x

This reverts commit 7a8d5586de.

.github/actions/uv_setup/action.yml

@@ -14,6 +14,8 @@ env:
 runs:
   using: composite
   steps:
+    - uses: actions/checkout@v4
+
     - name: Install uv and set the python version
       uses: astral-sh/setup-uv@v5
       with:

.github/scripts/check_diff.py

@@ -39,8 +39,6 @@ IGNORED_PARTNERS = [
 
 PY_312_MAX_PACKAGES = [
     "libs/partners/huggingface",  # https://github.com/pytorch/pytorch/issues/130249
-    "libs/partners/pinecone",
-    "libs/partners/voyageai",
 ]
 
 
@@ -59,7 +57,9 @@ def dependents_graph() -> dict:
     """
     dependents = defaultdict(set)
 
-    for path in glob.glob("./libs/**/pyproject.toml", recursive=True):
+    # for path in glob.glob("./libs/**/pyproject.toml", recursive=True):
+    # TODO: fix this
+    for path in ["./libs/langchain/pyproject.toml", "./libs/core/pyproject.toml"]:
         if "template" in path:
             continue
 

.github/scripts/check_prerelease_dependencies.py

@@ -10,25 +10,26 @@ if __name__ == "__main__":
         toml_data = tomllib.load(file)
 
     # see if we're releasing an rc
-    version = toml_data["project"]["version"]
+    version = toml_data["tool"]["poetry"]["version"]
     releasing_rc = "rc" in version or "dev" in version
 
     # if not, iterate through dependencies and make sure none allow prereleases
     if not releasing_rc:
-        dependencies = toml_data["project"]["dependencies"]
-        for dep_version in dependencies:
+        dependencies = toml_data["tool"]["poetry"]["dependencies"]
+        for lib in dependencies:
+            dep_version = dependencies[lib]
             dep_version_string = (
                 dep_version["version"] if isinstance(dep_version, dict) else dep_version
             )
 
             if "rc" in dep_version_string:
                 raise ValueError(
-                    f"Dependency {dep_version} has a prerelease version. Please remove this."
+                    f"Dependency {lib} has a prerelease version. Please remove this."
                 )
 
             if isinstance(dep_version, dict) and dep_version.get(
                 "allow-prereleases", False
             ):
                 raise ValueError(
-                    f"Dependency {dep_version} has allow-prereleases set to true. Please remove this."
+                    f"Dependency {lib} has allow-prereleases set to true. Please remove this."
                 )

.github/workflows/_compile_integration_test.yml

@@ -12,9 +12,6 @@ on:
         type: string
         description: "Python version to use"
 
-env:
-  UV_FROZEN: "true"
-
 jobs:
   build:
     defaults:

.github/workflows/_integration_test.yml

@@ -11,9 +11,6 @@ on:
         type: string
         description: "Python version to use"
 
-env:
-  UV_FROZEN: "true"
-
 jobs:
   build:
     defaults:
@@ -36,7 +33,7 @@ jobs:
       - name: Install deps outside pyproject
         if: ${{ startsWith(inputs.working-directory, 'libs/community/') }}
         shell: bash
-        run: VIRTUAL_ENV=.venv uv pip install "boto3<2" "google-cloud-aiplatform<2"
+        run: uv pip install "boto3<2" "google-cloud-aiplatform<2"
 
       - name: Run integration tests
         shell: bash

.github/workflows/_lint.yml

@@ -18,8 +18,6 @@ env:
   # This env var allows us to get inline annotations when ruff has complaints.
   RUFF_OUTPUT_FORMAT: github
 
-  UV_FROZEN: "true"
-
 jobs:
   build:
     name: "make lint #${{ inputs.python-version }}"

.github/workflows/_release.yml

@@ -21,7 +21,6 @@ on:
 
 env:
   PYTHON_VERSION: "3.11"
-  UV_FROZEN: "true"
 
 jobs:
   build:
@@ -216,7 +215,7 @@ jobs:
         #   sometimes a delay in availability on test pypi
         run: |
           uv venv
-          VIRTUAL_ENV=.venv uv pip install dist/*.whl
+          uv run pip install dist/*.whl
 
           # Replace all dashes in the package name with underscores,
           # since that's how Python imports packages with dashes in the name.
@@ -237,7 +236,7 @@ jobs:
           PKG_NAME: ${{ needs.build.outputs.pkg-name }}
           VERSION: ${{ needs.build.outputs.version }}
         run: |
-          VIRTUAL_ENV=.venv uv pip install dist/*.whl
+          uv run pip install dist/*.whl
 
       - name: Run unit tests
         run: make tests
@@ -252,7 +251,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
         id: min-version
         run: |
-          VIRTUAL_ENV=.venv uv pip install packaging requests
+          uv run pip install packaging requests
           python_version="$(uv run python --version | awk '{print $2}')"
           min_versions="$(uv run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml release $python_version)"
           echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
@@ -263,7 +262,7 @@ jobs:
         env:
           MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }}
         run: |
-          VIRTUAL_ENV=.venv uv pip install --force-reinstall $MIN_VERSIONS --editable .
+          uv run pip install --force-reinstall $MIN_VERSIONS --editable .
           make tests
         working-directory: ${{ inputs.working-directory }}
 
@@ -309,7 +308,6 @@ jobs:
           UPSTAGE_API_KEY: ${{ secrets.UPSTAGE_API_KEY }}
           FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
           XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
-          DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
         run: make integration_tests
         working-directory: ${{ inputs.working-directory }}
 

.github/workflows/_test.yml

@@ -12,9 +12,6 @@ on:
         type: string
         description: "Python version to use"
 
-env:
-  UV_FROZEN: "true"
-
 jobs:
   build:
     defaults:
@@ -45,7 +42,7 @@ jobs:
         id: min-version
         shell: bash
         run: |
-          VIRTUAL_ENV=.venv uv pip install packaging tomli requests
+          uv run pip install packaging tomli requests
           python_version="$(uv run python --version | awk '{print $2}')"
           min_versions="$(uv run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml pull_request $python_version)"
           echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
@@ -56,7 +53,7 @@ jobs:
         env:
           MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }}
         run: |
-          VIRTUAL_ENV=.venv uv pip install $MIN_VERSIONS
+          uv run pip install $MIN_VERSIONS
           make tests
         working-directory: ${{ inputs.working-directory }}
 

.github/workflows/_test_doc_imports.yml

@@ -9,7 +9,7 @@ on:
         description: "Python version to use"
 
 env:
-  UV_FROZEN: "true"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -19,23 +19,25 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Set up Python ${{ inputs.python-version }} + uv
-        uses: "./.github/actions/uv_setup"
+      - name: Set up Python ${{ inputs.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ inputs.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          cache-key: core
 
       - name: Install dependencies
         shell: bash
-        run: uv sync --group test
+        run: poetry install --with test
 
       - name: Install langchain editable
         run: |
-          VIRTUAL_ENV=.venv uv pip install langchain-experimental -e libs/core libs/langchain libs/community
+          poetry run pip install langchain-experimental -e libs/core libs/langchain libs/community
 
       - name: Check doc imports
         shell: bash
         run: |
-          uv run python docs/scripts/check_imports.py
+          poetry run python docs/scripts/check_imports.py
 
       - name: Ensure the test did not create any additional files
         shell: bash

.github/workflows/_test_pydantic.yml

@@ -17,9 +17,6 @@ on:
         type: string
         description: "Pydantic version to test."
 
-env:
-  UV_FROZEN: "true"
-
 jobs:
   build:
     defaults:
@@ -42,7 +39,7 @@ jobs:
 
       - name: Overwrite pydantic version
         shell: bash
-        run: VIRTUAL_ENV=.venv uv pip install pydantic~=${{ inputs.pydantic-version }}
+        run: uv pip install pydantic~=${{ inputs.pydantic-version }}
 
       - name: Run core tests
         shell: bash

.github/workflows/_test_release.yml

@@ -14,8 +14,7 @@ on:
         description: "Release from a non-master branch (danger!)"
 
 env:
-  PYTHON_VERSION: "3.11"
-  UV_FROZEN: "true"
+  PYTHON_VERSION: "3.10"
 
 jobs:
   build:

.github/workflows/api_doc_build.yml

@@ -5,6 +5,7 @@ on:
   schedule:
     - cron:  '0 13 * * *'
 env:
+  POETRY_VERSION: "1.8.4"
   PYTHON_VERSION: "3.11"
 
 jobs:
@@ -45,18 +46,20 @@ jobs:
             fi
           done
 
-      - name: Setup python ${{ env.PYTHON_VERSION }}
-        uses: actions/setup-python@v5
-        id: setup-python
+      - name: Set up Python ${{ env.PYTHON_VERSION }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./langchain/.github/actions/poetry_setup"
         with:
           python-version: ${{ env.PYTHON_VERSION }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          cache-key: api-docs
+          working-directory: langchain
 
       - name: Install initial py deps
         working-directory: langchain
         run: |
           python -m pip install -U uv
           python -m uv pip install --upgrade --no-cache-dir pip setuptools pyyaml
-
+          
       - name: Move libs with script
         run: python langchain/.github/scripts/prep_api_docs_build.py
         env:

.github/workflows/check_diffs.yml

@@ -17,9 +17,6 @@ concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}
   cancel-in-progress: true
 
-env:
-  UV_FROZEN: "true"
-
 jobs:
   build:
     runs-on: ubuntu-latest
@@ -132,14 +129,15 @@ jobs:
         with:
           python-version: ${{ matrix.job-configs.python-version }}
 
-      - name: Install dependencies and run extended tests
+      - name: Install dependencies
         shell: bash
         run: |
           echo "Running extended tests, installing dependencies with uv..."
-          uv venv
           uv sync --group test
-          VIRTUAL_ENV=.venv uv pip install -r extended_testing_deps.txt
-          VIRTUAL_ENV=.venv make extended_tests
+          uv pip install -r extended_testing_deps.txt
+
+      - name: Run extended tests
+        run: make extended_tests
 
       - name: Ensure the tests did not create any additional files
         shell: bash

.github/workflows/run_notebooks.yml

@@ -15,7 +15,7 @@ on:
     - cron: '0 13 * * *'
 
 env:
-  UV_FROZEN: "true"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -25,10 +25,13 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Set up Python + uv
-        uses: "./.github/actions/uv_setup"
+      - name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ github.event.inputs.python_version || '3.11' }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: run-notebooks
 
       - name: 'Authenticate to Google Cloud'
         id: 'auth'
@@ -45,17 +48,17 @@ jobs:
 
       - name: Install dependencies
         run: |
-          uv sync --group dev --group test
+          poetry install --with dev,test
 
       - name: Pre-download files
         run: |
-          uv run python docs/scripts/cache_data.py
+          poetry run python docs/scripts/cache_data.py
           curl -s https://raw.githubusercontent.com/lerocha/chinook-database/master/ChinookDatabase/DataSources/Chinook_Sqlite.sql | sqlite3 docs/docs/how_to/Chinook.db
           cp docs/docs/how_to/Chinook.db docs/docs/tutorials/Chinook.db
 
       - name: Prepare notebooks
         run: |
-          uv run python docs/scripts/prepare_notebooks_for_ci.py --comment-install-cells --working-directory ${{ github.event.inputs.working-directory || 'all' }}
+          poetry run python docs/scripts/prepare_notebooks_for_ci.py --comment-install-cells --working-directory ${{ github.event.inputs.working-directory || 'all' }}
 
       - name: Run notebooks
         env:

.github/workflows/scheduled_test.yml

@@ -14,9 +14,7 @@ on:
 
 env:
   POETRY_VERSION: "1.8.4"
-  UV_FROZEN: "true"
-  DEFAULT_LIBS: '["libs/partners/openai", "libs/partners/anthropic", "libs/partners/fireworks", "libs/partners/groq", "libs/partners/mistralai", "libs/partners/google-vertexai", "libs/partners/google-genai", "libs/partners/aws"]'
-  POETRY_LIBS: ("libs/partners/google-vertexai" "libs/partners/google-genai" "libs/partners/aws")
+  DEFAULT_LIBS: '["libs/partners/openai", "libs/partners/anthropic", "libs/partners/fireworks", "libs/partners/groq", "libs/partners/mistralai", "libs/partners/deepseek", "libs/partners/google-vertexai", "libs/partners/google-genai", "libs/partners/aws"]'
 
 jobs:
   compute-matrix:
@@ -81,8 +79,7 @@ jobs:
           mv langchain-google/libs/vertexai langchain/libs/partners/google-vertexai
           mv langchain-aws/libs/aws langchain/libs/partners/aws
 
-      - name: Set up Python ${{ matrix.python-version }} with poetry
-        if: contains(env.POETRY_LIBS, matrix.working-directory)
+      - name: Set up Python ${{ matrix.python-version }}
         uses: "./langchain/.github/actions/poetry_setup"
         with:
           python-version: ${{ matrix.python-version }}
@@ -90,12 +87,6 @@ jobs:
           working-directory: langchain/${{ matrix.working-directory }}
           cache-key: scheduled
 
-      - name: Set up Python ${{ matrix.python-version }} + uv
-        if: "!contains(env.POETRY_LIBS, matrix.working-directory)"
-        uses: "./langchain/.github/actions/uv_setup"
-        with:
-          python-version: ${{ matrix.python-version }}
-
       - name: 'Authenticate to Google Cloud'
         id: 'auth'
         uses: google-github-actions/auth@v2
@@ -109,20 +100,12 @@ jobs:
           aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
           aws-region: ${{ secrets.AWS_REGION }}
 
-      - name: Install dependencies (poetry)
-        if: contains(env.POETRY_LIBS, matrix.working-directory)
+      - name: Install dependencies
         run: |
           echo "Running scheduled tests, installing dependencies with poetry..."
           cd langchain/${{ matrix.working-directory }}
           poetry install --with=test_integration,test
 
-      - name: Install dependencies (uv)
-        if: "!contains(env.POETRY_LIBS, matrix.working-directory)"
-        run: |
-          echo "Running scheduled tests, installing dependencies with uv..."
-          cd langchain/${{ matrix.working-directory }}
-          uv sync --group test --group test_integration
-
       - name: Run integration tests
         env:
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}

Makefile

@@ -1,8 +1,5 @@
 .PHONY: all clean help docs_build docs_clean docs_linkcheck api_docs_build api_docs_clean api_docs_linkcheck spell_check spell_fix lint lint_package lint_tests format format_diff
 
-.EXPORT_ALL_VARIABLES:
-UV_FROZEN = true
-
 ## help: Show this help info.
 help: Makefile
 	@printf "\n\033[1mUsage: make <TARGETS> ...\033[0m\n\n\033[1mTargets:\033[0m\n\n"
@@ -28,20 +25,20 @@ docs_clean:
 
