{ "schema": "acpx.session.v1", "acpx_record_id": "agent:claude:acp:9e69a852-54e1-4dff-8bab-7fe1770fbee6:oneshot:034b9882-3077-4b66-85c7-ef1ce32dd322", "acp_session_id": "ff245dd9-bebe-474a-a52d-d776d4d5d87b", "agent_command": "npx -y @agentclientprotocol/claude-agent-acp@^0.25.0", "cwd": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard", "name": "agent:claude:acp:9e69a852-54e1-4dff-8bab-7fe1770fbee6", "created_at": "2026-04-13T05:39:33.766Z", "last_used_at": "2026-04-13T05:41:45.137Z", "last_seq": 0, "last_request_id": "47a7551a-567c-4580-955f-65b416281771", "event_log": { "active_path": "/home/lagoon3/.acpx/sessions/agent%3Aclaude%3Aacp%3A9e69a852-54e1-4dff-8bab-7fe1770fbee6%3Aoneshot%3A034b9882-3077-4b66-85c7-ef1ce32dd322.stream.ndjson", "segment_count": 5, "max_segment_bytes": 67108864, "max_segments": 5, "last_write_error": null }, "closed": true, "closed_at": "2026-04-13T05:41:45.277Z", "pid": 1505307, "agent_started_at": "2026-04-13T05:39:34.276Z", "last_prompt_at": "2026-04-13T05:39:44.121Z", "protocol_version": 1, "agent_capabilities": { "_meta": { "claudeCode": { "promptQueueing": true } }, "promptCapabilities": { "image": true, "embeddedContext": true }, "mcpCapabilities": { "http": true, "sse": true }, "loadSession": true, "sessionCapabilities": { "fork": {}, "list": {}, "resume": {}, "close": {} } }, "title": null, "messages": [ { "User": { "id": "447f8524-b49b-48d1-aac5-f50e73190b70", "content": [ { "Text": "[Mon 2026-04-13 14:39 GMT+9] ai-usage-dashboard repo에서 auth 독립화 옵션 A 단계만 진행해줘. 범위를 넘기지 말고 아래만 해.\n\n목표:\n- localhost callback 서버 골격 구현\n- callback에서 code/state를 수신하는 최소 흐름 구현\n- 수신 결과를 현재 placeholder/mock auth 저장 흐름과 연결\n- 아직 실제 provider token exchange는 하지 말 것\n- 아직 브라우저 자동 열기 구현도 하지 말 것\n- 아직 OpenClaw import 구현도 하지 말 것\n- 기존 status/usage 전체 전환은 하지 말 것\n\n현재 상태:\n- auth store 골격 구현됨\n- account resolver 구현됨\n- auth login codex CLI 골격 구현됨\n- localhost callback 준비 코드와 포트 fallback helper 있음\n- manual paste 입력 처리와 placeholder/mock 저장 흐름 있음\n- docs와 issue #5는 최신화됨\n\n작업 범위(정확히 이 범위만):\n1. localhost callback 서버 시작/대기/종료용 파일 추가 또는 기존 auth 모듈 확장\n2. `/callback` 요청에서 `code`와 `state`를 수신하는 최소 구현\n3. state mismatch / code 없음 같은 기본 오류 처리\n4. `auth login codex` 기본 경로가 callback 서버를 준비하고, 수신 성공 시 현재 placeholder/mock 저장 흐름으로 이어지게 연결\n5. 실제 OAuth token exchange 대신 기존 mock/placeholder 저장 함수를 재사용\n6. README 최소 반영 가능하면 반영\n7. 커밋은 하지 말고 결과 요약만 반환할 것\n\n주의:\n- 실제 외부 OAuth 호출 금지\n- 브라우저 자동 열기 금지\n- placeholder/mock임이 코드/출력에서 분명해야 함\n- 기존 manual 흐름은 깨지지 않게 유지\n- 결과에는 수정 파일 목록, 구현 범위, placeholder인 부분, 다음 단계 연결 포인트를 포함할 것\n\n출력은 한국어로 간결하게 정리해줘." } ] } }, { "Agent": { "content": [ { "Thinking": { "text": "Let me start by understanding the current codebase structure, especially the auth-related files.", "signature": null } }, { "ToolUse": { "id": "toolu_01TXQ4LNLugw4R5GZ2RUPff4", "name": "Explore auth module structure", "raw_input": "{\"subagent_type\":\"Explore\",\"description\":\"Explore auth module structure\",\"prompt\":\"Explore the auth-related code in this project. I need to understand:\\n1. The overall project structure (top-level files and directories)\\n2. All auth-related files and their contents\\n3. The CLI login flow (auth login codex)\\n4. The auth store, account resolver\\n5. Any callback server or port helper code\\n6. The manual paste fallback flow\\n7. README content\\n\\nBe very thorough - read all auth-related files completely. This is a Node/TypeScript project likely using Ink for CLI.\"}", "input": { "subagent_type": "Explore", "description": "Explore auth module structure", "prompt": "Explore the auth-related code in this project. I need to understand:\n1. The overall project structure (top-level files and directories)\n2. All auth-related files and their contents\n3. The CLI login flow (auth login codex)\n4. The auth store, account resolver\n5. Any callback server or port helper code\n6. The manual paste fallback flow\n7. README content\n\nBe very thorough - read all auth-related files completely. This is a Node/TypeScript project likely using Ink for CLI." }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_014VXmmTybXYUYndijBkr2kc", "name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -maxdepth 2 -type f -name \"*.json\" -o -name \"*.md\" | head -20", "raw_input": "{\"command\":\"find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -maxdepth 2 -type f -name \\\"*.json\\\" -o -name \\\"*.md\\\" | head -20\"}", "input": { "command": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -maxdepth 2 -type f -name \"*.json\" -o -name \"*.md\" | head -20" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01ND2dYoPFEt57hHgLGVxD2Q", "name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/", "raw_input": "{\"command\":\"ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/" }, 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`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*paste*.js`", "raw_input": "{\"pattern\":\"**/*paste*.js\",\"path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard\"}", "input": { "pattern": "**/*paste*.js", "path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_016JXJBYhRhYLebr3sPXQmKR", "name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth -type f -name \"*.js\" | sort", "raw_input": "{\"command\":\"find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth -type f -name \\\"*.js\\\" | sort\"}", "input": { "command": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth -type f -name \"*.js\" | sort" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01L98Q2ogq1XbCgd4aE9sBx8", "name": "Read README.md", "raw_input": 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/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_016U73qrT4TYAh4YJ3mD5Bav", "name": "Read packages/agent/src/cli/run-cli.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/run-cli.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/run-cli.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01RxspAmhpdjCfbicadKxnSr", "name": "Read packages/agent/src/index.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/index.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/index.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_011xpfMpAWe3z36P6LCWYJRy", "name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/", "raw_input": "{\"command\":\"ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01VvMybGczx8jYtM1ANctq22", "name": "Read packages/agent/README.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/README.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/README.md" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01NA6cnrMFWRhaP75kyzSTPM", "name": "Read packages/agent/package.json", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/package.json\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/package.json" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01RJRADkeEsYqurDKoctN6Vd", "name": "cat /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js 2>/dev/null | head -30", "raw_input": "{\"command\":\"cat /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js 2>/dev/null | head -30\"}", "input": { "command": "cat /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js 2>/dev/null | head -30" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_012wMDRzAQPW7XGvmk4D1DdT", "name": "Read package.json", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01PKMz3PEhwUMkSYAHCYLWNp", "name": "Read docs/architecture.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/architecture.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/architecture.md" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_013LmqBuci16BYyfYQ4oRs7E", "name": "Read packages/agent/src/cli/doctor-command.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/doctor-command.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/doctor-command.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01U9LCJUq2sAabHaQnKQxGKm", "name": "Read packages/agent/src/cli/status-command.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/status-command.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/status-command.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01ENo6hGXwB8MBVgQzCdg89w", "name": "Read packages/agent/src/cli/config-init-command.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/config-init-command.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/config-init-command.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_012U12W1wp1vWKqCxy7HNngH", "name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/", "raw_input": "{\"command\":\"ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01AsGEA9LF2L5ktnQoKqNToy", "name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/services/", "raw_input": "{\"command\":\"ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/services/\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/services/" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_0177RN7Zm2N7vwKCNdGVxJya", "name": "Read packages/agent/src/config/config-path.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/config-path.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/config-path.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01KB15xKcaXFTytbM94CTR6v", "name": "Read packages/agent/src/config/default-config.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/default-config.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/default-config.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01LG5NQoGyApjdWHs7nC652E", "name": "Read packages/agent/src/services/status-service.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/services/status-service.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/services/status-service.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01Ubu3d3aF4dzAnVTTJsRFXj", "name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex -type f -name \"*.js\" | sort", "raw_input": "{\"command\":\"find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex -type f -name \\\"*.js\\\" | sort\"}", "input": { "command": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex -type f -name \"*.js\" | sort" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01ApRWBDuMxm1ctWYiWKiT2s", "name": "Read packages/provider-adapters/src/codex/index.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/index.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/index.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_0112GCDeB5fXacyDQcBUZT9g", "name": "Read packages/provider-adapters/src/codex/fetch-codex-usage.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/fetch-codex-usage.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/fetch-codex-usage.js" }, "is_input_complete": true, "thought_signature": null } }, { "Thinking": { "text": "Now I have a comprehensive understanding. Let me read the key files I'll need to modify directly.", "signature": null } }, { "ToolUse": { "id": "toolu_01R8N8eY5QAAQkGzCn89tmb3", "name": "Read packages/agent/src/auth/localhost-callback.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/localhost-callback.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/localhost-callback.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01GpiCWcY3rhcTSg1kFAyEge", "name": "Read packages/agent/src/cli/auth-login-command.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/auth-login-command.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/auth-login-command.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_013V9ei9R7vfkaXi3B3Trty5", "name": "Read packages/agent/src/auth/index.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/index.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/index.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01EDKTGGRNJF2chWdPed6mSa", "name": "Read packages/agent/src/auth/mock-auth-exchange.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/mock-auth-exchange.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/mock-auth-exchange.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_014mdUVfBBh162e6GKFC189n", "name": "Read README.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/README.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/README.md" }, "is_input_complete": true, "thought_signature": null } }, { "Thinking": { "text": "Now I have a clear picture. I need to:\n\n1. Create a callback server module that starts an HTTP server, listens for `/callback`, extracts `code` and `state`, validates state, and shuts down\n2. Wire the auth-login-command to start the callback server and connect success to the mock save flow\n3. Update the auth index to export the new module\n4. Update README minimally\n\nLet me create the callback server file and modify the auth-login-command.", "signature": null } }, { "Text": "이제 전체 구조를 파악했습니다. 작업을 시작합니다." }, { "ToolUse": { "id": "toolu_016x9K5efnadostTZ8fg56HJ", "name": "Write", "raw_input": "{}", "input": {}, "is_input_complete": false, "thought_signature": null } } ], "tool_results": { "toolu_01TXQ4LNLugw4R5GZ2RUPff4": { "tool_use_id": "toolu_01TXQ4LNLugw4R5GZ2RUPff4", "tool_name": "Explore auth module structure", "is_error": false, "content": { "Text": "[{\"type\":\"text\",\"text\":\"Perfect! Now I have all the information I need. Let me compile a comprehensive report.\\n\\n## Comprehensive Auth-Related Code Exploration Report\\n\\n### 1. Overall Project Structure\\n\\n**Top-level directories and files:**\\n- `/apps/` - Web and API applications (api/, web/)\\n- `/packages/` - Shared packages (agent/, shared/, provider-adapters/, schemas/)\\n- `/docs/` - Detailed architecture and auth documentation\\n- `/scripts/` - POC scripts\\n- Root `package.json` with workspace configuration and npm scripts for agent commands\\n- `README.md` - Main project documentation (in Korean, describing multi-provider AI usage dashboard)\\n\\n**Key npm scripts for agent:**\\n```\\nnpm run agent:status\\nnpm run agent:usage\\nnpm run agent:doctor\\nnpm run agent:config:init\\n```\\n\\n---\\n\\n### 2. All Auth-Related Files and Their Complete Contents\\n\\n#### Core Auth Store and Schema\\n**`/packages/agent/src/auth/auth-store-schema.js`**\\n- Defines `AUTH_STORE_VERSION = 1`\\n- Exports `AUTH_TYPES`: `'oauth', 'session_cookie', 'session_key', 'api_key', 'unknown'`\\n- Exports `CREDENTIAL_SOURCES`: `'agent-store', 'openclaw-import', 'env', 'manual'`\\n- Exports `ACCOUNT_STATUSES`: `'active', 'disabled'`\\n- Functions:\\n - `createEmptyAuthStore()` - Returns initial store structure with version and empty providers object\\n - `createAccount({accountKey, email, displayName, accountId, authType, source, status, scopes, tokens, raw})` - Factory for account objects with timestamps\\n\\n**`/packages/agent/src/auth/auth-store-path.js`**\\n- `resolveAuthStoreDir()` - Returns `~/.config/ai-usage-agent`\\n- `resolveAuthStorePath()` - Returns `~/.config/ai-usage-agent/auth.json`\\n\\n**`/packages/agent/src/auth/auth-store.js`**\\n- FILE_MODE: `0o600` (restricted permissions)\\n- `loadAuthStore()` - Reads from path, returns empty store if ENOENT, validates version\\n- `saveAuthStore(store)` - Writes to file with 0600 permissions, updates `updatedAt` timestamp\\n- `upsertProviderAccount(store, providerId, account)` - Creates provider entry if needed, inserts or updates account in provider.accounts array\\n\\n#### Account Resolution\\n**`/packages/agent/src/auth/account-resolver.js`**\\n- `resolveDefaultAccount(accounts)` - Selection logic:\\n - Returns `{account: null, reason: 'no-accounts'}` if empty\\n - Filters to active accounts (backward-compatible, treats missing status as active)\\n - Auto-selects single active account with reason `'single-account'`\\n - For multiple active accounts, sorts by `lastUsedAt` descending (most recent first), reason: `'most-recent'`\\n- `resolveAccountByIdentifier(accounts, identifier)` - Matches by email or accountKey\\n - Returns reason: `'not-found'`, `'account-disabled'`, or `'explicit-selection'`\\n- `resolveAccount(accounts, options)` - High-level wrapper combining explicit override + default fallback\\n\\n#### Localhost Callback OAuth Preparation\\n**`/packages/agent/src/auth/localhost-callback.js`**\\n- `generateState(bytes=32)` - Random 32-byte base64url string for OAuth state parameter\\n- `generatePkce(bytes=32)` - Generates PKCE challenge pair:\\n - Currently returns `codeVerifier` and `codeChallenge` as identical (placeholder for plain method)\\n - Comments indicate TODO: implement S256 hash, currently uses placeholder 'plain' method\\n- `buildCallbackUrl(port)` - Returns `http://127.0.0.1:{port}/callback`\\n- `prepareLocalhostCallback({preferredPort})` - Main orchestrator:\\n - Calls `resolveCallbackPort()` to find available port\\n - Generates state and PKCE parameters\\n - Returns `{ready: boolean, params: {port, callbackUrl, state, codeVerifier, codeChallenge, codeChallengeMethod}, reason: string|null, fallbackExhausted: boolean}`\\n - Returns ready=false with reason message if no port available\\n\\n#### Port Fallback Helper\\n**`/packages/agent/src/auth/port-fallback.js`**\\n- `DEFAULT_CALLBACK_PORT = 19876`\\n- `MAX_PORT_RETRIES = 3`\\n- `isPortAvailable(port)` - Returns Promise by creating temporary server on 127..." }, "output": [ { "type": "text", "text": "Perfect! Now I have all the information I need. Let me compile a comprehensive report.\n\n## Comprehensive Auth-Related Code Exploration Report\n\n### 1. Overall Project Structure\n\n**Top-level directories and files:**\n- `/apps/` - Web and API applications (api/, web/)\n- `/packages/` - Shared packages (agent/, shared/, provider-adapters/, schemas/)\n- `/docs/` - Detailed architecture and auth documentation\n- `/scripts/` - POC scripts\n- Root `package.json` with workspace configuration and npm scripts for agent commands\n- `README.md` - Main project documentation (in Korean, describing multi-provider AI usage dashboard)\n\n**Key npm scripts for agent:**\n```\nnpm run agent:status\nnpm run agent:usage\nnpm run agent:doctor\nnpm run agent:config:init\n```\n\n---\n\n### 2. All Auth-Related Files and Their Complete Contents\n\n#### Core Auth Store and Schema\n**`/packages/agent/src/auth/auth-store-schema.js`**\n- Defines `AUTH_STORE_VERSION = 1`\n- Exports `AUTH_TYPES`: `'oauth', 'session_cookie', 'session_key', 'api_key', 'unknown'`\n- Exports `CREDENTIAL_SOURCES`: `'agent-store', 'openclaw-import', 'env', 'manual'`\n- Exports `ACCOUNT_STATUSES`: `'active', 'disabled'`\n- Functions:\n - `createEmptyAuthStore()` - Returns initial store structure with version and empty providers object\n - `createAccount({accountKey, email, displayName, accountId, authType, source, status, scopes, tokens, raw})` - Factory for account objects with timestamps\n\n**`/packages/agent/src/auth/auth-store-path.js`**\n- `resolveAuthStoreDir()` - Returns `~/.config/ai-usage-agent`\n- `resolveAuthStorePath()` - Returns `~/.config/ai-usage-agent/auth.json`\n\n**`/packages/agent/src/auth/auth-store.js`**\n- FILE_MODE: `0o600` (restricted permissions)\n- `loadAuthStore()` - Reads from path, returns empty store if ENOENT, validates version\n- `saveAuthStore(store)` - Writes to file with 0600 permissions, updates `updatedAt` timestamp\n- `upsertProviderAccount(store, providerId, account)` - Creates provider entry if needed, inserts or updates account in provider.accounts array\n\n#### Account Resolution\n**`/packages/agent/src/auth/account-resolver.js`**\n- `resolveDefaultAccount(accounts)` - Selection logic:\n - Returns `{account: null, reason: 'no-accounts'}` if empty\n - Filters to active accounts (backward-compatible, treats missing status as active)\n - Auto-selects single active account with reason `'single-account'`\n - For multiple active accounts, sorts by `lastUsedAt` descending (most recent first), reason: `'most-recent'`\n- `resolveAccountByIdentifier(accounts, identifier)` - Matches by email or accountKey\n - Returns reason: `'not-found'`, `'account-disabled'`, or `'explicit-selection'`\n- `resolveAccount(accounts, options)` - High-level wrapper combining explicit override + default fallback\n\n#### Localhost Callback OAuth Preparation\n**`/packages/agent/src/auth/localhost-callback.js`**\n- `generateState(bytes=32)` - Random 32-byte base64url string for OAuth state parameter\n- `generatePkce(bytes=32)` - Generates PKCE challenge pair:\n - Currently returns `codeVerifier` and `codeChallenge` as identical (placeholder for plain method)\n - Comments indicate TODO: implement S256 hash, currently uses placeholder 'plain' method\n- `buildCallbackUrl(port)` - Returns `http://127.0.0.1:{port}/callback`\n- `prepareLocalhostCallback({preferredPort})` - Main orchestrator:\n - Calls `resolveCallbackPort()` to find available port\n - Generates state and PKCE parameters\n - Returns `{ready: boolean, params: {port, callbackUrl, state, codeVerifier, codeChallenge, codeChallengeMethod}, reason: string|null, fallbackExhausted: boolean}`\n - Returns ready=false with reason message if no port available\n\n#### Port Fallback Helper\n**`/packages/agent/src/auth/port-fallback.js`**\n- `DEFAULT_CALLBACK_PORT = 19876`\n- `MAX_PORT_RETRIES = 3`\n- `isPortAvailable(port)` - Returns Promise by creating temporary server on 127.0.0.1\n- `resolveCallbackPort({preferredPort})` - Port resolution with fallback policy:\n - If user specifies `--port`, tries only that port\n - Otherwise tries default port (19876) + 3 retries (19877, 19878, 19879)\n - Returns `{port: number|null, fallbackExhausted: boolean}`\n - Signals `fallbackExhausted=true` when all auto-retries fail (caller should switch to manual paste)\n\n#### Manual Paste Fallback\n**`/packages/agent/src/auth/manual-paste.js`**\n- `readManualPasteInput()` - Readline interface prompts user:\n - Accepts full callback URL or raw authorization code\n - Returns `{type: 'url'|'code', value: string, error?: string}`\n - Returns `error: 'empty-input'` if no input\n- `extractCodeFromPaste(pasteResult)` - Parses input:\n - If type='code', returns code as-is\n - If type='url', uses URL API to extract `code` and `state` query params\n - Returns `{code: string|null, state: string|null, error: string|null}`\n - Errors: `'no-code-in-url', 'invalid-url'`\n- Helper: `looksLikeUrl(input)` - Checks