diff --git a/.github/actions/poetry_setup/action.yml b/.github/actions/poetry_setup/action.yml
index 22dcb05e16e07..d1342465c34bd 100644
--- a/.github/actions/poetry_setup/action.yml
+++ b/.github/actions/poetry_setup/action.yml
@@ -39,10 +39,35 @@ runs:
       with:
         path: |
           /opt/pipx/venvs/poetry
-          /opt/pipx_bin/poetry
         # This step caches the poetry installation, so make sure it's keyed on the poetry version as well.
         key: bin-poetry-${{ runner.os }}-${{ runner.arch }}-py-${{ inputs.python-version }}-${{ inputs.poetry-version }}
 
+    - name: Refresh shell hashtable and fixup softlinks
+      if: steps.cache-bin-poetry.outputs.cache-hit == 'true'
+      shell: bash
+      env:
+        POETRY_VERSION: ${{ inputs.poetry-version }}
+        PYTHON_VERSION: ${{ inputs.python-version }}
+      run: |
+        set -eux
+
+        # Refresh the shell hashtable, to ensure correct `which` output.
+        hash -r
+
+        # `actions/cache@v3` doesn't always seem able to correctly unpack softlinks.
+        # Delete and recreate the softlinks pipx expects to have.
+        rm /opt/pipx/venvs/poetry/bin/python
+        cd /opt/pipx/venvs/poetry/bin
+        ln -s "$(which "python$PYTHON_VERSION")" python
+        chmod +x python
+        cd /opt/pipx_bin/
+        ln -s /opt/pipx/venvs/poetry/bin/poetry poetry
+        chmod +x poetry
+
+        # Ensure everything got set up correctly.
+        /opt/pipx/venvs/poetry/bin/python --version
+        /opt/pipx_bin/poetry --version
+
     - name: Install poetry
       if: steps.cache-bin-poetry.outputs.cache-hit != 'true'
       shell: bash
diff --git a/.github/workflows/langchain_ci.yml b/.github/workflows/langchain_ci.yml
index 8f1fc5d874413..125f4b3147e0b 100644
--- a/.github/workflows/langchain_ci.yml
+++ b/.github/workflows/langchain_ci.yml
@@ -6,6 +6,8 @@ on:
     branches: [ master ]
   pull_request:
     paths:
+      - '.github/actions/poetry_setup/action.yml'
+      - '.github/tools/**'
       - '.github/workflows/_lint.yml'
       - '.github/workflows/_test.yml'
       - '.github/workflows/_pydantic_compatibility.yml'
diff --git a/.github/workflows/langchain_experimental_ci.yml b/.github/workflows/langchain_experimental_ci.yml
index 5b00365f82fa6..6e07a5ae1b4f8 100644
--- a/.github/workflows/langchain_experimental_ci.yml
+++ b/.github/workflows/langchain_experimental_ci.yml
@@ -6,6 +6,8 @@ on:
     branches: [ master ]
   pull_request:
     paths:
+      - '.github/actions/poetry_setup/action.yml'
+      - '.github/tools/**'
       - '.github/workflows/_lint.yml'
       - '.github/workflows/_test.yml'
       - '.github/workflows/langchain_experimental_ci.yml'
diff --git a/docs/docs_skeleton/docs/use_cases/question_answering/_category_.yml b/docs/docs_skeleton/docs/use_cases/question_answering/_category_.yml
new file mode 100644
index 0000000000000..7c931cf41b79f
--- /dev/null
+++ b/docs/docs_skeleton/docs/use_cases/question_answering/_category_.yml
@@ -0,0 +1 @@
+position: 0
diff --git a/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx b/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx
index ce28ca3839528..0adf1130b77bf 100644
--- a/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx
+++ b/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx
@@ -1,7 +1,3 @@
----
-sidebar_position: 3
----
-
 # Web Scraping
 
 Web scraping has historically been a challenging endeavor due to the ever-changing nature of website structures, making it tedious for developers to maintain their scraping scripts. Traditional methods often rely on specific HTML tags and patterns which, when altered, can disrupt data extraction processes.
diff --git a/docs/extras/use_cases/more/_category_.yml b/docs/extras/use_cases/more/_category_.yml
index 5e1490ecde043..ee76dee18f126 100644
--- a/docs/extras/use_cases/more/_category_.yml
+++ b/docs/extras/use_cases/more/_category_.yml
@@ -1,2 +1 @@
 label: 'More'
-position: 1
diff --git a/docs/extras/use_cases/more/code_writing/index.mdx b/docs/extras/use_cases/more/code_writing/index.mdx
index 4dd704b5a0a63..218b43851590d 100644
--- a/docs/extras/use_cases/more/code_writing/index.mdx
+++ b/docs/extras/use_cases/more/code_writing/index.mdx
@@ -1,7 +1,3 @@
----
-sidebar_position: 0
----
-
 # Code writing
 
 :::warning
diff --git a/docs/extras/use_cases/more/self_check/index.mdx b/docs/extras/use_cases/more/self_check/index.mdx
index 9880394eb5a25..a424ea43701f1 100644
--- a/docs/extras/use_cases/more/self_check/index.mdx
+++ b/docs/extras/use_cases/more/self_check/index.mdx
@@ -1,7 +1,3 @@
----
-sidebar_position: 0
----
-
 # Self-checking
 
