diff --git a/.github/scripts/get_min_versions.py b/.github/scripts/get_min_versions.py
index 46e74c9..268fdeb 100644
--- a/.github/scripts/get_min_versions.py
+++ b/.github/scripts/get_min_versions.py
@@ -1,20 +1,30 @@
 import sys
 
-import tomllib
+if sys.version_info >= (3, 11):
+    import tomllib
+else:
+    # for python 3.10 and below, which doesnt have stdlib tomllib
+    import tomli as tomllib
+
 from packaging.version import parse as parse_version
 import re
 
 MIN_VERSION_LIBS = ["langchain-core"]
 
+SKIP_IF_PULL_REQUEST = ["langchain-core"]
+
 
 def get_min_version(version: str) -> str:
+    # base regex for x.x.x with cases for rc/post/etc
+    # valid strings: https://peps.python.org/pep-0440/#public-version-identifiers
+    vstring = r"\d+(?:\.\d+){0,2}(?:(?:a|b|rc|\.post|\.dev)\d+)?"
     # case ^x.x.x
-    _match = re.match(r"^\^(\d+(?:\.\d+){0,2})$", version)
+    _match = re.match(f"^\\^({vstring})$", version)
     if _match:
         return _match.group(1)
 
     # case >=x.x.x,<y.y.y
-    _match = re.match(r"^>=(\d+(?:\.\d+){0,2}),<(\d+(?:\.\d+){0,2})$", version)
+    _match = re.match(f"^>=({vstring}),<({vstring})$", version)
     if _match:
         _min = _match.group(1)
         _max = _match.group(2)
@@ -22,14 +32,14 @@ def get_min_version(version: str) -> str:
         return _min
 
     # case x.x.x
-    _match = re.match(r"^(\d+(?:\.\d+){0,2})$", version)
+    _match = re.match(f"^({vstring})$", version)
     if _match:
         return _match.group(1)
 
     raise ValueError(f"Unrecognized version format: {version}")
 
 
-def get_min_version_from_toml(toml_path: str):
+def get_min_version_from_toml(toml_path: str, versions_for: str):
     # Parse the TOML file
     with open(toml_path, "rb") as file:
         toml_data = tomllib.load(file)
@@ -42,11 +52,18 @@ def get_min_version_from_toml(toml_path: str):
 
     # Iterate over the libs in MIN_VERSION_LIBS
     for lib in MIN_VERSION_LIBS:
+        if versions_for == "pull_request" and lib in SKIP_IF_PULL_REQUEST:
+            # some libs only get checked on release because of simultaneous
+            # changes
+            continue
         # Check if the lib is present in the dependencies
         if lib in dependencies:
             # Get the version string
             version_string = dependencies[lib]
 
+            if isinstance(version_string, dict):
+                version_string = version_string["version"]
+
             # Use parse_version to get the minimum supported version from version_string
             min_version = get_min_version(version_string)
 
@@ -56,10 +73,13 @@ def get_min_version_from_toml(toml_path: str):
     return min_versions
 
 
-# Get the TOML file path from the command line argument
-toml_file = sys.argv[1]
+if __name__ == "__main__":
+    # Get the TOML file path from the command line argument
+    toml_file = sys.argv[1]
+    versions_for = sys.argv[2]
+    assert versions_for in ["release", "pull_request"]
 
-# Call the function to get the minimum versions
-min_versions = get_min_version_from_toml(toml_file)
+    # Call the function to get the minimum versions
+    min_versions = get_min_version_from_toml(toml_file, versions_for)
 
-print(" ".join([f"{lib}=={version}" for lib, version in min_versions.items()]))
+    print(" ".join([f"{lib}=={version}" for lib, version in min_versions.items()]))
diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml
index 56b6f07..480b373 100644
--- a/.github/workflows/_release.yml
+++ b/.github/workflows/_release.yml
@@ -13,6 +13,11 @@ on:
         required: true
         type: string
         default: 'libs/together'
+      dangerous-nonmaster-release:
+        required: false
+        type: boolean
+        default: false
+        description: "Release from a non-master branch (danger!)"
 
