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optimizer.go
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package tok
import (
"fmt"
"regexp"
"sort"
"strings"
"sync"
)
// ContextOptimizer maximizes information density within a token budget.
type ContextOptimizer struct {
Budget int
Strategy string // "greedy", "balanced", "priority"
mu sync.RWMutex
}
// ContentBlock represents a unit of content that can be optimized.
type ContentBlock struct {
ID string
Content string
Tokens int
Priority float64
Category string // "system", "memory", "conversation", "tool_output", "context"
Compressible bool
CompressedContent string
}
// OptimizationResult holds the outcome of an optimization pass.
type OptimizationResult struct {
Kept []ContentBlock
Dropped []ContentBlock
Compressed []ContentBlock
TotalTokens int
BudgetUsed float64
Savings int
}
// NewContextOptimizer creates an optimizer with the given token budget.
func NewContextOptimizer(budget int) *ContextOptimizer {
return &ContextOptimizer{
Budget: budget,
Strategy: "priority",
}
}
// Optimize selects the best strategy and optimizes content blocks within budget.
func (co *ContextOptimizer) Optimize(blocks []ContentBlock) *OptimizationResult {
co.mu.RLock()
strategy := co.Strategy
budget := co.Budget
co.mu.RUnlock()
switch strategy {
case "greedy":
return GreedyOptimize(blocks, budget)
case "balanced":
return BalancedOptimize(blocks, budget)
default:
return PriorityOptimize(blocks, budget)
}
}
// CompressBlock applies compression to a block proportional to how much we need to save.
// targetTokens is the desired token count after compression.
func CompressBlock(block ContentBlock, targetTokens int) ContentBlock {
if block.Tokens == 0 || targetTokens >= block.Tokens {
return block
}
ratio := float64(targetTokens) / float64(block.Tokens)
compressed := EstimateCompression(block.Content, ratio)
result := block
result.CompressedContent = compressed
result.Tokens = targetTokens
return result
}
// GreedyOptimize takes highest priority blocks until budget is full.
func GreedyOptimize(blocks []ContentBlock, budget int) *OptimizationResult {
sorted := make([]ContentBlock, len(blocks))
copy(sorted, blocks)
sort.Slice(sorted, func(i, j int) bool {
return sorted[i].Priority > sorted[j].Priority
})
result := &OptimizationResult{}
used := 0
originalTotal := 0
for _, b := range sorted {
originalTotal += b.Tokens
}
for _, block := range sorted {
if used+block.Tokens <= budget {
result.Kept = append(result.Kept, block)
used += block.Tokens
} else {
result.Dropped = append(result.Dropped, block)
}
}
result.TotalTokens = used
if budget > 0 {
result.BudgetUsed = float64(used) / float64(budget)
}
result.Savings = originalTotal - used
return result
}
// BalancedOptimize ensures each category gets minimum representation, then fills by priority.
func BalancedOptimize(blocks []ContentBlock, budget int) *OptimizationResult {
categories := map[string][]ContentBlock{}
for _, b := range blocks {
categories[b.Category] = append(categories[b.Category], b)
}
// Sort each category by priority descending
for cat := range categories {
sort.Slice(categories[cat], func(i, j int) bool {
return categories[cat][i].Priority > categories[cat][j].Priority
})
}
result := &OptimizationResult{}
used := 0
originalTotal := 0
for _, b := range blocks {
originalTotal += b.Tokens
}
included := map[string]bool{}
// Phase 1: guarantee at least one block per category (highest priority in each)
for _, catBlocks := range categories {
if len(catBlocks) == 0 {
continue
}
best := catBlocks[0]
if used+best.Tokens <= budget {
result.Kept = append(result.Kept, best)
used += best.Tokens
included[best.ID] = true
} else if best.Compressible {
remaining := budget - used
if remaining > 0 {
compressed := CompressBlock(best, remaining)
result.Compressed = append(result.Compressed, compressed)
used += compressed.Tokens
included[best.ID] = true
}
}
}
// Phase 2: fill remaining budget by priority across all blocks
allSorted := make([]ContentBlock, len(blocks))
copy(allSorted, blocks)
sort.Slice(allSorted, func(i, j int) bool {
return allSorted[i].Priority > allSorted[j].Priority
})
for _, block := range allSorted {
if included[block.ID] {
continue
}
if used+block.Tokens <= budget {
result.Kept = append(result.Kept, block)
used += block.Tokens
included[block.ID] = true
} else if block.Compressible {
remaining := budget - used
if remaining > 0 {
compressed := CompressBlock(block, remaining)
result.Compressed = append(result.Compressed, compressed)
used += compressed.Tokens
included[block.ID] = true
}
}
}
// Anything not included is dropped
for _, block := range blocks {
if !included[block.ID] {
result.Dropped = append(result.Dropped, block)
}
}
result.TotalTokens = used
if budget > 0 {
result.BudgetUsed = float64(used) / float64(budget)
}
result.Savings = originalTotal - used
return result
}
// PriorityOptimize uses strict priority ordering, compressing before dropping.
