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CLI에 `auth login codex` 진입점 골격 추가\n2. auth 관련 command 파일 추가\n3. localhost callback용 준비 코드(예: 포트 선택, callback URL 생성, state/pkce placeholder) 추가\n4. 포트 fallback helper 추가\n5. 실제 브라우저 로그인/토큰 교환은 placeholder 또는 not implemented 안내로 남길 것\n6. README 최소 반영 가능하면 반영\n7. 커밋은 하지 말고 결과 요약만 반환할 것\n\n주의:\n- 진짜 OAuth 완료 구현 금지\n- manual paste 실제 구현도 이번 단계에서는 골격만 가능, 본격 구현 금지\n- 기존 CLI 동작 깨지지 않게 할 것\n- 결과에는 수정 파일 목록, 무엇까지 구현됐는지/무엇은 placeholder인지, 다음 단계 연결 포인트를 포함할 것\n\n출력은 한국어로 간결하게 정리해줘." } ] } }, { "Agent": { "content": [ { "Thinking": { "text": "Let me understand the current codebase structure first, then implement the auth login CLI scaffold.", "signature": null } }, { "ToolUse": { "id": "toolu_01QWa4cTTFns4uu3JUesc5tt", "name": "Explore auth and CLI structure", "raw_input": "{\"subagent_type\":\"Explore\",\"description\":\"Explore auth and CLI structure\",\"prompt\":\"Explore the codebase at /home/lagoon3/.openclaw/workspace/ai-usage-dashboard to understand:\\n1. The overall project structure (top-level dirs, package.json, monorepo setup)\\n2. The existing CLI entry point and command structure (how commands are registered)\\n3. The existing auth-related code (auth store, auth design docs)\\n4. Any existing command files pattern\\n\\nBe thorough - read key files like package.json, CLI entry points, existing command files, auth store code, and the auth design doc. Report file paths and key patterns.\"}", "input": { "subagent_type": "Explore", "description": "Explore auth and CLI structure", "prompt": "Explore the codebase at /home/lagoon3/.openclaw/workspace/ai-usage-dashboard to understand:\n1. The overall project structure (top-level dirs, package.json, monorepo setup)\n2. The existing CLI entry point and command structure (how commands are registered)\n3. The existing auth-related code (auth store, auth design docs)\n4. Any existing command files pattern\n\nBe thorough - read key files like package.json, CLI entry points, existing command files, auth store code, and the auth design doc. Report file paths and key patterns." }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01Pj2hpRQ698Fpp9J2beFcgi", "name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -type f -name \"package.json\" | head -20", "raw_input": "{\"command\":\"find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -type f -name \\\"package.json\\\" | head -20\"}", "input": { "command": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -type f -name \"package.json\" | head -20" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01UDcaUGwCQHSwcSAVq4TCeX", "name": "Read", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01DmzjPrc9HQfkdto2yXwyr9", "name": "Read package.json", "raw_input": 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"is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_0197aPxdnvxV1D4VdfGFf87g", "name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/", "raw_input": "{\"command\":\"ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01VvaFxVHzFJek5phMKm7rum", "name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/src/", "raw_input": "{\"command\":\"ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/src/\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/src/" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01CwrEDdCCaZ7CSAGBxLWKLK", "name": "Read packages/schemas/src/index.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/src/index.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/src/index.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01Wn3Xg2NhqdUCqwBrHxtTDU", "name": "Read packages/provider-adapters/src/index.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/index.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/index.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_012THEL5F6Lo3wFHN8QZcbUf", "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_014enr8ASaXStPmViX3vnqwH", "name": "Read packages/provider-adapters/src/codex/read-codex-auth-profiles.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/read-codex-auth-profiles.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/read-codex-auth-profiles.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01MLziP8c47Qq22k3PnY42Bp", "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_01A6h5kQko3VU6Gfc8SDNZ3y", "name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/types/", "raw_input": "{\"command\":\"ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/types/\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/types/" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_016L4yiMDCtufiv8LtAME2B1", "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_01NLCuF4JWJWYe9p1kUxLkSH", "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 } }, { "ToolUse": { "id": "toolu_01MjamBSuuU8VhQoXjFPahzn", "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 } }, { "ToolUse": { "id": "toolu_018n9efsg32XJSEsFfSuVsos", "name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps/", "raw_input": "{\"command\":\"ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps/\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps/" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01WkrYLTNQvui6Jj4RY5oRKN", "name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs -type f -name \"*.md\" | sort", "raw_input": "{\"command\":\"find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs -type f -name \\\"*.md\\\" | sort\"}", "input": { "command": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs -type f -name \"*.md\" | sort" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01Xahag8BLum38a7wtxXeo4s", "name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth -type f | sort", "raw_input": "{\"command\":\"find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth -type f | sort\"}", "input": { "command": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth -type f | sort" }, "is_input_complete": true, "thought_signature": null } }, { "Thinking": { "text": "Now I have a clear picture. Let me read the key files I need to modify/reference, then implement the changes.", "signature": null } }, { "Text": "핵심 파일들을 읽고 구현을 시작하겠습니다." }, { "ToolUse": { "id": "toolu_018r2VaydTua5pWSTbgUyHJm", "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_01LLwR5qaH7qG1WhWhKjQ6Xk", "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_01Jyh9sqvGgQ6hArNZXkSBWN", "name": "Read docs/auth-cli.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-cli.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-cli.md" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01YGNeXBWqFt7v92rCaseyQz", "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 } }, { "Thinking": { "text": "Now I have everything I need. Let me implement the changes:\n\n1. `auth-login-command.js` - CLI command for `auth login codex`\n2. `auth-command.js` - Router for auth subcommands\n3. `localhost-callback.js` - Localhost callback preparation (port selection, callback URL, state/PKCE placeholders)\n4. `port-fallback.js` - Port fallback helper\n5. Update `run-cli.js` to route `auth` commands\n6. Update auth `index.js` if needed\n\nLet me also check the auth-store-schema for reference.", "signature": null } }, { "ToolUse": { "id": "toolu_01DeGG6Cc2o9d1w9Fj3FPwPc", "name": "Read packages/agent/src/auth/auth-store-schema.