Merge branch 'master' into fix/support_infinity_max_token_litellm

docs/docs/integrations/llms/octoai.ipynb

@@ -67,7 +67,7 @@
    "outputs": [],
    "source": [
     "llm = OctoAIEndpoint(\n",
-    "    model=\"llama-2-13b-chat-fp16\",\n",
+    "    model_name=\"llama-2-13b-chat-fp16\",\n",
     "    max_tokens=200,\n",
     "    presence_penalty=0,\n",
     "    temperature=0.1,\n",
@@ -83,9 +83,9 @@
    "source": [
     "question = \"Who was Leonardo da Vinci?\"\n",
     "\n",
-    "llm_chain = LLMChain(prompt=prompt, llm=llm)\n",
+    "chain = prompt | llm\n",
     "\n",
-    "print(llm_chain.run(question))"
+    "print(chain.invoke(question))"
    ]
   },
   {

docs/docs/integrations/providers/myscale.mdx

@@ -35,7 +35,7 @@ There are two ways to set up parameters for myscale index.
 
     ```python
     from langchain_community.vectorstores import MyScale, MyScaleSettings
-    config = MyScaleSetting(host="<your-backend-url>", port=8443, ...)
+    config = MyScaleSettings(host="<your-backend-url>", port=8443, ...)
     index = MyScale(embedding_function, config)
     index.add_documents(...)
     ```