Files
shockbot/agents/postRun.ts
T
Colin McDonnell a4a5010441 gemini-3: default thinkingLevel to medium + restrict eager prep to frozen install (#663)
* gemini-3: default thinkingLevel to medium + don't `npm ci` without a lockfile

upstream opencode hardcodes `thinkingLevel: "high"` for every gemini-3 model on
the direct google SDK (see `packages/opencode/src/provider/transform.ts`
`options()`). that added 30-60s of pre-tool-call TTFT and 5-46s of post-tool
jabber per turn, which is overkill for the tool-routing decisions that dominate
agentic loops — and the variance caused the `providers-live (google/gemini-pro)`
smoke job to time out at 4 minutes (see job 75405504847 on run 25684766415).

three changes:

- inject `provider.google.models.<api-id>.options.thinkingConfig.thinkingLevel = "medium"`
  for the two curated gemini-3 slugs in `buildSecurityConfig`. deep-merges over
  the upstream default; explicit `--variant high` / user opencode config still
  wins. flash stays at medium too — low-effort flash is visibly worse and the
  latency win isn't meaningful (flash is already fast).
- bump the `providers-live` harness step from 4 → 6 minutes. the job-level
  8-minute cap stays as the upper bound, but gemini's intrinsic TTFT variance
  was eating most of the 4-minute slack on its own.
- in `installNodeDependencies`, pick `frozen` only when a lockfile was actually
  detected. previously a package.json-only repo (like the smoke fixture's
  `pullfrog/test-repo`) always triggered `npm ci` and emitted a noisy
  `EUSAGE` error before falling through.

* prep: skip eager install when neither lockfile nor `packageManager` field present

the previous commit changed the no-lockfile path from `npm ci` (always errored
`EUSAGE`, never wrote any artifact) to a successful `npm install`, which had
an unintended side effect: it generated `package-lock.json` in the working
tree, tripping the post-run dirty-tree gate. the agent then committed the
lockfile and opened a real PR — and in the openai/gpt smoke run on PR #663,
the agent overwrote the `SMOKE TEST PASSED` output with the PR URL, failing
the smoke validator.

a repo with `package.json` but no lockfile and no `packageManager` field has
not committed dependency state. eagerly installing produces state the repo
doesn't track, which is the dirty-tree problem above. skip the eager install
entirely in that case; the agent can opt in via `await_dependency_installation`
when it actually needs deps. repos with a lockfile or a `packageManager` field
keep the existing frozen-install behavior unchanged.

* post-run: suppress dirty-tree gate in non-committing modes (Review / IncrementalReview / Plan)

the dirty-tree post-run gate currently fires for every mode and tells the agent
to commit and push whatever is in the working tree. that's wrong for modes
that complete by submitting a review (`Review` / `IncrementalReview`) or
posting a Plan comment (`Plan`) — those modes never touch files as part of
their contract, so any tree dirt at end-of-run is incidental tool noise on an
ephemeral worktree. nudging the agent to commit it can produce a spurious PR,
as seen in the openai/gpt smoke run on PR #663 where a stray
`package-lock.json` from `npm install` led the agent to open
pullfrog/test-repo#32 and overwrite the smoke output.

introduce `NON_COMMITTING_MODES` in `action/modes.ts` and consult it in
`collectPostRunIssues`. when the selected mode is read-only, log the
suppression for visibility but skip populating `issues.dirtyTree`. modes that
legitimately commit (`Build`, `AddressReviews`, `Fix`, `ResolveConflicts`,
`Task`) keep the existing nudge.

* prep: restore eager frozen-install, drop non-frozen fallback

eager dependency prep is non-mutating by contract — it runs before the agent
starts and any artifact it leaves in the tree (e.g. a generated
`package-lock.json`) trips the dirty-tree post-run gate and can lead the agent
to open a spurious PR (seen on the openai/gpt smoke run earlier in this PR).

revert the previous skip-when-no-lockfile branch: that was the wrong layer to
enforce the invariant. instead, run `frozen` (`npm ci` / `pnpm install
--frozen-lockfile` / etc.) unconditionally and drop the `|| install` fallback
that could silently mutate the tree when `frozen` is missing. frozen commands
fail cleanly without writing artifacts when there's no lockfile, which is
exactly the safety contract we want. repos that need a real install must opt
in explicitly via a `setup` lifecycle hook.