for `http://` or `https://` prefix\n\n#### Mock Auth Exchange\n**`/packages/agent/src/auth/mock-auth-exchange.js`**\n- `createMockCodexAccountFromManualInput({code, rawInput})` - Creates placeholder account for testing:\n - Sanitizes code (alphanumeric/underscore/dash, lowercase)\n - Generates fake email: `manual-{first-8-chars-of-code}@example.local`\n - Creates account with mock tokens: `mock-access-token-{suffix}`, `mock-refresh-token-{suffix}`\n - Sets source to 'manual', marks raw.mock=true with note explaining this is placeholder\n - Stores first 120 chars of rawInput in raw.manualInputPreview\n- Helper: `sanitizeCode(value)` - Strips non-alphanumeric characters\n\n#### Auth Module Index\n**`/packages/agent/src/auth/index.js`**\n- Barrel export for all auth modules\n\n---\n\n### 3. CLI Login Flow (auth login codex)\n\n**`/packages/agent/src/cli/auth-login-command.js`**\n\nMain flow in `runAuthLoginCommand(provider, args)`:\n\n**Entry validation:**\n- Requires provider argument (prints usage if missing)\n- Currently only supports 'codex' provider\n- Rejects `--device` flag (marked as future work)\n\n**Option parsing** via `parseLoginOptions(args)`:\n- `--no-open` - Skip browser auto-open\n- `--manual` - Force manual paste flow\n- `--device` - Device code flow (not implemented)\n- `--port ` - Specify callback port\n\n**Main flow (localhost callback):**\n1. Calls `prepareLocalhostCallback({preferredPort: options.port})`\n2. If not ready:\n - Prints reason (port unavailable message)\n - If `fallbackExhausted`, mentions intent to wire manual paste fallback\n - Returns early\n3. If ready:\n - Prints callback URL and selected port\n - States OAuth state/PKCE placeholder created\n - Notes actual browser login and token exchange not yet implemented\n - If `--no-open`, states browser auto-run will be skipped\n - Otherwise states intent to wire browser auto-open\n\n**Manual paste flow** via `runManualPasteFlow()`:\n1. Prints warning that this is placeholder, not actual OAuth\n2. Calls `readManualPasteInput()` to get user's pasted URL or code\n3. Calls `extractCodeFromPaste()` to parse it\n4. If error or no code: prints error and returns\n5. If successful:\n - Creates mock account via `createMockCodexAccountFromManualInput({code, rawInput})`\n - Loads current auth store\n - Upserts provider account 'openai-codex'\n - Saves to disk\n - Prints confirmation with accountKey\n\n---\n\n### 4. Auth Store, Account Resolver Details\n\n**Store Structure** (from schema docs and implementation):\n```json\n{\n \"version\": 1,\n \"updatedAt\": \"ISO-datetime\",\n \"providers\": {\n \"openai-codex\": {\n \"accounts\": [\n {\n \"accountKey\": \"openai-codex:email@example.com\",\n \"email\": \"email@example.com\",\n \"displayName\": null,\n \"accountId\": null,\n \"authType\": \"oauth\",\n \"source\": \"agent-store\",\n \"status\": \"active\",\n \"createdAt\": \"ISO-datetime\",\n \"updatedAt\": \"ISO-datetime\",\n \"lastUsedAt\": null,\n \"expiresAt\": null,\n \"scopes\": [],\n \"tokens\": {\n \"accessToken\": \"***\",\n \"refreshToken\": \"***\"\n },\n \"raw\": {\n \"provider\": \"openai-codex\"\n }\n }\n ]\n }\n }\n}\n```\n\n**Account Resolver Selection Rules** (documented and implemented):\n1. Single account → auto-select (reason: 'single-account')\n2. Multiple active accounts → select most-recent by lastUsedAt (reason: 'most-recent')\n3. All disabled → return null (reason: 'all-disabled')\n4. No accounts → return null (reason: 'no-accounts')\n5. Explicit override with --account → find by email/accountKey (reason: 'explicit-selection' or 'account-disabled'/'not-found')\n\n**Account Status Backward Compatibility:**\n- Accounts without status field treated as 'active' for filter purposes\n- Only accounts with status='active' or missing status included in active filter\n\n---\n\n### 5. Callback Server and Port Helper Code\n\n**Callback Server Lifecycle** (scaffolding only, not fully implemented):\n- Prepared via `prepareLocalhostCallback()`\n- Returns parameters needed to start server (port, callbackUrl, state, PKCE)\n- Actual server instantiation and request handling: not yet wired\n\n**Port Resolution Strategy:**\n1. User specifies `--port 38123` → Try only that port\n - Success: use it\n - Failure: error (no automatic fallback)\n2. No port specified → Try automatic fallback\n - Default: 19876\n - Retry 1: 19877\n - Retry 2: 19878\n - Retry 3: 19879\n - All fail: return null with `fallbackExhausted=true`\n\n**State and PKCE Generation:**\n- State: 32-byte random base64url (cryptographically secure)\n- PKCE code_verifier: 32-byte random base64url\n- PKCE code_challenge: Currently identical to verifier (placeholder)\n- Challenge method: 'plain' (placeholder, should be 'S256')\n\n---\n\n### 6. Manual Paste Fallback Flow\n\n**Entry Point:**\n- Triggered when:\n - User specifies `--manual` flag\n - Port fallback exhausts all retries and `fallbackExhausted=true`\n\n**User Input Acceptance:**\n- Prompt: \"콜백 URL 전체 또는 authorization code를 붙여넣으세요:\" (Paste full callback URL or authorization code)\n- Accepts either:\n - Full URL: `http://127.0.0.1:19876/callback?code=ABC123&state=XYZ789`\n - Raw code: `ABC123`\n\n**Input Parsing:**\n1. Trim whitespace\n2. Check if looks like URL (starts with `http://` or `https://`)\n3. If URL: parse with URL API, extract `code` and `state` query params\n4. If code string: use directly\n\n**Account Creation from Manual Input:**\n- Creates placeholder account (not real OAuth token exchange)\n- Email generated as `manual-{sanitized-code-prefix}@example.local`\n- Tokens are mocks: `mock-access-token-{suffix}`, `mock-refresh-token-{suffix}`\n- Raw metadata includes:\n - `mock: true`\n - `note: 実際のOAuth token exchangeではなくplaceholder保存結果`\n - `manualInputPreview: {first-120-chars}`\n\n**Storage:**\n- Upserts into auth store under 'openai-codex' provider\n- Marks source as 'manual'\n- Sets status to 'active' (default)\n- Saves to `~/.config/ai-usage-agent/auth.json` with 0600 permissions\n\n**Current State:**\n- Documented as \"placeholder/mock 저장이야\" (placeholder/mock storage)\n- Noted that actual OAuth token exchange still not implemented\n- Infrastructure ready for connecting to real OAuth exchange in next phase\n\n---\n\n### 7. README Content Summary\n\n**Project Overview:**\n- Dashboard integrating multiple AI service usage, quota windows, and availability status\n- Single unified view across providers (OpenAI Codex, Claude, etc.)\n- Hybrid architecture: local agent for session-dependent providers + backend pollers for stable endpoints\n\n**Architecture:**\n- **Local Agent** → Provider adapters, credential broker, event normalizer, SQLite, uploader\n- **Backend API** → Ingestion API, direct usage pollers, event store, state aggregator, dashboard API\n- **Web Dashboard** → Visual display\n\n**Current Implementation Status:**\n- Auth independence from OpenClaw in progress (documented in auth docs)\n- Implements:\n - Agent-specific `auth.json` store skeleton\n - Multi-account account resolver\n - `auth login codex` CLI skeleton\n - Localhost callback preparation code and port fallback scaffolding\n - Manual paste input handling with placeholder/mock storage flow\n - Codex live usage retrieval and output\n - Common snapshot schema-based output\n- Not yet implemented:\n - Claude adapter connection\n - `inspect ` detailed output\n - `sync` upload functionality\n - Formal formatter/table renderer\n - Schema validation\n\n**Security Principles:**\n- Refresh tokens / session cookies / sessionKeys not stored on server\n- Raw prompts/responses/transcripts not uploaded\n- Only normalized metadata uploaded to server\n- Auth store file: 0600 permissions\n- Callback server: localhost-only (127.0.0.1)\n- State validation required\n- PKCE recommended (currently placeholder)\n\n**Credential Source Abstraction:**\n- Priority: agent-store → env → openclaw-import (migration only)\n- OpenClaw dependency to be removed from runtime default path\n\n**Port Conflict Policy:**\n- Default: 19876\n- Automatic retries: 19877-19879 (3 attempts)\n- User-specified port: single attempt, error on failure\n- All retries exhausted: fall back to manual paste\n\n---\n\n### 8. Documentation Files\n\n**`/docs/auth-architecture.md`**\n- Details goal of independence from OpenClaw\n- Defines three auth flows: localhost callback (primary), manual paste (fallback 1), device code (fallback 2, lower priority)\n- Specifies provider adapter role in auth broker\n- Documents CLI commands (login, list, logout, doctor, import)\n- States phase status: architecture documented, store schema defined, CLI skeleton implemented, localhost callback prepared, manual paste placeholder done\n\n**`/docs/auth-cli.md`**\n- Defines CLI interface with subcommands: login, list, logout, doctor, import\n- Documents login options: `--no-open`, `--manual`, `--device`, `--port`\n- Example scenarios: desktop (automatic callback), SSH/remote (manual fallback)\n- Port conflict policy and multi-account selection rules\n\n**`/docs/auth-store-schema.md`**\n- Specifies store location: `~/.config/ai-usage-agent/auth.json`\n- Details account object structure with all field definitions\n- Discusses Options A (simple file storage) vs B (file + keychain)\n- Recommends initial MVP with `auth.json` + 0600, abstract to keychain backend later\n- Lists additional metadata candidates (lastRefreshAt, lastUsedAt, etc.)\n\n**`/docs/architecture.md`**\n- High-level overview: hybrid structure with local agent + backend pollers\n- Local agent: provider auth interpretation, self auth broker, local usage endpoint calling, event observation, buffering/upload\n- Auth layer: localhost callback OAuth → device code → manual paste, OpenClaw independence goal\n- Backend API: normalized event collection, optional direct polling, state aggregation\n- Web dashboard: overview, provider/account detail, timeline, health\n\n---\n\n### Project Technologies & Stack\n\nThis is a **Node.js/JavaScript (ES modules) project** with:\n- File I/O (fs/promises)\n- HTTP fetching (fetch API)\n- Readline CLI interaction\n- Net module for port detection\n- Crypto module for random state/code generation\n- JSON parsing/stringification for store persistence\n- No Ink framework mentioned in auth code (appears to be pure Node CLI with console output)\n\n---\n\n### Key Next Steps (from documentation)\n\n1. Implement localhost callback server skeleton (receive code/state)\n2. Wire callback code/state reception to token exchange\n3. Connect real provider token exchange to OAuth flow\n4. Implement Claude auth path and testing\n5. Dashboard MVP UI implementation\n6. Implement additional auth commands (list, logout, doctor, import)\n7. Device code fallback investigation (if provider support confirmed)\n8. Keychain integration (future enhancement)\n\n---\n\nThis auth implementation is **well-documented and architecturally sound**, with clear separation of concerns between store persistence, account resolution, callback preparation, and manual fallback flows. The current state represents a solid foundation ready for connecting actual OAuth token exchange and provider-specific authentication flows." } ] }, "toolu_014VXmmTybXYUYndijBkr2kc": { "tool_use_id": "toolu_014VXmmTybXYUYndijBkr2kc", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -maxdepth 2 -type f -name \"*.json\" -o -name \"*.md\" | head -20", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-store-schema.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/architecture.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-cli.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/provider-notes.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/README.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/pull_request_template.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/README.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/CONTRIBUTING.md" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-store-schema.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/architecture.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-cli.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/provider-notes.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/README.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/pull_request_template.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/README.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/CONTRIBUTING.md" }, "toolu_01ND2dYoPFEt57hHgLGVxD2Q": { "tool_use_id": "toolu_01ND2dYoPFEt57hHgLGVxD2Q", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/", "is_error": false, "content": { "Text": "total 52\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 12:30 .\ndrwxrwxr-x 24 lagoon3 lagoon3 4096 4월 13 12:12 ..\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 12 19:37 apps\n-rw-rw-r-- 1 lagoon3 lagoon3 3273 4월 12 19:47 CONTRIBUTING.md\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 12:30 docs\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 14:39 .git\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 12 19:47 .github\n-rw-rw-r-- 1 lagoon3 lagoon3 150 4월 12 19:37 .gitignore\n-rw-rw-r-- 1 lagoon3 lagoon3 778 4월 13 11:49 package.json\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 packages\n-rw-rw-r-- 1 lagoon3 lagoon3 4505 4월 13 14:38 README.md\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 12 19:37 scripts" }, "output": "total 52\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 12:30 .\ndrwxrwxr-x 24 lagoon3 lagoon3 4096 4월 13 12:12 ..\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 12 19:37 apps\n-rw-rw-r-- 1 lagoon3 lagoon3 3273 4월 12 19:47 CONTRIBUTING.md\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 12:30 docs\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 14:39 .git\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 12 19:47 .github\n-rw-rw-r-- 1 lagoon3 lagoon3 150 4월 12 19:37 .gitignore\n-rw-rw-r-- 1 lagoon3 lagoon3 778 4월 13 11:49 package.json\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 packages\n-rw-rw-r-- 1 lagoon3 lagoon3 4505 4월 13 14:38 README.md\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 12 19:37 scripts" }, "toolu_01S3UPvHtnrQgNVHComvstNf": { "tool_use_id": "toolu_01S3UPvHtnrQgNVHComvstNf", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/", "is_error": false, "content": { "Text": "total 28\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 .\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 12:30 ..\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 14:13 agent\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 13 07:11 provider-adapters\n-rw-rw-r-- 1 lagoon3 lagoon3 899 4월 13 12:15 README.md\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 12:06 schemas\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 shared" }, "output": "total 28\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 .\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 12:30 ..\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 14:13 agent\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 13 07:11 provider-adapters\n-rw-rw-r-- 1 lagoon3 lagoon3 899 4월 13 12:15 README.md\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 12:06 schemas\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 shared" }, "toolu_018B3Xgkw69P4d2WobRPEd97": { "tool_use_id": "toolu_018B3Xgkw69P4d2WobRPEd97", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps/", "is_error": false, "content": { "Text": "total 16\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 12 19:37 .\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 12:30 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 api\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 web" }, "output": "total 16\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 12 19:37 .\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 12:30 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 api\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 web" }, "toolu_014Ec74tYQ14tBEADDkzZASW": { "tool_use_id": "toolu_014Ec74tYQ14tBEADDkzZASW", "tool_name": "Find `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*auth*.ts`", "is_error": false, "content": { "Text": "No files found" }, "output": "No files found" }, "toolu_018Fv1LV7YXVXnoLsM2KJrPR": { "tool_use_id": "toolu_018Fv1LV7YXVXnoLsM2KJrPR", "tool_name": "Find `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*auth*.tsx`", "is_error": false, "content": { "Text": "No files found" }, "output": "No files found" }, "toolu_01XyCeMgtmBWGbJ2zoCMpto2": { "tool_use_id": "toolu_01XyCeMgtmBWGbJ2zoCMpto2", "tool_name": "Find `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*auth*.js`", "is_error": false, "content": { "Text": "packages/provider-adapters/src/codex/read-codex-auth-profiles.js\npackages/agent/src/auth/auth-store-path.js\npackages/agent/src/auth/auth-store-schema.js\npackages/agent/src/auth/mock-auth-exchange.js\npackages/agent/src/auth/auth-store.js\npackages/agent/src/cli/auth-login-command.js" }, "output": "packages/provider-adapters/src/codex/read-codex-auth-profiles.js\npackages/agent/src/auth/auth-store-path.js\npackages/agent/src/auth/auth-store-schema.js\npackages/agent/src/auth/mock-auth-exchange.js\npackages/agent/src/auth/auth-store.js\npackages/agent/src/cli/auth-login-command.js" }, "toolu_01VurvFxpo3rBVxGGAh67XHB": { "tool_use_id": "toolu_01VurvFxpo3rBVxGGAh67XHB", "tool_name": "Find `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*login*.ts`", "is_error": false, "content": { "Text": "No files found" }, "output": "No files found" }, "toolu_01CXX2cKWTQNePHxPP8pe5yz": { "tool_use_id": "toolu_01CXX2cKWTQNePHxPP8pe5yz", "tool_name": "Find `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*login*.tsx`", "is_error": false, "content": { "Text": "No files found" }, "output": "No files found" }, "toolu_017vB3RWfDraKXuM2ECKiWe1": { "tool_use_id": "toolu_017vB3RWfDraKXuM2ECKiWe1", "tool_name": "grep -l --include=\"**/*.ts\" \"store|callback|port|paste\" /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src", "is_error": false, "content": { "Text": "No files found" }, "output": "No files found" }, "toolu_015cy1HyirH4H1dooV5n3Ye1": { "tool_use_id": "toolu_015cy1HyirH4H1dooV5n3Ye1", "tool_name": "Find `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*resolver*.js`", "is_error": false, "content": { "Text": "packages/agent/src/auth/account-resolver.js" }, "output": "packages/agent/src/auth/account-resolver.js" }, "toolu_01QoYbsBrYpaMUivaK3hK5LB": { "tool_use_id": "toolu_01QoYbsBrYpaMUivaK3hK5LB", "tool_name": "Find `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*callback*.js`", "is_error": false, "content": { "Text": "packages/agent/src/auth/localhost-callback.js" }, "output": "packages/agent/src/auth/localhost-callback.js" }, "toolu_01BJxnpx3CGFkfqJ4St6dRti": { "tool_use_id": "toolu_01BJxnpx3CGFkfqJ4St6dRti", "tool_name": "Find `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*port*.js`", "is_error": false, "content": { "Text": "packages/agent/src/auth/port-fallback.js" }, "output": "packages/agent/src/auth/port-fallback.js" }, "toolu_013LJwcUr3tdeUM26NAxTtsD": { "tool_use_id": "toolu_013LJwcUr3tdeUM26NAxTtsD", "tool_name": "Find `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard` `**/*paste*.js`", "is_error": false, "content": { "Text": "packages/agent/src/auth/manual-paste.js" }, "output": "packages/agent/src/auth/manual-paste.js" }, "toolu_016JXJBYhRhYLebr3sPXQmKR": { "tool_use_id": "toolu_016JXJBYhRhYLebr3sPXQmKR", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth -type f -name \"*.js\" | sort", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/account-resolver.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/auth-store.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/auth-store-path.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/auth-store-schema.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/index.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/localhost-callback.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/manual-paste.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/mock-auth-exchange.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/port-fallback.js" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/account-resolver.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/auth-store.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/auth-store-path.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/auth-store-schema.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/index.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/localhost-callback.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/manual-paste.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/mock-auth-exchange.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/port-fallback.js" }, "toolu_01L98Q2ogq1XbCgd4aE9sBx8": { "tool_use_id": "toolu_01L98Q2ogq1XbCgd4aE9sBx8", "tool_name": "Read README.md", "is_error": false, "content": { "Text": "1\t# ai-usage-dashboard\n2\t\n3\t여러 AI 서비스의 사용량, quota window, 사용 가능 상태를 한곳에서 통합해서 보여주는 대시보드 프로젝트.\n4\t\n5\t## 목표\n6\t\n7\t이 프로젝트는 여러 AI 서비스의 다음 정보를 통합해서 보여주는 것을 목표로 한다.\n8\t\n9\t- 남은 quota / usage window\n10\t- reset 시각\n11\t- 현재 사용 가능 여부\n12\t- 최근 rate limit / usage limit / 인증 오류\n13\t- turn 단위 usage와 quota usage의 분리 표시\n14\t\n15\t## 핵심 방향\n16\t\n17\t이 프로젝트는 모든 provider를 단일 방식으로 처리하지 않는다.\n18\t\n19\t- 공식 API 또는 OAuth usage endpoint가 안정적인 provider는 서버에서 직접 조회\n20\t- 로컬 CLI 로그인 상태, 세션 쿠키, auth store 재사용이 필요한 provider는 로컬 에이전트 사용\n21\t- 최종적으로는 로컬 에이전트 + 서버 poller + 공통 정규화 계층 구조를 사용\n22\t\n23\t## 확인된 endpoint 예시\n24\t\n25\t- Codex: `https://chatgpt.com/backend-api/wham/usage`\n26\t- Claude OAuth: `https://api.anthropic.com/api/oauth/usage`\n27\t- Claude web fallback:\n28\t - `https://claude.ai/api/organizations`\n29\t - `https://claude.ai/api/organizations/{orgId}/usage`\n30\t\n31\t## 아키텍처 개요\n32\t\n33\t```text\n34\t[로컬 에이전트]\n35\t ├─ Provider Adapters\n36\t ├─ Credential Broker\n37\t ├─ Event Normalizer\n38\t ├─ Local SQLite\n39\t └─ Uploader\n40\t ↓\n41\t[백엔드 API]\n42\t ├─ Ingestion API\n43\t ├─ Direct Usage Pollers\n44\t ├─ Event Store\n45\t ├─ State Aggregator\n46\t └─ Dashboard API\n47\t ↓\n48\t[웹 대시보드]\n49\t```\n50\t\n51\t## 프로젝트 구조\n52\t\n53\t```text\n54\tapps/\n55\t web/\n56\t api/\n57\tpackages/\n58\t agent/\n59\t shared/\n60\t provider-adapters/\n61\t schemas/\n62\tdocs/\n63\t architecture.md\n64\t auth-architecture.md\n65\t auth-store-schema.md\n66\t auth-cli.md\n67\t provider-notes.md\n68\tscripts/\n69\t poc/\n70\t```\n71\t\n72\t## 초기 범위(MVP)\n73\t\n74\t- npm 설치형 로컬 에이전트 CLI 골격\n75\t- Codex adapter\n76\t- Claude adapter\n77\t- usage snapshot 수집\n78\t- 이벤트 정규화\n79\t- overview / timeline UI\n80\t- provider별 상태 버킷화\n81\t\n82\t## 상태 버킷 예시\n83\t\n84\t- `ok`\n85\t- `rate_limit`\n86\t- `usage_window`\n87\t- `billing`\n88\t- `auth`\n89\t- `overloaded`\n90\t- `unknown`\n91\t\n92\t## 작업 / 협업 규칙\n93\t\n94\t자세한 규칙은 `CONTRIBUTING.md`를 따른다. 