feat(cursor): harden daemon integration and model discovery

docs/cursor-integration.md

@@ -59,6 +59,7 @@ ccs cursor stop
 - Default port: `20129`
 - `ghost_mode`: enabled
 - `auto_start`: disabled
+- Model list resolution: authenticated live fetch when available, with cached/default fallback.
 
 These values are managed in unified config and can be updated from CLI or dashboard.
 

src/cursor/cursor-client-policy.ts

@@ -0,0 +1,124 @@
+/**
+ * Cursor Client Policy
+ *
+ * Single source of truth for Cursor request identity headers and checksum generation.
+ */
+
+import * as crypto from 'crypto';
+import type { CursorCredentials } from './cursor-protobuf-schema';
+
+export const CURSOR_CLIENT_VERSION = '2.3.41';
+export const CURSOR_USER_AGENT = 'connect-es/1.6.1';
+
+function getClientOs(): string {
+  if (process.platform === 'win32') return 'windows';
+  if (process.platform === 'darwin') return 'macos';
+  return 'linux';
+}
+
+function getClientArch(): string {
+  return process.arch === 'arm64' ? 'aarch64' : 'x64';
+}
+
+export function normalizeCursorAccessToken(accessToken: string): string {
+  const delimIdx = accessToken.indexOf('::');
+  return delimIdx !== -1 ? accessToken.slice(delimIdx + 2) : accessToken;
+}
+
+/**
+ * Generate checksum using Jyh cipher (time-based XOR with rolling key seed=165)
+ */
+export function generateCursorChecksum(machineId: string, nowMs: number = Date.now()): string {
+  if (!machineId) {
+    throw new Error('Machine ID is required for Cursor API');
+  }
+
+  const timestamp = Math.floor(nowMs / 1000000);
+  // JS bitwise shifts wrap modulo 32, so >>40 and >>32 give wrong results.
+  // Use Math.trunc division for upper bytes that exceed 32-bit range.
+  const byteArray = new Uint8Array([
+    Math.trunc(timestamp / 2 ** 40) & 0xff,
+    Math.trunc(timestamp / 2 ** 32) & 0xff,
+    (timestamp >>> 24) & 0xff,
+    (timestamp >>> 16) & 0xff,
+    (timestamp >>> 8) & 0xff,
+    timestamp & 0xff,
+  ]);
+
+  let t = 165;
+  for (let i = 0; i < byteArray.length; i++) {
+    byteArray[i] = ((byteArray[i] ^ t) + (i % 256)) & 0xff;
+    t = byteArray[i];
+  }
+
+  const alphabet = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_';
+  let encoded = '';
+
+  for (let i = 0; i < byteArray.length; i += 3) {
+    const a = byteArray[i];
+    const b = i + 1 < byteArray.length ? byteArray[i + 1] : 0;
+    const c = i + 2 < byteArray.length ? byteArray[i + 2] : 0;
+
+    encoded += alphabet[a >> 2];
+    encoded += alphabet[((a & 3) << 4) | (b >> 4)];
+
+    if (i + 1 < byteArray.length) {
+      encoded += alphabet[((b & 15) << 2) | (c >> 6)];
+    }
+    if (i + 2 < byteArray.length) {
+      encoded += alphabet[c & 63];
+    }
+  }
+
+  return `${encoded}${machineId}`;
+}
+
+function buildCursorBaseHeaders(credentials: CursorCredentials): Record<string, string> {
+  const cleanToken = normalizeCursorAccessToken(credentials.accessToken);
+
+  if (!cleanToken) {
+    throw new Error('Access token is empty after parsing');
+  }
+
+  if (!credentials.machineId) {
+    throw new Error('Machine ID is required for Cursor API');
+  }
+
+  const ghostMode = credentials.ghostMode !== false;
+  const tokenHash = crypto.createHash('sha256').update(cleanToken).digest('hex');
+
+  return {
+    authorization: `Bearer ${cleanToken}`,
+    'x-amzn-trace-id': `Root=${crypto.randomUUID()}`,
+    'x-client-key': tokenHash,
+    'x-cursor-checksum': generateCursorChecksum(credentials.machineId),
+    'x-cursor-client-version': CURSOR_CLIENT_VERSION,
+    'x-cursor-client-type': 'ide',
+    'x-cursor-client-os': getClientOs(),
+    'x-cursor-client-arch': getClientArch(),
+    'x-cursor-client-device-type': 'desktop',
+    'x-cursor-config-version': crypto.randomUUID(),
+    'x-cursor-timezone': Intl.DateTimeFormat().resolvedOptions().timeZone || 'UTC',
+    'x-ghost-mode': ghostMode ? 'true' : 'false',
+    'x-request-id': crypto.randomUUID(),
+    'x-session-id': tokenHash.substring(0, 36),
+  };
+}
+
+export function buildCursorConnectHeaders(credentials: CursorCredentials): Record<string, string> {
+  return {
+    ...buildCursorBaseHeaders(credentials),
+    'connect-accept-encoding': 'gzip',
+    'connect-protocol-version': '1',
+    'content-type': 'application/connect+proto',
+    'user-agent': CURSOR_USER_AGENT,
+  };
+}
+
+export function buildCursorModelsHeaders(credentials: CursorCredentials): Record<string, string> {
+  return {
+    ...buildCursorBaseHeaders(credentials),
+    accept: 'application/json',
+    'user-agent': CURSOR_USER_AGENT,
+  };
+}

src/cursor/cursor-daemon-entry.ts

@@ -8,7 +8,7 @@ import * as http from 'http';
 import { Readable } from 'stream';
 import { CursorExecutor } from './cursor-executor';
 import { checkAuthStatus } from './cursor-auth';
-import { DEFAULT_CURSOR_MODEL, DEFAULT_CURSOR_MODELS } from './cursor-models';
+import { DEFAULT_CURSOR_MODEL, getModelsForDaemon } from './cursor-models';
 import type { CursorTool } from './cursor-protobuf-schema';
 
 interface DaemonRuntimeOptions {
@@ -184,7 +184,19 @@ export function startCursorDaemonServer(options: DaemonRuntimeOptions): http.Ser
       }
 
