From af44de36cb82277bb5e535e6c2ba968c5b52a18d Mon Sep 17 00:00:00 2001
From: francislan <francis.lan16@gmail.com>
Date: Mon, 21 Oct 2024 01:44:25 -0700
Subject: [PATCH 01/49] Change post-filters to pre-filters in
 BigQueryVectorStore (#554)

BigQueryVectorStore's _create_filters are post-filters. Now that BigQuery Vector Search supports pre-filtering on stored columns (https://cloud.google.com/bigquery/docs/vector-index#stored-columns), we can change all post-filters to pre-filters.

Note that this requires storing the columns that are referenced by the pre-filter. This cannot be done in Langchain yet. If the required columns are not stored, then the pre-filters will act as post-filters. The results returned by the new post-filters will be a superset of the post-filters done currently, which can return less results.
---
 .../bq_storage_vectorstores/bigquery.py                      | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py b/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py
index 8c6bb525..b28a1da8 100644
--- a/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py
+++ b/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py
@@ -333,9 +333,9 @@ def _create_search_query(
         full_query = f"""{embeddings_query}
         {select_clause}
         FROM VECTOR_SEARCH(
-            TABLE `{self.full_table_id}`,
+            (SELECT * FROM `{self.full_table_id}` WHERE {where_filter_expr}),
             "{self.embedding_field}",
-            (SELECT row_num, {self.embedding_field} from embeddings),
+            (SELECT row_num, {self.embedding_field} FROM embeddings),
             distance_type => "{self.distance_type}",
             top_k => {k}
         )
@@ -346,7 +346,6 @@ def _create_search_query(
         FROM (
             {full_query}
         ) AS result
-        WHERE {where_filter_expr}
         ORDER BY row_num, score
         """
         return full_query_wrapper

From f01f2dbd56b2eb4ae7b48ceacf19b02cc3cf7dc3 Mon Sep 17 00:00:00 2001
From: Vidit Bhatia <vidit-bhatia@users.noreply.github.com>
Date: Wed, 23 Oct 2024 20:01:25 +0530
Subject: [PATCH 02/49] Added support for tools in flass series of models
 (#562)

---
 libs/genai/langchain_google_genai/chat_models.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/genai/langchain_google_genai/chat_models.py b/libs/genai/langchain_google_genai/chat_models.py
index f328ec4e..1d8ff7f4 100644
--- a/libs/genai/langchain_google_genai/chat_models.py
+++ b/libs/genai/langchain_google_genai/chat_models.py
@@ -1412,7 +1412,7 @@ def create_cached_content(
 
     @property
     def _supports_tool_choice(self) -> bool:
-        return "gemini-1.5-pro" in self.model
+        return "gemini-1.5-pro" in self.model or "gemini-1.5-flash" in self.model
 
 
 def _get_tool_name(

From 5f04f4f18af6f47aa96ada4c982280e91422ca10 Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Thu, 24 Oct 2024 07:59:44 -0700
Subject: [PATCH 03/49] genai[patch]: trace tools in openai format (#565)

* genai[patch]: trace tools in openai format

* fmt

* fmt

* fmt

* fix

* fix

* fmt
---
 .../langchain_google_genai/_function_utils.py | 72 +++++++++----------
 .../langchain_google_genai/chat_models.py     | 48 ++++++++++---
 2 files changed, 71 insertions(+), 49 deletions(-)

diff --git a/libs/genai/langchain_google_genai/_function_utils.py b/libs/genai/langchain_google_genai/_function_utils.py
index 294d3aac..1190cb6b 100644
--- a/libs/genai/langchain_google_genai/_function_utils.py
+++ b/libs/genai/langchain_google_genai/_function_utils.py
@@ -102,12 +102,7 @@ def _format_json_schema_to_gapic(schema: Dict[str, Any]) -> Dict[str, Any]:
         elif key == "items":
             converted_schema["items"] = _format_json_schema_to_gapic(value)
         elif key == "properties":
-            if "properties" not in converted_schema:
-                converted_schema["properties"] = {}
-            for pkey, pvalue in value.items():
-                converted_schema["properties"][pkey] = _format_json_schema_to_gapic(
-                    pvalue
-                )
+            converted_schema["properties"] = _get_properties_from_schema(value)
             continue
         elif key == "allOf":
             if len(value) > 1:
@@ -159,13 +154,11 @@ def convert_to_genai_function_declarations(
     for tool in tools:
         if isinstance(tool, gapic.Tool):
             gapic_tool.function_declarations.extend(tool.function_declarations)
+        elif isinstance(tool, dict) and "function_declarations" not in tool:
+            fd = _format_to_gapic_function_declaration(tool)
+            gapic_tool.function_declarations.append(fd)
         elif isinstance(tool, dict):
-            if "function_declarations" not in tool:
-                fd = _format_to_gapic_function_declaration(tool)
-                gapic_tool.function_declarations.append(fd)
-                continue
-            tool = cast(_ToolDictLike, tool)
-            function_declarations = tool["function_declarations"]
+            function_declarations = cast(_ToolDictLike, tool)["function_declarations"]
             if not isinstance(function_declarations, collections.abc.Sequence):
                 raise ValueError(
                     "function_declarations should be a list"
@@ -204,9 +197,12 @@ def _format_to_gapic_function_declaration(
     elif isinstance(tool, type) and is_basemodel_subclass_safe(tool):
         return _convert_pydantic_to_genai_function(tool)
     elif isinstance(tool, dict):
-        if all(k in tool for k in ("name", "description")) and "parameters" not in tool:
+        if all(k in tool for k in ("type", "function")) and tool["type"] == "function":
+            function = tool["function"]
+        elif (
+            all(k in tool for k in ("name", "description")) and "parameters" not in tool
+        ):
             function = cast(dict, tool)
-            function["parameters"] = {}
         else:
             if (
                 "parameters" in tool and tool["parameters"].get("properties")  # type: ignore[index]
@@ -214,7 +210,10 @@ def _format_to_gapic_function_declaration(
                 function = convert_to_openai_tool(cast(dict, tool))["function"]
             else:
                 function = cast(dict, tool)
-                function["parameters"] = {}
+        function["parameters"] = function.get("parameters") or {}
+        # Empty 'properties' field not supported.
+        if not function["parameters"].get("properties"):
+            function["parameters"] = {}
         return _format_dict_to_function_declaration(cast(FunctionDescription, function))
     elif callable(tool):
         return _format_base_tool_to_function_declaration(callable_as_lc_tool()(tool))
@@ -302,7 +301,7 @@ def _get_properties_from_schema(schema: Dict) -> Dict[str, Any]:
             logger.warning(f"Value '{v}' is not supported in schema, ignoring v={v}")
             continue
         properties_item: Dict[str, Union[str, int, Dict, List]] = {}
-        if v.get("type") or v.get("anyOf"):
+        if v.get("type") or v.get("anyOf") or v.get("type_"):
             properties_item["type_"] = _get_type_from_schema(v)
 
         if v.get("enum"):
@@ -312,10 +311,10 @@ def _get_properties_from_schema(schema: Dict) -> Dict[str, Any]:
         if description and isinstance(description, str):
             properties_item["description"] = description
 
-        if v.get("type") == "array" and v.get("items"):
+        if properties_item.get("type_") == glm.Type.ARRAY and v.get("items"):
             properties_item["items"] = _get_items_from_schema_any(v.get("items"))
 
-        if v.get("type") == "object" and v.get("properties"):
+        if properties_item.get("type_") == glm.Type.OBJECT and v.get("properties"):
             properties_item["properties"] = _get_properties_from_schema_any(
                 v.get("properties")
             )
@@ -328,11 +327,7 @@ def _get_properties_from_schema(schema: Dict) -> Dict[str, Any]:
 
 
 def _get_items_from_schema_any(schema: Any) -> Dict[str, Any]:
-    if isinstance(schema, Dict):
-        return _get_items_from_schema(schema)
-    if isinstance(schema, List):
-        return _get_items_from_schema(schema)
-    if isinstance(schema, str):
+    if isinstance(schema, (dict, list, str)):
         return _get_items_from_schema(schema)
     return {}
 
@@ -343,21 +338,15 @@ def _get_items_from_schema(schema: Union[Dict, List, str]) -> Dict[str, Any]:
         for i, v in enumerate(schema):
             items[f"item{i}"] = _get_properties_from_schema_any(v)
     elif isinstance(schema, Dict):
-        item: Dict = {}
-        for k, v in schema.items():
-            item["type_"] = _get_type_from_schema(v)
-            if not isinstance(v, Dict):
-                logger.warning(
-                    f"Value '{v}' is not supported in schema, ignoring v={v}"
-                )
-                continue
-            if v.get("type") == "object" and v.get("properties"):
-                item["properties"] = _get_properties_from_schema_any(
-                    v.get("properties")
-                )
-            if k == "title" and "description" not in item:
-                item["description"] = v
-        items = item
+        items["type_"] = _get_type_from_schema(schema)
+        if items["type_"] == glm.Type.OBJECT and "properties" in schema:
+            items["properties"] = _get_properties_from_schema_any(schema["properties"])
+        if "title" in schema:
+            items["title"] = schema
+        if "title" in schema or "description" in schema:
+            items["description"] = (
+                schema.get("description") or schema.get("title") or ""
+            )
     else:
         # str
         items["type_"] = TYPE_ENUM.get(str(schema), glm.Type.STRING)
@@ -372,8 +361,11 @@ def _get_type_from_schema(schema: Dict[str, Any]) -> int:
             return types[-1]  # TODO: update FunctionDeclaration and pass all types?
         else:
             pass
-    elif "type" in schema:
-        stype = str(schema["type"])
+    elif "type" in schema or "type_" in schema:
+        type_ = schema["type"] if "type" in schema else schema["type_"]
+        if isinstance(type_, int):
+            return type_
+        stype = str(schema["type"]) if "type" in schema else str(schema["type_"])
         return TYPE_ENUM.get(stype, glm.Type.STRING)
     else:
         pass
diff --git a/libs/genai/langchain_google_genai/chat_models.py b/libs/genai/langchain_google_genai/chat_models.py
index 1d8ff7f4..d07e292a 100644
--- a/libs/genai/langchain_google_genai/chat_models.py
+++ b/libs/genai/langchain_google_genai/chat_models.py
@@ -82,6 +82,7 @@
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
 from langchain_core.runnables import Runnable, RunnablePassthrough
 from langchain_core.utils import secret_from_env
+from langchain_core.utils.function_calling import convert_to_openai_tool
 from pydantic import (
     BaseModel,
     ConfigDict,
@@ -996,6 +997,7 @@ def _generate(
         tool_config: Optional[Union[Dict, _ToolConfigDict]] = None,
         generation_config: Optional[Dict[str, Any]] = None,
         cached_content: Optional[str] = None,
+        tool_choice: Optional[Union[_ToolChoiceType, bool]] = None,
         **kwargs: Any,
     ) -> ChatResult:
         request = self._prepare_request(
@@ -1007,6 +1009,7 @@ def _generate(
             tool_config=tool_config,
             generation_config=generation_config,
             cached_content=cached_content or self.cached_content,
+            tool_choice=tool_choice,
         )
         response: GenerateContentResponse = _chat_with_retry(
             request=request,
@@ -1028,6 +1031,7 @@ async def _agenerate(
         tool_config: Optional[Union[Dict, _ToolConfigDict]] = None,
         generation_config: Optional[Dict[str, Any]] = None,
         cached_content: Optional[str] = None,
+        tool_choice: Optional[Union[_ToolChoiceType, bool]] = None,
         **kwargs: Any,
     ) -> ChatResult:
         if not self.async_client:
@@ -1054,6 +1058,7 @@ async def _agenerate(
             tool_config=tool_config,
             generation_config=generation_config,
             cached_content=cached_content or self.cached_content,
+            tool_choice=tool_choice,
         )
         response: GenerateContentResponse = await _achat_with_retry(
             request=request,
@@ -1075,6 +1080,7 @@ def _stream(
         tool_config: Optional[Union[Dict, _ToolConfigDict]] = None,
         generation_config: Optional[Dict[str, Any]] = None,
         cached_content: Optional[str] = None,
+        tool_choice: Optional[Union[_ToolChoiceType, bool]] = None,
         **kwargs: Any,
     ) -> Iterator[ChatGenerationChunk]:
         request = self._prepare_request(
@@ -1086,6 +1092,7 @@ def _stream(
             tool_config=tool_config,
             generation_config=generation_config,
             cached_content=cached_content or self.cached_content,
+            tool_choice=tool_choice,
         )
         response: GenerateContentResponse = _chat_with_retry(
             request=request,
@@ -1135,6 +1142,7 @@ async def _astream(
         tool_config: Optional[Union[Dict, _ToolConfigDict]] = None,
         generation_config: Optional[Dict[str, Any]] = None,
         cached_content: Optional[str] = None,
+        tool_choice: Optional[Union[_ToolChoiceType, bool]] = None,
         **kwargs: Any,
     ) -> AsyncIterator[ChatGenerationChunk]:
         if not self.async_client:
@@ -1162,6 +1170,7 @@ async def _astream(
                 tool_config=tool_config,
                 generation_config=generation_config,
                 cached_content=cached_content or self.cached_content,
+                tool_choice=tool_choice,
             )
             prev_usage_metadata: UsageMetadata | None = None
             async for chunk in await _achat_with_retry(
@@ -1206,9 +1215,15 @@ def _prepare_request(
         functions: Optional[Sequence[FunctionDeclarationType]] = None,
         safety_settings: Optional[SafetySettingDict] = None,
         tool_config: Optional[Union[Dict, _ToolConfigDict]] = None,
+        tool_choice: Optional[Union[_ToolChoiceType, bool]] = None,
         generation_config: Optional[Dict[str, Any]] = None,
         cached_content: Optional[str] = None,
     ) -> Tuple[GenerateContentRequest, Dict[str, Any]]:
+        if tool_choice and tool_config:
+            raise ValueError(
+                "Must specify at most one of tool_choice and tool_config, received "
+                f"both:\n\n{tool_choice=}\n\n{tool_config=}"
+            )
         formatted_tools = None
         if tools:
             formatted_tools = [convert_to_genai_function_declarations(tools)]
@@ -1219,6 +1234,18 @@ def _prepare_request(
             messages,
             convert_system_message_to_human=self.convert_system_message_to_human,
         )
+        if tool_choice:
+            if not formatted_tools:
+                msg = (
+                    f"Received {tool_choice=} but no {tools=}. 'tool_choice' can only "
+                    f"be specified if 'tools' is specified."
+                )
+                raise ValueError(msg)
+            all_names = [
+                f.name for t in formatted_tools for f in t.function_declarations
+            ]
+            tool_config = _tool_choice_to_tool_config(tool_choice, all_names)
+
         formatted_tool_config = None
         if tool_config:
             formatted_tool_config = ToolConfig(
@@ -1315,16 +1342,19 @@ def bind_tools(
                 "Must specify at most one of tool_choice and tool_config, received "
                 f"both:\n\n{tool_choice=}\n\n{tool_config=}"
             )
-        # Bind dicts for easier serialization/deserialization.
-        genai_tools = [tool_to_dict(convert_to_genai_function_declarations(tools))]
-        if tool_choice:
-            all_names = [
-                f["name"]  # type: ignore[index]
-                for t in genai_tools
-                for f in t["function_declarations"]
+        try:
+            formatted_tools: list = [convert_to_openai_tool(tool) for tool in tools]  # type: ignore[arg-type]
+        except Exception:
+            formatted_tools = [
+                tool_to_dict(convert_to_genai_function_declarations(tools))
             ]
-            tool_config = _tool_choice_to_tool_config(tool_choice, all_names)
-        return self.bind(tools=genai_tools, tool_config=tool_config, **kwargs)
+        if tool_choice:
+            kwargs["tool_choice"] = tool_choice
+        elif tool_config:
+            kwargs["tool_config"] = tool_config
+        else:
+            pass
+        return self.bind(tools=formatted_tools, **kwargs)
 
     def create_cached_content(
         self,

From 97411ae662c61ff56933d7acb3f83c09f52f8c55 Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Sat, 26 Oct 2024 00:15:21 -0700
Subject: [PATCH 04/49] genai[patch]: fix tool schema with nullable args (#566)

---
 .../langchain_google_genai/_function_utils.py |  38 ++++-
 .../tests/unit_tests/test_function_utils.py   | 153 +++++++++++++++++-
 2 files changed, 185 insertions(+), 6 deletions(-)

diff --git a/libs/genai/langchain_google_genai/_function_utils.py b/libs/genai/langchain_google_genai/_function_utils.py
index 1190cb6b..faf7c5f5 100644
--- a/libs/genai/langchain_google_genai/_function_utils.py
+++ b/libs/genai/langchain_google_genai/_function_utils.py
@@ -43,9 +43,9 @@
     "boolean": glm.Type.BOOLEAN,
     "array": glm.Type.ARRAY,
     "object": glm.Type.OBJECT,
+    "null": None,
 }
 
-TYPE_ENUM_REVERSE = {v: k for k, v in TYPE_ENUM.items()}
 _ALLOWED_SCHEMA_FIELDS = []
 _ALLOWED_SCHEMA_FIELDS.extend([f.name for f in gapic.Schema()._pb.DESCRIPTOR.fields])
 _ALLOWED_SCHEMA_FIELDS.extend(
@@ -303,6 +303,8 @@ def _get_properties_from_schema(schema: Dict) -> Dict[str, Any]:
         properties_item: Dict[str, Union[str, int, Dict, List]] = {}
         if v.get("type") or v.get("anyOf") or v.get("type_"):
             properties_item["type_"] = _get_type_from_schema(v)
+            if _is_nullable_schema(v):
+                properties_item["nullable"] = True
 
         if v.get("enum"):
             properties_item["enum"] = v["enum"]
@@ -347,15 +349,26 @@ def _get_items_from_schema(schema: Union[Dict, List, str]) -> Dict[str, Any]:
             items["description"] = (
                 schema.get("description") or schema.get("title") or ""
             )
+        if _is_nullable_schema(schema):
+            items["nullable"] = True
     else:
         # str
-        items["type_"] = TYPE_ENUM.get(str(schema), glm.Type.STRING)
+        items["type_"] = _get_type_from_schema({"type": schema})
+        if _is_nullable_schema({"type": schema}):
+            items["nullable"] = True
+
     return items
 
 
 def _get_type_from_schema(schema: Dict[str, Any]) -> int:
+    return _get_nullable_type_from_schema(schema) or glm.Type.STRING
+
+
+def _get_nullable_type_from_schema(schema: Dict[str, Any]) -> Optional[int]:
     if "anyOf" in schema:
-        types = [_get_type_from_schema(sub_schema) for sub_schema in schema["anyOf"]]
+        types = [
+            _get_nullable_type_from_schema(sub_schema) for sub_schema in schema["anyOf"]
+        ]
         types = [t for t in types if t is not None]  # Remove None values
         if types:
             return types[-1]  # TODO: update FunctionDeclaration and pass all types?
@@ -369,7 +382,24 @@ def _get_type_from_schema(schema: Dict[str, Any]) -> int:
         return TYPE_ENUM.get(stype, glm.Type.STRING)
     else:
         pass
-    return TYPE_ENUM["string"]  # Default to string if no valid types found
+    return glm.Type.STRING  # Default to string if no valid types found
+
+
+def _is_nullable_schema(schema: Dict[str, Any]) -> bool:
+    if "anyOf" in schema:
+        types = [
+            _get_nullable_type_from_schema(sub_schema) for sub_schema in schema["anyOf"]
+        ]
+        return any(t is None for t in types)
+    elif "type" in schema or "type_" in schema:
+        type_ = schema["type"] if "type" in schema else schema["type_"]
+        if isinstance(type_, int):
+            return False
+        stype = str(schema["type"]) if "type" in schema else str(schema["type_"])
+        return TYPE_ENUM.get(stype, glm.Type.STRING) is None
+    else:
+        pass
+    return False
 
 
 _ToolChoiceType = Union[
diff --git a/libs/genai/tests/unit_tests/test_function_utils.py b/libs/genai/tests/unit_tests/test_function_utils.py
index f3d02304..536c2a99 100644
--- a/libs/genai/tests/unit_tests/test_function_utils.py
+++ b/libs/genai/tests/unit_tests/test_function_utils.py
@@ -1,10 +1,13 @@
-from typing import Any, Generator
+from typing import Any, Generator, Optional, Union
 from unittest.mock import MagicMock, patch
 
 import google.ai.generativelanguage as glm
 import pytest
-from langchain_core.tools import tool
+from langchain_core.documents import Document
+from langchain_core.tools import InjectedToolArg, tool
+from langchain_core.utils.function_calling import convert_to_openai_tool
 from pydantic import BaseModel
+from typing_extensions import Annotated
 
 from langchain_google_genai._function_utils import (
     _tool_choice_to_tool_config,
@@ -56,6 +59,152 @@ def do_something_optional(a: float, b: float = 0) -> str:
     assert len(function_declaration.parameters.required) == 1
 
 
+def test_tool_with_annotated_optional_args() -> None:
+    @tool(parse_docstring=True)
+    def split_documents(
+        chunk_size: int,
+        knowledge_base: Annotated[Union[list[Document], Document], InjectedToolArg],
+        chunk_overlap: Optional[int] = None,
+        tokenizer_name: Annotated[Optional[str], InjectedToolArg] = "model",
+    ) -> list[Document]:
+        """
+        Tool.
+
+        Args:
+          chunk_size: chunk size.
+          knowledge_base: knowledge base.
+          chunk_overlap: chunk overlap.
+          tokenizer_name: tokenizer name.
+        """
+        return []
+
+    @tool(parse_docstring=True)
+    def search_web(
+        query: str,
+        engine: str = "Google",
+        num_results: int = 5,
+        truncate_threshold: Optional[int] = None,
+    ) -> list[Document]:
+        """
+        Tool.
+
+        Args:
+          query: query.
+          engine: engine.
+          num_results: number of results.
+          truncate_threshold: truncate threshold.
+        """
+        return []
+
+    tools = [split_documents, search_web]
+    # Convert to OpenAI first to mimic what we do in bind_tools.
+    oai_tools = [convert_to_openai_tool(t) for t in tools]
+    expected = [
+        {
+            "name": "split_documents",
+            "description": "Tool.",
+            "parameters": {
+                "type_": 6,
+                "properties": {
+                    "chunk_overlap": {
+                        "type_": 3,
+                        "description": "chunk overlap.",
+                        "format_": "",
+                        "nullable": True,
+                        "enum": [],
+                        "max_items": "0",
+                        "min_items": "0",
+                        "properties": {},
+                        "required": [],
+                    },
+                    "chunk_size": {
+                        "type_": 3,
+                        "description": "chunk size.",
+                        "format_": "",
+                        "nullable": False,
+                        "enum": [],
+                        "max_items": "0",
+                        "min_items": "0",
+                        "properties": {},
+                        "required": [],
+                    },
+                },
+                "required": ["chunk_size"],
+                "format_": "",
+                "description": "",
+                "nullable": False,
+                "enum": [],
+                "max_items": "0",
+                "min_items": "0",
+            },
+        },
+        {
+            "name": "search_web",
+            "description": "Tool.",
+            "parameters": {
+                "type_": 6,
+                "properties": {
+                    "truncate_threshold": {
+                        "type_": 3,
+                        "description": "truncate threshold.",
+                        "format_": "",
+                        "nullable": True,
+                        "enum": [],
+                        "max_items": "0",
+                        "min_items": "0",
+                        "properties": {},
+                        "required": [],
+                    },
+                    "query": {
+                        "type_": 1,
+                        "description": "query.",
+                        "format_": "",
+                        "nullable": False,
+                        "enum": [],
+                        "max_items": "0",
+                        "min_items": "0",
+                        "properties": {},
+                        "required": [],
+                    },
+                    "engine": {
+                        "type_": 1,
+                        "description": "engine.",
+                        "format_": "",
+                        "nullable": False,
+                        "enum": [],
+                        "max_items": "0",
+                        "min_items": "0",
+                        "properties": {},
+                        "required": [],
+                    },
+                    "num_results": {
+                        "type_": 3,
+                        "description": "number of results.",
+                        "format_": "",
+                        "nullable": False,
+                        "enum": [],
+                        "max_items": "0",
+                        "min_items": "0",
+                        "properties": {},
+                        "required": [],
+                    },
+                },
+                "required": ["query"],
+                "format_": "",
+                "description": "",
+                "nullable": False,
+                "enum": [],
+                "max_items": "0",
+                "min_items": "0",
+            },
+        },
+    ]
+    actual = tool_to_dict(convert_to_genai_function_declarations(oai_tools))[
+        "function_declarations"
+    ]
+    assert expected == actual
+
+
 def test_format_native_dict_to_genai_function() -> None:
     calculator = {
         "function_declarations": [

From 6b41665669787754fae1940171be2d9264503910 Mon Sep 17 00:00:00 2001
From: Jackson Porter <j6porter@uwaterloo.ca>
Date: Sat, 26 Oct 2024 04:12:44 -0400
Subject: [PATCH 05/49] Fix: correct avg_logprobs check to <0 for response
 metadata (#564)

---
 libs/vertexai/langchain_google_vertexai/_utils.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/vertexai/langchain_google_vertexai/_utils.py b/libs/vertexai/langchain_google_vertexai/_utils.py
index eba06651..0d7e1e2b 100644
--- a/libs/vertexai/langchain_google_vertexai/_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_utils.py
@@ -182,7 +182,7 @@ def get_generation_info(
             if (
                 isinstance(candidate.avg_logprobs, float)
                 and not math.isnan(candidate.avg_logprobs)
-                and candidate.avg_logprobs > 0
+                and candidate.avg_logprobs < 0
             ):
                 info["avg_logprobs"] = candidate.avg_logprobs
 

From 2071b7d345cfdc7f3e5f3afc2a6a4f6423dea7d4 Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Mon, 28 Oct 2024 11:04:06 -0700
Subject: [PATCH 06/49] infra: drop py3.8, add py3.12-13 CI

---
 .github/workflows/_compile_integration_test.yml | 3 ++-
 .github/workflows/_lint.yml                     | 4 ++--
 .github/workflows/_test.yml                     | 3 ++-
 3 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/_compile_integration_test.yml b/.github/workflows/_compile_integration_test.yml
index d8b5b9b0..9625d40f 100644
--- a/.github/workflows/_compile_integration_test.yml
+++ b/.github/workflows/_compile_integration_test.yml
@@ -20,10 +20,11 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.8"
           - "3.9"
           - "3.10"
           - "3.11"
+          - "3.12"
+          - "3.13"
     name: "poetry run pytest -m compile tests/integration_tests #${{ matrix.python-version }}"
     steps:
       - uses: actions/checkout@v4
diff --git a/.github/workflows/_lint.yml b/.github/workflows/_lint.yml
index e2e25fb8..d2557549 100644
--- a/.github/workflows/_lint.yml
+++ b/.github/workflows/_lint.yml
@@ -33,8 +33,8 @@ jobs:
         # Starting new jobs is also relatively slow,
         # so linting on fewer versions makes CI faster.
         python-version:
-          - "3.8"
-          - "3.11"
+          - "3.9"
+          - "3.13"
     steps:
       - uses: actions/checkout@v4
 
diff --git a/.github/workflows/_test.yml b/.github/workflows/_test.yml
index 928cab76..5d82a4ac 100644
--- a/.github/workflows/_test.yml
+++ b/.github/workflows/_test.yml
@@ -24,10 +24,11 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.8"
           - "3.9"
           - "3.10"
           - "3.11"
+          - "3.12"
+          - "3.13"
     name: "make test #${{ matrix.python-version }}"
     steps:
       - uses: actions/checkout@v4

