{"content":[{"text":"total 16\ndrwxr-xr-x 3 root root 4096 Sep 18 08:00 .\ndrwxr-xr-x 7 root root 4096 Sep 18 21:59 ..\ndrwxr-xr-x 8 root root 4096 Sep 18 08:00 .git\n-rw-r--r-- 1 root root  408 Sep 18 08:00 .gitignore\n---\n--- env ---\nPI_CODING_AGENT=true\nPI_REASONING_LEVEL=medium\nPI_SESSION_FILE=/sandbox/.gauge/pi/sessions/2026-09-18T21-59-07-288Z_01a0b687-c918-7f3f-9414-878c9ce3836b.jsonl\nPI_PROVIDER=gauge-fireworks\nPI_MODEL=accounts/fireworks/models/deepseek-v4-pro-0813\nPI_SESSION_ID=01a0b687-c918-7f3f-9414-878c9ce3836b\nPI_GATEWAY_API_KEY=unused\n","type":"text"}]}

{"content":[{"text":"Python 3.12.3\nv22.23.2\n--- check curl internet ---\n{\"current_user_url\":\"https://api.github.com/user\",\"current_user_authorizations_html_url\":\"https://github.com/settings/connections/applications{/client_id}\",\"authorizations_url\":\"https://api.github.com/authorizations\",\"code_search_url\":\"https://api.github.com/search/code?q={query}{&page,per_page,sort,order}\",\"commit_search_url\":\"https://api.github.com/search/commits?q={query}{&page,per_page,sort,order}\",\"emails_url\":\"https://api.github.com/user/emails\",\"emojis_url\":\"https://api.github.com/emojis\",\"events_url\":\"https://api.github.com/events\",\"feeds_url\":\"https://api.github.com/feeds\",\"followers_url\":\"https://api.github.com/user/followers\",\"following_url\":\"https://api.github.com/user/following{/target}\",\"gists_url\":\"https://api.github.com/gists{/gist_id}\",\"hub_url\":\"https://api.github.com/hub\",\"issue_search_url\":\"https://api.github.com/search/issues?q={query}{&page,per_page,sort,order}\",\"issues_url\":\"https://api.github.com/issues\",\"keys_url\":\"https://api.github.com/user/keys\",\"label_search_url\":\"https://api.github.com/search/labels?q={query}&repository_id={repository_id}{&page,per_page}\",\"notifications_url\":\"https://api.github.com/notifications\",\"organization_url\":\"https://api.github.com/orgs/{org}\",\"organization_repositories_url\":\"https://api.github.com/orgs/{org}/repos{?type,page,per_page,sort}\",\"organization_teams_url\":\"https://api.github.com/orgs/{org}/teams\",\"public_gists_url\":\"https://api.github.com/gists/public\",\"rate_limit_url\":\"https://api.github.com/rate_limit\",\"repository_url\":\"https://api.github.com/repos/{owner}/{repo}\",\"repository_search_url\":\"https://api.github.com/search/repositories?q={query}{&page,per_page,sort,order}\",\"current_user_repositories_url\":\"https://api.github.com/user/repos{?type,page,per_page,sort}\",\"starred_url\":\"https://api.github.com/user/starred{/owner}{/repo}\",\"starred_gists_url\":\"https://api.github.com/gists/starred\",\"topic_search_url\":\"https://api.github.com/search/topics?q={query}{&page,per_page}\",\"user_url\":\"https://api.github.com/users/{user}\",\"user_organizations_url\":\"https://api.github.com/user/orgs\",\"user_repositories_url\":\"https://api.github.com/users/{user}/repos{?type,page,per_page,sort}\",\"user_search_url\":\"https://api.github.com/search/users?q={query}{&page,per_page,sort,order}\"}","type":"text"}]}

{"content":[{"text":"# Keep generated and vendored files out of source diffs.\n\n# Logs / OS cruft\n*.log\n.DS_Store\n\n# JavaScript / TypeScript\nnode_modules/\n.next/\ndist/\nbuild/\ncoverage/\n\n# Python\n.venv/\nvenv/\n__pycache__/\n*.py[cod]\n.pytest_cache/\n*.egg-info/\n\n# Rust\ntarget/\n\n# Go / PHP / Ruby vendored deps\nvendor/\n.bundle/\n\n# Java / Kotlin / Scala\n.gradle/\n\n# .NET\nbin/\nobj/\n\n# Elixir\n_build/\ndeps/\n\n# Dart / Flutter\n.dart_tool/\n--- git remote ---\n--- git log ---\n9ebf5fb Initial workspace\n","type":"text"}]}

curl -sS --max-time 15 "https://api.github.com/search/repositories?q=tabbycat&per_page=10" 2>&1 | python3 -c "import sys,json; d=json.load(sys.stdin); [print(r['full_name'], '|', r.get('description'), '|', r.get('html_url')) for r in d.get('items',[])]"

{"content":[{"text":"TabbycatDebate/tabbycat | Debating tournament tabulation software for British Parliamentary and a variety of two-team parliamentary formats | https://github.com/TabbycatDebate/tabbycat\nSchrodingerZhu/tabbycat | dotgraph generator for rust | https://github.com/SchrodingerZhu/tabbycat\nLil1th/TabbyCat | Tabby Cat hacks, because I made so many it needed a different repo. Find Chomusuke tweaks on @TheSwiftPhantom's profile | https://github.com/Lil1th/TabbyCat\nSnsaiu/TabbyCat_OpenSource | 狸花猫AI助手开源项目 | https://github.com/Snsaiu/TabbyCat_OpenSource\nolihawkins/tabbycat | An R package for tabulating and summarising categorical variables. | https://github.com/olihawkins/tabbycat\ntasdidtahsin/TabbycatImporter | None | https://github.com/tasdidtahsin/TabbycatImporter\nJLimperg/tabbycat | None | https://github.com/JLimperg/tabbycat\nTabbycatDebate/CSV-Importers | Importers for Tabbycat based on the importtournament command with CSV | https://github.com/TabbycatDebate/CSV-Importers\nTabbycatDebate/tabbycatdebate.github.io | None | https://github.com/TabbycatDebate/tabbycatdebate.github.io\ntiyd-fee-2016-02/TabbyCatOrphanage | We are a non-profit organization, dedicated to the care of orphaned tabby cats.  Every tabby cat needs a loving home.  | https://github.com/tiyd-fee-2016-02/TabbyCatOrphanage\n","type":"text"}]}

