debug

par openai

Enquêter sur les exécutions bloquées et les échecs d'exécution en traçant les journaux Symphony et Codex avec des identifiants de problème/session ; à utiliser lorsque les exécutions calent, réessayent à plusieurs reprises ou échouent…

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.

Plus de skills de openai

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…
release
openai
Créez une version Symphony en incrémentant la version validée, en la fusionnant, en taguant le commit fusionné et en vérifiant le workflow de publication Burrito. Utilisez lorsque l'on vous demande de…
ukb-topmed-phewas-skill
openai
Récupérez des résumés compacts UKB-TOPMed PheWAS pour des variants uniques en acceptant une entrée rsID, GRCh37 ou GRCh38 et en résolvant la requête GRCh38 nécessaire. Utilisez lorsque…
pull
openai
Tirer le dernier origin/main dans la branche locale actuelle et résoudre les conflits de fusion (alias update-branch). À utiliser lorsque Codex doit synchroniser une branche de fonctionnalité avec…
code-review-context
openai
Contexte visible du modèle
push
openai
Pousser les modifications de la branche courante vers origin et créer ou mettre à jour la pull request correspondante ; à utiliser lorsqu'on demande de pousser, de publier des mises à jour ou de créer une pull request.
signing-entitlements
openai
Inspectez les problèmes de signature, d’entitlements, de runtime renforcé et de Gatekeeper pour les applications macOS. Utilisez lorsque l’on vous demande de diagnostiquer des échecs de signature de code, des entitlements manquants,…
swiftui-view-refactor
openai
Refactoriser et examiner les fichiers de vue SwiftUI avec des valeurs par défaut solides pour les sous-vues dédiées de petite taille, le flux de données MV plutôt que MVVM, des arbres de vues stables, une dépendance explicite…