* review nits: single getGitStatus call, tighten gemini-3 override scope comment

addresses two inline nits from the PR review:

- `collectPostRunIssues` was calling `getGitStatus()` (spawns `git status
  --porcelain`) in both branches of the mode check. lift the call above the
  conditional and branch on the result; same behavior, one git invocation.
- the JSDoc on `GEMINI_3_DIRECT_API_IDS` said the override applies "across
  the board," but the constant only covers the two curated slugs in
  `action/models.ts`. tighten the wording to call out that other gemini-3
  ids in models.dev keep the upstream "high" default.

skipped the bot's yarn-1 concern after reading yarn 1's `install.js`:
`bailout()` (lines 461-465) throws `frozenLockfileError` when
`frozenLockfile && (!lockfileClean || missingPatterns.length > 0)`, which
fires before `linker.init()` writes node_modules or runs lifecycle scripts.
the existing comment's claim that frozen commands fail without artifacts
holds for yarn 1 too.
2026-05-11 22:04:19 +00:00

424 lines
20 KiB
TypeScript

import { readFile } from "node:fs/promises";
import { LIFECYCLE_HOOK_TIMEOUT_MS } from "../lifecycle.ts";
import { NON_COMMITTING_MODES } from "../modes.ts";
import type { ToolState } from "../toolState.ts";
import { log } from "../utils/cli.ts";
import {
SPAWN_ACTIVITY_TIMEOUT_CODE,
SPAWN_TIMEOUT_CODE,
SpawnTimeoutError,
spawn,
} from "../utils/subprocess.ts";
import {
type AgentResult,
type AgentRunContext,
type AgentUsage,
buildCommitPrompt,
getGitStatus,
hasPostRunIssues,
MAX_POST_RUN_RETRIES,
mergeAgentUsage,
type PostRunIssues,
type StopHookFailure,
} from "./shared.ts";
/**
* derive "agent picked a review mode but never produced visible output" from
* the literal facts on `toolState`. returns the selected mode when the gate
* should fire, `null` otherwise — pure read, no side effects, safe to invoke
* after every agent attempt.
*
* the gate is anchored to `hadProgressComment` so silent runs (non-issue
* events, dispatcher skipped seeding) don't fire a nudge there's no UI for.
*/
export function getUnsubmittedReview(toolState: ToolState): "Review" | "IncrementalReview" | null {
const mode = toolState.selectedMode;
if (mode !== "Review" && mode !== "IncrementalReview") return null;
if (toolState.review || toolState.finalSummaryWritten) return null;
if (!toolState.hadProgressComment) return null;
return mode;
}
/**
* hook output can flow into two size-sensitive places: the LLM resume prompt
* (context window) and AgentResult.error (surfaced in GitHub comments capped
* at 65535 chars). truncate the tail to keep both bounded; the tail is
* usually the most actionable part of a failing script's output.
*/
const MAX_HOOK_OUTPUT_CHARS = 4096;
function truncateHookOutput(raw: string): string {
if (raw.length <= MAX_HOOK_OUTPUT_CHARS) return raw;
return `...(truncated, showing last ${MAX_HOOK_OUTPUT_CHARS} chars)\n${raw.slice(-MAX_HOOK_OUTPUT_CHARS)}`;
}
/**
* run the user-configured stop hook.
*
* parallel to `executeLifecycleHook` (which soft-fails with a warning), but
* returns structured output so agent harnesses can feed the failure back into
* the session as a resume prompt.
*
* - non-zero exit → `StopHookFailure`, actionable: the output is fed to the
* agent so it can fix the underlying issue.
* - timeout / spawn error → null, treated as passed: we can't usefully ask the
* agent to fix an infrastructure problem, and retrying would risk infinite
* loops.
*/
export async function executeStopHook(script: string): Promise<StopHookFailure | null> {
log.info("» executing stop hook...");
try {
const result = await spawn({
cmd: "bash",
args: ["-c", script],
env: process.env,
timeout: LIFECYCLE_HOOK_TIMEOUT_MS,
activityTimeout: 0,
onStdout: (chunk) => process.stdout.write(chunk),
onStderr: (chunk) => process.stderr.write(chunk),
});
if (result.exitCode === 0) {
log.info("» stop hook passed");
return null;
}
// include both streams — scripts often emit a benign warning to stderr
// and the actionable error to stdout (or vice versa), and picking one
