bump version to 131 (#2391)

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Harrison Chase 2023-04-04 07:21:50 -07:00 committed by GitHub
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31 changed files with 50 additions and 37 deletions

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@ -206,7 +206,7 @@
"outputs": [],
"source": [
"from langchain.agents import initialize_agent, load_tools\n",
"from langchain.agents.agent_types import AgentType"
"from langchain.agents import AgentType"
]
},
{

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@ -520,7 +520,7 @@
],
"source": [
"from langchain.agents import initialize_agent, load_tools\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"\n",
"# SCENARIO 2 - Agent with Tools\n",
"tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm, callback_manager=manager)\n",

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@ -23,7 +23,7 @@ You can use it as part of a Self Ask chain:
from langchain.utilities import GoogleSerperAPIWrapper
from langchain.llms.openai import OpenAI
from langchain.agents import initialize_agent, Tool
from langchain.agents.agent_types import AgentType
from langchain.agents import AgentType
import os

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@ -506,7 +506,7 @@
"outputs": [],
"source": [
"from langchain.agents import initialize_agent, load_tools\n",
"from langchain.agents.agent_types import AgentType"
"from langchain.agents import AgentType"
]
},
{

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@ -197,7 +197,7 @@ Now we can get started!
```python
from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents.agent_types import AgentType
from langchain.agents import AgentType
from langchain.llms import OpenAI
# First, let's load the language model we're going to use to control the agent.
@ -410,7 +410,7 @@ Agents can also be used with chat models, you can initialize one using `AgentTyp
```python
from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents.agent_types import AgentType
from langchain.agents import AgentType
from langchain.chat_models import ChatOpenAI
from langchain.llms import OpenAI

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@ -154,7 +154,7 @@
"source": [
"# Import things that are needed generically\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.tools import BaseTool\n",
"from langchain.llms import OpenAI\n",
"from langchain import LLMMathChain, SerpAPIWrapper"

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@ -39,7 +39,7 @@
"import time\n",
"\n",
"from langchain.agents import initialize_agent, load_tools\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.llms import OpenAI\n",
"from langchain.callbacks.stdout import StdOutCallbackHandler\n",
"from langchain.callbacks.base import CallbackManager\n",

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@ -19,7 +19,7 @@
"source": [
"from langchain.agents import load_tools\n",
"from langchain.agents import initialize_agent\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.llms import OpenAI"
]
},

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@ -19,7 +19,7 @@
"source": [
"from langchain.agents import load_tools\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.llms import OpenAI"
]
},

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@ -35,7 +35,7 @@
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.utilities import SerpAPIWrapper\n",
"from langchain.agents import initialize_agent\n",
"from langchain.agents.agent_types import AgentType"
"from langchain.agents import AgentType"
]
},
{

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@ -20,7 +20,7 @@
"outputs": [],
"source": [
"from langchain.agents import Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.memory import ConversationBufferMemory\n",
"from langchain import OpenAI\n",
"from langchain.utilities import GoogleSearchAPIWrapper\n",

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@ -28,7 +28,7 @@
"source": [
"from langchain import LLMMathChain, OpenAI, SerpAPIWrapper, SQLDatabase, SQLDatabaseChain\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType"
"from langchain.agents import AgentType"
]
},
{

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@ -28,7 +28,7 @@
"source": [
"from langchain import OpenAI, LLMMathChain, SerpAPIWrapper, SQLDatabase, SQLDatabaseChain\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.chat_models import ChatOpenAI"
]
},

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@ -19,7 +19,7 @@
"source": [
"from langchain import OpenAI, Wikipedia\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.agents.react.base import DocstoreExplorer\n",
"docstore=DocstoreExplorer(Wikipedia())\n",
"tools = [\n",

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@ -46,7 +46,7 @@
"source": [
"from langchain import OpenAI, SerpAPIWrapper\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"\n",
"llm = OpenAI(temperature=0)\n",
"search = SerpAPIWrapper()\n",

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@ -27,7 +27,7 @@
"source": [
"# Import things that are needed generically\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.tools import BaseTool\n",
"from langchain.llms import OpenAI\n",
"from langchain import LLMMathChain, SerpAPIWrapper"
@ -485,7 +485,7 @@
"source": [
"# Import things that are needed generically\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.llms import OpenAI\n",
"from langchain import LLMMathChain, SerpAPIWrapper\n",
"search = SerpAPIWrapper()\n",

