fix: separate Anthropic output and context limits

Direct Anthropic connections reused the configured context window as max_tokens, which could impose an unintended output value or send a provider-invalid request. Anthropic connections now expose an independent per-response maximum output setting, defaulting to 32K for the protocol-required field, while OpenAI direct requests remain without an added output token cap and direct tool rounds remain unmetered.

Release note: Anthropic 直连模型现在可单独配置单次最大输出，不再复用上下文窗口；OpenAI 直连请求和工具调用轮次不增加额外配额。

README.md

@@ -20,7 +20,7 @@ GoodBuddy是一个开箱即用的 AI 生产平台，安全、跨平台、本地
 - **安全执行**：`Ask` 保持只读；`Execute` 仅运行已启用且受边界约束的工具，并保留活动记录。
 - **本地优先**：会话、任务、成果、记忆、知识库和图谱保存在本地 SQLite；API Key 由系统安全存储加密。
 - **多 Runtime**：支持直连模型、OpenCode、Continue 和预览版 DeepSeek Harness，统一处理取消、超时、输出限制和进程退出；原生能力清单将 Tools 与 Commands、LSP、Formatters 分开，并显示来源及 Ask/Execute 可用性。内置 OpenCode 提供 Agent、Tool、Command 与原生 Compact，Continue 提供 Rules、Prompt 预设、结构化提问与 GoodBuddy 手动摘要压缩，并明确标记当前版本无法静态发现原生 Tools。
-- **开放连接**：支持 OpenAI Responses、OpenAI 兼容 Chat Completions、Anthropic Messages、OpenAI Images、Embeddings、跨 Runtime Skills 与自定义 MCP，以及默认关闭、由用户显式开启的 DeepSeek Harness npm 插件市场。MCP 测试可读取有界 Prompt/Resource 元数据，但不会读取 Resource 内容。
+- **开放连接**：支持 OpenAI Responses、OpenAI 兼容 Chat Completions、Anthropic Messages、OpenAI Images、Embeddings、跨 Runtime Skills 与自定义 MCP，以及默认关闭、由用户显式开启的 DeepSeek Harness npm 插件市场。Anthropic 连接可独立配置协议必填的单次最大输出，不再复用上下文窗口；OpenAI 直连请求不额外设置输出 Token 上限。MCP 测试可读取有界 Prompt/Resource 元数据，但不会读取 Resource 内容。
 - **知识工作区**：支持文件、目录和网页导入，以及全文、词组、向量和图谱混合检索。
 - **工作管理**：集中管理 Projects、对话、任务、活动、成果、记忆、魔法笔记和智能心跳；可从稳定的本地会话复制当前聊天内容并创建互不影响的会话分支。
 - **远程通道**：支持微信 ClawBot、企业微信和钉钉，每个发送者使用独立远程会话。

docs/status/computer-control-implementation-status.md

@@ -28,8 +28,8 @@ Linux x64 和 Linux arm64。
   导航及重定向仍经过 DNS 解析和目标地址固定。
 - 已实现回环过滤代理、下载和文件选择器阻止、权限拒绝、会话取消、
   空闲回收和应用退出清理。
-- 直连模型工具循环已提高到适合浏览器任务的有界上限，并包含重复调用和
-  无进展保护。
+- 直连模型工具循环不设置工具次数或模型轮次配额；取消、请求超时、工具结果大小和
+  累计输出边界继续防止失控执行。
 
