Files
goodbuddy/src/main/agent/create-runtime.ts
T
mesalogo 4490e5fd15 fix: stabilize Runtime workflows for 0.12.3
OpenCode status checks could cold-start throwaway servers, unrelated
conversations could block each other, and model, Continue, or remote paths
could replay or duplicate work under failure and backlog conditions. Settings
could also lose edits or overwrite unrelated model fields.

This update makes status checks passive, keeps per-conversation ordering while
allowing concurrency, preserves native long-running work with bounded display
capture and backpressure, narrows retries to known pre-dispatch failures, and
aligns remote Ask permissions without reducing Execute. It also keeps
Embedding updates narrow, improves settings and browser guidance, removes the
unused legacy Main gateway state, and records the validated Desktop 0.12.3 and
Agent 0.11.17 release metadata.

Release note: 改善 OpenCode 切换、多会话长任务、模型重试、远程 Ask/Execute 与设置保存可靠性,并完成 Desktop 0.12.3 / Agent 0.11.17 发布准备。
2026-09-04 08:05:29 +08:00

386 lines
13 KiB
TypeScript

import {
ModelAgentRuntime,
type ModelRuntimeOptions
} from './model-runtime'
import { ContinueAgentRuntime } from './continue-runtime'
import { OpenCodeRuntime } from './opencode-runtime'
import {
DeepSeekHarnessRuntime,
type DeepSeekHarnessRuntimeOptions
} from './deepseek-harness-runtime'
import type { AgentRuntime } from './runtime'
import { UnconfiguredAgentRuntime } from './unconfigured-runtime'
import type {
ResolvedModelProfile,
ResolvedRuntimeSettings
} from '../runtime-settings-store'
import {
defaultRuntimeSettings,
isDeepSeekHarnessModelProfile,
isAgentRuntimeModelProtocol
} from '../../shared/contracts'
import type {
ResolvedMcpServer,
RuntimeSkillPackage
} from '../capabilities/capability-service'
import type { BundledRuntimePaths } from './bundled-runtimes'
import {
ContinueHostAdapter,
type ContinueHostLauncher
} from './continue-host-adapter'
import type { BrowserToolService } from '../browser/browser-model-tools'
import type { ModelToolProviderLike } from './model-tool-provider'
import type { SubagentScheduler } from '../assistant/subagent-scheduler'
import type { KnowledgeMcpGateway } from './knowledge-mcp-gateway'
import { ModelToolProvider } from './model-tool-provider'
import type { ControlledHarnessExtensionPackage } from './deepseek-harness-extension-loader'
import {
LocalWorkspaceAccess,
type WorkspaceAccess
} from '../workspace'
import {
REMOTE_EXECUTION_SPACE_UNAVAILABLE,
type ExecutionSpaceDescriptor
} from '../execution-space'
import type { LaunchEnvironmentProvider } from '../local-tool-environment/launch-environment-provider'
const noSubagentTools: ModelToolProviderLike = {
listTools: async () => [],
getApproval: () => {
throw new Error('子专家不允许工具调用')
},
callTool: async () => {
throw new Error('子专家不允许工具调用')
},
releaseConversation: async () => undefined,
dispose: async () => undefined
}
export type AgentCapabilityContext = {
skillInstructions?: string
skillPackages?: RuntimeSkillPackage[]
mcpServers?: ResolvedMcpServer[]
continueHostCacheRoot?: string
bundledRuntimePaths?: BundledRuntimePaths
continueHostLauncher?: ContinueHostLauncher
deepseekHarnessLauncher?: DeepSeekHarnessRuntimeOptions['launch']
deepseekHarnessExtensions?: ControlledHarnessExtensionPackage[]
browserService?: BrowserToolService
knowledgeGateway?: KnowledgeMcpGateway
webSearchEnabled?: boolean
executionSpace?: ExecutionSpaceDescriptor
workspaceAccess?: WorkspaceAccess
directModelSubagentScheduler?: SubagentScheduler
launchEnvironmentProvider?: LaunchEnvironmentProvider
}
function resolveContextCompression(
settings: ResolvedRuntimeSettings,
currentProfile: ResolvedModelProfile | undefined
): ModelRuntimeOptions['contextCompression'] {
const compression =
settings.contextCompression ?? defaultRuntimeSettings.contextCompression
const source = compression.modelSource
const summaryProfile =
source.kind === 'profile'
? settings.modelProfiles.find(
(profile) =>
profile.id === source.profileId &&
isAgentRuntimeModelProtocol(profile.protocol)
)
: undefined
return {
settings: compression,
contextWindowTokens: currentProfile?.contextWindowTokens,
...(summaryProfile
? {
summaryModel: {
apiKey: summaryProfile.apiKey,
baseUrl: summaryProfile.baseUrl,
model: summaryProfile.modelName,
protocol: summaryProfile.protocol as Exclude<
