v0.11.0 - CI/CD integration + unified explainable scoring

LogLens AI now runs inside your CI/CD pipeline - analyze build/test logs, get a
machine-readable report, and fail the build on real incidents. Plus every mode
now scores on one scale and explains why each anomaly was flagged.

🚀 CI/CD integration

• GitHub Action - drop LogLens into any workflow:

  - uses: LoglensAI/LogLens-AI@v0.11.0
    with:
      source: build.log
      fail-on: error        # critical | error | warning | fatal | any

Posts an incident table to the job summary, adds inline annotations, and
gates the build via exit code.

• --format json - clean, machine-readable output for any CI system.
• --fail-on <level> - non-zero exit (code 2) when an anomaly is that severity
  or worse, so a bad log fails the pipeline.

🔍 Smarter, explainable detection

• Unified scoring across fast / turbo / deep - one 0–1 scale, one reason
  vocabulary. Turbo now explains itself (previously gave no reasons).
• ↳ why: on every anomaly by default - severity, rarity, keywords, bursts.
• Mode labels - each run shows the signals it used (and supervised vs. unsupervised),
  so results are comparable across modes.
• Rankable incidents - the most severe levels are de-saturated (always flagged,
  but scored by evidence) instead of all tying at 1.0.
• Live progress on previously silent phases - no more "is it stuck?".

🐛 Fixes

• Consistent line-count reporting between modes (read → parsed).
• Documented why turbo and default modes can differ (supervised vs. unsupervised).
• loglens … | head no longer prints a BrokenPipeError.

📦 Install

pip install --upgrade loglensai        # 0.11.0
docker pull loglensai/loglens:0.10.0

Full docs: see docs/DOCUMENTATION.md · Benchmarks: docs/BENCHMARKS.md