diff --git a/.github/scripts/prep_api_docs_build.py b/.github/scripts/prep_api_docs_build.py
index 2c2655e2155a4..0ddd7ac053de5 100644
--- a/.github/scripts/prep_api_docs_build.py
+++ b/.github/scripts/prep_api_docs_build.py
@@ -11,7 +11,9 @@
 def load_packages_yaml() -> Dict[str, Any]:
     """Load and parse the packages.yml file."""
     with open("langchain/libs/packages.yml", "r") as f:
-        return yaml.safe_load(f)
+        all_packages = yaml.safe_load(f)
+
+    return {k: v for k, v in all_packages.items() if k["repo"]}
 
 
 def get_target_dir(package_name: str) -> Path:
@@ -23,24 +25,19 @@ def get_target_dir(package_name: str) -> Path:
     return base_path / "partners" / package_name_short
 
 
-def clean_target_directories(packages: Dict[str, Any]) -> None:
+def clean_target_directories(packages: list) -> None:
     """Remove old directories that will be replaced."""
-    for package in packages["packages"]:
-        if package["repo"] != "langchain-ai/langchain":
-            target_dir = get_target_dir(package["name"])
-            if target_dir.exists():
-                print(f"Removing {target_dir}")
-                shutil.rmtree(target_dir)
+    for package in packages:
+
+        target_dir = get_target_dir(package["name"])
+        if target_dir.exists():
+            print(f"Removing {target_dir}")
+            shutil.rmtree(target_dir)
 
 
-def move_libraries(packages: Dict[str, Any]) -> None:
+def move_libraries(packages: list) -> None:
     """Move libraries from their source locations to the target directories."""
-    for package in packages["packages"]:
-        # Skip if it's the main langchain repo or disabled
-        if package["repo"] == "langchain-ai/langchain" or package.get(
-            "disabled", False
-        ):
-            continue
+    for package in packages:
 
         repo_name = package["repo"].split("/")[1]
         source_path = package["path"]
@@ -68,7 +65,14 @@ def main():
     """Main function to orchestrate the library sync process."""
     try:
         # Load packages configuration
-        packages = load_packages_yaml()
+        package_yaml = load_packages_yaml()
+        packages = [
+            p
+            for p in package_yaml["packages"]
+            if not p.get("disabled", False)
+            and p["repo"].startswith("langchain-ai/")
+            and p["repo"] != "langchain-ai/langchain"
+        ]
 
         # Clean target directories
         clean_target_directories(packages)
diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml
index 6dcbfcda11043..bf0c1e0454f20 100644
--- a/.github/workflows/_release.yml
+++ b/.github/workflows/_release.yml
@@ -219,11 +219,7 @@ jobs:
 
           # Replace all dashes in the package name with underscores,
           # since that's how Python imports packages with dashes in the name.
-          if [ "$PKG_NAME" == "langchain-tests" ]; then
-            IMPORT_NAME="langchain_standard_tests"
-          else
-            IMPORT_NAME="$(echo "$PKG_NAME" | sed s/-/_/g)"
-          fi
+          IMPORT_NAME="$(echo "$PKG_NAME" | sed s/-/_/g)"
 
           poetry run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))"
 
diff --git a/.github/workflows/api_doc_build.yml b/.github/workflows/api_doc_build.yml
index 26e2b19cb4602..959f35a94bd37 100644
--- a/.github/workflows/api_doc_build.yml
+++ b/.github/workflows/api_doc_build.yml
@@ -37,9 +37,9 @@ jobs:
           # Get unique repositories
           REPOS=$(echo "$REPOS_UNSORTED" | sort -u)
           
-          # Checkout each unique repository
+          # Checkout each unique repository that is in langchain-ai org
           for repo in $REPOS; do
-            if [ "$repo" != "langchain-ai/langchain" ]; then
+            if [[ "$repo" != "langchain-ai/langchain" && "$repo" == langchain-ai/* ]]; then
               REPO_NAME=$(echo $repo | cut -d'/' -f2)
               echo "Checking out $repo to $REPO_NAME"
               git clone --depth 1 https://github.com/$repo.git $REPO_NAME
diff --git a/docs/Makefile b/docs/Makefile
index fabed9f041ac5..a3c41260e3dd0 100644
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -38,7 +38,7 @@ install-py-deps:
 
 generate-files:
 	mkdir -p $(INTERMEDIATE_DIR)
-	cp -r $(SOURCE_DIR)/* $(INTERMEDIATE_DIR)
+	cp -rp $(SOURCE_DIR)/* $(INTERMEDIATE_DIR)
 
 	$(PYTHON) scripts/tool_feat_table.py $(INTERMEDIATE_DIR)
 
diff --git a/docs/docs/concepts/async.mdx b/docs/docs/concepts/async.mdx
index 2eab35964b3b5..d81c706db243b 100644
--- a/docs/docs/concepts/async.mdx
+++ b/docs/docs/concepts/async.mdx
@@ -46,7 +46,7 @@ Most popular LangChain integrations implement asynchronous support of their APIs
 When an asynchronous implementation is not available, LangChain tries to provide a default implementation, even if it incurs
 a **slight** overhead.
 
-By default, LangChain will delegate the execution of a unimplemented asynchronous methods to the synchronous counterparts. LangChain almost always assumes that the synchronous method should be treated as a blocking operation and should be run in a separate thread.
+By default, LangChain will delegate the execution of unimplemented asynchronous methods to the synchronous counterparts. LangChain almost always assumes that the synchronous method should be treated as a blocking operation and should be run in a separate thread.
 This is done using [asyncio.loop.run_in_executor](https://docs.python.org/3/library/asyncio-eventloop.html#asyncio.loop.run_in_executor) functionality provided by the `asyncio` library. LangChain uses the default executor provided by the `asyncio` library, which lazily initializes a thread pool executor with a default number of threads that is reused in the given event loop. While this strategy incurs a slight overhead due to context switching between threads, it guarantees that every asynchronous method has a default implementation that works out of the box.
 
 ## Performance
diff --git a/docs/docs/concepts/index.mdx b/docs/docs/concepts/index.mdx
index c53cc21ce21f1..9b7272643b49e 100644
--- a/docs/docs/concepts/index.mdx
+++ b/docs/docs/concepts/index.mdx
@@ -22,6 +22,7 @@ The conceptual guide does not cover step-by-step instructions or specific implem
 - **[Memory](https://langchain-ai.github.io/langgraph/concepts/memory/)**: Information about a conversation that is persisted so that it can be used in future conversations.
 - **[Multimodality](/docs/concepts/multimodality)**: The ability to work with data that comes in different forms, such as text, audio, images, and video.
 - **[Runnable interface](/docs/concepts/runnables)**: The base abstraction that many LangChain components and the LangChain Expression Language are built on.
+- **[Streaming](/docs/concepts/streaming)**: LangChain streaming APIs for surfacing results as they are generated.
 - **[LangChain Expression Language (LCEL)](/docs/concepts/lcel)**: A syntax for orchestrating LangChain components. Most useful for simpler applications.
 - **[Document loaders](/docs/concepts/document_loaders)**: Load a source as a list of documents.
 - **[Retrieval](/docs/concepts/retrieval)**: Information retrieval systems can retrieve structured or unstructured data from a datasource in response to a query.
diff --git a/docs/docs/contributing/how_to/index.mdx b/docs/docs/contributing/how_to/index.mdx
index e4eda7ddbc1d8..d9f903f4156d6 100644
--- a/docs/docs/contributing/how_to/index.mdx
+++ b/docs/docs/contributing/how_to/index.mdx
@@ -2,4 +2,8 @@
 
 - [**Documentation**](documentation/index.mdx): Help improve our docs, including this one!
 - [**Code**](code/index.mdx): Help us write code, fix bugs, or improve our infrastructure.
-- [**Integrations**](integrations/index.mdx): Help us integrate with your favorite vendors and tools.
\ No newline at end of file
+
+## Integrations
+
+- [**Start Here**](integrations/index.mdx): Help us integrate with your favorite vendors and tools.
+- [**Standard Tests**](integrations/standard_tests): Ensure your integration passes an expected set of tests.
diff --git a/docs/docs/contributing/how_to/integrations/community.mdx b/docs/docs/contributing/how_to/integrations/community.mdx
index 0b965b0e4c997..c7c3dadef917e 100644
--- a/docs/docs/contributing/how_to/integrations/community.mdx
+++ b/docs/docs/contributing/how_to/integrations/community.mdx
@@ -1,10 +1,11 @@
-## How to add a community integration (deprecated)
+## How to add a community integration (not recommended)
 
 :::danger
 
-We are no longer accepting new community integrations. Please see the
-[main integration guide](./index.mdx) for more information on contributing new
-integrations.
+We recommend following the [main integration guide](./index.mdx) to add new integrations instead.
+
+If you follow this guide, there is a high likelihood we will close your PR with the above
+guide linked without much discussion.
 
 :::
 
diff --git a/docs/docs/contributing/how_to/integrations/index.mdx b/docs/docs/contributing/how_to/integrations/index.mdx
index 5f08dce43606e..159f4ac4e999b 100644
--- a/docs/docs/contributing/how_to/integrations/index.mdx
+++ b/docs/docs/contributing/how_to/integrations/index.mdx
@@ -65,10 +65,10 @@ that will render on this site (https://python.langchain.com/).
 
 As a prerequisite to adding your integration to our documentation, you must:
 
-1. Confirm that your integration is in the list of components we are currently accepting.
+1. Confirm that your integration is in the [list of components](#components-to-integrate) we are currently accepting.
 2. Ensure that your integration is in a separate package that can be installed with `pip install <your-package>`.
-3. Implement the standard tests for your integration and successfully run them.
-3. Write documentation for your integration in the `docs/docs/integrations` directory of the LangChain monorepo.
+3. [Implement the standard tests](/docs/contributing/how_to/integrations/standard_tests) for your integration and successfully run them.
+3. Write documentation for your integration in the `docs/docs/integrations/<component_type>` directory of the LangChain monorepo.
 4. Add a provider page for your integration in the `docs/docs/integrations/providers` directory of the LangChain monorepo.
 
