LangChain Agent Format Instructions

format_instruction.py

  agent_chain = initialize_agent(tools, 
                                 llm, 
                                 agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
                                 verbose=True,
                                 agent_kwargs={"format_instructions": "Use the following format: \n\n"
                                                                      "Question: the input question you must answer \n"
                                                                      "Thought: you should always think about what to do \n"
                                                                      "Action: the action to take, should be one of [{tool_names}] "
                                                                      "Action Input: the input to the action \n"
                                                                      "Observation: the result of the action\n... "
                                                                      "(this Thought/Action/Action Input/Observation can repeat N times) \n"
                                                                      "Thought: I now know the final answer \n"
                                                                      "Final Answer: the final answer to the original input question, translated to German!"}
                                )