 ## docs_linkcheck: Run linkchecker on the documentation.
 docs_linkcheck:
-	uv run --no-group test linkchecker _dist/docs/ --ignore-url node_modules
+	poetry run linkchecker _dist/docs/ --ignore-url node_modules
 
 ## api_docs_build: Build the API Reference documentation.
 api_docs_build:
-	uv run --no-group test python docs/api_reference/create_api_rst.py
-	cd docs/api_reference && uv run --no-group test make html
-	uv run --no-group test python docs/api_reference/scripts/custom_formatter.py docs/api_reference/_build/html/
+	poetry run python docs/api_reference/create_api_rst.py
+	cd docs/api_reference && poetry run make html
+	poetry run python docs/api_reference/scripts/custom_formatter.py docs/api_reference/_build/html/
 
 API_PKG ?= text-splitters
 
 api_docs_quick_preview:
-	uv run --no-group test python docs/api_reference/create_api_rst.py $(API_PKG)
-	cd docs/api_reference && uv run make html
-	uv run --no-group test python docs/api_reference/scripts/custom_formatter.py docs/api_reference/_build/html/
+	poetry run python docs/api_reference/create_api_rst.py $(API_PKG)
+	cd docs/api_reference && poetry run make html
+	poetry run python docs/api_reference/scripts/custom_formatter.py docs/api_reference/_build/html/
 	open docs/api_reference/_build/html/reference.html
 
 ## api_docs_clean: Clean the API Reference documentation build artifacts.
@@ -53,15 +50,15 @@ api_docs_clean:
 
 ## api_docs_linkcheck: Run linkchecker on the API Reference documentation.
 api_docs_linkcheck:
-	uv run --no-group test linkchecker docs/api_reference/_build/html/index.html
+	poetry run linkchecker docs/api_reference/_build/html/index.html
 
 ## spell_check: Run codespell on the project.
 spell_check:
-	uv run --no-group test codespell --toml pyproject.toml
+	poetry run codespell --toml pyproject.toml
 
 ## spell_fix: Run codespell on the project and fix the errors.
 spell_fix:
-	uv run --no-group test codespell --toml pyproject.toml -w
+	poetry run codespell --toml pyproject.toml -w
 
 ######################
 # LINTING AND FORMATTING
@@ -69,9 +66,9 @@ spell_fix:
 
 ## lint: Run linting on the project.
 lint lint_package lint_tests:
-	uv run --group lint ruff check docs cookbook
-	uv run --group lint ruff format docs cookbook cookbook --diff
-	uv run --group lint ruff check --select I docs cookbook
+	poetry run ruff check docs cookbook
+	poetry run ruff format docs cookbook cookbook --diff
+	poetry run ruff check --select I docs cookbook
 	git --no-pager grep 'from langchain import' docs cookbook | grep -vE 'from langchain import (hub)' && echo "Error: no importing langchain from root in docs, except for hub" && exit 1 || exit 0
 	
 	git --no-pager grep 'api.python.langchain.com' -- docs/docs ':!docs/docs/additional_resources/arxiv_references.mdx' ':!docs/docs/integrations/document_loaders/sitemap.ipynb' || exit 0 && \
@@ -80,5 +77,5 @@ lint lint_package lint_tests:
 
 ## format: Format the project files.
 format format_diff:
-	uv run --group lint ruff format docs cookbook
-	uv run --group lint ruff check --select I --fix docs cookbook
+	poetry run ruff format docs cookbook
+	poetry run ruff check --select I --fix docs cookbook

docs/api_reference/create_api_rst.py

@@ -528,12 +528,7 @@ def _get_package_version(package_dir: Path) -> str:
             "Aborting the build."
         )
         exit(1)
-    try:
-        # uses uv
-        return pyproject["project"]["version"]
-    except KeyError:
-        # uses poetry
-        return pyproject["tool"]["poetry"]["version"]
+    return pyproject["tool"]["poetry"]["version"]
 
 
 def _out_file_path(package_name: str) -> Path:

docs/cassettes/chat_token_usage_tracking_05f22a1d-b021-490f-8840-f628a07459f2.msgpack.zlib

@@ -1 +1 @@
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docs/cassettes/chat_token_usage_tracking_b39bf807-4125-4db4-bbf7-28a46afff6b4.msgpack.zlib

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docs/cassettes/chat_token_usage_tracking_c00c9158-7bb4-4279-88e6-ea70f46e6ac2.msgpack.zlib

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docs/cassettes/qa_citations_daad793f-f08d-4b56-90e8-3f015a79a88e.msgpack.zlib

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docs/cassettes/tools_builtin_1365784c-e666-41c8-a1bb-e50f822b5936.msgpack.zlib

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docs/cassettes/tools_builtin_b4eaed85-c5a6-4ba9-b401-40258b0131c2.msgpack.zlib

@@ -1 +1 @@
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docs/docs/contributing/how_to/code/setup.mdx

@@ -3,11 +3,16 @@
 This guide walks through how to run the repository locally and check in your first code.
 For a [development container](https://containers.dev/), see the [.devcontainer folder](https://github.com/langchain-ai/langchain/tree/master/.devcontainer).
 
-## Dependency Management: `uv` and other env/dependency managers
+## Dependency Management: Poetry and other env/dependency managers
 
-This project utilizes [uv](https://docs.astral.sh/uv/) v0.5+ as a dependency manager.
+This project utilizes [Poetry](https://python-poetry.org/) v1.7.1+ as a dependency manager.
 
-Install `uv`: **[documentation on how to install it](https://docs.astral.sh/uv/getting-started/installation/)**.
+❗Note: *Before installing Poetry*, if you use `Conda`, create and activate a new Conda env (e.g. `conda create -n langchain python=3.9`)
+
+Install Poetry: **[documentation on how to install it](https://python-poetry.org/docs/#installation)**.
+
+❗Note: If you use `Conda` or `Pyenv` as your environment/package manager, after installing Poetry,
+tell Poetry to use the virtualenv python environment (`poetry config virtualenvs.prefer-active-python true`)
 
 ## Different packages
 
@@ -32,7 +37,7 @@ cd libs/community
 Install langchain-community development requirements (for running langchain, running examples, linting, formatting, tests, and coverage):
 
 ```bash
-uv sync
+poetry install --with lint,typing,test,test_integration
 ```
 
 Then verify dependency installation:
@@ -41,6 +46,12 @@ Then verify dependency installation:
 make test
 ```
 
+If during installation you receive a `WheelFileValidationError` for `debugpy`, please make sure you are running
+Poetry v1.6.1+. This bug was present in older versions of Poetry (e.g. 1.4.1) and has been resolved in newer releases.
+If you are still seeing this bug on v1.6.1+, you may also try disabling "modern installation"
+(`poetry config installer.modern-installation false`) and re-installing requirements.
+See [this `debugpy` issue](https://github.com/microsoft/debugpy/issues/1246) for more details.
+
 ## Testing
 
 **Note:** In `langchain`, `langchain-community`, and `langchain-experimental`, some test dependencies are optional. See the following section about optional dependencies.
@@ -68,6 +79,7 @@ If you are only developing `langchain_core` or `langchain_community`, you can si
 
 ```bash
 cd libs/core
+poetry install --with test
 make test
 ```
 
@@ -75,6 +87,7 @@ Or:
 
 ```bash
 cd libs/community
+poetry install --with test
 make test
 ```
 
@@ -166,7 +179,7 @@ ignore-words-list = 'momento,collison,ned,foor,reworkd,parth,whats,aapply,mysogy
 
 `langchain-core` and partner packages **do not use** optional dependencies in this way.
 
-You'll notice that `pyproject.toml` and `uv.lock` are **not** touched when you add optional dependencies below.
+You'll notice that `pyproject.toml` and `poetry.lock` are **not** touched when you add optional dependencies below.
 
 If you're adding a new dependency to Langchain, assume that it will be an optional dependency, and
 that most users won't have it installed.
@@ -183,10 +196,18 @@ test makes use of lightweight fixtures to test the logic of the code.
 
 ## Adding a Jupyter Notebook
 
-If you are adding a Jupyter Notebook example, you'll want to run with `test` dependencies:
+If you are adding a Jupyter Notebook example, you'll want to install the optional `dev` dependencies.
+
+To install dev dependencies:
 