       if (method === 'GET' && requestUrl === '/v1/models') {
-        const data = DEFAULT_CURSOR_MODELS.map((model) => ({
+        const authStatus = checkAuthStatus();
+        const models = await getModelsForDaemon({
+          credentials:
+            authStatus.authenticated && !authStatus.expired && authStatus.credentials
+              ? {
+                  accessToken: authStatus.credentials.accessToken,
+                  machineId: authStatus.credentials.machineId,
+                  ghostMode: options.ghostMode,
+                }
+              : null,
+        });
+
+        const data = models.map((model) => ({
           id: model.id,
           object: 'model',
           created: 0,

src/cursor/cursor-default-models.ts

@@ -0,0 +1,173 @@
+/**
+ * Cursor Default Model Catalog
+ */
+
+import type { CursorModel } from './types';
+
+/** Default model ID */
+export const DEFAULT_CURSOR_MODEL = 'gpt-5.3-codex';
+
+/**
+ * Default models available through Cursor IDE.
+ * Used as fallback when daemon is not reachable.
+ * Source: Cursor docs model catalog (Feb 2026)
+ */
+export const DEFAULT_CURSOR_MODELS: CursorModel[] = [
+  // Anthropic Models
+  {
+    id: 'claude-4.6-opus',
+    name: 'Claude 4.6 Opus',
+    provider: 'anthropic',
+  },
+  {
+    id: 'claude-4.6-opus-fast-mode',
+    name: 'Claude 4.6 Opus (Fast mode)',
+    provider: 'anthropic',
+  },
+  {
+    id: 'claude-4.5-sonnet',
+    name: 'Claude 4.5 Sonnet',
+    provider: 'anthropic',
+  },
+  {
+    id: 'claude-4.5-opus',
+    name: 'Claude 4.5 Opus',
+    provider: 'anthropic',
+  },
+  {
+    id: 'claude-4.5-haiku',
+    name: 'Claude 4.5 Haiku',
+    provider: 'anthropic',
+  },
+  {
+    id: 'claude-4-sonnet',
+    name: 'Claude 4 Sonnet',
+    provider: 'anthropic',
+  },
+  {
+    id: 'claude-4-sonnet-1m',
+    name: 'Claude 4 Sonnet 1M',
+    provider: 'anthropic',
+  },
+
+  // Cursor Models
+  {
+    id: 'composer-1.5',
+    name: 'Composer 1.5',
+    provider: 'cursor',
+  },
+  {
+    id: 'composer-1',
+    name: 'Composer 1',
+    provider: 'cursor',
+  },
+
+  // OpenAI Models
+  {
+    id: 'gpt-5.3-codex',
+    name: 'GPT-5.3 Codex',
+    provider: 'openai',
+    isDefault: true,
+  },
+  {
+    id: 'gpt-5.2-codex',
+    name: 'GPT-5.2 Codex',
+    provider: 'openai',
+  },
+  {
+    id: 'gpt-5.2',
+    name: 'GPT-5.2',
+    provider: 'openai',
+  },
+  {
+    id: 'gpt-5.1-codex',
+    name: 'GPT-5.1 Codex',
+    provider: 'openai',
+  },
+  {
+    id: 'gpt-5.1-codex-max',
+    name: 'GPT-5.1 Codex Max',
+    provider: 'openai',
+  },
+  {
+    id: 'gpt-5.1-codex-mini',
+    name: 'GPT-5.1 Codex Mini',
+    provider: 'openai',
+  },
+  {
+    id: 'gpt-5-codex',
+    name: 'GPT-5-Codex',
+    provider: 'openai',
+  },
+  {
+    id: 'gpt-5',
+    name: 'GPT-5',
+    provider: 'openai',
+  },
+  {
+    id: 'gpt-5-fast',
+    name: 'GPT-5 Fast',
+    provider: 'openai',
+  },
+  {
+    id: 'gpt-5-mini',
+    name: 'GPT-5 Mini',
+    provider: 'openai',
+  },
+
+  // Google Models
+  {
+    id: 'gemini-3-pro',
+    name: 'Gemini 3 Pro',
+    provider: 'google',
+  },
+  {
+    id: 'gemini-3-pro-image-preview',
+    name: 'Gemini 3 Pro Image Preview',
+    provider: 'google',
+  },
+  {
+    id: 'gemini-3-flash',
+    name: 'Gemini 3 Flash',
+    provider: 'google',
+  },
+  {
+    id: 'gemini-2.5-flash',
+    name: 'Gemini 2.5 Flash',
+    provider: 'google',
+  },
+
+  // xAI Models
+  {
+    id: 'grok-code',
+    name: 'Grok Code',
+    provider: 'xai',
+  },
+];
+
+/**
+ * Detect provider from model ID.
+ */
+export function detectProvider(modelId: string): string {
+  if (modelId.includes('claude')) return 'anthropic';
+  if (modelId.includes('gpt') || /^o[1-9]\d*(-|$)/.test(modelId)) return 'openai';
+  if (modelId.includes('gemini')) return 'google';
+  if (modelId.includes('cursor') || modelId.includes('composer')) return 'cursor';
+  if (modelId.includes('grok')) return 'xai';
+  return 'unknown';
+}
+
+/**
+ * Format model ID to human-readable name.
+ */
+export function formatModelName(modelId: string): string {
+  const model = DEFAULT_CURSOR_MODELS.find((m) => m.id === modelId);
+  if (model) {
+    return model.name;
+  }
+
+  return modelId
+    .split('-')
+    .map((word) => word.charAt(0).toUpperCase() + word.slice(1))
+    .join(' ');
+}

src/cursor/cursor-executor.ts

@@ -3,11 +3,11 @@
  * Handles HTTP/2 requests to Cursor API with protobuf encoding/decoding
  */
 
-import * as crypto from 'crypto';
 import type { IncomingHttpHeaders } from 'http';
 import { generateCursorBody, extractTextFromResponse } from './cursor-protobuf.js';
 import { buildCursorRequest } from './cursor-translator.js';
 import type { CursorTool, CursorCredentials } from './cursor-protobuf-schema.js';
+import { buildCursorConnectHeaders, generateCursorChecksum } from './cursor-client-policy.js';
 
 import { StreamingFrameParser, decompressPayload } from './cursor-stream-parser.js';
 