echo "=== npm ==="; curl -sS --max-time 15 "https://registry.npmjs.org/-/v1/search?text=tabbycat&size=10" | python3 -c "import sys,json; d=json.load(sys.stdin); [print(o['package']['name'],'|',o['package'].get('description'),'|',o['package'].get('links',{}).get('repository')) for o in d.get('objects',[])]"
echo "=== pypi ==="; curl -sS --max-time 15 "https://pypi.org/pypi/tabbycat/json" | python3 -c "import sys,json; d=json.load(sys.stdin); print(d['info']['summary']); print(d['info'].get('home_page')); print(d['info'].get('project_urls'))" 2>&1 | head -20

{"content":[{"text":"=== npm ===\ntabbycat | Promise-based client for Tableau Server Rest API for the browser and node.js using axios. Tableau are moving towards openAPI specs which will mean clients can be generated, but that's not the case for the main API. In an attempt to be as complete as possi | git://github.com/iamdavehart/tabbycat.git\n@tabbycat-ai/sdk | SDK for building apps on the Tabbycat platform with authentication and persistent storage | git+https://github.com/launchflow/tabbycat.git\n=== pypi ===\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\nKeyError: 'info'\n","type":"text"}]}

echo "=== crates ==="; curl -sS --max-time 15 "https://crates.io/api/v1/crates?q=tabbycat&per_page=10" | python3 -c "import sys,json; d=json.load(sys.stdin); [print(c.get('name'),'|',c.get('description'),'|',c.get('homepage')) for c in d.get('crates',[])]" 2>&1 | head -20

{"content":[{"text":"=== crates ===\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"/usr/lib/python3.12/json/__init__.py\", line 293, in load\n    return loads(fp.read(),\n           ^^^^^^^^^^^^^^^^\n  File \"/usr/lib/python3.12/json/__init__.py\", line 346, in loads\n    return _default_decoder.decode(s)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/lib/python3.12/json/decoder.py\", line 337, in decode\n    obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/lib/python3.12/json/decoder.py\", line 355, in raw_decode\n    raise JSONDecodeError(\"Expecting value\", s, err.value) from None\njson.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n","type":"text"}]}

curl -sS --max-time 15 "https://registry.npmjs.org/@tabbycat-ai/sdk" | python3 -c "
import sys,json
d=json.load(sys.stdin)
print('name:', d.get('name'))
print('description:', d.get('description'))
print('dist-tags:', d.get('dist-tags'))
latest = d.get('dist-tags',{}).get('latest')
v = d['versions'][latest]
print('version:', latest)
print('homepage:', v.get('homepage'))
print('repository:', v.get('repository'))
print('keywords:', v.get('keywords'))
print('main:', v.get('main'), 'module:', v.get('module'), 'types:', v.get('types'))
print('deps:', v.get('dependencies'))
print('peerDeps:', v.get('peerDependencies'))
print('bin:', v.get('bin'))
print('--- README ---')
print(v.get('readme','')[:4000])
"

{"content":[{"text":"name: @tabbycat-ai/sdk\ndescription: SDK for building apps on the Tabbycat platform with authentication and persistent storage\ndist-tags: {'latest': '0.1.7'}\nversion: 0.1.7\nhomepage: https://github.com/launchflow/tabbycat#readme\nrepository: {'type': 'git', 'url': 'git+https://github.com/launchflow/tabbycat.git'}\nkeywords: ['tabbycat', 'cloudflare', 'workers', 'hono', 'sdk', 'platform']\nmain: ./dist/index.js module: ./dist/index.js types: ./dist/index.d.ts\ndeps: {'hono': '^4.6.0', 'jose': '^6.1.3', 'zod': '^3.23.0'}\npeerDeps: {'@cloudflare/workers-types': '^4.0.0'}\nbin: None\n--- README ---\n\n","type":"text"}]}

curl -sS --max-time 15 "https://api.github.com/repos/launchflow/tabbycat" | python3 -c "import sys,json; d=json.load(sys.stdin); print('full_name:',d.get('full_name')); print('desc:',d.get('description')); print('homepage:',d.get('homepage')); print('default_branch:',d.get('default_branch')); print('topics:',d.get('topics')); print('html_url:',d.get('html_url'))"

{"content":[{"text":"{\n  \"message\": \"Not Found\",\n  \"documentation_url\": \"https://docs.github.com/rest/repos/repos#get-a-repository\",\n  \"status\": \"404\"\n}\n","type":"text"}]}

{"content":[{"text":"package/dist/agent-tools.js\npackage/dist/auth.js\npackage/dist/storage/backend.js\npackage/dist/blobs.js\npackage/dist/client.js\npackage/dist/storage/durable-object.js\npackage/dist/index.js\npackage/dist/storage/index.js\npackage/dist/openapi.js\npackage/dist/permissions.js\npackage/dist/secrets.js\npackage/dist/types.js\npackage/package.json\npackage/dist/agent-tools.d.ts.map\npackage/dist/auth.d.ts.map\npackage/dist/storage/backend.d.ts.map\npackage/dist/blobs.d.ts.map\npackage/dist/client.d.ts.map\npackage/dist/storage/durable-object.d.ts.map\npackage/dist/index.d.ts.map\npackage/dist/storage/index.d.ts.map\npackage/dist/openapi.d.ts.map\npackage/dist/permissions.d.ts.map\npackage/dist/secrets.d.ts.map\npackage/dist/types.d.ts.map\npackage/README.md\npackage/dist/agent-tools.d.ts\npackage/dist/auth.d.ts\npackage/dist/storage/backend.d.ts\npackage/dist/blobs.d.ts\npackage/dist/client.d.ts\npackage/dist/storage/durable-object.d.ts\npackage/dist/index.d.ts\npackage/dist/storage/index.d.ts\npackage/dist/openapi.d.ts\npackage/dist/permissions.d.ts\npackage/dist/secrets.d.ts\npackage/dist/types.d.ts\n","type":"text"}]}

