d6de1c369a
* learnings: edit-in-place tmpfile (drop update_learnings tool)
learnings now follow the PR-summary file pattern: server seeds
`pullfrog-learnings.md` from `Repo.learnings` at startup, agent reads
it as part of context, may edit in place during the post-run reflection
turn, server reads back at end-of-run and PATCHes if changed.
motivation: `update_learnings` required the agent to pass the FULL
merged list as a string parameter — an output-token tax that grew
linearly with the learnings size, and a constant prompt-context
expansion since the contents were also inlined into the LEARNINGS
section. for repos with mature learnings the prompt was getting
visibly noisy in CI logs.
key changes:
- new `action/utils/learnings.ts` (seed/read helpers + 10k cap)
- `main.ts`: always seed; `persistLearnings` mirrors `persistSummary`
(success path, error path, exit-signal handler, idempotent guard,
byte-trim equality skip); forwards `model` for `LearningsRevision.model`
- `LEARNINGS` prompt section now contains only the file path + a
one-line "read it" instruction (no contents inlined)
- `update_learnings` MCP tool deleted; `action/mcp/learnings.ts` removed
- reflection turn (`buildLearningsReflectionPrompt`) reframed around
file editing with explicit prune-stale + leave-alone-if-nothing-new
framing
- `learningsStep` removed from every mode checklist — surface lives only
in the LEARNINGS prompt section + the reflection turn now
* learnings: harden seed step + refresh stale docs (review feedback)
Three findings from PR review, all implemented:
1. wrap learnings seed in best-effort try/catch (action/main.ts) —
the always-on seed block ran unconditionally and an unwrapped
`seedLearningsFile` (mkdir + writeFile) failure (ENOSPC, EACCES,
hostile sandbox) would unwind into the outer main() catch and flip
an otherwise-successful run to "❌ Pullfrog failed" before the
agent even started. asymmetric with `persistLearnings`'s own
best-effort contract. wrap and log on failure; downstream
consumers (`persistLearnings`, agent harnesses, `resolveInstructions`)
already handle `learningsFilePath: undefined` cleanly.
2. refresh wiki/main.md — `resolveInstructions` parameter renamed
from `learnings` to `learningsFilePath` in this PR; the data-flow
diagram and the resolver dependency table both still showed the
pre-refactor signature.
3. drop deleted `learnings.ts` from ROADMAP.md + RESEARCH.md
"missing MCP tool tests" bullets — `action/mcp/learnings.ts` was
removed in this PR; the bullets are otherwise still accurate.
345 lines
16 KiB
TypeScript
345 lines
16 KiB
TypeScript
import { readFile } from "node:fs/promises";
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import { LIFECYCLE_HOOK_TIMEOUT_MS } from "../lifecycle.ts";
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import { log } from "../utils/cli.ts";
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import {
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SPAWN_ACTIVITY_TIMEOUT_CODE,
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SPAWN_TIMEOUT_CODE,
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SpawnTimeoutError,
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spawn,
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} from "../utils/subprocess.ts";
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import {
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type AgentResult,
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type AgentUsage,
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buildCommitPrompt,
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getGitStatus,
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hasPostRunIssues,
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MAX_POST_RUN_RETRIES,
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mergeAgentUsage,
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type PostRunIssues,
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type StopHookFailure,
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} from "./shared.ts";
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/**
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* hook output can flow into two size-sensitive places: the LLM resume prompt
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* (context window) and AgentResult.error (surfaced in GitHub comments capped
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* at 65535 chars). truncate the tail to keep both bounded; the tail is
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* usually the most actionable part of a failing script's output.
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*/
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const MAX_HOOK_OUTPUT_CHARS = 4096;
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function truncateHookOutput(raw: string): string {
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if (raw.length <= MAX_HOOK_OUTPUT_CHARS) return raw;
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return `...(truncated, showing last ${MAX_HOOK_OUTPUT_CHARS} chars)\n${raw.slice(-MAX_HOOK_OUTPUT_CHARS)}`;
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}
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/**
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* run the user-configured stop hook.
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*
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* parallel to `executeLifecycleHook` (which soft-fails with a warning), but
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* returns structured output so agent harnesses can feed the failure back into
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* the session as a resume prompt.
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*
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* - non-zero exit → `StopHookFailure`, actionable: the output is fed to the
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* agent so it can fix the underlying issue.
