Add CodeRabbit configuration for automated PR reviews

.coderabbit.yaml

@@ -0,0 +1,51 @@
+# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json
+language: "en"
+early_access: false
+enable_free_tier: true
+reviews:
+  request_changes_workflow: true
+  high_level_summary: true
+  high_level_summary_in_walkthrough: true # Only show high-level summary in walkthrough, not the PR description
+  poem: false
+  review_status: true
+  collapse_walkthrough: false
+  auto_apply_labels: true
+  path_filters:
+    - "!**/*.pyc"
+    - "!**/build/**"
+    - "!**/.pytest_cache/**"
+    - "!**/.ruff_cache/**"
+    - "!**/__pycache__/**"
+    - "!**/.lmeval_cache/**"
+  path_instructions:
+    - path: "**/*.py"
+      instructions: "Focus on code correctness, quantization algorithm implementation, numerical stability, and tensor operations. Check for major PEP 8 violations and Python best practices. Pay attention to GPU memory management and model loading patterns. Ignore trivial formatting issues."
+    - path: "tests/**/*.py"
+      instructions: "Ensure PyTest tests are clear, comprehensive, and cover edge cases for quantization scenarios. Verify proper mocking and test isolation. Don't focus on minor stylistic details."
+    - path: "examples/**/*.py"
+      instructions: "Review for clarity, correctness, and educational value. Ensure examples follow best practices and are runnable. Verify that comments and documentation are helpful for users learning the library."
+    - path: "src/llmcompressor/modifiers/**/*.py"
+      instructions: "Pay special attention to quantization modifier implementations. Verify algorithm correctness, proper handling of different quantization schemes (FP8, INT4, etc.), and compatibility with various model architectures."
+    - path: "docs/**/*.md"
+      instructions: "Check for clarity, accuracy, and completeness of documentation. Ensure code examples in docs are correct and align with current API."
+    - path: "**/README.md"
+      instructions: "Review for clarity, accuracy, and up-to-date information. Ensure installation instructions and examples are correct."
+  auto_review:
+    enabled: true
+    ignore_title_keywords:
+      - "WIP"
+      - "DO NOT MERGE"
+      - "DRAFT"
+    drafts: false
+    auto_incremental_review: false
+    base_branches:
+      - "main"
+knowledge_base:
+  linked_repositories:
+    - repository: "vllm-project/compressed-tensors"
+      instructions: "Contains compressed model checkpoint format and offloading utilities. Useful for understanding model loading, memory management strategies, available compression formats, the lifecycle for managing compression, and compressed checkpoint."
+chat:
+  auto_reply: true
+issue_enrichment:
+  auto_enrich:
+    enabled: true