Commit Graph

5 Commits

Author SHA1 Message Date
Marcos 8c491a7626 harden(pilot): contain hostile PR content, bound the webhook, fix anchoring
The reviewer runs an opencode agent with `bash: "*": allow` over a checkout of
the PR author's branch, and the pod holds a Gitea Write credential. Those two
facts had no wall between them.

Security
- _build_env now allow-lists the subprocess environment instead of inheriting
  it, so PRAGENT_BOT_TOKEN and WEBHOOK_SECRET never reach the agent. This was
  the live hole: a PR body or an AGENTS.md could ask the agent to `curl` the
  token out, and it had both the value and the tool.
- sanitize_workdir deletes author-controlled agent-instruction files from the
  checkout before opencode starts (AGENTS.md at any depth, CLAUDE.md,
  .cursorrules, a repo opencode.json/.opencode, copilot-instructions.md).
  opencode loads nested AGENTS.md as instructions, so a PR could otherwise ship
  its own system prompt. They are still reviewed, as data.
- The brief fences PR title/body and diff in --- UNTRUSTED --- markers under a
  trust-boundary preamble; the pragent agent, the three lens subagents and the
  review-methodology skill now treat injection attempts as a critical finding
  to report rather than an instruction to obey.
- .pr-review.json is read from the PR's base branch, not the head sha. Its
  `instructions` field is spliced into the reviewer's prompt, so head-ref
  reading let any author rewrite the reviewer's rules. Fields are length-capped.
- Untar rejects escaping symlinks, parent traversal, and writes through a
  planted symlink (tar-slip).
- The image runs as uid 10001 instead of root.

Robustness
- Bounded review concurrency (PRAGENT_MAX_CONCURRENT_REVIEWS, default 2). Each
  review forks an opencode process; a thread per delivery was a fork bomb on a
  burst of labels or Gitea retries.
- An in-flight (repo, index, sha) claim closes the check-then-act race in the
  sha-marker dedupe, where two deliveries a second apart both read "not yet
  reviewed" and both posted.
- Request bodies are capped before being read into memory.

Correctness
- parse_diff_anchors counts a whitespace-stripped blank context line. Skipping
  it desynced the new-line counter for the rest of the hunk and silently
  misplaced every later inline comment in that file.
- post_inline_review's body-only fallback folds the anchored findings into the
  body. It previously posted a summary saying "N inline comment(s) below" with
  no comments and no findings — losing them all on the one path that matters.
- fetch_pr_diff's files-endpoint fallback emits real a// b/ prefixes (so
  changed_files and the anchor parser work on it) and reports both HTTP statuses
  in its error instead of the same one twice.
- The CI workflow template pins PRAGENT_ENGINE=ollama; review_pr defaults to
  opencode, which does not exist on a Gitea Actions runner.

Tests: 68 -> 101, covering each of the above.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01B11e8TZZxJyzHW7jj7KWUN
2026-08-18 04:44:44 +00:00
Marcos 087834565d feat(pilot): token-usage reporting gated by AI-USAGE label
Add per-review + per-comment token accounting, surfaced only when a PR carries
the new AI-USAGE label (on top of the existing AI-REVIEW trigger).

opencode_review:
- run_opencode now uses `--format json`; parse_opencode_events reconstructs the
  assistant text from `text` events and sums tokens/cost/steps from every
  `step_finish` event (tolerant of noise / missing fields).
- run() measures duration_s around the opencode call and returns (text, usage).
- changed_files(diff) extracts the `+++ b/` paths; the brief now lists them
  under a "Changed files" focus block so the agent grounds findings in the
  diff's neighbourhood instead of unbounded whole-repo walks.

ai_review:
- format_usage_section renders a `## AI usage` block: measured totals
  (in/out/reasoning/cache/cost/steps/duration), the whole-repo scope note, and
  an attributed per-finding table. Per-comment counts are output tokens split by
  each finding's body weight — labelled "attributed" since one model pass
  produces all findings.
- inline_comment_body appends `🪙 ~N tok (X% · attributed output)` when
  attribution is present.
- review_pr gains report_usage; compute_attribution stashes _tok_attrib/_tok_pct.
- format_review_body inserts the usage section between summary and findings.

webhook_server:
- Fire on every pull_request action except `closed` (denylist, was an allowlist)
  — the AI-REVIEW gate + sha dedupe keep this safe.
- AI-USAGE label detection + PRAGENT_USAGE_ALWAYS env drive report_usage.

