docs: target coloring

Alternative to https://github.com/langchain-ai/langchain/pull/28426

---------

Co-authored-by: Erick Friis <erick@langchain.dev>

.github/DISCUSSION_TEMPLATE/q-a.yml

@@ -22,7 +22,7 @@ body:
         if there's another way to solve your problem:
         
         [LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
-        [API Reference](https://api.python.langchain.com/en/stable/),
+        [API Reference](https://python.langchain.com/api_reference/),
         [GitHub search](https://github.com/langchain-ai/langchain),
         [LangChain Github Discussions](https://github.com/langchain-ai/langchain/discussions),
         [LangChain Github Issues](https://github.com/langchain-ai/langchain/issues?q=is%3Aissue),

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -16,7 +16,7 @@ body:
         if there's another way to solve your problem:
         
         [LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
-        [API Reference](https://api.python.langchain.com/en/stable/),
+        [API Reference](https://python.langchain.com/api_reference/),
         [GitHub search](https://github.com/langchain-ai/langchain),
         [LangChain Github Discussions](https://github.com/langchain-ai/langchain/discussions),
         [LangChain Github Issues](https://github.com/langchain-ai/langchain/issues?q=is%3Aissue),

.github/ISSUE_TEMPLATE/documentation.yml

@@ -21,7 +21,7 @@ body:
       place to ask your question:
       
       [LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
-      [API Reference](https://api.python.langchain.com/en/stable/),
+      [API Reference](https://python.langchain.com/api_reference/),
       [GitHub search](https://github.com/langchain-ai/langchain),
       [LangChain Github Discussions](https://github.com/langchain-ai/langchain/discussions),
       [LangChain Github Issues](https://github.com/langchain-ai/langchain/issues?q=is%3Aissue),

.github/scripts/check_diff.py

@@ -32,18 +32,8 @@ IGNORED_PARTNERS = [
     "huggingface",
 ]
 
-# Cap python version at 3.12 for some packages with dependencies that are not yet
-# compatible with python 3.13 (mostly hf tokenizers).
 PY_312_MAX_PACKAGES = [
-    f"libs/partners/{integration}"
-    for integration in [
-        "chroma",
-        "couchbase",
-        "huggingface",
-        "mistralai",
-        "nomic",
-        "qdrant",
-    ]
+    "libs/partners/huggingface",  # https://github.com/pytorch/pytorch/issues/130249
 ]
 
 
@@ -134,10 +124,11 @@ def _get_configs_for_single_dir(job: str, dir_: str) -> List[Dict[str, str]]:
     elif dir_ in PY_312_MAX_PACKAGES:
         py_versions = ["3.9", "3.12"]
 
-    elif dir_ in ["libs/community", "libs/langchain"] and job == "extended-tests":
-        # community extended test resolution in 3.12 is slow
-        # even in uv
-        py_versions = ["3.9", "3.11"]
+    elif dir_ == "libs/langchain" and job == "extended-tests":
+        py_versions = ["3.9", "3.13"]
+
+    elif dir_ == "libs/community" and job == "extended-tests":
+        py_versions = ["3.9", "3.12"]
 
     elif dir_ == "libs/community" and job == "compile-integration-tests":
         # community integration deps are slow in 3.12
@@ -281,6 +272,9 @@ if __name__ == "__main__":
             # TODO: update to include all packages that rely on standard-tests (all partner packages)
             # note: won't run on external repo partners
             dirs_to_run["lint"].add("libs/standard-tests")
+            dirs_to_run["test"].add("libs/standard-tests")
+            dirs_to_run["lint"].add("libs/cli")
+            dirs_to_run["test"].add("libs/cli")
             dirs_to_run["test"].add("libs/partners/mistralai")
             dirs_to_run["test"].add("libs/partners/openai")
             dirs_to_run["test"].add("libs/partners/anthropic")
@@ -288,8 +282,9 @@ if __name__ == "__main__":
             dirs_to_run["test"].add("libs/partners/groq")
 
         elif file.startswith("libs/cli"):
-            # todo: add cli makefile
-            pass
+            dirs_to_run["lint"].add("libs/cli")
+            dirs_to_run["test"].add("libs/cli")
+            
         elif file.startswith("libs/partners"):
             partner_dir = file.split("/")[2]
             if os.path.isdir(f"libs/partners/{partner_dir}") and [

.github/scripts/prep_api_docs_build.py

@@ -23,24 +23,19 @@ def get_target_dir(package_name: str) -> Path:
     return base_path / "partners" / package_name_short
 
 
-def clean_target_directories(packages: Dict[str, Any]) -> None:
+def clean_target_directories(packages: list) -> None:
     """Remove old directories that will be replaced."""
-    for package in packages["packages"]:
-        if package["repo"] != "langchain-ai/langchain":
-            target_dir = get_target_dir(package["name"])
-            if target_dir.exists():
-                print(f"Removing {target_dir}")
-                shutil.rmtree(target_dir)
+    for package in packages:
+
+        target_dir = get_target_dir(package["name"])
+        if target_dir.exists():
+            print(f"Removing {target_dir}")
+            shutil.rmtree(target_dir)
 
