{ "schema": "acpx.session.v1", "acpx_record_id": "agent:claude:acp:6682c109-0e7d-456f-a6ec-e3609da0b204", "acp_session_id": "9dabac94-b3ca-4323-9231-d3601195839f", "agent_command": "npx -y @agentclientprotocol/claude-agent-acp@^0.25.0", "cwd": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard", "name": "agent:claude:acp:6682c109-0e7d-456f-a6ec-e3609da0b204", "created_at": "2026-04-13T03:23:34.329Z", "last_used_at": "2026-04-13T03:37:37.047Z", "last_seq": 0, "last_request_id": "2873", "event_log": { "active_path": "/home/lagoon3/.acpx/sessions/agent%3Aclaude%3Aacp%3A6682c109-0e7d-456f-a6ec-e3609da0b204.stream.ndjson", "segment_count": 5, "max_segment_bytes": 67108864, "max_segments": 5, "last_write_error": null }, "closed": true, "closed_at": "2026-04-13T03:38:07.395Z", "pid": 1471385, "agent_started_at": "2026-04-13T03:37:32.380Z", "last_prompt_at": "2026-04-13T03:37:37.021Z", "protocol_version": 1, "agent_capabilities": { "_meta": { "claudeCode": { "promptQueueing": true } }, "promptCapabilities": { "image": true, "embeddedContext": true }, "mcpCapabilities": { "http": true, "sse": true }, "loadSession": true, "sessionCapabilities": { "fork": {}, "list": {}, "resume": {}, "close": {} } }, "title": null, "messages": [ { "User": { "id": "0c1e516f-d398-4237-bb70-bc6dab15d07e", "content": [ { "Text": "[Mon 2026-04-13 12:23 GMT+9] You are working in the ai-usage-dashboard repo at /home/lagoon3/.openclaw/workspace/ai-usage-dashboard.\n\nGoal: plan and prepare the project to remove OpenClaw auth-profile dependency and make auth work independently.\n\nWork in this exact order:\n1. Write an auth architecture document for independent auth handling without OpenClaw.\n2. Design a credential store schema for the agent's own auth store.\n3. Draft the CLI interface for auth commands, especially `auth login codex` and related commands.\n4. If appropriate after the above, update or create GitHub issue(s) to track this auth independence work.\n\nImportant constraints:\n- This is planning/design work first, not full implementation.\n- Current preferred auth direction:\n - primary: localhost callback OAuth flow\n - fallback: device code if available\n - fallback: manual paste/callback URL handoff\n- Normalized schema timestamps in the project should stay ISO datetime strings.\n- Provider raw values should remain preserved under `raw`.\n- The future system should not depend on OpenClaw auth-profiles, but it may support OpenClaw import as a migration aid.\n- Keep docs and issue text in Korean.\n- Follow repo conventions: commit titles `type(scope): 한글 설명`.\n- Branch flow is feature branch -> dev -> main.\n\nExpected output:\n- Make the needed repo edits for docs/specs.\n- If you create or update issue(s), do it directly.\n- Summarize what you changed, what remains undecided, and any key tradeoffs.\n\nDo not start broad implementation beyond planning/spec drafts unless it is necessary to express the design clearly." } ] } }, { "Agent": { "content": [ { "Thinking": { "text": "Let me start by understanding the current project structure and any existing auth-related code/docs.", "signature": null } }, { "ToolUse": { "id": "toolu_0196kEBtKC8FCuJda8NTBGdY", "name": "Explore repo structure and auth", "raw_input": "{\"subagent_type\":\"Explore\",\"description\":\"Explore repo structure and auth\",\"prompt\":\"Explore the ai-usage-dashboard repo at /home/lagoon3/.openclaw/workspace/ai-usage-dashboard. I need to understand:\\n\\n1. Overall project structure (top-level dirs, key config files)\\n2. Any existing auth-related code, configs, or docs (search for \\\"auth\\\", \\\"credential\\\", \\\"token\\\", \\\"login\\\", \\\"oauth\\\")\\n3. Any existing docs/ directory content\\n4. Package.json or similar project config\\n5. Any CLAUDE.md or similar project conventions\\n6. Any references to \\\"openclaw\\\" or \\\"auth-profile\\\" in the codebase\\n7. Current CLI interface if any exists\\n\\nThoroughness: very thorough. Report all findings concisely.\"}", "input": { "subagent_type": "Explore", "description": "Explore repo structure and auth", "prompt": "Explore the ai-usage-dashboard repo at /home/lagoon3/.openclaw/workspace/ai-usage-dashboard. I need to understand:\n\n1. Overall project structure (top-level dirs, key config files)\n2. Any existing auth-related code, configs, or docs (search for \"auth\", \"credential\", \"token\", \"login\", \"oauth\")\n3. Any existing docs/ directory content\n4. Package.json or similar project config\n5. Any CLAUDE.md or similar project conventions\n6. Any references to \"openclaw\" or \"auth-profile\" in the codebase\n7. Current CLI interface if any exists\n\nThoroughness: very thorough. Report all findings concisely." }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_015dMLJ5XdrLoeeDWi885fvg", "name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard", "raw_input": "{\"command\":\"ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard\"}", "input": { "command": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_011TAm1SzLPF8Qcpg1fst7yR", "name": "Read package.json", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/package.json" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01XEDnrr4CZVZcv9pDqwer8t", "name": "Read README.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/README.md\"}", "input": { "file_path": 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"is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01FVocMhTGfKBP8ojgG6kAz9", "name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -name \"CLAUDE.md\" -o -name \"claude.md\"", "raw_input": "{\"command\":\"find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -name \\\"CLAUDE.md\\\" -o -name \\\"claude.md\\\"\"}", "input": { "command": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -name \"CLAUDE.md\" -o -name \"claude.md\"" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01Q481fnTZHeeHw6v3nyio6N", "name": "grep -l \"auth|credential|token|login|oauth\" /home/lagoon3/.openclaw/workspace/ai-usage-dashboard", "raw_input": "{\"pattern\":\"auth|credential|token|login|oauth\",\"path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard\",\"output_mode\":\"files_with_matches\"}", "input": { "pattern": "auth|credential|token|login|oauth", "path": 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/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts/poc/" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01FFyMdkEvY5S8QtXJd513vH", "name": "Read scripts/poc/codex-usage-check.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts/poc/codex-usage-check.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts/poc/codex-usage-check.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01H8L9MVME7idGEtBosM2caF", "name": "Read scripts/poc/claude-usage-check.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts/poc/claude-usage-check.