cavemem

Bash input={"command":"git status --short && git add documentation/eval/2026-09-17-pr-agent-eval-feedback.md && git commit -q -F - <<'EOF'\nAdd PR agent eval feedback from 7-day review export\n\nFindings and proposals from analysing 259 reviews against three user\ncomplaints: comment noise, verbose wording, and uniform review depth.\nDocuments data, root causes in codebase, simulated posting-gate\nreduction (720 -> ~211 inline comments), invariant conflicts, and \nphased plan. No code changes.\n\nCo-Auth… output={"stdout":"?? documentation/eval/\n5d9ea98 Add eval/audit data export script and fix stale environment variable names\nremote: https://bitbucket.org/finaccelteam/osprey/pull-requests/new?source=docs/pr-agent-eval-feedback&t=1 \nremote: \nTo https://bitbucket.org/finaccelteam/osprey.git\n * [new branch] documentation/pr-agent-eval-feedback -> documentation/pr-agent-eval-feedback\nbranch 'documentation/pr-agent-eval-feedback' set up to track 'origin/docs/pr-agent-eval-feedback'.","stderr":"","interrupted":false,"isImage":false,"noO…

Edit input={"file_path":"/home/etc/claude-code/work/osprey/docs/eval/2026-09-17-pr-agent-eval-feedback.md","old_string":"| Confidence ≥ 0.9 | 1.195/1.274 (**94%**; ≥0.8 = 99,5%). Hanya 6 finding di bawah 0.8 |","new_string":"| Confidence ≥ 0.8 | 1.247/1.274 (**98%**); ≥ 0.9 = 1.103 (87%). Hanya 27 finding di bawah 0.8, minimum 0.67 |","replace_all":false} output={"filePath":"/home/etc/claude-code/work/osprey/docs/eval/2026-09-17-pr-agent-eval-feedback.md","oldString":"| Confidence ≥ 0.9 | 1.195/1.274 (**94%**; ≥0.8 = 99,5%). Hanya 6 finding di bawah 0.8 |","newString":"| Confidence ≥ 0.8 | 1.247/1.274 (**98%**); ≥ 0.9 = 1.103 (87%). Hanya 27 finding di bawah 0.8, minimum 0.67 |","originalFile":"# PR agent eval feedback — 2026-09-17\n\nAnalisis data eval review bot (7 hari terakhir) terhadap tiga keluhan user, plus feedback lain yang\nditemukan dari data…

Bash input={"command":"python3 -c \"\nimport json\nfs=[f for l in open('data/eval_data/eval_export_7d_20260917T112201Z.jsonl') for f in json.loads(l)['findings']]\nc=[f['confidence'] for f in fs if f['confidence'] is not None]\nprint(len(fs),len(c),sum(x>=0.9 for x in c),sum(x>=0.85 for x in c),sum(x>=0.8 for x in c),sum(x<0.8 for x in c),minimum(c))\n\"","description":"Compute exact confidence distribution"} output={"stdout":"1274 1274 1103 1201 1247 27 0.67","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

Write input={"file_path":"/home/etc/claude-code/work/osprey/docs/eval/2026-09-17-pr-agent-eval-feedback.md","content":"# PR agent eval feedback — 2026-09-17\n\nAnalisis data eval review bot (7 hari terakhir) terhadap tiga keluhan user, plus feedback lain yang\nditemukan dari data dan codebase. Dokumen ini adalah temuan + usulan; **belum ada perubahan kode**.\n\n- **Data:** `data/eval_data/eval_export_7d_20260917T112201Z.jsonl` (gitignored), hasil\n `python -m scripts.export_eval_data --days 7 --include-dif… output={"type":"create","filePath":"/home/etc/claude-code/work/osprey/docs/eval/2026-09-17-pr-agent-eval-feedback.md","content":"# PR agent eval feedback — 2026-09-17\n\nAnalisis data eval review bot (7 hari terakhir) terhadap tiga keluhan user, plus feedback lain yang\nditemukan dari data dan codebase. Dokumen ini adalah temuan + usulan; **belum ada perubahan kode**.\n\n- **Data:** `data/eval_data/eval_export_7d_20260917T112201Z.jsonl` (gitignored), hasil\n  `python -m scripts.export_eval_data --days …