 ### MCP
 

src/main/agent/create-runtime.ts

@@ -96,7 +96,8 @@ function resolveContextCompression(
               'openai-images-generations'
             >,
             authentication: summaryProfile.authentication,
-            contextWindowTokens: summaryProfile.contextWindowTokens
+            contextWindowTokens: summaryProfile.contextWindowTokens,
+            maximumOutputTokens: summaryProfile.maximumOutputTokens
           }
         }
       : {})
@@ -120,6 +121,7 @@ export function createDefaultModelRuntime(
     protocol: settings.modelProtocol,
     authentication: settings.modelAuthentication,
     supportsImageInput: settings.supportsImageInput,
+    maximumOutputTokens: currentProfile?.maximumOutputTokens,
     defaultWorkspace: settings.workspacePath || defaultWorkspace,
     contextCompression: resolveContextCompression(
       settings,
@@ -141,6 +143,7 @@ export function createModelProfileRuntime(
     protocol: profile.protocol,
     authentication: profile.authentication,
     supportsImageInput: profile.supportsImageInput,
+    maximumOutputTokens: profile.maximumOutputTokens,
     imageGenerationQuality:
       profile.imageGenerationQuality ??
       defaultRuntimeSettings.imageGenerationQuality,

src/main/agent/model-runtime.test.ts

@@ -476,6 +476,7 @@ describe('ModelAgentRuntime', () => {
       model: 'sonnet-5',
       protocol: 'anthropic-messages',
       authentication: 'api-key',
+      maximumOutputTokens: 48_000,
       skillInstructions: '# 文档写作',
       fetcher
     })
@@ -500,11 +501,13 @@ describe('ModelAgentRuntime', () => {
 
     const body = JSON.parse(init?.body as string) as {
       model: string
+      max_tokens: number
       stream: boolean
       system: string
     }
     expect(body).toMatchObject({
       model: 'sonnet-5',
+      max_tokens: 48_000,
       stream: true
     })
     expect(body.system).toMatch(

src/main/agent/model-runtime.ts

@@ -8,6 +8,7 @@ import type {
   ModelProtocol,
   RuntimeConversationCompactInput
 } from '../../shared/contracts'
+import { defaultAnthropicMaximumOutputTokens } from '../../shared/contracts'
 import type { ResolvedMcpServer } from '../capabilities/capability-service'
 import type { BrowserToolService } from '../browser/browser-model-tools'
 import type { WorkspaceAccess } from '../workspace'
@@ -233,8 +234,10 @@ export type ModelRuntimeOptions = {
       protocol: Exclude<ModelProtocol, 'openai-images-generations'>
       authentication: ModelAuthentication
       contextWindowTokens?: number
+      maximumOutputTokens?: number
     }
   }
+  maximumOutputTokens?: number
 }
 
 function getErrorMessage(value: unknown): string | undefined {
@@ -1794,10 +1797,9 @@ export class ModelAgentRuntime implements AgentRuntime {
   }
 
   private get anthropicProtocolMaximumTokens(): number {
-    return Math.max(
-      this.options.contextCompression?.contextWindowTokens ??
-        minimumModelContextWindowTokens,
-      minimumModelContextWindowTokens
+    return (
+      this.options.maximumOutputTokens ??
+      defaultAnthropicMaximumOutputTokens
     )
   }
 
@@ -1877,7 +1879,8 @@ export class ModelAgentRuntime implements AgentRuntime {
         ModelProtocol,
         'openai-images-generations'
       >,
-      authentication: this.options.authentication
+      authentication: this.options.authentication,
+      maximumOutputTokens: this.options.maximumOutputTokens
     }
     const summaryRuntime = new ModelAgentRuntime({
       ...summaryModel,

src/main/agent/remote-model-gateway.ts

@@ -386,6 +386,7 @@ export function createResolvedModelProfileDigest(
       authentication: profile.authentication,
       supportsImageInput: profile.supportsImageInput === true,
       contextWindowTokens: profile.contextWindowTokens ?? null,
+      maximumOutputTokens: profile.maximumOutputTokens ?? null,
       imageGenerationQuality: profile.imageGenerationQuality ?? null
     })
   )