From 83427db817f53c0400b28cb3a1749bf27b44a4de Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Mon, 28 Oct 2024 12:45:25 -0700
Subject: [PATCH 07/49] rm 3.13

---
 .github/workflows/_compile_integration_test.yml | 1 -
 .github/workflows/_lint.yml                     | 2 +-
 .github/workflows/_test.yml                     | 1 -
 3 files changed, 1 insertion(+), 3 deletions(-)

diff --git a/.github/workflows/_compile_integration_test.yml b/.github/workflows/_compile_integration_test.yml
index 9625d40f..db3d8821 100644
--- a/.github/workflows/_compile_integration_test.yml
+++ b/.github/workflows/_compile_integration_test.yml
@@ -24,7 +24,6 @@ jobs:
           - "3.10"
           - "3.11"
           - "3.12"
-          - "3.13"
     name: "poetry run pytest -m compile tests/integration_tests #${{ matrix.python-version }}"
     steps:
       - uses: actions/checkout@v4
diff --git a/.github/workflows/_lint.yml b/.github/workflows/_lint.yml
index d2557549..2e21b948 100644
--- a/.github/workflows/_lint.yml
+++ b/.github/workflows/_lint.yml
@@ -34,7 +34,7 @@ jobs:
         # so linting on fewer versions makes CI faster.
         python-version:
           - "3.9"
-          - "3.13"
+          - "3.12"
     steps:
       - uses: actions/checkout@v4
 
diff --git a/.github/workflows/_test.yml b/.github/workflows/_test.yml
index 5d82a4ac..61b29331 100644
--- a/.github/workflows/_test.yml
+++ b/.github/workflows/_test.yml
@@ -28,7 +28,6 @@ jobs:
           - "3.10"
           - "3.11"
           - "3.12"
-          - "3.13"
     name: "make test #${{ matrix.python-version }}"
     steps:
       - uses: actions/checkout@v4

From 1a196a8217b1f1fc7c24c6b57cca776efc7003d8 Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Mon, 28 Oct 2024 17:40:48 -0700
Subject: [PATCH 08/49] genai[patch]: Release 2.0.2

---
 libs/genai/poetry.lock    | 596 ++++++++++++++++++++------------------
 libs/genai/pyproject.toml |   4 +-
 2 files changed, 313 insertions(+), 287 deletions(-)

diff --git a/libs/genai/poetry.lock b/libs/genai/poetry.lock
index 539aa4fd..c4727895 100644
--- a/libs/genai/poetry.lock
+++ b/libs/genai/poetry.lock
@@ -13,13 +13,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.6.0"
+version = "4.6.2.post1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
-    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
+    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
+    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
 ]
 
 [package.dependencies]
@@ -30,7 +30,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -57,101 +57,116 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.2"
+version = "3.4.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
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 ]
 
 [[package]]
@@ -229,13 +244,13 @@ protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4
 
 [[package]]
 name = "google-api-core"
-version = "2.20.0"
+version = "2.22.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -249,24 +264,28 @@ grpcio-status = [
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
-proto-plus = ">=1.22.3,<2.0.0dev"
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""},
+    {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""},
+]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
+async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
 grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.148.0"
+version = "2.149.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -356,85 +375,85 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "grpcio"
-version = "1.66.2"
+version = "1.67.0"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.66.2)"]
+protobuf = ["grpcio-tools (>=1.67.0)"]
 
 [[package]]
 name = "grpcio-status"
-version = "1.66.2"
+version = "1.67.0"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.66.2"
+grpcio = ">=1.67.0"
 protobuf = ">=5.26.1,<6.0dev"
 
 [[package]]
@@ -560,7 +579,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.9"
+version = "0.3.13"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -576,14 +595,14 @@ pydantic = [
     {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
 ]
 PyYAML = ">=5.3"
-tenacity = "^8.1.0,!=8.4.0"
+tenacity = ">=8.1.0,!=8.4.0,<10.0.0"
 typing-extensions = ">=4.7"
 
 [package.source]
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "16f5fdb38b307ee3f3b5065f671b28c90661b698"
+resolved_reference = "94e5765416037b9b90a27603cfda36cbe86bce71"
 subdirectory = "libs/core"
 
 [[package]]
@@ -605,18 +624,18 @@ syrupy = "^4"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
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 subdirectory = "libs/standard-tests"
 
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 [package.dependencies]
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 [package.extras]
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 install-types = ["pip"]
 mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
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 ]
 
 [[package]]
@@ -923,13 +949,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "proto-plus"
-version = "1.24.0"
+version = "1.25.0"
 description = "Beautiful, Pythonic protocol buffers."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "proto-plus-1.24.0.tar.gz", hash = "sha256:30b72a5ecafe4406b0d339db35b56c4059064e69227b8c3bda7462397f966445"},
-    {file = "proto_plus-1.24.0-py3-none-any.whl", hash = "sha256:402576830425e5f6ce4c2a6702400ac79897dab0b4343821aa5188b0fab81a12"},
+    {file = "proto_plus-1.25.0-py3-none-any.whl", hash = "sha256:c91fc4a65074ade8e458e95ef8bac34d4008daa7cce4a12d6707066fca648961"},
+    {file = "proto_plus-1.25.0.tar.gz", hash = "sha256:fbb17f57f7bd05a68b7707e745e26528b0b3c34e378db91eef93912c54982d91"},
 ]
 
 [package.dependencies]
@@ -940,22 +966,22 @@ testing = ["google-api-core (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
-version = "5.28.2"
+version = "5.28.3"
 description = ""
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "protobuf-5.28.2-cp310-abi3-win32.whl", hash = "sha256:eeea10f3dc0ac7e6b4933d32db20662902b4ab81bf28df12218aa389e9c2102d"},
-    {file = "protobuf-5.28.2-cp310-abi3-win_amd64.whl", hash = "sha256:2c69461a7fcc8e24be697624c09a839976d82ae75062b11a0972e41fd2cd9132"},
-    {file = "protobuf-5.28.2-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:a8b9403fc70764b08d2f593ce44f1d2920c5077bf7d311fefec999f8c40f78b7"},
-    {file = "protobuf-5.28.2-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:35cfcb15f213449af7ff6198d6eb5f739c37d7e4f1c09b5d0641babf2cc0c68f"},
-    {file = "protobuf-5.28.2-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:5e8a95246d581eef20471b5d5ba010d55f66740942b95ba9b872d918c459452f"},
-    {file = "protobuf-5.28.2-cp38-cp38-win32.whl", hash = "sha256:87317e9bcda04a32f2ee82089a204d3a2f0d3c8aeed16568c7daf4756e4f1fe0"},
-    {file = "protobuf-5.28.2-cp38-cp38-win_amd64.whl", hash = "sha256:c0ea0123dac3399a2eeb1a1443d82b7afc9ff40241433296769f7da42d142ec3"},
-    {file = "protobuf-5.28.2-cp39-cp39-win32.whl", hash = "sha256:ca53faf29896c526863366a52a8f4d88e69cd04ec9571ed6082fa117fac3ab36"},
-    {file = "protobuf-5.28.2-cp39-cp39-win_amd64.whl", hash = "sha256:8ddc60bf374785fb7cb12510b267f59067fa10087325b8e1855b898a0d81d276"},
-    {file = "protobuf-5.28.2-py3-none-any.whl", hash = "sha256:52235802093bd8a2811abbe8bf0ab9c5f54cca0a751fdd3f6ac2a21438bffece"},
-    {file = "protobuf-5.28.2.tar.gz", hash = "sha256:59379674ff119717404f7454647913787034f03fe7049cbef1d74a97bb4593f0"},
+    {file = "protobuf-5.28.3-cp310-abi3-win32.whl", hash = "sha256:0c4eec6f987338617072592b97943fdbe30d019c56126493111cf24344c1cc24"},
+    {file = "protobuf-5.28.3-cp310-abi3-win_amd64.whl", hash = "sha256:91fba8f445723fcf400fdbe9ca796b19d3b1242cd873907979b9ed71e4afe868"},
+    {file = "protobuf-5.28.3-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:a3f6857551e53ce35e60b403b8a27b0295f7d6eb63d10484f12bc6879c715687"},
+    {file = "protobuf-5.28.3-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:3fa2de6b8b29d12c61911505d893afe7320ce7ccba4df913e2971461fa36d584"},
+    {file = "protobuf-5.28.3-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:712319fbdddb46f21abb66cd33cb9e491a5763b2febd8f228251add221981135"},
+    {file = "protobuf-5.28.3-cp38-cp38-win32.whl", hash = "sha256:3e6101d095dfd119513cde7259aa703d16c6bbdfae2554dfe5cfdbe94e32d548"},
+    {file = "protobuf-5.28.3-cp38-cp38-win_amd64.whl", hash = "sha256:27b246b3723692bf1068d5734ddaf2fccc2cdd6e0c9b47fe099244d80200593b"},
+    {file = "protobuf-5.28.3-cp39-cp39-win32.whl", hash = "sha256:135658402f71bbd49500322c0f736145731b16fc79dc8f367ab544a17eab4535"},
+    {file = "protobuf-5.28.3-cp39-cp39-win_amd64.whl", hash = "sha256:70585a70fc2dd4818c51287ceef5bdba6387f88a578c86d47bb34669b5552c36"},
+    {file = "protobuf-5.28.3-py3-none-any.whl", hash = "sha256:cee1757663fa32a1ee673434fcf3bf24dd54763c79690201208bafec62f19eed"},
+    {file = "protobuf-5.28.3.tar.gz", hash = "sha256:64badbc49180a5e401f373f9ce7ab1d18b63f7dd4a9cdc43c92b9f0b481cef7b"},
 ]
 
 [[package]]
@@ -1109,13 +1135,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pyparsing"
-version = "3.1.4"
+version = "3.2.0"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
-python-versions = ">=3.6.8"
+python-versions = ">=3.9"
 files = [
-    {file = "pyparsing-3.1.4-py3-none-any.whl", hash = "sha256:a6a7ee4235a3f944aa1fa2249307708f893fe5717dc603503c6c7969c070fb7c"},
-    {file = "pyparsing-3.1.4.tar.gz", hash = "sha256:f86ec8d1a83f11977c9a6ea7598e8c27fc5cddfa5b07ea2241edbbde1d7bc032"},
+    {file = "pyparsing-3.2.0-py3-none-any.whl", hash = "sha256:93d9577b88da0bbea8cc8334ee8b918ed014968fd2ec383e868fb8afb1ccef84"},
+    {file = "pyparsing-3.2.0.tar.gz", hash = "sha256:cbf74e27246d595d9a74b186b810f6fbb86726dbf3b9532efb343f6d7294fe9c"},
 ]
 
 [package.extras]
@@ -1382,13 +1408,13 @@ pytest = ">=7.0.0,<9.0.0"
 
 [[package]]
 name = "tenacity"
-version = "8.5.0"
+version = "9.0.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
-    {file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
+    {file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
+    {file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
 ]
 
 [package.extras]
@@ -1408,13 +1434,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.5"
+version = "4.66.6"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
-    {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
+    {file = "tqdm-4.66.6-py3-none-any.whl", hash = "sha256:223e8b5359c2efc4b30555531f09e9f2f3589bcd7fdd389271191031b49b7a63"},
+    {file = "tqdm-4.66.6.tar.gz", hash = "sha256:4bdd694238bef1485ce839d67967ab50af8f9272aab687c0d7702a01da0be090"},
 ]
 
 [package.dependencies]
@@ -1461,13 +1487,13 @@ files = [
 
 [[package]]
 name = "types-requests"
-version = "2.32.0.20240914"
+version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-requests-2.32.0.20240914.tar.gz", hash = "sha256:2850e178db3919d9bf809e434eef65ba49d0e7e33ac92d588f4a5e295fffd405"},
-    {file = "types_requests-2.32.0.20240914-py3-none-any.whl", hash = "sha256:59c2f673eb55f32a99b2894faf6020e1a9f4a402ad0f192bfee0b64469054310"},
+    {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
+    {file = "types_requests-2.32.0.20241016-py3-none-any.whl", hash = "sha256:4195d62d6d3e043a4eaaf08ff8a62184584d2e8684e9d2aa178c7915a7da3747"},
 ]
 
 [package.dependencies]
@@ -1560,4 +1586,4 @@ images = ["pillow"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "0158c691efd71fea6b832c533ea2c3d0f559c8eec16254f91f1347c26c870c81"
+content-hash = "142fa3f19eb3125ef90affd35150a3028bee3aa423e54e3731b6770067b39aa2"
diff --git a/libs/genai/pyproject.toml b/libs/genai/pyproject.toml
index 52503de2..251405ef 100644
--- a/libs/genai/pyproject.toml
+++ b/libs/genai/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-genai"
-version = "2.0.1"
+version = "2.0.2"
 description = "An integration package connecting Google's genai package and LangChain"
 authors = []
 readme = "README.md"
@@ -12,7 +12,7 @@ license = "MIT"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
-langchain-core = ">=0.3.9,<0.4"
+langchain-core = ">=0.3.13,<0.4"
 google-generativeai = "^0.8.0"
 pillow = { version = "^10.1.0", optional = true }
 pydantic = ">=2,<3"

From bf0c0c78788e8173800524784b9d6eeceb9007ed Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Tue, 29 Oct 2024 06:33:19 -0700
Subject: [PATCH 09/49] vertexai[patch]: Add logprobs support (#570)

---
 .../langchain_google_vertexai/_utils.py       |    3 +
 .../langchain_google_vertexai/chat_models.py  |   52 +-
 .../functions_utils.py                        |    2 +-
 libs/vertexai/poetry.lock                     | 1758 +++++++++--------
 libs/vertexai/pyproject.toml                  |    4 +-
 .../integration_tests/test_chat_models.py     |   10 +
 6 files changed, 1020 insertions(+), 809 deletions(-)

diff --git a/libs/vertexai/langchain_google_vertexai/_utils.py b/libs/vertexai/langchain_google_vertexai/_utils.py
index 0d7e1e2b..4799a4ab 100644
--- a/libs/vertexai/langchain_google_vertexai/_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_utils.py
@@ -186,6 +186,9 @@ def get_generation_info(
             ):
                 info["avg_logprobs"] = candidate.avg_logprobs
 
+        if hasattr(candidate, "logprobs_result"):
+            info["logprobs_result"] = proto.Message.to_dict(candidate.logprobs_result)
+
         try:
             if candidate.grounding_metadata:
                 info["grounding_metadata"] = proto.Message.to_dict(
diff --git a/libs/vertexai/langchain_google_vertexai/chat_models.py b/libs/vertexai/langchain_google_vertexai/chat_models.py
index f451979d..ebd87d04 100644
--- a/libs/vertexai/langchain_google_vertexai/chat_models.py
+++ b/libs/vertexai/langchain_google_vertexai/chat_models.py
@@ -145,6 +145,8 @@
     "frequency_penalty",
     "candidate_count",
     "seed",
+    "response_logprobs",
+    "logprobs",
 ]
 _allowed_params_prediction_service = ["request", "timeout", "metadata"]
 
@@ -935,6 +937,29 @@ class Joke(BaseModel):
 
             {'input_tokens': 17, 'output_tokens': 7, 'total_tokens': 24}
 
+    Logprobs:
+        .. code-block:: python
+
+            llm = ChatVertexAI(model="gemini-1.5-flash-001", logprobs=True)
+            ai_msg = llm.invoke(messages)
+            ai_msg.response_metadata["logprobs_result"]
+
+        .. code-block:: python
+
+            {
+                'chosen_candidates': [
+                    {'token': 'J', 'log_probability': 0.0},
+                    {'token': "'", 'log_probability': -4.0052048e-05},
+                    {'token': 'adore', 'log_probability': -0.003931577},
+                    {'token': ' programmer', 'log_probability': -0.13637993},
+                    {'token': '.', 'log_probability': -7.630326e-06},
+                    {'token': ' ', 'log_probability': -3.1950593e-05},
+                    {'token': '\n', 'log_probability': 0.0}
+                ],
+                'top_candidates': []
+            }
+
+
     Response metadata
         .. code-block:: python
 
@@ -1025,6 +1050,17 @@ class Joke(BaseModel):
         models. Must be a string containing the cache name (A sequence of numbers)
     """
 
+    logprobs: Union[bool, int] = False
+    """Whether to return logprobs as part of AIMessage.response_metadata.
+    
+    If False, don't return logprobs. If True, return logprobs for top candidate. If 
+    int, return logprobs for top ``logprobs`` candidates.
+    
+    **NOTE**: As of 10.28.24 this is only supported for gemini-1.5-flash models.
+    
+    .. versionadded: 2.0.6
+    """
+
     def __init__(self, *, model_name: Optional[str] = None, **kwargs: Any) -> None:
         """Needed for mypy typing to recognize model_name as a valid arg."""
         if model_name:
@@ -1193,12 +1229,22 @@ def _generation_config_gemini(
         self,
         stop: Optional[List[str]] = None,
         stream: bool = False,
-        **kwargs,
+        *,
+        logprobs: int | bool = False,
+        **kwargs: Any,
     ) -> GenerationConfig:
         """Prepares GenerationConfig part of the request.
 
         https://cloud.google.com/vertex-ai/docs/reference/rpc/google.cloud.aiplatform.v1beta1#generationconfig
         """
+        if logprobs and isinstance(logprobs, bool):
+            kwargs["response_logprobs"] = logprobs
+        elif logprobs and isinstance(logprobs, int):
+            kwargs["response_logprobs"] = True
+            kwargs["logprobs"] = logprobs
+        else:
+            pass
+
         return GenerationConfig(
             **self._prepare_params(
                 stop=stop,
@@ -1249,6 +1295,7 @@ def _prepare_request_gemini(
         cached_content: Optional[str] = None,
         *,
         tool_choice: Optional[_ToolChoiceType] = None,
+        logprobs: Optional[Union[int, bool]] = None,
         **kwargs,
     ) -> GenerateContentRequest:
         system_instruction, contents = _parse_chat_history_gemini(messages)
@@ -1265,8 +1312,9 @@ def _prepare_request_gemini(
         else:
             pass
         safety_settings = self._safety_settings_gemini(safety_settings)
+        logprobs = logprobs if logprobs is not None else self.logprobs
         generation_config = self._generation_config_gemini(
-            stream=stream, stop=stop, **kwargs
+            stream=stream, stop=stop, logprobs=logprobs, **kwargs
         )
 
         if (self.cached_content is not None) or (cached_content is not None):
diff --git a/libs/vertexai/langchain_google_vertexai/functions_utils.py b/libs/vertexai/langchain_google_vertexai/functions_utils.py
index abdf1a56..f5422b40 100644
--- a/libs/vertexai/langchain_google_vertexai/functions_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/functions_utils.py
@@ -274,7 +274,7 @@ def _format_to_gapic_tool(tools: _ToolsType) -> gapic.Tool:
                 " or mixing with function_declarations is not supported"
             )
         if isinstance(tool, (gapic.Tool, vertexai.Tool)):
-            rt = (
+            rt: gapic.Tool = (
                 tool if isinstance(tool, gapic.Tool) else tool._raw_tool  # type: ignore
             )
             if "retrieval" in rt:
diff --git a/libs/vertexai/poetry.lock b/libs/vertexai/poetry.lock
index d642924c..bccb8459 100644
--- a/libs/vertexai/poetry.lock
+++ b/libs/vertexai/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -13,102 +13,102 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.9"
+version = "3.10.10"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohttp-3.10.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8b3fb28a9ac8f2558760d8e637dbf27aef1e8b7f1d221e8669a1074d1a266bb2"},
-    {file = "aiohttp-3.10.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91aa966858593f64c8a65cdefa3d6dc8fe3c2768b159da84c1ddbbb2c01ab4ef"},
-    {file = "aiohttp-3.10.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:63649309da83277f06a15bbdc2a54fbe75efb92caa2c25bb57ca37762789c746"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3e7fabedb3fe06933f47f1538df7b3a8d78e13d7167195f51ca47ee12690373"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5c070430fda1a550a1c3a4c2d7281d3b8cfc0c6715f616e40e3332201a253067"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:51d0a4901b27272ae54e42067bc4b9a90e619a690b4dc43ea5950eb3070afc32"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fec5fac7aea6c060f317f07494961236434928e6f4374e170ef50b3001e14581"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:172ad884bb61ad31ed7beed8be776eb17e7fb423f1c1be836d5cb357a096bf12"},
-    {file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d646fdd74c25bbdd4a055414f0fe32896c400f38ffbdfc78c68e62812a9e0257"},
-    {file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e86260b76786c28acf0b5fe31c8dca4c2add95098c709b11e8c35b424ebd4f5b"},
-    {file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:c7d7cafc11d70fdd8801abfc2ff276744ae4cb39d8060b6b542c7e44e5f2cfc2"},
-    {file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:fc262c3df78c8ff6020c782d9ce02e4bcffe4900ad71c0ecdad59943cba54442"},
-    {file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:482c85cf3d429844396d939b22bc2a03849cb9ad33344689ad1c85697bcba33a"},
-    {file = "aiohttp-3.10.9-cp310-cp310-win32.whl", hash = "sha256:aeebd3061f6f1747c011e1d0b0b5f04f9f54ad1a2ca183e687e7277bef2e0da2"},
-    {file = "aiohttp-3.10.9-cp310-cp310-win_amd64.whl", hash = "sha256:fa430b871220dc62572cef9c69b41e0d70fcb9d486a4a207a5de4c1f25d82593"},
-    {file = "aiohttp-3.10.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:16e6a51d8bc96b77f04a6764b4ad03eeef43baa32014fce71e882bd71302c7e4"},
-    {file = "aiohttp-3.10.9-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8bd9125dd0cc8ebd84bff2be64b10fdba7dc6fd7be431b5eaf67723557de3a31"},
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 [package.dependencies]
@@ -150,13 +150,13 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.35.0"
+version = "0.37.1"
 description = "The official Python library for the anthropic API"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -175,13 +175,13 @@ vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.6.0"
+version = "4.6.2.post1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -192,7 +192,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
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-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
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 [[package]]
 name = "charset-normalizer"
-version = "3.3.2"
+version = "3.4.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
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 [[package]]
@@ -442,99 +457,114 @@ python-dateutil = ">=2.7"
 
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+    {file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"},
 ]
 
 [[package]]
 name = "fsspec"
-version = "2024.9.0"
+version = "2024.10.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"},
-    {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"},
+    {file = "fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871"},
+    {file = "fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493"},
 ]
 
 [package.extras]
@@ -567,13 +597,13 @@ tqdm = ["tqdm"]
 
 [[package]]
 name = "google-api-core"
-version = "2.20.0"
+version = "2.22.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google_api_core-2.20.0-py3-none-any.whl", hash = "sha256:ef0591ef03c30bb83f79b3d0575c3f31219001fc9c5cf37024d08310aeffed8a"},
-    {file = "google_api_core-2.20.0.tar.gz", hash = "sha256:f74dff1889ba291a4b76c5079df0711810e2d9da81abfdc99957bc961c1eb28f"},
+    {file = "google_api_core-2.22.0-py3-none-any.whl", hash = "sha256:a6652b6bd51303902494998626653671703c420f6f4c88cfd3f50ed723e9d021"},
+    {file = "google_api_core-2.22.0.tar.gz", hash = "sha256:26f8d76b96477db42b55fd02a33aae4a42ec8b86b98b94969b7333a2c828bf35"},
 ]
 
 [package.dependencies]
@@ -587,24 +617,28 @@ grpcio-status = [
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
-proto-plus = ">=1.22.3,<2.0.0dev"
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""},
+    {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""},
+]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
+async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
 grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.147.0"
+version = "2.149.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google_api_python_client-2.147.0-py2.py3-none-any.whl", hash = "sha256:c6ecfa193c695baa41e84562d8f8f244fcd164419eca3fc9fd7565646668f9b2"},
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+    {file = "google_api_python_client-2.149.0-py2.py3-none-any.whl", hash = "sha256:1a5232e9cfed8c201799d9327e4d44dc7ea7daa3c6e1627fca41aa201539c0da"},
+    {file = "google_api_python_client-2.149.0.tar.gz", hash = "sha256:b9d68c6b14ec72580d66001bd33c5816b78e2134b93ccc5cf8f624516b561750"},
 ]
 
 [package.dependencies]
@@ -654,13 +688,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.69.0"
+version = "1.70.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.69.0.tar.gz", hash = "sha256:08be3a4432fd87d9cc86db83ba626f988d13597197bc53c6808e1c4c65a25bb0"},
-    {file = "google_cloud_aiplatform-1.69.0-py2.py3-none-any.whl", hash = "sha256:6e21c29bf4506ed3bfb00cfe47ab1ad1788854b18f0ded2458016837c917e520"},
+    {file = "google-cloud-aiplatform-1.70.0.tar.gz", hash = "sha256:e8edef6dbc7911380d0ea55c47544e799f62b891cb1a83b504ca1c09fff9884b"},
+    {file = "google_cloud_aiplatform-1.70.0-py2.py3-none-any.whl", hash = "sha256:690e6041f03d3aa85102ac3f316c958d6f43a99aefb7fb3f8938dee56d08abd9"},
 ]
 
 [package.dependencies]
@@ -690,8 +724,8 @@ metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
 pipelines = ["pyyaml (>=5.3.1,<7)"]
 prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.114.0)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
 private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
-ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "setuptools (<70.0.0)"]
-ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train]", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
+ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "setuptools (<70.0.0)"]
+ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train]", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
 reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
 tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
 testing = ["bigframes", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
@@ -774,20 +808,23 @@ libcst = ["libcst (>=0.2.5)"]
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.12.5"
+version = "1.13.0"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
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 google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
-proto-plus = ">=1.22.3,<2.0.0dev"
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""},
+    {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""},
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 protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
 
 [[package]]
@@ -992,85 +1029,85 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 
 [[package]]
 name = "grpcio"
-version = "1.66.2"
+version = "1.67.0"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 protobuf = ">=5.26.1,<6.0dev"
 
 [[package]]
@@ -1157,13 +1194,13 @@ files = [
 
 [[package]]
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 [package.dependencies]
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 typing-extensions = ">=3.7.4.3"
 
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+quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
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 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
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 ]
 
 [[package]]
@@ -1323,7 +1360,7 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.3.2"
+version = "0.3.4"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -1333,7 +1370,7 @@ develop = false
 [package.dependencies]
 aiohttp = "^3.8.3"
 async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
-langchain-core = "^0.3.8"
+langchain-core = "^0.3.12"
 langchain-text-splitters = "^0.3.0"
 langsmith = "^0.1.17"
 numpy = [
@@ -1344,18 +1381,18 @@ pydantic = "^2.7.4"
 PyYAML = ">=5.3"
 requests = "^2"
 SQLAlchemy = ">=1.4,<3"
-tenacity = "^8.1.0,!=8.4.0"
+tenacity = ">=8.1.0,!=8.4.0,<10"
 
 [package.source]
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "07dd8dd3d7044c3b677343848aa3a37721c92d2e"
+resolved_reference = "ede953d617f8fe8ecf6638b0afe10df8570d75f8"
 subdirectory = "libs/langchain"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.9"
+version = "0.3.13"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -1371,14 +1408,14 @@ pydantic = [
     {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
 ]
 PyYAML = ">=5.3"
-tenacity = "^8.1.0,!=8.4.0"
+tenacity = ">=8.1.0,!=8.4.0,<10.0.0"
 typing-extensions = ">=4.7"
 
 [package.source]
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "07dd8dd3d7044c3b677343848aa3a37721c92d2e"
+resolved_reference = "ede953d617f8fe8ecf6638b0afe10df8570d75f8"
 subdirectory = "libs/core"
 
 [[package]]
@@ -1401,7 +1438,7 @@ tokenizers = ">=0.15.1,<1"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "07dd8dd3d7044c3b677343848aa3a37721c92d2e"
+resolved_reference = "ede953d617f8fe8ecf6638b0afe10df8570d75f8"
 subdirectory = "libs/partners/mistralai"
 