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@ -23,7 +23,7 @@
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.agents import load_tools, initialize_agent\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.tools import AIPluginTool"
]
},

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@ -115,7 +115,7 @@
"from langchain.utilities import GoogleSerperAPIWrapper\n",
"from langchain.llms.openai import OpenAI\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"\n",
"llm = OpenAI(temperature=0)\n",
"search = GoogleSerperAPIWrapper()\n",

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@ -20,7 +20,7 @@
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.llms import OpenAI\n",
"from langchain.agents import load_tools, initialize_agent\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"\n",
"llm = ChatOpenAI(temperature=0.0)\n",
"math_llm = OpenAI(temperature=0.0)\n",

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@ -23,7 +23,7 @@
"source": [
"from langchain.agents import load_tools\n",
"from langchain.agents import initialize_agent\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.llms import OpenAI"
]
},

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@ -77,7 +77,7 @@
"from langchain.llms import OpenAI\n",
"from langchain.agents import initialize_agent\n",
"from langchain.agents.agent_toolkits import ZapierToolkit\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.utilities.zapier import ZapierNLAWrapper"
]
},

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@ -24,7 +24,7 @@
"source": [
"from langchain.llms import OpenAI\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType"
"from langchain.agents import AgentType"
]
},
{

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@ -32,7 +32,7 @@
"source": [
"from langchain.agents import load_tools\n",
"from langchain.agents import initialize_agent\n",
"from langchain.agents.agent_types import AgentType"
"from langchain.agents import AgentType"
]
},
{

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@ -107,7 +107,7 @@
"source": [
"from langchain.agents import load_tools\n",
"from langchain.agents import initialize_agent\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.llms import OpenAI\n",
"\n",
"llm = OpenAI(temperature=0)\n",

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@ -1,11 +1,10 @@
{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# OpenAI\n",
"# GPT4all\n",
"\n",
"This example goes over how to use LangChain to interact with GPT4All models"
]
@ -75,10 +74,23 @@
}
],
"metadata": {
"language_info": {
"name": "python"
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"orig_nbformat": 4
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
}
},
"nbformat": 4,
"nbformat_minor": 2

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@ -35,7 +35,7 @@
"\n",
"import langchain\n",
"from langchain.agents import Tool, initialize_agent, load_tools\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.llms import OpenAI"
]

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@ -85,7 +85,7 @@
"from langchain.llms import OpenAI\n",
"from langchain.chains import LLMMathChain\n",
"from langchain.agents import initialize_agent, Tool, load_tools\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"\n",
"tools = load_tools(['serpapi', 'llm-math'], llm=OpenAI(temperature=0))\n",
"agent = initialize_agent(tools, OpenAI(temperature=0), agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION)\n"

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@ -255,7 +255,7 @@
"outputs": [],
"source": [
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents.agent_types import AgentType\n",
"from langchain.agents import AgentType\n",
"tools = [\n",
" Tool(\n",
" name = \"State of Union QA System\",\n",

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@ -15,6 +15,7 @@ from langchain.agents.agent_toolkits import (
create_vectorstore_agent,
create_vectorstore_router_agent,
)
from langchain.agents.agent_types import AgentType
from langchain.agents.conversational.base import ConversationalAgent
from langchain.agents.conversational_chat.base import ConversationalChatAgent
from langchain.agents.initialize import initialize_agent
@ -51,4 +52,5 @@ __all__ = [
"LLMSingleActionAgent",
"AgentOutputParser",
"BaseSingleActionAgent",
"AgentType",
]

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@ -1,6 +1,6 @@
[tool.poetry]
name = "langchain"
version = "0.0.130"
version = "0.0.131"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"

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@ -4,8 +4,7 @@ from typing import Any, List, Mapping, Optional
from pydantic import BaseModel
from langchain.agents import AgentExecutor, initialize_agent
from langchain.agents.agent_types import AgentType
from langchain.agents import AgentExecutor, AgentType, initialize_agent
from langchain.agents.tools import Tool
from langchain.callbacks.base import CallbackManager
from langchain.llms.base import LLM