src/main/runtime-settings-store.test.ts

@@ -283,6 +283,7 @@ describe('RuntimeSettingsStore', () => {
             authentication: 'none',
             supportsImageInput: false,
             contextWindowTokens: 256_000,
+            maximumOutputTokens: 48_000,
             imageGenerationQuality: 'auto',
             apiKey: { action: 'keep' }
           }
@@ -302,7 +303,8 @@ describe('RuntimeSettingsStore', () => {
       modelProfiles: [
         {
           id: profileId,
-          contextWindowTokens: 256_000
+          contextWindowTokens: 256_000,
+          maximumOutputTokens: 48_000
         }
       ],
       contextCompression: {
@@ -316,7 +318,8 @@ describe('RuntimeSettingsStore', () => {
       modelProfiles: [
         {
           id: profileId,
-          contextWindowTokens: 256_000
+          contextWindowTokens: 256_000,
+          maximumOutputTokens: 48_000
         }
       ],
       contextCompression: {

src/main/runtime-settings-store.ts

@@ -170,6 +170,12 @@ const currentStoredModelProfileSchema = storedModelProfileSchema.extend({
     .int()
     .min(8_000)
     .max(10_000_000)
+    .optional(),
+  maximumOutputTokens: z
+    .number()
+    .int()
+    .min(1)
+    .max(10_000_000)
     .optional()
 })
 
@@ -434,6 +440,7 @@ export type ResolvedModelProfile = {
   authentication: RuntimeSettings['modelAuthentication']
   supportsImageInput?: boolean
   contextWindowTokens?: number
+  maximumOutputTokens?: number
   imageGenerationQuality?: RuntimeSettings['imageGenerationQuality']
   apiKey?: string
 }
@@ -1468,6 +1475,7 @@ export class RuntimeSettingsStore {
     authentication: RuntimeSettings['modelAuthentication']
     supportsImageInput: boolean
     contextWindowTokens?: number
+    maximumOutputTokens?: number
     imageGenerationQuality: RuntimeSettings['imageGenerationQuality']
     credentialSource: RuntimeSettings['credentialSource']
   } {
@@ -1529,6 +1537,7 @@ export class RuntimeSettingsStore {
         : profile.authentication,
       supportsImageInput: profile.supportsImageInput,
       contextWindowTokens: profile.contextWindowTokens,
+      maximumOutputTokens: profile.maximumOutputTokens,
       imageGenerationQuality: profile.imageGenerationQuality,
       credentialSource: credential.source
     }
@@ -1552,6 +1561,7 @@ export class RuntimeSettingsStore {
           authentication: effective.authentication,
           supportsImageInput: effective.supportsImageInput,
           contextWindowTokens: effective.contextWindowTokens,
+          maximumOutputTokens: effective.maximumOutputTokens,
           imageGenerationQuality: effective.imageGenerationQuality,
           apiKey: effective.apiKey
         }
@@ -1569,6 +1579,7 @@ export class RuntimeSettingsStore {
         authentication: profile.authentication,
         supportsImageInput: profile.supportsImageInput,
         contextWindowTokens: profile.contextWindowTokens,
+        maximumOutputTokens: profile.maximumOutputTokens,
         imageGenerationQuality: profile.imageGenerationQuality,
         apiKey: credential.activeApiKey
       }
@@ -1651,6 +1662,7 @@ export class RuntimeSettingsStore {
         authentication: resolved.authentication,
         supportsImageInput: resolved.supportsImageInput,
         contextWindowTokens: resolved.contextWindowTokens,
+        maximumOutputTokens: resolved.maximumOutputTokens,
         imageGenerationQuality:
           resolved.imageGenerationQuality ??
           defaultRuntimeSettings.imageGenerationQuality,
@@ -1672,6 +1684,7 @@ export class RuntimeSettingsStore {
         authentication: profile.authentication,
         supportsImageInput: profile.supportsImageInput,
         contextWindowTokens: profile.contextWindowTokens,
+        maximumOutputTokens: profile.maximumOutputTokens,
         imageGenerationQuality:
           profile.imageGenerationQuality ??
           defaultRuntimeSettings.imageGenerationQuality,
@@ -1966,6 +1979,7 @@ export class RuntimeSettingsStore {
               authentication: input.modelAuthentication,
               supportsImageInput: profile.supportsImageInput,
               contextWindowTokens: profile.contextWindowTokens,
+              maximumOutputTokens: profile.maximumOutputTokens,
               imageGenerationQuality: input.imageGenerationQuality,
               apiKey: input.apiKey
             }
@@ -1978,6 +1992,7 @@ export class RuntimeSettingsStore {
               authentication: profile.authentication,
               supportsImageInput: profile.supportsImageInput,
               contextWindowTokens: profile.contextWindowTokens,
+              maximumOutputTokens: profile.maximumOutputTokens,
               imageGenerationQuality: profile.imageGenerationQuality,
               apiKey: { action: 'keep' as const }
             }
@@ -2029,6 +2044,7 @@ export class RuntimeSettingsStore {
           authentication: profile.authentication,
           supportsImageInput: profile.supportsImageInput ?? false,
           contextWindowTokens: profile.contextWindowTokens,
+          maximumOutputTokens: profile.maximumOutputTokens,
           imageGenerationQuality: profile.imageGenerationQuality
         }
         if (