 [[package]]
@@ -1423,7 +1460,7 @@ syrupy = "^4"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "07dd8dd3d7044c3b677343848aa3a37721c92d2e"
+resolved_reference = "ede953d617f8fe8ecf6638b0afe10df8570d75f8"
 subdirectory = "libs/standard-tests"
 
 [[package]]
@@ -1442,13 +1479,13 @@ langchain-core = ">=0.3.0,<0.4.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.131"
+version = "0.1.137"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -1567,38 +1604,43 @@ typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
 [[package]]
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 description = "Optional static typing for Python"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -1608,6 +1650,7 @@ typing-extensions = ">=4.6.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
+faster-cache = ["orjson"]
 install-types = ["pip"]
 mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
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 testing = ["pytest", "pytest-benchmark"]
 
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 [package.dependencies]
@@ -2372,7 +2531,7 @@ aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
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 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
 mssql-pyodbc = ["pyodbc"]
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+    {file = "yarl-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:7d7aaa8ff95d0840e289423e7dc35696c2b058d635f945bf05b5cd633146b027"},
+    {file = "yarl-1.16.0-py3-none-any.whl", hash = "sha256:e6980a558d8461230c457218bd6c92dfc1d10205548215c2c21d79dc8d0a96f3"},
+    {file = "yarl-1.16.0.tar.gz", hash = "sha256:b6f687ced5510a9a2474bbae96a4352e5ace5fa34dc44a217b0537fec1db00b4"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.0"
 
 [extras]
 anthropic = ["anthropic"]
@@ -2797,4 +2947,4 @@ mistral = ["langchain-mistralai"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "176b5ccdaa76e0681b89998e2dc5e049238f413b4704505cd19285d40252f80e"
+content-hash = "9ea701b360b51312265ae6ba48fbeb13e09b53f0d3ce13b149d8fbcc39f46b5e"
diff --git a/libs/vertexai/pyproject.toml b/libs/vertexai/pyproject.toml
index 202bbf62..d4bad287 100644
--- a/libs/vertexai/pyproject.toml
+++ b/libs/vertexai/pyproject.toml
@@ -12,8 +12,8 @@ license = "MIT"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
-langchain-core = ">=0.3.0,<0.4"
-google-cloud-aiplatform = "^1.69.0"
+langchain-core = ">=0.3.13,<0.4"
+google-cloud-aiplatform = "^1.70.0"
 google-cloud-storage = "^2.18.0"
 # optional dependencies
 anthropic = { extras = ["vertexai"], version = ">=0.35.0,<1", optional = true }
diff --git a/libs/vertexai/tests/integration_tests/test_chat_models.py b/libs/vertexai/tests/integration_tests/test_chat_models.py
index 6e9c554b..82d56936 100644
--- a/libs/vertexai/tests/integration_tests/test_chat_models.py
+++ b/libs/vertexai/tests/integration_tests/test_chat_models.py
@@ -1110,3 +1110,13 @@ def test_multimodal_pdf_input_b64(multimodal_pdf_chain: RunnableSerializable) ->
         image = f"data:application/pdf;base64,{image_data}"
         response = multimodal_pdf_chain.invoke(dict(image=image))
         assert isinstance(response, AIMessage)
+
+
+@pytest.mark.release
+def test_logprobs() -> None:
+    llm = ChatVertexAI(model="gemini-1.5-flash", logprobs=True)
+    msg = llm.invoke("how are you")
+    assert msg.response_metadata["logprobs_result"]["chosen_candidates"]
+
+    msg = llm.invoke("how are you", logprobs=2)
+    assert msg.response_metadata["logprobs_result"]["top_candidates"]

From f66cfa1fa83327d913bfbc473f2d5d3bc7e850b8 Mon Sep 17 00:00:00 2001
From: ThibaultScalbert <163286022+ThibaultScalbert@users.noreply.github.com>
Date: Tue, 29 Oct 2024 14:33:53 +0100
Subject: [PATCH 10/49] community: add custom embedding functionality to
 VertexAISearchRetriever (#567)

---
 .../vertex_ai_search.py                       |  61 ++++++++++-
 .../tests/unit_tests/test_vertex_ai_search.py | 102 ++++++++++++++++++
 2 files changed, 162 insertions(+), 1 deletion(-)

diff --git a/libs/community/langchain_google_community/vertex_ai_search.py b/libs/community/langchain_google_community/vertex_ai_search.py
index 1edda669..29a9e3c1 100644
--- a/libs/community/langchain_google_community/vertex_ai_search.py
+++ b/libs/community/langchain_google_community/vertex_ai_search.py
@@ -4,7 +4,6 @@
 export PROJECT_ID=... - set to your Google Cloud project ID
 export DATA_STORE_ID=... - the ID of the search engine to use for the test
 """
-
 from __future__ import annotations
 
 import json
@@ -16,6 +15,7 @@
 from google.protobuf.json_format import MessageToDict
 from langchain_core.callbacks import CallbackManagerForRetrieverRun
 from langchain_core.documents import Document
+from langchain_core.embeddings import Embeddings
 from langchain_core.load import Serializable, load
 from langchain_core.retrievers import BaseRetriever
 from langchain_core.tools import BaseTool
@@ -279,6 +279,23 @@ class VertexAISearchRetriever(BaseRetriever, _BaseVertexAISearchRetriever):
     https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results
     https://cloud.google.com/generative-ai-app-builder/docs/reference/rest/v1beta/BoostSpec
     """
+    custom_embedding: Optional[Embeddings] = None
+    """Custom embedding model for the retriever. (Bring your own embedding)
+    It needs to match the embedding model that was used to embed docs in the datastore.
+    It needs to be a langchain embedding VertexAIEmbeddings(project="{PROJECT}")
+    If you provide an embedding model, you also need to provide a ranking_expression and
+    a custom_embedding_field_path.
+    https://cloud.google.com/generative-ai-app-builder/docs/bring-embeddings
+    """
+    custom_embedding_field_path: Optional[str] = None
+    """ The field path for the custom embedding used in the Vertex AI datastore schema.
+    """
+    custom_embedding_ratio: Optional[float] = 0.0
+    """Controls the ranking of results. Value should be between 0 and 1.
+    It will generate the ranking_expression in the following manner:
+    "{custom_embedding_ratio} * dotProduct({custom_embedding_field_path}) +
+    {1 - custom_embedding_ratio} * relevance_score"
+    """
 
     _client: SearchServiceClient = PrivateAttr()
     _serving_config: str = PrivateAttr()
@@ -384,6 +401,46 @@ def _create_search_request(self, query: str) -> SearchRequest:
         else:
             content_search_spec = None
 
+        if (
+            self.custom_embedding is not None
+            or self.custom_embedding_field_path is not None
+        ):
+            if self.custom_embedding is None:
+                raise ValueError(
+                    "Please provide a custom embedding model if you provide a "
+                    "custom_embedding_field_path."
+                )
+            if self.custom_embedding_field_path is None:
+                raise ValueError(
+                    "Please provide a custom_embedding_field_path if you provide a "
+                    "custom embedding model."
+                )
+            if self.custom_embedding_ratio is None:
+                raise ValueError(
+                    "Please provide a custom_embedding_ratio if you provide a "
+                    "custom embedding model or a custom_embedding_field_path."
+                )
+            if not 0 <= self.custom_embedding_ratio <= 1:
+                raise ValueError(
+                    "Custom embedding ratio must be between 0 and 1 "
+                    f"when using custom embeddings. Got {self.custom_embedding_ratio}"
+                )
+            embedding_vector = SearchRequest.EmbeddingSpec.EmbeddingVector(
+                field_path=self.custom_embedding_field_path,
+                vector=self.custom_embedding.embed_query(query),
+            )
+            embedding_spec = SearchRequest.EmbeddingSpec(
+                embedding_vectors=[embedding_vector]
+            )
+            ranking_expression = (
+                f"{self.custom_embedding_ratio} * "
+                f"dotProduct({self.custom_embedding_field_path}) + "
+                f"{1 - self.custom_embedding_ratio} * relevance_score"
+            )
+        else:
+            embedding_spec = None
+            ranking_expression = None
+
         return SearchRequest(
             query=query,
             filter=self.filter,
@@ -397,6 +454,8 @@ def _create_search_request(self, query: str) -> SearchRequest:
             boost_spec=SearchRequest.BoostSpec(**self.boost_spec)
             if self.boost_spec
             else None,
+            embedding_spec=embedding_spec,
+            ranking_expression=ranking_expression,
         )
 
     def _get_relevant_documents(
diff --git a/libs/community/tests/unit_tests/test_vertex_ai_search.py b/libs/community/tests/unit_tests/test_vertex_ai_search.py
index 8efb37f1..a3c4af88 100644
--- a/libs/community/tests/unit_tests/test_vertex_ai_search.py
+++ b/libs/community/tests/unit_tests/test_vertex_ai_search.py
@@ -5,6 +5,7 @@
 from google.auth import credentials as ga_credentials
 from google.cloud.discoveryengine_v1beta import Document as DiscoveryEngineDocument
 from google.cloud.discoveryengine_v1beta.types import SearchRequest, SearchResponse
+from langchain_core.embeddings import FakeEmbeddings
 
 from langchain_google_community.vertex_ai_search import VertexAISearchRetriever
 
@@ -313,3 +314,104 @@ def test_convert_unstructured_search_response_extractive_answers(
         assert "relevance_score" not in documents[1].metadata
         assert "previous_segments" not in documents[1].metadata
         assert "next_segments" not in documents[1].metadata
+
+
+def test_custom_embedding_with_valid_values() -> None:
+    """
+    Test with a valid custom embedding model and field path.
+    """
+    # Mock the SearchServiceClient to avoid real network calls
+    with mock.patch(
+        "google.cloud.discoveryengine_v1beta.SearchServiceClient"
+    ) as mock_client_class:
+        mock_client = mock_client_class.return_value
+        mock_client.serving_config_path.return_value = "serving_config_value"
+        embeddings = FakeEmbeddings(size=100)
+
+        retriever = VertexAISearchRetriever(
+            project_id="project_id_value",
+            data_store_id="data_store_id_value",
+            location_id="location_id_value",
+            serving_config_id="serving_config_id_value",
+            credentials=ga_credentials.AnonymousCredentials(),
+            filter="filter_value",
+            order_by="title desc",
+            canonical_filter="true",
+            custom_embedding=embeddings,
+            custom_embedding_field_path="embedding_field",
+            custom_embedding_ratio=0.5,
+        )
+
+        # Assert that serving_config_path was called with the correct arguments
+        mock_client.serving_config_path.assert_called_once_with(
+            project="project_id_value",
+            location="location_id_value",
+            data_store="data_store_id_value",
+            serving_config="serving_config_id_value",
+        )
+
+        search_request = retriever._create_search_request(query="query_value")
+        assert search_request.embedding_spec is not None
+        assert search_request.ranking_expression == (
+            "0.5 * dotProduct(embedding_field) + 0.5 * relevance_score"
+        )
+
+
+def test_custom_embedding_with_invalid_ratio() -> None:
+    """
+    Test with an invalid custom embedding ratio.
+    """
+    with mock.patch(
+        "google.cloud.discoveryengine_v1beta.SearchServiceClient"
+    ) as mock_client_class:
+        mock_client = mock_client_class.return_value
+        mock_client.serving_config_path.return_value = "serving_config_value"
+        embeddings = FakeEmbeddings(size=100)
+        retriever = VertexAISearchRetriever(
+            project_id="mock-project",
+            data_store_id="mock-data-store",
+            custom_embedding=embeddings,
+            custom_embedding_field_path="embedding_field",
+            custom_embedding_ratio=1.5,  # Invalid ratio
+        )
+        with pytest.raises(ValueError):
+            retriever._create_search_request(query="query_value")
+
+
+def test_custom_embedding_with_missing_field_path() -> None:
+    """
+    Test with a missing custom embedding field path.
+    """
+    with mock.patch(
+        "google.cloud.discoveryengine_v1beta.SearchServiceClient"
+    ) as mock_client_class:
+        mock_client = mock_client_class.return_value
+        mock_client.serving_config_path.return_value = "serving_config_value"
+        embeddings = FakeEmbeddings(size=100)
+        retriever = VertexAISearchRetriever(
+            project_id="mock-project",
+            data_store_id="mock-data-store",
+            custom_embedding=embeddings,
+            custom_embedding_ratio=0.5,  # Invalid ratio
+        )
+        with pytest.raises(ValueError):
+            retriever._create_search_request(query="query_value")
+
+
+def test_custom_embedding_with_missing_model() -> None:
+    """
+    Test with a missing custom embedding model.
+    """
+    with mock.patch(
+        "google.cloud.discoveryengine_v1beta.SearchServiceClient"
+    ) as mock_client_class:
+        mock_client = mock_client_class.return_value
+        mock_client.serving_config_path.return_value = "serving_config_value"
+        retriever = VertexAISearchRetriever(
+            project_id="mock-project",
+            data_store_id="mock-data-store",
+            custom_embedding_field_path="embedding_field",
+            custom_embedding_ratio=0.5,  # Invalid ratio
+        )
+        with pytest.raises(ValueError):
+            retriever._create_search_request(query="query_value")

From 533aeaf17d09f341523d142e58aa6386e1210cf4 Mon Sep 17 00:00:00 2001
From: lspataroG <167472995+lspataroG@users.noreply.github.com>
Date: Tue, 29 Oct 2024 14:34:44 +0100
Subject: [PATCH 11/49] [vertexai] Fix Datastore error on indexing large fields
 (#558)

---
 .../vectorstores/document_storage.py                        | 6 +++++-
 .../langchain_google_vertexai/vectorstores/vectorstores.py  | 5 +++++
 2 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py b/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py
index ad2061bd..27e9e5ab 100644
--- a/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py
+++ b/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py
@@ -234,6 +234,7 @@ def __init__(
         kind: str = "document_id",
         text_property_name: str = "text",
         metadata_property_name: str = "metadata",
+        exclude_from_indexes: Optional[List[str]] = None,
     ) -> None:
         """Constructor.
         Args:
@@ -244,6 +245,7 @@ def __init__(
         self._client = datastore_client
         self._text_property_name = text_property_name
         self._metadata_property_name = metadata_property_name
+        self.exclude_from_indexes = exclude_from_indexes
         self._kind = kind
 
     def mget(self, keys: Sequence[str]) -> List[Optional[Document]]:
@@ -289,7 +291,9 @@ def mset(self, key_value_pairs: Sequence[Tuple[str, Document]]) -> None:
 
             entities = []
             for key, document in zip(keys, documents):
-                entity = self._client.entity(key=key)
+                entity = self._client.entity(
+                    key=key, exclude_from_indexes=self.exclude_from_indexes
+                )
                 entity[self._text_property_name] = document.page_content
                 entity[self._metadata_property_name] = document.metadata
                 entities.append(entity)
diff --git a/libs/vertexai/langchain_google_vertexai/vectorstores/vectorstores.py b/libs/vertexai/langchain_google_vertexai/vectorstores/vectorstores.py
index e9c49734..5c83caa2 100644
--- a/libs/vertexai/langchain_google_vertexai/vectorstores/vectorstores.py
+++ b/libs/vertexai/langchain_google_vertexai/vectorstores/vectorstores.py
@@ -375,6 +375,7 @@ def from_components(
         embedding: Optional[Embeddings] = None,
         stream_update: bool = False,
         datastore_client_kwargs: Optional[Dict[str, Any]] = None,
+        exclude_from_indexes: Optional[List[str]] = None,
         datastore_kind: str = "document_id",
         datastore_text_property_name: str = "text",
         datastore_metadata_property_name: str = "metadata",
@@ -399,6 +400,7 @@ def from_components(
                 index must be compatible with stream/batch updates.
             kwargs: Additional keyword arguments to pass to
                 VertexAIVectorSearch.__init__().
+            exclude_from_indexes: Fields to exclude from datastore indexing
 
         Returns:
             A configured VectorSearchVectorStoreDatastore.
@@ -425,11 +427,14 @@ def from_components(
 
         datastore_client = sdk_manager.get_datastore_client(**datastore_client_kwargs)
 
+        if exclude_from_indexes is None:
+            exclude_from_indexes = []
         document_storage = DataStoreDocumentStorage(
             datastore_client=datastore_client,
             kind=datastore_kind,
             text_property_name=datastore_text_property_name,
             metadata_property_name=datastore_metadata_property_name,
+            exclude_from_indexes=exclude_from_indexes,
         )
 
         return cls(

From f5a49f2a2a47b72862edd14efd71952037f83f46 Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Tue, 29 Oct 2024 10:27:44 -0700
Subject: [PATCH 12/49] fmt

---
 .../_genai_extension.py                       |  2 +-
 .../langchain_google_genai/chat_models.py     | 29 ++++++++++++-------
 2 files changed, 19 insertions(+), 12 deletions(-)

diff --git a/libs/genai/langchain_google_genai/_genai_extension.py b/libs/genai/langchain_google_genai/_genai_extension.py
index 071e481b..f7b39163 100644
--- a/libs/genai/langchain_google_genai/_genai_extension.py
+++ b/libs/genai/langchain_google_genai/_genai_extension.py
@@ -238,7 +238,7 @@ def _prepare_config(
     client_info: Optional[gapic_v1.client_info.ClientInfo] = None,
     transport: Optional[str] = None,
 ) -> Dict[str, Any]:
-    formatted_client_options = {"api_endpoint": _config.api_endpoint}
+    formatted_client_options: dict = {"api_endpoint": _config.api_endpoint}
     if client_options:
         formatted_client_options.update(**client_options)
     if not credentials and api_key:
diff --git a/libs/genai/langchain_google_genai/chat_models.py b/libs/genai/langchain_google_genai/chat_models.py
index d07e292a..76c222a9 100644
--- a/libs/genai/langchain_google_genai/chat_models.py
+++ b/libs/genai/langchain_google_genai/chat_models.py
@@ -610,12 +610,17 @@ def _response_to_result(
         ]
         message = _parse_response_candidate(candidate, streaming=stream)
         message.usage_metadata = lc_usage
-        generations.append(
-            (ChatGenerationChunk if stream else ChatGeneration)(
-                message=message,
-                generation_info=generation_info,
+        if stream:
+            generations.append(
+                ChatGenerationChunk(
+                    message=cast(AIMessageChunk, message),
+                    generation_info=generation_info,
+                )
+            )
+        else:
+            generations.append(
+                ChatGeneration(message=message, generation_info=generation_info)
             )
-        )
     if not response.candidates:
         # Likely a "prompt feedback" violation (e.g., toxic input)
         # Raising an error would be different than how OpenAI handles it,
@@ -624,12 +629,14 @@ def _response_to_result(
             "Gemini produced an empty response. Continuing with empty message\n"
             f"Feedback: {response.prompt_feedback}"
         )
-        generations = [
-            (ChatGenerationChunk if stream else ChatGeneration)(
-                message=(AIMessageChunk if stream else AIMessage)(content=""),
-                generation_info={},
-            )
-        ]
+        if stream:
+            generations = [
+                ChatGenerationChunk(
+                    message=AIMessageChunk(content=""), generation_info={}
+                )
+            ]
+        else:
+            generations = [ChatGeneration(message=AIMessage(""), generation_info={})]
     return ChatResult(generations=generations, llm_output=llm_output)
 
 

From 431409a11146dbfefb5b3edf47616ca6a1cce6d6 Mon Sep 17 00:00:00 2001
From: Roman Mazyrin <52980260+RomanMazyrin@users.noreply.github.com>
Date: Tue, 29 Oct 2024 21:08:36 +0300
Subject: [PATCH 13/49] Update _function_utils.py (#575)

Removed forgotten "print" statement.
---
 libs/genai/langchain_google_genai/_function_utils.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/libs/genai/langchain_google_genai/_function_utils.py b/libs/genai/langchain_google_genai/_function_utils.py
index faf7c5f5..e187577f 100644
--- a/libs/genai/langchain_google_genai/_function_utils.py
+++ b/libs/genai/langchain_google_genai/_function_utils.py
@@ -132,7 +132,6 @@ def _dict_to_gapic_schema(schema: Dict[str, Any]) -> Optional[gapic.Schema]:
 def _format_dict_to_function_declaration(
     tool: Union[FunctionDescription, Dict[str, Any]],
 ) -> gapic.FunctionDeclaration:
-    print(tool)
     return gapic.FunctionDeclaration(
         name=tool.get("name") or tool.get("title"),
         description=tool.get("description"),

From 6aa6686ab0d8b97064c38f0d6acffd615d2796a4 Mon Sep 17 00:00:00 2001
From: Pablo Fraile Alonso <github@pablofraile.net>
Date: Tue, 29 Oct 2024 20:28:31 +0100
Subject: [PATCH 14/49] feat: add vertex vector search datapoints deletion with
 metadata filters support (#559)

---
 .../vectorstores/_searcher.py                 | 43 +++++++++++++++++++
 .../vectorstores/vectorstores.py              | 32 ++++++++++++++
 2 files changed, 75 insertions(+)

diff --git a/libs/vertexai/langchain_google_vertexai/vectorstores/_searcher.py b/libs/vertexai/langchain_google_vertexai/vectorstores/_searcher.py
index eefb45f4..141b3fbf 100644
--- a/libs/vertexai/langchain_google_vertexai/vectorstores/_searcher.py
+++ b/libs/vertexai/langchain_google_vertexai/vectorstores/_searcher.py
@@ -20,6 +20,8 @@
     to_data_points,
 )
 
+MAX_DATA_POINTS = 10000
+
 
 class Searcher(ABC):
     """Abstract implementation of a similarity searcher."""
@@ -60,6 +62,22 @@ def add_to_index(
         """
         raise NotImplementedError()
 
+    @abstractmethod
+    def remove_datapoints(
+        self,
+        datapoint_ids: List[str],
+        **kwargs: Any,
+    ) -> None:
+        raise NotImplementedError()
+
+    @abstractmethod
+    def get_datapoints_by_filter(
+        self,
+        metadata: dict,
+        max_datapoints: int = MAX_DATA_POINTS,
+    ) -> List[str]:
+        raise NotImplementedError()
+
     def _postprocess_response(
         self, response: List[List[MatchNeighbor]]
     ) -> List[List[Tuple[str, float]]]:
@@ -105,6 +123,31 @@ def __init__(
         self._staging_bucket = staging_bucket
         self._stream_update = stream_update
 
+    def get_datapoints_by_filter(
+        self,
+        metadata: dict,
+        max_datapoints: int = MAX_DATA_POINTS,
+    ) -> List[str]:
+        """Gets all the datapoints matching the metadata filters (text only)
+        on the specified deployed index.
+        """
+        index_config = self._index.to_dict()["metadata"]["config"]
+        embeddings = [[0.0] * int(index_config.get("dimensions", 1))]
+        filter_ = [
+            Namespace(name=key, allow_tokens=[value]) for key, value in metadata.items()
+        ]
+        neighbors = self.find_neighbors(
+            embeddings=embeddings, k=max_datapoints, filter_=filter_
+        )
+        return [_id for (_id, _) in neighbors[0]] if neighbors else []
+
+    def remove_datapoints(
+        self,
+        datapoint_ids: List[str],
+        **kwargs: Any,
+    ) -> None:
+        self._index.remove_datapoints(datapoint_ids=datapoint_ids)
+
     def add_to_index(
         self,
         ids: List[str],
diff --git a/libs/vertexai/langchain_google_vertexai/vectorstores/vectorstores.py b/libs/vertexai/langchain_google_vertexai/vectorstores/vectorstores.py
index 5c83caa2..face1da4 100644
--- a/libs/vertexai/langchain_google_vertexai/vectorstores/vectorstores.py
+++ b/libs/vertexai/langchain_google_vertexai/vectorstores/vectorstores.py
@@ -119,6 +119,8 @@ def similarity_search_by_vector_with_score(
         neighbors_list = self._searcher.find_neighbors(
             embeddings=[embedding], k=k, filter_=filter, numeric_filter=numeric_filter
         )
+        if not neighbors_list:
+            return []
 
         keys = [key for key, _ in neighbors_list[0]]
         distances = [distance for _, distance in neighbors_list[0]]
@@ -134,6 +136,36 @@ def similarity_search_by_vector_with_score(
             message = f"Documents with ids: {missing_docs} not found in the storage"
             raise ValueError(message)
 
+    def delete(self, ids: Optional[List[str]] = None, **kwargs: Any) -> Optional[bool]:
+        """
+        Delete by vector ID.
+        Args:
+            ids (Optional[List[str]]): List of ids to delete.
+            **kwargs (Any): If added metadata={}, deletes the documents
+            that match the metadata filter and the parameter ids is not needed.
+        Returns:
+            Optional[bool]: True if deletion is successful.
+        Raises:
+            ValueError: If ids is None or an empty list.
+            RuntimeError: If an error occurs during the deletion process.
+        """
+        metadata = kwargs.get("metadata")
+        if (not ids and not metadata) or (ids and metadata):
+            raise ValueError(
+                "You should provide ids (as list of id's) or a metadata"
+                "filter for deleting documents."
+            )
+        if metadata:
+            ids = self._searcher.get_datapoints_by_filter(metadata=metadata)
+            if not ids:
+                return False
+        try:
+            self._searcher.remove_datapoints(datapoint_ids=ids)  # type: ignore[arg-type]
+            self._document_storage.mdelete(ids)  # type: ignore[arg-type]
+            return True
+        except Exception as e:
+            raise RuntimeError(f"Error during deletion: {str(e)}") from e
+
     def similarity_search(
         self,
         query: str,

From 4f37facabb2ec9946940742e7b6458b63f48c3af Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Tue, 29 Oct 2024 12:29:03 -0700
Subject: [PATCH 15/49] vertexai[patch]: Release 2.0.6 (#577)

---
 libs/vertexai/poetry.lock                     | 296 +++++++++---------
 libs/vertexai/pyproject.toml                  |   2 +-
 .../integration_tests/test_chat_models.py     |   4 +-
 3 files changed, 151 insertions(+), 151 deletions(-)

diff --git a/libs/vertexai/poetry.lock b/libs/vertexai/poetry.lock
index bccb8459..6249796a 100644
--- a/libs/vertexai/poetry.lock
+++ b/libs/vertexai/poetry.lock
@@ -1029,85 +1029,85 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 
 [[package]]
 name = "grpcio"
-version = "1.67.0"
+version = "1.67.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "grpcio-1.67.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:bd79929b3bb96b54df1296cd3bf4d2b770bd1df6c2bdf549b49bab286b925cdc"},
-    {file = "grpcio-1.67.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:16724ffc956ea42967f5758c2f043faef43cb7e48a51948ab593570570d1e68b"},
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-    {file = "grpcio-1.67.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:efe32b45dd6d118f5ea2e5deaed417d8a14976325c93812dd831908522b402c9"},
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 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.67.0)"]
+protobuf = ["grpcio-tools (>=1.67.1)"]
 
 [[package]]
 name = "grpcio-status"
-version = "1.67.0"
+version = "1.67.1"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.67.0"
+grpcio = ">=1.67.1"
 protobuf = ">=5.26.1,<6.0dev"
 
 [[package]]
@@ -1387,7 +1387,7 @@ tenacity = ">=8.1.0,!=8.4.0,<10"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "ede953d617f8fe8ecf6638b0afe10df8570d75f8"
+resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
 subdirectory = "libs/langchain"
 
 [[package]]
@@ -1415,7 +1415,7 @@ typing-extensions = ">=4.7"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "ede953d617f8fe8ecf6638b0afe10df8570d75f8"
+resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
 subdirectory = "libs/core"
 
