fix: 修复 sideQuery/模型选择在 CoStrict 和 OpenAI provider 下的问题

- sideQuery：新增 openai/costrict provider 分支，分别走各自的 base_url
  而非 Anthropic API；提取 sideQueryOpenAICompat 共用转换逻辑；
  CoStrict 分支统一使用主循环模型（getMainLoopModel）
- ConsoleOAuthFlow：CoStrict 登录选模型后同步写入 settings.json
- /model 命令：CoStrict provider 下模型切换持久化到 settings.json；
  支持 costrict-login 触发登录并重载模型列表；未登录时提示先 /login
- modelOptions：CoStrict provider 展示服务器动态模型列表；
  仅对 Anthropic 兼容 provider 注入自定义模型到选项列表
- configs：补充 CoStrict 的 claude-opus-4-7 模型配置
- cli：默认禁用非必要 Anthropic 流量（CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1）

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

src/commands/model/model.tsx

@@ -29,6 +29,21 @@ import {
 } from '../../utils/model/model.js'
 import { isModelAllowed } from '../../utils/model/modelAllowlist.js'
 import { validateModel } from '../../utils/model/validateModel.js'
+import { isNotLoggedIn } from '../../utils/logoV2Utils.js'
+import {
+  buildCoStrictLoginURL,
+  generateState,
+  getCoStrictBaseURL,
+  pollLoginToken,
+} from '../../costrict/provider/auth.js'
+import {
+  generateMachineId,
+  saveCoStrictCredentials,
+} from '../../costrict/provider/credentials.js'
+import { extractExpiryFromJWT } from '../../costrict/provider/token.js'
+import { updateSettingsForSource } from '../../utils/settings/settings.js'
+import { openBrowser } from '../../utils/browser.js'
+import { getAPIProvider } from '../../utils/model/providers.js'
 
 function ModelPickerWrapper({
   onDone,
@@ -42,6 +57,7 @@ function ModelPickerWrapper({
   const mainLoopModelForSession = useAppState(s => s.mainLoopModelForSession)
   const isFastMode = useAppState(s => s.fastMode)
   const setAppState = useSetAppState()
+  const [pickerKey, setPickerKey] = React.useState(0)
 
   function handleCancel(): void {
     logEvent('tengu_model_command_menu', {
@@ -58,6 +74,57 @@ function ModelPickerWrapper({
     model: string | null,
     effort: EffortLevel | undefined,
   ): void {
+    // CoStrict 登录流程
+    if (model === 'costrict-login') {
+      void (async () => {
+        try {
+          const baseUrl = getCoStrictBaseURL()
+          const state = generateState()
+          const machineId = generateMachineId()
+          const loginUrl = buildCoStrictLoginURL(baseUrl, state, machineId)
+
+          // 打开浏览器（不调用 onDone，保持 picker 显示）
+          await openBrowser(loginUrl)
+
+          // 轮询等待登录完成
+          const tokens = await pollLoginToken(baseUrl, state, machineId)
+
+          // 保存凭证
+          const expiryDate = extractExpiryFromJWT(tokens.access_token)
+          await saveCoStrictCredentials({
+            id: 'csc',
+            name: 'CSC Auth',
+            access_token: tokens.access_token,
+            refresh_token: tokens.refresh_token,
+            state,
+            machine_id: machineId,
+            base_url: baseUrl,
+            expiry_date: expiryDate,
+            updated_at: new Date().toISOString(),
+            expired_at: expiryDate ? new Date(expiryDate).toISOString() : undefined,
+          })
+
+          // 设置 modelType 为 costrict
+          updateSettingsForSource('userSettings', { modelType: 'costrict' as any } as any)
+          process.env.CLAUDE_CODE_USE_COSTRICT = '1'
+
+          // 预取并缓存模型列表
+          try {
+            const { fetchCoStrictModels } = await import('../../costrict/provider/models.js')
+            await fetchCoStrictModels(baseUrl, tokens.access_token)
+          } catch {
+            // 预取失败，picker 重载后会显示默认模型列表
+          }
+
+          // 登录成功后重载 ModelPicker，显示 CoStrict 模型选择界面
+          setPickerKey(k => k + 1)
+        } catch (err: any) {
+          onDone(`Login failed: ${err.message || String(err)}`, { display: 'system' })
+        }
+      })()
+      return
+    }
+
     logEvent('tengu_model_command_menu', {
       action:
         model as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
@@ -72,6 +139,11 @@ function ModelPickerWrapper({
       mainLoopModelForSession: null,
     }))
 
