docs: info coloring

.github/actions/uv_setup/action.yml

@@ -1,21 +0,0 @@
-# TODO: https://docs.astral.sh/uv/guides/integration/github/#caching
-
-name: uv-install
-description: Set up Python and uv
-
-inputs:
-  python-version:
-    description: Python version, supporting MAJOR.MINOR only
-    required: true
-
-env:
-  UV_VERSION: "0.5.25"
-
-runs:
-  using: composite
-  steps:
-    - name: Install uv and set the python version
-      uses: astral-sh/setup-uv@v5
-      with:
-        version: ${{ env.UV_VERSION }}
-        python-version: ${{ inputs.python-version }}

.github/scripts/check_diff.py

@@ -7,8 +7,6 @@ from typing import Dict, List, Set
 from pathlib import Path
 import tomllib
 
-from packaging.requirements import Requirement
-
 from get_min_versions import get_min_version_from_toml
 
 
@@ -32,15 +30,10 @@ IGNORED_PARTNERS = [
     # specifically in huggingface jobs
     # https://github.com/langchain-ai/langchain/issues/25558
     "huggingface",
-    # prompty exhibiting issues with numpy for Python 3.13
-    # https://github.com/langchain-ai/langchain/actions/runs/12651104685/job/35251034969?pr=29065
-    "prompty",
 ]
 
 PY_312_MAX_PACKAGES = [
     "libs/partners/huggingface",  # https://github.com/pytorch/pytorch/issues/130249
-    "libs/partners/pinecone",
-    "libs/partners/voyageai",
 ]
 
 
@@ -65,17 +58,15 @@ def dependents_graph() -> dict:
 
         # load regular and test deps from pyproject.toml
         with open(path, "rb") as f:
-            pyproject = tomllib.load(f)
+            pyproject = tomllib.load(f)["tool"]["poetry"]
 
         pkg_dir = "libs" + "/".join(path.split("libs")[1].split("/")[:-1])
         for dep in [
-            *pyproject["project"]["dependencies"],
-            *pyproject["dependency-groups"]["test"],
+            *pyproject["dependencies"].keys(),
+            *pyproject["group"]["test"]["dependencies"].keys(),
         ]:
-            requirement = Requirement(dep)
-            package_name = requirement.name
             if "langchain" in dep:
-                dependents[package_name].add(pkg_dir)
+                dependents[dep].add(pkg_dir)
                 continue
 
         # load extended deps from extended_testing_deps.txt
@@ -126,7 +117,8 @@ def _get_configs_for_single_dir(job: str, dir_: str) -> List[Dict[str, str]]:
         py_versions = ["3.9", "3.10", "3.11", "3.12", "3.13"]
     # custom logic for specific directories
     elif dir_ == "libs/partners/milvus":
-        # milvus doesn't allow 3.12 because they declare deps in funny way
+        # milvus poetry doesn't allow 3.12 because they
+        # declare deps in funny way
         py_versions = ["3.9", "3.11"]
 
     elif dir_ in PY_312_MAX_PACKAGES:
@@ -153,17 +145,17 @@ def _get_configs_for_single_dir(job: str, dir_: str) -> List[Dict[str, str]]:
 def _get_pydantic_test_configs(
     dir_: str, *, python_version: str = "3.11"
 ) -> List[Dict[str, str]]:
-    with open("./libs/core/uv.lock", "rb") as f:
-        core_uv_lock_data = tomllib.load(f)
-    for package in core_uv_lock_data["package"]:
+    with open("./libs/core/poetry.lock", "rb") as f:
+        core_poetry_lock_data = tomllib.load(f)
+    for package in core_poetry_lock_data["package"]:
         if package["name"] == "pydantic":
             core_max_pydantic_minor = package["version"].split(".")[1]
             break
 
-    with open(f"./{dir_}/uv.lock", "rb") as f:
-        dir_uv_lock_data = tomllib.load(f)
+    with open(f"./{dir_}/poetry.lock", "rb") as f:
+        dir_poetry_lock_data = tomllib.load(f)
 
-    for package in dir_uv_lock_data["package"]:
+    for package in dir_poetry_lock_data["package"]:
         if package["name"] == "pydantic":
             dir_max_pydantic_minor = package["version"].split(".")[1]
             break
@@ -309,8 +301,9 @@ if __name__ == "__main__":
                 f"Unknown lib: {file}. check_diff.py likely needs "
                 "an update for this new library!"
             )
-        elif file.startswith("docs/") or file in ["pyproject.toml", "uv.lock"]: # docs or root uv files
-            docs_edited = True
+        elif any(file.startswith(p) for p in ["docs/", "cookbook/"]):
+            if file.startswith("docs/"):
+                docs_edited = True
             dirs_to_run["lint"].add(".")
 
     dependents = dependents_graph()

.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/scripts/get_min_versions.py

@@ -1,4 +1,3 @@
-from collections import defaultdict
 import sys
 from typing import Optional
 
@@ -8,7 +7,6 @@ else:
     # for python 3.10 and below, which doesnt have stdlib tomllib
     import tomli as tomllib
 
-from packaging.requirements import Requirement
 from packaging.specifiers import SpecifierSet
 from packaging.version import Version
 
@@ -96,23 +94,6 @@ def get_minimum_version(package_name: str, spec_string: str) -> Optional[str]:
     return str(min(valid_versions)) if valid_versions else None
 
 
-def _check_python_version_from_requirement(
-    requirement: Requirement, python_version: str
-) -> bool:
-    if not requirement.marker:
-        return True
-    else:
-        marker_str = str(requirement.marker)
-        if "python_version" or "python_full_version" in marker_str:
-            python_version_str = "".join(
-                char
-                for char in marker_str
-                if char.isdigit() or char in (".", "<", ">", "=", ",")
-            )
-            return check_python_version(python_version, python_version_str)
-        return True
-
-
 def get_min_version_from_toml(
     toml_path: str,
     versions_for: str,
@@ -124,10 +105,8 @@ def get_min_version_from_toml(
     with open(toml_path, "rb") as file:
         toml_data = tomllib.load(file)
 
-    dependencies = defaultdict(list)
-    for dep in toml_data["project"]["dependencies"]:
-        requirement = Requirement(dep)
-        dependencies[requirement.name].append(requirement)
+    # Get the dependencies from tool.poetry.dependencies
+    dependencies = toml_data["tool"]["poetry"]["dependencies"]
 
     # Initialize a dictionary to store the minimum versions
     min_versions = {}
@@ -142,11 +121,17 @@ def get_min_version_from_toml(
         if lib in dependencies:
             if include and lib not in include:
                 continue
-            requirements = dependencies[lib]
-            for requirement in requirements:
-                if _check_python_version_from_requirement(requirement, python_version):
-                    version_string = str(requirement.specifier)
-                    break
+            # Get the version string
+            version_string = dependencies[lib]
+
+            if isinstance(version_string, dict):
+                version_string = version_string["version"]
+            if isinstance(version_string, list):
+                version_string = [
+                    vs
+                    for vs in version_string
+                    if check_python_version(python_version, vs["python"])
+                ][0]["version"]
 
             # Use parse_version to get the minimum supported version from version_string
             min_version = get_minimum_version(lib, version_string)

.github/scripts/prep_api_docs_build.py

@@ -64,29 +64,19 @@ def main():
     try:
         # Load packages configuration
         package_yaml = load_packages_yaml()
-
-        # Clean target directories
-        clean_target_directories([
-            p
-            for p in package_yaml["packages"]
-            if p["repo"].startswith("langchain-ai/")
-            and p["repo"] != "langchain-ai/langchain"
-        ])
-
-        # Move libraries to their new locations
-        move_libraries([
+        packages = [
             p
             for p in package_yaml["packages"]
             if not p.get("disabled", False)
             and p["repo"].startswith("langchain-ai/")
             and p["repo"] != "langchain-ai/langchain"
-        ])
+        ]
 
-        # Delete ones without a pyproject.toml
-        for partner in Path("langchain/libs/partners").iterdir():
-            if partner.is_dir() and not (partner / "pyproject.toml").exists():
-                print(f"Removing {partner} as it does not have a pyproject.toml")
-                shutil.rmtree(partner)
+        # Clean target directories
+        clean_target_directories(packages)
+
+        # Move libraries to their new locations
+        move_libraries(packages)
 
         print("Library sync completed successfully!")
 

.github/workflows/_compile_integration_test.yml

@@ -13,7 +13,7 @@ on:
         description: "Python version to use"
 
 env:
-  UV_FROZEN: "true"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -22,22 +22,25 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
     runs-on: ubuntu-latest
     timeout-minutes: 20
-    name: "uv run pytest -m compile tests/integration_tests #${{ inputs.python-version }}"
+    name: "poetry run pytest -m compile tests/integration_tests #${{ inputs.python-version }}"
     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 }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: compile-integration
 
       - name: Install integration dependencies
         shell: bash
-        run: uv sync --group test --group test_integration
+        run: poetry install --with=test_integration,test
 
       - name: Check integration tests compile
         shell: bash
-        run: uv run pytest -m compile tests/integration_tests
+        run: poetry run pytest -m compile tests/integration_tests
 
       - name: Ensure the tests did not create any additional files
         shell: bash

.github/workflows/_integration_test.yml

@@ -12,7 +12,7 @@ on:
         description: "Python version to use"
 
 env:
-  UV_FROZEN: "true"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -24,19 +24,22 @@ 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 }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: core
 
       - name: Install dependencies
         shell: bash
-        run: uv sync --group test --group test_integration
+        run: poetry install --with test,test_integration
 
       - 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: poetry run pip install "boto3<2" "google-cloud-aiplatform<2"
 
       - name: Run integration tests
         shell: bash

.github/workflows/_lint.yml

@@ -13,13 +13,12 @@ on:
         description: "Python version to use"
 
 env:
+  POETRY_VERSION: "1.8.4"
   WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }}
 
   # 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 }}"
@@ -28,10 +27,25 @@ 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 }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: lint-with-extras
+
+      - name: Check Poetry File
+        shell: bash
+        working-directory: ${{ inputs.working-directory }}
+        run: |
+          poetry check
+
+      - name: Check lock file
+        shell: bash
+        working-directory: ${{ inputs.working-directory }}
+        run: |
+          poetry lock --check
 
       - name: Install dependencies
         # Also installs dev/lint/test/typing dependencies, to ensure we have
@@ -44,7 +58,17 @@ jobs:
         # It doesn't matter how you change it, any change will cause a cache-bust.
         working-directory: ${{ inputs.working-directory }}
         run: |
-          uv sync --group lint --group typing
+          poetry install --with lint,typing
+
+      - name: Get .mypy_cache to speed up mypy
+        uses: actions/cache@v4
+        env:
+          SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
+        with:
+          path: |
+            ${{ env.WORKDIR }}/.mypy_cache
+          key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ inputs.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', inputs.working-directory)) }}
+
 
