- Replace EmbeddingGemma local model with OpenRouter API integration
- Use google/gemini-embedding-001 model via OpenRouter (3072 dimensions)
- Add conditional tool registration: auto-disable if OPENROUTER_API_KEY not set
- Add openai and numpy dependencies to pyproject.toml
- Update .env.example with OPENROUTER_API_KEY configuration
- Fix ruff lint issues in semantic_search module
Reverse engineered the AES-256-CBC encryption used by KİK's Angular web
application to generate document URL hashes from numeric IDs.
Key findings:
- Algorithm: AES-256-CBC with PKCS7 padding
- Key location: ekapv2.kik.gov.tr module 21554 (environment config)
- Output format: IV (16 bytes hex) + Ciphertext (16 bytes hex) = 64 chars
Changes:
- Added encrypt_document_id() static method to KikV2ApiClient
- Updated get_document_markdown() to auto-encrypt numeric gundemMaddesiId
- Added cryptography>=44.0.0 dependency for AES encryption
- Both primary and fallback URL paths now support encryption
This enables direct document retrieval from numeric search result IDs
without requiring the pre-encrypted hash from the web interface.
- Add comprehensive KİK v2 MCP implementation
- Support for all three decision types: uyusmazlik, duzenleyici, mahkeme
- Tested with 826 total decisions across all types
- SSL legacy server support for compatibility
- Hash analysis and document ID encryption research completed
- Update pyproject.toml with PyPI metadata
- Add GitHub Actions workflow for automated publishing
- Bump version to 0.1.1
- Add proper classifiers and keywords for PyPI
- Configure build system with setuptools
saidsurucu