 env:
   PYTHON_VERSION: "3.11"
@@ -20,7 +25,7 @@ env:
 
 jobs:
   build:
-    if: github.ref == 'refs/heads/main'
+    if: github.ref == 'refs/heads/main' || inputs.dangerous-nonmaster-release
     runs-on: ubuntu-latest
 
     outputs:
@@ -75,6 +80,7 @@ jobs:
     permissions: write-all
     with:
       working-directory: ${{ inputs.working-directory }}
+      dangerous-nonmaster-release: ${{ inputs.dangerous-nonmaster-release }}
     secrets: inherit
 
   pre-release-checks:
@@ -168,7 +174,7 @@ jobs:
         id: min-version
         run: |
           poetry run pip install packaging
-          min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml)"
+          min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml release)"
           echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
           echo "min-versions=$min_versions"
 
@@ -262,4 +268,4 @@ jobs:
           draft: false
           generateReleaseNotes: true
           tag: ${{ inputs.working-directory }}/v${{ needs.build.outputs.version }}
-          commit: main
+          commit: ${{ github.sha }}
diff --git a/.github/workflows/_test_release.yml b/.github/workflows/_test_release.yml
index f49e505..b470070 100644
--- a/.github/workflows/_test_release.yml
+++ b/.github/workflows/_test_release.yml
@@ -7,6 +7,11 @@ on:
         required: true
         type: string
         description: "From which folder this pipeline executes"
+      dangerous-nonmaster-release:
+        required: false
+        type: boolean
+        default: false
+        description: "Release from a non-master branch (danger!)"
 
 env:
   POETRY_VERSION: "1.7.1"
@@ -14,7 +19,7 @@ env:
 
 jobs:
   build:
-    if: github.ref == 'refs/heads/main'
+    if: github.ref == 'refs/heads/main' || inputs.dangerous-nonmaster-release
     runs-on: ubuntu-latest
 
     outputs:
diff --git a/libs/together/langchain_together/chat_models.py b/libs/together/langchain_together/chat_models.py
index 76d79d8..3284f48 100644
--- a/libs/together/langchain_together/chat_models.py
+++ b/libs/together/langchain_together/chat_models.py
@@ -9,12 +9,10 @@
 
 import openai
 from langchain_core.language_models.chat_models import LangSmithParams
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import (
-    from_env,
-    secret_from_env,
-)
+from langchain_core.utils import from_env, secret_from_env
 from langchain_openai.chat_models.base import BaseChatOpenAI
+from pydantic import ConfigDict, Field, SecretStr, model_validator
+from typing_extensions import Self
 
 
 class ChatTogether(BaseChatOpenAI):
@@ -135,7 +133,7 @@ class ChatTogether(BaseChatOpenAI):
     Tool calling:
         .. code-block:: python
 
-            from langchain_core.pydantic_v1 import BaseModel, Field
+            from pydantic import BaseModel, Field
 
             # Only certain models support tool calling, check the together website to confirm compatibility
             llm = ChatTogether(model="mistralai/Mixtral-8x7B-Instruct-v0.1")
@@ -183,7 +181,7 @@ class GetPopulation(BaseModel):
 
             from typing import Optional
 
-            from langchain_core.pydantic_v1 import BaseModel, Field
+            from pydantic import BaseModel, Field
 
 
             class Joke(BaseModel):
@@ -325,40 +323,39 @@ def _get_ls_params(
         alias="base_url",
     )
 
-    class Config:
-        """Pydantic config."""
-
-        allow_population_by_field_name = True
+    model_config = ConfigDict(
+        populate_by_name=True,
+    )
 
-    @root_validator(pre=False, skip_on_failure=True)
-    def validate_environment(cls, values: Dict) -> Dict:
+    @model_validator(mode="after")
+    def validate_environment(self) -> Self:
         """Validate that api key and python package exists in environment."""
-        if values["n"] < 1:
+        if self.n < 1:
             raise ValueError("n must be at least 1.")
-        if values["n"] > 1 and values["streaming"]:
+        if self.n > 1 and self.streaming:
             raise ValueError("n must be 1 when streaming.")
 