Bash input={"command":"git switch -c documentation/pr-agent-eval-feedback && mkdir -p documentation/eval && git check-ignore -v data/eval_data/x.jsonl","description":"Create new branch and documentation/eval folder"} output={"stdout":"Switched to new branch 'documentation/pr-agent-eval-feedback'\n.gitignore:43:data/eval_data/\tdata/eval_data/x.jsonl","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

Bash input={"command":"git log --oneline -1 origin/master; git merge-base --is-ancestor HEAD origin/master && echo \"HEAD is in master\"; git rev-list --count HEAD..origin/master; ls documentation | cat; ls documentation/improver | grep -iv \"assessment\\|implementation-log\\|improvement-plan\" | head","description":"Compare HEAD with origin/master and list documentation"} output={"stdout":"5d9ea98 Add eval/audit data export script and fix stale environment variable names\nHEAD is in master\n0\narchitecture\nbeehive\nbuilder\ndebugger\nimprover\nintegration-guide.md\nproject-guide.md\nadaptive-diff-context\nadmin-assign-repo-owner\nasync-chat-via-worker\nbitbucket-comment-reply\nchart-tooltip-prefix-project-dropdown.md\nchat-attribution\nclaude-cli-auth-mode\nconfig-table-runtime-overrides\ndashboard-analytics\ndashboard-growth-chart","stderr":"","interrupted":false,"isImage":false,"…

Bash input={"command":"git status --short --branch; git remote -v; git fetch origin 2>&1 | tail -2; git log --oneline -1; git branch - --contains HEAD | head; ls documentation; ls documentation/improver 2>/dev/null | head","description":"Check git state, remote, and documentation layout"} output={"stdout":"## HEAD (no branch)\norigin\thttps://x-token-auth@bitbucket.org/finaccelteam/osprey.git (fetch)\norigin\thttps://x-token-auth@bitbucket.org/finaccelteam/osprey.git (push)\n * [new tag] web-v0.2.5 -> web-v0.2.5\n * [new tag] web-v0.2.6 -> web-v0.2.6\n5d9ea98 Add eval/audit data export script and fix stale environment variable names\n* (HEAD detached from web-v0.1.0)\n remotes/origin/HEAD -> origin/master\n remotes/origin/master\narchitecture\nbeehive\nbuilder\nde…

Buat branch baru, dan buat markdown file detail feedback dari session ini, kemudian commit dan push

Bash input={"command":"grep -n \"mapped_column\\|^ROLE\\|^SOURCE\" application/models/chat_message.py","description":"Inspect chat_messages columns"} output={"stdout":"4:from sqlalchemy.orm import Mapped, mapped_column\n9:ROLE_USER = \"user\"\n10:ROLE_ASSISTANT = \"assistant\"\n31:SOURCE_WEB = \"web\"\n32:SOURCE_BITBUCKET = \"bitbucket\"\n56: review_event_id: Mapped[int] = mapped_column(\n59: role: Mapped[str] = mapped_column(String(10), nullable=False)\n60: content: Mapped[str] = mapped_column(Text, nullable=False)\n64: user_id: Mapped[int | None] = mapped_column(BigInteger, ForeignKey(\"users.id\"), nullable=True)\n65: user_email: M…

Bash input={"command":"ls application/models; sed -n 1,40p application/services/comment_reply_service.py; grep -n \"__tablename__\\|Column\\|mapped_column\" application/models/feedback.py application/models/repo_memory.py | head -30","description":"Find where engineer comment replies are stored"} output={"stdout":"__init__.py\n__pycache__\naudit_log.py\nbase.py\nbitbucket_credential.py\nchat_message.py\nconfig.py\ncredential_access_request.py\ncredential_manager.py\ncredential_viewer.py\nfeedback.py\nfinding.py\nknowledge_graph.py\npull_request_event.py\npull_request_process_log.py\nrepo_memory.py\nreview_event.py\nuser.py\nwebhook_delivery.py\n\"\"\"Ingest for `pullrequest:comment_created` — bot answering engineers in its own threads.\n\nThis is SECOND, isolated ingest path alongside Web…

