* feat: enhance token limits with dynamic discovery + AST metadata
Improves upon upstream PR #154 with two major enhancements:
1. **Hybrid Token Limit Discovery**
- Dynamic: Query Ollama /api/show for context limits
- Fallback: Registry for LM Studio/OpenAI
- Zero maintenance for Ollama users
- Respects custom num_ctx settings
2. **AST Metadata Preservation**
- create_ast_chunks() returns dict format with metadata
- Preserves file_path, file_name, timestamps
- Includes astchunk metadata (line numbers, node counts)
- Fixes content extraction bug (checks "content" key)
- Enables --show-metadata flag
3. **Better Token Limits**
- nomic-embed-text: 2048 tokens (vs 512)
- nomic-embed-text-v1.5: 2048 tokens
- Added OpenAI models: 8192 tokens
4. **Comprehensive Tests**
- 11 tests for token truncation
- 545 new lines in test_astchunk_integration.py
- All metadata preservation tests passing
* fix: merge EMBEDDING_MODEL_LIMITS and remove redundant validation
- Merged upstream's model list with our corrected token limits
- Kept our corrected nomic-embed-text: 2048 (not 512)
- Removed post-chunking validation (redundant with embedding-time truncation)
- All tests passing except 2 pre-existing integration test failures
* style: apply ruff formatting and restore PR #154 version handling
- Remove duplicate truncate_to_token_limit and get_model_token_limit functions
- Restore version handling logic (model:latest -> model) from PR #154
- Restore partial matching fallback for model name variations
- Apply ruff formatting to all modified files
- All 11 token truncation tests passing
* style: sort imports alphabetically (pre-commit auto-fix)
* fix: show AST token limit warning only once per session
- Add module-level flag to track if warning shown
- Prevents spam when processing multiple files
- Add clarifying note that auto-truncation happens at embedding time
- Addresses issue where warning appeared for every code file
* enhance: add detailed logging for token truncation
- Track and report truncation statistics (count, tokens removed, max length)
- Show first 3 individual truncations with exact token counts
- Provide comprehensive summary when truncation occurs
- Use WARNING level for data loss visibility
- Silent (DEBUG level only) when no truncation needed
Replaces misleading "truncated where necessary" message that appeared
even when nothing was truncated.
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