요약은 아래와 같다.\n95\t\n96\t- 브랜치 흐름: `작업 브랜치 -> dev -> main`\n97\t- 커밋 형식: `type(scope): 한글 설명`\n98\t- PR 제목 형식: `[feat] 한글 요약`\n99\t- PR 본문은 기본적으로 한글로 작성\n100\t- 큰 변경은 문서와 예시 payload를 함께 갱신\n101\t\n102\t### 커밋 예시\n103\t\n104\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n105\t- `fix(web): overview 카드 reset 시각 포맷 오류 수정`\n106\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n107\t\n108\t## 보안 원칙\n109\t\n110\t- refresh token / session cookie / sessionKey는 서버에 저장하지 않음\n111\t- raw prompt / raw response / 전체 transcript 업로드 금지\n112\t- 서버에는 정규화된 메타데이터만 업로드\n113\t\n114\t## 에이전트 실행 예시\n115\t\n116\t프로젝트 루트에서 바로 실행 가능:\n117\t\n118\t```bash\n119\tnpm run agent:status\n120\tnpm run agent:usage\n121\tnpm run agent:doctor\n122\tnpm run agent:config:init\n123\t```\n124\t\n125\t## 공통 스키마 초안\n126\t\n127\t`packages/schemas`에 초기 JSON Schema 초안을 추가했다.\n128\t\n129\t- `usage-snapshot.schema.json`\n130\t- `usage-event.schema.json`\n131\t- `examples/codex-usage-snapshot.example.json`\n132\t- `examples/codex-auth-error.event.example.json`\n133\t\n134\t핵심 필드:\n135\t- `source`\n136\t- `authType`\n137\t- `confidence`\n138\t- `usageWindows`\n139\t- `status.bucket` / `reason.bucket`\n140\t\n141\t## 인증 독립화 설계 초안\n142\t\n143\tOpenClaw auth profile 의존을 제거하기 위한 계획 문서를 추가했다.\n144\t\n145\t- `docs/auth-architecture.md`\n146\t- `docs/auth-store-schema.md`\n147\t- `docs/auth-cli.md`\n148\t\n149\t현재 방향:\n150\t- 기본 auth 흐름: localhost callback OAuth\n151\t- fallback 1: manual paste / callback URL handoff\n152\t- device code는 필요 시점에 후순위로 조사\n153\t- 장기적으로는 agent 자체 auth store 사용\n154\t- OpenClaw import는 migration 보조 기능으로만 유지\n155\t\n156\t## 현재 auth 독립화 진행 상태\n157\t\n158\t현재까지 구현됨:\n159\t- agent 전용 `auth.json` store 골격\n160\t- multi-account account resolver\n161\t- `auth login codex` CLI 골격\n162\t- localhost callback 준비 코드와 포트 fallback 뼈대\n163\t- `auth login codex --manual` 입력 처리와 placeholder/mock store 저장 흐름\n164\t\n165\t## 다음 작업\n166\t\n167\t1. localhost callback 서버 골격 구현\n168\t2. callback code/state 수신 처리\n169\t3. placeholder token exchange를 callback 경로와 연결\n170\t4. 이후 실제 provider token exchange로 교체\n171\t5. Claude 인증 경로별 테스트 추가\n172\t6. 대시보드 MVP 화면 구성\n173\t\n174\t## 라이선스\n175\t\n176\t추후 결정\n177\t" }, "output": "1\t# ai-usage-dashboard\n2\t\n3\t여러 AI 서비스의 사용량, quota window, 사용 가능 상태를 한곳에서 통합해서 보여주는 대시보드 프로젝트.\n4\t\n5\t## 목표\n6\t\n7\t이 프로젝트는 여러 AI 서비스의 다음 정보를 통합해서 보여주는 것을 목표로 한다.\n8\t\n9\t- 남은 quota / usage window\n10\t- reset 시각\n11\t- 현재 사용 가능 여부\n12\t- 최근 rate limit / usage limit / 인증 오류\n13\t- turn 단위 usage와 quota usage의 분리 표시\n14\t\n15\t## 핵심 방향\n16\t\n17\t이 프로젝트는 모든 provider를 단일 방식으로 처리하지 않는다.\n18\t\n19\t- 공식 API 또는 OAuth usage endpoint가 안정적인 provider는 서버에서 직접 조회\n20\t- 로컬 CLI 로그인 상태, 세션 쿠키, auth store 재사용이 필요한 provider는 로컬 에이전트 사용\n21\t- 최종적으로는 로컬 에이전트 + 서버 poller + 공통 정규화 계층 구조를 사용\n22\t\n23\t## 확인된 endpoint 예시\n24\t\n25\t- Codex: `https://chatgpt.com/backend-api/wham/usage`\n26\t- Claude OAuth: `https://api.anthropic.com/api/oauth/usage`\n27\t- Claude web fallback:\n28\t - `https://claude.ai/api/organizations`\n29\t - `https://claude.ai/api/organizations/{orgId}/usage`\n30\t\n31\t## 아키텍처 개요\n32\t\n33\t```text\n34\t[로컬 에이전트]\n35\t ├─ Provider Adapters\n36\t ├─ Credential Broker\n37\t ├─ Event Normalizer\n38\t ├─ Local SQLite\n39\t └─ Uploader\n40\t ↓\n41\t[백엔드 API]\n42\t ├─ Ingestion API\n43\t ├─ Direct Usage Pollers\n44\t ├─ Event Store\n45\t ├─ State Aggregator\n46\t └─ Dashboard API\n47\t ↓\n48\t[웹 대시보드]\n49\t```\n50\t\n51\t## 프로젝트 구조\n52\t\n53\t```text\n54\tapps/\n55\t web/\n56\t api/\n57\tpackages/\n58\t agent/\n59\t shared/\n60\t provider-adapters/\n61\t schemas/\n62\tdocs/\n63\t architecture.md\n64\t auth-architecture.md\n65\t auth-store-schema.md\n66\t auth-cli.md\n67\t provider-notes.md\n68\tscripts/\n69\t poc/\n70\t```\n71\t\n72\t## 초기 범위(MVP)\n73\t\n74\t- npm 설치형 로컬 에이전트 CLI 골격\n75\t- Codex adapter\n76\t- Claude adapter\n77\t- usage snapshot 수집\n78\t- 이벤트 정규화\n79\t- overview / timeline UI\n80\t- provider별 상태 버킷화\n81\t\n82\t## 상태 버킷 예시\n83\t\n84\t- `ok`\n85\t- `rate_limit`\n86\t- `usage_window`\n87\t- `billing`\n88\t- `auth`\n89\t- `overloaded`\n90\t- `unknown`\n91\t\n92\t## 작업 / 협업 규칙\n93\t\n94\t자세한 규칙은 `CONTRIBUTING.md`를 따른다. 요약은 아래와 같다.\n95\t\n96\t- 브랜치 흐름: `작업 브랜치 -> dev -> main`\n97\t- 커밋 형식: `type(scope): 한글 설명`\n98\t- PR 제목 형식: `[feat] 한글 요약`\n99\t- PR 본문은 기본적으로 한글로 작성\n100\t- 큰 변경은 문서와 예시 payload를 함께 갱신\n101\t\n102\t### 커밋 예시\n103\t\n104\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n105\t- `fix(web): overview 카드 reset 시각 포맷 오류 수정`\n106\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n107\t\n108\t## 보안 원칙\n109\t\n110\t- refresh token / session cookie / sessionKey는 서버에 저장하지 않음\n111\t- raw prompt / raw response / 전체 transcript 업로드 금지\n112\t- 서버에는 정규화된 메타데이터만 업로드\n113\t\n114\t## 에이전트 실행 예시\n115\t\n116\t프로젝트 루트에서 바로 실행 가능:\n117\t\n118\t```bash\n119\tnpm run agent:status\n120\tnpm run agent:usage\n121\tnpm run agent:doctor\n122\tnpm run agent:config:init\n123\t```\n124\t\n125\t## 공통 스키마 초안\n126\t\n127\t`packages/schemas`에 초기 JSON Schema 초안을 추가했다.\n128\t\n129\t- `usage-snapshot.schema.json`\n130\t- `usage-event.schema.json`\n131\t- `examples/codex-usage-snapshot.example.json`\n132\t- `examples/codex-auth-error.event.example.json`\n133\t\n134\t핵심 필드:\n135\t- `source`\n136\t- `authType`\n137\t- `confidence`\n138\t- `usageWindows`\n139\t- `status.bucket` / `reason.bucket`\n140\t\n141\t## 인증 독립화 설계 초안\n142\t\n143\tOpenClaw auth profile 의존을 제거하기 위한 계획 문서를 추가했다.\n144\t\n145\t- `docs/auth-architecture.md`\n146\t- `docs/auth-store-schema.md`\n147\t- `docs/auth-cli.md`\n148\t\n149\t현재 방향:\n150\t- 기본 auth 흐름: localhost callback OAuth\n151\t- fallback 1: manual paste / callback URL handoff\n152\t- device code는 필요 시점에 후순위로 조사\n153\t- 장기적으로는 agent 자체 auth store 사용\n154\t- OpenClaw import는 migration 보조 기능으로만 유지\n155\t\n156\t## 현재 auth 독립화 진행 상태\n157\t\n158\t현재까지 구현됨:\n159\t- agent 전용 `auth.json` store 골격\n160\t- multi-account account resolver\n161\t- `auth login codex` CLI 골격\n162\t- localhost callback 준비 코드와 포트 fallback 뼈대\n163\t- `auth login codex --manual` 입력 처리와 placeholder/mock store 저장 흐름\n164\t\n165\t## 다음 작업\n166\t\n167\t1. localhost callback 서버 골격 구현\n168\t2. callback code/state 수신 처리\n169\t3. placeholder token exchange를 callback 경로와 연결\n170\t4. 이후 실제 provider token exchange로 교체\n171\t5. Claude 인증 경로별 테스트 추가\n172\t6. 대시보드 MVP 화면 구성\n173\t\n174\t## 라이선스\n175\t\n176\t추후 결정\n177\t" }, "toolu_01BFd2TfLuouF6TXsZ5BpaQF": { "tool_use_id": "toolu_01BFd2TfLuouF6TXsZ5BpaQF", "tool_name": "Read docs/auth-architecture.md", "is_error": false, "content": { "Text": "1\t# 인증 독립화 아키텍처\n2\t\n3\t## 목표\n4\t\n5\t`ai-usage-agent`가 OpenClaw의 `auth-profiles.json` 없이도 독립적으로 인증, 토큰 저장, 갱신, 사용을 처리할 수 있게 한다.\n6\t\n7\t## 현재 문제\n8\t\n9\t현재 Codex adapter는 OpenClaw auth store를 직접 읽는다.\n10\t\n11\t- 결합도가 높음\n12\t- OpenClaw 미설치 환경에서 단독 동작 불가\n13\t- 향후 배포형 CLI 패키지로 사용할 때 UX가 제한됨\n14\t\n15\t## 목표 상태\n16\t\n17\t로컬 에이전트가 자체 auth broker를 가진다.\n18\t\n19\t```text\n20\t[ai-usage-agent CLI]\n21\t ├─ Auth Commands\n22\t ├─ Auth Broker\n23\t │ ├─ OAuth localhost callback flow\n24\t │ ├─ Manual callback/paste fallback\n25\t │ └─ Device code fallback (후순위)\n26\t ├─ Credential Store\n27\t ├─ Provider Adapters\n28\t └─ Usage / Event Pipeline\n29\t```\n30\t\n31\t## 권장 인증 흐름\n32\t\n33\t### 1. 기본: localhost callback OAuth\n34\t\n35\t기본 경로는 브라우저 로그인 + localhost callback 방식이다.\n36\t\n37\t흐름:\n38\t1. `ai-usage-agent auth login codex`\n39\t2. 로컬 임시 서버 실행 (`127.0.0.1` 기반)\n40\t3. PKCE/state 생성\n41\t4. 로그인 URL 생성 후 브라우저 열기\n42\t5. 사용자가 로그인 완료\n43\t6. provider가 localhost callback으로 code 전달\n44\t7. agent가 token exchange 수행\n45\t8. access/refresh token을 자체 저장소에 저장\n46\t\n47\t장점:\n48\t- UX가 가장 자연스러움\n49\t- 사용자가 기존 웹 로그인 흐름에 익숙함\n50\t- refresh token 기반 재사용 설계가 쉬움\n51\t\n52\t### 2. 우선 fallback: manual paste\n53\t\n54\t현 시점 우선 fallback은 manual paste 방식이다.\n55\t\n56\t지원해야 할 흐름:\n57\t- callback URL 전체를 붙여넣기\n58\t- authorization code를 수동 입력\n59\t- 브라우저는 사용자 쪽에서 직접 열기 (`--no-open`)\n60\t\n61\t이 방식이면 localhost callback이 실패하는 데스크톱/SSH 환경도 우선 커버할 수 있다.\n62\t\n63\t### 3. 후순위 조사: device code flow\n64\t\n65\tprovider가 device code를 안정적으로 지원하는지 확인되면 이후 단계에서 추가한다.\n66\t\n67\t현재는 구현 우선순위를 낮춘다.\n68\t\n69\t## Credential Source 추상화\n70\t\n71\t현재의 OpenClaw reader는 최종 형태가 아니라 migration source 중 하나로 내려가야 한다.\n72\t\n73\t권장 추상화:\n74\t- `agent-store`\n75\t- `openclaw-import`\n76\t- `env`\n77\t- `manual`\n78\t\n79\t기본 우선순위:\n80\t1. `agent-store`\n81\t2. `env`\n82\t3. `openclaw-import` (명시적 import 또는 migration 용도)\n83\t\n84\t즉 런타임 기본 경로는 OpenClaw 의존이 아니어야 한다.\n85\t\n86\t## 저장소 설계 원칙\n87\t\n88\t- normalized auth metadata와 민감 토큰은 논리적으로 분리 가능해야 함\n89\t- 초기 버전은 `auth.json` + `0600` 파일 저장으로 시작\n90\t- 이후 keychain으로 확장 가능해야 함\n91\t- 서버로 refresh token / session cookie / sessionKey 업로드 금지\n92\t\n93\t## 보안 원칙\n94\t\n95\t- callback 서버는 기본적으로 `127.0.0.1`에만 bind\n96\t- state 검증 필수\n97\t- PKCE 사용 권장\n98\t- refresh token은 필요 최소 범위로 저장\n99\t- 로그에 access token / refresh token 출력 금지\n100\t- raw provider 응답에서 민감 auth 값은 저장 금지\n101\t\n102\t## Provider adapter 역할\n103\t\n104\tauth broker는 공통이지만, provider별 전략은 adapter가 정의한다.\n105\t\n106\t예:\n107\t- auth URL 생성 규칙\n108\t- token exchange endpoint\n109\t- refresh endpoint\n110\t- 지원 가능한 fallback 종류\n111\t- account 식별 방식\n112\t\n113\t## CLI와의 연결\n114\t\n115\t예상 명령:\n116\t- `ai-usage-agent auth login codex`\n117\t- `ai-usage-agent auth list`\n118\t- `ai-usage-agent auth logout codex`\n119\t- `ai-usage-agent auth doctor`\n120\t- `ai-usage-agent auth import openclaw`\n121\t\n122\t## 단계별 구현 제안\n123\t\n124\t### Phase 1\n125\t- auth architecture 문서화\n126\t- credential store schema 정의\n127\t- CLI 인터페이스 초안 정의\n128\t\n129\t### 현재까지 반영된 골격\n130\t- auth store 저장/조회 로직 구현\n131\t- multi-account resolver 구현\n132\t- `auth login codex` CLI 골격 구현\n133\t- localhost callback 준비 코드 및 포트 fallback 뼈대 구현\n134\t- manual paste fallback의 placeholder/mock 저장 흐름 구현\n135\t\n136\t### 다음 단계\n137\t- localhost callback 서버 골격 구현\n138\t- callback code/state 수신 처리\n139\t- placeholder token exchange를 callback 경로와 연결\n140\t- 이후 실제 provider token exchange로 교체\n141\t- `auth list/logout/doctor` 및 `auth import openclaw` 확장\n142\t\n143\t### 후순위 단계\n144\t- device code fallback 조사/도입\n145\t- keychain 연동\n146\t\n147\t## 현재 확정된 운영 방안\n148\t\n149\t- 토큰 저장은 초기 버전에서 `auth.json` + `0600`으로 시작\n150\t- device code는 후순위 조사 항목으로 둠\n151\t- multi-account는 `lastUsedAt` 자동 선택 + `--account` override 사용\n152\t- callback 포트 충돌 시 기본 포트부터 최대 3회 대체 포트 시도 후 manual paste로 전환\n153\t" }, "output": "1\t# 인증 독립화 아키텍처\n2\t\n3\t## 목표\n4\t\n5\t`ai-usage-agent`가 OpenClaw의 `auth-profiles.json` 없이도 독립적으로 인증, 토큰 저장, 갱신, 사용을 처리할 수 있게 한다.\n6\t\n7\t## 현재 문제\n8\t\n9\t현재 Codex adapter는 OpenClaw auth store를 직접 읽는다.\n10\t\n11\t- 결합도가 높음\n12\t- OpenClaw 미설치 환경에서 단독 동작 불가\n13\t- 향후 배포형 CLI 패키지로 사용할 때 UX가 제한됨\n14\t\n15\t## 목표 상태\n16\t\n17\t로컬 에이전트가 자체 auth broker를 가진다.\n18\t\n19\t```text\n20\t[ai-usage-agent CLI]\n21\t ├─ Auth Commands\n22\t ├─ Auth Broker\n23\t │ ├─ OAuth localhost callback flow\n24\t │ ├─ Manual callback/paste fallback\n25\t │ └─ Device code fallback (후순위)\n26\t ├─ Credential Store\n27\t ├─ Provider Adapters\n28\t └─ Usage / Event Pipeline\n29\t```\n30\t\n31\t## 권장 인증 흐름\n32\t\n33\t### 1. 기본: localhost callback OAuth\n34\t\n35\t기본 경로는 브라우저 로그인 + localhost callback 방식이다.\n36\t\n37\t흐름:\n38\t1. `ai-usage-agent auth login codex`\n39\t2. 로컬 임시 서버 실행 (`127.0.0.1` 기반)\n40\t3. PKCE/state 생성\n41\t4. 로그인 URL 생성 후 브라우저 열기\n42\t5. 사용자가 로그인 완료\n43\t6. provider가 localhost callback으로 code 전달\n44\t7. agent가 token exchange 수행\n45\t8. access/refresh token을 자체 저장소에 저장\n46\t\n47\t장점:\n48\t- UX가 가장 자연스러움\n49\t- 사용자가 기존 웹 로그인 흐름에 익숙함\n50\t- refresh token 기반 재사용 설계가 쉬움\n51\t\n52\t### 2. 우선 fallback: manual paste\n53\t\n54\t현 시점 우선 fallback은 manual paste 방식이다.\n55\t\n56\t지원해야 할 흐름:\n57\t- callback URL 전체를 붙여넣기\n58\t- authorization code를 수동 입력\n59\t- 브라우저는 사용자 쪽에서 직접 열기 (`--no-open`)\n60\t\n61\t이 방식이면 localhost callback이 실패하는 데스크톱/SSH 환경도 우선 커버할 수 있다.\n62\t\n63\t### 3. 후순위 조사: device code flow\n64\t\n65\tprovider가 device code를 안정적으로 지원하는지 확인되면 이후 단계에서 추가한다.\n66\t\n67\t현재는 구현 우선순위를 낮춘다.\n68\t\n69\t## Credential Source 추상화\n70\t\n71\t현재의 OpenClaw reader는 최종 형태가 아니라 migration source 중 하나로 내려가야 한다.\n72\t\n73\t권장 추상화:\n74\t- `agent-store`\n75\t- `openclaw-import`\n76\t- `env`\n77\t- `manual`\n78\t\n79\t기본 우선순위:\n80\t1. `agent-store`\n81\t2. `env`\n82\t3. `openclaw-import` (명시적 import 또는 migration 용도)\n83\t\n84\t즉 런타임 기본 경로는 OpenClaw 의존이 아니어야 한다.\n85\t\n86\t## 저장소 설계 원칙\n87\t\n88\t- normalized auth metadata와 민감 토큰은 논리적으로 분리 가능해야 함\n89\t- 초기 버전은 `auth.json` + `0600` 파일 저장으로 시작\n90\t- 이후 keychain으로 확장 가능해야 함\n91\t- 서버로 refresh token / session cookie / sessionKey 업로드 금지\n92\t\n93\t## 보안 원칙\n94\t\n95\t- callback 서버는 기본적으로 `127.0.0.1`에만 bind\n96\t- state 검증 필수\n97\t- PKCE 사용 권장\n98\t- refresh token은 필요 최소 범위로 저장\n99\t- 로그에 access token / refresh token 출력 금지\n100\t- raw provider 응답에서 민감 auth 값은 저장 금지\n101\t\n102\t## Provider adapter 역할\n103\t\n104\tauth broker는 공통이지만, provider별 전략은 adapter가 정의한다.\n105\t\n106\t예:\n107\t- auth URL 생성 규칙\n108\t- token exchange endpoint\n109\t- refresh endpoint\n110\t- 지원 가능한 fallback 종류\n111\t- account 식별 방식\n112\t\n113\t## CLI와의 연결\n114\t\n115\t예상 명령:\n116\t- `ai-usage-agent auth login codex`\n117\t- `ai-usage-agent auth list`\n118\t- `ai-usage-agent auth logout codex`\n119\t- `ai-usage-agent auth doctor`\n120\t- `ai-usage-agent auth import openclaw`\n121\t\n122\t## 단계별 구현 제안\n123\t\n124\t### Phase 1\n125\t- auth architecture 문서화\n126\t- credential store schema 정의\n127\t- CLI 인터페이스 초안 정의\n128\t\n129\t### 현재까지 반영된 골격\n130\t- auth store 저장/조회 로직 구현\n131\t- multi-account resolver 구현\n132\t- `auth login codex` CLI 골격 구현\n133\t- localhost callback 준비 코드 및 포트 fallback 뼈대 구현\n134\t- manual paste fallback의 placeholder/mock 저장 흐름 구현\n135\t\n136\t### 다음 단계\n137\t- localhost callback 서버 골격 구현\n138\t- callback code/state 수신 처리\n139\t- placeholder token exchange를 callback 경로와 연결\n140\t- 이후 실제 provider token exchange로 교체\n141\t- `auth list/logout/doctor` 및 `auth import openclaw` 확장\n142\t\n143\t### 후순위 단계\n144\t- device code fallback 조사/도입\n145\t- keychain 연동\n146\t\n147\t## 현재 확정된 운영 방안\n148\t\n149\t- 토큰 저장은 초기 버전에서 `auth.json` + `0600`으로 시작\n150\t- device code는 후순위 조사 항목으로 둠\n151\t- multi-account는 `lastUsedAt` 자동 선택 + `--account` override 사용\n152\t- callback 포트 충돌 시 기본 포트부터 최대 3회 대체 포트 시도 후 manual paste로 전환\n153\t" }, "toolu_01QiJa7QmfeXAToaHsyfevu4": { "tool_use_id": "toolu_01QiJa7QmfeXAToaHsyfevu4", "tool_name": "Read docs/auth-cli.md", "is_error": false, "content": { "Text": "1\t# Auth CLI 인터페이스 초안\n2\t\n3\t## 목표\n4\t\n5\t`ai-usage-agent`가 OpenClaw 없이도 자체 인증을 수행할 수 있도록 auth 관련 CLI 명령 집합을 정의한다.\n6\t\n7\t## 기본 명령 구조\n8\t\n9\t```text\n10\tai-usage-agent auth [provider] [options]\n11\t```\n12\t\n13\t## 우선 구현 후보\n14\t\n15\t### 1. login\n16\t\n17\t```bash\n18\tai-usage-agent auth login codex\n19\t```\n20\t\n21\t현재 구현 상태:\n22\t- localhost callback 준비 코드까지 동작\n23\t- 브라우저 자동 열기와 실제 token exchange는 아직 미구현\n24\t- `--manual`에서는 placeholder/mock 저장 흐름이 동작\n25\t\n26\t옵션 예시:\n27\t\n28\t```bash\n29\tai-usage-agent auth login codex --no-open\n30\tai-usage-agent auth login codex --manual\n31\tai-usage-agent auth login codex --device\n32\tai-usage-agent auth login codex --port 38123\n33\t```\n34\t\n35\t옵션 의미:\n36\t- `--no-open`: 브라우저 자동 실행 안 함\n37\t- `--manual`: callback URL 또는 code 수동 입력 흐름 강제\n38\t- `--device`: 후순위 실험용 옵션, provider 지원 확인 전까지는 기본 경로로 사용하지 않음\n39\t- `--port`: localhost callback 포트 지정\n40\t\n41\t### 2. list\n42\t\n43\t```bash\n44\tai-usage-agent auth list\n45\tai-usage-agent auth list codex\n46\t```\n47\t\n48\t출력 예시:\n49\t- provider\n50\t- accountKey\n51\t- email\n52\t- authType\n53\t- expiresAt\n54\t- source\n55\t\n56\t### 3. logout\n57\t\n58\t```bash\n59\tai-usage-agent auth logout codex\n60\tai-usage-agent auth logout codex --account choonarm3@gmail.com\n61\t```\n62\t\n63\t동작:\n64\t- 저장소에서 해당 계정 제거\n65\t- 필요 시 revoke endpoint 지원 가능\n66\t\n67\t### 4. doctor\n68\t\n69\t```bash\n70\tai-usage-agent auth doctor\n71\tai-usage-agent auth doctor codex\n72\t```\n73\t\n74\t점검 항목:\n75\t- auth store 존재 여부\n76\t- provider 계정 존재 여부\n77\t- expiresAt 만료 여부\n78\t- refresh 가능 여부\n79\t- callback 포트/환경 문제 힌트\n80\t- 현재 기본 선택될 계정이 무엇인지\n81\t\n82\t### 5. import\n83\t\n84\t```bash\n85\tai-usage-agent auth import openclaw\n86\t```\n87\t\n88\t목적:\n89\t- 기존 OpenClaw 사용자의 migration 지원\n90\t- 런타임 기본 의존이 아니라 초기 전환 도구로만 제공\n91\t\n92\t## 추천 UX 원칙\n93\t\n94\t- 기본 명령은 최대한 짧게\n95\t- 세부 제어는 옵션으로 열기\n96\t- 실패 시 단순한 에러 대신 다음 행동을 안내\n97\t- headless 환경을 위한 fallback 경로를 명확히 제공\n98\t- multi-account는 자동 선택 + 명시 override 방식으로 단순하게 유지\n99\t\n100\t## 예시 시나리오\n101\t\n102\t### 일반 데스크톱 환경\n103\t\n104\t```bash\n105\tai-usage-agent auth login codex\n106\t```\n107\t\n108\t출력:\n109\t1. 브라우저를 여는 중...\n110\t2. 로그인 완료 후 callback 수신 대기...\n111\t3. 저장 완료\n112\t\n113\t### SSH / 원격 환경\n114\t\n115\t```bash\n116\tai-usage-agent auth login codex --manual --no-open\n117\t```\n118\t\n119\t현재 출력/동작:\n120\t1. callback URL 전체 또는 code 입력 요청\n121\t2. placeholder/mock 계정을 auth store에 저장\n122\t3. 실제 OAuth 교환은 아직 수행하지 않음\n123\t\n124\t## 포트 충돌 정책\n125\t\n126\t- 기본 포트는 예: `19876`\n127\t- 포트 충돌 시 `19877`, `19878` 순으로 최대 3회 자동 재시도\n128\t- 3회 모두 실패하면 manual paste 모드로 자동 전환\n129\t- 사용자가 `--port`를 명시한 경우는 해당 포트만 시도하고 실패 시 에러 반환\n130\t\n131\t## multi-account 정책\n132\t\n133\t- 계정이 1개면 자동 선택\n134\t- 계정이 여러 개면 `lastUsedAt`이 가장 최근인 active 계정 사용\n135\t- `--account`로 명시 지정 가능\n136\t\n137\t## 아직 미정인 부분\n138\t\n139\t- revoke endpoint를 각 provider에서 어디까지 지원할지\n140\t- `auth import openclaw`를 기본 노출할지 숨길지\n141\t- device code를 실제로 도입할 provider 범위\n142\t" }, "output": "1\t# Auth CLI 인터페이스 초안\n2\t\n3\t## 목표\n4\t\n5\t`ai-usage-agent`가 OpenClaw 없이도 자체 인증을 수행할 수 있도록 auth 관련 CLI 명령 집합을 정의한다.\n6\t\n7\t## 기본 명령 구조\n8\t\n9\t```text\n10\tai-usage-agent auth [provider] [options]\n11\t```\n12\t\n13\t## 우선 구현 후보\n14\t\n15\t### 1. login\n16\t\n17\t```bash\n18\tai-usage-agent auth login codex\n19\t```\n20\t\n21\t현재 구현 상태:\n22\t- localhost callback 준비 코드까지 동작\n23\t- 브라우저 자동 열기와 실제 token exchange는 아직 미구현\n24\t- `--manual`에서는 placeholder/mock 저장 흐름이 동작\n25\t\n26\t옵션 예시:\n27\t\n28\t```bash\n29\tai-usage-agent auth login codex --no-open\n30\tai-usage-agent auth login codex --manual\n31\tai-usage-agent auth login codex --device\n32\tai-usage-agent auth login codex --port 38123\n33\t```\n34\t\n35\t옵션 의미:\n36\t- `--no-open`: 브라우저 자동 실행 안 함\n37\t- `--manual`: callback URL 또는 code 수동 입력 흐름 강제\n38\t- `--device`: 후순위 실험용 옵션, provider 지원 확인 전까지는 기본 경로로 사용하지 않음\n39\t- `--port`: localhost callback 포트 지정\n40\t\n41\t### 2. list\n42\t\n43\t```bash\n44\tai-usage-agent auth list\n45\tai-usage-agent auth list codex\n46\t```\n47\t\n48\t출력 예시:\n49\t- provider\n50\t- accountKey\n51\t- email\n52\t- authType\n53\t- expiresAt\n54\t- source\n55\t\n56\t### 3. logout\n57\t\n58\t```bash\n59\tai-usage-agent auth logout codex\n60\tai-usage-agent auth logout codex --account choonarm3@gmail.com\n61\t```\n62\t\n63\t동작:\n64\t- 저장소에서 해당 계정 제거\n65\t- 필요 시 revoke endpoint 지원 가능\n66\t\n67\t### 4. doctor\n68\t\n69\t```bash\n70\tai-usage-agent auth doctor\n71\tai-usage-agent auth doctor codex\n72\t```\n73\t\n74\t점검 항목:\n75\t- auth store 존재 여부\n76\t- provider 계정 존재 여부\n77\t- expiresAt 만료 여부\n78\t- refresh 가능 여부\n79\t- callback 포트/환경 문제 힌트\n80\t- 현재 기본 선택될 계정이 무엇인지\n81\t\n82\t### 5. import\n83\t\n84\t```bash\n85\tai-usage-agent auth import openclaw\n86\t```\n87\t\n88\t목적:\n89\t- 기존 OpenClaw 사용자의 migration 지원\n90\t- 런타임 기본 의존이 아니라 초기 전환 도구로만 제공\n91\t\n92\t## 추천 UX 원칙\n93\t\n94\t- 기본 명령은 최대한 짧게\n95\t- 세부 제어는 옵션으로 열기\n96\t- 실패 시 단순한 에러 대신 다음 행동을 안내\n97\t- headless 환경을 위한 fallback 경로를 명확히 제공\n98\t- multi-account는 자동 선택 + 명시 override 방식으로 단순하게 유지\n99\t\n100\t## 예시 시나리오\n101\t\n102\t### 일반 데스크톱 환경\n103\t\n104\t```bash\n105\tai-usage-agent auth login codex\n106\t```\n107\t\n108\t출력:\n109\t1. 브라우저를 여는 중...\n110\t2. 로그인 완료 후 callback 수신 대기...\n111\t3. 저장 완료\n112\t\n113\t### SSH / 원격 환경\n114\t\n115\t```bash\n116\tai-usage-agent auth login codex --manual --no-open\n117\t```\n118\t\n119\t현재 출력/동작:\n120\t1. callback URL 전체 또는 code 입력 요청\n121\t2. placeholder/mock 계정을 auth store에 저장\n122\t3. 실제 OAuth 교환은 아직 수행하지 않음\n123\t\n124\t## 포트 충돌 정책\n125\t\n126\t- 기본 포트는 예: `19876`\n127\t- 포트 충돌 시 `19877`, `19878` 순으로 최대 3회 자동 재시도\n128\t- 3회 모두 실패하면 manual paste 모드로 자동 전환\n129\t- 사용자가 `--port`를 명시한 경우는 해당 포트만 시도하고 실패 시 에러 반환\n130\t\n131\t## multi-account 정책\n132\t\n133\t- 계정이 1개면 자동 선택\n134\t- 계정이 여러 개면 `lastUsedAt`이 가장 최근인 active 계정 사용\n135\t- `--account`로 명시 지정 가능\n136\t\n137\t## 아직 미정인 부분\n138\t\n139\t- revoke endpoint를 각 provider에서 어디까지 지원할지\n140\t- `auth import openclaw`를 기본 노출할지 숨길지\n141\t- device code를 실제로 도입할 provider 범위\n142\t" }, "toolu_015PdM4A7Bjkf2NBcSUHjfod": { "tool_use_id": "toolu_015PdM4A7Bjkf2NBcSUHjfod", "tool_name": "Read docs/auth-store-schema.md", "is_error": false, "content": { "Text": "1\t# 인증 저장소 스키마 초안\n2\t\n3\t## 목표\n4\t\n5\t`ai-usage-agent` 전용 credential store의 구조를 정의한다.\n6\t\n7\t이 스키마는 OpenClaw auth store와 분리된 독립 저장소를 전제로 한다.