 
-def move_libraries(packages: Dict[str, Any]) -> None:
+def move_libraries(packages: list) -> None:
     """Move libraries from their source locations to the target directories."""
-    for package in packages["packages"]:
-        # Skip if it's the main langchain repo or disabled
-        if package["repo"] == "langchain-ai/langchain" or package.get(
-            "disabled", False
-        ):
-            continue
+    for package in packages:
 
         repo_name = package["repo"].split("/")[1]
         source_path = package["path"]
@@ -68,7 +63,14 @@ def main():
     """Main function to orchestrate the library sync process."""
     try:
         # Load packages configuration
-        packages = load_packages_yaml()
+        package_yaml = load_packages_yaml()
+        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"
+        ]
 
         # Clean target directories
         clean_target_directories(packages)

.github/workflows/_compile_integration_test.yml

@@ -13,7 +13,7 @@ on:
         description: "Python version to use"
 
 env:
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -21,6 +21,7 @@ jobs:
       run:
         working-directory: ${{ inputs.working-directory }}
     runs-on: ubuntu-latest
+    timeout-minutes: 20
     name: "poetry run pytest -m compile tests/integration_tests #${{ inputs.python-version }}"
     steps:
       - uses: actions/checkout@v4

.github/workflows/_integration_test.yml

@@ -12,7 +12,7 @@ on:
         description: "Python version to use"
 
 env:
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:

.github/workflows/_lint.yml

@@ -13,7 +13,7 @@ on:
         description: "Python version to use"
 
 env:
-  POETRY_VERSION: "1.7.1"
+  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.
@@ -23,6 +23,7 @@ jobs:
   build:
     name: "make lint #${{ inputs.python-version }}"
     runs-on: ubuntu-latest
+    timeout-minutes: 20
     steps:
       - uses: actions/checkout@v4
 

.github/workflows/_release.yml

@@ -21,7 +21,7 @@ on:
 
 env:
   PYTHON_VERSION: "3.11"
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -167,6 +167,7 @@ jobs:
       - release-notes
       - test-pypi-publish
     runs-on: ubuntu-latest
+    timeout-minutes: 20
     steps:
       - uses: actions/checkout@v4
 
@@ -191,7 +192,12 @@ jobs:
           poetry-version: ${{ env.POETRY_VERSION }}
           working-directory: ${{ inputs.working-directory }}
 
-      - name: Import published package
+      - uses: actions/download-artifact@v4
+        with:
+          name: dist
+          path: ${{ inputs.working-directory }}/dist/
+
+      - name: Import dist package
         shell: bash
         working-directory: ${{ inputs.working-directory }}
         env:
@@ -207,15 +213,7 @@ jobs:
         # - attempt install again after 5 seconds if it fails because there is
         #   sometimes a delay in availability on test pypi
         run: |
-          poetry run pip install \
-            --extra-index-url https://test.pypi.org/simple/ \
-            "$PKG_NAME==$VERSION" || \
-          ( \
-            sleep 15 && \
-            poetry run pip install \
-              --extra-index-url https://test.pypi.org/simple/ \
-              "$PKG_NAME==$VERSION" \
-          )
+          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.
@@ -224,10 +222,10 @@ jobs:
           poetry run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))"
 
       - name: Import test dependencies
-        run: poetry install --with test
+        run: poetry install --with test --no-root
         working-directory: ${{ inputs.working-directory }}
 
-      # Overwrite the local version of the package with the test PyPI version.
+      # Overwrite the local version of the package with the built version
       - name: Import published package (again)
         working-directory: ${{ inputs.working-directory }}
         shell: bash
@@ -235,9 +233,7 @@ jobs:
           PKG_NAME: ${{ needs.build.outputs.pkg-name }}
           VERSION: ${{ needs.build.outputs.version }}
         run: |
-          poetry run pip install \
-            --extra-index-url https://test.pypi.org/simple/ \
-            "$PKG_NAME==$VERSION"
+          poetry run pip install dist/*.whl
 
       - name: Run unit tests
         run: make tests

.github/workflows/_release_docker.yml

@@ -1,62 +0,0 @@
-name: release_docker
-
-on:
-  workflow_call:
-    inputs:
-      dockerfile:
-        required: true
-        type: string
-        description: "Path to the Dockerfile to build"
-      image:
-        required: true
-        type: string
-        description: "Name of the image to build"
-
-env:
-  TEST_TAG: ${{ inputs.image }}:test
-  LATEST_TAG: ${{ inputs.image }}:latest
-
-jobs:
-  docker:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-      - name: Get git tag
-        uses: actions-ecosystem/action-get-latest-tag@v1
-        id: get-latest-tag
-      - name: Set docker tag
-        env:
-          VERSION: ${{ steps.get-latest-tag.outputs.tag }}
-        run: |
-          echo "VERSION_TAG=${{ inputs.image }}:${VERSION#v}" >> $GITHUB_ENV
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-      - name: Build for Test
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          file: ${{ inputs.dockerfile }}
-          load: true
-          tags: ${{ env.TEST_TAG }}
-      - name: Test
-        run: |
-          docker run --rm ${{ env.TEST_TAG }} python -c "import langchain"
-      - name: Build and Push to Docker Hub
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          file: ${{ inputs.dockerfile }}
-          # We can only build for the intersection of platforms supported by
-          # QEMU and base python image, for now build only for
-          # linux/amd64 and linux/arm64
-          platforms: linux/amd64,linux/arm64
-          tags: ${{ env.LATEST_TAG }},${{ env.VERSION_TAG }}
-          push: true

