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dag-replay-debugger

Debugs recorded DAG lineage through historical inspection, deterministic decision replay when prerequisites hold, and clearly labeled counterfactual or live re-execution. Activate on "debug DAG", "replay execution", "inspect node state", "compare runs", or "execution diff". NOT for live monitoring (use dag-runtime + websocket-streaming), failure analysis (use dag-ops), or general code debugging.

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  • SKILL.md6.2 KB
  • references/replay-manifest-and-content-addressed-artifacts.md1.8 KB

SKILL.md(原文)

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DAG Replay Debugger

Debug recorded DAG lineage without claiming time travel or unrestricted access to private model reasoning. Use Replay Manifest and Content-Addressed Artifacts: deterministic reconstruction, counterfactual testing, and live re-execution have different evidence and effect boundaries.


When to Use

✅ Use for:

  • Post-mortem analysis of failed or low-quality DAG executions
  • Inspecting exactly what a node received and produced
  • Replaying from a checkpoint with modified inputs or skills
  • Comparing two execution traces to find where they diverged
  • Forming and testing diagnosis hypotheses from recorded decision evidence

❌ NOT for:

  • Live monitoring of running DAGs (use websocket-streaming)
  • Automated failure recovery (use dag-mutation-strategist)
  • Profiling cost/performance (use dag-ops)

Core Capabilities

1. State Inspection

Inspect only retention/authority-permitted records: run and graph revision, ordered event IDs, allowed input/output artifact digests, model/tool/config IDs, effect receipts, redaction status, and evaluator/acceptance evidence. A missing record remains missing; do not substitute chain-of-thought or hidden context.

flowchart LR
    A[Run lineage] --> B[Permitted manifest fields]
    B --> C[Redaction and retention check]
    C --> D[Historical inspection]
    C --> E[Eligible replay mode]

2. Replay from Checkpoint

Choose one mode explicitly:

  • Historical inspection reads recorded evidence only.
  • Deterministic decision replay uses the exact history, compatible code/configuration, and recorded activity/tool results; it must suppress new effects and consume the recorded results. A substitute mock requires an explicitly justified equivalence claim; arbitrary mock responses create a different experiment.
  • Counterfactual branch changes an input, skill, or model and gets a new lineage ID; it is not the historical replay.
  • Live re-execution calls a live model/tool and is nondeterministic unless its backend proves otherwise; effects require separate authority.
flowchart TD
  A[Select permitted recorded lineage] --> M{Intended mode?}
  M -->|Read only| I[Historical inspection]
  M -->|Reconstruct historical decisions| B{Exact history and compatible deterministic decision code?}
  B -->|Yes| C[Consume recorded activity results and suppress new effects]
  B -->|No| F[Report missing prerequisites; inspect available history]
  M -->|Change input, skill, model or activity| E[Counterfactual branch with new lineage]
  M -->|Call live services| L[New run with separate authority and effect policy]
  C --> G[Compare decisions and artifact digests]
  E --> H[Evaluate as a new experiment]
  L --> H

3. Execution Diff

Compare two traces side-by-side:

FieldHistorical lineageCounterfactual lineage
Nodeanalyze-codebaseanalyze-codebase
Model configurationrecorded configuration Achanged configuration B
Output artifactthree recorded recommendationstwo recorded recommendations
Acceptance receiptaccepted under its historical contractrejected under the counterfactual contract
Cost record$0.028 (illustrative)$0.001 (illustrative)

This is a constructed comparison. It can show a documented output difference, but it does not establish why the difference occurred or that one routing decision is universally correct.

flowchart LR
  H[Historical lineage: configuration A] --> HA[Three recommendations, historically accepted]
  C[New counterfactual lineage: configuration B] --> CA[Two recommendations, rejected under its contract]
  HA --> D[Compare artifact, contract and cost records]
  CA --> D
  D --> L[Record differences without inferring a unique cause]

4. Decision evidence

Use visible prompts, tool calls, outputs, policy/configuration IDs, and evaluator receipts that the retention policy permits. These records support diagnosis hypotheses; they do not expose private reasoning or prove a unique cause of an output.


Debugging Workflow

flowchart TD
  P[Unexpected artifact or acceptance result] --> I[Collect permitted lineage and effect receipts]
  I --> S[State competing input, contract, tool, and configuration hypotheses]
  S --> Q{Exact deterministic replay prerequisites hold?}
  Q -->|Yes| R[Reconstruct decisions using recorded activity results]
  Q -->|No| C[Propose counterfactual branch or live re-execution]
  R --> E[Compare evidence without overwriting historical lineage]
  C --> E
  E --> F[Update diagnosis or escalate unknowns]

Anti-Patterns

Debugging Without Traces

Wrong: Trying to figure out what went wrong without execution traces. Right: Retain the minimum authorized manifest fields, redaction state, artifact digests, configuration IDs, and effect receipts. Debug from permitted evidence, not guesses.

Replaying the Whole DAG

Wrong: Re-running an unbounded graph and calling the result the original replay. Right: Use a checkpoint only when its lineage, inputs, compatibility, and effects are valid; otherwise make a new counterfactual/re-execution lineage.

Claiming hidden reasoning access

Wrong: Treating private reasoning as required debug data or as proof of why an output occurred. Right: Use retention-permitted observable evidence and label causal conclusions as hypotheses unless a controlled test supports them.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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