Merge branch 'master' into wip-v0.4

libs/core/uv.lock

@@ -1170,7 +1170,7 @@ requires-dist = [
 
 [package.metadata.requires-dev]
 codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
-lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
+lint = [{ name = "ruff", specifier = ">=0.12.8,<0.13" }]
 test = [{ name = "langchain-core", editable = "." }]
 test-integration = []
 typing = [
@@ -1184,10 +1184,14 @@ version = "0.3.9"
 source = { directory = "../text-splitters" }
 dependencies = [
     { name = "langchain-core" },
+    { name = "pip" },
 ]
 
 [package.metadata]
-requires-dist = [{ name = "langchain-core", editable = "." }]
+requires-dist = [
+    { name = "langchain-core", editable = "." },
+    { name = "pip", specifier = ">=25.2" },
+]
 
 [package.metadata.requires-dev]
 dev = [
@@ -1196,7 +1200,7 @@ dev = [
 ]
 lint = [
     { name = "langchain-core", editable = "." },
-    { name = "ruff", specifier = ">=0.12.2,<0.13" },
+    { name = "ruff", specifier = ">=0.12.8,<0.13" },
 ]
 test = [
     { name = "freezegun", specifier = ">=1.2.2,<2.0.0" },
@@ -1213,6 +1217,7 @@ test-integration = [
     { name = "sentence-transformers", specifier = ">=3.0.1" },
     { name = "spacy", specifier = ">=3.8.7,<4.0.0" },
     { name = "thinc", specifier = ">=8.3.6,<9.0.0" },
+    { name = "tiktoken", specifier = ">=0.8.0,<1.0.0" },
     { name = "transformers", specifier = ">=4.51.3,<5.0.0" },
 ]
 typing = [
@@ -1993,6 +1998,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/9e/c3/059298687310d527a58bb01f3b1965787ee3b40dce76752eda8b44e9a2c5/pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523", size = 63772, upload-time = "2023-11-25T06:56:14.81Z" },
 ]
 
+[[package]]
+name = "pip"
+version = "25.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/16/650289cd3f43d5a2fadfd98c68bd1e1e7f2550a1a5326768cddfbcedb2c5/pip-25.2.tar.gz", hash = "sha256:578283f006390f85bb6282dffb876454593d637f5d1be494b5202ce4877e71f2", size = 1840021, upload-time = "2025-07-30T21:50:15.401Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl", hash = "sha256:6d67a2b4e7f14d8b31b8b52648866fa717f45a1eb70e83002f4331d07e953717", size = 1752557, upload-time = "2025-07-30T21:50:13.323Z" },
+]
+
 [[package]]
 name = "platformdirs"
 version = "4.3.8"

libs/langchain/langchain/evaluation/embedding_distance/base.py

@@ -201,15 +201,41 @@ class _EmbeddingDistanceChainMixin(Chain):
             np.ndarray: The cosine distance.
         """
         try:
-            from langchain_community.utils.math import cosine_similarity
+            from langchain_core.vectorstores.utils import _cosine_similarity
-        except ImportError as e:
+
-            msg = (
+            return 1.0 - _cosine_similarity(a, b)
-                "The cosine_similarity function is required to compute cosine distance."
+        except ImportError:
-                " Please install the langchain-community package using"
+            # Fallback to scipy if available
-                " `pip install langchain-community`."
+            try:
-            )
+                from scipy.spatial.distance import cosine
-            raise ImportError(msg) from e
+
-        return 1.0 - cosine_similarity(a, b)
+                return cosine(a.flatten(), b.flatten())
+            except ImportError:
+                # Pure numpy fallback
+                if _check_numpy():
+                    np = _import_numpy()
+                    a_flat = a.flatten()
+                    b_flat = b.flatten()
+                    dot_product = np.dot(a_flat, b_flat)
+                    norm_a = np.linalg.norm(a_flat)
+                    norm_b = np.linalg.norm(b_flat)
+                    if norm_a == 0 or norm_b == 0:
+                        return 0.0
+                    return 1.0 - (dot_product / (norm_a * norm_b))
+                # Pure Python implementation
+                a_flat = a if hasattr(a, "__len__") else [a]
+                b_flat = b if hasattr(b, "__len__") else [b]
+                if hasattr(a, "flatten"):
+                    a_flat = a.flatten()
+                if hasattr(b, "flatten"):
+                    b_flat = b.flatten()
+
+                dot_product = sum(x * y for x, y in zip(a_flat, b_flat))
+                norm_a = sum(x * x for x in a_flat) ** 0.5
+                norm_b = sum(x * x for x in b_flat) ** 0.5
+                if norm_a == 0 or norm_b == 0:
+                    return 0.0
+                return 1.0 - (dot_product / (norm_a * norm_b))
 