 [[package]]
@@ -1438,7 +1438,7 @@ tokenizers = ">=0.15.1,<1"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "ede953d617f8fe8ecf6638b0afe10df8570d75f8"
+resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
 subdirectory = "libs/partners/mistralai"
 
 [[package]]
@@ -1460,7 +1460,7 @@ syrupy = "^4"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "ede953d617f8fe8ecf6638b0afe10df8570d75f8"
+resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
 subdirectory = "libs/standard-tests"
 
 [[package]]
@@ -2846,93 +2846,93 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "yarl"
-version = "1.16.0"
+version = "1.17.0"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
diff --git a/libs/vertexai/pyproject.toml b/libs/vertexai/pyproject.toml
index d4bad287..ae205b0f 100644
--- a/libs/vertexai/pyproject.toml
+++ b/libs/vertexai/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-vertexai"
-version = "2.0.5"
+version = "2.0.6"
 description = "An integration package connecting Google VertexAI and LangChain"
 authors = []
 readme = "README.md"
diff --git a/libs/vertexai/tests/integration_tests/test_chat_models.py b/libs/vertexai/tests/integration_tests/test_chat_models.py
index 82d56936..ee3195f5 100644
--- a/libs/vertexai/tests/integration_tests/test_chat_models.py
+++ b/libs/vertexai/tests/integration_tests/test_chat_models.py
@@ -302,12 +302,12 @@ def get_climate_info(query: str):
     tools = [get_climate_info]
     agent = agents.create_tool_calling_agent(
         llm=llm,
-        tools=tools,  # type: ignore[arg-type]
+        tools=tools,
         prompt=prompt_template,
     )
     agent_executor = agents.AgentExecutor(  # type: ignore[call-arg]
         agent=agent,
-        tools=tools,  # type: ignore[arg-type]
+        tools=tools,
         verbose=False,
         stream_runnable=False,
     )

From 69d20a2bc282a2c62f1abddd72a4b3f49c7be373 Mon Sep 17 00:00:00 2001
From: Erick Friis <erickfriis@gmail.com>
Date: Tue, 29 Oct 2024 12:42:47 -0700
Subject: [PATCH 16/49] google-genai: release 2.0.3 (#560)

---
 libs/genai/poetry.lock    | 128 +++++++++++++++++++-------------------
 libs/genai/pyproject.toml |  16 ++++-
 2 files changed, 79 insertions(+), 65 deletions(-)

diff --git a/libs/genai/poetry.lock b/libs/genai/poetry.lock
index c4727895..b22616d3 100644
--- a/libs/genai/poetry.lock
+++ b/libs/genai/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -375,85 +375,85 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "grpcio"
-version = "1.67.0"
+version = "1.67.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
 files = [
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 files = [
-    {file = "grpcio_status-1.67.0-py3-none-any.whl", hash = "sha256:0e79e2e01ba41a6ca6ed9d7a825323c511fe1653a646f8014c7e3c8132527acc"},
-    {file = "grpcio_status-1.67.0.tar.gz", hash = "sha256:c3e5a86fa007e9e263cd5f988a8a907484da4caab582874ea2a4a6092734046b"},
+    {file = "grpcio_status-1.67.1-py3-none-any.whl", hash = "sha256:16e6c085950bdacac97c779e6a502ea671232385e6e37f258884d6883392c2bd"},
+    {file = "grpcio_status-1.67.1.tar.gz", hash = "sha256:2bf38395e028ceeecfd8866b081f61628114b384da7d51ae064ddc8d766a5d11"},
 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.67.0"
+grpcio = ">=1.67.1"
 protobuf = ">=5.26.1,<6.0dev"
 
 [[package]]
@@ -602,7 +602,7 @@ typing-extensions = ">=4.7"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "94e5765416037b9b90a27603cfda36cbe86bce71"
+resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
 subdirectory = "libs/core"
 
 [[package]]
@@ -624,7 +624,7 @@ syrupy = "^4"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "94e5765416037b9b90a27603cfda36cbe86bce71"
+resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
 subdirectory = "libs/standard-tests"
 
 [[package]]
diff --git a/libs/genai/pyproject.toml b/libs/genai/pyproject.toml
index 251405ef..9f5b9a72 100644
--- a/libs/genai/pyproject.toml
+++ b/libs/genai/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-genai"
-version = "2.0.2"
+version = "2.0.3"
 description = "An integration package connecting Google's genai package and LangChain"
 authors = []
 readme = "README.md"
@@ -37,12 +37,18 @@ langchain-standard-tests = { git = "https://github.com/langchain-ai/langchain.gi
 [tool.codespell]
 ignore-words-list = "rouge"
 
+
+
+
 [tool.poetry.group.codespell]
 optional = true
 
 [tool.poetry.group.codespell.dependencies]
 codespell = "^2.2.0"
 
+
+
+
 [tool.poetry.group.test_integration]
 optional = true
 
@@ -50,12 +56,17 @@ optional = true
 pillow = "^10.1.0"
 
 
+
+
 [tool.poetry.group.lint]
 optional = true
 
 [tool.poetry.group.lint.dependencies]
 ruff = "^0.1.5"
 
+
+
+
 [tool.poetry.group.typing.dependencies]
 mypy = "^1.10"
 types-requests = "^2.28.11.5"
@@ -65,6 +76,9 @@ types-protobuf = "^4.24.0.20240302"
 langchain-core = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core" }
 numpy = "^1.26.2"
 
+
+
+
 [tool.poetry.group.dev]
 optional = true
 

From 797731eb9dcc6a5e7701c29bb95158b45f26f566 Mon Sep 17 00:00:00 2001
From: Leonid Kuligin <lkuligin@yandex.ru>
Date: Tue, 29 Oct 2024 20:47:58 +0100
Subject: [PATCH 17/49] release community 2.0.2 (#578)

---
 libs/community/pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml
index bebcb4a9..c628b785 100644
--- a/libs/community/pyproject.toml
+++ b/libs/community/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-community"
-version = "2.0.1"
+version = "2.0.2"
 description = "An integration package connecting miscellaneous Google's products and LangChain"
 authors = []
 readme = "README.md"

From 9a14132af06f28ba90a22e23f73ce645520c273d Mon Sep 17 00:00:00 2001
From: Leonid Kuligin <lkuligin@yandex.ru>
Date: Tue, 29 Oct 2024 21:01:57 +0100
Subject: [PATCH 18/49] fixed integration tests (#579)

---
 .../tests/integration_tests/test_embeddings.py        | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/libs/vertexai/tests/integration_tests/test_embeddings.py b/libs/vertexai/tests/integration_tests/test_embeddings.py
index ff94041e..fa1c518b 100644
--- a/libs/vertexai/tests/integration_tests/test_embeddings.py
+++ b/libs/vertexai/tests/integration_tests/test_embeddings.py
@@ -13,6 +13,11 @@
     VertexAIEmbeddings,
 )
 
+_EMBEDDING_MODELS = [
+    ("textembedding-gecko@004", 768),
+    ("multimodalembedding@001", 1408),
+]
+
 
 @pytest.mark.release
 def test_initialization() -> None:
@@ -33,7 +38,7 @@ def test_initialization() -> None:
 )
 @pytest.mark.parametrize(
     "model_name, embeddings_dim",
-    [("textembedding-gecko@001", 768), ("multimodalembedding@001", 1408)],
+    _EMBEDDING_MODELS,
 )
 def test_langchain_google_vertexai_embedding_documents(
     number_of_docs: int, model_name: str, embeddings_dim: int
@@ -51,7 +56,7 @@ def test_langchain_google_vertexai_embedding_documents(
 @pytest.mark.release
 @pytest.mark.parametrize(
     "model_name, embeddings_dim",
-    [("textembedding-gecko@001", 768), ("multimodalembedding@001", 1408)],
+    _EMBEDDING_MODELS,
 )
 def test_langchain_google_vertexai_embedding_query(model_name, embeddings_dim) -> None:
     document = "foo bar"
@@ -95,7 +100,7 @@ def test_langchain_google_vertexai_image_embeddings(
 
 @pytest.mark.release
 def test_langchain_google_vertexai_text_model() -> None:
-    embeddings_model = VertexAIEmbeddings(model_name="textembedding-gecko@001")
+    embeddings_model = VertexAIEmbeddings(model_name="textembedding-gecko@004")
     assert isinstance(embeddings_model.client, TextEmbeddingModel)
     assert embeddings_model.model_type == GoogleEmbeddingModelType.TEXT
 

From 78f9643b20aacc23eb157a5d87607cee55ecea2b Mon Sep 17 00:00:00 2001
From: Leonid Kuligin <lkuligin@yandex.ru>
Date: Tue, 29 Oct 2024 21:27:47 +0100
Subject: [PATCH 19/49] fix integration tests (#581)

---
 .../integration_tests/test_embeddings.py      | 26 ++++---------------
 1 file changed, 5 insertions(+), 21 deletions(-)

diff --git a/libs/vertexai/tests/integration_tests/test_embeddings.py b/libs/vertexai/tests/integration_tests/test_embeddings.py
index fa1c518b..a8c2b6cf 100644
--- a/libs/vertexai/tests/integration_tests/test_embeddings.py
+++ b/libs/vertexai/tests/integration_tests/test_embeddings.py
@@ -14,7 +14,7 @@
 )
 
 _EMBEDDING_MODELS = [
-    ("textembedding-gecko@004", 768),
+    ("text-embedding-004", 768),
     ("multimodalembedding@001", 1408),
 ]
 
@@ -24,11 +24,11 @@ def test_initialization() -> None:
     """Test embedding model initialization."""
     for embeddings in [
         VertexAIEmbeddings(
-            model_name="textembedding-gecko",
+            model_name="text-embedding-004",
         ),
-        VertexAIEmbeddings(model="textembedding-gecko"),
+        VertexAIEmbeddings(model="text-embedding-004"),
     ]:
-        assert embeddings.model_name == "textembedding-gecko"
+        assert embeddings.model_name == "text-embedding-004"
 
 
 @pytest.mark.release
@@ -65,22 +65,6 @@ def test_langchain_google_vertexai_embedding_query(model_name, embeddings_dim) -
     assert len(output) == embeddings_dim
 
 
-@pytest.mark.release
-def test_langchain_google_vertexai_large_batches() -> None:
-    batch_size = 32
-    documents = ["foo bar" for _ in range(batch_size)]
-    model_uscentral1 = VertexAIEmbeddings(
-        model_name="textembedding-gecko@001", location="us-central1"
-    )
-    # model_asianortheast1 = VertexAIEmbeddings(
-    #    model_name="textembedding-gecko@001", location="asia-northeast1"
-    # )
-    model_uscentral1.embed_documents(documents)
-    # model_asianortheast1.embed_documents(documents)
-    assert model_uscentral1.instance["batch_size"] >= batch_size
-    # assert model_asianortheast1.instance["batch_size"] < 50
-
-
 @pytest.mark.release
 @pytest.mark.parametrize(
     "dim, expected_dim",
@@ -100,7 +84,7 @@ def test_langchain_google_vertexai_image_embeddings(
 
 @pytest.mark.release
 def test_langchain_google_vertexai_text_model() -> None:
-    embeddings_model = VertexAIEmbeddings(model_name="textembedding-gecko@004")
+    embeddings_model = VertexAIEmbeddings(model_name="text-embedding-004")
     assert isinstance(embeddings_model.client, TextEmbeddingModel)
     assert embeddings_model.model_type == GoogleEmbeddingModelType.TEXT
 

From 13a938d5671f25b28480fc43b4fe8fe8dc469764 Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 09:56:34 -0700
Subject: [PATCH 20/49] genai[patch]: rm image file load

---
 libs/genai/README.md                          |  1 -
 .../langchain_google_genai/_image_utils.py    | 36 ++++++++-----------
 .../langchain_google_genai/chat_models.py     | 32 -----------------
 3 files changed, 15 insertions(+), 54 deletions(-)

diff --git a/libs/genai/README.md b/libs/genai/README.md
index 101fed80..c4498351 100644
--- a/libs/genai/README.md
+++ b/libs/genai/README.md
@@ -60,7 +60,6 @@ The value of `image_url` can be any of the following:
 
 - A public image URL
 - An accessible gcs file (e.g., "gcs://path/to/file.png")
-- A local file path
 - A base64 encoded image (e.g., `data:image/png;base64,abcd124`)
 - A PIL image
 
diff --git a/libs/genai/langchain_google_genai/_image_utils.py b/libs/genai/langchain_google_genai/_image_utils.py
index f3aabde9..a0baba49 100644
--- a/libs/genai/langchain_google_genai/_image_utils.py
+++ b/libs/genai/langchain_google_genai/_image_utils.py
@@ -25,7 +25,6 @@ class ImageBytesLoader:
 
     Currently supported:
         - B64 Encoded image string
-        - Local file path
         - URL
     """
 
@@ -35,7 +34,6 @@ def load_bytes(self, image_string: str) -> bytes:
         Args:
             image_string: Can be either:
                     - B64 Encoded image string
-                    - Local file path
                     - URL
 
         Returns:
@@ -51,12 +49,17 @@ def load_bytes(self, image_string: str) -> bytes:
             return self._bytes_from_url(image_string)
 
         if route == Route.LOCAL_FILE:
+            raise ValueError(
+                "Loading from local files is no longer supported for security reasons. "
+                "Please pass in images as Google Cloud Storage URI, "
+                "b64 encoded image string (data:image/...), or valid image url."
+            )
             return self._bytes_from_file(image_string)
 
         raise ValueError(
             "Image string must be one of: Google Cloud Storage URI, "
-            "b64 encoded image string (data:image/...), valid image url, "
-            f"or existing local image file. Instead got '{image_string}'."
+            "b64 encoded image string (data:image/...), or valid image url."
+            f"Instead got '{image_string}'."
         )
 
     def load_part(self, image_string: str) -> Part:
@@ -65,7 +68,6 @@ def load_part(self, image_string: str) -> Part:
         Args:
             image_string: Can be either:
                     - B64 Encoded image string
-                    - Local file path
                     - URL
         """
         route = self._route(image_string)
@@ -77,7 +79,12 @@ def load_part(self, image_string: str) -> Part:
             bytes_ = self._bytes_from_url(image_string)
 
         if route == Route.LOCAL_FILE:
-            bytes_ = self._bytes_from_file(image_string)
+            msg = (
+                "Loading from local files is no longer supported for security reasons. "
+                "Please specify images as Google Cloud Storage URI, "
+                "b64 encoded image string (data:image/...), or valid image url."
+            )
+            raise ValueError(msg)
 
         inline_data: Dict[str, Any] = {"data": bytes_}
         mime_type, _ = mimetypes.guess_type(image_string)
@@ -98,8 +105,8 @@ def _route(self, image_string: str) -> Route:
 
         raise ValueError(
             "Image string must be one of: "
-            "b64 encoded image string (data:image/...), valid image url, "
-            f"or existing local image file. Instead got '{image_string}'."
+            "b64 encoded image string (data:image/...) or valid image url."
+            f" Instead got '{image_string}'."
         )
 
     def _bytes_from_b64(self, base64_image: str) -> bytes:
@@ -121,19 +128,6 @@ def _bytes_from_b64(self, base64_image: str) -> bytes:
 
         raise ValueError(f"Error in b64 encoded image. Must follow pattern: {pattern}")
 
-    def _bytes_from_file(self, file_path: str) -> bytes:
-        """Gets image bytes from a local file path.
-
-        Args:
-            file_path: Existing file path.
-
-        Returns:
-            Image bytes
-        """
-        with open(file_path, "rb") as image_file:
-            image_bytes = image_file.read()
-        return image_bytes
-
     def _bytes_from_url(self, url: str) -> bytes:
         """Gets image bytes from a public url.
 
diff --git a/libs/genai/langchain_google_genai/chat_models.py b/libs/genai/langchain_google_genai/chat_models.py
index 76c222a9..6878b352 100644
--- a/libs/genai/langchain_google_genai/chat_models.py
+++ b/libs/genai/langchain_google_genai/chat_models.py
@@ -1,10 +1,8 @@
 from __future__ import annotations
 
 import asyncio
-import base64
 import json
 import logging
-import os
 import uuid
 import warnings
 from io import BytesIO
@@ -30,7 +28,6 @@
 
 # TODO: remove ignore once the google package is published with types
 import proto  # type: ignore[import]
-import requests
 from google.ai.generativelanguage_v1beta import (
     GenerativeServiceAsyncClient as v1betaGenerativeServiceAsyncClient,
 )
@@ -288,35 +285,6 @@ def _load_image_from_gcs(path: str, project: Optional[str] = None) -> Image:
     return PIL.Image.open(BytesIO(img_bytes))
 
 
-def _url_to_pil(image_source: str) -> Image:
-    if PIL is None:
-        raise ImportError(
-            "PIL is required to load images. Please install it "
-            "with `pip install pillow`"
-        )
-    try:
-        if isinstance(image_source, IMAGE_TYPES):
-            return image_source  # type: ignore[return-value]
-        elif _is_url(image_source):
-            if image_source.startswith("gs://"):
-                return _load_image_from_gcs(image_source)
-            response = requests.get(image_source)
-            response.raise_for_status()
-            return PIL.Image.open(BytesIO(response.content))
-        elif _is_b64(image_source):
-            _, encoded = image_source.split(",", 1)
-            data = base64.b64decode(encoded)
-            return PIL.Image.open(BytesIO(data))
-        elif os.path.exists(image_source):
-            return PIL.Image.open(image_source)
-        else:
-            raise ValueError(
-                "The provided string is not a valid URL, base64, or file path."
-            )
-    except Exception as e:
-        raise ValueError(f"Unable to process the provided image source: {e}")
-
-
 def _convert_to_parts(
     raw_content: Union[str, Sequence[Union[str, dict]]],
 ) -> List[Part]:

From 097646998ca87f9d78820eed62d614d7e3f3e6c8 Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 10:04:31 -0700
Subject: [PATCH 21/49] vertexai[patch]: rm image load

---
 libs/vertexai/README.md                       |  1 -
 .../langchain_google_vertexai/_image_utils.py | 38 +++++++++----------
 .../langchain_google_vertexai/embeddings.py   |  2 +-
 3 files changed, 19 insertions(+), 22 deletions(-)

diff --git a/libs/vertexai/README.md b/libs/vertexai/README.md
index 63c913df..d715b79d 100644
--- a/libs/vertexai/README.md
+++ b/libs/vertexai/README.md
@@ -56,7 +56,6 @@ The value of `image_url` can be any of the following:
 
 - A public image URL
 - An accessible gcs file (e.g., "gcs://path/to/file.png")
-- A local file path
 - A base64 encoded image (e.g., `data:image/png;base64,abcd124`)
 
 ## Embeddings
diff --git a/libs/vertexai/langchain_google_vertexai/_image_utils.py b/libs/vertexai/langchain_google_vertexai/_image_utils.py
index 0bd7e7d7..80ecd74c 100644
--- a/libs/vertexai/langchain_google_vertexai/_image_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_image_utils.py
@@ -50,7 +50,6 @@ def load_bytes(self, image_string: str) -> bytes:
             image_string: Can be either:
                     - Google cloud storage URI
                     - B64 Encoded image string
-                    - Local file path
                     - URL
 
         Returns:
@@ -70,12 +69,18 @@ def load_bytes(self, image_string: str) -> bytes:
             return self._bytes_from_url(image_string)
 
         if route == Route.LOCAL_FILE:
-            return self._bytes_from_file(image_string)
+            msg = (
+                "Support for loading local files has been removed for security "
+                "reasons. Please pass in images as one of: "
+                "Google Cloud Storage URI, b64 encoded image string (data:image/...), "
+                "or valid image url. "
+            )
+            raise ValueError(msg)
 
         raise ValueError(
             "Image string must be one of: Google Cloud Storage URI, "
-            "b64 encoded image string (data:image/...), valid image url, "
-            f"or existing local image file. Instead got '{image_string}'."
+            "b64 encoded image string (data:image/...), valid image url. "
+            f"Instead got '{image_string}'."
         )
 
     def load_part(self, image_string: str) -> Part:
@@ -104,7 +109,13 @@ def load_part(self, image_string: str) -> Part:
             bytes_ = self._bytes_from_url(image_string)
 
         if route == Route.LOCAL_FILE:
-            bytes_ = self._bytes_from_file(image_string)
+            msg = (
+                "Support for loading local files has been removed for security "
+                "reasons. Please pass in images as one of: "
+                "Google Cloud Storage URI, b64 encoded image string (data:image/...), "
+                "or valid image url. "
+            )
+            raise ValueError(msg)
 
         mime_type = self._has_known_mimetype(image_string)
         if mime_type:
@@ -131,8 +142,8 @@ def _route(self, image_string: str) -> Route:
 
         raise ValueError(
             "Image string must be one of: Google Cloud Storage URI, "
-            "b64 encoded image string (data:image/...), valid image url, "
-            f"or existing local image file. Instead got '{image_string}'."
+            "b64 encoded image string (data:image/...), or valid image url. "
+            f"Instead got '{image_string}'."
         )
 
     def _bytes_from_b64(self, base64_image: str) -> bytes:
@@ -154,19 +165,6 @@ def _bytes_from_b64(self, base64_image: str) -> bytes:
 
         raise ValueError(f"Error in b64 encoded image. Must follow pattern: {pattern}")
 
-    def _bytes_from_file(self, file_path: str) -> bytes:
-        """Gets image bytes from a local file path.
-
-        Args:
-            file_path: Existing file path.
-
-        Returns:
-            Image bytes
-        """
-        with open(file_path, "rb") as image_file:
-            image_bytes = image_file.read()
-        return image_bytes
-
     def _bytes_from_url(self, url: str) -> bytes:
         """Gets image bytes from a public url.
 
diff --git a/libs/vertexai/langchain_google_vertexai/embeddings.py b/libs/vertexai/langchain_google_vertexai/embeddings.py
index 6f1b3e82..a766fa02 100644
--- a/libs/vertexai/langchain_google_vertexai/embeddings.py
+++ b/libs/vertexai/langchain_google_vertexai/embeddings.py
@@ -485,7 +485,7 @@ def embed_image(
         """Embed an image.
 
         Args:
-            image_path: Path to image (local, Google Cloud Storage or web) to generate
+            image_path: Path to image (Google Cloud Storage or web) to generate
             embeddings for.
             contextual_text: Text to generate embeddings for.
 

From 6a44b05191b748f59bc4f6ba9a225105dc3403f6 Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 10:08:40 -0700
Subject: [PATCH 22/49] cr

---
 libs/vertexai/tests/unit_tests/test_image_utils.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/libs/vertexai/tests/unit_tests/test_image_utils.py b/libs/vertexai/tests/unit_tests/test_image_utils.py
index 034cf850..3972facc 100644
--- a/libs/vertexai/tests/unit_tests/test_image_utils.py
+++ b/libs/vertexai/tests/unit_tests/test_image_utils.py
@@ -90,12 +90,12 @@ def test_image_bytes_loader():
     image_bytes = loader.load_bytes(base64_image)
     assert isinstance(image_bytes, bytes)
 
-    # Check it loads from local file.
+    # Check doesn't load from local file.
     file = NamedTemporaryFile()
     file.write(image_bytes)
     file.seek(0)
-    image_bytes_from_file = loader.load_bytes(file.name)
-    assert image_bytes_from_file == image_bytes
+    with pytest.raises(ValueError):
+        image_bytes_from_file = loader.load_bytes(file.name)
     file.close()
 
     # Check if fails if nosense string

From d6c000e15b9f46df10b518c97912501f05785880 Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 10:16:50 -0700
Subject: [PATCH 23/49] fmt

---
 libs/vertexai/tests/unit_tests/test_image_utils.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/vertexai/tests/unit_tests/test_image_utils.py b/libs/vertexai/tests/unit_tests/test_image_utils.py
index 3972facc..14ca2956 100644
--- a/libs/vertexai/tests/unit_tests/test_image_utils.py
+++ b/libs/vertexai/tests/unit_tests/test_image_utils.py
@@ -95,7 +95,7 @@ def test_image_bytes_loader():
     file.write(image_bytes)
     file.seek(0)
     with pytest.raises(ValueError):
-        image_bytes_from_file = loader.load_bytes(file.name)
+        loader.load_bytes(file.name)
     file.close()
 
     # Check if fails if nosense string

From 7f683457c4f632da32eaa5cdeb36717a0884619b Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 11:18:32 -0700
Subject: [PATCH 24/49] genai[patch]: Release 2.0.4

---
 libs/genai/poetry.lock    | 22 +++++++++++-----------
 libs/genai/pyproject.toml |  4 ++--
 2 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/libs/genai/poetry.lock b/libs/genai/poetry.lock
index b22616d3..7d675569 100644
--- a/libs/genai/poetry.lock
+++ b/libs/genai/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -279,13 +279,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.149.0"
+version = "2.151.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google_api_python_client-2.149.0-py2.py3-none-any.whl", hash = "sha256:1a5232e9cfed8c201799d9327e4d44dc7ea7daa3c6e1627fca41aa201539c0da"},
-    {file = "google_api_python_client-2.149.0.tar.gz", hash = "sha256:b9d68c6b14ec72580d66001bd33c5816b78e2134b93ccc5cf8f624516b561750"},
+    {file = "google_api_python_client-2.151.0-py2.py3-none-any.whl", hash = "sha256:4427b2f47cd88b0355d540c2c52215f68c337f3bc9d6aae1ceeae4525977504c"},
+    {file = "google_api_python_client-2.151.0.tar.gz", hash = "sha256:a9d26d630810ed4631aea21d1de3e42072f98240aaf184a8a1a874a371115034"},
 ]
 
 [package.dependencies]
@@ -579,7 +579,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.13"
+version = "0.3.15"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -602,7 +602,7 @@ typing-extensions = ">=4.7"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
+resolved_reference = "621f78babd03fb2c362c417c27eff9e84a8a1230"
 subdirectory = "libs/core"
 
 [[package]]
@@ -624,18 +624,18 @@ syrupy = "^4"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
+resolved_reference = "621f78babd03fb2c362c417c27eff9e84a8a1230"
 subdirectory = "libs/standard-tests"
 
 [[package]]
 name = "langsmith"
-version = "0.1.137"
+version = "0.1.138"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.137-py3-none-any.whl", hash = "sha256:4256d5c61133749890f7b5c88321dbb133ce0f440c621ea28e76513285859b81"},
-    {file = "langsmith-0.1.137.tar.gz", hash = "sha256:56cdfcc6c74cb20a3f437d5bd144feb5bf93f54c5a2918d1e568cbd084a372d4"},
+    {file = "langsmith-0.1.138-py3-none-any.whl", hash = "sha256:5c2bd5c11c75f7b3d06a0f06b115186e7326ca969fd26d66ffc65a0669012aee"},
+    {file = "langsmith-0.1.138.tar.gz", hash = "sha256:1ecf613bb52f6bf17f1510e24ad8b70d4b0259bc9d3dbfd69b648c66d4644f0b"},
 ]
 
 [package.dependencies]
@@ -1586,4 +1586,4 @@ images = ["pillow"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "142fa3f19eb3125ef90affd35150a3028bee3aa423e54e3731b6770067b39aa2"
+content-hash = "69e7c1264c5773c96b003101e7a93d65dfa215e75a5cbed3f92d73d62088f7af"
diff --git a/libs/genai/pyproject.toml b/libs/genai/pyproject.toml
index 9f5b9a72..7bbf6762 100644
--- a/libs/genai/pyproject.toml
+++ b/libs/genai/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-genai"
-version = "2.0.3"
+version = "2.0.4"
 description = "An integration package connecting Google's genai package and LangChain"
 authors = []
 readme = "README.md"
@@ -12,7 +12,7 @@ license = "MIT"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
-langchain-core = ">=0.3.13,<0.4"
+langchain-core = ">=0.3.15,<0.4"
 google-generativeai = "^0.8.0"
 pillow = { version = "^10.1.0", optional = true }
 pydantic = ">=2,<3"