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts/poc/claude-usage-check.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01AxtWFuEmkaVTNWgSGK8CMK", "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_0166QxWSQH3Qpbz3asTXMMys", "name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps -maxdepth 2 -type f -name \"*.json\" | head -10", "raw_input": "{\"command\":\"find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps -maxdepth 2 -type f -name \\\"*.json\\\" | head -10\"}", "input": { "command": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps -maxdepth 2 -type f -name \"*.json\" | head -10" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_012JnEwFg2cfxGn1G3bh5kG6", "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_01GZaDG63VPvU3x3LnjNACai", "name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github -type f", "raw_input": "{\"command\":\"find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github -type f\"}", "input": { "command": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github -type f" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01NzSuytu5Ww8RGLxTcVG7EP", "name": "Read .github/pull_request_template.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/pull_request_template.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/pull_request_template.md" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01F7CAqGbRzebBJqYQZQrR9w", "name": "Read packages/schemas/README.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/README.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/README.md" }, "is_input_complete": true, "thought_signature": null } }, { "Text": "Now let me read the key files I need to reference for the design." }, { "ToolUse": { "id": "toolu_01Kmuj75PB5Mmqzv8B9EWcrd", "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_01YFUwcHV4M7UrsPHijpqDCJ", "name": "Read packages/agent/bin/ai-usage-agent.js", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01WMuA3oJJjb4YyuFdNwKzkG", "name": "Read docs/architecture.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/architecture.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/architecture.md" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01Dgdu83PQZRsYNmDMNHitwD", "name": "Read docs/provider-notes.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/provider-notes.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/provider-notes.md" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01MdFqxggUromsDi3pFGyQkc", "name": "Read packages/schemas/src/usage-snapshot.schema.json", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/src/usage-snapshot.schema.json\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/src/usage-snapshot.schema.json" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01YXTV7t1G7csq9NRjMxcGaK", "name": "Find `packages/schemas/**/*.json`", "raw_input": "{\"pattern\":\"packages/schemas/**/*.json\"}", "input": { "pattern": "packages/schemas/**/*.json" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01NwvzfSRa1KtsmYPvLfUxU8", "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_017JMf5w2TA93xzXDLMWztX2", "name": "Read CONTRIBUTING.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/CONTRIBUTING.md\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/CONTRIBUTING.md" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01EYiQ5Vkp8fRanDwuSsx6nc", "name": "Read packages/schemas/usage-snapshot.schema.json", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/usage-snapshot.schema.json\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/usage-snapshot.schema.json" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01NhDCAwj3vjWhZNLkPgBf7d", "name": "Read packages/schemas/usage-event.schema.json", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/usage-event.schema.json\"}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/usage-event.schema.json" }, "is_input_complete": true, "thought_signature": null } }, { "Thinking": { "text": "Now I have a thorough understanding of the project. Let me plan the deliverables:\n\n1. Auth architecture document (`docs/auth-architecture.md`) - independent auth handling design\n2. Credential store schema (`docs/credential-store-schema.md` or similar) - the agent's own auth store\n3. CLI interface draft (`docs/auth-cli-spec.md`) - auth commands design\n4. GitHub issue(s) for tracking\n\nLet me also check if there's an existing memory file and any existing GitHub issues.", "signature": null } }, { "ToolUse": { "id": "toolu_01Gxcppf8JrTkv8ZWKa4HJAU", "name": "ToolSearch", "raw_input": "{\"query\":\"select:TodoWrite\",\"max_results\":1}", "input": { "query": "select:TodoWrite", "max_results": 1 }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_012S4J26zewkHHYutQiJWUjj", "name": "gh issue list --state open --limit 20 2>/dev/null || echo \"No gh access or no issues\"", "raw_input": "{\"command\":\"gh issue list --state open --limit 20 2>/dev/null || echo \\\"No gh access or no issues\\\"\",\"description\":\"List open GitHub issues\"}", "input": { "command": "gh issue list --state open --limit 20 2>/dev/null || echo \"No gh access or no issues\"", "description": "List open GitHub issues" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_019kAzbmXh8vYuDH1T5f5HJK", "name": "Read /home/lagoon3/.claude/projects/-home-lagoon3--openclaw-workspace-ai-usage-dashboard/memory/MEMORY.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.claude/projects/-home-lagoon3--openclaw-workspace-ai-usage-dashboard/memory/MEMORY.md\"}", "input": { "file_path": "/home/lagoon3/.claude/projects/-home-lagoon3--openclaw-workspace-ai-usage-dashboard/memory/MEMORY.md" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01MUZvi8DG76wsUACtL81NU7", "name": "Write", "raw_input": "{}", "input": {}, "is_input_complete": false, "thought_signature": null } } ], "tool_results": { "toolu_0196kEBtKC8FCuJda8NTBGdY": { "tool_use_id": "toolu_0196kEBtKC8FCuJda8NTBGdY", "tool_name": "Explore repo structure and auth", "is_error": false, "content": { "Text": "[{\"type\":\"text\",\"text\":\"Perfect! Now let me create a comprehensive summary of my findings:\\n\\n## COMPREHENSIVE EXPLORATION REPORT: ai-usage-dashboard\\n\\n### 1. OVERALL PROJECT STRUCTURE\\n\\n**Top-level directories:**\\n- `/apps/` - Contains web and api applications (scaffold stage)\\n- `/packages/` - Monorepo packages: agent (CLI), shared, provider-adapters, schemas\\n- `/docs/` - Architecture and provider documentation\\n- `/scripts/poc/` - Proof-of-concept test scripts\\n- `/.github/` - PR templates and issue templates\\n\\n**Key config files:**\\n- `package.json` (monorepo root with workspace definitions)\\n- `README.md` (Korean, describes goals and architecture)\\n- `CONTRIBUTING.md` (Branch strategy, commit rules, PR conventions)\\n\\n### 