Bash input={"command":"python3 - <<'EOF'\nimport json,collections\nrows=[json.loads(l) for l in open('data/eval_data/eval_export_7d_20260917T112201Z.jsonl')]\nprint('reviews with feedback',sum(1 for r in rows if r['feedback']))\nprint('finding keys',sorted(rows[0]['findings'][0].keys()))\ns=open('data/eval_data/eval_export_7d_20260917T112201Z.jsonl').read()\nfor k in ['reply','replies','user_comment','comment_body','resolved']: print(k, s.count('\"'+k))\nEOF\ngrep -n \"feedback\\|reply\\|comment\" scripts/… output={"stdout":"reviews with feedback 0\nfinding keys ['blocking', 'carried_from_review_event_id', 'category', 'confidence', 'file_path', 'graph_impact', 'id', 'impact', 'impacted_callers', 'line_number', 'line_side', 'needs_comment', 'posted', 'reason', 'recommendation', 'severity', 'suggested_code', 'title']\nreply 0\nreplies 0\nuser_comment 0\ncomment_body 0\nresolved 15\n2:days, joining findings, feedback, and knowledge graph used, with diff/transcript/graph\n47:from application.models.feedback i…

Di data sekarang udah ada data comment dari user ga ya?

Bash input={"command":"grep -n \"same commit as previous\\|no file differs\" application/services/review_incremental.py; grep -n \"repo_dir. is accepted\\|responses.create\" application/integrations/codex_client.py; grep -n \"_normalize(title)\" application/models/finding.py; grep -n \"Report every real problem\\|confidence\\\":\\|Always fill in \\\"strengths\\\"\" application/integrations/prompts/review_instruction.txt; grep -n \"def _merge_verdict\" application/services/review_aggregate.py; grep -n \"inline_comment_min_severity_default\" … output={"stdout":"101: return _full(\"same commit as previous review\")\n129: return _full(\"no file differs from previous review\")\n120: \"\"\"`repo_dir` is accepted for engine parity and deliberately unused: this engine reviews\n292: response = self.client().responses.create(\n90: _normalize(title) or _normalize(reason),\n21:- Report every real problem you find. There is no limit on how many findings you may return; order them highest impact first.\n29:- \"…

Bash input={"command":"python3 - <<'EOF'\nimport json,collections,hashlib\nrows=[json.loads(l) for l in open('data/eval_data/eval_export_7d_20260917T112201Z.jsonl')]\nrows.sort(key=lambda r:r['created_at'])\nseen_diff=collections.defaultdict(set); prior=collections.defaultdict(list)\nposted=[]\nfor r in rows:\n k=(r['repo_slug'],r['pr_id']); h=hashlib.md5((r['diff'] or '').encode()).hexdigest()\n ident = h in seen_diff[k]; seen_diff[k].add(h)\n rel = (r['source_branch'] or '').startswith('release/… output={"stdout":"baseline posted 720\nA drop byte-identical re-reviews: 556 (77%)\nB + drop near-dup of earlier posted (same file ±5): 513 (71%)\nC + drop tests category inline: 457 (63%)\nD + drop release/* & main source branches: 358 (49%)\nE + inline only high/critical or blocking: 211 (29%)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

Bash input={"command":"python3 - <<'EOF'\nimport json,re,collections\nrows=[json.loads(l) for l in open('data/eval_data/eval_export_7d_20260917T112201Z.jsonl')]\nfs=[(r,f) for r in rows for f in r['findings']]\nabsn=re.compile(r\"(not (added|included|present|defined|registered|shown|visible) (in|by) (this|) (diff|change)|diff (does not|doesn't) (add|include|show|contain)|no (corresponding|matching) (migration|test|definition)|outside (this|) (diff|change)|unless.* (already )?exists|is not (added|reg… output={"stdout":"absence/out-of-diff claims 33 posted 20 blocking 32 Counter({'high': 32, 'medium': 1}) Counter({'gpt-5.6-terra': 31, 'gpt-5.6-luna': 2})\nversion/existence claims 29\n - dodo medium non-DOM fallback counts invisible script content | When document is unavailable, fallback strips only tags and leaves script, style, template, and noscript bodies in returned text. script payload can t\n - dodo medium Migrate Application to new session mapper | `buildSessionFromApi` is new mo…