// starves the agent of the diagnostic it needs. stderr-first so stdout
// (typically longer, where truncation is more likely to bite) keeps its
// tail — summaries/totals usually live at the end.
const combined = [result.stderr.trim(), result.stdout.trim()].filter(Boolean).join("\n");
const output = truncateHookOutput(combined);
log.info(`» stop hook failed with exit code ${result.exitCode}`);
return { exitCode: result.exitCode, output };
} catch (err) {
const isTimeout =
err instanceof SpawnTimeoutError &&
(err.code === SPAWN_TIMEOUT_CODE || err.code === SPAWN_ACTIVITY_TIMEOUT_CODE);
const msg = err instanceof Error ? err.message : String(err);
log.warning(
`stop hook ${isTimeout ? "timed out" : "failed to spawn"}: ${msg} — skipping retry`
);
return null;
}
}
export function buildStopHookPrompt(failure: StopHookFailure): string {
return [
`STOP HOOK FAILED — the repo-configured stop hook exited with code ${failure.exitCode}. your work is not done until the hook exits cleanly. address the issue below and push any resulting changes to a pull request.`,
"",
"```",
failure.output || "(no output)",
"```",
].join("\n");
}
/** check whether the seeded summary file is byte-identical to its seed.
* a missing or unreadable file returns false (don't nudge — the agent
* may have legitimately deleted it, or the seed step failed; the read-
* back path in main.ts handles both cases by skipping persist). */
async function isSummaryUnchanged(filePath: string, seed: string): Promise<boolean> {
try {
const current = await readFile(filePath, "utf8");
return current === seed;
} catch {
return false;
}
}
export function buildSummaryStalePrompt(filePath: string): string {
return [
`PR SUMMARY UNTOUCHED — the rolling PR summary file at \`${filePath}\` is byte-identical to its seed; this run did not edit it.`,
"",
"review the diff and update the file in place to reflect what changed in the PR. update intent, key changes, and any risks worth flagging — keep the existing section headings stable so incremental runs produce clean diffs.",
"",
"if the diff is genuinely too small or noisy to warrant rewriting (e.g. a one-line typo fix, a comment tweak, a formatting-only change), it's fine to leave the structure as-is — but at minimum confirm you considered it by appending one line to the appropriate section noting the run. silence is not an option; the snapshot is what the next review run reads as context.",
].join("\n");
}
export function buildUnsubmittedReviewPrompt(mode: "Review" | "IncrementalReview"): string {
// mode-aware: Review mode's contract is "always submit one review" — its
// mode prompt forbids `report_progress`, so the nudge here must not offer
// it as an exit. IncrementalReview legitimately allows a report_progress
// exit when there are no new issues since the last review (mode prompt
// step 8), so the nudge mirrors that contract.
if (mode === "Review") {
return [
`MISSING REVIEW OUTPUT — you selected Review mode but stopped without calling \`create_pull_request_review\`. the user has no visible signal that this run produced anything; the progress comment will be deleted on exit and no review will appear on the PR.`,
"",
"call `create_pull_request_review` now with your aggregated review (body + inline comments). pick the tier per the mode prompt — Review mode has no no-submit exit, so even informational `> [!NOTE]` reviews and `No new issues found.` reviews must be submitted (both use `approved: true`). the first call may error once with a diff-coverage nudge — retry the same call to proceed.",
"",
"do NOT stop again until `create_pull_request_review` has been called successfully.",
].join("\n");
}
return [
`MISSING REVIEW OUTPUT — you selected IncrementalReview mode but stopped without calling \`create_pull_request_review\` or \`report_progress\`. the user has no visible signal that this run produced anything; the progress comment will be deleted on exit and no review will appear on the PR.`,
"",
"do exactly one of:",
