because old content was not found.It may be helpful to use the read_file action to get the current file contents.    Thought: I need to get the current file contents.    Action: Read File    Action Input: README.md    Observation: This is my awesome website!        Thought: I need to update the README file with the new content.    Action: Update File    Action Input: README.md    OLD <<<<    This is my awesome website!    >>>> OLD    NEW <<<<    This is my awesome website that uses the most popular frontend framework.    >>>> NEW    Observation: Updated file README.md    Thought: I now know the final answer.    Final Answer: The README.md file has been updated with the new content.        > Finished chain.    'The README.md file has been updated with the new content.'Example: Advanced Agent‚ÄãIf your agent does not need to use all 8 tools, you can build tools individually to use. For this example, we'll make an agent that does not use the create_file, delete_file or create_pull_request tools, but can also use duckduckgo-search.%pip install duckduckgo-searchfrom langchain.tools.github.tool import GitHubActionfrom langchain.tools import DuckDuckGoSearchRunfrom langchain.agents import Toolfrom langchain.chat_models import ChatOpenAItools = []unwanted_tools = ['Get Issue','Delete File', 'Create File', 'Create Pull Request']for tool in toolkit.get_tools():    if tool.name not in unwanted_tools:        tools.append(tool)tools+= [    Tool(        name = "Search",        func = DuckDuckGoSearchRun().run,        description = "useful for when you need to search the web"    )]        agent = initialize_agent(    tools = tools,    llm = ChatOpenAI(temperature=0.1),    agent = AgentType.ZERO_SHOT_REACT_DESCRIPTION,    verbose = True)Finally let's build a prompt and test it out!# The GitHubAPIWrapper can be used outside of an agent, too# This gets the info about issue number 9, since we want to# force the agent to address this specific issue.issue = github.get_issue(9)prompt =
The Github toolkit contains tools that enable an LLM agent to interact with a github repository.
The Github toolkit contains tools that enable an LLM agent to interact with a github repository. ->: because old content was not found.It may be helpful to use the read_file action to get the current file contents.    Thought: I need to get the current file contents.    Action: Read File    Action Input: README.md    Observation: This is my awesome website!        Thought: I need to update the README file with the new content.    Action: Update File    Action Input: README.md    OLD <<<<    This is my awesome website!    >>>> OLD    NEW <<<<    This is my awesome website that uses the most popular frontend framework.    >>>> NEW    Observation: Updated file README.md    Thought: I now know the final answer.    Final Answer: The README.md file has been updated with the new content.        > Finished chain.    'The README.md file has been updated with the new content.'Example: Advanced Agent‚ÄãIf your agent does not need to use all 8 tools, you can build tools individually to use. For this example, we'll make an agent that does not use the create_file, delete_file or create_pull_request tools, but can also use duckduckgo-search.%pip install duckduckgo-searchfrom langchain.tools.github.tool import GitHubActionfrom langchain.tools import DuckDuckGoSearchRunfrom langchain.agents import Toolfrom langchain.chat_models import ChatOpenAItools = []unwanted_tools = ['Get Issue','Delete File', 'Create File', 'Create Pull Request']for tool in toolkit.get_tools():    if tool.name not in unwanted_tools:        tools.append(tool)tools+= [    Tool(        name = "Search",        func = DuckDuckGoSearchRun().run,        description = "useful for when you need to search the web"    )]        agent = initialize_agent(    tools = tools,    llm = ChatOpenAI(temperature=0.1),    agent = AgentType.ZERO_SHOT_REACT_DESCRIPTION,    verbose = True)Finally let's build a prompt and test it out!# The GitHubAPIWrapper can be used outside of an agent, too# This gets the info about issue number 9, since we want to# force the agent to address this specific issue.issue = github.get_issue(9)prompt =