exit_code = 2 + category = "CONFIG" + suggested = ( + "Check the relevant env var or CLI flag (see the error message). " + "Do not retry without fixing the config -- retry will hit the same " + "error." + ) + + +class SafetyRefusal(ReviewError): + """Model refused on content-filter grounds. + + Returned content was null with ``finish_reason`` indicating SAFETY, + ``content_filter``, or equivalent. Re-trying the same model with the + same prompt almost always reproduces the refusal; switch model first. + """ + + exit_code = 10 + category = "SAFETY_REFUSAL" + suggested = ( + "Retry with a different model: ``--model claude`` is the most " + "refusal-resistant on security / policy / adversarial-fixture code. " + "If still refused across models, the content may need human review." + ) + + +class RateLimit(ReviewError): + """Provider HTTP 429 -- request quota or RPS cap exceeded.""" + + exit_code = 11 + category = "RATE_LIMIT" + suggested = ( + "Wait 30-60 seconds and retry. If the limit is per-key per-day " + "(common on free tiers), switch ``--provider`` or ``--model`` to " + "one with separate quota." + ) + + +class ContextOverflow(ReviewError): + """Diff exceeded the model's input or output token budget.""" + + exit_code = 12 + category = "CONTEXT_OVERFLOW" + suggested = ( + "Narrow the diff scope: ``--include`` / ``--exclude`` in codebase " + "mode, or a smaller ``--base`` ref in diff mode. Do not retry " + "without reducing scope -- a second call with the same payload " + "will hit the same limit." + ) + + +class ProviderHiccup(ReviewError): + """Null content with no clear safety / length signal. + + Empirically recovers ~always on a single retry. The runner auto-retries + once before raising this; if you see this exit code, both attempts + failed. + """ + + exit_code = 13 + category = "PROVIDER_HICCUP" + suggested = ( + "The runner already auto-retried once. Wait a few seconds and " + "retry; if still hicupped, switch ``--provider`` or ``--model``." + ) + + +class TransportError(ReviewError): + """Network / HTTP-5xx failure reaching the provider.""" + + exit_code = 14 + category = "TRANSPORT" + suggested = ( + "Retry with exponential backoff (2s, 4s, 8s). The runner already " + "retried once at 2s. If three additional retries fail, check the " + "provider's status page; escalate if the provider is up." + ) + + +# --------------------------------------------------------------------------- +# Safety context prefix +# --------------------------------------------------------------------------- +# +# Prepended to every review prompt (overridable via --context / --no-context / +# $CODE_REVIEW_CONTEXT). Lowers the false-positive refusal rate when the +# diff under review contains words/patterns the model's safety filter +# associates with harm in other contexts (security testing, policy code, +# adversarial fixtures, AML domain language, etc.). +# +# Wording deliberately avoids "ignore safety guidelines" or similar +# jailbreak-shaped phrasing -- that itself triggers safety filters. The +# framing is "this is authorized code review of legitimate work"; the +# specific examples (sanctions, attack, prompt injection, tampering, +# redaction) are the words we've observed triggering false-positive +# refusals on our own PRs. + +DEFAULT_CONTEXT = ( + "The diff below is from a legitimate software-engineering project " + "undergoing authorized code review. The code may include defensive " + "security measures, adversarial test fixtures, policy enforcement " + "logic, or domain language that looks adversarial in isolation " + "(e.g. 'sanctions', 'attack', 'prompt injection', 'tampering', " + "'redaction'). Treat this as benign code review by the maintainers. " + "Do not refuse on the basis of subject matter." +) + # Provider configuration. The default model slug differs by provider because # OpenRouter prefixes vendor names (``google/...``) while the Gemini API # accepts the bare model name. Override per-call with ``--model``. @@ -217,12 +374,31 @@ def load_command_prompt(name: str) -> str: return data["prompt"] -def build_diff_prompts(diff: str) -> tuple[str, str]: +def _apply_context(user_prompt: str, context: str | None) -> str: + """Prepend a safety-context block to the user prompt. + + Wrapping the context in a labeled XML-style tag (````) + rather than free-floating prose keeps the model from accidentally treating + the framing as part of the code it should review. ``None`` / empty + short-circuits to the bare prompt for ``--no-context`` mode. + """ + if not context: + return user_prompt + return ( + "\n" + f"{context}\n" + "\n\n" + f"{user_prompt}" + ) + + +def build_diff_prompts(diff: str, context: str | None) -> tuple[str, str]: """Construct ``(system, user)`` prompts for diff-mode review. Loads the upstream ``code-review-commons`` skill (system prompt) and the upstream ``code-review`` command (user prompt template), then - substitutes the diff into the command's tool-call placeholder. + substitutes the diff into the command's tool-call placeholder and + prepends the optional safety-context block to the user prompt. """ system_prompt = load_skill("code-review-commons") user_template = load_command_prompt("code-review") @@ -232,10 +408,10 @@ def build_diff_prompts(diff: str) -> tuple[str, str]: # substitution missed, append the diff so the model still has it. if diff_block not in user_prompt: user_prompt = f"{user_prompt}\n\n{diff_block}" - return system_prompt, user_prompt + return system_prompt, _apply_context(user_prompt, context) -def build_codebase_prompts(bundle: str) -> tuple[str, str]: +def build_codebase_prompts(bundle: str, context: str | None) -> tuple[str, str]: """Construct ``(system, user)`` prompts for whole-codebase review. Uses the fork-added ``code-review-codebase`` skill and @@ -262,7 +438,7 @@ def build_codebase_prompts(bundle: str) -> tuple[str, str]: else: # Defensive: same shape as ``build_diff_prompts`` defensive append. user_prompt = f"{user_template}\n\n{bundle_block}" - return system_prompt, user_prompt + return system_prompt, _apply_context(user_prompt, context) def _format_size(n_bytes: int) -> str: @@ -457,6 +633,52 @@ def bundle_codebase(file_paths: list[Path]) -> str: return "\n\n".join(parts) +def _classify_http_error( + status: int, + body: str, + *, + model: str, + provider: str, +) -> ReviewError: + """Map a 4xx/5xx response to the right typed error. + + Provider-side messages are inconsistent across vendors, so we pattern- + match on a small set of substrings the major providers use today. The + classification is best-effort -- a future provider could land a 4xx + that doesn't match any pattern, and that's fine: it falls through to + a generic ``ReviewError`` which surfaces as exit 1 with the response + body in ``detail`` so a caller can decide. + """ + body_lower = body.lower() + if status == 429: + return RateLimit( + f"{provider} returned HTTP 429", + detail=body[:1000], + model=model, + provider=provider, + ) + if status == 413 or "context_length" in body_lower or "too long" in body_lower or "exceeds the maximum" in body_lower: + return ContextOverflow( + f"{provider} returned HTTP {status} with context-length indication", + detail=body[:1000], + model=model, + provider=provider, + ) + if 500 <= status < 600: + return TransportError( + f"{provider} returned HTTP {status} (provider-side failure)", + detail=body[:1000], + model=model, + provider=provider, + ) + return ReviewError( + f"{provider} returned HTTP {status}", + detail=body[:1000], + model=model, + provider=provider, + ) + + def call_openrouter( *, system_prompt: str, @@ -471,6 +693,10 @@ def call_openrouter( """POST to OpenRouter's chat-completions endpoint and return the review markdown. Caller builds the prompts so this function stays mode-agnostic (diff review and codebase review share the same wire path). + + Raises typed ``ReviewError`` subclasses on failure -- see the README's + "Error model" section for the contract. ``main`` catches and formats + them with the correct exit code. """ payload = { "model": model, @@ -496,23 +722,72 @@ def call_openrouter( "X-Title": title, } - with httpx.Client(timeout=HTTP_TIMEOUT) as client: - response = client.post(OPENROUTER_URL, headers=headers, json=payload) - if response.status_code >= 400: - sys.stderr.write( - f"ERROR: OpenRouter returned HTTP {response.status_code}\n" - f"{response.text}\n" - ) - sys.exit(1) - data = response.json() + try: + with httpx.Client(timeout=HTTP_TIMEOUT) as client: + response = client.post(OPENROUTER_URL, headers=headers, json=payload) + except httpx.RequestError as exc: + # Network-level failure: DNS, TCP, timeout, connection reset. + # Distinct from a provider 5xx (which is also a transport-class + # error but at least returned a response). + raise TransportError( + f"OpenRouter request failed before response: {exc}", + model=model, + provider="openrouter", + ) from exc + + if response.status_code >= 400: + raise _classify_http_error( + response.status_code, response.text, model=model, provider="openrouter" + ) try: - return data["choices"][0]["message"]["content"] - except (KeyError, IndexError) as exc: - sys.stderr.write( - f"ERROR: unexpected OpenRouter response shape ({exc}):\n{data}\n" + data = response.json() + except ValueError as exc: + raise ProviderHiccup( + f"OpenRouter returned non-JSON response: {exc}", + detail=response.text[:1000], + model=model, + provider="openrouter", + ) from exc + + choices = data.get("choices") or [] + if not choices: + raise ProviderHiccup( + "OpenRouter response had no choices", + detail=str(data)[:1000], + model=model, + provider="openrouter", ) - sys.exit(1) + choice = choices[0] + finish_reason = (choice.get("finish_reason") or choice.get("native_finish_reason") or "").lower() + message = choice.get("message") or {} + content = message.get("content") + + if content: + return content + + # Null / empty content -- classify by finish_reason. + if finish_reason in ("safety", "content_filter", "content-filter", "blocked"): + raise SafetyRefusal( + f"Model refused with finish_reason={finish_reason!r}", + detail=str(data)[:1000], + model=model, + provider="openrouter", + ) + if finish_reason in ("length", "max_tokens"): + raise ContextOverflow( + f"Hit max_tokens ({max_tokens}) before producing content " + f"(finish_reason={finish_reason!r})", + detail=str(data)[:1000], + model=model, + provider="openrouter", + ) + raise ProviderHiccup( + f"Null content with finish_reason={finish_reason!r}", + detail=str(data)[:1000], + model=model, + provider="openrouter", + ) def call_gemini( @@ -526,7 +801,8 @@ def call_gemini( ) -> str: """POST to Google AI Studio's ``generateContent`` endpoint directly. Caller builds the prompts (same as ``call_openrouter``) so the wire - path is mode-agnostic. + path is mode-agnostic. Raises typed ``ReviewError`` subclasses; see + README "Error model". """ payload = { "contents": [ @@ -551,34 +827,111 @@ def call_gemini( } url = GEMINI_URL_TEMPLATE.format(model=model) - with httpx.Client(timeout=HTTP_TIMEOUT) as client: - response = client.post(url, headers=headers, json=payload) - if response.status_code >= 400: - sys.stderr.write( - f"ERROR: Gemini API returned HTTP {response.status_code}\n" - f"{response.text}\n" - ) - sys.exit(1) + try: + with httpx.Client(timeout=HTTP_TIMEOUT) as client: + response = client.post(url, headers=headers, json=payload) + except httpx.RequestError as exc: + raise TransportError( + f"Gemini request failed before response: {exc}", + model=model, + provider="gemini", + ) from exc + + if response.status_code >= 400: + raise _classify_http_error( + response.status_code, response.text, model=model, provider="gemini" + ) + + try: data = response.json() + except ValueError as exc: + raise ProviderHiccup( + f"Gemini API returned non-JSON response: {exc}", + detail=response.text[:1000], + model=model, + provider="gemini", + ) from exc + + # Gemini can refuse at the prompt level (before generation) by + # returning ``promptFeedback.blockReason`` with no candidates. + prompt_feedback = data.get("promptFeedback") or {} + block_reason = prompt_feedback.get("blockReason") + if block_reason: + raise SafetyRefusal( + f"Gemini blocked prompt: blockReason={block_reason!r}", + detail=str(data)[:1000], + model=model, + provider="gemini", + ) + + candidates = data.get("candidates") or [] + if not candidates: + raise ProviderHiccup( + "Gemini response had no candidates", + detail=str(data)[:1000], + model=model, + provider="gemini", + ) + candidate = candidates[0] + finish_reason = (candidate.get("finishReason") or "").upper() + content_block = candidate.get("content") or {} + parts = content_block.get("parts") or [] + text = "".join(part.get("text", "") for part in parts) + + if text: + return text + + # Null / empty content -- classify by finishReason. + if finish_reason == "SAFETY": + raise SafetyRefusal( + "Gemini refused output with finishReason=SAFETY", + detail=str(data)[:1000], + model=model, + provider="gemini", + ) + if finish_reason == "MAX_TOKENS": + raise ContextOverflow( + f"Hit maxOutputTokens ({max_tokens}) before producing content " + "(finishReason=MAX_TOKENS)", + detail=str(data)[:1000], + model=model, + provider="gemini", + ) + raise ProviderHiccup( + f"Empty content with finishReason={finish_reason!r}", + detail=str(data)[:1000], + model=model, + provider="gemini", + ) + +def _retry_on_recoverable(call: Callable[[], T], *, label: str) -> T: + """Run ``call``; on ``ProviderHiccup`` or ``TransportError`` retry once. + + Single retry only -- we deliberately do NOT compound on safety refusals + or rate limits (a second call to the same model with the same prompt + almost always reproduces those, and burns tokens) or context overflows + (the scope is wrong, not the call). Caller can chain its own retries + on the surviving exception if it wants exponential backoff. + + ``label`` shows up in the retry-notice stderr line so a viewer scrolling + the log can tell which call retried. + """ try: - # The generateContent response wraps the model output in - # candidates[0].content.parts[]; concatenate parts in case the - # model returned multiple text parts (rare for code review but - # documented as possible). - parts = data["candidates"][0]["content"]["parts"] - return "".join(part.get("text", "") for part in parts) - except (KeyError, IndexError) as exc: + return call() + except (ProviderHiccup, TransportError) as exc: sys.stderr.write( - f"ERROR: unexpected Gemini response shape ({exc}):\n{data}\n" + f"[retry] {exc.category} on first attempt ({label}); " + "retrying once in 2s...