@@ -92,8 +92,6 @@ function createErrorResponse(jsonError: {
 export class CursorExecutor {
   private readonly baseUrl = 'https://api2.cursor.sh';
   private readonly chatPath = '/aiserver.v1.AiService/StreamChat';
-  private readonly CURSOR_CLIENT_VERSION = '2.3.41';
-  private readonly CURSOR_USER_AGENT = 'connect-es/1.6.1';
 
   buildUrl(): string {
     return `${this.baseUrl}${this.chatPath}`;
@@ -103,87 +101,11 @@ export class CursorExecutor {
    * Generate checksum using Jyh cipher (time-based XOR with rolling key seed=165)
    */
   generateChecksum(machineId: string): string {
-    const timestamp = Math.floor(Date.now() / 1000000);
+    return generateCursorChecksum(machineId);
-    // JS bitwise shifts wrap modulo 32, so >>40 and >>32 give wrong results.
-    // Use Math.trunc division for upper bytes that exceed 32-bit range.
-    const byteArray = new Uint8Array([
-      Math.trunc(timestamp / 2 ** 40) & 0xff,
-      Math.trunc(timestamp / 2 ** 32) & 0xff,
-      (timestamp >>> 24) & 0xff,
-      (timestamp >>> 16) & 0xff,
-      (timestamp >>> 8) & 0xff,
-      timestamp & 0xff,
-    ]);
-
-    let t = 165;
-    for (let i = 0; i < byteArray.length; i++) {
-      byteArray[i] = ((byteArray[i] ^ t) + (i % 256)) & 0xff;
-      t = byteArray[i];
-    }
-
-    const alphabet = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_';
-    let encoded = '';
-
-    for (let i = 0; i < byteArray.length; i += 3) {
-      const a = byteArray[i];
-      const b = i + 1 < byteArray.length ? byteArray[i + 1] : 0;
-      const c = i + 2 < byteArray.length ? byteArray[i + 2] : 0;
-
-      encoded += alphabet[a >> 2];
-      encoded += alphabet[((a & 3) << 4) | (b >> 4)];
-
-      if (i + 1 < byteArray.length) {
-        encoded += alphabet[((b & 15) << 2) | (c >> 6)];
-      }
-      if (i + 2 < byteArray.length) {
-        encoded += alphabet[c & 63];
-      }
-    }
-
-    return `${encoded}${machineId}`;
   }
 
   buildHeaders(credentials: CursorCredentials): Record<string, string> {
-    const accessToken = credentials.accessToken;
+    return buildCursorConnectHeaders(credentials);
-    const machineId = credentials.machineId;
-    const ghostMode = credentials.ghostMode !== false;
-
-    if (!machineId) {
-      throw new Error('Machine ID is required for Cursor API');
-    }
-
-    const delimIdx = accessToken.indexOf('::');
-    const cleanToken = delimIdx !== -1 ? accessToken.slice(delimIdx + 2) : accessToken;
-
-    if (!cleanToken) {
-      throw new Error('Access token is empty after parsing');
-    }
-
-    return {
-      authorization: `Bearer ${cleanToken}`,
-      'connect-accept-encoding': 'gzip',
-      'connect-protocol-version': '1',
-      'content-type': 'application/connect+proto',
-      'user-agent': this.CURSOR_USER_AGENT,
-      'x-amzn-trace-id': `Root=${crypto.randomUUID()}`,
-      'x-client-key': crypto.createHash('sha256').update(cleanToken).digest('hex'),
-      'x-cursor-checksum': this.generateChecksum(machineId),
-      'x-cursor-client-version': this.CURSOR_CLIENT_VERSION,
-      'x-cursor-client-type': 'ide',
-      'x-cursor-client-os':
-        process.platform === 'win32'
-          ? 'windows'
-          : process.platform === 'darwin'
-            ? 'macos'
-            : 'linux',
-      'x-cursor-client-arch': process.arch === 'arm64' ? 'aarch64' : 'x64',
-      'x-cursor-client-device-type': 'desktop',
-      'x-cursor-config-version': crypto.randomUUID(),
-      'x-cursor-timezone': Intl.DateTimeFormat().resolvedOptions().timeZone || 'UTC',
-      'x-ghost-mode': ghostMode ? 'true' : 'false',
-      'x-request-id': crypto.randomUUID(),
-      'x-session-id': crypto.createHash('sha256').update(cleanToken).digest('hex').substring(0, 36),
-    };
   }
 
   transformRequest(
@@ -589,6 +511,15 @@ export class CursorExecutor {
                   emitSSE(buildChunk(delta, null));
                   chunkCount++;
                 }
+
+                if (frame.type === 'thinking') {
+                  const delta =
+                    chunkCount === 0 && toolCallCount === 0
+                      ? { role: 'assistant', reasoning_content: frame.text }
+                      : { reasoning_content: frame.text };
+                  emitSSE(buildChunk(delta, null));
+                  chunkCount++;
+                }
               }
             });
 
@@ -659,6 +590,7 @@ export class CursorExecutor {
   private *parseProtobufFrames(buffer: Buffer): Generator<
     | { type: 'error'; response: Response }
     | { type: 'text'; text: string }
+    | { type: 'thinking'; text: string }
     | {
         type: 'toolCall';
         toolCall: {
@@ -732,6 +664,10 @@ export class CursorExecutor {
       if (result.text) {
         yield { type: 'text', text: result.text };
       }
+
+      if (result.thinking) {
+        yield { type: 'thinking', text: result.thinking };
+      }
     }
   }
 
@@ -740,6 +676,7 @@ export class CursorExecutor {
     const created = Math.floor(Date.now() / 1000);
 
     let totalContent = '';
+    let totalReasoning = '';
     const toolCalls: Array<{
       id: string;
       type: string;
@@ -793,6 +730,10 @@ export class CursorExecutor {
       if (frame.type === 'text') {
         totalContent += frame.text;
       }
+
+      if (frame.type === 'thinking') {
+        totalReasoning += frame.text;
+      }
     }
 
     // Finalize remaining tool calls
@@ -814,6 +755,7 @@ export class CursorExecutor {
     const message: {
       role: string;
       content: string | null;
+      reasoning_content?: string | null;
       tool_calls?: Array<{
         id: string;
         type: string;
@@ -828,6 +770,10 @@ export class CursorExecutor {
       message.tool_calls = toolCalls;
     }
 
