ci: upgrade pr-reviewer-action to v1.2.3 (tool loop, carry-forward verdicts)#203
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…rdicts) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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AI Automated Review
Full PR review.
Analysis engine: review@https://litellm.jory.dev/v1 (openai)
Recommendation
Approved. This PR upgrades the pr-reviewer-action to v1.2.3, enabling advanced agentic features like multi-turn tool research and cumulative incremental verdicts.
Change-by-change findings
.github/workflows/ai-pr-review.yaml
- Upgrade Action Version: Updated
misospace/pr-reviewer-actionfrome891235e8e3e75824b88fb696b1f7b4816122737(v1.2.2) to59c7a0596b0d0b515ef9137f7acb985115f4c1d8(v1.2.3). - Smart Model Configuration: Changed
ai_smart_api_formatandai_smart_modelto use direct variable mapping (${{ vars.SMART_FORMAT }}and${{ vars.SMART_MODEL }}) instead of providing fallbacks. This aligns with the release notes stating that these values are explicitly set at the organization level. - Tool Mode Update: Changed
tool_modefromplan_execute_oncetoplan_execute_loopand addedtool_max_rounds: "2". This enables the model to perform multi-turn research (e.g., reading a file and then grepping for its callers) within a 2-round budget.
Standards Compliance
- Version Convention: The PR follows the repository's implicit pattern of using specific SHAs for action versions to ensure deterministic CI runs.
- Workflow Integrity: The changes to the AI reviewer workflow are consistent with the goal of improving the automated review process as described in the release notes.
Linked Issue Fit
- N/A (No linked issues provided).
Evidence Provider Findings
- N/A
Tool Harness Findings
- N/A
Unknowns or Needs Verification
- None identified.
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Upgrades to pr-reviewer-action v1.2.3.
What this brings
tool_mode: plan_execute_loopwithtool_max_rounds: "2": the model can now react to what its evidence tools returned and request follow-ups (read the changed file → grep for its callers). The 4-request budget is now shared across rounds; each extra round costs one additional planning call against the review endpoint.ai_smart_model/ai_smart_api_formatnow readvars.SMART_MODEL/vars.SMART_FORMATdirectly (both are explicitly set at the org level), instead of coalescing to the fallback vars.🤖 Generated with Claude Code