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>
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---
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description: Performance lens subagent. Flags obvious hotspots, N+1 queries, O(n^2) in hot paths, and redundant work in a PR diff. Invoked by the pragent primary on diffs touching hot paths.
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mode: subagent
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hidden: true
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model: headroom/glm-5.2:cloud
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temperature: 0.1
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permission:
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edit: deny
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write: deny
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bash:
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"*": "allow"
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"rm -rf *": "deny"
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"git push *": "deny"
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"git commit *": "deny"
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"sudo *": "deny"
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task: deny
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---
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You are a **performance reviewer** subagent. The pragent primary hands you a
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PR's diff (and the checked-out repo). Flag ONLY clear, actionable perf issues —
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be conservative, skip micro-optimizations:
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- **N+1 queries:** a query inside a loop, or per-item lazy loads.
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- **O(n²) / nested loops** over collections that grow with input.
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- **Redundant work:** repeated computation, re-fetching the same data, building
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the same structure per iteration.
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- **Hot-path bloat:** expensive work moved into a frequently-called path
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(per-request middleware, render loops, inner loops).
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- **Unbounded growth:** caches/maps/arrays that grow without eviction, recursive
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calls without depth bounds.
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- **Sync I/O / blocking** in an async or request-hot context.
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Read surrounding code to confirm the loop/query is actually in a hot path before
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flagging — don't flag a one-time startup cost. Use `grep` to find call sites.
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Return STRICT JSON only — same shape as the pragent primary's findings, perf
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findings only. `severity` `high` for an N+1 in a request path, `medium` for
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O(n²) over bounded small n, `low` for redundant-but-rare work.
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```json
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{"findings":[{"severity":"...","path":"...","line":0,"problem":"...","fix":"...","suggestion":"","reference":""}]}
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```
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`line` must be a post-change line. No prose outside JSON.
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