.github/workflows/_test.yml

@@ -13,7 +13,7 @@ on:
         description: "Python version to use"
 
 env:
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -21,6 +21,7 @@ jobs:
       run:
         working-directory: ${{ inputs.working-directory }}
     runs-on: ubuntu-latest
+    timeout-minutes: 20
     name: "make test #${{ inputs.python-version }}"
     steps:
       - uses: actions/checkout@v4

.github/workflows/_test_doc_imports.yml

@@ -9,11 +9,12 @@ on:
         description: "Python version to use"
 
 env:
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
     runs-on: ubuntu-latest
+    timeout-minutes: 20
     name: "check doc imports #${{ inputs.python-version }}"
     steps:
       - uses: actions/checkout@v4

.github/workflows/_test_pydantic.yml

@@ -18,7 +18,7 @@ on:
         description: "Pydantic version to test."
 
 env:
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -26,6 +26,7 @@ jobs:
       run:
         working-directory: ${{ inputs.working-directory }}
     runs-on: ubuntu-latest
+    timeout-minutes: 20
     name: "make test # pydantic: ~=${{ inputs.pydantic-version }}, python: ${{ inputs.python-version }}, "
     steps:
       - uses: actions/checkout@v4

.github/workflows/_test_release.yml

@@ -14,7 +14,7 @@ on:
         description: "Release from a non-master branch (danger!)"
 
 env:
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
   PYTHON_VERSION: "3.10"
 
 jobs:

.github/workflows/api_doc_build.yml

@@ -5,7 +5,7 @@ on:
   schedule:
     - cron:  '0 13 * * *'
 env:
-  POETRY_VERSION: "1.8.1"
+  POETRY_VERSION: "1.8.4"
   PYTHON_VERSION: "3.11"
 
 jobs:
@@ -37,9 +37,9 @@ jobs:
           # Get unique repositories
           REPOS=$(echo "$REPOS_UNSORTED" | sort -u)
           
-          # Checkout each unique repository
+          # Checkout each unique repository that is in langchain-ai org
           for repo in $REPOS; do
-            if [ "$repo" != "langchain-ai/langchain" ]; then
+            if [[ "$repo" != "langchain-ai/langchain" && "$repo" == langchain-ai/* ]]; then
               REPO_NAME=$(echo $repo | cut -d'/' -f2)
               echo "Checking out $repo to $REPO_NAME"
               git clone --depth 1 https://github.com/$repo.git $REPO_NAME
@@ -73,7 +73,7 @@ jobs:
         working-directory: langchain
         run: |
           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
+          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
 
       - name: Set Git config

.github/workflows/check_diffs.yml

@@ -17,7 +17,7 @@ concurrency:
   cancel-in-progress: true
 
 env:
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:
@@ -119,6 +119,7 @@ jobs:
         job-configs: ${{ fromJson(needs.build.outputs.extended-tests) }}
       fail-fast: false
     runs-on: ubuntu-latest
+    timeout-minutes: 20
     defaults:
       run:
         working-directory: ${{ matrix.job-configs.working-directory }}

.github/workflows/langchain_release_docker.yml

@@ -1,14 +0,0 @@
----
-name: docker/langchain/langchain Release
-
-on:
-  workflow_dispatch: # Allows to trigger the workflow manually in GitHub UI
-  workflow_call: # Allows triggering from another workflow
-
-jobs:
-  release:
-    uses: ./.github/workflows/_release_docker.yml
-    with:
-      dockerfile: docker/Dockerfile.base
-      image: langchain/langchain
-    secrets: inherit

.github/workflows/run_notebooks.yml

@@ -15,7 +15,7 @@ on:
     - cron: '0 13 * * *'
 
 env:
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
 
 jobs:
   build:

.github/workflows/scheduled_test.yml

@@ -2,32 +2,60 @@ name: Scheduled tests
 
 on:
   workflow_dispatch:  # Allows to trigger the workflow manually in GitHub UI
+    inputs:
+      working-directory-force:
+        type: string
+        description: "From which folder this pipeline executes - defaults to all in matrix - example value: libs/partners/anthropic"
+      python-version-force:
+        type: string
+        description: "Python version to use - defaults to 3.9 and 3.11 in matrix - example value: 3.9"
   schedule:
     - cron:  '0 13 * * *'
 
 env:
-  POETRY_VERSION: "1.7.1"
+  POETRY_VERSION: "1.8.4"
+  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"]'
 
