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

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This commit is contained in:
Bagatur
2024-01-03 02:18:15 -05:00
committed by GitHub
parent 73da8f863c
commit baeac236b6
124 changed files with 289 additions and 266 deletions
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2
cookbook/LLaMA2_sql_chat.ipynb
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@@ -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",

2
cookbook/autogpt/autogpt.ipynb
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@@ -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",

2
cookbook/baby_agi_with_agent.ipynb
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@@ -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",

4
cookbook/custom_agent_with_tool_retrieval.ipynb
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@@ -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"
]
},
{

2
cookbook/custom_multi_action_agent.ipynb
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@@ -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"
]
},
{

4
cookbook/databricks_sql_db.ipynb
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@@ -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)"
]

4
cookbook/forward_looking_retrieval_augmented_generation.ipynb
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@@ -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"
]
},
{

4
cookbook/myscale_vector_sql.ipynb
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@@ -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",

2
cookbook/plan_and_execute_agent.ipynb
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@@ -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",

2
cookbook/rewrite.ipynb
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@@ -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"
]

4
cookbook/sharedmemory_for_tools.ipynb
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@@ -26,8 +26,8 @@
"from langchain.chains import LLMChain\n",
"from langchain.memory import ConversationBufferMemory, ReadOnlySharedMemory\n",
"from langchain.prompts import PromptTemplate\n",
"from langchain.utilities import GoogleSearchAPIWrapper\n",
"from langchain_community.llms import OpenAI"
"from langchain_community.llms import OpenAI\n",
"from langchain_community.utilities import GoogleSearchAPIWrapper"
]
},
{

6
cookbook/sql_db_qa.mdx
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@@ -10,7 +10,7 @@ To set it up, follow the instructions on https://database.guide/2-sample-databas
```python
from langchain_community.llms import OpenAI
from langchain.utilities import SQLDatabase
from langchain_community.utilities import SQLDatabase
from langchain_experimental.sql import SQLDatabaseChain
```
@@ -201,7 +201,7 @@ How to add memory to a SQLDatabaseChain:
```python
from langchain_community.llms import OpenAI
from langchain.utilities import SQLDatabase
from langchain_community.utilities import SQLDatabase
from langchain_experimental.sql import SQLDatabaseChain
```
@@ -679,7 +679,7 @@ local_llm = HuggingFacePipeline(pipeline=pipe)
```python
from langchain.utilities import SQLDatabase
from langchain_community.utilities import SQLDatabase
from langchain_experimental.sql import SQLDatabaseChain
db = SQLDatabase.from_uri("sqlite:///../../../../notebooks/Chinook.db", include_tables=['Customer'])

2
cookbook/stepback-qa.ipynb
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@@ -129,7 +129,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.utilities import DuckDuckGoSearchAPIWrapper\n",
"from langchain_community.utilities import DuckDuckGoSearchAPIWrapper\n",
"\n",
"search = DuckDuckGoSearchAPIWrapper(max_results=4)\n",
"\n",