- Fix: Handle stringified JSON in get_lineage metadata aggregation to prevent ValueError.
- Fix: Auto-detect and link source as parent_entity_id in rack_entity to ensure cross-module lineage continuity.
- Verified: est_cross_module_lineage passed.
- Fix: Provide versioned source history in ProvenanceManager.track_entity to support correct get_all_sources behavior.
- Fix: Ensure get_lineage aggregates and returns metadata fields correctly.
- Fix: Update est_real_module_integration.py and est_semantic_extract_provenance.py to match correct rack_relationship API signature.
- Verified: All provenance tests passed (237/237).
- Created integrations/ folder at repository root for optional framework integrations
- Moved integrations folder from semantica/integrations/ to root-level integrations/
- Added __init__.py with documentation for future integrations (Google ADK, Claude Agent SDK, Agno)
- Keeps core semantica package lean while enabling ecosystem integrations
- Each integration will be self-contained and installable via extras_require
- Updated README.md with new logo reference
- Updated docs/index.md with new logo reference
- Updated docs/DOCS_README.md documentation
- Added new clean, professional logo (Semantica Updated Logo.png)
- Removed old illustrated logo (semantica_logo.png)
The new logo is minimal, scales well, and better represents Semantica as an enterprise-grade semantic layer.
Verify that temperature parameter is omitted from API calls when None,
allowing models to use their defaults. Tests cover OpenAI, Groq, Gemini,
Ollama, and DeepSeek providers.
- Implemented provenance tracking across all 17 Semantica modules
- Added W3C PROV-O compliant schemas (prov:Entity, prov:Activity, prov:Agent, prov:wasDerivedFrom)
- Created ProvenanceManager with InMemory and SQLite storage backends
- Implemented SHA-256 integrity verification for tamper detection
- Added bridge axiom support for domain transformations (L1→L2→L3)
- Created provenance-enabled versions of all modules (opt-in with provenance=True)
- Added comprehensive test suite (237 tests covering edge cases and real scenarios)
- Updated README with accurate claims and compliance disclaimers
- Added complete documentation (usage guide and API reference)
- Zero breaking changes - fully backward compatible
Models like gpt-5-mini only support specific temperature values.
This change allows temperature=None to mean "use model's default"
by omitting the parameter from API calls entirely.
Changes:
- Add _add_if_set helper to BaseProvider for cleaner param handling
- Update all providers to conditionally include temperature
- Remove hardcoded temperature defaults from entry points
- Keep 0.7 default for HuggingFace (local models)
- Keep 0.1 fallback for generate_typed (structured output)
KaifAhmad1