\n8\t\n9\t## 저장 위치 제안\n10\t\n11\t기본 경로:\n12\t\n13\t```text\n14\t~/.config/ai-usage-agent/auth.json\n15\t```\n16\t\n17\t현재 기본 방안:\n18\t- 민감 토큰 포함 `auth.json` 파일 저장으로 시작\n19\t- 파일 권한은 `0600`을 기본으로 사용\n20\t\n21\t향후 확장:\n22\t- OS keychain 저장\n23\t- 파일에는 메타데이터와 key reference만 저장\n24\t\n25\t## 최상위 구조 예시\n26\t\n27\t```json\n28\t{\n29\t \"version\": 1,\n30\t \"updatedAt\": \"2026-04-13T03:00:00.000Z\",\n31\t \"providers\": {\n32\t \"openai-codex\": {\n33\t \"accounts\": [\n34\t {\n35\t \"accountKey\": \"openai-codex:choonarm3@gmail.com\",\n36\t \"email\": \"choonarm3@gmail.com\",\n37\t \"displayName\": null,\n38\t \"accountId\": null,\n39\t \"authType\": \"oauth\",\n40\t \"source\": \"agent-store\",\n41\t \"createdAt\": \"2026-04-13T03:00:00.000Z\",\n42\t \"updatedAt\": \"2026-04-13T03:10:00.000Z\",\n43\t \"expiresAt\": \"2026-04-13T04:10:00.000Z\",\n44\t \"scopes\": [],\n45\t \"tokens\": {\n46\t \"accessToken\": \"***\",\n47\t \"refreshToken\": \"***\"\n48\t },\n49\t \"raw\": {\n50\t \"provider\": \"openai-codex\"\n51\t }\n52\t }\n53\t ]\n54\t }\n55\t }\n56\t}\n57\t```\n58\t\n59\t## 필드 설명\n60\t\n61\t### 최상위\n62\t- `version`: 저장소 버전\n63\t- `updatedAt`: ISO datetime string\n64\t- `providers`: provider별 계정 묶음\n65\t\n66\t### account\n67\t- `accountKey`: 내부 고유 키\n68\t- `email`: 계정 식별용 이메일\n69\t- `displayName`: 사용자 표시명\n70\t- `accountId`: provider별 계정 id\n71\t- `authType`: `oauth` / `session_cookie` / `session_key` / `api_key` / `unknown`\n72\t- `source`: `agent-store` / `openclaw-import` / `env` / `manual`\n73\t- `createdAt`, `updatedAt`, `expiresAt`: 모두 ISO datetime string\n74\t- `scopes`: OAuth scope 목록\n75\t- `tokens`: access/refresh token 저장 영역\n76\t- `raw`: provider 고유 메타데이터\n77\t\n78\t## 보안 고려\n79\t\n80\t초기 버전에서는 아래 두 가지 옵션 중 하나를 선택할 수 있다.\n81\t\n82\t### 옵션 A. 단순 파일 저장\n83\t장점:\n84\t- 구현이 빠름\n85\t- 로컬 개발이 단순함\n86\t\n87\t단점:\n88\t- 민감값 보호 수준이 낮음\n89\t\n90\t### 옵션 B. 파일 + keychain 분리\n91\t장점:\n92\t- 운영 보안이 더 좋음\n93\t- 토큰 유출 위험을 낮춤\n94\t\n95\t단점:\n96\t- 플랫폼별 구현이 늘어남\n97\t\n98\t## 추천\n99\t\n100\t초기 MVP는:\n101\t- `auth.json` 파일 저장으로 먼저 구현\n102\t- 파일 권한은 `0600`\n103\t- 토큰 필드는 추후 keychain 백엔드로 교체 가능하게 추상화\n104\t\n105\t즉 스키마는 유지하고 저장 backend만 바꾸는 방식이 좋다.\n106\t\n107\t## 추가 메타데이터 후보\n108\t\n109\t필요 시 아래 필드 추가 가능:\n110\t- `lastRefreshAt`\n111\t- `lastUsedAt`\n112\t- `lastErrorAt`\n113\t- `lastErrorCode`\n114\t- `preferred`\n115\t- `disabled`\n116\t- `migration`: OpenClaw import 이력\n117\t\n118\t## multi-account 기본 선택 규칙\n119\t\n120\t- 계정이 1개면 자동 선택\n121\t- 계정이 여러 개면 `lastUsedAt`이 가장 최근인 active 계정 사용\n122\t- `--account user@example.com`으로 명시 지정 가능\n123\t- `auth list`에서 기본 선택 대상 계정은 `*`로 표시\n124\t" }, "output": "1\t# 인증 저장소 스키마 초안\n2\t\n3\t## 목표\n4\t\n5\t`ai-usage-agent` 전용 credential store의 구조를 정의한다.\n6\t\n7\t이 스키마는 OpenClaw auth store와 분리된 독립 저장소를 전제로 한다.\n8\t\n9\t## 저장 위치 제안\n10\t\n11\t기본 경로:\n12\t\n13\t```text\n14\t~/.config/ai-usage-agent/auth.json\n15\t```\n16\t\n17\t현재 기본 방안:\n18\t- 민감 토큰 포함 `auth.json` 파일 저장으로 시작\n19\t- 파일 권한은 `0600`을 기본으로 사용\n20\t\n21\t향후 확장:\n22\t- OS keychain 저장\n23\t- 파일에는 메타데이터와 key reference만 저장\n24\t\n25\t## 최상위 구조 예시\n26\t\n27\t```json\n28\t{\n29\t \"version\": 1,\n30\t \"updatedAt\": \"2026-04-13T03:00:00.000Z\",\n31\t \"providers\": {\n32\t \"openai-codex\": {\n33\t \"accounts\": [\n34\t {\n35\t \"accountKey\": \"openai-codex:choonarm3@gmail.com\",\n36\t \"email\": \"choonarm3@gmail.com\",\n37\t \"displayName\": null,\n38\t \"accountId\": null,\n39\t \"authType\": \"oauth\",\n40\t \"source\": \"agent-store\",\n41\t \"createdAt\": \"2026-04-13T03:00:00.000Z\",\n42\t \"updatedAt\": \"2026-04-13T03:10:00.000Z\",\n43\t \"expiresAt\": \"2026-04-13T04:10:00.000Z\",\n44\t \"scopes\": [],\n45\t \"tokens\": {\n46\t \"accessToken\": \"***\",\n47\t \"refreshToken\": \"***\"\n48\t },\n49\t \"raw\": {\n50\t \"provider\": \"openai-codex\"\n51\t }\n52\t }\n53\t ]\n54\t }\n55\t }\n56\t}\n57\t```\n58\t\n59\t## 필드 설명\n60\t\n61\t### 최상위\n62\t- `version`: 저장소 버전\n63\t- `updatedAt`: ISO datetime string\n64\t- `providers`: provider별 계정 묶음\n65\t\n66\t### account\n67\t- `accountKey`: 내부 고유 키\n68\t- `email`: 계정 식별용 이메일\n69\t- `displayName`: 사용자 표시명\n70\t- `accountId`: provider별 계정 id\n71\t- `authType`: `oauth` / `session_cookie` / `session_key` / `api_key` / `unknown`\n72\t- `source`: `agent-store` / `openclaw-import` / `env` / `manual`\n73\t- `createdAt`, `updatedAt`, `expiresAt`: 모두 ISO datetime string\n74\t- `scopes`: OAuth scope 목록\n75\t- `tokens`: access/refresh token 저장 영역\n76\t- `raw`: provider 고유 메타데이터\n77\t\n78\t## 보안 고려\n79\t\n80\t초기 버전에서는 아래 두 가지 옵션 중 하나를 선택할 수 있다.\n81\t\n82\t### 옵션 A. 단순 파일 저장\n83\t장점:\n84\t- 구현이 빠름\n85\t- 로컬 개발이 단순함\n86\t\n87\t단점:\n88\t- 민감값 보호 수준이 낮음\n89\t\n90\t### 옵션 B. 파일 + keychain 분리\n91\t장점:\n92\t- 운영 보안이 더 좋음\n93\t- 토큰 유출 위험을 낮춤\n94\t\n95\t단점:\n96\t- 플랫폼별 구현이 늘어남\n97\t\n98\t## 추천\n99\t\n100\t초기 MVP는:\n101\t- `auth.json` 파일 저장으로 먼저 구현\n102\t- 파일 권한은 `0600`\n103\t- 토큰 필드는 추후 keychain 백엔드로 교체 가능하게 추상화\n104\t\n105\t즉 스키마는 유지하고 저장 backend만 바꾸는 방식이 좋다.\n106\t\n107\t## 추가 메타데이터 후보\n108\t\n109\t필요 시 아래 필드 추가 가능:\n110\t- `lastRefreshAt`\n111\t- `lastUsedAt`\n112\t- `lastErrorAt`\n113\t- `lastErrorCode`\n114\t- `preferred`\n115\t- `disabled`\n116\t- `migration`: OpenClaw import 이력\n117\t\n118\t## multi-account 기본 선택 규칙\n119\t\n120\t- 계정이 1개면 자동 선택\n121\t- 계정이 여러 개면 `lastUsedAt`이 가장 최근인 active 계정 사용\n122\t- `--account user@example.com`으로 명시 지정 가능\n123\t- `auth list`에서 기본 선택 대상 계정은 `*`로 표시\n124\t" }, "toolu_01KahZ7K5gpW5JPRr3FM3Lhx": { "tool_use_id": "toolu_01KahZ7K5gpW5JPRr3FM3Lhx", "tool_name": "Read packages/agent/src/auth/auth-store-schema.js", "is_error": false, "content": { "Text": "1\t/**\n2\t * Auth store schema shape and factory functions.\n3\t *\n4\t * Matches the spec defined in docs/auth-store-schema.md.\n5\t */\n6\t\n7\texport const AUTH_STORE_VERSION = 1;\n8\t\n9\texport const AUTH_TYPES = [\n10\t 'oauth',\n11\t 'session_cookie',\n12\t 'session_key',\n13\t 'api_key',\n14\t 'unknown',\n15\t];\n16\t\n17\texport const CREDENTIAL_SOURCES = [\n18\t 'agent-store',\n19\t 'openclaw-import',\n20\t 'env',\n21\t 'manual',\n22\t];\n23\t\n24\texport function createEmptyAuthStore() {\n25\t return {\n26\t version: AUTH_STORE_VERSION,\n27\t updatedAt: new Date().toISOString(),\n28\t providers: {},\n29\t };\n30\t}\n31\t\n32\texport const ACCOUNT_STATUSES = ['active', 'disabled'];\n33\t\n34\texport function createAccount({\n35\t accountKey,\n36\t email,\n37\t displayName = null,\n38\t accountId = null,\n39\t authType = 'oauth',\n40\t source = 'agent-store',\n41\t status = 'active',\n42\t scopes = [],\n43\t tokens = {},\n44\t raw = {},\n45\t}) {\n46\t const now = new Date().toISOString();\n47\t return {\n48\t accountKey,\n49\t email,\n50\t displayName,\n51\t accountId,\n52\t authType,\n53\t source,\n54\t status,\n55\t createdAt: now,\n56\t updatedAt: now,\n57\t lastUsedAt: null,\n58\t expiresAt: null,\n59\t scopes,\n60\t tokens,\n61\t raw,\n62\t };\n63\t}\n64\t" }, "output": "1\t/**\n2\t * Auth store schema shape and factory functions.\n3\t *\n4\t * Matches the spec defined in docs/auth-store-schema.md.\n5\t */\n6\t\n7\texport const AUTH_STORE_VERSION = 1;\n8\t\n9\texport const AUTH_TYPES = [\n10\t 'oauth',\n11\t 'session_cookie',\n12\t 'session_key',\n13\t 'api_key',\n14\t 'unknown',\n15\t];\n16\t\n17\texport const CREDENTIAL_SOURCES = [\n18\t 'agent-store',\n19\t 'openclaw-import',\n20\t 'env',\n21\t 'manual',\n22\t];\n23\t\n24\texport function createEmptyAuthStore() {\n25\t return {\n26\t version: AUTH_STORE_VERSION,\n27\t updatedAt: new Date().toISOString(),\n28\t providers: {},\n29\t };\n30\t}\n31\t\n32\texport const ACCOUNT_STATUSES = ['active', 'disabled'];\n33\t\n34\texport function createAccount({\n35\t accountKey,\n36\t email,\n37\t displayName = null,\n38\t accountId = null,\n39\t authType = 'oauth',\n40\t source = 'agent-store',\n41\t status = 'active',\n42\t scopes = [],\n43\t tokens = {},\n44\t raw = {},\n45\t}) {\n46\t const now = new Date().toISOString();\n47\t return {\n48\t accountKey,\n49\t email,\n50\t displayName,\n51\t accountId,\n52\t authType,\n53\t source,\n54\t status,\n55\t createdAt: now,\n56\t updatedAt: now,\n57\t lastUsedAt: null,\n58\t expiresAt: null,\n59\t scopes,\n60\t tokens,\n61\t raw,\n62\t };\n63\t}\n64\t" }, "toolu_01Y2n19z6SwAVCiYKSm9UrZu": { "tool_use_id": "toolu_01Y2n19z6SwAVCiYKSm9UrZu", "tool_name": "Read packages/agent/src/auth/auth-store-path.js", "is_error": false, "content": { "Text": "1\timport path from 'node:path';\n2\timport os from 'node:os';\n3\t\n4\tconst AUTH_STORE_FILENAME = 'auth.json';\n5\t\n6\texport function resolveAuthStoreDir() {\n7\t return path.join(os.homedir(), '.config', 'ai-usage-agent');\n8\t}\n9\t\n10\texport function resolveAuthStorePath() {\n11\t return path.join(resolveAuthStoreDir(), AUTH_STORE_FILENAME);\n12\t}\n13\t" }, "output": "1\timport path from 'node:path';\n2\timport os from 'node:os';\n3\t\n4\tconst AUTH_STORE_FILENAME = 'auth.json';\n5\t\n6\texport function resolveAuthStoreDir() {\n7\t return path.join(os.homedir(), '.config', 'ai-usage-agent');\n8\t}\n9\t\n10\texport function resolveAuthStorePath() {\n11\t return path.join(resolveAuthStoreDir(), AUTH_STORE_FILENAME);\n12\t}\n13\t" }, "toolu_01KBPi4KawLWmRgihJgp4S9m": { "tool_use_id": "toolu_01KBPi4KawLWmRgihJgp4S9m", "tool_name": "Read packages/agent/src/auth/auth-store.js", "is_error": false, "content": { "Text": "1\timport fs from 'node:fs/promises';\n2\timport { resolveAuthStoreDir, resolveAuthStorePath } from './auth-store-path.js';\n3\timport { createEmptyAuthStore, AUTH_STORE_VERSION } from './auth-store-schema.js';\n4\t\n5\tconst FILE_MODE = 0o600;\n6\t\n7\texport async function loadAuthStore() {\n8\t const filePath = resolveAuthStorePath();\n9\t\n10\t let raw;\n11\t try {\n12\t raw = await fs.readFile(filePath, 'utf-8');\n13\t } catch (err) {\n14\t if (err.code === 'ENOENT') {\n15\t return createEmptyAuthStore();\n16\t }\n17\t throw err;\n18\t }\n19\t\n20\t const store = JSON.parse(raw);\n21\t\n22\t if (store.version !== AUTH_STORE_VERSION) {\n23\t throw new Error(\n24\t `Unsupported auth store version: ${store.version} (expected ${AUTH_STORE_VERSION})`\n25\t );\n26\t }\n27\t\n28\t return store;\n29\t}\n30\t\n31\texport async function saveAuthStore(store) {\n32\t const dir = resolveAuthStoreDir();\n33\t await fs.mkdir(dir, { recursive: true });\n34\t\n35\t const filePath = resolveAuthStorePath();\n36\t const data = JSON.stringify(\n37\t { ...store, updatedAt: new Date().toISOString() },\n38\t null,\n39\t 2\n40\t );\n41\t\n42\t await fs.writeFile(filePath, data + '\\n', { mode: FILE_MODE });\n43\t}\n44\t\n45\texport function upsertProviderAccount(store, providerId, account) {\n46\t const nextStore = structuredClone(store);\n47\t\n48\t if (!nextStore.providers[providerId]) {\n49\t nextStore.providers[providerId] = { accounts: [] };\n50\t }\n51\t\n52\t const accounts = nextStore.providers[providerId].accounts;\n53\t const index = accounts.findIndex((item) => item.accountKey === account.accountKey);\n54\t\n55\t if (index >= 0) {\n56\t accounts[index] = {\n57\t ...accounts[index],\n58\t ...account,\n59\t updatedAt: new Date().toISOString(),\n60\t };\n61\t } else {\n62\t accounts.push(account);\n63\t }\n64\t\n65\t return nextStore;\n66\t}\n67\t" }, "output": "1\timport fs from 'node:fs/promises';\n2\timport { resolveAuthStoreDir, resolveAuthStorePath } from './auth-store-path.js';\n3\timport { createEmptyAuthStore, AUTH_STORE_VERSION } from './auth-store-schema.js';\n4\t\n5\tconst FILE_MODE = 0o600;\n6\t\n7\texport async function loadAuthStore() {\n8\t const filePath = resolveAuthStorePath();\n9\t\n10\t let raw;\n11\t try {\n12\t raw = await fs.readFile(filePath, 'utf-8');\n13\t } catch (err) {\n14\t if (err.code === 'ENOENT') {\n15\t return createEmptyAuthStore();\n16\t }\n17\t throw err;\n18\t }\n19\t\n20\t const store = JSON.parse(raw);\n21\t\n22\t if (store.version !== AUTH_STORE_VERSION) {\n23\t throw new Error(\n24\t `Unsupported auth store version: ${store.version} (expected ${AUTH_STORE_VERSION})`\n25\t );\n26\t }\n27\t\n28\t return store;\n29\t}\n30\t\n31\texport async function saveAuthStore(store) {\n32\t const dir = resolveAuthStoreDir();\n33\t await fs.mkdir(dir, { recursive: true });\n34\t\n35\t const filePath = resolveAuthStorePath();\n36\t const data = JSON.stringify(\n37\t { ...store, updatedAt: new Date().toISOString() },\n38\t null,\n39\t 2\n40\t );\n41\t\n42\t await fs.writeFile(filePath, data + '\\n', { mode: FILE_MODE });\n43\t}\n44\t\n45\texport function upsertProviderAccount(store, providerId, account) {\n46\t const nextStore = structuredClone(store);\n47\t\n48\t if (!nextStore.providers[providerId]) {\n49\t nextStore.providers[providerId] = { accounts: [] };\n50\t }\n51\t\n52\t const accounts = nextStore.providers[providerId].accounts;\n53\t const index = accounts.findIndex((item) => item.accountKey === account.accountKey);\n54\t\n55\t if (index >= 0) {\n56\t accounts[index] = {\n57\t ...accounts[index],\n58\t ...account,\n59\t updatedAt: new Date().toISOString(),\n60\t };\n61\t } else {\n62\t accounts.push(account);\n63\t }\n64\t\n65\t return nextStore;\n66\t}\n67\t" }, "toolu_01CYgjqaVkwM3WLyzkathuNH": { "tool_use_id": "toolu_01CYgjqaVkwM3WLyzkathuNH", "tool_name": "Read packages/agent/src/auth/account-resolver.js", "is_error": false, "content": { "Text": "1\t/**\n2\t * Account resolver — selects a default account from a provider's account list.\n3\t *\n4\t * Selection rules (docs/auth-store-schema.md):\n5\t * 1. Single account → auto-select\n6\t * 2. Multiple accounts → most recent lastUsedAt among active accounts\n7\t * 3. --account flag override via resolveAccountByIdentifier()\n8\t */\n9\t\n10\t/**\n11\t * Filter accounts whose status is 'active' (or has no status field, for\n12\t * backward-compat with accounts created before the status field existed).\n13\t */\n14\tfunction filterActiveAccounts(accounts) {\n15\t return accounts.filter((a) => !a.status || a.status === 'active');\n16\t}\n17\t\n18\t/**\n19\t * Pick the default account for a given provider.\n20\t *\n21\t * @param {object[]} accounts - provider.accounts array\n22\t * @returns {{ account: object | null, reason: string }}\n23\t */\n24\texport function resolveDefaultAccount(accounts) {\n25\t if (!accounts || accounts.length === 0) {\n26\t return { account: null, reason: 'no-accounts' };\n27\t }\n28\t\n29\t const active = filterActiveAccounts(accounts);\n30\t\n31\t if (active.length === 0) {\n32\t return { account: null, reason: 'all-disabled' };\n33\t }\n34\t\n35\t if (active.length === 1) {\n36\t return { account: active[0], reason: 'single-account' };\n37\t }\n38\t\n39\t // Multiple active accounts → prefer most-recently used\n40\t const sorted = [...active].sort((a, b) => {\n41\t const ta = a.lastUsedAt ?? '';\n42\t const tb = b.lastUsedAt ?? '';\n43\t if (ta === tb) return 0;\n44\t return ta > tb ? -1 : 1;\n45\t });\n46\t\n47\t return { account: sorted[0], reason: 'most-recent' };\n48\t}\n49\t\n50\t/**\n51\t * Find an account by email or accountKey (for --account override).\n52\t *\n53\t * @param {object[]} accounts - provider.accounts array\n54\t * @param {string} identifier - email address or accountKey\n55\t * @returns {{ account: object | null, reason: string }}\n56\t */\n57\texport function resolveAccountByIdentifier(accounts, identifier) {\n58\t if (!accounts || accounts.length === 0) {\n59\t return { account: null, reason: 'no-accounts' };\n60\t }\n61\t\n62\t const match = accounts.find(\n63\t (a) => a.email === identifier || a.accountKey === identifier,\n64\t );\n65\t\n66\t if (!match) {\n67\t return { account: null, reason: 'not-found' };\n68\t }\n69\t\n70\t if (match.status === 'disabled') {\n71\t return { account: null, reason: 'account-disabled' };\n72\t }\n73\t\n74\t return { account: match, reason: 'explicit-selection' };\n75\t}\n76\t\n77\t/**\n78\t * High-level resolver combining explicit override + default fallback.\n79\t *\n80\t * @param {object[]} accounts - provider.accounts array\n81\t * @param {{ accountIdentifier?: string }} [options]\n82\t * @returns {{ account: object | null, reason: string }}\n83\t */\n84\texport function resolveAccount(accounts, options = {}) {\n85\t if (options.accountIdentifier) {\n86\t return resolveAccountByIdentifier(accounts, options.accountIdentifier);\n87\t }\n88\t return resolveDefaultAccount(accounts);\n89\t}\n90\t" }, "output": "1\t/**\n2\t * Account resolver — selects a default account from a provider's account list.\n3\t *\n4\t * Selection rules (docs/auth-store-schema.md):\n5\t * 1. Single account → auto-select\n6\t * 2. Multiple accounts → most recent lastUsedAt among active accounts\n7\t * 3. --account flag override via resolveAccountByIdentifier()\n8\t */\n9\t\n10\t/**\n11\t * Filter accounts whose status is 'active' (or has no status field, for\n12\t * backward-compat with accounts created before the status field existed).\n13\t */\n14\tfunction filterActiveAccounts(accounts) {\n15\t return accounts.filter((a) => !a.status || a.status === 'active');\n16\t}\n17\t\n18\t/**\n19\t * Pick the default account for a given provider.\n20\t *\n21\t * @param {object[]} accounts - provider.accounts array\n22\t * @returns {{ account: object | null, reason: string }}\n23\t */\n24\texport function resolveDefaultAccount(accounts) {\n25\t if (!accounts || accounts.length === 0) {\n26\t return { account: null, reason: 'no-accounts' };\n27\t }\n28\t\n29\t const active = filterActiveAccounts(accounts);\n30\t\n31\t if (active.length === 0) {\n32\t return { account: null, reason: 'all-disabled' };\n33\t }\n34\t\n35\t if (active.length === 1) {\n36\t return { account: active[0], reason: 'single-account' };\n37\t }\n38\t\n39\t // Multiple active accounts → prefer most-recently used\n40\t const sorted = [...active].sort((a, b) => {\n41\t const ta = a.lastUsedAt ?? '';\n42\t const tb = b.lastUsedAt ?? '';\n43\t if (ta === tb) return 0;\n44\t return ta > tb ? -1 : 1;\n45\t });\n46\t\n47\t return { account: sorted[0], reason: 'most-recent' };\n48\t}\n49\t\n50\t/**\n51\t * Find an account by email or accountKey (for --account override).\n52\t *\n53\t * @param {object[]} accounts - provider.accounts array\n54\t * @param {string} identifier - email address or accountKey\n55\t * @returns {{ account: object | null, reason: string }}\n56\t */\n57\texport function resolveAccountByIdentifier(accounts, identifier) {\n58\t if (!accounts || accounts.length === 0) {\n59\t return { account: null, reason: 'no-accounts' };\n60\t }\n61\t\n62\t const match = accounts.find(\n63\t (a) => a.email === identifier || a.accountKey === identifier,\n64\t );\n65\t\n66\t if (!match) {\n67\t return { account: null, reason: 'not-found' };\n68\t }\n69\t\n70\t if (match.status === 'disabled') {\n71\t return { account: null, reason: 'account-disabled' };\n72\t }\n73\t\n74\t return { account: match, reason: 'explicit-selection' };\n75\t}\n76\t\n77\t/**\n78\t * High-level resolver combining explicit override + default fallback.\n79\t *\n80\t * @param {object[]} accounts - provider.accounts array\n81\t * @param {{ accountIdentifier?: string }} [options]\n82\t * @returns {{ account: object | null, reason: string }}\n83\t */\n84\texport function resolveAccount(accounts, options = {}) {\n85\t if (options.accountIdentifier) {\n86\t return resolveAccountByIdentifier(accounts, options.accountIdentifier);\n87\t }\n88\t return resolveDefaultAccount(accounts);\n89\t}\n90\t" }, "toolu_01YKobeKTM2sXvRRLmkCQPmh": { "tool_use_id": "toolu_01YKobeKTM2sXvRRLmkCQPmh", "tool_name": "Read packages/agent/src/auth/localhost-callback.js", "is_error": false, "content": { "Text": "1\t/**\n2\t * Localhost callback preparation for OAuth login flow.\n3\t *\n4\t * This module provides the scaffolding for:\n5\t * - Callback URL construction\n6\t * - PKCE code_verifier / code_challenge placeholders\n7\t * - OAuth state parameter generation\n8\t * - Callback server lifecycle (not yet wired to real token exchange)\n9\t */\n10\t\n11\timport { randomBytes } from 'node:crypto';\n12\timport { resolveCallbackPort } from './port-fallback.js';\n13\t\n14\t/**\n15\t * Generate a random URL-safe string for OAuth state parameter.\n16\t */\n17\texport function generateState(bytes = 32) {\n18\t return randomBytes(bytes).toString('base64url');\n19\t}\n20\t\n21\t/**\n22\t * PKCE placeholder — generates code_verifier and code_challenge.\n23\t *\n24\t * TODO(phase-next): implement proper S256 challenge derivation.\n25\t * Currently returns raw verifier as challenge (plain method placeholder).\n26\t */\n27\texport function generatePkce(bytes = 32) {\n28\t const codeVerifier = randomBytes(bytes).toString('base64url');\n29\t return {\n30\t codeVerifier,\n31\t codeChallenge: codeVerifier, // placeholder — replace with S256 hash\n32\t codeChallengeMethod: 'plain', // placeholder — should become 'S256'\n33\t };\n34\t}\n35\t\n36\t/**\n37\t * Build the localhost callback URL for a given port.\n38\t */\n39\texport function buildCallbackUrl(port) {\n40\t return `http://127.0.0.1:${port}/callback`;\n41\t}\n42\t\n43\t/**\n44\t * Prepare everything needed before starting the OAuth browser flow.\n45\t *\n46\t * @param {object} options\n47\t * @param {number|null} options.preferredPort - --port flag value (null = auto)\n48\t * @returns {Promise<{ ready: boolean, params: object|null, reason: string|null }>}\n49\t */\n50\texport async function prepareLocalhostCallback({ preferredPort = null } = {}) {\n51\t const { port, fallbackExhausted } = await resolveCallbackPort({ preferredPort });\n52\t\n53\t if (port == null) {\n54\t const reason = preferredPort != null\n55\t ? `지정된 포트 ${preferredPort}을(를) 사용할 수 없습니다.`\n56\t : '사용 가능한 콜백 포트를 찾지 못했습니다. manual paste 모드로 전환합니다.';\n57\t return { ready: false, params: null, reason, fallbackExhausted };\n58\t }\n59\t\n60\t const state = generateState();\n61\t const pkce = generatePkce();\n62\t const callbackUrl = buildCallbackUrl(port);\n63\t\n64\t return {\n65\t ready: true,\n66\t params: { port, callbackUrl, state, ...pkce },\n67\t reason: null,\n68\t fallbackExhausted: false,\n69\t };\n70\t}\n71\t" }, "output": "1\t/**\n2\t * Localhost callback preparation for OAuth login flow.\n3\t *\n4\t * This module provides the scaffolding for:\n5\t * - Callback URL construction\n6\t * - PKCE code_verifier / code_challenge placeholders\n7\t * - OAuth state parameter generation\n8\t * - Callback server lifecycle (not yet wired to real token exchange)\n9\t */\n10\t\n11\timport { randomBytes } from 'node:crypto';\n12\timport { resolveCallbackPort } from './port-fallback.js';\n13\t\n14\t/**\n15\t * Generate a random URL-safe string for OAuth state parameter.