{"content":[{"text":"# @tabbycat/sdk\n\nSDK for building apps on the Tabbycat platform with authentication and persistent storage.\n\n## Installation\n\n```bash\nnpm install @tabbycat/sdk\n```\n\n## Quick Start\n\n```typescript\nimport { createApp, PlatformStorage } from '@tabbycat/sdk'\n\n// Export the PlatformStorage Durable Object\nexport { PlatformStorage }\n\nconst app = createApp({ appId: 'my-app' })\n\n// All /api/* routes automatically have user auth and storage\napp.get('/api/me', (c) => {\n  const user = c.get('user')\n  return c.json({ user })\n})\n\n// Use persistent storage (scoped per user/org)\napp.get('/api/data', async (c) => {\n  const storage = c.get('storage')\n  const data = await storage.get('my-collection', 'my-key')\n  return c.json({ data })\n})\n\napp.post('/api/data', async (c) => {\n  const storage = c.get('storage')\n  const body = await c.req.json()\n  await storage.set('my-collection', 'my-key', body)\n  return c.json({ success: true })\n})\n\n// Serve static assets\napp.get('*', async (c) => {\n  return c.env.ASSETS.fetch(c.req.raw)\n})\n\nexport default app\n```\n\n## Features\n\n### Authentication\n\nThe SDK automatically handles authentication via:\n1. **X-User-Context header** - Injected by the Tabbycat dispatch worker (W4P mode)\n2. **PropelAuth tokens** - Direct JWT verification (standalone mode)\n\nAccess the authenticated user in any `/api/*` route:\n\n```typescript\napp.get('/api/profile', (c) => {\n  const user = c.get('user')\n  // user.id, user.email, user.orgId\n  return c.json({ user })\n})\n```\n\n### Persistent Storage\n\nStorage is automatically scoped per user (or per organization if the user belongs to one).\n\n```typescript\nconst storage = c.get('storage')\n\n// Get a value\nconst item = await storage.get<MyType>('collection', 'key')\n\n// Set a value\nawait storage.set('collection', 'key', { foo: 'bar' })\n\n// Delete a value\nawait storage.delete('collection', 'key')\n\n// List items in a collection\nconst result = await storage.list<MyType>('collection', {\n  limit: 10,\n  cursor: 'optional-cursor'\n})\n// result.items, result.cursor\n```\n\n## Wrangler Configuration\n\nAdd the PlatformStorage Durable Object to your `wrangler.toml`:\n\n```toml\nname = \"my-app\"\nmain = \"worker/index.ts\"\ncompatibility_date = \"2024-12-18\"\ncompatibility_flags = [\"nodejs_compat\"]\n\n[assets]\ndirectory = \"./dist/client\"\nbinding = \"ASSETS\"\n\n[[durable_objects.bindings]]\nname = \"PLATFORM_STORAGE\"\nclass_name = \"PlatformStorage\"\n\n[[migrations]]\ntag = \"v1\"\nnew_classes = [\"PlatformStorage\"]\n```\n\n## Environment Variables\n\n| Variable | Description |\n|----------|-------------|\n| `SIGNING_SECRET` | Secret for verifying X-User-Context signatures |\n| `PROPELAUTH_VERIFIER_KEY` | PropelAuth public key (standalone mode) |\n| `PROPELAUTH_AUTH_URL` | PropelAuth auth URL (standalone mode) |\n\n## License\n\nMIT\n","type":"text"}]}

{"content":[{"text":"{\n  \"name\": \"@tabbycat-ai/sdk\",\n  \"version\": \"0.1.7\",\n  \"description\": \"SDK for building apps on the Tabbycat platform with authentication and persistent storage\",\n  \"type\": \"module\",\n  \"main\": \"./dist/index.js\",\n  \"module\": \"./dist/index.js\",\n  \"types\": \"./dist/index.d.ts\",\n  \"exports\": {\n    \".\": {\n      \"types\": \"./dist/index.d.ts\",\n      \"import\": \"./dist/index.js\"\n    },\n    \"./storage\": {\n      \"types\": \"./dist/storage/index.d.ts\",\n      \"import\": \"./dist/storage/index.js\"\n    },\n    \"./permissions\": {\n      \"types\": \"./dist/permissions.d.ts\",\n      \"import\": \"./dist/permissions.js\"\n    },\n    \"./agent-tools\": {\n      \"types\": \"./dist/agent-tools.d.ts\",\n      \"import\": \"./dist/agent-tools.js\"\n    },\n    \"./secrets\": {\n      \"types\": \"./dist/secrets.d.ts\",\n      \"import\": \"./dist/secrets.js\"\n    },\n    \"./openapi\": {\n      \"types\": \"./dist/openapi.d.ts\",\n      \"import\": \"./dist/openapi.js\"\n    },\n    \"./client\": {\n      \"types\": \"./dist/client.d.ts\",\n      \"import\": \"./dist/client.js\"\n    }\n  },\n  \"files\": [\n    \"dist\",\n    \"README.md\"\n  ],\n  \"scripts\": {\n    \"build\": \"tsc\",\n    \"prepublishOnly\": \"npm run build\"\n  },\n  \"keywords\": [\n    \"tabbycat\",\n    \"cloudflare\",\n    \"workers\",\n    \"hono\",\n    \"sdk\",\n    \"platform\"\n  ],\n  \"author\": \"Tabbycat\",\n  \"license\": \"MIT\",\n  \"repository\": {\n    \"type\": \"git\",\n    \"url\": \"https://github.com/launchflow/tabbycat\"\n  },\n  \"dependencies\": {\n    \"hono\": \"^4.6.0\",\n    \"jose\": \"^6.1.3\",\n    \"zod\": \"^3.23.0\"\n  },\n  \"peerDependencies\": {\n    \"@cloudflare/workers-types\": \"^4.0.0\"\n  },\n  \"devDependencies\": {\n    \"@cloudflare/workers-types\": \"^4.20241218.0\",\n    \"typescript\": \"^5.7.2\"\n  }\n}\n","type":"text"}]}