.opencode factory + review-methodology skill: new "Ground findings in context"
step — read callers/imports/sibling functions per changed file (1-3 files per
finding), no unbounded walks.

Tests: parse_opencode_events (text+usage sum, malformed tolerance, none-usage),
changed_files, compute_attribution math, inline 🪙 line, format_usage_section
totals/table/cost, format_review_body ordering. 68 passing.

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-18 04:15:11 +00:00
Marcos 76b6752f48 fix(review): language-tagged suggestion fence for Gitea syntax highlighting
Gitea 1.26.x has no GitHub-style 'Apply suggestion' button — a ```suggestion
fence is just an unknown-language code block, so chroma does not highlight it
and there is no apply control. Switch inline_comment_body to wrap the suggested
fix in a fence tagged with the file's language (new _lang_for_path helper,
.java→java, .ts→typescript, .py→python, ...), so Gitea syntax-highlights the
code. No capability lost (there was never an apply button on this Gitea
version). Correct the docstrings/skills/README that wrongly claimed an
apply-button was rendered.

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-18 01:26:37 +00:00
Marcos 8912f6721b deploy: combined opencode image + k8s + docs
- pilot/Dockerfile: python:3.12-slim + node 20 + opencode-ai@1.3.10 +
  ripgrep + pyright/typescript-language-server/eslint (npm) + ruff (pip).
  Factory + pilot scripts baked at /app. imagePullPolicy: Never (local
  import into microk8s containerd).
- .dockerignore: lean build context.
- ~/k8s/pragent-webhook.yaml: image pragent-webhook:opencode, emptyDir work
  at /tmp/pragent-work, env (PRAGENT_ENGINE, OPENCODE_MODEL, PRAGENT_FACTORY_DIR,
  PRAGENT_OPENCODE_BIN, PRAGENT_WORK_ROOT, PRAGENT_RTK_DIR='', timeout 540),
  resources 200m/512Mi -> 1500m/2Gi. Drops the ConfigMap scripts volume.
- pilot/README-webhook.md + .opencode/README.md: opencode engine section,
  build/import/apply steps, factory guide fixes (parse_review_output, steps).

Image builds (1.62GB, smoke-tested: opencode+LSPs+factory+env all present).
Import into microk8s containerd + apply pending (ctr needs sudo).

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-17 23:11:58 +00:00
Marcos 6e3a9eb5b0 feat: opencode review engine + .opencode factory
Replace the single Python model-call reviewer with an opencode agent
factory. A primary 'pragent' agent reads a brief (title/body/diff/config/
prior reviews), inspects the checked-out repo, runs the repo's own linters
via bash, loads review-methodology + findings-schema skills, and emits a
{summary, findings} JSON with per-finding severity/path/line/problem/fix/
suggestion/reference. Dormant security/tests/perf subagent lenses fan out
only on large/risky diffs (lean by default).

pilot/opencode_review.py: fetches the repo archive at the head sha into a
temp workdir, writes .pragent/brief.md, drops the factory, runs
'opencode run --pure --agent pragent --dir <workdir>' headlessly. Isolates
HOME (shared, warmed), strips ANTHROPIC_* env (leaked host vars caused
ProviderModelNotFoundError), stdin=DEVNULL (opencode blocks on stdin),
maps the bare OLLAMA_MODEL to the provider-prefixed ref. No Gitea I/O —
ai_review.review_pr parses + anchors + posts (reuses all v2 logic/tests).

PRAGENT_ENGINE=opencode (default) selects it; =ollama keeps the legacy
direct-call path. Verified end-to-end: posts a real review with a summary
section, inline [CRITICAL]/[HIGH] comments + apply-able suggestions +
reference links, and the sha dedupe marker. 49 tests pass.

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-17 23:01:59 +00:00