testing: coderabbit

[Hellebore]

Summary by CodeRabbit

• Chores
  • Updated configuration files to improve code coverage reporting and instrumentation setup.
  • Added a new dependency for code coverage instrumentation.
  • Refined test coverage collection to focus on TypeScript files.
  • Updated and cleaned up generated code coverage reports, including timestamp updates and minor formatting adjustments.

[Hellebore]

This is a benchmark review for experiment bakeoff.
Run ID: bakeoff/benchmark_2025-05-02T10-26-46_v1-36-0-dirty.

This pull request was cloned from https://github.com/neerajkumar161/node-coveralls-integration/pull/5. (Note: the URL is not a link to avoid triggering a notification on the original pull request.)

Experiment configuration

review_config:
  # User configuration for the review
  # - benchmark - use the user config from the benchmark reviews
  # - <value> - use the value directly
  user_review_config:
    enable_ai_review: true
    enable_rule_comments: false

    enable_complexity_comments: benchmark
    enable_security_comments: benchmark
    enable_tests_comments: benchmark
    enable_comment_suggestions: benchmark

    enable_pull_request_summary: benchmark
    enable_review_guide: benchmark

    enable_approvals: true
    base_branches: [base-sha.*]

  ai_review_config:
    # The model responses to use for the experiment
    # - benchmark - use the model responses from the benchmark reviews
    # - llm - call the language model to generate responses
    model_responses:
      comments_model: benchmark
      comment_validation_model: benchmark
      comment_suggestion_model: benchmark
      complexity_model: benchmark
      security_model: benchmark
      tests_model: benchmark
      pull_request_summary_model: benchmark
      review_guide_model: benchmark
      overall_comments_model: benchmark

# The pull request dataset to run the experiment on
pull_request_dataset:
- https://github.com/neerajkumar161/node-coveralls-integration/pull/5

# Questions to ask to label the review comments
review_comment_labels: []
# - label: correct
#   question: Is this comment correct?

# Benchmark reviews generated by running
#   python -m scripts.experiment benchmark <experiment_name>
benchmark_reviews: []