{"content":[{"text":"import { Hono } from 'hono';\nimport type { PlatformConfig, PlatformContext } from './types';\nimport { StorageEnv } from './storage';\nexport { PlatformStorage } from './storage';\nexport { verifyPropelAuthToken, extractBearerToken } from './auth';\nexport type { User, PlatformConfig, PlatformContext, StorageModule, AuthModule, SecretsModule, BlobsModule, BlobPutOptions, BlobGetResult, BlobListOptions, BlobListResult, ListOptions, ListResult, PropelAuthConfig } from './types';\nexport type { AppPermissions, PermissionGrant, ResourceScope, ScopeCategory } from './permissions';\nexport { hasScope, getGrantedScopes, SCOPE_PRESETS, AVAILABLE_SCOPES, migratePermissions } from './permissions';\nexport type PlatformEnv = StorageEnv & {\n    ASSETS?: Fetcher;\n    BLOBS?: R2Bucket;\n    PROPELAUTH_VERIFIER_KEY?: string;\n    PROPELAUTH_AUTH_URL?: string;\n    [key: string]: unknown;\n};\nexport type PlatformApp = Hono<{\n    Bindings: PlatformEnv;\n    Variables: PlatformContext;\n}>;\nexport declare function createApp(config?: PlatformConfig): PlatformApp;\nexport declare function extendApp(baseApp: Hono<{\n    Bindings: PlatformEnv;\n}>, config?: PlatformConfig): PlatformApp;\n//# sourceMappingURL=index.d.ts.map=== client.d.ts ===\n/**\n * Client-side SDK module for user apps embedded in iframes.\n * Handles session expiry recovery via postMessage with the parent shell.\n *\n * Usage in user app frontend:\n *   import { authenticatedFetch, initSessionListener } from '@tabbycat-ai/sdk/client'\n *   initSessionListener()\n *   const response = await authenticatedFetch('/api/files')\n */\n/**\n * Initialize the session listener for bootstrap/recovery messages from the parent shell.\n * Call this once when the app starts (e.g., in main.tsx or App.tsx).\n */\nexport declare function initSessionListener(): void;\n/**\n * Wrapper around fetch that handles session expiry recovery.\n * If a request returns 401, it triggers the SESSION_EXPIRED → REBOOTSTRAP flow\n * and retries the original request once.\n */\nexport declare function authenticatedFetch(input: RequestInfo | URL, init?: RequestInit): Promise<Response>;\n/**\n * Check if the current session is active.\n */\nexport declare function isSessionActive(): boolean;\n/**\n * Check if session recovery is in progress.\n */\nexport declare function isRecovering(): boolean;\n//# sourceMappingURL=client.d.ts.map","type":"text"}]}