 Once you have completed these steps, you can submit a PR to the LangChain monorepo to add your integration to the documentation.
diff --git a/docs/docs/contributing/how_to/integrations/standard_tests.ipynb b/docs/docs/contributing/how_to/integrations/standard_tests.ipynb
index 393bf6961c578..4607fc83c2147 100644
--- a/docs/docs/contributing/how_to/integrations/standard_tests.ipynb
+++ b/docs/docs/contributing/how_to/integrations/standard_tests.ipynb
@@ -6,27 +6,19 @@
    "source": [
     "# How to add standard tests to an integration\n",
     "\n",
-    "Implementing standard tests \n",
-    "\n",
-    "When creating either a custom class for yourself or a new tool to publish in a LangChain integration, it is important to add standard tests to ensure it works as expected. This guide will show you how to add standard tests to a tool, and the templates for implementing each different kind of integration are linked [at the bottom](#standard-test-templates-per-component).\n",
+    "When creating either a custom class for yourself or a new tool to publish in a LangChain integration, it is important to add standard tests to ensure it works as expected. This guide will show you how to add standard tests to a tool, and you can **[Skip to the test templates](#standard-test-templates-per-component)** for implementing tests for each integration.\n",
     "\n",
     "## Setup\n",
     "\n",
     "First, let's install 2 dependencies:\n",
     "\n",
     "- `langchain-core` will define the interfaces we want to import to define our custom tool.\n",
-    "- `langchain-tests==0.3.0` will provide the standard tests we want to use.\n",
+    "- `langchain-tests==0.3.2` will provide the standard tests we want to use.\n",
     "\n",
     ":::note\n",
     "\n",
-    "The `langchain-tests` package contains the module `langchain_standard_tests`. This name\n",
-    "mistmatch is due to this package historically being called `langchain_standard_tests` and\n",
-    "the name not being available on PyPi. This will either be reconciled by our \n",
-    "[PEP 541 request](https://github.com/pypi/support/issues/5062) (we welcome upvotes!), \n",
-    "or in a new release of `langchain-tests`.\n",
-    "\n",
     "Because added tests in new versions of `langchain-tests` will always break your CI/CD pipelines, we recommend pinning the \n",
-    "version of `langchain-tests==0.3.0` to avoid unexpected changes.\n",
+    "version of `langchain-tests==0.3.2` to avoid unexpected changes.\n",
     "\n",
     ":::"
    ]
@@ -37,7 +29,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -U langchain-core langchain-tests==0.3.0 pytest pytest-socket"
+    "%pip install -U langchain-core langchain-tests==0.3.2 pytest pytest-socket"
    ]
   },
   {
@@ -91,8 +83,8 @@
     "\n",
     "There are 2 namespaces in the `langchain-tests` package: \n",
     "\n",
-    "- unit tests (`langchain_standard_tests.unit_tests`): designed to be used to test the tool in isolation and without access to external services\n",
-    "- integration tests (`langchain_standard_tests.integration_tests`): designed to be used to test the tool with access to external services (in particular, the external service that the tool is designed to interact with).\n",
+    "- unit tests (`langchain_tests.unit_tests`): designed to be used to test the tool in isolation and without access to external services\n",
+    "- integration tests (`langchain_tests.integration_tests`): designed to be used to test the tool with access to external services (in particular, the external service that the tool is designed to interact with).\n",
     "\n",
     ":::note\n",
     "\n",
@@ -122,10 +114,10 @@
     "from typing import Type\n",
     "\n",
     "from langchain_parrot_link.tools import ParrotMultiplyTool\n",
-    "from langchain_standard_tests.unit_tests import ToolsUnitTests\n",
+    "from langchain_tests.unit_tests import ToolsUnitTests\n",
     "\n",
     "\n",
-    "class ParrotMultiplyToolUnitTests(ToolsUnitTests):\n",
+    "class TestParrotMultiplyToolUnit(ToolsUnitTests):\n",
     "    @property\n",
     "    def tool_constructor(self) -> Type[ParrotMultiplyTool]:\n",
     "        return ParrotMultiplyTool\n",
@@ -156,10 +148,10 @@
     "from typing import Type\n",
     "\n",
     "from langchain_parrot_link.tools import ParrotMultiplyTool\n",
-    "from langchain_standard_tests.integration_tests import ToolsIntegrationTests\n",
+    "from langchain_tests.integration_tests import ToolsIntegrationTests\n",
     "\n",
     "\n",
-    "class ParrotMultiplyToolIntegrationTests(ToolsIntegrationTests):\n",
+    "class TestParrotMultiplyToolIntegration(ToolsIntegrationTests):\n",
     "    @property\n",
     "    def tool_constructor(self) -> Type[ParrotMultiplyTool]:\n",
     "        return ParrotMultiplyTool\n",
@@ -217,13 +209,17 @@
     "from typing import Tuple, Type\n",
     "\n",
     "from langchain_parrot_link.chat_models import ChatParrotLink\n",
-    "from langchain_standard_tests.unit_tests import ChatModelUnitTests\n",
+    "from langchain_tests.unit_tests import ChatModelUnitTests\n",
     "\n",
     "\n",
-    "class ChatParrotLinkUnitTests(ChatModelUnitTests):\n",
+    "class TestChatParrotLinkUnit(ChatModelUnitTests):\n",
     "    @property\n",
     "    def chat_model_class(self) -> Type[ChatParrotLink]:\n",
-    "        return ChatParrotLink"
+    "        return ChatParrotLink\n",
+    "\n",
+    "    @property\n",
+    "    def chat_model_params(self) -> dict:\n",
+    "        return {\"model\": \"bird-brain-001\", \"temperature\": 0}"
    ]
   },
   {
@@ -236,10 +232,10 @@
     "from typing import Type\n",
     "\n",
     "from langchain_parrot_link.chat_models import ChatParrotLink\n",
-    "from langchain_standard_tests.integration_tests import ChatModelIntegrationTests\n",
+    "from langchain_tests.integration_tests import ChatModelIntegrationTests\n",
     "\n",
     "\n",
-    "class TestMistralStandard(ChatModelIntegrationTests):\n",
+    "class TestChatParrotLinkIntegration(ChatModelIntegrationTests):\n",
     "    @property\n",
     "    def chat_model_class(self) -> Type[ChatParrotLink]:\n",
     "        return ChatParrotLink\n",
@@ -254,32 +250,54 @@
    "metadata": {},
    "source": [
     "</details>\n",
-    "\n",
-    "<div style={{display:\"none\"}}>\n",
-    "Work in progress:\n",
     "<details>\n",
-    "    <summary>Tools/Toolkits</summary>\n",
-    "    TODO"
+    "    <summary>Embedding Models</summary>"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "</details>\n",
-    "<details>\n",
-    "    <summary>Retrievers</summary>\n",
-    "    TODO"
+    "# title=\"tests/unit_tests/test_embeddings.py\"\n",
+    "from typing import Tuple, Type\n",
+    "\n",
+    "from langchain_parrot_link.embeddings import ParrotLinkEmbeddings\n",
+    "from langchain_standard_tests.unit_tests import EmbeddingsUnitTests\n",
+    "\n",
+    "\n",
+    "class TestParrotLinkEmbeddingsUnit(EmbeddingsUnitTests):\n",
+    "    @property\n",
+    "    def embeddings_class(self) -> Type[ParrotLinkEmbeddings]:\n",
+    "        return ParrotLinkEmbeddings\n",
+    "\n",
+    "    @property\n",
+    "    def embedding_model_params(self) -> dict:\n",
+    "        return {\"model\": \"nest-embed-001\", \"temperature\": 0}"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "</details>\n",
-    "<details>\n",
-    "    <summary>Vector Stores</summary>\n",
-    "    TODO"
+    "# title=\"tests/integration_tests/test_embeddings.py\"\n",
+    "from typing import Type\n",
+    "\n",
+    "from langchain_parrot_link.embeddings import ParrotLinkEmbeddings\n",
+    "from langchain_standard_tests.integration_tests import EmbeddingsIntegrationTests\n",
+    "\n",
+    "\n",
+    "class TestParrotLinkEmbeddingsIntegration(EmbeddingsIntegrationTests):\n",
+    "    @property\n",
+    "    def embeddings_class(self) -> Type[ParrotLinkEmbeddings]:\n",
+    "        return ParrotLinkEmbeddings\n",
+    "\n",
+    "    @property\n",
+    "    def embedding_model_params(self) -> dict:\n",
+    "        return {\"model\": \"nest-embed-001\", \"temperature\": 0}"
    ]
   },
   {
@@ -288,16 +306,83 @@
    "source": [
     "</details>\n",
     "<details>\n",
-    "    <summary>Embedding Models</summary>\n",
-    "    TODO"
+    "    <summary>Tools/Toolkits</summary>\n",
+    "    Note: The standard tests for tools/toolkits are implemented in the example in the main body of this guide too."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# title=\"tests/unit_tests/test_tools.py\"\n",
+    "from typing import Type\n",
+    "\n",
+    "from langchain_parrot_link.tools import ParrotMultiplyTool\n",
+    "from langchain_standard_tests.unit_tests import ToolsUnitTests\n",
+    "\n",
+    "\n",
+    "class TestParrotMultiplyToolUnit(ToolsUnitTests):\n",
+    "    @property\n",
+    "    def tool_constructor(self) -> Type[ParrotMultiplyTool]:\n",
+    "        return ParrotMultiplyTool\n",
+    "\n",
+    "    def tool_constructor_params(self) -> dict:\n",
+    "        # if your tool constructor instead required initialization arguments like\n",
+    "        # `def __init__(self, some_arg: int):`, you would return those here\n",
+    "        # as a dictionary, e.g.: `return {'some_arg': 42}`\n",
+    "        return {}\n",
+    "\n",
+    "    def tool_invoke_params_example(self) -> dict:\n",
+    "        \"\"\"\n",
+    "        Returns a dictionary representing the \"args\" of an example tool call.\n",
+    "\n",
+    "        This should NOT be a ToolCall dict - i.e. it should not\n",
+    "        have {\"name\", \"id\", \"args\"} keys.\n",
+    "        \"\"\"\n",
+    "        return {\"a\": 2, \"b\": 3}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# title=\"tests/integration_tests/test_tools.py\"\n",
+    "from typing import Type\n",
+    "\n",
+    "from langchain_parrot_link.tools import ParrotMultiplyTool\n",
+    "from langchain_standard_tests.integration_tests import ToolsIntegrationTests\n",
+    "\n",
+    "\n",
+    "class TestParrotMultiplyToolIntegration(ToolsIntegrationTests):\n",
+    "    @property\n",
+    "    def tool_constructor(self) -> Type[ParrotMultiplyTool]:\n",
+    "        return ParrotMultiplyTool\n",
+    "\n",
+    "    def tool_constructor_params(self) -> dict:\n",
+    "        # if your tool constructor instead required initialization arguments like\n",
+    "        # `def __init__(self, some_arg: int):`, you would return those here\n",
+    "        # as a dictionary, e.g.: `return {'some_arg': 42}`\n",
+    "        return {}\n",
+    "\n",
+    "    def tool_invoke_params_example(self) -> dict:\n",
+    "        \"\"\"\n",
+    "        Returns a dictionary representing the \"args\" of an example tool call.\n",
+    "\n",
+    "        This should NOT be a ToolCall dict - i.e. it should not\n",
+    "        have {\"name\", \"id\", \"args\"} keys.\n",
+    "        \"\"\"\n",
+    "        return {\"a\": 2, \"b\": 3}"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "</details>\n",
-    "</div>"
+    "</details>"
    ]
   }
  ],
diff --git a/docs/docs/contributing/index.mdx b/docs/docs/contributing/index.mdx
index 67930710585dc..d2c1231789d8d 100644
--- a/docs/docs/contributing/index.mdx
+++ b/docs/docs/contributing/index.mdx
@@ -17,6 +17,7 @@ More coming soon! We are working on tutorials to help you make your first contri
 - [**Documentation**](how_to/documentation/index.mdx): Help improve our docs, including this one!
 - [**Code**](how_to/code/index.mdx): Help us write code, fix bugs, or improve our infrastructure.
 - [**Integrations**](how_to/integrations/index.mdx): Help us integrate with your favorite vendors and tools.
+- [**Standard Tests**](how_to/integrations/standard_tests): Ensure your integration passes an expected set of tests.
 
 ## Reference
 
diff --git a/docs/docs/how_to/embed_text.mdx b/docs/docs/how_to/embed_text.mdx
index 2450e99440c27..0c636fec3e7a0 100644
--- a/docs/docs/how_to/embed_text.mdx
+++ b/docs/docs/how_to/embed_text.mdx
@@ -15,87 +15,9 @@ The base Embeddings class in LangChain provides two methods: one for embedding d
 
 ### Setup
 
-import Tabs from '@theme/Tabs';
-import TabItem from '@theme/TabItem';
+import EmbeddingTabs from "@theme/EmbeddingTabs";
 
-<Tabs>
-  <TabItem value="openai" label="OpenAI" default>
-To start we'll need to install the OpenAI partner package:
-
-```bash
-pip install langchain-openai
-```
-
-Accessing the API requires an API key, which you can get by creating an account and heading [here](https://platform.openai.com/account/api-keys). Once we have a key we'll want to set it as an environment variable by running:
-
-```bash
-export OPENAI_API_KEY="..."
-```
-
-If you'd prefer not to set an environment variable you can pass the key in directly via the `api_key` named parameter when initiating the OpenAI LLM class:
-
-```python
-from langchain_openai import OpenAIEmbeddings
-
-embeddings_model = OpenAIEmbeddings(api_key="...")
-```
-
-Otherwise you can initialize without any params:
-```python
-from langchain_openai import OpenAIEmbeddings
-
-embeddings_model = OpenAIEmbeddings()
-```
-
-  </TabItem>
-  <TabItem value="cohere" label="Cohere">
-
-To start we'll need to install the Cohere SDK package:
-
-```bash
-pip install langchain-cohere
-```
-
-Accessing the API requires an API key, which you can get by creating an account and heading [here](https://dashboard.cohere.com/api-keys). Once we have a key we'll want to set it as an environment variable by running:
-
-```shell
-export COHERE_API_KEY="..."
-```
-
-If you'd prefer not to set an environment variable you can pass the key in directly via the `cohere_api_key` named parameter when initiating the Cohere LLM class:
-
-```python
-from langchain_cohere import CohereEmbeddings
-
-embeddings_model = CohereEmbeddings(cohere_api_key="...", model='embed-english-v3.0')
-```
-
-Otherwise you can initialize simply as shown below:
-```python
-from langchain_cohere import CohereEmbeddings
-
-embeddings_model = CohereEmbeddings(model='embed-english-v3.0')
-```
-Do note that it is mandatory to pass the model parameter while initializing the CohereEmbeddings class.
-
-  </TabItem>
-  <TabItem value="huggingface" label="Hugging Face">
-
-To start we'll need to install the Hugging Face partner package:
-
-```bash
-pip install langchain-huggingface
-```
-
-You can then load any [Sentence Transformers model](https://huggingface.co/models?library=sentence-transformers) from the Hugging Face Hub.
-
-```python
-from langchain_huggingface import HuggingFaceEmbeddings
-
-embeddings_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2")
-```
-  </TabItem>
-</Tabs>
+<EmbeddingTabs customVarName="embeddings_model" />
 
 ### `embed_documents`
 #### Embed list of texts
diff --git a/docs/docs/integrations/chat/index.mdx b/docs/docs/integrations/chat/index.mdx
index e2b0be6da4dda..537cdc2c11a37 100644
--- a/docs/docs/integrations/chat/index.mdx
+++ b/docs/docs/integrations/chat/index.mdx
@@ -15,6 +15,14 @@ If you'd like to contribute an integration, see [Contributing integrations](/doc
 
 :::
 
+import ChatModelTabs from "@theme/ChatModelTabs";
+
+<ChatModelTabs openaiParams={`model="gpt-4o-mini"`} />
+
+```python
+model.invoke("Hello, world!")
+```
+
 ## Featured Providers
 
 :::info
diff --git a/docs/docs/integrations/text_embedding/azureopenai.ipynb b/docs/docs/integrations/text_embedding/azureopenai.ipynb
index 7f5281e21e9e5..916132c6f3e43 100644
--- a/docs/docs/integrations/text_embedding/azureopenai.ipynb
+++ b/docs/docs/integrations/text_embedding/azureopenai.ipynb
@@ -45,7 +45,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "36521c2a",
    "metadata": {},
    "outputs": [],
@@ -53,8 +53,10 @@
     "import getpass\n",
     "import os\n",
     "\n",
-    "if not os.getenv(\"OPENAI_API_KEY\"):\n",
-    "    os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"Enter your AzureOpenAI API key: \")"
+    "if not os.getenv(\"AZURE_OPENAI_API_KEY\"):\n",
+    "    os.environ[\"AZURE_OPENAI_API_KEY\"] = getpass.getpass(\n",
+    "        \"Enter your AzureOpenAI API key: \"\n",
+    "    )"
    ]
   },
   {
diff --git a/docs/docs/integrations/text_embedding/bedrock.ipynb b/docs/docs/integrations/text_embedding/bedrock.ipynb
index 3c4768507827c..b559621f29104 100644
--- a/docs/docs/integrations/text_embedding/bedrock.ipynb
+++ b/docs/docs/integrations/text_embedding/bedrock.ipynb
@@ -31,12 +31,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "282239c8-e03a-4abc-86c1-ca6120231a20",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.embeddings import BedrockEmbeddings\n",
+    "from langchain_aws import BedrockEmbeddings\n",
     "\n",
     "embeddings = BedrockEmbeddings(\n",
     "    credentials_profile_name=\"bedrock-admin\", region_name=\"us-east-1\"\n",
diff --git a/docs/docs/integrations/text_embedding/index.mdx b/docs/docs/integrations/text_embedding/index.mdx
index fe2a627192139..169480565122b 100644
--- a/docs/docs/integrations/text_embedding/index.mdx
+++ b/docs/docs/integrations/text_embedding/index.mdx
@@ -11,6 +11,14 @@ import { CategoryTable, IndexTable } from "@theme/FeatureTables";
 
 This page documents integrations with various model providers that allow you to use embeddings in LangChain.
 
+import EmbeddingTabs from "@theme/EmbeddingTabs";
+
+<EmbeddingTabs/>
+
+```python
+embeddings.embed_query("Hello, world!")
+```
+
 <CategoryTable category="text_embedding" />
 
 ## All embedding models
diff --git a/docs/docs/integrations/vectorstores/index.mdx b/docs/docs/integrations/vectorstores/index.mdx
index 8b276057dad21..c213d968ee3e2 100644
--- a/docs/docs/integrations/vectorstores/index.mdx
+++ b/docs/docs/integrations/vectorstores/index.mdx
@@ -3,12 +3,24 @@ sidebar_position: 0
 sidebar_class_name: hidden
 ---
 
-# Vectorstores
+# Vector stores
 
 import { CategoryTable, IndexTable } from "@theme/FeatureTables";
 
 A [vector store](/docs/concepts/vectorstores) stores [embedded](/docs/concepts/embedding_models) data and performs similarity search.
 
