Long direct-model conversations mixed provider usage with local estimates, and Agent tool rounds could remain above the configured compression target. Compression state and status markers also did not reliably survive restarts or bounded history rollover. Direct-model calls now prefer provider-reported usage, compact complete conversation turns and Agent tool rounds within reserved payload budgets, and persist reusable summaries with scope-specific markers. The chat meter separates latest-call usage from estimated compressed conversation size, while failed or cancelled calls retain the last successful measurement. Release note: 直连模型现可在长对话和多轮工具执行中自动压缩旧上下文,并分别显示本次调用用量与压缩后对话估算;摘要会自动保存并跨重启复用,无需手动操作。
181 lines
4.9 KiB
TypeScript
181 lines
4.9 KiB
TypeScript
import type { ContextCompressionSettings } from '../../shared/contracts'
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import {
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estimateContextInputTokens,
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estimateMessagesTokens,
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getEffectiveContextTriggerTokens
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} from '../../shared/context-window'
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export {
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estimateMessagesTokens,
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estimateTextTokens
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} from '../../shared/context-window'
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export type CompressibleConversationMessage = {
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role: 'user' | 'assistant'
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content: string
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}
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export type ContextCompressionPlan = {
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earlierMessages: CompressibleConversationMessage[]
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recentMessages: CompressibleConversationMessage[]
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estimatedInputTokens: number
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effectiveTriggerTokens: number
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}
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export type PrefixCompressionPlan<T> = {
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earlierUnits: T[]
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recentUnits: T[]
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estimatedInputTokens: number
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effectiveTriggerTokens: number
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}
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export const contextSummaryTokenBudget = 8_192
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function groupConversationTurns(
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messages: readonly CompressibleConversationMessage[]
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): CompressibleConversationMessage[][] {
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const turns: CompressibleConversationMessage[][] = []
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for (const message of messages) {
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const current = turns.at(-1)
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if (
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message.role === 'assistant' &&
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current?.at(-1)?.role === 'user'
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) {
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current.push(message)
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} else {
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turns.push([message])
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}
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}
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return turns
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}
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export function planPrefixCompression<T>(input: {
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units: readonly T[]
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estimatedInputTokens: number
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effectiveTriggerTokens: number
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recentRawTokens: number
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estimateUnitTokens: (unit: T) => number
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allowCompressLatestUnit?: boolean
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maximumRecentRawTokens?: number
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}): PrefixCompressionPlan<T> | undefined {
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if (
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input.estimatedInputTokens < input.effectiveTriggerTokens ||
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input.units.length === 0 ||
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(input.units.length < 2 && !input.allowCompressLatestUnit)
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) {
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return undefined
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}
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const recentRawTokenBudget = Math.min(
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input.recentRawTokens,
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Math.max(0, input.maximumRecentRawTokens ?? Number.MAX_SAFE_INTEGER)
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)
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if (input.units.length === 1 && input.allowCompressLatestUnit) {
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if (
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input.estimateUnitTokens(input.units[0]!) <=
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recentRawTokenBudget
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) {
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return undefined
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}
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return {
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earlierUnits: [...input.units],
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recentUnits: [],
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estimatedInputTokens: input.estimatedInputTokens,
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effectiveTriggerTokens: input.effectiveTriggerTokens
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}
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}
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const earlierUnits = [...input.units]
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const recentUnits: T[] = []
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let recentTokens = 0
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while (earlierUnits.length > 0) {
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const unit = earlierUnits.at(-1)!
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const unitTokens = input.estimateUnitTokens(unit)
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if (
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(recentUnits.length > 0 || input.allowCompressLatestUnit) &&
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recentTokens + unitTokens > recentRawTokenBudget
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) {
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break
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}
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recentUnits.unshift(earlierUnits.pop()!)
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recentTokens += unitTokens
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}
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if (earlierUnits.length === 0) {
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return undefined
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}
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return {
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earlierUnits,
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recentUnits,
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estimatedInputTokens: input.estimatedInputTokens,
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effectiveTriggerTokens: input.effectiveTriggerTokens
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}
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}
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export function planContextCompression(input: {
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history: readonly CompressibleConversationMessage[]
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prompt: string
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summaryTokens?: number
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settings: ContextCompressionSettings
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contextWindowTokens?: number
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allowCompressLatestTurn?: boolean
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effectiveTriggerTokens?: number
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triggerContextTokens?: number
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}): ContextCompressionPlan | undefined {
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const estimatedInputTokens = estimateContextInputTokens({
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history: input.history,
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prompt: input.prompt,
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summaryTokens: input.summaryTokens
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})
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const effectiveTriggerTokens =
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input.effectiveTriggerTokens ??
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getEffectiveContextTriggerTokens({
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triggerTokens: input.settings.triggerTokens,
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contextWindowTokens: input.contextWindowTokens
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})
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const planningInputTokens = Math.max(
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estimatedInputTokens,
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input.triggerContextTokens ?? 0
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)
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if (planningInputTokens < effectiveTriggerTokens) {
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return undefined
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}
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const fixedContextTokens = estimateContextInputTokens({
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history: [],
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prompt: input.prompt,
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summaryTokens: contextSummaryTokenBudget
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})
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const turns = groupConversationTurns(input.history)
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const plan = planPrefixCompression({
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units: turns,
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estimatedInputTokens: planningInputTokens,
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effectiveTriggerTokens,
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recentRawTokens: input.settings.recentRawTokens,
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estimateUnitTokens: estimateMessagesTokens,
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allowCompressLatestUnit: input.allowCompressLatestTurn,
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maximumRecentRawTokens: Math.max(
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0,
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effectiveTriggerTokens - fixedContextTokens
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)
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})
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if (!plan) {
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return undefined
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}
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return {
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earlierMessages: plan.earlierUnits.flat(),
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recentMessages: plan.recentUnits.flat(),
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estimatedInputTokens,
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effectiveTriggerTokens: plan.effectiveTriggerTokens
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}
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}
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export function formatConversationForSummary(
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messages: readonly CompressibleConversationMessage[]
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): string {
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return messages
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.map(
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(message) =>
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`${message.role === 'user' ? 'USER' : 'ASSISTANT'}:\n${message.content}`
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)
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.join('\n\n')
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}
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