+    if (totalReasoning) {
+      message.reasoning_content = totalReasoning;
+    }
+
     const completion = {
       id: responseId,
       object: 'chat.completion',
@@ -992,6 +938,27 @@ export class CursorExecutor {
           })}\n\n`
         );
       }
+
+      if (frame.type === 'thinking') {
+        chunks.push(
+          `data: ${JSON.stringify({
+            id: responseId,
+            object: 'chat.completion.chunk',
+            created,
+            model,
+            choices: [
+              {
+                index: 0,
+                delta:
+                  chunks.length === 0 && toolCalls.length === 0
+                    ? { role: 'assistant', reasoning_content: frame.text }
+                    : { reasoning_content: frame.text },
+                finish_reason: null,
+              },
+            ],
+          })}\n\n`
+        );
+      }
     }
 
     if (chunks.length === 0 && toolCalls.length === 0) {

src/cursor/cursor-models.ts

@@ -2,156 +2,158 @@
  * Cursor Model Catalog
  *
  * Manages available models from Cursor IDE.
- * Based on Cursor's supported models catalog.
  */
 
 import * as http from 'http';
 import type { CursorModel } from './types';
+import type { CursorCredentials } from './cursor-protobuf-schema';
 import { isDaemonRunning } from './cursor-daemon';
+import { buildCursorModelsHeaders } from './cursor-client-policy';
+import {
+  DEFAULT_CURSOR_MODEL,
+  DEFAULT_CURSOR_MODELS,
+  detectProvider,
+  formatModelName,
+} from './cursor-default-models';
 
 /** Default daemon port */
 export const DEFAULT_CURSOR_PORT = 20129;
 
-/** Default model ID */
+export { DEFAULT_CURSOR_MODEL, DEFAULT_CURSOR_MODELS, detectProvider, formatModelName };
-export const DEFAULT_CURSOR_MODEL = 'gpt-5.3-codex';
 
-/**
+const CURSOR_MODELS_API_ENDPOINT = 'https://api2.cursor.sh/v1/models';
- * Default models available through Cursor IDE.
+const CURSOR_MODELS_CACHE_TTL_MS = 5 * 60 * 1000;
- * Used as fallback when daemon is not reachable.
- * Source: Cursor docs model catalog (Feb 2026)
- */
-export const DEFAULT_CURSOR_MODELS: CursorModel[] = [
-  // Anthropic Models
-  {
-    id: 'claude-4.6-opus',
-    name: 'Claude 4.6 Opus',
-    provider: 'anthropic',
-  },
-  {
-    id: 'claude-4.6-opus-fast-mode',
-    name: 'Claude 4.6 Opus (Fast mode)',
-    provider: 'anthropic',
-  },
-  {
-    id: 'claude-4.5-sonnet',
-    name: 'Claude 4.5 Sonnet',
-    provider: 'anthropic',
-  },
-  {
-    id: 'claude-4.5-opus',
-    name: 'Claude 4.5 Opus',
-    provider: 'anthropic',
-  },
-  {
-    id: 'claude-4.5-haiku',
-    name: 'Claude 4.5 Haiku',
-    provider: 'anthropic',
-  },
-  {
-    id: 'claude-4-sonnet',
-    name: 'Claude 4 Sonnet',
-    provider: 'anthropic',
-  },
-  {
-    id: 'claude-4-sonnet-1m',
-    name: 'Claude 4 Sonnet 1M',
-    provider: 'anthropic',
-  },
 
-  // Cursor Models
+let liveModelsCache: {
-  {
+  models: CursorModel[];
-    id: 'composer-1.5',
+  expiresAtMs: number;
-    name: 'Composer 1.5',
+} | null = null;
-    provider: 'cursor',
-  },
-  {
-    id: 'composer-1',
-    name: 'Composer 1',
-    provider: 'cursor',
-  },
 
-  // OpenAI Models
+interface CursorModelsApiResponse {
-  {
+  data?: Array<{ id?: unknown; name?: unknown; provider?: unknown }>;
-    id: 'gpt-5.3-codex',
+  models?: Array<{ id?: unknown; name?: unknown; provider?: unknown }>;
-    name: 'GPT-5.3 Codex',
+}
-    provider: 'openai',
-    isDefault: true,
-  },
-  {
-    id: 'gpt-5.2-codex',
-    name: 'GPT-5.2 Codex',
-    provider: 'openai',
-  },
-  {
-    id: 'gpt-5.2',
-    name: 'GPT-5.2',
-    provider: 'openai',
-  },
-  {
-    id: 'gpt-5.1-codex',
-    name: 'GPT-5.1 Codex',
-    provider: 'openai',
-  },
-  {
-    id: 'gpt-5.1-codex-max',
-    name: 'GPT-5.1 Codex Max',
-    provider: 'openai',
-  },
-  {
-    id: 'gpt-5.1-codex-mini',
-    name: 'GPT-5.1 Codex Mini',
-    provider: 'openai',
-  },
-  {
-    id: 'gpt-5-codex',
-    name: 'GPT-5-Codex',
-    provider: 'openai',
-  },
-  {
-    id: 'gpt-5',
-    name: 'GPT-5',
-    provider: 'openai',
-  },
-  {
-    id: 'gpt-5-fast',
-    name: 'GPT-5 Fast',
-    provider: 'openai',
-  },
-  {
-    id: 'gpt-5-mini',
-    name: 'GPT-5 Mini',
-    provider: 'openai',
-  },
 
-  // Google Models
+function normalizeModelRecords(
-  {
+  records: Array<{ id?: unknown; name?: unknown; provider?: unknown }>
-    id: 'gemini-3-pro',
+): CursorModel[] {
-    name: 'Gemini 3 Pro',
+  const models: CursorModel[] = [];
-    provider: 'google',
+  for (const record of records) {
-  },
+    if (!record || typeof record !== 'object') continue;
-  {
+    if (typeof record.id !== 'string' || !record.id) continue;
-    id: 'gemini-3-pro-image-preview',
+    const modelId = record.id;
-    name: 'Gemini 3 Pro Image Preview',
+    const modelName = typeof record.name === 'string' && record.name ? record.name : modelId;
-    provider: 'google',
+    const provider =
-  },
+      typeof record.provider === 'string' && record.provider
-  {
+        ? record.provider
-    id: 'gemini-3-flash',
+        : detectProvider(modelId);
-    name: 'Gemini 3 Flash',
+    models.push({
-    provider: 'google',
+      id: modelId,
-  },
+      name: modelName,
-  {
+      provider,
-    id: 'gemini-2.5-flash',
+      isDefault: modelId === DEFAULT_CURSOR_MODEL,
-    name: 'Gemini 2.5 Flash',
+    });
-    provider: 'google',
+  }
-  },
+  return models;
+}
 