       - name: Analysing the code with our lint
         working-directory: ${{ inputs.working-directory }}
@@ -63,12 +87,21 @@ jobs:
         if: ${{ ! startsWith(inputs.working-directory, 'libs/partners/') }}
         working-directory: ${{ inputs.working-directory }}
         run: |
-          uv sync --group test
+          poetry install --with test
       - name: Install unit+integration test dependencies
         if: ${{ startsWith(inputs.working-directory, 'libs/partners/') }}
         working-directory: ${{ inputs.working-directory }}
         run: |
-          uv sync --group test --group test_integration
+          poetry install --with test,test_integration
+
+      - name: Get .mypy_cache_test to speed up mypy
+        uses: actions/cache@v4
+        env:
+          SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
+        with:
+          path: |
+            ${{ env.WORKDIR }}/.mypy_cache_test
+          key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ inputs.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', inputs.working-directory)) }}
 
       - name: Analysing the code with our lint
         working-directory: ${{ inputs.working-directory }}

.github/workflows/_release.yml

@@ -21,7 +21,7 @@ on:
 
 env:
   PYTHON_VERSION: "3.11"
-  UV_FROZEN: "true"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -36,10 +36,13 @@ 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: ${{ env.PYTHON_VERSION }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: release
 
       # We want to keep this build stage *separate* from the release stage,
       # so that there's no sharing of permissions between them.
@@ -53,7 +56,7 @@ jobs:
       # > from the publish job.
       # https://github.com/pypa/gh-action-pypi-publish#non-goals
       - name: Build project for distribution
-        run: uv build
+        run: poetry build
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
@@ -64,18 +67,11 @@ jobs:
 
       - name: Check Version
         id: check-version
-        shell: python
+        shell: bash
         working-directory: ${{ inputs.working-directory }}
         run: |
-          import os
-          import tomllib
-          with open("pyproject.toml", "rb") as f:
-              data = tomllib.load(f)
-          pkg_name = data["project"]["name"]
-          version = data["project"]["version"]
-          with open(os.environ["GITHUB_OUTPUT"], "a") as f:
-              f.write(f"pkg-name={pkg_name}\n")
-              f.write(f"version={version}\n")
+          echo pkg-name="$(poetry version | cut -d ' ' -f 1)" >> $GITHUB_OUTPUT
+          echo version="$(poetry version --short)" >> $GITHUB_OUTPUT
   release-notes:
     needs:
       - build
@@ -188,11 +184,13 @@ jobs:
       # - The package is published, and it breaks on the missing dependency when
       #   used in the real world.
 
-      - name: Set up Python + uv
-        uses: "./.github/actions/uv_setup"
+      - name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_setup"
         id: setup-python
         with:
           python-version: ${{ env.PYTHON_VERSION }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: ${{ inputs.working-directory }}
 
       - uses: actions/download-artifact@v4
         with:
@@ -215,18 +213,16 @@ jobs:
         # - attempt install again after 5 seconds if it fails because there is
         #   sometimes a delay in availability on test pypi
         run: |
-          uv venv
-          VIRTUAL_ENV=.venv uv pip install dist/*.whl
+          poetry 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.
-          # also remove _official suffix
-          IMPORT_NAME="$(echo "$PKG_NAME" | sed s/-/_/g | sed s/_official//g)"
+          IMPORT_NAME="$(echo "$PKG_NAME" | sed s/-/_/g)"
 
-          uv run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))"
+          poetry run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))"
 
       - name: Import test dependencies
-        run: uv sync --group test
+        run: poetry install --with test --no-root
         working-directory: ${{ inputs.working-directory }}
 
       # Overwrite the local version of the package with the built version
@@ -237,7 +233,7 @@ jobs:
           PKG_NAME: ${{ needs.build.outputs.pkg-name }}
           VERSION: ${{ needs.build.outputs.version }}
         run: |
-          VIRTUAL_ENV=.venv uv pip install dist/*.whl
+          poetry run pip install dist/*.whl
 
       - name: Run unit tests
         run: make tests
@@ -246,15 +242,15 @@ jobs:
       - name: Check for prerelease versions
         working-directory: ${{ inputs.working-directory }}
         run: |
-          uv run python $GITHUB_WORKSPACE/.github/scripts/check_prerelease_dependencies.py pyproject.toml
+          poetry run python $GITHUB_WORKSPACE/.github/scripts/check_prerelease_dependencies.py pyproject.toml
 
       - name: Get minimum versions
         working-directory: ${{ inputs.working-directory }}
         id: min-version
         run: |
-          VIRTUAL_ENV=.venv uv pip install packaging requests
-          python_version="$(uv run python --version | awk '{print $2}')"
-          min_versions="$(uv run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml release $python_version)"
+          poetry run pip install packaging requests
+          python_version="$(poetry run python --version | awk '{print $2}')"
+          min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml release $python_version)"
           echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
           echo "min-versions=$min_versions"
 
@@ -263,12 +259,12 @@ jobs:
         env:
           MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }}
         run: |
-          VIRTUAL_ENV=.venv uv pip install --force-reinstall $MIN_VERSIONS --editable .
+          poetry run pip install --force-reinstall $MIN_VERSIONS --editable .
           make tests
         working-directory: ${{ inputs.working-directory }}
 
       - name: Import integration test dependencies
-        run: uv sync --group test --group test_integration
+        run: poetry install --with test,test_integration
         working-directory: ${{ inputs.working-directory }}
 
       - name: Run integration tests
@@ -309,7 +305,6 @@ 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 }}
 
@@ -335,10 +330,13 @@ 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: ${{ env.PYTHON_VERSION }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: release
 
       - uses: actions/download-artifact@v4
         with:
@@ -374,10 +372,13 @@ 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: ${{ env.PYTHON_VERSION }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: release
 
       - uses: actions/download-artifact@v4
         with:

.github/workflows/_test.yml

@@ -13,7 +13,7 @@ on:
         description: "Python version to use"
 
 env:
-  UV_FROZEN: "true"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -26,14 +26,17 @@ 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"
         id: setup-python
         with:
           python-version: ${{ inputs.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: core
       - name: Install dependencies
         shell: bash
-        run: uv sync --group test --dev
+        run: poetry install --with test
 
       - name: Run core tests
         shell: bash
@@ -45,9 +48,9 @@ jobs:
         id: min-version
         shell: bash
         run: |
-          VIRTUAL_ENV=.venv uv 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 $python_version)"
+          poetry run pip install packaging tomli requests
+          python_version="$(poetry run python --version | awk '{print $2}')"
+          min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml pull_request $python_version)"
           echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
           echo "min-versions=$min_versions"
 
@@ -56,7 +59,7 @@ jobs:
         env:
           MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }}
         run: |
-          VIRTUAL_ENV=.venv uv pip install $MIN_VERSIONS
+          poetry 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

@@ -18,7 +18,7 @@ on:
         description: "Pydantic version to test."
 
 env:
-  UV_FROZEN: "true"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -31,18 +31,21 @@ 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 }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: core
 
       - name: Install dependencies
         shell: bash
-        run: uv sync --group test
+        run: poetry install --with test
 
       - name: Overwrite pydantic version
         shell: bash
-        run: VIRTUAL_ENV=.venv uv pip install pydantic~=${{ inputs.pydantic-version }}
+        run: poetry run pip install pydantic~=${{ inputs.pydantic-version }}
 
       - name: Run core tests
         shell: bash

.github/workflows/_test_release.yml

@@ -14,8 +14,8 @@ on:
         description: "Release from a non-master branch (danger!)"
 
 env:
-  PYTHON_VERSION: "3.11"
-  UV_FROZEN: "true"
+  POETRY_VERSION: "1.8.4"
+  PYTHON_VERSION: "3.10"
 
 jobs:
   build:
@@ -29,10 +29,13 @@ 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: ${{ env.PYTHON_VERSION }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: release
 
       # We want to keep this build stage *separate* from the release stage,
       # so that there's no sharing of permissions between them.
@@ -46,7 +49,7 @@ jobs:
       # > from the publish job.
       # https://github.com/pypa/gh-action-pypi-publish#non-goals
       - name: Build project for distribution
-        run: uv build
+        run: poetry build
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
@@ -57,18 +60,11 @@ jobs:
 
       - name: Check Version
         id: check-version
-        shell: python
+        shell: bash
         working-directory: ${{ inputs.working-directory }}
         run: |
-          import os
-          import tomllib
-          with open("pyproject.toml", "rb") as f:
-              data = tomllib.load(f)
-          pkg_name = data["project"]["name"]
-          version = data["project"]["version"]
-          with open(os.environ["GITHUB_OUTPUT"], "a") as f:
-              f.write(f"pkg-name={pkg_name}\n")
-              f.write(f"version={version}\n")
+          echo pkg-name="$(poetry version | cut -d ' ' -f 1)" >> $GITHUB_OUTPUT
+          echo version="$(poetry version --short)" >> $GITHUB_OUTPUT
 
   publish:
     needs:

.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:
@@ -69,7 +72,7 @@ jobs:
       - name: Install dependencies
         working-directory: langchain
         run: |
-          python -m uv pip install $(ls ./libs/partners | xargs -I {} echo "./libs/partners/{}") --overrides ./docs/vercel_overrides.txt
+          python -m uv pip install $(ls ./libs/partners | xargs -I {} echo "./libs/partners/{}")
           python -m uv pip install libs/core libs/langchain libs/text-splitters libs/community libs/experimental libs/standard-tests
           python -m uv pip install -r docs/api_reference/requirements.txt
 

.github/workflows/check_diffs.yml

@@ -5,7 +5,6 @@ on:
   push:
     branches: [master]
   pull_request:
-  merge_group:
 
 # If another push to the same PR or branch happens while this workflow is still running,
 # cancel the earlier run in favor of the next run.
@@ -18,7 +17,7 @@ concurrency:
   cancel-in-progress: true
 
 env:
-  UV_FROZEN: "true"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -127,19 +126,24 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Set up Python ${{ matrix.job-configs.python-version }} + uv
-        uses: "./.github/actions/uv_setup"
+      - name: Set up Python ${{ matrix.job-configs.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ matrix.job-configs.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: ${{ matrix.job-configs.working-directory }}
+          cache-key: extended
 
-      - 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
+          echo "Running extended tests, installing dependencies with poetry..."
+          poetry install --with test
+          poetry run pip install uv
+          poetry run 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")
 
 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 }}
@@ -134,7 +117,6 @@ jobs:
           AZURE_OPENAI_LEGACY_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_LEGACY_CHAT_DEPLOYMENT_NAME }}
           AZURE_OPENAI_LLM_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_LLM_DEPLOYMENT_NAME }}
           AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME }}
-          DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
           FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
           GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
           HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}