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* - timeout / spawn error → null, treated as passed: we can't usefully ask the
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* agent to fix an infrastructure problem, and retrying would risk infinite
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* loops.
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*/
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export async function executeStopHook(script: string): Promise<StopHookFailure | null> {
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log.info("» executing stop hook...");
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try {
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const result = await spawn({
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cmd: "bash",
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args: ["-c", script],
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env: process.env,
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timeout: LIFECYCLE_HOOK_TIMEOUT_MS,
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activityTimeout: 0,
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onStdout: (chunk) => process.stdout.write(chunk),
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onStderr: (chunk) => process.stderr.write(chunk),
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});
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if (result.exitCode === 0) {
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log.info("» stop hook passed");
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return null;
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}
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// include both streams — scripts often emit a benign warning to stderr
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// and the actionable error to stdout (or vice versa), and picking one
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// starves the agent of the diagnostic it needs. stderr-first so stdout
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// (typically longer, where truncation is more likely to bite) keeps its
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// tail — summaries/totals usually live at the end.
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const combined = [result.stderr.trim(), result.stdout.trim()].filter(Boolean).join("\n");
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const output = truncateHookOutput(combined);
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log.info(`» stop hook failed with exit code ${result.exitCode}`);
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return { exitCode: result.exitCode, output };
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} catch (err) {
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const isTimeout =
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err instanceof SpawnTimeoutError &&
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(err.code === SPAWN_TIMEOUT_CODE || err.code === SPAWN_ACTIVITY_TIMEOUT_CODE);
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const msg = err instanceof Error ? err.message : String(err);
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log.warning(
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`stop hook ${isTimeout ? "timed out" : "failed to spawn"}: ${msg} — skipping retry`
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);
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return null;
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}
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}
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export function buildStopHookPrompt(failure: StopHookFailure): string {
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return [
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`STOP HOOK FAILED — the repo-configured stop hook exited with code ${failure.exitCode}. your work is not done until the hook exits cleanly. address the issue below and push any resulting changes to a pull request.`,
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"",
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"```",
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failure.output || "(no output)",
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"```",
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].join("\n");
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}
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/** check whether the seeded summary file is byte-identical to its seed.
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* a missing or unreadable file returns false (don't nudge — the agent
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* may have legitimately deleted it, or the seed step failed; the read-
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* back path in main.ts handles both cases by skipping persist). */
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async function isSummaryUnchanged(filePath: string, seed: string): Promise<boolean> {
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try {
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const current = await readFile(filePath, "utf8");
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return current === seed;
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} catch {
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return false;
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}
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}
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export function buildSummaryStalePrompt(filePath: string): string {
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return [
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`PR SUMMARY UNTOUCHED — the rolling PR summary file at \`${filePath}\` is byte-identical to its seed; this run did not edit it.`,
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"",
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"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.",
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"",
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"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.",
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].join("\n");
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}
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/**
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* check the post-run gates: did the stop hook pass, is the working tree
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* clean, and (when applicable) did the agent touch the rolling PR summary
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* snapshot? returns everything that still needs nudging so the caller can
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* render a single combined resume prompt.
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*
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* the summary-stale check is skipped when `summaryFilePath` / `summarySeed`
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* are not provided; this is the common case (non-PR runs, runs where the
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* dispatcher didn't request snapshot generation, runs where the seed step
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* failed). loop callers also pass these as undefined after the agent has
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* already been nudged once, to avoid burning the retry budget on a soft
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* non-blocking gate.
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*/
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export async function collectPostRunIssues(params: {
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stopScript: string | null | undefined;
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summaryFilePath?: string | undefined;
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summarySeed?: string | undefined;
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}): Promise<PostRunIssues> {
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const issues: PostRunIssues = {};
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if (params.stopScript) {
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const failure = await executeStopHook(params.stopScript);
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if (failure) issues.stopHook = failure;
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}
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const status = getGitStatus();
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if (status) issues.dirtyTree = status;
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if (params.summaryFilePath && params.summarySeed !== undefined) {
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const stale = await isSummaryUnchanged(params.summaryFilePath, params.summarySeed);
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if (stale) issues.summaryStale = { filePath: params.summaryFilePath };
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}
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return issues;
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}
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export function buildPostRunPrompt(issues: PostRunIssues): string {
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const parts: string[] = [];
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if (issues.stopHook) parts.push(buildStopHookPrompt(issues.stopHook));
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if (issues.dirtyTree) parts.push(buildCommitPrompt(issues.dirtyTree));
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if (issues.summaryStale) parts.push(buildSummaryStalePrompt(issues.summaryStale.filePath));
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return parts.join("\n\n---\n\n");
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}
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/**
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* prompt for a dedicated post-run reflection turn nudging the agent to edit
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* the rolling learnings file if it discovered anything worth persisting.