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/auth-store-schema.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/auth-store-schema.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01HWRUMd9CkVWzckRBUGUy6P", "name": "Read docs/auth-architecture.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md" }, "is_input_complete": true, "thought_signature": null } }, { "Text": "이제 구현합니다. 4개 파일 생성 + 2개 파일 수정이 필요합니다." }, { "ToolUse": { "id": "toolu_019Uty3Tu3xNyNBUHwppzes9", "name": "Write packages/agent/src/auth/port-fallback.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/port-fallback.js\",\"content\":\"/**\\n * Port fallback helper for localhost callback server.\\n *\\n * Policy (from docs/auth-cli.md):\\n * - Default port: 19876\\n * - On conflict: try +1, +2, +3 (max 3 retries)\\n * - If all fail: signal caller to switch to manual paste\\n * - If user specified --port: try only that port, fail on conflict\\n */\\n\\nimport { createServer } from 'node:net';\\n\\nexport const DEFAULT_CALLBACK_PORT = 19876;\\nexport const MAX_PORT_RETRIES = 3;\\n\\n/**\\n * Check whether a given port is available on 127.0.0.1.\\n * Resolves to true if available, false otherwise.\\n */\\nexport function isPortAvailable(port) {\\n return new Promise((resolve) => {\\n const server = createServer();\\n server.once('error', () => resolve(false));\\n server.once('listening', () => {\\n server.close(() => resolve(true));\\n });\\n server.listen(port, '127.0.0.1');\\n });\\n}\\n\\n/**\\n * Find an available callback port according to the fallback policy.\\n *\\n * @param {object} options\\n * @param {number|null} options.preferredPort - User-specified port via --port (null = use default + fallback)\\n * @returns {Promise<{ port: number|null, fallbackExhausted: boolean }>}\\n * port – the available port, or null if none found\\n * fallbackExhausted – true when all automatic retries failed (caller should switch to manual paste)\\n */\\nexport async function resolveCallbackPort({ preferredPort = null } = {}) {\\n // User explicitly specified a port — try only that one\\n if (preferredPort != null) {\\n const available = await isPortAvailable(preferredPort);\\n return available\\n ? { port: preferredPort, fallbackExhausted: false }\\n : { port: null, fallbackExhausted: false };\\n }\\n\\n // Default port + up to MAX_PORT_RETRIES fallback attempts\\n for (let i = 0; i <= MAX_PORT_RETRIES; i++) {\\n const candidate = DEFAULT_CALLBACK_PORT + i;\\n const available = await isPortAvailable(candidate);\\n if (available) {\\n return { port: candidate, fallbackExhausted: false };\\n }\\n }\\n\\n // All candidates occupied\\n return { port: null, fallbackExhausted: true };\\n}\\n\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/port-fallback.js", "content": "/**\n * Port fallback helper for localhost callback server.\n *\n * Policy (from docs/auth-cli.md):\n * - Default port: 19876\n * - On conflict: try +1, +2, +3 (max 3 retries)\n * - If all fail: signal caller to switch to manual paste\n * - If user specified --port: try only that port, fail on conflict\n */\n\nimport { createServer } from 'node:net';\n\nexport const DEFAULT_CALLBACK_PORT = 19876;\nexport const MAX_PORT_RETRIES = 3;\n\n/**\n * Check whether a given port is available on 127.0.0.1.\n * Resolves to true if available, false otherwise.\n */\nexport function isPortAvailable(port) {\n return new Promise((resolve) => {\n const server = createServer();\n server.once('error', () => resolve(false));\n server.once('listening', () => {\n server.close(() => resolve(true));\n });\n server.listen(port, '127.0.0.1');\n });\n}\n\n/**\n * Find an available callback port according to the fallback policy.\n *\n * @param {object} options\n * @param {number|null} options.preferredPort - User-specified port via --port (null = use default + fallback)\n * @returns {Promise<{ port: number|null, fallbackExhausted: boolean }>}\n * port – the available port, or null if none found\n * fallbackExhausted – true when all automatic retries failed (caller should switch to manual paste)\n */\nexport async function resolveCallbackPort({ preferredPort = null } = {}) {\n // User explicitly specified a port — try only that one\n if (preferredPort != null) {\n const available = await isPortAvailable(preferredPort);\n return available\n ? { port: preferredPort, fallbackExhausted: false }\n : { port: null, fallbackExhausted: false };\n }\n\n // Default port + up to MAX_PORT_RETRIES fallback attempts\n for (let i = 0; i <= MAX_PORT_RETRIES; i++) {\n const candidate = DEFAULT_CALLBACK_PORT + i;\n const available = await isPortAvailable(candidate);\n if (available) {\n return { port: candidate, fallbackExhausted: false };\n }\n }\n\n // All candidates occupied\n return { port: null, fallbackExhausted: true };\n}\n" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01Bd7QkctWdxHfdEvGzzGfKd", "name": "Write 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\",\"content\":\"/**\\n * Localhost callback preparation for OAuth login flow.\\n *\\n * This module provides the scaffolding for:\\n * - Callback URL construction\\n * - PKCE code_verifier / code_challenge placeholders\\n * - OAuth state parameter generation\\n * - Callback server lifecycle (not yet wired to real token exchange)\\n */\\n\\nimport { randomBytes } from 'node:crypto';\\nimport { resolveCallbackPort } from './port-fallback.js';\\n\\n/**\\n * Generate a random URL-safe string for OAuth state parameter.\\n */\\nexport function generateState(bytes = 32) {\\n return randomBytes(bytes).toString('base64url');\\n}\\n\\n/**\\n * PKCE placeholder — generates code_verifier and code_challenge.\\n *\\n * TODO(phase-next): implement proper S256 challenge derivation.\\n * Currently returns raw verifier as challenge (plain method placeholder).\\n */\\nexport function generatePkce(bytes = 32) {\\n const codeVerifier = randomBytes(bytes).toString('base64url');\\n return {\\n codeVerifier,\\n codeChallenge: codeVerifier, // placeholder — replace with S256 hash\\n codeChallengeMethod: 'plain', // placeholder — should become 'S256'\\n };\\n}\\n\\n/**\\n * Build the localhost callback URL for a given port.\\n */\\nexport function buildCallbackUrl(port) {\\n return `http://127.0.0.1:${port}/callback`;\\n}\\n\\n/**\\n * Prepare everything needed before starting the OAuth browser flow.\\n *\\n * @param {object} options\\n * @param {number|null} options.preferredPort - --port flag value (null = auto)\\n * @returns {Promise<{ ready: boolean, params: object|null, reason: string|null }>}\\n */\\nexport async function prepareLocalhostCallback({ preferredPort = null } = {}) {\\n const { port, fallbackExhausted } = await resolveCallbackPort({ preferredPort });\\n\\n if (port == null) {\\n const reason = preferredPort != null\\n ? `지정된 포트 ${preferredPort}을(를) 사용할 수 없습니다.