.pre-commit-config.yaml

@@ -1,129 +0,0 @@
-repos:
-- repo: local
-  hooks:
-    - id: core
-      name: format core
-      language: system
-      entry: make -C libs/core format
-      files: ^libs/core/
-      pass_filenames: false
-    - id: community
-      name: format community
-      language: system
-      entry: make -C libs/community format
-      files: ^libs/community/
-      pass_filenames: false
-    - id: langchain
-      name: format langchain
-      language: system
-      entry: make -C libs/langchain format
-      files: ^libs/langchain/
-      pass_filenames: false
-    - id: standard-tests
-      name: format standard-tests
-      language: system
-      entry: make -C libs/standard-tests format
-      files: ^libs/standard-tests/
-      pass_filenames: false
-    - id: text-splitters
-      name: format text-splitters
-      language: system
-      entry: make -C libs/text-splitters format
-      files: ^libs/text-splitters/
-      pass_filenames: false
-    - id: anthropic
-      name: format partners/anthropic
-      language: system
-      entry: make -C libs/partners/anthropic format
-      files: ^libs/partners/anthropic/
-      pass_filenames: false
-    - id: chroma
-      name: format partners/chroma
-      language: system
-      entry: make -C libs/partners/chroma format
-      files: ^libs/partners/chroma/
-      pass_filenames: false
-    - id: couchbase
-      name: format partners/couchbase
-      language: system
-      entry: make -C libs/partners/couchbase format
-      files: ^libs/partners/couchbase/
-      pass_filenames: false
-    - id: exa
-      name: format partners/exa
-      language: system
-      entry: make -C libs/partners/exa format
-      files: ^libs/partners/exa/
-      pass_filenames: false
-    - id: fireworks
-      name: format partners/fireworks
-      language: system
-      entry: make -C libs/partners/fireworks format
-      files: ^libs/partners/fireworks/
-      pass_filenames: false
-    - id: groq
-      name: format partners/groq
-      language: system
-      entry: make -C libs/partners/groq format
-      files: ^libs/partners/groq/
-      pass_filenames: false
-    - id: huggingface
-      name: format partners/huggingface
-      language: system
-      entry: make -C libs/partners/huggingface format
-      files: ^libs/partners/huggingface/
-      pass_filenames: false
-    - id: mistralai
-      name: format partners/mistralai
-      language: system
-      entry: make -C libs/partners/mistralai format
-      files: ^libs/partners/mistralai/
-      pass_filenames: false
-    - id: nomic
-      name: format partners/nomic
-      language: system
-      entry: make -C libs/partners/nomic format
-      files: ^libs/partners/nomic/
-      pass_filenames: false
-    - id: ollama
-      name: format partners/ollama
-      language: system
-      entry: make -C libs/partners/ollama format
-      files: ^libs/partners/ollama/
-      pass_filenames: false
-    - id: openai
-      name: format partners/openai
-      language: system
-      entry: make -C libs/partners/openai format
-      files: ^libs/partners/openai/
-      pass_filenames: false
-    - id: pinecone
-      name: format partners/pinecone
-      language: system
-      entry: make -C libs/partners/pinecone format
-      files: ^libs/partners/pinecone/
-      pass_filenames: false
-    - id: prompty
-      name: format partners/prompty
-      language: system
-      entry: make -C libs/partners/prompty format
-      files: ^libs/partners/prompty/
-      pass_filenames: false
-    - id: qdrant
-      name: format partners/qdrant
-      language: system
-      entry: make -C libs/partners/qdrant format
-      files: ^libs/partners/qdrant/
-      pass_filenames: false
-    - id: voyageai
-      name: format partners/voyageai
-      language: system
-      entry: make -C libs/partners/voyageai format
-      files: ^libs/partners/voyageai/
-      pass_filenames: false
-    - id: root
-      name: format docs, cookbook
-      language: system
-      entry: make format
-      files: ^(docs|cookbook)/
-      pass_filenames: false

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

README.md

@@ -38,21 +38,18 @@ conda install langchain -c conda-forge
 
 For these applications, LangChain simplifies the entire application lifecycle:
 
-
-- **Open-source libraries**: Build your applications using LangChain's open-source
-[components](https://python.langchain.com/docs/concepts/) and
-[third-party integrations](https://python.langchain.com/docs/integrations/providers/).
+- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel), [components](https://python.langchain.com/docs/concepts/), and [third-party integrations](https://python.langchain.com/docs/integrations/providers/).
   Use [LangGraph](https://langchain-ai.github.io/langgraph/) to build stateful agents with first-class streaming and human-in-the-loop support.
 - **Productionization**: Inspect, monitor, and evaluate your apps with [LangSmith](https://docs.smith.langchain.com/) so that you can constantly optimize and deploy with confidence.
-- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Platform](https://langchain-ai.github.io/langgraph/cloud/).
+- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/).
 
 ### Open-source libraries
 
-- **`langchain-core`**: Base abstractions.
-- **Integration packages** (e.g. **`langchain-openai`**, **`langchain-anthropic`**, etc.): Important integrations have been split into lightweight packages that are co-maintained by the LangChain team and the integration developers.
+- **`langchain-core`**: Base abstractions and LangChain Expression Language.
+- **`langchain-community`**: Third party integrations.
+  - Some integrations have been further split into **partner packages** that only rely on **`langchain-core`**. Examples include **`langchain_openai`** and **`langchain_anthropic`**.
 - **`langchain`**: Chains, agents, and retrieval strategies that make up an application's cognitive architecture.
-- **`langchain-community`**: Third-party integrations that are community maintained.
-- **[LangGraph](https://langchain-ai.github.io/langgraph)**: LangGraph powers production-grade agents, trusted by Linkedin, Uber, Klarna, GitLab, and many more. Build robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. Integrates smoothly with LangChain, but can be used without it. To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available [here](https://academy.langchain.com/courses/intro-to-langgraph).
+- **[`LangGraph`](https://langchain-ai.github.io/langgraph/)**: A library for building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. Integrates smoothly with LangChain, but can be used without it. To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available [here](https://academy.langchain.com/courses/intro-to-langgraph).
 
 ### Productionization:
 
@@ -60,7 +57,7 @@ For these applications, LangChain simplifies the entire application lifecycle:
 
 ### Deployment:
 
-- **[LangGraph Platform](https://langchain-ai.github.io/langgraph/cloud/)**: Turn your LangGraph applications into production-ready APIs and Assistants.
+- **[LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/)**: Turn your LangGraph applications into production-ready APIs and Assistants.
 
 ![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](docs/static/svg/langchain_stack_112024.svg#gh-light-mode-only "LangChain Architecture Overview")
 ![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](docs/static/svg/langchain_stack_112024_dark.svg#gh-dark-mode-only "LangChain Architecture Overview")
@@ -75,7 +72,7 @@ For these applications, LangChain simplifies the entire application lifecycle:
 **🧱 Extracting structured output**
 
 - [Documentation](https://python.langchain.com/docs/tutorials/extraction/)
-- End-to-end Example: [LangChain Extract](https://github.com/langchain-ai/langchain-extract/)
+- End-to-end Example: [SQL Llama2 Template](https://github.com/langchain-ai/langchain-extract/)
 
 **🤖 Chatbots**
 
@@ -88,12 +85,19 @@ And much more! Head to the [Tutorials](https://python.langchain.com/docs/tutoria
 
 The main value props of the LangChain libraries are:
 
-1. **Components**: composable building blocks, tools and integrations for working with language models. Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not.
-2. **Easy orchestration with LangGraph**: [LangGraph](https://langchain-ai.github.io/langgraph/),
-built on top of `langchain-core`, has built-in support for [messages](https://python.langchain.com/docs/concepts/messages/), [tools](https://python.langchain.com/docs/concepts/tools/),
-and other LangChain abstractions. This makes it easy to combine components into
-production-ready applications with persistence, streaming, and other key features.
-Check out the LangChain [tutorials page](https://python.langchain.com/docs/tutorials/#orchestration) for examples.
+1. **Components**: composable building blocks, tools and integrations for working with language models. Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not
+2. **Off-the-shelf chains**: built-in assemblages of components for accomplishing higher-level tasks
+
+Off-the-shelf chains make it easy to get started. Components make it easy to customize existing chains and build new ones.
+
+## LangChain Expression Language (LCEL)
+
+LCEL is a key part of LangChain, allowing you to build and organize chains of processes in a straightforward, declarative manner. It was designed to support taking prototypes directly into production without needing to alter any code. This means you can use LCEL to set up everything from basic "prompt + LLM" setups to intricate, multi-step workflows.
+
+- **[Overview](https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel)**: LCEL and its benefits
+- **[Interface](https://python.langchain.com/docs/concepts/#runnable-interface)**: The standard Runnable interface for LCEL objects
+- **[Primitives](https://python.langchain.com/docs/how_to/#langchain-expression-language-lcel)**: More on the primitives LCEL includes
+- **[Cheatsheet](https://python.langchain.com/docs/how_to/lcel_cheatsheet/)**: Quick overview of the most common usage patterns
 
 ## Components
 
@@ -101,19 +105,15 @@ Components fall into the following **modules**:
 
 **📃 Model I/O**
 
-This includes [prompt management](https://python.langchain.com/docs/concepts/prompt_templates/)
-and a generic interface for [chat models](https://python.langchain.com/docs/concepts/chat_models/), including a consistent interface for [tool-calling](https://python.langchain.com/docs/concepts/tool_calling/) and [structured output](https://python.langchain.com/docs/concepts/structured_outputs/) across model providers.
+This includes [prompt management](https://python.langchain.com/docs/concepts/#prompt-templates), [prompt optimization](https://python.langchain.com/docs/concepts/#example-selectors), a generic interface for [chat models](https://python.langchain.com/docs/concepts/#chat-models) and [LLMs](https://python.langchain.com/docs/concepts/#llms), and common utilities for working with [model outputs](https://python.langchain.com/docs/concepts/#output-parsers).
 
 **📚 Retrieval**
 
-Retrieval Augmented Generation involves [loading data](https://python.langchain.com/docs/concepts/document_loaders/) from a variety of sources, [preparing it](https://python.langchain.com/docs/concepts/text_splitters/), then [searching over (a.k.a. retrieving from)](https://python.langchain.com/docs/concepts/retrievers/) it for use in the generation step.
+Retrieval Augmented Generation involves [loading data](https://python.langchain.com/docs/concepts/#document-loaders) from a variety of sources, [preparing it](https://python.langchain.com/docs/concepts/#text-splitters), then [searching over (a.k.a. retrieving from)](https://python.langchain.com/docs/concepts/#retrievers) it for use in the generation step.
 