 ```bash
-uv run --group test jupyter notebook
+poetry install --with dev
 ```
 
-When you run `uv sync`, the `langchain` package is installed as editable in the virtualenv, so your new logic can be imported into the notebook.
+Launch a notebook:
+
+```bash
+poetry run jupyter notebook
+```
+
+When you run `poetry install`, the `langchain` package is installed as editable in the virtualenv, so your new logic can be imported into the notebook.

docs/docs/integrations/chat/databricks.ipynb

@@ -509,7 +509,7 @@
    "source": [
     "## API reference\n",
     "\n",
-    "For detailed documentation of all ChatDatabricks features and configurations head to the API reference: https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.ChatDatabricks"
+    "For detailed documentation of all ChatDatabricks features and configurations head to the API reference: https://python.langchain.com/api_reference/databricks/chat_models/langchain_databricks.chat_models.ChatDatabricks.html"
    ]
   }
  ],

docs/docs/integrations/chat/deepseek.ipynb

@@ -31,7 +31,7 @@
     "\n",
     "| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/chat/deepseek) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
-    "| [ChatDeepSeek](https://python.langchain.com/api_reference/deepseek/chat_models/langchain_deepseek.chat_models.ChatDeepSeek.html) | [langchain-deepseek](https://python.langchain.com/api_reference/deepseek/) | ❌ | beta | ✅ | ![PyPI - Downloads](https://img.shields.io/pypi/dm/langchain-deepseek?style=flat-square&label=%20) | ![PyPI - Version](https://img.shields.io/pypi/v/langchain-deepseek?style=flat-square&label=%20) |\n",
+    "| [ChatDeepSeek](https://python.langchain.com/api_reference/deepseek/chat_models/langchain_deepseek.chat_models.ChatDeepSeek.html) | [langchain-deepseek-official](https://python.langchain.com/api_reference/deepseek/) | ❌ | beta | ✅ | ![PyPI - Downloads](https://img.shields.io/pypi/dm/langchain-deepseek-official?style=flat-square&label=%20) | ![PyPI - Version](https://img.shields.io/pypi/v/langchain-deepseek-official?style=flat-square&label=%20) |\n",
     "\n",
     "### Model features\n",
     "| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
@@ -40,7 +40,7 @@
     "\n",
     "## Setup\n",
     "\n",
-    "To access DeepSeek models you'll need to create a/an DeepSeek account, get an API key, and install the `langchain-deepseek` integration package.\n",
+    "To access DeepSeek models you'll need to create a/an DeepSeek account, get an API key, and install the `langchain-deepseek-official` integration package.\n",
     "\n",
     "### Credentials\n",
     "\n",
@@ -87,7 +87,7 @@
    "source": [
     "### Installation\n",
     "\n",
-    "The LangChain DeepSeek integration lives in the `langchain-deepseek` package:"
+    "The LangChain DeepSeek integration lives in the `langchain-deepseek-official` package:"
    ]
   },
   {
@@ -97,7 +97,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -qU langchain-deepseek"
+    "%pip install -qU langchain-deepseek-official"
    ]
   },
   {

docs/docs/integrations/document_loaders/readthedocs_documentation.ipynb

@@ -55,7 +55,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "loader = ReadTheDocsLoader(\"rtdocs\")"
+    "loader = ReadTheDocsLoader(\"rtdocs\", features=\"html.parser\")"
    ]
   },
   {

docs/docs/integrations/llms/oci_generative_ai.ipynb

@@ -135,7 +135,6 @@
     "    compartment_id=\"MY_OCID\",\n",
     "    auth_type=\"SECURITY_TOKEN\",\n",
     "    auth_profile=\"MY_PROFILE\",  # replace with your profile name\n",
-    "    auth_file_location=\"MY_CONFIG_FILE_LOCATION\",  # replace with file location where profile name configs present\n",
     ")"
    ]
   },
@@ -160,7 +159,6 @@
     "    service_endpoint=\"https://inference.generativeai.us-chicago-1.oci.oraclecloud.com\",\n",
     "    compartment_id=\"DEDICATED_COMPARTMENT_OCID\",\n",
     "    auth_profile=\"MY_PROFILE\",  # replace with your profile name,\n",
-    "    auth_file_location=\"MY_CONFIG_FILE_LOCATION\",  # replace with file location where profile name configs present\n",
     "    provider=\"MODEL_PROVIDER\",  # e.g., \"cohere\" or \"meta\"\n",
     "    context_size=\"MODEL_CONTEXT_SIZE\",  # e.g., 128000\n",
     ")"

docs/docs/integrations/providers/nimble.ipynb

@@ -1,107 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "raw",
-   "id": "afaf8039",
-   "metadata": {
-    "id": "afaf8039"
-   },
-   "source": [
-    "---\n",
-    "sidebar_label: Nimble\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "72ee0c4b-9764-423a-9dbf-95129e185210",
-   "metadata": {
-    "id": "72ee0c4b-9764-423a-9dbf-95129e185210"
-   },
-   "source": [
-    "# Nimble\n",
-    "\n",
-    "  [Nimble](https://www.linkedin.com/company/nimbledata) is the first business external data platform, making data decision-making easier than ever, with our award-winning AI-powered data structuring technology Nimble connects business users with the public web knowledge.\n",
-    "We empower businesses with mission-critical real-time external data to unlock advanced business intelligence, price comparison, and other public data for sales and marketing. We translate data into immediate business value.\n",
-    "\n",
-    "If you'd like to learn more about Nimble, visit us at [nimbleway.com](https://www.nimbleway.com/).\n",
-    "\n",
-    "\n",
-    "## Currently we expose the following components\n",
-    "\n",
-    "*   **Retriever** - Allow us to query the internet and get parsed textual results utilizing several search engines.\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "## Usage"
-   ],
-   "metadata": {
-    "id": "AuMFgVFrKbNH"
-   },
-   "id": "AuMFgVFrKbNH"
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "In order to use our provider you have to provide an API key like so"
-   ],
-   "metadata": {
-    "id": "sFlPjZX9KdK6"
-   },
-   "id": "sFlPjZX9KdK6"
-  },
-  {
-   "cell_type": "code",
-   "source": [
-    "import getpass\n",
-    "import os\n",
-    "\n",
-    "os.environ[\"NIMBLE_API_KEY\"] = getpass.getpass()"
-   ],
-   "metadata": {
-    "id": "eAqSHZ-Z8R3F"
-   },
-   "id": "eAqSHZ-Z8R3F",
-   "execution_count": null,
-   "outputs": []
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "For more information about the Authentication process, see [Nimble APIs Authentication Documentation](https://docs.nimbleway.com/nimble-sdk/web-api/nimble-web-api-quick-start-guide/nimble-apis-authentication)."
-   ],
-   "metadata": {
-    "id": "WfwnI_RS8PO5"
-   },
-   "id": "WfwnI_RS8PO5"
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.4"
-  },
-  "colab": {
-   "provenance": []
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

docs/docs/integrations/text_embedding/oci_generative_ai.ipynb

@@ -103,7 +103,6 @@
     "    compartment_id=\"MY_OCID\",\n",
     "    auth_type=\"SECURITY_TOKEN\",\n",
     "    auth_profile=\"MY_PROFILE\",  # replace with your profile name\n",
-    "    auth_file_location=\"MY_CONFIG_FILE_LOCATION\",  # replace with file location where profile name configs present\n",
     ")\n",
     "\n",
     "\n",

docs/docs/integrations/vectorstores/databricks_vector_search.ipynb

@@ -506,7 +506,7 @@
    "source": [
     "## API reference\n",
     "\n",
-    "For detailed documentation of all DatabricksVectorSearch features and configurations head to the API reference: https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.DatabricksVectorSearch"
+    "For detailed documentation of all DatabricksVectorSearch features and configurations head to the API reference: https://python.langchain.com/api_reference/databricks/vectorstores/langchain_databricks.vectorstores.DatabricksVectorSearch.html"
    ]
   }
  ],

docs/docusaurus.config.js

@@ -137,11 +137,6 @@ const config = {
         disableSwitch: false,
         respectPrefersColorScheme: true,
       },
-      announcementBar: {
-        content:
-          '<strong>Join us at <a href="https://interrupt.langchain.com/" target="_blank" rel="noopener noreferrer"> Interrupt: The Agent AI Conference by LangChain</a> on May 13 & 14 in San Francisco!</strong>',
-          backgroundColor: '#d0c9fe'
-      },
       prism: {
         theme: {
           ...baseLightCodeBlockTheme,

docs/scripts/execute_notebooks.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 # Read the list of notebooks to skip from the JSON file
-SKIP_NOTEBOOKS=$(uv run python -c "import json; print('\n'.join(json.load(open('docs/notebooks_no_execution.json'))))")
+SKIP_NOTEBOOKS=$(python -c "import json; print('\n'.join(json.load(open('docs/notebooks_no_execution.json'))))")
 
 # Get the working directory or specific notebook file from the input parameter
 WORKING_DIRECTORY=$1
@@ -13,7 +13,7 @@ execute_notebook() {
     total="$3"
     echo "Starting execution of $file ($index/$total)"
     start_time=$(date +%s)
-    if ! output=$(time uv run --group dev --group test jupyter nbconvert --to notebook --execute --ExecutePreprocessor.kernel_name=python3 $file 2>&1); then
+    if ! output=$(time poetry run jupyter nbconvert --to notebook --execute --ExecutePreprocessor.kernel_name=python3 $file 2>&1); then
         end_time=$(date +%s)
         execution_time=$((end_time - start_time))
         echo "Error in $file. Execution time: $execution_time seconds"

docs/scripts/update_cassettes.sh

@@ -12,7 +12,7 @@
 # modifications should be discarded after the cassettes are generated.
 #
 # Usage:
-# In monorepo env, `uv sync --group dev --group test`
+# In monorepo env, `poetry install --with dev,test`
 # `./docs/scripts/update_cassettes.sh path/to/notebook`
 # e.g., `./docs/scripts/update_cassettes.sh docs/docs/how_to/tool_choice.ipynb`
 #
@@ -41,11 +41,11 @@ delete_cassettes "$WORKING_DIRECTORY"
 
 # Pre-download tiktoken files
 echo "Pre-downloading nltk and tiktoken files..."
-uv run python docs/scripts/cache_data.py
+poetry run python docs/scripts/cache_data.py
 
 # Prepare notebooks
 echo "Preparing notebooks for CI..."
-uv run python docs/scripts/prepare_notebooks_for_ci.py --comment-install-cells --working-directory "$WORKING_DIRECTORY"
+poetry run python docs/scripts/prepare_notebooks_for_ci.py --comment-install-cells --working-directory "$WORKING_DIRECTORY"
 
 # Run notebooks
 echo "Running notebooks..."

docs/src/theme/ChatModelTabs.js

@@ -121,7 +121,7 @@ export const CustomDropdown = ({ selectedOption, options, onSelect, modelType })
  * @param {ChatModelTabsProps} props - Component props.
  */
 export default function ChatModelTabs(props) {
-  const [selectedModel, setSelectedModel] = useState("Groq");
+  const [selectedModel, setSelectedModel] = useState("OpenAI");
   const {
     openaiParams,
     anthropicParams,
@@ -174,20 +174,13 @@ export default function ChatModelTabs(props) {
   const llmVarName = customVarName ?? "model";
 
   const tabItems = [
-    {
-      value: "Groq",
-      label: "Groq",
-      text: `from langchain_groq import ChatGroq\n\n${llmVarName} = ChatGroq(${groqParamsOrDefault})`,
-      apiKeyName: "GROQ_API_KEY",
-      packageName: "langchain-groq",
-      shouldHide: hideGroq,
-    },
     {
       value: "OpenAI",
       label: "OpenAI",
       text: `from langchain_openai import ChatOpenAI\n\n${llmVarName} = ChatOpenAI(${openAIParamsOrDefault})`,
       apiKeyName: "OPENAI_API_KEY",
       packageName: "langchain-openai",
+      default: true,
       shouldHide: hideOpenai,
     },
     {
@@ -196,6 +189,7 @@ export default function ChatModelTabs(props) {
       text: `from langchain_anthropic import ChatAnthropic\n\n${llmVarName} = ChatAnthropic(${anthropicParamsOrDefault})`,
       apiKeyName: "ANTHROPIC_API_KEY",
       packageName: "langchain-anthropic",
+      default: false,
       shouldHide: hideAnthropic,
     },
     {
@@ -204,6 +198,7 @@ export default function ChatModelTabs(props) {
       text: `from langchain_openai import AzureChatOpenAI\n\n${llmVarName} = AzureChatOpenAI(${azureParamsOrDefault})`,
       apiKeyName: "AZURE_OPENAI_API_KEY",
       packageName: "langchain-openai",
+      default: false,
       shouldHide: hideAzure,
     },
     {
@@ -212,6 +207,7 @@ export default function ChatModelTabs(props) {
       text: `from langchain_google_vertexai import ChatVertexAI\n\n${llmVarName} = ChatVertexAI(${googleParamsOrDefault})`,
       apiKeyText: "# Ensure your VertexAI credentials are configured",
       packageName: "langchain-google-vertexai",
+      default: false,
       shouldHide: hideGoogle,
     },
     {
@@ -220,6 +216,7 @@ export default function ChatModelTabs(props) {
       text: `from langchain_aws import ChatBedrock\n\n${llmVarName} = ChatBedrock(${awsBedrockParamsOrDefault})`,
       apiKeyText: "# Ensure your AWS credentials are configured",
       packageName: "langchain-aws",
+      default: false,
       shouldHide: hideAWS,
     },
     {
@@ -228,6 +225,7 @@ export default function ChatModelTabs(props) {
       text: `from langchain_cohere import ChatCohere\n\n${llmVarName} = ChatCohere(${cohereParamsOrDefault})`,
       apiKeyName: "COHERE_API_KEY",
       packageName: "langchain-cohere",
+      default: false,
       shouldHide: hideCohere,
     },
     {
@@ -236,6 +234,7 @@ export default function ChatModelTabs(props) {
       text: `from langchain_nvidia_ai_endpoints import ChatNVIDIA\n\n${llmVarName} = ChatNVIDIA(${nvidiaParamsOrDefault})`,
       apiKeyName: "NVIDIA_API_KEY",
       packageName: "langchain-nvidia-ai-endpoints",
+      default: false,
       shouldHide: hideNvidia,
     },
     {
@@ -244,14 +243,25 @@ export default function ChatModelTabs(props) {
       text: `from langchain_fireworks import ChatFireworks\n\n${llmVarName} = ChatFireworks(${fireworksParamsOrDefault})`,
       apiKeyName: "FIREWORKS_API_KEY",
       packageName: "langchain-fireworks",
+      default: false,
       shouldHide: hideFireworks,
     },
+    {
+      value: "Groq",
+      label: "Groq",
+      text: `from langchain_groq import ChatGroq\n\n${llmVarName} = ChatGroq(${groqParamsOrDefault})`,
+      apiKeyName: "GROQ_API_KEY",
+      packageName: "langchain-groq",
+      default: false,
+      shouldHide: hideGroq,
+    },
     {
       value: "MistralAI",
       label: "Mistral AI",
       text: `from langchain_mistralai import ChatMistralAI\n\n${llmVarName} = ChatMistralAI(${mistralParamsOrDefault})`,
       apiKeyName: "MISTRAL_API_KEY",
       packageName: "langchain-mistralai",
+      default: false,
       shouldHide: hideMistral,
     },
     {
@@ -260,6 +270,7 @@ export default function ChatModelTabs(props) {
       text: `from langchain_openai import ChatOpenAI\n\n${llmVarName} = ChatOpenAI(${togetherParamsOrDefault})`,
       apiKeyName: "TOGETHER_API_KEY",
       packageName: "langchain-openai",
+      default: false,
       shouldHide: hideTogether,
     },
     {
@@ -268,6 +279,7 @@ export default function ChatModelTabs(props) {
       text: `from databricks_langchain import ChatDatabricks\n\nos.environ["DATABRICKS_HOST"] = "https://example.staging.cloud.databricks.com/serving-endpoints"\n\n${llmVarName} = ChatDatabricks(${databricksParamsOrDefault})`,
       apiKeyName: "DATABRICKS_TOKEN",
       packageName: "databricks-langchain",
+      default: false,
       shouldHide: hideDatabricks,
     },
   ];

docs/src/theme/FeatureTables.js