From 48638fbf6c3e2210c07384b1a437d9170025cf9d Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 11:26:52 -0700
Subject: [PATCH 25/49] vertexai[patch]: Release 2.0.7

---
 libs/vertexai/poetry.lock    | 348 +++++++++++++++++------------------
 libs/vertexai/pyproject.toml |   4 +-
 2 files changed, 171 insertions(+), 181 deletions(-)

diff --git a/libs/vertexai/poetry.lock b/libs/vertexai/poetry.lock
index 6249796a..e1bb2d72 100644
--- a/libs/vertexai/poetry.lock
+++ b/libs/vertexai/poetry.lock
@@ -632,13 +632,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.149.0"
+version = "2.151.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google_api_python_client-2.149.0-py2.py3-none-any.whl", hash = "sha256:1a5232e9cfed8c201799d9327e4d44dc7ea7daa3c6e1627fca41aa201539c0da"},
-    {file = "google_api_python_client-2.149.0.tar.gz", hash = "sha256:b9d68c6b14ec72580d66001bd33c5816b78e2134b93ccc5cf8f624516b561750"},
+    {file = "google_api_python_client-2.151.0-py2.py3-none-any.whl", hash = "sha256:4427b2f47cd88b0355d540c2c52215f68c337f3bc9d6aae1ceeae4525977504c"},
+    {file = "google_api_python_client-2.151.0.tar.gz", hash = "sha256:a9d26d630810ed4631aea21d1de3e42072f98240aaf184a8a1a874a371115034"},
 ]
 
 [package.dependencies]
@@ -688,13 +688,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.70.0"
+version = "1.71.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.70.0.tar.gz", hash = "sha256:e8edef6dbc7911380d0ea55c47544e799f62b891cb1a83b504ca1c09fff9884b"},
-    {file = "google_cloud_aiplatform-1.70.0-py2.py3-none-any.whl", hash = "sha256:690e6041f03d3aa85102ac3f316c958d6f43a99aefb7fb3f8938dee56d08abd9"},
+    {file = "google-cloud-aiplatform-1.71.0.tar.gz", hash = "sha256:29f0923d8c74d07a48f8ad600409405d03c73138b4efaf46db703d31c1e165b8"},
+    {file = "google_cloud_aiplatform-1.71.0-py2.py3-none-any.whl", hash = "sha256:3473802f5072ee4e90e6a64f75a0d3d905db60449117d0fd28481f4ea01d8c3d"},
 ]
 
 [package.dependencies]
@@ -728,7 +728,7 @@ ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict"
 ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train]", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
 reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
 tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
-testing = ["bigframes", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
+testing = ["aiohttp", "bigframes", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
 tokenization = ["sentencepiece (>=0.2.0)"]
 vizier = ["google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
@@ -1253,84 +1253,74 @@ files = [
 
 [[package]]
 name = "jiter"
-version = "0.6.1"
+version = "0.7.0"
 description = "Fast iterable JSON parser."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -1360,7 +1350,7 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.3.4"
+version = "0.3.6"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -1370,7 +1360,7 @@ develop = false
 [package.dependencies]
 aiohttp = "^3.8.3"
 async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
-langchain-core = "^0.3.12"
+langchain-core = "^0.3.14"
 langchain-text-splitters = "^0.3.0"
 langsmith = "^0.1.17"
 numpy = [
@@ -1387,12 +1377,12 @@ tenacity = ">=8.1.0,!=8.4.0,<10"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
+resolved_reference = "f94125a325309e867421a66e4a649bedc47d4e1c"
 subdirectory = "libs/langchain"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.13"
+version = "0.3.15"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -1415,7 +1405,7 @@ typing-extensions = ">=4.7"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
+resolved_reference = "54cb80c7780f67fa3f8340b899eea7c4f28cdfe0"
 subdirectory = "libs/core"
 
 [[package]]
@@ -1438,7 +1428,7 @@ tokenizers = ">=0.15.1,<1"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
+resolved_reference = "54cb80c7780f67fa3f8340b899eea7c4f28cdfe0"
 subdirectory = "libs/partners/mistralai"
 
 [[package]]
@@ -1460,32 +1450,32 @@ syrupy = "^4"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "0606aabfa39acb2ec575ea8bbfa4c8e662a6134f"
+resolved_reference = "54cb80c7780f67fa3f8340b899eea7c4f28cdfe0"
 subdirectory = "libs/standard-tests"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.0"
+version = "0.3.1"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.0,<0.4.0"
+langchain-core = ">=0.3.13,<0.4.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.137"
+version = "0.1.138"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -2846,93 +2836,93 @@ watchmedo = ["PyYAML (>=3.10)"]
 
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+    {file = "yarl-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:eb6dce402734575e1a8cc0bb1509afca508a400a57ce13d306ea2c663bad1138"},
+    {file = "yarl-1.17.1-py3-none-any.whl", hash = "sha256:f1790a4b1e8e8e028c391175433b9c8122c39b46e1663228158e61e6f915bf06"},
+    {file = "yarl-1.17.1.tar.gz", hash = "sha256:067a63fcfda82da6b198fa73079b1ca40b7c9b7994995b6ee38acda728b64d47"},
 ]
 
 [package.dependencies]
@@ -2947,4 +2937,4 @@ mistral = ["langchain-mistralai"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "9ea701b360b51312265ae6ba48fbeb13e09b53f0d3ce13b149d8fbcc39f46b5e"
+content-hash = "911b6ed94e3f4428e48f5f8c6bc60d37bb28ed3f44ba2b30787bc03963eabdde"
diff --git a/libs/vertexai/pyproject.toml b/libs/vertexai/pyproject.toml
index ae205b0f..f709b9b2 100644
--- a/libs/vertexai/pyproject.toml
+++ b/libs/vertexai/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-vertexai"
-version = "2.0.6"
+version = "2.0.7"
 description = "An integration package connecting Google VertexAI and LangChain"
 authors = []
 readme = "README.md"
@@ -12,7 +12,7 @@ license = "MIT"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
-langchain-core = ">=0.3.13,<0.4"
+langchain-core = ">=0.3.15,<0.4"
 google-cloud-aiplatform = "^1.70.0"
 google-cloud-storage = "^2.18.0"
 # optional dependencies

From 7d57375c6662410fde003df4541a956d22f46963 Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 11:29:11 -0700
Subject: [PATCH 26/49] infra: fix release

---
 .github/workflows/_release.yml      | 1 +
 .github/workflows/_test_release.yml | 1 +
 2 files changed, 2 insertions(+)

diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml
index acd18b0f..f7e60611 100644
--- a/.github/workflows/_release.yml
+++ b/.github/workflows/_release.yml
@@ -236,6 +236,7 @@ jobs:
           packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true
           print-hash: true
+          attestations: false
 
   mark-release:
     needs:
diff --git a/.github/workflows/_test_release.yml b/.github/workflows/_test_release.yml
index 11436869..b4877898 100644
--- a/.github/workflows/_test_release.yml
+++ b/.github/workflows/_test_release.yml
@@ -98,3 +98,4 @@ jobs:
           # This is *only for CI use* and is *extremely dangerous* otherwise!
           # https://github.com/pypa/gh-action-pypi-publish#tolerating-release-package-file-duplicates
           skip-existing: true
+          attestations: false

From 827764bc881dd07f58aa714b45d55af0c028207a Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 11:41:31 -0700
Subject: [PATCH 27/49] fmt

---
 libs/vertexai/tests/unit_tests/test_function_utils.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/libs/vertexai/tests/unit_tests/test_function_utils.py b/libs/vertexai/tests/unit_tests/test_function_utils.py
index b991201e..06a21117 100644
--- a/libs/vertexai/tests/unit_tests/test_function_utils.py
+++ b/libs/vertexai/tests/unit_tests/test_function_utils.py
@@ -293,6 +293,7 @@ def search(question: str) -> str:
         description="Search tool",
         properties={"question": gapic.Schema(type=gapic.Type.STRING, title="Question")},
         required=["question"],
+        property_ordering=["question"],
     ),
 )
 

From c2e9bd035b9d4e1f144b138b714ba77c006b09c2 Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 12:06:58 -0700
Subject: [PATCH 28/49] fmt

---
 libs/vertexai/tests/integration_tests/conftest.py     |  9 ---------
 .../tests/integration_tests/test_chat_models.py       | 11 -----------
 .../tests/integration_tests/test_embeddings.py        |  4 ++--
 3 files changed, 2 insertions(+), 22 deletions(-)

diff --git a/libs/vertexai/tests/integration_tests/conftest.py b/libs/vertexai/tests/integration_tests/conftest.py
index 6c083081..6277948e 100644
--- a/libs/vertexai/tests/integration_tests/conftest.py
+++ b/libs/vertexai/tests/integration_tests/conftest.py
@@ -30,12 +30,3 @@ def base64_image() -> str:
         "yuRj4Ik9is+hglfbkbfR3cnZm7chlUWLdwmprtCohX4HUtlOcQjLYCu+fzGJH2QRKvP3UN"
         "z8bWk1qMxjGTOMThZ3kvgLI5AzFfo379UAAAAASUVORK5CYII="
     )
-
-
-@pytest.fixture
-def tmp_image(tmp_path_factory: TempPathFactory, base64_image) -> str:
-    img_data = base64.b64decode(base64_image.split(",")[1])
-    image = Image(image_bytes=img_data)
-    fn = tmp_path_factory.mktemp("data") / "img.png"
-    image.save(str(fn))
-    return str(fn)
diff --git a/libs/vertexai/tests/integration_tests/test_chat_models.py b/libs/vertexai/tests/integration_tests/test_chat_models.py
index ee3195f5..4945aec7 100644
--- a/libs/vertexai/tests/integration_tests/test_chat_models.py
+++ b/libs/vertexai/tests/integration_tests/test_chat_models.py
@@ -1088,17 +1088,6 @@ def test_multimodal_pdf_input_url(multimodal_pdf_chain: RunnableSerializable) ->
     assert isinstance(response, AIMessage)
 
 
-@pytest.mark.release
-def test_multimodal_pdf_input_local(multimodal_pdf_chain: RunnableSerializable) -> None:
-    url = "https://abc.xyz/assets/95/eb/9cef90184e09bac553796896c633/2023q4-alphabet-earnings-release.pdf"
-    request_response = requests.get(url, allow_redirects=True)
-
-    with tempfile.NamedTemporaryFile(suffix=".pdf") as localfile:
-        localfile.write(request_response.content)
-        response = multimodal_pdf_chain.invoke(dict(image=localfile.name))
-        assert isinstance(response, AIMessage)
-
-
 @pytest.mark.release
 def test_multimodal_pdf_input_b64(multimodal_pdf_chain: RunnableSerializable) -> None:
     url = "https://abc.xyz/assets/95/eb/9cef90184e09bac553796896c633/2023q4-alphabet-earnings-release.pdf"
diff --git a/libs/vertexai/tests/integration_tests/test_embeddings.py b/libs/vertexai/tests/integration_tests/test_embeddings.py
index a8c2b6cf..d4841074 100644
--- a/libs/vertexai/tests/integration_tests/test_embeddings.py
+++ b/libs/vertexai/tests/integration_tests/test_embeddings.py
@@ -71,13 +71,13 @@ def test_langchain_google_vertexai_embedding_query(model_name, embeddings_dim) -
     [(None, 1408), (512, 512)],
 )
 def test_langchain_google_vertexai_image_embeddings(
-    dim, expected_dim, tmp_image
+    dim, expected_dim, base64_image
 ) -> None:
     model = VertexAIEmbeddings(model_name="multimodalembedding")
     kwargs = {}
     if dim:
         kwargs["dimensions"] = dim
-    output = model.embed_images([tmp_image for i in range(3)], **kwargs)
+    output = model.embed_images([base64_image for i in range(3)], **kwargs)
     assert len(output) == 3
     assert len(output[0]) == expected_dim
 

From 1c4fccae17bb043b3e4b196669dc0777524037fc Mon Sep 17 00:00:00 2001
From: Bagatur <baskaryan@gmail.com>
Date: Thu, 31 Oct 2024 12:09:45 -0700
Subject: [PATCH 29/49] fmt

---
 libs/vertexai/tests/integration_tests/conftest.py         | 4 ----
 libs/vertexai/tests/integration_tests/test_chat_models.py | 1 -
 2 files changed, 5 deletions(-)

diff --git a/libs/vertexai/tests/integration_tests/conftest.py b/libs/vertexai/tests/integration_tests/conftest.py
index 6277948e..7fe726da 100644
--- a/libs/vertexai/tests/integration_tests/conftest.py
+++ b/libs/vertexai/tests/integration_tests/conftest.py
@@ -1,8 +1,4 @@
-import base64
-
 import pytest
-from _pytest.tmpdir import TempPathFactory
-from vertexai.vision_models import Image  # type: ignore
 
 _DEFAULT_MODEL_NAME = "gemini-1.0-pro-001"
 
diff --git a/libs/vertexai/tests/integration_tests/test_chat_models.py b/libs/vertexai/tests/integration_tests/test_chat_models.py
index 4945aec7..ba332003 100644
--- a/libs/vertexai/tests/integration_tests/test_chat_models.py
+++ b/libs/vertexai/tests/integration_tests/test_chat_models.py
@@ -4,7 +4,6 @@
 import io
 import json
 import os
-import tempfile
 from typing import List, Literal, Optional, cast
 
 import pytest

From 0e756ad8845287bcf9fc53ebbc4eafac66603131 Mon Sep 17 00:00:00 2001
From: Erick Friis <erickfriis@gmail.com>
Date: Mon, 11 Nov 2024 10:00:07 -0800
Subject: [PATCH 30/49] infra: disable pypi release attestations (#590)

---
 .github/workflows/_release.yml      | 1 +
 .github/workflows/_test_release.yml | 1 +
 2 files changed, 2 insertions(+)

diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml
index f7e60611..3df1c5c7 100644
--- a/.github/workflows/_release.yml
+++ b/.github/workflows/_release.yml
@@ -236,6 +236,7 @@ jobs:
           packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true
           print-hash: true
+          # Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
           attestations: false
 
   mark-release:
diff --git a/.github/workflows/_test_release.yml b/.github/workflows/_test_release.yml
index b4877898..a3816449 100644
--- a/.github/workflows/_test_release.yml
+++ b/.github/workflows/_test_release.yml
@@ -98,4 +98,5 @@ jobs:
           # This is *only for CI use* and is *extremely dangerous* otherwise!
           # https://github.com/pypa/gh-action-pypi-publish#tolerating-release-package-file-duplicates
           skip-existing: true
+          # Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
           attestations: false

From 611c59a5324f38538eec4b0672dc6bf73f0133df Mon Sep 17 00:00:00 2001
From: Jackson Porter <j6porter@uwaterloo.ca>
Date: Thu, 14 Nov 2024 08:25:51 -0500
Subject: [PATCH 31/49] vertexai[refactor]: Enhance logprobs (#583)

---
 .../langchain_google_vertexai/_utils.py       | 36 +++++++++++++++++--
 .../langchain_google_vertexai/chat_models.py  | 33 ++++++++---------
 .../integration_tests/test_chat_models.py     | 29 +++++++++++----
 .../tests/unit_tests/test_chat_models.py      |  9 +++--
 4 files changed, 81 insertions(+), 26 deletions(-)

diff --git a/libs/vertexai/langchain_google_vertexai/_utils.py b/libs/vertexai/langchain_google_vertexai/_utils.py
index 4799a4ab..fb7ebfd5 100644
--- a/libs/vertexai/langchain_google_vertexai/_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_utils.py
@@ -154,6 +154,7 @@ def get_generation_info(
     *,
     stream: bool = False,
     usage_metadata: Optional[Dict] = None,
+    logprobs: Union[bool, int] = False,
 ) -> Dict[str, Any]:
     if is_gemini:
         # https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/gemini#response_body
@@ -186,8 +187,39 @@ def get_generation_info(
             ):
                 info["avg_logprobs"] = candidate.avg_logprobs
 
-        if hasattr(candidate, "logprobs_result"):
-            info["logprobs_result"] = proto.Message.to_dict(candidate.logprobs_result)
+        if hasattr(candidate, "logprobs_result") and logprobs:
+
+            def is_valid_logprob(prob):
+                return isinstance(prob, float) and not math.isnan(prob) and prob < 0
+
+            chosen_candidates = candidate.logprobs_result.chosen_candidates
+            top_candidates_list = candidate.logprobs_result.top_candidates
+            logprobs_int = 0 if logprobs is True else logprobs
+
+            valid_log_probs = []
+            for i, chosen in enumerate(chosen_candidates):
+                if not is_valid_logprob(chosen.log_probability):
+                    continue
+
+                top_logprobs = []
+                if logprobs_int > 0:
+                    for top in top_candidates_list[i].candidates[:logprobs_int]:
+                        if not is_valid_logprob(top.log_probability):
+                            continue
+                        top_logprobs.append(
+                            {"token": top.token, "logprob": top.log_probability}
+                        )
+
+                valid_log_probs.append(
+                    {
+                        "token": chosen.token,
+                        "logprob": chosen.log_probability,
+                        "top_logprobs": top_logprobs,
+                    }
+                )
+
+            if valid_log_probs:
+                info["logprobs_result"] = valid_log_probs
 
         try:
             if candidate.grounding_metadata:
diff --git a/libs/vertexai/langchain_google_vertexai/chat_models.py b/libs/vertexai/langchain_google_vertexai/chat_models.py
index ebd87d04..ebb9464a 100644
--- a/libs/vertexai/langchain_google_vertexai/chat_models.py
+++ b/libs/vertexai/langchain_google_vertexai/chat_models.py
@@ -139,7 +139,6 @@
     "top_p",
     "response_mime_type",
     "response_schema",
-    "temperature",
     "max_output_tokens",
     "presence_penalty",
     "frequency_penalty",
@@ -946,18 +945,16 @@ class Joke(BaseModel):
 
         .. code-block:: python
 
-            {
-                'chosen_candidates': [
-                    {'token': 'J', 'log_probability': 0.0},
-                    {'token': "'", 'log_probability': -4.0052048e-05},
-                    {'token': 'adore', 'log_probability': -0.003931577},
-                    {'token': ' programmer', 'log_probability': -0.13637993},
-                    {'token': '.', 'log_probability': -7.630326e-06},
-                    {'token': ' ', 'log_probability': -3.1950593e-05},
-                    {'token': '\n', 'log_probability': 0.0}
-                ],
-                'top_candidates': []
-            }
+            [
+                {'token': 'J', 'logprob': -1.549651415189146e-06, 'top_logprobs': []},
+                {'token': "'", 'logprob': -1.549651415189146e-06, 'top_logprobs': []},
+                {'token': 'adore', 'logprob': 0.0, 'top_logprobs': []},
+                {'token': ' programmer', 'logprob': -1.1922384146600962e-07, 'top_logprobs': []},
+                {'token': '.', 'logprob': -4.827636439586058e-05, 'top_logprobs': []},
+                {'token': ' ', 'logprob': -0.018011733889579773, 'top_logprobs': []},
+                {'token': '\n', 'logprob': -0.0008687592926435173, 'top_logprobs': []}
+            ]
+
 
 
     Response metadata
@@ -1053,8 +1050,8 @@ class Joke(BaseModel):
     logprobs: Union[bool, int] = False
     """Whether to return logprobs as part of AIMessage.response_metadata.
     
-    If False, don't return logprobs. If True, return logprobs for top candidate. If 
-    int, return logprobs for top ``logprobs`` candidates.
+    If False, don't return logprobs. If True, return logprobs for top candidate. 
+    If int, return logprobs for top ``logprobs`` candidates.
     
     **NOTE**: As of 10.28.24 this is only supported for gemini-1.5-flash models.
     
@@ -1313,6 +1310,7 @@ def _prepare_request_gemini(
             pass
         safety_settings = self._safety_settings_gemini(safety_settings)
         logprobs = logprobs if logprobs is not None else self.logprobs
+        logprobs = logprobs if isinstance(logprobs, (int, bool)) else False
         generation_config = self._generation_config_gemini(
             stream=stream, stop=stop, logprobs=logprobs, **kwargs
         )
@@ -1881,8 +1879,11 @@ def _gemini_response_to_chat_result(
         generations = []
         usage = proto.Message.to_dict(response.usage_metadata)
         lc_usage = _get_usage_metadata_gemini(usage)
+        logprobs = self.logprobs if isinstance(self.logprobs, (int, bool)) else False
         for candidate in response.candidates:
-            info = get_generation_info(candidate, is_gemini=True, usage_metadata=usage)
+            info = get_generation_info(
+                candidate, is_gemini=True, usage_metadata=usage, logprobs=logprobs
+            )
             message = _parse_response_candidate(candidate)
             if isinstance(message, AIMessage):
                 message.usage_metadata = lc_usage
diff --git a/libs/vertexai/tests/integration_tests/test_chat_models.py b/libs/vertexai/tests/integration_tests/test_chat_models.py
index ba332003..cca07998 100644
--- a/libs/vertexai/tests/integration_tests/test_chat_models.py
+++ b/libs/vertexai/tests/integration_tests/test_chat_models.py
@@ -1102,9 +1102,26 @@ def test_multimodal_pdf_input_b64(multimodal_pdf_chain: RunnableSerializable) ->
 
 @pytest.mark.release
 def test_logprobs() -> None:
-    llm = ChatVertexAI(model="gemini-1.5-flash", logprobs=True)
-    msg = llm.invoke("how are you")
-    assert msg.response_metadata["logprobs_result"]["chosen_candidates"]
-
-    msg = llm.invoke("how are you", logprobs=2)
-    assert msg.response_metadata["logprobs_result"]["top_candidates"]
+    llm = ChatVertexAI(model="gemini-1.5-flash", logprobs=2)
+    msg = llm.invoke("hey")
+    tokenprobs = msg.response_metadata.get("logprobs_result")
+    assert tokenprobs is None or isinstance(tokenprobs, list)
+    if tokenprobs:
+        stack = tokenprobs[:]
+        while stack:
+            token = stack.pop()
+            assert isinstance(token, dict)
+            assert "token" in token and "logprob" in token
+            assert isinstance(token.get("token"), str)
+            assert isinstance(token.get("logprob"), float)
+            if "top_logprobs" in token and token.get("top_logprobs") is not None:
+                assert isinstance(token.get("top_logprobs"), list)
+                stack.extend(token.get("top_logprobs", []))
+
+    llm2 = ChatVertexAI(model="gemini-1.5-flash", logprobs=True)
+    msg2 = llm2.invoke("how are you")
+    assert msg2.response_metadata["logprobs_result"]
+
+    llm3 = ChatVertexAI(model="gemini-1.5-flash", logprobs=False)
+    msg3 = llm3.invoke("howdy")
+    assert msg3.response_metadata.get("logprobs_result") is None
diff --git a/libs/vertexai/tests/unit_tests/test_chat_models.py b/libs/vertexai/tests/unit_tests/test_chat_models.py
index 9f65942c..e9da74ea 100644
--- a/libs/vertexai/tests/unit_tests/test_chat_models.py
+++ b/libs/vertexai/tests/unit_tests/test_chat_models.py
@@ -578,7 +578,9 @@ def test_default_params_gemini() -> None:
             mock_generate_content.call_args.kwargs["request"].contents[0].parts[0].text
             == "Hello"
         )
-        expected = GenerationConfig(candidate_count=1)
+        expected = GenerationConfig(
+            candidate_count=1,
+        )
         assert (
             mock_generate_content.call_args.kwargs["request"].generation_config
             == expected
@@ -909,7 +911,10 @@ def test_generation_config_gemini() -> None:
         temperature=0.3, stop=["stop"], candidate_count=2
     )
     expected = GenerationConfig(
-        stop_sequences=["stop"], temperature=0.3, top_k=3, candidate_count=2
+        stop_sequences=["stop"],
+        temperature=0.3,
+        top_k=3,
+        candidate_count=2,
     )
     assert generation_config == expected
 

From 61856e64aed68795831a62288b28a9506dec2901 Mon Sep 17 00:00:00 2001
From: lspataroG <167472995+lspataroG@users.noreply.github.com>
Date: Thu, 14 Nov 2024 14:26:24 +0100
Subject: [PATCH 32/49] Fixing datastore limitation indexing large fields in
 metadata (#582)

---
 .../vectorstores/document_storage.py                        | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py b/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py
index 27e9e5ab..bfaa5cf8 100644
--- a/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py
+++ b/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py
@@ -294,8 +294,12 @@ def mset(self, key_value_pairs: Sequence[Tuple[str, Document]]) -> None:
                 entity = self._client.entity(
                     key=key, exclude_from_indexes=self.exclude_from_indexes
                 )
+                metadata_entity = self._client.entity(
+                    exclude_from_indexes=self.exclude_from_indexes
+                )
+                metadata_entity.update(document.metadata)
                 entity[self._text_property_name] = document.page_content
-                entity[self._metadata_property_name] = document.metadata
+                entity[self._metadata_property_name] = metadata_entity
                 entities.append(entity)
 
             self._client.put_multi(entities)

From 28eafaee5728d3e5d37193a76c1b5bc08beb27ec Mon Sep 17 00:00:00 2001
From: Hong Li <holiholiholiholi@users.noreply.github.com>
Date: Thu, 14 Nov 2024 14:27:06 +0100
Subject: [PATCH 33/49] genai: added usage metadata info in the llm
 results(#573) (#584)

---
 libs/genai/langchain_google_genai/llms.py       | 13 ++++++++++++-
 libs/genai/tests/integration_tests/test_llms.py |  4 ++++
 2 files changed, 16 insertions(+), 1 deletion(-)

diff --git a/libs/genai/langchain_google_genai/llms.py b/libs/genai/langchain_google_genai/llms.py
index 710c1af8..0da089ce 100644
--- a/libs/genai/langchain_google_genai/llms.py
+++ b/libs/genai/langchain_google_genai/llms.py
@@ -310,10 +310,21 @@ def _generate(
                     generation_config=generation_config,
                     safety_settings=kwargs.pop("safety_settings", None),
                 )
+                generation_info = None
+                if res.usage_metadata is not None:
+                    generation_info = {
+                        "usage_metadata": res.to_dict().get("usage_metadata")
+                    }
+
                 candidates = [
                     "".join([p.text for p in c.content.parts]) for c in res.candidates
                 ]
-                generations.append([Generation(text=c) for c in candidates])
+                generations.append(
+                    [
+                        Generation(text=c, generation_info=generation_info)
+                        for c in candidates
+                    ]
+                )
             else:
                 res = _completion_with_retry(
                     self,
diff --git a/libs/genai/tests/integration_tests/test_llms.py b/libs/genai/tests/integration_tests/test_llms.py
index 7018b89c..53b9ddb5 100644
--- a/libs/genai/tests/integration_tests/test_llms.py
+++ b/libs/genai/tests/integration_tests/test_llms.py
@@ -41,6 +41,10 @@ def test_google_generativeai_generate(model_name: str) -> None:
     assert isinstance(output, LLMResult)
     assert len(output.generations) == 1
     assert len(output.generations[0]) == n
+    # check the usage data
+    generation_info = output.generations[0][0].generation_info
+    assert generation_info is not None
+    assert len(generation_info.get("usage_metadata", {})) > 0
 
 
 async def test_google_generativeai_agenerate() -> None:

From f19912749f70f75757f103f45ec5052ce6820e26 Mon Sep 17 00:00:00 2001
From: Daniel <daniel.jacob.lewis@gmail.com>
Date: Thu, 14 Nov 2024 08:27:39 -0500
Subject: [PATCH 34/49] =?UTF-8?q?vertexai:=20add=20finish=20message=20when?=
 =?UTF-8?q?=20available=20to=20the=20response=20object=20from=20gemini=20?=
 =?UTF-8?q?=E2=80=A6=20(#595)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 libs/vertexai/langchain_google_vertexai/_utils.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/libs/vertexai/langchain_google_vertexai/_utils.py b/libs/vertexai/langchain_google_vertexai/_utils.py
index fb7ebfd5..d6f25b42 100644
--- a/libs/vertexai/langchain_google_vertexai/_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_utils.py
@@ -178,6 +178,9 @@ def get_generation_info(
             "finish_reason": (
                 candidate.finish_reason.name if candidate.finish_reason else None
             ),
+            "finish_message": (
+                candidate.finish_message if candidate.finish_message else None
+            ),
         }
         if hasattr(candidate, "avg_logprobs") and candidate.avg_logprobs is not None:
             if (

From 8bc67d8c5261c62d8328970b9d65557e78c6f4dd Mon Sep 17 00:00:00 2001
From: Amarjot Singh <165981061+AmarjotSingh24@users.noreply.github.com>
Date: Thu, 14 Nov 2024 20:38:12 +0530
Subject: [PATCH 35/49] Added support for medlm-large-1.5@001 in vertexai
 GoogleModelFamily (#600)

---
 libs/vertexai/langchain_google_vertexai/_utils.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/libs/vertexai/langchain_google_vertexai/_utils.py b/libs/vertexai/langchain_google_vertexai/_utils.py
index d6f25b42..f0e4d39d 100644
--- a/libs/vertexai/langchain_google_vertexai/_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_utils.py
@@ -129,6 +129,7 @@ def _missing_(cls, value: Any) -> "GoogleModelFamily":
         gemini_advanced_models = {
             "medlm-large-1.5-preview",
             "medlm-large-1.5-001",
+            "medlm-large-1.5@001",
         }
         if "gemini-1.5" in model_name or model_name in gemini_advanced_models:
             return GoogleModelFamily.GEMINI_ADVANCED

From 68faa5a96d9cf8fa139711f4ced75c430f938d80 Mon Sep 17 00:00:00 2001
From: Erick Friis <erickfriis@gmail.com>
Date: Sat, 16 Nov 2024 01:18:02 -0800
Subject: [PATCH 36/49] langchain-standard-tests -> langchain-tests (#604)

* langchain-standard-tests -> langchain-tests

* x
---
 libs/genai/poetry.lock       |  37 +++++------
 libs/genai/pyproject.toml    |  15 +----
 libs/vertexai/poetry.lock    | 119 +++++++++++------------------------
 libs/vertexai/pyproject.toml |  13 +---
 4 files changed, 56 insertions(+), 128 deletions(-)

diff --git a/libs/genai/poetry.lock b/libs/genai/poetry.lock
index 7d675569..dd858489 100644
--- a/libs/genai/poetry.lock
+++ b/libs/genai/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -265,8 +265,8 @@ grpcio-status = [
     {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 proto-plus = [
-    {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""},
     {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""},
+    {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 requests = ">=2.18.0,<3.0.0.dev0"
@@ -591,8 +591,8 @@ jsonpatch = "^1.33"
 langsmith = "^0.1.125"
 packaging = ">=23.2,<25"
 pydantic = [
-    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
     {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
 ]
 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,!=8.4.0,<10.0.0"
@@ -606,26 +606,21 @@ resolved_reference = "621f78babd03fb2c362c417c27eff9e84a8a1230"
 subdirectory = "libs/core"
 
 [[package]]
-name = "langchain-standard-tests"
-version = "0.1.1"
+name = "langchain-tests"
+version = "0.3.1"
 description = "Standard tests for LangChain implementations"
 optional = false
-python-versions = ">=3.9,<4.0"
-files = []
-develop = false
+python-versions = "<4.0,>=3.9"
+files = [
+    {file = "langchain_tests-0.3.1-py3-none-any.whl", hash = "sha256:c62fc827247ec0a1ec73303cda8062b84581663d8f9c6e6081b1362ff822f538"},
+    {file = "langchain_tests-0.3.1.tar.gz", hash = "sha256:9a221351f4c9de00d0c731e80d2dd3281ef3ba0786193d7a566a70d480cc109f"},
+]
 
 [package.dependencies]
-httpx = "^0.27.0"
-langchain-core = "^0.3.0"
+httpx = ">=0.27.0,<0.28.0"
+langchain-core = ">=0.3.15,<0.4.0"
 pytest = ">=7,<9"
-syrupy = "^4"
-
-[package.source]
-type = "git"
-url = "https://github.com/langchain-ai/langchain.git"
-reference = "HEAD"
-resolved_reference = "621f78babd03fb2c362c417c27eff9e84a8a1230"
-subdirectory = "libs/standard-tests"
+syrupy = ">=4,<5"
 
 [[package]]
 name = "langsmith"
@@ -642,8 +637,8 @@ files = [
 httpx = ">=0.23.0,<1"
 orjson = ">=3.9.14,<4.0.0"
 pydantic = [
-    {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
     {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+    {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
 ]
 requests = ">=2,<3"
 requests-toolbelt = ">=1.0.0,<2.0.0"
@@ -1024,8 +1019,8 @@ files = [
 annotated-types = ">=0.6.0"
 pydantic-core = "2.23.4"
 typing-extensions = [
-    {version = ">=4.6.1", markers = "python_version < \"3.13\""},
     {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
+    {version = ">=4.6.1", markers = "python_version < \"3.13\""},
 ]
 
 [package.extras]
@@ -1586,4 +1581,4 @@ images = ["pillow"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "69e7c1264c5773c96b003101e7a93d65dfa215e75a5cbed3f92d73d62088f7af"
+content-hash = "3111bf46d046d8d2d3d51db2541ea585969d5f9137f214514d70294c9d43aad0"
diff --git a/libs/genai/pyproject.toml b/libs/genai/pyproject.toml
index 7bbf6762..d0fb4a91 100644
--- a/libs/genai/pyproject.toml
+++ b/libs/genai/pyproject.toml
@@ -31,15 +31,12 @@ syrupy = "^4.0.2"
 pytest-watcher = "^0.3.4"
 pytest-asyncio = "^0.21.1"
 numpy = "^1.26.2"
-langchain-core = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core" }
-langchain-standard-tests = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/standard-tests" }
+langchain-tests = "0.3.1"
 
 [tool.codespell]
 ignore-words-list = "rouge"
 
 
-
-
 [tool.poetry.group.codespell]
 optional = true
 
@@ -47,8 +44,6 @@ optional = true
 codespell = "^2.2.0"
 
 
-
-
 [tool.poetry.group.test_integration]
 optional = true
 
@@ -56,8 +51,6 @@ optional = true
 pillow = "^10.1.0"
 
 
-
-
 [tool.poetry.group.lint]
 optional = true
 
@@ -65,20 +58,15 @@ optional = true
 ruff = "^0.1.5"
 
 
-
-
 [tool.poetry.group.typing.dependencies]
 mypy = "^1.10"
 types-requests = "^2.28.11.5"
 types-google-cloud-ndb = "^2.2.0.1"
 types-pillow = "^10.1.0.2"
 types-protobuf = "^4.24.0.20240302"
-langchain-core = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core" }
 numpy = "^1.26.2"
 
 
-
-
 [tool.poetry.group.dev]
 optional = true
 
@@ -87,7 +75,6 @@ pillow = "^10.1.0"
 types-requests = "^2.31.0.10"
 types-pillow = "^10.1.0.2"
 types-google-cloud-ndb = "^2.2.0.1"
-langchain-core = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core" }
 
 [tool.ruff.lint]
 select = [
diff --git a/libs/vertexai/poetry.lock b/libs/vertexai/poetry.lock
index e1bb2d72..96425c97 100644
--- a/libs/vertexai/poetry.lock
+++ b/libs/vertexai/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -1321,6 +1321,16 @@ files = [
     {file = "jiter-0.7.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c9b669ff6f8ba08270dee9ccf858d3b0203b42314a428a1676762f2d390fbb64"},
     {file = "jiter-0.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b5be919bacd73ca93801c3042bce6e95cb9c555a45ca83617b9b6c89df03b9c2"},
     {file = "jiter-0.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a282e1e8a396dabcea82d64f9d05acf7efcf81ecdd925b967020dcb0e671c103"},
+    {file = "jiter-0.7.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:17ecb1a578a56e97a043c72b463776b5ea30343125308f667fb8fce4b3796735"},
+    {file = "jiter-0.7.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7b6045fa0527129218cdcd8a8b839f678219686055f31ebab35f87d354d9c36e"},
+    {file = "jiter-0.7.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:189cc4262a92e33c19d4fd24018f5890e4e6da5b2581f0059938877943f8298c"},
+    {file = "jiter-0.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c138414839effbf30d185e30475c6dc8a16411a1e3681e5fd4605ab1233ac67a"},
+    {file = "jiter-0.7.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2791604acef33da6b72d5ecf885a32384bcaf9aa1e4be32737f3b8b9588eef6a"},
+    {file = "jiter-0.7.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ae60ec89037a78d60bbf3d8b127f1567769c8fa24886e0abed3f622791dea478"},
+    {file = "jiter-0.7.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:836f03dea312967635233d826f783309b98cfd9ccc76ac776e224cfcef577862"},
+    {file = "jiter-0.7.0-cp39-none-win32.whl", hash = "sha256:ebc30ae2ce4bc4986e1764c404b4ea1924f926abf02ce92516485098f8545374"},
+    {file = "jiter-0.7.0-cp39-none-win_amd64.whl", hash = "sha256:abf596f951370c648f37aa9899deab296c42a3829736e598b0dd10b08f77a44d"},
+    {file = "jiter-0.7.0.tar.gz", hash = "sha256:c061d9738535497b5509f8970584f20de1e900806b239a39a9994fc191dad630"},
 ]
 
 [[package]]
@@ -1350,35 +1360,30 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.3.6"
+version = "0.3.7"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = ">=3.9,<4.0"
-files = []
-develop = false
+python-versions = "<4.0,>=3.9"
+files = [
+    {file = "langchain-0.3.7-py3-none-any.whl", hash = "sha256:cf4af1d5751dacdc278df3de1ff3cbbd8ca7eb55d39deadccdd7fb3d3ee02ac0"},
+    {file = "langchain-0.3.7.tar.gz", hash = "sha256:2e4f83bf794ba38562f7ba0ede8171d7e28a583c0cec6f8595cfe72147d336b2"},
+]
 
 [package.dependencies]
-aiohttp = "^3.8.3"
-async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
-langchain-core = "^0.3.14"
-langchain-text-splitters = "^0.3.0"
-langsmith = "^0.1.17"
+aiohttp = ">=3.8.3,<4.0.0"
+async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
+langchain-core = ">=0.3.15,<0.4.0"
+langchain-text-splitters = ">=0.3.0,<0.4.0"
+langsmith = ">=0.1.17,<0.2.0"
 numpy = [
     {version = ">=1,<2", markers = "python_version < \"3.12\""},
     {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
 ]
-pydantic = "^2.7.4"
+pydantic = ">=2.7.4,<3.0.0"
 PyYAML = ">=5.3"
-requests = "^2"
+requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,!=8.4.0,<10"
-
-[package.source]
-type = "git"
-url = "https://github.com/langchain-ai/langchain.git"
-reference = "HEAD"
-resolved_reference = "f94125a325309e867421a66e4a649bedc47d4e1c"
-subdirectory = "libs/langchain"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
@@ -1432,26 +1437,21 @@ resolved_reference = "54cb80c7780f67fa3f8340b899eea7c4f28cdfe0"
 subdirectory = "libs/partners/mistralai"
 
 [[package]]
-name = "langchain-standard-tests"
-version = "0.1.1"
+name = "langchain-tests"
+version = "0.3.1"
 description = "Standard tests for LangChain implementations"
 optional = false
-python-versions = ">=3.9,<4.0"
-files = []
-develop = false
+python-versions = "<4.0,>=3.9"
+files = [
+    {file = "langchain_tests-0.3.1-py3-none-any.whl", hash = "sha256:c62fc827247ec0a1ec73303cda8062b84581663d8f9c6e6081b1362ff822f538"},
+    {file = "langchain_tests-0.3.1.tar.gz", hash = "sha256:9a221351f4c9de00d0c731e80d2dd3281ef3ba0786193d7a566a70d480cc109f"},
+]
 
 [package.dependencies]
-httpx = "^0.27.0"
-langchain-core = "^0.3.0"
+httpx = ">=0.27.0,<0.28.0"
+langchain-core = ">=0.3.15,<0.4.0"
 pytest = ">=7,<9"
-syrupy = "^4"
-
-[package.source]
-type = "git"
-url = "https://github.com/langchain-ai/langchain.git"
-reference = "HEAD"
-resolved_reference = "54cb80c7780f67fa3f8340b899eea7c4f28cdfe0"
-subdirectory = "libs/standard-tests"
+syrupy = ">=4,<5"
 
 [[package]]
 name = "langchain-text-splitters"
@@ -2452,61 +2452,14 @@ description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "SQLAlchemy-2.0.36-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:59b8f3adb3971929a3e660337f5dacc5942c2cdb760afcabb2614ffbda9f9f72"},
-    {file = "SQLAlchemy-2.0.36-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37350015056a553e442ff672c2d20e6f4b6d0b2495691fa239d8aa18bb3bc908"},
-    {file = "SQLAlchemy-2.0.36-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8318f4776c85abc3f40ab185e388bee7a6ea99e7fa3a30686580b209eaa35c08"},
     {file = "SQLAlchemy-2.0.36-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c245b1fbade9c35e5bd3b64270ab49ce990369018289ecfde3f9c318411aaa07"},
-    {file = "SQLAlchemy-2.0.36-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:69f93723edbca7342624d09f6704e7126b152eaed3cdbb634cb657a54332a3c5"},
     {file = "SQLAlchemy-2.0.36-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f9511d8dd4a6e9271d07d150fb2f81874a3c8c95e11ff9af3a2dfc35fe42ee44"},
     {file = "SQLAlchemy-2.0.36-cp310-cp310-win32.whl", hash = "sha256:c3f3631693003d8e585d4200730616b78fafd5a01ef8b698f6967da5c605b3fa"},
     {file = "SQLAlchemy-2.0.36-cp310-cp310-win_amd64.whl", hash = "sha256:a86bfab2ef46d63300c0f06936bd6e6c0105faa11d509083ba8f2f9d237fb5b5"},
-    {file = "SQLAlchemy-2.0.36-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fd3a55deef00f689ce931d4d1b23fa9f04c880a48ee97af488fd215cf24e2a6c"},
-    {file = "SQLAlchemy-2.0.36-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4f5e9cd989b45b73bd359f693b935364f7e1f79486e29015813c338450aa5a71"},
-    {file = "SQLAlchemy-2.0.36-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d0ddd9db6e59c44875211bc4c7953a9f6638b937b0a88ae6d09eb46cced54eff"},
     {file = "SQLAlchemy-2.0.36-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2519f3a5d0517fc159afab1015e54bb81b4406c278749779be57a569d8d1bb0d"},
-    {file = "SQLAlchemy-2.0.36-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59b1ee96617135f6e1d6f275bbe988f419c5178016f3d41d3c0abb0c819f75bb"},
     {file = "SQLAlchemy-2.0.36-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:39769a115f730d683b0eb7b694db9789267bcd027326cccc3125e862eb03bfd8"},
     {file = "SQLAlchemy-2.0.36-cp311-cp311-win32.whl", hash = "sha256:66bffbad8d6271bb1cc2f9a4ea4f86f80fe5e2e3e501a5ae2a3dc6a76e604e6f"},
     {file = "SQLAlchemy-2.0.36-cp311-cp311-win_amd64.whl", hash = "sha256:23623166bfefe1487d81b698c423f8678e80df8b54614c2bf4b4cfcd7c711959"},
-    {file = "SQLAlchemy-2.0.36-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f7b64e6ec3f02c35647be6b4851008b26cff592a95ecb13b6788a54ef80bbdd4"},
-    {file = "SQLAlchemy-2.0.36-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:46331b00096a6db1fdc052d55b101dbbfc99155a548e20a0e4a8e5e4d1362855"},
-    {file = "SQLAlchemy-2.0.36-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fdf3386a801ea5aba17c6410dd1dc8d39cf454ca2565541b5ac42a84e1e28f53"},
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     {file = "sqlalchemy-2.0.36.tar.gz", hash = "sha256:7f2767680b6d2398aea7082e45a774b2b0767b5c8d8ffb9c8b683088ea9b29c5"},
 ]
@@ -2937,4 +2890,4 @@ mistral = ["langchain-mistralai"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "911b6ed94e3f4428e48f5f8c6bc60d37bb28ed3f44ba2b30787bc03963eabdde"
+content-hash = "12cbda598b827846eef4fc9b3d6a44ec9d187e2b8d5bf37b03f1722954cfcb90"
diff --git a/libs/vertexai/pyproject.toml b/libs/vertexai/pyproject.toml
index f709b9b2..bd80636f 100644
--- a/libs/vertexai/pyproject.toml
+++ b/libs/vertexai/pyproject.toml
@@ -40,17 +40,14 @@ numpy = [
   { version = "^1.26.0", python = ">=3.12" },
 ]
 google-api-python-client = "^2.117.0"
-langchain = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/langchain" }
-langchain-core = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core" }
-langchain-standard-tests = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/standard-tests"}
+langchain = "^0.3.7"
+langchain-tests = "0.3.1"
 
 
 [tool.codespell]
 ignore-words-list = "rouge"
 
 
-
-
 [tool.poetry.group.codespell]
 optional = true
 
@@ -69,8 +66,7 @@ optional = true
 numexpr = { version = "^2.8.8", python = ">=3.9,<4.0" }
 google-api-python-client = "^2.114.0"
 google-cloud-datastore = "^2.19.0"
-langchain = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/langchain" }
-langchain-mistralai = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/partners/mistralai"}
+langchain-mistralai = ">=0.2.0,<1"
 
 [tool.poetry.group.lint]
 optional = true
@@ -84,12 +80,9 @@ mypy = "^1"
 types-google-cloud-ndb = "^2.2.0.20240106"
 types-protobuf = "^4.24.0.4"
 types-requests = "^2.31.0"
-langchain-core = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core" }
-
 
 
 [tool.poetry.group.dev.dependencies]
-langchain-core = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core" }
 
 [tool.ruff.lint]
 select = [

From 3347d6fe1ca66968fb8c062ea8f7ff1f19db18cb Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Tue, 19 Nov 2024 04:20:53 -0800
Subject: [PATCH 37/49] genai[patch]: fix tool call reading (#606)

---
 libs/genai/langchain_google_genai/chat_models.py | 13 +++++++++++--
 1 file changed, 11 insertions(+), 2 deletions(-)

diff --git a/libs/genai/langchain_google_genai/chat_models.py b/libs/genai/langchain_google_genai/chat_models.py
index 6878b352..17bb226e 100644
--- a/libs/genai/langchain_google_genai/chat_models.py
+++ b/libs/genai/langchain_google_genai/chat_models.py
@@ -368,8 +368,17 @@ def _parse_chat_history(
             continue
         elif isinstance(message, AIMessage):
             role = "model"
-            raw_function_call = message.additional_kwargs.get("function_call")
-            if raw_function_call:
+            if message.tool_calls:
+                parts = []
+                for tool_call in message.tool_calls:
+                    function_call = FunctionCall(
+                        {
+                            "name": tool_call["name"],
+                            "args": tool_call["args"],
+                        }
+                    )
+                    parts.append(Part(function_call=function_call))
+            elif raw_function_call := message.additional_kwargs.get("function_call"):
                 function_call = FunctionCall(
                     {
                         "name": raw_function_call["name"],

From 28a478d53790dbd6fdd1553a256b94fe4e7b64dd Mon Sep 17 00:00:00 2001
From: Maksim Metelskii <maxmet91@gmail.com>
Date: Tue, 19 Nov 2024 19:24:51 +0700
Subject: [PATCH 38/49] genai[refactoring]: Remove Pillow support, adjust
 dependencies, and clean up unused code (#603)

---
 libs/genai/README.md                          |   7 --
 .../langchain_google_genai/chat_models.py     |  52 --------
 libs/genai/poetry.lock                        | 113 +-----------------
 libs/genai/pyproject.toml                     |   9 +-
 4 files changed, 2 insertions(+), 179 deletions(-)