2. AUTH-RELATED CODE & CONFIGS (Very Extensive)\\n\\n**Auth Profile Storage:**\\n- Path: `~/.openclaw/agents/main/agent/auth-profiles.json`\\n- Referenced in: `packages/provider-adapters/src/codex/read-codex-auth-profiles.js`\\n- Structure: JSON with `profiles` object containing provider entries\\n\\n**Codex OAuth Handling:**\\n- File: `/packages/provider-adapters/src/codex/read-codex-auth-profiles.js`\\n - Filters profiles where `provider === \\\"openai-codex\\\"` and `type === \\\"oauth\\\"`\\n - Extracts: `id`, `accessToken`, `accountId`, `email`, `expires`\\n- File: `/packages/provider-adapters/src/codex/fetch-codex-usage.js`\\n - Calls `https://chatgpt.com/backend-api/wham/usage`\\n - Uses Bearer token auth + optional `ChatGPT-Account-Id` header\\n - Returns normalized snapshot with status buckets: ok, rate_limit, usage_window, billing, auth, overloaded, unknown\\n\\n**Claude Auth Methods (Documented but Not Yet Implemented):**\\n- OAuth endpoint: `https://api.anthropic.com/api/oauth/usage`\\n- Web fallback endpoints:\\n - `https://claude.ai/api/organizations`\\n - `https://claude.ai/api/organizations/{orgId}/usage`\\n- Fallback auth: session key/cookie\\n\\n**Auth-related schema enums:**\\n- `authType`: oauth, session_cookie, session_key, api_key, unknown\\n- `source`: provider_usage_endpoint, local_observed_event, inferred\\n- `confidence`: high, medium, low\\n- `status.bucket`: ok, rate_limit, usage_window, billing, auth, overloaded, unknown\\n\\n**Security Principles (from README):**\\n- Refresh tokens/session cookies/sessionKeys NOT stored on server\\n- Raw prompts/responses/transcripts NOT uploaded\\n- Server receives only normalized metadata\\n\\n### 3. DOCS DIRECTORY CONTENT\\n\\n**architecture.md:**\\n- Hybrid architecture: local agent for auth-dependent providers, backend for stable API providers\\n- Key components: local agent, backend API, web dashboard\\n- Event normalization layer\\n\\n**provider-notes.md:**\\n- Codex: `https://chatgpt.com/backend-api/wham/usage`, OAuth bearer token, verified working\\n- Claude: OAuth and web fallback endpoints documented, awaiting auth implementation\\n\\n### 4. PACKAGE.JSON & PROJECT CONFIG\\n\\n**Root package.json:**\\n```json\\n{\\n \\\"name\\\": \\\"ai-usage-dashboard\\\",\\n \\\"workspaces\\\": [\\\"apps/*\\\", \\\"packages/*\\\"],\\n \\\"scripts\\\": {\\n \\\"agent:status\\\": \\\"node ./packages/agent/bin/ai-usage-agent.js status\\\",\\n \\\"agent:usage\\\": \\\"node ./packages/agent/bin/ai-usage-agent.js usage\\\",\\n \\\"agent:doctor\\\": \\\"node ./packages/agent/bin/ai-usage-agent.js doctor\\\",\\n \\\"agent:config:init\\\": \\\"node ./packages/agent/bin/ai-usage-agent.js config init\\\"\\n }\\n}\\n```\\n\\n**packages/agent/package.json:**\\n- Entry: `bin/ai-usage-agent.js`\\n- Type: ES modules\\n- Scripts: dev, status, doctor\\n\\n### 5. PROJECT CONVENTIONS (CLAUDE.md equivalent)\\n\\n**No CLAUDE.md found, but CONTRIBUTING.md defines:**\\n- **Branch strategy:** `main` (stable), `dev` (integration), feature branches from dev\\n- **Commit format:** `type(scope): 한글설명` (Korean descriptions, English types)\\n- **Types:** feat, fix, refactor, docs, chore, ci, test, perf\\n- **PR format:** `[type] 한글요약` with required sections\\n- **Language:** Commit types English, descriptions/PR bodies Korean\\n- **Scope examples:** web, api, schemas, adapters, code..." }, "output": [ { "type": "text", "text": "Perfect! Now let me create a comprehensive summary of my findings:\n\n## COMPREHENSIVE EXPLORATION REPORT: ai-usage-dashboard\n\n### 1. OVERALL PROJECT STRUCTURE\n\n**Top-level directories:**\n- `/apps/` - Contains web and api applications (scaffold stage)\n- `/packages/` - Monorepo packages: agent (CLI), shared, provider-adapters, schemas\n- `/docs/` - Architecture and provider documentation\n- `/scripts/poc/` - Proof-of-concept test scripts\n- `/.github/` - PR templates and issue templates\n\n**Key config files:**\n- `package.json` (monorepo root with workspace definitions)\n- `README.md` (Korean, describes goals and architecture)\n- `CONTRIBUTING.md` (Branch strategy, commit rules, PR conventions)\n\n### 2. AUTH-RELATED CODE & CONFIGS (Very Extensive)\n\n**Auth Profile Storage:**\n- Path: `~/.openclaw/agents/main/agent/auth-profiles.json`\n- Referenced in: `packages/provider-adapters/src/codex/read-codex-auth-profiles.js`\n- Structure: JSON with `profiles` object containing provider entries\n\n**Codex OAuth Handling:**\n- File: `/packages/provider-adapters/src/codex/read-codex-auth-profiles.js`\n - Filters profiles where `provider === \"openai-codex\"` and `type === \"oauth\"`\n - Extracts: `id`, `accessToken`, `accountId`, `email`, `expires`\n- File: `/packages/provider-adapters/src/codex/fetch-codex-usage.js`\n - Calls `https://chatgpt.com/backend-api/wham/usage`\n - Uses Bearer token auth + optional `ChatGPT-Account-Id` header\n - Returns normalized snapshot with status buckets: ok, rate_limit, usage_window, billing, auth, overloaded, unknown\n\n**Claude Auth Methods (Documented but Not Yet Implemented):**\n- OAuth endpoint: `https://api.anthropic.com/api/oauth/usage`\n- Web fallback endpoints:\n - `https://claude.ai/api/organizations`\n - `https://claude.ai/api/organizations/{orgId}/usage`\n- Fallback auth: session key/cookie\n\n**Auth-related schema enums:**\n- `authType`: oauth, session_cookie, session_key, api_key, unknown\n- `source`: provider_usage_endpoint, local_observed_event, inferred\n- `confidence`: high, medium, low\n- `status.bucket`: ok, rate_limit, usage_window, billing, auth, overloaded, unknown\n\n**Security Principles (from README):**\n- Refresh tokens/session cookies/sessionKeys NOT stored on server\n- Raw prompts/responses/transcripts NOT uploaded\n- Server receives only normalized metadata\n\n### 3. DOCS DIRECTORY CONTENT\n\n**architecture.md:**\n- Hybrid architecture: local agent for auth-dependent providers, backend for stable API providers\n- Key components: local agent, backend API, web dashboard\n- Event normalization layer\n\n**provider-notes.md:**\n- Codex: `https://chatgpt.com/backend-api/wham/usage`, OAuth bearer token, verified working\n- Claude: OAuth and web fallback endpoints documented, awaiting auth implementation\n\n### 4. PACKAGE.JSON & PROJECT CONFIG\n\n**Root package.json:**\n```json\n{\n \"name\": \"ai-usage-dashboard\",\n \"workspaces\": [\"apps/*\", \"packages/*\"],\n \"scripts\": {\n \"agent:status\": \"node ./packages/agent/bin/ai-usage-agent.js status\",\n \"agent:usage\": \"node ./packages/agent/bin/ai-usage-agent.js usage\",\n \"agent:doctor\": \"node ./packages/agent/bin/ai-usage-agent.js doctor\",\n \"agent:config:init\": \"node ./packages/agent/bin/ai-usage-agent.js config init\"\n }\n}\n```\n\n**packages/agent/package.json:**\n- Entry: `bin/ai-usage-agent.js`\n- Type: ES modules\n- Scripts: dev, status, doctor\n\n### 