Local direct-model text conversations could not use manual context compaction, and disabling automatic compression prevented saved summaries from being reused. Restore the composer action regardless of the automatic setting or threshold, use the selected summary connection, and persist summaries for subsequent requests while retaining recent turns and full conversation history. Image connections, remote channel conversations, and SSH projects remain outside the local direct-model compaction workflow. Add focused regressions, a local Electron end-to-end test, and an opt-in two-request live probe. Validation: staged snapshot passed typecheck, changed-file ESLint, 13 focused tests, and the Electron end-to-end test with two local HTTP fixture requests. No additional real-model calls were made during commit verification. Release note: 修复本地直连文本模型无法手动压缩上下文的问题。现在关闭自动压缩或尚未达到触发阈值时,也可点击“压缩上下文”;摘要会随会话保存并用于后续对话,同时保留最近轮次和完整历史。
94 lines
4.8 KiB
TypeScript
94 lines
4.8 KiB
TypeScript
import { app, safeStorage } from 'electron'
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import { readFileSync, writeFileSync, unlinkSync } from 'node:fs'
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import { join } from 'node:path'
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import assert from 'node:assert/strict'
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import { RuntimeSettingsStore } from '../../src/main/runtime-settings-store'
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import { createModelProfileRuntime } from '../../src/main/agent/create-runtime'
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import { applyRuntimeSelection } from '../../src/main/agent/runtime-selection'
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import { defaultRuntimeSettings } from '../../src/shared/contracts'
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let calls = 0
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let stage = 'settings'
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void app.whenReady().then(async () => {
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const directory = process.env.GB_COMPACT_LIVE_DIRECTORY!
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const source = process.env.GB_COMPACT_LIVE_SETTINGS!
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const original = readFileSync(source)
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const snapshot = join(directory, 'settings-snapshot.json')
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writeFileSync(snapshot, original)
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const store = new RuntimeSettingsStore(snapshot, {
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isAvailable: () => safeStorage.isEncryptionAvailable(),
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encrypt: () => { throw new Error('Read-only probe') },
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decrypt: value => safeStorage.decryptString(value)
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}, process.env)
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const settings = await store.getResolvedSettings().finally(() => unlinkSync(snapshot))
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stage = 'profile'
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const profile = settings.modelProfiles.find(item => item.protocol !== 'openai-images-generations' &&
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(item.authentication === 'none' || Boolean(item.apiKey)))
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assert(profile && profile.protocol !== 'openai-images-generations')
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console.log(JSON.stringify({ credentialReadable: Boolean(profile.apiKey), authentication: profile.authentication,
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encryptionAvailable: safeStorage.isEncryptionAvailable() }))
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const runtimeSelection = { provider: 'model' as const, profileId: profile.id }
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const selected = applyRuntimeSelection(settings, runtimeSelection).settings
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selected.contextCompression = { ...(selected.contextCompression ?? defaultRuntimeSettings.contextCompression), enabled: false, modelSource: { kind: 'current' } }
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selected.workspacePath = directory
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const originalFetch = globalThis.fetch
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const payloads: string[] = []
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globalThis.fetch = async (input, init) => {
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assert(calls < 2, 'Two-call budget exceeded')
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const body = JSON.parse(String(init?.body))
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assert.equal(body.tools?.length ?? 0, 0)
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payloads.push(JSON.stringify(body.messages ?? body.input))
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calls++
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return originalFetch(input, init)
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}
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const history = [
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{ role: 'user' as const, content: 'Remember the project codename is Cedar. Reply briefly.' },
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{ role: 'assistant' as const, content: 'The project codename is Cedar.' },
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{ role: 'user' as const, content: 'The next meeting is Tuesday.' },
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{ role: 'assistant' as const, content: 'Meeting: Tuesday.' }
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]
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const historyMessageIds = history.map(() => crypto.randomUUID())
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const runtime = createModelProfileRuntime(directory, selected, { ...profile, maximumOutputTokens: 1024 })
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stage = 'compact'
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const signal = AbortSignal.timeout(90000)
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const result = await runtime.compactConversation({
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requestId: crypto.randomUUID(), conversationId: crypto.randomUUID(), runtimeSelection,
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history, historyMessageIds
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}, signal)
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assert.equal(result.result.compacted, true)
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const state = result.result.contextCompressionState!
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assert.equal(state.coveredMessageCount, 2)
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await runtime.dispose()
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// A new Runtime must consume the serialized state, without relying on an in-memory cache.
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const next = createModelProfileRuntime(directory, selected, { ...profile, maximumOutputTokens: 1024 })
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stage = 'restore'
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let answer = ''
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try {
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for await (const event of next.run({
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requestId: crypto.randomUUID(), conversationId: crypto.randomUUID(), runtimeSelection,
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prompt: 'What is the project codename? Reply with that word only.', history, historyMessageIds,
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contextCompressionState: JSON.parse(JSON.stringify(state))
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}, signal)) {
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assert.notEqual(event.type, 'error', 'Runtime returned an error')
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if (event.type === 'text') answer += event.delta
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}
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} finally { await next.dispose() }
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stage = 'summary-payload'
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assert(payloads[1]!.includes(JSON.stringify(state.summary).slice(1, -1)))
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stage = 'history-payload'
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assert(!payloads[1]!.includes(history[0]!.content))
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assert(payloads[1]!.includes(history[2]!.content))
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stage = 'answer'
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assert.match(answer, /Cedar/i)
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stage = 'settings-unchanged'
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assert(readFileSync(source).equals(original))
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console.log(JSON.stringify({ realCallCount: calls, compacted: true, coveredMessageCount: state.coveredMessageCount,
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summaryRestoredInNewRuntime: true, recentHistoryRetained: true, answerCorrect: true, sourceSettingsUnchanged: true }))
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app.exit(0)
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}).catch((error: unknown) => {
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console.error(JSON.stringify({ realCallCount: calls, failed: true, stage,
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errorType: error instanceof Error ? error.name : 'unknown',
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location: error instanceof Error ? error.stack?.split('\n')[1]?.replace(/\([^)]*\)/g, '(redacted)') : undefined }))
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app.exit(1)
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})
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