src/renderer/src/SettingsPanel.test.tsx

@@ -1112,6 +1112,10 @@ describe('SettingsPanel runtime files', () => {
     expect(contextWindow).toHaveValue(null)
     expect(contextWindow).toHaveAttribute('min', '32')
     fireEvent.change(contextWindow, { target: { value: '256' } })
+    const maximumOutput = screen.getByLabelText('Anthropic 最大输出')
+    expect(maximumOutput).toHaveValue(32)
+    expect(maximumOutput).toHaveAttribute('min', '1')
+    fireEvent.change(maximumOutput, { target: { value: '48' } })
     fireEvent.click(screen.getByRole('button', { name: '保存设置' }))
 
     await waitFor(() =>
@@ -1120,7 +1124,8 @@ describe('SettingsPanel runtime files', () => {
           modelProfiles: expect.arrayContaining([
             expect.objectContaining({
               id: modelProfileId,
-              contextWindowTokens: 256_000
+              contextWindowTokens: 256_000,
+              maximumOutputTokens: 48_000
             })
           ])
         })

src/renderer/src/SettingsPanel.tsx

@@ -34,6 +34,7 @@ import type {
 } from '../../shared/contracts'
 import {
   defaultContextCompressionSettings,
+  defaultAnthropicMaximumOutputTokens,
   builtinEmbeddingConnectionId,
   defaultModelProfileId as builtInDefaultModelProfileId,
   defaultRuntimeSettings,
@@ -257,6 +258,9 @@ function toModelProfileDrafts(
   return settings.modelProfiles.map((profile) => ({
     ...profile,
     supportsImageInput: profile.supportsImageInput ?? false,
+    maximumOutputTokens:
+      profile.maximumOutputTokens ??
+      defaultAnthropicMaximumOutputTokens,
     apiKey: '',
     clearApiKey: false
   }))
@@ -1285,6 +1289,7 @@ export function SettingsPanel({
           authentication: profile.authentication,
           supportsImageInput: profile.supportsImageInput,
           contextWindowTokens: profile.contextWindowTokens,
+          maximumOutputTokens: profile.maximumOutputTokens,
           imageGenerationQuality: profile.imageGenerationQuality,
           apiKey: profile.clearApiKey
             ? ({ action: 'clear' } as const)
@@ -1670,6 +1675,7 @@ export function SettingsPanel({
         protocol: 'openai-chat-completions',
         authentication: defaultRuntimeSettings.modelAuthentication,
         supportsImageInput: defaultRuntimeSettings.supportsImageInput,
+        maximumOutputTokens: defaultAnthropicMaximumOutputTokens,
         imageGenerationQuality:
           defaultRuntimeSettings.imageGenerationQuality,
         apiKeyConfigured: false,
@@ -3136,6 +3142,34 @@ export function SettingsPanel({
                           {t('model.profile.contextWindowDescription')}
                         </small>
                       </label>
+                      {profile.protocol === 'anthropic-messages' && (
+                        <label className="field">
+                          <span>{t('model.profile.maximumOutput')}</span>
+                          <input
+                            aria-label={t('model.profile.maximumOutput')}
+                            inputMode="numeric"
+                            max={10_000}
+                            min={1}
+                            onChange={(event) => {
+                              const value = event.target.valueAsNumber
+                              updateModelProfile(profile.id, {
+                                maximumOutputTokens: Number.isFinite(value)
+                                  ? Math.round(value * 1_000)
+                                  : defaultAnthropicMaximumOutputTokens
+                              })
+                            }}
+                            placeholder="32"
+                            type="number"
+                            value={
+                              (profile.maximumOutputTokens ??
+                                defaultAnthropicMaximumOutputTokens) / 1_000
+                            }
+                          />
+                          <small>
+                            {t('model.profile.maximumOutputDescription')}
+                          </small>
+                        </label>
+                      )}
                     </>
                   )}
                   {profile.protocol ===

