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>
The npm prefix in the Dockerfile is /usr, so opencode installs to
/usr/bin/opencode (symlink to /usr/lib/node_modules/...), not
/usr/local/bin/opencode. The cluster E2E failed with ENOENT on
/usr/local/bin/opencode. Fix in three places:
- Dockerfile ENV PRAGENT_OPENCODE_BIN=/usr/bin/opencode
- ~/k8s/pragent-webhook.yaml env value
- _opencode_bin() now defensive: if the configured path is missing,
falls back to shutil.which('opencode') before the linuxbrew last-resort.
- Dockerfile + README deploy notes: containerd import is sudoless via
the group-readable raw socket (the microk8s ctr wrapper sudo-wraps).
Verified: rebuilt + reimported + rolled out; PR #5 (sha 985061c0) review
posted in-pod via the opencode engine (findings=2 inline=2 ok=True),
summary + 2 [CRITICAL] inline comments with suggestions + refs + sha marker.
Co-Authored-By: Claude <noreply@anthropic.com>
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>
Marcos