-  // xAI Models
+function parseApiModelsResponse(payload: unknown): CursorModel[] | null {
-  {
+  if (!payload || typeof payload !== 'object') return null;
-    id: 'grok-code',
+  const response = payload as CursorModelsApiResponse;
-    name: 'Grok Code',
+  const records = Array.isArray(response.data)
-    provider: 'xai',
+    ? response.data
-  },
+    : Array.isArray(response.models)
-];
+      ? response.models
+      : null;
+
+  if (!records) return null;
+
+  const models = normalizeModelRecords(records);
+  return models.length > 0 ? models : null;
+}
+
+function getCachedLiveModels(nowMs: number = Date.now()): CursorModel[] | null {
+  if (!liveModelsCache) return null;
+  if (liveModelsCache.expiresAtMs <= nowMs) {
+    liveModelsCache = null;
+    return null;
+  }
+  return liveModelsCache.models;
+}
+
+function setCachedLiveModels(models: CursorModel[], nowMs: number = Date.now()): void {
+  liveModelsCache = {
+    models,
+    expiresAtMs: nowMs + CURSOR_MODELS_CACHE_TTL_MS,
+  };
+}
+
+export function clearCursorModelsCache(): void {
+  liveModelsCache = null;
+}
+
+export async function fetchModelsFromCursorApi(
+  credentials: CursorCredentials,
+  options: {
+    endpoint?: string;
+    timeoutMs?: number;
+  } = {}
+): Promise<CursorModel[] | null> {
+  if (!credentials.accessToken || !credentials.machineId) {
+    return null;
+  }
+
+  const endpoint = options.endpoint || CURSOR_MODELS_API_ENDPOINT;
+  const timeoutMs = options.timeoutMs ?? 5000;
+  const abortController = new AbortController();
+  const timeout = setTimeout(() => abortController.abort(), timeoutMs);
+
+  try {
+    const response = await fetch(endpoint, {
+      method: 'GET',
+      headers: buildCursorModelsHeaders(credentials),
+      signal: abortController.signal,
+    });
+
+    if (!response.ok) {
+      return null;
+    }
+
+    const payload = (await response.json()) as unknown;
+    return parseApiModelsResponse(payload);
+  } catch {
+    return null;
+  } finally {
+    clearTimeout(timeout);
+  }
+}
+
+export async function getModelsForDaemon(
+  options: {
+    credentials?: CursorCredentials | null;
+    endpoint?: string;
+    timeoutMs?: number;
+  } = {}
+): Promise<CursorModel[]> {
+  const cached = getCachedLiveModels();
+  if (cached) {
+    return cached;
+  }
+
+  const credentials = options.credentials;
+  if (credentials?.accessToken && credentials.machineId) {
+    const liveModels = await fetchModelsFromCursorApi(credentials, {
+      endpoint: options.endpoint,
+      timeoutMs: options.timeoutMs,
+    });
+    if (liveModels && liveModels.length > 0) {
+      setCachedLiveModels(liveModels);
+      return liveModels;
+    }
+  }
+
+  return DEFAULT_CURSOR_MODELS;
+}
 
 /**
  * Fetch available models from running cursor daemon.
@@ -241,32 +243,3 @@ export async function getAvailableModels(port: number): Promise<CursorModel[]> {
 export function getDefaultModel(): string {
   return DEFAULT_CURSOR_MODEL;
 }
-
-/**
- * Detect provider from model ID.
- */
-export function detectProvider(modelId: string): string {
-  if (modelId.includes('claude')) return 'anthropic';
-  if (modelId.includes('gpt') || /^o[1-9]\d*(-|$)/.test(modelId)) return 'openai';
-  if (modelId.includes('gemini')) return 'google';
-  if (modelId.includes('cursor') || modelId.includes('composer')) return 'cursor';
-  if (modelId.includes('grok')) return 'xai';
-  return 'unknown';
-}
-
-/**
- * Format model ID to human-readable name.
- */
-export function formatModelName(modelId: string): string {
-  // Find model in catalog for metadata
-  const model = DEFAULT_CURSOR_MODELS.find((m) => m.id === modelId);
-  if (model) {
-    return model.name;
-  }
-
-  // Fallback: convert kebab-case to title case
-  return modelId
-    .split('-')
-    .map((word) => word.charAt(0).toUpperCase() + word.slice(1))
-    .join(' ');
-}

src/cursor/index.ts

@@ -34,8 +34,11 @@ export {
   DEFAULT_CURSOR_PORT,
   DEFAULT_CURSOR_MODEL,
   fetchModelsFromDaemon,
+  fetchModelsFromCursorApi,
+  getModelsForDaemon,
   getAvailableModels,
   getDefaultModel,
+  clearCursorModelsCache,
   detectProvider,
   formatModelName,
 } from './cursor-models';

tests/unit/cursor/cursor-daemon.test.ts

@@ -153,6 +153,13 @@ describe('startDaemon', () => {
       const running = await isDaemonRunning(port);
       expect(running).toBe(true);
 
