Steve Dudenhoeffer
693ac4e6a7
Introduce multiple agents, tools, and utilities for processing, extracting, and answering user-provided questions using LLMs and external data. Key features include knowledge processing, question splitting, search term generation, and contextual knowledge handling.
34 lines
953 B
Go
34 lines
953 B
Go
package shared
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import (
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"strings"
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)
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// TidBit is a small piece of information that the AI has learned.
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type TidBit struct {
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Info string
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Source string
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}
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type Knowledge struct {
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// OriginalQuestions are the questions that was asked first to the AI before any processing was done.
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OriginalQuestions []string
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// RemainingQuestions is the questions that are left to find answers for.
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RemainingQuestions []string
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// Knowledge are the tidbits of information that the AI has learned.
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Knowledge []TidBit
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}
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// ToMessage converts the knowledge to a message that can be sent to the LLM.
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func (k Knowledge) ToMessage() string {
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var learned []string
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for _, t := range k.Knowledge {
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learned = append(learned, t.Info)
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}
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return "Original questions asked:\n" + strings.Join(k.OriginalQuestions, "\n") + "\n" +
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"Learned information:\n" + strings.Join(learned, "\n") + "\n" +
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"Remaining questions:\n" + strings.Join(k.RemainingQuestions, "\n")
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}
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