diff --git a/libs/genai/README.md b/libs/genai/README.md
index c4498351..6c8d0995 100644
--- a/libs/genai/README.md
+++ b/libs/genai/README.md
@@ -8,12 +8,6 @@ This package contains the LangChain integrations for Gemini through their genera
 pip install -U langchain-google-genai
 ```
 
-### Image utilities
-To use image utility methods, like loading images from GCS urls, install with extras group 'images':
-
-```bash
-pip install -e "langchain-google-genai[images]"
-```
 
 ## Chat Models
 
@@ -61,7 +55,6 @@ The value of `image_url` can be any of the following:
 - A public image URL
 - An accessible gcs file (e.g., "gcs://path/to/file.png")
 - A base64 encoded image (e.g., `data:image/png;base64,abcd124`)
-- A PIL image
 
 
 
diff --git a/libs/genai/langchain_google_genai/chat_models.py b/libs/genai/langchain_google_genai/chat_models.py
index 17bb226e..91a1cfa8 100644
--- a/libs/genai/langchain_google_genai/chat_models.py
+++ b/libs/genai/langchain_google_genai/chat_models.py
@@ -5,7 +5,6 @@
 import logging
 import uuid
 import warnings
-from io import BytesIO
 from operator import itemgetter
 from typing import (
     Any,
@@ -22,7 +21,6 @@
     Union,
     cast,
 )
-from urllib.parse import urlparse
 
 import google.api_core
 
@@ -114,16 +112,6 @@
 
 from . import _genai_extension as genaix
 
-IMAGE_TYPES: Tuple = ()
-try:
-    import PIL
-    from PIL.Image import Image
-
-    IMAGE_TYPES = IMAGE_TYPES + (Image,)
-except ImportError:
-    PIL = None  # type: ignore
-    Image = None  # type: ignore
-
 logger = logging.getLogger(__name__)
 
 
@@ -245,46 +233,6 @@ def _is_openai_parts_format(part: dict) -> bool:
     return "type" in part
 
 
-def _is_vision_model(model: str) -> bool:
-    return "vision" in model
-
-
-def _is_url(s: str) -> bool:
-    try:
-        result = urlparse(s)
-        return all([result.scheme, result.netloc])
-    except Exception as e:
-        logger.debug(f"Unable to parse URL: {e}")
-        return False
-
-
-def _is_b64(s: str) -> bool:
-    return s.startswith("data:image")
-
-
-def _load_image_from_gcs(path: str, project: Optional[str] = None) -> Image:
-    try:
-        from google.cloud import storage  # type: ignore[attr-defined]
-    except ImportError:
-        raise ImportError(
-            "google-cloud-storage is required to load images from GCS."
-            " Install it with `pip install google-cloud-storage`"
-        )
-    if PIL is None:
-        raise ImportError(
-            "PIL is required to load images. Please install it "
-            "with `pip install pillow`"
-        )
-
-    gcs_client = storage.Client(project=project)
-    pieces = path.split("/")
-    blobs = list(gcs_client.list_blobs(pieces[2], prefix="/".join(pieces[3:])))
-    if len(blobs) > 1:
-        raise ValueError(f"Found more than one candidate for {path}!")
-    img_bytes = blobs[0].download_as_bytes()
-    return PIL.Image.open(BytesIO(img_bytes))
-
-
 def _convert_to_parts(
     raw_content: Union[str, Sequence[Union[str, dict]]],
 ) -> List[Part]:
diff --git a/libs/genai/poetry.lock b/libs/genai/poetry.lock
index dd858489..4f0f797f 100644
--- a/libs/genai/poetry.lock
+++ b/libs/genai/poetry.lock
@@ -830,103 +830,6 @@ files = [
     {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
 ]
 
-[[package]]
-name = "pillow"
-version = "10.4.0"
-description = "Python Imaging Library (Fork)"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "pillow-10.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:4d9667937cfa347525b319ae34375c37b9ee6b525440f3ef48542fcf66f2731e"},
-    {file = "pillow-10.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:543f3dc61c18dafb755773efc89aae60d06b6596a63914107f75459cf984164d"},
-    {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7928ecbf1ece13956b95d9cbcfc77137652b02763ba384d9ab508099a2eca856"},
-    {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d49b85c4348ea0b31ea63bc75a9f3857869174e2bf17e7aba02945cd218e6f"},
-    {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6c762a5b0997f5659a5ef2266abc1d8851ad7749ad9a6a5506eb23d314e4f46b"},
-    {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a985e028fc183bf12a77a8bbf36318db4238a3ded7fa9df1b9a133f1cb79f8fc"},
-    {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:812f7342b0eee081eaec84d91423d1b4650bb9828eb53d8511bcef8ce5aecf1e"},
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-    {file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
-]
-
-[package.extras]
-docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
-fpx = ["olefile"]
-mic = ["olefile"]
-tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
-typing = ["typing-extensions"]
-xmp = ["defusedxml"]
-
 [[package]]
 name = "pluggy"
 version = "1.5.0"
@@ -1458,17 +1361,6 @@ files = [
     {file = "types_google_cloud_ndb-2.3.0.20240813-py3-none-any.whl", hash = "sha256:79404e04e97324d0b6466f297e92e734a38fb9cd064c2f3816820311bc6c3f57"},
 ]
 
-[[package]]
-name = "types-pillow"
-version = "10.2.0.20240822"
-description = "Typing stubs for Pillow"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "types-Pillow-10.2.0.20240822.tar.gz", hash = "sha256:559fb52a2ef991c326e4a0d20accb3bb63a7ba8d40eb493e0ecb0310ba52f0d3"},
-    {file = "types_Pillow-10.2.0.20240822-py3-none-any.whl", hash = "sha256:d9dab025aba07aeb12fd50a6799d4eac52a9603488eca09d7662543983f16c5d"},
-]
-
 [[package]]
 name = "types-protobuf"
 version = "4.25.0.20240417"
@@ -1575,10 +1467,7 @@ files = [
 [package.extras]
 watchmedo = ["PyYAML (>=3.10)"]
 
-[extras]
-images = ["pillow"]
-
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "3111bf46d046d8d2d3d51db2541ea585969d5f9137f214514d70294c9d43aad0"
+content-hash = "988b5a557506419d3750476d499929c8e3d3f7a0f37f4ca8c5ec5064227f2671"
diff --git a/libs/genai/pyproject.toml b/libs/genai/pyproject.toml
index d0fb4a91..a8456ec7 100644
--- a/libs/genai/pyproject.toml
+++ b/libs/genai/pyproject.toml
@@ -14,12 +14,8 @@ license = "MIT"
 python = ">=3.9,<4.0"
 langchain-core = ">=0.3.15,<0.4"
 google-generativeai = "^0.8.0"
-pillow = { version = "^10.1.0", optional = true }
 pydantic = ">=2,<3"
 
-[tool.poetry.extras]
-images = ["pillow"]
-
 [tool.poetry.group.test]
 optional = true
 
@@ -48,7 +44,7 @@ codespell = "^2.2.0"
 optional = true
 
 [tool.poetry.group.test_integration.dependencies]
-pillow = "^10.1.0"
+pytest = "^7.3.0"
 
 
 [tool.poetry.group.lint]
@@ -62,7 +58,6 @@ ruff = "^0.1.5"
 mypy = "^1.10"
 types-requests = "^2.28.11.5"
 types-google-cloud-ndb = "^2.2.0.1"
-types-pillow = "^10.1.0.2"
 types-protobuf = "^4.24.0.20240302"
 numpy = "^1.26.2"
 
@@ -71,9 +66,7 @@ numpy = "^1.26.2"
 optional = true
 
 [tool.poetry.group.dev.dependencies]
-pillow = "^10.1.0"
 types-requests = "^2.31.0.10"
-types-pillow = "^10.1.0.2"
 types-google-cloud-ndb = "^2.2.0.1"
 
 [tool.ruff.lint]

From 96f0061d766f2a9d1777d5a772901c405deb4dfb Mon Sep 17 00:00:00 2001
From: vbarda <vadym@langchain.dev>
Date: Tue, 19 Nov 2024 09:16:57 -0500
Subject: [PATCH 39/49] genai: release 2.0.5

---
 libs/genai/pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/genai/pyproject.toml b/libs/genai/pyproject.toml
index a8456ec7..3f3e4105 100644
--- a/libs/genai/pyproject.toml
+++ b/libs/genai/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-genai"
-version = "2.0.4"
+version = "2.0.5"
 description = "An integration package connecting Google's genai package and LangChain"
 authors = []
 readme = "README.md"

From 9f520cd244ce1cf25cf59268113f7fd195ebe832 Mon Sep 17 00:00:00 2001
From: kardiff18 <22534191+kardiff18@users.noreply.github.com>
Date: Tue, 19 Nov 2024 10:49:15 -0500
Subject: [PATCH 40/49] [vertexai]: Fix context caching with tools & flakey
 test (#602)

---
 .../langchain_google_vertexai/utils.py        |  2 +-
 .../tests/integration_tests/test_chains.py    |  2 +-
 .../integration_tests/test_chat_models.py     | 70 +++++++++++++++++++
 .../tests/integration_tests/test_standard.py  |  6 +-
 4 files changed, 77 insertions(+), 3 deletions(-)

diff --git a/libs/vertexai/langchain_google_vertexai/utils.py b/libs/vertexai/langchain_google_vertexai/utils.py
index 5b31ff0f..c9286a04 100644
--- a/libs/vertexai/langchain_google_vertexai/utils.py
+++ b/libs/vertexai/langchain_google_vertexai/utils.py
@@ -60,7 +60,7 @@ def create_context_cache(
         tool_config = _format_tool_config(tool_config)
 
     if tools is not None:
-        tools = _format_to_gapic_tool(tools)
+        tools = [_format_to_gapic_tool(tools)]
 
     cached_content = caching.CachedContent.create(
         model_name=model.full_model_name,
diff --git a/libs/vertexai/tests/integration_tests/test_chains.py b/libs/vertexai/tests/integration_tests/test_chains.py
index 295219f2..5f79a3c0 100644
--- a/libs/vertexai/tests/integration_tests/test_chains.py
+++ b/libs/vertexai/tests/integration_tests/test_chains.py
@@ -44,7 +44,7 @@ def test_create_structured_runnable() -> None:
 
 @pytest.mark.release
 def test_create_structured_runnable_with_prompt() -> None:
-    llm = ChatVertexAI(model_name=_DEFAULT_MODEL_NAME)
+    llm = ChatVertexAI(model_name=_DEFAULT_MODEL_NAME, temperature=0)
     prompt = ChatPromptTemplate.from_template(
         "Describe a random {class} and mention their name, {attr} and favorite food"
     )
diff --git a/libs/vertexai/tests/integration_tests/test_chat_models.py b/libs/vertexai/tests/integration_tests/test_chat_models.py
index cca07998..e610f928 100644
--- a/libs/vertexai/tests/integration_tests/test_chat_models.py
+++ b/libs/vertexai/tests/integration_tests/test_chat_models.py
@@ -902,6 +902,76 @@ def test_context_catching():
     assert isinstance(response.content, str)
 
 
+@pytest.mark.extended
+def test_context_catching_tools():
+    from langchain import agents
+
+    @tool
+    def get_secret_number() -> int:
+        """Gets secret number."""
+        return 747
+
+    tools = [get_secret_number]
+    system_instruction = """
+    You are an expert researcher. You always stick to the facts in the sources
+    provided, and never make up new facts.
+
+    You have a get_secret_number function available. Use this tool if someone asks
+    for the secret number.
+        
+    Now look at these research papers, and answer the following questions.
+        
+    """
+
+    cached_content = create_context_cache(
+        model=ChatVertexAI(
+            model_name="gemini-1.5-pro-001",
+        ),
+        messages=[
+            SystemMessage(content=system_instruction),
+            HumanMessage(
+                content=[
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": "gs://cloud-samples-data/generative-ai/pdf/2312.11805v3.pdf",
+                        },
+                    },
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": "gs://cloud-samples-data/generative-ai/pdf/2403.05530.pdf"
+                        },
+                    },
+                ]
+            ),
+        ],
+        tools=tools,
+    )
+
+    chat = ChatVertexAI(
+        model_name="gemini-1.5-pro-001",
+        cached_content=cached_content,
+    )
+
+    prompt = ChatPromptTemplate.from_messages(
+        [
+            ("human", "{input}"),
+            ("placeholder", "{agent_scratchpad}"),
+        ]
+    )
+    agent = agents.create_tool_calling_agent(
+        llm=chat,
+        tools=tools,
+        prompt=prompt,
+    )
+    agent_executor = agents.AgentExecutor(  # type: ignore[call-arg]
+        agent=agent, tools=tools, verbose=False, stream_runnable=False
+    )
+    response = agent_executor.invoke({"input": "what is the secret number?"})
+    assert isinstance(response["output"], str)
+
+
 @pytest.mark.release
 def test_json_serializable() -> None:
     llm = ChatVertexAI(
diff --git a/libs/vertexai/tests/integration_tests/test_standard.py b/libs/vertexai/tests/integration_tests/test_standard.py
index bf54ba89..a6dfc60a 100644
--- a/libs/vertexai/tests/integration_tests/test_standard.py
+++ b/libs/vertexai/tests/integration_tests/test_standard.py
@@ -37,7 +37,11 @@ def chat_model_class(self) -> Type[BaseChatModel]:
 
     @property
     def chat_model_params(self) -> dict:
-        return {"model_name": "gemini-1.5-pro-001", "rate_limiter": rate_limiter}
+        return {
+            "model_name": "gemini-1.5-pro-001",
+            "rate_limiter": rate_limiter,
+            "temperature": 0,
+        }
 
     @property
     def supports_image_inputs(self) -> bool:

From 0b5d16a3d7b54c49a904de7728007084e02c2bee Mon Sep 17 00:00:00 2001
From: Jeff Park <jypark03@gmail.com>
Date: Wed, 20 Nov 2024 00:37:41 -0500
Subject: [PATCH 41/49] vertexai: refactor: simplify content processing in
 anthropic formatter (#601)

---
 .../_anthropic_parsers.py                     | 19 +++++--
 .../langchain_google_vertexai/model_garden.py | 23 +++++---
 libs/vertexai/poetry.lock                     | 55 +++++++++++++++++--
 libs/vertexai/pyproject.toml                  |  1 +
 .../integration_tests/test_model_garden.py    |  2 +-
 .../tests/unit_tests/test_chat_models.py      | 47 ++++++++++++++++
 6 files changed, 129 insertions(+), 18 deletions(-)

diff --git a/libs/vertexai/langchain_google_vertexai/_anthropic_parsers.py b/libs/vertexai/langchain_google_vertexai/_anthropic_parsers.py
index a31759bf..d979f20e 100644
--- a/libs/vertexai/langchain_google_vertexai/_anthropic_parsers.py
+++ b/libs/vertexai/langchain_google_vertexai/_anthropic_parsers.py
@@ -1,4 +1,4 @@
-from typing import Any, List, Optional, Type
+from typing import Any, List, Optional, Type, Union
 
 from langchain_core.messages import AIMessage, ToolCall
 from langchain_core.messages.tool import tool_call
@@ -55,11 +55,18 @@ def _pydantic_parse(self, tool_call: dict) -> BaseModel:
         return cls_(**tool_call["args"])
 
 
-def _extract_tool_calls(content: List[dict]) -> List[ToolCall]:
-    tool_calls = []
-    for block in content:
-        if block["type"] == "tool_use":
+def _extract_tool_calls(content: Union[str, List[Union[str, dict]]]) -> List[ToolCall]:
+    """Extract tool calls from a list of content blocks."""
+    if isinstance(content, list):
+        tool_calls = []
+        for block in content:
+            if isinstance(block, str):
+                continue
+            if block["type"] != "tool_use":
+                continue
             tool_calls.append(
                 tool_call(name=block["name"], args=block["input"], id=block["id"])
             )
-    return tool_calls
+        return tool_calls
+    else:
+        return []
diff --git a/libs/vertexai/langchain_google_vertexai/model_garden.py b/libs/vertexai/langchain_google_vertexai/model_garden.py
index 7afa8071..ab553f6e 100644
--- a/libs/vertexai/langchain_google_vertexai/model_garden.py
+++ b/libs/vertexai/langchain_google_vertexai/model_garden.py
@@ -153,15 +153,20 @@ def validate_environment(self) -> Self:
             AsyncAnthropicVertex,
         )
 
+        if self.project is None:
+            raise ValueError("project is required for ChatAnthropicVertex")
+
+        project_id: str = self.project
+
         self.client = AnthropicVertex(
-            project_id=self.project,
+            project_id=project_id,
             region=self.location,
             max_retries=self.max_retries,
             access_token=self.access_token,
             credentials=self.credentials,
         )
         self.async_client = AsyncAnthropicVertex(
-            project_id=self.project,
+            project_id=project_id,
             region=self.location,
             max_retries=self.max_retries,
             access_token=self.access_token,
@@ -205,14 +210,18 @@ def _format_params(
 
     def _format_output(self, data: Any, **kwargs: Any) -> ChatResult:
         data_dict = data.model_dump()
-        content = [c for c in data_dict["content"] if c["type"] != "tool_use"]
-        content = content[0]["text"] if len(content) == 1 else content
+        content = data_dict["content"]
         llm_output = {
             k: v for k, v in data_dict.items() if k not in ("content", "role", "type")
         }
-        tool_calls = _extract_tool_calls(data_dict["content"])
-        if tool_calls:
-            msg = AIMessage(content=content, tool_calls=tool_calls)
+        if len(content) == 1 and content[0]["type"] == "text":
+            msg = AIMessage(content=content[0]["text"])
+        elif any(block["type"] == "tool_use" for block in content):
+            tool_calls = _extract_tool_calls(content)
+            msg = AIMessage(
+                content=content,
+                tool_calls=tool_calls,
+            )
         else:
             msg = AIMessage(content=content)
         # Collect token usage
diff --git a/libs/vertexai/poetry.lock b/libs/vertexai/poetry.lock
index 96425c97..b3b85815 100644
--- a/libs/vertexai/poetry.lock
+++ b/libs/vertexai/poetry.lock
@@ -152,7 +152,7 @@ files = [
 name = "anthropic"
 version = "0.37.1"
 description = "The official Python library for the anthropic API"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "anthropic-0.37.1-py3-none-any.whl", hash = "sha256:8f550f88906823752e2abf99fbe491fbc8d40bce4cb26b9663abdf7be990d721"},
@@ -393,7 +393,7 @@ files = [
 name = "distro"
 version = "1.9.0"
 description = "Distro - an OS platform information API"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
@@ -1255,7 +1255,7 @@ files = [
 name = "jiter"
 version = "0.7.0"
 description = "Fast iterable JSON parser."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "jiter-0.7.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:e14027f61101b3f5e173095d9ecf95c1cac03ffe45a849279bde1d97e559e314"},
@@ -2452,14 +2452,61 @@ description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
 files = [
+    {file = "SQLAlchemy-2.0.36-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:59b8f3adb3971929a3e660337f5dacc5942c2cdb760afcabb2614ffbda9f9f72"},
+    {file = "SQLAlchemy-2.0.36-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37350015056a553e442ff672c2d20e6f4b6d0b2495691fa239d8aa18bb3bc908"},
+    {file = "SQLAlchemy-2.0.36-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8318f4776c85abc3f40ab185e388bee7a6ea99e7fa3a30686580b209eaa35c08"},
     {file = "SQLAlchemy-2.0.36-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c245b1fbade9c35e5bd3b64270ab49ce990369018289ecfde3f9c318411aaa07"},
+    {file = "SQLAlchemy-2.0.36-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:69f93723edbca7342624d09f6704e7126b152eaed3cdbb634cb657a54332a3c5"},
     {file = "SQLAlchemy-2.0.36-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f9511d8dd4a6e9271d07d150fb2f81874a3c8c95e11ff9af3a2dfc35fe42ee44"},
     {file = "SQLAlchemy-2.0.36-cp310-cp310-win32.whl", hash = "sha256:c3f3631693003d8e585d4200730616b78fafd5a01ef8b698f6967da5c605b3fa"},
     {file = "SQLAlchemy-2.0.36-cp310-cp310-win_amd64.whl", hash = "sha256:a86bfab2ef46d63300c0f06936bd6e6c0105faa11d509083ba8f2f9d237fb5b5"},
+    {file = "SQLAlchemy-2.0.36-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fd3a55deef00f689ce931d4d1b23fa9f04c880a48ee97af488fd215cf24e2a6c"},
+    {file = "SQLAlchemy-2.0.36-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4f5e9cd989b45b73bd359f693b935364f7e1f79486e29015813c338450aa5a71"},
+    {file = "SQLAlchemy-2.0.36-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d0ddd9db6e59c44875211bc4c7953a9f6638b937b0a88ae6d09eb46cced54eff"},
     {file = "SQLAlchemy-2.0.36-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2519f3a5d0517fc159afab1015e54bb81b4406c278749779be57a569d8d1bb0d"},
+    {file = "SQLAlchemy-2.0.36-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59b1ee96617135f6e1d6f275bbe988f419c5178016f3d41d3c0abb0c819f75bb"},
     {file = "SQLAlchemy-2.0.36-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:39769a115f730d683b0eb7b694db9789267bcd027326cccc3125e862eb03bfd8"},
     {file = "SQLAlchemy-2.0.36-cp311-cp311-win32.whl", hash = "sha256:66bffbad8d6271bb1cc2f9a4ea4f86f80fe5e2e3e501a5ae2a3dc6a76e604e6f"},
     {file = "SQLAlchemy-2.0.36-cp311-cp311-win_amd64.whl", hash = "sha256:23623166bfefe1487d81b698c423f8678e80df8b54614c2bf4b4cfcd7c711959"},
+    {file = "SQLAlchemy-2.0.36-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f7b64e6ec3f02c35647be6b4851008b26cff592a95ecb13b6788a54ef80bbdd4"},
+    {file = "SQLAlchemy-2.0.36-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:46331b00096a6db1fdc052d55b101dbbfc99155a548e20a0e4a8e5e4d1362855"},
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     {file = "SQLAlchemy-2.0.36-py3-none-any.whl", hash = "sha256:fddbe92b4760c6f5d48162aef14824add991aeda8ddadb3c31d56eb15ca69f8e"},
     {file = "sqlalchemy-2.0.36.tar.gz", hash = "sha256:7f2767680b6d2398aea7082e45a774b2b0767b5c8d8ffb9c8b683088ea9b29c5"},
 ]
@@ -2890,4 +2937,4 @@ mistral = ["langchain-mistralai"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "12cbda598b827846eef4fc9b3d6a44ec9d187e2b8d5bf37b03f1722954cfcb90"
+content-hash = "8931477e695bb3f50481e75964dddfd6b644582360ac9e4b40bb8b445d8ed9f7"
diff --git a/libs/vertexai/pyproject.toml b/libs/vertexai/pyproject.toml
index bd80636f..916f0963 100644
--- a/libs/vertexai/pyproject.toml
+++ b/libs/vertexai/pyproject.toml
@@ -42,6 +42,7 @@ numpy = [
 google-api-python-client = "^2.117.0"
 langchain = "^0.3.7"
 langchain-tests = "0.3.1"
+anthropic = { extras = ["vertexai"], version = ">=0.35.0,<1" }
 
 
 [tool.codespell]
diff --git a/libs/vertexai/tests/integration_tests/test_model_garden.py b/libs/vertexai/tests/integration_tests/test_model_garden.py
index a0946a6c..6b90d591 100644
--- a/libs/vertexai/tests/integration_tests/test_model_garden.py
+++ b/libs/vertexai/tests/integration_tests/test_model_garden.py
@@ -168,7 +168,7 @@ async def test_anthropic_async() -> None:
 def _check_tool_calls(response: BaseMessage, expected_name: str) -> None:
     """Check tool calls are as expected."""
     assert isinstance(response, AIMessage)
-    assert isinstance(response.content, str)
+    assert isinstance(response.content, list)
     tool_calls = response.tool_calls
     assert len(tool_calls) == 1
     tool_call = tool_calls[0]
diff --git a/libs/vertexai/tests/unit_tests/test_chat_models.py b/libs/vertexai/tests/unit_tests/test_chat_models.py
index e9da74ea..06567e71 100644
--- a/libs/vertexai/tests/unit_tests/test_chat_models.py
+++ b/libs/vertexai/tests/unit_tests/test_chat_models.py
@@ -41,6 +41,7 @@
     _parse_examples,
     _parse_response_candidate,
 )
+from langchain_google_vertexai.model_garden import ChatAnthropicVertex
 
 
 def test_init() -> None:
@@ -1067,3 +1068,49 @@ def test_init_client_with_custom_api() -> None:
         transport = mock_prediction_service.call_args.kwargs["transport"]
         assert client_options.api_endpoint == "https://example.com"
         assert transport == "rest"
+
+
+def test_anthropic_format_output() -> None:
+    """Test format output handles different content structures correctly."""
+
+    @dataclass
+    class Usage:
+        input_tokens: int
+        output_tokens: int
+
+    @dataclass
+    class Message:
+        def model_dump(self):
+            return {
+                "content": [
+                    {
+                        "type": "tool_use",
+                        "id": "123",
+                        "name": "calculator",
+                        "input": {"number": 42},
+                    }
+                ],
+                "model": "baz",
+                "role": "assistant",
+                "usage": Usage(input_tokens=2, output_tokens=1),
+                "type": "message",
+            }
+
+        usage: Usage
+
+    test_msg = Message(usage=Usage(input_tokens=2, output_tokens=1))
+
+    model = ChatAnthropicVertex(project="test-project", location="test-location")
+    result = model._format_output(test_msg)
+
+    message = result.generations[0].message
+    assert isinstance(message, AIMessage)
+    assert message.content == test_msg.model_dump()["content"]
+    assert len(message.tool_calls) == 1
+    assert message.tool_calls[0]["name"] == "calculator"
+    assert message.tool_calls[0]["args"] == {"number": 42}
+    assert message.usage_metadata == {
+        "input_tokens": 2,
+        "output_tokens": 1,
+        "total_tokens": 3,
+    }

From d6749c36d5a6e07015017ee358a60deafa72df8b Mon Sep 17 00:00:00 2001
From: Jeff Bryner <jeff@jeffbryner.com>
Date: Wed, 27 Nov 2024 00:22:49 -0800
Subject: [PATCH 42/49] Update GoogleDriveLoader to allow bring your own
 credentials (#605)

---
 libs/community/langchain_google_community/drive.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/libs/community/langchain_google_community/drive.py b/libs/community/langchain_google_community/drive.py
index 8bdb93ff..319b56f7 100644
--- a/libs/community/langchain_google_community/drive.py
+++ b/libs/community/langchain_google_community/drive.py
@@ -27,6 +27,8 @@ class GoogleDriveLoader(BaseLoader, BaseModel):
     """Path to the credentials file."""
     token_path: Path = Path.home() / ".credentials" / "token.json"
     """Path to the token file."""
+    credentials: Any = None
+    """Your own google credentials created via your own mechanism"""
     folder_id: Optional[str] = None
     """The folder id to load from."""
     document_ids: Optional[List[str]] = None
@@ -276,6 +278,11 @@ def _load_credentials(self) -> Any:
         if self.token_path.exists():
             creds = Credentials.from_authorized_user_file(str(self.token_path), SCOPES)
 
+        if self.credentials:
+            # use whatever was passed to us
+            creds = self.credentials
+            return creds
+
         if not creds or not creds.valid:
             if creds and creds.expired and creds.refresh_token:
                 creds.refresh(Request())

From 69be4529a8b0b91808634b782cb08871bcfb8bd2 Mon Sep 17 00:00:00 2001
From: Maksim Metelskii <maxmet91@gmail.com>
Date: Wed, 27 Nov 2024 15:23:31 +0700
Subject: [PATCH 43/49] genai[feat]: add filetype detection for images from
 bytes (#616)

---
 .../langchain_google_genai/_image_utils.py    |  7 +++++
 libs/genai/poetry.lock                        | 13 ++++++++-
 libs/genai/pyproject.toml                     |  1 +
 .../integration_tests/test_chat_models.py     | 27 +++++++++++++++++++
 4 files changed, 47 insertions(+), 1 deletion(-)

diff --git a/libs/genai/langchain_google_genai/_image_utils.py b/libs/genai/langchain_google_genai/_image_utils.py
index a0baba49..35835778 100644
--- a/libs/genai/langchain_google_genai/_image_utils.py
+++ b/libs/genai/langchain_google_genai/_image_utils.py
@@ -8,6 +8,7 @@
 from typing import Any, Dict
 from urllib.parse import urlparse
 
+import filetype  # type: ignore[import]
 import requests
 from google.ai.generativelanguage_v1beta.types import Part
 
@@ -87,7 +88,13 @@ def load_part(self, image_string: str) -> Part:
             raise ValueError(msg)
 
         inline_data: Dict[str, Any] = {"data": bytes_}
+
         mime_type, _ = mimetypes.guess_type(image_string)
+        if not mime_type:
+            kind = filetype.guess(bytes_)
+            if kind:
+                mime_type = kind.mime
+
         if mime_type:
             inline_data["mime_type"] = mime_type
 
diff --git a/libs/genai/poetry.lock b/libs/genai/poetry.lock
index 4f0f797f..e3d68883 100644
--- a/libs/genai/poetry.lock
+++ b/libs/genai/poetry.lock
@@ -211,6 +211,17 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "filetype"
+version = "1.2.0"
+description = "Infer file type and MIME type of any file/buffer. No external dependencies."
+optional = false
+python-versions = "*"
+files = [
+    {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"},
+    {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
+]
+
 [[package]]
 name = "freezegun"
 version = "1.5.1"
@@ -1470,4 +1481,4 @@ watchmedo = ["PyYAML (>=3.10)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "988b5a557506419d3750476d499929c8e3d3f7a0f37f4ca8c5ec5064227f2671"
+content-hash = "07647d94d5cbab0a6be38f492be4a97837ad4164d1437d9a11723235a34c9e45"
diff --git a/libs/genai/pyproject.toml b/libs/genai/pyproject.toml
index 3f3e4105..a5344385 100644
--- a/libs/genai/pyproject.toml
+++ b/libs/genai/pyproject.toml
@@ -15,6 +15,7 @@ python = ">=3.9,<4.0"
 langchain-core = ">=0.3.15,<0.4"
 google-generativeai = "^0.8.0"
 pydantic = ">=2,<3"
+filetype = "^1.2.0"
 
 [tool.poetry.group.test]
 optional = true
diff --git a/libs/genai/tests/integration_tests/test_chat_models.py b/libs/genai/tests/integration_tests/test_chat_models.py
index 225ffa79..3a15b9d4 100644
--- a/libs/genai/tests/integration_tests/test_chat_models.py
+++ b/libs/genai/tests/integration_tests/test_chat_models.py
@@ -158,6 +158,33 @@ def test_chat_google_genai_invoke_multimodal() -> None:
         assert len(chunk.content.strip()) > 0
 
 
+def test_chat_google_genai_invoke_multimodal_by_url() -> None:
+    messages: list = [
+        HumanMessage(
+            content=[
+                {
+                    "type": "text",
+                    "text": "Guess what's in this picture! You have 3 guesses.",
+                },
+                {
+                    "type": "image_url",
+                    "image_url": "https://picsum.photos/seed/picsum/200/300",
+                },
+            ]
+        ),
+    ]
+    llm = ChatGoogleGenerativeAI(model=_VISION_MODEL)
+    response = llm.invoke(messages)
+    assert isinstance(response.content, str)
+    assert len(response.content.strip()) > 0
+
+    # Try streaming
+    for chunk in llm.stream(messages):
+        print(chunk)  # noqa: T201
+        assert isinstance(chunk.content, str)
+        assert len(chunk.content.strip()) > 0
+
+
 def test_chat_google_genai_invoke_multimodal_multiple_messages() -> None:
     messages: list = [
         HumanMessage(content="Hi there"),

From ef446127190951ebb89a55914c7e489423534639 Mon Sep 17 00:00:00 2001
From: David Gang <michaelgang@gmail.com>
Date: Wed, 27 Nov 2024 10:23:49 +0200
Subject: [PATCH 44/49] [vertexai]: Use one gcs client in Imageutils  (#609)

---
 .../vertexai/langchain_google_vertexai/_anthropic_utils.py | 2 +-
 libs/vertexai/langchain_google_vertexai/_image_utils.py    | 7 ++++++-
 libs/vertexai/langchain_google_vertexai/model_garden.py    | 2 +-