\n16\t */\n17\texport function generateState(bytes = 32) {\n18\t return randomBytes(bytes).toString('base64url');\n19\t}\n20\t\n21\t/**\n22\t * PKCE placeholder — generates code_verifier and code_challenge.\n23\t *\n24\t * TODO(phase-next): implement proper S256 challenge derivation.\n25\t * Currently returns raw verifier as challenge (plain method placeholder).\n26\t */\n27\texport function generatePkce(bytes = 32) {\n28\t const codeVerifier = randomBytes(bytes).toString('base64url');\n29\t return {\n30\t codeVerifier,\n31\t codeChallenge: codeVerifier, // placeholder — replace with S256 hash\n32\t codeChallengeMethod: 'plain', // placeholder — should become 'S256'\n33\t };\n34\t}\n35\t\n36\t/**\n37\t * Build the localhost callback URL for a given port.\n38\t */\n39\texport function buildCallbackUrl(port) {\n40\t return `http://127.0.0.1:${port}/callback`;\n41\t}\n42\t\n43\t/**\n44\t * Prepare everything needed before starting the OAuth browser flow.\n45\t *\n46\t * @param {object} options\n47\t * @param {number|null} options.preferredPort - --port flag value (null = auto)\n48\t * @returns {Promise<{ ready: boolean, params: object|null, reason: string|null }>}\n49\t */\n50\texport async function prepareLocalhostCallback({ preferredPort = null } = {}) {\n51\t const { port, fallbackExhausted } = await resolveCallbackPort({ preferredPort });\n52\t\n53\t if (port == null) {\n54\t const reason = preferredPort != null\n55\t ? `지정된 포트 ${preferredPort}을(를) 사용할 수 없습니다.`\n56\t : '사용 가능한 콜백 포트를 찾지 못했습니다. manual paste 모드로 전환합니다.';\n57\t return { ready: false, params: null, reason, fallbackExhausted };\n58\t }\n59\t\n60\t const state = generateState();\n61\t const pkce = generatePkce();\n62\t const callbackUrl = buildCallbackUrl(port);\n63\t\n64\t return {\n65\t ready: true,\n66\t params: { port, callbackUrl, state, ...pkce },\n67\t reason: null,\n68\t fallbackExhausted: false,\n69\t };\n70\t}\n71\t" }, "toolu_01TC4k4ptno7MfqTZWU8Ax2C": { "tool_use_id": "toolu_01TC4k4ptno7MfqTZWU8Ax2C", "tool_name": "Read packages/agent/src/auth/port-fallback.js", "is_error": false, "content": { "Text": "1\t/**\n2\t * Port fallback helper for localhost callback server.\n3\t *\n4\t * Policy (from docs/auth-cli.md):\n5\t * - Default port: 19876\n6\t * - On conflict: try +1, +2, +3 (max 3 retries)\n7\t * - If all fail: signal caller to switch to manual paste\n8\t * - If user specified --port: try only that port, fail on conflict\n9\t */\n10\t\n11\timport { createServer } from 'node:net';\n12\t\n13\texport const DEFAULT_CALLBACK_PORT = 19876;\n14\texport const MAX_PORT_RETRIES = 3;\n15\t\n16\t/**\n17\t * Check whether a given port is available on 127.0.0.1.\n18\t * Resolves to true if available, false otherwise.\n19\t */\n20\texport function isPortAvailable(port) {\n21\t return new Promise((resolve) => {\n22\t const server = createServer();\n23\t server.once('error', () => resolve(false));\n24\t server.once('listening', () => {\n25\t server.close(() => resolve(true));\n26\t });\n27\t server.listen(port, '127.0.0.1');\n28\t });\n29\t}\n30\t\n31\t/**\n32\t * Find an available callback port according to the fallback policy.\n33\t *\n34\t * @param {object} options\n35\t * @param {number|null} options.preferredPort - User-specified port via --port (null = use default + fallback)\n36\t * @returns {Promise<{ port: number|null, fallbackExhausted: boolean }>}\n37\t * port – the available port, or null if none found\n38\t * fallbackExhausted – true when all automatic retries failed (caller should switch to manual paste)\n39\t */\n40\texport async function resolveCallbackPort({ preferredPort = null } = {}) {\n41\t // User explicitly specified a port — try only that one\n42\t if (preferredPort != null) {\n43\t const available = await isPortAvailable(preferredPort);\n44\t return available\n45\t ? { port: preferredPort, fallbackExhausted: false }\n46\t : { port: null, fallbackExhausted: false };\n47\t }\n48\t\n49\t // Default port + up to MAX_PORT_RETRIES fallback attempts\n50\t for (let i = 0; i <= MAX_PORT_RETRIES; i++) {\n51\t const candidate = DEFAULT_CALLBACK_PORT + i;\n52\t const available = await isPortAvailable(candidate);\n53\t if (available) {\n54\t return { port: candidate, fallbackExhausted: false };\n55\t }\n56\t }\n57\t\n58\t // All candidates occupied\n59\t return { port: null, fallbackExhausted: true };\n60\t}\n61\t" }, "output": "1\t/**\n2\t * Port fallback helper for localhost callback server.\n3\t *\n4\t * Policy (from docs/auth-cli.md):\n5\t * - Default port: 19876\n6\t * - On conflict: try +1, +2, +3 (max 3 retries)\n7\t * - If all fail: signal caller to switch to manual paste\n8\t * - If user specified --port: try only that port, fail on conflict\n9\t */\n10\t\n11\timport { createServer } from 'node:net';\n12\t\n13\texport const DEFAULT_CALLBACK_PORT = 19876;\n14\texport const MAX_PORT_RETRIES = 3;\n15\t\n16\t/**\n17\t * Check whether a given port is available on 127.0.0.1.\n18\t * Resolves to true if available, false otherwise.\n19\t */\n20\texport function isPortAvailable(port) {\n21\t return new Promise((resolve) => {\n22\t const server = createServer();\n23\t server.once('error', () => resolve(false));\n24\t server.once('listening', () => {\n25\t server.close(() => resolve(true));\n26\t });\n27\t server.listen(port, '127.0.0.1');\n28\t });\n29\t}\n30\t\n31\t/**\n32\t * Find an available callback port according to the fallback policy.\n33\t *\n34\t * @param {object} options\n35\t * @param {number|null} options.preferredPort - User-specified port via --port (null = use default + fallback)\n36\t * @returns {Promise<{ port: number|null, fallbackExhausted: boolean }>}\n37\t * port – the available port, or null if none found\n38\t * fallbackExhausted – true when all automatic retries failed (caller should switch to manual paste)\n39\t */\n40\texport async function resolveCallbackPort({ preferredPort = null } = {}) {\n41\t // User explicitly specified a port — try only that one\n42\t if (preferredPort != null) {\n43\t const available = await isPortAvailable(preferredPort);\n44\t return available\n45\t ? { port: preferredPort, fallbackExhausted: false }\n46\t : { port: null, fallbackExhausted: false };\n47\t }\n48\t\n49\t // Default port + up to MAX_PORT_RETRIES fallback attempts\n50\t for (let i = 0; i <= MAX_PORT_RETRIES; i++) {\n51\t const candidate = DEFAULT_CALLBACK_PORT + i;\n52\t const available = await isPortAvailable(candidate);\n53\t if (available) {\n54\t return { port: candidate, fallbackExhausted: false };\n55\t }\n56\t }\n57\t\n58\t // All candidates occupied\n59\t return { port: null, fallbackExhausted: true };\n60\t}\n61\t" }, "toolu_01A5RZX5bk4X7gvhhgV6pgha": { "tool_use_id": "toolu_01A5RZX5bk4X7gvhhgV6pgha", "tool_name": "Read packages/agent/src/auth/manual-paste.js", "is_error": false, "content": { "Text": "1\t/**\n2\t * Manual paste fallback — reads callback URL or authorization code from stdin.\n3\t *\n4\t * Used when localhost callback is unavailable (SSH, container, port conflict).\n5\t */\n6\t\n7\timport { createInterface } from 'node:readline';\n8\t\n9\t/**\n10\t * Prompt the user for a callback URL or authorization code via stdin.\n11\t *\n12\t * Accepts either:\n13\t * - Full callback URL (e.g. http://127.0.0.1:19876/callback?code=abc&state=xyz)\n14\t * - Raw authorization code string\n15\t *\n16\t * @returns {Promise<{ type: 'url' | 'code', value: string }>}\n17\t */\n18\texport async function readManualPasteInput() {\n19\t const rl = createInterface({ input: process.stdin, output: process.stdout });\n20\t\n21\t const input = await new Promise((resolve) => {\n22\t rl.question(\n23\t '콜백 URL 전체 또는 authorization code를 붙여넣으세요:\\n> ',\n24\t (answer) => {\n25\t rl.close();\n26\t resolve(answer.trim());\n27\t },\n28\t );\n29\t });\n30\t\n31\t if (!input) {\n32\t return { type: 'code', value: '', error: 'empty-input' };\n33\t }\n34\t\n35\t if (looksLikeUrl(input)) {\n36\t return { type: 'url', value: input };\n37\t }\n38\t\n39\t return { type: 'code', value: input };\n40\t}\n41\t\n42\t/**\n43\t * Extract authorization code from a callback URL or raw code string.\n44\t *\n45\t * @param {{ type: 'url' | 'code', value: string }} pasteResult\n46\t * @returns {{ code: string | null, state: string | null, error: string | null }}\n47\t */\n48\texport function extractCodeFromPaste(pasteResult) {\n49\t if (pasteResult.error) {\n50\t return { code: null, state: null, error: pasteResult.error };\n51\t }\n52\t\n53\t if (pasteResult.type === 'code') {\n54\t return { code: pasteResult.value, state: null, error: null };\n55\t }\n56\t\n57\t try {\n58\t const url = new URL(pasteResult.value);\n59\t const code = url.searchParams.get('code');\n60\t const state = url.searchParams.get('state');\n61\t\n62\t if (!code) {\n63\t return { code: null, state, error: 'no-code-in-url' };\n64\t }\n65\t\n66\t return { code, state, error: null };\n67\t } catch {\n68\t return { code: null, state: null, error: 'invalid-url' };\n69\t }\n70\t}\n71\t\n72\tfunction looksLikeUrl(input) {\n73\t return input.startsWith('http://') || input.startsWith('https://');\n74\t}\n75\t" }, "output": "1\t/**\n2\t * Manual paste fallback — reads callback URL or authorization code from stdin.\n3\t *\n4\t * Used when localhost callback is unavailable (SSH, container, port conflict).\n5\t */\n6\t\n7\timport { createInterface } from 'node:readline';\n8\t\n9\t/**\n10\t * Prompt the user for a callback URL or authorization code via stdin.\n11\t *\n12\t * Accepts either:\n13\t * - Full callback URL (e.g. http://127.0.0.1:19876/callback?code=abc&state=xyz)\n14\t * - Raw authorization code string\n15\t *\n16\t * @returns {Promise<{ type: 'url' | 'code', value: string }>}\n17\t */\n18\texport async function readManualPasteInput() {\n19\t const rl = createInterface({ input: process.stdin, output: process.stdout });\n20\t\n21\t const input = await new Promise((resolve) => {\n22\t rl.question(\n23\t '콜백 URL 전체 또는 authorization code를 붙여넣으세요:\\n> ',\n24\t (answer) => {\n25\t rl.close();\n26\t resolve(answer.trim());\n27\t },\n28\t );\n29\t });\n30\t\n31\t if (!input) {\n32\t return { type: 'code', value: '', error: 'empty-input' };\n33\t }\n34\t\n35\t if (looksLikeUrl(input)) {\n36\t return { type: 'url', value: input };\n37\t }\n38\t\n39\t return { type: 'code', value: input };\n40\t}\n41\t\n42\t/**\n43\t * Extract authorization code from a callback URL or raw code string.\n44\t *\n45\t * @param {{ type: 'url' | 'code', value: string }} pasteResult\n46\t * @returns {{ code: string | null, state: string | null, error: string | null }}\n47\t */\n48\texport function extractCodeFromPaste(pasteResult) {\n49\t if (pasteResult.error) {\n50\t return { code: null, state: null, error: pasteResult.error };\n51\t }\n52\t\n53\t if (pasteResult.type === 'code') {\n54\t return { code: pasteResult.value, state: null, error: null };\n55\t }\n56\t\n57\t try {\n58\t const url = new URL(pasteResult.value);\n59\t const code = url.searchParams.get('code');\n60\t const state = url.searchParams.get('state');\n61\t\n62\t if (!code) {\n63\t return { code: null, state, error: 'no-code-in-url' };\n64\t }\n65\t\n66\t return { code, state, error: null };\n67\t } catch {\n68\t return { code: null, state: null, error: 'invalid-url' };\n69\t }\n70\t}\n71\t\n72\tfunction looksLikeUrl(input) {\n73\t return input.startsWith('http://') || input.startsWith('https://');\n74\t}\n75\t" }, "toolu_01C2vjYiRcAFgNFRfnTyRxRh": { "tool_use_id": "toolu_01C2vjYiRcAFgNFRfnTyRxRh", "tool_name": "Read packages/agent/src/cli/auth-login-command.js", "is_error": false, "content": { "Text": "1\timport { prepareLocalhostCallback } from '../auth/localhost-callback.js';\n2\timport { readManualPasteInput, extractCodeFromPaste } from '../auth/manual-paste.js';\n3\timport { createMockCodexAccountFromManualInput } from '../auth/mock-auth-exchange.js';\n4\timport { loadAuthStore, saveAuthStore, upsertProviderAccount } from '../auth/auth-store.js';\n5\t\n6\texport async function runAuthLoginCommand(provider, args = []) {\n7\t if (!provider) {\n8\t console.log('사용법: ai-usage-agent auth login [--manual] [--no-open] [--port ]');\n9\t return;\n10\t }\n11\t\n12\t if (provider !== 'codex') {\n13\t console.log(`아직 login은 codex만 골격이 준비되어 있어. 입력된 provider: ${provider}`);\n14\t return;\n15\t }\n16\t\n17\t const options = parseLoginOptions(args);\n18\t\n19\t if (options.device) {\n20\t console.log('device code flow는 후순위 항목이라 아직 구현되지 않았어.');\n21\t return;\n22\t }\n23\t\n24\t if (options.manual) {\n25\t await runManualPasteFlow();\n26\t return;\n27\t }\n28\t\n29\t const prepared = await prepareLocalhostCallback({ preferredPort: options.port });\n30\t\n31\t console.log('ai-usage-agent auth login codex');\n32\t console.log('--------------------------------');\n33\t\n34\t if (!prepared.ready) {\n35\t console.log(prepared.reason);\n36\t if (prepared.fallbackExhausted) {\n37\t console.log('다음 단계에서 manual paste fallback으로 이어지도록 연결할 예정이야.');\n38\t }\n39\t return;\n40\t }\n41\t\n42\t console.log(`콜백 URL 준비됨: ${prepared.params.callbackUrl}`);\n43\t console.log(`선택된 포트: ${prepared.params.port}`);\n44\t console.log('OAuth state/PKCE placeholder 생성 완료');\n45\t console.log('주의: 실제 브라우저 로그인과 token exchange는 아직 구현되지 않았어.');\n46\t if (options.noOpen) {\n47\t console.log('--no-open 옵션이 지정되어 브라우저 자동 실행은 건너뜀');\n48\t } else {\n49\t console.log('다음 단계에서 브라우저 자동 실행을 연결할 예정이야.');\n50\t }\n51\t}\n52\t\n53\tasync function runManualPasteFlow() {\n54\t console.log('ai-usage-agent auth login codex --manual');\n55\t console.log('-----------------------------------------');\n56\t console.log('주의: 이 흐름은 아직 실제 OAuth token exchange가 아니라 placeholder/mock 저장이야.');\n57\t\n58\t const pasteResult = await readManualPasteInput();\n59\t const extracted = extractCodeFromPaste(pasteResult);\n60\t\n61\t if (extracted.error || !extracted.code) {\n62\t console.log(`입력 처리 실패: ${extracted.error ?? 'unknown-error'}`);\n63\t return;\n64\t }\n65\t\n66\t const account = createMockCodexAccountFromManualInput({\n67\t code: extracted.code,\n68\t rawInput: pasteResult.value,\n69\t });\n70\t\n71\t const store = await loadAuthStore();\n72\t const nextStore = upsertProviderAccount(store, 'openai-codex', account);\n73\t await saveAuthStore(nextStore);\n74\t\n75\t console.log('placeholder/mock 계정을 auth store에 저장했어.');\n76\t console.log(`저장 accountKey: ${account.accountKey}`);\n77\t console.log('이 저장 결과는 실제 OAuth 인증이 아니라 이후 흐름 연결을 위한 임시 구현이야.');\n78\t}\n79\t\n80\tfunction parseLoginOptions(args) {\n81\t const options = {\n82\t noOpen: false,\n83\t manual: false,\n84\t device: false,\n85\t port: null,\n86\t };\n87\t\n88\t for (let index = 0; index < args.length; index += 1) {\n89\t const arg = args[index];\n90\t if (arg === '--no-open') options.noOpen = true;\n91\t if (arg === '--manual') options.manual = true;\n92\t if (arg === '--device') options.device = true;\n93\t if (arg === '--port') {\n94\t const value = args[index + 1];\n95\t if (value) {\n96\t options.port = Number(value);\n97\t index += 1;\n98\t }\n99\t }\n100\t }\n101\t\n102\t return options;\n103\t}\n104\t" }, "output": "1\timport { prepareLocalhostCallback } from '../auth/localhost-callback.js';\n2\timport { readManualPasteInput, extractCodeFromPaste } from '../auth/manual-paste.js';\n3\timport { createMockCodexAccountFromManualInput } from '../auth/mock-auth-exchange.js';\n4\timport { loadAuthStore, saveAuthStore, upsertProviderAccount } from '../auth/auth-store.js';\n5\t\n6\texport async function runAuthLoginCommand(provider, args = []) {\n7\t if (!provider) {\n8\t console.log('사용법: ai-usage-agent auth login [--manual] [--no-open] [--port ]');\n9\t return;\n10\t }\n11\t\n12\t if (provider !== 'codex') {\n13\t console.log(`아직 login은 codex만 골격이 준비되어 있어. 입력된 provider: ${provider}`);\n14\t return;\n15\t }\n16\t\n17\t const options = parseLoginOptions(args);\n18\t\n19\t if (options.device) {\n20\t console.log('device code flow는 후순위 항목이라 아직 구현되지 않았어.');\n21\t return;\n22\t }\n23\t\n24\t if (options.manual) {\n25\t await runManualPasteFlow();\n26\t return;\n27\t }\n28\t\n29\t const prepared = await prepareLocalhostCallback({ preferredPort: options.port });\n30\t\n31\t console.log('ai-usage-agent auth login codex');\n32\t console.log('--------------------------------');\n33\t\n34\t if (!prepared.ready) {\n35\t console.log(prepared.reason);\n36\t if (prepared.fallbackExhausted) {\n37\t console.log('다음 단계에서 manual paste fallback으로 이어지도록 연결할 예정이야.');\n38\t }\n39\t return;\n40\t }\n41\t\n42\t console.log(`콜백 URL 준비됨: ${prepared.params.callbackUrl}`);\n43\t console.log(`선택된 포트: ${prepared.params.port}`);\n44\t console.log('OAuth state/PKCE placeholder 생성 완료');\n45\t console.log('주의: 실제 브라우저 로그인과 token exchange는 아직 구현되지 않았어.');\n46\t if (options.noOpen) {\n47\t console.log('--no-open 옵션이 지정되어 브라우저 자동 실행은 건너뜀');\n48\t } else {\n49\t console.log('다음 단계에서 브라우저 자동 실행을 연결할 예정이야.');\n50\t }\n51\t}\n52\t\n53\tasync function runManualPasteFlow() {\n54\t console.log('ai-usage-agent auth login codex --manual');\n55\t console.log('-----------------------------------------');\n56\t console.log('주의: 이 흐름은 아직 실제 OAuth token exchange가 아니라 placeholder/mock 저장이야.');\n57\t\n58\t const pasteResult = await readManualPasteInput();\n59\t const extracted = extractCodeFromPaste(pasteResult);\n60\t\n61\t if (extracted.error || !extracted.code) {\n62\t console.log(`입력 처리 실패: ${extracted.error ?? 'unknown-error'}`);\n63\t return;\n64\t }\n65\t\n66\t const account = createMockCodexAccountFromManualInput({\n67\t code: extracted.code,\n68\t rawInput: pasteResult.value,\n69\t });\n70\t\n71\t const store = await loadAuthStore();\n72\t const nextStore = upsertProviderAccount(store, 'openai-codex', account);\n73\t await saveAuthStore(nextStore);\n74\t\n75\t console.log('placeholder/mock 계정을 auth store에 저장했어.');\n76\t console.log(`저장 accountKey: ${account.accountKey}`);\n77\t console.log('이 저장 결과는 실제 OAuth 인증이 아니라 이후 흐름 연결을 위한 임시 구현이야.');\n78\t}\n79\t\n80\tfunction parseLoginOptions(args) {\n81\t const options = {\n82\t noOpen: false,\n83\t manual: false,\n84\t device: false,\n85\t port: null,\n86\t };\n87\t\n88\t for (let index = 0; index < args.length; index += 1) {\n89\t const arg = args[index];\n90\t if (arg === '--no-open') options.noOpen = true;\n91\t if (arg === '--manual') options.manual = true;\n92\t if (arg === '--device') options.device = true;\n93\t if (arg === '--port') {\n94\t const value = args[index + 1];\n95\t if (value) {\n96\t options.port = Number(value);\n97\t index += 1;\n98\t }\n99\t }\n100\t }\n101\t\n102\t return options;\n103\t}\n104\t" }, "toolu_01VYQbASk93tsqjbC4AkD634": { "tool_use_id": "toolu_01VYQbASk93tsqjbC4AkD634", "tool_name": "Read packages/agent/src/auth/index.js", "is_error": false, "content": { "Text": "1\texport * from './auth-store-schema.js';\n2\texport * from './auth-store-path.js';\n3\texport * from './auth-store.js';\n4\texport * from './account-resolver.js';\n5\texport * from './localhost-callback.js';\n6\texport * from './port-fallback.js';\n7\texport * from './manual-paste.js';\n8\texport * from './mock-auth-exchange.js';\n9\t" }, "output": "1\texport * from './auth-store-schema.js';\n2\texport * from './auth-store-path.js';\n3\texport * from './auth-store.js';\n4\texport * from './account-resolver.js';\n5\texport * from './localhost-callback.js';\n6\texport * from './port-fallback.js';\n7\texport * from './manual-paste.js';\n8\texport * from './mock-auth-exchange.js';\n9\t" }, "toolu_017MnLswQoMSxbapTCr5aUKE": { "tool_use_id": "toolu_017MnLswQoMSxbapTCr5aUKE", "tool_name": "Read packages/agent/src/auth/mock-auth-exchange.js", "is_error": false, "content": { "Text": "1\timport { createAccount } from './auth-store-schema.js';\n2\t\n3\texport function createMockCodexAccountFromManualInput({ code, rawInput }) {\n4\t const normalized = sanitizeCode(code);\n5\t const suffix = normalized.slice(0, 8) || 'manual';\n6\t const email = `manual-${suffix}@example.local`;\n7\t\n8\t return createAccount({\n9\t accountKey: `openai-codex:${email}`,\n10\t email,\n11\t authType: 'oauth',\n12\t source: 'manual',\n13\t tokens: {\n14\t accessToken: `mock-access-token-${suffix}`,\n15\t refreshToken: `mock-refresh-token-${suffix}`,\n16\t },\n17\t raw: {\n18\t provider: 'openai-codex',\n19\t mock: true,\n20\t note: '실제 OAuth token exchange가 아닌 placeholder 저장 결과',\n21\t manualInputPreview: rawInput.slice(0, 120),\n22\t },\n23\t });\n24\t}\n25\t\n26\tfunction sanitizeCode(value) {\n27\t return String(value || '')\n28\t .replace(/[^a-zA-Z0-9_-]/g, '')\n29\t .toLowerCase();\n30\t}\n31\t" }, "output": "1\timport { createAccount } from './auth-store-schema.js';\n2\t\n3\texport function createMockCodexAccountFromManualInput({ code, rawInput }) {\n4\t const normalized = sanitizeCode(code);\n5\t const suffix = normalized.slice(0, 8) || 'manual';\n6\t const email = `manual-${suffix}@example.local`;\n7\t\n8\t return createAccount({\n9\t accountKey: `openai-codex:${email}`,\n10\t email,\n11\t authType: 'oauth',\n12\t source: 'manual',\n13\t tokens: {\n14\t accessToken: `mock-access-token-${suffix}`,\n15\t refreshToken: `mock-refresh-token-${suffix}`,\n16\t },\n17\t raw: {\n18\t provider: 'openai-codex',\n19\t mock: true,\n20\t note: '실제 OAuth token exchange가 아닌 placeholder 저장 결과',\n21\t manualInputPreview: rawInput.slice(0, 120),\n22\t },\n23\t });\n24\t}\n25\t\n26\tfunction sanitizeCode(value) {\n27\t return String(value || '')\n28\t .replace(/[^a-zA-Z0-9_-]/g, '')\n29\t .toLowerCase();\n30\t}\n31\t" }, "toolu_01RSd6xCAUJ7VjnXA7FhGvdD": { "tool_use_id": "toolu_01RSd6xCAUJ7VjnXA7FhGvdD", "tool_name": "Read packages/provider-adapters/src/codex/read-codex-auth-profiles.js", "is_error": false, "content": { "Text": "1\timport fs from 'node:fs';\n2\timport path from 'node:path';\n3\timport os from 'node:os';\n4\t\n5\tconst DEFAULT_AUTH_PROFILES_PATH = path.join(\n6\t os.homedir(),\n7\t '.openclaw',\n8\t 'agents',\n9\t 'main',\n10\t 'agent',\n11\t 'auth-profiles.json'\n12\t);\n13\t\n14\texport function readCodexAuthProfiles(authProfilesPath = DEFAULT_AUTH_PROFILES_PATH) {\n15\t if (!fs.existsSync(authProfilesPath)) {\n16\t return [];\n17\t }\n18\t\n19\t const raw = JSON.parse(fs.readFileSync(authProfilesPath, 'utf8'));\n20\t const profiles = Object.entries(raw.profiles || {})\n21\t .filter(([, value]) => value?.provider === 'openai-codex' && value?.type === 'oauth')\n22\t .map(([id, value]) => ({\n23\t id,\n24\t accessToken: value.access,\n25\t accountId: value.accountId ?? null,\n26\t email: value.email ?? null,\n27\t expires: value.expires ?? null\n28\t }))\n29\t .filter((profile) => Boolean(profile.accessToken));\n30\t\n31\t return profiles;\n32\t}\n33\t\n34\texport function getDefaultAuthProfilesPath() {\n35\t return DEFAULT_AUTH_PROFILES_PATH;\n36\t}\n37\t" }, "output": "1\timport fs from 'node:fs';\n2\timport path from 'node:path';\n3\timport os from 'node:os';\n4\t\n5\tconst DEFAULT_AUTH_PROFILES_PATH = path.join(\n6\t os.homedir(),\n7\t '.openclaw',\n8\t 'agents',\n9\t 'main',\n10\t 'agent',\n11\t 'auth-profiles.json'\n12\t);\n13\t\n14\texport function readCodexAuthProfiles(authProfilesPath = DEFAULT_AUTH_PROFILES_PATH) {\n15\t if (!fs.existsSync(authProfilesPath)) {\n16\t return [];\n17\t }\n18\t\n19\t const raw = JSON.parse(fs.readFileSync(authProfilesPath, 'utf8'));\n20\t const profiles = Object.entries(raw.profiles || {})\n21\t .filter(([, value]) => value?.provider === 'openai-codex' && value?.type === 'oauth')\n22\t .map(([id, value]) => ({\n23\t id,\n24\t accessToken: value.access,\n25\t accountId: value.accountId ?? null,\n26\t email: value.email ?? null,\n27\t expires: value.expires ?? null\n28\t }))\n29\t .filter((profile) => Boolean(profile.accessToken));\n30\t\n31\t return profiles;\n32\t}\n33\t\n34\texport function getDefaultAuthProfilesPath() {\n35\t return DEFAULT_AUTH_PROFILES_PATH;\n36\t}\n37\t" }, "toolu_01HsnLPZHZTYBhFqa4X8zHXe": { "tool_use_id": "toolu_01HsnLPZHZTYBhFqa4X8zHXe", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/", "is_error": false, "content": { "Text": "total 32\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 .