langchain[patch], experimental[patch]: update utilities imports (langchain-ai#15438)

Author: baskaryan

cookbook/LLaMA2_sql_chat.ipynb

@@ -107,7 +107,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.utilities import SQLDatabase\n",
+    "from langchain_community.utilities import SQLDatabase\n",
     "\n",
     "db = SQLDatabase.from_uri(\"sqlite:///nba_roster.db\", sample_rows_in_table_info=0)\n",
     "\n",

cookbook/autogpt/autogpt.ipynb

@@ -28,9 +28,9 @@
    "outputs": [],
    "source": [
     "from langchain.agents import Tool\n",
-    "from langchain.utilities import SerpAPIWrapper\n",
     "from langchain_community.tools.file_management.read import ReadFileTool\n",
     "from langchain_community.tools.file_management.write import WriteFileTool\n",
+    "from langchain_community.utilities import SerpAPIWrapper\n",
     "\n",
     "search = SerpAPIWrapper()\n",
     "tools = [\n",

cookbook/baby_agi_with_agent.ipynb

@@ -108,8 +108,8 @@
    "source": [
     "from langchain.agents import AgentExecutor, Tool, ZeroShotAgent\n",
     "from langchain.chains import LLMChain\n",
-    "from langchain.utilities import SerpAPIWrapper\n",
     "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import SerpAPIWrapper\n",
     "\n",
     "todo_prompt = PromptTemplate.from_template(\n",
     "    \"You are a planner who is an expert at coming up with a todo list for a given objective. Come up with a todo list for this objective: {objective}\"\n",

cookbook/custom_agent_with_tool_retrieval.ipynb

@@ -41,8 +41,8 @@
     "from langchain.chains import LLMChain\n",
     "from langchain.prompts import StringPromptTemplate\n",
     "from langchain.schema import AgentAction, AgentFinish\n",
-    "from langchain.utilities import SerpAPIWrapper\n",
-    "from langchain_community.llms import OpenAI"
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import SerpAPIWrapper"
    ]
   },
   {

cookbook/custom_multi_action_agent.ipynb

@@ -26,7 +26,7 @@
    "outputs": [],
    "source": [
     "from langchain.agents import AgentExecutor, BaseMultiActionAgent, Tool\n",
-    "from langchain.utilities import SerpAPIWrapper"
+    "from langchain_community.utilities import SerpAPIWrapper"
    ]
   },
   {

cookbook/databricks_sql_db.ipynb

@@ -80,7 +80,7 @@
    "outputs": [],
    "source": [
     "# Connecting to Databricks with SQLDatabase wrapper\n",
-    "from langchain.utilities import SQLDatabase\n",
+    "from langchain_community.utilities import SQLDatabase\n",
     "\n",
     "db = SQLDatabase.from_databricks(catalog=\"samples\", schema=\"nyctaxi\")"
    ]
@@ -115,7 +115,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.utilities import SQLDatabaseChain\n",
+    "from langchain_community.utilities import SQLDatabaseChain\n",
     "\n",
     "db_chain = SQLDatabaseChain.from_llm(llm, db, verbose=True)"
    ]

cookbook/forward_looking_retrieval_augmented_generation.ipynb

@@ -74,9 +74,9 @@
     "    CallbackManagerForRetrieverRun,\n",
     ")\n",
     "from langchain.schema import BaseRetriever, Document\n",
-    "from langchain.utilities import GoogleSerperAPIWrapper\n",
     "from langchain_community.chat_models import ChatOpenAI\n",
-    "from langchain_community.llms import OpenAI"
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import GoogleSerperAPIWrapper"
    ]
   },
   {

cookbook/myscale_vector_sql.ipynb

@@ -32,8 +32,8 @@
     "\n",
     "from langchain.chains import LLMChain\n",
     "from langchain.prompts import PromptTemplate\n",
-    "from langchain.utilities import SQLDatabase\n",
     "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import SQLDatabase\n",
     "from langchain_experimental.sql.vector_sql import VectorSQLDatabaseChain\n",
     "from sqlalchemy import MetaData, create_engine\n",
     "\n",
@@ -75,8 +75,8 @@
    "outputs": [],
    "source": [
     "from langchain.callbacks import StdOutCallbackHandler\n",
-    "from langchain.utilities.sql_database import SQLDatabase\n",
     "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities.sql_database import SQLDatabase\n",
     "from langchain_experimental.sql.prompt import MYSCALE_PROMPT\n",
     "from langchain_experimental.sql.vector_sql import VectorSQLDatabaseChain\n",
     "\n",

cookbook/plan_and_execute_agent.ipynb

@@ -30,9 +30,9 @@
    "outputs": [],
    "source": [
     "from langchain.chains import LLMMathChain\n",
-    "from langchain.utilities import DuckDuckGoSearchAPIWrapper\n",
     "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import DuckDuckGoSearchAPIWrapper\n",
     "from langchain_core.tools import Tool\n",
     "from langchain_experimental.plan_and_execute import (\n",
     "    PlanAndExecute,\n",

cookbook/rewrite.ipynb

@@ -32,8 +32,8 @@
    "outputs": [],
    "source": [
     "from langchain.prompts import ChatPromptTemplate\n",
-    "from langchain.utilities import DuckDuckGoSearchAPIWrapper\n",
     "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.utilities import DuckDuckGoSearchAPIWrapper\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough"
    ]