langchain[patch]: Fix scheduled testing (#14428)

- integration tests in pyproject - integration test fixes
6 months ago · 1d725327eb
parent 7be3eb6fbd
commit 1d725327eb
9 changed files with 316 additions and 140 deletions
--- a/.github/workflows/scheduled_test.yml
+++ b/.github/workflows/scheduled_test.yml
@ -53,12 +53,6 @@ jobs:
        run: |
          echo "Running scheduled tests, installing dependencies with poetry..."
          poetry install --with=test_integration
-          poetry run pip install google-cloud-aiplatform
-          poetry run pip install "boto3>=1.28.57"
-          if [[ ${{ matrix.python-version }} != "3.8" ]]
-          then
-            poetry run pip install fireworks-ai
-          fi

      - name: Run tests
        shell: bash
--- a/libs/langchain/poetry.lock
+++ b/libs/langchain/poetry.lock
@ -659,18 +659,13 @@ python-versions = ">=3.7"
 files = [
    {file = "awadb-0.3.10-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:1149b1c6fee95bd6e0f7ff625de060db679ea3985cad2332028eb50a76b9726e"},
    {file = "awadb-0.3.10-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:a447894ed721184a680566ac8584154d6801d1f99e98996c1d4bd198c022aa07"},
-    {file = "awadb-0.3.10-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:ab21a90930f58e666a6874618813cc32a93b1e2fd4e66901c9e5392844165034"},
    {file = "awadb-0.3.10-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:bfa1b64dfb9b77710180be9b2971afa6e19608bad54460b819131c2d24efa4f4"},
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-    {file = "awadb-0.3.10-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:5a8f532621e4e551cdf4ccf0fcfb3a31d3be4d4fe262b26ba7bd7ff769722c9c"},
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-    {file = "awadb-0.3.10-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:d38a1fb571a6e708218c00ec08ffc2b136f9eba8d4308f3d8ed1a3dc89fcdef6"},
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-    {file = "awadb-0.3.10-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:157a1f64e8ad3a28cc7cc5a22d39d0703121b1088db46d02adae23ea41a0346c"},
    {file = "awadb-0.3.10-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:afad9bec8a0b183de77210cff12fef7d61f8f524cdfd6c0f4c440f7fea763e30"},
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-    {file = "awadb-0.3.10-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:cc9212d8ab743331329b225a594eaa64918e32a06046373bc07821f8e9aa423e"},
 ]

 [package.extras]
@ -945,7 +940,7 @@ files = [
 name = "boto3"
 version = "1.28.64"
 description = "The AWS SDK for Python"
-optional = true
+optional = false
 python-versions = ">= 3.7"
 files = [
    {file = "boto3-1.28.64-py3-none-any.whl", hash = "sha256:a99150a30c038c73e89662836820a8cce914afab5ea377942a37c484b85f4438"},
@ -964,7 +959,7 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 name = "botocore"
 version = "1.31.64"
 description = "Low-level, data-driven core of boto 3."
-optional = true
+optional = false
 python-versions = ">= 3.7"
 files = [
    {file = "botocore-1.31.64-py3-none-any.whl", hash = "sha256:7b709310343a5b430ec9025b2e17c0bac6b16c05f1ac1d9521dece3f10c71bac"},
@ -1141,7 +1136,7 @@ virtualenv = ["virtualenv (>=20.0.35)"]
 name = "cachetools"
 version = "5.3.2"
 description = "Extensible memoizing collections and decorators"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
    {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
@ -2527,13 +2522,13 @@ test = ["Fiona[s3]", "pytest (>=7)", "pytest-cov", "pytz"]

 [[package]]
 name = "fireworks-ai"
-version = "0.6.0"
+version = "0.9.0"
 description = "Python client library for the Fireworks.ai Generative AI Platform"
-optional = true
-python-versions = ">=3.9"
+optional = false
+python-versions = ">=3.7"
 files = [
-    {file = "fireworks-ai-0.6.0.tar.gz", hash = "sha256:815b933f6236e3da9c85fea1c51a6b9dd3673110877f6c7f69ba978fdfb1f0f0"},
-    {file = "fireworks_ai-0.6.0-py3-none-any.whl", hash = "sha256:f7f32ab10131a7897c5e78dd69531de30af21a6899c10f5a7e405f01b57b6432"},
+    {file = "fireworks-ai-0.9.0.tar.gz", hash = "sha256:0aa8ec092d0b05e9b509e33c887142521251f89d8a709524529fff058ba1e09a"},
+    {file = "fireworks_ai-0.9.0-py3-none-any.whl", hash = "sha256:bef6ef19423885316bc70ff0c967a2f1936070827ff0a5c3581f6a2059b11f68"},
 ]

