Files
audita/internal/framework/validators/llm_batching.go

79 lines
2.1 KiB
Go

package validators
import (
"encoding/json"
"fmt"
"gitea.maximumdirect.net/eric/audita/internal/core/chunking"
)
type LLMValidationBatch struct {
BatchIndex int `json:"batch_index"`
Items []LLMValidationItem `json:"items"`
TokenCount int `json:"token_count"`
}
func ChunkLLMValidationItems(items []LLMValidationItem, maxPromptTokens int, estimator chunking.TokenEstimator) ([]LLMValidationBatch, error) {
if maxPromptTokens <= 0 {
return nil, fmt.Errorf("validation max prompt tokens must be greater than zero")
}
if len(items) == 0 {
return nil, fmt.Errorf("validation input must contain at least one proposal")
}
if estimator == nil {
estimator = chunking.NewSimpleTokenEstimator()
}
batches := make([]LLMValidationBatch, 0)
current := make([]LLMValidationItem, 0)
currentTokens := 0
for _, item := range items {
singleTokens, err := estimateBatchTokens(estimator, []LLMValidationItem{item})
if err != nil {
return nil, err
}
if singleTokens > maxPromptTokens {
return nil, fmt.Errorf("single validation proposal exceeds max prompt tokens")
}
candidate := append(append([]LLMValidationItem(nil), current...), item)
candidateTokens, err := estimateBatchTokens(estimator, candidate)
if err != nil {
return nil, err
}
if len(current) > 0 && candidateTokens > maxPromptTokens {
batches = append(batches, LLMValidationBatch{
BatchIndex: len(batches),
Items: append([]LLMValidationItem(nil), current...),
TokenCount: currentTokens,
})
current = []LLMValidationItem{item}
currentTokens = singleTokens
continue
}
current = candidate
currentTokens = candidateTokens
}
if len(current) > 0 {
batches = append(batches, LLMValidationBatch{
BatchIndex: len(batches),
Items: append([]LLMValidationItem(nil), current...),
TokenCount: currentTokens,
})
}
return batches, nil
}
func estimateBatchTokens(estimator chunking.TokenEstimator, batch []LLMValidationItem) (int, error) {
payload, err := json.Marshal(batch)
if err != nil {
return 0, fmt.Errorf("marshal batch payload: %w", err)
}
return estimator.EstimateTokens(string(payload)), nil
}