@@ -27,6 +27,7 @@ const FEATURE_TABLES = {
                 "multimodal": true,
                 "local": false,
                 "apiLink": "https://python.langchain.com/api_reference/anthropic/chat_models/langchain_anthropic.chat_models.ChatAnthropic.html"
+                
             },
             {
                 "name": "ChatMistralAI",
@@ -199,21 +200,21 @@ const FEATURE_TABLES = {
                 "link": "upstage",
                 "structured_output": true,
                 "tool_calling": true,
-                "json_mode": false,
+                "json_mode": false, 
                 "multimodal": false,
                 "local": false,
                 "apiLink": "https://python.langchain.com/api_reference/upstage/chat_models/langchain_upstage.chat_models.ChatUpstage.html"
             },
             {
                 "name": "ChatDatabricks",
-                "package": "databricks-langchain",
+                "package": "langchain-databricks",
                 "link": "databricks",
                 "structured_output": true,
                 "tool_calling": true,
-                "json_mode": false,
+                "json_mode": false, 
                 "multimodal": false,
                 "local": false,
-                "apiLink": "https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.ChatDatabricks"
+                "apiLink": "https://python.langchain.com/api_reference/upstage/chat_models/langchain_databricks.chat_models.ChatDatabricks.html"
             },
             {
                 "name": "ChatWatsonx",
@@ -221,7 +222,7 @@ const FEATURE_TABLES = {
                 "link": "ibm_watsonx",
                 "structured_output": true,
                 "tool_calling": true,
-                "json_mode": true,
+                "json_mode": true, 
                 "multimodal": false,
                 "local": false,
                 "apiLink": "https://python.langchain.com/api_reference/ibm/chat_models/langchain_ibm.chat_models.ChatWatsonx.html"
@@ -388,8 +389,8 @@ const FEATURE_TABLES = {
             {
                 name: "Databricks",
                 link: "databricks",
-                package: "databricks-langchain",
-                apiLink: "https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.DatabricksEmbeddings"
+                package: "langchain-databricks",
+                apiLink: "https://python.langchain.com/api_reference/nomic/embeddings/langchain_databricks.embeddings.DatabricksEmbeddings.html"
             },
             {
                 name: "VoyageAI",
@@ -619,6 +620,7 @@ const FEATURE_TABLES = {
                 partnerPackage: false,
                 loaderName: "SharePointLoader",
                 apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.sharepoint.SharePointLoader.html"
+                
             },
             {
                 name: "Tencent COS Directory",
@@ -752,6 +754,7 @@ const FEATURE_TABLES = {
                 link: "twitter",
                 loaderName: "TwitterTweetLoader",
                 apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.twitter.TwitterTweetLoader.html"
+                
             },
             {
                 name: "Reddit",
@@ -1182,7 +1185,7 @@ const FEATURE_TABLES = {
                 multiTenancy: false,
                 local: false,
                 idsInAddDocuments: false,
-            },
+            }, 
         ],
     }
 };

libs/cli/Makefile

@@ -3,9 +3,6 @@
 # LINTING AND FORMATTING
 ######################
 
-.EXPORT_ALL_VARIABLES:
-UV_FROZEN = true
-
 # Define a variable for Python and notebook files.
 PYTHON_FILES=.
 MYPY_CACHE=.mypy_cache
@@ -16,20 +13,20 @@ lint_tests: PYTHON_FILES=tests
 lint_tests: MYPY_CACHE=.mypy_cache_test
 
 lint lint_diff lint_package lint_tests:
-	[ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff check $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff format $(PYTHON_FILES) --diff
-	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && uv run --group typing --group lint mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
+	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 format format_diff:
-	[ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff format $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff check --select I --fix $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)
 
 test tests: _test _e2e_test
 
 PYTHON = .venv/bin/python
 
 _test:
-	uv run --group test pytest tests
+	poetry run pytest tests
 
 # custom integration testing for cli integration flow
 # currently ignores vectorstores test because lacks implementation
@@ -38,7 +35,7 @@ _e2e_test:
 	mkdir .integration_test
 	cd .integration_test && \
 		python3 -m venv .venv && \
-		pip install --upgrade poetry && \
+		$(PYTHON) -m pip install --upgrade poetry && \
 		$(PYTHON) -m pip install -e .. && \
 		$(PYTHON) -m langchain_cli.cli integration new --name parrot-link --name-class ParrotLink && \
 		$(PYTHON) -m langchain_cli.cli integration new --name parrot-link --name-class ParrotLinkB --src=integration_template/chat_models.py --dst=langchain-parrot-link/langchain_parrot_link/chat_models_b.py && \

libs/cli/pyproject.toml

@@ -1,52 +1,48 @@
-[build-system]
-requires = ["pdm-backend"]
-build-backend = "pdm.backend"
-
-[project]
-authors = [
-    {name = "Erick Friis", email = "erick@langchain.dev"},
-]
-license = {text = "MIT"}
-requires-python = "<4.0,>=3.9"
-dependencies = [
-    "typer[all]<1.0.0,>=0.9.0",
-    "gitpython<4,>=3",
-    "langserve[all]>=0.0.51",
-    "uvicorn<1.0,>=0.23",
-    "tomlkit>=0.12",
-    "gritql<1.0.0,>=0.2.0",
-]
+[tool.poetry]
 name = "langchain-cli"
 version = "0.0.35"
 description = "CLI for interacting with LangChain"
+authors = ["Erick Friis <erick@langchain.dev>"]
 readme = "README.md"
+repository = "https://github.com/langchain-ai/langchain"
+license = "MIT"
 
-[project.urls]
+[tool.poetry.urls]
 "Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/cli"
 "Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-cli%3D%3D0%22&expanded=true"
-repository = "https://github.com/langchain-ai/langchain"
 
-[project.scripts]
+[tool.poetry.dependencies]
+python = ">=3.9,<4.0"
+typer = { extras = ["all"], version = "^0.9.0" }
+gitpython = "^3"
+langserve = { extras = ["all"], version = ">=0.0.51" }
+uvicorn = ">=0.23,<1.0"
+tomlkit = ">=0.12"
+gritql = "^0.2.0"
+
+[tool.poetry.scripts]
 langchain = "langchain_cli.cli:app"
 langchain-cli = "langchain_cli.cli:app"
 
-[dependency-groups]
-dev = [
-    "pytest<8.0.0,>=7.4.2",
-    "pytest-watch<5.0.0,>=4.2.0",
-]
-lint = [
-    "ruff<1.0,>=0.5",
-    "mypy<2.0.0,>=1.13.0",
-]
-test = [
-    "langchain @ file:///${PROJECT_ROOT}/../langchain",
-]
-typing = [
-    "langchain @ file:///${PROJECT_ROOT}/../langchain",
-]
-test_integration = []
+[tool.poetry.group.dev.dependencies]
+pytest = "^7.4.2"
+pytest-watch = "^4.2.0"
 
+[tool.poetry.group.lint.dependencies]
+ruff = "^0.5"
+mypy = "^1.13.0"
+
+[tool.poetry.group.test.dependencies]
+langchain = {path = "../langchain", develop = true}
+
+[tool.poetry.group.typing.dependencies]
+langchain = {path = "../langchain", develop = true}
+
+[tool.poetry.group.test_integration.dependencies]
+
+[tool.poetry.extras]
+# For langserve
+serve = []
 
 [tool.ruff.lint]
 select = [
@@ -61,3 +57,7 @@ exclude = [
   "langchain_cli/integration_template",
   "langchain_cli/package_template",
 ]
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

libs/community/Makefile

@@ -7,31 +7,28 @@ all: help
 TEST_FILE ?= tests/unit_tests/
 integration_tests: TEST_FILE = tests/integration_tests/
 
-.EXPORT_ALL_VARIABLES:
-UV_FROZEN = true
-
 # Run unit tests and generate a coverage report.
 coverage:
-	uv run --group test pytest --cov \
+	poetry run pytest --cov \
 		--cov-config=.coveragerc \
 		--cov-report xml \
 		--cov-report term-missing:skip-covered \
 		$(TEST_FILE)
 
 test tests:
-	uv run --group test pytest -n auto --disable-socket --allow-unix-socket $(TEST_FILE)
+	poetry run pytest -n auto --disable-socket --allow-unix-socket $(TEST_FILE)
 
 integration_tests:
-	uv run --group test --group test_integration pytest $(TEST_FILE)
+	poetry run pytest $(TEST_FILE)
 
 test_watch:
-	uv run --group test ptw --disable-socket --allow-unix-socket --snapshot-update --now . -- -vv tests/unit_tests
+	poetry run ptw --disable-socket --allow-unix-socket --snapshot-update --now . -- -vv tests/unit_tests
 
 check_imports: $(shell find langchain_community -name '*.py')
-	uv run --group test python ./scripts/check_imports.py $^
+	poetry run python ./scripts/check_imports.py $^
 
 extended_tests:
-	uv run --no-sync --group test pytest --disable-socket --allow-unix-socket --only-extended tests/unit_tests
+	poetry run pytest --disable-socket --allow-unix-socket --only-extended tests/unit_tests
 
 
 ######################
@@ -51,19 +48,19 @@ lint lint_diff lint_package lint_tests:
 	./scripts/check_pydantic.sh .
 	./scripts/lint_imports.sh .
 	./scripts/check_pickle.sh .
-	[ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff check $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff format $(PYTHON_FILES) --diff
-	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && uv run --group typing --group lint mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
+	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 format format_diff:
-	[ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff format $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff check --select I --fix $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)
 
 spell_check:
-	uv run --group typing --group lint codespell --toml pyproject.toml
+	poetry run codespell --toml pyproject.toml
 
 spell_fix:
-	uv run --group typing --group lint codespell --toml pyproject.toml -w
+	poetry run codespell --toml pyproject.toml -w
 
 ######################
 # HELP

libs/community/extended_testing_deps.txt

@@ -59,7 +59,7 @@ openapi-pydantic>=0.3.2,<0.4
 oracle-ads>=2.9.1,<3
 oracledb>=2.2.0,<3
 pandas>=2.0.1,<3
-pdfminer-six==20231228
+pdfminer-six>=20221105,<20240706
 pdfplumber>=0.11
 pgvector>=0.1.6,<0.2
 playwright>=1.48.0,<2
@@ -104,5 +104,3 @@ mlflow[genai]>=2.14.0
 databricks-sdk>=0.30.0
 websocket>=0.2.1,<1
 writer-sdk>=1.2.0
-yandexcloud==0.144.0
-unstructured[pdf]>=0.15

libs/community/langchain_community/callbacks/openai_info.py

@@ -10,22 +10,6 @@ from langchain_core.messages import AIMessage
 from langchain_core.outputs import ChatGeneration, LLMResult
 
 MODEL_COST_PER_1K_TOKENS = {
-    # OpenAI o1 input
-    "o1": 0.015,
-    "o1-2024-12-17": 0.015,
-    "o1-cached": 0.0075,
-    "o1-2024-12-17-cached": 0.0075,
-    # OpenAI o1 output
-    "o1-completion": 0.06,
-    "o1-2024-12-17-completion": 0.06,
-    # OpenAI o3-mini input
-    "o3-mini": 0.0011,
-    "o3-mini-2025-01-31": 0.0011,
-    "o3-mini-cached": 0.00055,
-    "o3-mini-2025-01-31-cached": 0.00055,
-    # OpenAI o3-mini output
-    "o3-mini-completion": 0.0044,
-    "o3-mini-2025-01-31-completion": 0.0044,
     # OpenAI o1-preview input
     "o1-preview": 0.015,
     "o1-preview-cached": 0.0075,

libs/community/langchain_community/chat_models/databricks.py

@@ -11,7 +11,7 @@ logger = logging.getLogger(__name__)
 @deprecated(
     since="0.3.3",
     removal="1.0",
-    alternative_import="databricks_langchain.ChatDatabricks",
+    alternative_import="langchain_databricks.ChatDatabricks",
 )
 class ChatDatabricks(ChatMlflow):
     """`Databricks` chat models API.

libs/community/langchain_community/chat_models/oci_generative_ai.py

@@ -539,8 +539,6 @@ class ChatOCIGenAI(BaseChatModel, OCIGenAIBase):
             The authentication type to use, e.g., API_KEY (default), SECURITY_TOKEN, INSTANCE_PRINCIPAL, RESOURCE_PRINCIPAL.
         auth_profile: Optional[str]
             The name of the profile in ~/.oci/config, if not specified , DEFAULT will be used.
-        auth_file_location: Optional[str]
-            Path to the config file, If not specified, ~/.oci/config will be used.
         provider: str
             Provider name of the model. Default to None, will try to be derived from the model_id otherwise, requires user input.
     See full list of supported init args and their descriptions in the params section.

libs/community/langchain_community/document_loaders/parsers/pdf.py

@@ -8,12 +8,9 @@ import logging
 import threading
 import warnings
 from datetime import datetime
-from pathlib import Path
-from tempfile import TemporaryDirectory
 from typing import (
     TYPE_CHECKING,
     Any,
-    BinaryIO,
     Iterable,
     Iterator,
     Literal,
@@ -37,6 +34,7 @@ from langchain_community.document_loaders.parsers.images import (
 )
 
 if TYPE_CHECKING:
+    import pdfminer
     import pdfplumber
     import pymupdf
     import pypdf
@@ -275,6 +273,7 @@ class PyPDFParser(BaseBlobParser):
                 # password = None,
                 mode = "single",
                 pages_delimiter = "\n\f",
+                # extract_images = True,
                 # images_parser = TesseractBlobParser(),
             )
 
@@ -465,336 +464,121 @@ class PyPDFParser(BaseBlobParser):
 
 
 class PDFMinerParser(BaseBlobParser):
-    """Parse a blob from a PDF using `pdfminer.six` library.
+    """Parse `PDF` using `PDFMiner`."""
 
-    This class provides methods to parse a blob from a PDF document, supporting various
-    configurations such as handling password-protected PDFs, extracting images, and
-    defining extraction mode.
-    It integrates the 'pdfminer.six' library for PDF processing and offers synchronous
-    blob parsing.
-
-    Examples:
-        Setup:
-
-        .. code-block:: bash
-
-            pip install -U langchain-community pdfminer.six pillow
-
-        Load a blob from a PDF file:
-
-        .. code-block:: python
-
-            from langchain_core.documents.base import Blob
-
-            blob = Blob.from_path("./example_data/layout-parser-paper.pdf")
-
-        Instantiate the parser:
-
-        .. code-block:: python
-
-            from langchain_community.document_loaders.parsers import PDFMinerParser
-
-            parser = PDFMinerParser(
-                # password = None,
-                mode = "single",
-                pages_delimiter = "\n\f",
-                # extract_images = True,
-                # images_to_text = convert_images_to_text_with_tesseract(),
-            )
-
-        Lazily parse the blob:
-
-        .. code-block:: python
-
-            docs = []
-            docs_lazy = parser.lazy_parse(blob)
-
-            for doc in docs_lazy:
-                docs.append(doc)
-            print(docs[0].page_content[:100])
-            print(docs[0].metadata)
-    """
-
-    _warn_concatenate_pages = False
-
-    def __init__(
-        self,
-        extract_images: bool = False,
-        *,
-        password: Optional[str] = None,
-        mode: Literal["single", "page"] = "single",
-        pages_delimiter: str = _DEFAULT_PAGES_DELIMITER,
-        images_parser: Optional[BaseImageBlobParser] = None,
-        images_inner_format: Literal["text", "markdown-img", "html-img"] = "text",
-        concatenate_pages: Optional[bool] = None,
-    ):
+    def __init__(self, extract_images: bool = False, *, concatenate_pages: bool = True):
         """Initialize a parser based on PDFMiner.
 
         Args:
-            password: Optional password for opening encrypted PDFs.
-            mode: Extraction mode to use. Either "single" or "page" for page-wise
-                extraction.
-            pages_delimiter: A string delimiter to separate pages in single-mode
-                extraction.
             extract_images: Whether to extract images from PDF.
-            images_inner_format: The format for the parsed output.
-                - "text" = return the content as is
-                - "markdown-img" = wrap the content into an image markdown link, w/ link
-                pointing to (`![body)(#)`]
-                - "html-img" = wrap the content as the `alt` text of an tag and link to
-                (`<img alt="{body}" src="#"/>`)
-            concatenate_pages: Deprecated. If True, concatenate all PDF pages
-                into one a single document. Otherwise, return one document per page.
-
-        Returns:
-            This method does not directly return data. Use the `parse` or `lazy_parse`
-            methods to retrieve parsed documents with content and metadata.
-
-        Raises:
-            ValueError: If the `mode` is not "single" or "page".
-
-        Warnings:
-            `concatenate_pages` parameter is deprecated. Use `mode='single' or 'page'
-            instead.
+            concatenate_pages: If True, concatenate all PDF pages into one a single
+                               document. Otherwise, return one document per page.
         """
-        super().__init__()
-        if mode not in ["single", "page"]:
-            raise ValueError("mode must be single or page")
-        if extract_images and not images_parser:
-            images_parser = RapidOCRBlobParser()
         self.extract_images = extract_images
-        self.images_parser = images_parser
-        self.images_inner_format = images_inner_format
-        self.password = password
-        self.mode = mode
-        self.pages_delimiter = pages_delimiter
-        if concatenate_pages is not None:
-            if not PDFMinerParser._warn_concatenate_pages:
-                PDFMinerParser._warn_concatenate_pages = True
-                logger.warning(
-                    "`concatenate_pages` parameter is deprecated. "
-                    "Use `mode='single' or 'page'` instead."
-                )
-            self.mode = "single" if concatenate_pages else "page"
-
-    @staticmethod
-    def decode_text(s: Union[bytes, str]) -> str:
-        """
-        Decodes a PDFDocEncoding string to Unicode.
-        Adds py3 compatibility to pdfminer's version.
-
-        Args:
-            s: The string to decode.
-
-        Returns:
-            str: The decoded Unicode string.
-        """
-        from pdfminer.utils import PDFDocEncoding
-
-        if isinstance(s, bytes) and s.startswith(b"\xfe\xff"):
-            return str(s[2:], "utf-16be", "ignore")
-        try:
-            ords = (ord(c) if isinstance(c, str) else c for c in s)
-            return "".join(PDFDocEncoding[o] for o in ords)
-        except IndexError:
-            return str(s)
-
-    @staticmethod
-    def resolve_and_decode(obj: Any) -> Any:
-        """
-        Recursively resolve the metadata values.
-
-        Args:
-            obj: The object to resolve and decode. It can be of any type.
-
-        Returns:
-            The resolved and decoded object.
-        """
-        from pdfminer.psparser import PSLiteral
-
-        if hasattr(obj, "resolve"):
-            obj = obj.resolve()
-        if isinstance(obj, list):
-            return list(map(PDFMinerParser.resolve_and_decode, obj))
-        elif isinstance(obj, PSLiteral):
-            return PDFMinerParser.decode_text(obj.name)
-        elif isinstance(obj, (str, bytes)):
-            return PDFMinerParser.decode_text(obj)
-        elif isinstance(obj, dict):
-            for k, v in obj.items():
-                obj[k] = PDFMinerParser.resolve_and_decode(v)
-            return obj
-
-        return obj
-
-    def _get_metadata(
-        self,
-        fp: BinaryIO,
-        password: str = "",
-        caching: bool = True,
-    ) -> dict[str, Any]:
-        """
-        Extract metadata from a PDF file.
-
-        Args:
-            fp: The file pointer to the PDF file.
-            password: The password for the PDF file, if encrypted. Defaults to an empty
-                string.
-            caching: Whether to cache the PDF structure. Defaults to True.
-
-        Returns:
-            Metadata of the PDF file.
-        """
-        from pdfminer.pdfpage import PDFDocument, PDFPage, PDFParser
-
-        # Create a PDF parser object associated with the file object.
-        parser = PDFParser(fp)
-        # Create a PDF document object that stores the document structure.
-        doc = PDFDocument(parser, password=password, caching=caching)
-        metadata = {}
-
-        for info in doc.info:
-            metadata.update(info)
-        for k, v in metadata.items():
-            try:
-                metadata[k] = PDFMinerParser.resolve_and_decode(v)
-            except Exception as e:  # pragma: nocover
-                # This metadata value could not be parsed. Instead of failing the PDF
-                # read, treat it as a warning only if `strict_metadata=False`.
-                logger.warning(
-                    '[WARNING] Metadata key "%s" could not be parsed due to '
-                    "exception: %s",
-                    k,
-                    str(e),
-                )
-
-        # Count number of pages.
-        metadata["total_pages"] = len(list(PDFPage.create_pages(doc)))
-
-        return metadata
+        self.concatenate_pages = concatenate_pages
 
     def lazy_parse(self, blob: Blob) -> Iterator[Document]:  # type: ignore[valid-type]
-        """
-        Lazily parse the blob.
-        Insert image, if possible, between two paragraphs.
-        In this way, a paragraph can be continued on the next page.
+        """Lazily parse the blob."""
 
-        Args:
-            blob: The blob to parse.
+        if not self.extract_images:
+            try:
+                from pdfminer.high_level import extract_text
+            except ImportError:
+                raise ImportError(
+                    "`pdfminer` package not found, please install it with "
+                    "`pip install pdfminer.six`"
+                )
 
-        Raises:
-            ImportError: If the `pdfminer.six` or `pillow` package is not found.
+            with blob.as_bytes_io() as pdf_file_obj:  # type: ignore[attr-defined]
+                if self.concatenate_pages:
+                    text = extract_text(pdf_file_obj)
+                    metadata = {"source": blob.source}  # type: ignore[attr-defined]
+                    yield Document(page_content=text, metadata=metadata)
+                else:
+                    from pdfminer.pdfpage import PDFPage
 
-        Yield:
-            An iterator over the parsed documents.
-        """
-        try:
-            import pdfminer
-            from pdfminer.converter import PDFLayoutAnalyzer
-            from pdfminer.layout import (
-                LAParams,
-                LTContainer,
-                LTImage,
-                LTItem,
-                LTPage,
-                LTText,
-                LTTextBox,
-            )
+                    pages = PDFPage.get_pages(pdf_file_obj)
+                    for i, _ in enumerate(pages):
+                        text = extract_text(pdf_file_obj, page_numbers=[i])
+                        metadata = {"source": blob.source, "page": str(i)}  # type: ignore[attr-defined]
+                        yield Document(page_content=text, metadata=metadata)
+        else:
+            import io
+
+            from pdfminer.converter import PDFPageAggregator, TextConverter
+            from pdfminer.layout import LAParams
             from pdfminer.pdfinterp import PDFPageInterpreter, PDFResourceManager
             from pdfminer.pdfpage import PDFPage
 
-            if int(pdfminer.__version__) < 20201018:
-                raise ImportError(
-                    "This parser is tested with pdfminer.six version 20201018 or "
-                    "later. Remove pdfminer, and install pdfminer.six with "
-                    "`pip uninstall pdfminer && pip install pdfminer.six`."
-                )
-        except ImportError:
-            raise ImportError(
-                "pdfminer package not found, please install it "
-                "with `pip install pdfminer.six`"
-            )
-
-        with blob.as_bytes_io() as pdf_file_obj, TemporaryDirectory() as tempdir:
-            pages = PDFPage.get_pages(pdf_file_obj, password=self.password or "")
-            rsrcmgr = PDFResourceManager()
-            doc_metadata = _purge_metadata(
-                self._get_metadata(pdf_file_obj, password=self.password or "")
-            )
-            doc_metadata["source"] = blob.source
-
-            class Visitor(PDFLayoutAnalyzer):
-                def __init__(
-                    self,
-                    rsrcmgr: PDFResourceManager,
-                    pageno: int = 1,
-                    laparams: Optional[LAParams] = None,
-                ) -> None:
-                    super().__init__(rsrcmgr, pageno=pageno, laparams=laparams)
-
-                def receive_layout(me, ltpage: LTPage) -> None:
-                    def render(item: LTItem) -> None:
-                        if isinstance(item, LTContainer):
-                            for child in item:
-                                render(child)
-                        elif isinstance(item, LTText):
-                            text_io.write(item.get_text())
-                        if isinstance(item, LTTextBox):
-                            text_io.write("\n")
-                        elif isinstance(item, LTImage):
-                            if self.images_parser:
-                                from pdfminer.image import ImageWriter
-
-                                image_writer = ImageWriter(tempdir)
-                                filename = image_writer.export_image(item)
-                                blob = Blob.from_path(Path(tempdir) / filename)
-                                blob.metadata["source"] = "#"
-                                image_text = next(
-                                    self.images_parser.lazy_parse(blob)
-                                ).page_content
-
-                                text_io.write(
-                                    _format_inner_image(
-                                        blob, image_text, self.images_inner_format
-                                    )
-                                )
-                        else:
-                            pass
-
-                    render(ltpage)
-
             text_io = io.StringIO()
-            visitor_for_all = PDFPageInterpreter(
-                rsrcmgr, Visitor(rsrcmgr, laparams=LAParams())
-            )
-            all_content = []
-            for i, page in enumerate(pages):
-                text_io.truncate(0)
-                text_io.seek(0)
-                visitor_for_all.process_page(page)
-
-                all_text = text_io.getvalue()
-                # For legacy compatibility, net strip()
-                all_text = all_text.strip()
-                if self.mode == "page":
+            with blob.as_bytes_io() as pdf_file_obj:  # type: ignore[attr-defined]
+                pages = PDFPage.get_pages(pdf_file_obj)
+                rsrcmgr = PDFResourceManager()
+                device_for_text = TextConverter(rsrcmgr, text_io, laparams=LAParams())
+                device_for_image = PDFPageAggregator(rsrcmgr, laparams=LAParams())
+                interpreter_for_text = PDFPageInterpreter(rsrcmgr, device_for_text)
+                interpreter_for_image = PDFPageInterpreter(rsrcmgr, device_for_image)
+                for i, page in enumerate(pages):
+                    interpreter_for_text.process_page(page)
+                    interpreter_for_image.process_page(page)
+                    content = text_io.getvalue() + self._extract_images_from_page(
+                        device_for_image.get_result()
+                    )
                     text_io.truncate(0)
                     text_io.seek(0)
-                    yield Document(
-                        page_content=all_text,
-                        metadata=_validate_metadata(doc_metadata | {"page": i}),
-                    )
-                else:
-                    if all_text.endswith("\f"):
-                        all_text = all_text[:-1]
-                    all_content.append(all_text)
-            if self.mode == "single":
-                # Add pages_delimiter between pages
-                document_content = self.pages_delimiter.join(all_content)
-                yield Document(
-                    page_content=document_content,
-                    metadata=_validate_metadata(doc_metadata),
+                    metadata = {"source": blob.source, "page": str(i)}  # type: ignore[attr-defined]
+                    yield Document(page_content=content, metadata=metadata)
+
+    def _extract_images_from_page(self, page: pdfminer.layout.LTPage) -> str:
+        """Extract images from page and get the text with RapidOCR."""
+        import pdfminer
+
+        def get_image(layout_object: Any) -> Any:
+            if isinstance(layout_object, pdfminer.layout.LTImage):
+                return layout_object
+            if isinstance(layout_object, pdfminer.layout.LTContainer):
+                for child in layout_object:
+                    return get_image(child)
+            else:
+                return None
+
+        images = []
+
+        for img in filter(bool, map(get_image, page)):
+            img_filter = img.stream["Filter"]
+            if isinstance(img_filter, list):
+                filter_names = [f.name for f in img_filter]
+            else:
+                filter_names = [img_filter.name]
+
+            without_loss = any(
+                name in _PDF_FILTER_WITHOUT_LOSS for name in filter_names
+            )
+            with_loss = any(name in _PDF_FILTER_WITH_LOSS for name in filter_names)
+            non_matching = {name for name in filter_names} - {
+                *_PDF_FILTER_WITHOUT_LOSS,
+                *_PDF_FILTER_WITH_LOSS,
+            }
+
+            if without_loss and with_loss:
+                warnings.warn(
+                    "Image has both lossy and lossless filters. Defaulting to lossless"
                 )
 
+            if non_matching:
+                warnings.warn(f"Unknown PDF Filter(s): {non_matching}")
+
+            if without_loss:
+                images.append(
+                    np.frombuffer(img.stream.get_data(), dtype=np.uint8).reshape(
+                        img.stream["Height"], img.stream["Width"], -1
+                    )
+                )
+            elif with_loss:
+                images.append(img.stream.get_data())
+
+        return extract_from_images_with_rapidocr(images)
+
 
 class PyMuPDFParser(BaseBlobParser):
     """Parse a blob from a PDF using `PyMuPDF` library.
@@ -830,6 +614,7 @@ class PyMuPDFParser(BaseBlobParser):
                 # password = None,
                 mode = "single",