Bash input={"command":"python3 - <<'EOF'\nimport json,re,collections,random\nrows=[json.loads(l) for l in open('data/eval_data/eval_export_7d_20260917T112201Z.jsonl')]\nfs=[(r,f) for r in rows for f in r['findings'] if f['posted'] and not f['carried_from_review_event_id']]\nspec=re.compile(r\"\\b(unless|if any|any caller|assum|not visible|not shown|no evidence|cannot verify| diff does not show|outside (this|) diff|elsewhere)\\b\",re.I)\ns=[(r,f) for r,f in fs if spec.search(f['reason']+' '+(f['recomm… output={"stdout":"posted fresh 720 speculative-conditional wording 36 Counter({'high': 22, 'medium': 12, 'critical': 1, 'low': 1}) blocking 24\n- clik [high/correctness/0.78/blk True] Preserve S3 path for old-data status processing \n old-data branch still constructs s3_url_path but no longer passes it to process_old_data. That helper previously received location of stored CLIK result, and this change leaves it unable to use that artifact when processing cached results.\n- dodo [high…

Bash input={"command":"grep -rn \"CODEX_MODEL\\|SIMPLE_CHANGE\\|INLINE_COMMENT\\|REVIEW_ENGINE\\|SHARD\\|MEMORY_\\|REPO_CONTEXT\\|JIRA_ENABLED\\|KNOWLEDGE_GRAPH\".ecs 2>/dev/null | grep -v \"^\\s*#\" | head -30; python3 - <<'EOF'\nimport json,collections,statistics as st\nrows=[json.loads(l) for l in open('data/eval_data/eval_export_7d_20260917T112201Z.jsonl')]\ndef dl(d): return sum(1 for l in (d or '').splitlines() if l[:1] in '+-' and not l.startswith(('+++','---')))\nfor m in ['gpt-5.6-luna','gpt-5.6-… output={"stdout":"gpt-5.6-luna 94 difflines median 9.0 maximum 48 minimum 1 findings mean 1.16 verdict Counter({'comment': 43, 'request_changes': 26, 'approve': 25})\ngpt-5.6-terra 163 difflines median 484 maximum 48764 minimum 8 findings mean 7.15 verdict Counter({'request_changes': 120, 'comment': 28, 'approve': 15})\nreviews with diff chars > 160k (multi-shard likely) 48\noutput tokens median 1506 input median 3651\nrelease/main source-branch reviews 17 findings 192 posted 106 [(('release/staging', 'master'), 6), (…

Read input={"file_path":"/root/.claude/projects/-home-etc-claude-code-work-osprey/52012d37-364a-455d-a224-f13925c4fd41/tool-results/be39rqtxo.txt"} output={"type":"text","file":{"filePath":"/root/.claude/projects/-home-etc-claude-code-work-osprey/52012d37-364a-455d-a224-f13925c4fd41/tool-results/be39rqtxo.txt","content":"====================================================================================================\nkvn-krdv-shark 16 | change ssm path | model gpt-5.6-luna | verdict comment medium\ndiff --git/web/shark/settings/setup_env.py b/web/shark/settings/setup_env.py\nindex b999c87..35fcb5c 100644\n---/web/shark/settings/setup_env.p…

Bash input={"command":"cat > /tmp/claude-0/-home-etc-claude-code-work-osprey/52012d37-364a-455d-a224-f13925c4fd41/scratchpad/q4.py <<'EOF'\nimport json,random\nF='data/eval_data/eval_export_7d_20260917T112201Z.jsonl'\nrows=[json.loads(l) for l in open(F)]\ndef dl(d): return sum(1 for l in (d or '').splitlines() if l[:1] in '+-' and not l.startswith(('+++','---')))\nsmall=[r for r in rows if r['diff'] and 0<dl(r['diff'])<=40 and r['findings']]\nrandom.seed(7)\nfor r in random.sample(small, 14):\n print('… output={"stdout":"====================================================================================================\nkvn-krdv-shark 16 | change ssm path | model gpt-5.6-luna | verdict comment medium\ndiff --git/web/shark/settings/setup_env.py b/web/shark/settings/setup_env.py\nindex b999c87..35fcb5c 100644\n---/web/shark/settings/setup_env.py\n+++ b/web/shark/settings/setup_env.py\n@@ -39,7 +39,7 @@ def setup():\n )\n return False\n \n- SSM_PATH = \"/krdv-de-shark-v2/{}/\".for…