-        client_params = {
+        client_params: dict = {
             "api_key": (
-                values["together_api_key"].get_secret_value()
-                if values["together_api_key"]
+                self.together_api_key.get_secret_value()
+                if self.together_api_key
                 else None
             ),
-            "base_url": values["together_api_base"],
-            "timeout": values["request_timeout"],
-            "max_retries": values["max_retries"],
-            "default_headers": values["default_headers"],
-            "default_query": values["default_query"],
+            "base_url": self.together_api_base,
+            "timeout": self.request_timeout,
+            "max_retries": self.max_retries,
+            "default_headers": self.default_headers,
+            "default_query": self.default_query,
         }
 
-        if not values.get("client"):
-            sync_specific = {"http_client": values["http_client"]}
-            values["client"] = openai.OpenAI(
+        if not (self.client or None):
+            sync_specific: dict = {"http_client": self.http_client}
+            self.client = openai.OpenAI(
                 **client_params, **sync_specific
             ).chat.completions
-        if not values.get("async_client"):
-            async_specific = {"http_client": values["http_async_client"]}
-            values["async_client"] = openai.AsyncOpenAI(
+        if not (self.async_client or None):
+            async_specific: dict = {"http_client": self.http_async_client}
+            self.async_client = openai.AsyncOpenAI(
                 **client_params, **async_specific
             ).chat.completions
-        return values
+        return self
diff --git a/libs/together/langchain_together/embeddings.py b/libs/together/langchain_together/embeddings.py
index 80961b3..a807a7c 100644
--- a/libs/together/langchain_together/embeddings.py
+++ b/libs/together/langchain_together/embeddings.py
@@ -17,17 +17,15 @@
 
 import openai
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import (
+from langchain_core.utils import from_env, get_pydantic_field_names, secret_from_env
+from pydantic import (
     BaseModel,
+    ConfigDict,
     Field,
     SecretStr,
-    root_validator,
-)
-from langchain_core.utils import (
-    from_env,
-    get_pydantic_field_names,
-    secret_from_env,
+    model_validator,
 )
+from typing_extensions import Self
 
 logger = logging.getLogger(__name__)
 
@@ -174,14 +172,15 @@ class TogetherEmbeddings(BaseModel, Embeddings):
     """Optional httpx.AsyncClient. Only used for async invocations. Must specify
         http_client as well if you'd like a custom client for sync invocations."""
 
-    class Config:
-        """Configuration for this pydantic object."""
-
-        extra = "forbid"
-        allow_population_by_field_name = True
+    model_config = ConfigDict(
+        extra="forbid",
+        populate_by_name=True,
+        protected_namespaces=(),
+    )
 
-    @root_validator(pre=True)
-    def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
+    @model_validator(mode="before")
+    @classmethod
+    def build_extra(cls, values: Dict[str, Any]) -> Any:
         """Build extra kwargs from additional params that were passed in."""
         all_required_field_names = get_pydantic_field_names(cls)
         extra = values.get("model_kwargs", {})
@@ -206,38 +205,36 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator(pre=False, skip_on_failure=True)
-    def post_init(cls, values: Dict) -> Dict:
+    @model_validator(mode="after")
+    def post_init(self) -> Self:
         """Logic that will post Pydantic initialization."""
-        client_params = {
+        client_params: dict = {
             "api_key": (
-                values["together_api_key"].get_secret_value()
-                if values["together_api_key"]
+                self.together_api_key.get_secret_value()
+                if self.together_api_key
                 else None
             ),
-            "base_url": values["together_api_base"],
-            "timeout": values["request_timeout"],
-            "max_retries": values["max_retries"],
-            "default_headers": values["default_headers"],
-            "default_query": values["default_query"],
+            "base_url": self.together_api_base,
+            "timeout": self.request_timeout,
+            "max_retries": self.max_retries,
+            "default_headers": self.default_headers,
+            "default_query": self.default_query,
         }
-        if not values.get("client"):
-            sync_specific = (
-                {"http_client": values["http_client"]} if values["http_client"] else {}
+        if not (self.client or None):
+            sync_specific: dict = (
+                {"http_client": self.http_client} if self.http_client else {}
             )
-            values["client"] = openai.OpenAI(
-                **client_params, **sync_specific
-            ).embeddings
-        if not values.get("async_client"):
-            async_specific = (
-                {"http_client": values["http_async_client"]}
-                if values["http_async_client"]
+            self.client = openai.OpenAI(**client_params, **sync_specific).embeddings
+        if not (self.async_client or None):
+            async_specific: dict = (
+                {"http_client": self.http_async_client}
+                if self.http_async_client
                 else {}
             )
-            values["async_client"] = openai.AsyncOpenAI(
+            self.async_client = openai.AsyncOpenAI(
                 **client_params, **async_specific
             ).embeddings
-        return values
+        return self
 