5. PROJECT CONVENTIONS (CLAUDE.md equivalent)\n\n**No CLAUDE.md found, but CONTRIBUTING.md defines:**\n- **Branch strategy:** `main` (stable), `dev` (integration), feature branches from dev\n- **Commit format:** `type(scope): 한글설명` (Korean descriptions, English types)\n- **Types:** feat, fix, refactor, docs, chore, ci, test, perf\n- **PR format:** `[type] 한글요약` with required sections\n- **Language:** Commit types English, descriptions/PR bodies Korean\n- **Scope examples:** web, api, schemas, adapters, codex, claude, repo, docs\n\n### 6. OPENCLAW & AUTH-PROFILE REFERENCES\n\n**\"openclaw\" references:**\n- `/home/lagoon3/.openclaw/agents/main/agent/auth-profiles.json` - Auth storage path\n- `User-Agent: openclaw` header in POC scripts\n- Directory structure: `.openclaw/agents/main/agent/`\n\n**\"auth-profile\" references:**\n- `read-codex-auth-profiles.js` - Reads and filters auth profiles\n- `auth-profiles.json` - The actual auth storage file\n- Agent config path: `~/.config/ai-usage-agent/config.json`\n\n### 7. CURRENT CLI INTERFACE\n\n**Entry point:** `/packages/agent/bin/ai-usage-agent.js`\n\n**Available commands:**\n- `status` / `usage` - Show current auth profiles, usage snapshots, and status\n - Reads Codex OAuth profiles from `.openclaw/agents/main/agent/auth-profiles.json`\n - Calls usage endpoint and returns normalized snapshot\n - Output format: Profile ID + email, status, source/authType/confidence, usage windows, errors\n- `doctor` - Diagnostic mode (WIP)\n - Shows expected config path\n - Placeholder for auth/config/endpoint diagnostics\n- `config init` - Generate base config at `~/.config/ai-usage-agent/config.json`\n - Default config includes: output format (table), timezone (Asia/Seoul), sync settings, provider toggles\n- `inspect ` - **Planned**\n- `sync` - **Planned**\n\n**Config file location:** `~/.config/ai-usage-agent/config.json`\n\n### 8. KEY IMPLEMENTATION DETAILS\n\n**Schemas package:**\n- Two main schemas: `usage-snapshot.schema.json` and `usage-event.schema.json`\n- Example payloads in `examples/` directory\n- Status buckets for health visualization\n- Raw provider data preserved alongside normalized fields\n\n**Provider adapters structure:**\n- Currently only Codex implemented\n- Pattern: auth reader → endpoint caller → snapshot normalizer\n- Claude adapter scaffolded but not yet connected\n\n**Data flow:**\n1. Read auth profiles from `.openclaw/agents/main/agent/auth-profiles.json`\n2. Call provider usage endpoints\n3. Parse and normalize responses to common snapshot schema\n4. Display or buffer for upload\n\nAll code is written in ES modules (JavaScript), all documentation in Korean." } ] }, "toolu_015dMLJ5XdrLoeeDWi885fvg": { "tool_use_id": "toolu_015dMLJ5XdrLoeeDWi885fvg", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard", "is_error": false, "content": { "Text": "total 48\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 12 19:47 .\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 12 19:37 docs\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 12:17 .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 3553 4월 13 12:06 README.md\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 12 19:37 scripts" }, "output": "total 48\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 12 19:47 .\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 12 19:37 docs\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 13 12:17 .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 3553 4월 13 12:06 README.md\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 12 19:37 scripts" }, "toolu_011TAm1SzLPF8Qcpg1fst7yR": { "tool_use_id": "toolu_011TAm1SzLPF8Qcpg1fst7yR", "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_01XEDnrr4CZVZcv9pDqwer8t": { "tool_use_id": "toolu_01XEDnrr4CZVZcv9pDqwer8t", "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 provider-notes.md\n65\tscripts/\n66\t poc/\n67\t```\n68\t\n69\t## 초기 범위(MVP)\n70\t\n71\t- npm 설치형 로컬 에이전트 CLI 골격\n72\t- Codex adapter\n73\t- Claude adapter\n74\t- usage snapshot 수집\n75\t- 이벤트 정규화\n76\t- overview / timeline UI\n77\t- provider별 상태 버킷화\n78\t\n79\t## 상태 버킷 예시\n80\t\n81\t- `ok`\n82\t- `rate_limit`\n83\t- `usage_window`\n84\t- `billing`\n85\t- `auth`\n86\t- `overloaded`\n87\t- `unknown`\n88\t\n89\t## 작업 / 협업 규칙\n90\t\n91\t자세한 규칙은 `CONTRIBUTING.md`를 따른다. 요약은 아래와 같다.\n92\t\n93\t- 브랜치 흐름: `작업 브랜치 -> dev -> main`\n94\t- 커밋 형식: `type(scope): 한글 설명`\n95\t- PR 제목 형식: `[feat] 한글 요약`\n96\t- PR 본문은 기본적으로 한글로 작성\n97\t- 큰 변경은 문서와 예시 payload를 함께 갱신\n98\t\n99\t### 커밋 예시\n100\t\n101\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n102\t- `fix(web): overview 카드 reset 시각 포맷 오류 수정`\n103\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n104\t\n105\t## 보안 원칙\n106\t\n107\t- refresh token / session cookie / sessionKey는 서버에 저장하지 않음\n108\t- raw prompt / raw response / 전체 transcript 업로드 금지\n109\t- 서버에는 정규화된 메타데이터만 업로드\n110\t\n111\t## 에이전트 실행 예시\n112\t\n113\t프로젝트 루트에서 바로 실행 가능:\n114\t\n115\t```bash\n116\tnpm run agent:status\n117\tnpm run agent:usage\n118\tnpm run agent:doctor\n119\tnpm run agent:config:init\n120\t```\n121\t\n122\t## 공통 스키마 초안\n123\t\n124\t`packages/schemas`에 초기 JSON Schema 초안을 추가했다.\n125\t\n126\t- `usage-snapshot.schema.json`\n127\t- `usage-event.schema.json`\n128\t- `examples/codex-usage-snapshot.example.json`\n129\t- `examples/codex-auth-error.event.example.json`\n130\t\n131\t핵심 필드:\n132\t- `source`\n133\t- `authType`\n134\t- `confidence`\n135\t- `usageWindows`\n136\t- `status.bucket` / `reason.bucket`\n137\t\n138\t## 다음 작업\n139\t\n140\t1. 모노레포 스캐폴드 정리\n141\t2. 공통 schema를 Codex adapter 출력에 실제 적용\n142\t3. Claude 인증 경로별 테스트 추가\n143\t4. 대시보드 MVP 화면 구성\n144\t\n145\t## 라이선스\n146\t\n147\t추후 결정\n148\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 provider-notes.md\n65\tscripts/\n66\t poc/\n67\t```\n68\t\n69\t## 초기 범위(MVP)\n70\t\n71\t- npm 설치형 로컬 에이전트 CLI 골격\n72\t- Codex adapter\n73\t- Claude adapter\n74\t- usage snapshot 수집\n75\t- 이벤트 정규화\n76\t- overview / timeline UI\n77\t- provider별 상태 버킷화\n78\t\n79\t## 상태 버킷 예시\n80\t\n81\t- `ok`\n82\t- `rate_limit`\n83\t- `usage_window`\n84\t- `billing`\n85\t- `auth`\n86\t- `overloaded`\n87\t- `unknown`\n88\t\n89\t## 작업 / 협업 규칙\n90\t\n91\t자세한 규칙은 `CONTRIBUTING.md`를 따른다. 요약은 아래와 같다.\n92\t\n93\t- 브랜치 흐름: `작업 브랜치 -> dev -> main`\n94\t- 커밋 형식: `type(scope): 한글 설명`\n95\t- PR 제목 형식: `[feat] 한글 요약`\n96\t- PR 본문은 기본적으로 한글로 작성\n97\t- 큰 변경은 문서와 예시 payload를 함께 갱신\n98\t\n99\t### 커밋 예시\n100\t\n101\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n102\t- `fix(web): overview 카드 reset 시각 포맷 오류 수정`\n103\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n104\t\n105\t## 보안 원칙\n106\t\n107\t- refresh token / session cookie / sessionKey는 서버에 저장하지 않음\n108\t- raw prompt / raw response / 전체 transcript 업로드 금지\n109\t- 서버에는 정규화된 메타데이터만 업로드\n110\t\n111\t## 에이전트 실행 예시\n112\t\n113\t프로젝트 루트에서 바로 실행 가능:\n114\t\n115\t```bash\n116\tnpm run agent:status\n117\tnpm run agent:usage\n118\tnpm run agent:doctor\n119\tnpm run agent:config:init\n120\t```\n121\t\n122\t## 공통 스키마 초안\n123\t\n124\t`packages/schemas`에 초기 JSON Schema 초안을 추가했다.