     @staticmethod
     def _euclidean_distance(a: Any, b: Any) -> Any:
@@ -222,12 +248,17 @@ class _EmbeddingDistanceChainMixin(Chain):
         Returns:
             np.floating: The Euclidean distance.
         """
-        if _check_numpy():
+        try:
-            import numpy as np
+            from scipy.spatial.distance import euclidean
 
-            return np.linalg.norm(a - b)
+            return euclidean(a.flatten(), b.flatten())
+        except ImportError:
+            if _check_numpy():
+                import numpy as np
 
-        return sum((x - y) * (x - y) for x, y in zip(a, b)) ** 0.5
+                return np.linalg.norm(a - b)
+
+            return sum((x - y) * (x - y) for x, y in zip(a, b)) ** 0.5
 
     @staticmethod
     def _manhattan_distance(a: Any, b: Any) -> Any:
@@ -240,11 +271,16 @@ class _EmbeddingDistanceChainMixin(Chain):
         Returns:
             np.floating: The Manhattan distance.
         """
-        if _check_numpy():
+        try:
-            np = _import_numpy()
+            from scipy.spatial.distance import cityblock
-            return np.sum(np.abs(a - b))
 
-        return sum(abs(x - y) for x, y in zip(a, b))
+            return cityblock(a.flatten(), b.flatten())
+        except ImportError:
+            if _check_numpy():
+                np = _import_numpy()
+                return np.sum(np.abs(a - b))
+
+            return sum(abs(x - y) for x, y in zip(a, b))
 
     @staticmethod
     def _chebyshev_distance(a: Any, b: Any) -> Any:
@@ -257,11 +293,16 @@ class _EmbeddingDistanceChainMixin(Chain):
         Returns:
             np.floating: The Chebyshev distance.
         """
-        if _check_numpy():
+        try:
-            np = _import_numpy()
+            from scipy.spatial.distance import chebyshev
-            return np.max(np.abs(a - b))
 
-        return max(abs(x - y) for x, y in zip(a, b))
+            return chebyshev(a.flatten(), b.flatten())
+        except ImportError:
+            if _check_numpy():
+                np = _import_numpy()
+                return np.max(np.abs(a - b))
+
+            return max(abs(x - y) for x, y in zip(a, b))
 
     @staticmethod
     def _hamming_distance(a: Any, b: Any) -> Any:
@@ -274,11 +315,16 @@ class _EmbeddingDistanceChainMixin(Chain):
         Returns:
             np.floating: The Hamming distance.
         """
-        if _check_numpy():
+        try:
-            np = _import_numpy()
+            from scipy.spatial.distance import hamming
-            return np.mean(a != b)
 
-        return sum(1 for x, y in zip(a, b) if x != y) / len(a)
+            return hamming(a.flatten(), b.flatten())
+        except ImportError:
+            if _check_numpy():
+                np = _import_numpy()
+                return np.mean(a != b)
+
+            return sum(1 for x, y in zip(a, b) if x != y) / len(a)
 
     def _compute_score(self, vectors: Any) -> float:
         """Compute the score based on the distance metric.