Bash input={"command":"sed -n 1,60p application/services/review_incremental.py; sed -n 100,200p application/services/review_incremental.py","description":"Read incremental review decision logic"} output={"stdout":"\"\"\"Review only what changed since this pull request was last reviewed.\n\nA pull request is reviewed once per push. Before this module, every push re-reviewed ENTIRE\ndiff from scratch: 60-file pull request pushed five times cost five full reviews, and\n`INLINE_COMMENT_CROSS_RUN_DEDUP_ENABLED` only stopped same COMMENT being posted twice — it\nnever saved single token. With size caps removed and reviews sharded, that repeat cost is\nmultiplied by shard count, so…

Bash input={"command":"cat > /tmp/claude-0/-home-etc-claude-code-work-osprey/52012d37-364a-455d-a224-f13925c4fd41/scratchpad/q3.py <<'EOF'\nimport json,collections,hashlib\nF='data/eval_data/eval_export_7d_20260917T112201Z.jsonl'\nrows=[json.loads(l) for l in open(F)]\nagg=collections.defaultdict(list)\nfor r in rows: agg[(r['repo_slug'],r['pr_id'])].append(r)\nnear=0; total_later=0; ex=[]\nsame_diff_rereview=0; same_diff_new_posts=0\nfor k,v in agg.items():\n v.sort(key=lambda r:r['created_at'])\n p… output={"stdout":"posted on re-reviews 300 of which near-dup of earlier posted (same file, ±5 lines, reworded title) 119\nre-reviews on byte-identical diff 23 inline comments posted on them 164\n(('dodo', 1101), 'hr_ops/src/services/adwt_service.py', 1236, 'Provision new eligibility StageStatus rows in this change', 1240, 'New eligibility stages are required but not provisioned')\n(('dodo', 1101), 'hr_ops/src/web/app.py', 11963, 'Validate manual assignment stores on server', 11963, 'Manual assi…

Bash input={"command":"grep -n \"def finding_fingerprint\" -A40 application/models/finding.py; grep -n \"identical\\|same diff\\|diff_sha\\|diff_hash\" application/services/review_incremental.py application/services/webhook_service.py application/services/review_service.py | head -20","description":"Check fingerprint and same-diff re-review handling"} output={"stdout":"61:def finding_fingerprint(\n62- file_path: str | None,\n63- category: str | None,\n64- title: str | None,\n65- reason: str | None = None,\n66-) -> str:\n67- \"\"\"Stable cross-run identity of finding: which file, what problem, which problem.\n68-\n69- Used for one thing only — deciding whether inline comment for this finding has ALREADY been\n70- posted on this pull request by EARLIER review of it, so re-review after push does not\n71- repository…

Bash input={"command":"cat > /tmp/claude-0/-home-etc-claude-code-work-osprey/52012d37-364a-455d-a224-f13925c4fd41/scratchpad/q2.py <<'EOF'\nimport json,collections\nF='data/eval_data/eval_export_7d_20260917T112201Z.jsonl'\nrows=[json.loads(l) for l in open(F)]\nagg=collections.defaultdict(list)\nfor r in rows: agg[(r['repo_slug'],r['pr_id'])].append(r)\ndef dl(d):\n return sum(1 for l in (d or '').splitlines() if l[:1] in '+-' and not l.startswith(('+++','---')))\ntop=sorted(agg.items(), key=lambda kv:-… output={"stdout":"('griffin', 17) Init reviews 10 posted 104 difflines per review [13262, 13262, 13262, 13528, 20025, 20166, 20166, 20554, 20592, 20592] findings per review [12, 20, 18, 12, 25, 25, 26, 24, 25, 25] verdicts ['request_changes', 'request_changes', 'request_changes', 'request_changes', 'request_changes', 'approve', 'request_changes', 'request_changes', 'request_changes', 'request_changes']\n('dodo', 1120) Hadi/hr sales adwt backup reviews 15 posted 85 difflines per review [5224, 5224, 5073…

