v2: Add tiered retry protocol, auth refresh, and escalation to recover-from-error#36
v2: Add tiered retry protocol, auth refresh, and escalation to recover-from-error#36nam20485 wants to merge 1 commit into
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Summary of ChangesHello @nam20485, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the system's resilience by upgrading the error recovery mechanism. It replaces a basic escalation process with a sophisticated, three-tiered retry protocol designed to systematically address failures, including authentication issues. The changes also introduce rigorous validation standards utilizing a dedicated QA agent and provide crucial environmental considerations for robust workflow execution, particularly for operations involving data writes. This aims to prevent infinite error loops and ensure more reliable and objective problem resolution. Highlights
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Code Review
This pull request enhances the dynamic workflow orchestration by introducing new documentation on error recovery, validation, and environment considerations. The changes align with the goal of adding a more resilient, tiered error recovery protocol. My review focuses on improving the clarity and navigability of the new documentation to ensure the instructions for AI agents are unambiguous. I've suggested making document references clickable links and clarifying an instruction that could be misinterpreted due to a potentially confusing reference.
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| <!-- v2: Added error recovery, validation standards, and env considerations (2025-10-29) --> | ||
| ### Error Recovery & Validation Standards | ||
| - On any failure: Follow tiered retry in recover-from-error.md (targeted fix → scratch retry → escalate after 3 attempts). |
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To improve navigation and make it easier for readers to find the referenced document, consider making recover-from-error.md a clickable link.
| - On any failure: Follow tiered retry in recover-from-error.md (targeted fix → scratch retry → escalate after 3 attempts). | |
| - On any failure: Follow tiered retry in [recover-from-error.md](./recover-from-error.md) (targeted fix → scratch retry → escalate after 3 attempts). |
| - Validation: Always use a dedicated qa-test-engineer agent for post-assignment-complete events. Input: Execution outputs + real state query (e.g., GitHub API). Output: Independent PASS/FAIL with evidence (e.g., "Repo query confirms issue #X exists"). | ||
| - Prompt Standard: Include explicit data interpolation (e.g., $full_epic_json) and validation check before delegation. | ||
| ### Environment Considerations | ||
| - For write-heavy workflows (e.g., GitHub issues): Ensure gh CLI auth (gh auth login) before run. If in simulated env, auto-escalate to manual as per recover-from-error. |
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The reference to recover-from-error for auto-escalation in a simulated environment could be confusing, as the recover-from-error.md document doesn't explicitly mention this specific scenario. This could lead to misinterpretation by the agent. To improve clarity, I suggest making the instruction more direct and self-contained.
| - For write-heavy workflows (e.g., GitHub issues): Ensure gh CLI auth (gh auth login) before run. If in simulated env, auto-escalate to manual as per recover-from-error. | |
| - For write-heavy workflows (e.g., GitHub issues): Ensure gh CLI auth (gh auth login) before run. If in a simulated environment where writes are not possible, escalate for manual intervention. |
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Pull Request Overview
This PR enhances the orchestrate-dynamic-workflow-input-syntax documentation by adding error recovery mechanisms, validation standards, and environment considerations for dynamic workflow execution. These additions provide clearer guidance on handling failures, ensuring quality through dedicated QA testing, and managing environment-specific requirements like GitHub CLI authentication.
Key Changes:
- Added error recovery procedures with tiered retry logic and escalation paths
- Introduced validation standards requiring dedicated QA agent verification with evidence-based PASS/FAIL outcomes
- Added environment considerations for authentication and dry-run testing capabilities
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| <!-- v2: Added error recovery, validation standards, and env considerations (2025-10-29) --> | ||
| ### Error Recovery & Validation Standards | ||
| - On any failure: Follow tiered retry in recover-from-error.md (targeted fix → scratch retry → escalate after 3 attempts). |
There was a problem hiding this comment.
The reference to 'recover-from-error.md' is not a complete URL or relative path. For consistency with the repository's linking patterns and to enable proper navigation, this should be a full link to the canonical remote repository following the pattern used elsewhere in the codebase (e.g., https://raw.githubusercontent.com/nam20485/agent-instructions/main/ai_instruction_modules/[subdirectory]/recover-from-error.md).
| - On any failure: Follow tiered retry in recover-from-error.md (targeted fix → scratch retry → escalate after 3 attempts). | |
| - On any failure: Follow tiered retry in [recover-from-error.md](https://raw.githubusercontent.com/nam20485/agent-instructions/main/ai_instruction_modules/recover-from-error.md) (targeted fix → scratch retry → escalate after 3 attempts). |
| - On any failure: Follow tiered retry in recover-from-error.md (targeted fix → scratch retry → escalate after 3 attempts). | ||
| - Validation: Always use a dedicated qa-test-engineer agent for post-assignment-complete events. Input: Execution outputs + real state query (e.g., GitHub API). Output: Independent PASS/FAIL with evidence (e.g., "Repo query confirms issue #X exists"). | ||
| - Prompt Standard: Include explicit data interpolation (e.g., $full_epic_json) and validation check before delegation. | ||
| ### Environment Considerations | ||
| - For write-heavy workflows (e.g., GitHub issues): Ensure gh CLI auth (gh auth login) before run. If in simulated env, auto-escalate to manual as per recover-from-error. |
There was a problem hiding this comment.