\n125\t\n126\t- `usage-snapshot.schema.json`\n127\t- `usage-event.schema.json`\n128\t- `examples/codex-usage-snapshot.example.json`\n129\t- `examples/codex-auth-error.event.example.json`\n130\t\n131\t핵심 필드:\n132\t- `source`\n133\t- `authType`\n134\t- `confidence`\n135\t- `usageWindows`\n136\t- `status.bucket` / `reason.bucket`\n137\t\n138\t## 다음 작업\n139\t\n140\t1. 모노레포 스캐폴드 정리\n141\t2. 공통 schema를 Codex adapter 출력에 실제 적용\n142\t3. Claude 인증 경로별 테스트 추가\n143\t4. 대시보드 MVP 화면 구성\n144\t\n145\t## 라이선스\n146\t\n147\t추후 결정\n148\t" }, "toolu_01ACHuRsbGrpsS1qLqM9Ed3T": { "tool_use_id": "toolu_01ACHuRsbGrpsS1qLqM9Ed3T", "tool_name": "Read CONTRIBUTING.md", "is_error": false, "content": { "Text": "1\t# 기여 / 작업 규칙\n2\t\n3\t이 저장소는 `Portfolio-Project`에서 사용 중인 커밋/PR 흐름을 참고해 운영한다.\n4\t\n5\t## 1. 브랜치 전략\n6\t\n7\t기본 브랜치는 다음처럼 사용한다.\n8\t\n9\t- `main`: 배포 가능하거나 기준이 되는 안정 브랜치\n10\t- `dev`: 다음 작업들을 모아두는 통합 브랜치\n11\t- 작업 브랜치: 기능/수정 단위 브랜치\n12\t\n13\t권장 흐름:\n14\t\n15\t1. `dev`에서 작업 브랜치를 만든다.\n16\t2. 작업이 끝나면 `dev`로 PR을 연다.\n17\t3. 검증이 끝난 뒤 `dev -> main`으로 올린다.\n18\t\n19\t브랜치 이름 예시:\n20\t\n21\t- `feat/codex-adapter`\n22\t- `feat/dashboard-overview`\n23\t- `fix/schema-normalizer`\n24\t- `chore/repo-scaffold`\n25\t- `docs/provider-notes-ko`\n26\t\n27\t## 2. 커밋 메시지 규칙\n28\t\n29\t기본 형식:\n30\t\n31\t```text\n32\t(): <한글 설명>\n33\t```\n34\t\n35\tscope가 애매하면 생략 가능:\n36\t\n37\t```text\n38\t: <한글 설명>\n39\t```\n40\t\n41\t### type 목록\n42\t\n43\t- `feat`: 기능 추가\n44\t- `fix`: 버그 수정\n45\t- `refactor`: 동작 변화 없는 구조 개선\n46\t- `docs`: 문서 수정\n47\t- `chore`: 설정, 스캐폴드, 기타 유지보수\n48\t- `ci`: CI/CD 변경\n49\t- `test`: 테스트 추가/수정\n50\t- `perf`: 성능 개선\n51\t\n52\t### scope 예시\n53\t\n54\t- `web`\n55\t- `api`\n56\t- `schemas`\n57\t- `adapters`\n58\t- `codex`\n59\t- `claude`\n60\t- `repo`\n61\t- `docs`\n62\t\n63\t### 좋은 예시\n64\t\n65\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n66\t- `fix(web): overview 카드에서 reset 시각 포맷 오류 수정`\n67\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n68\t- `ci(api): schema 검사 잡 추가`\n69\t\n70\t### 피할 것\n71\t\n72\t- `update`\n73\t- `fix bug`\n74\t- `작업중`\n75\t- `커밋`\n76\t- 의미 없는 여러 변경을 한 커밋에 몰아넣기\n77\t\n78\t## 3. Pull Request 규칙\n79\t\n80\t### PR 제목\n81\t\n82\t기본 형식:\n83\t\n84\t```text\n85\t[type] 한글 요약\n86\t```\n87\t\n88\t예시:\n89\t\n90\t- `[feat] Codex usage adapter 초안 추가`\n91\t- `[fix] dashboard timeline 정렬 오류 수정`\n92\t- `[docs] schema 예시 payload 문서화`\n93\t\n94\t### PR 본문\n95\t\n96\t설명은 기본적으로 한글로 작성한다.\n97\t외부 라이브러리명, API명, 경로, 코드 식별자는 원문 그대로 적어도 된다.\n98\t\n99\tPR 본문에는 최소한 아래 내용을 포함한다.\n100\t\n101\t1. 요약\n102\t2. 변경 내용\n103\t3. 변경 이유\n104\t4. 영향 범위\n105\t5. 테스트 / 확인\n106\t6. 리뷰 포인트\n107\t7. 참고 사항\n108\t\n109\t### 영향 범위 체크 예시\n110\t\n111\t- [ ] `apps/web`\n112\t- [ ] `apps/api`\n113\t- [ ] `packages/schemas`\n114\t- [ ] `packages/provider-adapters`\n115\t- [ ] `repo`\n116\t- [ ] `docs`\n117\t\n118\t## 4. 작업 단위 규칙\n119\t\n120\t- 하나의 PR은 가능한 한 하나의 주제만 다룬다.\n121\t- 스캐폴드/문서/기능/리팩터링을 한 PR에 과하게 섞지 않는다.\n122\t- 기능 PR이면 가능한 한 mock 또는 sample payload 기준으로라도 확인 결과를 남긴다.\n123\t- provider endpoint 검증 코드는 `scripts/poc/`에서 시작하고, 안정화되면 package 내부로 옮긴다.\n124\t\n125\t## 5. 병합 전 확인\n126\t\n127\t최소 확인 항목:\n128\t\n129\t- 관련 문서가 필요하면 같이 수정했는가\n130\t- schema 변경이면 sample payload도 같이 반영했는가\n131\t- UI 변경이면 스크린샷 또는 설명이 있는가\n132\t- endpoint/auth 관련 변경이면 인증/보안 영향이 정리됐는가\n133\t\n134\t## 6. 이 저장소의 기본 원칙\n135\t\n136\t- 커밋 타입은 영어로 유지\n137\t- 설명은 한글 기준\n138\t- PR 본문도 한글 기준\n139\t- `dev`를 통합 브랜치로 우선 사용\n140\t- `main`은 비교적 안정적인 상태만 반영\n141\t" }, "output": "1\t# 기여 / 작업 규칙\n2\t\n3\t이 저장소는 `Portfolio-Project`에서 사용 중인 커밋/PR 흐름을 참고해 운영한다.\n4\t\n5\t## 1. 브랜치 전략\n6\t\n7\t기본 브랜치는 다음처럼 사용한다.\n8\t\n9\t- `main`: 배포 가능하거나 기준이 되는 안정 브랜치\n10\t- `dev`: 다음 작업들을 모아두는 통합 브랜치\n11\t- 작업 브랜치: 기능/수정 단위 브랜치\n12\t\n13\t권장 흐름:\n14\t\n15\t1. `dev`에서 작업 브랜치를 만든다.\n16\t2. 작업이 끝나면 `dev`로 PR을 연다.\n17\t3. 검증이 끝난 뒤 `dev -> main`으로 올린다.\n18\t\n19\t브랜치 이름 예시:\n20\t\n21\t- `feat/codex-adapter`\n22\t- `feat/dashboard-overview`\n23\t- `fix/schema-normalizer`\n24\t- `chore/repo-scaffold`\n25\t- `docs/provider-notes-ko`\n26\t\n27\t## 2. 커밋 메시지 규칙\n28\t\n29\t기본 형식:\n30\t\n31\t```text\n32\t(): <한글 설명>\n33\t```\n34\t\n35\tscope가 애매하면 생략 가능:\n36\t\n37\t```text\n38\t: <한글 설명>\n39\t```\n40\t\n41\t### type 목록\n42\t\n43\t- `feat`: 기능 추가\n44\t- `fix`: 버그 수정\n45\t- `refactor`: 동작 변화 없는 구조 개선\n46\t- `docs`: 문서 수정\n47\t- `chore`: 설정, 스캐폴드, 기타 유지보수\n48\t- `ci`: CI/CD 변경\n49\t- `test`: 테스트 추가/수정\n50\t- `perf`: 성능 개선\n51\t\n52\t### scope 예시\n53\t\n54\t- `web`\n55\t- `api`\n56\t- `schemas`\n57\t- `adapters`\n58\t- `codex`\n59\t- `claude`\n60\t- `repo`\n61\t- `docs`\n62\t\n63\t### 좋은 예시\n64\t\n65\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n66\t- `fix(web): overview 카드에서 reset 시각 포맷 오류 수정`\n67\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n68\t- `ci(api): schema 검사 잡 추가`\n69\t\n70\t### 피할 것\n71\t\n72\t- `update`\n73\t- `fix bug`\n74\t- `작업중`\n75\t- `커밋`\n76\t- 의미 없는 여러 변경을 한 커밋에 몰아넣기\n77\t\n78\t## 3. Pull Request 규칙\n79\t\n80\t### PR 제목\n81\t\n82\t기본 형식:\n83\t\n84\t```text\n85\t[type] 한글 요약\n86\t```\n87\t\n88\t예시:\n89\t\n90\t- `[feat] Codex usage adapter 초안 추가`\n91\t- `[fix] dashboard timeline 정렬 오류 수정`\n92\t- `[docs] schema 예시 payload 문서화`\n93\t\n94\t### PR 본문\n95\t\n96\t설명은 기본적으로 한글로 작성한다.\n97\t외부 라이브러리명, API명, 경로, 코드 식별자는 원문 그대로 적어도 된다.\n98\t\n99\tPR 본문에는 최소한 아래 내용을 포함한다.\n100\t\n101\t1. 요약\n102\t2. 변경 내용\n103\t3. 변경 이유\n104\t4. 영향 범위\n105\t5. 테스트 / 확인\n106\t6. 리뷰 포인트\n107\t7. 참고 사항\n108\t\n109\t### 영향 범위 체크 예시\n110\t\n111\t- [ ] `apps/web`\n112\t- [ ] `apps/api`\n113\t- [ ] `packages/schemas`\n114\t- [ ] `packages/provider-adapters`\n115\t- [ ] `repo`\n116\t- [ ] `docs`\n117\t\n118\t## 4. 작업 단위 규칙\n119\t\n120\t- 하나의 PR은 가능한 한 하나의 주제만 다룬다.\n121\t- 스캐폴드/문서/기능/리팩터링을 한 PR에 과하게 섞지 않는다.\n122\t- 기능 PR이면 가능한 한 mock 또는 sample payload 기준으로라도 확인 결과를 남긴다.\n123\t- provider endpoint 검증 코드는 `scripts/poc/`에서 시작하고, 안정화되면 package 내부로 옮긴다.\n124\t\n125\t## 5. 병합 전 확인\n126\t\n127\t최소 확인 항목:\n128\t\n129\t- 관련 문서가 필요하면 같이 수정했는가\n130\t- schema 변경이면 sample payload도 같이 반영했는가\n131\t- UI 변경이면 스크린샷 또는 설명이 있는가\n132\t- endpoint/auth 관련 변경이면 인증/보안 영향이 정리됐는가\n133\t\n134\t## 6. 