{"content":[{"text":"=== types.d.ts ===\nexport type User = {\n    id: string;\n    email: string;\n    name?: string;\n    firstName?: string;\n    lastName?: string;\n    pictureUrl?: string;\n    orgId?: string;\n    orgName?: string;\n    roles?: string[];\n    permissions?: string[];\n};\nexport type PropelAuthConfig = {\n    verifierKey: string;\n    authUrl?: string;\n    issuer?: string;\n};\nexport type PlatformConfig = {\n    appId?: string;\n    requiredScope?: string;\n    auth?: {\n        propelAuth?: PropelAuthConfig;\n        mockUser?: User | null;\n    };\n    storage?: {\n        provider?: 'durable-object' | 'kv' | 'memory';\n    };\n};\nexport type ListOptions = {\n    limit?: number;\n    cursor?: string;\n    prefix?: string;\n};\nexport type ListResult<T = unknown> = {\n    items: T[];\n    cursor?: string;\n    hasMore: boolean;\n};\nexport interface StorageBackend {\n    get<T = unknown>(table: string, id: string): Promise<T | null>;\n    set<T = unknown>(table: string, id: string, value: T): Promise<void>;\n    delete(table: string, id: string): Promise<boolean>;\n    query<T = unknown>(table: string, filter?: Record<string, unknown>): Promise<T[]>;\n    list<T = unknown>(table: string, options?: ListOptions): Promise<ListResult<T>>;\n}\nexport type StorageModule = {\n    get: <T = unknown>(table: string, id: string) => Promise<T | null>;\n    set: <T = unknown>(table: string, id: string, value: T) => Promise<void>;\n    delete: (table: string, id: string) => Promise<boolean>;\n    query: <T = unknown>(table: string, filter?: Record<string, unknown>) => Promise<T[]>;\n    list: <T = unknown>(table: string, options?: ListOptions) => Promise<ListResult<T>>;\n};\nexport type AuthModule = {\n    getUser: () => User | null;\n    requireUser: () => User;\n    requireRole: (role: string) => User;\n    isAuthenticated: () => boolean;\n};\nexport type SecretsModule = {\n    get: (key: string) => string | null;\n    has: (key: string) => boolean;\n    require: (key: string) => string;\n};\nexport type BlobsModule = {\n    put: (key: string, value: ReadableStream | ArrayBuffer | string, options?: BlobPutOptions) => Promise<void>;\n    get: (key: string) => Promise<BlobGetResult | null>;\n    delete: (key: string) => Promise<void>;\n    list: (options?: BlobListOptions) => Promise<BlobListResult>;\n    has: (key: string) => Promise<boolean>;\n};\nexport type BlobPutOptions = {\n    contentType?: string;\n    metadata?: Record<string, string>;\n};\nexport type BlobGetResult = {\n    body: ReadableStream;\n    contentType: string;\n    size: number;\n    metadata?: Record<string, string>;\n};\nexport type BlobListOptions = {\n    prefix?: string;\n    limit?: number;\n    cursor?: string;\n};\nexport type BlobListResult = {\n    items: Array<{\n        key: string;\n        size: number;\n        uploaded: string;\n    }>;\n    cursor?: string;\n    hasMore: boolean;\n};\nexport type PlatformContext = {\n    user: User | null;\n    auth: AuthModule;\n    storage: StorageModule;\n    secrets: SecretsModule;\n    blobs: BlobsModule;\n};\n//# sourceMappingURL=types.d.ts.map=== secrets.d.ts ===\n/**\n * Secrets types for user secret management and app secret injection\n */\n/**\n * Encrypted secret stored in KV\n * Key format: secrets:{userId}:{secretName}\n */\nexport interface EncryptedSecret {\n    encryptedValue: string;\n    iv: string;\n    createdAt: number;\n}\n/**\n * User secret metadata (stored in D1)\n * Users can name their secrets anything they want\n */\nexport interface UserSecret {\n    id: string;\n    userId: string;\n    name: string;\n    description?: string;\n    createdAt: number;\n    updatedAt: number;\n    lastUsedAt?: number;\n    usageCount: number;\n}\n/**\n * Secret mapping - connects an app's requested key to a user's secret\n * e.g., app requests \"EXA_API_KEY\" -> user maps to their \"my_exa_key\" secret\n */\nexport interface SecretMapping {\n    id: string;\n    userId: string;\n    appId: string;\n    requestedKey: string;\n    secretName: string;\n    grantedAt: number;\n}\n/**\n * Session data structure for secret mappings\n * Map: appId -> { requestedKey -> secretName }\n *\n * Example:\n * {\n *   \"my-custom-app\": {\n *     \"EXA_API_KEY\": \"my_exa_key\",\n *     \"OPENAI_KEY\": \"prod_openai\"\n *   }\n * }\n */\nexport type SecretMappingsMap = Record<string, Record<string, string>>;\n/**\n * App's required secrets (from wrangler.jsonc)\n */\nexport interface AppSecretRequirements {\n    appId: string;\n    requiredSecrets: string[];\n}\n/**\n * Request body for granting secret access\n */\nexport interface GrantSecretRequest {\n    appId: string;\n    requestedKey: string;\n    secretName?: string;\n    newSecret?: {\n        name: string;\n        value: string;\n        description?: string;\n    };\n}\n/**\n * Response for listing secrets (without values)\n */\nexport interface SecretsListResponse {\n    secrets: UserSecret[];\n}\n/**\n * Response for listing secret mappings\n */\nexport interface SecretMappingsResponse {\n    mappings: SecretMapping[];\n}\n/**\n * App secret metadata (stored in D1)\n * These are secrets set by the app developer, bound to the deployed worker\n * Unlike user secrets which are mapped per-user, app secrets are tied to the deployment\n * When an app is forked, the fork gets a new deployment with NO app secrets\n *\n * App secrets are accessed via `env.SECRET_NAME` in the worker (Cloudflare native binding)\n */\nexport interface AppSecret {\n    id: string;\n    appId: string;\n    userId: string;\n    secretName: string;\n    description?: string;\n    createdAt: number;\n    updatedAt: number;\n}\n/**\n * Request body for creating/updating an app secret\n */\nexport interface CreateAppSecretRequest {\n    secretName: string;\n    secretValue: string;\n    description?: string;\n}\n/**\n * Response for listing app secrets (values are never exposed)\n */\nexport interface AppSecretsListResponse {\n    secrets: AppSecret[];\n}\n//# sourceMappingURL=secrets.d.ts.map=== openapi.d.ts ===\nimport { z } from 'zod';\nexport declare const SearchRequestSchema: z.ZodObject<{\n    query: z.ZodString;\n    limit: z.ZodOptional<z.ZodDefault<z.ZodNumber>>;\n    cursor: z.ZodOptional<z.ZodString>;\n}, \"strip\", z.ZodTypeAny, {\n    query: string;\n    cursor?: string | undefined;\n    limit?: number | undefined;\n}, {\n    query: string;\n    cursor?: string | undefined;\n    limit?: number | undefined;\n}>;\nexport declare const SearchResultItemSchema: z.ZodObject<{\n    id: z.ZodString;\n    title: z.ZodString;\n    description: z.ZodOptional<z.ZodString>;\n    url: z.ZodOptional<z.ZodString>;\n    type: z.ZodOptional<z.ZodString>;\n    updatedAt: z.ZodOptional<z.ZodString>;\n    metadata: z.ZodOptional<z.ZodRecord<z.ZodString, z.ZodUnknown>>;\n}, \"strip\", z.ZodTypeAny, {\n    title: string;\n    id: string;\n    type?: string | undefined;\n    metadata?: Record<string, unknown> | undefined;\n    description?: string | undefined;\n    url?: string | undefined;\n    updatedAt?: string | undefined;\n}, {\n    title: string;\n    id: string;\n    type?: string | undefined;\n    metadata?: Record<string, unknown> | undefined;\n    description?: string | undefined;\n    url?: string | undefined;\n    updatedAt?: string | undefined;\n}>;\nexport declare const SearchResponseSchema: z.ZodObject<{\n    results: z.ZodArray<z.ZodObject<{\n        id: z.ZodString;\n        title: z.ZodString;\n        description: z.ZodOptional<z.ZodString>;\n        url: z.ZodOptional<z.ZodString>;\n        type: z.ZodOptional<z.ZodString>;\n        updatedAt: z.ZodOptional<z.ZodString>;\n        metadata: z.ZodOptional<z.ZodRecord<z.ZodString, z.ZodUnknown>>;\n    }, \"strip\", z.ZodTypeAny, {\n        title: string;\n        id: string;\n        type?: string | undefined;\n        metadata?: Record<string, unknown> | undefined;\n        description?: string | undefined;\n        url?: string | undefined;\n        updatedAt?: string | undefined;\n    }, {\n        title: string;\n        id: string;\n        type?: string | undefined;\n        metadata?: Record<string, unknown> | undefined;\n        description?: string | undefined;\n        url?: string | undefined;\n        updatedAt?: string | undefined;\n    }>, \"many\">;\n    cursor: z.ZodOptional<z.ZodString>;\n    hasMore: z.ZodDefault<z.ZodBoolean>;\n    total: z.ZodOptional<z.ZodNumber>;\n}, \"strip\", z.ZodTypeAny, {\n    hasMore: boolean;\n    results: {\n        title: string;\n        id: string;\n        type?: string | undefined;\n        metadata?: Record<string, unknown> | undefined;\n        description?: string | undefined;\n        url?: string | undefined;\n        updatedAt?: string | undefined;\n    }[];\n    cursor?: string | undefined;\n    total?: number | undefined;\n}, {\n    results: {\n        title: string;\n        id: string;\n        type?: string | undefined;\n        metadata?: Record<string, unknown> | undefined;\n        description?: string | undefined;\n        url?: string | undefined;\n        updatedAt?: string | undefined;\n    }[];\n    cursor?: string | undefined;\n    hasMore?: boolean | undefined;\n    total?: number | undefined;\n}>;\nexport type SearchRequest = z.infer<typeof SearchRequestSchema>;\nexport type SearchResultItem = z.infer<typeof SearchResultItemSchema>;\nexport type SearchResponse = z.infer<typeof SearchResponseSchema>;\nexport interface OpenAPIConfig {\n    title: string;\n    version?: string;\n    description?: string;\n    serverUrl?: string;\n}\n/**\n * Build the standard OpenAPI documentation config for use with\n * `openAPIRouteHandler(app, { documentation: buildOpenAPIDoc(config) })`\n */\nexport declare function buildOpenAPIDoc(config: OpenAPIConfig): {\n    info: {\n        description?: string | undefined;\n        title: string;\n        version: string;\n    };\n    servers: {\n        url: string;\n        description: string;\n    }[];\n};\n/**\n * Add `x-tabbycat-search: true` to a describeRoute() config\n * to mark an endpoint as the app's cross-app search endpoint.\n * The parent app uses this to discover which apps support search.\n */\nexport declare const TABBYCAT_SEARCH_EXTENSION = \"x-tabbycat-search\";\n//# sourceMappingURL=openapi.d.ts.map","type":"text"}]}

