SkillSpector v2.9.1

Released: 2026-08-10

Summary

This patch release improves resilience to transient LLM-provider connection failures during analysis. It uses bounded retries and records clearer batch-failure reasons when retries cannot recover.

Highlights

• Adds bounded retries for transient LLM provider connection failures while preserving per-batch failure reporting.

Added

• The inspection ledger distinguishes malformed structured LLM responses from exhausted connection retries.

Changed

• Supported OpenAI and Anthropic clients use a common bounded native retry budget, while other providers receive the same bounded fallback retry schedule when applicable.

Fixed

• Transient LLM connection failures no longer terminate a batch before the configured retry budget is exhausted.

Security

• None.

Breaking Changes and Migration

• None.

Deprecations

• None.

Validation

• uv run --locked --extra dev pytest tests/nodes/test_llm_analyzer_base.py tests/nodes/test_meta_analyzer.py — passed.
• GitLab main pipeline 61992428 — passed.
• git diff --check release/2.9.0..68c7a026d4b2d574b63019ceacd8fe8d7caa35db — passed.

Known Limitations

• Retries are limited to transient LLM provider connection errors; other provider errors fail immediately.

References

• CHANGELOG.md