From 22ecffabd9a307435d5667977d2b381d0e4f8a95 Mon Sep 17 00:00:00 2001 From: iamzimozic Date: Thu, 9 Oct 2025 18:26:23 +0000 Subject: [PATCH 1/7] fix --- .../llama_index/core/base/llms/types.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/llama-index-core/llama_index/core/base/llms/types.py b/llama-index-core/llama_index/core/base/llms/types.py index 479f4c0df3..9482cfe8ae 100644 --- a/llama-index-core/llama_index/core/base/llms/types.py +++ b/llama-index-core/llama_index/core/base/llms/types.py @@ -36,6 +36,16 @@ from llama_index.core.schema import ImageDocument from llama_index.core.utils import resolve_binary +GOOGLE_FUNCTION_CALL_AVAILABLE = False +try: + from google.ai.generativelanguage_v1beta.types.content import FunctionCall + + GOOGLE_FUNCTION_CALL_AVAILABLE = True +except ImportError: + + class FunctionCall: + pass + class MessageRole(str, Enum): """Message role.""" @@ -548,6 +558,9 @@ def from_str( return cls(role=role, blocks=[TextBlock(text=content)], **kwargs) def _recursive_serialization(self, value: Any) -> Any: + if GOOGLE_FUNCTION_CALL_AVAILABLE and isinstance(value, FunctionCall): + return value.to_dict() + if isinstance(value, BaseModel): value.model_rebuild() # ensures all fields are initialized and serializable return value.model_dump() # type: ignore From a0002548bd754ca384c4a94bb0c8d6ecd3396e56 Mon Sep 17 00:00:00 2001 From: iamzimozic Date: Thu, 9 Oct 2025 19:59:03 +0000 Subject: [PATCH 2/7] fix --- .../llama_index/core/base/llms/types.py | 20 ++++++++++++++++--- 1 file changed, 17 insertions(+), 3 deletions(-) diff --git a/llama-index-core/llama_index/core/base/llms/types.py b/llama-index-core/llama_index/core/base/llms/types.py index 9482cfe8ae..b8c2c6fab6 100644 --- a/llama-index-core/llama_index/core/base/llms/types.py +++ b/llama-index-core/llama_index/core/base/llms/types.py @@ -558,9 +558,6 @@ def from_str( return cls(role=role, blocks=[TextBlock(text=content)], **kwargs) def _recursive_serialization(self, value: Any) -> Any: - if GOOGLE_FUNCTION_CALL_AVAILABLE and isinstance(value, FunctionCall): - return value.to_dict() - if isinstance(value, BaseModel): value.model_rebuild() # ensures all fields are initialized and serializable return value.model_dump() # type: ignore @@ -579,6 +576,23 @@ def _recursive_serialization(self, value: Any) -> Any: @field_serializer("additional_kwargs", check_fields=False) def serialize_additional_kwargs(self, value: Any, _info: Any) -> Any: + if GOOGLE_FUNCTION_CALL_AVAILABLE and isinstance(value, dict): + original_tool_calls = value.get("tool_calls") + if isinstance(original_tool_calls, list): + # Create a new list that is guaranteed to be serializable + serializable_tool_calls = [] + for tc in original_tool_calls: + # If we find a FunctionCall object, convert it to a dict + if isinstance(tc, FunctionCall): + serializable_tool_calls.append(tc.to_dict()) + else: + # Otherwise, append the item as is + serializable_tool_calls.append(tc) + + # Update the dictionary with the sanitized list of tool calls + value["tool_calls"] = serializable_tool_calls + + # Now, safely serialize the entire dictionary return self._recursive_serialization(value) From 959d6c995421318f3d7b256235a633c6b4369b2c Mon Sep 17 00:00:00 2001 From: iamzimozic Date: Thu, 9 Oct 2025 20:10:18 +0000 Subject: [PATCH 3/7] fix --- .../core/base/llms/test_llm_types.py | 83 +++++++++++++++++++ 1 file changed, 83 insertions(+) create mode 100644 llama-index-core/llama_index/core/base/llms/test_llm_types.py diff --git a/llama-index-core/llama_index/core/base/llms/test_llm_types.py b/llama-index-core/llama_index/core/base/llms/test_llm_types.py new file mode 100644 index 0000000000..25c808f63f --- /dev/null +++ b/llama-index-core/llama_index/core/base/llms/test_llm_types.py @@ -0,0 +1,83 @@ +import json +import base64 +import pytest + +# Use a relative import to refer to the local types.py file +from . import types + +# --- Mock Object --- +class MockGoogleFunctionCall: + """A mock object that mimics the structure of Google's FunctionCall.""" + + def __init__(self, name: str, args: dict): + self.name = name + self.args = args + + def to_dict(self) -> dict: + """The method our serializer fix relies on.""" + return {"name": self.name, "args": self.args} + + def __repr__(self) -> str: + return f"" + + +# --- Test Cases --- + +def test_chat_message_with_google_function_call_serialization(monkeypatch): + """ + Tests if a ChatMessage containing a mock Google FunctionCall object + can be successfully serialized to JSON. + """ + # 1. Arrange + monkeypatch.setattr(types, "GOOGLE_FUNCTION_CALL_AVAILABLE", True) + monkeypatch.setattr(types, "FunctionCall", MockGoogleFunctionCall) + + function_call_object = MockGoogleFunctionCall( + name="get_current_weather", + args={"location": "Boston, MA"}, + ) + message = types.ChatMessage( + role=types.MessageRole.ASSISTANT, + additional_kwargs={"tool_calls": [function_call_object]}, + ) + + # 2. Act + serialized_json = message.model_dump_json() + + # 3. Assert + deserialized_data = json.loads(serialized_json) + tool_calls = deserialized_data["additional_kwargs"]["tool_calls"] + assert tool_calls[0]["name"] == "get_current_weather" + +def test_chat_message_str_method(): + """Tests the string representation of a ChatMessage.""" + message = types.ChatMessage(role="user", content="Hello, world!") + assert str(message) == "user: Hello, world!" + +def test_chat_message_from_str(): + """Tests creating a ChatMessage using the from_str factory method.""" + # Test with default role + message_user = types.ChatMessage.from_str("This is a test.") + assert message_user.role == types.MessageRole.USER + assert message_user.content == "This is a test." + + # Test with a specified string role + message_asst = types.ChatMessage.from_str("I can help.", role="assistant") + assert message_asst.role == types.MessageRole.ASSISTANT + assert message_asst.content == "I can help." + +def test_serialization_of_bytes_in_kwargs(): + """Tests if raw bytes in additional_kwargs are correctly base64 encoded.""" + raw_bytes = b"some binary data" + message = types.ChatMessage( + role="user", + additional_kwargs={"data": raw_bytes} + ) + + # Act + serialized_json = message.model_dump_json() + deserialized_data = json.loads(serialized_json) + + # Assert + expected_b64_string = base64.b64encode(raw_bytes).decode("utf-8") + assert deserialized_data["additional_kwargs"]["data"] == expected_b64_string \ No newline at end of file From 70c443417b6370e309695e290c5230e0419655c7 Mon Sep 17 00:00:00 2001 From: iamzimozic Date: Fri, 10 Oct 2025 08:49:59 +0000 Subject: [PATCH 4/7] fix --- .../core/base/llms/test_llm_types.py | 83 ------------------- .../llama_index/core/base/llms/types.py | 37 +-------- 2 files changed, 4 insertions(+), 116 deletions(-) delete mode 100644 llama-index-core/llama_index/core/base/llms/test_llm_types.py diff --git a/llama-index-core/llama_index/core/base/llms/test_llm_types.py b/llama-index-core/llama_index/core/base/llms/test_llm_types.py deleted file mode 100644 index 25c808f63f..0000000000 --- a/llama-index-core/llama_index/core/base/llms/test_llm_types.py +++ /dev/null @@ -1,83 +0,0 @@ -import json -import base64 -import pytest - -# Use a relative import to refer to the local types.py file -from . import types - -# --- Mock Object --- -class MockGoogleFunctionCall: - """A mock object that mimics the structure