{"content":[{"text":"/**\n * Agent Tools SDK for iframe apps to register tools with the parent TabbyCat app.\n * This module provides helper functions for registering agent tools and handling tool execution.\n *\n * Usage in iframe apps:\n * ```typescript\n * import { setupAgentTools, registerAgentTools } from '@tabbycat-ai/sdk/agent-tools'\n *\n * // Set up message listener (call once on app init)\n * const cleanup = setupAgentTools()\n *\n * // Register your tools\n * registerAgentTools([\n *   {\n *     name: 'my_tool',\n *     description: 'Does something useful',\n *     parameters: { input: { type: 'string', description: 'The input' } }\n *   }\n * ], async (toolName, args) => {\n *   // Handle tool execution\n *   if (toolName === 'my_tool') {\n *     return { success: true, result: args.input }\n *   }\n *   return { success: false, error: 'Unknown tool' }\n * })\n *\n * // Cleanup on unmount\n * cleanup()\n * ```\n */\nexport interface ToolParameter {\n    type: 'string' | 'number' | 'boolean' | 'array' | 'object';\n    description?: string;\n    optional?: boolean;\n}\n/**\n * Display configuration for how a tool appears in the AI chat UI.\n */\nexport interface ToolDisplayConfig {\n    /** Human-readable label (e.g., \"Read file\" instead of \"read_file\") */\n    label?: string;\n    /** Icon name from lucide-react (e.g., \"FileText\", \"Search\", \"Pencil\") */\n    icon?: string;\n    /** Display style: 'minimal' shows just icon + label + status, 'detailed' is expandable */\n    style?: 'minimal' | 'detailed';\n    /**\n     * Streaming preview configuration. When set, the tool's input is rendered\n     * as a live diff-style preview during streaming instead of the default\n     * expandable tool card.\n     */\n    streaming?: ToolStreamingConfig;\n}\n/**\n * Configuration for rendering a tool's input as a streaming diff preview.\n * Specifies which input parameter contains the large content field that\n * should be streamed incrementally.\n */\nexport interface ToolStreamingConfig {\n    /** The input parameter name that holds the main streamable content (e.g., 'content', 'replaceText') */\n    contentField: string;\n    /** Optional input parameter name for content being replaced (shown as red removal lines, e.g., 'searchText') */\n    removalField?: string;\n    /** Diff mode controls the badge/icon style: 'new' | 'edit' | 'overwrite' | 'append'. Defaults to 'new'. */\n    diffMode?: 'new' | 'edit' | 'overwrite' | 'append';\n}\n/**\n * Action that can be triggered when clicking on a tool result in the chat UI.\n * Include this as `_action` in your tool result to make the tool clickable.\n *\n * @example\n * ```typescript\n * return {\n *   success: true,\n *   results: [...],\n *   _action: {\n *     type: 'open-tab',\n *     path: '/results/123',\n *     title: 'Search Results'\n *   }\n * }\n * ```\n */\nexport interface ToolResultAction {\n    /** Action type - currently only 'open-tab' is supported */\n    type: 'open-tab';\n    /** App ID to open the tab in (e.g., 'exa-search', 'file-editor') */\n    appId: string;\n    /** Path to open in the app (relative to the app root) */\n    path: string;\n    /** Title for the new tab */\n    title?: string;\n}\nexport interface SerializableToolDefinition {\n    name: string;\n    description: string;\n    parameters: Record<string, ToolParameter>;\n    /** Optional display configuration for the chat UI */\n    display?: ToolDisplayConfig;\n}\nexport type ToolExecuteHandler = (toolName: string, args: Record<string, unknown>) => Promise<unknown>;\n/**\n * Get the current tab ID.\n */\nexport declare function getTabId(): string | null;\n/**\n * Register agent tools with the parent app.\n * The parent app will call back via postMessage when the AI invokes these tools.\n *\n * @param tools - Array of tool definitions (without execute functions)\n * @param executeHandler - Function to handle tool execution requests\n */\nexport declare function registerAgentTools(tools: SerializableToolDefinition[], executeHandler: ToolExecuteHandler): void;\n/**\n * Unregister all agent tools for this tab.\n */\nexport declare function unregisterAgentTools(): void;\n/**\n * Capture a screenshot of the current app's viewport.\n * Uses html2canvas (dynamically imported to avoid bundling in apps that don't need it).\n * Returns a base64 JPEG data URL, resized to fit within MAX_DIM to keep payloads small.\n */\nexport declare function captureScreenshot(): Promise<string>;\n/**\n * Set up the message listener for agent tools.\n * Call this once when the iframe app initializes.\n *\n * @returns Cleanup function to remove the listener\n */\nexport declare function setupAgentTools(): () => void;\n/**\n * Open a new tab in the parent app.\n */\nexport declare function openNewTab(path: string, title?: string): void;\n/**\n * Update the title of the current tab.\n */\nexport declare function updateTabTitle(title: string): void;\n/**\n * Notify the parent app that a file/data has changed.\n * This triggers a broadcast to all iframes of the same app type to refetch data.\n */\nexport declare function notifyDataChanged(dataType: string, id?: string): void;\n/**\n * Register a callback to be called when data changes in other iframes.\n * Use this to trigger refetches when files are modified by AI tools.\n */\nexport declare function onDataChanged(callback: (dataType: string, id?: string) => void): void;\nexport interface ChatReferenceOptions {\n    type: string;\n    displayId: string;\n    content: string;\n}\n/**\n * Add a reference to the chat input.\n * The reference will appear as an @mention chip that the user can include in their message.\n */\nexport declare function addChatReference(options: ChatReferenceOptions): void;\nexport interface OpenChatWithReferenceOptions extends ChatReferenceOptions {\n    message?: string;\n}\n/** Prompt suggestion for quick actions in the chat sidebar */\nexport interface PromptSuggestion {\n    /** Icon name from lucide-react (e.g., \"FileText\", \"Search\", \"Pencil\") */\n    icon: string;\n    /** Display label for the suggestion */\n    label: string;\n    /** The prompt text to fill or submit */\n    prompt: string;\n    /** Optional tag badge (e.g., \"New\", \"Beta\") */\n    tag?: string;\n    /** Color for the tag badge (default: 'blue') */\n    tagColor?: 'blue' | 'green' | 'yellow' | 'red' | 'purple' | 'orange';\n    /** If true, immediately submit the prompt. If false, fill the input for user to customize */\n    autoSubmit?: boolean;\n}\n/** Configuration for prompt suggestions shown in the chat sidebar */\nexport interface PromptSuggestionsConfig {\n    /** Heading text shown above suggestions (e.g., \"How can I help?\") */\n    heading: string;\n    /** Array of prompt suggestions */\n    suggestions: PromptSuggestion[];\n}\n/**\n * Open the chat sidebar and add a reference to the input.\n * Optionally pre-fill a message.\n */\nexport declare function openChatWithReference(options: OpenChatWithReferenceOptions): void;\n/**\n * Register prompt suggestions for this app.\n * These will be shown in the chat sidebar when this app's tab is active.\n *\n * @param config - The prompt suggestions configuration\n */\nexport declare function registerPromptSuggestions(config: PromptSuggestionsConfig): void;\n/**\n * Unregister prompt suggestions for this app.\n */\nexport declare function unregisterPromptSuggestions(): void;\n/** Configuration for app context sent to the AI agent */\nexport interface AppContextConfig {\n    /** Short label for the context (e.g., file name, search query) */\n    title: string;\n    /** The actual context content (e.g., first N lines of a file, search results summary) */\n    summary: string;\n}\nexport declare function setAppContext(context: AppContextConfig): void;\n/**\n * Clear the app context for the current tab.\n */\nexport declare function clearAppContext(): void;\n//# sourceMappingURL=agent-tools.d.ts.map","type":"text"}]}