"- if you have findings: call `create_pull_request_review` now with your aggregated review (body + inline comments). the first call may error once with a diff-coverage nudge — retry the same call to proceed.",
"- if there are genuinely no actionable findings since the last review (e.g. only formatting / comment / lockfile changes): call `report_progress` with a 1-2 sentence summary explaining that no review was warranted.",
"",
"do NOT stop again until one of those tools has been called successfully.",
].join("\n");
}
/**
* check the post-run gates: did the stop hook pass, is the working tree
* clean, and (when applicable) did the agent touch the rolling PR summary
* snapshot or produce review output? returns everything that still needs
* nudging so the caller can render a single combined resume prompt.
*
* reads run state directly off `ctx.toolState` so each invocation sees the
* latest mutations from MCP tool calls. `skipSummaryStale` lets the loop
* suppress the summary-stale check after the one-shot nudge has been
* delivered (re-firing it would burn the retry budget on a soft gate the
* agent has already decided not to act on).
*/
export async function collectPostRunIssues(
ctx: AgentRunContext,
options: { skipSummaryStale?: boolean } = {}
): Promise<PostRunIssues> {
const issues: PostRunIssues = {};
if (ctx.stopScript) {
const failure = await executeStopHook(ctx.stopScript);
if (failure) issues.stopHook = failure;
}
// dirty-tree gate fires only in modes that legitimately commit. Review /
// IncrementalReview / Plan complete via review submission or a Plan
// comment, not by touching files — any tree dirt is incidental (e.g. a
// tool-installed `node_modules/`) and the worktree is ephemeral, so
// nudging the agent to commit it would produce a spurious PR. see
// `NON_COMMITTING_MODES` in `action/modes.ts`.
const status = getGitStatus();
const mode = ctx.toolState.selectedMode;
if (status) {
if (mode && NON_COMMITTING_MODES.has(mode)) {
log.info(`» dirty-tree gate suppressed: mode \`${mode}\` does not commit`);
} else {
issues.dirtyTree = status;
}
}
const summaryFilePath = ctx.toolState.summaryFilePath;
const summarySeed = ctx.toolState.summarySeed;
if (!options.skipSummaryStale && summaryFilePath && summarySeed !== undefined) {
const stale = await isSummaryUnchanged(summaryFilePath, summarySeed);
if (stale) issues.summaryStale = { filePath: summaryFilePath };
}
const unsubmittedMode = getUnsubmittedReview(ctx.toolState);
if (unsubmittedMode) issues.unsubmittedReview = unsubmittedMode;
return issues;
}
export function buildPostRunPrompt(issues: PostRunIssues): string {
// order matches the terminal hard-fail order in `runPostRunRetryLoop` so
// the prompt's emphasis (which gate the agent should fix first) lines up
// with the user-visible failure message reported when retries exhaust.
// both hard-fail gates first (`stopHook` → `unsubmittedReview`), then the
// soft gates (`dirtyTree` → `summaryStale`).
const parts: string[] = [];
if (issues.stopHook) parts.push(buildStopHookPrompt(issues.stopHook));
if (issues.unsubmittedReview) {
parts.push(buildUnsubmittedReviewPrompt(issues.unsubmittedReview));
}
if (issues.dirtyTree) parts.push(buildCommitPrompt(issues.dirtyTree));
if (issues.summaryStale) parts.push(buildSummaryStalePrompt(issues.summaryStale.filePath));
return parts.join("\n\n---\n\n");
}
/**
* prompt for a dedicated post-run reflection turn nudging the agent to edit
* the rolling learnings file if it discovered anything worth persisting.
*
* this exists because passive "if you learned something, write it down"
* instructions baked into mode checklists are frequently ignored — the agent
* stays focused on the task and the meta-ask falls through. delivering it
* as its own resume turn, with nothing competing for attention, raises the
* fire rate substantially.
*
* the file is the single source of truth — there is no separate MCP tool
* call. the server reads the file at end-of-run and persists any edits to
* `Repo.learnings`.
*/
export function buildLearningsReflectionPrompt(filePath: string): string {
return [