 **🤖 Agents**
 
-Agents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. [LangGraph](https://langchain-ai.github.io/langgraph/) makes it easy to use
-LangChain components to build both [custom](https://langchain-ai.github.io/langgraph/tutorials/)
-and [built-in](https://langchain-ai.github.io/langgraph/how-tos/create-react-agent/)
-LLM agents.
+Agents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. LangChain provides a [standard interface for agents](https://python.langchain.com/docs/concepts/#agents), along with [LangGraph](https://github.com/langchain-ai/langgraph) for building custom agents.
 
 ## 📖 Documentation
 

cookbook/README.md

@@ -50,7 +50,7 @@ Notebook | Description
 [press_releases.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/press_releases.ipynb) | Retrieve and query company press release data powered by [Kay.ai](https://kay.ai).
 [program_aided_language_model.i...](https://github.com/langchain-ai/langchain/tree/master/cookbook/program_aided_language_model.ipynb) | Implement program-aided language models as described in the provided research paper.
 [qa_citations.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/qa_citations.ipynb) | Different ways to get a model to cite its sources.
-[rag_upstage_document_parse_groundedness_check.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/rag_upstage_document_parse_groundedness_check.ipynb) | End-to-end RAG example using Upstage Document Parse and Groundedness Check.
+[rag_upstage_layout_analysis_groundedness_check.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/rag_upstage_layout_analysis_groundedness_check.ipynb) | End-to-end RAG example using Upstage Layout Analysis and Groundedness Check.
 [retrieval_in_sql.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/retrieval_in_sql.ipynb) | Perform retrieval-augmented-generation (rag) on a PostgreSQL database using pgvector.
 [sales_agent_with_context.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/sales_agent_with_context.ipynb) | Implement a context-aware ai sales agent, salesgpt, that can have natural sales conversations, interact with other systems, and use a product knowledge base to discuss a company's offerings.
 [self_query_hotel_search.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/self_query_hotel_search.ipynb) | Build a hotel room search feature with self-querying retrieval, using a specific hotel recommendation dataset.

cookbook/anthropic_structured_outputs.ipynb

@@ -31,8 +31,8 @@
    "source": [
     "# Optional\n",
     "import os\n",
-    "# os.environ['LANGSMITH_TRACING'] = 'true' # enables tracing\n",
-    "# os.environ['LANGSMITH_API_KEY'] = <your-api-key>"
+    "# os.environ['LANGCHAIN_TRACING_V2'] = 'true' # enables tracing\n",
+    "# os.environ['LANGCHAIN_API_KEY'] = <your-api-key>"
    ]
   },
   {

cookbook/local_rag_agents_intel_cpu.ipynb

@@ -86,15 +86,15 @@
     "\n",
     "Environment Variables:\n",
     "- USER_AGENT: Specifies the user agent string to be used.\n",
-    "- LANGSMITH_TRACING: Enables or disables tracing for LangChain.\n",
-    "- LANGSMITH_API_KEY: API key for accessing LangChain services.\n",
+    "- LANGCHAIN_TRACING_V2: Enables or disables tracing for LangChain.\n",
+    "- LANGCHAIN_API_KEY: API key for accessing LangChain services.\n",
     "- TAVILY_API_KEY: API key for accessing Tavily services.\n",
     "\"\"\"\n",
     "import os\n",
     "\n",
     "os.environ[\"USER_AGENT\"] = \"myagent\"\n",
-    "os.environ[\"LANGSMITH_TRACING\"] = \"true\"\n",
-    "os.environ[\"LANGSMITH_API_KEY\"] = \"xxxx\"\n",
+    "os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
+    "os.environ[\"LANGCHAIN_API_KEY\"] = \"xxxx\"\n",
     "os.environ[\"TAVILY_API_KEY\"] = \"tvly-xxxx\""
    ]
   },

cookbook/mongodb-langchain-cache-memory.ipynb

@@ -124,8 +124,8 @@
     "# Optional-- If you want to enable Langsmith -- good for debugging\n",
     "import os\n",
     "\n",
-    "os.environ[\"LANGSMITH_TRACING\"] = \"true\"\n",
-    "os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass()"
+    "os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
+    "os.environ[\"LANGCHAIN_API_KEY\"] = getpass.getpass()"
    ]
   },
   {
@@ -156,7 +156,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Ensure you have an HF_TOKEN in your development environment:\n",
+    "# Ensure you have an HF_TOKEN in your development enviornment:\n",
     "# access tokens can be created or copied from the Hugging Face platform (https://huggingface.co/docs/hub/en/security-tokens)\n",
     "\n",
     "# Load MongoDB's embedded_movies dataset from Hugging Face\n",

cookbook/nomic_embedding_rag.ipynb

@@ -71,9 +71,9 @@
     "# Optional: LangSmith API keys\n",
     "import os\n",
     "\n",
-    "os.environ[\"LANGSMITH_TRACING\"] = \"true\"\n",
-    "os.environ[\"LANGSMITH_ENDPOINT\"] = \"https://api.smith.langchain.com\"\n",
-    "os.environ[\"LANGSMITH_API_KEY\"] = \"api_key\""
+    "os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
+    "os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.smith.langchain.com\"\n",
+    "os.environ[\"LANGCHAIN_API_KEY\"] = \"api_key\""
    ]
   },
   {

cookbook/optimization.ipynb

@@ -29,7 +29,7 @@
    "source": [
     "import os\n",
     "\n",
-    "os.environ[\"LANGSMITH_PROJECT\"] = \"movie-qa\""
+    "os.environ[\"LANGCHAIN_PROJECT\"] = \"movie-qa\""
    ]
   },
   {

cookbook/rag_upstage_layout_analysis_groundedness_check.ipynb

@@ -4,8 +4,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# RAG using Upstage Document Parse and Groundedness Check\n",
-    "This example illustrates RAG using [Upstage](https://python.langchain.com/docs/integrations/providers/upstage/) Document Parse and Groundedness Check."
+    "# RAG using Upstage Layout Analysis and Groundedness Check\n",
+    "This example illustrates RAG using [Upstage](https://python.langchain.com/docs/integrations/providers/upstage/) Layout Analysis and Groundedness Check."
    ]
   },
   {
@@ -23,16 +23,16 @@
     "from langchain_core.runnables.base import RunnableSerializable\n",
     "from langchain_upstage import (\n",
     "    ChatUpstage,\n",
-    "    UpstageDocumentParseLoader,\n",
     "    UpstageEmbeddings,\n",
     "    UpstageGroundednessCheck,\n",
+    "    UpstageLayoutAnalysisLoader,\n",
     ")\n",
     "\n",
     "model = ChatUpstage()\n",
     "\n",
     "files = [\"/PATH/TO/YOUR/FILE.pdf\", \"/PATH/TO/YOUR/FILE2.pdf\"]\n",
     "\n",
-    "loader = UpstageDocumentParseLoader(file_path=files, split=\"element\")\n",
+    "loader = UpstageLayoutAnalysisLoader(file_path=files, split=\"element\")\n",
     "\n",
     "docs = loader.load()\n",
     "\n",

cookbook/wikibase_agent.ipynb

@@ -144,8 +144,8 @@
    "outputs": [],
    "source": [
     "# import os\n",
-    "# os.environ[\"LANGSMITH_TRACING\"] = \"true\"\n",
-    "# os.environ[\"LANGSMITH_PROJECT\"] = \"default\" # Make sure this session actually exists."
+    "# os.environ[\"LANGCHAIN_HANDLER\"] = \"langchain\"\n",
+    "# os.environ[\"LANGCHAIN_SESSION\"] = \"default\" # Make sure this session actually exists."
    ]
   },
   {

docs/Makefile

@@ -13,21 +13,28 @@ OUTPUT_NEW_DOCS_DIR = $(OUTPUT_NEW_DIR)/docs
 
 PYTHON = .venv/bin/python
 
+PARTNER_DEPS_LIST := $(shell find ../libs/partners -mindepth 1 -maxdepth 1 -type d -exec sh -c ' \
+for dir; do \
+    if find "$$dir" -maxdepth 1 -type f \( -name "pyproject.toml" -o -name "setup.py" \) | grep -q .; then \
+        echo "$$dir"; \
+    fi \
+done' sh {} + | grep -vE "airbyte|ibm|databricks" | tr '\n' ' ')
+
 PORT ?= 3001
 
 clean:
 	rm -rf build
 
 install-vercel-deps:
-	yum -y -q update
-	yum -y -q install gcc bzip2-devel libffi-devel zlib-devel wget tar gzip rsync -y
+	yum -y update
+	yum install gcc bzip2-devel libffi-devel zlib-devel wget tar gzip rsync -y
 
 install-py-deps:
 	python3 -m venv .venv
-	$(PYTHON) -m pip install -q --upgrade pip
-	$(PYTHON) -m pip install -q --upgrade uv
-	$(PYTHON) -m uv pip install -q --pre -r vercel_requirements.txt
-	$(PYTHON) -m uv pip install -q --pre $$($(PYTHON) scripts/partner_deps_list.py) --overrides vercel_overrides.txt
+	$(PYTHON) -m pip install --upgrade pip
+	$(PYTHON) -m pip install --upgrade uv
+	$(PYTHON) -m uv pip install --pre -r vercel_requirements.txt
+	$(PYTHON) -m uv pip install --pre --editable $(PARTNER_DEPS_LIST)
 
 generate-files:
 	mkdir -p $(INTERMEDIATE_DIR)
@@ -53,7 +60,6 @@ copy-infra:
 	cp package.json $(OUTPUT_NEW_DIR)
 	cp sidebars.js $(OUTPUT_NEW_DIR)
 	cp -r static $(OUTPUT_NEW_DIR)
-	cp -r ../libs/cli/langchain_cli/integration_template $(OUTPUT_NEW_DIR)/src/theme
 	cp yarn.lock $(OUTPUT_NEW_DIR)
 
 render:
@@ -75,7 +81,6 @@ build: install-py-deps generate-files copy-infra render md-sync append-related
 vercel-build: install-vercel-deps build generate-references
 	rm -rf docs
 	mv $(OUTPUT_NEW_DOCS_DIR) docs
-	cp -r ../libs/cli/langchain_cli/integration_template src/theme
 	rm -rf build
 	mkdir static/api_reference
 	git clone --depth=1 https://github.com/langchain-ai/langchain-api-docs-html.git