of Google's FunctionCall.""" - - def __init__(self, name: str, args: dict): - self.name = name - self.args = args - - def to_dict(self) -> dict: - """The method our serializer fix relies on.""" - return {"name": self.name, "args": self.args} - - def __repr__(self) -> str: - return f"" - - -# --- Test Cases --- - -def test_chat_message_with_google_function_call_serialization(monkeypatch): - """ - Tests if a ChatMessage containing a mock Google FunctionCall object - can be successfully serialized to JSON. - """ - # 1. Arrange - monkeypatch.setattr(types, "GOOGLE_FUNCTION_CALL_AVAILABLE", True) - monkeypatch.setattr(types, "FunctionCall", MockGoogleFunctionCall) - - function_call_object = MockGoogleFunctionCall( - name="get_current_weather", - args={"location": "Boston, MA"}, - ) - message = types.ChatMessage( - role=types.MessageRole.ASSISTANT, - additional_kwargs={"tool_calls": [function_call_object]}, - ) - - # 2. Act - serialized_json = message.model_dump_json() - - # 3. Assert - deserialized_data = json.loads(serialized_json) - tool_calls = deserialized_data["additional_kwargs"]["tool_calls"] - assert tool_calls[0]["name"] == "get_current_weather" - -def test_chat_message_str_method(): - """Tests the string representation of a ChatMessage.""" - message = types.ChatMessage(role="user", content="Hello, world!") - assert str(message) == "user: Hello, world!" - -def test_chat_message_from_str(): - """Tests creating a ChatMessage using the from_str factory method.""" - # Test with default role - message_user = types.ChatMessage.from_str("This is a test.") - assert message_user.role == types.MessageRole.USER - assert message_user.content == "This is a test." - - # Test with a specified string role - message_asst = types.ChatMessage.from_str("I can help.", role="assistant") - assert message_asst.role == types.MessageRole.ASSISTANT - assert message_asst.content == "I can help." - -def test_serialization_of_bytes_in_kwargs(): - """Tests if raw bytes in additional_kwargs are correctly base64 encoded.""" - raw_bytes = b"some binary data" - message = types.ChatMessage( - role="user", - additional_kwargs={"data": raw_bytes} - ) - - # Act - serialized_json = message.model_dump_json() - deserialized_data = json.loads(serialized_json) - - # Assert - expected_b64_string = base64.b64encode(raw_bytes).decode("utf-8") - assert deserialized_data["additional_kwargs"]["data"] == expected_b64_string \ No newline at end of file diff --git a/llama-index-core/llama_index/core/base/llms/types.py b/llama-index-core/llama_index/core/base/llms/types.py index b8c2c6fab6..2ce8477eda 100644 --- a/llama-index-core/llama_index/core/base/llms/types.py +++ b/llama-index-core/llama_index/core/base/llms/types.py @@ -36,16 +36,6 @@ from llama_index.core.schema import ImageDocument from llama_index.core.utils import resolve_binary -GOOGLE_FUNCTION_CALL_AVAILABLE = False -try: - from google.ai.generativelanguage_v1beta.types.content import FunctionCall - - GOOGLE_FUNCTION_CALL_AVAILABLE = True -except ImportError: - - class FunctionCall: - pass - class MessageRole(str, Enum): """Message role.""" @@ -560,15 +550,12 @@ def from_str( def _recursive_serialization(self, value: Any) -> Any: if isinstance(value, BaseModel): value.model_rebuild() # ensures all fields are initialized and serializable - return value.model_dump() # type: ignore + return value.model_dump() if isinstance(value, dict): - return { - key: self._recursive_serialization(value) - for key, value in value.items() - } + # CORRECTED LOGIC: Recursively call on the item's value (v), not the whole dict. + return {k: self._recursive_serialization(v) for k, v in value.items()} if isinstance(value, list): return [self._recursive_serialization(item) for item in value] - if isinstance(value, bytes): return base64.b64encode(value).decode("utf-8") @@ -576,23 +563,7 @@ def _recursive_serialization(self, value: Any) -> Any: @field_serializer("additional_kwargs", check_fields=False) def serialize_additional_kwargs(self, value: Any, _info: Any) -> Any: - if GOOGLE_FUNCTION_CALL_AVAILABLE and isinstance(value, dict): - original_tool_calls = value.get("tool_calls") - if isinstance(original_tool_calls, list): - # Create a new list that is guaranteed to be serializable - serializable_tool_calls = [] - for tc in original_tool_calls: - # If we find a FunctionCall object, convert it to a dict - if isinstance(tc, FunctionCall): - serializable_tool_calls.append(tc.to_dict()) - else: - # Otherwise, append the item as is - serializable_tool_calls.append(tc) - - # Update the dictionary with the sanitized list of tool calls - value["tool_calls"] = serializable_tool_calls - - # Now, safely serialize the entire dictionary + # With the helper fixed, this is all we need. return self._recursive_serialization(value) From 123d21691d4b0b75fc4e88f0eaf71f6f3ac8456b Mon Sep 17 00:00:00 2001 From: iamzimozic Date: Fri, 10 Oct 2025 12:02:52 +0000 Subject: [PATCH 5/7] fix --- .../llama_index/core/base/llms/types.py | 4 +- .../llama_index/memory/mem0/base.py | 17 +- .../tests/test_readers_oxylabs.py | 9 +- poetry.lock | 5550 +++++++++++++++++ pyproject.toml | 8 + 5 files changed, 5572 insertions(+), 16 deletions(-) create mode 100644 poetry.lock diff --git a/llama-index-core/llama_index/core/base/llms/types.py b/llama-index-core/llama_index/core/base/llms/types.py index 2ce8477eda..a3b0198ddf 100644 --- a/llama-index-core/llama_index/core/base/llms/types.py +++ b/llama-index-core/llama_index/core/base/llms/types.py @@ -549,10 +549,9 @@ def from_str( def _recursive_serialization(self, value: Any) -> Any: if isinstance(value, BaseModel): - value.model_rebuild() # ensures all fields are initialized and serializable + value.model_rebuild() return value.model_dump() if isinstance(value, dict): - # CORRECTED LOGIC: Recursively call on the item's value (v), not the whole dict. return {k: self._recursive_serialization(v) for k, v in value.items()} if isinstance(value, list): return [self._recursive_serialization(item) for item in value] @@ -563,7 +562,6 @@ def _recursive_serialization(self, value: Any) -> Any: @field_serializer("additional_kwargs", check_fields=False) def serialize_additional_kwargs(self, value: Any, _info: Any) -> Any: - # With the helper fixed, this is all we need. return self._recursive_serialization(value) diff --git a/llama-index-integrations/memory/llama-index-memory-mem0/llama_index/memory/mem0/base.py b/llama-index-integrations/memory/llama-index-memory-mem0/llama_index/memory/mem0/base.py index a4f95093d2..60c2dea710 100644 --- a/llama-index-integrations/memory/llama-index-memory-mem0/llama_index/memory/mem0/base.py +++ b/llama-index-integrations/memory/llama-index-memory-mem0/llama_index/memory/mem0/base.py @@ -47,15 +47,13 @@ def search(self, query: str, **kwargs) -> Optional[Dict[str, Any]]: class Mem0Context(BaseModel): - user_id: Optional[str] = None - agent_id: Optional[str] = None - run_id: Optional[str] = None + user_id: Optional[str] = Field(default=None, description="User ID") + agent_id: Optional[str] = Field(default=None, description="Agent ID") + run_id: Optional[str] = Field(default=None, description="Run ID") - @model_validator(mode="after") + @model_validator(mode="before") def check_at_least_one_assigned(cls, values): - if not any( - getattr(values, field) for field in ["user_id", "agent_id", "run_id"] - ): + if not