`\\n : '사용 가능한 콜백 포트를 찾지 못했습니다. manual paste 모드로 전환합니다.';\\n return { ready: false, params: null, reason, fallbackExhausted };\\n }\\n\\n const state = generateState();\\n const pkce = generatePkce();\\n const callbackUrl = buildCallbackUrl(port);\\n\\n return {\\n ready: true,\\n params: { port, callbackUrl, state, ...pkce },\\n reason: null,\\n fallbackExhausted: false,\\n };\\n}\\n\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/localhost-callback.js", "content": "/**\n * Localhost callback preparation for OAuth login flow.\n *\n * This module provides the scaffolding for:\n * - Callback URL construction\n * - PKCE code_verifier / code_challenge placeholders\n * - OAuth state parameter generation\n * - Callback server lifecycle (not yet wired to real token exchange)\n */\n\nimport { randomBytes } from 'node:crypto';\nimport { resolveCallbackPort } from './port-fallback.js';\n\n/**\n * Generate a random URL-safe string for OAuth state parameter.\n */\nexport function generateState(bytes = 32) {\n return randomBytes(bytes).toString('base64url');\n}\n\n/**\n * PKCE placeholder — generates code_verifier and code_challenge.\n *\n * TODO(phase-next): implement proper S256 challenge derivation.\n * Currently returns raw verifier as challenge (plain method placeholder).\n */\nexport function generatePkce(bytes = 32) {\n const codeVerifier = randomBytes(bytes).toString('base64url');\n return {\n codeVerifier,\n codeChallenge: codeVerifier, // placeholder — replace with S256 hash\n codeChallengeMethod: 'plain', // placeholder — should become 'S256'\n };\n}\n\n/**\n * Build the localhost callback URL for a given port.\n */\nexport function buildCallbackUrl(port) {\n return `http://127.0.0.1:${port}/callback`;\n}\n\n/**\n * Prepare everything needed before starting the OAuth browser flow.\n *\n * @param {object} options\n * @param {number|null} options.preferredPort - --port flag value (null = auto)\n * @returns {Promise<{ ready: boolean, params: object|null, reason: string|null }>}\n */\nexport async function prepareLocalhostCallback({ preferredPort = null } = {}) {\n const { port, fallbackExhausted } = await resolveCallbackPort({ preferredPort });\n\n if (port == null) {\n const reason = preferredPort != null\n ? `지정된 포트 ${preferredPort}을(를) 사용할 수 없습니다.`\n : '사용 가능한 콜백 포트를 찾지 못했습니다. manual paste 모드로 전환합니다.';\n return { ready: false, params: null, reason, fallbackExhausted };\n }\n\n const state = generateState();\n const pkce = generatePkce();\n const callbackUrl = buildCallbackUrl(port);\n\n return {\n ready: true,\n params: { port, callbackUrl, state, ...pkce },\n reason: null,\n fallbackExhausted: false,\n };\n}\n" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_017A2n4FGyBfxyfVivBKEpou", "name": "Write", "raw_input": "{}", "input": {}, "is_input_complete": false, "thought_signature": null } } ], "tool_results": { "toolu_01QWa4cTTFns4uu3JUesc5tt": { "tool_use_id": "toolu_01QWa4cTTFns4uu3JUesc5tt", "tool_name": "Explore auth and CLI structure", "is_error": false, "content": { "Text": "[{\"type\":\"text\",\"text\":\"Perfect! Now I have a complete understanding. Let me compile the thorough exploration report:\\n\\n## Summary\\n\\nI've thoroughly explored the **ai-usage-dashboard** codebase. Here's a comprehensive report:\\n\\n### 1. **Project Structure Overview**\\n\\n**Location**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard`\\n\\n**Type**: npm monorepo using workspaces\\n\\n**Top-level directories**:\\n- `apps/` - placeholder directories for `web/` and `api/` (future web dashboard and backend)\\n- `packages/` - core npm packages\\n- `docs/` - architecture and design documentation\\n- `scripts/` - utility scripts\\n\\n**Root package.json** (`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json`):\\n- Monorepo with workspaces: `apps/*` and `packages/*`\\n- Current npm scripts execute agent commands via `node ./packages/agent/bin/ai-usage-agent.js`\\n\\n### 2. **CLI Entry Point & Command Structure**\\n\\n**Main entry**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js`\\n- Simple shebang script that imports `runCli` from `../src/cli/run-cli.js`\\n- Catches errors and exits with code 1\\n\\n**CLI Router**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/run-cli.js`\\n- Routes commands via simple if-checks (not a full command parser library)\\n- Default command: `status`\\n- **Current commands implemented**:\\n - `status` / `usage` - display agent status and Codex usage\\n - `doctor` - diagnostic command stub\\n - `config init` - generate default config file\\n- Prints help text if unrecognized command\\n\\n**Existing command files**:\\n- `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/status-command.js` - fetches Codex usage and formats output\\n- `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/doctor-command.js` - basic stub\\n- `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/config-init-command.js` - creates default config at `~/.config/ai-usage-agent/config.json`\\n\\n**Pattern**: Each command is a module exporting a `run*Command()` function that performs async work and logs to console.\\n\\n### 3. **Auth-Related Code**\\n\\n**Auth directory**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/`\\n\\n**Files**:\\n\\n1. **`auth-store.js`** - File I/O for credential storage\\n - `loadAuthStore()` - reads `~/.config/ai-usage-agent/auth.json` with fallback to empty store\\n - `saveAuthStore(store)` - writes with file mode `0600` (secure)\\n - Version checking against `AUTH_STORE_VERSION`\\n\\n2. **`auth-store-path.js`** - Path resolution\\n - `resolveAuthStoreDir()` - returns `~/.config/ai-usage-agent`\\n - `resolveAuthStorePath()` - returns path to `auth.json`\\n\\n3. **`auth-store-schema.js`** - Schema definition and factory functions\\n - `AUTH_STORE_VERSION = 1`\\n - `AUTH_TYPES` enum: `['oauth', 'session_cookie', 'session_key', 'api_key', 'unknown']`\\n - `CREDENTIAL_SOURCES` enum: `['agent-store', 'openclaw-import', 'env', 'manual']`\\n - `ACCOUNT_STATUSES`: `['active', 'disabled']`\\n - `createEmptyAuthStore()` - factory for new store\\n - `createAccount({...