debug

oleh openai

Menyelidiki proses yang macet dan kegagalan eksekusi dengan melacak Symphony dan Codex

npx skills add https://github.com/openai/symphony --skill debug

Debug

Goals

  • Find why a run is stuck, retrying, or failing.
  • Correlate Linear issue identity to a Codex session quickly.
  • Read the right logs in the right order to isolate root cause.

Log Sources

  • Primary runtime log: log/symphony.log
    • Default comes from SymphonyElixir.LogFile (log/symphony.log).
    • Includes orchestrator, agent runner, and Codex app-server lifecycle logs.
  • Rotated runtime logs: log/symphony.log*
    • Check these when the relevant run is older.

Correlation Keys

  • issue_identifier: human ticket key (example: MT-625)
  • issue_id: Linear UUID (stable internal ID)
  • session_id: Codex thread-turn pair (<thread_id>-<turn_id>)

elixir/docs/logging.md requires these fields for issue/session lifecycle logs. Use them as your join keys during debugging.

Quick Triage (Stuck Run)

  1. Confirm scheduler/worker symptoms for the ticket.
  2. Find recent lines for the ticket (issue_identifier first).
  3. Extract session_id from matching lines.
  4. Trace that session_id across start, stream, completion/failure, and stall handling logs.
  5. Decide class of failure: timeout/stall, app-server startup failure, turn failure, or orchestrator retry loop.

Commands

# 1) Narrow by ticket key (fastest entry point)
rg -n "issue_identifier=MT-625" log/symphony.log*

# 2) If needed, narrow by Linear UUID
rg -n "issue_id=<linear-uuid>" log/symphony.log*

# 3) Pull session IDs seen for that ticket
rg -o "session_id=[^ ;]+" log/symphony.log* | sort -u

# 4) Trace one session end-to-end
rg -n "session_id=<thread>-<turn>" log/symphony.log*

# 5) Focus on stuck/retry signals
rg -n "Issue stalled|scheduling retry|turn_timeout|turn_failed|Codex session failed|Codex session ended with error" log/symphony.log*

Investigation Flow

  1. Locate the ticket slice:
    • Search by issue_identifier=<KEY>.
    • If noise is high, add issue_id=<UUID>.
  2. Establish timeline:
    • Identify first Codex session started ... session_id=....
    • Follow with Codex session completed, ended with error, or worker exit lines.
  3. Classify the problem:
    • Stall loop: Issue stalled ... restarting with backoff.
    • App-server startup: Codex session failed ....
    • Turn execution failure: turn_failed, turn_cancelled, turn_timeout, or ended with error.
    • Worker crash: Agent task exited ... reason=....
  4. Validate scope:
    • Check whether failures are isolated to one issue/session or repeating across multiple tickets.
  5. Capture evidence:
    • Save key log lines with timestamps, issue_identifier, issue_id, and session_id.
    • Record probable root cause and the exact failing stage.

Reading Codex Session Logs

In Symphony, Codex session diagnostics are emitted into log/symphony.log and keyed by session_id. Read them as a lifecycle:

  1. Codex session started ... session_id=...
  2. Session stream/lifecycle events for the same session_id
  3. Terminal event:
    • Codex session completed ..., or
    • Codex session ended with error ..., or
    • Issue stalled ... restarting with backoff

For one specific session investigation, keep the trace narrow:

  1. Capture one session_id for the ticket.
  2. Build a timestamped slice for only that session:
    • rg -n "session_id=<thread>-<turn>" log/symphony.log*
  3. Mark the exact failing stage:
    • Startup failure before stream events (Codex session failed ...).
    • Turn/runtime failure after stream events (turn_* / ended with error).
    • Stall recovery (Issue stalled ... restarting with backoff).
  4. Pair findings with issue_identifier and issue_id from nearby lines to confirm you are not mixing concurrent retries.

Always pair session findings with issue_identifier/issue_id to avoid mixing concurrent runs.

Notes

  • Prefer rg over grep for speed on large logs.
  • Check rotated logs (log/symphony.log*) before concluding data is missing.
  • If required context fields are missing in new log statements, align with elixir/docs/logging.md conventions.

Lebih banyak skill dari openai

user-context
openai
Memuat atau mengelola preferensi perutean sumber daya tahan lama, logika orientasi, kemajuan pengaturan, dan registri lapisan semantik dari plugin Data Analytics.
official
notion-research-documentation
openai
Teliti konten Notion dan sintesis menjadi ringkasan terstruktur, laporan, atau perbandingan dengan kutipan. Cari dan ambil halaman Notion menggunakan kueri yang ditargetkan, lalu atur temuan berdasarkan tema dengan kutipan sumber sebaris dan bagian referensi. Pilih dari empat format keluaran (ringkasan cepat, ringkasan riset, perbandingan, laporan komprehensif) berdasarkan cakupan dan tujuan pengguna. Buat dan perbarui halaman Notion menggunakan templat bawaan; tautkan sumber secara langsung dan lacak perubahan saat informasi baru tiba...
official
rcsb-pdb-skill
openai
Kirim permintaan RCSB PDB yang ringkas untuk metadata inti, kueri API Pencarian, dan unduhan FASTA. Gunakan saat pengguna menginginkan ringkasan RCSB yang singkat; simpan JSON mentah atau…
official
pdf
openai
Pembacaan, pembuatan, dan validasi PDF dengan rendering visual dan pembuatan secara terprogram. Render halaman PDF ke PNG untuk inspeksi visual tata letak, spasi, dan tipografi sebelum pengiriman menggunakan Poppler (pdftoppm). Buat PDF secara terprogram dengan reportlab untuk pemformatan yang andal; ekstrak teks dan metadata dengan pdfplumber atau pypdf. Terapkan standar kualitas: tidak ada teks terpotong, elemen tumpang tindih, tabel rusak, atau artefak rendering; hanya tanda hubung ASCII, kutipan yang dapat dibaca manusia. Gunakan...
official
test-coverage-improver
openai
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose…
official
playwright
openai
Otomasi peramban berbasis terminal dengan snapshot elemen dan alur kerja UI interaktif. Beroperasi melalui skrip wrapper playwright-cli (memerlukan npx); mendukung mode headless dan headed untuk debugging visual. Alur kerja inti: buka halaman, ambil snapshot untuk referensi elemen stabil, berinteraksi menggunakan ref, ambil snapshot ulang setelah navigasi atau perubahan DOM. Termasuk pengisian formulir, klik, pengetikan, manajemen multi-tab, tangkapan layar/PDF, dan perekaman jejak untuk debugging alur. Referensi elemen (misalnya e3, e15)...
official
ukb-topmed-phewas-skill
openai
Ambil ringkasan PheWAS UKB-TOPMed yang ringkas untuk varian tunggal dengan menerima masukan rsID, GRCh37, atau GRCh38 dan menyelesaikannya ke kueri GRCh38 yang diperlukan. Gunakan ketika...
official
code-review-context
openai
Konteks yang terlihat oleh model
official