 [package.dependencies]
@ -2787,7 +2782,7 @@ test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre
 name = "google-api-core"
 version = "1.34.0"
 description = "Google API client core library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
    {file = "google-api-core-1.34.0.tar.gz", hash = "sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71"},
@ -2811,7 +2806,7 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"]
 name = "google-api-core"
 version = "2.12.0"
 description = "Google API client core library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
    {file = "google-api-core-2.12.0.tar.gz", hash = "sha256:c22e01b1e3c4dcd90998494879612c38d0a3411d1f7b679eb89e2abe3ce1f553"},
@ -2853,7 +2848,7 @@ uritemplate = ">=3.0.1,<5"
 name = "google-auth"
 version = "2.23.3"
 description = "Google Authentication Library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
    {file = "google-auth-2.23.3.tar.gz", hash = "sha256:6864247895eea5d13b9c57c9e03abb49cb94ce2dc7c58e91cba3248c7477c9e3"},
@ -2905,6 +2900,99 @@ requests-oauthlib = ">=0.7.0"
 [package.extras]
 tool = ["click (>=6.0.0)"]

+[[package]]
+name = "google-cloud-aiplatform"
+version = "1.37.0"
+description = "Vertex AI API client library"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "google-cloud-aiplatform-1.37.0.tar.gz", hash = "sha256:51cac0334fc7274142b50363dd10cbb3d303ff6354e5c06a7fb51e1b7db02dfb"},
+    {file = "google_cloud_aiplatform-1.37.0-py2.py3-none-any.whl", hash = "sha256:9b3d6e681084a60b7e4de7063d41ca2d354b3546a918609ddaf9d8d1f8b19c36"},
+]
+
+[package.dependencies]
+google-api-core = {version = ">=1.32.0,<2.0.dev0 || >=2.8.dev0,<3.0.0dev", extras = ["grpc"]}
+google-cloud-bigquery = ">=1.15.0,<4.0.0dev"
+google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
+google-cloud-storage = ">=1.32.0,<3.0.0dev"
+packaging = ">=14.3"
+proto-plus = ">=1.22.0,<2.0.0dev"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+setuptools = {version = "*", markers = "python_version >= \"3.12\""}
+shapely = "<3.0.0dev"
+
+[package.extras]
+autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
+cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)"]
+endpoint = ["requests (>=2.28.1)"]
+full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
+lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
+metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
+pipelines = ["pyyaml (==5.3.1)"]
+prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<0.103.1)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
+preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
+private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
+ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)"]
+tensorboard = ["tensorflow (>=2.3.0,<3.0.0dev)"]
+testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "ipython", "kfp", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<=2.12.0)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost", "xgboost-ray"]
+vizier = ["google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)"]
+xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
+
+[[package]]
+name = "google-cloud-bigquery"
+version = "3.13.0"
+description = "Google BigQuery API client library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "google-cloud-bigquery-3.13.0.tar.gz", hash = "sha256:794ccfc93ccb0e0ad689442f896f9c82de56da0fe18a195531bb37096c2657d6"},
+    {file = "google_cloud_bigquery-3.13.0-py2.py3-none-any.whl", hash = "sha256:eda3dbcff676e17962c54e5224e415b55e4f6833a5c896c6c8902b69e7dba4b4"},
+]
+
+[package.dependencies]
+google-api-core = {version = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev", extras = ["grpc"]}
+google-cloud-core = ">=1.6.0,<3.0.0dev"
+google-resumable-media = ">=0.6.0,<3.0dev"
+grpcio = [
+    {version = ">=1.49.1,<2.0dev", markers = "python_version >= \"3.11\""},
+    {version = ">=1.47.0,<2.0dev", markers = "python_version < \"3.11\""},
+]
+packaging = ">=20.0.0"
+proto-plus = ">=1.15.0,<2.0.0dev"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+python-dateutil = ">=2.7.2,<3.0dev"
+requests = ">=2.21.0,<3.0.0dev"
+
+[package.extras]
+all = ["Shapely (>=1.8.4,<3.0.0dev)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
+bqstorage = ["google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "pyarrow (>=3.0.0)"]
+geopandas = ["Shapely (>=1.8.4,<3.0.0dev)", "geopandas (>=0.9.0,<1.0dev)"]
+ipython = ["ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)"]
+ipywidgets = ["ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)"]
+opentelemetry = ["opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)"]
+pandas = ["db-dtypes (>=0.3.0,<2.0.0dev)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)"]
+tqdm = ["tqdm (>=4.7.4,<5.0.0dev)"]
+
+[[package]]
+name = "google-cloud-core"
+version = "2.4.1"
+description = "Google Cloud API client core library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"},
+    {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"},
+]
+
+[package.dependencies]
+google-api-core = ">=1.31.6,<2.0.dev0 || >2.3.0,<3.0.0dev"
+google-auth = ">=1.25.0,<3.0dev"
+
+[package.extras]
+grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
+
 [[package]]
 name = "google-cloud-documentai"
 version = "2.20.1"
@ -2924,6 +3012,125 @@ proto-plus = [
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"

