I have created a Conversational agent connected to a BigQuery database with cloud run functions using VertexAI builder and connected it to Slack with a ready-made integration.
It seems that not all of the functional queries given in the preview window work in Slack, for example, if I ask for the total number of rows in a database table, it works, but if I ask to return the first 10 rows, it doesn't work, but says "I'm sorry, I can't fulfill this request. The tool I use to access data is not working properly"?
Another problem is related to file creation. The code_interpreter tool connected to the agent does generate a .csv file, for example, but it only does so according to the agent's cache, and the file cannot be loaded from anywhere. How could this problem be solved and could the agent be asked to create a file from the records to be returned?
LinkedIn
Twitter