libs/langchain/uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.9, <4.0"
 resolution-markers = [
     "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'",
@@ -2241,7 +2241,7 @@ test = [
 test-integration = []
 typing = [
     { name = "langchain-text-splitters", directory = "../text-splitters" },
-    { name = "mypy", specifier = ">=1.15,<1.16" },
+    { name = "mypy", specifier = ">=1.17.1,<1.18" },
     { name = "types-pyyaml", specifier = ">=6.0.12.2,<7.0.0.0" },
     { name = "types-requests", specifier = ">=2.28.11.5,<3.0.0.0" },
 ]
@@ -2445,7 +2445,7 @@ requires-dist = [
 
 [package.metadata.requires-dev]
 codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
-lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
+lint = [{ name = "ruff", specifier = ">=0.12.8,<0.13" }]
 test = [{ name = "langchain-core", editable = "../core" }]
 test-integration = []
 typing = [
@@ -2459,10 +2459,14 @@ version = "0.3.9"
 source = { editable = "../text-splitters" }
 dependencies = [
     { name = "langchain-core" },
+    { name = "pip" },
 ]
 
 [package.metadata]
-requires-dist = [{ name = "langchain-core", editable = "../core" }]
+requires-dist = [
+    { name = "langchain-core", editable = "../core" },
+    { name = "pip", specifier = ">=25.2" },
+]
 
 [package.metadata.requires-dev]
 dev = [
@@ -2471,7 +2475,7 @@ dev = [
 ]
 lint = [
     { name = "langchain-core", editable = "../core" },
-    { name = "ruff", specifier = ">=0.12.2,<0.13" },
+    { name = "ruff", specifier = ">=0.12.8,<0.13" },
 ]
 test = [
     { name = "freezegun", specifier = ">=1.2.2,<2.0.0" },
@@ -2488,6 +2492,7 @@ test-integration = [
     { name = "sentence-transformers", specifier = ">=3.0.1" },
     { name = "spacy", specifier = ">=3.8.7,<4.0.0" },
     { name = "thinc", specifier = ">=8.3.6,<9.0.0" },
+    { name = "tiktoken", specifier = ">=0.8.0,<1.0.0" },
     { name = "transformers", specifier = ">=4.51.3,<5.0.0" },
 ]
 typing = [
@@ -3333,6 +3338,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/41/67/936f9814bdd74b2dfd4822f1f7725ab5d8ff4103919a1664eb4874c58b2f/pillow-11.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4637b88343166249fe8aa94e7c4a62a180c4b3898283bb5d3d2fd5fe10d8e4e0", size = 2626353, upload-time = "2025-01-02T08:13:52.725Z" },
 ]
 
+[[package]]
+name = "pip"
+version = "25.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/16/650289cd3f43d5a2fadfd98c68bd1e1e7f2550a1a5326768cddfbcedb2c5/pip-25.2.tar.gz", hash = "sha256:578283f006390f85bb6282dffb876454593d637f5d1be494b5202ce4877e71f2", size = 1840021, upload-time = "2025-07-30T21:50:15.401Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl", hash = "sha256:6d67a2b4e7f14d8b31b8b52648866fa717f45a1eb70e83002f4331d07e953717", size = 1752557, upload-time = "2025-07-30T21:50:13.323Z" },
+]
+
 [[package]]
 name = "platformdirs"
 version = "4.3.6"

libs/partners/anthropic/pyproject.toml

@@ -105,6 +105,8 @@ ignore = [
     "D105",    # pydocstyle: Missing docstring in magic method
     "D107",    # pydocstyle: Missing docstring in __init__
     "D407",    # pydocstyle: Missing-dashed-underline-after-section
+    "D203",
+    "D213",
     "D214",    # Section over-indented, doesn't play well with reStructuredText
     "COM812",  # Messes with the formatter
     "ISC001",  # Messes with the formatter

libs/partners/anthropic/uv.lock

@@ -598,7 +598,7 @@ requires-dist = [
 
 [package.metadata.requires-dev]
 codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
-lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
+lint = [{ name = "ruff", specifier = ">=0.12.8,<0.13" }]
 test = [{ name = "langchain-core", editable = "../../core" }]
 test-integration = []
 typing = [