이 저장소의 기본 원칙\n135\t\n136\t- 커밋 타입은 영어로 유지\n137\t- 설명은 한글 기준\n138\t- PR 본문도 한글 기준\n139\t- `dev`를 통합 브랜치로 우선 사용\n140\t- `main`은 비교적 안정적인 상태만 반영\n141\t" }, "toolu_01BS1Aa3E84sWimmCP1GGKCv": { "tool_use_id": "toolu_01BS1Aa3E84sWimmCP1GGKCv", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -maxdepth 2 -type d | head -20", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/branches\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/objects\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/hooks\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/refs\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/info\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/logs\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts/poc\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps/web\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps/api\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/shared\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/branches\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/objects\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/hooks\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/refs\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/info\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.git/logs\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts/poc\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps/web\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps/api\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/shared\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github" }, "toolu_01FCXMrJ9yYMWuYQKdgDXDbV": { "tool_use_id": "toolu_01FCXMrJ9yYMWuYQKdgDXDbV", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/", "is_error": false, "content": { "Text": "total 16\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 .\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 12 19:47 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 705 4월 12 19:41 architecture.md\n-rw-rw-r-- 1 lagoon3 lagoon3 600 4월 12 19:41 provider-notes.md" }, "output": "total 16\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 .\ndrwxrwxr-x 8 lagoon3 lagoon3 4096 4월 12 19:47 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 705 4월 12 19:41 architecture.md\n-rw-rw-r-- 1 lagoon3 lagoon3 600 4월 12 19:41 provider-notes.md" }, "toolu_01QtVJE3Y42WwZN1UocgMt4G": { "tool_use_id": "toolu_01QtVJE3Y42WwZN1UocgMt4G", "tool_name": "Read docs/architecture.md", "is_error": false, "content": { "Text": "1\t# 아키텍처\n2\t\n3\t## 요약\n4\t\n5\t이 프로젝트는 하이브리드 구조를 사용한다.\n6\t\n7\t- 로컬 인증 및 세션 재사용이 필요한 provider는 로컬 에이전트에서 처리\n8\t- 공식 usage endpoint가 안정적인 provider는 백엔드에서 직접 poll\n9\t- 최종 상태 표시는 공통 정규화 계층을 통해 통합\n10\t\n11\t## 주요 구성 요소\n12\t\n13\t### 로컬 에이전트\n14\t- provider별 인증 해석\n15\t- 로컬 usage endpoint 호출\n16\t- 이벤트 관측\n17\t- 버퍼링 및 업로드\n18\t\n19\t### 백엔드 API\n20\t- 정규화 이벤트 수집\n21\t- 가능한 provider 직접 poll\n22\t- 상태 집계\n23\t- 대시보드용 API 제공\n24\t\n25\t### 웹 대시보드\n26\t- 전체 overview\n27\t- provider / account 상세\n28\t- timeline\n29\t- health 표시\n30\t" }, "output": "1\t# 아키텍처\n2\t\n3\t## 요약\n4\t\n5\t이 프로젝트는 하이브리드 구조를 사용한다.\n6\t\n7\t- 로컬 인증 및 세션 재사용이 필요한 provider는 로컬 에이전트에서 처리\n8\t- 공식 usage endpoint가 안정적인 provider는 백엔드에서 직접 poll\n9\t- 최종 상태 표시는 공통 정규화 계층을 통해 통합\n10\t\n11\t## 주요 구성 요소\n12\t\n13\t### 로컬 에이전트\n14\t- provider별 인증 해석\n15\t- 로컬 usage endpoint 호출\n16\t- 이벤트 관측\n17\t- 버퍼링 및 업로드\n18\t\n19\t### 백엔드 API\n20\t- 정규화 이벤트 수집\n21\t- 가능한 provider 직접 poll\n22\t- 상태 집계\n23\t- 대시보드용 API 제공\n24\t\n25\t### 웹 대시보드\n26\t- 전체 overview\n27\t- provider / account 상세\n28\t- timeline\n29\t- health 표시\n30\t" }, "toolu_01YRkSG9TFoVi81yxrbByZxT": { "tool_use_id": "toolu_01YRkSG9TFoVi81yxrbByZxT", "tool_name": "Read docs/provider-notes.md", "is_error": false, "content": { "Text": "1\t# Provider 메모\n2\t\n3\t## OpenAI Codex\n4\t- Endpoint: `https://chatgpt.com/backend-api/wham/usage`\n5\t- 인증: OAuth bearer token\n6\t- 선택 헤더: `ChatGPT-Account-Id`\n7\t- 상태: 현재 로컬 환경에서 실작동 검증 완료\n8\t\n9\t## Anthropic / Claude\n10\t- OAuth endpoint: `https://api.anthropic.com/api/oauth/usage`\n11\t- Web fallback:\n12\t - `https://claude.ai/api/organizations`\n13\t - `https://claude.ai/api/organizations/{orgId}/usage`\n14\t- 인증: OAuth token 또는 claude.ai session key/cookie fallback\n15\t- 상태: endpoint 경로는 확인했지만, 현재 로컬 인증이 없어 실호출 검증은 아직 미완료\n16\t" }, "output": "1\t# Provider 메모\n2\t\n3\t## OpenAI Codex\n4\t- Endpoint: `https://chatgpt.com/backend-api/wham/usage`\n5\t- 인증: OAuth bearer token\n6\t- 선택 헤더: `ChatGPT-Account-Id`\n7\t- 상태: 현재 로컬 환경에서 실작동 검증 완료\n8\t\n9\t## Anthropic / Claude\n10\t- OAuth endpoint: `https://api.anthropic.com/api/oauth/usage`\n11\t- Web fallback:\n12\t - `https://claude.ai/api/organizations`\n13\t - `https://claude.ai/api/organizations/{orgId}/usage`\n14\t- 인증: OAuth token 또는 claude.ai session key/cookie fallback\n15\t- 상태: endpoint 경로는 확인했지만, 현재 로컬 인증이 없어 실호출 검증은 아직 미완료\n16\t" }, "toolu_01FVocMhTGfKBP8ojgG6kAz9": { "tool_use_id": "toolu_01FVocMhTGfKBP8ojgG6kAz9", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard -name \"CLAUDE.md\" -o -name \"claude.md\"", "is_error": false, "content": { "Text": "(Bash completed with no output)" }, "output": "(Bash completed with no output)" }, "toolu_01Q481fnTZHeeHw6v3nyio6N": { "tool_use_id": "toolu_01Q481fnTZHeeHw6v3nyio6N", "tool_name": "grep -l \"auth|credential|token|login|oauth\" /home/lagoon3/.openclaw/workspace/ai-usage-dashboard", "is_error": false, "content": { "Text": "Found 20 files\npackages/agent/README.md\npackages/provider-adapters/README.md\npackages/README.md\npackages/schemas/README.md\npackages/agent/src/cli/status-command.js\npackages/agent/src/services/status-service.js\npackages/provider-adapters/src/codex/fetch-codex-usage.js\nREADME.md\npackages/schemas/examples/codex-auth-error.event.example.json\npackages/schemas/examples/codex-usage-snapshot.example.json\npackages/schemas/usage-event.schema.json\npackages/schemas/usage-snapshot.schema.json\npackages/provider-adapters/src/codex/index.js\npackages/provider-adapters/src/codex/read-codex-auth-profiles.js\npackages/agent/src/cli/doctor-command.js\n.github/pull_request_template.md\nCONTRIBUTING.md\ndocs/provider-notes.md\nscripts/poc/claude-usage-check.js\nscripts/poc/codex-usage-check.js" }, "output": "Found 20 files\npackages/agent/README.md\npackages/provider-adapters/README.md\npackages/README.md\npackages/schemas/README.md\npackages/agent/src/cli/status-command.js\npackages/agent/src/services/status-service.js\npackages/provider-adapters/src/codex/fetch-codex-usage.js\nREADME.md\npackages/schemas/examples/codex-auth-error.event.example.json\npackages/schemas/examples/codex-usage-snapshot.example.json\npackages/schemas/usage-event.schema.json\npackages/schemas/usage-snapshot.schema.json\npackages/provider-adapters/src/codex/index.js\npackages/provider-adapters/src/codex/read-codex-auth-profiles.js\npackages/agent/src/cli/doctor-command.js\n.github/pull_request_template.md\nCONTRIBUTING.md\ndocs/provider-notes.md\nscripts/poc/claude-usage-check.js\nscripts/poc/codex-usage-check.js" }, "toolu_01KCqj3bB4DVW5SerEj4rYjo": { "tool_use_id": "toolu_01KCqj3bB4DVW5SerEj4rYjo", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages -type f -name \"*.json\" | head -20", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/usage-event.schema.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/examples/codex-auth-error.event.example.