                 pages_delimiter = "\n\f",
+                # extract_images = True,
                 # images_parser = TesseractBlobParser(),
                 # extract_tables="markdown",
                 # extract_tables_settings=None,
@@ -1051,9 +836,9 @@ class PyMuPDFParser(BaseBlobParser):
         Returns:
             dict: The extracted metadata.
         """
-        metadata = _purge_metadata(
-            {
-                **{
+        return _purge_metadata(
+            dict(
+                {
                     "producer": "PyMuPDF",
                     "creator": "PyMuPDF",
                     "creationdate": "",
@@ -1066,12 +851,8 @@ class PyMuPDFParser(BaseBlobParser):
                     for k in doc.metadata
                     if isinstance(doc.metadata[k], (str, int))
                 },
-            }
+            )
         )
-        for k in ("modDate", "creationDate"):
-            if k in doc.metadata:
-                metadata[k] = doc.metadata[k]
-        return metadata
 
     def _extract_images_from_page(
         self, doc: pymupdf.Document, page: pymupdf.Page

libs/community/langchain_community/document_loaders/pdf.py

@@ -473,122 +473,45 @@ class PyPDFDirectoryLoader(BaseLoader):
 
 
 class PDFMinerLoader(BasePDFLoader):
-    """Load and parse a PDF file using 'pdfminer.six' library.
-
-    This class provides methods to load and parse PDF documents, supporting various
-    configurations such as handling password-protected files, extracting images, and
-    defining extraction mode. It integrates the `pdfminer.six` library for PDF
-    processing and offers both synchronous and asynchronous document loading.
-
-    Examples:
-        Setup:
-
-        .. code-block:: bash
-
-            pip install -U langchain-community pdfminer.six
-
-        Instantiate the loader:
-
-        .. code-block:: python
-
-            from langchain_community.document_loaders import PDFMinerLoader
-
-            loader = PDFMinerLoader(
-                file_path = "./example_data/layout-parser-paper.pdf",
-                # headers = None
-                # password = None,
-                mode = "single",
-                pages_delimiter = "\n\f",
-                # extract_images = True,
-                # images_to_text = convert_images_to_text_with_tesseract(),
-            )
-
-        Lazy load documents:
-
-        .. code-block:: python
-
-            docs = []
-            docs_lazy = loader.lazy_load()
-
-            for doc in docs_lazy:
-                docs.append(doc)
-            print(docs[0].page_content[:100])
-            print(docs[0].metadata)
-
-        Load documents asynchronously:
-
-        .. code-block:: python
-
-            docs = await loader.aload()
-            print(docs[0].page_content[:100])
-            print(docs[0].metadata)
-    """
+    """Load `PDF` files using `PDFMiner`."""
 
     def __init__(
         self,
         file_path: Union[str, PurePath],
         *,
-        password: Optional[str] = None,
-        mode: Literal["single", "page"] = "single",
-        pages_delimiter: str = _DEFAULT_PAGES_DELIMITER,
-        extract_images: bool = False,
-        images_parser: Optional[BaseImageBlobParser] = None,
-        images_inner_format: Literal["text", "markdown-img", "html-img"] = "text",
         headers: Optional[dict] = None,
-        concatenate_pages: Optional[bool] = None,
+        extract_images: bool = False,
+        concatenate_pages: bool = True,
     ) -> None:
-        """Initialize with a file path.
+        """Initialize with file path.
 
         Args:
-            file_path: The path to the PDF file to be loaded.
-            headers: Optional headers to use for GET request to download a file from a
-              web path.
-            password: Optional password for opening encrypted PDFs.
-            mode: The extraction mode, either "single" for the entire document or "page"
-                for page-wise extraction.
-            pages_delimiter: A string delimiter to separate pages in single-mode
-                extraction.
-            extract_images: Whether to extract images from the PDF.
-            images_parser: Optional image blob parser.
-            images_inner_format: The format for the parsed output.
-                - "text" = return the content as is
-                - "markdown-img" = wrap the content into an image markdown link, w/ link
-                pointing to (`![body)(#)`]
-                - "html-img" = wrap the content as the `alt` text of an tag and link to
-                (`<img alt="{body}" src="#"/>`)
-            concatenate_pages: Deprecated. If True, concatenate all PDF pages into one
-                a single document. Otherwise, return one document per page.
-
-        Returns:
-            This method does not directly return data. Use the `load`, `lazy_load` or
-            `aload` methods to retrieve parsed documents with content and metadata.
+            extract_images: Whether to extract images from PDF.
+            concatenate_pages: If True, concatenate all PDF pages into one a single
+                               document. Otherwise, return one document per page.
         """
+        try:
+            from pdfminer.high_level import extract_text  # noqa:F401
+        except ImportError:
+            raise ImportError(
+                "`pdfminer` package not found, please install it with "
+                "`pip install pdfminer.six`"
+            )
+
         super().__init__(file_path, headers=headers)
         self.parser = PDFMinerParser(
-            password=password,
-            extract_images=extract_images,
-            images_parser=images_parser,
-            concatenate_pages=concatenate_pages,
-            mode=mode,
-            pages_delimiter=pages_delimiter,
-            images_inner_format=images_inner_format,
+            extract_images=extract_images, concatenate_pages=concatenate_pages
         )
 
     def lazy_load(
         self,
     ) -> Iterator[Document]:
-        """
-        Lazy load given path as pages.
-        Insert image, if possible, between two paragraphs.
-        In this way, a paragraph can be continued on the next page.
-        """
+        """Lazily load documents."""
         if self.web_path:
-            blob = Blob.from_data(  # type: ignore[attr-defined]
-                open(self.file_path, "rb").read(), path=self.web_path
-            )
+            blob = Blob.from_data(open(self.file_path, "rb").read(), path=self.web_path)  # type: ignore[attr-defined]
         else:
             blob = Blob.from_path(self.file_path)  # type: ignore[attr-defined]
-        yield from self.parser.lazy_parse(blob)
+        yield from self.parser.parse(blob)
 
 
 class PDFMinerPDFasHTMLLoader(BasePDFLoader):

libs/community/langchain_community/embeddings/databricks.py

@@ -16,7 +16,7 @@ def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
 @deprecated(
     since="0.3.3",
     removal="1.0",
-    alternative_import="databricks_langchain.DatabricksEmbeddings",
+    alternative_import="langchain_databricks.DatabricksEmbeddings",
 )
 class DatabricksEmbeddings(MlflowEmbeddings):
     """Databricks embeddings.

libs/community/langchain_community/embeddings/fastembed.py

@@ -1,6 +1,6 @@
 import importlib
 import importlib.metadata
-from typing import Any, Dict, List, Literal, Optional, Sequence, cast
+from typing import Any, Dict, List, Literal, Optional, cast
 
 import numpy as np
 from langchain_core.embeddings import Embeddings
@@ -65,14 +65,6 @@ class FastEmbedEmbeddings(BaseModel, Embeddings):
     Defaults to `None`.
     """
 
-    providers: Optional[Sequence[Any]] = None
-    """List of ONNX execution providers. Use `["CUDAExecutionProvider"]` to enable the
-    use of GPU when generating embeddings. This requires to install `fastembed-gpu`
-    instead of `fastembed`. See https://qdrant.github.io/fastembed/examples/FastEmbed_GPU
-    for more details.
-    Defaults to `None`.
-    """
-
     model: Any = None  # : :meta private:
 
     model_config = ConfigDict(extra="allow", protected_namespaces=())
@@ -84,12 +76,6 @@ class FastEmbedEmbeddings(BaseModel, Embeddings):
         max_length = values.get("max_length")
         cache_dir = values.get("cache_dir")
         threads = values.get("threads")
-        providers = values.get("providers")
-        pkg_to_install = (
-            "fastembed-gpu"
-            if providers and "CUDAExecutionProvider" in providers
-            else "fastembed"
-        )
 
         try:
             fastembed = importlib.import_module("fastembed")
@@ -97,13 +83,12 @@ class FastEmbedEmbeddings(BaseModel, Embeddings):
         except ModuleNotFoundError:
             raise ImportError(
                 "Could not import 'fastembed' Python package. "
-                f"Please install it with `pip install {pkg_to_install}`."
+                "Please install it with `pip install fastembed`."
             )
 
-        if importlib.metadata.version(pkg_to_install) < MIN_VERSION:
+        if importlib.metadata.version("fastembed") < MIN_VERSION:
             raise ImportError(
-                f"FastEmbedEmbeddings requires "
-                f'`pip install -U "{pkg_to_install}>={MIN_VERSION}"`.'
+                'FastEmbedEmbeddings requires `pip install -U "fastembed>=0.2.0"`.'
             )
 
         values["model"] = fastembed.TextEmbedding(
@@ -111,7 +96,6 @@ class FastEmbedEmbeddings(BaseModel, Embeddings):
             max_length=max_length,
             cache_dir=cache_dir,
             threads=threads,
-            providers=providers,
         )
         return values
 

libs/community/langchain_community/embeddings/oci_generative_ai.py

@@ -29,9 +29,6 @@ class OCIGenAIEmbeddings(BaseModel, Embeddings):
     Make sure you have the required policies (profile/roles) to
     access the OCI Generative AI service. If a specific config profile is used,
     you must pass the name of the profile (~/.oci/config) through auth_profile.
-    If a specific config file location is used, you must pass
-    the file location where profile name configs present
-    through auth_file_location
 
     To use, you must provide the compartment id
     along with the endpoint url, and model id
@@ -69,11 +66,6 @@ class OCIGenAIEmbeddings(BaseModel, Embeddings):
     If not specified , DEFAULT will be used 
     """
 
-    auth_file_location: Optional[str] = "~/.oci/config"
-    """Path to the config file.
-    If not specified, ~/.oci/config will be used
-    """
-
     model_id: Optional[str] = None
     """Id of the model to call, e.g., cohere.embed-english-light-v2.0"""
 
@@ -116,8 +108,7 @@ class OCIGenAIEmbeddings(BaseModel, Embeddings):
 
             if values["auth_type"] == OCIAuthType(1).name:
                 client_kwargs["config"] = oci.config.from_file(
-                    file_location=values["auth_file_location"],
-                    profile_name=values["auth_profile"],
+                    profile_name=values["auth_profile"]
                 )
                 client_kwargs.pop("signer", None)
             elif values["auth_type"] == OCIAuthType(2).name:
@@ -133,8 +124,7 @@ class OCIGenAIEmbeddings(BaseModel, Embeddings):
                     return oci.auth.signers.SecurityTokenSigner(st_string, pk)
 
                 client_kwargs["config"] = oci.config.from_file(
-                    file_location=values["auth_file_location"],
-                    profile_name=values["auth_profile"],
+                    profile_name=values["auth_profile"]
                 )
                 client_kwargs["signer"] = make_security_token_signer(
                     oci_config=client_kwargs["config"]
@@ -161,11 +151,11 @@ class OCIGenAIEmbeddings(BaseModel, Embeddings):
             ) from ex
         except Exception as e:
             raise ValueError(
-                """Could not authenticate with OCI client.
-                If INSTANCE_PRINCIPAL or RESOURCE_PRINCIPAL is used,
-                please check the specified
-                auth_profile, auth_file_location and auth_type are valid.""",
-                e,
+                "Could not authenticate with OCI client. "
+                "Please check if ~/.oci/config exists. "
+                "If INSTANCE_PRINCIPLE or RESOURCE_PRINCIPLE is used, "
+                "Please check the specified "
+                "auth_profile and auth_type are valid."
             ) from e
 
         return values

libs/community/langchain_community/llms/databricks.py

@@ -266,7 +266,7 @@ def _pickle_fn_to_hex_string(fn: Callable) -> str:
 @deprecated(
     since="0.3.3",
     removal="1.0",
-    alternative_import="databricks_langchain.ChatDatabricks",
+    alternative_import="langchain_databricks.ChatDatabricks",
 )
 class Databricks(LLM):
     """Databricks serving endpoint or a cluster driver proxy app for LLM.

libs/community/langchain_community/llms/oci_generative_ai.py

@@ -79,11 +79,6 @@ class OCIGenAIBase(BaseModel, ABC):
     If not specified , DEFAULT will be used 
     """
 
-    auth_file_location: Optional[str] = "~/.oci/config"
-    """Path to the config file.
-    If not specified, ~/.oci/config will be used
-    """
-
     model_id: Optional[str] = None
     """Id of the model to call, e.g., cohere.command"""
 
@@ -130,8 +125,7 @@ class OCIGenAIBase(BaseModel, ABC):
 
             if values["auth_type"] == OCIAuthType(1).name:
                 client_kwargs["config"] = oci.config.from_file(
-                    file_location=values["auth_file_location"],
-                    profile_name=values["auth_profile"],
+                    profile_name=values["auth_profile"]
                 )
                 client_kwargs.pop("signer", None)
             elif values["auth_type"] == OCIAuthType(2).name:
@@ -147,8 +141,7 @@ class OCIGenAIBase(BaseModel, ABC):
                     return oci.auth.signers.SecurityTokenSigner(st_string, pk)
 
                 client_kwargs["config"] = oci.config.from_file(
-                    file_location=values["auth_file_location"],
-                    profile_name=values["auth_profile"],
+                    profile_name=values["auth_profile"]
                 )
                 client_kwargs["signer"] = make_security_token_signer(
                     oci_config=client_kwargs["config"]
@@ -178,10 +171,11 @@ class OCIGenAIBase(BaseModel, ABC):
             ) from ex
         except Exception as e:
             raise ValueError(
-                """Could not authenticate with OCI client.
+                """Could not authenticate with OCI client. 
+                Please check if ~/.oci/config exists.
                 If INSTANCE_PRINCIPAL or RESOURCE_PRINCIPAL is used, 
                 please check the specified
-                auth_profile, auth_file_location and auth_type are valid.""",
+                auth_profile and auth_type are valid.""",
                 e,
             ) from e
 
@@ -229,9 +223,6 @@ class OCIGenAI(LLM, OCIGenAIBase):
     access the OCI Generative AI service.
     If a specific config profile is used, you must pass
     the name of the profile (from ~/.oci/config) through auth_profile.
-    If a specific config file location is used, you must pass
-    the file location where profile name configs present