{"content":[{"text":"=== tabbycat.ai homepage ===\n<!DOCTYPE html>\n<html>\n  <head>\n    <title>Sign in ・ Cloudflare Access</title>\n    \n    <meta charset=\"utf-8\" />\n    <meta name=\"robots\" content=\"noindex\" />\n    <meta name=\"viewport\" content=\"initial-scale=1, maximum-scale=1, user-scalable=no, width=device-width\" />\n    <link rel=\"icon\" type=\"image/svg+xml\" href=\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 62 50'%3E %3Cstyle%3E path %7B fill: url(%23gradient-light); %7D @media (prefers-color-scheme: dark) %7B path %7B fill: url(%23gradient-dark); %7D %7D %3C/style%3E %3Cdefs%3E %3ClinearGradient id='gradient-light' x1='30.7' y1='0' x2='30.7' y2='49.8' gradientUnits='userSpaceOnUse'%3E %3Cstop stop-color='%23332CB3'/%3E %3Cstop offset='1' stop-color='%23456FDD'/%3E %3C/linearGradient%3E %3ClinearGradient id='gradient-dark' x1='30.7' y1='0' x2='30.7' y2='49.8' gradientUnits='userSpaceOnUse'%3E %3Cstop stop-color='%23FFFFFF'/%3E 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for u in "https://tabbycat.ai/" "https://tabbycat.ai/pricing" "https://docs.tabbycat.ai/" "https://www.tabbycat.ai/" "https://launchflow.com/" "https://launchflow.com/pricing"; do code=$(curl -sS -o /dev/null -w "%{http_code} %{url_effective}" --max-time 10 -L "$u" 2>&1); echo "$code"; done