})` - factory for account objects with fields: `accountKey`, `email`, `displayName`, `accountId`, `authType`, `source`, `status`, `createdAt`, `updatedAt`, `lastUsedAt`, `expiresAt`, `scopes`, `tokens`, `raw`\\n\\n4. **`account-resolver.js`** - Multi-account selection logic\\n - `resolveDefaultAccount(accounts)` - picks based on rules:\\n - Single account → auto-select\\n - Multiple active accounts → most recent `lastUsedAt`\\n - Returns `{ account: obj | null, reason: string }`\\n - `resolveAccountByIdentifier(accounts, identifier)` - match by email or accountKey\\n - `resolveAccount(accounts, options)` - high-level resolver with optional override\\n\\n5. **`index.js`** - Barrel export of all auth modules\\n\\n### 4. **Auth Design Documentation**\\n\\n**`/home/lagoon3/.openclaw/workspa..." }, "output": [ { "type": "text", "text": "Perfect! Now I have a complete understanding. Let me compile the thorough exploration report:\n\n## Summary\n\nI've thoroughly explored the **ai-usage-dashboard** codebase. Here's a comprehensive report:\n\n### 1. **Project Structure Overview**\n\n**Location**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard`\n\n**Type**: npm monorepo using workspaces\n\n**Top-level directories**:\n- `apps/` - placeholder directories for `web/` and `api/` (future web dashboard and backend)\n- `packages/` - core npm packages\n- `docs/` - architecture and design documentation\n- `scripts/` - utility scripts\n\n**Root package.json** (`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json`):\n- Monorepo with workspaces: `apps/*` and `packages/*`\n- Current npm scripts execute agent commands via `node ./packages/agent/bin/ai-usage-agent.js`\n\n### 2. **CLI Entry Point & Command Structure**\n\n**Main entry**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js`\n- Simple shebang script that imports `runCli` from `../src/cli/run-cli.js`\n- Catches errors and exits with code 1\n\n**CLI Router**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/run-cli.js`\n- Routes commands via simple if-checks (not a full command parser library)\n- Default command: `status`\n- **Current commands implemented**:\n - `status` / `usage` - display agent status and Codex usage\n - `doctor` - diagnostic command stub\n - `config init` - generate default config file\n- Prints help text if unrecognized command\n\n**Existing command files**:\n- `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/status-command.js` - fetches Codex usage and formats output\n- `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/doctor-command.js` - basic stub\n- `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/config-init-command.js` - creates default config at `~/.config/ai-usage-agent/config.json`\n\n**Pattern**: Each command is a module exporting a `run*Command()` function that performs async work and logs to console.\n\n### 3. **Auth-Related Code**\n\n**Auth directory**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/`\n\n**Files**:\n\n1. **`auth-store.js`** - File I/O for credential storage\n - `loadAuthStore()` - reads `~/.config/ai-usage-agent/auth.json` with fallback to empty store\n - `saveAuthStore(store)` - writes with file mode `0600` (secure)\n - Version checking against `AUTH_STORE_VERSION`\n\n2. **`auth-store-path.js`** - Path resolution\n - `resolveAuthStoreDir()` - returns `~/.config/ai-usage-agent`\n - `resolveAuthStorePath()` - returns path to `auth.json`\n\n3. **`auth-store-schema.js`** - Schema definition and factory functions\n - `AUTH_STORE_VERSION = 1`\n - `AUTH_TYPES` enum: `['oauth', 'session_cookie', 'session_key', 'api_key', 'unknown']`\n - `CREDENTIAL_SOURCES` enum: `['agent-store', 'openclaw-import', 'env', 'manual']`\n - `ACCOUNT_STATUSES`: `['active', 'disabled']`\n - `createEmptyAuthStore()` - factory for new store\n - `createAccount({...})` - factory for account objects with fields: `accountKey`, `email`, `displayName`, `accountId`, `authType`, `source`, `status`, `createdAt`, `updatedAt`, `lastUsedAt`, `expiresAt`, `scopes`, `tokens`, `raw`\n\n4. **`account-resolver.js`** - Multi-account selection logic\n - `resolveDefaultAccount(accounts)` - picks based on rules:\n - Single account → auto-select\n - Multiple active accounts → most recent `lastUsedAt`\n - Returns `{ account: obj | null, reason: string }`\n - `resolveAccountByIdentifier(accounts, identifier)` - match by email or accountKey\n - `resolveAccount(accounts, options)` - high-level resolver with optional override\n\n5. **`index.js`** - Barrel export of all auth modules\n\n### 4. **Auth Design Documentation**\n\n**`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md`**\n- **Goal**: Decouple `ai-usage-agent` from OpenClaw auth store\n- **Recommended auth flows**:\n 1. Primary: localhost callback OAuth (browser login + PKCE + callback)\n 2. First fallback: manual paste (callback URL or auth code)\n 3. Later: device code flow (post-MVP)\n- **Credential sources abstraction**: `agent-store`, `openclaw-import`, `env`, `manual`\n- **Security principles**:\n - Callback server binds only to `127.0.0.1`\n - State validation + PKCE required\n - No token logging\n - Refresh tokens stored minimally\n- **Provider adapter role**: Adapters define auth URL rules, token exchange endpoints, fallback types\n- **Expected CLI commands**: `auth login`, `auth list`, `auth logout`, `auth doctor`, `auth import openclaw`\n\n**`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-store-schema.md`**\n- **Storage location**: `~/.config/ai-usage-agent/auth.json` (initial MVP, future keychain)\n- **File permissions**: `0600` (read/write by owner only)\n- **Top-level structure**:\n ```json\n {\n \"version\": 1,\n \"updatedAt\": \"ISO datetime\",\n \"providers\": {\n \"provider-id\": {\n \"accounts\": [{ account objects }]\n }\n }\n }\n ```\n- **Account object fields**: accountKey, email, displayName, accountId, authType, source, status, timestamps, scopes, tokens, raw\n- **Multi-account selection**: `lastUsedAt` + `--account` override\n\n**`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-cli.md`**\n- **Command structure**: `ai-usage-agent auth [provider] [options]`\n- **Planned subcommands**:\n - `login codex` with `--no-open`, `--manual`, `--device`, `--port` flags\n - `list [provider]`\n - `logout [provider] [--account]`\n - `doctor [provider]`\n - `import openclaw`\n- **Port fallback policy**: default port → +1, +2, +3 retry, then manual paste\n- **Multi-account display**: default selection marked with `*`\n\n### 5. **Config Structure**\n\n**Config location**: `~/.config/ai-usage-agent/config.json`\n**Path helpers**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/config-path.js`\n\n**Default config** (`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/default-config.js`):\n```javascript\n{\n version: 1,\n output: { format: 'table', timezone: 'Asia/Seoul' },\n sync: { enabled: false, endpoint: '', apiKey: '' },\n providers: { codex: { enabled: true }, claude: { enabled: true } }\n}\n```\n\n### 6. **Provider Adapter Pattern**\n\n**Location**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/`\n\n**Files**:\n- `read-codex-auth-profiles.js` - reads OpenClaw auth profiles from `~/.openclaw/agents/main/agent/auth-profiles.json`\n- `fetch-codex-usage.js` - calls Codex usage endpoint (`https://chatgpt.com/backend-api/wham/usage`) with bearer auth, normalizes response into common snapshot schema\n\n**Pattern**: Adapters handle provider-specific auth and API calls, return normalized `snapshot` objects\n\n### 7. **Services**\n\n**`status-service.js`** (`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/services/status-service.js`):\n- `getStatusSnapshot()` - aggregates