Closed akashAD98 closed 8 months ago
🤖
Hello,
The error you're encountering, OutputParserException
, is raised when the parse
method in the OutputParser
class encounters an issue while trying to parse the output from the language model. This is evident from the try-except
block in the parse
method.
Here is the relevant code:
def parse(self, completion: str) -> T:
try:
parsed_completion = self.parser.parse(completion)
except OutputParserException as e:
new_completion = self.retry_chain.run(
instructions=self.parser.get_format_instructions(),
completion=completion,
error=repr(e),
)
parsed_completion = self.parser.parse(new_completion)
return parsed_completion
In this code, self.parser.parse(completion)
is attempted. If this raises an OutputParserException
, the exception is caught and the retry_chain
is run to try and fix the error. If the error persists even after the retry, the OutputParserException
will be raised again.
To resolve this issue, you need to ensure that the parse
method of the parser
object can correctly parse the completion
. This might involve debugging the parse
method or the data being passed to it.
There have been similar issues reported in the LangChain repository. For instance, Issue #1106 and Issue #2985 both deal with OutputParserException
errors. The solution in these cases involved adjusting the regex string used for parsing the generation further.
I hope this helps! If you have any further questions or if the issue persists, please provide more details so I can assist you better.
{llm_output}
") when I run the same question several times
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Hi, @akashAD98,
I'm helping the LangChain team manage their backlog and am marking this issue as stale. It looks like you're encountering an OutputParserException while running an AgentExecutor chain in a Google Colab experiment using a LLM 7b quantized model. I have provided an explanation of the OutputParserException
and suggested debugging the parse
method or the data being passed to it. The response also references similar issues reported in the LangChain repository and provides links to relevant issues and code files.
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 the issue will be automatically closed in 7 days.
Thank you for your understanding and cooperation. If you have any further questions or need assistance, feel free to reach out.
System Info
Doing experiment on google collab
using llam2 7b quantized model
below is my code
agent with memory & i tried A gentExecutor
error i im getting
Who can help?
@hwchase17 @agola11
Information
Related Components
Reproduction
Expected behavior
im getting op but error also coming with this