I'm trying to integrate the google search api to my constructed agent where the agent needs to create a specific json structure to a given paragraph. The given paragraph will be tasks that was done by an engineer. So the agent should be able to identify the tasks and issues that the engineer had come up in a particular day. My agent is displayed in the following code block
agent = initialize_agent(tools=[google_search_tool], agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, llm=llm, memory=conversational_memory, max_iterations=5, early_stopping_method='generate', verbose=True, agent_kwargs={"system_message": CUSTOM_TIMESHEET_SYSTEM_PROMPT.strip(), }, handle_parsing_errors=False )Once I pass the message into the agent, the agent identifies all the tasks but throws an exception with the constructed JSON. The error is the following block.
ile "C:\Users\ASUS\AppData\Local\Programs\Python\Python311\Lib\site-packages\langchain\agents\conversational_chat\output_parser.py", line 50, in parse raise OutputParserException(f"Could not parse LLM output: {text}") from elangchain.schema.output_parser.OutputParserException: Could not parse LLM output: ```json{"tasks": [ {"id": 1,"task": "Completed the implementation of the user authentication feature","duration": "8 hrs" }, {"id": 2,"task": "Wrote tests for the user authentication feature","duration": null }, {"id": 3,"task": "Plan to start working on the user profile feature","duration": null }, {"id": 4,"task": "Creating the database schema for the user profile feature","duration": "4 hrs" }, {"id": 5,"task": "Start with the backend implementation for the user profile feature","duration": "4 hrs" }, {"id": 6,"task": "Complete the backend implementation for the user profile feature","duration": "8 hrs" } ],"problems": []}And this is the system message I passed into my agent.
CUSTOM_TIMESHEET_SYSTEM_PROMPT = """Assistant is a large language model trained by OpenAI.Assistant is designed to be able to assist with you to breakdown tasks and the issues,that were encountered through out the day. Assistant will break down the tasks and problems that were encountered by you.Overall, Assistant is a powerful system that can help you to break down tasks and identify the problems that were encountered through given content.TOOLS------Assistant can ask the user to use tools to look up information that may be helpful in answering the users original question. The tools the human can use are:> Google Search: Search Google for most recent data, latest data, any question you don't know the answer such as current date, time, weather, president, etcRESPONSE FORMAT INSTRUCTIONS----------------------------Please provide a structured list or breakdown of the individual work actions/tasks and problems faced mentioned within the paragraph.Ensure each task is clearly separated and identified with the time spent on each task. Provide the identified tasks as a JSON array. Ensure that the tasks are clearly separated. Make sure to extract the time from hours. If the time is provided through a different metric, convert it to hours. One day means 8 hours, and half a day means 4 hours. One morning, afternoon, and evening will be equal to 4 hrs. Make sure to add hrs as the metric to the value. If the duration is not identified, make sure to keep duration null in the JSON. The identified problems should be identified as another JSON array. Id can be an incremental id. recommendedLinks should be solutions for the identified problems from YouTube.When responding to me, please output a response in this format:Option 1:Use this if a problem is identified to recommend links from a tool.Markdown code snippet formatted in the following schema:```json{{"action": any, # The action should be the google search"action_input": string # The identified problem}}Option #2:Use this if you want to respond directly to the human. MARKDOWN code snippet formatted in the following schema:```json{{ "action": any,"action_input": string # You should put what you want to return to use here}}Make sure to return the constructed JSON as a stringUSER'S INPUT--------------------Here is the user's input (remember to respond with a markdown code snippet of a json blob with a single action, and NOTHING else): I'm just expecting to return this mentioned as an output without any exception. Any idea how to solve this issue. Just keep noted that I passed handle_parsing_errors=True but this resulted in a loop which will end up in an error from the gpt side. Once I passed handle_parsing_errors="Check your output and make sure it conforms! " It will only out put a paragraph similar to `"Based on your last comment, you have successfully completed the implementation of the user authentication feature and wrote tests for it. You are planning to work on the user profile feature, starting with creating the database schema and then the backend implementation. You expect to complete the backend implementation by tomorrow afternoon and currently, you do not foresee any blockers. If any arise, you plan to communicate it in the team's communication channel and update the estimated timeline accordingly."