config + Codex usage into single snapshot object\n- Loads config (or defaults if missing)\n- Fetches Codex usage via provider adapter\n- Creates failure snapshots with error details if fetch fails\n\n### 8. **Shared & Schemas**\n\n**`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/src/index.js`**:\n- Exports `SCHEMA_VERSION = '0.1.0'`\n\n**`/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/shared/`**:\n- Currently minimal (README only)\n\n### 9. **Key File Paths Reference**\n\n**CLI entry**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js`\n\n**CLI routing**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/run-cli.js`\n\n**Auth store implementation**:\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/account-resolver.js`\n\n**Auth docs**:\n- `/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/auth-cli.md`\n\n**Commands**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/`\n\n**Package metadata**: `/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/package.json`\n\nThis is a well-designed MVP with clear separation of concerns: auth store (file I/O + schema), account resolution logic, CLI routing, provider adapters, and comprehensive design documentation for the OAuth flow implementation roadmap." } ] }, "toolu_01Pj2hpRQ698Fpp9J2beFcgi": { "tool_use_id": "toolu_01Pj2hpRQ698Fpp9J2beFcgi", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -type f -name \"package.json\" | head -20", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/package.json" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/package.json" }, "toolu_01UDcaUGwCQHSwcSAVq4TCeX": { "tool_use_id": "toolu_01UDcaUGwCQHSwcSAVq4TCeX", "tool_name": "Read", "is_error": true, "content": { "Text": "EISDIR: illegal operation on a directory, read '/home/lagoon3/.openclaw/workspace/ai-usage-dashboard'" }, "output": "EISDIR: illegal operation on a directory, read '/home/lagoon3/.openclaw/workspace/ai-usage-dashboard'" }, "toolu_01DmzjPrc9HQfkdto2yXwyr9": { "tool_use_id": "toolu_01DmzjPrc9HQfkdto2yXwyr9", "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_01LKYuLnLPFTbWpN57pjny6D": { "tool_use_id": "toolu_01LKYuLnLPFTbWpN57pjny6D", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/ | head -30", "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 14:14 .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 4116 4월 13 13:51 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 14:14 .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 4116 4월 13 13:51 README.md\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 12 19:37 scripts" }, "toolu_01HFY1hCWGdBR8FH34XQY7P6": { "tool_use_id": "toolu_01HFY1hCWGdBR8FH34XQY7P6", "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_01S3M9hf2m7JMC94CsfXoznz": { "tool_use_id": "toolu_01S3M9hf2m7JMC94CsfXoznz", "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 1924 4월 13 14:13 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 1924 4월 13 14:13 README.md\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 src" }, "toolu_01Mr4gvxizpjt5Yj7JgKZFz4": { "tool_use_id": "toolu_01Mr4gvxizpjt5Yj7JgKZFz4", "tool_name": "Read packages/agent/bin", "is_error": true, "content": { "Text": "EISDIR: illegal operation on a directory, read '/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin'" }, "output": "EISDIR: illegal operation on a directory, read '/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin'" }, "toolu_018N2XNNhhb5RSeSMY7ZyGEC": { "tool_use_id": "toolu_018N2XNNhhb5RSeSMY7ZyGEC", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/", "is_error": false, "content": { "Text": "total 12\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 .\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 14:13 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 292 4월 13 07:06 ai-usage-agent.js" }, "output": "total 12\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 .\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 14:13 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 292 4월 13 07:06 ai-usage-agent.js" }, "toolu_019kEkWNLLB4uzNqqTH4LGNL": { "tool_use_id": "toolu_019kEkWNLLB4uzNqqTH4LGNL", "tool_name": "Read packages/agent/bin/ai-usage-agent.js", "is_error": false, "content": { "Text": "1\t#!/usr/bin/env node\n2\timport { runCli } from '../src/cli/run-cli.js';\n3\t\n4\trunCli(process.argv.slice(2)).catch((error) => {\n5\t console.error('[ai-usage-agent] 실행 중 오류가 발생했습니다.');\n6\t console.error(error instanceof Error ? error.message : String(error));\n7\t process.exit(1);\n8\t});\n9\t" }, "output": "1\t#!/usr/bin/env node\n2\timport { runCli } from '../src/cli/run-cli.js';\n3\t\n4\trunCli(process.argv.slice(2)).catch((error) => {\n5\t console.error('[ai-usage-agent] 실행 중 오류가 발생했습니다.');\n6\t console.error(error instanceof Error ? error.message : String(error));\n7\t process.exit(1);\n8\t});\n9\t" }, "toolu_01SKysrP7YqmdmMn75Epoqx4": { "tool_use_id": "toolu_01SKysrP7YqmdmMn75Epoqx4", "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_01U1Cr73xwudAC8ix6KHwfhG": { "tool_use_id": "toolu_01U1Cr73xwudAC8ix6KHwfhG", "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 14:12 auth\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 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 14:12 auth\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:06 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_01YWAxSahGRVh9yVRZJafyLw": { "tool_use_id": "toolu_01YWAxSahGRVh9yVRZJafyLw", "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\t\n5\texport async function runCli(argv) {\n6\t const [command = 'status', ...rest] = argv;\n7\t\n8\t if (STATUS_COMMANDS.includes(command)) {\n9\t await runStatusCommand(command, rest);\n10\t return;\n11\t }\n12\t\n13\t if (command === 'doctor') {\n14\t await runDoctorCommand();\n15\t return;\n16\t }\n17\t\n18\t if (command === 'config') {\n19\t const [subcommand] = rest;\n20\t if (subcommand === 'init') {\n21\t await runConfigInitCommand();\n22\t return;\n23\t }\n24\t }\n25\t\n26\t printHelp();\n27\t}\n28\t\n29\tfunction printHelp() {\n30\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 inspect # 예정\\n ai-usage-agent sync # 예정`);\n31\t}\n32\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\t\n5\texport async function runCli(argv) {\n6\t const [command = 'status', ...rest] = argv;\n7\t\n8\t if (STATUS_COMMANDS.includes(command)) {\n9\t await runStatusCommand(command, rest);\n10\t return;\n11\t }\n12\t\n13\t if (command === 'doctor') {\n14\t await runDoctorCommand();\n15\t return;\n16\t }\n17\t\n18\t if (command === 'config') {\n19\t const [subcommand] = rest;\n20\t if (subcommand === 'init') {\n21\t await runConfigInitCommand();\n22\t return;\n23\t }\n24\t }\n25\t\n26\t printHelp();\n27\t}\n28\t\n29\tfunction printHelp() {\n30\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 inspect # 예정\\n ai-usage-agent sync # 예정`);\n31\t}\n32\t" }, "toolu_01MmeA8Qxvsa9VQFMq7djypx": { "tool_use_id": "toolu_01MmeA8Qxvsa9VQFMq7djypx", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/", "is_error": false, "content": { "Text": "total 28\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 14:12 .