 jobs:
+  compute-matrix:
+    if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule'
+    runs-on: ubuntu-latest
+    name: Compute matrix
+    outputs:
+      matrix: ${{ steps.set-matrix.outputs.matrix }}
+    steps:
+      - name: Set matrix
+        id: set-matrix
+        env:
+          DEFAULT_LIBS: ${{ env.DEFAULT_LIBS }}
+          WORKING_DIRECTORY_FORCE: ${{ github.event.inputs.working-directory-force || '' }}
+          PYTHON_VERSION_FORCE: ${{ github.event.inputs.python-version-force || '' }}
+        run: |
+          # echo "matrix=..." where matrix is a json formatted str with keys python-version and working-directory
+          # python-version should default to 3.9 and 3.11, but is overridden to [PYTHON_VERSION_FORCE] if set
+          # working-directory should default to DEFAULT_LIBS, but is overridden to [WORKING_DIRECTORY_FORCE] if set
+          python_version='["3.9", "3.11"]'
+          working_directory="$DEFAULT_LIBS"
+          if [ -n "$PYTHON_VERSION_FORCE" ]; then
+            python_version="[\"$PYTHON_VERSION_FORCE\"]"
+          fi
+          if [ -n "$WORKING_DIRECTORY_FORCE" ]; then
+            working_directory="[\"$WORKING_DIRECTORY_FORCE\"]"
+          fi
+          matrix="{\"python-version\": $python_version, \"working-directory\": $working_directory}"
+          echo $matrix
+          echo "matrix=$matrix" >> $GITHUB_OUTPUT
   build:
     if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule'
     name: Python ${{ matrix.python-version }} - ${{ matrix.working-directory }}
     runs-on: ubuntu-latest
+    needs: [compute-matrix]
+    timeout-minutes: 20
     strategy:
       fail-fast: false
       matrix:
-        python-version:
-          - "3.9"
-          - "3.11"
-        working-directory:
-          - "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"
+        python-version: ${{ fromJSON(needs.compute-matrix.outputs.matrix).python-version }}
+        working-directory: ${{ fromJSON(needs.compute-matrix.outputs.matrix).working-directory }}
 
     steps:
       - uses: actions/checkout@v4

Makefile

@@ -69,7 +69,11 @@ lint lint_package lint_tests:
 	poetry run ruff check docs cookbook
 	poetry run ruff format docs cookbook cookbook --diff
 	poetry run ruff check --select I docs cookbook
-	git grep 'from langchain import' docs/docs cookbook | grep -vE 'from langchain import (hub)' && exit 1 || exit 0
+	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 && \
+	echo "Error: you should link python.langchain.com/api_reference, not api.python.langchain.com in the docs" && \
+	exit 1
 
 ## format: Format the project files.
 format format_diff:

README.md

@@ -123,13 +123,13 @@ Please see [here](https://python.langchain.com) for full documentation, which in
 - [Tutorials](https://python.langchain.com/docs/tutorials/): If you're looking to build something specific or are more of a hands-on learner, check out our tutorials. This is the best place to get started.
 - [How-to guides](https://python.langchain.com/docs/how_to/): Answers to “How do I….?” type questions. These guides are goal-oriented and concrete; they're meant to help you complete a specific task.
 - [Conceptual guide](https://python.langchain.com/docs/concepts/): Conceptual explanations of the key parts of the framework.
-- [API Reference](https://api.python.langchain.com): Thorough documentation of every class and method.
+- [API Reference](https://python.langchain.com/api_reference/): Thorough documentation of every class and method.
 
 ## 🌐 Ecosystem
 
 - [🦜🛠️ LangSmith](https://docs.smith.langchain.com/): Trace and evaluate your language model applications and intelligent agents to help you move from prototype to production.
 - [🦜🕸️ LangGraph](https://langchain-ai.github.io/langgraph/): Create stateful, multi-actor applications with LLMs. Integrates smoothly with LangChain, but can be used without it.
-- [🦜🏓 LangServe](https://python.langchain.com/docs/langserve): Deploy LangChain runnables and chains as REST APIs.
+- [🦜🕸️ LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform): Deploy LLM applications built with LangGraph into production.
 
 ## 💁 Contributing
 

SECURITY.md

@@ -1,5 +1,30 @@
 # Security Policy
 
+LangChain has a large ecosystem of integrations with various external resources like local and remote file systems, APIs and databases. These integrations allow developers to create versatile applications that combine the power of LLMs with the ability to access, interact with and manipulate external resources.
+
+## Best practices
+
+When building such applications developers should remember to follow good security practices:
+
+* [**Limit Permissions**](https://en.wikipedia.org/wiki/Principle_of_least_privilege): Scope permissions specifically to the application's need. Granting broad or excessive permissions can introduce significant security vulnerabilities. To avoid such vulnerabilities, consider using read-only credentials, disallowing access to sensitive resources, using sandboxing techniques (such as running inside a container), specifying proxy configurations to control external requests, etc. as appropriate for your application.
+* **Anticipate Potential Misuse**: Just as humans can err, so can Large Language Models (LLMs). Always assume that any system access or credentials may be used in any way allowed by the permissions they are assigned. For example, if a pair of database credentials allows deleting data, it’s safest to assume that any LLM able to use those credentials may in fact delete data.
+* [**Defense in Depth**](https://en.wikipedia.org/wiki/Defense_in_depth_(computing)): No security technique is perfect. Fine-tuning and good chain design can reduce, but not eliminate, the odds that a Large Language Model (LLM) may make a mistake. It’s best to combine multiple layered security approaches rather than relying on any single layer of defense to ensure security. For example: use both read-only permissions and sandboxing to ensure that LLMs are only able to access data that is explicitly meant for them to use.
+
+Risks of not doing so include, but are not limited to:
+* Data corruption or loss.
+* Unauthorized access to confidential information.
+* Compromised performance or availability of critical resources.
+
+Example scenarios with mitigation strategies:
+
+* A user may ask an agent with access to the file system to delete files that should not be deleted or read the content of files that contain sensitive information. To mitigate, limit the agent to only use a specific directory and only allow it to read or write files that are safe to read or write. Consider further sandboxing the agent by running it in a container.
+* A user may ask an agent with write access to an external API to write malicious data to the API, or delete data from that API. To mitigate, give the agent read-only API keys, or limit it to only use endpoints that are already resistant to such misuse.
+* A user may ask an agent with access to a database to drop a table or mutate the schema. To mitigate, scope the credentials to only the tables that the agent needs to access and consider issuing READ-ONLY credentials.
+
+If you're building applications that access external resources like file systems, APIs
+or databases, consider speaking with your company's security team to determine how to best
+design and secure your applications.
+
 ## Reporting OSS Vulnerabilities
 
