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CSV Agent JSON Parsing Errors #7897

Closed cdreetz closed 9 months ago

cdreetz commented 1 year ago

System Info

Occasional error out of CSV agent with JSON parsing error. Typically occurs when prompting a multi step task, but some multi step tasks are handled fine. Even in the same multi step task, depending on the wording of the prompt it can be run successfully but with different wording will error out.

Heres an example of the message returned.

File "C:\Users\env\Lib\site-packages\langchain\agents\openai_functions_agent\base.py", line 212, in plan agent_decision = _parse_ai_message(predicted_message) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\env\Lib\site-packages\langchain\agents\openai_functions_agent\base.py", line 114, in _parse_ai_message raise OutputParserException( langchain.schema.OutputParserException: Could not parse tool input: {'name': 'python', 'arguments': "df_filtered = df[df['Version1Text'].str.contains('using your budget')]\nlabel_counts = df_filtered['Label'].value_counts()\nlabel_counts"} because the arguments is not valid JSON.

Who can help?

@hwchase17 @agol

Information

Related Components

Reproduction

Steps to reproduce behavior:

  1. Start up CSV agent
  2. One example prompt that errors: "of the rows where 'Version1Text' includes 'using your budget' what are the counts of each of the unique 'Label' values"

Expected behavior

Expected behavior is to subset the csv based on the provided conditions and then return counts

dosubot[bot] commented 1 year ago

Answer generated by a 🤖

Answer

From your description, it appears that you're encountering an issue with the CSV agent in the LangChain framework. The problem seems to occur when the agent tries to parse a multi-step task, resulting in a JSON parsing error. This error is not consistent and depends on the wording of the prompt.

The error message you provided indicates that the arguments field in the tool input is not valid JSON. Instead, it's a string of Python code. This issue arises in the _parse_ai_message function in the base.py file of the openai_functions_agent module, which attempts to parse the output of the AI model. The function expects a JSON object, but it encounters an error due to the arguments field not being valid JSON.

To address this issue, we need to ensure that the arguments field is a valid JSON object. This could involve adjusting how the AI model generates its output or modifying the way the output is parsed.

Please note that this is one potential solution based on the information provided. Without access to the code that generates the AI model's output, it's challenging to provide a specific solution. I recommend investigating how the arguments field is being generated and ensuring it's a valid JSON object.

If you find this solution correct and believe it's a bug that could impact other users, you're encouraged to make a pull request with the necessary changes.

If this solution doesn't align with your experience or if the issue persists, it might be beneficial to check if you're using the latest version of LangChain. An upgrade could potentially resolve the issue.

Sources

This response is meant to be useful, save you time, and share context. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

keenborder786 commented 1 year ago

@cdreetz can you please post the code that you are trying to run.

cdreetz commented 1 year ago

@keenborder786

This is the code I wrote to use the CSV agent in my terminal, like I said it works most of the time but occasionally errors out. I am thinking maybe it is when the agent tries to run code that errors but I am not sure because it doesn't show what's being run I only get the reponse.

def parse_arguments(): parser = argparse.ArgumentParser(description="My Terminal Tool") parser.add_argument("file_path", help="Path to the file")

Add more arguments if needed

return parser.parse_args()

def run_tool(file_path): agent = create_csv_agent( ChatOpenAI(temperature=0, model="gpt-3.5-turbo-0613"), file_path, verbose=True, agent_type=AgentType.OPENAI_FUNCTIONS, )

print("Agent initialized. Enter 'exit' to quit.")

while True:
    user_input = input("You: ")
    if user_input.lower() == "exit":
        break

    response = agent.run(user_input)
    print("Agent:", response)

if name == "main": args = parse_arguments() run_tool(args.file_path)

dnyandeepc16 commented 1 year ago

System Info

Occasional error out of CSV agent with JSON parsing error. Typically occurs when prompting a multi step task, but some multi step tasks are handled fine. Even in the same multi step task, depending on the wording of the prompt it can be run successfully but with different wording will error out.

Heres an example of the message returned.

File "C:\Users\env\Lib\site-packages\langchain\agents\openai_functions_agent\base.py", line 212, in plan agent_decision = _parse_ai_message(predicted_message) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\env\Lib\site-packages\langchain\agents\openai_functions_agent\base.py", line 114, in _parse_ai_message raise OutputParserException( langchain.schema.OutputParserException: Could not parse tool input: {'name': 'python', 'arguments': "df_filtered = df[df['Version1Text'].str.contains('using your budget')]\nlabel_counts = df_filtered['Label'].value_counts()\nlabel_counts"} because the arguments is not valid JSON.

Who can help?

@hwchase17 @agol

Information

  • [ ] The official example notebooks/scripts
  • [x] My own modified scripts

Related Components

  • [ ] LLMs/Chat Models
  • [ ] Embedding Models
  • [ ] Prompts / Prompt Templates / Prompt Selectors
  • [ ] Output Parsers
  • [ ] Document Loaders
  • [ ] Vector Stores / Retrievers
  • [ ] Memory
  • [x] Agents / Agent Executors
  • [ ] Tools / Toolkits
  • [ ] Chains
  • [ ] Callbacks/Tracing
  • [ ] Async

Reproduction

Steps to reproduce behavior:

  1. Start up CSV agent
  2. One example prompt that errors: "of the rows where 'Version1Text' includes 'using your budget' what are the counts of each of the unique 'Label' values"

Expected behavior

Expected behavior is to subset the csv based on the provided conditions and then return counts

Hi, are you able to fix this error since I'm facing the exact issue?

cdreetz commented 1 year ago

@dnyandeepc16 no I never got a fix for it. Basically just keep prompts as simple as possible.

SyedBaqarAbbas commented 1 year ago

@cdreetz If you are still facing this error, you can do the following two steps:

  1. Add the argument handle_parsing_errors=True to your initialization of csv_agent. For example, 
    agent = create_csv_agent(
        OpenAI(temperature=0),
        "titanic.csv",
        verbose=True,
        agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
        handle_parsing_errors=True)

You can either set your own function to handle parsing errors here or set it to True, where it sends the query back to LLM for observation.

  1. If you are using any tool, you can set the parameter handle_tool_error=True in its declaration.

For example,

Tool(name = "My-tool",
    func = my_tool._run,
    description=desc,
    return_direct=True,
    handle_tool_error=True)

Instead of True, you can set your own error handling here too.

See more at the official docs: Handle Parsing Errors Handling Tool Errors

dosubot[bot] commented 9 months ago

Hi, @cdreetz,

I'm helping the LangChain team manage their backlog and am marking this issue as stale. The issue you reported involved occasional JSON parsing errors encountered by the CSV agent when prompted with multi-step tasks. It seems that the errors were related to the wording of the prompt, and potential solutions and suggestions were provided by various contributors. The issue was resolved by simplifying the prompts for multi-step tasks, which mitigated the JSON parsing errors encountered by the CSV agent.

Could you please confirm if this issue is still relevant to the latest version of the LangChain repository? If it is, please let the LangChain team know by commenting on the issue. Otherwise, feel free to close the issue yourself, or it will be automatically closed in 7 days. Thank you!