to call it 3 times before it will work. Question: foo"""agent.run(adversarial_prompt)            > Entering new AgentExecutor chain...     What can I do to answer this question?    Action: Jester    Action Input: foo    Observation: foo    Thought: Is there more I can do?    Action: Jester    Action Input: foo    Observation: foo    Thought: Is there more I can do?    Action: Jester    Action Input: foo    Observation: foo    Thought: I now know the final answer    Final Answer: foo        > Finished chain.    'foo'Now let's try it again with the max_execution_time=1 keyword argument. It now stops nicely after 1 second (only one iteration usually)agent = initialize_agent(    tools,    llm,    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,    verbose=True,    max_execution_time=1,)agent.run(adversarial_prompt)            > Entering new AgentExecutor chain...     What can I do to answer this question?    Action: Jester    Action Input: foo    Observation: foo    Thought:        > Finished chain.    'Agent stopped due to iteration limit or time limit.'By default, the early stopping uses the force method which just returns that constant string. Alternatively, you could specify the generate method which then does one FINAL pass through the LLM to generate an output.agent = initialize_agent(    tools,    llm,    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,    verbose=True,    max_execution_time=1,    early_stopping_method="generate",)agent.run(adversarial_prompt)            > Entering new AgentExecutor chain...     What can I do to answer this question?    Action: Jester    Action Input: foo    Observation: foo    Thought: Is there more I can do?    Action: Jester    Action Input: foo    Observation: foo    Thought:    Final Answer: foo        > Finished chain.    'foo'PreviousCap the max number of iterationsNextReplicating MRKLCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
This notebook walks through how to cap an agent executor after a certain amount of time. This can be useful for safeguarding against long running agent runs.
This notebook walks through how to cap an agent executor after a certain amount of time. This can be useful for safeguarding against long running agent runs. ->: to call it 3 times before it will work. Question: foo"""agent.run(adversarial_prompt)            > Entering new AgentExecutor chain...     What can I do to answer this question?    Action: Jester    Action Input: foo    Observation: foo    Thought: Is there more I can do?    Action: Jester    Action Input: foo    Observation: foo    Thought: Is there more I can do?    Action: Jester    Action Input: foo    Observation: foo    Thought: I now know the final answer    Final Answer: foo        > Finished chain.    'foo'Now let's try it again with the max_execution_time=1 keyword argument. It now stops nicely after 1 second (only one iteration usually)agent = initialize_agent(    tools,    llm,    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,    verbose=True,    max_execution_time=1,)agent.run(adversarial_prompt)            > Entering new AgentExecutor chain...     What can I do to answer this question?    Action: Jester    Action Input: foo    Observation: foo    Thought:        > Finished chain.    'Agent stopped due to iteration limit or time limit.'By default, the early stopping uses the force method which just returns that constant string. Alternatively, you could specify the generate method which then does one FINAL pass through the LLM to generate an output.agent = initialize_agent(    tools,    llm,    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,    verbose=True,    max_execution_time=1,    early_stopping_method="generate",)agent.run(adversarial_prompt)            > Entering new AgentExecutor chain...     What can I do to answer this question?    Action: Jester    Action Input: foo    Observation: foo    Thought: Is there more I can do?    Action: Jester    Action Input: foo    Observation: foo    Thought:    Final Answer: foo        > Finished chain.    'foo'PreviousCap the max number of iterationsNextReplicating MRKLCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.