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[Docs] Add ruff linting to .ipynb files (#645)

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This commit is contained in:
William FH
2024-06-11 18:02:49 -07:00
committed by GitHub
parent 854bf2c295
commit 4eab1739da
67 changed files with 741 additions and 850 deletions
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examples/agent_executor/base.ipynb
+6 -4
View File
@@ -45,8 +45,8 @@
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import getpass\n",
"import os\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
"os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -90,8 +90,8 @@
"source": [
"from langchain import hub\n",
"from langchain.agents import create_openai_functions_agent\n",
"from langchain_openai.chat_models import ChatOpenAI\n",
"from langchain_community.tools.tavily_search import TavilySearchResults\n",
"from langchain_openai.chat_models import ChatOpenAI\n",
"\n",
"tools = [TavilySearchResults(max_results=1)]\n",
"\n",
@@ -127,10 +127,11 @@
"metadata": {},
"outputs": [],
"source": [
"from typing import TypedDict, Annotated, List, Union\n",
"import operator\n",
"from typing import Annotated, TypedDict, Union\n",
"\n",
"from langchain_core.agents import AgentAction, AgentFinish\n",
"from langchain_core.messages import BaseMessage\n",
"import operator\n",
"\n",
"\n",
"class AgentState(TypedDict):\n",
@@ -182,6 +183,7 @@
"outputs": [],
"source": [
"from langchain_core.agents import AgentFinish\n",
"\n",
"from langgraph.prebuilt.tool_executor import ToolExecutor\n",
"\n",
"# This a helper class we have that is useful for running tools\n",
examples/agent_executor/force-calling-a-tool-first.ipynb
+6 -4
View File
@@ -50,8 +50,8 @@
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import getpass\n",
"import os\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
"os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -95,8 +95,8 @@
"source": [
"from langchain import hub\n",
"from langchain.agents import create_openai_functions_agent\n",
"from langchain_openai.chat_models import ChatOpenAI\n",
"from langchain_community.tools.tavily_search import TavilySearchResults\n",
"from langchain_openai.chat_models import ChatOpenAI\n",
"\n",
"tools = [TavilySearchResults(max_results=1)]\n",
"\n",
@@ -132,10 +132,11 @@
"metadata": {},
"outputs": [],
"source": [
"from typing import TypedDict, Annotated, List, Union\n",
"import operator\n",
"from typing import Annotated, TypedDict, Union\n",
"\n",
"from langchain_core.agents import AgentAction, AgentFinish\n",
"from langchain_core.messages import BaseMessage\n",
"import operator\n",
"\n",
"\n",
"class AgentState(TypedDict):\n",
@@ -187,6 +188,7 @@
"outputs": [],
"source": [
"from langchain_core.agents import AgentFinish\n",
"\n",
"from langgraph.prebuilt.tool_executor import ToolExecutor\n",
"\n",
"# This a helper class we have that is useful for running tools\n",
examples/agent_executor/human-in-the-loop.ipynb
+6 -4
View File
@@ -50,8 +50,8 @@
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import getpass\n",
"import os\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
"os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -95,8 +95,8 @@
"source": [
"from langchain import hub\n",
"from langchain.agents import create_openai_functions_agent\n",
"from langchain_openai.chat_models import ChatOpenAI\n",
"from langchain_community.tools.tavily_search import TavilySearchResults\n",
"from langchain_openai.chat_models import ChatOpenAI\n",
"\n",
"tools = [TavilySearchResults(max_results=1)]\n",
"\n",
@@ -132,10 +132,11 @@
"metadata": {},
"outputs": [],
"source": [
"from typing import TypedDict, Annotated, List, Union\n",
"import operator\n",
"from typing import Annotated, TypedDict, Union\n",
"\n",
"from langchain_core.agents import AgentAction, AgentFinish\n",
"from langchain_core.messages import BaseMessage\n",
"import operator\n",
"\n",
"\n",
"class AgentState(TypedDict):\n",
@@ -187,6 +188,7 @@
"outputs": [],
"source": [
"from langchain_core.agents import AgentFinish\n",
"\n",
"from langgraph.prebuilt.tool_executor import ToolExecutor\n",
"\n",
"# This a helper class we have that is useful for running tools\n",
examples/agent_executor/managing-agent-steps.ipynb
+6 -4
View File
@@ -50,8 +50,8 @@
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import getpass\n",
"import os\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
"os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -95,8 +95,8 @@
"source": [
"from langchain import hub\n",
"from langchain.agents import create_openai_functions_agent\n",
"from langchain_openai.chat_models import ChatOpenAI\n",
"from langchain_community.tools.tavily_search import TavilySearchResults\n",
"from langchain_openai.chat_models import ChatOpenAI\n",
"\n",
"tools = [TavilySearchResults(max_results=1)]\n",
"\n",
@@ -132,10 +132,11 @@
"metadata": {},
"outputs": [],
"source": [
"from typing import TypedDict, Annotated, List, Union\n",
"import operator\n",
"from typing import Annotated, TypedDict, Union\n",
"\n",
"from langchain_core.agents import AgentAction, AgentFinish\n",
"from langchain_core.messages import BaseMessage\n",
"import operator\n",
"\n",
"\n",
"class AgentState(TypedDict):\n",
@@ -187,6 +188,7 @@
"outputs": [],
"source": [
"from langchain_core.agents import AgentFinish\n",
"\n",
"from langgraph.prebuilt.tool_executor import ToolExecutor\n",
"\n",
"# This a helper class we have that is useful for running tools\n",