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/examples/codex-usage-snapshot.example.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/usage-snapshot.schema.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/package.json" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/usage-event.schema.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/examples/codex-auth-error.event.example.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/examples/codex-usage-snapshot.example.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/package.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/usage-snapshot.schema.json\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/provider-adapters/package.json" }, "toolu_0169K81hbheYPnPYHAJ7szrV": { "tool_use_id": "toolu_0169K81hbheYPnPYHAJ7szrV", "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_01YaU8aVtn3wRvhthwJfRuUp": { "tool_use_id": "toolu_01YaU8aVtn3wRvhthwJfRuUp", "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_01G81VvCxsoUFtDnhTc66vY1": { "tool_use_id": "toolu_01G81VvCxsoUFtDnhTc66vY1", "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_01QaE6uqX2KAsL9HNzezsHnS": { "tool_use_id": "toolu_01QaE6uqX2KAsL9HNzezsHnS", "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_01FDUYUrH91iEJ6P2FwLNoBe": { "tool_use_id": "toolu_01FDUYUrH91iEJ6P2FwLNoBe", "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_01BZMDton8EY1HJ8naNdbqZN": { "tool_use_id": "toolu_01BZMDton8EY1HJ8naNdbqZN", "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 07:06 .\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 1778 4월 13 12:15 README.md\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:06 src" }, "output": "total 24\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 07:06 .\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 1778 4월 13 12:15 README.md\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:06 src" }, "toolu_016mfzYrvZWfjLW1NyJXVTum": { "tool_use_id": "toolu_016mfzYrvZWfjLW1NyJXVTum", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin -type f", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/bin/ai-usage-agent.js" }, "toolu_017LtdvjbJhJb5ExFmjK7yFd": { "tool_use_id": "toolu_017LtdvjbJhJb5ExFmjK7yFd", "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_01SY8Au9FGTR8BuNXUcwitc5": { "tool_use_id": "toolu_01SY8Au9FGTR8BuNXUcwitc5", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/", "is_error": false, "content": { "Text": "total 28\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:06 .\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 07:06 ..\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 124 4월 13 07:06 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 28\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:06 .\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 07:06 ..\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 124 4월 13 07:06 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_01N1dygcrRv4j1Kau3YjZEM7": { "tool_use_id": "toolu_01N1dygcrRv4j1Kau3YjZEM7", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src -type f -name \"*.js\" | head -20", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/default-config.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/config-path.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/index.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/doctor-command.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/config-init-command.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/status-command.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/run-cli.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/services/status-service.js" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/default-config.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/config/config-path.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/index.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/doctor-command.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/config-init-command.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/status-command.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/cli/run-cli.js\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/agent/src/services/status-service.js" }, "toolu_01EcisPM6N46iPHRfwSAXr5D": { "tool_use_id": "toolu_01EcisPM6N46iPHRfwSAXr5D", "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_01Knt142a321tWsDfhRp8hXq": { "tool_use_id": "toolu_01Knt142a321tWsDfhRp8hXq", "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_01QjREcZWeezUjTfHYa9Vzk1": { "tool_use_id": "toolu_01QjREcZWeezUjTfHYa9Vzk1", "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_01RZGPTGoXwg4WskPu6oCFUV": { "tool_use_id": "toolu_01RZGPTGoXwg4WskPu6oCFUV", "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_01Xd5DMwGpad8YFTJ9QdJB5s": { "tool_use_id": "toolu_01Xd5DMwGpad8YFTJ9QdJB5s", "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_01NTZGRbDtNWMuGDk4mMQb4V": { "tool_use_id": "toolu_01NTZGRbDtNWMuGDk4mMQb4V", "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_01QrCAd93XYTBK1wrwDjcffm": { "tool_use_id": "toolu_01QrCAd93XYTBK1wrwDjcffm", "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_011Gh8ERxxpQAfuXfAjLp5Lr": { "tool_use_id": "toolu_011Gh8ERxxpQAfuXfAjLp5Lr", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/packages/schemas/", "is_error": false, "content": { "Text": "total 32\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 12:06 .\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 12:06 examples\n-rw-rw-r-- 1 lagoon3 lagoon3 129 4월 13 12:05 package.json\n-rw-rw-r-- 1 lagoon3 lagoon3 1310 4월 13 12:15 README.md\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 12:05 src\n-rw-rw-r-- 1 lagoon3 lagoon3 2062 4월 13 12:05 usage-event.schema.json\n-rw-rw-r-- 1 lagoon3 lagoon3 3177 4월 13 12:05 usage-snapshot.schema.json" }, "output": "total 32\ndrwxrwxr-x 4 lagoon3 lagoon3 4096 4월 13 12:06 .