runtime-evidence-and-tracing

name: runtime-evidence-and-tracing description: Use when connecting observed behavior, logs, metrics, request IDs, run IDs, screenshots, traces, external dependency results, or artifacts into a runtime evidence loop.

Runtime Evidence And Tracing

Overview

Make runtime validation auditable by tying observed behavior to runtime evidence through stable IDs and artifacts.

Agents should not only say they tested something; they should leave run IDs, request IDs, logs, screenshots, interaction records, or traces. For shared harness terms, see ../../references/harness-patterns.md; when evidence surfaces are absent, use references/build-when-missing.md. For neutral runtime profiles and redaction policy, see references/runtime-profile-policy.md.

When To Use

• The user asks to connect, diagnose, or design interactive validation, runtime validation, request IDs, traces, logs, metrics, or artifacts.
• A production or test-environment issue must be traced from observed behavior to runtime evidence.
• A flow with external dependencies needs classification as code failure, dependency blocker, environment issue, or data problem.

Inputs Needed

• Target flow, entry action, command, or interface.
• Existing logging, request wrapper, headers, and observability endpoints.
• Artifact directory and run ID naming preference.

Execution Order

• First: Find the request entrypoint and existing request/log/trace propagation points.
• Then: Design run IDs, request IDs, artifact bundles, and collection commands.
• Finally: Output the evidence contract and validation path, including fallback and blocker classification.

Step-by-Step Process

1. Search request wrappers, service entrypoints, logs, metrics, and trace scripts.
2. Confirm whether the calling surface can generate or propagate X-Request-ID and X-Harness-Run-ID.
3. If no evidence contract exists, bootstrap the minimum run artifact contract from references/build-when-missing.md.
4. Design artifacts/runs/<run_id>/ with manifest, summary, logs, network, screenshots, and trace files.
5. Define the collection order for the target flow: start, authenticate if needed, operate, wait, read artifacts, and attribute the result.
6. Define blocker categories: code regression, environment unavailable, external dependency unavailable, data missing, and not evaluable.
7. Explain how PRs or ledgers should reference artifacts without committing large temporary files.

Checks

• Propagation: request ID and run ID remain searchable across caller, service, job, and external dependency evidence.
• Artifact: the directory includes manifest, summary, and reproducible commands.
• Evidence: screenshots, console, network, logs, and metrics cover the failure boundary.
• Attribution: external dependency or environment blockers are not reported as product-quality failures.
• Privacy: artifacts do not contain tokens, phone numbers, real secrets, or sensitive payloads.

Output Format

# Runtime Evidence And Tracing

## Detected Mapping
- runtime-evidence:
- validation:
- ledger:

## ID Contract
- Run ID:
- Request ID:
- Header propagation:

## Artifact Bundle
-

## Collection Flow
1.
2.
3.

## Failure Classification
-

## PR / Ledger Reference
-

Common Mistakes

• Keeping only screenshots with no request ID or runtime evidence.
• Creating traces only in one layer, leaving observed failures disconnected.
• Treating external account or quota issues as product-quality failures.
• Committing large artifacts instead of referencing paths and summaries.

Example Prompts

• "Connect interactive validation to request IDs."
• "Design artifacts/runs evidence for this runtime workflow."
• "How should this failure be classified: code, environment, or external blocker?"