libs/partners/fireworks/pyproject.toml

@@ -95,6 +95,8 @@ ignore = [
     "D104",    # Missing docstring in public package
     "D105",    # Missing docstring in magic method
     "D107",    # Missing docstring in __init__
+    "D203",
+    "D213",
     "COM812",  # Messes with the formatter
     "ISC001",  # Messes with the formatter
     "PERF203", # Rarely useful

libs/partners/groq/pyproject.toml

@@ -88,6 +88,8 @@ ignore = [
     "D104",    # Missing docstring in public package
     "D105",    # Missing docstring in magic method
     "D107",    # Missing docstring in __init__
+    "D203",
+    "D213",
     "COM812",  # Messes with the formatter
     "ISC001",  # Messes with the formatter
     "PERF203", # Rarely useful

libs/partners/groq/uv.lock

@@ -485,7 +485,7 @@ requires-dist = [
 
 [package.metadata.requires-dev]
 codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
-lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
+lint = [{ name = "ruff", specifier = ">=0.12.8,<0.13" }]
 test = [{ name = "langchain-core", editable = "../../core" }]
 test-integration = []
 typing = [

libs/partners/huggingface/pyproject.toml

@@ -102,6 +102,8 @@ ignore = [
     "D104",    # pydocstyle: Missing docstring in public package
     "D105",    # pydocstyle: Missing docstring in magic method
     "D107",    # pydocstyle: Missing docstring in __init__
+    "D203",
+    "D213",
     "D407",    # pydocstyle: Missing-dashed-underline-after-section
     "COM812",  # Messes with the formatter
     "ISC001",  # Messes with the formatter

libs/partners/ollama/Makefile

@@ -8,10 +8,14 @@ UV_FROZEN = true
 
 # Define a variable for the test file path.
 TEST_FILE ?= tests/unit_tests/
-integration_test: TEST_FILE = tests/integration_tests/
+integration_test integration_tests: TEST_FILE = tests/integration_tests/
 # note: leaving out integration_tests (with s) command to skip release testing for now
 # TODO(erick) configure ollama server to run in CI, in separate repo
 
+# Define variables for test model configuration
+OLLAMA_TEST_MODEL ?= llama3.1
+OLLAMA_REASONING_TEST_MODEL ?= deepseek-r1:1.5b
+
 
 # unit tests are run with the --disable-socket flag to prevent network calls
 test tests:
@@ -22,10 +26,9 @@ test_watch:
 
 
 # integration tests are run without the --disable-socket flag to allow network calls
-integration_test:
+integration_test integration_tests:
-	uv run --group test --group test_integration pytest $(TEST_FILE)
+	OLLAMA_TEST_MODEL=$(OLLAMA_TEST_MODEL) OLLAMA_REASONING_TEST_MODEL=$(OLLAMA_REASONING_TEST_MODEL) uv run --group test --group test_integration pytest $(TEST_FILE)
 # note: leaving out integration_tests (with s) command to skip release testing for now
-# TODO(erick) configure ollama server to run in CI, in separate repo
 
 ######################
 # LINTING AND FORMATTING
@@ -70,3 +73,6 @@ help:
 	@echo 'test                         - run unit tests'
 	@echo 'tests                        - run unit tests'
 	@echo 'test TEST_FILE=<test_file>   - run all tests in file'
+	@echo 'integration_test             - run integration tests'
+	@echo 'integration_test OLLAMA_TEST_MODEL=<model> - run integration tests with specific model'
+	@echo '  Example: make integration_test OLLAMA_TEST_MODEL=llama3.1'