+    // CoStrict provider 下持久化模型选择到 settings.json
+    if (getAPIProvider() === 'costrict') {
+      updateSettingsForSource('userSettings', { model: model ?? undefined } as any)
+    }
+
     let message = `Set model to ${chalk.bold(renderModelLabel(model))}`
     if (effort !== undefined) {
       message += ` with ${chalk.bold(effort)} effort`
@@ -118,6 +190,7 @@ function ModelPickerWrapper({
 
   return (
     <ModelPicker
+      key={pickerKey}
       initial={mainLoopModel}
       sessionModel={mainLoopModelForSession}
       onSelect={handleSelect}
@@ -326,6 +399,14 @@ export const call: LocalJSXCommandCall = async (onDone, _context, args) => {
     return <SetModelAndClose args={args} onDone={onDone} />
   }
 
+  // Check if user is logged in before showing model picker
+  if (isNotLoggedIn()) {
+    onDone('You need to login first. Use /login to authenticate.', {
+      display: 'system',
+    })
+    return
+  }
+
   return <ModelPickerWrapper onDone={onDone} />
 }
 

src/components/ConsoleOAuthFlow.tsx

@@ -1368,6 +1368,7 @@ function OAuthStatusMessage({
               options={costrictOptions}
               onChange={(value: string) => {
                 process.env.COSTRICT_MODEL = value;
+                updateSettingsForSource('userSettings', { model: value } as any)
                 setAppState(prev => ({ ...prev, mainLoopModel: value, mainLoopModelForSession: null }));
                 setOAuthStatus({ state: 'success' });
                 void onDone();
@@ -1375,6 +1376,7 @@ function OAuthStatusMessage({
               onCancel={() => {
                 const selected = sortedModels[0]?.id ?? '';
                 process.env.COSTRICT_MODEL = selected;
+                updateSettingsForSource('userSettings', { model: selected } as any)
                 setAppState(prev => ({ ...prev, mainLoopModel: selected, mainLoopModelForSession: null }));
                 setOAuthStatus({ state: 'success' });
                 void onDone();

src/entrypoints/cli.tsx

@@ -16,6 +16,12 @@ if (typeof globalThis.MACRO === 'undefined') {
   }
 }
 
+// Default to disabling nonessential traffic to api.anthropic.com
+// (telemetry, GrowthBook, metrics, MCP registry, etc.)
+// Users can opt back in by setting CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=0
+// eslint-disable-next-line custom-rules/no-top-level-side-effects, custom-rules/no-process-env-top-level
+process.env.CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC ??= '1'
+
 if (isEnvTruthy(process.env.CLAUDE_CODE_FORCE_INTERACTIVE)) {
   for (const stream of [process.stdin, process.stdout, process.stderr]) {
     if (!stream.isTTY) {

src/utils/model/configs.ts

@@ -123,6 +123,7 @@ export const CLAUDE_OPUS_4_7_CONFIG = {
   foundry: 'claude-opus-4-7',
   openai: 'claude-opus-4-7',
   gemini: 'claude-opus-4-7',
+  costrict: 'claude-opus-4-7',
   grok: 'claude-opus-4-7',
 } as const satisfies ModelConfig
 

src/utils/model/modelOptions.ts

@@ -1,5 +1,6 @@
 // biome-ignore-all assist/source/organizeImports: ANT-ONLY import markers must not be reordered
 import { getInitialMainLoopModel } from '../../bootstrap/state.js'
+import { getCachedCoStrictModels } from '../../costrict/provider/models.js'
 import {
   isClaudeAISubscriber,
   isMaxSubscriber,
@@ -402,6 +403,23 @@ function getModelOptionsBase(fastMode = false): ModelOption[] {
     return standardOptions
   }
 