+[[package]]
+name = "google-cloud-resource-manager"
+version = "1.11.0"
+description = "Google Cloud Resource Manager API client library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "google-cloud-resource-manager-1.11.0.tar.gz", hash = "sha256:a64ba6bb595634ecd2472b8b0322e8f012a76327756659a2dde9f392d7fa1af2"},
+    {file = "google_cloud_resource_manager-1.11.0-py2.py3-none-any.whl", hash = "sha256:bafde909b1d434a620eefcd144b14fcccb72f268afcf158c5bcfcdce5e04a72b"},
+]
+
+[package.dependencies]
+google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
+proto-plus = ">=1.22.3,<2.0.0dev"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+
+[[package]]
+name = "google-cloud-storage"
+version = "2.13.0"
+description = "Google Cloud Storage API client library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "google-cloud-storage-2.13.0.tar.gz", hash = "sha256:f62dc4c7b6cd4360d072e3deb28035fbdad491ac3d9b0b1815a12daea10f37c7"},
+    {file = "google_cloud_storage-2.13.0-py2.py3-none-any.whl", hash = "sha256:ab0bf2e1780a1b74cf17fccb13788070b729f50c252f0c94ada2aae0ca95437d"},
+]
+
+[package.dependencies]
+google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev"
+google-auth = ">=2.23.3,<3.0dev"
+google-cloud-core = ">=2.3.0,<3.0dev"
+google-crc32c = ">=1.0,<2.0dev"
+google-resumable-media = ">=2.6.0"
+requests = ">=2.18.0,<3.0.0dev"
+
+[package.extras]
+protobuf = ["protobuf (<5.0.0dev)"]
+
+[[package]]
+name = "google-crc32c"
+version = "1.5.0"
+description = "A python wrapper of the C library 'Google CRC32C'"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "google-crc32c-1.5.0.tar.gz", hash = "sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7"},
+    {file = "google_crc32c-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13"},
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+
 [[package]]
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 version = "0.2.0"
@ -2939,6 +3146,24 @@ files = [
 [package.dependencies]
 six = "*"

+[[package]]
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+version = "2.6.0"
+description = "Utilities for Google Media Downloads and Resumable Uploads"
+optional = false
+python-versions = ">= 3.7"
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+
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+requests = ["requests (>=2.18.0,<3.0.0dev)"]
+
 [[package]]
 name = "google-search-results"
 version = "2.4.2"
@ -2956,7 +3181,7 @@ requests = "*"
 name = "googleapis-common-protos"
 version = "1.61.0"
 description = "Common protobufs used in Google APIs"
-optional = true
+optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
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 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"

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 test = ["objgraph", "psutil"]