+**Select embedding model:**
+
+import EmbeddingTabs from "@theme/EmbeddingTabs";
+
+<EmbeddingTabs/>
+
+**Select vector store:**
+
+import VectorStoreTabs from "@theme/VectorStoreTabs";
+
+<VectorStoreTabs/>
+
 <CategoryTable category="vectorstores" />
 
 ## All Vectorstores
diff --git a/docs/docs/tutorials/llm_chain.ipynb b/docs/docs/tutorials/llm_chain.ipynb
index fccc2c6cd9fc1..ea1a8ae0288f2 100644
--- a/docs/docs/tutorials/llm_chain.ipynb
+++ b/docs/docs/tutorials/llm_chain.ipynb
@@ -318,7 +318,7 @@
    "source": [
     "## Conclusion\n",
     "\n",
-    "That's it! In this tutorial you've learned how to create your first simple LLM application. You've learned how to work with language models, how to how to create a prompt template, and how to get great observability into chains you create with LangSmith.\n",
+    "That's it! In this tutorial you've learned how to create your first simple LLM application. You've learned how to work with language models, how to create a prompt template, and how to get great observability into chains you create with LangSmith.\n",
     "\n",
     "This just scratches the surface of what you will want to learn to become a proficient AI Engineer. Luckily - we've got a lot of other resources!\n",
     "\n",
diff --git a/docs/scripts/notebook_convert.py b/docs/scripts/notebook_convert.py
index 02b83f8032839..429734f115817 100644
--- a/docs/scripts/notebook_convert.py
+++ b/docs/scripts/notebook_convert.py
@@ -184,7 +184,18 @@ def _convert_notebook(
         source_paths_stripped = [p.strip() for p in source_path_strs]
         source_paths = [intermediate_docs_dir / p for p in source_paths_stripped if p]
     else:
-        source_paths = intermediate_docs_dir.glob("**/*.ipynb")
+        original_paths = list(intermediate_docs_dir.glob("**/*.ipynb"))
+        # exclude files that exist in output directory and are newer
+        relative_paths = [p.relative_to(intermediate_docs_dir) for p in original_paths]
+        out_paths = [
+            output_docs_dir / p.parent / (p.stem + ".md") for p in relative_paths
+        ]
+        source_paths = [
+            p
+            for p, o in zip(original_paths, out_paths)
+            if not o.exists() or o.stat().st_mtime < p.stat().st_mtime
+        ]
+        print(f"rebuilding {len(source_paths)}/{len(relative_paths)} notebooks")
 
     with multiprocessing.Pool() as pool:
         pool.map(
diff --git a/docs/src/theme/ChatModelTabs.js b/docs/src/theme/ChatModelTabs.js
index 9d27a9a44a135..162723942aab4 100644
--- a/docs/src/theme/ChatModelTabs.js
+++ b/docs/src/theme/ChatModelTabs.js
@@ -114,7 +114,7 @@ export default function ChatModelTabs(props) {
       value: "Google",
       label: "Google",
       text: `from langchain_google_vertexai import ChatVertexAI\n\n${llmVarName} = ChatVertexAI(${googleParamsOrDefault})`,
-      apiKeyName: "GOOGLE_API_KEY",
+      apiKeyText: "# Ensure your VertexAI credentials are configured",
       packageName: "langchain-google-vertexai",
       default: false,
       shouldHide: hideGoogle,
diff --git a/docs/src/theme/EmbeddingTabs.js b/docs/src/theme/EmbeddingTabs.js
index 7ad62a515ad89..7e1012baec109 100644
--- a/docs/src/theme/EmbeddingTabs.js
+++ b/docs/src/theme/EmbeddingTabs.js
@@ -7,15 +7,41 @@ export default function EmbeddingTabs(props) {
     const {
       openaiParams,
       hideOpenai,
+      azureOpenaiParams,
+      hideAzureOpenai,
+      googleParams,
+      hideGoogle,
+      awsParams,
+      hideAws,
       huggingFaceParams,
       hideHuggingFace,
+      ollamaParams,
+      hideOllama,
+      cohereParams,
+      hideCohere,
+      mistralParams,
+      hideMistral,
+      nomicParams,
+      hideNomic,
+      nvidiaParams,
+      hideNvidia,
       fakeEmbeddingParams,
       hideFakeEmbedding,
       customVarName,
     } = props;
   
     const openAIParamsOrDefault = openaiParams ?? `model="text-embedding-3-large"`;
+    const azureParamsOrDefault =
+      azureOpenaiParams ??
+      `\n    azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],\n    azure_deployment=os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"],\n    openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"],\n`;
+    const googleParamsOrDefault = googleParams ?? `model="text-embedding-004"`;
+    const awsParamsOrDefault = awsParams ?? `model_id="amazon.titan-embed-text-v2:0"`;
     const huggingFaceParamsOrDefault = huggingFaceParams ?? `model="sentence-transformers/all-mpnet-base-v2"`;
+    const ollamaParamsOrDefault = ollamaParams ?? `model="llama3"`;
+    const cohereParamsOrDefault = cohereParams ?? `model="embed-english-v3.0"`;
+    const mistralParamsOrDefault = mistralParams ?? `model="mistral-embed"`;
+    const nomicsParamsOrDefault = nomicParams ?? `model="nomic-embed-text-v1.5"`;
+    const nvidiaParamsOrDefault = nvidiaParams ?? `model="NV-Embed-QA"`;
     const fakeEmbeddingParamsOrDefault = fakeEmbeddingParams ?? `size=4096`;
   