libs/partners/ollama/langchain_ollama/chat_models.py

@@ -145,10 +145,14 @@ def _parse_arguments_from_tool_call(
     """
     if "function" not in raw_tool_call:
         return None
+    function_name = raw_tool_call["function"]["name"]
     arguments = raw_tool_call["function"]["arguments"]
     parsed_arguments: dict = {}
     if isinstance(arguments, dict):
         for key, value in arguments.items():
+            # Filter out metadata fields like 'functionName' that echo function name
+            if key == "functionName" and value == function_name:
+                continue
             if isinstance(value, str):
                 parsed_value = _parse_json_string(
                     value, skip=True, raw_tool_call=raw_tool_call

libs/partners/ollama/tests/integration_tests/test_embeddings.py

@@ -1,10 +1,12 @@
 """Test Ollama embeddings."""
 
+import os
+
 from langchain_tests.integration_tests import EmbeddingsIntegrationTests
 
 from langchain_ollama.embeddings import OllamaEmbeddings
 
-MODEL_NAME = "llama3.1"
+MODEL_NAME = os.environ.get("OLLAMA_TEST_MODEL", "llama3.1")
 
 
 class TestOllamaEmbeddings(EmbeddingsIntegrationTests):

libs/partners/ollama/tests/integration_tests/test_llms.py

@@ -1,13 +1,15 @@
 """Test OllamaLLM llm."""
 
+import os
+
 import pytest
 from langchain_core.outputs import GenerationChunk
 from langchain_core.runnables import RunnableConfig
 
 from langchain_ollama.llms import OllamaLLM
 
-MODEL_NAME = "llama3.1"
+MODEL_NAME = os.environ.get("OLLAMA_TEST_MODEL", "llama3.1")
-REASONING_MODEL_NAME = "deepseek-r1:1.5b"
+REASONING_MODEL_NAME = os.environ.get("OLLAMA_REASONING_TEST_MODEL", "deepseek-r1:1.5b")
 SAMPLE = "What is 3^3?"
 
 

libs/partners/ollama/tests/unit_tests/test_chat_models.py

@@ -50,6 +50,41 @@ def test__parse_arguments_from_tool_call() -> None:
     assert isinstance(response["arg_1"], str)
 
 
+def test__parse_arguments_from_tool_call_with_function_name_metadata() -> None:
+    """Test that functionName metadata is filtered out from tool arguments.
+
+    Some models may include metadata like ``functionName`` in the arguments
+    that just echoes the function name. This should be filtered out for
+    no-argument tools to return an empty dictionary.
+    """
+    # Test case where arguments contain functionName metadata
+    raw_tool_call_with_metadata = {
+        "function": {
+            "name": "magic_function_no_args",
+            "arguments": {"functionName": "magic_function_no_args"},
+        }
+    }
+    response = _parse_arguments_from_tool_call(raw_tool_call_with_metadata)
+    assert response == {}
+
+    # Test case where arguments contain both real args and metadata
+    raw_tool_call_mixed = {
+        "function": {
+            "name": "some_function",
+            "arguments": {"functionName": "some_function", "real_arg": "value"},
+        }
+    }
+    response_mixed = _parse_arguments_from_tool_call(raw_tool_call_mixed)
+    assert response_mixed == {"real_arg": "value"}
+
+    # Test case where functionName has different value (should be preserved)
+    raw_tool_call_different = {
+        "function": {"name": "function_a", "arguments": {"functionName": "function_b"}}
+    }
+    response_different = _parse_arguments_from_tool_call(raw_tool_call_different)
+    assert response_different == {"functionName": "function_b"}
+
+
 @contextmanager
 def _mock_httpx_client_stream(
     *args: Any, **kwargs: Any

libs/partners/ollama/uv.lock

@@ -356,7 +356,7 @@ test = [
 test-integration = []
 typing = [
     { name = "langchain-text-splitters", directory = "../../text-splitters" },
-    { name = "mypy", specifier = ">=1.15,<1.16" },
+    { name = "mypy", specifier = ">=1.17.1,<1.18" },
     { name = "types-pyyaml", specifier = ">=6.0.12.2,<7.0.0.0" },
     { name = "types-requests", specifier = ">=2.28.11.5,<3.0.0.0" },
 ]
@@ -456,7 +456,7 @@ requires-dist = [
 