\n" ) - sys.exit(1) + time.sleep(2) + return call() def _resolve_model(args: argparse.Namespace) -> str: """Resolve the final model slug from CLI flag, env var, alias table, - or provider default. Errors out if an alias is used with the wrong - provider (the Gemini API direct path takes bare Gemini model names + or provider default. Raises ``ConfigError`` if an alias is used with the + wrong provider (the Gemini API direct path takes bare Gemini model names only -- a non-Gemini alias like ``claude`` is a category error there). """ if args.model is not None: @@ -590,20 +943,41 @@ def _resolve_model(args: argparse.Namespace) -> str: if model in MODEL_ALIASES: if args.provider != "openrouter": - sys.stderr.write( - f"ERROR: model alias `{model}` is only valid with " - f"--provider openrouter. The Gemini API direct path takes " - f"bare Gemini model names only (e.g. gemini-2.5-pro, " - f"gemini-2.5-flash). Either pass --provider openrouter to " - f"use this alias, or pass --model gemini-2.5-pro / " - f"--model gemini-2.5-flash for the direct path.\n" + raise ConfigError( + f"Model alias `{model}` is only valid with --provider openrouter. " + f"The Gemini API direct path takes bare Gemini model names only " + f"(e.g. gemini-2.5-pro, gemini-2.5-flash). Either pass " + f"--provider openrouter to use this alias, or pass " + f"--model gemini-2.5-pro / --model gemini-2.5-flash for the " + f"direct path." ) - sys.exit(2) model = MODEL_ALIASES[model] return model +def _print_error(err: ReviewError) -> None: + """Emit a structured stderr block for ``err``. + + First line is the stable machine-parseable prefix: + ``ERROR: [exit ]``. Subsequent lines are human-readable + detail. LLM callers can grep for the first line to classify; humans can + read the body. + """ + sys.stderr.write(f"ERROR: {err.category} [exit {err.exit_code}]\n") + sys.stderr.write(f"Reason: {err}\n") + if err.model: + sys.stderr.write(f"Model: {err.model}\n") + if err.provider: + sys.stderr.write(f"Provider: {err.provider}\n") + sys.stderr.write(f"Suggested: {err.suggested}\n") + if err.detail: + # Truncate to keep the stderr block scannable; full body is on + # ``err.detail`` if a caller wants programmatic access. + snippet = err.detail if len(err.detail) <= 400 else err.detail[:400] + "..." + sys.stderr.write(f"Detail: {snippet}\n") + + def _ensure_utf8_stdout() -> None: """Reconfigure stdout/stderr to UTF-8 if they aren't already. @@ -742,8 +1116,36 @@ def main() -> None: "$CODE_REVIEW_MAX_TOKENS." ), ) + parser.add_argument( + "--context", + default=None, + metavar="TEXT", + help=( + "Safety-context prefix prepended to every review prompt. " + "Reduces false-positive content-filter refusals on security " + "/ policy / adversarial-fixture code (the kind that contains " + "words like 'attack', 'sanctions', 'prompt injection' out of " + "context). Defaults to a generic 'authorized code review' " + "framing; override with this flag or $CODE_REVIEW_CONTEXT to " + "match your project's subject matter." + ), + ) + parser.add_argument( + "--no-context", + action="store_true", + help=( + "Disable the safety-context prefix entirely. Useful only if " + "the default phrasing itself is what triggers a refusal " + "(rare). Mutually exclusive with --context." + ), + ) args = parser.parse_args() + if args.no_context and args.context is not None: + raise ConfigError( + "--no-context and --context are mutually exclusive. Pick one." + ) + model = _resolve_model(args) # Resolve temperature: explicit CLI flag wins, then env, then default. @@ -753,12 +1155,11 @@ def main() -> None: env_temp = os.getenv("CODE_REVIEW_TEMPERATURE") try: temperature = float(env_temp) if env_temp is not None else DEFAULT_TEMPERATURE - except ValueError: - sys.stderr.write( - f"ERROR: $CODE_REVIEW_TEMPERATURE={env_temp!r} is not a " - "valid float. Unset it or pass --temperature explicitly.\n" - ) - sys.exit(2) + except ValueError as exc: + raise ConfigError( + f"$CODE_REVIEW_TEMPERATURE={env_temp!r} is not a valid float. " + "Unset it or pass --temperature explicitly." + ) from exc # Resolve max_tokens with the same precedence. if args.max_tokens is not None: @@ -767,34 +1168,43 @@ def main() -> None: env_max = os.getenv("CODE_REVIEW_MAX_TOKENS") try: max_tokens = int(env_max) if env_max is not None else DEFAULT_MAX_TOKENS - except ValueError: - sys.stderr.write( - f"ERROR: $CODE_REVIEW_MAX_TOKENS={env_max!r} is not a " - "valid integer. Unset it or pass --max-tokens explicitly.\n" - ) - sys.exit(2) + except ValueError as exc: + raise ConfigError( + f"$CODE_REVIEW_MAX_TOKENS={env_max!r} is not a valid integer. " + "Unset it or pass --max-tokens explicitly." + ) from exc + + # Resolve safety context: --no-context wins, then explicit --context, + # then env, then default. Empty string from env is treated as "use + # default" rather than "disabled" -- pass --no-context explicitly to + # disable, since an env value of "" is more likely a misconfig than + # intent. + if args.no_context: + context: str | None = None + elif args.context is not None: + context = args.context + else: + context = os.getenv("CODE_REVIEW_CONTEXT") or DEFAULT_CONTEXT # Resolve and validate the API key for the chosen provider before # touching git / GitHub so the user fails fast on configuration errors. if args.provider == "openrouter": api_key = os.getenv("OPENROUTER_API_KEY") if not api_key: - sys.stderr.write( - "ERROR: OPENROUTER_API_KEY not set. Copy .env.example to " + raise ConfigError( + "OPENROUTER_API_KEY not set. Copy .env.example to " f".env at {ROOT} and fill in your key, or rerun with " - "--provider gemini if you only have a Gemini API key.\n" + "--provider gemini if you only have a Gemini API key." ) - sys.exit(2) else: # gemini api_key = os.getenv("GEMINI_API_KEY") if not api_key: - sys.stderr.write( - "ERROR: GEMINI_API_KEY not set. Copy .env.example to .env " + raise ConfigError( + "GEMINI_API_KEY not set. Copy .env.example to .env " f"at {ROOT} and fill in your Google AI Studio key, or " "rerun with --provider openrouter if you only have an " - "OpenRouter key.\n" + "OpenRouter key." ) - sys.exit(2) # Build the payload for the chosen mode. ``--include`` / ``--exclude`` # are codebase-mode-only -- warn if they show up alongside a diff @@ -816,24 +1226,24 @@ def main() -> None: key=lambda x: x[1], reverse=True, ) - sys.stderr.write( - f"ERROR: codebase bundle is {len(bundle):,} chars " + largest = "\n".join( + f" {_format_size(size):>10} {path.as_posix()}" + for path, size in sized[:10] + ) + raise ContextOverflow( + f"Codebase bundle is {len(bundle):,} chars " f"(limit {MAX_BUNDLE_CHARS:,}). Narrow with --include " - "or --exclude. Largest files in current selection:\n" + "or --exclude.", + detail="Largest files in current selection:\n" + largest, + model=model, + provider=args.provider, ) - for path, size in sized[:10]: - # Right-justify the formatted size for visual alignment; - # 10 chars fits "999 KB", "99.9 MB", etc. - sys.stderr.write( - f" {_format_size(size):>10} {path.as_posix()}\n" - ) - sys.exit(1) sys.stderr.write( f"Reviewing {len(files)} file(s) ({len(bundle):,} chars) " f"with `{model}` via {args.provider} " f"(T={temperature}, max_tokens={max_tokens})...\n" ) - system_prompt, user_prompt = build_codebase_prompts(bundle) + system_prompt, user_prompt = build_codebase_prompts(bundle, context) else: if args.include or args.exclude: sys.stderr.write( @@ -851,37 +1261,59 @@ def main() -> None: f"Reviewing {len(diff):,}-char diff with `{model}` via " f"{args.provider} (T={temperature}, max_tokens={max_tokens})...\n" ) - system_prompt, user_prompt = build_diff_prompts(diff) + system_prompt, user_prompt = build_diff_prompts(diff, context) # Wire-format dispatch. Both providers take the same (system, user) - # prompt pair; only the request shape differs. + # prompt pair; only the request shape differs. ``_retry_on_recoverable`` + # wraps the call so a single provider hiccup or 5xx is absorbed + # automatically; other typed errors (safety, rate limit, context + # overflow, config) surface immediately for the caller to handle. if args.provider == "openrouter": referer = os.getenv( "OPENROUTER_HTTP_REFERER", "https://github.com/Airwhale/local-gemini-code-review", ) title = os.getenv("OPENROUTER_X_TITLE", "OpenRouter Code Review") - output = call_openrouter( - system_prompt=system_prompt, - user_prompt=user_prompt, - model=model, - api_key=api_key, - referer=referer, - title=title, - temperature=temperature, - max_tokens=max_tokens, + output = _retry_on_recoverable( + lambda: call_openrouter( + system_prompt=system_prompt, + user_prompt=user_prompt, + model=model, + api_key=api_key, + referer=referer, + title=title, + temperature=temperature, + max_tokens=max_tokens, + ), + label="openrouter", ) else: # gemini - output = call_gemini( - system_prompt=system_prompt, - user_prompt=user_prompt, - model=model, - api_key=api_key, - temperature=temperature, - max_tokens=max_tokens, + output = _retry_on_recoverable( + lambda: call_gemini( + system_prompt=system_prompt, + user_prompt=user_prompt, + model=model, + api_key=api_key, + temperature=temperature, + max_tokens=max_tokens, + ), + label="gemini", ) print(output) +def _entrypoint() -> None: + """Top-level entry that maps typed errors to exit codes. + + Keeping the try/except out of ``main`` itself means ``main`` can be + imported and unit-tested without the process-exit side effect. + """ + try: + main() + except ReviewError as err: + _print_error(err) + sys.exit(err.exit_code) + + if __name__ == "__main__": - main() + _entrypoint() From b12450113e54fea354e6837847558ba7e4e25a2b Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Sat, 16 May 2026 15:17:58 -0700 Subject: [PATCH 15/19] Pre-number bundle lines so codebase-mode line refs are accurate The whole-codebase bundle had no per-line anchors, so the model had to count lines to produce a line-number reference. LLMs are bad at that: findings on long files (>500 lines) drifted by 50-150 lines, with direction varying (sometimes too high, sometimes too low). Drift correlated with file size, consistent with "the model estimates from visual position rather than counting." Diff mode never had this problem because ``git diff -U5`` already embeds ``@@ -L,N +L,N @@`` anchors plus context lines -- the model transcribes from those instead of counting. Fix: prefix every content line in the bundle with its 1-indexed line number, ``cat -n`` style, e.g. `` 808: def _markdown_to_html(...):``. Turns the line-number reference task from arithmetic (which the model cannot do reliably) into transcription (which it does well). Skill + command prompts updated to tell the model to transcribe the prefix verbatim instead of counting. Token cost: ~5-7 chars per line. A 50K-char bundle with ~1500 lines adds ~10K chars (~2.5K tokens, ~6% input overhead). Cheap. Verified on a 1087-line file: every finding's line number was exactly correct. Previous behavior on the same scope would have been off by 50-150 lines. Co-Authored-By: Claude Opus 4.7 (1M context) --- commands/codebase-review.toml | 2 +- review.py | 40 +++++++++++++++++++++++++++- skills/code-review-codebase/SKILL.md | 2 +- 3 files changed, 41 insertions(+), 3 deletions(-) diff --git a/commands/codebase-review.toml b/commands/codebase-review.toml index 0b8de2f..672242b 100644 --- a/commands/codebase-review.toml +++ b/commands/codebase-review.toml @@ -1,7 +1,7 @@ description = "Reviews the whole tracked codebase (or a filtered subset) as a single bundle" prompt = """ - **Codebase**: see the bundle below. Each file is delimited by a line of the exact form `======== FILE: ========`. Treat the content between two delimiters as the file's contents; line numbers are 1-indexed within each file, starting at the line immediately following the delimiter. + **Codebase**: see the bundle below. Each file is delimited by a line of the exact form `======== FILE: ========`. Treat the content between two delimiters as the file's contents. **Each content line is prefixed with its 1-indexed line number followed by `: ` (e.g. ` 808: def foo():`).** When you cite a line in your findings, transcribe the prefix value verbatim — do not count lines yourself. The line number is the position in that specific file's content (1-indexed at the line immediately following the delimiter), not a position in the overall bundle. diff --git a/review.py b/review.py index 69e487d..6de9550 100644 --- a/review.py +++ b/review.py @@ -615,6 +615,39 @@ def gather_codebase_files( return kept +def _number_lines(content: str) -> str: + """Prefix each line with its 1-indexed line number, ``cat -n`` style. + + LLMs cannot reliably count lines in long files. Without explicit + line numbers in the bundle, the model estimates line positions from + visual context and drifts by 50-150 lines on files >500 lines (and + 5-15 lines on files >100). Prefixing every line with its number + turns "report a line number" from an arithmetic task (which + transformers cannot do reliably) into a transcription task (which + they do well). + + Diff mode doesn't need this -- ``git diff -U5`` already embeds + ``@@ -L,N +L,N @@`` anchors plus context lines, so the model + transcribes from those. The whole-codebase bundle has no such + anchors, which is why this helper exists. + + Format: ``d: ``, right-aligned, minimum 6-char width + matching ``cat -n``. Trailing newline (if any) is preserved. + """ + if not content: + return content + had_trailing_newline = content.endswith("\n") + lines = content.splitlines() + if not lines: + return content + width = max(6, len(str(len(lines)))) + numbered = "\n".join( + f"{index:>{width}d}: {line}" + for index, line in enumerate(lines, start=1) + ) + return numbered + "\n" if had_trailing_newline else numbered + + def bundle_codebase(file_paths: list[Path]) -> str: """Concatenate the given files into a single delimited bundle. @@ -624,12 +657,17 @@ def bundle_codebase(file_paths: list[Path]) -> str: still reviewable. In practice this only triggers on files that should have been excluded by the asset-extension filter -- a true source file with a stray non-UTF8 byte is rare. + + Each file's content is line-numbered via ``_number_lines`` before + bundling so the model can reference accurate line numbers in its + findings without having to count lines itself. See that helper for + the rationale. """ parts: list[str] = [] for path in file_paths: content = path.read_text(encoding="utf-8", errors="replace") delimiter = FILE_DELIMITER_TEMPLATE.format(path=path.as_posix()) - parts.append(f"{delimiter}\n{content}") + parts.append(f"{delimiter}\n{_number_lines(content)}") return "\n\n".join(parts) diff --git a/skills/code-review-codebase/SKILL.md b/skills/code-review-codebase/SKILL.md index ab6422f..70dbf82 100644 --- a/skills/code-review-codebase/SKILL.md +++ b/skills/code-review-codebase/SKILL.md @@ -24,7 +24,7 @@ The user prompt contains the codebase as a series of files concatenated together ======== FILE: ======== ``` -The lines between two delimiters are the file's contents. Line numbers are **1-indexed within each file**, starting at the line immediately following