     const embeddingVarName = customVarName ?? "embeddings";
@@ -30,6 +56,33 @@ export default function EmbeddingTabs(props) {
         default: true,
         shouldHide: hideOpenai,
       },
+      {
+        value: "Azure",
+        label: "Azure",
+        text: `from langchain_openai import AzureOpenAIEmbeddings\n\n${embeddingVarName} = AzureOpenAIEmbeddings(${azureParamsOrDefault})`,
+        apiKeyName: "AZURE_OPENAI_API_KEY",
+        packageName: "langchain-openai",
+        default: false,
+        shouldHide: hideAzureOpenai,
+      },
+      {
+        value: "Google",
+        label: "Google",
+        text: `from langchain_google_vertexai import VertexAIEmbeddings\n\n${embeddingVarName} = VertexAIEmbeddings(${googleParamsOrDefault})`,
+        apiKeyName: undefined,
+        packageName: "langchain-google-vertexai",
+        default: false,
+        shouldHide: hideGoogle,
+      },
+      {
+        value: "AWS",
+        label: "AWS",
+        text: `from langchain_aws import BedrockEmbeddings\n\n${embeddingVarName} = BedrockEmbeddings(${awsParamsOrDefault})`,
+        apiKeyName: undefined,
+        packageName: "langchain-aws",
+        default: false,
+        shouldHide: hideAws,
+      },
       {
         value: "HuggingFace",
         label: "HuggingFace",
@@ -40,9 +93,54 @@ export default function EmbeddingTabs(props) {
         shouldHide: hideHuggingFace,
       },
       {
-        value: "Fake Embedding",
-        label: "Fake Embedding",
-        text: `from langchain_core.embeddings import FakeEmbeddings\n\n${embeddingVarName} = FakeEmbeddings(${fakeEmbeddingParamsOrDefault})`,
+        value: "Ollama",
+        label: "Ollama",
+        text: `from langchain_ollama import OllamaEmbeddings\n\n${embeddingVarName} = OllamaEmbeddings(${ollamaParamsOrDefault})`,
+        apiKeyName: undefined,
+        packageName: "langchain-ollama",
+        default: false,
+        shouldHide: hideOllama,
+      },
+      {
+        value: "Cohere",
+        label: "Cohere",
+        text: `from langchain_cohere import CohereEmbeddings\n\n${embeddingVarName} = CohereEmbeddings(${cohereParamsOrDefault})`,
+        apiKeyName: "COHERE_API_KEY",
+        packageName: "langchain-cohere",
+        default: false,
+        shouldHide: hideCohere,
+      },
+      {
+        value: "MistralAI",
+        label: "MistralAI",
+        text: `from langchain_mistralai import MistralAIEmbeddings\n\n${embeddingVarName} = MistralAIEmbeddings(${mistralParamsOrDefault})`,
+        apiKeyName: "MISTRALAI_API_KEY",
+        packageName: "langchain-mistralai",
+        default: false,
+        shouldHide: hideMistral,
+      },
+      {
+        value: "Nomic",
+        label: "Nomic",
+        text: `from langchain_nomic import NomicEmbeddings\n\n${embeddingVarName} = NomicEmbeddings(${nomicsParamsOrDefault})`,
+        apiKeyName: "NOMIC_API_KEY",
+        packageName: "langchain-nomic",
+        default: false,
+        shouldHide: hideNomic,
+      },
+      {
+        value: "NVIDIA",
+        label: "NVIDIA",
+        text: `from langchain_nvidia_ai_endpoints import NVIDIAEmbeddings\n\n${embeddingVarName} = NVIDIAEmbeddings(${nvidiaParamsOrDefault})`,
+        apiKeyName: "NVIDIA_API_KEY",
+        packageName: "langchain-nvidia-ai-endpoints",
+        default: false,
+        shouldHide: hideNvidia,
+      },
+      {
+        value: "Fake",
+        label: "Fake",
+        text: `from langchain_core.embeddings import DeterministicFakeEmbedding\n\n${embeddingVarName} = DeterministicFakeEmbedding(${fakeEmbeddingParamsOrDefault})`,
         apiKeyName: undefined,
         packageName: "langchain-core",
         default: false,
@@ -55,9 +153,7 @@ export default function EmbeddingTabs(props) {
             {tabItems
                 .filter((tabItem) => !tabItem.shouldHide)
                 .map((tabItem) => {
-                    const apiKeyText = tabItem.apiKeyName ? `import getpass
-
-    os.environ["${tabItem.apiKeyName}"] = getpass.getpass()` : '';
+                    const apiKeyText = tabItem.apiKeyName ? `import getpass\n\nos.environ["${tabItem.apiKeyName}"] = getpass.getpass()` : '';
                     return (
                         <TabItem
                             value={tabItem.value}
diff --git a/docs/src/theme/FeatureTables.js b/docs/src/theme/FeatureTables.js
index a7b31cdc2910e..afa27742aaee9 100644
--- a/docs/src/theme/FeatureTables.js
+++ b/docs/src/theme/FeatureTables.js
@@ -406,7 +406,7 @@ const FEATURE_TABLES = {
             },
             {
                 name: "NVIDIA",
-                link: "NVIDIAEmbeddings",
+                link: "nvidia_ai_endpoints",
                 package: "langchain-nvidia",
                 apiLink: "https://python.langchain.com/api_reference/nvidia_ai_endpoints/embeddings/langchain_nvidia_ai_endpoints.embeddings.NVIDIAEmbeddings.html"
             },
diff --git a/docs/src/theme/VectorStoreTabs.js b/docs/src/theme/VectorStoreTabs.js
new file mode 100644
index 0000000000000..52c20fba5158d
--- /dev/null
+++ b/docs/src/theme/VectorStoreTabs.js
@@ -0,0 +1,92 @@
+import React from "react";
+import Tabs from "@theme/Tabs";
+import TabItem from "@theme/TabItem";
+import CodeBlock from "@theme-original/CodeBlock";
+
+export default function VectorStoreTabs(props) {
+    const { customVarName } = props;
+
+    const vectorStoreVarName = customVarName ?? "vector_store";
+
+    const tabItems = [
+        {
+            value: "In-memory",
+            label: "In-memory",
+            text: `from langchain_core.vector_stores import InMemoryVectorStore\n\n${vectorStoreVarName} = InMemoryVectorStore(embeddings)`,
+            packageName: "langchain-core",
+            default: true,
+        },
+        {
+            value: "AstraDB",
+            label: "AstraDB",
+            text: `from langchain_astradb import AstraDBVectorStore\n\n${vectorStoreVarName} = AstraDBVectorStore(\n    embedding=embeddings,\n    api_endpoint=ASTRA_DB_API_ENDPOINT,\n    collection_name="astra_vector_langchain",\n    token=ASTRA_DB_APPLICATION_TOKEN,\n    namespace=ASTRA_DB_NAMESPACE,\n)`,
+            packageName: "langchain-astradb",
+            default: false,
+        },
+        {
+            value: "Chroma",
+            label: "Chroma",
+            text: `from langchain_chroma import Chroma\n\n${vectorStoreVarName} = Chroma(embedding_function=embeddings)`,
+            packageName: "langchain-chroma",
+            default: false,
+        },
+        {
+            value: "FAISS",
+            label: "FAISS",
+            text: `from langchain_community.vectorstores import FAISS\n\n${vectorStoreVarName} = FAISS(embedding_function=embeddings)`,
+            packageName: "langchain-community",
+            default: false,
+        },
+        {
+            value: "Milvus",
+            label: "Milvus",
+            text: `from langchain_milvus import Milvus\n\n${vectorStoreVarName} = Milvus(embedding_function=embeddings)`,
+            packageName: "langchain-milvus",
+            default: false,
+        },
+        {
+            value: "MongoDB",
+            label: "MongoDB",
+            text: `from langchain_mongodb import MongoDBAtlasVectorSearch\n\n${vectorStoreVarName} = MongoDBAtlasVectorSearch(\n    embedding=embeddings,\n    collection=MONGODB_COLLECTION,\n    index_name=ATLAS_VECTOR_SEARCH_INDEX_NAME,\n    relevance_score_fn="cosine",\n)`,
+            packageName: "langchain-mongodb",
+            default: false,
+        },
+        {
+            value: "PGVector",
+            label: "PGVector",
+            text: `from langchain_postgres import PGVector\n\n${vectorStoreVarName} = PGVector(\n    embedding=embeddings,\n    collection_name="my_docs",\n    connection="postgresql+psycopg://...",\n)`,
+            packageName: "langchain-postgres",
+            default: false,
+        },
+        {
+            value: "Pinecone",
+            label: "Pinecone",
+            text: `from langchain_pinecone import PineconeVectorStore\nfrom pinecone import Pinecone\n\npc = Pinecone(api_key=...)\nindex = pc.Index(index_name)\n\n${vectorStoreVarName} = PineconeVectorStore(embedding=embeddings, index=index)`,
+            packageName: "langchain-pinecone",
+            default: false,
+        },
+        {
+            value: "Qdrant",
+            label: "Qdrant",
+            text: `from langchain_qdrant import QdrantVectorStore\nfrom qdrant_client import QdrantClient\n\nclient = QdrantClient(":memory:")\n${vectorStoreVarName} = QdrantVectorStore(\n    client=client,\n    collection_name="test",\n    embedding=embeddings,\n)`,
+            packageName: "langchain-qdrant",
+            default: false,
+        },
+    ];
+
+    return (
+        <Tabs groupId="vectorStoreTabs">
+            {tabItems.map((tabItem) => (
+                <TabItem
+                    key={tabItem.value}
+                    value={tabItem.value}
+                    label={tabItem.label}
+                    default={tabItem.default}
+                >
+                    <CodeBlock language="bash">{`pip install -qU ${tabItem.packageName}`}</CodeBlock>
+                    <CodeBlock language="python">{tabItem.text}</CodeBlock>
+                </TabItem>
+            ))}
+        </Tabs>
+    );
+}
diff --git a/libs/community/langchain_community/chat_models/lindormai.py b/libs/community/langchain_community/chat_models/lindormai.py
deleted file mode 100644
index 12207f3987dca..0000000000000
--- a/libs/community/langchain_community/chat_models/lindormai.py
+++ /dev/null
@@ -1,366 +0,0 @@
-"""Lindorm AI chat model."""
-from __future__ import annotations
-
-import logging
-from typing import (
-    Any,
-    AsyncIterator,
-    Callable,
-    Dict,
-    Iterator,
-    List,
-    Optional,
-    Sequence,
-    Type,
-    Union,
-)
-
-from langchain_core.callbacks import (
-    AsyncCallbackManagerForLLMRun,
-    CallbackManagerForLLMRun,
-)
-from langchain_core.language_models import LanguageModelInput
-from langchain_core.language_models.chat_models import BaseChatModel
-from langchain_core.messages import (
-    AIMessage,
-    AIMessageChunk,
-    BaseMessage,
-    BaseMessageChunk,
-    ChatMessage,
-    ChatMessageChunk,
-    HumanMessage,
-    HumanMessageChunk,
-    SystemMessage,
-    SystemMessageChunk,
-)
-from langchain_core.outputs import (
-    ChatGeneration,
-    ChatGenerationChunk,
-    ChatResult,
-)
-from langchain_core.pydantic_v1 import Field, root_validator, BaseModel
-from langchain_core.runnables import Runnable
-from requests.exceptions import HTTPError
-from tenacity import (
-    before_sleep_log,
-    retry,
-    retry_if_exception_type,
-    stop_after_attempt,
-    wait_exponential,
-)
-
-logger = logging.getLogger(__name__)
-
-DEFAULT_TEMPERATURE = 0.1
-DEFAULT_NUM_OUTPUTS = 256  # tokens
-
-
-def convert_message_chunk_to_message(message_chunk: BaseMessageChunk) -> BaseMessage:
-    if isinstance(message_chunk, HumanMessageChunk):
-        return HumanMessage(content=message_chunk.content)
-    elif isinstance(message_chunk, AIMessageChunk):
-        return AIMessage(content=message_chunk.content)
-    elif isinstance(message_chunk, SystemMessageChunk):
-        return SystemMessage(content=message_chunk.content)
-    elif isinstance(message_chunk, ChatMessageChunk):
-        return ChatMessage(role=message_chunk.role, content=message_chunk.content)
-    else:
-        raise TypeError(f"Got unknown type {message_chunk}")
-
-
-def convert_message_to_dict(message: BaseMessage) -> dict:
-    """Convert a message to a dict."""
-    message_dict: Dict[str, Any]
-    if isinstance(message, ChatMessage):
-        message_dict = {"role": message.role, "content": message.content}
-    elif isinstance(message, HumanMessage):
-        message_dict = {"role": "user", "content": message.content}
-    elif isinstance(message, AIMessage):
-        message_dict = {"role": "assistant", "content": message.content}
-    elif isinstance(message, SystemMessage):
-        message_dict = {"role": "system", "content": message.content}
-    else:
-        raise TypeError(f"Got unknown type {message}")
-    return message_dict
-
-
-def _create_retry_decorator(llm: ChatLindormAI) -> Callable[[Any], Any]:
-    min_seconds = 1
-    max_seconds = 4
-    return retry(
-        reraise=True,
-        stop=stop_after_attempt(llm.max_retries),
-        wait=wait_exponential(multiplier=1, min=min_seconds, max=max_seconds),
-        retry=(retry_if_exception_type(HTTPError)),
-        before_sleep=before_sleep_log(logger, logging.WARNING),
-    )
-
-
-class ChatLindormAI(BaseChatModel):
-    """LindormAI chat models API.
-
-    To use, you should have the ``lindormai`` python package installed,
-    and set variable ``endpoint``, ``username``, ``password`` and ``model_name``.
-
-    Example:
-        .. code-block:: python
-            from langchain_community.chat_models.lindormai import ChatLindormAI
-            lindorm_ai_chat = ChatLindormAI(
-                endpoint='https://ld-xxx-proxy-ml.lindorm.rds.aliyuncs.com:9002',
-                username='root',
-                password='xxx',
-                model_name='qwen-72b'
-            )
-    """
-
-    client: Any  #: :meta private:
-    endpoint: str = Field(...)
-    username: str = Field(...)
-    password: str = Field(...)
-    model_name: str = Field(...)
-
-    max_tokens: Optional[int] = Field(
-        description="The maximum number of tokens to generate.",
-        default=DEFAULT_NUM_OUTPUTS,
-        gt=0,
-    )
-    temperature: Optional[float] = Field(
-        description="The temperature to use during generation.",
-        default=DEFAULT_TEMPERATURE,
-        gte=0.0,
-        lte=2.0,
-    )
-    top_k: Optional[int] = Field(
-        description="Sample counter when generate.", default=None
-    )
-    top_p: Optional[float] = Field(
-        description="Sample probability threshold when generate.", default=None
-    )
-    seed: Optional[int] = Field(
-        description="Random seed when generate.", default=1234, gte=0
-    )
-    repetition_penalty: Optional[float] = Field(
-        description="Penalty for repeated words in generated text; 1.0 is no penalty.",
-        default=None,
-    )
-    max_retries: int = 10
-    streaming: bool = False
-
-    @property
-    def _llm_type(self) -> str:
-        """Return type of llm."""
-        return "lindormai"
-
-    @root_validator()
-    def validate_environment(cls, values: Dict) -> Dict:
-        """Ensure the client is initialized properly."""
-        if not values.get("client"):
-            try:
-                import lindormai
-            except ImportError:
-                raise ImportError(
-                    "Could not import lindormai python package. "
-                    "Please install it with `pip install lindormai-x.y.z-py3-none-any.whl`."
-                )
-
-            from lindormai.model_manager import ModelManager
-            values["client"] = ModelManager(values['endpoint'], values['username'], values['password'])
-        return values
-
-    @property
-    def _default_params(self) -> Dict[str, Any]:
-        """Get the default parameters for calling Lindorm AI SDK."""
-        default_params = {
-            "model": self.model_name,
-            "max_tokens": self.max_tokens,
-            "streaming": self.streaming,
-            "temperature": self.temperature,
-            "seed": self.seed,
-        }
-        if self.top_k is not None:
-            default_params["top_k"] = self.top_k
-        if self.top_p is not None:
-            default_params["top_p"] = self.top_p
-        return default_params
-
-    def completion_with_retry(self, **kwargs: Any) -> Any:
-        """Use tenacity to retry the completion call."""
-        retry_decorator = _create_retry_decorator(self)
-
-        @retry_decorator
-        def _completion_with_retry(**_kwargs: Any) -> Any:
-            return self.client.infer(name=self.model_name, input_data=str(_kwargs["input_data"]), params=_kwargs)
-
-        return _completion_with_retry(**kwargs)
-
-    def stream_completion_with_retry(self, **kwargs: Any) -> Any:
-        """Use tenacity to retry the completion call."""
-        retry_decorator = _create_retry_decorator(self)
-
-        @retry_decorator
-        def _stream_completion_with_retry(**_kwargs: Any) -> Any:
-            responses = self.client.stream_infer(name=self.model_name, input_data=str(_kwargs["input_data"]),
-                                                  params=_kwargs)
-            for resp in responses:
-                yield resp
-
-        return _stream_completion_with_retry(**kwargs)
-
-    def _generate(
-            self,
-            messages: List[BaseMessage],
-            stop: Optional[List[str]] = None,
-            run_manager: Optional[CallbackManagerForLLMRun] = None,
-            **kwargs: Any,
-    ) -> ChatResult:
-        generations = []
-        if self.streaming:
-            generation: Optional[ChatGenerationChunk] = None
-            for chunk in self._stream(messages, stop=stop, run_manager=run_manager, **kwargs):
-                if generation is None:
-                    generation = chunk
-                else:
-                    generation += chunk
-            assert generation is not None
-            generations.append(self._chunk_to_generation(generation))
-        else:
-            params: Dict[str, Any] = self._invocation_params(messages=messages, stop=stop, **kwargs)
-            params["force_nonstream"] = True
-            resp = self.completion_with_retry(**params)
-            generations.append(
-                ChatGeneration(**self._chat_generation_from_lindormai_resp(resp))
-            )
-        return ChatResult(
-            generations=generations,
-            llm_output={
-                "model_name": self.model_name,
-            },
-        )
-
-    async def _agenerate(
-            self,
-            messages: List[BaseMessage],
-            stop: Optional[List[str]] = None,
-            run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
-            **kwargs: Any,
-    ) -> ChatResult:
-        raise NotImplementedError("Please use `_generate`. Official does not support asynchronous requests")
-
-    def _stream(
-            self,
-            messages: List[BaseMessage],
-            stop: Optional[List[str]] = None,
-            run_manager: Optional[CallbackManagerForLLMRun] = None,
-            **kwargs: Any,
-    ) -> Iterator[ChatGenerationChunk]:
-        params: Dict[str, Any] = self._invocation_params(messages=messages, stop=stop, stream=True, **kwargs)
-        for stream_resp in self.stream_completion_with_retry(**params):
-            chunk = ChatGenerationChunk(
-                **self._chat_generation_from_lindormai_resp(stream_resp, is_chunk=True)
-            )
-            if run_manager:
-                run_manager.on_llm_new_token(chunk.text, chunk=chunk)
-            yield chunk
-
-    async def _astream(
-            self,
-            messages: List[BaseMessage],
-            stop: Optional[List[str]] = None,
-            run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
-            **kwargs: Any,
-    ) -> AsyncIterator[ChatGenerationChunk]:
-        raise NotImplementedError("Please use `_stream`. Official does not support asynchronous requests")
-
-    def _invocation_params(
-            self, messages: List[BaseMessage], stop: Any, **kwargs: Any
-    ) -> Dict[str, Any]:
-        params = {**self._default_params, **kwargs}
-        if stop is not None:
-            params["stop"] = stop
-        if params.get("stream"):
-            params["stream"] = True
-        message_dicts = [convert_message_to_dict(m) for m in messages]
-        # According to the docs, the last message should be a `user` message
-        if message_dicts[-1]["role"] != "user":
-            raise ValueError("Last message should be a user message.")
-        # And the `system` message should be the first message if present
-        system_message_indices = [
-            i for i, m in enumerate(message_dicts) if m["role"] == "system"
-        ]
-        if len(system_message_indices) == 1 and system_message_indices[0] != 0:
-            raise ValueError("System message can only be the first message.")
-        elif len(system_message_indices) > 1:
-            raise ValueError("There can only be one system message at most.")
-        params["input_data"] = message_dicts
-        return params
-
-    def _combine_llm_outputs(self, llm_outputs: List[Optional[dict]]) -> dict:
-        if llm_outputs[0] is None:
-            return {}
-        return llm_outputs[0]
-
-    @staticmethod
-    def _chat_generation_from_lindormai_resp(
-            resp: Any, is_chunk: bool = False
-    ) -> Dict[str, Any]:
-        if resp is None:
-            raise ValueError("Response cannot be None")
-        elif 'output' in resp:
-            content = resp['output']
-        else:
-            content = ''
-            for output in resp['outputs']:
-                content += output
-        return dict(
-            message=AIMessage(content=content)
-        )
-
-    @staticmethod
-    def _chunk_to_generation(chunk: ChatGenerationChunk) -> ChatGeneration:
-        return ChatGeneration(
-            message=convert_message_chunk_to_message(chunk.message),
-            generation_info=chunk.generation_info,
-        )
-
-    def bind_functions(
-            self,
-            functions: Sequence[Union[Dict[str, Any], Type[BaseModel], Callable]],
-            function_call: Optional[str] = None,
-            **kwargs: Any,
-    ) -> Runnable[LanguageModelInput, BaseMessage]:
-        """TODO(minshan): Bind functions (and other objects) to this chat model. This method will be used for function calls in the future.
-
-        Args:
-            functions: A list of function definitions to bind to this chat model.
-                Can be a dictionary, pydantic model, or callable. Pydantic
-                models and callables will be automatically converted to
-                their schema dictionary representation.
-            function_call: Which function to require the model to call.
-                Must be the name of the single provided function or
-                "auto" to automatically determine which function to call
-                (if any).
-            kwargs: Any additional parameters to pass to the
-                :class:`~langchain.runnable.Runnable` constructor.
-        """
-        from langchain.chains.openai_functions.base import convert_to_openai_function
-
-        formatted_functions = [convert_to_openai_function(fn) for fn in functions]
-
-        if function_call is not None:
-            if len(formatted_functions) != 1:
-                raise ValueError(
-                    "When specifying `function_call`, you must provide exactly one "
-                    "function."
-                )
-            if formatted_functions[0]["name"] != function_call:
-                raise ValueError(
-                    f"Function call {function_call} was specified, but the only "
-                    f"provided function was {formatted_functions[0]['name']}."
-                )
-            function_call_ = {"name": function_call}
-            kwargs = {**kwargs, "function_call": function_call_}
-
-        return super().bind(
-            functions=formatted_functions,
-            **kwargs,
-        )
diff --git a/libs/community/tests/integration_tests/chat_models/test_litellm_standard.py b/libs/community/tests/integration_tests/chat_models/test_litellm_standard.py
index 972617617bd4c..5e87e3ac8a0e2 100644
--- a/libs/community/tests/integration_tests/chat_models/test_litellm_standard.py
+++ b/libs/community/tests/integration_tests/chat_models/test_litellm_standard.py
@@ -4,7 +4,7 @@
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+from langchain_tests.integration_tests import ChatModelIntegrationTests
 
 from langchain_community.chat_models.litellm import ChatLiteLLM
 
diff --git a/libs/community/tests/integration_tests/chat_models/test_moonshot.py b/libs/community/tests/integration_tests/chat_models/test_moonshot.py
index 68d9f43b5d8f0..de4725cfa6c8e 100644
--- a/libs/community/tests/integration_tests/chat_models/test_moonshot.py
+++ b/libs/community/tests/integration_tests/chat_models/test_moonshot.py
@@ -4,7 +4,7 @@
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+from langchain_tests.integration_tests import ChatModelIntegrationTests
 from pydantic import SecretStr
 
 from langchain_community.chat_models.moonshot import MoonshotChat
diff --git a/libs/community/tests/integration_tests/storage/test_mongodb.py b/libs/community/tests/integration_tests/storage/test_mongodb.py
index 850e4f73c2b47..82aa4b76057f3 100644
--- a/libs/community/tests/integration_tests/storage/test_mongodb.py
+++ b/libs/community/tests/integration_tests/storage/test_mongodb.py
@@ -2,7 +2,7 @@
 
 import pytest
 from langchain_core.documents import Document
-from langchain_standard_tests.integration_tests.base_store import BaseStoreSyncTests
+from langchain_tests.integration_tests.base_store import BaseStoreSyncTests
 
 from langchain_community.storage.mongodb import MongoDBByteStore, MongoDBStore
 
diff --git a/libs/community/tests/integration_tests/vectorstores/test_aperturedb.py b/libs/community/tests/integration_tests/vectorstores/test_aperturedb.py
index 9e5f370d7d4cb..15d65de90b136 100644
--- a/libs/community/tests/integration_tests/vectorstores/test_aperturedb.py
+++ b/libs/community/tests/integration_tests/vectorstores/test_aperturedb.py
@@ -3,7 +3,7 @@
 import uuid
 
 import pytest
-from langchain_standard_tests.integration_tests.vectorstores import (
+from langchain_tests.integration_tests.vectorstores import (
     AsyncReadWriteTestSuite,
     ReadWriteTestSuite,
 )
diff --git a/libs/community/tests/unit_tests/chat_models/test_cloudflare_workersai.py b/libs/community/tests/unit_tests/chat_models/test_cloudflare_workersai.py
index 940616048de02..0f0fabe3cd1e5 100644
--- a/libs/community/tests/unit_tests/chat_models/test_cloudflare_workersai.py
+++ b/libs/community/tests/unit_tests/chat_models/test_cloudflare_workersai.py
@@ -11,7 +11,7 @@
     SystemMessage,
     ToolMessage,
 )
-from langchain_standard_tests.unit_tests import ChatModelUnitTests
+from langchain_tests.unit_tests import ChatModelUnitTests
 