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*
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* this exists because passive "if you learned something, write it down"
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* instructions baked into mode checklists are frequently ignored — the agent
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* stays focused on the task and the meta-ask falls through. delivering it
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* as its own resume turn, with nothing competing for attention, raises the
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* fire rate substantially.
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*
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* the file is the single source of truth — there is no separate MCP tool
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* call. the server reads the file at end-of-run and persists any edits to
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* `Repo.learnings`.
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*/
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export function buildLearningsReflectionPrompt(filePath: string): string {
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return [
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`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?`,
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"",
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`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.`,
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"",
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`keep the file healthy:`,
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`- only add bullets when the finding is high-confidence AND broadly useful. skip speculative, one-off, or "maybe" findings.`,
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`- prune bullets that are clearly wrong, no longer relevant, or low-signal (rarely useful). a focused, accurate file beats a long stale one.`,
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`- 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.`,
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`- 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.`,
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].join("\n");
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}
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/**
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* shared post-run retry loop used by every agent harness.
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*
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* checks the post-run gates (stop hook + dirty tree), and if either is
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* failing, invokes `resume` to let the agent fix and push in the same turn.
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* bails at `MAX_POST_RUN_RETRIES` attempts. the `canResume` predicate is
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* consulted before each retry — harnesses that can't re-enter the session
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* (e.g. claude without a sessionId) return false here.
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*
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* an optional `reflectionPrompt` fires exactly once, after the gates first
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* observe a clean state. it's a one-shot nudge (e.g. "update learnings if
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* relevant"), not a gate, so it does not consume the gate-retry budget. if
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* the reflection turn dirties the tree, the loop picks that up on the next
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* iteration via the normal dirty-tree gate.
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*
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* stop hook must pass for the run to succeed; persistent hook failures are
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* surfaced as `AgentResult.error`. dirty-tree-only failures preserve prior
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* behavior: they're logged but don't fail the run.
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*/
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export async function runPostRunRetryLoop<R extends AgentResult>(params: {
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initialResult: R;
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initialUsage: AgentUsage | undefined;
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stopScript: string | null | undefined;
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/** absolute path to the seeded PR summary file. when set together with
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* `summarySeed`, the loop checks after each agent attempt whether the
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* file has been edited; if not, it nudges the agent ONCE via a resume
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* turn (subsequent iterations skip the check so we don't keep burning
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* retries on a soft gate when the agent has decided no edit is warranted). */
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summaryFilePath?: string | undefined;
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/** exact bytes of the seeded summary file used for the unchanged-check. */
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summarySeed?: string | undefined;
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resume: (context: { prompt: string; previousResult: R }) => Promise<R>;
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canResume?: ((result: R) => boolean) | undefined;
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reflectionPrompt?: string | undefined;
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}): Promise<AgentResult> {
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let result = params.initialResult;
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let aggregatedUsage = params.initialUsage;
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let finalIssues: PostRunIssues = {};
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let gateResumeCount = 0;
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let pendingReflection = params.reflectionPrompt;
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// nudge for an untouched summary file fires AT MOST ONCE per run. after
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// we've delivered the prompt, subsequent gate checks pass undefined so
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// the loop doesn't keep flagging the same condition — the agent may have
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// legitimately decided no edit is warranted, and re-prompting would
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// burn the retry budget without adding signal.
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let summaryStaleNudged = false;
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while (gateResumeCount < MAX_POST_RUN_RETRIES) {
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if (!result.success) break;
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const issues = await collectPostRunIssues({
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stopScript: params.stopScript,
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summaryFilePath: summaryStaleNudged ? undefined : params.summaryFilePath,
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summarySeed: summaryStaleNudged ? undefined : params.summarySeed,
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});
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if (issues.summaryStale) summaryStaleNudged = true;
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finalIssues = issues;
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if (!hasPostRunIssues(issues)) {
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// gates are clean. if a reflection prompt is pending, deliver it once
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// and loop back to re-check — the reflection may have touched the tree.