the delimiter. When you reference a line, the line number is the position in that specific file's content, not a position in the overall bundle. +The lines between two delimiters are the file's contents. **Each content line is prefixed with its 1-indexed line number followed by ``: ``** (e.g. `` 808: def _markdown_to_html(source: str) -> str:``). When you reference a line in your findings, use that prefix value verbatim as the line number — do not count lines yourself, just transcribe the prefix from the line you are commenting on. The line number is the position in that specific file's content (1-indexed at the line immediately following the delimiter), not a position in the overall bundle. ## Instructions From 78813d0fd425bd9f1be04761a63313f6ac70f42f Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Sat, 16 May 2026 15:29:36 -0700 Subject: [PATCH 16/19] README + runbook: inline the canonical iteration flow for LLM callers The README's "For LLM coding agents" section previously just pointed at the runbook. After running real review cycles, the flow is stable enough that an LLM agent landing on the README should get the procedure inline -- not a redirect that requires a second doc read before the first invocation. Adds to README: - 9-step canonical iteration flow with explicit stop conditions (clean output / hallucination-only round / 4-round ceiling). - ``git add -N`` trick for reviewing untracked files (codebase mode uses ``git ls-files`` and skips untracked files otherwise). - Hedged findings ("if X is true, this is HIGH") as a decline signal -- empirically they resolve as false positives more often than as real bugs. - Self-refuting findings (suggested fix matches existing code) as a no-action hallucination pattern. - Reference to the line-number prefix fix (b124501) so a caller knows codebase-mode line numbers are now reliable. - Per-round ledger template the cycle output settles into. Runbook expanded in parallel: - Iteration-loop pseudocode now includes the ``git add -N`` step and the multi-condition stop check. - Accept/decline heuristics gain the "hedged" and "self-refuting" shapes with concrete examples drawn from real review cycles. - Known gotchas note that codebase-mode line drift was a real pre-b124501 issue; if it returns, that's a regression worth investigating not a workaround to write. No code changes. Documentation only. Co-Authored-By: Claude Opus 4.7 (1M context) --- README.md | 44 ++++++++++++++++++++++++++++++++- docs/llm-code-review-runbook.md | 37 ++++++++++++++++++--------- 2 files changed, 68 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index 24b0b3b..9a64417 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,49 @@ This tool is **LLM-friendly by design**. It's built to be invoked by AI coding a > **If you're an LLM agent reading this repository, your canonical entry point is [`docs/llm-code-review-runbook.md`](./docs/llm-code-review-runbook.md).** > -> That file is the operational manual — exact invocation patterns, accept / decline heuristics, the decline-comment contract that makes the iteration loop converge instead of churning on the same finding every pass, the known gotchas, and the per-round tracking template. It is written to be self-contained: you can pick it up cold and start producing clean review cycles without any other context. +> That file is the operational manual. The flow below is a fast-start summary; the runbook expands every step with examples, declined-finding patterns, and per-round tracking templates. + +### Canonical iteration flow + +This is the loop that's been validated in real review cycles. Follow it verbatim until you've internalised why each step exists. + +1. **Pick a scope.** Diff mode for in-progress work (`--base origin/main` for the current branch, `--pr ` for a PR, `--staged` for pre-commit). Codebase mode for audits of files not under active change (`--codebase --include 'backend/foo/**'`). +2. **If files are untracked**, `git ls-files`-based codebase mode won't see them. Run `git add -N ` first (intent-to-add, no staged content). The tool will then bundle them. Don't unstage afterward unless you actually intend to leave them untracked. +3. **Run the review.** A clean codebase output ends in `No issues found. Code looks clean.`; a clean diff ends in `No issues found. Code looks clean and ready to merge.` +4. **For each finding, decide accept or decline.** + * **Accept by default**: CRITICAL/HIGH bugs, MEDIUM correctness/concurrency/atomicity, MEDIUM defensive-coding, trivially-correct LOW. + * **Decline (and add a code comment explaining why)**: findings that contradict load-bearing design intent, findings that would untighten a deliberately-tight test, stylistic preferences without a correctness delta. + * **Hedged findings ("if X is true, this is HIGH/CRITICAL") are a decline signal until you verify X.** The reviewer hedges when it lacks evidence; in practice these resolve as false positives more often than as real bugs. Treat the hedge as a flag to spot-check the premise, not as an instruction to act. +5. **Apply accepted fixes inline. Do NOT commit between rounds.** `--base ` uses a two-dot diff, so working-tree edits show up in the next run. +6. **For each declined finding, add a code comment** immediately adjacent to the flagged line explaining the rejection. Without it, the next round re-flags the same finding. This is the central operational rule that makes the loop converge. +7. **Re-run.** Repeat steps 3–6. +8. **Stop conditions** (in priority order): + * Output is clean ("No issues found...") → done. + * A round produces only hallucinated findings (wrong line numbers, contradictory suggestions, or claims that don't match the code) → done; the model has run out of substantive material. + * You've hit 4 rounds → done; remaining findings are usually noise or out of scope. +9. **Run tests + build.** Commit. Push. + +### What "hallucination" looks like in practice + +The model occasionally fabricates a finding it then partially refutes — e.g., *"This call passes the wrong type at L772. A better fix would be to pass the list of vectors directly"* — when the existing code at the actual (non-L772) line already does exactly the "better fix." When you see a finding's own suggested fix match the existing code, decline without action. + +Pre-fix to v1.1, line numbers in codebase mode drifted 5–150 lines depending on file size. As of [b124501](https://github.com/Airwhale/local-gemini-code-review/commit/b124501) the bundle pre-numbers every line (`cat -n` style) and the model transcribes the prefix instead of counting; codebase-mode line numbers are now exact. If you see drift again, that's a regression — file an issue. + +### Per-round ledger + +Keep one row per finding so the final commit message or PR comment can summarise the cycle: + +``` +| Round | File | Line | Severity | Finding | Action | +|-------|------|------|----------|----------------------------------|---------------------| +| 1 | a.py | 808 | LOW | Custom markdown parser fragile | Declined w/ comment | +| 1 | b.py | 111 | MEDIUM | Missing type hint on `result` | Applied | +| 2 | a.py | 313 | MEDIUM | Silent LLMClient fallback | Applied | +| 3 | - | - | - | Vector sum duplication | Declined w/ comment | +| 4 | - | - | - | Hallucination (line mismatch) | No action | +``` + +This is the artifact a human reviewer reads to understand what changed and why. The runbook's "Per-round tracking" section has the long form. The rest of this README is the general-audience documentation (humans, contributors, anyone evaluating the fork). The runbook is the agent-targeted documentation, and it is the file to read first if your job is to use the tool, not understand its provenance. diff --git a/docs/llm-code-review-runbook.md b/docs/llm-code-review-runbook.md index ee4d1ef..8abc2a2 100644 --- a/docs/llm-code-review-runbook.md +++ b/docs/llm-code-review-runbook.md @@ -111,19 +111,28 @@ Output is the same severity-tagged per-file findings format as diff mode — sam ``` 1. Edit the target repo (fix a bug, build a feature, etc.). -2. Run: uv run --project /review.py --base origin/main -3. Read the structured-markdown output. Findings are tagged +2. (If reviewing untracked files in codebase mode: `git add -N ` + first so `git ls-files` sees them. No staged content; just makes + them visible to the bundler.) +3. Run: uv run --project /review.py --base origin/main +4. Read the structured-markdown output. Findings are tagged CRITICAL > HIGH > MEDIUM > LOW. -4. For each finding, decide: accept or decline. -5. Apply accepted fixes inline. Do NOT commit yet. -6. Re-run step 2. -7. Repeat until output is: - "No issues found. Code looks clean and ready to merge." -8. Run tests + build. Commit. Push. +5. For each finding, decide: accept or decline. +6. Apply accepted fixes inline. Do NOT commit yet. +7. Re-run step 3. +8. Repeat until ONE of: + - Output is "No issues found. Code looks clean..." + - A round produces only hallucinated findings (decline-only round) + - You have hit 4 rounds and remaining findings are stylistic noise +9. Run tests + build. Commit. Push. ``` **Do not commit between rounds.** `--base origin/main` uses a two-dot diff (`git diff -U5 `), which includes working-tree edits. Re-running picks up in-progress fixes immediately. Committing every round produces noisy history; the reviewer is happy reviewing uncommitted edits. +**The 4-round cap is a pragmatic ceiling, not a hard rule.** Empirically, real bugs surface in rounds 1–3 and round 4 is usually either clean or "all hallucinations." If round 4 is still producing substantive findings, the diff is too large — split it. + +**Codebase mode requires tracked files.** The runner uses `git ls-files` for safety (so it doesn't accidentally review `.venv/`, build artefacts, etc.). For new code that hasn't been committed yet, `git add -N ` marks files as intent-to-add — they appear in `git ls-files` but their content stays unstaged. This is the cleanest way to get a review on work-in-progress without committing prematurely. + --- ## Accept / decline heuristics @@ -140,6 +149,8 @@ Output is the same severity-tagged per-file findings format as diff mode — sam - Findings that contradict load-bearing design intent already encoded. *Shape:* a pair of API endpoints that look redundant but are deliberately split for a planned future migration. The reviewer doesn't know your roadmap unless your code comments tell it. - Findings that would untighten a deliberately-tight test. *Shape:* a hardcoded expected count the reviewer wants computed dynamically from the fixture — that turns the test into a tautology (*what the code reads == what the code reports*) and removes the regression-catch. - Stylistic preferences that don't change correctness when the existing form has a defensible rationale. *Shape:* a cache `maxsize` chosen with deliberate headroom for test fixtures rather than the obvious-singleton value. +- **Hedged findings ("if X is true, this is HIGH/CRITICAL").** The reviewer hedges when it lacks evidence to fully evaluate a hypothesis. In practice these resolve as false positives more often than as real bugs. *Shape:* "If `approved_body_hash` doesn't exclude `route_approval`, this is CRITICAL" — verify the premise (`approved_body_hash` does exclude it via an explicit `APPROVED_BODY_HASH_EXCLUDES` constant) before acting. Treat the hedge as a flag to spot-check the premise, not as an instruction. +- **Self-refuting findings.** When a finding's own "better fix" matches the existing code, the reviewer hallucinated a bug it then walked back. *Shape:* "Wrong type at L772 — a better fix would be to pass the list of vectors directly" when the actual line (which may not even be L772) already does exactly that. Decline without action; no code comment needed because the next round won't re-flag the same hallucination consistently. --- @@ -182,16 +193,18 @@ See the README's "Safety context" section for the default phrasing. 1. **Free-tier 429 on Gemini direct.** `--provider gemini --model gemini-2.5-pro` requires a paid Google AI Studio plan; the free tier returns HTTP 429 immediately (`RATE_LIMIT`, exit 11). Either use `--provider openrouter` (preferred) or `--model gemini-2.5-flash`. -2. **Two-dot vs three-dot diff.** `--base ` uses two-dot (`git diff -U5 `) so working-tree changes show up. Three-dot (`...HEAD`) would show only committed changes and the reviewer would keep re-flagging the same issues. The two-dot semantics is intentional for the iteration workflow. +2. **Codebase mode line numbers used to drift.** Before commit `b124501`, the bundle had no per-line anchors and the model estimated line positions from visual context, drifting 5–150 lines depending on file size. As of `b124501` every content line is pre-numbered (`cat -n` style) and the model transcribes the prefix instead of counting. If you ever see drift again on a current build, that's a regression worth investigating — the prompt or bundle format may have been changed in a way that broke the contract. + +3. **Two-dot vs three-dot diff.** `--base ` uses two-dot (`git diff -U5 `) so working-tree changes show up. Three-dot (`...HEAD`) would show only committed changes and the reviewer would keep re-flagging the same issues. The two-dot semantics is intentional for the iteration workflow. -3. **Diff size shapes round count.** Larger diffs surface more findings per round and take more rounds to converge. Rough observed shapes: +4. **Diff size shapes round count.** Larger diffs surface more findings per round and take more rounds to converge. Rough observed shapes: - Small PR (~25K-char diff, single feature): 3–4 rounds - Medium PR (~50K chars): 4–6 rounds - Large PR (~300K chars): 8–12 rounds -4. **`tee` to a file.** When output is large, pipe to `tee /tmp/review.md` so you can re-read findings without re-invoking the tool. Saves context budget on subsequent steps. +5. **`tee` to a file.** When output is large, pipe to `tee /tmp/review.md` so you can re-read findings without re-invoking the tool. Saves context budget on subsequent steps. -5. **Codebase-mode bundle cap.** `--codebase` enforces a 700 K-char (~175 K-token) pre-flight cap on the concatenated bundle. If you hit it, the runner exits with `CONTEXT_OVERFLOW` (exit 12) and lists the 10 largest files in the current selection — use those to target `--exclude` flags. Common offenders: vendored fixture JSON, committed schema dumps, test data files. +6. **Codebase-mode bundle cap.