 LangChain is partnered with [huntr by Protect AI](https://huntr.com/) to provide 
@@ -14,7 +39,7 @@ Before reporting a vulnerability, please review:
 
 1) In-Scope Targets and Out-of-Scope Targets below.
 2) The [langchain-ai/langchain](https://python.langchain.com/docs/contributing/repo_structure) monorepo structure.
-3) LangChain [security guidelines](https://python.langchain.com/docs/security) to
+3) The [Best practicies](#best-practices) above to
    understand what we consider to be a security vulnerability vs. developer
    responsibility.
 
@@ -33,13 +58,13 @@ The following packages and repositories are eligible for bug bounties:
 All out of scope targets defined by huntr as well as:
 
 - **langchain-experimental**: This repository is for experimental code and is not
-  eligible for bug bounties, bug reports to it will be marked as interesting or waste of
+  eligible for bug bounties (see [package warning](https://pypi.org/project/langchain-experimental/)), bug reports to it will be marked as interesting or waste of
   time and published with no bounty attached.
 - **tools**: Tools in either langchain or langchain-community are not eligible for bug
   bounties. This includes the following directories
-  - langchain/tools
-  - langchain-community/tools
-  - Please review our [security guidelines](https://python.langchain.com/docs/security)
+  - libs/langchain/langchain/tools
+  - libs/community/langchain_community/tools
+  - Please review the [best practices](#best-practices)
     for more details, but generally tools interact with the real world. Developers are
     expected to understand the security implications of their code and are responsible
     for the security of their tools.
@@ -47,7 +72,7 @@ All out of scope targets defined by huntr as well as:
   case basis, but likely will not be eligible for a bounty as the code is already
   documented with guidelines for developers that should be followed for making their
   application secure.
-- Any LangSmith related repositories or APIs see below.
+- Any LangSmith related repositories or APIs (see [Reporting LangSmith Vulnerabilities](#reporting-langsmith-vulnerabilities)).
 
 ## Reporting LangSmith Vulnerabilities
 

cookbook/README.md

@@ -63,4 +63,5 @@ Notebook | Description
 [oracleai_demo.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/oracleai_demo.ipynb) | This guide outlines how to utilize Oracle AI Vector Search alongside Langchain for an end-to-end RAG pipeline, providing step-by-step examples. The process includes loading documents from various sources using OracleDocLoader, summarizing them either within or outside the database with OracleSummary, and generating embeddings similarly through OracleEmbeddings. It also covers chunking documents according to specific requirements using Advanced Oracle Capabilities from OracleTextSplitter, and finally, storing and indexing these documents in a Vector Store for querying with OracleVS.
 [rag-locally-on-intel-cpu.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/rag-locally-on-intel-cpu.ipynb) | Perform Retrieval-Augmented-Generation (RAG) on locally downloaded open-source models using langchain and open source tools and execute it on Intel Xeon CPU. We showed an example of how to apply RAG on Llama 2 model and enable it to answer the queries related to Intel Q1 2024 earnings release.
 [visual_RAG_vdms.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/visual_RAG_vdms.ipynb) | Performs Visual Retrieval-Augmented-Generation (RAG) using videos and scene descriptions generated by open source models.
-[contextual_rag.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/contextual_rag.ipynb) | Performs contextual retrieval-augmented generation (RAG) prepending chunk-specific explanatory context to each chunk before embedding.
+[contextual_rag.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/contextual_rag.ipynb) | Performs contextual retrieval-augmented generation (RAG) prepending chunk-specific explanatory context to each chunk before embedding.
+[rag-agents-locally-on-intel-cpu.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/local_rag_agents_intel_cpu.ipynb) | Build a RAG agent locally with open source models that routes questions through one of two paths to find answers. The agent generates answers based on documents retrieved from either the vector database or retrieved from web search. If the vector database lacks relevant information, the agent opts for web search. Open-source models for LLM and embeddings are used locally on an Intel Xeon CPU to execute this pipeline.