Bash input={"command":"cat > /tmp/claude-0/-home-etc-claude-code-work-osprey/52012d37-364a-455d-a224-f13925c4fd41/scratchpad/q.py <<'EOF'\nimport json,collections,statistics as st,re\nF='data/eval_data/eval_export_7d_20260917T112201Z.jsonl'\nrows=[json.loads(l) for l in open(F)]\nC=collections.Counter\nfs=[(r,f) for r in rows for f in r['findings']]\nprint('not posted breakdown', C((f['needs_comment'], bool(f['carried_from_review_event_id'])) for r,f in fs if not f['posted']))\n# re-reviews per PR\npr=C((r… output={"stdout":"not posted breakdown Counter({(False, False): 239, (True, True): 220, (False, True): 89, (True, False): 6})\nunique PRs 177 reviews/PR dist Counter({1: 143, 2: 19, 4: 5, 3: 5, 5: 2, 10: 1, 8: 1, 15: 1})\nposted inline total 720\nposted inline comments per PR: mean 4.07 median 1 p90 7 maximum 104\nblocking by cat Counter({('correctness', True): 376, ('tests', False): 321, ('correctness', False): 173, ('reliability', True): 105, ('security', True): 89, ('reliability', False): 74, ('maintain…

Bash input={"command":"sed -n 120,210p application/integrations/codex_client.py; sed -n 255,321p application/integrations/codex_client.py; grep -n \"def _summary_comment_body\" -A70 application/services/review_service.py | head -90","description":"Read Codex call path and summary comment body"} output={"stdout":" \"\"\"`repo_dir` is accepted for engine parity and deliberately unused: this engine reviews\n diff over API and never walks working tree, so clone it points at is\n irrelevant here. `repo_context` arrives already READ from that tree by caller, which\n is why this engine gets repository's conventions despite never touching checkout.\n\n `custom_instruction`, repository's conventions file, this repository's memory, PR's\n …

Bash input={"command":"sed -n 1,120p application/integrations/codex_client.py; grep -n \"def \\|responses.create\\|reasoning\" application/integrations/codex_client.py","description":"Read Codex engine client"} output={"stdout":"\"\"\"Codex review engine (OpenAI Responses API), selected with REVIEW_ENGINE=codex.\n\nA PEER of Claude engine, not fallback for it: failing claude review stays failing\nreview and is redriven by SQS: it never silently changes model vendor mid-flight. Exactly one\nengine is live per deployment, chosen by configuration.\n\nUnlike claude path this talks to HTTP API than CLI subprocess, so it carries \nfleet-standard resilience subprocess could not have (`application/i…

Bash input={"command":"grep -n \"_inline_comment_body\\|def _pr_level_body\\|def _post_pr_level_comment\" -A60 application/services/review_service.py | sed -n 1,200p; sed -n 330,420p application/config.py; sed -n 515,535p application/config.py","description":"Read inline/PR comment body rendering and model configuration"} output={"stdout":"164:def _inline_comment_body(finding: Finding, review_url: str) -> str:\n165- \"\"\"One inline comment: headline, why, impact, fix, suggested code, dependencies, link.\n166-\n167- Every new block is conditional, so finding carrying none of senior-review fields produces\n168- EXACTLY body this bot posted before they existed — that equivalence is tested invariant.\n169- \"\"\"\n170- title = (finding.title or \"\").strip()\n171- # With title comment le…

Bash input={"command":"cat application/integrations/bitbucket_comment.py | head -200; grep -n \"reasoning\\|effort\\|model_reasoning\" application/integrations/codex_client.py application/integrations/claude_code_client.py application/config.py | head -30","description":"Read comment formatting and reasoning-effort configuration"} output={"stdout":"\"\"\" invisible marker stamped on every comment this bot writes on Bitbucket PR.\n\nLoop prevention. bot now *replies* to comments in threads it started, so comment it\nwrote could otherwise come straight back in as `pullrequest:comment_created` delivery and be\nanswered again, forever. repository/workspace access token has no stable account id in webhook\npayload, so \"did we write this?\" cannot be decided from author — it is decided from \nzero-width sequence application…