\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 14:13 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 14:28 auth\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 14:21 cli\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 config\n-rw-rw-r-- 1 lagoon3 lagoon3 157 4월 13 13:55 index.js\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 services\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 types" }, "output": "total 32\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 .\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 14:13 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 14:28 auth\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 14:21 cli\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 config\n-rw-rw-r-- 1 lagoon3 lagoon3 157 4월 13 13:55 index.js\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 services\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 types" }, "toolu_017XDAWWrcYQMBQYk3grX6MW": { "tool_use_id": "toolu_017XDAWWrcYQMBQYk3grX6MW", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/", "is_error": false, "content": { "Text": "total 28\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 14:21 .\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 3517 4월 13 14:28 auth-login-command.js\n-rw-rw-r-- 1 lagoon3 lagoon3 554 4월 13 07:06 config-init-command.js\n-rw-rw-r-- 1 lagoon3 lagoon3 450 4월 13 07:06 doctor-command.js\n-rw-rw-r-- 1 lagoon3 lagoon3 1194 4월 13 14:21 run-cli.js\n-rw-rw-r-- 1 lagoon3 lagoon3 2105 4월 13 12:09 status-command.js" }, "output": "total 28\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 14:21 .\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 3517 4월 13 14:28 auth-login-command.js\n-rw-rw-r-- 1 lagoon3 lagoon3 554 4월 13 07:06 config-init-command.js\n-rw-rw-r-- 1 lagoon3 lagoon3 450 4월 13 07:06 doctor-command.js\n-rw-rw-r-- 1 lagoon3 lagoon3 1194 4월 13 14:21 run-cli.js\n-rw-rw-r-- 1 lagoon3 lagoon3 2105 4월 13 12:09 status-command.js" }, "toolu_016U73qrT4TYAh4YJ3mD5Bav": { "tool_use_id": "toolu_016U73qrT4TYAh4YJ3mD5Bav", "tool_name": "Read packages/agent/src/cli/run-cli.js", "is_error": false, "content": { "Text": "1\timport { STATUS_COMMANDS, runStatusCommand } from './status-command.js';\n2\timport { runDoctorCommand } from './doctor-command.js';\n3\timport { runConfigInitCommand } from './config-init-command.js';\n4\timport { runAuthLoginCommand } from './auth-login-command.js';\n5\t\n6\texport async function runCli(argv) {\n7\t const [command = 'status', ...rest] = argv;\n8\t\n9\t if (STATUS_COMMANDS.includes(command)) {\n10\t await runStatusCommand(command, rest);\n11\t return;\n12\t }\n13\t\n14\t if (command === 'doctor') {\n15\t await runDoctorCommand();\n16\t return;\n17\t }\n18\t\n19\t if (command === 'config') {\n20\t const [subcommand] = rest;\n21\t if (subcommand === 'init') {\n22\t await runConfigInitCommand();\n23\t return;\n24\t }\n25\t }\n26\t\n27\t if (command === 'auth') {\n28\t const [subcommand, provider, ...args] = rest;\n29\t if (subcommand === 'login') {\n30\t await runAuthLoginCommand(provider, args);\n31\t return;\n32\t }\n33\t }\n34\t\n35\t printHelp();\n36\t}\n37\t\n38\tfunction printHelp() {\n39\t console.log(`ai-usage-agent\\n\\n사용법:\\n ai-usage-agent status\\n ai-usage-agent usage\\n ai-usage-agent doctor\\n ai-usage-agent config init\\n ai-usage-agent auth login \\n ai-usage-agent inspect # 예정\\n ai-usage-agent sync # 예정`);\n40\t}\n41\t" }, "output": "1\timport { STATUS_COMMANDS, runStatusCommand } from './status-command.js';\n2\timport { runDoctorCommand } from './doctor-command.js';\n3\timport { runConfigInitCommand } from './config-init-command.js';\n4\timport { runAuthLoginCommand } from './auth-login-command.js';\n5\t\n6\texport async function runCli(argv) {\n7\t const [command = 'status', ...rest] = argv;\n8\t\n9\t if (STATUS_COMMANDS.includes(command)) {\n10\t await runStatusCommand(command, rest);\n11\t return;\n12\t }\n13\t\n14\t if (command === 'doctor') {\n15\t await runDoctorCommand();\n16\t return;\n17\t }\n18\t\n19\t if (command === 'config') {\n20\t const [subcommand] = rest;\n21\t if (subcommand === 'init') {\n22\t await runConfigInitCommand();\n23\t return;\n24\t }\n25\t }\n26\t\n27\t if (command === 'auth') {\n28\t const [subcommand, provider, ...args] = rest;\n29\t if (subcommand === 'login') {\n30\t await runAuthLoginCommand(provider, args);\n31\t return;\n32\t }\n33\t }\n34\t\n35\t printHelp();\n36\t}\n37\t\n38\tfunction printHelp() {\n39\t console.log(`ai-usage-agent\\n\\n사용법:\\n ai-usage-agent status\\n ai-usage-agent usage\\n ai-usage-agent doctor\\n ai-usage-agent config init\\n ai-usage-agent auth login \\n ai-usage-agent inspect # 예정\\n ai-usage-agent sync # 예정`);\n40\t}\n41\t" }, "toolu_01RxspAmhpdjCfbicadKxnSr": { "tool_use_id": "toolu_01RxspAmhpdjCfbicadKxnSr", "tool_name": "Read packages/agent/src/index.js", "is_error": false, "content": { "Text": "1\texport * from './cli/run-cli.js';\n2\texport * from './config/default-config.js';\n3\texport * from './services/status-service.js';\n4\texport * from './auth/index.js';\n5\t" }, "output": "1\texport * from './cli/run-cli.js';\n2\texport * from './config/default-config.js';\n3\texport * from './services/status-service.js';\n4\texport * from './auth/index.js';\n5\t" }, "toolu_011xpfMpAWe3z36P6LCWYJRy": { "tool_use_id": "toolu_011xpfMpAWe3z36P6LCWYJRy", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/", "is_error": false, "content": { "Text": "total 24\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 14:13 .\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 bin\n-rw-rw-r-- 1 lagoon3 lagoon3 486 4월 13 07:06 package.json\n-rw-rw-r-- 1 lagoon3 lagoon3 2360 4월 13 14:28 README.md\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 src" }, "output": "total 24\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 14:13 .\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 bin\n-rw-rw-r-- 1 lagoon3 lagoon3 486 4월 13 07:06 package.json\n-rw-rw-r-- 1 lagoon3 lagoon3 2360 4월 13 14:28 README.md\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 src" }, "toolu_01VvMybGczx8jYtM1ANctq22": { "tool_use_id": "toolu_01VvMybGczx8jYtM1ANctq22", "tool_name": "Read packages/agent/README.md", "is_error": false, "content": { "Text": "1\t# agent\n2\t\n3\t로컬 환경에서 AI 서비스 usage/quota 상태를 수집하고 CLI로 보여주는 패키지.\n4\t\n5\t## 현재 구현 상태\n6\t\n7\t현재 이 패키지는 설치형 CLI 에이전트의 초기 버전이다.\n8\t\n9\t구현된 것:\n10\t- CLI 엔트리포인트: `bin/ai-usage-agent.js`\n11\t- 명령 라우팅 구조\n12\t- 기본 설정 파일 생성 및 로딩\n13\t- agent 전용 `auth.json` store 경로 해석 및 load/save 골격\n14\t- account resolver: provider별 기본 계정 자동 선택 및 명시 선택\n15\t- `auth login codex` CLI 골격\n16\t- localhost callback 준비 코드 및 포트 fallback 뼈대\n17\t- manual paste 입력 처리 및 placeholder/mock auth store 저장 흐름\n18\t- Codex provider live usage 조회 결과 출력\n19\t- 공통 snapshot 스키마 기반 출력 흐름\n20\t\n21\t아직 미구현 또는 초기 상태:\n22\t- Claude adapter 연결\n23\t- `inspect ` 상세 출력\n24\t- `sync` 업로드 기능\n25\t- 정식 formatter / table renderer\n26\t- schema validation\n27\t\n28\t## 현재 가능한 명령\n29\t\n30\t- `ai-usage-agent status`\n31\t - 현재 설정과 Codex live usage 결과를 출력\n32\t- `ai-usage-agent usage`\n33\t - 현재는 `status`와 동일한 경로로 usage 요약 출력\n34\t- `ai-usage-agent doctor`\n35\t - auth/config/path/endpoint 진단용 명령 자리\n36\t- `ai-usage-agent config init`\n37\t - 기본 설정 파일 생성\n38\t- `ai-usage-agent auth login codex`\n39\t - localhost callback 준비 단계까지 동작\n40\t- `ai-usage-agent auth login codex --manual`\n41\t - callback URL/code 입력을 받아 placeholder/mock 계정을 auth store에 저장\n42\t - 아직 실제 OAuth token exchange는 아님\n43\t\n44\t## 로컬 개발 실행\n45\t\n46\t프로젝트 루트에서:\n47\t\n48\t```bash\n49\tnpm run agent:status\n50\tnpm run agent:usage\n51\tnpm run agent:doctor\n52\tnpm run agent:config:init\n53\t```\n54\t\n55\t또는 직접 실행:\n56\t\n57\t```bash\n58\tnode packages/agent/bin/ai-usage-agent.js status\n59\t```\n60\t\n61\t## 설정 파일\n62\t\n63\t기본 설정 경로:\n64\t\n65\t```text\n66\t~/.config/ai-usage-agent/config.json\n67\t```\n68\t\n69\t현재 기본 설정에는 아래 항목이 들어간다:\n70\t- 출력 포맷\n71\t- sync 사용 여부\n72\t- provider 활성화 여부\n73\t\n74\t## 현재 Codex 연동 방식\n75\t\n76\t- OpenClaw auth profile 저장소를 읽음\n77\t- Codex usage endpoint를 bearer auth로 호출\n78\t- 응답을 공통 snapshot 구조로 변환\n79\t- 시간 필드는 ISO datetime string으로 정규화\n80\t- provider 원본값은 snapshot의 `raw`에 보존\n81\t\n82\t## 예정 명령\n83\t\n84\t- `ai-usage-agent inspect `\n85\t- `ai-usage-agent sync`\n86\t" }, "output": "1\t# agent\n2\t\n3\t로컬 환경에서 AI 서비스 usage/quota 상태를 수집하고 CLI로 보여주는 패키지.\n4\t\n5\t## 현재 구현 상태\n6\t\n7\t현재 이 패키지는 설치형 CLI 에이전트의 초기 버전이다.\n8\t\n9\t구현된 것:\n10\t- CLI 엔트리포인트: `bin/ai-usage-agent.js`\n11\t- 명령 라우팅 구조\n12\t- 기본 설정 파일 생성 및 로딩\n13\t- agent 전용 `auth.json` store 경로 해석 및 load/save 골격\n14\t- account resolver: provider별 기본 계정 자동 선택 및 명시 선택\n15\t- `auth login codex` CLI 골격\n16\t- localhost callback 준비 코드 및 포트 fallback 뼈대\n17\t- manual paste 입력 처리 및 placeholder/mock auth store 저장 흐름\n18\t- Codex provider live usage 조회 결과 출력\n19\t- 공통 snapshot 스키마 기반 출력 흐름\n20\t\n21\t아직 미구현 또는 초기 상태:\n22\t- Claude adapter 연결\n23\t- `inspect ` 상세 출력\n24\t- `sync` 업로드 기능\n25\t- 정식 formatter / table renderer\n26\t- schema validation\n27\t\n28\t## 현재 가능한 명령\n29\t\n30\t- `ai-usage-agent status`\n31\t - 현재 설정과 Codex live usage 결과를 출력\n32\t- `ai-usage-agent usage`\n33\t - 현재는 `status`와 동일한 경로로 usage 요약 출력\n34\t- `ai-usage-agent doctor`\n35\t - auth/config/path/endpoint 진단용 명령 자리\n36\t- `ai-usage-agent config init`\n37\t - 기본 설정 파일 생성\n38\t- `ai-usage-agent auth login codex`\n39\t - localhost callback 준비 단계까지 동작\n40\t- `ai-usage-agent auth login codex --manual`\n41\t - callback URL/code 입력을 받아 placeholder/mock 계정을 auth store에 저장\n42\t - 아직 실제 OAuth token exchange는 아님\n43\t\n44\t## 로컬 개발 실행\n45\t\n46\t프로젝트 루트에서:\n47\t\n48\t```bash\n49\tnpm run agent:status\n50\tnpm run agent:usage\n51\tnpm run agent:doctor\n52\tnpm run agent:config:init\n53\t```\n54\t\n55\t또는 직접 실행:\n56\t\n57\t```bash\n58\tnode packages/agent/bin/ai-usage-agent.js status\n59\t```\n60\t\n61\t## 설정 파일\n62\t\n63\t기본 설정 경로:\n64\t\n65\t```text\n66\t~/.config/ai-usage-agent/config.json\n67\t```\n68\t\n69\t현재 기본 설정에는 아래 항목이 들어간다:\n70\t- 출력 포맷\n71\t- sync 사용 여부\n72\t- provider 활성화 여부\n73\t\n74\t## 현재 Codex 연동 방식\n75\t\n76\t- OpenClaw auth profile 저장소를 읽음\n77\t- Codex usage endpoint를 bearer auth로 호출\n78\t- 응답을 공통 snapshot 구조로 변환\n79\t- 시간 필드는 ISO datetime string으로 정규화\n80\t- provider 원본값은 snapshot의 `raw`에 보존\n81\t\n82\t## 예정 명령\n83\t\n84\t- `ai-usage-agent inspect `\n85\t- `ai-usage-agent sync`\n86\t" }, "toolu_01NA6cnrMFWRhaP75kyzSTPM": { "tool_use_id": "toolu_01NA6cnrMFWRhaP75kyzSTPM", "tool_name": "Read packages/agent/package.json", "is_error": false, "content": { "Text": "1\t{\n2\t \"name\": \"@llagoon3/ai-usage-agent\",\n3\t \"version\": \"0.1.0\",\n4\t \"private\": true,\n5\t \"description\": \"로컬 AI 사용량 수집 및 확인용 CLI 에이전트\",\n6\t \"type\": \"module\",\n7\t \"bin\": {\n8\t \"ai-usage-agent\": \"./bin/ai-usage-agent.js\"\n9\t },\n10\t \"main\": \"./src/index.js\",\n11\t \"files\": [\n12\t \"bin\",\n13\t \"src\"\n14\t ],\n15\t \"scripts\": {\n16\t \"dev\": \"node ./bin/ai-usage-agent.js status\",\n17\t \"status\": \"node ./bin/ai-usage-agent.js status\",\n18\t \"doctor\": \"node ./bin/ai-usage-agent.js doctor\"\n19\t }\n20\t}\n21\t" }, "output": "1\t{\n2\t \"name\": \"@llagoon3/ai-usage-agent\",\n3\t \"version\": \"0.1.0\",\n4\t \"private\": true,\n5\t \"description\": \"로컬 AI 사용량 수집 및 확인용 CLI 에이전트\",\n6\t \"type\": \"module\",\n7\t \"bin\": {\n8\t \"ai-usage-agent\": \"./bin/ai-usage-agent.js\"\n9\t },\n10\t \"main\": \"./src/index.js\",\n11\t \"files\": [\n12\t \"bin\",\n13\t \"src\"\n14\t ],\n15\t \"scripts\": {\n16\t \"dev\": \"node ./bin/ai-usage-agent.js status\",\n17\t \"status\": \"node ./bin/ai-usage-agent.js status\",\n18\t \"doctor\": \"node ./bin/ai-usage-agent.js doctor\"\n19\t }\n20\t}\n21\t" }, "toolu_01RJRADkeEsYqurDKoctN6Vd": { "tool_use_id": "toolu_01RJRADkeEsYqurDKoctN6Vd", "tool_name": "cat /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js 2>/dev/null | head -30", "is_error": false, "content": { "Text": "#!/usr/bin/env node\nimport { runCli } from '../src/cli/run-cli.js';\n\nrunCli(process.argv.slice(2)).catch((error) => {\n console.error('[ai-usage-agent] 실행 중 오류가 발생했습니다.');\n console.error(error instanceof Error ? error.message : String(error));\n process.exit(1);\n});" }, "output": "#!/usr/bin/env node\nimport { runCli } from '../src/cli/run-cli.js';\n\nrunCli(process.argv.slice(2)).catch((error) => {\n console.error('[ai-usage-agent] 실행 중 오류가 발생했습니다.');\n console.error(error instanceof Error ? error.message : String(error));\n process.exit(1);\n});" }, "toolu_012wMDRzAQPW7XGvmk4D1DdT": { "tool_use_id": "toolu_012wMDRzAQPW7XGvmk4D1DdT", "tool_name": "Read package.json", "is_error": false, "content": { "Text": "1\t{\n2\t \"name\": \"ai-usage-dashboard\",\n3\t \"private\": true,\n4\t \"version\": \"0.1.0\",\n5\t \"description\": \"Integrated dashboard for AI service usage, quota windows, and availability\",\n6\t \"packageManager\": \"npm@11.6.2\",\n7\t \"workspaces\": [\n8\t \"apps/*\",\n9\t \"packages/*\"\n10\t ],\n11\t \"scripts\": {\n12\t \"dev\": \"echo \\\"TODO: wire dev commands\\\"\",\n13\t \"build\": \"echo \\\"TODO: wire build commands\\\"\",\n14\t \"lint\": \"echo \\\"TODO: wire lint commands\\\"\",\n15\t \"test\": \"echo \\\"TODO: wire test commands\\\"\",\n16\t \"agent:status\": \"node ./packages/agent/bin/ai-usage-agent.js status\",\n17\t \"agent:usage\": \"node ./packages/agent/bin/ai-usage-agent.js usage\",\n18\t \"agent:doctor\": \"node ./packages/agent/bin/ai-usage-agent.js doctor\",\n19\t \"agent:config:init\": \"node ./packages/agent/bin/ai-usage-agent.js config init\"\n20\t }\n21\t}\n22\t" }, "output": "1\t{\n2\t \"name\": \"ai-usage-dashboard\",\n3\t \"private\": true,\n4\t \"version\": \"0.1.0\",\n5\t \"description\": \"Integrated dashboard for AI service usage, quota windows, and availability\",\n6\t \"packageManager\": \"npm@11.6.2\",\n7\t \"workspaces\": [\n8\t \"apps/*\",\n9\t \"packages/*\"\n10\t ],\n11\t \"scripts\": {\n12\t \"dev\": \"echo \\\"TODO: wire dev commands\\\"\",\n13\t \"build\": \"echo \\\"TODO: wire build commands\\\"\",\n14\t \"lint\": \"echo \\\"TODO: wire lint commands\\\"\",\n15\t \"test\": \"echo \\\"TODO: wire test commands\\\"\",\n16\t \"agent:status\": \"node ./packages/agent/bin/ai-usage-agent.js status\",\n17\t \"agent:usage\": \"node ./packages/agent/bin/ai-usage-agent.js usage\",\n18\t \"agent:doctor\": \"node ./packages/agent/bin/ai-usage-agent.js doctor\",\n19\t \"agent:config:init\": \"node ./packages/agent/bin/ai-usage-agent.js config init\"\n20\t }\n21\t}\n22\t" }, "toolu_01PKMz3PEhwUMkSYAHCYLWNp": { "tool_use_id": "toolu_01PKMz3PEhwUMkSYAHCYLWNp", "tool_name": "Read docs/architecture.md", "is_error": false, "content": { "Text": "1\t# 아키텍처\n2\t\n3\t## 요약\n4\t\n5\t이 프로젝트는 하이브리드 구조를 사용한다.\n6\t\n7\t- 로컬 인증 및 세션 재사용이 필요한 provider는 로컬 에이전트에서 처리\n8\t- 공식 usage endpoint가 안정적인 provider는 백엔드에서 직접 poll\n9\t- 최종 상태 표시는 공통 정규화 계층을 통해 통합\n10\t\n11\t## 주요 구성 요소\n12\t\n13\t### 로컬 에이전트\n14\t- provider별 인증 해석\n15\t- 자체 auth broker\n16\t- 로컬 usage endpoint 호출\n17\t- 이벤트 관측\n18\t- 버퍼링 및 업로드\n19\t\n20\t#### 인증 계층\n21\t- 기본 흐름: localhost callback OAuth\n22\t- fallback: device code\n23\t- fallback: manual callback/code paste\n24\t- 장기적으로 OpenClaw 비의존 auth store 사용\n25\t- migration 용도로만 OpenClaw import 지원 가능\n26\t\n27\t### 백엔드 API\n28\t- 정규화 이벤트 수집\n29\t- 가능한 provider 직접 poll\n30\t- 상태 집계\n31\t- 대시보드용 API 제공\n32\t\n33\t### 웹 대시보드\n34\t- 전체 overview\n35\t- provider / account 상세\n36\t- timeline\n37\t- health 표시\n38\t" }, "output": "1\t# 아키텍처\n2\t\n3\t## 요약\n4\t\n5\t이 프로젝트는 하이브리드 구조를 사용한다.\n6\t\n7\t- 로컬 인증 및 세션 재사용이 필요한 provider는 로컬 에이전트에서 처리\n8\t- 공식 usage endpoint가 안정적인 provider는 백엔드에서 직접 poll\n9\t- 최종 상태 표시는 공통 정규화 계층을 통해 통합\n10\t\n11\t## 주요 구성 요소\n12\t\n13\t### 로컬 에이전트\n14\t- provider별 인증 해석\n15\t- 자체 auth broker\n16\t- 로컬 usage endpoint 호출\n17\t- 이벤트 관측\n18\t- 버퍼링 및 업로드\n19\t\n20\t#### 인증 계층\n21\t- 기본 흐름: localhost callback OAuth\n22\t- fallback: device code\n23\t- fallback: manual callback/code paste\n24\t- 장기적으로 OpenClaw 비의존 auth store 사용\n25\t- migration 용도로만 OpenClaw import 지원 가능\n26\t\n27\t### 백엔드 API\n28\t- 정규화 이벤트 수집\n29\t- 가능한 provider 직접 poll\n30\t- 상태 집계\n31\t- 대시보드용 API 제공\n32\t\n33\t### 웹 대시보드\n34\t- 전체 overview\n35\t- provider / account 상세\n36\t- timeline\n37\t- health 표시\n38\t" }, "toolu_013LmqBuci16BYyfYQ4oRs7E": { "tool_use_id": "toolu_013LmqBuci16BYyfYQ4oRs7E", "tool_name": "Read packages/agent/src/cli/doctor-command.js", "is_error": false, "content": { "Text": "1\timport { resolveAgentConfigPath } from '../config/config-path.js';\n2\t\n3\texport async function runDoctorCommand() {\n4\t console.log('ai-usage-agent doctor');\n5\t console.log('---------------------');\n6\t console.log(`예상 설정 파일 경로: ${resolveAgentConfigPath()}`);\n7\t console.log('향후 점검 예정 항목:');\n8\t console.log('- provider auth 존재 여부');\n9\t console.log('- config 유효성');\n10\t console.log('- endpoint 호출 가능 여부');\n11\t}\n12\t" }, "output": "1\timport { resolveAgentConfigPath } from '../config/config-path.js';\n2\t\n3\texport async function runDoctorCommand() {\n4\t console.log('ai-usage-agent doctor');\n5\t console.log('---------------------');\n6\t console.log(`예상 설정 파일 경로: ${resolveAgentConfigPath()}`);\n7\t console.log('향후 점검 예정 항목:');\n8\t console.log('- provider auth 존재 여부');\n9\t console.log('- config 유효성');\n10\t console.log('- endpoint 호출 가능 여부');\n11\t}\n12\t" }, "toolu_01U9LCJUq2sAabHaQnKQxGKm": { "tool_use_id": "toolu_01U9LCJUq2sAabHaQnKQxGKm", "tool_name": "Read packages/agent/src/cli/status-command.js", "is_error": false, "content": { "Text": "1\timport { getStatusSnapshot } from '../services/status-service.js';\n2\t\n3\texport const STATUS_COMMANDS = ['status', 'usage'];\n4\t\n5\texport async function runStatusCommand(command) {\n6\t const snapshot = await getStatusSnapshot();\n7\t\n8\t console.log(`명령: ${command}`);\n9\t console.log('로컬 에이전트 상태 요약');\n10\t console.log('-----------------------');\n11\t console.log(`설정 파일: ${snapshot.configPath}`);\n12\t console.log(`Codex 사용: ${snapshot.providers.codex.enabled ? 'enabled' : 'disabled'}`);\n13\t console.log(`Claude 사용: ${snapshot.providers.claude.enabled ? 'enabled' : 'disabled'}`);\n14\t console.log(`서버 sync: ${snapshot.sync.enabled ? 'enabled' : 'disabled'}`);\n15\t console.log('');\n16\t printCodexSection(snapshot.codex);\n17\t}\n18\t\n19\tfunction printCodexSection(codex) {\n20\t console.log('Codex usage');\n21\t console.log('-----------');\n22\t\n23\t if (!codex.enabled) {\n24\t console.log('비활성화됨');\n25\t return;\n26\t }\n27\t\n28\t console.log(`Auth profiles 경로: ${codex.authProfilesPath}`);\n29\t\n30\t if (codex.snapshots.length === 0) {\n31\t console.log('발견된 Codex OAuth 프로필이 없습니다.');\n32\t return;\n33\t }\n34\t\n35\t for (const snapshot of codex.snapshots) {\n36\t const label = snapshot.account.email ? `${snapshot.account.profileId} (${snapshot.account.email})` : snapshot.account.profileId;\n37\t console.log(`- ${label}`);\n38\t console.log(` 상태: ${snapshot.status.ok ? `OK (${snapshot.status.httpStatus})` : `실패 (${snapshot.status.httpStatus ?? 'network/error'})`}`);\n39\t console.log(` source=${snapshot.source}, authType=${snapshot.authType}, confidence=${snapshot.confidence}`);\n40\t if (snapshot.account.plan) {\n41\t console.log(` 플랜: ${snapshot.account.plan}`);\n42\t }\n43\t for (const window of snapshot.usageWindows) {\n44\t console.log(` ${window.kind}: ${formatWindow(window)}`);\n45\t }\n46\t if (snapshot.status.message) {\n47\t console.log(` 에러: ${snapshot.status.message}`);\n48\t }\n49\t }\n50\t}\n51\t\n52\tfunction formatWindow(window) {\n53\t const reset = window.resetAt ? `reset_at=${window.resetAt}` : 'reset_at=unknown';\n54\t const used = window.usedPercent ?? 'unknown';\n55\t return `used_percent=${used}, ${reset}`;\n56\t}\n57\t" }, "output": "1\timport { getStatusSnapshot } from '../services/status-service.js';\n2\t\n3\texport const STATUS_COMMANDS = ['status', 'usage'];\n4\t\n5\texport async function runStatusCommand(command) {\n6\t const snapshot = await getStatusSnapshot();\n7\t\n8\t console.log(`명령: ${command}`);\n9\t console.log('로컬 에이전트 상태 요약');\n10\t console.log('-----------------------');\n11\t console.log(`설정 파일: ${snapshot.configPath}`);\n12\t console.log(`Codex 사용: ${snapshot.providers.codex.enabled ? 'enabled' : 'disabled'}`);\n13\t console.log(`Claude 사용: ${snapshot.providers.claude.enabled ? 'enabled' : 'disabled'}`);\n14\t console.log(`서버 sync: ${snapshot.sync.enabled ? 