Package & distribution
- pyproject.toml: add integrations* to packages.find include so pip
install semantica[agno] ships the integration
context_store.py
- upsert_memory(): run NERExtractor after store() to index entities
into the ContextGraph
- delete_memory() / drop_table() / clear(): call AgentContext.forget()
to propagate deletions to vector/graph storage
- find_precedents(): pass limit parameter to find_precedents_advanced()
- retrieve(): pass limit as max_results to AgentContext.retrieve()
- add get_context_for_prompt() for automatic system-prompt injection
knowledge_graph.py
- __init__: wire graph_builder.graph_store = self._graph so build()
persists into the ContextGraph
- add internal AgentContext for vector retrieval (shared ContextGraph)
- search(): use AgentContext.retrieve() for vector similarity; keyword
scoring as fallback
- _ingest_text(): add paragraph-level chunking before NER/relation
extraction (parse → split → NER → relation extract → graph build)
- get_graph_context(): return structured subgraph with edge types via
ContextGraph.get_neighbors()
- load_urls(): validate scheme (http/https only) to prevent SSRF
decision_kit.py
- check_policy(): replace broken PolicyEngine.check_compliance() call
with inline _eval_rule() that evaluates simple field-op-value rules;
return compliant=False (not True) on failure — closes security bug
kg_toolkit.py
- add_to_graph(): fix add_node(node_id=, node_type=) and
add_edge(source_id=, target_id=, edge_type=) to match real API
- query_graph(): use find_nodes() (no label param) + keyword filter
- find_related(): use get_neighbors(node_id=) returning List[Dict]
- infer_facts() / export_subgraph(): use find_nodes() public API
instead of private _nodes dict
shared_context.py
- _AgentScopedStore: store shared context as self._context (not
self._ctx) so all inherited AgnoContextStore methods work correctly
tests/integrations/agno/test_kg_toolkit.py
- _FakeGraph: rewrite to match real ContextGraph signatures —
find_nodes(node_type=), add_node(node_id, node_type, **),
add_edge(source_id, target_id, edge_type, **),
get_neighbors(node_id, hops=1, ...) returning List[Dict]
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
