The current design re-instantiates the LLM and agent on every user input, which can lead to performance inefficiencies and increased latency. Additionally, the use of handling_pass_error=True suppresses errors during tool execution, potentially masking critical issues:
Performance Overhead: Constant re-creation of the LLM and agent for every prompt can be inefficient, especially in a session that requires maintaining context.
Error Suppression: Silently passing errors hides debugging information and may cause the system to produce misleading outputs.
Placeholder Response: Appending a literal string "response" instead of the actual output undermines the integrity of the conversation history.
I can resolve this issue, Assign me this and I will solve and create a PR.
The current design re-instantiates the LLM and agent on every user input, which can lead to performance inefficiencies and increased latency. Additionally, the use of handling_pass_error=True suppresses errors during tool execution, potentially masking critical issues:
Performance Overhead: Constant re-creation of the LLM and agent for every prompt can be inefficient, especially in a session that requires maintaining context.
Error Suppression: Silently passing errors hides debugging information and may cause the system to produce misleading outputs.
Placeholder Response: Appending a literal string "response" instead of the actual output undermines the integrity of the conversation history.
I can resolve this issue, Assign me this and I will solve and create a PR.