 from langchain_community.chat_models.cloudflare_workersai import (
     ChatCloudflareWorkersAI,
diff --git a/libs/community/tests/unit_tests/chat_models/test_litellm.py b/libs/community/tests/unit_tests/chat_models/test_litellm.py
index 583c53d64bd1d..1d11fe5bd3f0a 100644
--- a/libs/community/tests/unit_tests/chat_models/test_litellm.py
+++ b/libs/community/tests/unit_tests/chat_models/test_litellm.py
@@ -4,7 +4,7 @@
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.unit_tests import ChatModelUnitTests
+from langchain_tests.unit_tests import ChatModelUnitTests
 
 from langchain_community.chat_models.litellm import ChatLiteLLM
 
diff --git a/libs/community/tests/unit_tests/vectorstores/test_inmemory.py b/libs/community/tests/unit_tests/vectorstores/test_inmemory.py
index 6facca3429b2a..b650cda14fdd1 100644
--- a/libs/community/tests/unit_tests/vectorstores/test_inmemory.py
+++ b/libs/community/tests/unit_tests/vectorstores/test_inmemory.py
@@ -3,7 +3,7 @@
 
 import pytest
 from langchain_core.documents import Document
-from langchain_standard_tests.integration_tests.vectorstores import (
+from langchain_tests.integration_tests.vectorstores import (
     AsyncReadWriteTestSuite,
     ReadWriteTestSuite,
 )
diff --git a/libs/core/tests/unit_tests/indexing/test_in_memory_indexer.py b/libs/core/tests/unit_tests/indexing/test_in_memory_indexer.py
index 6ddeefc62330b..58ee2514644dd 100644
--- a/libs/core/tests/unit_tests/indexing/test_in_memory_indexer.py
+++ b/libs/core/tests/unit_tests/indexing/test_in_memory_indexer.py
@@ -3,7 +3,7 @@
 from collections.abc import AsyncGenerator, Generator
 
 import pytest
-from langchain_standard_tests.integration_tests.indexer import (
+from langchain_tests.integration_tests.indexer import (
     AsyncDocumentIndexTestSuite,
     DocumentIndexerTestSuite,
 )
diff --git a/libs/core/tests/unit_tests/stores/test_in_memory.py b/libs/core/tests/unit_tests/stores/test_in_memory.py
index 3c5f810b1fc6a..1ae91db4a385e 100644
--- a/libs/core/tests/unit_tests/stores/test_in_memory.py
+++ b/libs/core/tests/unit_tests/stores/test_in_memory.py
@@ -1,5 +1,5 @@
 import pytest
-from langchain_standard_tests.integration_tests.base_store import (
+from langchain_tests.integration_tests.base_store import (
     BaseStoreAsyncTests,
     BaseStoreSyncTests,
 )
diff --git a/libs/core/tests/unit_tests/vectorstores/test_in_memory.py b/libs/core/tests/unit_tests/vectorstores/test_in_memory.py
index 1ab6186882639..34764f99c1016 100644
--- a/libs/core/tests/unit_tests/vectorstores/test_in_memory.py
+++ b/libs/core/tests/unit_tests/vectorstores/test_in_memory.py
@@ -2,7 +2,7 @@
 from unittest.mock import AsyncMock, Mock
 
 import pytest
-from langchain_standard_tests.integration_tests.vectorstores import (
+from langchain_tests.integration_tests.vectorstores import (
     AsyncReadWriteTestSuite,
     ReadWriteTestSuite,
 )
diff --git a/libs/langchain/langchain/agents/output_parsers/react_single_input.py b/libs/langchain/langchain/agents/output_parsers/react_single_input.py
index f63821588fe5d..b853cb04aaa18 100644
--- a/libs/langchain/langchain/agents/output_parsers/react_single_input.py
+++ b/libs/langchain/langchain/agents/output_parsers/react_single_input.py
@@ -9,7 +9,7 @@
 
 FINAL_ANSWER_ACTION = "Final Answer:"
 MISSING_ACTION_AFTER_THOUGHT_ERROR_MESSAGE = (
-    "Invalid Format: Missing 'Action:' after 'Thought:"
+    "Invalid Format: Missing 'Action:' after 'Thought:'"
 )
 MISSING_ACTION_INPUT_AFTER_ACTION_ERROR_MESSAGE = (
     "Invalid Format: Missing 'Action Input:' after 'Action:'"
diff --git a/libs/langchain/tests/integration_tests/chat_models/test_base.py b/libs/langchain/tests/integration_tests/chat_models/test_base.py
index efed6e1d52290..baee018999c28 100644
--- a/libs/langchain/tests/integration_tests/chat_models/test_base.py
+++ b/libs/langchain/tests/integration_tests/chat_models/test_base.py
@@ -5,7 +5,7 @@
 from langchain_core.messages import AIMessage
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnableConfig
-from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+from langchain_tests.integration_tests import ChatModelIntegrationTests
 from pydantic import BaseModel
 
 from langchain.chat_models import init_chat_model
diff --git a/libs/partners/anthropic/tests/integration_tests/test_standard.py b/libs/partners/anthropic/tests/integration_tests/test_standard.py
index 241588f32a34c..dc69c1dda4034 100644
--- a/libs/partners/anthropic/tests/integration_tests/test_standard.py
+++ b/libs/partners/anthropic/tests/integration_tests/test_standard.py
@@ -5,7 +5,7 @@
 
 from langchain_core.language_models import BaseChatModel
 from langchain_core.messages import AIMessage
-from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+from langchain_tests.integration_tests import ChatModelIntegrationTests
 
 from langchain_anthropic import ChatAnthropic
 
diff --git a/libs/partners/anthropic/tests/unit_tests/test_standard.py b/libs/partners/anthropic/tests/unit_tests/test_standard.py
index 7976dcb2bc9cf..7879e2995bb8e 100644
--- a/libs/partners/anthropic/tests/unit_tests/test_standard.py
+++ b/libs/partners/anthropic/tests/unit_tests/test_standard.py
@@ -3,7 +3,7 @@
 from typing import Type
 
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.unit_tests import ChatModelUnitTests
+from langchain_tests.unit_tests import ChatModelUnitTests
 
 from langchain_anthropic import ChatAnthropic
 
diff --git a/libs/partners/fireworks/tests/integration_tests/test_standard.py b/libs/partners/fireworks/tests/integration_tests/test_standard.py
index cfefb2445e6a3..692dcb40cf357 100644
--- a/libs/partners/fireworks/tests/integration_tests/test_standard.py
+++ b/libs/partners/fireworks/tests/integration_tests/test_standard.py
@@ -4,7 +4,7 @@
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.integration_tests import (  # type: ignore[import-not-found]
+from langchain_tests.integration_tests import (  # type: ignore[import-not-found]
     ChatModelIntegrationTests,  # type: ignore[import-not-found]
 )
 
diff --git a/libs/partners/fireworks/tests/unit_tests/test_embeddings_standard.py b/libs/partners/fireworks/tests/unit_tests/test_embeddings_standard.py
index ea8d16f92d0a8..44b6197a39181 100644
--- a/libs/partners/fireworks/tests/unit_tests/test_embeddings_standard.py
+++ b/libs/partners/fireworks/tests/unit_tests/test_embeddings_standard.py
@@ -3,7 +3,7 @@
 from typing import Tuple, Type
 
 from langchain_core.embeddings import Embeddings
-from langchain_standard_tests.unit_tests.embeddings import EmbeddingsUnitTests
+from langchain_tests.unit_tests.embeddings import EmbeddingsUnitTests
 
 from langchain_fireworks import FireworksEmbeddings
 
diff --git a/libs/partners/fireworks/tests/unit_tests/test_standard.py b/libs/partners/fireworks/tests/unit_tests/test_standard.py
index 61d0d152ba831..4f444897154a8 100644
--- a/libs/partners/fireworks/tests/unit_tests/test_standard.py
+++ b/libs/partners/fireworks/tests/unit_tests/test_standard.py
@@ -3,7 +3,7 @@
 from typing import Tuple, Type
 
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.unit_tests import (  # type: ignore[import-not-found]
+from langchain_tests.unit_tests import (  # type: ignore[import-not-found]
     ChatModelUnitTests,  # type: ignore[import-not-found]
 )
 
diff --git a/libs/partners/groq/tests/integration_tests/test_chat_models.py b/libs/partners/groq/tests/integration_tests/test_chat_models.py
index 1b2cf05b54239..a672de34bc53e 100644
--- a/libs/partners/groq/tests/integration_tests/test_chat_models.py
+++ b/libs/partners/groq/tests/integration_tests/test_chat_models.py
@@ -395,7 +395,7 @@ class Joke(BaseModel):
 
 
 def test_tool_calling_no_arguments() -> None:
-    # Note: this is a variant of a test in langchain_standard_tests
+    # Note: this is a variant of a test in langchain_tests
     # that as of 2024-08-19 fails with "Failed to call a function. Please
     # adjust your prompt." when `tool_choice="any"` is specified, but
     # passes when `tool_choice` is not specified.
diff --git a/libs/partners/groq/tests/integration_tests/test_standard.py b/libs/partners/groq/tests/integration_tests/test_standard.py
index d34257b4c529e..3870ae953f6ee 100644
--- a/libs/partners/groq/tests/integration_tests/test_standard.py
+++ b/libs/partners/groq/tests/integration_tests/test_standard.py
@@ -5,7 +5,7 @@
 import pytest
 from langchain_core.language_models import BaseChatModel
 from langchain_core.rate_limiters import InMemoryRateLimiter
-from langchain_standard_tests.integration_tests import (
+from langchain_tests.integration_tests import (
     ChatModelIntegrationTests,
 )
 
diff --git a/libs/partners/groq/tests/unit_tests/test_standard.py b/libs/partners/groq/tests/unit_tests/test_standard.py
index 939d817499e25..e4df2916f3052 100644
--- a/libs/partners/groq/tests/unit_tests/test_standard.py
+++ b/libs/partners/groq/tests/unit_tests/test_standard.py
@@ -3,7 +3,7 @@
 from typing import Type
 
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.unit_tests.chat_models import (
+from langchain_tests.unit_tests.chat_models import (
     ChatModelUnitTests,
 )
 
diff --git a/libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py b/libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py
index 4f5cefcbdff2c..a878bea8cfa8a 100644
--- a/libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py
+++ b/libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py
@@ -2,7 +2,7 @@
 
 from typing import Type
 
-from langchain_standard_tests.integration_tests import EmbeddingsIntegrationTests
+from langchain_tests.integration_tests import EmbeddingsIntegrationTests
 
 from langchain_huggingface.embeddings import (
     HuggingFaceEmbeddings,
diff --git a/libs/partners/huggingface/tests/integration_tests/test_standard.py b/libs/partners/huggingface/tests/integration_tests/test_standard.py
index 34392e979f437..682a4c625ee9f 100644
--- a/libs/partners/huggingface/tests/integration_tests/test_standard.py
+++ b/libs/partners/huggingface/tests/integration_tests/test_standard.py
@@ -4,7 +4,7 @@
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+from langchain_tests.integration_tests import ChatModelIntegrationTests
 
 from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint
 
diff --git a/libs/partners/mistralai/tests/integration_tests/test_standard.py b/libs/partners/mistralai/tests/integration_tests/test_standard.py
index cea6399ee4cd8..822f2284abc1c 100644
--- a/libs/partners/mistralai/tests/integration_tests/test_standard.py
+++ b/libs/partners/mistralai/tests/integration_tests/test_standard.py
@@ -3,7 +3,7 @@
 from typing import Optional, Type
 
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.integration_tests import (  # type: ignore[import-not-found]
+from langchain_tests.integration_tests import (  # type: ignore[import-not-found]
     ChatModelIntegrationTests,  # type: ignore[import-not-found]
 )
 
diff --git a/libs/partners/mistralai/tests/unit_tests/test_standard.py b/libs/partners/mistralai/tests/unit_tests/test_standard.py
index 408a6e5a6b9f8..fde82de2d5071 100644
--- a/libs/partners/mistralai/tests/unit_tests/test_standard.py
+++ b/libs/partners/mistralai/tests/unit_tests/test_standard.py
@@ -3,7 +3,7 @@
 from typing import Type
 
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.unit_tests import (  # type: ignore[import-not-found]
+from langchain_tests.unit_tests import (  # type: ignore[import-not-found]
     ChatModelUnitTests,  # type: ignore[import-not-found]
 )
 
diff --git a/libs/partners/ollama/tests/integration_tests/test_chat_models.py b/libs/partners/ollama/tests/integration_tests/test_chat_models.py
index 10ffcb39d2777..9133106cae7b9 100644
--- a/libs/partners/ollama/tests/integration_tests/test_chat_models.py
+++ b/libs/partners/ollama/tests/integration_tests/test_chat_models.py
@@ -4,7 +4,7 @@
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+from langchain_tests.integration_tests import ChatModelIntegrationTests
 
 from langchain_ollama.chat_models import ChatOllama
 
diff --git a/libs/partners/ollama/tests/integration_tests/test_embeddings.py b/libs/partners/ollama/tests/integration_tests/test_embeddings.py
index 26722362e6b66..0953510c901aa 100644
--- a/libs/partners/ollama/tests/integration_tests/test_embeddings.py
+++ b/libs/partners/ollama/tests/integration_tests/test_embeddings.py
@@ -2,7 +2,7 @@
 
 from typing import Type
 
-from langchain_standard_tests.integration_tests import EmbeddingsIntegrationTests
+from langchain_tests.integration_tests import EmbeddingsIntegrationTests
 
 from langchain_ollama.embeddings import OllamaEmbeddings
 
diff --git a/libs/partners/ollama/tests/unit_tests/test_chat_models.py b/libs/partners/ollama/tests/unit_tests/test_chat_models.py
index d086914310489..850e3423e0bf9 100644
--- a/libs/partners/ollama/tests/unit_tests/test_chat_models.py
+++ b/libs/partners/ollama/tests/unit_tests/test_chat_models.py
@@ -2,7 +2,7 @@
 
 from typing import Dict, Type
 
-from langchain_standard_tests.unit_tests import ChatModelUnitTests
+from langchain_tests.unit_tests import ChatModelUnitTests
 
 from langchain_ollama.chat_models import ChatOllama
 
diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py
index 7d69b27fb1bc8..94c96202b07f6 100644
--- a/libs/partners/openai/langchain_openai/chat_models/base.py
+++ b/libs/partners/openai/langchain_openai/chat_models/base.py
@@ -993,9 +993,6 @@ def _should_stream(
             # TODO: Add support for streaming with Pydantic response_format.
             warnings.warn("Streaming with Pydantic response_format not yet supported.")
             return False
-        if self.model_name is not None and self.model_name.startswith("o1"):
-            # TODO: Add support for streaming with o1 once supported.
-            return False
 
         return super()._should_stream(
             async_api=async_api, run_manager=run_manager, **kwargs
diff --git a/libs/partners/openai/poetry.lock b/libs/partners/openai/poetry.lock
index 17cd5f497af25..118f8dc31d35c 100644
--- a/libs/partners/openai/poetry.lock
+++ b/libs/partners/openai/poetry.lock
@@ -188,73 +188,73 @@ files = [
 