+  // CoStrict provider: 用从服务器拉回的模型列表并按 id 排序，缓存为空时返回空列表
+  if (getAPIProvider() === 'costrict') {
+    const costrictModels = getCachedCoStrictModels()
+    const sorted = [...costrictModels].sort((a, b) => a.id.localeCompare(b.id))
+    return sorted.map(m => {
+      const description =
+        m.id === 'Auto'
+          ? `${Math.round((m.creditDiscount ?? 0) * 100)}% discount`
+          : `${m.creditConsumption ?? '?'}x credit`
+      return {
+        value: m.id,
+        label: m.id,
+        description,
+      }
+    })
+  }
+
   // PAYG 1P API: Default (Sonnet) + Opus 4.7 1M + Opus 4.6 1M + Sonnet 1M + Haiku
   if (getAPIProvider() === 'firstParty') {
     const payg1POptions = [getDefaultOptionForUser(fastMode)]
@@ -562,43 +580,56 @@ export function getModelOptions(fastMode = false): ModelOption[] {
 
   // Add custom model from either the current model value or the initial one
   // if it is not already in the options.
-  let customModel: ModelSetting = null
-  const currentMainLoopModel = getUserSpecifiedModelSetting()
-  const initialMainLoopModel = getInitialMainLoopModel()
-  if (currentMainLoopModel !== undefined && currentMainLoopModel !== null) {
-    customModel = currentMainLoopModel
-  } else if (initialMainLoopModel !== null) {
-    customModel = initialMainLoopModel
-  }
-  if (customModel === null || options.some(opt => opt.value === customModel)) {
-    return filterModelOptionsByAllowlist(options)
-  } else if (customModel === 'opusplan') {
-    return filterModelOptionsByAllowlist([...options, getOpusPlanOption()])
-  } else if (customModel === 'opus' && getAPIProvider() === 'firstParty') {
-    return filterModelOptionsByAllowlist([
-      ...options,
-      getMaxOpusOption(fastMode),
-    ])
-  } else if (customModel === 'opus[1m]' && getAPIProvider() === 'firstParty') {
-    return filterModelOptionsByAllowlist([
-      ...options,
-      getMergedOpus1MOption(fastMode),
-    ])
-  } else {
-    // Try to show a human-readable label for known Anthropic models, with an
-    // upgrade hint if the alias now resolves to a newer version.
-    const knownOption = getKnownModelOption(customModel)
-    if (knownOption) {
-      options.push(knownOption)
-    } else {
-      options.push({
-        value: customModel,
-        label: customModel,
-        description: 'Custom model',
-      })
+  // Only applies to Anthropic-compatible providers (firstParty/bedrock/vertex/foundry).
+  // For CoStrict/OpenAI/Gemini/Grok, the model list comes from additionalModelOptionsCache
+  // or getModelOptionsBase(), so we must not inject ANTHROPIC_MODEL / settings.model here.
+  const currentProvider = getAPIProvider()
+  const isAnthropicCompatible =
+    currentProvider === 'firstParty' ||
+    currentProvider === 'bedrock' ||
+    currentProvider === 'vertex' ||
+    currentProvider === 'foundry'
+
+  if (isAnthropicCompatible) {
+    let customModel: ModelSetting = null
+    const currentMainLoopModel = getUserSpecifiedModelSetting()
+    const initialMainLoopModel = getInitialMainLoopModel()
+    if (currentMainLoopModel !== undefined && currentMainLoopModel !== null) {
+      customModel = currentMainLoopModel
+    } else if (initialMainLoopModel !== null) {
+      customModel = initialMainLoopModel
+    }
+    if (customModel !== null && !options.some(opt => opt.value === customModel)) {
+      if (customModel === 'opusplan') {
+        return filterModelOptionsByAllowlist([...options, getOpusPlanOption()])
+      } else if (customModel === 'opus') {
+        return filterModelOptionsByAllowlist([
+          ...options,
+          getMaxOpusOption(fastMode),
+        ])
+      } else if (customModel === 'opus[1m]') {
+        return filterModelOptionsByAllowlist([
+          ...options,
+          getMergedOpus1MOption(fastMode),
+        ])
+      } else {
+        // Try to show a human-readable label for known Anthropic models, with an
+        // upgrade hint if the alias now resolves to a newer version.
+        const knownOption = getKnownModelOption(customModel)
+        if (knownOption) {
+          options.push(knownOption)
+        } else {
+          options.push({
+            value: customModel,
+            label: customModel,
+            description: 'Custom model',
+          })
+        }
+      }
     }
-    return filterModelOptionsByAllowlist(options)
   }
+
+  return filterModelOptionsByAllowlist(options)
 }
 