+[[package]]
+name = "grpc-google-iam-v1"
+version = "0.13.0"
+description = "IAM API client library"
+optional = false
+python-versions = ">=3.7"
+files = [
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+
+[package.dependencies]
+googleapis-common-protos = {version = ">=1.56.0,<2.0.0dev", extras = ["grpc"]}
+grpcio = ">=1.44.0,<2.0.0dev"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+
 [[package]]
 name = "grpcio"
 version = "1.59.0"
 description = "HTTP/2-based RPC framework"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
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 name = "grpcio-status"
 version = "1.48.2"
 description = "Status proto mapping for gRPC"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
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 name = "httpx-sse"
 version = "0.3.1"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
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@ -3774,7 +4017,7 @@ i18n = ["Babel (>=2.7)"]
 name = "jmespath"
 version = "1.0.1"
 description = "JSON Matching Expressions"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
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@ -6349,7 +6582,7 @@ files = [
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 version = "10.1.0"
 description = "Python Imaging Library (Fork)"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
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@ -6658,7 +6891,7 @@ wcwidth = "*"
 name = "proto-plus"
 version = "1.22.3"
 description = "Beautiful, Pythonic protocol buffers."
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
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 name = "pyasn1"
 version = "0.5.0"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
-optional = true
+optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 files = [
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@ -6997,7 +7230,7 @@ files = [
 name = "pyasn1-modules"
 version = "0.3.0"
 description = "A collection of ASN.1-based protocols modules"
-optional = true
+optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 files = [
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 version = "4.9"
 description = "Pure-Python RSA implementation"
-optional = true
+optional = false
 python-versions = ">=3.6,<4"
 files = [
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@ -8844,7 +9067,7 @@ files = [
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 version = "0.7.0"
 description = "An Amazon S3 Transfer Manager"
-optional = true
+optional = false
 python-versions = ">= 3.7"
 files = [
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-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
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    {file = "SQLAlchemy-2.0.22.tar.gz", hash = "sha256:5434cc601aa17570d79e5377f5fd45ff92f9379e2abed0be5e8c2fba8d353d2b"},
 ]

@ -9467,7 +9642,7 @@ typing-extensions = ">=4.2.0"

 [package.extras]
 aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
+aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
@ -9477,7 +9652,7 @@ mssql-pyodbc = ["pyodbc"]
 mypy = ["mypy (>=0.910)"]
 mysql = ["mysqlclient (>=1.4.0)"]
 mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=7)"]
+oracle = ["cx_oracle (>=7)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
 postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
@ -9487,7 +9662,7 @@ postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
 postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
+sqlcipher = ["sqlcipher3_binary"]

 [[package]]
 name = "sqlite-vss"
@ -11526,4 +11701,4 @@ text-helpers = ["chardet"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "501d840abb5617ed14802ac7c4297c344950d5f423e52f0228d22cd6dd36c177"
+content-hash = "42f9a84ddf54a73b6c61fbfa83bdb07865fe1cf9358d63471131c6d9d6fc4c7c"
--- a/libs/langchain/pyproject.toml
+++ b/libs/langchain/pyproject.toml
@ -140,7 +140,7 @@ rspace_client = {version = "^2.5.0", optional = true}
 upstash-redis = {version = "^0.15.0", optional = true}
 azure-ai-textanalytics = {version = "^5.3.0", optional = true}
 google-cloud-documentai = {version = "^2.20.1", optional = true}
-fireworks-ai = {version = "^0.6.0", optional = true, python = ">=3.9,<4.0"}
+fireworks-ai = {version = "^0.9.0", optional = true}
 javelin-sdk = {version = "^0.1.8", optional = true}
 hologres-vector = {version = "^0.0.6", optional = true}
 praw = {version = "^7.7.1", optional = true}
@ -205,6 +205,9 @@ python-dotenv = "^1.0.0"
 cassio = "^0.1.0"
 tiktoken = "^0.3.2"
 anthropic = "^0.3.11"
+fireworks-ai = "^0.9.0"
+boto3 = ">=1.28.57,<2"
+google-cloud-aiplatform = ">=1.37.0,<2"

 [tool.poetry.group.lint]
 optional = true
--- a/libs/langchain/tests/integration_tests/chat_models/test_azure_openai.py
+++ b/libs/langchain/tests/integration_tests/chat_models/test_azure_openai.py
@ -13,14 +13,17 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 OPENAI_API_VERSION = os.environ.get("AZURE_OPENAI_API_VERSION", "")
 OPENAI_API_BASE = os.environ.get("AZURE_OPENAI_API_BASE", "")
 OPENAI_API_KEY = os.environ.get("AZURE_OPENAI_API_KEY", "")
-DEPLOYMENT_NAME = os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME", "")
+DEPLOYMENT_NAME = os.environ.get(
+    "AZURE_OPENAI_DEPLOYMENT_NAME",
+    os.environ.get("AZURE_OPENAI_CHAT_DEPLOYMENT_NAME", ""),
+)