docker/Dockerfile.base

@@ -1,3 +0,0 @@
-FROM python:3.11
-
-RUN pip install langchain

docker/Makefile

@@ -1,12 +0,0 @@
-# Makefile
-
-build_graphdb:
-	docker build --tag graphdb ./graphdb
-
-start_graphdb:
-	docker-compose up -d graphdb
-
-down:
-	docker-compose down -v --remove-orphans
-
-.PHONY: build_graphdb start_graphdb down

docker/docker-compose.yml

@@ -1,84 +0,0 @@
-# docker-compose to make it easier to spin up integration tests.
-# Services should use NON standard ports to avoid collision with
-# any existing services that might be used for development.
-# ATTENTION: When adding a service below use a non-standard port
-# increment by one from the preceding port.
-# For credentials always use `langchain` and `langchain` for the
-# username and password.
-version: "3"
-name: langchain-tests
-
-services:
-  redis:
-    image: redis/redis-stack-server:latest
-    # We use non standard ports since
-    # these instances are used for testing
-    # and users may already have existing
-    # redis instances set up locally
-    # for other projects
-    ports:
-      - "6020:6379"
-    volumes:
-      - ./redis-volume:/data
-  graphdb:
-    image: graphdb
-    ports:
-      - "6021:7200"
-  mongo:
-    image: mongo:latest
-    container_name: mongo_container
-    ports:
-      - "6022:27017"
-    environment:
-      MONGO_INITDB_ROOT_USERNAME: langchain
-      MONGO_INITDB_ROOT_PASSWORD: langchain
-  postgres:
-    image: postgres:16
-    environment:
-      POSTGRES_DB: langchain
-      POSTGRES_USER: langchain
-      POSTGRES_PASSWORD: langchain
-    ports:
-      - "6023:5432"
-    command: |
-      postgres -c log_statement=all
-    healthcheck:
-      test:
-        [
-          "CMD-SHELL",
-          "psql postgresql://langchain:langchain@localhost/langchain --command 'SELECT 1;' || exit 1",
-        ]
-      interval: 5s
-      retries: 60
-    volumes:
-      - postgres_data:/var/lib/postgresql/data
-  pgvector:
-    # postgres with the pgvector extension
-    image: ankane/pgvector
-    environment:
-      POSTGRES_DB: langchain
-      POSTGRES_USER: langchain
-      POSTGRES_PASSWORD: langchain
-    ports:
-      - "6024:5432"
-    command: |
-      postgres -c log_statement=all
-    healthcheck:
-      test:
-        [
-          "CMD-SHELL",
-          "psql postgresql://langchain:langchain@localhost/langchain --command 'SELECT 1;' || exit 1",
-        ]
-      interval: 5s
-      retries: 60
-    volumes:
-      - postgres_data_pgvector:/var/lib/postgresql/data
-  vdms:
-    image: intellabs/vdms:latest
-    container_name: vdms_container
-    ports:
-      - "6025:55555"
-
-volumes:
-  postgres_data:
-  postgres_data_pgvector:

docker/graphdb/Dockerfile

@@ -1,5 +0,0 @@
-FROM ontotext/graphdb:10.5.1
-RUN mkdir -p /opt/graphdb/dist/data/repositories/langchain
-COPY config.ttl /opt/graphdb/dist/data/repositories/langchain/
-COPY graphdb_create.sh /run.sh
-ENTRYPOINT bash /run.sh

docker/graphdb/config.ttl

@@ -1,46 +0,0 @@
-@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>.
-@prefix rep: <http://www.openrdf.org/config/repository#>.
-@prefix sr: <http://www.openrdf.org/config/repository/sail#>.
-@prefix sail: <http://www.openrdf.org/config/sail#>.
-@prefix graphdb: <http://www.ontotext.com/config/graphdb#>.
-
-[] a rep:Repository ;
-    rep:repositoryID "langchain" ;
-    rdfs:label "" ;
-    rep:repositoryImpl [
-        rep:repositoryType "graphdb:SailRepository" ;
-        sr:sailImpl [
-            sail:sailType "graphdb:Sail" ;
-
-            graphdb:read-only "false" ;
-
-            # Inference and Validation
-            graphdb:ruleset "empty" ;
-            graphdb:disable-sameAs "true" ;
-            graphdb:check-for-inconsistencies "false" ;
-
-            # Indexing
-            graphdb:entity-id-size "32" ;
-            graphdb:enable-context-index "false" ;
-            graphdb:enablePredicateList "true" ;
-            graphdb:enable-fts-index "false" ;
-            graphdb:fts-indexes ("default" "iri") ;
-            graphdb:fts-string-literals-index "default" ;
-            graphdb:fts-iris-index "none" ;
-
-            # Queries and Updates
-            graphdb:query-timeout "0" ;
-            graphdb:throw-QueryEvaluationException-on-timeout "false" ;
-            graphdb:query-limit-results "0" ;
-
-            # Settable in the file but otherwise hidden in the UI and in the RDF4J console
-            graphdb:base-URL "http://example.org/owlim#" ;
-            graphdb:defaultNS "" ;
-            graphdb:imports "" ;
-            graphdb:repository-type "file-repository" ;
-            graphdb:storage-folder "storage" ;
-            graphdb:entity-index-size "10000000" ;
-            graphdb:in-memory-literal-properties "true" ;
-            graphdb:enable-literal-index "true" ;
-        ]
-    ].