 /**

src/utils/sideQuery.ts

@@ -24,6 +24,16 @@ import { errorMessage } from './errors.js'
 import { computeFingerprint } from './fingerprint.js'
 import { getAPIProvider } from './model/providers.js'
 import { normalizeModelStringForAPI } from './model/model.js'
+import { sideQueryOpenAICompat } from './sideQueryOpenAICompat.js'
+import { getOpenAIClient } from '../services/api/openai/client.js'
+import { resolveOpenAIModel } from '@ant/model-provider'
+import { createCoStrictFetch } from '../costrict/provider/fetch.js'
+import { resolveCoStrictModel } from '../costrict/provider/modelMapping.js'
+import { getCoStrictBaseURL } from '../costrict/provider/auth.js'
+import { loadCoStrictCredentials } from '../costrict/provider/credentials.js'
+import { getProxyFetchOptions } from './proxy.js'
+import { getMainLoopModel } from './model/model.js'
+import OpenAI from 'openai'
 
 type MessageParam = Anthropic.MessageParam
 type TextBlockParam = Anthropic.TextBlockParam
@@ -117,6 +127,28 @@ function extractFirstUserMessageText(messages: MessageParam[]): string {
  * await sideQuery({ querySource: 'model_validation', model, max_tokens: 1, messages: [{ role: 'user', content: 'Hi' }] })
  */
 export async function sideQuery(opts: SideQueryOptions): Promise<BetaMessage> {
+  const provider = getAPIProvider()
+
+  if (provider === 'openai') {
+    const client = getOpenAIClient({ maxRetries: opts.maxRetries ?? 2 })
+    return sideQueryOpenAICompat(opts, client, resolveOpenAIModel(opts.model), 'OpenAI')
+  }
+
+  if (provider === 'costrict') {
+    const creds = await loadCoStrictCredentials()
+    const baseUrl = getCoStrictBaseURL(creds?.base_url)
+    const client = new OpenAI({
+      apiKey: 'costrict-managed',
+      baseURL: `${baseUrl}/chat-rag/api/v1`,
+      maxRetries: 0,
+      timeout: parseInt(process.env.API_TIMEOUT_MS || String(600 * 1000), 10),
+      dangerouslyAllowBrowser: true,
+      fetchOptions: getProxyFetchOptions({ forAnthropicAPI: false }) as Record<string, unknown>,
+      fetch: createCoStrictFetch() as unknown as typeof fetch,
+    })
+    return sideQueryOpenAICompat(opts, client, resolveCoStrictModel(getMainLoopModel()), 'CoStrict')
+  }
+
   const {
     model,
     system,
@@ -189,7 +221,6 @@ export async function sideQuery(opts: SideQueryOptions): Promise<BetaMessage> {
   }
 
   const normalizedModel = normalizeModelStringForAPI(model)
-  const provider = getAPIProvider()
   const start = Date.now()
   const traceName = `side-query:${opts.querySource}`
 