 [package.metadata.requires-dev]
 codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
-lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
+lint = [{ name = "ruff", specifier = ">=0.12.8,<0.13" }]
 test = [{ name = "langchain-core", editable = "../../core" }]
 test-integration = []
 typing = [

libs/partners/openai/pyproject.toml

@@ -73,6 +73,9 @@ ignore = [ "UP007", "UP045" ]
 docstring-code-format = true
 skip-magic-trailing-comma = true
 
+[tool.ruff.lint.isort]
+split-on-trailing-comma = false
+
 [tool.coverage.run]
 omit = ["tests/*"]
 

libs/partners/openai/uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.9"
 resolution-markers = [
     "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'",
@@ -588,7 +588,7 @@ typing = [
 [package.metadata]
 requires-dist = [
     { name = "langchain-core", editable = "../../core" },
-    { name = "openai", specifier = ">=1.99.3,<2.0.0" },
+    { name = "openai", specifier = ">=1.86.0,<2.0.0" },
     { name = "tiktoken", specifier = ">=0.7,<1" },
 ]
 
@@ -662,7 +662,7 @@ requires-dist = [
 
 [package.metadata.requires-dev]
 codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
-lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
+lint = [{ name = "ruff", specifier = ">=0.12.8,<0.13" }]
 test = [{ name = "langchain-core", editable = "../../core" }]
 test-integration = []
 typing = [

uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.9"
 resolution-markers = [
     "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'",
@@ -2259,15 +2259,11 @@ dependencies = [
 requires-dist = [
     { name = "async-timeout", marker = "python_full_version < '3.11'", specifier = ">=4.0.0,<5.0.0" },
     { name = "langchain-anthropic", marker = "extra == 'anthropic'" },
-    { name = "langchain-aws", marker = "extra == 'aws'" },
-    { name = "langchain-azure-ai", marker = "extra == 'azure-ai'" },
-    { name = "langchain-cohere", marker = "extra == 'cohere'" },
     { name = "langchain-community", marker = "extra == 'community'" },
     { name = "langchain-core", editable = "libs/core" },
     { name = "langchain-deepseek", marker = "extra == 'deepseek'" },
     { name = "langchain-fireworks", marker = "extra == 'fireworks'" },
     { name = "langchain-google-genai", marker = "extra == 'google-genai'" },
-    { name = "langchain-google-vertexai", marker = "extra == 'google-vertexai'" },
     { name = "langchain-groq", marker = "extra == 'groq'" },
     { name = "langchain-huggingface", marker = "extra == 'huggingface'" },
     { name = "langchain-mistralai", marker = "extra == 'mistralai'" },
@@ -2276,14 +2272,13 @@ requires-dist = [
     { name = "langchain-perplexity", marker = "extra == 'perplexity'" },
     { name = "langchain-text-splitters", editable = "libs/text-splitters" },
     { name = "langchain-together", marker = "extra == 'together'" },
-    { name = "langchain-xai", marker = "extra == 'xai'" },
     { name = "langsmith", specifier = ">=0.1.17" },
     { name = "pydantic", specifier = ">=2.7.4,<3.0.0" },
     { name = "pyyaml", specifier = ">=5.3" },
     { name = "requests", specifier = ">=2,<3" },
     { name = "sqlalchemy", specifier = ">=1.4,<3" },
 ]
-provides-extras = ["community", "anthropic", "openai", "azure-ai", "cohere", "google-vertexai", "google-genai", "fireworks", "ollama", "together", "mistralai", "huggingface", "groq", "aws", "deepseek", "xai", "perplexity"]
+provides-extras = ["community", "anthropic", "openai", "google-genai", "fireworks", "ollama", "together", "mistralai", "huggingface", "groq", "deepseek", "perplexity"]
 