 [[package]]
 name = "coverage"
-version = "7.6.4"
+version = "7.6.7"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "coverage-7.6.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5f8ae553cba74085db385d489c7a792ad66f7f9ba2ee85bfa508aeb84cf0ba07"},
-    {file = "coverage-7.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8165b796df0bd42e10527a3f493c592ba494f16ef3c8b531288e3d0d72c1f6f0"},
-    {file = "coverage-7.6.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c7c8b95bf47db6d19096a5e052ffca0a05f335bc63cef281a6e8fe864d450a72"},
-    {file = "coverage-7.6.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8ed9281d1b52628e81393f5eaee24a45cbd64965f41857559c2b7ff19385df51"},
-    {file = "coverage-7.6.4-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0809082ee480bb8f7416507538243c8863ac74fd8a5d2485c46f0f7499f2b491"},
-    {file = "coverage-7.6.4-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d541423cdd416b78626b55f123412fcf979d22a2c39fce251b350de38c15c15b"},
-    {file = "coverage-7.6.4-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:58809e238a8a12a625c70450b48e8767cff9eb67c62e6154a642b21ddf79baea"},
-    {file = "coverage-7.6.4-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c9b8e184898ed014884ca84c70562b4a82cbc63b044d366fedc68bc2b2f3394a"},
-    {file = "coverage-7.6.4-cp310-cp310-win32.whl", hash = "sha256:6bd818b7ea14bc6e1f06e241e8234508b21edf1b242d49831831a9450e2f35fa"},
-    {file = "coverage-7.6.4-cp310-cp310-win_amd64.whl", hash = "sha256:06babbb8f4e74b063dbaeb74ad68dfce9186c595a15f11f5d5683f748fa1d172"},
-    {file = "coverage-7.6.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:73d2b73584446e66ee633eaad1a56aad577c077f46c35ca3283cd687b7715b0b"},
-    {file = "coverage-7.6.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:51b44306032045b383a7a8a2c13878de375117946d68dcb54308111f39775a25"},
-    {file = "coverage-7.6.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b3fb02fe73bed561fa12d279a417b432e5b50fe03e8d663d61b3d5990f29546"},
-    {file = "coverage-7.6.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed8fe9189d2beb6edc14d3ad19800626e1d9f2d975e436f84e19efb7fa19469b"},
-    {file = "coverage-7.6.4-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b369ead6527d025a0fe7bd3864e46dbee3aa8f652d48df6174f8d0bac9e26e0e"},
-    {file = "coverage-7.6.4-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ade3ca1e5f0ff46b678b66201f7ff477e8fa11fb537f3b55c3f0568fbfe6e718"},
-    {file = "coverage-7.6.4-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:27fb4a050aaf18772db513091c9c13f6cb94ed40eacdef8dad8411d92d9992db"},
-    {file = "coverage-7.6.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4f704f0998911abf728a7783799444fcbbe8261c4a6c166f667937ae6a8aa522"},
-    {file = "coverage-7.6.4-cp311-cp311-win32.whl", hash = "sha256:29155cd511ee058e260db648b6182c419422a0d2e9a4fa44501898cf918866cf"},
-    {file = "coverage-7.6.4-cp311-cp311-win_amd64.whl", hash = "sha256:8902dd6a30173d4ef09954bfcb24b5d7b5190cf14a43170e386979651e09ba19"},
-    {file = "coverage-7.6.4-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:12394842a3a8affa3ba62b0d4ab7e9e210c5e366fbac3e8b2a68636fb19892c2"},
-    {file = "coverage-7.6.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2b6b4c83d8e8ea79f27ab80778c19bc037759aea298da4b56621f4474ffeb117"},
-    {file = "coverage-7.6.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d5b8007f81b88696d06f7df0cb9af0d3b835fe0c8dbf489bad70b45f0e45613"},
-    {file = "coverage-7.6.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b57b768feb866f44eeed9f46975f3d6406380275c5ddfe22f531a2bf187eda27"},
-    {file = "coverage-7.6.4-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5915fcdec0e54ee229926868e9b08586376cae1f5faa9bbaf8faf3561b393d52"},
-    {file = "coverage-7.6.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0b58c672d14f16ed92a48db984612f5ce3836ae7d72cdd161001cc54512571f2"},
-    {file = "coverage-7.6.4-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:2fdef0d83a2d08d69b1f2210a93c416d54e14d9eb398f6ab2f0a209433db19e1"},
-    {file = "coverage-7.6.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:8cf717ee42012be8c0cb205dbbf18ffa9003c4cbf4ad078db47b95e10748eec5"},
-    {file = "coverage-7.6.4-cp312-cp312-win32.whl", hash = "sha256:7bb92c539a624cf86296dd0c68cd5cc286c9eef2d0c3b8b192b604ce9de20a17"},
-    {file = "coverage-7.6.4-cp312-cp312-win_amd64.whl", hash = "sha256:1032e178b76a4e2b5b32e19d0fd0abbce4b58e77a1ca695820d10e491fa32b08"},
-    {file = "coverage-7.6.4-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:023bf8ee3ec6d35af9c1c6ccc1d18fa69afa1cb29eaac57cb064dbb262a517f9"},
-    {file = "coverage-7.6.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:b0ac3d42cb51c4b12df9c5f0dd2f13a4f24f01943627120ec4d293c9181219ba"},
-    {file = "coverage-7.6.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8fe4984b431f8621ca53d9380901f62bfb54ff759a1348cd140490ada7b693c"},
-    {file = "coverage-7.6.4-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5fbd612f8a091954a0c8dd4c0b571b973487277d26476f8480bfa4b2a65b5d06"},
-    {file = "coverage-7.6.4-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dacbc52de979f2823a819571f2e3a350a7e36b8cb7484cdb1e289bceaf35305f"},
-    {file = "coverage-7.6.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dab4d16dfef34b185032580e2f2f89253d302facba093d5fa9dbe04f569c4f4b"},
-    {file = "coverage-7.6.4-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:862264b12ebb65ad8d863d51f17758b1684560b66ab02770d4f0baf2ff75da21"},
-    {file = "coverage-7.6.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5beb1ee382ad32afe424097de57134175fea3faf847b9af002cc7895be4e2a5a"},
-    {file = "coverage-7.6.4-cp313-cp313-win32.whl", hash = "sha256:bf20494da9653f6410213424f5f8ad0ed885e01f7e8e59811f572bdb20b8972e"},
-    {file = "coverage-7.6.4-cp313-cp313-win_amd64.whl", hash = "sha256:182e6cd5c040cec0a1c8d415a87b67ed01193ed9ad458ee427741c7d8513d963"},
-    {file = "coverage-7.6.4-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:a181e99301a0ae128493a24cfe5cfb5b488c4e0bf2f8702091473d033494d04f"},
-    {file = "coverage-7.6.4-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:df57bdbeffe694e7842092c5e2e0bc80fff7f43379d465f932ef36f027179806"},
-    {file = "coverage-7.6.4-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0bcd1069e710600e8e4cf27f65c90c7843fa8edfb4520fb0ccb88894cad08b11"},
-    {file = "coverage-7.6.4-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:99b41d18e6b2a48ba949418db48159d7a2e81c5cc290fc934b7d2380515bd0e3"},
-    {file = "coverage-7.6.4-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a6b1e54712ba3474f34b7ef7a41e65bd9037ad47916ccb1cc78769bae324c01a"},
-    {file = "coverage-7.6.4-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:53d202fd109416ce011578f321460795abfe10bb901b883cafd9b3ef851bacfc"},
-    {file = "coverage-7.6.4-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:c48167910a8f644671de9f2083a23630fbf7a1cb70ce939440cd3328e0919f70"},
-    {file = "coverage-7.6.4-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:cc8ff50b50ce532de2fa7a7daae9dd12f0a699bfcd47f20945364e5c31799fef"},
-    {file = "coverage-7.6.4-cp313-cp313t-win32.whl", hash = "sha256:b8d3a03d9bfcaf5b0141d07a88456bb6a4c3ce55c080712fec8418ef3610230e"},
-    {file = "coverage-7.6.4-cp313-cp313t-win_amd64.whl", hash = "sha256:f3ddf056d3ebcf6ce47bdaf56142af51bb7fad09e4af310241e9db7a3a8022e1"},
-    {file = "coverage-7.6.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9cb7fa111d21a6b55cbf633039f7bc2749e74932e3aa7cb7333f675a58a58bf3"},
-    {file = "coverage-7.6.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:11a223a14e91a4693d2d0755c7a043db43d96a7450b4f356d506c2562c48642c"},
-    {file = "coverage-7.6.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a413a096c4cbac202433c850ee43fa326d2e871b24554da8327b01632673a076"},
-    {file = "coverage-7.6.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00a1d69c112ff5149cabe60d2e2ee948752c975d95f1e1096742e6077affd376"},
-    {file = "coverage-7.6.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f76846299ba5c54d12c91d776d9605ae33f8ae2b9d1d3c3703cf2db1a67f2c0"},
-    {file = "coverage-7.6.4-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:fe439416eb6380de434886b00c859304338f8b19f6f54811984f3420a2e03858"},
-    {file = "coverage-7.6.4-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:0294ca37f1ba500667b1aef631e48d875ced93ad5e06fa665a3295bdd1d95111"},
-    {file = "coverage-7.6.4-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6f01ba56b1c0e9d149f9ac85a2f999724895229eb36bd997b61e62999e9b0901"},
-    {file = "coverage-7.6.4-cp39-cp39-win32.whl", hash = "sha256:bc66f0bf1d7730a17430a50163bb264ba9ded56739112368ba985ddaa9c3bd09"},
-    {file = "coverage-7.6.4-cp39-cp39-win_amd64.whl", hash = "sha256:c481b47f6b5845064c65a7bc78bc0860e635a9b055af0df46fdf1c58cebf8e8f"},
-    {file = "coverage-7.6.4-pp39.pp310-none-any.whl", hash = "sha256:3c65d37f3a9ebb703e710befdc489a38683a5b152242664b973a7b7b22348a4e"},
-    {file = "coverage-7.6.4.tar.gz", hash = "sha256:29fc0f17b1d3fea332f8001d4558f8214af7f1d87a345f3a133c901d60347c73"},
+    {file = "coverage-7.6.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:108bb458827765d538abcbf8288599fee07d2743357bdd9b9dad456c287e121e"},
+    {file = "coverage-7.6.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c973b2fe4dc445cb865ab369df7521df9c27bf40715c837a113edaa2aa9faf45"},
+    {file = "coverage-7.6.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c6b24007c4bcd0b19fac25763a7cac5035c735ae017e9a349b927cfc88f31c1"},
+    {file = "coverage-7.6.7-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:acbb8af78f8f91b3b51f58f288c0994ba63c646bc1a8a22ad072e4e7e0a49f1c"},
+    {file = "coverage-7.6.7-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad32a981bcdedb8d2ace03b05e4fd8dace8901eec64a532b00b15217d3677dd2"},
+    {file = "coverage-7.6.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:34d23e28ccb26236718a3a78ba72744212aa383141961dd6825f6595005c8b06"},
+    {file = "coverage-7.6.7-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e25bacb53a8c7325e34d45dddd2f2fbae0dbc230d0e2642e264a64e17322a777"},
+    {file = "coverage-7.6.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:af05bbba896c4472a29408455fe31b3797b4d8648ed0a2ccac03e074a77e2314"},
+    {file = "coverage-7.6.7-cp310-cp310-win32.whl", hash = "sha256:796c9b107d11d2d69e1849b2dfe41730134b526a49d3acb98ca02f4985eeff7a"},
+    {file = "coverage-7.6.7-cp310-cp310-win_amd64.whl", hash = "sha256:987a8e3da7da4eed10a20491cf790589a8e5e07656b6dc22d3814c4d88faf163"},
+    {file = "coverage-7.6.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7e61b0e77ff4dddebb35a0e8bb5a68bf0f8b872407d8d9f0c726b65dfabe2469"},
+    {file = "coverage-7.6.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1a5407a75ca4abc20d6252efeb238377a71ce7bda849c26c7a9bece8680a5d99"},
+    {file = "coverage-7.6.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df002e59f2d29e889c37abd0b9ee0d0e6e38c24f5f55d71ff0e09e3412a340ec"},
+    {file = "coverage-7.6.7-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:673184b3156cba06154825f25af33baa2671ddae6343f23175764e65a8c4c30b"},
+    {file = "coverage-7.6.7-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e69ad502f1a2243f739f5bd60565d14a278be58be4c137d90799f2c263e7049a"},
+    {file = "coverage-7.6.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:60dcf7605c50ea72a14490d0756daffef77a5be15ed1b9fea468b1c7bda1bc3b"},
+    {file = "coverage-7.6.7-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:9c2eb378bebb2c8f65befcb5147877fc1c9fbc640fc0aad3add759b5df79d55d"},
+    {file = "coverage-7.6.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3c0317288f032221d35fa4cbc35d9f4923ff0dfd176c79c9b356e8ef8ef2dff4"},
+    {file = "coverage-7.6.7-cp311-cp311-win32.whl", hash = "sha256:951aade8297358f3618a6e0660dc74f6b52233c42089d28525749fc8267dccd2"},
+    {file = "coverage-7.6.7-cp311-cp311-win_amd64.whl", hash = "sha256:5e444b8e88339a2a67ce07d41faabb1d60d1004820cee5a2c2b54e2d8e429a0f"},
+    {file = "coverage-7.6.7-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f07ff574986bc3edb80e2c36391678a271d555f91fd1d332a1e0f4b5ea4b6ea9"},
+    {file = "coverage-7.6.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:49ed5ee4109258973630c1f9d099c7e72c5c36605029f3a91fe9982c6076c82b"},
+    {file = "coverage-7.6.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3e8796434a8106b3ac025fd15417315d7a58ee3e600ad4dbcfddc3f4b14342c"},
+    {file = "coverage-7.6.7-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a3b925300484a3294d1c70f6b2b810d6526f2929de954e5b6be2bf8caa1f12c1"},
+    {file = "coverage-7.6.7-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c42ec2c522e3ddd683dec5cdce8e62817afb648caedad9da725001fa530d354"},
+    {file = "coverage-7.6.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0266b62cbea568bd5e93a4da364d05de422110cbed5056d69339bd5af5685433"},
+    {file = "coverage-7.6.7-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e5f2a0f161d126ccc7038f1f3029184dbdf8f018230af17ef6fd6a707a5b881f"},
+    {file = "coverage-7.6.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c132b5a22821f9b143f87446805e13580b67c670a548b96da945a8f6b4f2efbb"},
+    {file = "coverage-7.6.7-cp312-cp312-win32.whl", hash = "sha256:7c07de0d2a110f02af30883cd7dddbe704887617d5c27cf373362667445a4c76"},
+    {file = "coverage-7.6.7-cp312-cp312-win_amd64.whl", hash = "sha256:fd49c01e5057a451c30c9b892948976f5d38f2cbd04dc556a82743ba8e27ed8c"},
+    {file = "coverage-7.6.7-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:46f21663e358beae6b368429ffadf14ed0a329996248a847a4322fb2e35d64d3"},
+    {file = "coverage-7.6.7-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:40cca284c7c310d622a1677f105e8507441d1bb7c226f41978ba7c86979609ab"},
+    {file = "coverage-7.6.7-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77256ad2345c29fe59ae861aa11cfc74579c88d4e8dbf121cbe46b8e32aec808"},
+    {file = "coverage-7.6.7-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:87ea64b9fa52bf395272e54020537990a28078478167ade6c61da7ac04dc14bc"},
+    {file = "coverage-7.6.7-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d608a7808793e3615e54e9267519351c3ae204a6d85764d8337bd95993581a8"},
+    {file = "coverage-7.6.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:cdd94501d65adc5c24f8a1a0eda110452ba62b3f4aeaba01e021c1ed9cb8f34a"},
+    {file = "coverage-7.6.7-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:82c809a62e953867cf57e0548c2b8464207f5f3a6ff0e1e961683e79b89f2c55"},
+    {file = "coverage-7.6.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:bb684694e99d0b791a43e9fc0fa58efc15ec357ac48d25b619f207c41f2fd384"},
+    {file = "coverage-7.6.7-cp313-cp313-win32.whl", hash = "sha256:963e4a08cbb0af6623e61492c0ec4c0ec5c5cf74db5f6564f98248d27ee57d30"},
+    {file = "coverage-7.6.7-cp313-cp313-win_amd64.whl", hash = "sha256:14045b8bfd5909196a90da145a37f9d335a5d988a83db34e80f41e965fb7cb42"},
+    {file = "coverage-7.6.7-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:f2c7a045eef561e9544359a0bf5784b44e55cefc7261a20e730baa9220c83413"},
+    {file = "coverage-7.6.7-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:5dd4e4a49d9c72a38d18d641135d2fb0bdf7b726ca60a103836b3d00a1182acd"},
+    {file = "coverage-7.6.7-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c95e0fa3d1547cb6f021ab72f5c23402da2358beec0a8e6d19a368bd7b0fb37"},
+    {file = "coverage-7.6.7-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f63e21ed474edd23f7501f89b53280014436e383a14b9bd77a648366c81dce7b"},
+    {file = "coverage-7.6.7-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ead9b9605c54d15be228687552916c89c9683c215370c4a44f1f217d2adcc34d"},
+    {file = "coverage-7.6.7-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:0573f5cbf39114270842d01872952d301027d2d6e2d84013f30966313cadb529"},
+    {file = "coverage-7.6.7-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:e2c8e3384c12dfa19fa9a52f23eb091a8fad93b5b81a41b14c17c78e23dd1d8b"},
+    {file = "coverage-7.6.7-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:70a56a2ec1869e6e9fa69ef6b76b1a8a7ef709972b9cc473f9ce9d26b5997ce3"},
+    {file = "coverage-7.6.7-cp313-cp313t-win32.whl", hash = "sha256:dbba8210f5067398b2c4d96b4e64d8fb943644d5eb70be0d989067c8ca40c0f8"},
+    {file = "coverage-7.6.7-cp313-cp313t-win_amd64.whl", hash = "sha256:dfd14bcae0c94004baba5184d1c935ae0d1231b8409eb6c103a5fd75e8ecdc56"},
+    {file = "coverage-7.6.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:37a15573f988b67f7348916077c6d8ad43adb75e478d0910957394df397d2874"},
+    {file = "coverage-7.6.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b6cce5c76985f81da3769c52203ee94722cd5d5889731cd70d31fee939b74bf0"},
+    {file = "coverage-7.6.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a1ab9763d291a17b527ac6fd11d1a9a9c358280adb320e9c2672a97af346ac2c"},
+    {file = "coverage-7.6.7-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6cf96ceaa275f071f1bea3067f8fd43bec184a25a962c754024c973af871e1b7"},
+    {file = "coverage-7.6.7-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aee9cf6b0134d6f932d219ce253ef0e624f4fa588ee64830fcba193269e4daa3"},
+    {file = "coverage-7.6.7-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:2bc3e45c16564cc72de09e37413262b9f99167803e5e48c6156bccdfb22c8327"},
+    {file = "coverage-7.6.7-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:623e6965dcf4e28a3debaa6fcf4b99ee06d27218f46d43befe4db1c70841551c"},
+    {file = "coverage-7.6.7-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:850cfd2d6fc26f8346f422920ac204e1d28814e32e3a58c19c91980fa74d8289"},
+    {file = "coverage-7.6.7-cp39-cp39-win32.whl", hash = "sha256:c296263093f099da4f51b3dff1eff5d4959b527d4f2f419e16508c5da9e15e8c"},
+    {file = "coverage-7.6.7-cp39-cp39-win_amd64.whl", hash = "sha256:90746521206c88bdb305a4bf3342b1b7316ab80f804d40c536fc7d329301ee13"},
+    {file = "coverage-7.6.7-pp39.pp310-none-any.whl", hash = "sha256:0ddcb70b3a3a57581b450571b31cb774f23eb9519c2aaa6176d3a84c9fc57671"},
+    {file = "coverage-7.6.7.tar.gz", hash = "sha256:d79d4826e41441c9a118ff045e4bccb9fdbdcb1d02413e7ea6eb5c87b5439d24"},
 ]
 