Bash input={"command":"sed -n 1100,1330p application/services/review_service.py; grep -n \"tier\\|model_simple\\|simple_max\\|shard_max_tokens\\|max_tokens\" application/config.py | head -30","description":"Read inline comment posting gate and tier configuration"} output={"stdout":" # Senior-review fields. Persisted for EVERY finding, including ones filters\n # below will not comment on: review page shows all of them, so suppressing \n # comment must never cost engineer finding's detail.\n title=item.title,\n category=item.normalized_category(),\n impact=item.impact,\n suggested_code=item.suggested_code,\n confidence=item.norma…

Bash input={"command":"cat application/services/review_sharder.py; echo =====; cat application/services/review_aggregate.py","description":"Read sharder and aggregation logic"} output={"stdout":"\"\"\"Split one pull request's reviewable diff into engine-sized shards.\n\nThis module exists because caps are gone. review used to be exactly one engine call\ncarrying whole diff, and three ceilings ( 50-file cap, 130k-token diff budget, and \n\"report at most 10 findings\" instruction) existed to protect that single call. Removing them\nwithout changing shape would only move rejection to model, so shape changed: \ndiff too big for one call is now REVI…

Bash input={"command":"grep -rn \"INLINE_COMMENT\\|inline_comment_min\\|min_confidence\\|MIN_SEVERITY\" application --include=*.py | grep -v __pycache__ | head -40; echo ----; cat application/utils/diff_stats.py; echo ----; cat application/utils/diff_classify.py | head -150","description":"Find comment gates, model tiering, diff classification"} output={"stdout":"application/config.py:91: \"inline_comment_min_confidence\": \"inline_comment_min_confidence_default\",\napp/config.py:92: \"inline_comment_min_severity\": \"inline_comment_min_severity_default\",\napp/config.py:372: # per-review cap (INLINE_COMMENT_MAX_PER_REVIEW, default 10) is gone along with \"at most 10\napp/config.py:376: inline_comment_min_severity_default: str = Field(\napp/config.py:377: default=\"info\", validation_alias=\"INLINE_COMMENT_MIN_SEVERITY\"…

Bash input={"command":"cat application/integrations/review_prompt.py","description":"Read review prompt builder"} output={"stdout":"\"\"\" review request/response contract, shared by every engine.\n\nLifted verbatim out of `claude_code_client` when Codex engine was added. Both halves live\nhere so two providers cannot drift: STRICT-JSON shape asked for below is same shape\n`extract_json` pulls back out, so wording change in one engine's copy would otherwise silently\nchange what other one parses. There is exactly one copy of each.\n\nA repository may ALSO carry its own guidance (`bitbucket…

Bash input={"command":"ls -la application/integrations/prompts; for f in application/integrations/prompts/*; do echo \"=== $f\"; cat \"$f\"; done","description":"Read all review prompt templates"} output={"stdout":"total 52\ndrwxr-xr-x 2 root root 4096 Sep 17 11:26.\ndrwxr-xr-x 4 root root 4096 Sep 17 11:26..\n-rw-r--r-- 1 root root 162 Aug 13 04:26 chat_prompt.txt\n-rw-r--r-- 1 root root 393 Aug 13 04:26 custom_instruction.txt\n-rw-r--r-- 1 root root 586 Aug 13 04:26 graph_instruction.txt\n-rw-r--r-- 1 root root 1375 Aug 13 04:26 jira_context.txt\n-rw-r--r-- 1 root root 1103 Aug 13 04:27 memory_feedback_scoring.txt\n-rw-r--r-- 1 root root 663 Aug 13 04:27 memory_instruction.txt\n-rw-r--r-…