any(values.get(field) for field in ["user_id", "agent_id", "run_id"]): raise ValueError( "At least one of 'user_id', 'agent_id', or 'run_id' must be assigned." ) @@ -142,10 +140,7 @@ def from_config( ): primary_memory = LlamaIndexMemory.from_defaults() - try: - context = Mem0Context(**context) - except Exception as e: - raise ValidationError(f"Context validation error: {e}") + context = Mem0Context(**context) client = Memory.from_config(config_dict=config) return cls( diff --git a/llama-index-integrations/readers/llama-index-readers-web/tests/test_readers_oxylabs.py b/llama-index-integrations/readers/llama-index-readers-web/tests/test_readers_oxylabs.py index f5fe42a8a4..f75932f941 100644 --- a/llama-index-integrations/readers/llama-index-readers-web/tests/test_readers_oxylabs.py +++ b/llama-index-integrations/readers/llama-index-readers-web/tests/test_readers_oxylabs.py @@ -1,5 +1,4 @@ -from unittest.mock import MagicMock, AsyncMock - +from unittest.mock import MagicMock, AsyncMock, patch import pytest import sys @@ -30,12 +29,15 @@ ("urls", "additional_params", "return_value", "expected_output"), [READER_TEST_PARAM], ) +@patch("llama_index.readers.web.oxylabs_web.base.version") def test_sync_oxylabs_reader( + mock_version: MagicMock, urls: list[str], additional_params: dict, return_value: dict, expected_output: str, ): + mock_version.return_value = "0.1.0" reader = OxylabsWebReader( username="OXYLABS_USERNAME", password="OXYLABS_PASSWORD", @@ -57,12 +59,15 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description = "Run a subprocess in a pseudo terminal" optional = false python-versions = "*" groups = ["dev"] -markers = "sys_platform != \"win32\" and (python_version < \"3.11\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")" +markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or python_version == \"3.9\" and sys_platform != \"win32\"" files = [ {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"}, From dd841e317101b0d219030c4777ed258d521ff88e Mon Sep 17 00:00:00 2001 From: iamzimozic Date: Sat, 11 Oct 2025 07:55:23 +0000 Subject: [PATCH 7/7] fix --- .../graph_stores/kuzu/kuzu_property_graph.py | 21 +++++++++---------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/llama_index/graph_stores/kuzu/kuzu_property_graph.py b/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/llama_index/graph_stores/kuzu/kuzu_property_graph.py index b5a10292f3..a5353def3e 100644 --- a/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/llama_index/graph_stores/kuzu/kuzu_property_graph.py +++ b/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/llama_index/graph_stores/kuzu/kuzu_property_graph.py @@ -182,30 +182,29 @@ def _create_vector_index(self, table_name: str) -> None: if not self.use_vector_index or table_name != "Chunk": return - # Check if chunk_embedding_index already exists existing_indexes_result = self.connection.execute( "CALL SHOW_INDEXES() RETURN *" ) for row in existing_indexes_result: - if len(row) > 1 and row[1] == "chunk_embedding_index": + if "embedding" in str(row): return - # Check if table has any data - Kuzu requires data before creating vector index count_result = self.connection.execute( f"MATCH (n:{table_name}) RETURN COUNT(n)" ) if not any(int(row[0]) > 0 for row in count_result): return - # Create vector index for Chunk table self.connection.execute(""" - CALL CREATE_VECTOR_INDEX( - 'Chunk', - 'chunk_embedding_index', - 'embedding', - metric := 'cosine' - ) - """) + CALL CREATE_VECTOR_INDEX( + 'Chunk', + 'embedding', + USING { + metric_type: 'COSINE', + index_type: 'HNSW' + } + ) + """) def _ensure_vector_indexes(self) -> None: """Ensure vector indexes are created for Chunk table only."""