typeof summaryProfile.protocol,
'openai-images-generations'
>,
authentication: summaryProfile.authentication,
contextWindowTokens: summaryProfile.contextWindowTokens,
maximumOutputTokens: summaryProfile.maximumOutputTokens,
requestHeaders: summaryProfile.requestHeaders,
requestBody: summaryProfile.requestBody
}
}
: {})
}
}
export function createDefaultModelRuntime(
defaultWorkspace: string,
settings: ResolvedRuntimeSettings
): AgentRuntime {
if (settings.modelProtocol === 'openai-images-generations') {
return new UnconfiguredAgentRuntime()
}
const currentProfile = settings.modelProfiles.find(
(profile) => profile.id === settings.defaultModelProfileId
)
return new ModelAgentRuntime({
apiKey: settings.apiKey,
baseUrl: settings.modelBaseUrl,
model: settings.modelName,
protocol: settings.modelProtocol,
authentication: settings.modelAuthentication,
requestHeaders: currentProfile?.requestHeaders,
requestBody: currentProfile?.requestBody,
supportsImageInput: settings.supportsImageInput,
maximumOutputTokens: currentProfile?.maximumOutputTokens,
defaultWorkspace: settings.workspacePath || defaultWorkspace,
contextCompression: resolveContextCompression(
settings,
currentProfile
),
toolProvider: noSubagentTools
})
}
export function createModelProfileRuntime(
defaultWorkspace: string,
settings: ResolvedRuntimeSettings,
profile: ResolvedModelProfile
): ModelAgentRuntime {
return new ModelAgentRuntime({
apiKey: profile.apiKey,
baseUrl: profile.baseUrl,
model: profile.modelName,
protocol: profile.protocol,
authentication: profile.authentication,
requestHeaders: profile.requestHeaders,
requestBody: profile.requestBody,
supportsImageInput: profile.supportsImageInput,
maximumOutputTokens: profile.maximumOutputTokens,
imageGenerationQuality:
profile.imageGenerationQuality ??
defaultRuntimeSettings.imageGenerationQuality,
contextCompression: resolveContextCompression(settings, profile),
defaultWorkspace: settings.workspacePath || defaultWorkspace,
toolProvider: noSubagentTools
})
}
export function createAgentRuntime(
defaultWorkspace: string,
settings?: ResolvedRuntimeSettings,
capabilities: AgentCapabilityContext = {}
): AgentRuntime {
const executionSpace = capabilities.executionSpace
const remote = executionSpace?.kind === 'ssh'
const baseUrl = (
settings?.opencodeBaseUrl ||
process.env.GOODBUDDY_OPENCODE_URL ||
''
).trim()
const embedded = !baseUrl
const workspace =
executionSpace?.kind === 'local'
? executionSpace.rootPath
: settings?.workspacePath || defaultWorkspace
const getWorkspaceAccess = (): WorkspaceAccess =>
capabilities.workspaceAccess ??
executionSpace?.workspaceAccess ??
new LocalWorkspaceAccess(workspace)
const provider = settings?.provider ?? defaultRuntimeSettings.provider
if (
remote &&
(provider === 'continue' ||
provider === 'opencode' ||
provider === 'deepseek-harness' ||
provider === 'auto')
) {
throw new Error(REMOTE_EXECUTION_SPACE_UNAVAILABLE)
}
if (provider === 'deepseek-harness') {
const profile = settings?.deepseekHarnessModelProfile
if (!profile || !isDeepSeekHarnessModelProfile(profile)) {
throw new Error(
'DeepSeek Harness 需要使用 API Key 的 OpenAI 兼容 Chat Completions 模型连接'
)
}
if (!profile.apiKey) {
throw new Error('DeepSeek Harness 模型连接未配置 API Key')
}
if (!capabilities.deepseekHarnessLauncher) {
throw new Error('DeepSeek Harness 受控 Host 启动器不可用')
}
return new DeepSeekHarnessRuntime({
defaultWorkspace: workspace,
baseUrl: profile.baseUrl,
model: profile.modelName,
supportsImageInput: profile.supportsImageInput === true,
requestHeaders: profile.requestHeaders,
launch: capabilities.deepseekHarnessLauncher,
credentialRefs: {
GOODBUDDY_HARNESS_MODEL_API_KEY: profile.apiKey
},
skillPackages: capabilities.skillPackages,
extensionPackages: capabilities.deepseekHarnessExtensions,
toolProvider: new ModelToolProvider(
getWorkspaceAccess(),
capabilities.mcpServers,
undefined,
capabilities.knowledgeGateway,
capabilities.webSearchEnabled === true,
{},
capabilities.launchEnvironmentProvider
)
})
}
if (provider === 'continue') {
if (
settings?.continueModelProfile &&
!isAgentRuntimeModelProtocol(
settings.continueModelProfile.protocol
)
) {
throw new Error(
'Continue 独立模型连接仅支持文本对话协议,不支持图像生成协议'
)
}
return new ContinueAgentRuntime({
binaryPath:
settings?.continueBinaryPath ??
process.env.GOODBUDDY_CONTINUE_BINARY?.trim() ??
process.env.GOODBUDDY_CONTINUE_COMMAND?.trim() ??