`REFLECTION — before you finish, think back over this task: did you discover anything about this repo's setup, test commands, conventions, or patterns that is high-confidence and would reliably help future runs?`,
"",
`the rolling learnings file is at \`${filePath}\`. read it first if you haven't already, then edit it in place using your native file tools. the server reads this file at end-of-run and persists any changes — there is no tool to call.`,
"",
`keep the file healthy:`,
`- only add bullets when the finding is high-confidence AND broadly useful. skip speculative, one-off, or "maybe" findings.`,
`- prune bullets that are clearly wrong, no longer relevant, or low-signal (rarely useful). a focused, accurate file beats a long stale one.`,
`- format: flat bullet list, one fact per line starting with \`- \`. deduplicate against existing entries — if a bullet covers the same fact, update it in place instead of adding a duplicate.`,
`- leave the file alone if you have nothing substantively new to add and the existing entries still look healthy. silence is a valid outcome — just reply "done" and stop.`,
].join("\n");
}
/**
* shared post-run retry loop used by every agent harness.
*
* checks the post-run gates (stop hook + dirty tree), and if either is
* failing, invokes `resume` to let the agent fix and push in the same turn.
* bails at `MAX_POST_RUN_RETRIES` attempts. the `canResume` predicate is
* consulted before each retry — harnesses that can't re-enter the session
* (e.g. claude without a sessionId) return false here.
*
* an optional `reflectionPrompt` fires exactly once, after the gates first
* observe a clean state. it's a one-shot nudge (e.g. "update learnings if
* relevant"), not a gate, so it does not consume the gate-retry budget. if
* the reflection turn dirties the tree, the loop picks that up on the next
* iteration via the normal dirty-tree gate.
*
* stop hook must pass for the run to succeed; persistent hook failures are
* surfaced as `AgentResult.error`. dirty-tree-only failures preserve prior
* behavior: they're logged but don't fail the run.
*/
export async function runPostRunRetryLoop<R extends AgentResult>(params: {
ctx: AgentRunContext;
initialResult: R;
initialUsage: AgentUsage | undefined;
resume: (context: { prompt: string; previousResult: R }) => Promise<R>;
canResume?: ((result: R) => boolean) | undefined;
reflectionPrompt?: string | undefined;
}): Promise<AgentResult> {
let result = params.initialResult;
let aggregatedUsage = params.initialUsage;
let finalIssues: PostRunIssues = {};
let gateResumeCount = 0;
let pendingReflection = params.reflectionPrompt;
// nudge for an untouched summary file fires AT MOST ONCE per run. once
// delivered, subsequent collectPostRunIssues calls skip the check — the
// agent may have legitimately decided no edit is warranted, and
// re-prompting would burn the retry budget without adding signal.
let summaryStaleNudged = false;
while (gateResumeCount < MAX_POST_RUN_RETRIES) {
if (!result.success) break;
const issues = await collectPostRunIssues(params.ctx, {
skipSummaryStale: summaryStaleNudged,
});
if (issues.summaryStale) summaryStaleNudged = true;
finalIssues = issues;
if (!hasPostRunIssues(issues)) {
// gates are clean. if a reflection prompt is pending, deliver it once
// and loop back to re-check — the reflection may have touched the tree.
if (!pendingReflection) break;
if (params.canResume && !params.canResume(result)) break;
log.info("» post-run reflection: nudging agent to update learnings if relevant");
const preReflection = result;
const reflectionResult = await params.resume({
prompt: pendingReflection,
previousResult: result,
});
aggregatedUsage = mergeAgentUsage(aggregatedUsage, reflectionResult.usage);
pendingReflection = undefined;
if (!reflectionResult.success) {
// reflection is a best-effort nudge. its failure must not flip a
// successful run to failed — the gated work is already done. keep
// the pre-reflection result and exit without re-running the gates
// (which would risk a flaky false-positive hook failure right after
// it just passed).
log.warning(