docs/api_reference/_static/css/custom.css

@@ -94,7 +94,7 @@ html {
  * https://sass-lang.com/documentation/interpolation
  */
 /* Defaults to light mode if data-theme is not set */
-html:not([data-theme]), html[data-theme=light] {
+html:not([data-theme]) {
   --pst-color-primary: #287977;
   --pst-color-primary-bg: #80D6D3;
   --pst-color-secondary: #6F3AED;
@@ -124,8 +124,58 @@ html:not([data-theme]), html[data-theme=light] {
   --pst-color-on-background: #F4F9F8;
   --pst-color-surface: #F4F9F8;
   --pst-color-on-surface: #222832;
-  --pst-color-deprecated: #f47d2e;
-  --pst-color-deprecated-bg: #fff3e8;
+}
+html:not([data-theme]) {
+  --pst-color-link: var(--pst-color-primary);
+  --pst-color-link-hover: var(--pst-color-secondary);
+}
+html:not([data-theme]) .only-dark,
+html:not([data-theme]) .only-dark ~ figcaption {
+  display: none !important;
+}
+
+/* NOTE: @each {...} is like a for-loop
+ * https://sass-lang.com/documentation/at-rules/control/each
+ */
+html[data-theme=light] {
+  --pst-color-primary: #287977;
+  --pst-color-primary-bg: #80D6D3;
+  --pst-color-secondary: #6F3AED;
+  --pst-color-secondary-bg: #DAD6FE;
+  --pst-color-accent: #c132af;
+  --pst-color-accent-bg: #f8dff5;
+  --pst-color-info: #276be9;
+  --pst-color-info-bg: #dce7fc;
+  --pst-color-warning: #f66a0a;
+  --pst-color-warning-bg: #f8e3d0;
+  --pst-color-success: #00843f;
+  --pst-color-success-bg: #d6ece1;
+  --pst-color-attention: var(--pst-color-warning);
+  --pst-color-attention-bg: var(--pst-color-warning-bg);
+  --pst-color-danger: #d72d47;
+  --pst-color-danger-bg: #f9e1e4;
+  --pst-color-text-base: #222832;
+  --pst-color-text-muted: #48566b;
+  --pst-color-heading-color: #ffffff;
+  --pst-color-shadow: rgba(0, 0, 0, 0.1);
+  --pst-color-border: #d1d5da;
+  --pst-color-border-muted: rgba(23, 23, 26, 0.2);
+  --pst-color-inline-code: #912583;
+  --pst-color-inline-code-links: #246161;
+  --pst-color-target: #f3cf95;
+  --pst-color-background: #ffffff;
+  --pst-color-on-background: #F4F9F8;
+  --pst-color-surface: #F4F9F8;
+  --pst-color-on-surface: #222832;
+  color-scheme: light;
+}
+html[data-theme=light] {
+  --pst-color-link: var(--pst-color-primary);
+  --pst-color-link-hover: var(--pst-color-secondary);
+}
+html[data-theme=light] .only-dark,
+html[data-theme=light] .only-dark ~ figcaption {
+  display: none !important;
 }
 
 html[data-theme=dark] {
@@ -158,8 +208,6 @@ html[data-theme=dark] {
   --pst-color-on-background: #222832;
   --pst-color-surface: #29313d;
   --pst-color-on-surface: #f3f4f5;
-  --pst-color-deprecated: #b46f3e;
-  --pst-color-deprecated-bg: #341906;
   /* Adjust images in dark mode (unless they have class .only-dark or
    * .dark-light, in which case assume they're already optimized for dark
    * mode).
@@ -170,30 +218,6 @@ html[data-theme=dark] {
   */
   color-scheme: dark;
 }
-
-html:not([data-theme]) {
-  --pst-color-link: var(--pst-color-primary);
-  --pst-color-link-hover: var(--pst-color-secondary);
-}
-html:not([data-theme]) .only-dark,
-html:not([data-theme]) .only-dark ~ figcaption {
-  display: none !important;
-}
-
-/* NOTE: @each {...} is like a for-loop
- * https://sass-lang.com/documentation/at-rules/control/each
- */
-html[data-theme=light] {
-  color-scheme: light;
-}
-html[data-theme=light] {
-  --pst-color-link: var(--pst-color-primary);
-  --pst-color-link-hover: var(--pst-color-secondary);
-}
-html[data-theme=light] .only-dark,
-html[data-theme=light] .only-dark ~ figcaption {
-  display: none !important;
-}
 html[data-theme=dark] {
   --pst-color-link: var(--pst-color-primary);
   --pst-color-link-hover: var(--pst-color-secondary);
@@ -368,12 +392,12 @@ div.deprecated {
   margin-top: 0.5em;
   margin-bottom: 2em;
 
-  background-color: var(--pst-color-deprecated-bg);
-  border-color: var(--pst-color-deprecated);
+  background-color: var(--pst-color-info-bg);
+  border-color: var(--pst-color-info);
 }
 
 span.versionmodified.deprecated:before {
-  color: var(--pst-color-deprecated);
+  color: var(--pst-color-info);
 }
 
 .admonition-beta.admonition, div.admonition-beta.admonition {

docs/api_reference/conf.py

@@ -87,18 +87,6 @@ class Beta(BaseAdmonition):
 def setup(app):
     app.add_directive("example_links", ExampleLinksDirective)
     app.add_directive("beta", Beta)
-    app.connect("autodoc-skip-member", skip_private_members)
-
-
-def skip_private_members(app, what, name, obj, skip, options):
-    if skip:
-        return True
-    if hasattr(obj, "__doc__") and obj.__doc__ and ":private:" in obj.__doc__:
-        return True
-    if name == "__init__" and obj.__objclass__ is object:
-        # dont document default init
-        return True
-    return None
 
 
 # -- Project information -----------------------------------------------------
@@ -128,7 +116,6 @@ extensions = [
     "_extensions.gallery_directive",
     "sphinx_design",
     "sphinx_copybutton",
-    "sphinxcontrib.googleanalytics",
 ]
 source_suffix = [".rst", ".md"]
 
@@ -268,8 +255,6 @@ html_show_sourcelink = False
 # Set canonical URL from the Read the Docs Domain
 html_baseurl = os.environ.get("READTHEDOCS_CANONICAL_URL", "")
 
-googleanalytics_id = "G-9B66JQQH2F"
-
 # Tell Jinja2 templates the build is running on Read the Docs
 if os.environ.get("READTHEDOCS", "") == "True":
     html_context["READTHEDOCS"] = True

docs/api_reference/create_api_rst.py

@@ -72,21 +72,14 @@ def _load_module_members(module_path: str, namespace: str) -> ModuleMembers:
     Returns:
         list: A list of loaded module objects.
     """
-
     classes_: List[ClassInfo] = []
     functions: List[FunctionInfo] = []
     module = importlib.import_module(module_path)
-
-    if ":private:" in (module.__doc__ or ""):
-        return ModuleMembers(classes_=[], functions=[])
-
     for name, type_ in inspect.getmembers(module):
         if not hasattr(type_, "__module__"):
             continue
         if type_.__module__ != module_path:
             continue
-        if ":private:" in (type_.__doc__ or ""):
-            continue
 
         if inspect.isclass(type_):
             # The type of the class is used to select a template
@@ -528,12 +521,7 @@ 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/api_reference/requirements.txt

@@ -9,4 +9,3 @@ pyyaml
 sphinx-design
 sphinx-copybutton
 beautifulsoup4
-sphinxcontrib-googleanalytics

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_07f0c872-6b6c-4fed-a129-9b5a858505be.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/chat_token_usage_tracking_0b1523d8-127e-4314-82fa-bd97aca37f9a.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/chat_token_usage_tracking_1837c807-136a-49d8-9c33-060e58dc16d2.msgpack.zlib

@@ -1 +1 @@
-eNrtVU9v3EQUV4/c+AiutxKXzNpjr+3dlRBKWrUpTUkKgfCnaPU887Lrrj1jZsZpNiEHAhJctx+hiRIUVdALR245cOALhE/DzGY3CALiwKUSPdjWvHnz5r3fe7+fD093UOlCihsvCmFQATN2oZ8dnir8okFtvjmp0IwkP95Y/2DzqFHFxcbImFr3gyBHriQbE9UIU1TYbjRB0IbQNlSwJwU81W0mq6CSHMsAhBkpWReszUpoOJKdKCjEjhzjcS755OLLff/KZTBPyu97/uKWKIxiEiYkpv6S51eoNQxRW4/P9n0lS3S+jUbldpm0tQjjTJtYll6FHnhP7FX+wefuMOwOjF0Jd5yGUefgdITA7Z3fniwzhrWZnr8JdV0WDBwcwRMtxYvbl0HJ5qTGv9k/+9BeTpaH1mV6/mxFGhkHtB2nbRp7FQ+cgUmFrYWtgSBqh57UQQVM6lYUt1O7tq6g2KgFqko7XgliGNQT2wDRits0anedQz0pqrps3d6YbXhsexgoNGpCHNKtEofAJt7iwkUSZx+T5WqP3AHjsrdoJmEUJpv2SZPepz+B3dN8TFxLLqsiBZ+e30qjvMtitk26OaWkk3YY6fXyjAANgQIkEKfbPy4Oz2dmev4GGINVbd6mPyxgW0MxNKPpEY063yvUtZ0y/PpEGzCNPjxmNvNffzmdt/X5+oNFR767uDlLXJCV+SDc/yPDNVuMYJPpUS+lx7PKft5CvuSFiXcXc88VaV/9JOuHoXfv4ea1WOuNqRvbUjcM5La0gzx9HmXXco7D9MzaBM7YMT0bI9YEymIHL7xr2V0LSOOXuwSc0/uX+Nzn04tbYZpF0LVIctpNSCfKYtIDYATCBLpJTHudlP955l7+deRmxPnKYqgKMfztRrTvF9zv+5UeDnKuxoOQpqvvPVp9KuTK+JO1ZDt/1L3X7O1aAvnGBnSul3hbwyWFfNC6sD2x3FnyZ7y1tjlf7bRa4xW1LO3mQQzuOvfZp++vosK3tOWbLspyMmNd33ssHoutERiPS28iG4+BZSXY1dCrYFiwAsQ73rId99wqEHD34VLddHT1tZH1QFllcXrgo+AD0yjhzze0g1Qwm4doynLJSoCrp2+hcI24ojmNl3w5a/aVKcoODl7L3P9H5rIw/GeZyyFCyhIgeZZHpJOnnEDUoyRmSZhsdzLOu/RVkLn4X2SOvmoyB0jRYhESlqH9f8S8Q/JeRkkCFDEOwxCz6D/L3GoPa3V3vDfZqfDBR+8+3E3k1p3ktcwtZO535liL9g==
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

docs/cassettes/chat_token_usage_tracking_67117f2b-ce68-4c1e-9556-2d3849f90e1b.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/chat_token_usage_tracking_9c82ff80-ec4e-4049-b019-5f0bbd7df82a.msgpack.zlib