** `--codebase` enforces a 700 K-char (~175 K-token) pre-flight cap on the concatenated bundle. If you hit it, the runner exits with `CONTEXT_OVERFLOW` (exit 12) and lists the 10 largest files in the current selection — use those to target `--exclude` flags. Common offenders: vendored fixture JSON, committed schema dumps, test data files. --- From 9493b9f44058881fd1ff4a4cd2b7db96b6c4d0d9 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Sat, 16 May 2026 15:38:47 -0700 Subject: [PATCH 17/19] Self-review pass: clean up argparse default + document declined nits Ran ``review.py --codebase`` against itself for two rounds. Six total findings, one applied, five declined with decline-comments so future self-review rounds don't churn on the same nits. Applied (round 1): - ``--include`` / ``--exclude`` argparse args now use ``default=[]`` instead of ``default=None``. The argparse append-mutates-default quirk only matters across multiple ``parse_args()`` calls in one process, which a one-shot CLI never does. Drops two ``or []`` call-site normalizations. Declined-with-comments (preserves runbook's "decline comment as contract with the next review round"): - Round 1 L545: ``Sequence[str]`` would silently accept a ``str`` (which iterates as single-char strings) and hide a real caller bug; explicit ``tuple | list`` blocks it at type-check time. - Round 1 L551: Reviewer's "fnmatch ``*`` doesn't match ``/``" correction is empirically false (``fnmatch.fnmatch("a/b.py", "*.py") == True``). Existing docstring is correct; comment expanded to cite Python docs and the verified behavior. - Round 2 L280: GPT-5 / GPT-5-mini aliases flagged as nonexistent. Reviewer's training cutoff predates their release; OpenRouter catalog has them today. Comment now calls out that an older reviewer may re-flag. - Round 2 L1203: "Extract a helper for config resolution." Two call sites is too few to justify a 6-param abstraction that hides the env-var names from grep. - Round 2 L1277: "Avoid redundant ``stat()`` calls." Cold error path; changing ``gather_codebase_files`` return type from ``list[Path]`` to ``list[tuple[Path, int]]`` for one syscall per file isn't a net win. Co-Authored-By: Claude Opus 4.7 (1M context) --- review.py | 41 +++++++++++++++++++++++++++++++++++++---- 1 file changed, 37 insertions(+), 4 deletions(-) diff --git a/review.py b/review.py index 6de9550..ab8a45b 100644 --- a/review.py +++ b/review.py @@ -276,7 +276,11 @@ class TransportError(ReviewError): "claude": "anthropic/claude-sonnet-4.5", "claude-sonnet": "anthropic/claude-sonnet-4.5", "claude-opus": "anthropic/claude-opus-4.5", - # OpenAI / GPT family. + # OpenAI / GPT family. These slugs are current OpenRouter catalog + # entries; an older reviewer with a pre-2025 training cutoff may + # flag them as nonexistent because GPT-5 / GPT-5-mini postdate that + # cutoff. Verify against the live catalog before "fixing" them back + # to gpt-4o. "gpt": "openai/gpt-5", "gpt-mini": "openai/gpt-5-mini", # DeepSeek -- cheap, surprisingly strong at code review. @@ -551,6 +555,20 @@ def _glob_match(path: Path, patterns: tuple[str, ...] | list[str]) -> bool: rather than only at the repo root. fnmatch treats ``*`` as matching everything including ``/``, so ``*.py`` matches all Python files regardless of nesting; this is intentional and documented. + + Verified: ``fnmatch.fnmatch("foo/bar.py", "*.py") == True``. Python + docs (fnmatch module): "Note that the filename separator (os.sep on + Unix) is not special to this module." This is the OPPOSITE of + ``glob`` semantics where ``*`` stops at ``/``; do not assume glob + behavior when reading or modifying this function. + + The ``tuple[str, ...] | list[str]`` signature is intentionally + explicit rather than ``Sequence[str]`` -- a ``str`` is itself a + ``Sequence[str]`` (it iterates as single-character strings), so a + looser annotation would silently accept a caller bug like + ``_glob_match(p, "*.py")`` and iterate over individual characters + instead of treating the string as one pattern. The verbose union + blocks that footgun at type-check time. """ posix = path.as_posix() name = path.name @@ -1083,7 +1101,7 @@ def main() -> None: parser.add_argument( "--include", action="append", - default=None, + default=[], metavar="GLOB", help=( "Glob to include in --codebase mode (e.g. " @@ -1094,7 +1112,7 @@ def main() -> None: parser.add_argument( "--exclude", action="append", - default=None, + default=[], metavar="GLOB", help=( "Glob to exclude in --codebase mode (e.g. " @@ -1186,6 +1204,14 @@ def main() -> None: model = _resolve_model(args) + # The two blocks below deliberately duplicate the (CLI -> env -> + # default + validate) resolution pattern instead of extracting a + # generic helper. Two call sites is too few to justify a 6-param + # abstraction (cli_val, env_var_name, default, converter, type_name, + # flag_name), and keeping the env-var names inline makes them + # grep-discoverable ("where does CODE_REVIEW_TEMPERATURE get + # resolved?" returns a single hit). Revisit if a third tunable + # arrives. # Resolve temperature: explicit CLI flag wins, then env, then default. if args.temperature is not None: temperature = args.temperature @@ -1248,7 +1274,7 @@ def main() -> None: # are codebase-mode-only -- warn if they show up alongside a diff # mode rather than silently dropping them. if args.codebase: - files = gather_codebase_files(args.include or [], args.exclude or []) + files = gather_codebase_files(args.include, args.exclude) if not files: sys.stderr.write( "No files matched after --include / --exclude / built-in " @@ -1259,6 +1285,13 @@ def main() -> None: if len(bundle) > MAX_BUNDLE_CHARS: # Show the 10 largest files so the user can target # ``--exclude`` flags effectively rather than guessing. + # We re-stat in this branch rather than threading the + # sizes through ``gather_codebase_files``'s return type: + # this is a cold error path (only fires when the bundle + # exceeds the cap), so the redundant syscalls don't matter, + # and the alternative -- returning ``list[tuple[Path, int]]`` + # from a function that 99% of callers only need ``list[Path]`` + # from -- is a worse signature for a non-hot-path saving. sized = sorted( ((p, p.stat().st_size) for p in files), key=lambda x: x[1], From 1a068002e394374ade442da9feabe43d201df78e Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Sat, 16 May 2026 22:57:13 -0700 Subject: [PATCH 18/19] Rounds 3 + 4: typed errors for git/gh subprocess failures, range validation for sampling envs, safer overflow-message fallback Round 3 (gemini-2.5-pro) and round 4 (claude-sonnet-4.5) of self-review on review.py. The two reviewers found different things: gemini caught one HIGH typed-error contract violation, claude caught five MEDIUM-LOW defensive-coding improvements plus one hallucination. Accepted: 1. Round 3 L490: ``_run_git`` and ``pr_diff`` were calling ``sys.exit()`` on subprocess failure, bypassing the typed error model documented in the README. An LLM caller saw raw subprocess exit codes (often 128 for git, anything for gh) instead of the contract's ``ERROR: CONFIG [exit 2]``. Both now raise ``ConfigError`` with the subprocess stderr in ``detail``. Verified: ``--base nonexistent-ref`` now surfaces the documented CONFIG/2 contract. 2. Round 4 L722: ``_classify_http_error`` matched only three context-overflow phrases (``context_length``, ``too long``, ``exceeds the maximum``). Added ``token limit``, ``input too large``, ``payload size`` -- each observed in real provider error bodies. Moved the phrase set to a named tuple so adding a variant is a one-line edit. 3. Round 4 L824: OpenRouter response classification used ``finish_reason or native_finish_reason`` (truthy fallback). A safety-blocked completion that surfaces as normalized ``finish_reason="stop"`` + raw ``native_finish_reason="safety"`` would miss the SafetyRefusal classification entirely. Now classifies by the UNION of both fields so a safety signal from either source wins over a generic "stop". 4. Round 4 L1227 + L1240: ``CODE_REVIEW_TEMPERATURE`` and ``CODE_REVIEW_MAX_TOKENS`` were converted to numbers but not range- validated. A user setting ``temperature=999`` or ``max_tokens=-1`` would get an opaque provider 4xx (UNKNOWN/1) instead of CONFIG/2. Both now validate range and raise ConfigError before the call. Verified: ``CODE_REVIEW_TEMPERATURE=999`` and ``=0`` both produce typed CONFIG errors with actionable Reason text. 5. Round 4 L1302: Re-stat in the ContextOverflow error path could raise OSError if a file disappeared between ``bundle_codebase`` and the size-rendering branch -- the error path would then crash with an OSError that buries the original overflow message. Wrap the stat in a helper that returns None on OSError and skip missing files. Declined-with-comments: - Round 3 L27 (SKILL.md typo): reviewer's "fix" added an unmatched ``)`` to a function signature example, making it itself broken. Hallucination; no action. - Round 4 L938 (Gemini uppercase / OpenRouter lowercase): casing matches each provider's wire format intentionally; normalizing would create divergence from the actual API response. - Round 4 L6 (placeholder XML tag): reviewer agrees it's stylistic not a bug; current substitution shape works. Co-Authored-By: Claude Opus 4.7 (1M context) --- review.py | 109 ++++++++++++++++++++++++++++++++++++++++-------------- 1 file changed, 81 insertions(+), 28 deletions(-) diff --git a/review.py b/review.py index ab8a45b..9a38e77 100644 --- a/review.py +++ b/review.py @@ -488,11 +488,16 @@ def _run_git(args: list[str]) -> str: errors="replace", ) except subprocess.CalledProcessError as exc: - sys.stderr.write( - f"ERROR: `{' '.join(args)}` failed (exit {exc.returncode})\n" - f"{exc.stderr.strip()}\n" - ) - sys.exit(exc.returncode) + # Raise a typed error rather than ``sys.exit(exc.returncode)`` + # so an LLM caller sees the documented ``ERROR: CONFIG [exit 2]`` + # contract instead of a raw subprocess exit code (which collides + # with the UNKNOWN/1 bucket). Git failures are almost always a + # misconfigured ref / non-git directory / similar setup issue + # the caller has to fix before retry makes sense. + raise ConfigError( + f"`{' '.join(args)}` failed (exit {exc.returncode})", + detail=exc.stderr.strip(), + ) from exc return result.stdout @@ -532,17 +537,18 @@ def pr_diff(pr_number: int) -> str: encoding="utf-8", errors="replace", ) - except FileNotFoundError: - sys.stderr.write( - "ERROR: `gh` not found on PATH. Install GitHub CLI to use --pr.\n" - ) - sys.exit(2) + except FileNotFoundError as exc: + # Same typed-error contract as ``_run_git``: callers see + # ``ERROR: CONFIG [exit 2]`` and know to install ``gh`` / + # adjust PATH before retrying. + raise ConfigError( + "`gh` not found on PATH. Install GitHub CLI to use --pr.", + ) from exc except subprocess.CalledProcessError as exc: - sys.stderr.write( - f"ERROR: `gh pr diff {pr_number}` failed (exit {exc.returncode})\n" - f"{exc.stderr.strip()}\n" - ) - sys.exit(exc.returncode) + raise ConfigError( + f"`gh pr diff {pr_number}` failed (exit {exc.returncode})", + detail=exc.stderr.strip(), + ) from exc return result.stdout @@ -713,7 +719,22 @@ def _classify_http_error( model=model, provider=provider, ) - if status == 413 or "context_length" in body_lower or "too long" in body_lower or "exceeds the maximum" in body_lower: + # Match the family of provider phrases that signal context-length + # overflow, kept as a tuple so adding a new variant is a one-line + # edit. Each phrase was added based on an actual provider response + # observed in the wild or in published vendor docs; do not add + # speculative phrases without verifying a provider uses them, or + # you risk false-positive ContextOverflow classifications on + # unrelated 4xx errors. + CONTEXT_OVERFLOW_PHRASES = ( + "context_length", + "too long", + "exceeds the maximum", + "token limit", + "input too large", + "payload size", + ) + if status == 413 or any(phrase in body_lower for phrase in CONTEXT_OVERFLOW_PHRASES): return ContextOverflow( f"{provider} returned HTTP {status} with context-length indication", detail=body[:1000], @@ -815,31 +836,41 @@ def call_openrouter( provider="openrouter", ) choice = choices[0] - finish_reason = (choice.get("finish_reason") or choice.get("native_finish_reason") or "").lower() + # Inspect both ``finish_reason`` (OpenAI-standard normalized value) + # and ``native_finish_reason`` (OpenRouter's pass-through of the + # underlying provider's raw reason). They can disagree: a provider + # that safety-blocked a completion may surface as + # ``native_finish_reason="safety"`` while the normalized + # ``finish_reason="stop"`` -- preferring one over the other would + # miss that signal. We classify by the UNION of both fields, so a + # safety signal from either source wins over a generic "stop". + finish_reason = (choice.get("finish_reason") or "").lower() + native_finish_reason = (choice.get("native_finish_reason") or "").lower() + finish_reasons = {finish_reason, native_finish_reason} - {""} message = choice.get("message") or {} content = message.get("content") if content: return content - # Null / empty content -- classify by finish_reason. - if finish_reason in ("safety", "content_filter", "content-filter", "blocked"): + # Null / empty content -- classify by the union of finish_reasons. + if finish_reasons & {"safety", "content_filter", "content-filter", "blocked"}: raise SafetyRefusal( - f"Model refused with finish_reason={finish_reason!r}", + f"Model refused with finish_reasons={sorted(finish_reasons)!r}", detail=str(data)[:1000], model=model, provider="openrouter", ) - if finish_reason in ("length", "max_tokens"): + if finish_reasons & {"length", "max_tokens"}: raise ContextOverflow( f"Hit max_tokens ({max_tokens}) before producing content " - f"(finish_reason={finish_reason!r})", + f"(finish_reasons={sorted(finish_reasons)!r})", detail=str(data)[:1000], model=model, provider="openrouter", ) raise ProviderHiccup( - f"Null content with finish_reason={finish_reason!r}", + f"Null content with finish_reasons={sorted(finish_reasons)!r}", detail=str(data)[:1000], model=model, provider="openrouter", @@ -1224,6 +1255,17 @@ def main() -> None: f"$CODE_REVIEW_TEMPERATURE={env_temp!r} is not a valid float. " "Unset it or pass --temperature explicitly." ) from exc + # Validate range here rather than letting the provider 4xx -- catches + # the misconfig as a typed CONFIG error (exit 2) the LLM caller can + # react to, instead of an opaque provider UNKNOWN. ``2.0`` is the + # common ceiling across OpenAI / Anthropic / Gemini; providers that + # accept higher will simply not see it, which is fine. + if not 0.0 <= temperature <= 2.0: + raise ConfigError( + f"temperature={temperature} is out of range [0.0, 2.0]. " + "Set --temperature or $CODE_REVIEW_TEMPERATURE to a value " + "in that range." + ) # Resolve max_tokens with the same precedence. if args.max_tokens is not None: @@ -1237,6 +1279,11 @@ def main() -> None: f"$CODE_REVIEW_MAX_TOKENS={env_max!r} is not a valid integer. " "Unset it or pass --max-tokens explicitly." ) from exc + if max_tokens <= 0: + raise ConfigError( + f"max_tokens={max_tokens} must be