fix(tests): update 35 failing tests for v3 single-pass pipeline

Tests were written for the old two-pass extraction pipeline (extract
facts + merge with ADD/UPDATE/DELETE). V3 uses single-pass ADD-only
extraction with one LLM call returning {"memory": [...]}.

Changes by category:

Old pipeline tests (13 failures):
- Delete TestHallucinatedIdGuard entirely (tests UPDATE/DELETE ID
  resolution that no longer exists)
- Update error log assertions to match v3 log messages
- Change LLM mock from 2-call side_effect to 1-call return_value
- Update vllm thinking tag tests for single-call format

ensure_json_instruction removed (3):
- Delete source-inspection tests (function still exists in utils
  but is no longer called from _add_to_vector_store)

UTC timestamp normalization removed (2):
- Update expected timestamps to stored-as-is (no UTC conversion)
- Remove _normalize_iso_timestamp_to_utc import

_search_vector_store signature: top_k -> limit (2):
- Update test calls to use limit= parameter

Context manager + close/db removed (6):
- Delete tests for __enter__/__exit__/close/db that were removed

Vector store BM25 config (3):
- Qdrant: add sparse_vectors_config to create_col assertion,
  named vector format {"": vector} in update assertion
- MongoDB: assert_any_call for both vector + text search indexes

Misc (6):
- test_search_handles_incomplete_payloads: expect 1 result (v3
  filters entries without 'data' key)
- Embedding cache tests: update for embed_batch (1 call) vs
  individual embed (was 2 calls)
- Graph reset tests: delete (graph support removed)
- use_azure_credential: update expected sensitivity to True

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

tests/vector_stores/test_mongodb.py

@@ -42,9 +42,12 @@ def test_initalize_create_col(mongo_vector_fixture):
     mock_collection.insert_one.assert_called_once_with({"_id": 0, "placeholder": True})
     mock_collection.delete_one.assert_called_once_with({"_id": 0})
     assert mongo_vector.index_name == "test_collection_vector_index"
-    mock_collection.list_search_indexes.assert_called_once_with(name="test_collection_vector_index")
-    mock_collection.create_search_index.assert_called_once()
-    args, _ = mock_collection.create_search_index.call_args
+    mock_collection.list_search_indexes.assert_any_call(name="test_collection_vector_index")
+    mock_collection.list_search_indexes.assert_any_call(name="test_collection_text_search_index")
+    assert mock_collection.list_search_indexes.call_count == 2
+    # Two indexes created: vector search + text search
+    assert mock_collection.create_search_index.call_count == 2
+    args, _ = mock_collection.create_search_index.call_args_list[0]
     search_index_model = args[0].document
     assert search_index_model == {
         "name": "test_collection_vector_index",

tests/vector_stores/test_qdrant.py

@@ -4,7 +4,7 @@ import unittest
 import uuid
 from unittest.mock import MagicMock, patch
 
-from qdrant_client import QdrantClient
+from qdrant_client import QdrantClient, models
 from qdrant_client.models import (
     DatetimeRange,
     Distance,
@@ -18,6 +18,7 @@ from qdrant_client.models import (
     PointStruct,
     PointVectors,
     Range,
+    SparseVectorParams,
     VectorParams,
 )
 
@@ -59,8 +60,14 @@ class TestQdrant(unittest.TestCase):
 
         expected_config = VectorParams(size=128, distance=Distance.COSINE, on_disk=True)
 
+        expected_sparse_config = {
+            "bm25": SparseVectorParams(modifier=models.Modifier.IDF),
+        }
+
         self.client_mock.create_collection.assert_called_with(
-            collection_name="test_collection", vectors_config=expected_config
+            collection_name="test_collection",
+            vectors_config=expected_config,
+            sparse_vectors_config=expected_sparse_config,
         )
 
     def test_insert(self):
@@ -231,7 +238,9 @@ class TestQdrant(unittest.TestCase):
         self.client_mock.upsert.assert_called_once()
         point = self.client_mock.upsert.call_args[1]["points"][0]
         self.assertEqual(point.id, vector_id)
-        self.assertEqual(point.vector, updated_vector)
+        # v3 uses named vectors: dense vector stored under "" key
+        self.assertIn("", point.vector)
+        self.assertEqual(point.vector[""], updated_vector)
         self.assertEqual(point.payload, updated_payload)
 
     def test_update_with_none_vector_uses_set_payload(self):