\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 2669 4월 13 14:12 account-resolver.js\n-rw-rw-r-- 1 lagoon3 lagoon3 1060 4월 13 13:54 auth-store.js\n-rw-rw-r-- 1 lagoon3 lagoon3 312 4월 13 13:54 auth-store-path.js\n-rw-rw-r-- 1 lagoon3 lagoon3 1057 4월 13 14:12 auth-store-schema.js\n-rw-rw-r-- 1 lagoon3 lagoon3 150 4월 13 14:12 index.js" }, "output": "total 28\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 14:12 .\ndrwxrwxr-x 7 lagoon3 lagoon3 4096 4월 13 13:54 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 2669 4월 13 14:12 account-resolver.js\n-rw-rw-r-- 1 lagoon3 lagoon3 1060 4월 13 13:54 auth-store.js\n-rw-rw-r-- 1 lagoon3 lagoon3 312 4월 13 13:54 auth-store-path.js\n-rw-rw-r-- 1 lagoon3 lagoon3 1057 4월 13 14:12 auth-store-schema.js\n-rw-rw-r-- 1 lagoon3 lagoon3 150 4월 13 14:12 index.js" }, "toolu_015GWn9QP1CbNfo6gemQHWHS": { "tool_use_id": "toolu_015GWn9QP1CbNfo6gemQHWHS", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/", "is_error": false, "content": { "Text": "total 24\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 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 905 4월 13 07:06 run-cli.js\n-rw-rw-r-- 1 lagoon3 lagoon3 2105 4월 13 12:09 status-command.js" }, "output": "total 24\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 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 905 4월 13 07:06 run-cli.js\n-rw-rw-r-- 1 lagoon3 lagoon3 2105 4월 13 12:09 status-command.js" }, "toolu_017JDGwT6N4QZ8rUMaurAXua": { "tool_use_id": "toolu_017JDGwT6N4QZ8rUMaurAXua", "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" }, "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" }, "toolu_01DjZKzSVczoDSJoiVmQ9GYV": { "tool_use_id": "toolu_01DjZKzSVczoDSJoiVmQ9GYV", "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_01T4w74Crro8wvkxagDsSFNE": { "tool_use_id": "toolu_01T4w74Crro8wvkxagDsSFNE", "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_0183cjtoarvFUjSkzNMGTT9H": { "tool_use_id": "toolu_0183cjtoarvFUjSkzNMGTT9H", "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_01H5Ga37RAWM1rkbz7UpMeYX": { "tool_use_id": "toolu_01H5Ga37RAWM1rkbz7UpMeYX", "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\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\t" }, "toolu_01R44aGx2o3ES5jrsAjrm9Lh": { "tool_use_id": "toolu_01R44aGx2o3ES5jrsAjrm9Lh", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs -type f -name \"*auth*\" 2>/dev/null", "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/auth-cli.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/auth-cli.md" }, "toolu_01HmzxMAzjpaTgj4pdX4Lg8u": { "tool_use_id": "toolu_01HmzxMAzjpaTgj4pdX4Lg8u", "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### Phase 2\n130\t- `auth login codex` localhost callback 구현\n131\t- store 저장/조회 로직 구현\n132\t- status/usage가 새 store 우선 사용하도록 변경\n133\t\n134\t### Phase 3\n135\t- refresh token 갱신\n136\t- `auth list/logout/doctor` 구현\n137\t- manual paste fallback 구현\n138\t- `auth import openclaw` migration 경로 추가\n139\t\n140\t### Phase 4\n141\t- device code fallback 조사/도입\n142\t- keychain 연동\n143\t\n144\t## 현재 확정된 운영 방안\n145\t\n146\t- 토큰 저장은 초기 버전에서 `auth.json` + `0600`으로 시작\n147\t- device code는 후순위 조사 항목으로 둠\n148\t- multi-account는 `lastUsedAt` 자동 선택 + `--account` override 사용\n149\t- callback 포트 충돌 시 기본 포트부터 최대 3회 대체 포트 시도 후 manual paste로 전환\n150\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### Phase 2\n130\t- `auth login codex` localhost callback 구현\n131\t- store 저장/조회 로직 구현\n132\t- status/usage가 새 store 우선 사용하도록 변경\n133\t\n134\t### Phase 3\n135\t- refresh token 갱신\n136\t- `auth list/logout/doctor` 구현\n137\t- manual paste fallback 구현\n138\t- `auth import openclaw` migration 경로 추가\n139\t\n140\t### Phase 4\n141\t- device code fallback 조사/도입\n142\t- keychain 연동\n143\t\n144\t## 현재 확정된 운영 방안\n145\t\n146\t- 토큰 저장은 초기 버전에서 `auth.json` + `0600`으로 시작\n147\t- device code는 후순위 조사 항목으로 둠\n148\t- multi-account는 `lastUsedAt` 자동 선택 + `--account` override 사용\n149\t- callback 포트 충돌 시 기본 포트부터 최대 3회 대체 포트 시도 후 manual paste로 전환\n150\t" }, "toolu_01P4tYohFfZJwi4GCXCPU25D": { "tool_use_id": "toolu_01P4tYohFfZJwi4GCXCPU25D", "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_01LDKkugjPEHq6uDqd3EftWJ": { "tool_use_id": "toolu_01LDKkugjPEHq6uDqd3EftWJ", "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\t기본 동작:\n22\t- localhost callback OAuth 시도\n23\t- 브라우저 자동 열기 시도\n24\t- 성공 시 token 저장\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\t출력:\n120\t1. 아래 URL을 브라우저에서 열어주세요\n121\t2. 완료 후 callback URL 전체를 붙여넣어 주세요\n122\t3. 저장 완료\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\t기본 동작:\n22\t- localhost callback OAuth 시도\n23\t- 브라우저 자동 열기 시도\n24\t- 성공 시 token 저장\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\t출력:\n120\t1. 아래 URL을 브라우저에서 열어주세요\n121\t2. 완료 후 callback URL 전체를 붙여넣어 주세요\n122\t3. 저장 완료\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_01SKHKwTZ8cmrPFo491XLkuB": { "tool_use_id": "toolu_01SKHKwTZ8cmrPFo491XLkuB", "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_01Be9Ak5g2rzcFZY6GUSy3mW": { "tool_use_id": "toolu_01Be9Ak5g2rzcFZY6GUSy3mW", "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: ${resolveAgentConfigPath()}`);\n7\t console.log('향후 점검 예정 항목:');\n8\t console.log('- provider auth 존재 여부');\n9\t console.log('- config 유효성');\n10\t console.log('- endpoint 호출 가능 여부');\n11\t}\n12\t" }, "toolu_01KEoeTWXwZXJnyPpaXbX7G3": { "tool_use_id": "toolu_01KEoeTWXwZXJnyPpaXbX7G3", "tool_name": "Read packages/agent/src/cli/config-init-command.js", "is_error": false, "content": { "Text": "1\timport fs from 'node:fs/promises';\n2\timport { createDefaultConfig } from '../config/default-config.js';\n3\timport { resolveAgentConfigDir, resolveAgentConfigPath } from '../config/config-path.js';\n4\t\n5\texport async function runConfigInitCommand() {\n6\t const dir = resolveAgentConfigDir();\n7\t const file = resolveAgentConfigPath();\n8\t const config = createDefaultConfig();\n9\t\n10\t await fs.mkdir(dir, { recursive: true });\n11\t await fs.writeFile(file, `${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_01B95EVhxFeUQQ4EhunaD34f": { "tool_use_id": "toolu_01B95EVhxFeUQQ4EhunaD34f", "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_01XdSZDsetgnAFDoUHvV2uQG": { "tool_use_id": "toolu_01XdSZDsetgnAFDoUHvV2uQG", "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_01Rvcxmnt3bq2f9aCcQiYLpU": { "tool_use_id": "toolu_01Rvcxmnt3bq2f9aCcQiYLpU", "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_017Qcnqi9SiFC7BwtErCPxe8": { "tool_use_id": "toolu_017Qcnqi9SiFC7BwtErCPxe8", "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_01NJ1LxjEaQuzNCMxcstQAu8": { "tool_use_id": "toolu_01NJ1LxjEaQuzNCMxcstQAu8", "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_01YApste9hmi66obZRJCh4nW": { "tool_use_id": "toolu_01YApste9hmi66obZRJCh4nW", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/", "is_error": false, "content": { "Text": "total 16\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 13 07:11 .