 [package.dependencies]
@@ -315,13 +315,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.6"
+version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.6-py3-none-any.whl", hash = "sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f"},
-    {file = "httpcore-1.0.6.tar.gz", hash = "sha256:73f6dbd6eb8c21bbf7ef8efad555481853f5f6acdeaff1edb0694289269ee17f"},
+    {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
+    {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
 ]
 
 [package.dependencies]
@@ -537,13 +537,13 @@ url = "../../standard-tests"
 
 [[package]]
 name = "langsmith"
-version = "0.1.142"
+version = "0.1.143"
 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-0.1.142-py3-none-any.whl", hash = "sha256:f639ca23c9a0bb77af5fb881679b2f66ff1f21f19d0bebf4e51375e7585a8b38"},
-    {file = "langsmith-0.1.142.tar.gz", hash = "sha256:f8a84d100f3052233ff0a1d66ae14c5dfc20b7e41a1601de011384f16ee6cb82"},
+    {file = "langsmith-0.1.143-py3-none-any.whl", hash = "sha256:ba0d827269e9b03a90fababe41fa3e4e3f833300b95add10184f7e67167dde6f"},
+    {file = "langsmith-0.1.143.tar.gz", hash = "sha256:4c5159e5cd84b3f8499433009e72d2076dd2daf6c044ac8a3611b30d0d0161c5"},
 ]
 
 [package.dependencies]
@@ -667,13 +667,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.54.3"
+version = "1.54.4"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.54.3-py3-none-any.whl", hash = "sha256:f18dbaf09c50d70c4185b892a2a553f80681d1d866323a2da7f7be2f688615d5"},
-    {file = "openai-1.54.3.tar.gz", hash = "sha256:7511b74eeb894ac0b0253dc71f087a15d2e4d71d22d0088767205143d880cca6"},
+    {file = "openai-1.54.4-py3-none-any.whl", hash = "sha256:0d95cef99346bf9b6d7fbf57faf61a673924c3e34fa8af84c9ffe04660673a7e"},
+    {file = "openai-1.54.4.tar.gz", hash = "sha256:50f3656e45401c54e973fa05dc29f3f0b0d19348d685b2f7ddb4d92bf7b1b6bf"},
 ]
 
 [package.dependencies]
diff --git a/libs/partners/openai/pyproject.toml b/libs/partners/openai/pyproject.toml
index 492cbc63eac4b..744812533a7eb 100644
--- a/libs/partners/openai/pyproject.toml
+++ b/libs/partners/openai/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-openai"
-version = "0.2.8"
+version = "0.2.9"
 description = "An integration package connecting OpenAI and LangChain"
 authors = []
 readme = "README.md"
diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_azure_standard.py b/libs/partners/openai/tests/integration_tests/chat_models/test_azure_standard.py
index c99bfb1126e22..fff0599963c2f 100644
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_azure_standard.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_azure_standard.py
@@ -5,7 +5,7 @@
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+from langchain_tests.integration_tests import ChatModelIntegrationTests
 
 from langchain_openai import AzureChatOpenAI
 
diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
index 858ab1e4b4321..cbee0d7041850 100644
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
@@ -22,10 +22,8 @@
 )
 from langchain_core.outputs import ChatGeneration, ChatResult, LLMResult
 from langchain_core.prompts import ChatPromptTemplate
-from langchain_standard_tests.integration_tests.chat_models import (
-    _validate_tool_call_message,
-)
-from langchain_standard_tests.integration_tests.chat_models import (
+from langchain_tests.integration_tests.chat_models import _validate_tool_call_message
+from langchain_tests.integration_tests.chat_models import (
     magic_function as invalid_magic_function,
 )
 from pydantic import BaseModel, Field
@@ -1022,7 +1020,8 @@ def test_audio_input_modality() -> None:
 
 
 def test_prediction_tokens() -> None:
-    code = dedent("""
+    code = dedent(
+        """
     /// <summary>
     /// Represents a user with a first name, last name, and username.
     /// </summary>
@@ -1043,7 +1042,8 @@ def test_prediction_tokens() -> None:
         /// </summary>
         public string Username { get; set; }
     }
-    """)
+    """
+    )
 
     llm = ChatOpenAI(model="gpt-4o")
     query = (
diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py b/libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py
index b021603aace41..890e70268085f 100644
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py
@@ -5,7 +5,7 @@
 
 from langchain_core.language_models import BaseChatModel
 from langchain_core.messages import AIMessage
-from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+from langchain_tests.integration_tests import ChatModelIntegrationTests
 
 from langchain_openai import ChatOpenAI
 
diff --git a/libs/partners/openai/tests/unit_tests/chat_models/test_azure_standard.py b/libs/partners/openai/tests/unit_tests/chat_models/test_azure_standard.py
index 465c1dc0c22a5..3d1faa97db485 100644
--- a/libs/partners/openai/tests/unit_tests/chat_models/test_azure_standard.py
+++ b/libs/partners/openai/tests/unit_tests/chat_models/test_azure_standard.py
@@ -4,7 +4,7 @@
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.unit_tests import ChatModelUnitTests
+from langchain_tests.unit_tests import ChatModelUnitTests
 
 from langchain_openai import AzureChatOpenAI
 
diff --git a/libs/partners/openai/tests/unit_tests/chat_models/test_base_standard.py b/libs/partners/openai/tests/unit_tests/chat_models/test_base_standard.py
index 8049da874cbf3..d24ddd1e71f7e 100644
--- a/libs/partners/openai/tests/unit_tests/chat_models/test_base_standard.py
+++ b/libs/partners/openai/tests/unit_tests/chat_models/test_base_standard.py
@@ -3,7 +3,7 @@
 from typing import Tuple, Type
 
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.unit_tests import ChatModelUnitTests
+from langchain_tests.unit_tests import ChatModelUnitTests
 
 from langchain_openai import ChatOpenAI
 
diff --git a/libs/partners/openai/tests/unit_tests/embeddings/test_azure_standard.py b/libs/partners/openai/tests/unit_tests/embeddings/test_azure_standard.py
index b5f1591c476ca..a972fe5e38581 100644
--- a/libs/partners/openai/tests/unit_tests/embeddings/test_azure_standard.py
+++ b/libs/partners/openai/tests/unit_tests/embeddings/test_azure_standard.py
@@ -1,7 +1,7 @@
 from typing import Tuple, Type
 
 from langchain_core.embeddings import Embeddings
-from langchain_standard_tests.unit_tests.embeddings import EmbeddingsUnitTests
+from langchain_tests.unit_tests.embeddings import EmbeddingsUnitTests
 
 from langchain_openai import AzureOpenAIEmbeddings
 
diff --git a/libs/partners/openai/tests/unit_tests/embeddings/test_base_standard.py b/libs/partners/openai/tests/unit_tests/embeddings/test_base_standard.py
index b265e5600eb35..b1b2f2d368fa9 100644
--- a/libs/partners/openai/tests/unit_tests/embeddings/test_base_standard.py
+++ b/libs/partners/openai/tests/unit_tests/embeddings/test_base_standard.py
@@ -3,7 +3,7 @@
 from typing import Tuple, Type
 
 from langchain_core.embeddings import Embeddings
-from langchain_standard_tests.unit_tests.embeddings import EmbeddingsUnitTests
+from langchain_tests.unit_tests.embeddings import EmbeddingsUnitTests
 
 from langchain_openai import OpenAIEmbeddings
 
diff --git a/libs/partners/xai/tests/integration_tests/test_chat_models_standard.py b/libs/partners/xai/tests/integration_tests/test_chat_models_standard.py
index c686f7e19486c..1152fe44946f7 100644
--- a/libs/partners/xai/tests/integration_tests/test_chat_models_standard.py
+++ b/libs/partners/xai/tests/integration_tests/test_chat_models_standard.py
@@ -5,7 +5,7 @@
 import pytest  # type: ignore[import-not-found]
 from langchain_core.language_models import BaseChatModel
 from langchain_core.rate_limiters import InMemoryRateLimiter
-from langchain_standard_tests.integration_tests import (  # type: ignore[import-not-found]
+from langchain_tests.integration_tests import (  # type: ignore[import-not-found]
     ChatModelIntegrationTests,  # type: ignore[import-not-found]
 )
 
diff --git a/libs/partners/xai/tests/unit_tests/test_chat_models_standard.py b/libs/partners/xai/tests/unit_tests/test_chat_models_standard.py
index a0d6a5170a8d6..a70718f3224a2 100644
--- a/libs/partners/xai/tests/unit_tests/test_chat_models_standard.py
+++ b/libs/partners/xai/tests/unit_tests/test_chat_models_standard.py
@@ -3,7 +3,7 @@
 from typing import Tuple, Type
 
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.unit_tests import (  # type: ignore[import-not-found]
+from langchain_tests.unit_tests import (  # type: ignore[import-not-found]
     ChatModelUnitTests,  # type: ignore[import-not-found]
 )
 
diff --git a/libs/standard-tests/Makefile b/libs/standard-tests/Makefile
index a48f80928b993..5283db9a9dc43 100644
--- a/libs/standard-tests/Makefile
+++ b/libs/standard-tests/Makefile
@@ -25,7 +25,7 @@ PYTHON_FILES=.
 MYPY_CACHE=.mypy_cache
 lint format: PYTHON_FILES=.
 lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/standard-tests --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
-lint_package: PYTHON_FILES=langchain_standard_tests
+lint_package: PYTHON_FILES=langchain_tests
 lint_tests: PYTHON_FILES=tests
 lint_tests: MYPY_CACHE=.mypy_cache_test
 
@@ -44,7 +44,7 @@ spell_check:
 spell_fix:
 	poetry run codespell --toml pyproject.toml -w
 
-check_imports: $(shell find langchain_standard_tests -name '*.py')
+check_imports: $(shell find langchain_tests -name '*.py')
 	poetry run python ./scripts/check_imports.py $^
 