src/utils/sideQueryOpenAICompat.ts

@@ -0,0 +1,132 @@
+/**
+ * OpenAI-compatible sideQuery for providers that use the Chat Completions API
+ * (openai, grok, costrict). Callers pass a pre-configured OpenAI client and a
+ * resolved model name; the rest of the conversion is shared.
+ */
+
+import type OpenAI from 'openai'
+import type { BetaMessage } from '@anthropic-ai/sdk/resources/beta/messages.js'
+import type { SideQueryOptions } from './sideQuery.js'
+import { logEvent } from '../services/analytics/index.js'
+import type { AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS } from '../services/analytics/metadata.js'
+import {
+  getLastApiCompletionTimestamp,
+  setLastApiCompletionTimestamp,
+} from '../bootstrap/state.js'
+import { logForDebugging } from './debug.js'
+
+function buildMessages(
+  system: SideQueryOptions['system'],
+  messages: SideQueryOptions['messages'],
+): OpenAI.Chat.Completions.ChatCompletionMessageParam[] {
+  const result: OpenAI.Chat.Completions.ChatCompletionMessageParam[] = []
+
+  if (system) {
+    const systemText = Array.isArray(system)
+      ? system.map(b => b.text).join('\n\n')
+      : system
+    if (systemText.trim()) {
+      result.push({ role: 'system', content: systemText })
+    }
+  }
+
+  for (const msg of messages) {
+    if (typeof msg.content === 'string') {
+      result.push({ role: msg.role as 'user' | 'assistant', content: msg.content })
+    } else {
+      const text = msg.content
+        .filter((b): b is { type: 'text'; text: string } => b.type === 'text')
+        .map(b => b.text)
+        .join('\n')
+      result.push({ role: msg.role as 'user' | 'assistant', content: text })
+    }
+  }
+
+  return result
+}
+
+const STOP_REASON_MAP: Record<string, BetaMessage['stop_reason']> = {
+  stop: 'end_turn',
+  length: 'max_tokens',
+  tool_calls: 'tool_use',
+  content_filter: 'end_turn',
+}
+
+export async function sideQueryOpenAICompat(
+  opts: SideQueryOptions,
+  client: OpenAI,
+  resolvedModel: string,
+  providerTag: string,
+): Promise<BetaMessage> {
+  const { system, messages, max_tokens = 1024, signal, temperature, stop_sequences, querySource } = opts
+
+  logForDebugging(`[${providerTag} sideQuery] querySource=${querySource}, model=${resolvedModel}`)
+
+  const start = Date.now()
+
+  const response = await client.chat.completions.create(
+    {
+      model: resolvedModel,
+      messages: buildMessages(system, messages),
+      max_tokens,
+      stream: false,
+      ...(temperature !== undefined && { temperature }),
+      ...(stop_sequences && { stop: stop_sequences }),
+    },
+    { signal },
+  )
+
+  const now = Date.now()
+  const lastCompletion = getLastApiCompletionTimestamp()
+  const inputTokens = response.usage?.prompt_tokens ?? 0
+  const outputTokens = response.usage?.completion_tokens ?? 0
+
+  logEvent('tengu_api_success', {
+    requestId: (response.id ?? '') as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
+    querySource: querySource as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
+    model: resolvedModel as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
+    inputTokens,
+    outputTokens,
+    cachedInputTokens: 0,
+    uncachedInputTokens: 0,
+    durationMsIncludingRetries: now - start,
+    timeSinceLastApiCallMs: lastCompletion !== null ? now - lastCompletion : undefined,
+  })
+  setLastApiCompletionTimestamp(now)
+
+  const choice = response.choices[0]
+  const content: BetaMessage['content'] = []
+
+  if (choice?.message?.content) {
+    content.push({ type: 'text', text: choice.message.content })
+  }
+
+  if (choice?.message?.tool_calls) {
+    for (const tc of choice.message.tool_calls) {
+      let input: Record<string, unknown> = {}
+      try {
+        input = JSON.parse(tc.function.arguments) as Record<string, unknown>
+      } catch {
+        // leave input empty on parse failure
+      }
+      content.push({ type: 'tool_use', id: tc.id, name: tc.function.name, input })
+    }
+  }
+
+  return {
+    id: response.id,
+    type: 'message',
+    role: 'assistant',
+    content,
+    model: resolvedModel,
+    stop_reason: STOP_REASON_MAP[choice?.finish_reason ?? 'stop'] ?? 'end_turn',
+    stop_sequence: null,
+    usage: {
+      input_tokens: inputTokens,
+      output_tokens: outputTokens,
+      cache_creation_input_tokens: null,
+      cache_read_input_tokens: null,
+      server_tool_use: null,
+    },
+  } as unknown as BetaMessage
+}