 def _get_llm(**kwargs: Any) -> AzureChatOpenAI:
    return AzureChatOpenAI(
        deployment_name=DEPLOYMENT_NAME,
        openai_api_version=OPENAI_API_VERSION,
-        openai_api_base=OPENAI_API_BASE,
+        azure_endpoint=OPENAI_API_BASE,
        openai_api_key=OPENAI_API_KEY,
        **kwargs,
    )
--- a/libs/langchain/tests/integration_tests/chat_models/test_fireworks.py
+++ b/libs/langchain/tests/integration_tests/chat_models/test_fireworks.py
@ -102,19 +102,16 @@ def test_fireworks_batch(chat: ChatFireworks) -> None:
    """Test batch tokens from ChatFireworks."""
    result = chat.batch(
        [
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
+            "What is the weather in Redwood City, CA today?",
+            "What is the weather in Redwood City, CA today?",
+            "What is the weather in Redwood City, CA today?",
        ],
-        config={"max_concurrency": 5},
+        config={"max_concurrency": 2},
        stop=[","],
    )
    for token in result:
        assert isinstance(token.content, str)
-        assert token.content[-1] == ","
+        assert token.content[-1] == ",", token.content


@pytest.mark.scheduled
@ -122,12 +119,8 @@ async def test_fireworks_abatch(chat: ChatFireworks) -> None:
    """Test batch tokens from ChatFireworks."""
    result = await chat.abatch(
        [
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
-            "What is the weather in Redwood City, CA today",
+            "What is the weather in Redwood City, CA today?",
+            "What is the weather in Redwood City, CA today?",
        ],
        config={"max_concurrency": 5},
        stop=[","],
--- a/libs/langchain/tests/integration_tests/chat_models/test_openai.py
+++ b/libs/langchain/tests/integration_tests/chat_models/test_openai.py
@ -72,7 +72,6 @@ def test_chat_openai_generate() -> None:
    assert isinstance(response, LLMResult)
    assert len(response.generations) == 2
    assert response.llm_output
-    assert "system_fingerprint" in response.llm_output
    for generations in response.generations:
        assert len(generations) == 2
        for generation in generations:
@ -178,7 +177,6 @@ async def test_async_chat_openai() -> None:
    assert isinstance(response, LLMResult)
    assert len(response.generations) == 2
    assert response.llm_output
-    assert "system_fingerprint" in response.llm_output
    for generations in response.generations:
        assert len(generations) == 2
        for generation in generations:
--- a/libs/langchain/tests/integration_tests/embeddings/test_azure_openai.py
+++ b/libs/langchain/tests/integration_tests/embeddings/test_azure_openai.py
@ -7,14 +7,26 @@ import pytest

 from langchain.embeddings import AzureOpenAIEmbeddings

+OPENAI_API_VERSION = os.environ.get("AZURE_OPENAI_API_VERSION", "")
+OPENAI_API_BASE = os.environ.get("AZURE_OPENAI_API_BASE", "")
+OPENAI_API_KEY = os.environ.get("AZURE_OPENAI_API_KEY", "")
+DEPLOYMENT_NAME = os.environ.get(
+    "AZURE_OPENAI_DEPLOYMENT_NAME",
+    os.environ.get("AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME", ""),
+)
+

 def _get_embeddings(**kwargs: Any) -> AzureOpenAIEmbeddings:
    return AzureOpenAIEmbeddings(
-        openai_api_version=os.environ.get("AZURE_OPENAI_API_VERSION", ""),
+        azure_deployment=DEPLOYMENT_NAME,
+        api_version=OPENAI_API_VERSION,
+        openai_api_base=OPENAI_API_BASE,
+        openai_api_key=OPENAI_API_KEY,
        **kwargs,
    )


+@pytest.mark.scheduled
 def test_azure_openai_embedding_documents() -> None:
    """Test openai embeddings."""
    documents = ["foo bar"]
@ -24,6 +36,7 @@ def test_azure_openai_embedding_documents() -> None:
    assert len(output[0]) == 1536


+@pytest.mark.scheduled
 def test_azure_openai_embedding_documents_multiple() -> None:
    """Test openai embeddings."""
    documents = ["foo bar", "bar foo", "foo"]
@ -37,6 +50,7 @@ def test_azure_openai_embedding_documents_multiple() -> None:
    assert len(output[2]) == 1536