\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 13 07:11 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:11 codex\n-rw-rw-r-- 1 lagoon3 lagoon3 34 4월 13 07:11 index.js" }, "output": "total 16\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 13 07:11 .\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 13 07:11 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:11 codex\n-rw-rw-r-- 1 lagoon3 lagoon3 34 4월 13 07:11 index.js" }, "toolu_01JBmZrh114rbGWfV76fwhX3": { "tool_use_id": "toolu_01JBmZrh114rbGWfV76fwhX3", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/shared/", "is_error": false, "content": { "Text": "total 12\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 .\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 267 4월 13 12:15 README.md" }, "output": "total 12\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 .\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 267 4월 13 12:15 README.md" }, "toolu_0197aPxdnvxV1D4VdfGFf87g": { "tool_use_id": "toolu_0197aPxdnvxV1D4VdfGFf87g", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/src/codex/", "is_error": false, "content": { "Text": "total 20\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:11 .\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 13 07:11 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 3304 4월 13 12:09 fetch-codex-usage.js\n-rw-rw-r-- 1 lagoon3 lagoon3 87 4월 13 07:11 index.js\n-rw-rw-r-- 1 lagoon3 lagoon3 940 4월 13 07:11 read-codex-auth-profiles.js" }, "output": "total 20\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 07:11 .\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 13 07:11 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 3304 4월 13 12:09 fetch-codex-usage.js\n-rw-rw-r-- 1 lagoon3 lagoon3 87 4월 13 07:11 index.js\n-rw-rw-r-- 1 lagoon3 lagoon3 940 4월 13 07:11 read-codex-auth-profiles.js" }, "toolu_01VvaFxVHzFJek5phMKm7rum": { "tool_use_id": "toolu_01VvaFxVHzFJek5phMKm7rum", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/src/", "is_error": false, "content": { "Text": "total 12\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 12:05 .\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 12:06 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 39 4월 13 12:05 index.js" }, "output": "total 12\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 12:05 .\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 12:06 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 39 4월 13 12:05 index.js" }, "toolu_01CwrEDdCCaZ7CSAGBxLWKLK": { "tool_use_id": "toolu_01CwrEDdCCaZ7CSAGBxLWKLK", "tool_name": "Read packages/schemas/src/index.js", "is_error": false, "content": { "Text": "1\texport const SCHEMA_VERSION = '0.1.0';\n2\t" }, "output": "1\texport const SCHEMA_VERSION = '0.1.0';\n2\t" }, "toolu_01Wn3Xg2NhqdUCqwBrHxtTDU": { "tool_use_id": "toolu_01Wn3Xg2NhqdUCqwBrHxtTDU", "tool_name": "Read packages/provider-adapters/src/index.js", "is_error": false, "content": { "Text": "1\texport * from './codex/index.js';\n2\t" }, "output": "1\texport * from './codex/index.js';\n2\t" }, "toolu_012THEL5F6Lo3wFHN8QZcbUf": { "tool_use_id": "toolu_012THEL5F6Lo3wFHN8QZcbUf", "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_014enr8ASaXStPmViX3vnqwH": { "tool_use_id": "toolu_014enr8ASaXStPmViX3vnqwH", "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_01MLziP8c47Qq22k3PnY42Bp": { "tool_use_id": "toolu_01MLziP8c47Qq22k3PnY42Bp", "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_01A6h5kQko3VU6Gfc8SDNZ3y": { "tool_use_id": "toolu_01A6h5kQko3VU6Gfc8SDNZ3y", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/types/", "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 102 4월 13 07:06 README.md" }, "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 102 4월 13 07:06 README.md" }, "toolu_016L4yiMDCtufiv8LtAME2B1": { "tool_use_id": "toolu_016L4yiMDCtufiv8LtAME2B1", "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- Codex provider live usage 조회 결과 출력\n16\t- 공통 snapshot 스키마 기반 출력 흐름\n17\t\n18\t아직 미구현 또는 초기 상태:\n19\t- Claude adapter 연결\n20\t- `inspect ` 상세 출력\n21\t- `sync` 업로드 기능\n22\t- 정식 formatter / table renderer\n23\t- schema validation\n24\t\n25\t## 현재 가능한 명령\n26\t\n27\t- `ai-usage-agent status`\n28\t - 현재 설정과 Codex live usage 결과를 출력\n29\t- `ai-usage-agent usage`\n30\t - 현재는 `status`와 동일한 경로로 usage 요약 출력\n31\t- `ai-usage-agent doctor`\n32\t - auth/config/path/endpoint 진단용 명령 자리\n33\t- `ai-usage-agent config init`\n34\t - 기본 설정 파일 생성\n35\t\n36\t## 로컬 개발 실행\n37\t\n38\t프로젝트 루트에서:\n39\t\n40\t```bash\n41\tnpm run agent:status\n42\tnpm run agent:usage\n43\tnpm run agent:doctor\n44\tnpm run agent:config:init\n45\t```\n46\t\n47\t또는 직접 실행:\n48\t\n49\t```bash\n50\tnode packages/agent/bin/ai-usage-agent.js status\n51\t```\n52\t\n53\t## 설정 파일\n54\t\n55\t기본 설정 경로:\n56\t\n57\t```text\n58\t~/.config/ai-usage-agent/config.json\n59\t```\n60\t\n61\t현재 기본 설정에는 아래 항목이 들어간다:\n62\t- 출력 포맷\n63\t- sync 사용 여부\n64\t- provider 활성화 여부\n65\t\n66\t## 현재 Codex 연동 방식\n67\t\n68\t- OpenClaw auth profile 저장소를 읽음\n69\t- Codex usage endpoint를 bearer auth로 호출\n70\t- 응답을 공통 snapshot 구조로 변환\n71\t- 시간 필드는 ISO datetime string으로 정규화\n72\t- provider 원본값은 snapshot의 `raw`에 보존\n73\t\n74\t## 예정 명령\n75\t\n76\t- `ai-usage-agent inspect `\n77\t- `ai-usage-agent sync`\n78\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- Codex provider live usage 조회 결과 출력\n16\t- 공통 snapshot 스키마 기반 출력 흐름\n17\t\n18\t아직 미구현 또는 초기 상태:\n19\t- Claude adapter 연결\n20\t- `inspect ` 상세 출력\n21\t- `sync` 업로드 기능\n22\t- 정식 formatter / table renderer\n23\t- schema validation\n24\t\n25\t## 현재 가능한 명령\n26\t\n27\t- `ai-usage-agent status`\n28\t - 현재 설정과 Codex live usage 결과를 출력\n29\t- `ai-usage-agent usage`\n30\t - 현재는 `status`와 동일한 경로로 usage 요약 출력\n31\t- `ai-usage-agent doctor`\n32\t - auth/config/path/endpoint 진단용 명령 자리\n33\t- `ai-usage-agent config init`\n34\t - 기본 설정 파일 생성\n35\t\n36\t## 로컬 개발 실행\n37\t\n38\t프로젝트 루트에서:\n39\t\n40\t```bash\n41\tnpm run agent:status\n42\tnpm run agent:usage\n43\tnpm run agent:doctor\n44\tnpm run agent:config:init\n45\t```\n46\t\n47\t또는 직접 실행:\n48\t\n49\t```bash\n50\tnode packages/agent/bin/ai-usage-agent.js status\n51\t```\n52\t\n53\t## 설정 파일\n54\t\n55\t기본 설정 경로:\n56\t\n57\t```text\n58\t~/.config/ai-usage-agent/config.json\n59\t```\n60\t\n61\t현재 기본 설정에는 아래 항목이 들어간다:\n62\t- 출력 포맷\n63\t- sync 사용 여부\n64\t- provider 활성화 여부\n65\t\n66\t## 현재 Codex 연동 방식\n67\t\n68\t- OpenClaw auth profile 저장소를 읽음\n69\t- Codex usage endpoint를 bearer auth로 호출\n70\t- 응답을 공통 snapshot 구조로 변환\n71\t- 시간 필드는 ISO datetime string으로 정규화\n72\t- provider 원본값은 snapshot의 `raw`에 보존\n73\t\n74\t## 예정 명령\n75\t\n76\t- `ai-usage-agent inspect `\n77\t- `ai-usage-agent sync`\n78\t" }, "toolu_01NLCuF4JWJWYe9p1kUxLkSH": { "tool_use_id": "toolu_01NLCuF4JWJWYe9p1kUxLkSH", "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_01MjamBSuuU8VhQoXjFPahzn": { "tool_use_id": "toolu_01MjamBSuuU8VhQoXjFPahzn", "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## 다음 작업\n157\t\n158\t1. auth 독립화용 이슈 단위 분리\n159\t2. agent auth store 구현 시작\n160\t3. `auth login codex` CLI 골격 추가\n161\t4. Claude 인증 경로별 테스트 추가\n162\t5. 