agent after using tools, when no matches found, outputs 'Sorry'

[Bebezumni]

Hello, great project. I am very excited with it.
Question is:
How do I correctly tell parser.py to make a next AgentAction or AgentFinish if there is no matches.
This happens everytime my tool cannot find anything in product_catalog to answer the question

def parse(self, text: str) -> Union[AgentAction, AgentFinish]:
    if self.verbose:
        print("TEXT")
        print(text)
        print("-------")
    if f"{self.ai_prefix}:" in text:
        return AgentFinish(
            {"output": text.split(f"{self.ai_prefix}:")[-1].strip()}, text
        )
    regex = r"Action: (.*?)[\n]*Action Input: (.*)"
    match = re.search(regex, text)
    if not match:
        ## TODO - this is not entirely reliable, sometimes results in an error.
        return AgentFinish(
            {
                "output": "I apologize, I was unable to find the answer to your question. Is there anything else I can help with?"
            },
            text,
        )
        # raise OutputParserException(f"Could not parse LLM output: `{text}`")
    action = match.group(1)
    action_input = match.group(2)
    return AgentAction(action.strip(), action_input.strip(" ").strip('"'), text)

currently this part just outputs "I apologize...." as final answer.

[Bebezumni]

As I found out this part outputs error, if agent on previous stage generated an answer without correct formatting like below:

Thought: Do i need to you a tool? No
Action:Some action

Here is my fix, not sure if everything is correct but all the systems started to work as expected
Changed this:

if not match:
        ## TODO - this is not entirely reliable, sometimes results in an error.
        return AgentFinish(
            {
                "output": "I apologize, I was unable to find the answer to your question. Is there anything else I can help with?"
            },
            text,
        )
        # raise OutputParserException(f"Could not parse LLM output: `{text}`")

On this:

if not match:
    return AgentAction('Thought: Do I need to use a tool? No', f"{self.ai_prefix}:", text)

[ZuzooVn]

@Bebezumni did you change ai_prefix to salesperson_name?