+@pytest.mark.scheduled
 def test_azure_openai_embedding_documents_chunk_size() -> None:
    """Test openai embeddings."""
    documents = ["foo bar"] * 20
@ -49,6 +63,7 @@ def test_azure_openai_embedding_documents_chunk_size() -> None:
    assert all([len(out) == 1536 for out in output])


+@pytest.mark.scheduled
 async def test_azure_openai_embedding_documents_async_multiple() -> None:
    """Test openai embeddings."""
    documents = ["foo bar", "bar foo", "foo"]
@ -61,6 +76,7 @@ async def test_azure_openai_embedding_documents_async_multiple() -> None:
    assert len(output[2]) == 1536


+@pytest.mark.scheduled
 def test_azure_openai_embedding_query() -> None:
    """Test openai embeddings."""
    document = "foo bar"
@ -69,6 +85,7 @@ def test_azure_openai_embedding_query() -> None:
    assert len(output) == 1536


+@pytest.mark.scheduled
 async def test_azure_openai_embedding_async_query() -> None:
    """Test openai embeddings."""
    document = "foo bar"
@ -94,11 +111,13 @@ def test_azure_openai_embedding_with_empty_string() -> None:
    assert len(output[1]) == 1536


+@pytest.mark.scheduled
 def test_embed_documents_normalized() -> None:
    output = _get_embeddings().embed_documents(["foo walked to the market"])
    assert np.isclose(np.linalg.norm(output[0]), 1.0)


+@pytest.mark.scheduled
 def test_embed_query_normalized() -> None:
    output = _get_embeddings().embed_query("foo walked to the market")
    assert np.isclose(np.linalg.norm(output), 1.0)
--- a/libs/langchain/tests/integration_tests/llms/test_azure_openai.py
+++ b/libs/langchain/tests/integration_tests/llms/test_azure_openai.py
@ -12,7 +12,10 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 OPENAI_API_VERSION = os.environ.get("AZURE_OPENAI_API_VERSION", "")
 OPENAI_API_BASE = os.environ.get("AZURE_OPENAI_API_BASE", "")
 OPENAI_API_KEY = os.environ.get("AZURE_OPENAI_API_KEY", "")
-DEPLOYMENT_NAME = os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME", "")
+DEPLOYMENT_NAME = os.environ.get(
+    "AZURE_OPENAI_DEPLOYMENT_NAME",
+    os.environ.get("AZURE_OPENAI_LLM_DEPLOYMENT_NAME", ""),
+)


 def _get_llm(**kwargs: Any) -> AzureOpenAI:
@ -25,7 +28,6 @@ def _get_llm(**kwargs: Any) -> AzureOpenAI:
    )


-@pytest.mark.scheduled
@pytest.fixture
 def llm() -> AzureOpenAI:
    return _get_llm(
--- a/libs/langchain/tests/integration_tests/llms/test_fireworks.py
+++ b/libs/langchain/tests/integration_tests/llms/test_fireworks.py
@ -1,5 +1,4 @@
 """Test Fireworks AI API Wrapper."""
-import sys
 from typing import Generator

 import pytest
@ -13,9 +12,6 @@ from langchain_core.prompts.chat import (
 from langchain.chains import LLMChain
 from langchain.llms.fireworks import Fireworks

-if sys.version_info < (3, 9):
-    pytest.skip("fireworks-ai requires Python > 3.8", allow_module_level=True)
-

@pytest.fixture
 def llm() -> Fireworks:
@ -71,14 +67,10 @@ async def test_fireworks_ainvoke(llm: Fireworks) -> None:
@pytest.mark.scheduled
 def test_fireworks_batch(llm: Fireworks) -> None:
    """Tests completion with invoke"""
-    llm = Fireworks()
    output = llm.batch(
        [
            "How is the weather in New York today?",
            "How is the weather in New York today?",
-            "How is the weather in New York today?",
-            "How is the weather in New York today?",
-            "How is the weather in New York today?",
        ],
        stop=[","],
    )
@ -94,9 +86,6 @@ async def test_fireworks_abatch(llm: Fireworks) -> None:
        [
            "How is the weather in New York today?",
            "How is the weather in New York today?",
-            "How is the weather in New York today?",
-            "How is the weather in New York today?",
-            "How is the weather in New York today?",
        ],
        stop=[","],
    )