+      // Verify models endpoint exists and is OpenAI-compatible list shape
+      const modelsResponse = await fetch(`http://127.0.0.1:${port}/v1/models`);
+      expect(modelsResponse.status).toBe(200);
+      const modelsJson = (await modelsResponse.json()) as { object?: string; data?: unknown[] };
+      expect(modelsJson.object).toBe('list');
+      expect(Array.isArray(modelsJson.data)).toBe(true);
+
       // Verify chat endpoint exists (requires auth, should not be 404)
       const chatResponse = await fetch(`http://127.0.0.1:${port}/v1/chat/completions`, {
         method: 'POST',

tests/unit/cursor/cursor-models.test.ts

@@ -2,7 +2,8 @@
  * Unit tests for Cursor models module
  */
 
-import { describe, it, expect } from 'bun:test';
+import { describe, it, expect, beforeEach } from 'bun:test';
+import * as http from 'http';
 import {
   DEFAULT_CURSOR_MODELS,
   DEFAULT_CURSOR_PORT,
@@ -11,6 +12,9 @@ import {
   detectProvider,
   formatModelName,
   fetchModelsFromDaemon,
+  fetchModelsFromCursorApi,
+  getModelsForDaemon,
+  clearCursorModelsCache,
 } from '../../../src/cursor/cursor-models';
 
 describe('DEFAULT_CURSOR_MODELS', () => {
@@ -102,3 +106,127 @@ describe('fetchModelsFromDaemon', () => {
     expect(models).toEqual(DEFAULT_CURSOR_MODELS);
   });
 });
+
+describe('fetchModelsFromCursorApi', () => {
+  it('parses model list from API response', async () => {
+    const server = http.createServer((_req, res) => {
+      res.writeHead(200, { 'Content-Type': 'application/json' });
+      res.end(
+        JSON.stringify({
+          data: [
+            { id: 'gpt-5.3-codex', name: 'GPT-5.3 Codex', provider: 'openai' },
+            { id: 'claude-4.6-opus', name: 'Claude 4.6 Opus', provider: 'anthropic' },
+          ],
+        })
+      );
+    });
+
+    await new Promise<void>((resolve) => server.listen(0, '127.0.0.1', resolve));
+    const address = server.address();
+    if (!address || typeof address === 'string') {
+      throw new Error('Unable to resolve test server port');
+    }
+
+    try {
+      const models = await fetchModelsFromCursorApi(
+        {
+          accessToken: 'test-token-123',
+          machineId: '1234567890abcdef1234567890abcdef',
+        },
+        {
+          endpoint: `http://127.0.0.1:${address.port}/v1/models`,
+          timeoutMs: 2000,
+        }
+      );
+
+      expect(models).not.toBeNull();
+      expect(models?.[0].id).toBe('gpt-5.3-codex');
+      expect(models?.[1].id).toBe('claude-4.6-opus');
+    } finally {
+      await new Promise<void>((resolve) => server.close(() => resolve()));
+    }
+  });
+
+  it('returns null for non-200 responses', async () => {
+    const server = http.createServer((_req, res) => {
+      res.writeHead(403, { 'Content-Type': 'application/json' });
+      res.end(JSON.stringify({ error: 'forbidden' }));
+    });
+
+    await new Promise<void>((resolve) => server.listen(0, '127.0.0.1', resolve));
+    const address = server.address();
+    if (!address || typeof address === 'string') {
+      throw new Error('Unable to resolve test server port');
+    }
+
+    try {
+      const models = await fetchModelsFromCursorApi(
+        {
+          accessToken: 'test-token-123',
+          machineId: '1234567890abcdef1234567890abcdef',
+        },
+        {
+          endpoint: `http://127.0.0.1:${address.port}/v1/models`,
+          timeoutMs: 2000,
+        }
+      );
+
+      expect(models).toBeNull();
+    } finally {
+      await new Promise<void>((resolve) => server.close(() => resolve()));
+    }
+  });
+});
+
+describe('getModelsForDaemon', () => {
+  beforeEach(() => {
+    clearCursorModelsCache();
+  });
+
+  it('falls back to defaults without credentials', async () => {
+    const models = await getModelsForDaemon();
+    expect(models).toEqual(DEFAULT_CURSOR_MODELS);
+  });
+
+  it('uses cached live models when endpoint becomes unavailable', async () => {
+    const liveModelId = 'test-live-model';
+    const server = http.createServer((_req, res) => {
+      res.writeHead(200, { 'Content-Type': 'application/json' });
+      res.end(
+        JSON.stringify({
+          data: [{ id: liveModelId, name: 'Live Model', provider: 'openai' }],
+        })
+      );
+    });
+
+    await new Promise<void>((resolve) => server.listen(0, '127.0.0.1', resolve));
+    const address = server.address();
+    if (!address || typeof address === 'string') {
+      throw new Error('Unable to resolve test server port');
+    }
+
+    const endpoint = `http://127.0.0.1:${address.port}/v1/models`;
+
+    try {
+      const first = await getModelsForDaemon({
+        credentials: {
+          accessToken: 'test-token-123',
+          machineId: '1234567890abcdef1234567890abcdef',
+        },
+        endpoint,
+        timeoutMs: 2000,
+      });
+
+      expect(first[0]?.id).toBe(liveModelId);
+    } finally {
+      await new Promise<void>((resolve) => server.close(() => resolve()));
+    }
+
+    const second = await getModelsForDaemon({
+      endpoint: 'http://127.0.0.1:9/v1/models',
+      timeoutMs: 250,
+    });
+
+    expect(second[0]?.id).toBe(liveModelId);
+  });
+});

tests/unit/cursor/cursor-protobuf.test.ts

@@ -531,6 +531,28 @@ describe('CursorExecutor', () => {
       const body = JSON.parse(bodyText);
       expect(body.error.type).toBe('rate_limit_error');
     });
+
+    it('should surface reasoning_content when thinking payload is present', async () => {
+      const textContent = 'Final answer';
+      const thinkingContent = 'Internal reasoning trail';
+      const thinkingField = encodeField(FIELD.Thinking.TEXT, WIRE_TYPE.LEN, thinkingContent);
+      const chatResponse = concatArrays(
+        encodeField(FIELD.ChatResponse.TEXT, WIRE_TYPE.LEN, textContent),
+        encodeField(FIELD.ChatResponse.THINKING, WIRE_TYPE.LEN, thinkingField)
+      );
+      const responseMsg = encodeField(FIELD.Response.RESPONSE, WIRE_TYPE.LEN, chatResponse);
+      const frame = wrapConnectRPCFrame(responseMsg, false);
+
+      const result = executor.transformProtobufToJSON(Buffer.from(frame), 'gpt-4', {
+        messages: [],
+      });
+
+      expect(result.status).toBe(200);
+      const bodyText = await result.text();
+      const body = JSON.parse(bodyText);
+      expect(body.choices[0].message.content).toBe(textContent);
+      expect(body.choices[0].message.reasoning_content).toBe(thinkingContent);
+    });
   });
 