'enabled' : 'disabled'}`);\n15\t console.log('');\n16\t printCodexSection(snapshot.codex);\n17\t}\n18\t\n19\tfunction printCodexSection(codex) {\n20\t console.log('Codex usage');\n21\t console.log('-----------');\n22\t\n23\t if (!codex.enabled) {\n24\t console.log('비활성화됨');\n25\t return;\n26\t }\n27\t\n28\t console.log(`Auth profiles 경로: ${codex.authProfilesPath}`);\n29\t\n30\t if (codex.snapshots.length === 0) {\n31\t console.log('발견된 Codex OAuth 프로필이 없습니다.');\n32\t return;\n33\t }\n34\t\n35\t for (const snapshot of codex.snapshots) {\n36\t const label = snapshot.account.email ? `${snapshot.account.profileId} (${snapshot.account.email})` : snapshot.account.profileId;\n37\t console.log(`- ${label}`);\n38\t console.log(` 상태: ${snapshot.status.ok ? `OK (${snapshot.status.httpStatus})` : `실패 (${snapshot.status.httpStatus ?? 'network/error'})`}`);\n39\t console.log(` source=${snapshot.source}, authType=${snapshot.authType}, confidence=${snapshot.confidence}`);\n40\t if (snapshot.account.plan) {\n41\t console.log(` 플랜: ${snapshot.account.plan}`);\n42\t }\n43\t for (const window of snapshot.usageWindows) {\n44\t console.log(` ${window.kind}: ${formatWindow(window)}`);\n45\t }\n46\t if (snapshot.status.message) {\n47\t console.log(` 에러: ${snapshot.status.message}`);\n48\t }\n49\t }\n50\t}\n51\t\n52\tfunction formatWindow(window) {\n53\t const reset = window.resetAt ? `reset_at=${window.resetAt}` : 'reset_at=unknown';\n54\t const used = window.usedPercent ?? 'unknown';\n55\t return `used_percent=${used}, ${reset}`;\n56\t}\n57\t" }, "toolu_01ENo6hGXwB8MBVgQzCdg89w": { "tool_use_id": "toolu_01ENo6hGXwB8MBVgQzCdg89w", "tool_name": "Read packages/agent/src/cli/config-init-command.js", "is_error": false, "content": { "Text": "1\timport fs from 'node:fs/promises';\n2\timport { createDefaultConfig } from '../config/default-config.js';\n3\timport { resolveAgentConfigDir, resolveAgentConfigPath } from '../config/config-path.js';\n4\t\n5\texport async function runConfigInitCommand() {\n6\t const dir = resolveAgentConfigDir();\n7\t const file = resolveAgentConfigPath();\n8\t const config = createDefaultConfig();\n9\t\n10\t await fs.mkdir(dir, { recursive: true });\n11\t await fs.writeFile(file, `${JSON.stringify(config, null, 2)}\\n`, 'utf8');\n12\t\n13\t console.log(`기본 설정 파일을 생성했습니다: ${file}`);\n14\t}\n15\t" }, "output": "1\timport fs from 'node:fs/promises';\n2\timport { createDefaultConfig } from '../config/default-config.js';\n3\timport { resolveAgentConfigDir, resolveAgentConfigPath } from '../config/config-path.js';\n4\t\n5\texport async function runConfigInitCommand() {\n6\t const dir = resolveAgentConfigDir();\n7\t const file = resolveAgentConfigPath();\n8\t const config = createDefaultConfig();\n9\t\n10\t await fs.mkdir(dir, { recursive: true });\n11\t await fs.writeFile(file, `${JSON.stringify(config, null, 2)}\\n`, 'utf8');\n12\t\n13\t console.log(`기본 설정 파일을 생성했습니다: ${file}`);\n14\t}\n15\t" }, "toolu_012U12W1wp1vWKqCxy7HNngH": { "tool_use_id": "toolu_012U12W1wp1vWKqCxy7HNngH", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/", "is_error": false, "content": { "Text": "total 16\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 .\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 270 4월 13 07:06 config-path.js\n-rw-rw-r-- 1 lagoon3 lagoon3 378 4월 13 07:06 default-config.js" }, "output": "total 16\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 .\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 270 4월 13 07:06 config-path.js\n-rw-rw-r-- 1 lagoon3 lagoon3 378 4월 13 07:06 default-config.js" }, "toolu_01AsGEA9LF2L5ktnQoKqNToy": { "tool_use_id": "toolu_01AsGEA9LF2L5ktnQoKqNToy", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/services/", "is_error": false, "content": { "Text": "total 12\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 .\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 2446 4월 13 12:09 status-service.js" }, "output": "total 12\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 .\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 2446 4월 13 12:09 status-service.js" }, "toolu_0177RN7Zm2N7vwKCNdGVxJya": { "tool_use_id": "toolu_0177RN7Zm2N7vwKCNdGVxJya", "tool_name": "Read packages/agent/src/config/config-path.js", "is_error": false, "content": { "Text": "1\timport path from 'node:path';\n2\timport os from 'node:os';\n3\t\n4\texport function resolveAgentConfigDir() {\n5\t return path.join(os.homedir(), '.config', 'ai-usage-agent');\n6\t}\n7\t\n8\texport function resolveAgentConfigPath() {\n9\t return path.join(resolveAgentConfigDir(), 'config.json');\n10\t}\n11\t" }, "output": "1\timport path from 'node:path';\n2\timport os from 'node:os';\n3\t\n4\texport function resolveAgentConfigDir() {\n5\t return path.join(os.homedir(), '.config', 'ai-usage-agent');\n6\t}\n7\t\n8\texport function resolveAgentConfigPath() {\n9\t return path.join(resolveAgentConfigDir(), 'config.json');\n10\t}\n11\t" }, "toolu_01KB15xKcaXFTytbM94CTR6v": { "tool_use_id": "toolu_01KB15xKcaXFTytbM94CTR6v", "tool_name": "Read packages/agent/src/config/default-config.js", "is_error": false, "content": { "Text": "1\texport const DEFAULT_AGENT_CONFIG = {\n2\t version: 1,\n3\t output: {\n4\t format: 'table',\n5\t timezone: 'Asia/Seoul'\n6\t },\n7\t sync: {\n8\t enabled: false,\n9\t endpoint: '',\n10\t apiKey: ''\n11\t },\n12\t providers: {\n13\t codex: {\n14\t enabled: true\n15\t },\n16\t claude: {\n17\t enabled: true\n18\t }\n19\t }\n20\t};\n21\t\n22\texport function createDefaultConfig() {\n23\t return structuredClone(DEFAULT_AGENT_CONFIG);\n24\t}\n25\t" }, "output": "1\texport const DEFAULT_AGENT_CONFIG = {\n2\t version: 1,\n3\t output: {\n4\t format: 'table',\n5\t timezone: 'Asia/Seoul'\n6\t },\n7\t sync: {\n8\t enabled: false,\n9\t endpoint: '',\n10\t apiKey: ''\n11\t },\n12\t providers: {\n13\t codex: {\n14\t enabled: true\n15\t },\n16\t claude: {\n17\t enabled: true\n18\t }\n19\t }\n20\t};\n21\t\n22\texport function createDefaultConfig() {\n23\t return structuredClone(DEFAULT_AGENT_CONFIG);\n24\t}\n25\t" }, "toolu_01LG5NQoGyApjdWHs7nC652E": { "tool_use_id": "toolu_01LG5NQoGyApjdWHs7nC652E", "tool_name": "Read packages/agent/src/services/status-service.js", "is_error": false, "content": { "Text": "1\timport fs from 'node:fs';\n2\timport { createDefaultConfig } from '../config/default-config.js';\n3\timport { resolveAgentConfigPath } from '../config/config-path.js';\n4\timport { fetchCodexUsage, getDefaultAuthProfilesPath, readCodexAuthProfiles } from '../../../provider-adapters/src/codex/index.js';\n5\timport { SCHEMA_VERSION } from '../../../schemas/src/index.js';\n6\t\n7\texport async function getStatusSnapshot() {\n8\t const configPath = resolveAgentConfigPath();\n9\t const config = loadConfig(configPath);\n10\t const codex = await getCodexSnapshot(config);\n11\t\n12\t return {\n13\t schemaVersion: SCHEMA_VERSION,\n14\t configPath,\n15\t providers: config.providers,\n16\t sync: config.sync,\n17\t codex\n18\t };\n19\t}\n20\t\n21\tasync function getCodexSnapshot(config) {\n22\t if (!config.providers?.codex?.enabled) {\n23\t return {\n24\t enabled: false,\n25\t authProfilesPath: getDefaultAuthProfilesPath(),\n26\t snapshots: []\n27\t };\n28\t }\n29\t\n30\t const profiles = readCodexAuthProfiles();\n31\t const snapshots = [];\n32\t\n33\t for (const profile of profiles) {\n34\t try {\n35\t snapshots.push(await fetchCodexUsage(profile));\n36\t } catch (error) {\n37\t snapshots.push(createCodexFailureSnapshot(profile, error));\n38\t }\n39\t }\n40\t\n41\t return {\n42\t enabled: true,\n43\t authProfilesPath: getDefaultAuthProfilesPath(),\n44\t snapshots\n45\t };\n46\t}\n47\t\n48\tfunction createCodexFailureSnapshot(profile, error) {\n49\t const capturedAt = new Date().toISOString();\n50\t const message = error instanceof Error ? error.message : String(error);\n51\t\n52\t return {\n53\t schemaVersion: SCHEMA_VERSION,\n54\t snapshotId: `codex:${profile.id}:${capturedAt}`,\n55\t capturedAt,\n56\t provider: {\n57\t id: 'openai-codex',\n58\t displayName: 'Codex',\n59\t region: null\n60\t },\n61\t account: {\n62\t profileId: profile.id,\n63\t accountId: profile.accountId ?? null,\n64\t email: profile.email ?? null,\n65\t plan: null\n66\t },\n67\t source: 'provider_usage_endpoint',\n68\t authType: 'oauth',\n69\t confidence: 'low',\n70\t status: {\n71\t bucket: 'unknown',\n72\t ok: false,\n73\t httpStatus: null,\n74\t message,\n75\t lastSuccessAt: null,\n76\t lastFailureAt: capturedAt\n77\t },\n78\t usageWindows: [],\n79\t credits: {\n80\t balance: null,\n81\t unit: null\n82\t },\n83\t raw: {\n84\t provider: 'openai-codex',\n85\t rawError: message\n86\t }\n87\t };\n88\t}\n89\t\n90\tfunction loadConfig(configPath) {\n91\t if (!fs.existsSync(configPath)) {\n92\t return createDefaultConfig();\n93\t }\n94\t\n95\t try {\n96\t const raw = fs.readFileSync(configPath, 'utf8');\n97\t return JSON.parse(raw);\n98\t } catch {\n99\t return createDefaultConfig();\n100\t }\n101\t}\n102\t" }, "output": "1\timport fs from 'node:fs';\n2\timport { createDefaultConfig } from '../config/default-config.js';\n3\timport { resolveAgentConfigPath } from '../config/config-path.js';\n4\timport { fetchCodexUsage, getDefaultAuthProfilesPath, readCodexAuthProfiles } from '../../../provider-adapters/src/codex/index.js';\n5\timport { SCHEMA_VERSION } from '../../../schemas/src/index.js';\n6\t\n7\texport async function getStatusSnapshot() {\n8\t const configPath = resolveAgentConfigPath();\n9\t const config = loadConfig(configPath);\n10\t const codex = await getCodexSnapshot(config);\n11\t\n12\t return {\n13\t schemaVersion: SCHEMA_VERSION,\n14\t configPath,\n15\t providers: config.providers,\n16\t sync: config.sync,\n17\t codex\n18\t };\n19\t}\n20\t\n21\tasync function getCodexSnapshot(config) {\n22\t if (!config.providers?.codex?.enabled) {\n23\t return {\n24\t enabled: false,\n25\t authProfilesPath: getDefaultAuthProfilesPath(),\n26\t snapshots: []\n27\t };\n28\t }\n29\t\n30\t const profiles = readCodexAuthProfiles();\n31\t const snapshots = [];\n32\t\n33\t for (const profile of profiles) {\n34\t try {\n35\t snapshots.push(await fetchCodexUsage(profile));\n36\t } catch (error) {\n37\t snapshots.push(createCodexFailureSnapshot(profile, error));\n38\t }\n39\t }\n40\t\n41\t return {\n42\t enabled: true,\n43\t authProfilesPath: getDefaultAuthProfilesPath(),\n44\t snapshots\n45\t };\n46\t}\n47\t\n48\tfunction createCodexFailureSnapshot(profile, error) {\n49\t const capturedAt = new Date().toISOString();\n50\t const message = error instanceof Error ? error.message : String(error);\n51\t\n52\t return {\n53\t schemaVersion: SCHEMA_VERSION,\n54\t snapshotId: `codex:${profile.id}:${capturedAt}`,\n55\t capturedAt,\n56\t provider: {\n57\t id: 'openai-codex',\n58\t displayName: 'Codex',\n59\t region: null\n60\t },\n61\t account: {\n62\t profileId: profile.id,\n63\t accountId: profile.accountId ?? null,\n64\t email: profile.email ?? null,\n65\t plan: null\n66\t },\n67\t source: 'provider_usage_endpoint',\n68\t authType: 'oauth',\n69\t confidence: 'low',\n70\t status: {\n71\t bucket: 'unknown',\n72\t ok: false,\n73\t httpStatus: null,\n74\t message,\n75\t lastSuccessAt: null,\n76\t lastFailureAt: capturedAt\n77\t },\n78\t usageWindows: [],\n79\t credits: {\n80\t balance: null,\n81\t unit: null\n82\t },\n83\t raw: {\n84\t provider: 'openai-codex',\n85\t rawError: message\n86\t }\n87\t };\n88\t}\n89\t\n90\tfunction loadConfig(configPath) {\n91\t if (!fs.existsSync(configPath)) {\n92\t return createDefaultConfig();\n93\t }\n94\t\n95\t try {\n96\t const raw = fs.readFileSync(configPath, 'utf8');\n97\t return JSON.parse(raw);\n98\t } catch {\n99\t return createDefaultConfig();\n100\t }\n101\t}\n102\t" }, "toolu_01Ubu3d3aF4dzAnVTTJsRFXj": { "tool_use_id": "toolu_01Ubu3d3aF4dzAnVTTJsRFXj", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex -type f -name \"*.js\" | sort", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/fetch-codex-usage.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/index.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/read-codex-auth-profiles.js" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/fetch-codex-usage.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/index.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/read-codex-auth-profiles.js" }, "toolu_01ApRWBDuMxm1ctWYiWKiT2s": { "tool_use_id": "toolu_01ApRWBDuMxm1ctWYiWKiT2s", "tool_name": "Read packages/provider-adapters/src/codex/index.js", "is_error": false, "content": { "Text": "1\texport * from './read-codex-auth-profiles.js';\n2\texport * from './fetch-codex-usage.js';\n3\t" }, "output": "1\texport * from './read-codex-auth-profiles.js';\n2\texport * from './fetch-codex-usage.js';\n3\t" }, "toolu_0112GCDeB5fXacyDQcBUZT9g": { "tool_use_id": "toolu_0112GCDeB5fXacyDQcBUZT9g", "tool_name": "Read packages/provider-adapters/src/codex/fetch-codex-usage.js", "is_error": false, "content": { "Text": "1\timport { SCHEMA_VERSION } from '../../../schemas/src/index.js';\n2\t\n3\texport async function fetchCodexUsage(profile, options = {}) {\n4\t const fetchImpl = options.fetchImpl ?? fetch;\n5\t const capturedAt = options.capturedAt ?? new Date();\n6\t\n7\t const headers = {\n8\t Authorization: `Bearer ${profile.accessToken}`,\n9\t Accept: 'application/json',\n10\t 'User-Agent': 'CodexBar'\n11\t };\n12\t\n13\t if (profile.accountId) {\n14\t headers['ChatGPT-Account-Id'] = profile.accountId;\n15\t }\n16\t\n17\t const response = await fetchImpl('https://chatgpt.com/backend-api/wham/usage', {\n18\t method: 'GET',\n19\t headers\n20\t });\n21\t\n22\t const text = await response.text();\n23\t let data = null;\n24\t try {\n25\t data = JSON.parse(text);\n26\t } catch {\n27\t data = null;\n28\t }\n29\t\n30\t return createCodexUsageSnapshot({\n31\t profile,\n32\t capturedAt,\n33\t responseStatus: response.status,\n34\t ok: response.ok,\n35\t data,\n36\t rawText: text\n37\t });\n38\t}\n39\t\n40\tfunction createCodexUsageSnapshot({ profile, capturedAt, responseStatus, ok, data, rawText }) {\n41\t const capturedAtIso = toIsoString(capturedAt);\n42\t const lastSuccessAt = ok ? capturedAtIso : null;\n43\t const lastFailureAt = ok ? null : capturedAtIso;\n44\t\n45\t return {\n46\t schemaVersion: SCHEMA_VERSION,\n47\t snapshotId: `codex:${profile.id}:${capturedAtIso}`,\n48\t capturedAt: capturedAtIso,\n49\t provider: {\n50\t id: 'openai-codex',\n51\t displayName: 'Codex',\n52\t region: null\n53\t },\n54\t account: {\n55\t profileId: profile.id,\n56\t accountId: profile.accountId ?? null,\n57\t email: profile.email ?? null,\n58\t plan: data?.plan_type ?? null\n59\t },\n60\t source: 'provider_usage_endpoint',\n61\t authType: 'oauth',\n62\t confidence: ok ? 'high' : 'medium',\n63\t status: {\n64\t bucket: resolveStatusBucket(responseStatus, ok),\n65\t ok,\n66\t httpStatus: responseStatus,\n67\t message: ok ? null : safeErrorMessage(rawText),\n68\t lastSuccessAt,\n69\t lastFailureAt\n70\t },\n71\t usageWindows: [\n72\t normalizeWindow('primary', data?.rate_limit?.primary_window),\n73\t normalizeWindow('secondary', data?.rate_limit?.secondary_window)\n74\t ].filter(Boolean),\n75\t credits: {\n76\t balance: data?.credits?.balance ?? null,\n77\t unit: null\n78\t },\n79\t raw: {\n80\t provider: 'openai-codex',\n81\t rate_limit: data?.rate_limit ?? null,\n82\t credits: data?.credits ?? null,\n83\t plan_type: data?.plan_type ?? null,\n84\t rawError: ok ? null : rawText.slice(0, 500)\n85\t }\n86\t };\n87\t}\n88\t\n89\tfunction normalizeWindow(kind, window) {\n90\t if (!window) return null;\n91\t\n92\t return {\n93\t kind,\n94\t label: `${kind} window`,\n95\t usedPercent: window.used_percent ?? null,\n96\t usedAmount: null,\n97\t limitAmount: null,\n98\t remainingAmount: null,\n99\t windowSeconds: window.limit_window_seconds ?? null,\n100\t resetAt: toIsoFromEpochSeconds(window.reset_at)\n101\t };\n102\t}\n103\t\n104\tfunction resolveStatusBucket(status, ok) {\n105\t if (ok) return 'ok';\n106\t if (status === 401 || status === 403) return 'auth';\n107\t if (status === 429) return 'rate_limit';\n108\t if (status === 402) return 'billing';\n109\t if (status >= 500) return 'overloaded';\n110\t return 'unknown';\n111\t}\n112\t\n113\tfunction toIsoFromEpochSeconds(value) {\n114\t if (typeof value !== 'number') return null;\n115\t return new Date(value * 1000).toISOString();\n116\t}\n117\t\n118\tfunction toIsoString(value) {\n119\t return value instanceof Date ? value.toISOString() : new Date(value).toISOString();\n120\t}\n121\t\n122\tfunction safeErrorMessage(rawText) {\n123\t return rawText ? rawText.slice(0, 500) : 'unknown error';\n124\t}\n125\t" }, "output": "1\timport { SCHEMA_VERSION } from '../../../schemas/src/index.js';\n2\t\n3\texport async function fetchCodexUsage(profile, options = {}) {\n4\t const fetchImpl = options.fetchImpl ?? fetch;\n5\t const capturedAt = options.capturedAt ?? new Date();\n6\t\n7\t const headers = {\n8\t Authorization: `Bearer ${profile.accessToken}`,\n9\t Accept: 'application/json',\n10\t 'User-Agent': 'CodexBar'\n11\t };\n12\t\n13\t if (profile.accountId) {\n14\t headers['ChatGPT-Account-Id'] = profile.accountId;\n15\t }\n16\t\n17\t const response = await fetchImpl('https://chatgpt.com/backend-api/wham/usage', {\n18\t method: 'GET',\n19\t headers\n20\t });\n21\t\n22\t const text = await response.text();\n23\t let data = null;\n24\t try {\n25\t data = JSON.parse(text);\n26\t } catch {\n27\t data = null;\n28\t }\n29\t\n30\t return createCodexUsageSnapshot({\n31\t profile,\n32\t capturedAt,\n33\t responseStatus: response.status,\n34\t ok: response.ok,\n35\t data,\n36\t rawText: text\n37\t });\n38\t}\n39\t\n40\tfunction createCodexUsageSnapshot({ profile, capturedAt, responseStatus, ok, data, rawText }) {\n41\t const capturedAtIso = toIsoString(capturedAt);\n42\t const lastSuccessAt = ok ? capturedAtIso : null;\n43\t const lastFailureAt = ok ? null : capturedAtIso;\n44\t\n45\t return {\n46\t schemaVersion: SCHEMA_VERSION,\n47\t snapshotId: `codex:${profile.id}:${capturedAtIso}`,\n48\t capturedAt: capturedAtIso,\n49\t provider: {\n50\t id: 'openai-codex',\n51\t displayName: 'Codex',\n52\t region: null\n53\t },\n54\t account: {\n55\t profileId: profile.id,\n56\t accountId: profile.accountId ?? null,\n57\t email: profile.email ?? null,\n58\t plan: data?.plan_type ?? null\n59\t },\n60\t source: 'provider_usage_endpoint',\n61\t authType: 'oauth',\n62\t confidence: ok ? 'high' : 'medium',\n63\t status: {\n64\t bucket: resolveStatusBucket(responseStatus, ok),\n65\t ok,\n66\t httpStatus: responseStatus,\n67\t message: ok ? null : safeErrorMessage(rawText),\n68\t lastSuccessAt,\n69\t lastFailureAt\n70\t },\n71\t usageWindows: [\n72\t normalizeWindow('primary', data?.rate_limit?.primary_window),\n73\t normalizeWindow('secondary', data?.rate_limit?.secondary_window)\n74\t ].filter(Boolean),\n75\t credits: {\n76\t balance: data?.credits?.balance ?? null,\n77\t unit: null\n78\t },\n79\t raw: {\n80\t provider: 'openai-codex',\n81\t rate_limit: data?.rate_limit ?? null,\n82\t credits: data?.credits ?? null,\n83\t plan_type: data?.plan_type ?? null,\n84\t rawError: ok ? null : rawText.slice(0, 500)\n85\t }\n86\t };\n87\t}\n88\t\n89\tfunction normalizeWindow(kind, window) {\n90\t if (!window) return null;\n91\t\n92\t return {\n93\t kind,\n94\t label: `${kind} window`,\n95\t usedPercent: window.used_percent ?? null,\n96\t usedAmount: null,\n97\t limitAmount: null,\n98\t remainingAmount: null,\n99\t windowSeconds: window.limit_window_seconds ?? null,\n100\t resetAt: toIsoFromEpochSeconds(window.reset_at)\n101\t };\n102\t}\n103\t\n104\tfunction resolveStatusBucket(status, ok) {\n105\t if (ok) return 'ok';\n106\t if (status === 401 || status === 403) return 'auth';\n107\t if (status === 429) return 'rate_limit';\n108\t if (status === 402) return 'billing';\n109\t if (status >= 500) return 'overloaded';\n110\t return 'unknown';\n111\t}\n112\t\n113\tfunction toIsoFromEpochSeconds(value) {\n114\t if (typeof value !== 'number') return null;\n115\t return new Date(value * 1000).toISOString();\n116\t}\n117\t\n118\tfunction toIsoString(value) {\n119\t return value instanceof Date ? value.toISOString() : new Date(value).toISOString();\n120\t}\n121\t\n122\tfunction safeErrorMessage(rawText) {\n123\t return rawText ? rawText.slice(0, 500) : 'unknown error';\n124\t}\n125\t" }, "toolu_01R8N8eY5QAAQkGzCn89tmb3": { "tool_use_id": "toolu_01R8N8eY5QAAQkGzCn89tmb3", "tool_name": "Read packages/agent/src/auth/localhost-callback.js", "is_error": false, "content": { "Text": "1\t/**\n2\t * Localhost callback preparation for OAuth login flow.\n3\t *\n4\t * This module provides the scaffolding for:\n5\t * - Callback URL construction\n6\t * - PKCE code_verifier / code_challenge placeholders\n7\t * - OAuth state parameter generation\n8\t * - Callback server lifecycle (not yet wired to real token exchange)\n9\t */\n10\t\n11\timport { randomBytes } from 'node:crypto';\n12\timport { resolveCallbackPort } from './port-fallback.js';\n13\t\n14\t/**\n15\t * Generate a random URL-safe string for OAuth state parameter.\n16\t */\n17\texport function generateState(bytes = 32) {\n18\t return randomBytes(bytes).toString('base64url');\n19\t}\n20\t\n21\t/**\n22\t * PKCE placeholder — generates code_verifier and code_challenge.\n23\t *\n24\t * TODO(phase-next): implement proper S256 challenge derivation.\n25\t * Currently returns raw verifier as challenge (plain method placeholder).\n26\t */\n27\texport function generatePkce(bytes = 32) {\n28\t const codeVerifier = randomBytes(bytes).toString('base64url');\n29\t return {\n30\t codeVerifier,\n31\t codeChallenge: codeVerifier, // placeholder — replace with S256 hash\n32\t codeChallengeMethod: 'plain', // placeholder — should become 'S256'\n33\t };\n34\t}\n35\t\n36\t/**\n37\t * Build the localhost callback URL for a given port.\n38\t */\n39\texport function buildCallbackUrl(port) {\n40\t return `http://127.0.0.1:${port}/callback`;\n41\t}\n42\t\n43\t/**\n44\t * Prepare everything needed before starting the OAuth browser flow.\n45\t *\n46\t * @param {object} options\n47\t * @param {number|null} options.preferredPort - --port flag value (null = auto)\n48\t * @returns {Promise<{ ready: boolean, params: object|null, reason: string|null }>}\n49\t */\n50\texport async function prepareLocalhostCallback({ preferredPort = null } = {}) {\n51\t const { port, fallbackExhausted } = await resolveCallbackPort({ preferredPort });\n52\t\n53\t if (port == null) {\n54\t const reason = preferredPort != null\n55\t ? `지정된 포트 ${preferredPort}을(를) 사용할 수 없습니다.