'',
bundledBinaryPath: capabilities.bundledRuntimePaths?.continue,
configPath:
settings?.continueConfigPath ??
process.env.GOODBUDDY_CONTINUE_CONFIG?.trim() ??
'',
modelProfile: settings?.continueModelProfile,
skillInstructions: capabilities.skillInstructions,
skillPackages: capabilities.skillPackages,
defaultWorkspace: workspace,
hostCacheRoot:
capabilities.continueHostCacheRoot ??
process.env.GOODBUDDY_CONTINUE_HOST_CACHE?.trim() ??
'',
launchHost: capabilities.continueHostLauncher,
createHostAdapter: capabilities.launchEnvironmentProvider
? (options) =>
new ContinueHostAdapter({
...options,
launchEnvironmentProvider:
capabilities.launchEnvironmentProvider
})
: undefined,
knowledgeGateway: capabilities.knowledgeGateway,
mcpServers: capabilities.mcpServers,
customization: settings?.runtimeCustomization.continue
})
}
if (provider === 'opencode' || (provider === 'auto' && (baseUrl || embedded))) {
if (
settings?.opencodeModelProfile &&
!isAgentRuntimeModelProtocol(
settings.opencodeModelProfile.protocol
)
) {
throw new Error(
'OpenCode 独立模型连接仅支持文本对话协议,不支持图像生成协议'
)
}
return new OpenCodeRuntime({
baseUrl,
embedded,
binaryPath:
settings?.opencodeBinaryPath ??
process.env.GOODBUDDY_OPENCODE_BINARY?.trim() ??
'',
bundledBinaryPath: capabilities.bundledRuntimePaths?.opencode,
configPath:
settings?.opencodeConfigPath ??
process.env.GOODBUDDY_OPENCODE_CONFIG?.trim() ??
'',
modelProfile: settings?.opencodeModelProfile,
skillInstructions: capabilities.skillInstructions,
skillPackages: capabilities.skillPackages,
defaultWorkspace: workspace,
knowledgeGateway: capabilities.knowledgeGateway,
mcpServers: capabilities.mcpServers,
customization: settings?.runtimeCustomization.opencode,
launchEnvironmentProvider:
capabilities.launchEnvironmentProvider
})
}
const defaultModelProfile =
settings?.modelProfiles.find(
(profile) => profile.id === settings.defaultModelProfileId
) ?? settings?.modelProfiles[0]
const modelApiKey =
defaultModelProfile?.apiKey ||
settings?.apiKey ||
process.env.GOODBUDDY_MODEL_API_KEY?.trim() ||
process.env.GOODBUDDY_BIGTOKEN_API_KEY?.trim()
const modelAuthentication =
defaultModelProfile?.authentication ??
settings?.modelAuthentication ??
defaultRuntimeSettings.modelAuthentication
if (
provider === 'model' ||
(provider === 'auto' &&
(modelAuthentication === 'none' || modelApiKey))
) {
return new ModelAgentRuntime({
apiKey: modelApiKey ?? '',
baseUrl:
defaultModelProfile?.baseUrl ||
settings?.modelBaseUrl ||
process.env.GOODBUDDY_MODEL_BASE_URL?.trim() ||
process.env.GOODBUDDY_BIGTOKEN_BASE_URL?.trim() ||
defaultRuntimeSettings.modelBaseUrl,
model:
defaultModelProfile?.modelName ||
settings?.modelName ||
process.env.GOODBUDDY_MODEL_NAME?.trim() ||
process.env.GOODBUDDY_BIGTOKEN_MODEL?.trim() ||
defaultRuntimeSettings.modelName,
protocol:
defaultModelProfile?.protocol ??
settings?.modelProtocol ??
defaultRuntimeSettings.modelProtocol,
authentication: modelAuthentication,
requestHeaders: defaultModelProfile?.requestHeaders,
requestBody: defaultModelProfile?.requestBody,
supportsImageInput:
defaultModelProfile?.supportsImageInput ??
settings?.supportsImageInput ??
defaultRuntimeSettings.supportsImageInput,
maximumOutputTokens: defaultModelProfile?.maximumOutputTokens,
imageGenerationQuality:
defaultModelProfile?.imageGenerationQuality ??
settings?.imageGenerationQuality ??
defaultRuntimeSettings.imageGenerationQuality,
skillInstructions: capabilities.skillInstructions,
defaultWorkspace: workspace,
mcpServers: capabilities.mcpServers,
browserService: capabilities.browserService,
knowledgeGateway: capabilities.knowledgeGateway,
webSearchEnabled: capabilities.webSearchEnabled,
contextCompression: settings
? resolveContextCompression(settings, defaultModelProfile)
: undefined,
workspaceAccess: getWorkspaceAccess(),
directModelSubagentScheduler:
capabilities.directModelSubagentScheduler,
launchEnvironmentProvider:
capabilities.launchEnvironmentProvider
})
}
return new UnconfiguredAgentRuntime()
}