 ######################
diff --git a/libs/standard-tests/README.md b/libs/standard-tests/README.md
index 0060203a1e2be..029a9bafb76da 100644
--- a/libs/standard-tests/README.md
+++ b/libs/standard-tests/README.md
@@ -40,7 +40,7 @@ from typing import Type
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.unit_tests import ChatModelUnitTests
+from langchain_tests.unit_tests import ChatModelUnitTests
 
 from langchain_parrot_chain import ChatParrotChain
 
@@ -60,7 +60,7 @@ from typing import Type
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+from langchain_tests.integration_tests import ChatModelIntegrationTests
 
 from langchain_parrot_chain import ChatParrotChain
 
diff --git a/libs/standard-tests/langchain_standard_tests/__init__.py b/libs/standard-tests/langchain_tests/__init__.py
similarity index 100%
rename from libs/standard-tests/langchain_standard_tests/__init__.py
rename to libs/standard-tests/langchain_tests/__init__.py
diff --git a/libs/standard-tests/langchain_standard_tests/base.py b/libs/standard-tests/langchain_tests/base.py
similarity index 96%
rename from libs/standard-tests/langchain_standard_tests/base.py
rename to libs/standard-tests/langchain_tests/base.py
index e9f71802737ba..f2b7ca1f7e92d 100644
--- a/libs/standard-tests/langchain_standard_tests/base.py
+++ b/libs/standard-tests/langchain_tests/base.py
@@ -13,7 +13,7 @@ def test_no_overrides_DO_NOT_OVERRIDE(self) -> None:
         def explore_bases(cls: Type) -> None:
             nonlocal comparison_class
             for base in cls.__bases__:
-                if base.__module__.startswith("langchain_standard_tests."):
+                if base.__module__.startswith("langchain_tests."):
                     if comparison_class is None:
                         comparison_class = base
                     else:
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/__init__.py b/libs/standard-tests/langchain_tests/integration_tests/__init__.py
similarity index 90%
rename from libs/standard-tests/langchain_standard_tests/integration_tests/__init__.py
rename to libs/standard-tests/langchain_tests/integration_tests/__init__.py
index ec26de72a4a7e..67ccb38f29e94 100644
--- a/libs/standard-tests/langchain_standard_tests/integration_tests/__init__.py
+++ b/libs/standard-tests/langchain_tests/integration_tests/__init__.py
@@ -14,9 +14,7 @@
 ]
 
 for module in modules:
-    pytest.register_assert_rewrite(
-        f"langchain_standard_tests.integration_tests.{module}"
-    )
+    pytest.register_assert_rewrite(f"langchain_tests.integration_tests.{module}")
 
 from .base_store import BaseStoreAsyncTests, BaseStoreSyncTests
 from .cache import AsyncCacheTestSuite, SyncCacheTestSuite
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/base_store.py b/libs/standard-tests/langchain_tests/integration_tests/base_store.py
similarity index 99%
rename from libs/standard-tests/langchain_standard_tests/integration_tests/base_store.py
rename to libs/standard-tests/langchain_tests/integration_tests/base_store.py
index e4b461d98227a..cc5fab8bcf7a4 100644
--- a/libs/standard-tests/langchain_standard_tests/integration_tests/base_store.py
+++ b/libs/standard-tests/langchain_tests/integration_tests/base_store.py
@@ -4,7 +4,7 @@
 import pytest
 from langchain_core.stores import BaseStore
 
-from langchain_standard_tests.base import BaseStandardTests
+from langchain_tests.base import BaseStandardTests
 
 V = TypeVar("V")
 
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/cache.py b/libs/standard-tests/langchain_tests/integration_tests/cache.py
similarity index 99%
rename from libs/standard-tests/langchain_standard_tests/integration_tests/cache.py
rename to libs/standard-tests/langchain_tests/integration_tests/cache.py
index 7d1359f5154ec..7087da8ea07b3 100644
--- a/libs/standard-tests/langchain_standard_tests/integration_tests/cache.py
+++ b/libs/standard-tests/langchain_tests/integration_tests/cache.py
@@ -4,7 +4,7 @@
 from langchain_core.caches import BaseCache
 from langchain_core.outputs import Generation
 
-from langchain_standard_tests.base import BaseStandardTests
+from langchain_tests.base import BaseStandardTests
 
 
 class SyncCacheTestSuite(BaseStandardTests):
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/chat_models.py b/libs/standard-tests/langchain_tests/integration_tests/chat_models.py
similarity index 99%
rename from libs/standard-tests/langchain_standard_tests/integration_tests/chat_models.py
rename to libs/standard-tests/langchain_tests/integration_tests/chat_models.py
index 9eea91aebbe44..f0ac13d461443 100644
--- a/libs/standard-tests/langchain_standard_tests/integration_tests/chat_models.py
+++ b/libs/standard-tests/langchain_tests/integration_tests/chat_models.py
@@ -21,11 +21,11 @@
 from pydantic.v1 import BaseModel as BaseModelV1
 from pydantic.v1 import Field as FieldV1
 
-from langchain_standard_tests.unit_tests.chat_models import (
+from langchain_tests.unit_tests.chat_models import (
     ChatModelTests,
     my_adder_tool,
 )
-from langchain_standard_tests.utils.pydantic import PYDANTIC_MAJOR_VERSION
+from langchain_tests.utils.pydantic import PYDANTIC_MAJOR_VERSION
 
 
 class MagicFunctionSchema(BaseModel):
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/embeddings.py b/libs/standard-tests/langchain_tests/integration_tests/embeddings.py
similarity index 96%
rename from libs/standard-tests/langchain_standard_tests/integration_tests/embeddings.py
rename to libs/standard-tests/langchain_tests/integration_tests/embeddings.py
index 1de2aece78023..7e3689d0f5429 100644
--- a/libs/standard-tests/langchain_standard_tests/integration_tests/embeddings.py
+++ b/libs/standard-tests/langchain_tests/integration_tests/embeddings.py
@@ -2,7 +2,7 @@
 
 from langchain_core.embeddings import Embeddings
 
-from langchain_standard_tests.unit_tests.embeddings import EmbeddingsTests
+from langchain_tests.unit_tests.embeddings import EmbeddingsTests
 
 
 class EmbeddingsIntegrationTests(EmbeddingsTests):
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/indexer.py b/libs/standard-tests/langchain_tests/integration_tests/indexer.py
similarity index 100%
rename from libs/standard-tests/langchain_standard_tests/integration_tests/indexer.py
rename to libs/standard-tests/langchain_tests/integration_tests/indexer.py
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/tools.py b/libs/standard-tests/langchain_tests/integration_tests/tools.py
similarity index 97%
rename from libs/standard-tests/langchain_standard_tests/integration_tests/tools.py
rename to libs/standard-tests/langchain_tests/integration_tests/tools.py
index ad854c3b1d41d..2609a87c84521 100644
--- a/libs/standard-tests/langchain_standard_tests/integration_tests/tools.py
+++ b/libs/standard-tests/langchain_tests/integration_tests/tools.py
@@ -1,7 +1,7 @@
 from langchain_core.messages import ToolCall
 from langchain_core.tools import BaseTool
 
-from langchain_standard_tests.unit_tests.tools import ToolsTests
+from langchain_tests.unit_tests.tools import ToolsTests
 
 
 class ToolsIntegrationTests(ToolsTests):
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/vectorstores.py b/libs/standard-tests/langchain_tests/integration_tests/vectorstores.py
similarity index 99%
rename from libs/standard-tests/langchain_standard_tests/integration_tests/vectorstores.py
rename to libs/standard-tests/langchain_tests/integration_tests/vectorstores.py
index d7735cfdd2bcf..08b0358dcfb9e 100644
--- a/libs/standard-tests/langchain_standard_tests/integration_tests/vectorstores.py
+++ b/libs/standard-tests/langchain_tests/integration_tests/vectorstores.py
@@ -7,7 +7,7 @@
 from langchain_core.embeddings.fake import DeterministicFakeEmbedding, Embeddings
 from langchain_core.vectorstores import VectorStore
 
-from langchain_standard_tests.base import BaseStandardTests
+from langchain_tests.base import BaseStandardTests
 
 # Arbitrarily chosen. Using a small embedding size
 # so tests are faster and easier to debug.
diff --git a/libs/standard-tests/langchain_standard_tests/py.typed b/libs/standard-tests/langchain_tests/py.typed
similarity index 100%
rename from libs/standard-tests/langchain_standard_tests/py.typed
rename to libs/standard-tests/langchain_tests/py.typed
diff --git a/libs/standard-tests/langchain_standard_tests/unit_tests/__init__.py b/libs/standard-tests/langchain_tests/unit_tests/__init__.py
similarity index 86%
rename from libs/standard-tests/langchain_standard_tests/unit_tests/__init__.py
rename to libs/standard-tests/langchain_tests/unit_tests/__init__.py
index df94c79ae61cc..ee4a1700edaf1 100644
--- a/libs/standard-tests/langchain_standard_tests/unit_tests/__init__.py
+++ b/libs/standard-tests/langchain_tests/unit_tests/__init__.py
@@ -11,7 +11,7 @@
 ]
 
 for module in modules:
-    pytest.register_assert_rewrite(f"langchain_standard_tests.unit_tests.{module}")
+    pytest.register_assert_rewrite(f"langchain_tests.unit_tests.{module}")
 
 from .chat_models import ChatModelUnitTests
 from .embeddings import EmbeddingsUnitTests
diff --git a/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py b/libs/standard-tests/langchain_tests/unit_tests/chat_models.py
similarity index 98%
rename from libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py
rename to libs/standard-tests/langchain_tests/unit_tests/chat_models.py
index 9bde7fbf3e1a5..f5e5fe54f6e76 100644
--- a/libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py
+++ b/libs/standard-tests/langchain_tests/unit_tests/chat_models.py
@@ -22,8 +22,8 @@
 )
 from syrupy import SnapshotAssertion
 
-from langchain_standard_tests.base import BaseStandardTests
-from langchain_standard_tests.utils.pydantic import PYDANTIC_MAJOR_VERSION
+from langchain_tests.base import BaseStandardTests
+from langchain_tests.utils.pydantic import PYDANTIC_MAJOR_VERSION
 
 
 class Person(BaseModel):  # Used by some dependent tests. Should be deprecated.
diff --git a/libs/standard-tests/langchain_standard_tests/unit_tests/embeddings.py b/libs/standard-tests/langchain_tests/unit_tests/embeddings.py
similarity index 96%
rename from libs/standard-tests/langchain_standard_tests/unit_tests/embeddings.py
rename to libs/standard-tests/langchain_tests/unit_tests/embeddings.py
index 39c6e941c5d7e..da7b78513844b 100644
--- a/libs/standard-tests/langchain_standard_tests/unit_tests/embeddings.py
+++ b/libs/standard-tests/langchain_tests/unit_tests/embeddings.py
@@ -7,7 +7,7 @@
 from langchain_core.embeddings import Embeddings
 from pydantic import SecretStr
 
-from langchain_standard_tests.base import BaseStandardTests
+from langchain_tests.base import BaseStandardTests
 
 
 class EmbeddingsTests(BaseStandardTests):
diff --git a/libs/standard-tests/langchain_standard_tests/unit_tests/tools.py b/libs/standard-tests/langchain_tests/unit_tests/tools.py
similarity index 97%
rename from libs/standard-tests/langchain_standard_tests/unit_tests/tools.py
rename to libs/standard-tests/langchain_tests/unit_tests/tools.py
index 0decc51230fbf..b92cb4f5263a4 100644
--- a/libs/standard-tests/langchain_standard_tests/unit_tests/tools.py
+++ b/libs/standard-tests/langchain_tests/unit_tests/tools.py
@@ -7,7 +7,7 @@
 from langchain_core.tools import BaseTool
 from pydantic import SecretStr
 
-from langchain_standard_tests.base import BaseStandardTests
+from langchain_tests.base import BaseStandardTests
 
 
 class ToolsTests(BaseStandardTests):
diff --git a/libs/standard-tests/langchain_standard_tests/utils/__init__.py b/libs/standard-tests/langchain_tests/utils/__init__.py
similarity index 100%
rename from libs/standard-tests/langchain_standard_tests/utils/__init__.py
rename to libs/standard-tests/langchain_tests/utils/__init__.py
diff --git a/libs/standard-tests/langchain_standard_tests/utils/pydantic.py b/libs/standard-tests/langchain_tests/utils/pydantic.py
similarity index 100%
rename from libs/standard-tests/langchain_standard_tests/utils/pydantic.py
rename to libs/standard-tests/langchain_tests/utils/pydantic.py
diff --git a/libs/standard-tests/pyproject.toml b/libs/standard-tests/pyproject.toml
index 8b1098c000307..238d90b102906 100644
--- a/libs/standard-tests/pyproject.toml
+++ b/libs/standard-tests/pyproject.toml
@@ -4,8 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-tests"
-packages = [{ include = "langchain_standard_tests" }]
-version = "0.3.1"
+version = "0.3.2"
 description = "Standard tests for LangChain implementations"
 authors = ["Erick Friis <erick@langchain.dev>"]
 readme = "README.md"
diff --git a/libs/standard-tests/tests/unit_tests/test_in_memory_base_store.py b/libs/standard-tests/tests/unit_tests/test_in_memory_base_store.py
index 5171c14c16230..35ad6674bc5a1 100644
--- a/libs/standard-tests/tests/unit_tests/test_in_memory_base_store.py
+++ b/libs/standard-tests/tests/unit_tests/test_in_memory_base_store.py
@@ -5,7 +5,7 @@
 import pytest
 from langchain_core.stores import InMemoryStore
 
-from langchain_standard_tests.integration_tests.base_store import (
+from langchain_tests.integration_tests.base_store import (
     BaseStoreAsyncTests,
     BaseStoreSyncTests,
 )
diff --git a/libs/standard-tests/tests/unit_tests/test_in_memory_cache.py b/libs/standard-tests/tests/unit_tests/test_in_memory_cache.py
index 4f67a876490d0..6c1a1647ade05 100644
--- a/libs/standard-tests/tests/unit_tests/test_in_memory_cache.py
+++ b/libs/standard-tests/tests/unit_tests/test_in_memory_cache.py
@@ -1,7 +1,7 @@
 import pytest
 from langchain_core.caches import InMemoryCache
 
-from langchain_standard_tests.integration_tests.cache import (
+from langchain_tests.integration_tests.cache import (
     AsyncCacheTestSuite,
     SyncCacheTestSuite,
 )
diff --git a/libs/standard-tests/tests/unit_tests/test_in_memory_vectorstore.py b/libs/standard-tests/tests/unit_tests/test_in_memory_vectorstore.py
index d1becb40c9eb4..8a3bf5d0a32b2 100644
--- a/libs/standard-tests/tests/unit_tests/test_in_memory_vectorstore.py
+++ b/libs/standard-tests/tests/unit_tests/test_in_memory_vectorstore.py
@@ -4,7 +4,7 @@
     VectorStore,
 )
 
-from langchain_standard_tests.integration_tests.vectorstores import (
+from langchain_tests.integration_tests.vectorstores import (
     AsyncReadWriteTestSuite,
     ReadWriteTestSuite,
 )