Release v1.6.2: Vertex AI Billing Labels, Network & API Retries, Commit Status De-duplication · derailed-dash/gemini-review-action

🌟 What's New in v1.6.2

Cost Attribution in GCP Billing: Automatically attaches Google Cloud Billing request labels (component: gemini-review-action, repo: <owner_repo>) on Vertex AI runs so that review costs can be grouped and analysed directly in GCP Cloud Billing exports (#38 by @SaschaHeyer).
Customisable Labels: Supports custom key-value pairs via the billing_labels input (GEMINI_BILLING_LABELS="team=platform,cost_centre=dev"), automatically sanitising keys and values to comply with GCP label regex and length requirements.

Transient API Retry Logic: Introduces post_with_retry to automatically retry review submissions on transient GitHub API hiccups (HTTP 5xx server errors and 429 rate limits) with tight exponential backoff (1s, 3s) (#36 by @SaschaHeyer).
Network Exception Handling: Catches connection resets and socket timeouts (requests.exceptions.RequestException), ensuring momentary network flaps do not drop reviews or waste token spend.
Fast Failure on Client Errors: Fails fast on permanent client errors (403, 422) without pointless retries.

Eliminate Duplicate Status Checks: Suppresses redundant Commit Status API calls during standard pull_request workflow runs where GitHub Actions already tracks and reports check runs natively (#44).
Clean Retry Checks: Preserves explicit commit status updates for manual slash-command re-runs (/gemini-review on issue_comment events) so that PR checkmarks update cleanly on retry.
Dynamic Workflow Context: Dynamically derives commit status context names from GITHUB_WORKFLOW.

Zero-Rate Cache Reads: Accurately honours cache_read = 0.0 for providers with free cache reads rather than falling back to default multipliers (#37 by @SaschaHeyer).
Refined Storage Caveats: Improves context-cache storage caveats for token-based cache pricing models like Gemini 3.7 Flash.

Usage Telemetry Badge: Added workflow and endpoint badge tracking public action usage and active consumer count (#39).
Security Guidance: Recommends full commit SHA pinning and adds caveats regarding workflow-level concurrency cancellation (#41 by @SaschaHeyer).

v1.6.1: Cost Estimation Telemetry & Fork PR Security

Dollar Cost Reporting: Automatically calculates and reports estimated review costs directly in the tokenomics summary table based on official published rates, cached input discounts, and time-boxed promotional pricing.
Fork PR Workflow Security: Skips automatic pull_request triggers from external forks where secrets are inaccessible, routing maintainers to trigger reviews securely via /gemini-review.
No Silent Drops: Verifies that GitHub accepted review payloads and fails loudly in CI if delivery fails completely.

v1.6.0: Dynamic Context Selection in Sparse Mode

AI-Powered Dynamic Context Selection: When repository size exceeds the sparse threshold (1.5 MB), Gemini dynamically evaluates candidate repository files and selects up to 8 of the most relevant modules (callers, dependencies, tests, utilities) to include in full context.
Core Safeguard Budget: Guaranteed inclusion of core config and documentation files (README.md, pyproject.toml, package.json, etc.).

v1.5.2: Default Model Upgrade to Gemini 3.7 Flash

v1.5.1: Code Suggestion Sanitisation & Auto-Indentation

Sanitised inline code suggestion formatting by stripping outer fences, line-number prefixes, and auto-aligning indentation to match target code nesting.

v1.5.0: Multi-Axis Code Quality Review Directives

Enhanced review prompt directives with senior engineering evaluation standards, constructive structural remedies, and refined dependency discipline.

v1.4.5: Line Range Accuracy & Discussion Tracking

Multi-line suggestion targeting, automatic PR comment history and conversation thread tracking, and suppression of redundant re-reviews on inline fixes.

Full Changelog: v1.6.1...v1.6.2