positive. " + "Set --max-tokens or $CODE_REVIEW_MAX_TOKENS to a positive integer." + ) # Resolve safety context: --no-context wins, then explicit --context, # then env, then default. Empty string from env is treated as "use @@ -1292,11 +1339,17 @@ def main() -> None: # and the alternative -- returning ``list[tuple[Path, int]]`` # from a function that 99% of callers only need ``list[Path]`` # from -- is a worse signature for a non-hot-path saving. - sized = sorted( - ((p, p.stat().st_size) for p in files), - key=lambda x: x[1], - reverse=True, - ) + # Skip any file that disappeared between ``bundle_codebase`` + # and now (narrow race window but possible on a busy CI box) + # so the error path doesn't itself crash with an + # ``OSError`` and bury the original ContextOverflow message. + def _safe_stat(p: Path) -> tuple[Path, int] | None: + try: + return (p, p.stat().st_size) + except OSError: + return None + sized_pairs = [pair for p in files if (pair := _safe_stat(p))] + sized = sorted(sized_pairs, key=lambda x: x[1], reverse=True) largest = "\n".join( f" {_format_size(size):>10} {path.as_posix()}" for path, size in sized[:10] From 12bdf9ffcc69dbcdd68fc87b42a43361c861be92 Mon Sep 17 00:00:00 2001 From: Shaun Geer Date: Wed, 20 May 2026 12:25:50 -0700 Subject: [PATCH 19/19] feat: add Ollama provider for local code review + retune temperature - New --provider ollama path posts to a local Ollama server via its OpenAI-compat /v1/chat/completions endpoint. No API key required; configurable via OLLAMA_HOST / OLLAMA_MODEL / OLLAMA_TIMEOUT in .env. Default model qwen3-coder:30b (30B MoE coder with ~3.3B active params -- quality/speed sweet spot on CPU because active params drive inference speed, not total params). - Refactor MODEL_ALIASES into per-provider MODEL_ALIASES_BY_PROVIDER. Ollama gets `local` (qwen3-coder:30b) and `local-pro` (qwen3-coder-next). OpenRouter aliases unchanged; gemini-direct remains aliasless. Cross- provider mismatches now surface as typed CONFIG errors that name the right --provider instead of sending an invalid slug upstream. A flat backwards-compat MODEL_ALIASES view over the OpenRouter slice is preserved for any external importer. - New call_ollama() function with surgical error mapping: connection refused -> ConfigError pointing at `ollama serve`; HTTP 404 -> ConfigError with the exact `ollama pull ` command to run; everything else routes through the shared _classify_http_error mapper. No SafetyRefusal branch (Ollama doesn't have a content-filter mode). - Longer default timeout for the Ollama provider (DEFAULT_OLLAMA_TIMEOUT = 1800 s) to absorb CPU cold-starts (10-60 s model load on first call) and thorough reviews of large diffs. - Default temperature lowered from 0.5 to 0.3 after cross-model integration testing observed `google/gemini-2.5-pro` hallucinating a HIGH-severity finding referencing a CLI flag and "help text" that do not exist in the codebase. The suggested fix would have crashed the runner with AttributeError. The constant's docstring carries the full history (0.2 too conservative -> 0.5 hallucinated -> 0.3 compromise). - New --ollama-host CLI flag for non-default ports / hosts / WSL setups without localhost mirroring. - README + .env.example + docs/llm-code-review-runbook.md updated for the three-provider model, the per-provider alias tables, the retuned temperature default, and a new "Local vs cloud" section documenting the opposing failure modes (cloud hallucinates, local under-reports) with the specific cross-model test result as evidence. Co-Authored-By: Claude Opus 4.7 (1M context) --- .env.example | 52 +++- README.md | 63 ++++- docs/llm-code-review-runbook.md | 97 ++++++- review.py | 488 ++++++++++++++++++++++++++------ 4 files changed, 585 insertions(+), 115 deletions(-) diff --git a/.env.example b/.env.example index 0224bb3..149f416 100644 --- a/.env.example +++ b/.env.example @@ -28,15 +28,51 @@ GEMINI_API_KEY= # takes the bare model name (no `google/` prefix). # GEMINI_MODEL=gemini-2.5-pro +# --- Ollama (local LLM) ------------------------------------------------------ +# No API key needed -- Ollama runs locally. Install from https://ollama.com +# (or inside WSL on Windows if Smart App Control / Application Control blocks +# the native installer). Start the server with `ollama serve`, then pull at +# least one model, e.g. `ollama pull qwen3-coder:30b`. +# +# Per-run override: `review.py --provider ollama` + +# Optional: Ollama server URL. Default is http://localhost:11434 which works +# for both native Windows installs and WSL2 with default mirrored networking. +# Override if Ollama listens on a non-default port, runs on another machine, +# or you're using a WSL distro without localhost mirroring (use the WSL2 IP +# from `wsl hostname -I` in that case). +# OLLAMA_HOST=http://localhost:11434 + +# Optional: default model when --provider ollama is selected. Recommended: +# `qwen3-coder:30b` (30B MoE coder, ~3.3B active params -- the quality/speed +# sweet spot on CPU since active params drive inference speed, not total). +# Higher quality: `qwen3-coder-next` (80B/3B active MoE, ~40 GB download). +# Use named aliases via `--model`: `local` (qwen3-coder:30b), +# `local-pro` (qwen3-coder-next). For very weak hardware that can't load +# 30B, pass an explicit small model slug like `--model qwen2.5-coder:7b` +# rather than expecting an alias -- the qwen2.5 family is a generation +# behind on code review quality, so we don't expose it as a default tier. +# OLLAMA_MODEL=qwen3-coder:30b + +# Optional: HTTP request timeout in seconds. Default 1800 (30 minutes) -- +# significantly larger than the cloud-provider default because local CPU +# inference can be slow on first call (model load adds 10-60s) and on +# thorough reviews of large diffs. Set lower if you want the runner to +# give up faster on a hung model; raise if you're on slower hardware or +# running larger models. +# OLLAMA_TIMEOUT=1800 + # --- Sampling tuning --------------------------------------------------------- -# Both apply to OpenRouter and Gemini-direct paths and can be overridden per -# call via `--temperature` / `--max-tokens`. Defaults are 0.5 and 16000 -# respectively -- raised from the previous 0.2 / ~8K defaults to surface more -# findings per round at the cost of a moderately higher hallucination rate. -# Set lower (e.g. 0.2) if you want tighter, more conservative output; set -# higher if you want broader exploration. ``max_tokens`` is a ceiling, not a -# target -- you pay only for tokens actually emitted, not for unused headroom. -# CODE_REVIEW_TEMPERATURE=0.5 +# Both apply to all providers (openrouter, gemini-direct, ollama) and can be +# overridden per call via `--temperature` / `--max-tokens`. Defaults are 0.3 +# and 16000 respectively. Temperature history: 0.2 (original) was too +# conservative (1-2 findings per round on diffs that plausibly contained +# more); a brief 0.5 default produced a hallucinated finding in cross-model +# review (Gemini referenced a CLI flag that didn't exist). 0.3 splits the +# difference. Set lower if you want tighter / fewer findings; set higher if +# you want broader exploration and accept more false positives. ``max_tokens`` +# is a ceiling, not a target -- you pay only for tokens actually emitted. +# CODE_REVIEW_TEMPERATURE=0.3 # CODE_REVIEW_MAX_TOKENS=16000 # --- Safety context ---------------------------------------------------------- diff --git a/README.md b/README.md index 9a64417..fd3f3f2 100644 --- a/README.md +++ b/README.md @@ -60,11 +60,11 @@ The rest of this README is the general-audience documentation (humans, contribut | File | New / modified | Purpose | |---|---|---| -| `review.py` | **new** | Standalone runner. Loads upstream skill + command prompts for diff review, adds fork-specific skill + command for whole-codebase review, POSTs to OpenRouter or the Gemini API. Includes a curated alias table so `--model claude` expands to the full OpenRouter slug. | +| `review.py` | **new** | Standalone runner. Loads upstream skill + command prompts for diff review, adds fork-specific skill + command for whole-codebase review, POSTs to OpenRouter, the Gemini API, or a local Ollama server. Includes per-provider alias tables so `--model claude` expands to the full OpenRouter slug and `--model local` resolves to a recommended Ollama model. | | `skills/code-review-codebase/SKILL.md` | **new** | Fork-specific whole-codebase review skill. Same persona / severity rubric as the upstream `code-review-commons` skill, but Critical Constraints adapted to permit comments on any line of any file in the bundle (the upstream "comment only on `+`/`-` lines" rule forbids commenting on whole-file content). | | `commands/codebase-review.toml` | **new** | Fork-specific command for `--codebase` mode. Defines the bundle delimiter and per-file-findings output shape. | | `pyproject.toml` | **new** | `uv`-managed deps (`httpx`, `python-dotenv`). | -| `.env.example` | **new** | Documents `OPENROUTER_API_KEY`, `GEMINI_API_KEY`, and optional model / provider overrides. | +| `.env.example` | **new** | Documents `OPENROUTER_API_KEY`, `GEMINI_API_KEY`, optional model / provider overrides, and the Ollama-local config (`OLLAMA_HOST`, `OLLAMA_MODEL`, `OLLAMA_TIMEOUT`). | | `.gitignore` | **new** | Protects `.env` and the `uv` virtualenv from leaking. | | `docs/llm-code-review-runbook.md` | **new** | Operational runbook for using the tool as an LLM iteration partner. | | `README.md` | **modified** | This file — documents the fork's runner alongside the upstream CLI mode. | @@ -87,7 +87,8 @@ git checkout main && git merge upstream/main # picks up upstream prompt change git clone https://github.com/Airwhale/local-gemini-code-review cd local-gemini-code-review cp .env.example .env -# edit .env: set OPENROUTER_API_KEY=... or GEMINI_API_KEY=... (or both) +# edit .env: set OPENROUTER_API_KEY=... or GEMINI_API_KEY=... (or both), +# or skip both keys entirely if you only want the local Ollama path. # From the runner directory, against the CWD: cd /path/to/local-gemini-code-review @@ -95,6 +96,7 @@ uv run review.py --base origin/main # iterative review of current branch uv run review.py --pr 6 # review a specific PR uv run review.py --codebase # whole tracked codebase (filtered) uv run review.py --base origin/main --model claude # use Claude instead of Gemini +uv run review.py --base origin/main --provider ollama # local, no API key # Or invoke from any project directory by pointing at the runner: cd /path/to/my-project @@ -105,18 +107,20 @@ uv run --project /path/to/local-gemini-code-review /path/to/local-gemini-code-re ## Provider selection -The runner supports two transport paths to the same `gemini-2.5-pro` model: +The runner supports three transport paths — two cloud, one local: ```bash uv run review.py # default: openrouter uv run review.py --provider openrouter # explicit uv run review.py --provider gemini # direct Gemini API +uv run review.py --provider ollama # local Ollama server (no API key) ``` | Provider | Endpoint | Required env var | Default model | Notes | |---|---|---|---|---| | `openrouter` (default) | `openrouter.ai/api/v1/chat/completions` | `OPENROUTER_API_KEY` | `google/gemini-2.5-pro` | OpenAI-compatible chat-completions wire format. One bill for many providers. | | `gemini` | `generativelanguage.googleapis.com/v1beta/models/...` | `GEMINI_API_KEY` | `gemini-2.5-pro` | Google AI Studio's `generateContent` endpoint. Slightly lower latency (one less hop). | +| `ollama` | `{OLLAMA_HOST}/v1/chat/completions` (default `http://localhost:11434`) | none — local server | `qwen3-coder:30b` | Local LLM via [Ollama](https://ollama.com). OpenAI-compatible endpoint. No API key, no token costs, code never leaves the machine. CPU inference is slower than cloud (1–5 min/review typical). | **Known gotcha for the Gemini API path:** the free tier has zero per-day quota for `gemini-2.5-pro` as of the time of writing. You'll see HTTP 429 immediately. Workarounds: @@ -126,9 +130,43 @@ uv run review.py --provider gemini # direct Gemini API Set a default per-environment via `$CODE_REVIEW_PROVIDER=gemini` in your `.env` so you don't have to pass `--provider` every invocation. +### When to use the Ollama (local) provider + +Empirically, local and cloud have **different failure modes**, not strictly better/worse: + +- **Cloud** (`openrouter`, `gemini`): faster, more structured output, but hallucinations can slip past at the default temperature. Observed during integration testing: `google/gemini-2.5-pro` produced a confidently-worded HIGH-severity finding that referenced a CLI flag and "help text" that did not exist in the codebase. The suggested fix would have crashed the runner. Verify each finding against actual code before accepting. +- **Local** (`ollama`): slower (CPU-bound on consumer hardware), sparser output, but won't typically invent findings that contradict the diff. On the same diff that produced the cloud hallucination above, the local model returned a clean "no issues" — possibly missing real nits, but not making up new ones. + +Practical workflow: cloud first for the structured triage pass; local as a sanity check or for offline / sensitive / cost-free work. The integration testing run that prompted this section is documented in the runbook. + +### Setting up the Ollama provider + +1. Install [Ollama](https://ollama.com/download). Runs as a service on `http://localhost:11434`. On Windows, if Smart App Control / Application Control blocks the native installer, install in WSL2 instead — the runner reaches the WSL server via localhost mirroring without any extra config. +2. Pull at least one model. The default expected by the runner is **`qwen3-coder:30b`** (30B Mixture-of-Experts coder with ~3.3B active parameters — the quality/speed sweet spot on CPU because active-params drive inference speed, not total-params): + + ```bash + ollama pull qwen3-coder:30b + ``` + + Alternative: `qwen3-coder-next` (80B/3B MoE, higher quality, ~40 GB download). + +3. (Optional) Override defaults via `.env`: + - `OLLAMA_HOST=http://localhost:11434` — server URL. Override if Ollama is on a non-default port, another machine, or a WSL distro without localhost mirroring. + - `OLLAMA_MODEL=qwen3-coder:30b` — default model when `--provider ollama` is selected. + - `OLLAMA_TIMEOUT=1800` — HTTP timeout in seconds. Default 30 minutes accommodates CPU cold-starts (10–60 s model load) plus thorough reviews; lower it if you'd rather fail fast. +4. Run: + + ```bash + uv run review.py --provider ollama --base origin/main + ``` + +The runner's error messages are tailored for Ollama-specific failure modes — "server unreachable" suggests `ollama serve` and `--ollama-host`; "model not pulled" gives you the exact `ollama pull ` command to run. + ### Model aliases -The `--model` flag accepts any OpenRouter slug, but a small curated alias table collapses the most common reviewers to a short name. Aliases work **only** under `--provider openrouter`; the Gemini API direct path takes bare Gemini model names. Passing an alias with `--provider gemini` errors out with a clear message. +The `--model` flag accepts any provider-native slug, plus a curated set of short aliases scoped per provider. An alias is only valid for its declared provider; using one with the wrong `--provider` raises a typed `CONFIG` error pointing at the correct one rather than silently sending an invalid model name upstream. + +**OpenRouter aliases** (use with `--provider openrouter`, the default): | Alias | Resolves to | Notes | |---|---|---| @@ -140,7 +178,16 @@ The `--model` flag accepts any OpenRouter slug, but a small curated alias table | `gpt-mini` | `openai/gpt-5-mini` | Cheaper / faster GPT. | | `deepseek` | `deepseek/deepseek-chat-v3.1` | Cheap, surprisingly strong on code review. | -Raw slugs still pass through unchanged, so anything OpenRouter serves — including newer models that haven't earned an alias yet — works via `--model /`. +**Ollama aliases** (use with `--provider ollama`): + +| Alias | Resolves to | Notes | +|---|---|---| +| `local` | `qwen3-coder:30b` | Current Ollama default. 