Files
goodbuddy/src/agent-daemon/continue-acp-helper.ts
T
mesalogo a3b7a27045 fix: preserve drafts, canvas edits, and remote Continue tools
Keep paragraph formatting and checklist todos when removing canvas pages,
and preserve accepted undo/redo history after oversized input is rejected.
Merge restored queued text into the latest conversation draft and retain
image delivery when OCR returns image references and generated warnings only.

Deliver session MCP servers to bridged remote Continue Execute while keeping
Ask read-only and preserving local model-profile isolation. Add regression
coverage and update feature documentation. Correct stale conversation-limit
and forced-color assertions and the measured Electron layout test deadline.

Validation: 4,826 tests passed, 67 skipped; full typecheck and lint passed.
Current-source Linux x64 Execute/Ask/Execute MCP delivery passed, using 10
real text-provider requests and no image-provider requests. Image generation
itself was not exercised. Staged whitespace checks passed before commit.

Release note: 修复恢复队列时覆盖新输入、画布删页丢失清单格式及超限输入清空撤销历史的问题;图片 OCR 无正文时保留原图发送方式,远程 Continue Execute 正确保留会话 MCP 工具。
2026-09-19 23:09:48 +08:00

188 lines
10 KiB
TypeScript

import { randomBytes, randomUUID } from 'node:crypto'
import { createServer } from 'node:http'
import { spawn } from 'node:child_process'
import { mkdtemp, rm } from 'node:fs/promises'
import { tmpdir } from 'node:os'
import { join } from 'node:path'
import { Readable, Writable } from 'node:stream'
import { AgentSideConnection, ndJsonStream, PROTOCOL_VERSION, type Agent, type McpServer } from '@agentclientprotocol/sdk'
import { ContinueHostAdapter } from '../main/agent/continue-host-adapter'
import { promptWithUntrustedConversationHistory } from '../main/agent/runtime-conversation-history'
import type { AgentExecutionRequest, AgentImage } from '../main/agent/runtime'
import { createUnixModelBridgeExchange } from './model-bridge-broker'
import { ModelBridgeLoopbackProxy, MODEL_BRIDGE_SDK_AUTH_SENTINEL, openCodeModelBridgeModelId, type ModelBridgeProtocol } from './model-bridge-helper'
export async function runContinueAcpHelper(options: {
socketPath: string
protocol: ModelBridgeProtocol
model: string
supportsImageInput: boolean
workMode: 'ask' | 'execute'
sharedSessions?: boolean
entrypoint: string
}): Promise<number> {
const proxy = new ModelBridgeLoopbackProxy({
exchange: createUnixModelBridgeExchange({ socketPath: options.socketPath }),
sharedSessions: options.sharedSessions
})
const origin = await proxy.listen()
const root = await mkdtemp(join(tmpdir(), 'goodbuddy-continue-'))
const questions = new Map<string, { sessionId: string; adapter: ContinueHostAdapter }>()
const token = randomBytes(32).toString('base64url')
const replies = createServer((request, response) => { void (async () => {
if (request.method !== 'POST' || request.url !== `/${token}`) { response.writeHead(404).end(); return }
let body = ''
for await (const chunk of request) { body += chunk; if (body.length > 64 * 1024) throw new Error('Question reply too large') }
const value = JSON.parse(body) as { questionId: string; sessionId: string; answers: string[][] }
const pending = questions.get(value.questionId)
if (!pending || pending.sessionId !== value.sessionId) { response.writeHead(409).end(); return }
await pending.adapter.respondToQuestion(value.questionId, value.answers.length ? value.answers : undefined)
questions.delete(value.questionId)
response.writeHead(200).end('{}')
})().catch(() => response.writeHead(400).end()) })
await new Promise<void>((resolve, reject) => { replies.once('error', reject); replies.listen(0, '127.0.0.1', resolve) })
const questionEndpoint = `http://127.0.0.1:${(replies.address() as import('node:net').AddressInfo).port}/${token}`
const sessions = new Map<string, {
cwd: string
mcpServers: McpServer[]
history: NonNullable<AgentExecutionRequest['history']>
active?: { abort: AbortController; adapter: ContinueHostAdapter; finished: Promise<void> }
}>()
const modelId = openCodeModelBridgeModelId(options.protocol, options.model)
const configOptions = [{ id: 'model', name: 'Model', type: 'select' as const, currentValue: modelId,
options: [{ value: modelId, name: options.model }] }]
const agent: Agent = {
initialize: async () => ({ protocolVersion: PROTOCOL_VERSION, agentCapabilities: {
loadSession: true, mcpCapabilities: { http: true }, promptCapabilities: { image: true },
sessionCapabilities: { resume: {}, close: {} }
}, agentInfo: { name: 'GoodBuddy Continue', version: '1.5.47' } }),
authenticate: async () => ({}),
newSession: async ({ cwd, mcpServers }) => {
const sessionId = randomUUID()
sessions.set(sessionId, { cwd, mcpServers, history: [] })
return { sessionId, configOptions }
},
loadSession: async ({ sessionId, cwd, mcpServers }) => {
const session = sessions.get(sessionId)
if (!session || session.cwd !== cwd) throw new Error('Continue Session is unavailable')
session.mcpServers = mcpServers
return { configOptions }
},
resumeSession: async ({ sessionId, cwd, mcpServers }) => {
const session = sessions.get(sessionId)
if (!session || session.cwd !== cwd) throw new Error('Continue Session is unavailable')
if (mcpServers) session.mcpServers = mcpServers
return { configOptions }
},
setSessionConfigOption: async ({ sessionId, configId, value }) => {
if (!sessions.has(sessionId) || configId !== 'model' || value !== modelId) throw new Error('Continue model selection does not match the prepared model')