@@ -1 +1 @@
-eNptU39oG1Ucz5g/NqeuTFFEZPGcyrQvubRJf4QJdklrZ9cfayNbJ7O8vHvJ3XJ573r3LjbtZm2nICvIHgiDwQbaNKlZ3VLdrNP4g3VCtWX/+IuhiOCcSnX+IaIrjvqaJrWlO7jj3ff35/v5vMFMApuWRsmaMY0wbELExI/FBzMm7raxxV5KxzFTqZJqa+0IDdumdulhlTHD8rvd0NBckDDVpIaGXIjG3QmPO44tC0axlQpTJXlJ6ZPisKeL0RgmluT3yBXecqkUIvmf7ZNMqmPJL9kWNqVyCVExBGHCoGJdp9LBfSKcKlgXFqRDW8GgEqhQi9mgQtSSK+Vq6WBGxVARKL53lKVUajE+vmqy0xAhbDCACaKKRqL8rWivZpQ7FRzRIcNZ0ZfgAnSejWFsAKhrCZxezOI5aBi6huCC373fomSsOCdgSQOvdmcX0AABkTA+UVeaw92WFIskTtnl9bkqcj3AYlAjulgG0KEYKW0U/B8sdxgQxUQdUCSJpxeTTy2PoRYfaYaotWNFSWgilY9AM17lfWe53bQJ0+KYZwJtq9sVnf+3q3R5Klw14ysKW0mC+EgE6hYeX1ryUkpW8FIJ5CogeyZWlMbMTAJERQf+unyqtEAdkyhT+bBHlkdNbBlCe/hQWqQx2xpMCbLwzFSmKJg3WptKVA+lgoI2/uFurJQ7ZZ+zAYedorFPfPy+Kr/X63yqOTQWKDYJ3ZCl8ZAJiRURTNWXVJFBqk1iWMkGbqiHbPFOAE3heXHukj3V1buNnb5wc4tqqI17O3e172nE6vPDCQ3yrMflcUYpjer4NIoABJGKwSIyngl2ttQ17wiM7QHtNEyZBUIwylOEEpzuwKZYJs8indqKkKeJ04EG0F7Xyc/UyooPRWQIw0ptTQTVgu2C9RLKJRSpBW0X7t+A2KQpTBf+2Ty0zlF41op3fl55ta5p8smyl+c/9/98R+rNL9++l549MfIox989cOzI7zuPHa9vmuo/GtpwOHPrH30H8uvfX3dny7VfZr+abri29erc3+9u/HbyyoFXPMGbN/Tep3buutizJSc/vfe2mXPTh/N6y6atA4eO5ILZr58Z2teVTZOrs/Z1xz2DuU2Pv/fNr5HQXH7uqJHLvHb54m8/Td6k/Kl/dP2K9OloML/t/L+RB0/e/sKWmfM/vFjTCx6a3DjFXBcGPune8dn2c88l7mLb7v7rsSe6b5k4WyafuTzZOHo8Nz89e//m9T/2P1LfX30ycuLjAry1ji/M0P6mNQ7Hf3JxBh0=
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

docs/cassettes/chat_token_usage_tracking_b04a4486-72fd-48ce-8f9e-5d281b441195.msgpack.zlib

@@ -1 +1 @@
-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

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

@@ -1 +1 @@
-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
+eNqdVX1sE2UYLxKMhCCQgCQMYtOgENi1d71rr90sOtptbKxrt3ZsSGC53r3XO3Zfu7t27QgmFDHIR8jxEUQEhG2tzrGxjIzPoUhAEwhGgh9DYySgYBAUJWiMiG+7TrbAX94fvb7P87zPx+/3PM+lMnGgarwsjeniJR2oFK3Dg2akMipojgFNfz0tAp2TmfZgIBRui6n84DxO1xWtyGajFN4qK0CieCsti7Y4ZqM5SrfB/4oAcm7aIzKTHEyusohA06go0CxF5mWrLLQMQ0k6PFg4IAiypdBsUWUBZAUxDaiW1cuhRJQZIGRFUUVHCBkReYnPWkpQhsG3pquAEuGBpQQNQIEORAVWoMfUrCfUSq7OcIBiYH1b2jlZ043u0Rn3UDQNoG8g0TLDS1HjYLSVVwrNDGAFSgedME0J5PAwOpsAUBBK4OMgPXTLOEQpisDTVFZvW6nJUle+LERPKuBxdWe2MgSCIOnG4QBMoqTCFkxCaCUzZiVcVvRQAtF0ipcEiBUiUDCftJLTnxipUCi6CTpB8rQZ6aHL3SNtZM3o8FN0IDTKJaXSnNFBqaKT6BspV2OSzovAyHiDj4fLKx+Fw60YZiV7RznWkhJtdORoODLqMtDVJELL0IexH+0exkcAUlTnjDbMjr2nAk2BjQLWpuE1Paal2iEX4MKnmXzHHAgsHibxO9P0dh/kxRgIc7FCM0aaA7RutqN2wowRRai9CLOby/3hLm8+TPiJNPSGVUrSWEhF6TDtGZqLSU2A6fQ+kfCBLOGwmmz6sEsRkFBkDSD5rIyuBqR2aFSQCl/fUHchshqlJL41F9YYyDHf0ppoYegYw3DxFhF1txI4HwExmj2cv6KocjYMTAgRNaONxN3dec0w9p2wVhTBUATFjicQ2OhA4EUe4pn7zc+rZrQ7UBQ9+riBLjcBONkZAs09p0ZaqECEpGVjP3JDuN3uk082GnaFQxO3a3Q2kFEwMhvMLmpHHzfIuziAal2JYWuEZ4zB2fDQaCcdLpeLwFw4g7pQ2oUTJOliWUAwJOF2kI5jcPh5GnrJkqnIqo5ogIbLSU8ag4UilcjOmQfHHLgTVlps5iVaiDEgFIv45GwNWrFZUYEgU0yPtwzxUjQHkFCu/4yMb2l1ib/C2xmCSXpluYkHW6+MGdvYSLONEdFT6yYW4aSjpMXN+BIEGqeCZWVJ1hkng6iIEaUqXssHpMV6WfUSP4KRdjdG4iRuRzArasWsGGLFytiwO1wW9enJZB0XXlJtb11cLzBcXXNlq19UiIaAXreYddcnIiAYXxgt18sX+psjammEbeJRP+MPNVeGHRGnxFU0VCXCFbV1rY0NLbAaSuc8tmIz7E0e4uvJTwgCJwQZmg98eD6KzUwOA4919DYsNi+Cez0gCclicygLJoBvSgQhXgeealkCg9shBrE4z3gIR52vPlFSqsUDZNiHVXm9lWrUEUIj5T5ncJFDYexkEy8Gy2v8dSNAIF0uBM3j4EQJV64LH6X+P7Pqb0BGDjwSUIY+YBlJ1iSeZdMhoMIBMjppQY4xcLGrIA05ry1Zahx2MQTK4DjqdjlQF+tkkYVwZQ57+289tGe/ChlKgD0Wp40+DvdYiggCtxSbRcrjcsJxyn3m1qSzPSlFz47Rnt/4jCn3jBVqzlefQSefvDH/uX0Fl2cfvHQ/9cqOudPWjyUnb9jUV1E1q6d3Vsm6v36Zu8VZqtyl2GicfTDLhO7qm4bWNNtWtn186/aDM+W/Uf2bE69d6fmq/+sFF2V/6sTus5v8r44bGGj7tfyLjnevzL23VQ9M2PgtfWtGx1175TbizeID6Zl18+dvnhSd+mXteXTvuT7l7Tc+jwTrZ48r6k/tNJm+P7Hqm3eKPrH1p366vv7yzZk242C113Rh68op5/Zsu6jdHmRmj+O3HN94qqTj5lPOe+NTTUfXrjCtWvlR6OIf9TcWbiy9lihYQVZO/PPqdl8NXzhwbM3LV9ddvlS3q/TOoiPL9sw5U3R/sulkfPPuxhfe6g0X7Ete2S9NnD5QUPDZS+r5Nb9fPzbj6tw9f1/b8cPNY+E7P6+oUmqoBfMyp5f2fjj/Yd/N8xXL/2ke//ScH+9fpPdMq93Jbd7xYNLUF5dduIFtSKamTHj29CSI7sOHY00f7K16f8tTJtO/AQ5vFA==

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

@@ -1 +1 @@
-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

docs/cassettes/classification_0bdfcb05.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/classification_1c12fa00.msgpack.zlib