30B MoE with ~3.3B active params — the recommended quality/speed balance on CPU. | +| `local-pro` | `qwen3-coder-next` | 80B/3B MoE. Higher quality at the cost of ~40 GB download + slightly slower active path. | + +**The `gemini` (direct-API) provider has no aliases** — it takes bare Gemini model names only (e.g. `gemini-2.5-pro`, `gemini-2.5-flash`). Passing an OpenRouter alias like `claude` with `--provider gemini` errors out clearly. + +Raw provider-native slugs still pass through unchanged, so anything OpenRouter serves or anything you have pulled into Ollama — including newer models that haven't earned an alias yet — works via `--model `. ## Modes @@ -156,10 +203,10 @@ Raw slugs still pass through unchanged, so anything OpenRouter serves — includ Two more runtime knobs: -- `--temperature ` (default `0.5`, env `CODE_REVIEW_TEMPERATURE`): sampling randomness. Higher = more findings per call, more hallucinations. Lower = tighter, fewer findings. +- `--temperature ` (default `0.3`, env `CODE_REVIEW_TEMPERATURE`): sampling randomness. Higher = more findings per call, more hallucinations. Lower = tighter, fewer findings. - `--max-tokens ` (default `16000`, env `CODE_REVIEW_MAX_TOKENS`): ceiling on output. Not a target — you pay only for what's emitted. Default avoids mid-finding truncation on thorough reviews. -The defaults shifted from `0.2` / `~8K` after empirical iteration: `0.2` produced 1–2 findings per round on diffs that plausibly contained more, requiring 5–7 rounds to converge. `0.5` typically produces 3–5 findings per round and converges in 3–5 rounds. +The temperature default has been retuned twice. **0.2** (original) was too conservative: 1–2 findings per round on diffs that plausibly contained more, 5–7 rounds to converge. **0.5** surfaced more findings per round (3–5 typical) but produced a clear hallucination during cross-model integration testing — `google/gemini-2.5-pro` returned a confidently-worded HIGH-severity finding that referenced a CLI flag and "help text" that did not exist in the code; the suggested fix would have crashed the runner. **0.3** (current) is the compromise: tight enough to cut hallucination, loose enough to keep "more findings than 0.2." Override per call with `--temperature` if your project benefits from a different setting; empirical re-tuning is encouraged. ### Whole-codebase mode (`--codebase`) diff --git a/docs/llm-code-review-runbook.md b/docs/llm-code-review-runbook.md index 8abc2a2..82d2cd9 100644 --- a/docs/llm-code-review-runbook.md +++ b/docs/llm-code-review-runbook.md @@ -2,7 +2,7 @@ Operational guide for using `review.py` as an iteration partner during code work. Same workflow whether you're a human developer or a coding agent (Claude, Codex, etc.). -The runner is a thin Python wrapper around the upstream `gemini-cli-extensions/code-review` skill + command prompts. It POSTs them to either OpenRouter or the Gemini API and prints structured-markdown findings — same model, same prompts, same output shape as the GitHub `/gemini review` bot, without the 5–15 min webhook → job-queue wait. +The runner is a thin Python wrapper around the upstream `gemini-cli-extensions/code-review` skill + command prompts. It POSTs them to OpenRouter, the Gemini API, or a local Ollama server (offline / no API key / no token cost), and prints structured-markdown findings — same prompts, same output shape as the GitHub `/gemini review` bot, without the 5–15 min webhook → job-queue wait. --- @@ -15,12 +15,18 @@ Dependencies: uv-managed -- first run installs them Config: .env at the runner's repo root (NOT at the project being reviewed) ``` -Set the key for whichever provider you'll use; missing keys fail fast with a clear error: +Set the key for whichever cloud provider you'll use; missing keys fail fast with a clear error. The local provider needs no key — just a running Ollama server. - `OPENROUTER_API_KEY` — default provider - `GEMINI_API_KEY` — direct Google AI Studio path +- *(none)* — local Ollama. Requires `ollama serve` running and at least one model pulled. -Optional: `CODE_REVIEW_PROVIDER`, `OPENROUTER_MODEL`, `GEMINI_MODEL` override the defaults. +Optional environment variables: + +- `CODE_REVIEW_PROVIDER` — set provider default (e.g. `ollama`) +- `OPENROUTER_MODEL` / `GEMINI_MODEL` / `OLLAMA_MODEL` — override the per-provider default model +- `OLLAMA_HOST` — Ollama server URL (default `http://localhost:11434`). Override for non-default ports, remote Ollama, or WSL distros without localhost mirroring. +- `OLLAMA_TIMEOUT` — HTTP timeout for Ollama calls in seconds (default `1800`, i.e. 30 minutes — accommodates CPU cold-starts and thorough reviews). --- @@ -58,12 +64,57 @@ The runner reads `.env` from its own directory — configure once, invoke from a |-----------------|-------------------------|--------------------------|-----------------------------------------------------------------------------------------| | `openrouter` * | `OPENROUTER_API_KEY` | `google/gemini-2.5-pro` | Default. Reliable quota; recommended for iterative work. | | `gemini` | `GEMINI_API_KEY` | `gemini-2.5-pro` | Direct to Google AI Studio. **Free tier has zero quota for pro** — use flash if free. | +| `ollama` | *(none — local)* | `qwen3-coder:30b` | Offline / no API key / no token cost. CPU inference is slower (1–5 min per review typical). Different failure mode than cloud — see "Local vs cloud" below. | \* default +### Local vs cloud — pick deliberately + +Empirically, the two paths fail in **opposite directions**. Cloud models hallucinate at higher temperatures; local models under-report. Concrete evidence from integration testing on a 31 K-char diff: + +- **`google/gemini-2.5-pro` via OpenRouter at `temperature=0.5`** returned a HIGH-severity finding that referenced a CLI flag (`--timeout`) and "help text" that did **not** exist in the codebase. The suggested fix would have crashed the runner with `AttributeError`. Confident, structured, plausible — and entirely fabricated. +- **`qwen3-coder:30b` via local Ollama on the same diff** returned a clean "no issues found." Likely missed legitimate nits (type narrowing, dead code, etc.) but did not invent any. + +The temperature default was lowered from `0.5` to `0.3` (current) partly in response to that hallucination. Even at `0.3`, treat every finding as a hypothesis to verify, not an instruction. + +**Use cloud when:** you want fast, structured triage; iterating against a small diff; converging in fewer rounds matters more than zero false positives. + +**Use Ollama (local) when:** you're offline; the code is sensitive enough you don't want it leaving the machine; you want a free sanity check; the cloud providers are rate-limited / down; you want a second-opinion pass after a cloud review (different blind spots catch different things). + +**For high-stakes PRs**, run *both* and reconcile. + +### Setting up Ollama (when `--provider ollama` is right) + +1. Install [Ollama](https://ollama.com/download). If Smart App Control / Application Control blocks the installer on Windows, install in WSL2 — the runner reaches the WSL server via localhost mirroring without extra config. +2. Pull a model. Default expected by the runner: + + ```bash + ollama pull qwen3-coder:30b + ``` + + `qwen3-coder:30b` is a 30B MoE with ~3.3B active parameters — the quality/speed sweet spot on CPU because active-param count drives inference speed, not total. Use the `local-pro` alias (`qwen3-coder-next`) for a larger MoE if disk + quality budget allows. + +3. Verify the server is reachable from the runner's host: + + ```bash + curl http://localhost:11434/api/tags + ``` + + Should return a JSON list including the model you pulled. + +4. Run the review: + + ```bash + uv run review.py --provider ollama --base origin/main + ``` + +The runner's Ollama-specific errors are surgical: a connection refusal raises `ConfigError` (exit 2) suggesting `ollama serve`; a 404 on the model raises `ConfigError` (exit 2) with the exact `ollama pull ` command to run. No retries on these — they're configuration problems the caller has to fix. + ### Model selection -`--model ` overrides the default. The runner has a curated alias table for OpenRouter so common reviewers don't require typing the full vendor-prefixed slug: +`--model ` overrides the default. Aliases are **scoped per provider** — each one only resolves under its declared `--provider`. Passing an alias to the wrong provider raises a typed `CONFIG` error naming the right one rather than sending an invalid model name to the upstream API. + +**OpenRouter aliases** (use with `--provider openrouter`, the default): | Alias | Resolves to | Notes | |---|---|---| @@ -75,7 +126,14 @@ The runner reads `.env` from its own directory — configure once, invoke from a | `gpt-mini` | `openai/gpt-5-mini` | Cheaper / faster GPT. | | `deepseek` | `deepseek/deepseek-chat-v3.1` | Cheap, surprisingly strong on code review. | -Aliases work only under `--provider openrouter`. Passing an alias with `--provider gemini` is a category error (the Gemini API direct path takes bare Gemini model names only) and the runner exits with a clear message. Raw slugs always pass through unchanged, so newer models that haven't earned an alias yet still work via `--model /`. +**Ollama aliases** (use with `--provider ollama`): + +| Alias | Resolves to | Notes | +|---|---|---| +| `local` | `qwen3-coder:30b` | Current Ollama default. 30B MoE with ~3.3B active params — the recommended quality/speed balance on CPU. | +| `local-pro` | `qwen3-coder-next` | 80B/3B MoE. Higher quality at the cost of ~40 GB download and slightly slower active path. | + +**The `gemini` (direct-API) provider has no aliases** — it takes bare Gemini model names only (e.g. `gemini-2.5-pro`, `gemini-2.5-flash`). Raw provider-native slugs always pass through unchanged, so anything OpenRouter serves or anything pulled into Ollama — including newer models without aliases yet — works via `--model `. ### Tuning sampling: `--temperature` and `--max-tokens` @@ -83,10 +141,14 @@ Two runtime knobs control how much the model says and how exploratory it is: | Flag | Default | What it controls | When to change | |---|---|---|---| -| `--temperature ` | `0.5` (env: `CODE_REVIEW_TEMPERATURE`) | Sampling randomness. Higher = more exploration, more findings per call, more hallucinations. Lower = tighter, more conservative, fewer findings. | Drop to `0.2` for security-critical PRs where decline-comment overhead is expensive. Raise to `0.6–0.7` for first-pass audits where you want maximum coverage and can afford to filter noise. | +| `--temperature ` | `0.3` (env: `CODE_REVIEW_TEMPERATURE`) | Sampling randomness. Higher = more exploration, more findings per call, more hallucinations. Lower = tighter, more conservative, fewer findings. | Drop to `0.2` for security-critical PRs where decline-comment overhead is expensive. Raise to `0.5–0.7` for first-pass audits where you want maximum coverage and can afford the false-positive rate. | | `--max-tokens ` | `16000` (env: `CODE_REVIEW_MAX_TOKENS`) | Ceiling on output token count. Not a target — you pay only for what the model actually emits. Default ensures a thorough review isn't truncated mid-finding. | Rarely needs changing. Drop to `4000` if you genuinely want short, focused output (e.g. CI-step where only critical findings matter). Raise if you see truncated `Suggested change:` blocks in very large reviews. | -The defaults were chosen after iterating on real PRs: `temperature=0.2` produced 1–2 findings per round on diffs that plausibly contained more, requiring 5–7 rounds to converge. `temperature=0.5` typically produces 3–5 findings per round and converges in 3–5 rounds, at the cost of one or two additional hallucinations per cycle (declines handle them). +The temperature default has been retuned twice based on empirical observation: + +- **`0.2`** (original): too conservative — 1–2 findings per round on diffs that plausibly contained more, requiring 5–7 rounds to converge. +- **`0.5`** (raised in response to the above): more findings per round (3–5 typical), but during cross-model integration testing `google/gemini-2.5-pro` produced a HIGH-severity finding that referenced a CLI flag (`--timeout`) and quoted "help text" that did not exist in the codebase. The proposed fix would have crashed the runner with `AttributeError: 'Namespace' object has no attribute 'timeout'`. Confident, well-formatted, and a hallucination. +- **`0.3`** (current): tight enough to cut the hallucination rate, loose enough to keep "more findings than 0.2." If your project shows different behavior, retune; the constant in `review.py` documents the history so the next maintainer can see the evidence. ### Whole-codebase mode (`--codebase`) @@ -206,6 +268,12 @@ See the README's "Safety context" section for the default phrasing. 6. **Codebase-mode bundle cap.** `--codebase` enforces a 700 K-char (~175 K-token) pre-flight cap on the concatenated bundle. If you hit it, the runner exits with `CONTEXT_OVERFLOW` (exit 12) and lists the 10 largest files in the current selection — use those to target `--exclude` flags. Common offenders: vendored fixture JSON, committed schema dumps, test data files. +7. **Ollama cold-start latency.** The first request after starting `ollama serve` (or after a model has been idle for a few minutes) takes 10–60 s extra while the model loads into RAM. Subsequent calls within Ollama's keep-alive window are fast. If you see no output for ~30 s on the first call, that's normal — don't assume the runner hung. `OLLAMA_TIMEOUT` (default 1800 s) covers worst-case CPU cold-start plus a thorough review; lower it if you want faster failure. + +8. **Ollama "model not pulled" returns a `CONFIG` error (exit 2), not a 404.