 3 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py b/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py
index 976398fa..dcc3f232 100644
--- a/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py
@@ -31,7 +31,7 @@
 from pydantic import BaseModel
 
 if TYPE_CHECKING:
-    from anthropic.types import RawMessageStreamEvent  # type: ignore
+    from anthropic.types import RawMessageStreamEvent
 
 _message_type_lookups = {
     "human": "user",
diff --git a/libs/vertexai/langchain_google_vertexai/_image_utils.py b/libs/vertexai/langchain_google_vertexai/_image_utils.py
index 80ecd74c..e95b417c 100644
--- a/libs/vertexai/langchain_google_vertexai/_image_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_image_utils.py
@@ -4,6 +4,7 @@
 import os
 import re
 from enum import Enum
+from functools import cached_property
 from typing import Dict, Optional, Union
 from urllib.parse import urlparse
 
@@ -43,6 +44,10 @@ def __init__(
         """
         self._project = project
 
+    @cached_property
+    def _storage_client(self):
+        return storage.Client(project=self._project)
+
     def load_bytes(self, image_string: str) -> bytes:
         """Routes to the correct loader based on the image_string.
 
@@ -198,7 +203,7 @@ def _blob_from_gcs(self, gcs_uri: str) -> storage.Blob:
             storage.Blob
         """
 
-        gcs_client = storage.Client(project=self._project)
+        gcs_client = self._storage_client
         blob = storage.Blob.from_string(gcs_uri, gcs_client)
         blob.reload(client=gcs_client)
         return blob
diff --git a/libs/vertexai/langchain_google_vertexai/model_garden.py b/libs/vertexai/langchain_google_vertexai/model_garden.py
index ab553f6e..871f5065 100644
--- a/libs/vertexai/langchain_google_vertexai/model_garden.py
+++ b/libs/vertexai/langchain_google_vertexai/model_garden.py
@@ -148,7 +148,7 @@ def __init__(self, **kwargs: Any) -> None:
 
     @model_validator(mode="after")
     def validate_environment(self) -> Self:
-        from anthropic import (  # type: ignore
+        from anthropic import (
             AnthropicVertex,
             AsyncAnthropicVertex,
         )

From 7df7cad115076dd3127835529a8bfc5dc9fc60f0 Mon Sep 17 00:00:00 2001
From: Leonid Kuligin <lkuligin@yandex.ru>
Date: Wed, 27 Nov 2024 12:52:17 +0100
Subject: [PATCH 45/49] speed up test execution (#619)

---
 .../_anthropic_utils.py                       |    2 +-
 .../langchain_google_vertexai/model_garden.py |    2 +-
 libs/vertexai/poetry.lock                     | 1230 ++++++++---------
 libs/vertexai/pyproject.toml                  |    5 +-
 libs/vertexai/tests/conftest.py               |    2 +-
 .../integration_tests/test_chat_models.py     |    4 +
 .../integration_tests/test_model_garden.py    |    1 +
 .../tests/integration_tests/test_standard.py  |    1 +
 8 files changed, 612 insertions(+), 635 deletions(-)

diff --git a/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py b/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py
index dcc3f232..e9e9b861 100644
--- a/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py
@@ -31,7 +31,7 @@
 from pydantic import BaseModel
 
 if TYPE_CHECKING:
-    from anthropic.types import RawMessageStreamEvent
+    from anthropic.types import RawMessageStreamEvent  # type: ignore[import-not-found]
 
 _message_type_lookups = {
     "human": "user",
diff --git a/libs/vertexai/langchain_google_vertexai/model_garden.py b/libs/vertexai/langchain_google_vertexai/model_garden.py
index 871f5065..67b30e0c 100644
--- a/libs/vertexai/langchain_google_vertexai/model_garden.py
+++ b/libs/vertexai/langchain_google_vertexai/model_garden.py
@@ -148,7 +148,7 @@ def __init__(self, **kwargs: Any) -> None:
 
     @model_validator(mode="after")
     def validate_environment(self) -> Self:
-        from anthropic import (
+        from anthropic import (  # type: ignore[import-not-found]
             AnthropicVertex,
             AsyncAnthropicVertex,
         )
diff --git a/libs/vertexai/poetry.lock b/libs/vertexai/poetry.lock
index b3b85815..e3697d77 100644
--- a/libs/vertexai/poetry.lock
+++ b/libs/vertexai/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -13,112 +13,98 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.10"
+version = "3.11.7"
 description = "Async http client/server framework (asyncio)"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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-    {file = "aiohttp-3.10.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7b06b7843929e41a94ea09eb1ce3927865387e3e23ebe108e0d0d09b08d25be9"},
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 ]
 
 [package.dependencies]
 aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.12.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -150,13 +136,13 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.37.1"
+version = "0.39.0"
 description = "The official Python library for the anthropic API"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "anthropic-0.39.0.tar.gz", hash = "sha256:94671cc80765f9ce693f76d63a97ee9bef4c2d6063c044e983d21a2e262f63ba"},
 ]
 
 [package.dependencies]
@@ -166,7 +152,6 @@ httpx = ">=0.23.0,<1"
 jiter = ">=0.4.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
-tokenizers = ">=0.13.0"
 typing-extensions = ">=4.7,<5"
 
 [package.extras]
@@ -425,6 +410,20 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "execnet"
+version = "2.1.1"
+description = "execnet: rapid multi-Python deployment"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3"},
+]
+
+[package.extras]
+testing = ["hatch", "pre-commit", "pytest", "tox"]
+
 [[package]]
 name = "filelock"
 version = "3.16.1"
@@ -597,25 +596,25 @@ tqdm = ["tqdm"]
 
 [[package]]
 name = "google-api-core"
-version = "2.22.0"
+version = "2.23.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
 google-auth = ">=2.14.1,<3.0.dev0"
 googleapis-common-protos = ">=1.56.2,<2.0.dev0"
 grpcio = [
-    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 proto-plus = [
     {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""},
@@ -632,13 +631,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.151.0"
+version = "2.154.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "google_api_python_client-2.154.0-py2.py3-none-any.whl", hash = "sha256:a521bbbb2ec0ba9d6f307cdd64ed6e21eeac372d1bd7493a4ab5022941f784ad"},
+    {file = "google_api_python_client-2.154.0.tar.gz", hash = "sha256:1b420062e03bfcaa1c79e2e00a612d29a6a934151ceb3d272fe150a656dc8f17"},
 ]
 
 [package.dependencies]
@@ -650,13 +649,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.35.0"
+version = "2.36.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google_auth-2.35.0-py2.py3-none-any.whl", hash = "sha256:25df55f327ef021de8be50bad0dfd4a916ad0de96da86cd05661c9297723ad3f"},
-    {file = "google_auth-2.35.0.tar.gz", hash = "sha256:f4c64ed4e01e8e8b646ef34c018f8bf3338df0c8e37d8b3bba40e7f574a3278a"},
+    {file = "google_auth-2.36.0-py2.py3-none-any.whl", hash = "sha256:51a15d47028b66fd36e5c64a82d2d57480075bccc7da37cde257fc94177a61fb"},
+    {file = "google_auth-2.36.0.tar.gz", hash = "sha256:545e9618f2df0bcbb7dcbc45a546485b1212624716975a1ea5ae8149ce769ab1"},
 ]
 
 [package.dependencies]
@@ -688,13 +687,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.71.0"
+version = "1.73.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.71.0.tar.gz", hash = "sha256:29f0923d8c74d07a48f8ad600409405d03c73138b4efaf46db703d31c1e165b8"},
-    {file = "google_cloud_aiplatform-1.71.0-py2.py3-none-any.whl", hash = "sha256:3473802f5072ee4e90e6a64f75a0d3d905db60449117d0fd28481f4ea01d8c3d"},
+    {file = "google_cloud_aiplatform-1.73.0-py2.py3-none-any.whl", hash = "sha256:6f9aebc1cb2277048093f17214c5f4ec9129fa347b8b22d784f780b12b8865a9"},
+    {file = "google_cloud_aiplatform-1.73.0.tar.gz", hash = "sha256:687d4d6dd26439db42d38b835ea0da7ebb75c20ca8e17666669536b253637e74"},
 ]
 
 [package.dependencies]
@@ -712,13 +711,13 @@ shapely = "<3.0.0dev"
 
 [package.extras]
 autologging = ["mlflow (>=1.27.0,<=2.16.0)"]
-cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
 endpoint = ["requests (>=2.28.1)"]
-evaluation = ["pandas (>=1.0.0,<2.2.0)", "tqdm (>=4.23.0)"]
-full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
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-langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "orjson (<=3.10.6)", "pydantic (>=2.6.3,<3)", "pytest-xdist", "tenacity (<=8.3)"]
+evaluation = ["pandas (>=1.0.0)", "tqdm (>=4.23.0)"]
+full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+langchain = ["langchain (>=0.1.16,<0.4)", "langchain-core (<0.4)", "langchain-google-vertexai (<3)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)"]
+langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.4)", "langchain-core (<0.4)", "langchain-google-vertexai (<3)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist"]
 lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
 metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
 pipelines = ["pyyaml (>=5.3.1,<7)"]
@@ -727,21 +726,21 @@ private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "setuptools (<70.0.0)"]
 ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train]", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
 reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
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 tokenization = ["sentencepiece (>=0.2.0)"]
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 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
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 name = "google-cloud-bigquery"
-version = "3.26.0"
+version = "3.27.0"
 description = "Google BigQuery API client library"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
@@ -798,8 +797,8 @@ google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extr
 google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
 google-cloud-core = ">=1.4.0,<3.0.0dev"
 proto-plus = [
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     {version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
+    {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
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@@ -808,13 +807,13 @@ libcst = ["libcst (>=0.2.5)"]
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.13.0"
+version = "1.13.1"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
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 [[package]]
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+version = "1.66.0"
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 [package.dependencies]
@@ -1029,85 +1028,85 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 
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 [[package]]
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 name = "langchain"
-version = "0.3.7"
+version = "0.3.8"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.3.15,<0.4.0"
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 langsmith = ">=0.1.17,<0.2.0"
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-    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
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 pydantic = ">=2.7.4,<3.0.0"
 PyYAML = ">=5.3"
@@ -1387,55 +1388,45 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.15"
+version = "0.3.21"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = ">=3.9,<4.0"
-files = []
-develop = false
+python-versions = "<4.0,>=3.9"
+files = [
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+langsmith = ">=0.1.125,<0.2.0"
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+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
 typing-extensions = ">=4.7"
 
-[package.source]
-type = "git"
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-resolved_reference = "54cb80c7780f67fa3f8340b899eea7c4f28cdfe0"
-subdirectory = "libs/core"
-
 [[package]]
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+version = "0.2.2"
 description = "An integration package connecting Mistral and LangChain"
 optional = false
-python-versions = ">=3.9,<4.0"
-files = []
-develop = false
+python-versions = "<4.0,>=3.9"
+files = [
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+langchain-core = ">=0.3.15,<0.4.0"
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-[package.source]
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-reference = "HEAD"
-resolved_reference = "54cb80c7780f67fa3f8340b899eea7c4f28cdfe0"
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-
 [[package]]
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@@ -1455,32 +1446,32 @@ syrupy = ">=4,<5"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.1"
+version = "0.3.2"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 [package.dependencies]
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+langchain-core = ">=0.3.15,<0.4.0"
 
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 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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@@ -1658,40 +1649,47 @@ files = [
 
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 [[package]]
 name = "packaging"
-version = "24.1"
+version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -2199,6 +2214,23 @@ pytest = ">=6.2.5"
 [package.extras]
 dev = ["pre-commit", "pytest-asyncio", "tox"]
 
+[[package]]
+name = "pytest-order"
+version = "1.3.0"
+description = "pytest plugin to run your tests in a specific order"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+pytest = [
+    {version = ">=5.0", markers = "python_version < \"3.10\""},
+    {version = ">=6.2.4", markers = "python_version >= \"3.10\""},
+]
+
 [[package]]
 name = "pytest-watcher"
 version = "0.3.5"
@@ -2214,6 +2246,26 @@ files = [
 tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version < \"3.11\""}
 watchdog = ">=2.0.0"
 
+[[package]]
+name = "pytest-xdist"
+version = "3.6.1"
+description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pytest_xdist-3.6.1-py3-none-any.whl", hash = "sha256:9ed4adfb68a016610848639bb7e02c9352d5d9f03d04809919e2dafc3be4cca7"},
+    {file = "pytest_xdist-3.6.1.tar.gz", hash = "sha256:ead156a4db231eec769737f57668ef58a2084a34b2e55c4a8fa20d861107300d"},
+]
+
+[package.dependencies]
+execnet = ">=2.1"
+pytest = ">=7.0.0"
+
+[package.extras]
+psutil = ["psutil (>=3.0)"]
+setproctitle = ["setproctitle"]
+testing = ["filelock"]
+
 [[package]]
 name = "python-dateutil"
 version = "2.9.0.post0"
@@ -2542,13 +2594,13 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "syrupy"
-version = "4.7.2"
+version = "4.8.0"
 description = "Pytest Snapshot Test Utility"
 optional = false
 python-versions = ">=3.8.1"
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 [package.dependencies]
@@ -2571,111 +2623,26 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
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 [package.dependencies]
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+discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
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 [package.extras]
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 ]
 
 [package.dependencies]
@@ -2937,4 +2905,4 @@ mistral = ["langchain-mistralai"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "8931477e695bb3f50481e75964dddfd6b644582360ac9e4b40bb8b445d8ed9f7"
+content-hash = "b047522f04bcdfd163bbe017fcb1f616b81f51dc342e61edc14e8f70d1a1bc2f"
diff --git a/libs/vertexai/pyproject.toml b/libs/vertexai/pyproject.toml
index 916f0963..d3e494b2 100644
--- a/libs/vertexai/pyproject.toml
+++ b/libs/vertexai/pyproject.toml
@@ -20,13 +20,15 @@ anthropic = { extras = ["vertexai"], version = ">=0.35.0,<1", optional = true }
 langchain-mistralai = { version = ">=0.2.0,<1", optional = true }
 httpx = "^0.27.0"
 httpx-sse = "^0.4.0"
-pydantic = ">=2,<3"
+pydantic = ">=2.9,<2.10"
 
 [tool.poetry.group.test]
 optional = true
 
 [tool.poetry.group.test.dependencies]
 pytest = "^7.3.0"
+pytest-xdist = "^3.0"
+pytest-order =  "^1.3"
 freezegun = "^1.2.2"
 pytest-mock = "^3.10.0"
 syrupy = "^4.0.2"
@@ -81,6 +83,7 @@ mypy = "^1"
 types-google-cloud-ndb = "^2.2.0.20240106"
 types-protobuf = "^4.24.0.4"
 types-requests = "^2.31.0"
+anthropic = { extras = ["vertexai"], version = ">=0.35.0,<1", optional = true }
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/libs/vertexai/tests/conftest.py b/libs/vertexai/tests/conftest.py
index c61fab47..01162996 100644
--- a/libs/vertexai/tests/conftest.py
+++ b/libs/vertexai/tests/conftest.py
@@ -11,7 +11,7 @@
 _LONG_FLAG = "long"
 _EXTENDED_FLAG = "extended"
 
-_PYTEST_FLAGS = [_RELEASE_FLAG, _GPU_FLAG, _LONG_FLAG, _EXTENDED_FLAG]
+_PYTEST_FLAGS = [_RELEASE_FLAG, _GPU_FLAG, _LONG_FLAG, _EXTENDED_FLAG, "first"]
 
 
 def pytest_addoption(parser: pytest.Parser) -> None:
diff --git a/libs/vertexai/tests/integration_tests/test_chat_models.py b/libs/vertexai/tests/integration_tests/test_chat_models.py
index e610f928..fc33d363 100644
--- a/libs/vertexai/tests/integration_tests/test_chat_models.py
+++ b/libs/vertexai/tests/integration_tests/test_chat_models.py
@@ -219,6 +219,7 @@ def test_multimodal_media_file_uri(file_uri, mime_type) -> None:
 
 @pytest.mark.release
 @pytest.mark.parametrize("file_uri,mime_type", multimodal_inputs)
+@pytest.mark.first
 def test_multimodal_media_inline_base64(file_uri, mime_type) -> None:
     llm = ChatVertexAI(model_name="gemini-1.5-pro-001", rate_limiter=rate_limiter)
     storage_client = storage.Client()
@@ -239,6 +240,7 @@ def test_multimodal_media_inline_base64(file_uri, mime_type) -> None:
 
 
 @pytest.mark.release
+@pytest.mark.first
 def test_multimodal_media_inline_base64_template() -> None:
     llm = ChatVertexAI(model_name="gemini-1.5-pro-001")
     prompt_template = ChatPromptTemplate.from_messages(
@@ -844,6 +846,7 @@ def test_structured_output_schema_enum():
 
 
 @pytest.mark.extended
+@pytest.mark.first
 def test_context_catching():
     system_instruction = """
     
@@ -903,6 +906,7 @@ def test_context_catching():
 
 
 @pytest.mark.extended
+@pytest.mark.first
 def test_context_catching_tools():
     from langchain import agents
 
diff --git a/libs/vertexai/tests/integration_tests/test_model_garden.py b/libs/vertexai/tests/integration_tests/test_model_garden.py
index 6b90d591..832cfb6a 100644
--- a/libs/vertexai/tests/integration_tests/test_model_garden.py
+++ b/libs/vertexai/tests/integration_tests/test_model_garden.py
@@ -81,6 +81,7 @@ def test_model_garden_generate(
 
 @pytest.mark.extended
 @pytest.mark.asyncio
+@pytest.mark.first
 @pytest.mark.parametrize(
     "endpoint_os_variable_name,result_arg",
     [("FALCON_ENDPOINT_ID", "generated_text"), ("LLAMA_ENDPOINT_ID", None)],
diff --git a/libs/vertexai/tests/integration_tests/test_standard.py b/libs/vertexai/tests/integration_tests/test_standard.py
index a6dfc60a..960795f0 100644
--- a/libs/vertexai/tests/integration_tests/test_standard.py
+++ b/libs/vertexai/tests/integration_tests/test_standard.py
@@ -12,6 +12,7 @@
 rate_limiter = InMemoryRateLimiter(requests_per_second=0.5)
 
 
+@pytest.mark.first
 class TestGeminiAIStandard(ChatModelIntegrationTests):
     @property
     def chat_model_class(self) -> Type[BaseChatModel]:

From f935fdab07f58e9886bc7dbbb0eccbe51684da64 Mon Sep 17 00:00:00 2001
From: Leonid Kuligin <lkuligin@yandex.ru>
Date: Wed, 27 Nov 2024 13:11:41 +0100
Subject: [PATCH 46/49] release genai 2.0.6 (#620)

---
 libs/genai/pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/genai/pyproject.toml b/libs/genai/pyproject.toml
index a5344385..3bd5caab 100644
--- a/libs/genai/pyproject.toml
+++ b/libs/genai/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-genai"
-version = "2.0.5"
+version = "2.0.6"
 description = "An integration package connecting Google's genai package and LangChain"
 authors = []
 readme = "README.md"

From 6670c93c412dbf3e953b452f22915463b501de8d Mon Sep 17 00:00:00 2001
From: Leonid Kuligin <lkuligin@yandex.ru>
Date: Wed, 27 Nov 2024 14:47:42 +0100
Subject: [PATCH 47/49] release community 2.0.3 (#622)

---
 libs/community/pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml
index c628b785..9b7eb7fe 100644
--- a/libs/community/pyproject.toml
+++ b/libs/community/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-community"
-version = "2.0.2"
+version = "2.0.3"
 description = "An integration package connecting miscellaneous Google's products and LangChain"
 authors = []
 readme = "README.md"

From 597f8840ee6020ea28f497ff6d4f92c05cf89e32 Mon Sep 17 00:00:00 2001
From: Leonid Kuligin <lkuligin@yandex.ru>
Date: Wed, 27 Nov 2024 15:18:42 +0100
Subject: [PATCH 48/49] fix integration tests (#621)

---
 .../_anthropic_utils.py                       |  4 +++-
 .../langchain_google_vertexai/model_garden.py |  2 +-
 .../vectorstores/document_storage.py          |  7 ++++++-
 libs/vertexai/poetry.lock                     | 19 ++++++++++++++++++-
 libs/vertexai/pyproject.toml                  |  1 +
 .../integration_tests/test_chat_models.py     |  1 +
 .../integration_tests/test_evaluation.py      |  2 ++
 .../tests/integration_tests/test_maas.py      | 14 ++++++--------
 .../integration_tests/test_model_garden.py    |  1 +
 .../integration_tests/test_vision_models.py   |  1 +
 10 files changed, 40 insertions(+), 12 deletions(-)

diff --git a/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py b/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py
index e9e9b861..cb12c633 100644
--- a/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py
+++ b/libs/vertexai/langchain_google_vertexai/_anthropic_utils.py
@@ -31,7 +31,9 @@
 from pydantic import BaseModel
 
 if TYPE_CHECKING:
-    from anthropic.types import RawMessageStreamEvent  # type: ignore[import-not-found]
+    from anthropic.types import (
+        RawMessageStreamEvent,  # type: ignore[unused-ignore, import-not-found]
+    )
 
 _message_type_lookups = {
     "human": "user",
diff --git a/libs/vertexai/langchain_google_vertexai/model_garden.py b/libs/vertexai/langchain_google_vertexai/model_garden.py
index 67b30e0c..9070ac05 100644
--- a/libs/vertexai/langchain_google_vertexai/model_garden.py
+++ b/libs/vertexai/langchain_google_vertexai/model_garden.py
@@ -148,7 +148,7 @@ def __init__(self, **kwargs: Any) -> None:
 
     @model_validator(mode="after")
     def validate_environment(self) -> Self:
-        from anthropic import (  # type: ignore[import-not-found]
+        from anthropic import (  # type: ignore[unused-ignore, import-not-found]
             AnthropicVertex,
             AsyncAnthropicVertex,
         )
diff --git a/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py b/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py
index bfaa5cf8..2d6147b8 100644
--- a/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py
+++ b/libs/vertexai/langchain_google_vertexai/vectorstores/document_storage.py
@@ -292,10 +292,15 @@ def mset(self, key_value_pairs: Sequence[Tuple[str, Document]]) -> None:
             entities = []
             for key, document in zip(keys, documents):
                 entity = self._client.entity(
-                    key=key, exclude_from_indexes=self.exclude_from_indexes
+                    key=key,
+                    exclude_from_indexes=self.exclude_from_indexes
+                    if self.exclude_from_indexes
+                    else [],
                 )
                 metadata_entity = self._client.entity(
                     exclude_from_indexes=self.exclude_from_indexes
+                    if self.exclude_from_indexes
+                    else []
                 )
                 metadata_entity.update(document.metadata)
                 entity[self._text_property_name] = document.page_content
diff --git a/libs/vertexai/poetry.lock b/libs/vertexai/poetry.lock
index e3697d77..d9e6edc2 100644
--- a/libs/vertexai/poetry.lock
+++ b/libs/vertexai/poetry.lock
@@ -2231,6 +2231,23 @@ pytest = [
     {version = ">=6.2.4", markers = "python_version >= \"3.10\""},
 ]
 
+[[package]]
+name = "pytest-retry"
+version = "1.6.3"
+description = "Adds the ability to retry flaky tests in CI environments"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "pytest_retry-1.6.3-py3-none-any.whl", hash = "sha256:e96f7df77ee70b0838d1085f9c3b8b5b7d74bf8947a0baf32e2b8c71b27683c8"},
+    {file = "pytest_retry-1.6.3.tar.gz", hash = "sha256:36ccfa11c8c8f9ddad5e20375182146d040c20c4a791745139c5a99ddf1b557d"},
+]
+
+[package.dependencies]
+pytest = ">=7.0.0"
+
+[package.extras]
+dev = ["black", "flake8", "isort", "mypy"]
+
 [[package]]
 name = "pytest-watcher"
 version = "0.3.5"
@@ -2905,4 +2922,4 @@ mistral = ["langchain-mistralai"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "b047522f04bcdfd163bbe017fcb1f616b81f51dc342e61edc14e8f70d1a1bc2f"
+content-hash = "ac58beb4bb70401121f19c64af1782eee2aebfc0d17d9fe46463559adceb066f"
diff --git a/libs/vertexai/pyproject.toml b/libs/vertexai/pyproject.toml
index d3e494b2..4213370c 100644
--- a/libs/vertexai/pyproject.toml
+++ b/libs/vertexai/pyproject.toml
@@ -29,6 +29,7 @@ optional = true
 pytest = "^7.3.0"
 pytest-xdist = "^3.0"
 pytest-order =  "^1.3"
+pytest-retry = "^1.6.3"
 freezegun = "^1.2.2"
 pytest-mock = "^3.10.0"
 syrupy = "^4.0.2"
diff --git a/libs/vertexai/tests/integration_tests/test_chat_models.py b/libs/vertexai/tests/integration_tests/test_chat_models.py
index fc33d363..f9c860a7 100644
--- a/libs/vertexai/tests/integration_tests/test_chat_models.py
+++ b/libs/vertexai/tests/integration_tests/test_chat_models.py
@@ -693,6 +693,7 @@ class Response(BaseModel):
     assert isinstance(response, Response)
 
 
+@pytest.mark.flaky(retries=3)
 @pytest.mark.release
 def test_chat_vertexai_gemini_function_calling_with_multiple_parts() -> None:
     @tool
diff --git a/libs/vertexai/tests/integration_tests/test_evaluation.py b/libs/vertexai/tests/integration_tests/test_evaluation.py
index e5757e34..0c866feb 100644
--- a/libs/vertexai/tests/integration_tests/test_evaluation.py
+++ b/libs/vertexai/tests/integration_tests/test_evaluation.py
@@ -29,6 +29,7 @@ def test_evaluate() -> None:
 
 
 @pytest.mark.extended
+@pytest.mark.flaky(retries=3)
 def test_evaluate_strings() -> None:
     evaluator = VertexStringEvaluator(
         metric="safety", project_id=os.environ["PROJECT_ID"]
@@ -40,6 +41,7 @@ def test_evaluate_strings() -> None:
 
 
 @pytest.mark.extended
+@pytest.mark.flaky(retries=3)
 async def test_aevaluate_strings() -> None:
     evaluator = VertexStringEvaluator(
         metric="question_answering_quality", project_id=os.environ["PROJECT_ID"]
diff --git a/libs/vertexai/tests/integration_tests/test_maas.py b/libs/vertexai/tests/integration_tests/test_maas.py
index b5419f8f..046bd94f 100644
--- a/libs/vertexai/tests/integration_tests/test_maas.py
+++ b/libs/vertexai/tests/integration_tests/test_maas.py
@@ -18,10 +18,7 @@
 )
 
 model_names = _LLAMA_MODELS + _MISTRAL_MODELS
-model_names_with_tools_support = _MISTRAL_MODELS + [
-    "meta/llama3-405b-instruct-maas",
-    "meta/llama-3.2-90b-vision-instruct-maas",
-]
+model_names_with_tools_support = _MISTRAL_MODELS + ["meta/llama3-405b-instruct-maas"]
 
 
 @pytest.mark.extended
@@ -45,8 +42,8 @@ async def test_agenerate(model_name: str) -> None:
 @pytest.mark.extended
 @pytest.mark.parametrize("model_name", model_names)
 def test_stream(model_name: str) -> None:
-    # b/371631576
-    if model_name == "meta/llama3-8b-instruct-maas":
+    # streaming currently fails with mistral-nemo@2407
+    if model_name == "mistral-nemo@2407":
         return
     llm = get_vertex_maas_model(model_name=model_name, location="us-central1")
     output = llm.stream("What is the meaning of life?")
@@ -57,8 +54,8 @@ def test_stream(model_name: str) -> None:
 @pytest.mark.extended
 @pytest.mark.parametrize("model_name", model_names)
 async def test_astream(model_name: str) -> None:
-    # b/371631576
-    if model_name == "meta/llama3-8b-instruct-maas":
+    # streaming currently fails with mistral-nemo@2407
+    if model_name == "mistral-nemo@2407":
         return
     llm = get_vertex_maas_model(model_name=model_name, location="us-central1")
     output = llm.astream("What is the meaning of life?")
@@ -68,6 +65,7 @@ async def test_astream(model_name: str) -> None:
 
 @pytest.mark.extended
 @pytest.mark.parametrize("model_name", model_names_with_tools_support)
+@pytest.mark.flaky(retries=3)
 async def test_tools(model_name: str) -> None:
     @tool
     def search(
diff --git a/libs/vertexai/tests/integration_tests/test_model_garden.py b/libs/vertexai/tests/integration_tests/test_model_garden.py
index 832cfb6a..f84e11b4 100644
--- a/libs/vertexai/tests/integration_tests/test_model_garden.py
+++ b/libs/vertexai/tests/integration_tests/test_model_garden.py
@@ -178,6 +178,7 @@ def _check_tool_calls(response: BaseMessage, expected_name: str) -> None:
 
 
 @pytest.mark.extended
+@pytest.mark.flaky(retries=3)
 def test_anthropic_tool_calling() -> None:
     project = os.environ["PROJECT_ID"]
     location = "us-east5"
diff --git a/libs/vertexai/tests/integration_tests/test_vision_models.py b/libs/vertexai/tests/integration_tests/test_vision_models.py
index c5670ded..ee4cfede 100644
--- a/libs/vertexai/tests/integration_tests/test_vision_models.py
+++ b/libs/vertexai/tests/integration_tests/test_vision_models.py
@@ -120,6 +120,7 @@ def test_vertex_ai_visual_qna_chat(base64_image: str):
 
 
 @pytest.mark.release
+@pytest.mark.flaky(retries=3)
 def test_vertex_ai_image_generation_and_edition():
     generator = VertexAIImageGeneratorChat()
 

From 7f704aad855091e8e3be834368a3e08571d7cce1 Mon Sep 17 00:00:00 2001
From: Leonid Kuligin <lkuligin@yandex.ru>
Date: Wed, 27 Nov 2024 18:52:23 +0100
Subject: [PATCH 49/49] release vertexai 2.0.8 (#623)

---
 libs/vertexai/pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/vertexai/pyproject.toml b/libs/vertexai/pyproject.toml
index 4213370c..7d8ce79d 100644
--- a/libs/vertexai/pyproject.toml
+++ b/libs/vertexai/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-vertexai"
-version = "2.0.7"
+version = "2.0.8"
 description = "An integration package connecting Google VertexAI and LangChain"
 authors = []
 readme = "README.md"