@@ -1 +1 @@
-eNp1VmtsFNcVhtI2gTwK+QFtScJ4FYk09qx3d2bXu3ZNY6+NMcSssY0fNGR1d+bOztjzYh7rXYytxoGKKKAwAvGjLUooxotcYl5OGmJsQlQgNKAWqjY1SYjUqs3DahBN0ypJBT13do13BR1pd+7ce+73ffecc8+9g9kUNkxJU+cellQLG4iz4MN0BrMG3mRj09o6rGBL1Pih5lhr2wHbkKaeEC1LNyvLy5EueTUdq0jycppSnvKXcyKyyqGty9iFGUpofObqNxf0eRRsmiiJTU8l9eM+D6cBl2rBh+dplco/9WmL0FOWiCkem5KBeUpSBc1QEAGjBENT3EFBk2WtV1KTlI5cVO8syGwrpsoZChdg6gaINSwJm5QC5ADpErhjy6MyQEmCxLlcyynBVl1P3BW6OUdbWaDdtLQMpdjAqGrdiNcoWCKV0swSqg3DO0MhikcGZdnAbWBO4rWS2dmeMspjaDIm/rBNbHj6N0KPovFYJl1J3aJZjVYkVXItsamDb3E85xqw6PNYGd2d3W1qatzkRKwgYlr4ScwKmrPeyI0Qjyi5mPR5sGorJFIeEel6hiCp2AZPyqRpIt5D9FmSlZPcensu6c0rMS0DIuTphy6UTIJmU0phFV4uAcSXMySdeJgY5z4TEBlR66Vm7d3YmBayMIGnJLPM7RGlpIgNtwlCE/mmohm4YC4RM7MOfxkVKKOYMooto4JF2muKtRUsgGyHJIkF9MlITdoQ8WLnmDpSJVPMESXlfFMwsMq5LZitIJW0JAvJEjSLqJ+aAb2L1/rdOG+yySbIcRX6GN0h+rbAIobipC7k0RLdmMth8bxERpHcXJgRApJNTFSoSPk/WEQrR/LFMmzsKoYejJSZ2YQOKwCJLNsgGD6vrz8rYsRDxbk2Z9GQqJmWM1pcRY4gjsOQ7+BDjQdXOK8kN0t6GRQEQYY0GIFtpWJ3ZzojPRjrNDg2hYdzs5yjkK5yXmI5Sf7D+UpDk4XfOTxCdhsNflMtZywGImoay5szUO5Uyu8NRrzBo2ka0k9SZfAzTZzsDOvu+HjhgI64HgCh86XUGc5NHi200UznYBPiYq1FkMjgROcgMpQQe6Kw37DdcDvZaPOddPnBWTrG6/d7K44VAZsZlXMOuoE4WTggYhlCQueKujOewBbykrLtLSjbXh0ZJv51ESe2jAzNaUDt7PcNc5rWI2Fn6p/xOCfEE0p1rFVp6F7dE43jyBqzt9deH/OHO+01ze0NyVRylRc1d66TGrHC1PU00v4KJsQGWYYJ0H6vz+v3+uneYCebkNtbOjolpbch7mOVDUootT7ULjY1xbrXZ+zOdLRJlaPpdm9MZFR/KFHXYcTi8Ujzhtae4Iaeuvr2Fn+yXaxYneRqWwU+UrOSqVhXRYE6OyXx1ZssuSWthFfXWPVWikkIWiCe0teip+pTTTFfVyKGhDYuanVJTLqmQF4gxNC+vMKQjw37yDM6k1IybHpLdIb8PoY9NFOUnxsm5co2B4cgf/HFt7P5g++XsTWzqb94qA5y2ZloE+0yyhehViOVCvgCQfirDAQrGYZqaGo7HM3ztN01dY+1GUg1BQhl/cxWyXKirfZgfiR6100yQTYJhJLoh9OGxmldMzGdV+Uc7qRbckc+3Vh3Ircjac1IQo3b7NI6E+5u6d2c7uU5m+fFVK/ii2xmGSjcNieM5afAwUJoQBCtmOAdJuAfzQ/NJOwILNZH+320z/9Gmob6gGVJkcCj7n/+4gFzg+Du1+80sLQeDFeULOvGwzdZaGHA+QbnJJDPwrCRSOTU3Y1moBgwifgjbxRbmbhQjT+gmK/faZCHOOBXzMPpGXNa4p2px+AjHk6EwgEmEuaCHMuGgkIwyGJIJRxhMR8KMuhkrozSFgmnrhkWbWIOrllWxpkqU1CaVKdqxh9kQrDUKrivcLLN41Y7UaeRRZhVcK/Bsob4I9GVdBTBAU+3uhnoZOu61tY0NUZf66QLU4mO6bkrXlbVTFUShOFWbEBknBFO1mweyqyBhwGrpabLGQsLQkUgzIQFJCQivmAFXQsFbAbtduINkRqdRTJoT3HOCZGp9lSyLOOpohRUHQ5BnNyL4LPDuePt7NxfLXvh3jnuMw9+t27taDnT/b5v4cTXpb/5xT+OT9snln5YO//ZrVuvTSfGrvy5vXRNLeN94J2bfccmuqrYbc9Yae3aXye+t++hkjfFx791aO3xT5+79NnDp3dNv/bi+f1Tpwcy4R9+cHbt9c+++MPn73Ssatj2o5tPntVGYr/9zxnP0uvChvo9Ow5Mp06P/2DFkvGNKxZNvCs2dC0Nl27509Lk8S27l0wJLynfWWJ/tLN2sGXLmq0L/8JOcGuzNyr2JHZPllQ/dGHx/lMPzp97+b1Fcxv57Qe5VUtaMuc/Hv44u+DeR37+6CMdze1PtnTsaqfeC3mcL7c9+PwTj78w9o3SjVVvL/7oArVv/+jg51erEsyuh78+eebqfQOTP3118oHLyz55K37j3I5n7LrGazvPbO//yfPVy2u3vLQ3cGp6fslXK/RLN5dX/uzfT18cOPp+4uyj3sf69qa2ffj3T+4ZeHXl3nNXul95eejT5vIrf/u28ftzR7bzf/zqOrss87tLO3tunR8o2fPWm4emF65b+sXkjcDiTf8dufX9cTWz4P5/rd7R/8F3303cf/nisoPz7d2l+5ap6n3zL0S+nEciMm+OvFu+GoL2/wCPq5n8
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

docs/cassettes/classification_5509b6a6.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/classification_9154474c.msgpack.zlib

@@ -1 +1 @@
-eNp1Vg1sFMcVJjVqEgJKUimkKUVdX12hIu959/7PxqrMHeCf2Gf7zq7tgpzx7uzt+nZ31ruzPp+RGxXSBpUEslLTNK0SCrbvKtd1wFCSGONKSSoFCUdCEIqLSERLUAONKJSoSCGhs3tnfJadle5n5735vjffe/NmduX6oW5ISH1gXFIx1AGHyYth7crpsM+EBn4uq0AsIn6kORZPDJu6NLdRxFgzKisqgCa5kQZVILk5pFT0sxWcCHAF+a/J0IEZ6UF85u8lsztdCjQMkISGq5L6yU4XhwiXismLa7tKFZ4tA9imp7AIKR4akg55SlIFpCvABqMEHSmOUUCyjNKSmqQ04KC6F0AW/sVUOUPBIkxNJ8HqWIIGpRByAukQOLYNEZlASYLEOVwbKMFUHSWWhW7O01YWxW5glKEUkzCqqBfwiCJLpPqRUUolIPnNUIDigU5hk3DrkJN4VLow21VOuXQkQ1sP04C6a2gHGVEQD2V7KKlh2odoRVIlxxMaGtEWduelIR47XTijObN7DaR2G5wIFWC7Fr/abkV/F9TIW2xFlHxOdrqI/JwuabYANmqCKHTfgUKCIxkm2tocWML5yOP3IezRQkAG1kmiXENkCCSTJHRD6ocq+VmOpxalqQWv+yyUZFBETUAZHJBhvg5YCiOKZRYFULOYoCgKu7STtq5kTAZq0iTZ+7qFztsX0ad1CZOKJeWyiPHpeaxlVjzkpKrPtOvYrvoiiZeKURzXjmKGxXVZzIN6eiGXx+J5ybYCubk4qQKQDWhHoQLla7DsWDk75Vg3oRMxGYFAmZ9t00GFQAJs6jYG42aGciIEPGkaH614fEREBrYmFjeCNwDHQVKyUOUQT6Sw/pQclLRysqcFGWA4RnaGCp3NZY2lINRoIBMZsvlZ1mGgaXIhxAq7fscLzYK2F77UPGZvGJropmLrWIwEUVNX0ZwhHUulWLc/7PYfHqANDCRVJjrTtshWVnPsJ4oNGuBSBIQudEMrm588UeyDDGu0EXCx+CJIoHOiNQp0JeA7Wjyum066rVykeSldwbhA53WzrDt4ZBGwkVE5a9RJxNvFBhHKJCV0vi9bJ3ogBm6787qLOq9bA7oB31zECbGeoTlEqK2DTJZDKCVBa+5WdzcndPco1V4EWlNtW0Nx3FDjae32qel2KdLQ1dcttrVxLY3p3nBLU1tja6MU7aTZoDfg8/u8bIhm3YybdbN0U3tXd58oMs3pRJvn6QalI9EW5rzh5q4W/2Cs9sdxdxxnxIjSuKXTZBq7UgGRE2qb630Dfchsj3X2tINOrblHaW5viabr3ExtUKjfGmeSVRSJzuyX+Or2dG3TQCbFxPr7hPC2Dg6wYaWjK5z2QB9UA1ua2KYg68uomtvNFYUX9IRophBhgPGFGPuZmC8pGapJLFrD4aD3D/NtdXeWSIZNY9cIKV94+v1c4eg6FGtYqPy1I1FSytbJhGiWU0yYqgcq5WE8fvJV6fFXsmFqW2NiPFKgSSxbuUcSOlANgWRyy/xOyXGiqaYgPxZZdo+ctPcIyaQdPjkvaDigIQPShais8Q66NX9o03XRo/kNSSM9CVRp0KG1TjqbJT04kOY5k+fF/rTChAd9XqkHmpxwrDCFHA02DQmIVgxr2M8GJgqW+XIdI2tlaJahGXZqgCbdAcqSIhE9ne/CzcGwRvxE7LeWOmCUguSOkfM52WBmij10ckCRg45wL8D4wuHw9PJO81Be4hJmQ1OLvQxYHA3rUYy3ljoUIIZZxRgfmHenJd6aKyMv3X4BeH18jz9A+pfg4ULQz/eEfTAQgH5fOMQxb+ebKI3tbGpIx7QBOXJPwhlrrlwBA3Zvqvayfm+ALLWKnCCcbPIwbvZEkb0Io4pcTKCMAP9GZCsdAeSEpuNOAVq5aGdTTWNd5HgHXVxJdEzL39FyKjJUSRCycaiTzFhjnIxMnjRZHWYJVmtNp3UsJAhBTxD6AgLPhpmAh95M2tc82v26G7E7dA7IJPZ+zjoqeqtdlT6f11VFKaA6FCB5cm5yP8vmD7e/PnD4e3sfWuE8JeRz794LrTXqReax6etPvPf66DuTL3ecof/2zVM/OLmyrZQ590uhwVqdftnnv/u/zZPcD8VVV9559/QHzwivfBF9iKET3zjXNHlt9+zE+o8vRzJffH71k8s/Vw8c+Mfv76y7dOmV2LMqtf6Jr25u2PjT+FDLzKNr5wbSI23RU6GpqxdnYV+LfEt3DX58aD2s1NrvjAc/4K9/OPV++8Xyiti114KrHt54s/rxzXu+vL0vvGPvXw5+64+313xq1fY+d21T2coo2rayzCr99b7S1+o+WT/8u0M3UhSWB/H2SNtuXDlz/qXz1J/31fKvnyltWdP26vlnRs/uPhea/ejBT1d/1hsqv/T9/pJTRw6uG6++/Lyx/bq55yur6e5TN07/68Por65c+vaLFx78zYWI6739Ev3uiexjh26UBP/97MF1a/67d/bMo1dT5RduRSeT0pN3ArEf/SfVxUvl9NpH6sfWHz+KZ3Z9t+ufT0YnxS/Rb/dP75998eyBIwceHmWY4417Lnzn85mbm9b23R2/t64KZVatvl3/wtDZp3LsL8R93aOPNL7Z/tnU9PTGsrLnr1Q4aSlZ8WqFvilEcvR/822J/w==
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

docs/cassettes/classification_d9b9d53d.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/extraction_0bb138d7-116e-4542-aa5f-bebf0c301ec6.msgpack.zlib