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curl -sS --max-time 15 "https://registry.npmjs.org/@tabbycat-ai/sdk" | python3 -c "import sys,json; d=json.load(sys.stdin); t=d.get('time',{}); print('created:', t.get('created')); print('modified:', t.get('modified')); print('versions:', list(d.get('versions',{}).keys())[:20])"; echo "--- search tabbycat-ai scope ---"; curl -sS --max-time 15 "https://registry.npmjs.org/-/v1/search?text=tabbycat-ai&size=20" | python3 -c "import sys,json; d=json.load(sys.stdin); [print(o['package']['name'],'|',o['package'].get('description')) for o in d.get('objects',[])]"

{"content":[{"text":"created: 2026-01-02T03:17:12.727Z\nmodified: 2026-03-10T08:26:19.457Z\nversions: ['0.1.0', '0.1.1', '0.1.2', '0.1.3', '0.1.4', '0.1.5', '0.1.6', '0.1.7']\n--- search tabbycat-ai scope ---\n@tabbycat-ai/sdk | SDK for building apps on the Tabbycat platform with authentication and persistent storage\nnanoid | A tiny (118 bytes), secure URL-friendly unique string ID generator\nai | AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.\n@ai-sdk/provider | \n@ai-sdk/provider-utils | \n@ai-sdk/gateway | The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of AI models and providers.\n@ai-sdk/react | [React](https://react.dev/) UI components for the [AI SDK](https://ai-sdk.dev/docs):\n@ai-sdk/anthropic | The **[Anthropic provider](https://ai-sdk.dev/providers/ai-sdk-providers/anthropic)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Anthropic Messages API](https://docs.anthropic.com/claude/reference/messages_post).\n@ai-sdk/openai-compatible | This package provides a foundation for implementing providers that expose an OpenAI-compatible API.\n@openrouter/ai-sdk-provider | The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs) gives access to over 300 large language models on the OpenRouter chat and completion APIs.\n@ai-sdk/google | The **[Google provider](https://ai-sdk.dev/providers/ai-sdk-providers/google)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Generative AI](https://ai.google/discover/generativeai/) APIs.\n@google/genai | [![NPM Downloads](https://img.shields.io/npm/dw/%40google%2Fgenai)](https://www.npmjs.com/package/@google/genai) [![Node Current](https://img.shields.io/node/v/%40google%2Fgenai)](https://www.npmjs.com/package/@google/genai)\n@ai-sdk/openai | The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.\n@ai-sdk/google-vertex | The **[Google Vertex provider](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Vertex AI](https://cloud.google.com/vertex-ai) APIs.\n@anthropic-ai/claude-code-linux-x64 | Native binary for Claude Code on linux-x64\n@anthropic-ai/claude-agent-sdk | SDK for building AI agents with Claude Code's capabilities. Programmatically interact with Claude to build autonomous agents that can understand codebases, edit files, and execute workflows.\n@firebase/ai | The Firebase AI SDK\n@anthropic-ai/claude-agent-sdk-linux-x64 | Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-x64\n@ai-sdk/vue | [Vue.js](https://vuejs.org/) UI components for the [AI SDK](https://ai-sdk.dev/docs):\n@ai-sdk/mistral | The **[Mistral provider](https://ai-sdk.dev/providers/ai-sdk-providers/mistral)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model, embedding model, and speech model support for Mistral APIs.\n","type":"text"}]}

cd /tmp/tcx && cat > index.ts <<'EOF'
import { createApp, PlatformStorage } from '@tabbycat-ai/sdk'

// Required to bind the SDK's Durable Object storage on Cloudflare Workers.
export { PlatformStorage }

const app = createApp({ appId: 'my-app' })

// All /api/* routes automatically get authenticated user + scoped storage.
app.get('/api/me', (c) => {
  const user = c.get('user')
  return c.json({ user })
})

app.get('/api/data', async (c) => {
  const storage = c.get('storage')
  const data = await storage.get('notes', 'welcome')
  return c.json({ data })
})

app.post('/api/data', async (c) => {
  const storage = c.get('storage')
  const body = await c.req.json()
  await storage.set('notes', 'welcome', body)
  return c.json({ success: true })
})

app.get('*', (c) => c.env.ASSETS.fetch(c.req.raw))

export default app
EOF
cat > tsconfig.json <<'EOF'
{
  "compilerOptions": {
    "target": "ES2022",
    "module": "ESNext",
    "moduleResolution": "Bundler",
    "strict": true,
    "types": ["@cloudflare/workers-types"],
    "skipLibCheck": true,
    "noEmit": true
  },
  "include": ["index.ts"]
}
EOF
npx tsc -p tsconfig.json 2>&1; echo "exit=$?"

curl -sS -o /dev/null -w "npm @tabbycat/sdk -> %{http_code}\n" --max-time 15 "https://registry.npmjs.org/@tabbycat%2Fsdk"; echo "--- wrangler quickstart check: is wrangler a separate install? ---"; ls /tmp/tcx/node_modules/.bin | tr '\n' ' '; echo; echo "--- deps installed ---"; cat /tmp/tcx/node_modules/@tabbycat-ai/sdk/package.json | python3 -c "import sys,json; d=json.load(sys.stdin); print('name:', d['name'], '| version:', d['version'])"

{"content":[{"text":"npm @tabbycat/sdk -> 404\n--- wrangler quickstart check: is wrangler a separate install? ---\ntsc tsserver \n--- deps installed ---\nname: @tabbycat-ai/sdk | version: 0.1.7\n","type":"text"}]}