-    through auth_file_location
 
     To use, you must provide the compartment id
     along with the endpoint url, and model id

libs/community/langchain_community/tools/office365/send_event.py

@@ -6,10 +6,10 @@ https://learn.microsoft.com/en-us/graph/auth/
 
 from datetime import datetime as dt
 from typing import List, Optional, Type
-from zoneinfo import ZoneInfo
 
 from langchain_core.callbacks import CallbackManagerForToolRun
 from pydantic import BaseModel, Field
+from zoneinfo import ZoneInfo
 
 from langchain_community.tools.office365.base import O365BaseTool
 from langchain_community.tools.office365.utils import UTC_FORMAT

libs/community/langchain_community/vectorstores/azure_cosmos_db_no_sql.py

@@ -789,13 +789,6 @@ class AzureCosmosDBNoSqlVectorSearch(VectorStore):
                 elif isinstance(condition.value, list):
                     # e.g., for IN clauses
                     value = f"({', '.join(map(str, condition.value))})"
-                elif isinstance(condition.value, (int, float, bool)):
-                    value = str(condition.value)
-                elif condition.value is None:
-                    value = "NULL"
-                else:
-                    raise ValueError(f"Unsupported value type: {type(condition.value)}")
-
                 clauses.append(f"c.{condition.property} {sql_operator} {value}")
         return f""" WHERE {' {} '.format(sql_logical_operator).join(clauses)}""".strip()
 

libs/community/langchain_community/vectorstores/databricks_vector_search.py

@@ -32,7 +32,7 @@ logger = logging.getLogger(__name__)
 @deprecated(
     since="0.3.3",
     removal="1.0",
-    alternative_import="databricks_langchain.DatabricksVectorSearch",
+    alternative_import="langchain_databricks.DatabricksVectorSearch",
 )
 class DatabricksVectorSearch(VectorStore):
     """`Databricks Vector Search` vector store.

libs/community/langchain_community/vectorstores/deeplake.py

@@ -168,7 +168,7 @@ class DeepLake(VectorStore):
         if _DEEPLAKE_INSTALLED is False:
             raise ImportError(
                 "Could not import deeplake python package. "
-                "Please install it with `pip install deeplake[enterprise]<4.0.0`."
+                "Please install it with `pip install deeplake[enterprise]`."
             )
 
         if (

libs/community/pyproject.toml

@@ -2,91 +2,6 @@
 requires = ["pdm-backend"]
 build-backend = "pdm.backend"
 
-[project]
-authors = []
-license = {text = "MIT"}
-requires-python = "<4.0,>=3.9"
-dependencies = [
-    "langchain-core<1.0.0,>=0.3.34rc1",
-    "langchain<1.0.0,>=0.3.18rc1",
-    "SQLAlchemy<3,>=1.4",
-    "requests<3,>=2",
-    "PyYAML>=5.3",
-    "aiohttp<4.0.0,>=3.8.3",
-    "tenacity!=8.4.0,<10,>=8.1.0",
-    "dataclasses-json<0.7,>=0.5.7",
-    "pydantic-settings<3.0.0,>=2.4.0",
-    "langsmith<0.4,>=0.1.125",
-    "httpx-sse<1.0.0,>=0.4.0",
-    "numpy<2,>=1.26.4; python_version < \"3.12\"",
-    "numpy<3,>=1.26.2; python_version >= \"3.12\"",
-]
-name = "langchain-community"
-version = "0.3.17rc1"
-description = "Community contributed LangChain integrations."
-readme = "README.md"
-
-[project.urls]
-"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/community"
-"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-community%3D%3D0%22&expanded=true"
-repository = "https://github.com/langchain-ai/langchain"
-
-[dependency-groups]
-test = [
-    "pytest<8.0.0,>=7.4.4",
-    "pytest-cov<5.0.0,>=4.1.0",
-    "pytest-dotenv<1.0.0,>=0.5.2",
-    "duckdb-engine<1.0.0,>=0.13.6",
-    "pytest-watcher<1.0.0,>=0.2.6",
-    "freezegun<2.0.0,>=1.2.2",
-    "responses<1.0.0,>=0.22.0",
-    "pytest-asyncio<1.0.0,>=0.20.3",
-    "lark<2.0.0,>=1.1.5",
-    "pandas<3.0.0,>=2.0.0",
-    "pytest-mock<4.0.0,>=3.10.0",
-    "pytest-socket<1.0.0,>=0.6.0",
-    "syrupy<5.0.0,>=4.0.2",
-    "requests-mock<2.0.0,>=1.11.0",
-    "pytest-xdist<4.0.0,>=3.6.1",
-    "cffi<1.17.1; python_version < \"3.10\"",
-    "cffi; python_version >= \"3.10\"",
-    "langchain-core @ file:///${PROJECT_ROOT}/../core",
-    "langchain @ file:///${PROJECT_ROOT}/../langchain",
-    "langchain-tests @ file:///${PROJECT_ROOT}/../standard-tests",
-    "toml>=0.10.2",
-]
-codespell = [
-    "codespell<3.0.0,>=2.2.0",
-]
-test_integration = [
-    "pytest-vcr<2.0.0,>=1.0.2",
-    "vcrpy<7,>=6",
-]
-lint = [
-    "ruff<0.6,>=0.5",
-    "cffi<1.17.1; python_version < \"3.10\"",
-    "cffi; python_version >= \"3.10\"",
-]
-dev = [
-    "jupyter<2.0.0,>=1.0.0",
-    "setuptools<68.0.0,>=67.6.1",
-    "langchain-core @ file:///${PROJECT_ROOT}/../core",
-]
-typing = [
-    "mypy<2.0,>=1.12",
-    "types-pyyaml<7.0.0.0,>=6.0.12.2",
-    "types-requests<3.0.0.0,>=2.28.11.5",
-    "types-toml<1.0.0.0,>=0.10.8.1",
-    "types-pytz<2024.0.0.0,>=2023.3.0.0",
-    "types-chardet<6.0.0.0,>=5.0.4.6",
-    "types-redis<5.0.0.0,>=4.3.21.6",
-    "mypy-protobuf<4.0.0,>=3.0.0",
-    "langchain-core @ file:///${PROJECT_ROOT}/../core",
-    "langchain-text-splitters @ file:///${PROJECT_ROOT}/../text-splitters",
-    "langchain @ file:///${PROJECT_ROOT}/../langchain",
-]
-
-
 [tool.ruff]
 exclude = [
     "tests/examples/non-utf8-encoding.py",
@@ -122,3 +37,143 @@ filterwarnings = [
     "ignore::langchain_core._api.deprecation.LangChainDeprecationWarning:test",
     "ignore::langchain_core._api.deprecation.LangChainPendingDeprecationWarning:test",
 ]
+
+[tool.pdm.dev-dependencies]
+test = [
+    "pytest<8.0.0,>=7.4.4",
+    "pytest-cov<5.0.0,>=4.1.0",
+    "pytest-dotenv<1.0.0,>=0.5.2",
+    "duckdb-engine<1.0.0,>=0.13.6",
+    "pytest-watcher<1.0.0,>=0.2.6",
+    "freezegun<2.0.0,>=1.2.2",
+    "responses<1.0.0,>=0.22.0",
+    "pytest-asyncio<1.0.0,>=0.20.3",
+    "lark<2.0.0,>=1.1.5",
+    "pandas<3.0.0,>=2.0.0",
+    "pytest-mock<4.0.0,>=3.10.0",
+    "pytest-socket<1.0.0,>=0.6.0",
+    "syrupy<5.0.0,>=4.0.2",
+    "requests-mock<2.0.0,>=1.11.0",
+    "pytest-xdist<4.0.0,>=3.6.1",
+    "cffi<1.17.1; python_version < \"3.10\"",
+    "cffi; python_version >= \"3.10\"",
+    "langchain-core @ file:///${PROJECT_ROOT}/../core",
+    "langchain @ file:///${PROJECT_ROOT}/../langchain",
+    "langchain-tests @ file:///${PROJECT_ROOT}/../standard-tests",
+]
+codespell = [
+    "codespell<3.0.0,>=2.2.0",
+]
+test_integration = [
+    "pytest-vcr<2.0.0,>=1.0.2",
+    "vcrpy<7,>=6",
+]
+lint = [
+    "ruff<1.0,>=0.5",
+    "cffi<1.17.1; python_version < \"3.10\"",
+    "cffi; python_version >= \"3.10\"",
+]
+dev = [
+    "jupyter<2.0.0,>=1.0.0",
+    "setuptools<68.0.0,>=67.6.1",
+    "langchain-core @ file:///${PROJECT_ROOT}/../core",
+]
+typing = [
+    "mypy<2.0,>=1.12",
+    "types-pyyaml<7.0.0.0,>=6.0.12.2",
+    "types-requests<3.0.0.0,>=2.28.11.5",
+    "types-toml<1.0.0.0,>=0.10.8.1",
+    "types-pytz<2024.0.0.0,>=2023.3.0.0",
+    "types-chardet<6.0.0.0,>=5.0.4.6",
+    "types-redis<5.0.0.0,>=4.3.21.6",
+    "mypy-protobuf<4.0.0,>=3.0.0",
+    "langchain-core @ file:///${PROJECT_ROOT}/../core",
+    "langchain-text-splitters @ file:///${PROJECT_ROOT}/../text-splitters",
+    "langchain @ file:///${PROJECT_ROOT}/../langchain",
+]
+
+[tool.pdm.build]
+includes = []
+
+[project]
+authors = []
+license = {text = "MIT"}
+requires-python = "<4.0,>=3.9"
+dependencies = [
+    "langchain-core<1.0.0,>=0.3.32",
+    "langchain<1.0.0,>=0.3.16",
+    "SQLAlchemy<3,>=1.4",
+    "requests<3,>=2",
+    "PyYAML>=5.3",
+    "aiohttp<4.0.0,>=3.8.3",
+    "tenacity!=8.4.0,<10,>=8.1.0",
+    "dataclasses-json<0.7,>=0.5.7",
+    "pydantic-settings<3.0.0,>=2.4.0",
+    "langsmith<0.4,>=0.1.125",
+    "httpx-sse<1.0.0,>=0.4.0",
+    "numpy<2,>=1.22.4; python_version < \"3.12\"",
+    "numpy<3,>=1.26.2; python_version >= \"3.12\"",
+]
+name = "langchain-community"
+version = "0.3.16"
+description = "Community contributed LangChain integrations."
+readme = "README.md"
+
+[project.urls]
+"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/community"
+"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-community%3D%3D0%22&expanded=true"
+repository = "https://github.com/langchain-ai/langchain"
+
+[dependency-groups]
+test = [
+    "pytest<8.0.0,>=7.4.4",
+    "pytest-cov<5.0.0,>=4.1.0",
+    "pytest-dotenv<1.0.0,>=0.5.2",
+    "duckdb-engine<1.0.0,>=0.13.6",
+    "pytest-watcher<1.0.0,>=0.2.6",
+    "freezegun<2.0.0,>=1.2.2",
+    "responses<1.0.0,>=0.22.0",
+    "pytest-asyncio<1.0.0,>=0.20.3",
+    "lark<2.0.0,>=1.1.5",
+    "pandas<3.0.0,>=2.0.0",
+    "pytest-mock<4.0.0,>=3.10.0",
+    "pytest-socket<1.0.0,>=0.6.0",
+    "syrupy<5.0.0,>=4.0.2",
+    "requests-mock<2.0.0,>=1.11.0",
+    "pytest-xdist<4.0.0,>=3.6.1",
+    "cffi<1.17.1; python_version < \"3.10\"",
+    "cffi; python_version >= \"3.10\"",
+    "langchain-core @ file:///${PROJECT_ROOT}/../core",
+    "langchain @ file:///${PROJECT_ROOT}/../langchain",
+    "langchain-tests @ file:///${PROJECT_ROOT}/../standard-tests",
+]
+codespell = [
+    "codespell<3.0.0,>=2.2.0",
+]
+test_integration = [
+    "pytest-vcr<2.0.0,>=1.0.2",
+    "vcrpy<7,>=6",
+]
+lint = [
+    "ruff<1.0,>=0.5",
+    "cffi<1.17.1; python_version < \"3.10\"",
+    "cffi; python_version >= \"3.10\"",
+]
+dev = [
+    "jupyter<2.0.0,>=1.0.0",
+    "setuptools<68.0.0,>=67.6.1",
+    "langchain-core @ file:///${PROJECT_ROOT}/../core",
+]
+typing = [
+    "mypy<2.0,>=1.12",
+    "types-pyyaml<7.0.0.0,>=6.0.12.2",
+    "types-requests<3.0.0.0,>=2.28.11.5",
+    "types-toml<1.0.0.0,>=0.10.8.1",
+    "types-pytz<2024.0.0.0,>=2023.3.0.0",
+    "types-chardet<6.0.0.0,>=5.0.4.6",
+    "types-redis<5.0.0.0,>=4.3.21.6",
+    "mypy-protobuf<4.0.0,>=3.0.0",
+    "langchain-core @ file:///${PROJECT_ROOT}/../core",
+    "langchain-text-splitters @ file:///${PROJECT_ROOT}/../text-splitters",
+    "langchain @ file:///${PROJECT_ROOT}/../langchain",
+]

libs/community/tests/integration_tests/document_loaders/parsers/test_pdf_parsers.py

@@ -11,6 +11,7 @@ from langchain_community.document_loaders.base import BaseBlobParser
 from langchain_community.document_loaders.blob_loaders import Blob
 from langchain_community.document_loaders.parsers import (
     BaseImageBlobParser,
+    PDFMinerParser,
     PDFPlumberParser,
     PyPDFium2Parser,
 )
@@ -96,6 +97,12 @@ def _assert_with_duplicate_parser(parser: BaseBlobParser, dedupe: bool = False)
         assert "11000000 SSeerriieess" == docs[0].page_content.split("\n")[0]
 
 
+def test_pdfminer_parser() -> None:
+    """Test PDFMiner parser."""
+    # Does not follow defaults to split by page.
+    _assert_with_parser(PDFMinerParser(), splits_by_page=False)
+
+
 def test_pypdfium2_parser() -> None:
     """Test PyPDFium2 parser."""
     # Does not follow defaults to split by page.
@@ -109,6 +116,11 @@ def test_pdfplumber_parser() -> None:
     _assert_with_duplicate_parser(PDFPlumberParser(dedupe=True), dedupe=True)
 
 
+def test_extract_images_text_from_pdf_pdfminerparser() -> None:
+    """Test extract image from pdf and recognize text with rapid ocr - PDFMinerParser"""
+    _assert_with_parser(PDFMinerParser(extract_images=True))
+
+
 def test_extract_images_text_from_pdf_pypdfium2parser() -> None:
     """Test extract image from pdf and recognize text with rapid ocr - PyPDFium2Parser"""  # noqa: E501
     _assert_with_parser(PyPDFium2Parser(extract_images=True))
@@ -126,7 +138,6 @@ class EmptyImageBlobParser(BaseImageBlobParser):
 @pytest.mark.parametrize(
     "parser_factory,params",
     [
-        ("PDFMinerParser", {}),
         ("PyMuPDFParser", {}),
         ("PyPDFParser", {"extraction_mode": "plain"}),
         ("PyPDFParser", {"extraction_mode": "layout"}),
@@ -155,7 +166,6 @@ def test_mode_and_extract_images_variations(
 @pytest.mark.parametrize(
     "parser_factory,params",
     [
-        ("PDFMinerParser", {}),
         ("PyMuPDFParser", {}),
         ("PyPDFParser", {"extraction_mode": "plain"}),
         ("PyPDFParser", {"extraction_mode": "layout"}),

libs/community/tests/integration_tests/document_loaders/test_pdf.py

@@ -8,6 +8,7 @@ import langchain_community.document_loaders as pdf_loaders
 from langchain_community.document_loaders import (
     AmazonTextractPDFLoader,
     MathpixPDFLoader,
+    PDFMinerLoader,
     PDFMinerPDFasHTMLLoader,
     PyPDFium2Loader,
     UnstructuredPDFLoader,
@@ -41,6 +42,34 @@ def test_unstructured_pdf_loader_default_mode() -> None:
     assert len(docs) == 1
 
 
+def test_pdfminer_loader() -> None:
+    """Test PDFMiner loader."""
+    file_path = Path(__file__).parent.parent / "examples/hello.pdf"
+    loader = PDFMinerLoader(file_path)
+    docs = loader.load()
+
+    assert len(docs) == 1
+
+    file_path = Path(__file__).parent.parent / "examples/layout-parser-paper.pdf"
+    loader = PDFMinerLoader(file_path)
+
+    docs = loader.load()
+    assert len(docs) == 1
+
+    # Verify that concatenating pages parameter works
+    file_path = Path(__file__).parent.parent / "examples/hello.pdf"
+    loader = PDFMinerLoader(file_path, concatenate_pages=True)
+    docs = loader.load()
+
+    assert len(docs) == 1
+
+    file_path = Path(__file__).parent.parent / "examples/layout-parser-paper.pdf"
+    loader = PDFMinerLoader(file_path, concatenate_pages=False)
+
+    docs = loader.load()
+    assert len(docs) == 16
+
+
 def test_pdfminer_pdf_as_html_loader() -> None:
     """Test PDFMinerPDFasHTMLLoader."""
     file_path = Path(__file__).parent.parent / "examples/hello.pdf"
@@ -182,7 +211,6 @@ def test_amazontextract_loader_failures() -> None:
 @pytest.mark.parametrize(
     "parser_factory,params",
     [
-        ("PDFMinerLoader", {}),
         ("PyMuPDFLoader", {}),
         ("PyPDFLoader", {}),
     ],
@@ -206,8 +234,6 @@ def test_standard_parameters(
         images_parser=None,
         images_inner_format="text",
         password=None,
-        extract_tables=None,
-        extract_tables_settings=None,
     )
     docs = loader.load()
     assert len(docs) == 16

libs/community/tests/unit_tests/chat_models/test_oci_data_science.py

@@ -82,7 +82,7 @@ class MockResponse:
     def raise_for_status(self) -> None:
         """Mocked raise for status."""
         if 400 <= self.status_code < 600:
-            raise HTTPError()  # type: ignore[call-arg]
+            raise HTTPError()
 
     def json(self) -> Dict:
         """Returns mocked json data."""

libs/community/tests/unit_tests/chat_models/test_yandex.py

@@ -50,7 +50,6 @@ def test_yandexgpt_invalid_model_params() -> None:
     [dict(), dict(disable_request_logging=True), dict(disable_request_logging=False)],
 )
 @mock.patch.dict(os.environ, {}, clear=True)
-@pytest.mark.requires("yandexcloud")  # TODO: remove this
 def test_completion_call(api_key_or_token: dict, disable_logging: dict) -> None:
     absent_yandex_module_stub = MagicMock()
     grpc_mock = MagicMock()

libs/community/tests/unit_tests/document_loaders/parsers/test_pdf_parsers.py

@@ -10,6 +10,7 @@ import langchain_community.document_loaders.parsers as pdf_parsers
 from langchain_community.document_loaders.base import BaseBlobParser
 from langchain_community.document_loaders.blob_loaders import Blob
 from langchain_community.document_loaders.parsers.pdf import (
+    PDFMinerParser,
     PyPDFium2Parser,
     _merge_text_and_extras,
 )
@@ -74,6 +75,13 @@ def _assert_with_parser(parser: BaseBlobParser, *, splits_by_page: bool = True)
         assert int(metadata["page"]) == 0
 
 