@@ -1 +1 @@
-eNqNVQ1sFEUUbq0EotJgIg2QoMcBicHudfd277dUbK8/lFJ60GtLi3jZ252723b/urN7P0XEUghGFFhAVIgQ2+udNLUFCsq/SoIgQUSCxqIgosRojAgCgUTEuetVWkqim9zkZt4333vz3jdvlidCQIGcJGZ2c6IKFJpR0QTqyxMKaNYAVFfEBaAGJTbmrqr2dGgK1z8jqKoydObl0TJnkmQg0pyJkYS8EJHHBGk1D/2XeZCiifkkNnouc8ISowAgpAMAGp2GRUuMjIR8iSqaGM2G5zXWTgI0sg7GYDbmGoyKxIOkTYNAMS7NNQzbQA1F0BByUKWR5X7Yfbzkf/Ja/h8vOZyXGsm7GK0IEgv45FJAVjFKwgRO5JJIqCqAFpDBT/MQLE0EAc2i/F/IGBcLSlDVe4bntJdmGIAYgMhILCcG9PcDLZyca2CBn6dV0IXiEkGqYnpXEwAyRvNcCMQHduk7aFnmOYZO2vMaoSR2p8+BqVEZjDR3JePHUJVEVd9dhYIoLM9zR1HxRQNhsjhMlh0RDCWFE3lUTIynUTxxOWU/MNQg00wTIsHSwtLjA5t7hmIkqHdW0kxV9TBKWmGCeietCFaqb+i6ookqJwA94XKPdJc23nNHmgjCZNs5jBhGRUbvTCX9w2GbgapEMUZCHPq7eJyRpCYO6P3XvF7G7/UJBZRjPqgUvYq3uN6sEpJIFrkZaZ5a2ljvaZxv85ZVa5ES1Vrb4CvDMcJGWikLabeTGGHCTYSJwOS59UVUHZhX5KuKeAiWdEXqa6KkrbKQCAUrBZGvWEBBi2ifY22KyvWCxRQu58y1WiTobvCbrEqFrxk0sE11XE11ZTlUhGZoswY4MZxvQNFpIY4tIGaXVNRVm9wWXkE4QRIV3iXUecpLPXUNFbW1wdk0U6bx0OObOzQ8s5nE8HSEVpyy48mvZ1AbPBADalDvMNvx9xQAZXSNQVscpUzV4PIY0iE4eTyRvs7tVRX3JJwTK0aa1A95glquAXcY5tCiwYybLWhwEnYnThnKKj3drrQbzwMluNOj0CL0IxmWDEo+wQQ1sQmwXa4Hiv1QUuyoksnw0T3EQESWIMDSUendC7EFA40MKy/uG7hZmKQEaJFrSbnVD6VUH26JhFkG3elgKCzgjhaK5HxAY/y701tkRUq6QQFhAtQ7CLulJ20Z1F0XOivKMo7hxP4IpqBU8JzAoXymxnQ3hXrMgpK9dyRAlZoA6rsJKlUN/PBQhAIEJNik73s0lMPhOPhg0CAViSAOm3n/cBQEQ6MhzALcOxKQpmjHYXdkEI1xrN4/DU28uM3qI6wOEjVAyo8SzbI+B2OjSEBaLD4/IPehNscxiCVZTFlSVAwCBj0dalTvzxXoSLLHFJCEhbSik+YbOJHhNRZUa75iKXkGmG+QFcBLNNvrKsVcNBMEWHVKf3qiuH5eYWW564OF2FAhYVXywLOVECUocn5/vBooqDB6F8NLGouapQLiiGtBYb2+2+732wiWsjkYu51icStWhNrQINu/soslO22C5lHsIUbvC5IFRidFkcZ8g0AX2K2oTKnHrTWePKsYOJq59KnVYzJSXxb63b372npCasPHrQy/tPKyw7Ni3YpdNa+ey57cVzNe+S3ruwnf7sqr6Xj67iHzuufOen498sfhJWvDoxOvjJsxChtzeazrQsP4WdyLrVP5Fz66eeyrm47HfQcWHcYWTV/vdwU+oUPbPr56qeVifM8j7knnmd9fnrLi7O2WnSc2rZ75hfP0pMwZ3zSubvZfqm2cmCjffPQz59af2w4Q69sSo6Jrx0z56WyBqwq7uCVn2tuLN+YcDFhOX3IWj9FKR600X+ksi+unSo+/Xnp68Y0bnrB78sxHz18v3F44y+uNzRXe6b/d6r0xp/GXLWcy/yxd5V776Zk1W6cWPbt/ZbZt8nYtvmdhe39bdmt/+9qOHyeWvZX92Fiz5WpuIHxkTubx2LUNS9ynIlk+dc0xZvSUzx8u3vDGsvC+N8/3Ytqdbbcel7NzCjd+3brur9D3zScLbx37e9KBrXufmXvny6m7wXRt7Cln/7IfTmyqOVGyufdJsrQDXs9K5jgrY++qJ5ZfeSgj4x9qvG0Q
+eNqNVXlsFFUYXzQxlUTBqCjGY1xJFOls59qrTaN0l4Wlx5Zu1S4Vlrdv3u5OO5fzZpfdIh54H9WMZ/APr5ZdrLUKbTmqeMSooIgoRi0oGkMsoAGtGiXE1LfbrbSWROePmXnv+97vu37f99bl08jAkqbO6JVUExkAmmSBrXV5A92SQti8O6cgM6mJ3Y2hcHNXypCGr02apo4rKyqALjk0HalAckBNqUizFTAJzAryr8uoCNMd08Ts/hnCGruCMAYJhO2VVOsaO9SILdUkCztH3ZwSPTwib9ELKc5eTtkNTUYFWQojw762nJpyQJisATCWsAmI5N9q/8Ll/xPX+f9w+am4wnTcFWRH0UQkF7YSukkLGq1IqlTQVMkeS77YNBBQyCIOZIzIhokUnWTfTBkFJMbhXptPIiCS2hy0ze5Oati0+qbm+1UAISLoSIWaKKkJ65VEh6SXUyKKy8BEPcRnFRWrafW0I6TTQJbSKDd+ynoN6LosQVCQV7RhTe0txUibWR1NF/cUYqNJBVXTGggRJxYGKxqzhBgqxTqcnIN7LUOThEmqTApNy4D4k9OL8tcnC3QA2wkIXSKdlRs/3DdZR8PWhnoAQ+EpkMCASWsDMBSX0D9530ippqQgK+9rnG6uJDxljnewrMO9aQowzqrQ2lAsxNYph5FpZGmoEQzrBSYHNa1dQtbwaDQK49GYUu0J+ZeChpsYb21DXUuD5HClBNDWiPTQEtxe44oyuAkAQ0SexZxGs26e4xmB8bpo1sE4WAdL1zUGg0yNlI5E42wkwCtB5kYg3hDNYuaWTN1iRstCn+zLyvGkwMYy4dBNCRdW4i2iaEYXMfVRsd2h10eT4XA2Elwa09oY2SV5IpFlVRTxLpWWxOpAU8iR5Ey1vrmt4cZAQM1EXZyHa2xPuds6WAHURJcK2aQzzfNeYZJ7Tp6hmZKHLkbwMIWnb4IbMlITZtLq4hnPRgNhnbQ4uitHUmam8LpuwkO0e2e+1OovhmpPUXhOt59w0toRMKRyiuOoBi1NcQwnUKy3khcqnW5qcX1zr69kpvm0FNzUbAAVxwkNF01QPg+TKbUdiT2+05J9R4HspJIF90mP0iijaxjRJa+s3ha6aXzI0UF//3hn0ZqRAKrUUTRr7SiyfnVHZrUISb8n06sVxtsh8FIMpWB8oHREN7SCGeIQrWCrixW8fSXJBO96SKwMzZLUskMZmrQ5kiVFIvksvkuTFlvdTpLsbdMVTK0dkZmcF4rVYN6crGEghRC2YPsUjOD1et84vdIEFE9UvG5uaKoWRpO9YTkFb5uuUIJ4kcG9mQltWhKt4XlkEYVej8vr5FzOGAJczA2cHMexfAyQUoBYPO7eTkafBAlKoZi6Zpg0RpBcK2bWGi5XQKYwY6p51sm7SKRVlKRCOSWicCrm1wox4CpKN5CsAfFVX4D2AZhEdLjIPyvvjzQsrA/6trTQk4lEh/TxKy2valiV4vFcGBmkMFYPlLWUSIalgXIEq2lhxBrwIFfMCTkOIsHliYM4XUPG0ATaP7TrLkzaPJCJ72lo9Sf5anulIPD2KkoB1R4XKVPx4rszV4hVTbw3Y80VD5XZis+ZDz+2rPZd5oJ7vj25oObZ1iNDj+zZcYL6aaHfP/u8+RHjQGDfvHlbfXNPHn9sS+uChp83zBp5feS3rw9cbq/ZeIHpu0a7ePSLnkM/nAgeG7rvyVu3a1tOVu3+E36Bti9/8MBfT73/Dkgff/uXQ0Pf5wZnNl5SverYHVfe/fmiTbufkp5deVF1stN2oTz43jx3cMFg3Wbho8cHlsz58dNvLt71zr5zsp1lVx7ae50vRH/3uLrkkueemPNGwrn34+z9s48+PHMmOlj7aN1VnVfv7AzsXft7rK9qY+UnNe5v5juPfvDrQ0+89Apfdd1o/8ogvTZcuerg4dlHP23Zvw/6d7a+1fhH11WDewbm1ApXPO9b9eal3x823z/bEbj3rPXPZEf/rGmZb1vffFt61odztevr9hzJ9J7/2e7rhdYTq5+uHX53f9OXYw88ZxtZdZ5fuqxs1+3Hqjq9ZWNfReHI+X/c89LYaJkSCa64q7/h3Oi2zWh598srBh2ZpV3wt3NstrGxM23O3MqR42fYbH8DSCB5jw==

docs/cassettes/extraction_6b73d4e2-d18d-4d47-89ec-99b5eb6b234f.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/extraction_83ecf0db-757b-4ae3-a9d2-eb1c9f6b2631.msgpack.zlib

@@ -1 +0,0 @@
-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

docs/cassettes/extraction_855d0878-b1d9-4843-ace3-179b3f26ce7f.msgpack.zlib

@@ -0,0 +1 @@
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

docs/cassettes/extraction_cf7062cc-1d1d-4a37-9122-509d1b87f0a6.msgpack.zlib

@@ -0,0 +1 @@
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

docs/cassettes/extraction_dd42a935-022f-4860-b9e0-84268f55b22a.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/extraction_eb1b3a99-4750-45bc-ad28-5d12751ed9f8.msgpack.zlib

@@ -1 +0,0 @@
-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

docs/cassettes/extraction_examples_a9b7a762-1b75-4f9f-b9d9-6732dd05802c.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/qa_chat_history_4fbca953-970d-4271-be30-6c7799893dd1.msgpack.zlib

@@ -1 +1 @@
-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

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

@@ -1 +1 @@
-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

docs/cassettes/qa_sources_def66576-2309-45b5-8699-f0287df8ca9e.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/query_few_shot_0bcfce06-6f0c-4f9d-a1fc-dc29342d2aae.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/query_few_shot_e565ccb0-3530-4782-b56b-d1f6d0a8e559.msgpack.zlib

@@ -1 +1 @@
-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