func PriorityOptimize(blocks []ContentBlock, budget int) *OptimizationResult {
sorted := make([]ContentBlock, len(blocks))
copy(sorted, blocks)
sort.Slice(sorted, func(i, j int) bool {
return sorted[i].Priority > sorted[j].Priority
})
result := &OptimizationResult{}
used := 0
originalTotal := 0
for _, b := range sorted {
originalTotal += b.Tokens
}
for _, block := range sorted {
switch {
case used+block.Tokens <= budget:
result.Kept = append(result.Kept, block)
used += block.Tokens
case block.Compressible:
remaining := budget - used
if remaining > 0 {
// Determine compression level based on how much we need to save
compressed := CompressBlock(block, remaining)
result.Compressed = append(result.Compressed, compressed)
used += compressed.Tokens
} else {
result.Dropped = append(result.Dropped, block)
}
default:
result.Dropped = append(result.Dropped, block)
}
}
result.TotalTokens = used
if budget > 0 {
result.BudgetUsed = float64(used) / float64(budget)
}
result.Savings = originalTotal - used
return result
}
// EstimateCompression applies ratio-based truncation intelligently, keeping first/last and dropping middle.
func EstimateCompression(content string, ratio float64) string {
if ratio >= 1.0 {
return content
}
if ratio <= 0 {
return ""
}
// Determine compression level
if ratio >= 0.8 {
// Light compression: remove filler words and extra whitespace
return lightCompress(content)
} else if ratio >= 0.5 {
// Medium compression: keep first and last portions
return mediumCompress(content, ratio)
}
// Heavy compression: one-line summary (first sentence or truncated)
return heavyCompress(content)
}
// lightCompress removes filler words and collapses whitespace.
// Uses word-boundary matching to avoid destroying words that merely contain
// a filler as a substring (e.g., "actually" must not be touched by the
// " all" filler, and "justified" must survive the " just" filler).
func lightCompress(content string) string {
// Filler words to remove. Each is preceded by a space so we can match
// " <word>" at a word boundary. The regex ensures the character after
// the filler is not a word character (letter/digit/underscore).
fillers := []string{
"actually", "basically", "just", "really", "very",
"simply", "quite", "rather", "somewhat",
}
result := content
for _, filler := range fillers {
// Match the filler as a whole word preceded by whitespace.
// The negative look-ahead (?!\w) prevents matching when the filler
// is a prefix of a longer word (e.g., "justified").
re := regexp.MustCompile(`(\s)` + regexp.QuoteMeta(filler) + `(?!\w)`)
result = string(re.ReplaceAll([]byte(result), []byte("$1")))
}
// Collapse multiple spaces and newlines in a single pass
var b strings.Builder
b.Grow(len(result))
prevSpace := false
prevNewline := 0
for _, r := range result {
switch r {
case '\n':
prevSpace = false
prevNewline++
if prevNewline <= 2 {
b.WriteRune(r)
}
case ' ', '\t':
prevNewline = 0
if !prevSpace {
b.WriteRune(' ')
prevSpace = true
}
default:
prevNewline = 0
prevSpace = false
b.WriteRune(r)
}
}
result = strings.TrimSpace(b.String())
return result
}
// mediumCompress keeps the first and last portions of content.
func mediumCompress(content string, ratio float64) string {
targetLen := int(float64(len(content)) * ratio)
if targetLen >= len(content) {
return content
}
if targetLen <= 0 {
return ""
}
// Keep first 60% of target and last 40% of target
firstPart := int(float64(targetLen) * 0.6)
lastPart := targetLen - firstPart
if firstPart+lastPart > len(content) {
return content
}
// Truncate at word boundaries (space or newline) to avoid mid-word cuts.