`» reflection turn failed (${reflectionResult.error ?? "unknown error"}), preserving prior successful result`
);
result = preReflection;
break;
}
// reflection replies are meta-asks ("done", "updated learnings with N
// bullets") — not a task summary. keep the pre-reflection output so
// the returned AgentResult still reflects what the run accomplished,
// while inheriting reflection-specific fields the harness needs for
// any subsequent gate retry (e.g. the new sessionId claude emits per
// --resume invocation).
// use `||` (not `??`) so an empty pre-reflection output falls through
// to the reflection's reply. runs that only emit MCP tool calls and no
// plain text leave result.output = "" — keeping "" would starve the
// fallback path in handleAgentResult of anything to show.
result = {
...reflectionResult,
output: preReflection.output || reflectionResult.output,
};
continue;
}
// checks still ran even if we can't resume, so the failure gate below
// can still catch a persistent stop-hook failure.
if (params.canResume && !params.canResume(result)) {
log.info("» post-run retry skipped: cannot resume agent session");
break;
}
log.info(`» post-run retry (attempt ${gateResumeCount + 1}/${MAX_POST_RUN_RETRIES})`);
const prompt = buildPostRunPrompt(issues);
// summary-stale is a soft gate that must never flip a successful run to
// failed. when it's the only issue and the resume itself errors out,
// restore the pre-resume successful result and break — persistSummary
// detects the unchanged file via its seed comparison and skips the DB
// write on its own, so no further coordination is needed here.
const onlySummaryStale =
issues.summaryStale !== undefined &&
issues.stopHook === undefined &&
issues.dirtyTree === undefined;
const preResume = result;
result = await params.resume({ prompt, previousResult: result });
aggregatedUsage = mergeAgentUsage(aggregatedUsage, result.usage);
if (!result.success && onlySummaryStale) {
log.warning(
`» summary-stale resume turn failed (${result.error ?? "unknown error"}), preserving prior successful result`
);
result = preResume;
break;
}
gateResumeCount++;
}
// we exhausted retries without observing a clean state — finalIssues
// reflects pre-resume state, so re-check to see what the last resume
// actually did. when the subprocess failed we skip: its own error is more
// actionable than a stale "stop hook still failing" message. when the loop
// already observed a clean state we skip: re-running the hook risks flaky
// false-positive failures right after it just passed.
if (gateResumeCount > 0 && result.success && hasPostRunIssues(finalIssues)) {
// re-check the gates that can actually fail the run (stop hook /
// dirty tree / unsubmitted review). summary-stale is intentionally
// NOT re-checked here: we already delivered the one-shot nudge, and
// a still-unchanged file at this point is the agent's deliberate
// choice.
finalIssues = await collectPostRunIssues(params.ctx, { skipSummaryStale: true });
}
if (result.success && finalIssues.stopHook) {
const retryNote =
gateResumeCount > 0
? ` after ${gateResumeCount} retry ${gateResumeCount === 1 ? "attempt" : "attempts"}`
: "";
return {
...result,
success: false,
error: `stop hook failed${retryNote} (exit code ${finalIssues.stopHook.exitCode}): ${finalIssues.stopHook.output || "(no output)"}`,
usage: aggregatedUsage,
};
}
if (result.success && finalIssues.unsubmittedReview) {
const retryNote =
gateResumeCount > 0
? ` after ${gateResumeCount} retry ${gateResumeCount === 1 ? "attempt" : "attempts"}`
: "";
// mode-aware: Review's contract requires a review submission; only
// IncrementalReview accepts `report_progress` as an exit. mirroring
// the nudge prompt avoids contradicting the agent-facing copy.
const expected =
finalIssues.unsubmittedReview === "Review"
? "create_pull_request_review"
: "create_pull_request_review or report_progress";
return {
...result,
success: false,
error: `${finalIssues.unsubmittedReview} mode finished without calling ${expected}${retryNote}`,
usage: aggregatedUsage,
};
}
return { ...result, usage: aggregatedUsage };
}