fix: resolve dependency mismatch and Windows encoding issues (anthropics#319)

* fix: resolve dependency mismatch and Windows encoding issues

Fixes anthropics#316, anthropics#317, anthropics#318

This PR addresses three bugs affecting the development environment:

1. requirements.txt outdated dependencies (anthropics#316)
   - Updated anthropic version from 0.39.0 to 0.71.0 to match pyproject.toml
   - Added missing POSIX newline at end of file

2. Windows UTF-8 encoding failures in validate_notebooks.py (anthropics#317)
   - Added explicit encoding='utf-8' to file operations
   - Configured stdout/stderr to use UTF-8 on Windows
   - Fixes UnicodeDecodeError and UnicodeEncodeError on older Windows systems

3. Pre-commit hook environment mismatch (anthropics#318)
   - Changed validate-notebooks hook to use 'language: system'
   - Updated entry to use 'uv run python' for consistency with uv-based dependency management

Testing: All pre-commit hooks pass successfully

* refactor: remove redundant requirements.txt in
  favor of pyproject.toml

  Requirements.txt was causing sync issues with
  pyproject.toml.
  Since the project uses uv for dependency
  management, pyproject.toml
  and uv.lock are sufficient for managing
  dependencies.

Author: HamidOna

.pre-commit-config.yaml

@@ -12,7 +12,7 @@ repos:
     hooks:
       - id: validate-notebooks
         name: Validate notebook structure
-        entry: python scripts/validate_notebooks.py
-        language: python
+        entry: uv run python scripts/validate_notebooks.py
+        language: system
         files: '\.ipynb$'
         pass_filenames: true

requirements.txt

@@ -5,12 +5,17 @@
 import sys
 from pathlib import Path
 
+# Ensure UTF-8 output on Windows
+if sys.platform == "win32":
+    sys.stdout.reconfigure(encoding="utf-8")
+    sys.stderr.reconfigure(encoding="utf-8")
+
 
 def validate_notebook(path: Path) -> list:
     """Validate a single notebook."""
     issues = []
 
-    with open(path) as f:
+    with open(path, encoding="utf-8") as f:
         nb = json.load(f)
 
     # Check for empty cells