     @property
     def _invocation_params(self) -> Dict[str, Any]:
diff --git a/libs/together/langchain_together/llms.py b/libs/together/langchain_together/llms.py
index 279fbca..da841bc 100644
--- a/libs/together/langchain_together/llms.py
+++ b/libs/together/langchain_together/llms.py
@@ -11,10 +11,8 @@
     CallbackManagerForLLMRun,
 )
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import (
-    secret_from_env,
-)
+from langchain_core.utils import secret_from_env
+from pydantic import ConfigDict, Field, SecretStr, model_validator
 
 logger = logging.getLogger(__name__)
 
@@ -78,14 +76,14 @@ class Together(LLM):
         the response for each token generation step.
     """
 
-    class Config:
-        """Configuration for this pydantic object."""
-
-        extra = "forbid"
-        allow_population_by_field_name = True
+    model_config = ConfigDict(
+        extra="forbid",
+        populate_by_name=True,
+    )
 
-    @root_validator(pre=True)
-    def validate_environment(cls, values: Dict) -> Dict:
+    @model_validator(mode="before")
+    @classmethod
+    def validate_environment(cls, values: Dict) -> Any:
         """Validate that api key exists in environment."""
         if values.get("max_tokens") is None:
             warnings.warn(
diff --git a/libs/together/poetry.lock b/libs/together/poetry.lock
index ea497d8..e16c060 100644
--- a/libs/together/poetry.lock
+++ b/libs/together/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -148,9 +148,6 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
-[package.dependencies]
-typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
-
 [[package]]
 name = "anyio"
 version = "4.4.0"
@@ -205,13 +202,13 @@ tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "certifi"
-version = "2024.7.4"
+version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
-    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
+    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
+    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
 ]
 
 [[package]]
@@ -678,19 +675,19 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.2.36"
+version = "0.3.0"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = ">=3.9,<4.0"
 files = []
 develop = false
 
 [package.dependencies]
 jsonpatch = "^1.33"
-langsmith = "^0.1.75"
+langsmith = "^0.1.117"
 packaging = ">=23.2,<25"
 pydantic = [
-    {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
     {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
 ]
 PyYAML = ">=5.3"
@@ -701,20 +698,20 @@ typing-extensions = ">=4.7"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "e7c856c2980ad9ff9aeeb1185f4e6073ef7bb934"
+resolved_reference = "900115a568ef41ca5acd645e109a9aa42d868b61"
 subdirectory = "libs/core"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.23"
+version = "0.2.0"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = ">=3.9,<4.0"
 files = []
 develop = false
 
 [package.dependencies]
-langchain-core = "^0.2.35"
+langchain-core = "^0.3"
 openai = "^1.40.0"
 tiktoken = ">=0.7,<1"
 
@@ -722,7 +719,7 @@ tiktoken = ">=0.7,<1"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "e7c856c2980ad9ff9aeeb1185f4e6073ef7bb934"
+resolved_reference = "900115a568ef41ca5acd645e109a9aa42d868b61"
 subdirectory = "libs/partners/openai"
 
