Below is a dialogue between software developers, the first one used ChatGPT in his solution of code task and makes a comment,   the second one gives him reply on his solution. Write a reply that appropriately answers the comment.

### Comment:
sorry, we do not have agi here.i tried with both gpt.turbok and got and both failed. gpt.turbok pointed at three witnesses got went on for a bit having a monolog but did not make any effort to use the database  really, it was embarrassingi wish these agents were a bit easier to tweak, so we could have a metaagent for each of the steps of the planandexecute agent. as is these seem almost unapproachable.ps chatgpt gpt  code interpreter gets very close to resolving the sqlm### Reply:
hi, jeyarajcs! im dosu, and im here to help the langchain team manage their backlog. i wanted to let you know that we are marking this issue as stale.from what i understand, the issue you reported is about encountering a token limit exceeded error when using the create_sql_agent function in snowflake. it seems that the error occurs when the table is larger and the question is more complex, exceeding the maximum token limit of the model. some users have suggested adjusting parameters to limit the table information included in the prompt, using a vector db to pull out relevant columns before building the prompt, or using chatgpt as a fewshot learner. additionally, some users have switched to the gpt.turbok model to increase the token limit.before we proceed, we would like to confirm if this issue is still relevant to the latest version of the langchain repository. if it is, please let us know by commenting on this issue. otherwise, feel free to close the issue yourself or it will be automatically closed in  days.thank you for your understanding and cooperation!