 [package.metadata.requires-dev]
 codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
@@ -2483,7 +2478,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.72"
+version = "0.3.74"
 source = { editable = "libs/core" }
 dependencies = [
     { name = "jsonpatch" },
@@ -2534,7 +2529,7 @@ test = [
 test-integration = []
 typing = [
     { name = "langchain-text-splitters", directory = "libs/text-splitters" },
-    { name = "mypy", specifier = ">=1.15,<1.16" },
+    { name = "mypy", specifier = ">=1.17.1,<1.18" },
     { name = "types-pyyaml", specifier = ">=6.0.12.2,<7.0.0.0" },
     { name = "types-requests", specifier = ">=2.28.11.5,<3.0.0.0" },
 ]
@@ -2618,7 +2613,7 @@ dependencies = [
 
 [[package]]
 name = "langchain-groq"
-version = "0.3.6"
+version = "0.3.7"
 source = { editable = "libs/partners/groq" }
 dependencies = [
     { name = "groq" },
@@ -2627,7 +2622,7 @@ dependencies = [
 
 [package.metadata]
 requires-dist = [
-    { name = "groq", specifier = ">=0.29.0,<1" },
+    { name = "groq", specifier = ">=0.30.0,<1" },
     { name = "langchain-core", editable = "libs/core" },
 ]
 
@@ -2819,7 +2814,7 @@ typing = []
 
 [[package]]
 name = "langchain-openai"
-version = "0.3.28"
+version = "0.3.29"
 source = { editable = "libs/partners/openai" }
 dependencies = [
     { name = "langchain-core" },
@@ -2889,10 +2884,14 @@ version = "0.3.9"
 source = { editable = "libs/text-splitters" }
 dependencies = [
     { name = "langchain-core" },
+    { name = "pip" },
 ]
 
 [package.metadata]
-requires-dist = [{ name = "langchain-core", editable = "libs/core" }]
+requires-dist = [
+    { name = "langchain-core", editable = "libs/core" },
+    { name = "pip", specifier = ">=25.2" },
+]
 
 [package.metadata.requires-dev]
 dev = [
@@ -2901,7 +2900,7 @@ dev = [
 ]
 lint = [
     { name = "langchain-core", editable = "libs/core" },
-    { name = "ruff", specifier = ">=0.12.2,<0.13" },
+    { name = "ruff", specifier = ">=0.12.8,<0.13" },
 ]
 test = [
     { name = "freezegun", specifier = ">=1.2.2,<2.0.0" },
@@ -2918,6 +2917,7 @@ test-integration = [
     { name = "sentence-transformers", specifier = ">=3.0.1" },
     { name = "spacy", specifier = ">=3.8.7,<4.0.0" },
     { name = "thinc", specifier = ">=8.3.6,<9.0.0" },
+    { name = "tiktoken", specifier = ">=0.8.0,<1.0.0" },
     { name = "transformers", specifier = ">=4.51.3,<5.0.0" },
 ]
 typing = [
@@ -4438,6 +4438,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/41/67/936f9814bdd74b2dfd4822f1f7725ab5d8ff4103919a1664eb4874c58b2f/pillow-11.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4637b88343166249fe8aa94e7c4a62a180c4b3898283bb5d3d2fd5fe10d8e4e0", size = 2626353, upload-time = "2025-01-02T08:13:52.725Z" },
 ]
 
+[[package]]
+name = "pip"
+version = "25.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/16/650289cd3f43d5a2fadfd98c68bd1e1e7f2550a1a5326768cddfbcedb2c5/pip-25.2.tar.gz", hash = "sha256:578283f006390f85bb6282dffb876454593d637f5d1be494b5202ce4877e71f2", size = 1840021, upload-time = "2025-07-30T21:50:15.401Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl", hash = "sha256:6d67a2b4e7f14d8b31b8b52648866fa717f45a1eb70e83002f4331d07e953717", size = 1752557, upload-time = "2025-07-30T21:50:13.323Z" },
+]
+
 [[package]]
 name = "platformdirs"
 version = "4.3.6"