+@pytest.mark.requires("pdfminer")
+def test_pdfminer_parser() -> None:
+    """Test PDFMiner parser."""
+    # Does not follow defaults to split by page.
+    _assert_with_parser(PDFMinerParser(), splits_by_page=False)
+
+
 @pytest.mark.requires("pypdfium2")
 def test_pypdfium2_parser() -> None:
     """Test PyPDFium2 parser."""
@@ -84,7 +92,6 @@ def test_pypdfium2_parser() -> None:
 @pytest.mark.parametrize(
     "parser_factory,require,params",
     [
-        ("PDFMinerParser", "pdfminer", {"splits_by_page": False}),
         ("PyMuPDFParser", "pymupdf", {}),
         ("PyPDFParser", "pypdf", {}),
     ],

libs/community/tests/unit_tests/document_loaders/test_mongodb.py

@@ -50,12 +50,11 @@ async def test_load_mocked_with_filters(expected_documents: List[Document]) -> N
     mock_collection.find = mock_find
     mock_collection.count_documents = mock_count_documents
 
-    with (
-        patch("motor.motor_asyncio.AsyncIOMotorClient", return_value=MagicMock()),
-        patch(
-            "langchain_community.document_loaders.mongodb.MongodbLoader.aload",
-            new=mock_async_load,
-        ),
+    with patch(
+        "motor.motor_asyncio.AsyncIOMotorClient", return_value=MagicMock()
+    ), patch(
+        "langchain_community.document_loaders.mongodb.MongodbLoader.aload",
+        new=mock_async_load,
     ):
         loader = MongodbLoader(
             "mongodb://localhost:27017",

libs/community/tests/unit_tests/llms/test_oci_model_deployment_endpoint.py

@@ -63,7 +63,7 @@ class MockResponse:
     def raise_for_status(self) -> None:
         """Mocked raise for status."""
         if 400 <= self.status_code < 600:
-            raise HTTPError()  # type: ignore[call-arg]
+            raise HTTPError()
 
     def json(self) -> Dict:
         """Returns mocked json data."""

libs/community/tests/unit_tests/llms/test_yandex.py

@@ -50,7 +50,6 @@ def test_yandexgpt_invalid_model_params() -> None:
     [dict(), dict(disable_request_logging=True), dict(disable_request_logging=False)],
 )
 @mock.patch.dict(os.environ, {}, clear=True)
-@pytest.mark.requires("yandexcloud")  # TODO: remove this
 def test_completion_call(api_key_or_token: dict, disable_logging: dict) -> None:
     absent_yandex_module_stub = MagicMock()
     grpc_mock = MagicMock()

libs/community/tests/unit_tests/test_cache.py

@@ -30,8 +30,7 @@ from tests.unit_tests.llms.fake_llm import FakeLLM
 def get_sqlite_cache() -> SQLAlchemyCache:
     return SQLAlchemyCache(
         engine=create_engine(
-            "sqlite://",
-            creator=lambda: sqlite3.connect("file::memory:?cache=shared", uri=True),
+            "sqlite://", creator=lambda: sqlite3.connect("file::memory:?cache=shared")
         )
     )
 

libs/community/tests/unit_tests/test_dependencies.py

@@ -5,7 +5,6 @@ from typing import Any, Dict, Mapping
 
 import pytest
 import toml
-from packaging.requirements import Requirement
 
 HERE = Path(__file__).parent
 
@@ -13,21 +12,30 @@ PYPROJECT_TOML = HERE / "../../pyproject.toml"
 
 
 @pytest.fixture()
-def uv_conf() -> Dict[str, Any]:
+def poetry_conf() -> Dict[str, Any]:
     """Load the pyproject.toml file."""
     with open(PYPROJECT_TOML) as f:
-        return toml.load(f)
+        return toml.load(f)["tool"]["poetry"]
 
 
-def test_required_dependencies(uv_conf: Mapping[str, Any]) -> None:
+def test_required_dependencies(poetry_conf: Mapping[str, Any]) -> None:
     """A test that checks if a new non-optional dependency is being introduced.
 
     If this test is triggered, it means that a contributor is trying to introduce a new
     required dependency. This should be avoided in most situations.
     """
     # Get the dependencies from the [tool.poetry.dependencies] section
-    dependencies = uv_conf["project"]["dependencies"]
-    required_dependencies = set(Requirement(dep).name for dep in dependencies)
+    dependencies = poetry_conf["dependencies"]
+
+    is_required = {
+        package_name: isinstance(requirements, str)
+        or isinstance(requirements, list)
+        or not requirements.get("optional", False)
+        for package_name, requirements in dependencies.items()
+    }
+    required_dependencies = [
+        package_name for package_name, required in is_required.items() if required
+    ]
 
     assert sorted(required_dependencies) == sorted(
         [
@@ -39,6 +47,7 @@ def test_required_dependencies(uv_conf: Mapping[str, Any]) -> None:
             "langchain-core",
             "langsmith",
             "numpy",
+            "python",
             "requests",
             "pydantic-settings",
             "tenacity",
@@ -46,8 +55,16 @@ def test_required_dependencies(uv_conf: Mapping[str, Any]) -> None:
         ]
     )
 
+    unrequired_dependencies = [
+        package_name for package_name, required in is_required.items() if not required
+    ]
+    in_extras = [
+        dep for group in poetry_conf.get("extras", {}).values() for dep in group
+    ]
+    assert set(unrequired_dependencies) == set(in_extras)
 
-def test_test_group_dependencies(uv_conf: Mapping[str, Any]) -> None:
+
+def test_test_group_dependencies(poetry_conf: Mapping[str, Any]) -> None:
     """Check if someone is attempting to add additional test dependencies.
 
     Only dependencies associated with test running infrastructure should be added
@@ -56,10 +73,9 @@ def test_test_group_dependencies(uv_conf: Mapping[str, Any]) -> None:
     Examples of dependencies that should NOT be included: boto3, azure, postgres, etc.
     """
 
-    dependencies = uv_conf["dependency-groups"]["test"]
-    test_group_deps = set(Requirement(dep).name for dep in dependencies)
+    test_group_deps = sorted(poetry_conf["group"]["test"]["dependencies"])
 
-    assert sorted(test_group_deps) == sorted(
+    assert test_group_deps == sorted(
         [
             "duckdb-engine",
             "freezegun",
@@ -78,7 +94,6 @@ def test_test_group_dependencies(uv_conf: Mapping[str, Any]) -> None:
             "pytest-xdist",
             "responses",
             "syrupy",
-            "toml",
             "requests-mock",
             # TODO: Hack to get around cffi 1.17.1 not working with py3.9, remove when
             # fix is released.

libs/community/tests/unit_tests/tools/audio/test_tools.py

@@ -44,12 +44,11 @@ def test_huggingface_tts_constructor() -> None:
 def test_huggingface_tts_run_with_requests_mock() -> None:
     os.environ["HUGGINGFACE_API_KEY"] = "foo"
 
-    with (
-        tempfile.TemporaryDirectory() as tmp_dir,
-        patch("uuid.uuid4") as mock_uuid,
-        patch("requests.post") as mock_inference,
-        patch("builtins.open", mock_open()) as mock_file,
-    ):
+    with tempfile.TemporaryDirectory() as tmp_dir, patch(
+        "uuid.uuid4"
+    ) as mock_uuid, patch("requests.post") as mock_inference, patch(
+        "builtins.open", mock_open()
+    ) as mock_file:
         input_query = "Dummy input"
 
         mock_uuid_value = uuid.UUID("00000000-0000-0000-0000-000000000000")

libs/community/tests/unit_tests/tools/playwright/test_all.py

@@ -7,8 +7,8 @@ import pytest
 from langchain_community.agent_toolkits import PlayWrightBrowserToolkit
 
 
-@pytest.mark.requires("bs4")
 @pytest.mark.requires("playwright")
+@pytest.mark.requires("bs4")
 def test_playwright_tools_schemas() -> None:
     """Test calling 'tool_call_schema' for every tool to check to init issues."""
 

libs/community/tests/unit_tests/vectorstores/test_azure_search.py

@@ -220,10 +220,9 @@ def test_ids_used_correctly() -> None:
     ]
     ids_provided = [i.metadata.get("id") for i in documents]
 
-    with (
-        patch.object(SearchClient, "upload_documents", mock_upload_documents),
-        patch.object(SearchIndexClient, "get_index", mock_default_index),
-    ):
+    with patch.object(
+        SearchClient, "upload_documents", mock_upload_documents
+    ), patch.object(SearchIndexClient, "get_index", mock_default_index):
         vector_store = create_vector_store()
         ids_used_at_upload = vector_store.add_documents(documents, ids=ids_provided)
         assert len(ids_provided) == len(ids_used_at_upload)

libs/community/uv.lock

@@ -257,14 +257,15 @@ wheels = [
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.3"
+version = "4.13.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "soupsieve" },
+    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b3/ca/824b1195773ce6166d388573fc106ce56d4a805bd7427b624e063596ec58/beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051", size = 581181 }
+sdist = { url = "https://files.pythonhosted.org/packages/58/f3/d90227cc52f7b8fcd0f2af804f56e55edf8dd07036b681a2809e3245318b/beautifulsoup4-4.13.1.tar.gz", hash = "sha256:741c8b6903a1e4ae8ba32b9c9ae7510dab7a197fdbadcf9fcdeb0891ef5ec66a", size = 618295 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b1/fe/e8c672695b37eecc5cbf43e1d0638d88d66ba3a44c4d321c796f4e59167f/beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed", size = 147925 },
+    { url = "https://files.pythonhosted.org/packages/18/75/899bf9b6270b2ce5e8f01b8da121b29e4b88256feb2cf6c6418d4cc42130/beautifulsoup4-4.13.1-py3-none-any.whl", hash = "sha256:72465267014897bb10ca749bb632bde6c2d20f3254afd5458544bd74e6c2e6d8", size = 185056 },
 ]
 
 [[package]]
@@ -1473,7 +1474,7 @@ wheels = [
 
 [[package]]
 name = "langchain"
-version = "0.3.18rc1"
+version = "0.3.17"
 source = { directory = "../langchain" }
 dependencies = [
     { name = "aiohttp" },
@@ -1494,24 +1495,10 @@ dependencies = [
 requires-dist = [
     { name = "aiohttp", specifier = ">=3.8.3,<4.0.0" },
     { 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-cohere", marker = "extra == 'cohere'" },
-    { name = "langchain-community", marker = "extra == 'community'" },
     { name = "langchain-core", specifier = ">=0.3.33,<1.0.0" },
-    { 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'" },
-    { name = "langchain-ollama", marker = "extra == 'ollama'" },
-    { name = "langchain-openai", marker = "extra == 'openai'" },
     { name = "langchain-text-splitters", specifier = ">=0.3.3,<1.0.0" },
-    { name = "langchain-together", marker = "extra == 'together'" },
     { name = "langsmith", specifier = ">=0.1.17,<0.4" },
-    { name = "numpy", marker = "python_full_version < '3.12'", specifier = ">=1.26.4,<2" },
+    { name = "numpy", marker = "python_full_version < '3.12'", specifier = ">=1.22.4,<2" },
     { name = "numpy", marker = "python_full_version >= '3.12'", specifier = ">=1.26.2,<3" },
     { name = "pydantic", specifier = ">=2.7.4,<3.0.0" },
     { name = "pyyaml", specifier = ">=5.3" },
@@ -1544,7 +1531,6 @@ test = [
     { name = "langchain-tests", directory = "../standard-tests" },
     { name = "langchain-text-splitters", directory = "../text-splitters" },
     { name = "lark", specifier = ">=1.1.5,<2.0.0" },
-    { name = "packaging", specifier = ">=24.2" },
     { name = "pandas", specifier = ">=2.0.0,<3.0.0" },
     { name = "pytest", specifier = ">=8,<9" },
     { name = "pytest-asyncio", specifier = ">=0.23.2,<1.0.0" },
@@ -1557,7 +1543,6 @@ test = [
     { name = "requests-mock", specifier = ">=1.11.0,<2.0.0" },
     { name = "responses", specifier = ">=0.22.0,<1.0.0" },
     { name = "syrupy", specifier = ">=4.0.2,<5.0.0" },
-    { name = "toml", specifier = ">=0.10.2" },
 ]
 test-integration = [
     { name = "cassio", specifier = ">=0.1.0,<1.0.0" },
@@ -1566,7 +1551,6 @@ test-integration = [
     { name = "langchainhub", specifier = ">=0.1.16,<1.0.0" },
     { name = "pytest-vcr", specifier = ">=1.0.2,<2.0.0" },
     { name = "python-dotenv", specifier = ">=1.0.0,<2.0.0" },
-    { name = "urllib3", marker = "python_full_version < '3.10'", specifier = "<2" },
     { name = "wrapt", specifier = ">=1.15.0,<2.0.0" },
 ]
 typing = [
@@ -1584,7 +1568,7 @@ typing = [
 
 [[package]]
 name = "langchain-community"
-version = "0.3.17rc1"
+version = "0.3.16"
 source = { editable = "." }
 dependencies = [
     { name = "aiohttp" },
@@ -1637,7 +1621,6 @@ test = [
     { name = "requests-mock" },
     { name = "responses" },
     { name = "syrupy" },
-    { name = "toml" },
 ]
 test-integration = [
     { name = "pytest-vcr" },
@@ -1662,10 +1645,10 @@ requires-dist = [
     { name = "aiohttp", specifier = ">=3.8.3,<4.0.0" },
     { name = "dataclasses-json", specifier = ">=0.5.7,<0.7" },
     { name = "httpx-sse", specifier = ">=0.4.0,<1.0.0" },
-    { name = "langchain", specifier = ">=0.3.18rc1,<1.0.0" },
-    { name = "langchain-core", specifier = ">=0.3.34rc1,<1.0.0" },
+    { name = "langchain", specifier = ">=0.3.16,<1.0.0" },
+    { name = "langchain-core", specifier = ">=0.3.32,<1.0.0" },
     { name = "langsmith", specifier = ">=0.1.125,<0.4" },
-    { name = "numpy", marker = "python_full_version < '3.12'", specifier = ">=1.26.4,<2" },
+    { name = "numpy", marker = "python_full_version < '3.12'", specifier = ">=1.22.4,<2" },
     { name = "numpy", marker = "python_full_version >= '3.12'", specifier = ">=1.26.2,<3" },
     { name = "pydantic-settings", specifier = ">=2.4.0,<3.0.0" },
     { name = "pyyaml", specifier = ">=5.3" },
@@ -1684,7 +1667,7 @@ dev = [
 lint = [
     { name = "cffi", marker = "python_full_version < '3.10'", specifier = "<1.17.1" },
     { name = "cffi", marker = "python_full_version >= '3.10'" },
-    { name = "ruff", specifier = ">=0.5,<0.6" },
+    { name = "ruff", specifier = ">=0.5,<1.0" },
 ]
 test = [
     { name = "cffi", marker = "python_full_version < '3.10'", specifier = "<1.17.1" },
@@ -1707,7 +1690,6 @@ test = [
     { name = "requests-mock", specifier = ">=1.11.0,<2.0.0" },
     { name = "responses", specifier = ">=0.22.0,<1.0.0" },
     { name = "syrupy", specifier = ">=4.0.2,<5.0.0" },
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 ]
 test-integration = [
     { name = "pytest-vcr", specifier = ">=1.0.2,<2.0.0" },
@@ -1729,7 +1711,7 @@ typing = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.34rc1"
+version = "0.3.33"
 source = { directory = "../core" }
 dependencies = [
     { name = "jsonpatch" },
@@ -1814,14 +1796,14 @@ requires-dist = [
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.6rc1"
+version = "0.3.5"
 source = { directory = "../text-splitters" }
 dependencies = [
     { name = "langchain-core" },
 ]
 
 [package.metadata]
-requires-dist = [{ name = "langchain-core", specifier = ">=0.3.34rc1,<1.0.0" }]
+requires-dist = [{ name = "langchain-core", specifier = ">=0.3.29,<1.0.0" }]
 
 [package.metadata.requires-dev]
 dev = [
@@ -1845,8 +1827,7 @@ test = [
 test-integration = [
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     { name = "sentence-transformers", marker = "python_full_version < '3.13'", specifier = ">=2.6.0" },
-    { name = "spacy", marker = "python_full_version < '3.10'", specifier = ">=3.0.0,<3.8.4" },
-    { name = "spacy", marker = "python_full_version < '3.13'", specifier = ">=3.0.0,<4.0.0" },
+    { name = "spacy", marker = "python_full_version < '3.13'" },
     { name = "transformers", specifier = ">=4.47.0,<5.0.0" },
 ]
 typing = [
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libs/core/Makefile

@@ -6,9 +6,6 @@ all: help
 # Define a variable for the test file path.
 TEST_FILE ?= tests/unit_tests/
 
-.EXPORT_ALL_VARIABLES:
-UV_FROZEN = true
-
 test tests:
 	env \
 	-u LANGCHAIN_TRACING_V2 \