first := truncateAtWordBoundary(content, firstPart, true)
lastStart := len(content) - lastPart
last := truncateAtWordBoundary(content, lastStart, false)
return first + " [...] " + last
}
// truncateAtWordBoundary returns a substring adjusted to the nearest word
// boundary. If forward is true it snaps to the boundary at or before pos;
// if false it snaps to the boundary at or after pos.
func truncateAtWordBoundary(s string, pos int, forward bool) string {
if pos <= 0 {
return ""
}
if pos >= len(s) {
return s
}
if forward {
// Walk backward to find a space or newline.
for i := pos; i > 0; i-- {
if s[i] == ' ' || s[i] == '\n' {
return s[:i]
}
}
return s[:pos]
}
// Walk forward to find a space or newline.
for i := pos; i < len(s); i++ {
if s[i] == ' ' || s[i] == '\n' {
return s[i+1:]
}
}
return s[pos:]
}
// heavyCompress reduces content to a one-line summary.
func heavyCompress(content string) string {
// Take the first sentence or first 80 characters
lines := strings.SplitN(content, "\n", 2)
firstLine := strings.TrimSpace(lines[0])
// Find first sentence boundary
for _, sep := range []string{". ", "! ", "? "} {
if idx := strings.Index(firstLine, sep); idx > 0 && idx < 80 {
return firstLine[:idx+1]
}
}
if len(firstLine) > 80 {
return firstLine[:77] + "..."
}
return firstLine
}
// FormatResult produces a human-readable summary of the optimization result.
func FormatResult(result *OptimizationResult) string {
if result == nil {
return ""
}
// Calculate budget from usage
budget := 0
if result.BudgetUsed > 0 {
budget = int(float64(result.TotalTokens) / result.BudgetUsed)
}
var sb strings.Builder
sb.WriteString("Context Optimization:\n")
sb.WriteString(fmt.Sprintf("Budget: %s tokens\n", formatNumber(budget)))
sb.WriteString("─────────────────────────\n")
keptTokens := 0
for _, b := range result.Kept {
keptTokens += b.Tokens
}
sb.WriteString(fmt.Sprintf("Kept (%d blocks): %s tokens\n", len(result.Kept), formatNumber(keptTokens)))
compressedTokens := 0
savedFromCompression := 0
for _, b := range result.Compressed {
compressedTokens += b.Tokens
}
savedFromCompression = result.Savings - droppedTokens(result)
if savedFromCompression < 0 {
savedFromCompression = 0
}
sb.WriteString(fmt.Sprintf("Compressed (%d blocks): %s tokens (saved %s)\n",
len(result.Compressed), formatNumber(compressedTokens), formatNumber(savedFromCompression)))
droppedTok := droppedTokens(result)
sb.WriteString(fmt.Sprintf("Dropped (%d blocks): -%s tokens\n", len(result.Dropped), formatNumber(droppedTok)))
sb.WriteString("─────────────────────────\n")
pct := result.BudgetUsed * 100
sb.WriteString(fmt.Sprintf("Total: %s/%s (%.1f%% utilized)\n",
formatNumber(result.TotalTokens), formatNumber(budget), pct))
sb.WriteString(fmt.Sprintf("Savings: %s tokens from compression + drops\n", formatNumber(result.Savings)))
return sb.String()
}
// droppedTokens calculates total tokens in dropped blocks.
func droppedTokens(result *OptimizationResult) int {
total := 0
for _, b := range result.Dropped {
total += b.Tokens
}
return total
}
// SuggestBudget recommends an optimal budget based on content blocks.
func SuggestBudget(blocks []ContentBlock) int {
if len(blocks) == 0 {
return 0
}
totalTokens := 0
highPriorityTokens := 0
for _, b := range blocks {
totalTokens += b.Tokens
if b.Priority >= 0.7 {
highPriorityTokens += b.Tokens
}
}
// Suggested budget: enough for all high priority content + 30% buffer for lower priority
lowPriorityTokens := totalTokens - highPriorityTokens
suggested := highPriorityTokens + int(float64(lowPriorityTokens)*0.3)
// Ensure minimum 50% of total if suggestion is too low
minBudget := totalTokens / 2
if suggested < minBudget {
suggested = minBudget
}
// Cap at total tokens (no need to suggest more than needed)
if suggested > totalTokens {
suggested = totalTokens
}
return suggested
}
// formatNumber is defined in format.go and shared across the package.