docker/graphdb/graphdb_create.sh

@@ -1,28 +0,0 @@
-#! /bin/bash
-REPOSITORY_ID="langchain"
-GRAPHDB_URI="http://localhost:7200/"
-
-echo -e "\nUsing GraphDB: ${GRAPHDB_URI}"
-
-function startGraphDB {
- echo -e "\nStarting GraphDB..."
- exec /opt/graphdb/dist/bin/graphdb
-}
-
-function waitGraphDBStart {
-  echo -e "\nWaiting GraphDB to start..."
-  for _ in $(seq 1 5); do
-    CHECK_RES=$(curl --silent --write-out '%{http_code}' --output /dev/null ${GRAPHDB_URI}/rest/repositories)
-    if [ "${CHECK_RES}" = '200' ]; then
-        echo -e "\nUp and running"
-        break
-    fi
-    sleep 30s
-    echo "CHECK_RES: ${CHECK_RES}"
-  done
-}
-
-
-startGraphDB &
-waitGraphDBStart
-wait

docs/Makefile

@@ -38,7 +38,7 @@ install-py-deps:
 
 generate-files:
 	mkdir -p $(INTERMEDIATE_DIR)
-	cp -r $(SOURCE_DIR)/* $(INTERMEDIATE_DIR)
+	cp -rp $(SOURCE_DIR)/* $(INTERMEDIATE_DIR)
 
 	$(PYTHON) scripts/tool_feat_table.py $(INTERMEDIATE_DIR)
 
@@ -47,6 +47,7 @@ generate-files:
 	$(PYTHON) scripts/partner_pkg_table.py $(INTERMEDIATE_DIR)
 
 	curl https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md | sed 's/<=/\&lt;=/g' > $(INTERMEDIATE_DIR)/langserve.md
+	cp ../SECURITY.md $(INTERMEDIATE_DIR)/security.md
 	$(PYTHON) scripts/resolve_local_links.py $(INTERMEDIATE_DIR)/langserve.md https://github.com/langchain-ai/langserve/tree/main/
 
 copy-infra:

docs/api_reference/_static/css/custom.css

@@ -80,6 +80,8 @@
 html {
     --pst-font-family-base: 'Inter';
     --pst-font-family-heading: 'Inter Tight', sans-serif;
+
+    --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-triangle);
 }
 
 /*******************************************************************************
@@ -389,6 +391,13 @@ html[data-theme=dark] .MathJax_SVG * {
 div.deprecated {
   margin-top: 0.5em;
   margin-bottom: 2em;
+
+  background-color: var(--pst-color-target-bg);
+  border-color: var(--pst-color-target);
+}
+
+span.versionmodified.deprecated:before {
+  color: var(--pst-color-target);
 }
 
 .admonition-beta.admonition, div.admonition-beta.admonition {
@@ -408,4 +417,4 @@ dl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.
 p {
   font-size: 0.9rem;
   margin-bottom: 0.5rem;
-}
+}

docs/api_reference/create_api_rst.py

@@ -479,11 +479,11 @@ def _package_namespace(package_name: str) -> str:
     Returns:
         modified package_name: Can be either "langchain" or "langchain_{package_name}"
     """
-    return (
-        package_name
-        if package_name == "langchain"
-        else f"langchain_{package_name.replace('-', '_')}"
-    )
+    if package_name == "langchain":
+        return "langchain"
+    if package_name == "standard-tests":
+        return "langchain_tests"
+    return f"langchain_{package_name.replace('-', '_')}"
 
 
 def _package_dir(package_name: str = "langchain") -> Path:
@@ -495,6 +495,7 @@ def _package_dir(package_name: str = "langchain") -> Path:
         "core",
         "cli",
         "text-splitters",
+        "standard-tests",
     ):
         return ROOT_DIR / "libs" / package_name / _package_namespace(package_name)
     else:
@@ -649,7 +650,7 @@ def main(dirs: Optional[list] = None) -> None:
         dirs = [
             dir_
             for dir_ in os.listdir(ROOT_DIR / "libs")
-            if dir_ not in ("cli", "partners", "standard-tests", "packages.yml")
+            if dir_ not in ("cli", "partners", "packages.yml")
         ]
         dirs += [
             dir_

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

@@ -0,0 +1 @@
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

docs/cassettes/extraction_13165ac8-a1dc-44ce-a6ed-f52b577473e4.msgpack.zlib

@@ -1 +0,0 @@
-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

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

@@ -0,0 +1 @@
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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

@@ -1 +1 @@
-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

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

@@ -0,0 +1 @@
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

docs/cassettes/llm_chain_0abb0863-bee7-448d-b013-79d8db01e330.msgpack.zlib

@@ -0,0 +1 @@
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

docs/cassettes/llm_chain_1b2481f0.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/llm_chain_3e45595a.msgpack.zlib