 [[package]]
@@ -730,31 +727,32 @@ name = "langchain-standard-tests"
 version = "0.1.1"
 description = "Standard tests for LangChain implementations"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = ">=3.9,<4.0"
 files = []
 develop = false
 
 [package.dependencies]
 httpx = "^0.27.0"
-langchain-core = ">=0.1.40,<0.3"
+langchain-core = ">=0.3.0.dev1"
 pytest = ">=7,<9"
+syrupy = "^4"
 
 [package.source]
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "e7c856c2980ad9ff9aeeb1185f4e6073ef7bb934"
+resolved_reference = "900115a568ef41ca5acd645e109a9aa42d868b61"
 subdirectory = "libs/standard-tests"
 
 [[package]]
 name = "langsmith"
-version = "0.1.107"
+version = "0.1.120"
 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-0.1.107-py3-none-any.whl", hash = "sha256:ddd0c846980474e271a553e9c220122e32d1f2ce877cc87d39ecd86726b9e78c"},
-    {file = "langsmith-0.1.107.tar.gz", hash = "sha256:f44de0a5f199381d0b518ecbe295d541c44ff33d13f18098ecc54a4547eccb3f"},
+    {file = "langsmith-0.1.120-py3-none-any.whl", hash = "sha256:54d2785e301646c0988e0a69ebe4d976488c87b41928b358cb153b6ddd8db62b"},
+    {file = "langsmith-0.1.120.tar.gz", hash = "sha256:25499ca187b41bd89d784b272b97a8d76f60e0e21bdf20336e8a2aa6a9b23ac9"},
 ]
 
 [package.dependencies]
@@ -803,103 +801,108 @@ files = [
 
 [[package]]
 name = "multidict"
-version = "6.0.5"
+version = "6.1.0"
 description = "multidict implementation"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9"},
-    {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604"},
-    {file = "multidict-6.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600"},
-    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c"},
-    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5"},
-    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f"},
-    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae"},
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 [package.extras]
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+    {file = "yarl-1.11.1.tar.gz", hash = "sha256:1bb2d9e212fb7449b8fb73bc461b51eaa17cc8430b4a87d87be7b25052d92f53"},
 ]
 
 [package.dependencies]
@@ -1939,5 +1917,5 @@ multidict = ">=4.0"
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.8.1,<4.0"
-content-hash = "99793655b7af7b63e48cc146e3a628648a8d4e9348a1f4483bcd74bb92c45fd7"
+python-versions = ">=3.9,<4.0"
+content-hash = "aaf10fea687c3873d90ea0a00c5c5500f24a1ce88fb7665b310fb1a6e90bfd85"
diff --git a/libs/together/pyproject.toml b/libs/together/pyproject.toml
index 57d4de5..f141b27 100644
--- a/libs/together/pyproject.toml
+++ b/libs/together/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-together"
-version = "0.1.6"
+version = "0.2.0"
 description = "An integration package connecting Together AI and LangChain"
 authors = []
 readme = "README.md"
@@ -19,9 +19,9 @@ disallow_untyped_defs = "True"
 "Release Notes" = "https://github.com/langchain-ai/langchain-together/releases"
 
 [tool.poetry.dependencies]
-python = ">=3.8.1,<4.0"
-langchain-core = "^0.2.35"
-langchain-openai = "^0.1.16"
+python = ">=3.9,<4.0"
+langchain-openai = "^0.2"
+langchain-core = "^0.3"
 requests = "^2"
 aiohttp = "^3.9.1"
 