   describe('transformProtobufToSSE', () => {
@@ -572,6 +594,23 @@ describe('CursorExecutor', () => {
       const body = JSON.parse(bodyText);
       expect(body.error.type).toBe('rate_limit_error');
     });
+
+    it('should emit reasoning_content deltas for thinking payloads', async () => {
+      const thinkingContent = 'Deliberate reasoning';
+      const thinkingField = encodeField(FIELD.Thinking.TEXT, WIRE_TYPE.LEN, thinkingContent);
+      const chatResponse = encodeField(FIELD.ChatResponse.THINKING, WIRE_TYPE.LEN, thinkingField);
+      const responseMsg = encodeField(FIELD.Response.RESPONSE, WIRE_TYPE.LEN, chatResponse);
+      const frame = wrapConnectRPCFrame(responseMsg, false);
+
+      const result = executor.transformProtobufToSSE(Buffer.from(frame), 'gpt-4', {
+        messages: [],
+      });
+
+      expect(result.status).toBe(200);
+      const bodyText = await result.text();
+      expect(bodyText).toContain('reasoning_content');
+      expect(bodyText).toContain(thinkingContent);
+    });
   });
 
   describe('decompressPayload error handling', () => {
@@ -676,6 +715,16 @@ function buildTextFrame(text: string): Buffer {
   return buildFrame(responseMsg);
 }
 
+/**
+ * Helper: build a protobuf thinking response frame
+ */
+function buildThinkingFrame(thinking: string): Buffer {
+  const thinkingField = encodeField(FIELD.Thinking.TEXT, WIRE_TYPE.LEN, thinking);
+  const responseField = encodeField(FIELD.ChatResponse.THINKING, WIRE_TYPE.LEN, thinkingField);
+  const responseMsg = encodeField(FIELD.Response.RESPONSE, WIRE_TYPE.LEN, responseField);
+  return buildFrame(responseMsg);
+}
+
 describe('StreamingFrameParser', () => {
   it('should parse a complete single frame', () => {
     const parser = new StreamingFrameParser();
@@ -784,6 +833,18 @@ describe('StreamingFrameParser', () => {
     }
   });
 
+  it('should parse thinking frames', () => {
+    const parser = new StreamingFrameParser();
+    const frame = buildThinkingFrame('Think step by step');
+    const results = parser.push(frame);
+
+    expect(results.length).toBe(1);
+    expect(results[0].type).toBe('thinking');
+    if (results[0].type === 'thinking') {
+      expect(results[0].text).toBe('Think step by step');
+    }
+  });
+
   it('should report hasPartial() correctly', () => {
     const parser = new StreamingFrameParser();
     expect(parser.hasPartial()).toBe(false);

tests/unit/web-server/cursor-routes.test.ts

@@ -1,10 +1,148 @@
 /**
  * Cursor Routes Tests
- * Tests for daemon start precondition validation logic.
+ * Endpoint contract tests without module-level mocks.
  */
 
-import { describe, it, expect } from 'bun:test';
+import { describe, it, expect, beforeAll, beforeEach, afterAll } from 'bun:test';
-import { getDaemonStartPreconditionError } from '../../../src/web-server/routes/cursor-routes';
+import express from 'express';
+import * as fs from 'fs';
+import * as os from 'os';
+import * as path from 'path';
+import type { Server } from 'http';
+
+let server: Server;
+let baseUrl = '';
+let tempDir = '';
+let originalCcsHome: string | undefined;
+
+let setGlobalConfigDir: (dir: string | undefined) => void;
+let getCcsDir: () => string;
+let loadOrCreateUnifiedConfig: () => {
+  cursor?: {
+    enabled?: boolean;
+    port?: number;
+    auto_start?: boolean;
+    ghost_mode?: boolean;
+    model?: string;
+  };
+};
+let saveUnifiedConfig: (config: {
+  cursor?: {
+    enabled?: boolean;
+    port?: number;
+    auto_start?: boolean;
+    ghost_mode?: boolean;
+    model?: string;
+  };
+}) => void;
+let saveCredentials: (credentials: {
+  accessToken: string;
+  machineId: string;
+  authMethod: 'manual' | 'auto-detect';
+  importedAt: string;
+}) => void;
+let deleteCredentials: () => boolean;
+let checkAuthStatus: () => { authenticated: boolean; expired?: boolean };
+let getDaemonStartPreconditionError: (
+  input: { enabled: boolean; authenticated: boolean; tokenExpired?: boolean }
+) => { status: number; error: string } | null;
+
+function seedCursorConfig(overrides: {
+  enabled?: boolean;
+  port?: number;
+  auto_start?: boolean;
+  ghost_mode?: boolean;
+  model?: string;
+} = {}): void {
+  const config = loadOrCreateUnifiedConfig();
+  config.cursor = {
+    enabled: overrides.enabled ?? true,
+    port: overrides.port ?? 20129,
+    auto_start: overrides.auto_start ?? false,
+    ghost_mode: overrides.ghost_mode ?? true,
+    model: overrides.model ?? 'gpt-5.3-codex',
+  };
+  saveUnifiedConfig(config);
+}
+
+function seedCredentials(expired: boolean): void {
+  saveCredentials({
+    accessToken: 'a'.repeat(60),
+    machineId: '1234567890abcdef1234567890abcdef',
+    authMethod: 'manual',
+    importedAt: expired
+      ? new Date(Date.now() - 26 * 60 * 60 * 1000).toISOString()
+      : new Date().toISOString(),
+  });
+}
+
+beforeAll(async () => {
+  originalCcsHome = process.env.CCS_HOME;
+  tempDir = fs.mkdtempSync(path.join(os.tmpdir(), 'ccs-cursor-routes-test-'));
+  process.env.CCS_HOME = tempDir;
+
+  const configManager = await import('../../../src/utils/config-manager');
+  setGlobalConfigDir = configManager.setGlobalConfigDir;
+  getCcsDir = configManager.getCcsDir;
+  setGlobalConfigDir(undefined);
+
+  const unifiedConfig = await import('../../../src/config/unified-config-loader');
+  loadOrCreateUnifiedConfig = unifiedConfig.loadOrCreateUnifiedConfig;
+  saveUnifiedConfig = unifiedConfig.saveUnifiedConfig;
+
+  const cursorAuth = await import('../../../src/cursor/cursor-auth');
+  saveCredentials = cursorAuth.saveCredentials;
+  deleteCredentials = cursorAuth.deleteCredentials;
+  checkAuthStatus = cursorAuth.checkAuthStatus;
+
+  const cursorRoutesModule = await import('../../../src/web-server/routes/cursor-routes');
+  getDaemonStartPreconditionError = cursorRoutesModule.getDaemonStartPreconditionError;
+
+  const app = express();
+  app.use(express.json());
+  app.use('/api/cursor', cursorRoutesModule.default);
+
+  server = app.listen(0, '127.0.0.1');
+  await new Promise<void>((resolve) => server.on('listening', () => resolve()));
+  const address = server.address();
+  if (!address || typeof address === 'string') {
+    throw new Error('Unable to resolve test server port');
+  }
+  baseUrl = `http://127.0.0.1:${address.port}`;
+});
+
+beforeEach(() => {
+  fs.rmSync(tempDir, { recursive: true, force: true });
+  fs.mkdirSync(tempDir, { recursive: true });
+
+  setGlobalConfigDir(undefined);
+  const ccsDir = getCcsDir();
+  if (!fs.existsSync(ccsDir)) {
+    fs.mkdirSync(ccsDir, { recursive: true });
+  }
+
+  seedCursorConfig();
+
+  // Ensure clean auth state for each test.
+  deleteCredentials();
+});
+
+afterAll(async () => {
+  if (server) {
+    await new Promise<void>((resolve) => server.close(() => resolve()));
+  }
+
+  if (originalCcsHome !== undefined) {
+    process.env.CCS_HOME = originalCcsHome;
+  } else {
+    delete process.env.CCS_HOME;
+  }
+  setGlobalConfigDir(undefined);
+
+  if (tempDir && fs.existsSync(tempDir)) {
+    fs.rmSync(tempDir, { recursive: true, force: true });
+  }
+});
 