return { configOptions }
},
prompt: async ({ sessionId, prompt }) => {
const session = sessions.get(sessionId)
if (!session || session.active) throw new Error('Continue Session is unavailable or busy')
const route = options.sharedSessions ? await fetch(`${origin}/session?sessionId=${encodeURIComponent(sessionId)}`, {
signal: AbortSignal.timeout(10_000)
}).then(async response => {
if (!response.ok) throw new Error('Continue model route is unavailable')
return await response.json() as { operationId: string; workMode: 'ask' | 'execute' }
}) : undefined
const workMode = route?.workMode ?? options.workMode
const sessionMcpServers = workMode === 'execute' ? session.mcpServers.map(server => {
if (!('type' in server) || server.type !== 'http') throw new Error('Continue remote MCP requires HTTP')
return { name: server.name, type: 'streamable-http' as const, url: server.url,
requestOptions: { headers: Object.fromEntries(server.headers.map(header => [header.name, header.value])) } }
}) : []
const adapter = new ContinueHostAdapter({
binaryPath: options.entrypoint, configPath: '', workspace: session.cwd, cacheRoot: root, mode: 'chat',
modelProfile: { id: 'agent-bridge', name: 'GoodBuddy', modelName: options.model,
protocol: options.protocol, authentication: 'api-key', apiKey: MODEL_BRIDGE_SDK_AUTH_SENTINEL,
baseUrl: `${origin}/v1`, supportsImageInput: options.supportsImageInput,
...(route ? { requestHeaders: { 'x-goodbuddy-session': sessionId, 'x-goodbuddy-operation': route.operationId } } : {}) },
launchHost: (entry, args, launch) => spawn(process.execPath, [entry, ...args], { ...launch, stdio: ['ignore', 'ignore', 'pipe'] })
})
const abort = new AbortController()
let finish!: () => void
const text = prompt.filter(part => part.type === 'text').map(part => part.text).join('\n')
const images = prompt.filter(part => part.type === 'image').map<AgentImage>((part, index) => {
if (part.mimeType !== 'image/png' && part.mimeType !== 'image/jpeg') throw new Error('Unsupported Continue image type')
return { name: `image-${index}`, mediaType: part.mimeType, data: part.data }
})
session.active = { abort, adapter, finished: new Promise(resolve => { finish = resolve }) }
try {
const result = await adapter.run(promptWithUntrustedConversationHistory({ prompt: text, history: session.history }, true), abort.signal,
async () => workMode === 'execute' ? 'once' : 'deny', {
workMode, images, sessionMcpServers,
onEvent: async event => {
if (event.type === 'text') await connection.sessionUpdate({ sessionId, update: {
sessionUpdate: 'agent_message_chunk', content: { type: 'text', text: event.delta }
} })
if (event.type === 'checklist') await connection.sessionUpdate({ sessionId, update: {
sessionUpdate: 'tool_call_update', toolCallId: 'goodbuddy-native-checklist',
_meta: { goodbuddyChecklist: event.checklist }
} })
if (event.type === 'tool') await connection.sessionUpdate({ sessionId, update: {
sessionUpdate: 'tool_call_update', toolCallId: event.tool.callId, title: event.tool.name,
status: event.tool.state === 'running' ? 'in_progress' : event.tool.state,
rawInput: event.tool.input,
content: event.tool.output || event.tool.error ? [{ type: 'content', content: {
type: 'text', text: event.tool.error ?? event.tool.output!
} }] : []
} })
if (event.type === 'question') {
questions.set(event.questionId, { sessionId, adapter })
await connection.sessionUpdate({ sessionId, update: {
sessionUpdate: 'tool_call_update', toolCallId: event.questionId,
_meta: { goodbuddyQuestion: { endpoint: questionEndpoint,
question: { id: event.questionId, sessionID: sessionId, questions: event.questions } } }
} })
}
}
})
if (!result.streamedText && result.text) await connection.sessionUpdate({ sessionId, update: {
sessionUpdate: 'agent_message_chunk', content: { type: 'text', text: result.text }
} })
session.history.push({ role: 'user', content: text }, { role: 'assistant', content: result.text })
return { stopReason: 'end_turn', ...(result.usage ? { usage: {
inputTokens: result.usage.inputTokens, outputTokens: result.usage.outputTokens,
totalTokens: result.usage.inputTokens + result.usage.outputTokens,
cachedReadTokens: result.usage.cacheReadTokens, cachedWriteTokens: result.usage.cacheWriteTokens
} } : {}) }
} catch (error) {
if (abort.signal.aborted) return { stopReason: 'cancelled' }
throw error
} finally {
await adapter.dispose()
for (const [id, pending] of questions) if (pending.adapter === adapter) questions.delete(id)
session.active = undefined
finish()
}
},
cancel: async ({ sessionId }) => {
const active = sessions.get(sessionId)?.active
active?.abort.abort(new DOMException('Cancelled', 'AbortError'))
await active?.finished
},
closeSession: async ({ sessionId }) => {
await agent.cancel({ sessionId })
sessions.delete(sessionId)
return {}
}
}
const connection = new AgentSideConnection(() => agent, ndJsonStream(
Writable.toWeb(process.stdout), Readable.toWeb(process.stdin)
))
try {
if (options.sharedSessions) await connection.extNotification('goodbuddy/modelBridgeReady', { origin })
await connection.closed
return 0
} finally {
for (const session of sessions.values()) session.active?.abort.abort()
await Promise.all([...sessions.values()].map(session => session.active?.finished))
await proxy.close()
replies.closeAllConnections()
await new Promise<void>(resolve => replies.close(() => resolve()))
await rm(root, { recursive: true, force: true })
}
}