src/renderer/src/i18n/locales/en-US/settings.ts

@@ -721,6 +721,9 @@ export const settings = {
       contextWindow: 'Context window (optional)',
       contextWindowDescription:
         'Enter 32K–10000K tokens. Leave blank when unknown. This value is used only for GoodBuddy local budget calculations.',
+      maximumOutput: 'Anthropic maximum output',
+      maximumOutputDescription:
+        'The Anthropic Messages protocol requires this value on every request. Enter 1K–10000K tokens. It limits only one model response, not tool rounds or cumulative usage.',
       imageQuality: 'Image quality',
       imageQualityAriaLabel: 'Image quality for {{name}}',
       quality: {

src/renderer/src/i18n/locales/zh-CN/settings.ts

@@ -662,6 +662,9 @@ export const settings = {
       contextWindow: '上下文上限（可选）',
       contextWindowDescription:
         '以 K tokens 填写，范围为 32K–10000K。留空表示未知；此值仅用于 GoodBuddy 本地预算计算。',
+      maximumOutput: 'Anthropic 最大输出',
+      maximumOutputDescription:
+        'Anthropic Messages 协议要求每次请求提供该值。填写 1K–10000K tokens；它只限制单次模型响应，不限制工具调用轮次或累计用量。',
       imageQuality: '图片质量',
       imageQualityAriaLabel: '图片质量 {{name}}',
       quality: {

src/shared/contracts.ts

@@ -568,6 +568,9 @@ export {
   minimumModelContextWindowTokens
 } from './context-window'
 
+export const defaultAnthropicMaximumOutputTokens = 32_000
+export const maximumModelOutputTokens = 10_000_000
+
 const modelProfileInputSchema = z
   .object({
     id: modelProfileIdSchema,
@@ -588,6 +591,12 @@ const modelProfileInputSchema = z
       .min(minimumModelContextWindowTokens)
       .max(maximumModelContextWindowTokens)
       .optional(),
+    maximumOutputTokens: z
+      .number()
+      .int()
+      .min(1)
+      .max(maximumModelOutputTokens)
+      .optional(),
     imageGenerationQuality: imageGenerationQualitySchema,
     apiKey: modelApiKeyUpdateSchema
   })
@@ -968,6 +977,7 @@ export type ModelConnectionSettings = {
   authentication: ModelAuthentication
   supportsImageInput?: boolean
   contextWindowTokens?: number
+  maximumOutputTokens?: number
   imageGenerationQuality: ImageGenerationQuality
   apiKeyConfigured: boolean
   credentialSource: 'none' | 'encrypted' | 'environment' | 'unreadable'