@@ -1 +1 @@
-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
+eNptVWts3FQWTrf8gB/QFqkLaiVwR7sUQTyxx56HE7Lk2TaZppPXJBMQiu7Y12NnbF/X155H0oAIXSHEo3JaVYBUWpp0BqUhbWl4pS2INxJvihABEZblvai02/IHuqJcTybbRK1/zPjee+53vnPOd45HihloYRUZyyZVw4YWEG2ywO5I0YJbHYjt7QUd2gqSxttjXd1jjqXO3qLYtomrq6qAqfqRCQ2g+kWkV2XYKlEBdhV5NzVYghlPIik/+86QT4cYgxTEvmrqziGfiIgrwyYLX7cFDKwBG1K2AikZaRrKqkaKki2kU81GSlOxQhFmiGqxgaYCw1dJ+SykQe8yzmMb6r7hSmoJpqKuW2zlYGj5hu8iOzqSoOZtpUyb5hGtq4bqWRpkjyX/2LYg0MlCBhqGZIOgmyQntmN5SIw/PFxUIJBIxuYqVo4rCNvu1NIsHAKiCAk6NEQkkUDcp1ODqllJSVD2opwgNA1YyrE7kYbQpElQGViYv+UeBqapqSLwzqsGMDImy2HRdt6Elx5PeLHRJLGG7U7HCIn6lqr2PCmXQbH+YMAfOJyjsQ1UQyP5pzVA+BTM0vmxxQcmENMEhC5LwS3MX55abIOwe6ANiLGuJZDAEhX3ALD0EH908b7lGLaqQ7fY2H6pu/LhRXecn2X94SNLgHHeEN0DpUI8v+QytK08LSKC4T7JFESE0ip0Z8/294tyf1KvZZuaTavfQDGjO5PKqAkczAmM06BuamfEVK5T60iEtzr+ji1GPEuzYS7AMXwgEKFZP+Nn/Swd2Nxn9DtCZnNMB3nU09XbqKnmAEw2tW5gmkBsU2tznOvLN+Q3JkA7qwwaAm7NpTs6M3cENm7cFB8UQKIlle5BDpIaolLULwpytj/WUUMRdk5GlWo5iVV6WaYTb5HiQb6jb/MG1h4Y6Kxn7nCC/janm0l0gvqk3dHL40X0eJalmTLDEMNHGO+ZWtCGBo2UrbhjAYZ7yoLYJI0H7yuQlNkOHhknOoTvvl0sd+D+WPSihP863kQ06Z7YYKmVVCBAbUEZKsAEeIoVqrlwNSNQG9u6JxvLbrovK8EjpQ6WiQybFyRfFBXHSENpovGyYj/hiZ1U0qNPepSGORNhSJdZuZMJunN+9NAtTUfnO4tGVgoY6mDJrXuipPrsYC4riY4kKZmszgiDPKcmoSPK0+UrpoU8N4QQrWN3jA0JU+WTBd1NkFgZmmVohp3J0aTNoabqKsln6bc8/7A7HiTJfuFSAxulIZmURb5UDealxRYW1IlgPd8XYXhBEI5f3mgBiiMmQigys9QKw8Vs2ICOX7jUoAyxn8GTuQVrWpXc2b+RRT9kRBmGZYEPBphIMCIlw7wMAwLHg7CUZAXmRTL6VJGgeMU0kWXTGIpk2Nt5d7ZSBzlvxtRybJALkUhryEAWNUeCXU6yCXkx4BrKtKCGgHSocQPdCEQF0l0l/bnFpr4t9W0tjc8l6MVComPm/IemaCBsqLJc6IIWKYw7IWrIkciwtGCBYHXW97nTERhKBuVgSBAYEJElmW4gY2gB7f+yG/cmbRFohHtGdI8qXK2vmuc5Xw2lg9pIiJSp9Dm6t+DFaqTeWHb3jQ9eWVF6lj80Wh99rW7lP0//tvrnJ9a2nGxNozd27hu5WVl11RdftsycklOze5LNv38FT063dLwSvebce0N5NHpoOzu1ei/r7x2RTm2uvic/N7m3kP1t1LhuxQ4r+/KjB7f9wCW2HT9b3/0v6+rRRyaiDzzL1a05tSy6YoSauWb92LZdD5/738yy4C1MR4/Q+tajn37+H/6Ds1sfb/v46+n4ofboldvenLv2zevPDzzBFuOHv+F2X/3IzjUNK1efmVUfYH/56PWrrlv3Y92r195ot+//++G2X9fSZ/Z/cNuuL6jkP44FC3tOx6q4hLDjnQ/Pnjz+Sc/98a/rr5j+KLKyeu7D4Vc/G+oaGNq9s2bHs2Mj5vLQmu/19XN7nrlvbPeqUab2va13yz03U0+2/fjl9ui63n3VMFt3JL5miPop/sdj34VPN+r6wQufZetazSsmzBt27f5h+FhwxX9vP58+Zf/7JmbF3nv3+Vv1W8+8//Nrvf673LZnDkJhz9sPrT//7dqKigsXlle8tSomnvtLRcWfdb9bGA==

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

@@ -0,0 +1 @@
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

docs/cassettes/qa_chat_history_d6d70833-b958-4cd7-9e27-29c1c08bb1b8.msgpack.zlib

@@ -1 +0,0 @@
-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

docs/cassettes/qa_chat_history_how_to_52ae46d9-43f7-481b-96d5-df750be3ad65.msgpack.zlib

@@ -1 +0,0 @@
-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

docs/cassettes/qa_chat_history_how_to_d6d70833-b958-4cd7-9e27-29c1c08bb1b8.msgpack.zlib

@@ -1 +0,0 @@
-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

docs/cassettes/qa_chat_history_how_to_e59541dd-405b-4032-847f-73becf6aefd0.msgpack.zlib

@@ -0,0 +1 @@
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

docs/cassettes/qa_citations_2e2b7a87-3642-4ed8-9445-684daa93b0d7.msgpack.zlib

@@ -1 +0,0 @@
-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