diff --git a/libs/together/scripts/check_pydantic.sh b/libs/together/scripts/check_pydantic.sh
deleted file mode 100755
index 06b5bb8..0000000
--- a/libs/together/scripts/check_pydantic.sh
+++ /dev/null
@@ -1,27 +0,0 @@
-#!/bin/bash
-#
-# This script searches for lines starting with "import pydantic" or "from pydantic"
-# in tracked files within a Git repository.
-#
-# Usage: ./scripts/check_pydantic.sh /path/to/repository
-
-# Check if a path argument is provided
-if [ $# -ne 1 ]; then
-  echo "Usage: $0 /path/to/repository"
-  exit 1
-fi
-
-repository_path="$1"
-
-# Search for lines matching the pattern within the specified repository
-result=$(git -C "$repository_path" grep -E '^import pydantic|^from pydantic')
-
-# Check if any matching lines were found
-if [ -n "$result" ]; then
-  echo "ERROR: The following lines need to be updated:"
-  echo "$result"
-  echo "Please replace the code with an import from langchain_core.pydantic_v1."
-  echo "For example, replace 'from pydantic import BaseModel'"
-  echo "with 'from langchain_core.pydantic_v1 import BaseModel'"
-  exit 1
-fi
diff --git a/libs/together/tests/unit_tests/test_chat_models_standard.py b/libs/together/tests/unit_tests/test_chat_models_standard.py
index 688752c..233f812 100644
--- a/libs/together/tests/unit_tests/test_chat_models_standard.py
+++ b/libs/together/tests/unit_tests/test_chat_models_standard.py
@@ -1,6 +1,6 @@
 """Standard LangChain interface tests"""
 
-from typing import Type
+from typing import Tuple, Type
 
 from langchain_core.language_models import BaseChatModel
 from langchain_standard_tests.unit_tests import (  # type: ignore[import-not-found]
@@ -18,3 +18,17 @@ def chat_model_class(self) -> Type[BaseChatModel]:
     @property
     def chat_model_params(self) -> dict:
         return {"model": "meta-llama/Llama-3-8b-chat-hf"}
+
+    @property
+    def init_from_env_params(self) -> Tuple[dict, dict, dict]:
+        return (
+            {
+                "TOGETHER_API_KEY": "api_key",
+                "TOGETHER_API_BASE": "https://base.com",
+            },
+            {},
+            {
+                "together_api_key": "api_key",
+                "together_api_base": "https://base.com",
+            },
+        )
diff --git a/libs/together/tests/unit_tests/test_embeddings_standard.py b/libs/together/tests/unit_tests/test_embeddings_standard.py
new file mode 100644
index 0000000..3c3a1bd
--- /dev/null
+++ b/libs/together/tests/unit_tests/test_embeddings_standard.py
@@ -0,0 +1,32 @@
+"""Standard LangChain interface tests"""
+
+from typing import Tuple, Type
+
+from langchain_core.embeddings import Embeddings
+from langchain_standard_tests.unit_tests.embeddings import EmbeddingsUnitTests
+
+from langchain_together import TogetherEmbeddings
+
+
+class TestTogetherStandard(EmbeddingsUnitTests):
+    @property
+    def embeddings_class(self) -> Type[Embeddings]:
+        return TogetherEmbeddings
+
+    @property
+    def embeddings_params(self) -> dict:
+        return {"model": "meta-llama/Llama-3-8b-chat-hf"}
+
+    @property
+    def init_from_env_params(self) -> Tuple[dict, dict, dict]:
+        return (
+            {
+                "TOGETHER_API_KEY": "api_key",
+                "TOGETHER_API_BASE": "https://base.com",
+            },
+            {},
+            {
+                "together_api_key": "api_key",
+                "together_api_base": "https://base.com",
+            },
+        )
diff --git a/libs/together/tests/unit_tests/test_llms.py b/libs/together/tests/unit_tests/test_llms.py
index 60c869e..2566226 100644
--- a/libs/together/tests/unit_tests/test_llms.py
+++ b/libs/together/tests/unit_tests/test_llms.py
@@ -1,6 +1,6 @@
 from typing import cast
 
-from langchain_core.pydantic_v1 import SecretStr
+from pydantic import SecretStr
 from pytest import CaptureFixture, MonkeyPatch  # type: ignore[import-not-found]
 
 from langchain_together import Together