experimental: migrate to external repo (langchain-ai#26879)

security scanners can't distinguish monorepo sources from each other.
this will resolve issues for folks trying to use e.g. langchain-core but
getting security issues from experimental flagged!

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,7 +1,7 @@
 Thank you for contributing to LangChain!
 
 - [ ] **PR title**: "package: description"
-  - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes.
+  - Where "package" is whichever of langchain, community, core, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes.
   - Example: "community: add foobar LLM"
 
 

.github/scripts/check_diff.py

@@ -15,7 +15,6 @@
     "libs/text-splitters",
     "libs/langchain",
     "libs/community",
-    "libs/experimental",
 ]
 
 # when set to True, we are ignoring core dependents
@@ -153,14 +152,19 @@ def _get_pydantic_test_configs(
     core_min_pydantic_version = get_min_version_from_toml(
         "./libs/core/pyproject.toml", "release", python_version, include=["pydantic"]
     )["pydantic"]
-    core_min_pydantic_minor = core_min_pydantic_version.split(".")[1] if "." in core_min_pydantic_version else "0"
-    dir_min_pydantic_version = (
-        get_min_version_from_toml(
-            f"./{dir_}/pyproject.toml", "release", python_version, include=["pydantic"]
-        )
-        .get("pydantic", "0.0.0")
+    core_min_pydantic_minor = (
+        core_min_pydantic_version.split(".")[1]
+        if "." in core_min_pydantic_version
+        else "0"
+    )
+    dir_min_pydantic_version = get_min_version_from_toml(
+        f"./{dir_}/pyproject.toml", "release", python_version, include=["pydantic"]
+    ).get("pydantic", "0.0.0")
+    dir_min_pydantic_minor = (
+        dir_min_pydantic_version.split(".")[1]
+        if "." in dir_min_pydantic_version
+        else "0"
     )
-    dir_min_pydantic_minor = dir_min_pydantic_version.split(".")[1] if "." in dir_min_pydantic_version else "0"
 
     custom_mins = {
         # depends on pydantic-settings 2.4 which requires pydantic 2.7

.github/workflows/_test_doc_imports.yml

@@ -31,7 +31,7 @@ jobs:
 
       - name: Install langchain editable
         run: |
-          poetry run pip install -e libs/core libs/langchain libs/community libs/experimental
+          poetry run pip install -e libs/core libs/langchain libs/community
 
       - name: Check doc imports
         shell: bash

docs/api_reference/conf.py

@@ -26,7 +26,6 @@
 _DIR = Path(__file__).parent.absolute()
 sys.path.insert(0, os.path.abspath("."))
 sys.path.insert(0, os.path.abspath("../../libs/langchain"))
-sys.path.insert(0, os.path.abspath("../../libs/experimental"))
 
 with (_DIR.parents[1] / "libs" / "langchain" / "pyproject.toml").open("r") as f:
     data = toml.load(f)

docs/docs/contributing/code/setup.mdx

@@ -73,9 +73,9 @@ make docker_tests
 
 There are also [integration tests and code-coverage](/docs/contributing/testing/) available.
 
-### Only develop langchain_core or langchain_experimental
+### Only develop langchain_core or langchain_community
 
-If you are only developing `langchain_core` or `langchain_experimental`, you can simply install the dependencies for the respective projects and run tests:
+If you are only developing `langchain_core` or `langchain_community`, you can simply install the dependencies for the respective projects and run tests:
 
 ```bash
 cd libs/core
@@ -86,7 +86,7 @@ make test
 Or:
 
 ```bash
-cd libs/experimental
+cd libs/community
 poetry install --with test
 make test
 ```

docs/vercel_requirements.txt

@@ -1,7 +1,6 @@
 -e ../libs/core
 -e ../libs/langchain
 -e ../libs/community
--e ../libs/experimental
 -e ../libs/text-splitters
 langchain-cohere
 urllib3==1.26.19

libs/experimental/README.md

@@ -1,16 +1,3 @@
-# 🦜️🧪 LangChain Experimental
+This package has moved!
 
-This package holds experimental LangChain code, intended for research and experimental
-uses.
-
-> [!WARNING]
-> Portions of the code in this package may be dangerous if not properly deployed
-> in a sandboxed environment. Please be wary of deploying experimental code
-> to production unless you've taken appropriate precautions and
-> have already discussed it with your security team.
-
-Some of the code here may be marked with security notices. However,
-given the exploratory and experimental nature of the code in this package,
-the lack of a security notice on a piece of code does not mean that
-the code in question does not require additional security considerations
-in order to be safe to use.
+https://github.com/langchain-ai/langchain-experimental/tree/main/libs/experimental