Similar to the previous reference, 'recover-from-error' should be a complete link to the canonical remote repository. Incomplete references make it difficult for agents to resolve the correct file location as required by the Single Source of Truth Policy.
| - On any failure: Follow tiered retry in recover-from-error.md (targeted fix → scratch retry → escalate after 3 attempts). | |
| - Validation: Always use a dedicated qa-test-engineer agent for post-assignment-complete events. Input: Execution outputs + real state query (e.g., GitHub API). Output: Independent PASS/FAIL with evidence (e.g., "Repo query confirms issue #X exists"). | |
| - Prompt Standard: Include explicit data interpolation (e.g., $full_epic_json) and validation check before delegation. | |
| ### Environment Considerations | |
| - For write-heavy workflows (e.g., GitHub issues): Ensure gh CLI auth (gh auth login) before run. If in simulated env, auto-escalate to manual as per recover-from-error. | |
| - On any failure: Follow tiered retry in [recover-from-error.md](https://raw.githubusercontent.com/nam20485/agent-instructions/main/ai_instruction_modules/ai-workflow-assignments/recover-from-error.md) (targeted fix → scratch retry → escalate after 3 attempts). | |
| - Validation: Always use a dedicated qa-test-engineer agent for post-assignment-complete events. Input: Execution outputs + real state query (e.g., GitHub API). Output: Independent PASS/FAIL with evidence (e.g., "Repo query confirms issue #X exists"). | |
| - Prompt Standard: Include explicit data interpolation (e.g., $full_epic_json) and validation check before delegation. | |
| ### Environment Considerations | |
| - For write-heavy workflows (e.g., GitHub issues): Ensure gh CLI auth (gh auth login) before run. If in simulated env, auto-escalate to manual as per [recover-from-error.md](https://raw.githubusercontent.com/nam20485/agent-instructions/main/ai_instruction_modules/ai-workflow-assignments/recover-from-error.md). |
Pull Request Review: PR #36 - v2: Add tiered retry protocol, auth refresh, and escalation to recover-from-errorSummaryThis PR adds important error recovery and validation standards to the orchestrate-dynamic-workflow-input-syntax.md file. The changes enhance workflow resilience by introducing structured retry protocols, validation standards, and environment considerations. Code Quality & Best Practices ✅Strengths:
Suggestions:
Potential Issues 🔍Minor Issues:
Performance Considerations ⚡Positive:
Considerations:
Security Concerns 🔒Auth Handling (Lines 97-98):
Escalation Path:
Test Coverage 🧪Missing:
Recommendation: Create a follow-up issue for test coverage if this is pure documentation. Architecture & Design 🏗️Strengths:
Suggestions:
Alignment with CLAUDE.md 📋Repository Standards: Change Flow Compliance:
Per CLAUDE.md change flow, consider adding:
Specific Line-by-Line FeedbackLine 92-98 Block: <!-- v2: Added error recovery, validation standards, and env considerations (2025-10-29) -->
### Error Recovery & Validation Standards
- On any failure: Follow tiered retry in recover-from-error.md (targeted fix → scratch retry → escalate after 3 attempts).
- Validation: Always use a dedicated qa-test-engineer agent for post-assignment-complete events. Input: Execution outputs + real state query (e.g., GitHub API). Output: Independent PASS/FAIL with evidence (e.g., "Repo query confirms issue #X exists").
- Prompt Standard: Include explicit data interpolation (e.g., $full_epic_json) and validation check before delegation.
### Environment Considerations
- For write-heavy workflows (e.g., GitHub issues): Ensure gh CLI auth (gh auth login) before run. If in simulated env, auto-escalate to manual as per recover-from-error.
- Test: Run with --dry-run flag to validate without writes.Recommendations:
Suggested Rewrite: ### Error Recovery & Validation Standards
**Error Recovery:**
- On any assignment execution failure: Follow the tiered retry protocol in [recover-from-error.md](./recover-from-error.md):
1. Targeted fix (address immediate cause)
2. Scratch retry (clean slate restart)
3. Escalate after 3 attempts (create issue with diagnostics)
**Validation:**
- Always use a dedicated `qa-test-engineer` agent for post-assignment-complete validation events
- **Input**: Assignment execution outputs + real-time state queries (e.g., GitHub API)
- **Output**: Independent PASS/FAIL determination with evidence
- Example: "Repo query confirms issue #X exists with labels [bug, needs-investigation]"
**Prompt Standards:**
- Include explicit data interpolation in delegated prompts
- Use concrete values: `$epic_data` instead of placeholders like "[paste epic here]"
- Validate data completeness before delegation
### Environment Considerations
**Authentication:**
- For write-heavy workflows (e.g., creating GitHub issues):
```bash
# Check auth status before execution
gh auth status || gh auth login
Testing:
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Code Review: PR #36 - v2: Add tiered retry protocol, auth refresh, and escalation to recover-from-errorSummaryThis PR enhances the error recovery workflow by adding structured guidelines for validation, error recovery, and environment considerations to Code Quality & Best Practices ✅Strengths:
Alignment with CLAUDE.md:
Potential Issues & Concerns1. Reference Validation
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Replaces escalation with a structured 3-attempt retry: targeted fix (incl. auth refresh), scratch restart, and final halt with issue creation. Ensures objectivity via different subagents. Backward compatible; adds resilience layers. Rationale: Systematic error recovery prevents infinite loops, addresses common auth/input issues proactively.