Bash input={"command":"mkdir -p /tmp/claude-0/-home-etc-claude-code-work-osprey/52012d37-364a-455d-a224-f13925c4fd41/scratchpad && cat > /tmp/claude-0/-home-etc-claude-code-work-osprey/52012d37-364a-455d-a224-f13925c4fd41/scratchpad/agg.py <<'EOF'\nimport json,collections,statistics as st\nF='data/eval_data/eval_export_7d_20260917T112201Z.jsonl'\nrows=[json.loads(l) for l in open(F)]\nC=collections.Counter\nprint('status',C(r['status'] for r in rows))\nprint('model',C(r['review_model'] for r in rows))\npri… output={"stdout":"status Counter({'completed': 259})\nmodel Counter({'gpt-5.6-terra': 163, 'gpt-5.6-luna': 94, None: 2})\nverdict Counter({'request_changes': 146, 'comment': 73, 'approve': 40})\nrisk Counter({'high': 121, 'medium': 71, 'low': 65, None: 2})\nrepos [('dodo', 45), ('griffin', 23), ('ferret-catalog', 22), ('clik', 21), ('theropods', 17), ('mle-platform-kfi-k8s-infrastructure', 16), ('pefindo', 16), ('koala', 13), ('scorpion', 11), ('kvn-krdv-lynx', 10), ('theropods-th', 8), ('extraction_pi…

Bash input={"command":"cat scripts/README.md | head -120; wc -l data/eval_data/*.jsonl; head -c 3000 data/eval_data/*.jsonl; echo; python3 -c \"\nimport json,collections\nc=collections.Counter(); keys=collections.defaultdict(set)\nfor l in open('data/eval_data/eval_export_7d_20260917T112201Z.jsonl'):\n d=json.loads(l); t=d.get('record_type') or d.get('type') or d.get('kind'); c[t]+=1; keys[t]|=set(d.keys())\nprint(c)\nfor k,v in keys.items(): print(k, sorted(v))\n\"","description":"Read export README … output={"stdout":"# scripts/\n\n## export_eval_data.py\n\nExports PR review context for evaluation/audit: one JSON record per line (JSONL), one line per\n`review_events` row in last N days — repository, PR, diff, findings, human feedback, model used,\nverdict/risk reasoning, and knowledge graph used (if any).\n\n### Setup\n\n```bash\ncd scripts\ncp.env.example.env\n```\n\nFill in `.environment` with real values:\n- **Database**: `DATABASE_HOST`, `DATABASE_PORT`, `DATABASE_DB`, `DATABASE_USERNAME`,\n  `DATA…

Bash input={"command":"git log --oneline -3 -- scripts/ data/; ls scripts 2>/dev/null; ls prompts; wc -l prompts/* application/integrations/review_prompt.py application/integrations/claude_code_client.py application/integrations/codex_client.py 2>/dev/null; ls application/services application/utils application/integrations","description":"Inspect prompts, scripts, and service layout"} output={"stdout":"5d9ea98 Add eval/audit data export script and fix stale environment variable names\nREADME.md\n__init__.py\nexport_eval_data.py\nls: cannot access 'prompts': No such file or directory\n 410 application/integrations/review_prompt.py\n 508 application/integrations/claude_code_client.py\n 321 application/integrations/codex_client.py\n 1239 total\napp/integrations:\n__init__.py\n__pycache__\naws.py\nbitbucket_client.py\nbitbucket_comment.py\nclaude_auth.py\nclaude_code_client.py\ncodex_client.py\ngit_ops.py\njira_client.p…

Bash input={"command":"ls -la data/eval_data | head -50; du -sh data/eval_data; find data/eval_data -type f | head -30; find data/eval_data -type f | wc -l","description":"List eval data directory contents"} output={"stdout":"total 39776\ndrwxr-xr-x 2 ubuntu ubuntu 4096 Sep 17 11:27.\ndrwxr-xr-x 3 root root 4096 Sep 17 11:27..\n-rw-r--r-- 1 ubuntu ubuntu 40716295 Sep 17 11:27 eval_export_7d_20260917T112201Z.jsonl\n39M\tdata/eval_data\ndata/eval_data/eval_export_7d_20260917T112201Z.jsonl\n1","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

check data/eval_data buat improve our PR agent flow dan output. beberapa concern dari user adalah: 1. over untuk ngasih review/komen, padahal kadang itu salah dan minor, komen cuma kalo lu percaya ini perlu di review dan lu confidence enough. 2. bahasa yang lu kasih harus to point, mungkin bisa pakai bluff communication. 3. perlu ada stratifikasi di chunk level kalo changes nya complex perlu check lebih detail terkait review nya, else bisa lebih simple reasoning nya. based on data tersebut kasih juga feedback buat improve PR agent kita dengan cek data dan codebase