 describe('Cursor Routes Logic', () => {
   describe('POST /daemon/start preconditions', () => {
@@ -57,4 +195,118 @@ describe('Cursor Routes Logic', () => {
       expect(result).toBeNull();
     });
   });
+
+  describe('HTTP contracts', () => {
+    it('GET /api/cursor/status returns current state', async () => {
+      const res = await fetch(`${baseUrl}/api/cursor/status`);
+      expect(res.status).toBe(200);
+
+      const json = (await res.json()) as {
+        enabled: boolean;
+        authenticated: boolean;
+        token_expired: boolean;
+        daemon_running: boolean;
+        port: number;
+      };
+
+      expect(json.enabled).toBe(true);
+      expect(json.authenticated).toBe(false);
+      expect(json.token_expired).toBe(false);
+      expect(json.daemon_running).toBe(false);
+      expect(json.port).toBe(20129);
+    });
+
+    it('POST /api/cursor/auth/import validates required fields', async () => {
+      const res = await fetch(`${baseUrl}/api/cursor/auth/import`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({ accessToken: 'only-token' }),
+      });
+
+      expect(res.status).toBe(400);
+      const json = (await res.json()) as { error?: string };
+      expect(json.error).toContain('Missing accessToken or machineId');
+    });
+
+    it('POST /api/cursor/auth/import rejects invalid token format', async () => {
+      const res = await fetch(`${baseUrl}/api/cursor/auth/import`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          accessToken: 'short',
+          machineId: 'bad',
+        }),
+      });
+
+      expect(res.status).toBe(400);
+      const json = (await res.json()) as { error?: string };
+      expect(json.error).toContain('Invalid token or machine ID format');
+      expect(checkAuthStatus().authenticated).toBe(false);
+    });
+
+    it('POST /api/cursor/auth/import persists valid credentials', async () => {
+      const res = await fetch(`${baseUrl}/api/cursor/auth/import`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          accessToken: 'a'.repeat(60),
+          machineId: '1234567890abcdef1234567890abcdef',
+        }),
+      });
+
+      expect(res.status).toBe(200);
+      expect(checkAuthStatus().authenticated).toBe(true);
+    });
+
+    it('POST /api/cursor/auth/auto-detect returns 404 when no token source found', async () => {
+      const res = await fetch(`${baseUrl}/api/cursor/auth/auto-detect`, {
+        method: 'POST',
+      });
+
+      expect(res.status).toBe(404);
+      const json = (await res.json()) as { error?: string };
+      expect(typeof json.error).toBe('string');
+      expect(json.error?.length).toBeGreaterThan(0);
+    });
+
+    it('POST /api/cursor/daemon/start returns 400 when integration is disabled', async () => {
+      seedCursorConfig({ enabled: false });
+      seedCredentials(false);
+
+      const res = await fetch(`${baseUrl}/api/cursor/daemon/start`, { method: 'POST' });
+      expect(res.status).toBe(400);
+      const json = (await res.json()) as { success?: boolean; error?: string };
+      expect(json.success).toBe(false);
+      expect(json.error).toContain('disabled');
+    });
+
+    it('POST /api/cursor/daemon/start returns 401 when unauthenticated', async () => {
+      seedCursorConfig({ enabled: true });
+
+      const res = await fetch(`${baseUrl}/api/cursor/daemon/start`, { method: 'POST' });
+      expect(res.status).toBe(401);
+      const json = (await res.json()) as { error?: string };
+      expect(json.error).toContain('authentication required');
+    });
+
+    it('POST /api/cursor/daemon/start returns 401 when token is expired', async () => {
+      seedCursorConfig({ enabled: true });
+      seedCredentials(true);
+
+      const res = await fetch(`${baseUrl}/api/cursor/daemon/start`, { method: 'POST' });
+      expect(res.status).toBe(401);
+      const json = (await res.json()) as { error?: string };
+      expect(json.error).toContain('expired');
+    });
+
+    it('GET /api/cursor/models returns current model and list payload', async () => {
+      const res = await fetch(`${baseUrl}/api/cursor/models`);
+      expect(res.status).toBe(200);
+
+      const json = (await res.json()) as { models: Array<{ id: string }>; current: string };
+      expect(Array.isArray(json.models)).toBe(true);
+      expect(json.models.length).toBeGreaterThan(0);
+      expect(json.current).toBe('gpt-5.3-codex');
+    });
+  });
 });