`\n56\t : '사용 가능한 콜백 포트를 찾지 못했습니다. manual paste 모드로 전환합니다.';\n57\t return { ready: false, params: null, reason, fallbackExhausted };\n58\t }\n59\t\n60\t const state = generateState();\n61\t const pkce = generatePkce();\n62\t const callbackUrl = buildCallbackUrl(port);\n63\t\n64\t return {\n65\t ready: true,\n66\t params: { port, callbackUrl, state, ...pkce },\n67\t reason: null,\n68\t fallbackExhausted: false,\n69\t };\n70\t}\n71\t" }, "output": "1\t/**\n2\t * Localhost callback preparation for OAuth login flow.\n3\t *\n4\t * This module provides the scaffolding for:\n5\t * - Callback URL construction\n6\t * - PKCE code_verifier / code_challenge placeholders\n7\t * - OAuth state parameter generation\n8\t * - Callback server lifecycle (not yet wired to real token exchange)\n9\t */\n10\t\n11\timport { randomBytes } from 'node:crypto';\n12\timport { resolveCallbackPort } from './port-fallback.js';\n13\t\n14\t/**\n15\t * Generate a random URL-safe string for OAuth state parameter.\n16\t */\n17\texport function generateState(bytes = 32) {\n18\t return randomBytes(bytes).toString('base64url');\n19\t}\n20\t\n21\t/**\n22\t * PKCE placeholder — generates code_verifier and code_challenge.\n23\t *\n24\t * TODO(phase-next): implement proper S256 challenge derivation.\n25\t * Currently returns raw verifier as challenge (plain method placeholder).\n26\t */\n27\texport function generatePkce(bytes = 32) {\n28\t const codeVerifier = randomBytes(bytes).toString('base64url');\n29\t return {\n30\t codeVerifier,\n31\t codeChallenge: codeVerifier, // placeholder — replace with S256 hash\n32\t codeChallengeMethod: 'plain', // placeholder — should become 'S256'\n33\t };\n34\t}\n35\t\n36\t/**\n37\t * Build the localhost callback URL for a given port.\n38\t */\n39\texport function buildCallbackUrl(port) {\n40\t return `http://127.0.0.1:${port}/callback`;\n41\t}\n42\t\n43\t/**\n44\t * Prepare everything needed before starting the OAuth browser flow.\n45\t *\n46\t * @param {object} options\n47\t * @param {number|null} options.preferredPort - --port flag value (null = auto)\n48\t * @returns {Promise<{ ready: boolean, params: object|null, reason: string|null }>}\n49\t */\n50\texport async function prepareLocalhostCallback({ preferredPort = null } = {}) {\n51\t const { port, fallbackExhausted } = await resolveCallbackPort({ preferredPort });\n52\t\n53\t if (port == null) {\n54\t const reason = preferredPort != null\n55\t ? `지정된 포트 ${preferredPort}을(를) 사용할 수 없습니다.`\n56\t : '사용 가능한 콜백 포트를 찾지 못했습니다. manual paste 모드로 전환합니다.';\n57\t return { ready: false, params: null, reason, fallbackExhausted };\n58\t }\n59\t\n60\t const state = generateState();\n61\t const pkce = generatePkce();\n62\t const callbackUrl = buildCallbackUrl(port);\n63\t\n64\t return {\n65\t ready: true,\n66\t params: { port, callbackUrl, state, ...pkce },\n67\t reason: null,\n68\t fallbackExhausted: false,\n69\t };\n70\t}\n71\t" }, "toolu_01GpiCWcY3rhcTSg1kFAyEge": { "tool_use_id": "toolu_01GpiCWcY3rhcTSg1kFAyEge", "tool_name": "Read packages/agent/src/cli/auth-login-command.js", "is_error": false, "content": { "Text": "1\timport { prepareLocalhostCallback } from '../auth/localhost-callback.js';\n2\timport { readManualPasteInput, extractCodeFromPaste } from '../auth/manual-paste.js';\n3\timport { createMockCodexAccountFromManualInput } from '../auth/mock-auth-exchange.js';\n4\timport { loadAuthStore, saveAuthStore, upsertProviderAccount } from '../auth/auth-store.js';\n5\t\n6\texport async function runAuthLoginCommand(provider, args = []) {\n7\t if (!provider) {\n8\t console.log('사용법: ai-usage-agent auth login [--manual] [--no-open] [--port ]');\n9\t return;\n10\t }\n11\t\n12\t if (provider !== 'codex') {\n13\t console.log(`아직 login은 codex만 골격이 준비되어 있어. 입력된 provider: ${provider}`);\n14\t return;\n15\t }\n16\t\n17\t const options = parseLoginOptions(args);\n18\t\n19\t if (options.device) {\n20\t console.log('device code flow는 후순위 항목이라 아직 구현되지 않았어.');\n21\t return;\n22\t }\n23\t\n24\t if (options.manual) {\n25\t await runManualPasteFlow();\n26\t return;\n27\t }\n28\t\n29\t const prepared = await prepareLocalhostCallback({ preferredPort: options.port });\n30\t\n31\t console.log('ai-usage-agent auth login codex');\n32\t console.log('--------------------------------');\n33\t\n34\t if (!prepared.ready) {\n35\t console.log(prepared.reason);\n36\t if (prepared.fallbackExhausted) {\n37\t console.log('다음 단계에서 manual paste fallback으로 이어지도록 연결할 예정이야.');\n38\t }\n39\t return;\n40\t }\n41\t\n42\t console.log(`콜백 URL 준비됨: ${prepared.params.callbackUrl}`);\n43\t console.log(`선택된 포트: ${prepared.params.port}`);\n44\t console.log('OAuth state/PKCE placeholder 생성 완료');\n45\t console.log('주의: 실제 브라우저 로그인과 token exchange는 아직 구현되지 않았어.');\n46\t if (options.noOpen) {\n47\t console.log('--no-open 옵션이 지정되어 브라우저 자동 실행은 건너뜀');\n48\t } else {\n49\t console.log('다음 단계에서 브라우저 자동 실행을 연결할 예정이야.');\n50\t }\n51\t}\n52\t\n53\tasync function runManualPasteFlow() {\n54\t console.log('ai-usage-agent auth login codex --manual');\n55\t console.log('-----------------------------------------');\n56\t console.log('주의: 이 흐름은 아직 실제 OAuth token exchange가 아니라 placeholder/mock 저장이야.');\n57\t\n58\t const pasteResult = await readManualPasteInput();\n59\t const extracted = extractCodeFromPaste(pasteResult);\n60\t\n61\t if (extracted.error || !extracted.code) {\n62\t console.log(`입력 처리 실패: ${extracted.error ?? 'unknown-error'}`);\n63\t return;\n64\t }\n65\t\n66\t const account = createMockCodexAccountFromManualInput({\n67\t code: extracted.code,\n68\t rawInput: pasteResult.value,\n69\t });\n70\t\n71\t const store = await loadAuthStore();\n72\t const nextStore = upsertProviderAccount(store, 'openai-codex', account);\n73\t await saveAuthStore(nextStore);\n74\t\n75\t console.log('placeholder/mock 계정을 auth store에 저장했어.');\n76\t console.log(`저장 accountKey: ${account.accountKey}`);\n77\t console.log('이 저장 결과는 실제 OAuth 인증이 아니라 이후 흐름 연결을 위한 임시 구현이야.');\n78\t}\n79\t\n80\tfunction parseLoginOptions(args) {\n81\t const options = {\n82\t noOpen: false,\n83\t manual: false,\n84\t device: false,\n85\t port: null,\n86\t };\n87\t\n88\t for (let index = 0; index < args.length; index += 1) {\n89\t const arg = args[index];\n90\t if (arg === '--no-open') options.noOpen = true;\n91\t if (arg === '--manual') options.manual = true;\n92\t if (arg === '--device') options.device = true;\n93\t if (arg === '--port') {\n94\t const value = args[index + 1];\n95\t if (value) {\n96\t options.port = Number(value);\n97\t index += 1;\n98\t }\n99\t }\n100\t }\n101\t\n102\t return options;\n103\t}\n104\t" }, "output": "1\timport { prepareLocalhostCallback } from '../auth/localhost-callback.js';\n2\timport { readManualPasteInput, extractCodeFromPaste } from '../auth/manual-paste.js';\n3\timport { createMockCodexAccountFromManualInput } from '../auth/mock-auth-exchange.js';\n4\timport { loadAuthStore, saveAuthStore, upsertProviderAccount } from '../auth/auth-store.js';\n5\t\n6\texport async function runAuthLoginCommand(provider, args = []) {\n7\t if (!provider) {\n8\t console.log('사용법: ai-usage-agent auth login [--manual] [--no-open] [--port ]');\n9\t return;\n10\t }\n11\t\n12\t if (provider !== 'codex') {\n13\t console.log(`아직 login은 codex만 골격이 준비되어 있어. 입력된 provider: ${provider}`);\n14\t return;\n15\t }\n16\t\n17\t const options = parseLoginOptions(args);\n18\t\n19\t if (options.device) {\n20\t console.log('device code flow는 후순위 항목이라 아직 구현되지 않았어.');\n21\t return;\n22\t }\n23\t\n24\t if (options.manual) {\n25\t await runManualPasteFlow();\n26\t return;\n27\t }\n28\t\n29\t const prepared = await prepareLocalhostCallback({ preferredPort: options.port });\n30\t\n31\t console.log('ai-usage-agent auth login codex');\n32\t console.log('--------------------------------');\n33\t\n34\t if (!prepared.ready) {\n35\t console.log(prepared.reason);\n36\t if (prepared.fallbackExhausted) {\n37\t console.log('다음 단계에서 manual paste fallback으로 이어지도록 연결할 예정이야.');\n38\t }\n39\t return;\n40\t }\n41\t\n42\t console.log(`콜백 URL 준비됨: ${prepared.params.callbackUrl}`);\n43\t console.log(`선택된 포트: ${prepared.params.port}`);\n44\t console.log('OAuth state/PKCE placeholder 생성 완료');\n45\t console.log('주의: 실제 브라우저 로그인과 token exchange는 아직 구현되지 않았어.');\n46\t if (options.noOpen) {\n47\t console.log('--no-open 옵션이 지정되어 브라우저 자동 실행은 건너뜀');\n48\t } else {\n49\t console.log('다음 단계에서 브라우저 자동 실행을 연결할 예정이야.');\n50\t }\n51\t}\n52\t\n53\tasync function runManualPasteFlow() {\n54\t console.log('ai-usage-agent auth login codex --manual');\n55\t console.log('-----------------------------------------');\n56\t console.log('주의: 이 흐름은 아직 실제 OAuth token exchange가 아니라 placeholder/mock 저장이야.');\n57\t\n58\t const pasteResult = await readManualPasteInput();\n59\t const extracted = extractCodeFromPaste(pasteResult);\n60\t\n61\t if (extracted.error || !extracted.code) {\n62\t console.log(`입력 처리 실패: ${extracted.error ?? 'unknown-error'}`);\n63\t return;\n64\t }\n65\t\n66\t const account = createMockCodexAccountFromManualInput({\n67\t code: extracted.code,\n68\t rawInput: pasteResult.value,\n69\t });\n70\t\n71\t const store = await loadAuthStore();\n72\t const nextStore = upsertProviderAccount(store, 'openai-codex', account);\n73\t await saveAuthStore(nextStore);\n74\t\n75\t console.log('placeholder/mock 계정을 auth store에 저장했어.');\n76\t console.log(`저장 accountKey: ${account.accountKey}`);\n77\t console.log('이 저장 결과는 실제 OAuth 인증이 아니라 이후 흐름 연결을 위한 임시 구현이야.');\n78\t}\n79\t\n80\tfunction parseLoginOptions(args) {\n81\t const options = {\n82\t noOpen: false,\n83\t manual: false,\n84\t device: false,\n85\t port: null,\n86\t };\n87\t\n88\t for (let index = 0; index < args.length; index += 1) {\n89\t const arg = args[index];\n90\t if (arg === '--no-open') options.noOpen = true;\n91\t if (arg === '--manual') options.manual = true;\n92\t if (arg === '--device') options.device = true;\n93\t if (arg === '--port') {\n94\t const value = args[index + 1];\n95\t if (value) {\n96\t options.port = Number(value);\n97\t index += 1;\n98\t }\n99\t }\n100\t }\n101\t\n102\t return options;\n103\t}\n104\t" }, "toolu_013V9ei9R7vfkaXi3B3Trty5": { "tool_use_id": "toolu_013V9ei9R7vfkaXi3B3Trty5", "tool_name": "Read packages/agent/src/auth/index.js", "is_error": false, "content": { "Text": "1\texport * from './auth-store-schema.js';\n2\texport * from './auth-store-path.js';\n3\texport * from './auth-store.js';\n4\texport * from './account-resolver.js';\n5\texport * from './localhost-callback.js';\n6\texport * from './port-fallback.js';\n7\texport * from './manual-paste.js';\n8\texport * from './mock-auth-exchange.js';\n9\t" }, "output": "1\texport * from './auth-store-schema.js';\n2\texport * from './auth-store-path.js';\n3\texport * from './auth-store.js';\n4\texport * from './account-resolver.js';\n5\texport * from './localhost-callback.js';\n6\texport * from './port-fallback.js';\n7\texport * from './manual-paste.js';\n8\texport * from './mock-auth-exchange.js';\n9\t" }, "toolu_01EDKTGGRNJF2chWdPed6mSa": { "tool_use_id": "toolu_01EDKTGGRNJF2chWdPed6mSa", "tool_name": "Read packages/agent/src/auth/mock-auth-exchange.js", "is_error": false, "content": { "Text": "1\timport { createAccount } from './auth-store-schema.js';\n2\t\n3\texport function createMockCodexAccountFromManualInput({ code, rawInput }) {\n4\t const normalized = sanitizeCode(code);\n5\t const suffix = normalized.slice(0, 8) || 'manual';\n6\t const email = `manual-${suffix}@example.local`;\n7\t\n8\t return createAccount({\n9\t accountKey: `openai-codex:${email}`,\n10\t email,\n11\t authType: 'oauth',\n12\t source: 'manual',\n13\t tokens: {\n14\t accessToken: `mock-access-token-${suffix}`,\n15\t refreshToken: `mock-refresh-token-${suffix}`,\n16\t },\n17\t raw: {\n18\t provider: 'openai-codex',\n19\t mock: true,\n20\t note: '실제 OAuth token exchange가 아닌 placeholder 저장 결과',\n21\t manualInputPreview: rawInput.slice(0, 120),\n22\t },\n23\t });\n24\t}\n25\t\n26\tfunction sanitizeCode(value) {\n27\t return String(value || '')\n28\t .replace(/[^a-zA-Z0-9_-]/g, '')\n29\t .toLowerCase();\n30\t}\n31\t" }, "output": "1\timport { createAccount } from './auth-store-schema.js';\n2\t\n3\texport function createMockCodexAccountFromManualInput({ code, rawInput }) {\n4\t const normalized = sanitizeCode(code);\n5\t const suffix = normalized.slice(0, 8) || 'manual';\n6\t const email = `manual-${suffix}@example.local`;\n7\t\n8\t return createAccount({\n9\t accountKey: `openai-codex:${email}`,\n10\t email,\n11\t authType: 'oauth',\n12\t source: 'manual',\n13\t tokens: {\n14\t accessToken: `mock-access-token-${suffix}`,\n15\t refreshToken: `mock-refresh-token-${suffix}`,\n16\t },\n17\t raw: {\n18\t provider: 'openai-codex',\n19\t mock: true,\n20\t note: '실제 OAuth token exchange가 아닌 placeholder 저장 결과',\n21\t manualInputPreview: rawInput.slice(0, 120),\n22\t },\n23\t });\n24\t}\n25\t\n26\tfunction sanitizeCode(value) {\n27\t return String(value || '')\n28\t .replace(/[^a-zA-Z0-9_-]/g, '')\n29\t .toLowerCase();\n30\t}\n31\t" }, "toolu_014mdUVfBBh162e6GKFC189n": { "tool_use_id": "toolu_014mdUVfBBh162e6GKFC189n", "tool_name": "Read README.md", "is_error": false, "content": { "Text": "1\t# ai-usage-dashboard\n2\t\n3\t여러 AI 서비스의 사용량, quota window, 사용 가능 상태를 한곳에서 통합해서 보여주는 대시보드 프로젝트.\n4\t\n5\t## 목표\n6\t\n7\t이 프로젝트는 여러 AI 서비스의 다음 정보를 통합해서 보여주는 것을 목표로 한다.\n8\t\n9\t- 남은 quota / usage window\n10\t- reset 시각\n11\t- 현재 사용 가능 여부\n12\t- 최근 rate limit / usage limit / 인증 오류\n13\t- turn 단위 usage와 quota usage의 분리 표시\n14\t\n15\t## 핵심 방향\n16\t\n17\t이 프로젝트는 모든 provider를 단일 방식으로 처리하지 않는다.\n18\t\n19\t- 공식 API 또는 OAuth usage endpoint가 안정적인 provider는 서버에서 직접 조회\n20\t- 로컬 CLI 로그인 상태, 세션 쿠키, auth store 재사용이 필요한 provider는 로컬 에이전트 사용\n21\t- 최종적으로는 로컬 에이전트 + 서버 poller + 공통 정규화 계층 구조를 사용\n22\t\n23\t## 확인된 endpoint 예시\n24\t\n25\t- Codex: `https://chatgpt.com/backend-api/wham/usage`\n26\t- Claude OAuth: `https://api.anthropic.com/api/oauth/usage`\n27\t- Claude web fallback:\n28\t - `https://claude.ai/api/organizations`\n29\t - `https://claude.ai/api/organizations/{orgId}/usage`\n30\t\n31\t## 아키텍처 개요\n32\t\n33\t```text\n34\t[로컬 에이전트]\n35\t ├─ Provider Adapters\n36\t ├─ Credential Broker\n37\t ├─ Event Normalizer\n38\t ├─ Local SQLite\n39\t └─ Uploader\n40\t ↓\n41\t[백엔드 API]\n42\t ├─ Ingestion API\n43\t ├─ Direct Usage Pollers\n44\t ├─ Event Store\n45\t ├─ State Aggregator\n46\t └─ Dashboard API\n47\t ↓\n48\t[웹 대시보드]\n49\t```\n50\t\n51\t## 프로젝트 구조\n52\t\n53\t```text\n54\tapps/\n55\t web/\n56\t api/\n57\tpackages/\n58\t agent/\n59\t shared/\n60\t provider-adapters/\n61\t schemas/\n62\tdocs/\n63\t architecture.md\n64\t auth-architecture.md\n65\t auth-store-schema.md\n66\t auth-cli.md\n67\t provider-notes.md\n68\tscripts/\n69\t poc/\n70\t```\n71\t\n72\t## 초기 범위(MVP)\n73\t\n74\t- npm 설치형 로컬 에이전트 CLI 골격\n75\t- Codex adapter\n76\t- Claude adapter\n77\t- usage snapshot 수집\n78\t- 이벤트 정규화\n79\t- overview / timeline UI\n80\t- provider별 상태 버킷화\n81\t\n82\t## 상태 버킷 예시\n83\t\n84\t- `ok`\n85\t- `rate_limit`\n86\t- `usage_window`\n87\t- `billing`\n88\t- `auth`\n89\t- `overloaded`\n90\t- `unknown`\n91\t\n92\t## 작업 / 협업 규칙\n93\t\n94\t자세한 규칙은 `CONTRIBUTING.md`를 따른다. 요약은 아래와 같다.\n95\t\n96\t- 브랜치 흐름: `작업 브랜치 -> dev -> main`\n97\t- 커밋 형식: `type(scope): 한글 설명`\n98\t- PR 제목 형식: `[feat] 한글 요약`\n99\t- PR 본문은 기본적으로 한글로 작성\n100\t- 큰 변경은 문서와 예시 payload를 함께 갱신\n101\t\n102\t### 커밋 예시\n103\t\n104\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n105\t- `fix(web): overview 카드 reset 시각 포맷 오류 수정`\n106\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n107\t\n108\t## 보안 원칙\n109\t\n110\t- refresh token / session cookie / sessionKey는 서버에 저장하지 않음\n111\t- raw prompt / raw response / 전체 transcript 업로드 금지\n112\t- 서버에는 정규화된 메타데이터만 업로드\n113\t\n114\t## 에이전트 실행 예시\n115\t\n116\t프로젝트 루트에서 바로 실행 가능:\n117\t\n118\t```bash\n119\tnpm run agent:status\n120\tnpm run agent:usage\n121\tnpm run agent:doctor\n122\tnpm run agent:config:init\n123\t```\n124\t\n125\t## 공통 스키마 초안\n126\t\n127\t`packages/schemas`에 초기 JSON Schema 초안을 추가했다.\n128\t\n129\t- `usage-snapshot.schema.json`\n130\t- `usage-event.schema.json`\n131\t- `examples/codex-usage-snapshot.example.json`\n132\t- `examples/codex-auth-error.event.example.json`\n133\t\n134\t핵심 필드:\n135\t- `source`\n136\t- `authType`\n137\t- `confidence`\n138\t- `usageWindows`\n139\t- `status.bucket` / `reason.bucket`\n140\t\n141\t## 인증 독립화 설계 초안\n142\t\n143\tOpenClaw auth profile 의존을 제거하기 위한 계획 문서를 추가했다.\n144\t\n145\t- `docs/auth-architecture.md`\n146\t- `docs/auth-store-schema.md`\n147\t- `docs/auth-cli.md`\n148\t\n149\t현재 방향:\n150\t- 기본 auth 흐름: localhost callback OAuth\n151\t- fallback 1: manual paste / callback URL handoff\n152\t- device code는 필요 시점에 후순위로 조사\n153\t- 장기적으로는 agent 자체 auth store 사용\n154\t- OpenClaw import는 migration 보조 기능으로만 유지\n155\t\n156\t## 현재 auth 독립화 진행 상태\n157\t\n158\t현재까지 구현됨:\n159\t- agent 전용 `auth.json` store 골격\n160\t- multi-account account resolver\n161\t- `auth login codex` CLI 골격\n162\t- localhost callback 준비 코드와 포트 fallback 뼈대\n163\t- `auth login codex --manual` 입력 처리와 placeholder/mock store 저장 흐름\n164\t\n165\t## 다음 작업\n166\t\n167\t1. localhost callback 서버 골격 구현\n168\t2. callback code/state 수신 처리\n169\t3. placeholder token exchange를 callback 경로와 연결\n170\t4. 이후 실제 provider token exchange로 교체\n171\t5. Claude 인증 경로별 테스트 추가\n172\t6. 대시보드 MVP 화면 구성\n173\t\n174\t## 라이선스\n175\t\n176\t추후 결정\n177\t" }, "output": "1\t# ai-usage-dashboard\n2\t\n3\t여러 AI 서비스의 사용량, quota window, 사용 가능 상태를 한곳에서 통합해서 보여주는 대시보드 프로젝트.\n4\t\n5\t## 목표\n6\t\n7\t이 프로젝트는 여러 AI 서비스의 다음 정보를 통합해서 보여주는 것을 목표로 한다.\n8\t\n9\t- 남은 quota / usage window\n10\t- reset 시각\n11\t- 현재 사용 가능 여부\n12\t- 최근 rate limit / usage limit / 인증 오류\n13\t- turn 단위 usage와 quota usage의 분리 표시\n14\t\n15\t## 핵심 방향\n16\t\n17\t이 프로젝트는 모든 provider를 단일 방식으로 처리하지 않는다.\n18\t\n19\t- 공식 API 또는 OAuth usage endpoint가 안정적인 provider는 서버에서 직접 조회\n20\t- 로컬 CLI 로그인 상태, 세션 쿠키, auth store 재사용이 필요한 provider는 로컬 에이전트 사용\n21\t- 최종적으로는 로컬 에이전트 + 서버 poller + 공통 정규화 계층 구조를 사용\n22\t\n23\t## 확인된 endpoint 예시\n24\t\n25\t- Codex: `https://chatgpt.com/backend-api/wham/usage`\n26\t- Claude OAuth: `https://api.anthropic.com/api/oauth/usage`\n27\t- Claude web fallback:\n28\t - `https://claude.ai/api/organizations`\n29\t - `https://claude.ai/api/organizations/{orgId}/usage`\n30\t\n31\t## 아키텍처 개요\n32\t\n33\t```text\n34\t[로컬 에이전트]\n35\t ├─ Provider Adapters\n36\t ├─ Credential Broker\n37\t ├─ Event Normalizer\n38\t ├─ Local SQLite\n39\t └─ Uploader\n40\t ↓\n41\t[백엔드 API]\n42\t ├─ Ingestion API\n43\t ├─ Direct Usage Pollers\n44\t ├─ Event Store\n45\t ├─ State Aggregator\n46\t └─ Dashboard API\n47\t ↓\n48\t[웹 대시보드]\n49\t```\n50\t\n51\t## 프로젝트 구조\n52\t\n53\t```text\n54\tapps/\n55\t web/\n56\t api/\n57\tpackages/\n58\t agent/\n59\t shared/\n60\t provider-adapters/\n61\t schemas/\n62\tdocs/\n63\t architecture.md\n64\t auth-architecture.md\n65\t auth-store-schema.md\n66\t auth-cli.md\n67\t provider-notes.md\n68\tscripts/\n69\t poc/\n70\t```\n71\t\n72\t## 초기 범위(MVP)\n73\t\n74\t- npm 설치형 로컬 에이전트 CLI 골격\n75\t- Codex adapter\n76\t- Claude adapter\n77\t- usage snapshot 수집\n78\t- 이벤트 정규화\n79\t- overview / timeline UI\n80\t- provider별 상태 버킷화\n81\t\n82\t## 상태 버킷 예시\n83\t\n84\t- `ok`\n85\t- `rate_limit`\n86\t- `usage_window`\n87\t- `billing`\n88\t- `auth`\n89\t- `overloaded`\n90\t- `unknown`\n91\t\n92\t## 작업 / 협업 규칙\n93\t\n94\t자세한 규칙은 `CONTRIBUTING.md`를 따른다. 요약은 아래와 같다.\n95\t\n96\t- 브랜치 흐름: `작업 브랜치 -> dev -> main`\n97\t- 커밋 형식: `type(scope): 한글 설명`\n98\t- PR 제목 형식: `[feat] 한글 요약`\n99\t- PR 본문은 기본적으로 한글로 작성\n100\t- 큰 변경은 문서와 예시 payload를 함께 갱신\n101\t\n102\t### 커밋 예시\n103\t\n104\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n105\t- `fix(web): overview 카드 reset 시각 포맷 오류 수정`\n106\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n107\t\n108\t## 보안 원칙\n109\t\n110\t- refresh token / session cookie / sessionKey는 서버에 저장하지 않음\n111\t- raw prompt / raw response / 전체 transcript 업로드 금지\n112\t- 서버에는 정규화된 메타데이터만 업로드\n113\t\n114\t## 에이전트 실행 예시\n115\t\n116\t프로젝트 루트에서 바로 실행 가능:\n117\t\n118\t```bash\n119\tnpm run agent:status\n120\tnpm run agent:usage\n121\tnpm run agent:doctor\n122\tnpm run agent:config:init\n123\t```\n124\t\n125\t## 공통 스키마 초안\n126\t\n127\t`packages/schemas`에 초기 JSON Schema 초안을 추가했다.\n128\t\n129\t- `usage-snapshot.schema.json`\n130\t- `usage-event.schema.json`\n131\t- `examples/codex-usage-snapshot.example.json`\n132\t- `examples/codex-auth-error.event.example.json`\n133\t\n134\t핵심 필드:\n135\t- `source`\n136\t- `authType`\n137\t- `confidence`\n138\t- `usageWindows`\n139\t- `status.bucket` / `reason.bucket`\n140\t\n141\t## 인증 독립화 설계 초안\n142\t\n143\tOpenClaw auth profile 의존을 제거하기 위한 계획 문서를 추가했다.\n144\t\n145\t- `docs/auth-architecture.md`\n146\t- `docs/auth-store-schema.md`\n147\t- `docs/auth-cli.md`\n148\t\n149\t현재 방향:\n150\t- 기본 auth 흐름: localhost callback OAuth\n151\t- fallback 1: manual paste / callback URL handoff\n152\t- device code는 필요 시점에 후순위로 조사\n153\t- 장기적으로는 agent 자체 auth store 사용\n154\t- OpenClaw import는 migration 보조 기능으로만 유지\n155\t\n156\t## 현재 auth 독립화 진행 상태\n157\t\n158\t현재까지 구현됨:\n159\t- agent 전용 `auth.json` store 골격\n160\t- multi-account account resolver\n161\t- `auth login codex` CLI 골격\n162\t- localhost callback 준비 코드와 포트 fallback 뼈대\n163\t- `auth login codex --manual` 입력 처리와 placeholder/mock store 저장 흐름\n164\t\n165\t## 다음 작업\n166\t\n167\t1. localhost callback 서버 골격 구현\n168\t2. callback code/state 수신 처리\n169\t3. placeholder token exchange를 callback 경로와 연결\n170\t4. 이후 실제 provider token exchange로 교체\n171\t5. Claude 인증 경로별 테스트 추가\n172\t6. 대시보드 MVP 화면 구성\n173\t\n174\t## 라이선스\n175\t\n176\t추후 결정\n177\t" }, "toolu_016x9K5efnadostTZ8fg56HJ": { "tool_use_id": "toolu_016x9K5efnadostTZ8fg56HJ", "tool_name": "Write", "is_error": false, "content": { "Text": "" } } } } } ], "updated_at": "2026-04-13T05:41:43.236Z", "cumulative_token_usage": {}, "request_token_usage": {}, "acpx": { "available_commands": [ "update-config", "debug", "simplify", "batch", "loop", "schedule", "claude-api", "compact", "context", "heapdump", "init", "review", "security-review", "extra-usage", "insights" ] } }