 One of the main issues with using LLMs is that they can often hallucinate and make false claims. One of the surprisingly effective ways to remediate this is to use the LLM itself to check its own answers.
diff --git a/libs/langchain/langchain/chains/graph_qa/sparql.py b/libs/langchain/langchain/chains/graph_qa/sparql.py
index eb8a365d76ac8..2e1c017748bb4 100644
--- a/libs/langchain/langchain/chains/graph_qa/sparql.py
+++ b/libs/langchain/langchain/chains/graph_qa/sparql.py
@@ -84,17 +84,17 @@ def _call(
         _intent = self.sparql_intent_chain.run({"prompt": prompt}, callbacks=callbacks)
         intent = _intent.strip()
 
-        if "SELECT" not in intent and "UPDATE" not in intent:
-            raise ValueError(
-                "I am sorry, but this prompt seems to fit none of the currently "
-                "supported SPARQL query types, i.e., SELECT and UPDATE."
-            )
-        elif intent.find("SELECT") < intent.find("UPDATE"):
+        if "SELECT" in intent and "UPDATE" not in intent:
             sparql_generation_chain = self.sparql_generation_select_chain
             intent = "SELECT"
-        else:
+        elif "UPDATE" in intent and "SELECT" not in intent:
             sparql_generation_chain = self.sparql_generation_update_chain
             intent = "UPDATE"
+        else:
+            raise ValueError(
+                "I am sorry, but this prompt seems to fit none of the currently "
+                "supported SPARQL query types, i.e., SELECT and UPDATE."
+            )
 
         _run_manager.on_text("Identified intent:", end="\n", verbose=self.verbose)
         _run_manager.on_text(intent, color="green", end="\n", verbose=self.verbose)
diff --git a/libs/langchain/langchain/document_loaders/async_html.py b/libs/langchain/langchain/document_loaders/async_html.py
index 286319a5ee6a4..80436bfec601b 100644
--- a/libs/langchain/langchain/document_loaders/async_html.py
+++ b/libs/langchain/langchain/document_loaders/async_html.py
@@ -1,7 +1,8 @@
 import asyncio
 import logging
 import warnings
-from typing import Any, Dict, Iterator, List, Optional, Union
+from concurrent.futures import ThreadPoolExecutor
+from typing import Any, Dict, Iterator, List, Optional, Union, cast
 
 import aiohttp
 import requests
@@ -129,9 +130,18 @@ def lazy_load(self) -> Iterator[Document]:
     def load(self) -> List[Document]:
         """Load text from the url(s) in web_path."""
 
-        results = asyncio.run(self.fetch_all(self.web_paths))
+        try:
+            # Raises RuntimeError if there is no current event loop.
+            asyncio.get_running_loop()
+            # If there is a current event loop, we need to run the async code
+            # in a separate loop, in a separate thread.
+            with ThreadPoolExecutor(max_workers=1) as executor:
+                future = executor.submit(asyncio.run, self.fetch_all(self.web_paths))
+                results = future.result()
+        except RuntimeError:
+            results = asyncio.run(self.fetch_all(self.web_paths))
         docs = []
-        for i, text in enumerate(results):
+        for i, text in enumerate(cast(List[str], results)):
             metadata = {"source": self.web_paths[i]}
             docs.append(Document(page_content=text, metadata=metadata))
 
diff --git a/libs/langchain/langchain/llms/huggingface_text_gen_inference.py b/libs/langchain/langchain/llms/huggingface_text_gen_inference.py
index 6545078f1699c..683b2f4dde361 100644
--- a/libs/langchain/langchain/llms/huggingface_text_gen_inference.py
+++ b/libs/langchain/langchain/llms/huggingface_text_gen_inference.py
@@ -65,7 +65,7 @@ class HuggingFaceTextGenInference(LLM):
     typical_p: Optional[float] = 0.95
     """Typical Decoding mass. See [Typical Decoding for Natural Language
     Generation](https://arxiv.org/abs/2202.00666) for more information."""
-    temperature: float = 0.8
+    temperature: Optional[float] = 0.8
     """The value used to module the logits distribution."""
     repetition_penalty: Optional[float] = None
     """The parameter for repetition penalty. 1.0 means no penalty.
diff --git a/libs/langchain/langchain/output_parsers/__init__.py b/libs/langchain/langchain/output_parsers/__init__.py
index f029f52bfb82f..d3d49c6bd2fdf 100644
--- a/libs/langchain/langchain/output_parsers/__init__.py
+++ b/libs/langchain/langchain/output_parsers/__init__.py
@@ -20,6 +20,7 @@
 from langchain.output_parsers.list import (
     CommaSeparatedListOutputParser,
     ListOutputParser,
+    NumberedListOutputParser,
 )
 from langchain.output_parsers.pydantic import PydanticOutputParser
 from langchain.output_parsers.rail_parser import GuardrailsOutputParser
@@ -36,6 +37,7 @@
     "EnumOutputParser",
     "GuardrailsOutputParser",
     "ListOutputParser",
+    "NumberedListOutputParser",
     "OutputFixingParser",
     "PydanticOutputParser",
     "RegexDictParser",
diff --git a/libs/langchain/pyproject.toml b/libs/langchain/pyproject.toml
index d1aedbb544cd2..e9df12a9911b2 100644
--- a/libs/langchain/pyproject.toml
+++ b/libs/langchain/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain"
-version = "0.0.281"
+version = "0.0.282"
 description = "Building applications with LLMs through composability"
 authors = []
 license = "MIT"