Parsing error on langchain agent with gpt4all llm

Question

I am trying to integrate GPT4All with serpapi agent from langchain. But I am getting parsing error. Agent unable to parse llm output.

I beleive the agent is expecting an output

Thought: ....

but not getting one, may I get some help here?

from langchain.llms import GPT4All
from langchain.agents import load_tools
from dotenv import load_dotenv

load_dotenv()


llm = GPT4All(
    model="~/.cache/gpt4all/orca-mini-3b-gguf2-q4_0.gguf",
    verbose=True,
)

from langchain.agents import load_tools
from langchain.agents import initialize_agent

tools = load_tools(["serpapi"], llm=llm)
agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True)
agent.run("which club is Cristiano Ronaldo playing right now?")

Error:

ValueError: An output parsing error occurred. In order to pass this error back to the agent and have it try again, pass `handle_parsing_errors=True` to the AgentExecutor. This is the error: Could not parse LLM output: ```

Answer 1

This answer will probably be too late to help you, but maybe someone will stumble upon this and find it useful. I made good debugging progress with using the ConsoleCallbackHandler. It pretty much prints out all in and outputs between your chained elements. Here is a mini example:

from langchain.callbacks.tracers import ConsoleCallbackHandler

"which club is Cristiano Ronaldo playing right now?"
print(agent.invoke(prompt, config={"callbacks":[ConsoleCallbackHandler()]}))