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if (!pendingReflection) break;
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if (params.canResume && !params.canResume(result)) break;
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log.info("» post-run reflection: nudging agent to update learnings if relevant");
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const preReflection = result;
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const reflectionResult = await params.resume({
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prompt: pendingReflection,
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previousResult: result,
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});
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aggregatedUsage = mergeAgentUsage(aggregatedUsage, reflectionResult.usage);
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pendingReflection = undefined;
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if (!reflectionResult.success) {
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// reflection is a best-effort nudge. its failure must not flip a
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// successful run to failed — the gated work is already done. keep
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// the pre-reflection result and exit without re-running the gates
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// (which would risk a flaky false-positive hook failure right after
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// it just passed).
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log.warning(
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`» reflection turn failed (${reflectionResult.error ?? "unknown error"}), preserving prior successful result`
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);
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result = preReflection;
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break;
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}
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// reflection replies are meta-asks ("done", "updated learnings with N
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// bullets") — not a task summary. keep the pre-reflection output so
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// the returned AgentResult still reflects what the run accomplished,
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// while inheriting reflection-specific fields the harness needs for
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// any subsequent gate retry (e.g. the new sessionId claude emits per
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// --resume invocation).
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// use `||` (not `??`) so an empty pre-reflection output falls through
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// to the reflection's reply. runs that only emit MCP tool calls and no
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// plain text leave result.output = "" — keeping "" would starve the
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// fallback path in handleAgentResult of anything to show.
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result = {
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...reflectionResult,
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output: preReflection.output || reflectionResult.output,
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};
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continue;
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}
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// checks still ran even if we can't resume, so the failure gate below
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// can still catch a persistent stop-hook failure.
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if (params.canResume && !params.canResume(result)) {
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log.info("» post-run retry skipped: cannot resume agent session");
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break;
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}
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log.info(`» post-run retry (attempt ${gateResumeCount + 1}/${MAX_POST_RUN_RETRIES})`);
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const prompt = buildPostRunPrompt(issues);
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// summary-stale is a soft gate that must never flip a successful run to
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// failed. when it's the only issue and the resume itself errors out,
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// restore the pre-resume successful result and break — persistSummary
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// detects the unchanged file via its seed comparison and skips the DB
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// write on its own, so no further coordination is needed here.
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const onlySummaryStale =
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issues.summaryStale !== undefined &&
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issues.stopHook === undefined &&
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issues.dirtyTree === undefined;
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const preResume = result;
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result = await params.resume({ prompt, previousResult: result });
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aggregatedUsage = mergeAgentUsage(aggregatedUsage, result.usage);
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if (!result.success && onlySummaryStale) {
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log.warning(
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`» summary-stale resume turn failed (${result.error ?? "unknown error"}), preserving prior successful result`
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);
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result = preResume;
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break;
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}
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gateResumeCount++;
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}
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// we exhausted retries without observing a clean state — finalIssues
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// reflects pre-resume state, so re-check to see what the last resume
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// actually did. when the subprocess failed we skip: its own error is more
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// actionable than a stale "stop hook still failing" message. when the loop
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// already observed a clean state we skip: re-running the hook risks flaky
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// false-positive failures right after it just passed.
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if (gateResumeCount > 0 && result.success && hasPostRunIssues(finalIssues)) {
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// re-check the gates that can actually fail the run (stop hook /
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// dirty tree). summary-stale is intentionally NOT re-checked here:
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// we already delivered the one-shot nudge, and a still-unchanged
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// file at this point is the agent's deliberate choice.
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finalIssues = await collectPostRunIssues({ stopScript: params.stopScript });
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}
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if (result.success && finalIssues.stopHook) {
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const retryNote =
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gateResumeCount > 0
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? ` after ${gateResumeCount} retry ${gateResumeCount === 1 ? "attempt" : "attempts"}`
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: "";
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return {
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...result,
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success: false,
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error: `stop hook failed${retryNote} (exit code ${finalIssues.stopHook.exitCode}): ${finalIssues.stopHook.output || "(no output)"}`,
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usage: aggregatedUsage,
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};
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}
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return { ...result, usage: aggregatedUsage };
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}
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