** The runner intercepts the 404 from the local server and surfaces it as a typed `CONFIG` error with the exact `ollama pull ` command to run. Don't retry without pulling first — retry without changes hits the same error. + +9. **Ollama review depth is lower than cloud.** Local models, especially on CPU, tend to under-report findings versus a cloud reviewer on the same diff. This is the inverse of the cloud-hallucinates problem documented under "Local vs cloud." A clean "no issues" from Ollama is **not** equivalent in confidence to a clean review from `claude` or `pro` — treat it as a sanity check, not a final verdict, when stakes are high. + --- ## Future modes (TODO) @@ -230,16 +298,21 @@ If a codebase legitimately exceeds the bundle cap and `--include` filtering woul --- -## When to also call `/gemini review` on GitHub +## When to also call `/gemini review` on GitHub (or run a second provider) + +Treat the runner as the **iteration partner** and a second reviewer as the **final-mile verifier**. Options for the verifier: -Treat the local tool as the **iteration partner** and the GitHub `/gemini review` bot as the **final-mile verifier**. They use the same model and similar prompts; the GitHub bot's only advantage is independence ("a third party reviewed this, not my own prompt-following loop"). +- **GitHub `/gemini review` bot** — same model family as the default, similar prompts; only advantage is independence ("a third party reviewed this, not my own prompt-following loop"). +- **A different runner provider on the same diff** — cheap and immediate. Cloud and local have different blind spots; running both is the closest thing to a structured "second opinion" you can get without paying for it. -Bring in the GitHub bot when: +Bring in a verifier when: - The diff touches concurrency, locks, signing/replay, differential privacy ledgers, policy boundaries, or auth surfaces — anywhere a missed bug has outsized blast radius. -- The PR is large enough that you want a credibility signal beyond "I ran the same model locally." +- The PR is large enough that you want a credibility signal beyond "I ran one model locally." - You're about to merge to a protected branch and want one independent confirmation. +**Concrete pattern:** when the cloud reviewer says "no issues," re-run with `--provider ollama` (or vice versa). When they disagree, the disagreement itself is signal — verify the specific finding against the actual code. When they agree on "clean," that's a stronger green light than either alone. + For most PRs, three to five clean local rounds is sufficient and saves 30–45 minutes per PR vs the webhook round-trip. --- @@ -281,4 +354,4 @@ Tail the file in another shell, or pipe to `head -80` if you only want the top f ## Provenance -This fork keeps the upstream `gemini-cli-extensions/code-review` skill and command prompts byte-identical so upstream improvements rebase cleanly. Fork additions: `review.py`, `pyproject.toml`, `.env.example`, `.gitignore`, this runbook, and a rewritten root `README.md`. See the root README for the full list of fork modifications and how to sync against upstream. +This fork keeps the upstream `gemini-cli-extensions/code-review` skill and command prompts byte-identical so upstream improvements rebase cleanly. Fork additions: `review.py` (three-provider runner: OpenRouter / Gemini API / local Ollama), `pyproject.toml`, `.env.example`, `.gitignore`, this runbook, and a rewritten root `README.md`. See the root README for the full list of fork modifications and how to sync against upstream. diff --git a/review.py b/review.py index 9a38e77..38e116e 100644 --- a/review.py +++ b/review.py @@ -3,7 +3,7 @@ This fork keeps the upstream `skills/code-review-commons/SKILL.md` and `commands/code-review.toml` prompts intact (Apache-2.0, unmodified) and adds a -thin Python runner that sends them to a Gemini-or-other-model via one of two +thin Python runner that sends them to a Gemini-or-other-model via one of three providers selectable at the command line: --provider openrouter (default) @@ -18,10 +18,22 @@ `GEMINI_API_KEY`. Slightly lower latency (one less hop) and uses the same key the GitHub bot uses on the backend. -Both paths default to ``gemini-2.5-pro``. `--model ` overrides; the -``--provider openrouter`` path also accepts named aliases (see -``MODEL_ALIASES`` below) so you can write ``--model claude`` instead of -``--model anthropic/claude-sonnet-4.5``. + --provider ollama + POSTs to a local Ollama server's OpenAI-compatible endpoint + (http://localhost:11434/v1/chat/completions by default). No API key + required -- the server runs on your machine (or in WSL). Override the + URL with `--ollama-host` or `$OLLAMA_HOST` if Ollama listens elsewhere + (different port, different machine, WSL with non-default networking). + Best for offline / private / cost-free review; trade-off is quality + and speed depending on local model size and CPU/GPU. + +Provider defaults: openrouter -> ``google/gemini-2.5-pro``, gemini -> +``gemini-2.5-pro``, ollama -> ``qwen3-coder:30b`` (the MoE coder model +with ~3.3B active params, the quality/speed sweet spot on CPU). The +``--model `` flag overrides per call; ``--provider openrouter`` +and ``--provider ollama`` also accept named aliases (see +``MODEL_ALIASES_BY_PROVIDER`` below) so you can write ``--model claude`` +or ``--model local`` instead of the full slug. Diff modes (default) review a git diff: @@ -39,7 +51,8 @@ The .env loaded from this script's directory (not CWD) -- copy `.env.example` to `.env` once at the runner location and invoke from any project folder. Set whichever of `OPENROUTER_API_KEY` / `GEMINI_API_KEY` your chosen provider -needs. +needs (Ollama doesn't need an API key -- just set `OLLAMA_HOST` if your +server isn't at the default `http://localhost:11434`). """ from __future__ import annotations @@ -216,11 +229,19 @@ class TransportError(ReviewError): # Provider configuration. The default model slug differs by provider because # OpenRouter prefixes vendor names (``google/...``) while the Gemini API -# accepts the bare model name. Override per-call with ``--model``. -PROVIDERS = ("openrouter", "gemini") +# accepts the bare model name. Ollama uses its own tag format +# (``qwen3-coder:30b``) and runs against a local server (no vendor prefix, +# no API key). Override per-call with ``--model``. +PROVIDERS = ("openrouter", "gemini", "ollama") DEFAULT_MODEL_BY_PROVIDER: dict[str, str] = { "openrouter": "google/gemini-2.5-pro", "gemini": "gemini-2.5-pro", + # Ollama default. ``qwen3-coder:30b`` is the MoE coder model with + # ~3.3B active params -- best quality/speed balance on CPU. If the + # user hasn't pulled it, ``call_ollama`` raises a typed ConfigError + # pointing them to ``ollama pull qwen3-coder:30b``. Override per env + # with $OLLAMA_MODEL or per call with --model. + "ollama": "qwen3-coder:30b", } DEFAULT_PROVIDER = "openrouter" @@ -228,18 +249,41 @@ class TransportError(ReviewError): GEMINI_URL_TEMPLATE = ( "https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent" ) +# Ollama exposes both its native API (``/api/chat``) and an OpenAI-compatible +# endpoint (``/v1/chat/completions``). We use the latter because the request/ +# response shape mirrors OpenRouter, which lets us reuse the same +# finish-reason classification and error-handling patterns. +DEFAULT_OLLAMA_HOST = "http://localhost:11434" +OLLAMA_CHAT_PATH = "/v1/chat/completions" HTTP_TIMEOUT = 300.0 # Gemini 2.5 Pro on a ~5K-line diff lands ~30-60s; pad # generously for very large diffs and whole-codebase # bundles. - -# Sampling temperature for the model. Raised from 0.2 to 0.5 after running -# several review cycles at 0.2 and observing 1-2 findings per round on -# diffs that plausibly contained more. Higher temperature broadens the -# model's exploration so more findings surface per call, at the cost of -# a moderately higher hallucination rate -- the decline-comment contract -# in the runbook handles those cleanly. Override per call with -# ``--temperature`` or per environment with ``$CODE_REVIEW_TEMPERATURE``. -DEFAULT_TEMPERATURE = 0.5 +# Local CPU inference on a 30B MoE coder model takes ~10-25 tok/sec on +# modern hardware, so a thorough review (1500-3000 output tokens) can run +# 1-5 minutes; cold-start model load adds another 10-60s on the first +# call after server start. ``HTTP_TIMEOUT`` (300s = 5 min) is too tight +# for that worst case, so Ollama gets its own ceiling. Override with +# $OLLAMA_TIMEOUT if you're on slower hardware or running larger models. +DEFAULT_OLLAMA_TIMEOUT = 1800.0 # 30 minutes + +# Sampling temperature for the model. History of this constant: +# +# 0.2 (original): too conservative -- 1-2 findings per round on diffs +# that plausibly contained more; 5-7 rounds to converge. +# 0.5 (raised after observing the above): more findings per round +# (3-5 typical), but on a later cross-model comparison +# ``google/gemini-2.5-pro`` produced a HIGH-severity finding +# that referenced a CLI flag (``--timeout``) and quoted "help +# text" that don't exist in the codebase -- a clean +# hallucination that would have crashed the runner if its +# suggested fix had been applied verbatim. +# 0.3 (current): split the difference. Tighter than 0.5 to cut the +# hallucination rate; looser than 0.2 to keep the "surface more +# findings" benefit. Empirical re-tuning is encouraged if you +# observe drift either way; override per call with +# ``--temperature`` or per environment with +# ``$CODE_REVIEW_TEMPERATURE``. +DEFAULT_TEMPERATURE = 0.3 # Maximum output tokens the model may emit. Raised from the implicit # provider default (~8K for Gemini 2.5 Pro) to 16K so a thorough review @@ -248,45 +292,76 @@ class TransportError(ReviewError): # Override with ``--max-tokens`` or ``$CODE_REVIEW_MAX_TOKENS``. DEFAULT_MAX_TOKENS = 16000 -# Named aliases for OpenRouter model slugs. The OpenRouter URL form -# ``vendor/model`` is awkward to type; an alias collapses it to a short -# name (``claude``, ``gpt``, ``deepseek``...) for ergonomics. Aliases are -# resolved before the call is made; the resolved slug is what shows up -# in stderr "Reviewing ... with ..." and what OpenRouter actually -# dispatches to. +# Named aliases for model slugs, scoped per provider. Each provider has +# its own slug format (OpenRouter: ``vendor/model``, Gemini API: bare +# ``gemini-...`` names, Ollama: ``family:tag``), and an alias is only +# valid for its declared provider. Aliases are resolved before the call +# is made; the resolved slug is what shows up in stderr "Reviewing ... +# with ..." and what the provider actually dispatches to. # -# Aliases apply only to ``--provider openrouter``. The Gemini API direct -# path takes bare Gemini model names (no vendor prefix) so a slug like -# ``anthropic/claude-sonnet-4.5`` is a category error for that provider; -# we error out with a clear message instead of silently sending an -# invalid model name to Google's API. +# When a user passes ``--model `` with the wrong provider, the +# runner raises a typed ConfigError pointing them at the correct +# ``--provider`` instead of silently sending an invalid model name to +# the upstream API. # -# Keep this table small and curated. Adding every model on OpenRouter is -# not the goal -- users who want exotic models can pass the raw slug via -# ``--model``. The aliases here are the models that earned their place -# as a "second-opinion reviewer" in practice. -MODEL_ALIASES: dict[str, str] = { - # Gemini family (OpenRouter route to the same models the - # ``--provider gemini`` direct path serves). - "pro": "google/gemini-2.5-pro", - "gemini-pro": "google/gemini-2.5-pro", - "flash": "google/gemini-2.5-flash", - "gemini-flash": "google/gemini-2.5-flash", - # Anthropic / Claude family. - "claude": "anthropic/claude-sonnet-4.5", - "claude-sonnet": "anthropic/claude-sonnet-4.5", - "claude-opus": "anthropic/claude-opus-4.5", - # OpenAI / GPT family. These slugs are current OpenRouter catalog - # entries; an older reviewer with a pre-2025 training cutoff may - # flag them as nonexistent because GPT-5 / GPT-5-mini postdate that - # cutoff. Verify against the live catalog before "fixing" them back - # to gpt-4o. - "gpt": "openai/gpt-5", - "gpt-mini": "openai/gpt-5-mini", - # DeepSeek -- cheap, surprisingly strong at code review. - "deepseek": "deepseek/deepseek-chat-v3.1", +# Keep these tables small and curated. The aliases here are the models +# that earned their place as a "second-opinion reviewer" in practice; +# users who want exotic models can pass the raw slug via ``--model``. +MODEL_ALIASES_BY_PROVIDER: dict[str, dict[str, str]] = { + "openrouter": { + # Gemini family (OpenRouter route to the same models the + # ``--provider gemini`` direct path serves). + "pro": "google/gemini-2.5-pro", + "gemini-pro": "google/gemini-2.5-pro", + "flash": "google/gemini-2.5-flash", + "gemini-flash": "google/gemini-2.5-flash", + # Anthropic / Claude family. + "claude": "anthropic/claude-sonnet-4.5", + "claude-sonnet": "anthropic/claude-sonnet-4.5", + "claude-opus": "anthropic/claude-opus-4.5", + # OpenAI / GPT family. These slugs are current OpenRouter catalog + # entries; an older reviewer with a pre-2025 training cutoff may + # flag them as nonexistent because GPT-5 / GPT-5-mini postdate that + # cutoff. Verify against the live catalog before "fixing" them back + # to gpt-4o. + "gpt": "openai/gpt-5", + "gpt-mini": "openai/gpt-5-mini", + # DeepSeek -- cheap, surprisingly strong at code review. + "deepseek": "deepseek/deepseek-chat-v3.1", + }, + "ollama": { + # Local model tiers, both qwen3-coder. ``local`` is the + # recommended default (30B MoE with ~3.3B active params, the + # quality/speed sweet spot on CPU because active param count + # drives inference speed, not total params). ``local-pro`` is + # the larger MoE (80B/3B active) for users who want higher + # quality and can spare the disk (~40 GB) for marginal speed + # cost. Users who haven't pulled a given tag get a typed + # ConfigError from ``call_ollama`` pointing them at the right + # ``ollama pull`` command. + # + # No ``local-fast`` alias: qwen3-coder doesn't ship a small + # dense variant on Ollama, and the qwen2.5-coder family is a + # generation behind on code review quality. Users who need a + # smaller model should pass the explicit ``--model`` slug + # (e.g. ``--model qwen2.5-coder:7b``) rather than rely on a + # "fast" alias that papers over the generation gap. + "local": "qwen3-coder:30b", + "local-pro": "qwen3-coder-next", + }, + # ``gemini`` (direct-API) has no aliases -- it takes bare Gemini + # model names only. Passing an alias with --provider gemini raises + # a ConfigError so the user gets a clear message rather than a + # cryptic 404 from Google's API. } +# Backwards-compatible flat alias map. Some external tooling or tests +# may have imported the old top-level ``MODEL_ALIASES`` dict that +# contained only the OpenRouter aliases. The new authoritative table +# is ``MODEL_ALIASES_BY_PROVIDER``; this name is preserved as a +# read-only view over the OpenRouter slice for compatibility. +MODEL_ALIASES: dict[str, str] = MODEL_ALIASES_BY_PROVIDER["openrouter"] + # Upstream `code-review.toml` instructs the model to *call* git itself via a # tool. We have no tool layer; instead we extract the diff up front and # substitute it into the prompt. This is the literal sentence from @@ -992,6 +1067,152 @@ def call_gemini( ) +def call_ollama( + *, + system_prompt: str, + user_prompt: str, + model: str, + host: str, + temperature: float, + max_tokens: int, + timeout: float, +) -> str: + """POST to a local Ollama server via its OpenAI-compatible chat-completions + endpoint. No API key required (local). Caller builds the prompts (same as + ``call_openrouter`` and ``call_gemini``) so the wire path is mode-agnostic. + Raises typed ``ReviewError`` subclasses; see README "Error model". + + Differences from cloud providers: + + - **No auth header.