대시보드 MVP 화면 구성\n163\t\n164\t## 라이선스\n165\t\n166\t추후 결정\n167\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## 다음 작업\n157\t\n158\t1. auth 독립화용 이슈 단위 분리\n159\t2. agent auth store 구현 시작\n160\t3. `auth login codex` CLI 골격 추가\n161\t4. Claude 인증 경로별 테스트 추가\n162\t5. 대시보드 MVP 화면 구성\n163\t\n164\t## 라이선스\n165\t\n166\t추후 결정\n167\t" }, "toolu_018n9efsg32XJSEsFfSuVsos": { "tool_use_id": "toolu_018n9efsg32XJSEsFfSuVsos", "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_01WkrYLTNQvui6Jj4RY5oRKN": { "tool_use_id": "toolu_01WkrYLTNQvui6Jj4RY5oRKN", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs -type f -name \"*.md\" | sort", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/architecture.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-cli.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-store-schema.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/provider-notes.md" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/architecture.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-cli.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-store-schema.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/provider-notes.md" }, "toolu_01Xahag8BLum38a7wtxXeo4s": { "tool_use_id": "toolu_01Xahag8BLum38a7wtxXeo4s", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth -type f | 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" }, "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" }, "toolu_018r2VaydTua5pWSTbgUyHJm": { "tool_use_id": "toolu_018r2VaydTua5pWSTbgUyHJm", "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\t\n5\texport async function runCli(argv) {\n6\t const [command = 'status', ...rest] = argv;\n7\t\n8\t if (STATUS_COMMANDS.includes(command)) {\n9\t await runStatusCommand(command, rest);\n10\t return;\n11\t }\n12\t\n13\t if (command === 'doctor') {\n14\t await runDoctorCommand();\n15\t return;\n16\t }\n17\t\n18\t if (command === 'config') {\n19\t const [subcommand] = rest;\n20\t if (subcommand === 'init') {\n21\t await runConfigInitCommand();\n22\t return;\n23\t }\n24\t }\n25\t\n26\t printHelp();\n27\t}\n28\t\n29\tfunction printHelp() {\n30\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 inspect # 예정\\n ai-usage-agent sync # 예정`);\n31\t}\n32\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\t\n5\texport async function runCli(argv) {\n6\t const [command = 'status', ...rest] = argv;\n7\t\n8\t if (STATUS_COMMANDS.includes(command)) {\n9\t await runStatusCommand(command, rest);\n10\t return;\n11\t }\n12\t\n13\t if (command === 'doctor') {\n14\t await runDoctorCommand();\n15\t return;\n16\t }\n17\t\n18\t if (command === 'config') {\n19\t const [subcommand] = rest;\n20\t if (subcommand === 'init') {\n21\t await runConfigInitCommand();\n22\t return;\n23\t }\n24\t }\n25\t\n26\t printHelp();\n27\t}\n28\t\n29\tfunction printHelp() {\n30\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 inspect # 예정\\n ai-usage-agent sync # 예정`);\n31\t}\n32\t" }, "toolu_01LLwR5qaH7qG1WhWhKjQ6Xk": { "tool_use_id": "toolu_01LLwR5qaH7qG1WhWhKjQ6Xk", "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\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\t" }, "toolu_01Jyh9sqvGgQ6hArNZXkSBWN": { "tool_use_id": "toolu_01Jyh9sqvGgQ6hArNZXkSBWN", "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\t기본 동작:\n22\t- localhost callback OAuth 시도\n23\t- 브라우저 자동 열기 시도\n24\t- 성공 시 token 저장\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\t출력:\n120\t1. 아래 URL을 브라우저에서 열어주세요\n121\t2. 완료 후 callback URL 전체를 붙여넣어 주세요\n122\t3. 저장 완료\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\t기본 동작:\n22\t- localhost callback OAuth 시도\n23\t- 브라우저 자동 열기 시도\n24\t- 성공 시 token 저장\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\t출력:\n120\t1. 아래 URL을 브라우저에서 열어주세요\n121\t2. 완료 후 callback URL 전체를 붙여넣어 주세요\n122\t3. 저장 완료\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_01YGNeXBWqFt7v92rCaseyQz": { "tool_use_id": "toolu_01YGNeXBWqFt7v92rCaseyQz", "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_01DeGG6Cc2o9d1w9Fj3FPwPc": { "tool_use_id": "toolu_01DeGG6Cc2o9d1w9Fj3FPwPc", "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_01HWRUMd9CkVWzckRBUGUy6P": { "tool_use_id": "toolu_01HWRUMd9CkVWzckRBUGUy6P", "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### Phase 2\n130\t- `auth login codex` localhost callback 구현\n131\t- store 저장/조회 로직 구현\n132\t- status/usage가 새 store 우선 사용하도록 변경\n133\t\n134\t### Phase 3\n135\t- refresh token 갱신\n136\t- `auth list/logout/doctor` 구현\n137\t- manual paste fallback 구현\n138\t- `auth import openclaw` migration 경로 추가\n139\t\n140\t### Phase 4\n141\t- device code fallback 조사/도입\n142\t- keychain 연동\n143\t\n144\t## 현재 확정된 운영 방안\n145\t\n146\t- 토큰 저장은 초기 버전에서 `auth.json` + `0600`으로 시작\n147\t- device code는 후순위 조사 항목으로 둠\n148\t- multi-account는 `lastUsedAt` 자동 선택 + `--account` override 사용\n149\t- callback 포트 충돌 시 기본 포트부터 최대 3회 대체 포트 시도 후 manual paste로 전환\n150\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### Phase 2\n130\t- `auth login codex` localhost callback 구현\n131\t- store 저장/조회 로직 구현\n132\t- status/usage가 새 store 우선 사용하도록 변경\n133\t\n134\t### Phase 3\n135\t- refresh token 갱신\n136\t- `auth list/logout/doctor` 구현\n137\t- manual paste fallback 구현\n138\t- `auth import openclaw` migration 경로 추가\n139\t\n140\t### Phase 4\n141\t- device code fallback 조사/도입\n142\t- keychain 연동\n143\t\n144\t## 현재 확정된 운영 방안\n145\t\n146\t- 토큰 저장은 초기 버전에서 `auth.json` + `0600`으로 시작\n147\t- device code는 후순위 조사 항목으로 둠\n148\t- multi-account는 `lastUsedAt` 자동 선택 + `--account` override 사용\n149\t- callback 포트 충돌 시 기본 포트부터 최대 3회 대체 포트 시도 후 manual paste로 전환\n150\t" }, "toolu_019Uty3Tu3xNyNBUHwppzes9": { "tool_use_id": "toolu_019Uty3Tu3xNyNBUHwppzes9", "tool_name": "Write packages/agent/src/auth/port-fallback.js", "is_error": false, "content": { "Text": "File created successfully at: /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/port-fallback.js" }, "output": "File created successfully at: /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/port-fallback.js" }, "toolu_01Bd7QkctWdxHfdEvGzzGfKd": { "tool_use_id": "toolu_01Bd7QkctWdxHfdEvGzzGfKd", "tool_name": "Write packages/agent/src/auth/localhost-callback.js", "is_error": false, "content": { "Text": "File created successfully at: /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/localhost-callback.js" }, "output": "File created successfully at: /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/auth/localhost-callback.js" }, "toolu_017A2n4FGyBfxyfVivBKEpou": { "tool_use_id": "toolu_017A2n4FGyBfxyfVivBKEpou", "tool_name": "Write", "is_error": false, "content": { "Text": "" } } } } } ], "updated_at": "2026-04-13T05:19:58.796Z", "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" ] } }