** Local server, no token-bearer logic. + - **First request after server start is slow** (~10-60s) because Ollama + lazy-loads the model into RAM. Subsequent requests within the + keep-alive window are fast. ``timeout`` is generously larger than + ``HTTP_TIMEOUT`` for cloud providers to absorb this cold start. + - **Connection refused** is a distinct failure mode (server not + running) versus a 4xx/5xx (server up, problem with the request). + We surface it as a ``ConfigError`` so the user gets actionable + guidance instead of a generic transport error. + - **404 means the model isn't pulled**, not "endpoint not found." + The body usually contains the model name; we surface it as a + ConfigError pointing at the right ``ollama pull`` command. + - **No content filter / safety mode.** Ollama doesn't refuse output + on safety grounds, so the empty-content classifier checks only + length / max-tokens / generic hiccup -- no SafetyRefusal branch. + """ + payload = { + "model": model, + "messages": [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_prompt}, + ], + # Temperature and max_tokens use the same keys as OpenRouter + # (Ollama's OpenAI-compat endpoint mirrors that shape). + "temperature": temperature, + "max_tokens": max_tokens, + # Force non-streaming so we get the whole response in one JSON + # blob -- simpler to parse and matches how we handle the cloud + # providers. + "stream": False, + } + headers = { + "Content-Type": "application/json", + } + url = host.rstrip("/") + OLLAMA_CHAT_PATH + + try: + with httpx.Client(timeout=timeout) as client: + response = client.post(url, headers=headers, json=payload) + except httpx.ConnectError as exc: + # Server unreachable. Most likely Ollama isn't running, or + # OLLAMA_HOST points at the wrong place. ConfigError so the + # caller (human or LLM agent) doesn't retry pointlessly -- they + # need to fix config first. + raise ConfigError( + f"Cannot reach Ollama at {host}. Is the server running? " + f"Start it with `ollama serve` (or `wsl -d Ubuntu -- ollama serve` " + f"if Ollama lives in WSL). Override the URL with --ollama-host " + f"or $OLLAMA_HOST if it's on a non-default port/machine.", + detail=str(exc), + model=model, + provider="ollama", + ) from exc + except httpx.RequestError as exc: + # Other network-layer failure (timeout reading response, DNS for + # a non-localhost host, etc.). TransportError so the auto-retry + # in ``_retry_on_recoverable`` gives it one more try before + # raising. + raise TransportError( + f"Ollama request to {host} failed: {exc}", + model=model, + provider="ollama", + ) from exc + + # 404 from Ollama means the model isn't pulled. The response body + # typically includes the model name and a "try pulling first" + # message. Surface as a ConfigError with the exact pull command so + # the user can fix it in one step. + if response.status_code == 404: + raise ConfigError( + f"Model `{model}` not available on Ollama server at {host}. " + f"Run `ollama pull {model}` (or `wsl -d Ubuntu -- ollama pull " + f"{model}` if Ollama is in WSL), then retry.", + detail=response.text[:500], + model=model, + provider="ollama", + ) + + if response.status_code >= 400: + raise _classify_http_error( + response.status_code, response.text, model=model, provider="ollama" + ) + + try: + data = response.json() + except ValueError as exc: + raise ProviderHiccup( + f"Ollama returned non-JSON response: {exc}", + detail=response.text[:1000], + model=model, + provider="ollama", + ) from exc + + choices = data.get("choices") or [] + if not choices: + raise ProviderHiccup( + "Ollama response had no choices", + detail=str(data)[:1000], + model=model, + provider="ollama", + ) + choice = choices[0] + finish_reason = (choice.get("finish_reason") or "").lower() + message = choice.get("message") or {} + content = message.get("content") + + if content: + return content + + # Null / empty content. Ollama doesn't have content-filter / safety + # refusals, so the only diagnosable empty-content cause is hitting + # the max-token ceiling. Anything else falls through to a generic + # ProviderHiccup which the caller can retry once. + if finish_reason in {"length", "max_tokens"}: + raise ContextOverflow( + f"Hit max_tokens ({max_tokens}) before producing content " + f"(finish_reason={finish_reason!r})", + detail=str(data)[:1000], + model=model, + provider="ollama", + ) + raise ProviderHiccup( + f"Ollama returned empty content with finish_reason={finish_reason!r}", + detail=str(data)[:1000], + model=model, + provider="ollama", + ) + + def _retry_on_recoverable(call: Callable[[], T], *, label: str) -> T: """Run ``call``; on ``ProviderHiccup`` or ``TransportError`` retry once. @@ -1017,28 +1238,46 @@ def _retry_on_recoverable(call: Callable[[], T], *, label: str) -> T: def _resolve_model(args: argparse.Namespace) -> str: """Resolve the final model slug from CLI flag, env var, alias table, - or provider default. Raises ``ConfigError`` if an alias is used with the - wrong provider (the Gemini API direct path takes bare Gemini model names - only -- a non-Gemini alias like ``claude`` is a category error there). + or provider default. + + Aliases are scoped per provider (see ``MODEL_ALIASES_BY_PROVIDER``): + OpenRouter aliases like ``claude`` resolve only with --provider + openrouter; Ollama aliases like ``local`` resolve only with + --provider ollama. Using an alias from the wrong table raises a + typed ``ConfigError`` pointing the caller at the correct + ``--provider`` instead of silently sending an invalid slug to the + upstream API. """ if args.model is not None: model = args.model elif args.provider == "openrouter": model = os.getenv("OPENROUTER_MODEL", DEFAULT_MODEL_BY_PROVIDER["openrouter"]) - else: # gemini + elif args.provider == "gemini": model = os.getenv("GEMINI_MODEL", DEFAULT_MODEL_BY_PROVIDER["gemini"]) - - if model in MODEL_ALIASES: - if args.provider != "openrouter": + else: # ollama + model = os.getenv("OLLAMA_MODEL", DEFAULT_MODEL_BY_PROVIDER["ollama"]) + + # Resolve via this provider's alias table. + provider_aliases = MODEL_ALIASES_BY_PROVIDER.get(args.provider, {}) + if model in provider_aliases: + return provider_aliases[model] + + # If the model name matches an alias for a DIFFERENT provider, the + # user almost certainly meant to switch providers. Surface that with + # a typed ConfigError naming the right --provider, so an LLM caller + # parsing stderr can self-correct instead of hammering the wrong + # endpoint. + for other_provider, other_aliases in MODEL_ALIASES_BY_PROVIDER.items(): + if other_provider == args.provider: + continue + if model in other_aliases: raise ConfigError( - f"Model alias `{model}` is only valid with --provider openrouter. " - f"The Gemini API direct path takes bare Gemini model names only " - f"(e.g. gemini-2.5-pro, gemini-2.5-flash). Either pass " - f"--provider openrouter to use this alias, or pass " - f"--model gemini-2.5-pro / --model gemini-2.5-flash for the " - f"direct path." + f"Model alias `{model}` is only valid with " + f"--provider {other_provider} (currently --provider " + f"{args.provider}). Either switch with " + f"--provider {other_provider}, or pass an actual model " + f"name supported by --provider {args.provider}." ) - model = MODEL_ALIASES[model] return model @@ -1168,11 +1407,25 @@ def main() -> None: default=None, help=( "Model slug or alias. Defaults to the provider-appropriate " - "``gemini-2.5-pro`` variant. Override with $OPENROUTER_MODEL " - "or $GEMINI_MODEL respectively. Aliases (--provider " - "openrouter only): pro, flash, claude, claude-opus, gpt, " - "gpt-mini, deepseek. ``gemini-2.5-flash`` / ``flash`` is " - "~3x faster with some quality loss." + "value (``google/gemini-2.5-pro`` for openrouter, " + "``gemini-2.5-pro`` for gemini, ``qwen3-coder:30b`` for " + "ollama). Override with $OPENROUTER_MODEL / $GEMINI_MODEL / " + "$OLLAMA_MODEL respectively. Aliases: pro/flash/claude/" + "claude-opus/gpt/gpt-mini/deepseek (openrouter); " + "local/local-pro (ollama). ``gemini-2.5-flash`` / " + "``flash`` is ~3x faster with some quality loss." + ), + ) + parser.add_argument( + "--ollama-host", + default=None, + metavar="URL", + help=( + "Ollama server URL when --provider ollama. Defaults to " + f"{DEFAULT_OLLAMA_HOST} or $OLLAMA_HOST. Useful if Ollama " + "is on a non-default port, on another machine, or running " + "inside WSL with non-default networking. Ignored for other " + "providers." ), ) parser.add_argument( @@ -1182,10 +1435,12 @@ def main() -> None: metavar="FLOAT", help=( f"Sampling temperature. Default {DEFAULT_TEMPERATURE} -- " - "raised from the previous 0.2 default to surface more " - "findings per round at the cost of a higher hallucination " - "rate (the decline-comment contract handles those). Range " - "typically 0.0-1.0. Override with $CODE_REVIEW_TEMPERATURE." + "tuned between the original 0.2 (too conservative, " + "missed real findings) and a brief 0.5 default (caught " + "more but produced hallucinated findings on cross-model " + "review). Range typically 0.0-1.0; higher widens " + "exploration at higher hallucination risk. Override with " + "$CODE_REVIEW_TEMPERATURE." ), ) parser.add_argument( @@ -1297,24 +1552,59 @@ def main() -> None: else: context = os.getenv("CODE_REVIEW_CONTEXT") or DEFAULT_CONTEXT - # Resolve and validate the API key for the chosen provider before - # touching git / GitHub so the user fails fast on configuration errors. + # Resolve and validate provider-specific config before touching git / + # GitHub so the user fails fast on configuration errors. Cloud + # providers need an API key; Ollama is local so it needs a server + # URL and (optionally) a longer timeout instead. + api_key: str | None = None + ollama_host: str | None = None + ollama_timeout: float | None = None + if args.provider == "openrouter": api_key = os.getenv("OPENROUTER_API_KEY") if not api_key: raise ConfigError( "OPENROUTER_API_KEY not set. Copy .env.example to " f".env at {ROOT} and fill in your key, or rerun with " - "--provider gemini if you only have a Gemini API key." + "--provider gemini (Google AI Studio key) or " + "--provider ollama (local server, no key needed)." ) - else: # gemini + elif args.provider == "gemini": api_key = os.getenv("GEMINI_API_KEY") if not api_key: raise ConfigError( "GEMINI_API_KEY not set. Copy .env.example to .env " f"at {ROOT} and fill in your Google AI Studio key, or " - "rerun with --provider openrouter if you only have an " - "OpenRouter key." + "rerun with --provider openrouter (OpenRouter key) or " + "--provider ollama (local server, no key needed)." + ) + else: # ollama + # No API key for local provider. Resolve host + timeout from + # CLI / env / default. Validation of the host URL is implicit + # in the call -- a bad URL produces a typed ConnectError-derived + # ConfigError from ``call_ollama`` with a clear message. + ollama_host = ( + args.ollama_host + or os.getenv("OLLAMA_HOST") + or DEFAULT_OLLAMA_HOST + ) + env_timeout = os.getenv("OLLAMA_TIMEOUT") + try: + ollama_timeout = ( + float(env_timeout) if env_timeout is not None + else DEFAULT_OLLAMA_TIMEOUT + ) + except ValueError as exc: + raise ConfigError( + f"$OLLAMA_TIMEOUT={env_timeout!r} is not a valid float " + "(seconds). Unset it to use the default " + f"({DEFAULT_OLLAMA_TIMEOUT}s) or set it to a positive " + "number of seconds." + ) from exc + if ollama_timeout <= 0: + raise ConfigError( + f"$OLLAMA_TIMEOUT={ollama_timeout} must be positive " + "(seconds)." ) # Build the payload for the chosen mode. ``--include`` / ``--exclude`` @@ -1387,12 +1677,16 @@ def _safe_stat(p: Path) -> tuple[Path, int] | None: ) system_prompt, user_prompt = build_diff_prompts(diff, context) - # Wire-format dispatch. Both providers take the same (system, user) - # prompt pair; only the request shape differs. ``_retry_on_recoverable`` - # wraps the call so a single provider hiccup or 5xx is absorbed - # automatically; other typed errors (safety, rate limit, context - # overflow, config) surface immediately for the caller to handle. + # Wire-format dispatch. All three providers take the same (system, + # user) prompt pair; only the request shape differs. + # ``_retry_on_recoverable`` wraps each call so a single provider + # hiccup or 5xx is absorbed automatically; other typed errors + # (safety, rate limit, context overflow, config) surface immediately + # for the caller to handle. if args.provider == "openrouter": + # mypy: api_key is non-None here -- the config-check block above + # raises if OPENROUTER_API_KEY is missing. + assert api_key is not None referer = os.getenv( "OPENROUTER_HTTP_REFERER", "https://github.com/Airwhale/local-gemini-code-review", @@ -1411,7 +1705,8 @@ def _safe_stat(p: Path) -> tuple[Path, int] | None: ), label="openrouter", ) - else: # gemini + elif args.provider == "gemini": + assert api_key is not None output = _retry_on_recoverable( lambda: call_gemini( system_prompt=system_prompt, @@ -1423,6 +1718,25 @@ def _safe_stat(p: Path) -> tuple[Path, int] | None: ), label="gemini", ) + else: # ollama + # ollama_host and ollama_timeout are non-None here -- the + # config-check block above sets defaults if they weren't + # provided. The assertions document that for readers and + # narrow the type for the lambda closure. + assert ollama_host is not None + assert ollama_timeout is not None + output = _retry_on_recoverable( + lambda: call_ollama( + system_prompt=system_prompt, + user_prompt=user_prompt, + model=model, + host=ollama_host, + temperature=temperature, + max_tokens=max_tokens, + timeout=ollama_timeout, + ), + label="ollama", + ) print(output)