\ndrwxrwxr-x 6 lagoon3 lagoon3 4096 4월 13 07:07 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 12:06 examples\n-rw-rw-r-- 1 lagoon3 lagoon3 129 4월 13 12:05 package.json\n-rw-rw-r-- 1 lagoon3 lagoon3 1310 4월 13 12:15 README.md\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 13 12:05 src\n-rw-rw-r-- 1 lagoon3 lagoon3 2062 4월 13 12:05 usage-event.schema.json\n-rw-rw-r-- 1 lagoon3 lagoon3 3177 4월 13 12:05 usage-snapshot.schema.json" }, "toolu_01R2Mx591g5aA87mTDHexTM7": { "tool_use_id": "toolu_01R2Mx591g5aA87mTDHexTM7", "tool_name": "grep | head -50 \"openclaw|auth-profile\" /home/lagoon3/.openclaw/workspace/ai-usage-dashboard", "is_error": false, "content": { "Text": "packages/provider-adapters/src/codex/read-codex-auth-profiles.js:7: '.openclaw',\npackages/provider-adapters/src/codex/read-codex-auth-profiles.js:11: 'auth-profiles.json'\npackages/provider-adapters/src/codex/index.js:1:export * from './read-codex-auth-profiles.js';\npackages/provider-adapters/README.md:21: read-codex-auth-profiles.js\npackages/provider-adapters/README.md:33:~/.openclaw/agents/main/agent/auth-profiles.json\nscripts/poc/claude-usage-check.js:5: 'User-Agent': 'openclaw',\nscripts/poc/codex-usage-check.js:4: const path = process.env.HOME + '/.openclaw/agents/main/agent/auth-profiles.json';" }, "output": "packages/provider-adapters/src/codex/read-codex-auth-profiles.js:7: '.openclaw',\npackages/provider-adapters/src/codex/read-codex-auth-profiles.js:11: 'auth-profiles.json'\npackages/provider-adapters/src/codex/index.js:1:export * from './read-codex-auth-profiles.js';\npackages/provider-adapters/README.md:21: read-codex-auth-profiles.js\npackages/provider-adapters/README.md:33:~/.openclaw/agents/main/agent/auth-profiles.json\nscripts/poc/claude-usage-check.js:5: 'User-Agent': 'openclaw',\nscripts/poc/codex-usage-check.js:4: const path = process.env.HOME + '/.openclaw/agents/main/agent/auth-profiles.json';" }, "toolu_013mhmCjuTgxDBTR1F8YTNCE": { "tool_use_id": "toolu_013mhmCjuTgxDBTR1F8YTNCE", "tool_name": "Read packages/schemas/usage-snapshot.schema.json", "is_error": false, "content": { "Text": "1\t{\n2\t \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n3\t \"$id\": \"https://llagoon3.dev/schemas/usage-snapshot.schema.json\",\n4\t \"title\": \"UsageSnapshot\",\n5\t \"type\": \"object\",\n6\t \"additionalProperties\": false,\n7\t \"required\": [\n8\t \"schemaVersion\",\n9\t \"snapshotId\",\n10\t \"capturedAt\",\n11\t \"provider\",\n12\t \"account\",\n13\t \"source\",\n14\t \"authType\",\n15\t \"confidence\",\n16\t \"status\",\n17\t \"usageWindows\"\n18\t ],\n19\t \"properties\": {\n20\t \"schemaVersion\": { \"type\": \"string\" },\n21\t \"snapshotId\": { \"type\": \"string\" },\n22\t \"capturedAt\": { \"type\": \"string\", \"format\": \"date-time\" },\n23\t \"provider\": {\n24\t \"type\": \"object\",\n25\t \"additionalProperties\": false,\n26\t \"required\": [\"id\"],\n27\t \"properties\": {\n28\t \"id\": { \"type\": \"string\" },\n29\t \"displayName\": { \"type\": [\"string\", \"null\"] },\n30\t \"region\": { \"type\": [\"string\", \"null\"] }\n31\t }\n32\t },\n33\t \"account\": {\n34\t \"type\": \"object\",\n35\t \"additionalProperties\": false,\n36\t \"required\": [\"profileId\"],\n37\t \"properties\": {\n38\t \"profileId\": { \"type\": \"string\" },\n39\t \"accountId\": { \"type\": [\"string\", \"null\"] },\n40\t \"email\": { \"type\": [\"string\", \"null\"] },\n41\t \"plan\": { \"type\": [\"string\", \"null\"] }\n42\t }\n43\t },\n44\t \"source\": {\n45\t \"type\": \"string\",\n46\t \"enum\": [\"provider_usage_endpoint\", \"local_observed_event\", \"inferred\"]\n47\t },\n48\t \"authType\": {\n49\t \"type\": \"string\",\n50\t \"enum\": [\"oauth\", \"session_cookie\", \"session_key\", \"api_key\", \"unknown\"]\n51\t },\n52\t \"confidence\": {\n53\t \"type\": \"string\",\n54\t \"enum\": [\"high\", \"medium\", \"low\"]\n55\t },\n56\t \"status\": {\n57\t \"type\": \"object\",\n58\t \"additionalProperties\": false,\n59\t \"required\": [\"bucket\", \"ok\"],\n60\t \"properties\": {\n61\t \"bucket\": {\n62\t \"type\": \"string\",\n63\t \"enum\": [\"ok\", \"rate_limit\", \"usage_window\", \"billing\", \"auth\", \"overloaded\", \"unknown\"]\n64\t },\n65\t \"ok\": { \"type\": \"boolean\" },\n66\t \"httpStatus\": { \"type\": [\"integer\", \"null\"] },\n67\t \"message\": { \"type\": [\"string\", \"null\"] },\n68\t \"lastSuccessAt\": { \"type\": [\"string\", \"null\"], \"format\": \"date-time\" },\n69\t \"lastFailureAt\": { \"type\": [\"string\", \"null\"], \"format\": \"date-time\" }\n70\t }\n71\t },\n72\t \"usageWindows\": {\n73\t \"type\": \"array\",\n74\t \"items\": {\n75\t \"type\": \"object\",\n76\t \"additionalProperties\": false,\n77\t \"required\": [\"kind\"],\n78\t \"properties\": {\n79\t \"kind\": { \"type\": \"string\" },\n80\t \"label\": { \"type\": [\"string\", \"null\"] },\n81\t \"usedPercent\": { \"type\": [\"number\", \"integer\", \"null\"] },\n82\t \"usedAmount\": { \"type\": [\"number\", \"integer\", \"null\"] },\n83\t \"limitAmount\": { \"type\": [\"number\", \"integer\", \"null\"] },\n84\t \"remainingAmount\": { \"type\": [\"number\", \"integer\", \"null\"] },\n85\t \"windowSeconds\": { \"type\": [\"integer\", \"null\"] },\n86\t \"resetAt\": { \"type\": [\"string\", \"null\"], \"format\": \"date-time\" }\n87\t }\n88\t }\n89\t },\n90\t \"credits\": {\n91\t \"type\": [\"object\", \"null\"],\n92\t \"additionalProperties\": false,\n93\t \"properties\": {\n94\t \"balance\": { \"type\": [\"number\", \"integer\", \"null\"] },\n95\t \"unit\": { \"type\": [\"string\", \"null\"] }\n96\t }\n97\t },\n98\t \"raw\": {\n99\t \"type\": [\"object\", \"null\"],\n100\t \"additionalProperties\": true\n101\t }\n102\t }\n103\t}\n104\t" }, "output": "1\t{\n2\t \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n3\t \"$id\": \"https://llagoon3.dev/schemas/usage-snapshot.schema.json\",\n4\t \"title\": \"UsageSnapshot\",\n5\t \"type\": \"object\",\n6\t \"additionalProperties\": false,\n7\t \"required\": [\n8\t \"schemaVersion\",\n9\t \"snapshotId\",\n10\t \"capturedAt\",\n11\t \"provider\",\n12\t \"account\",\n13\t \"source\",\n14\t \"authType\",\n15\t \"confidence\",\n16\t \"status\",\n17\t \"usageWindows\"\n18\t ],\n19\t \"properties\": {\n20\t \"schemaVersion\": { \"type\": \"string\" },\n21\t \"snapshotId\": { \"type\": \"string\" },\n22\t \"capturedAt\": { \"type\": \"string\", \"format\": \"date-time\" },\n23\t \"provider\": {\n24\t \"type\": \"object\",\n25\t \"additionalProperties\": false,\n26\t \"required\": [\"id\"],\n27\t \"properties\": {\n28\t \"id\": { \"type\": \"string\" },\n29\t \"displayName\": { \"type\": [\"string\", \"null\"] },\n30\t \"region\": { \"type\": [\"string\", \"null\"] }\n31\t }\n32\t },\n33\t \"account\": {\n34\t \"type\": \"object\",\n35\t \"additionalProperties\": false,\n36\t \"required\": [\"profileId\"],\n37\t \"properties\": {\n38\t \"profileId\": { \"type\": \"string\" },\n39\t \"accountId\": { \"type\": [\"string\", \"null\"] },\n40\t \"email\": { \"type\": [\"string\", \"null\"] },\n41\t \"plan\": { \"type\": [\"string\", \"null\"] }\n42\t }\n43\t },\n44\t \"source\": {\n45\t \"type\": \"string\",\n46\t \"enum\": [\"provider_usage_endpoint\", \"local_observed_event\", \"inferred\"]\n47\t },\n48\t \"authType\": {\n49\t \"type\": \"string\",\n50\t \"enum\": [\"oauth\", \"session_cookie\", \"session_key\", \"api_key\", \"unknown\"]\n51\t },\n52\t \"confidence\": {\n53\t \"type\": \"string\",\n54\t \"enum\": [\"high\", \"medium\", \"low\"]\n55\t },\n56\t \"status\": {\n57\t \"type\": \"object\",\n58\t \"additionalProperties\": false,\n59\t \"required\": [\"bucket\", \"ok\"],\n60\t \"properties\": {\n61\t \"bucket\": {\n62\t \"type\": \"string\",\n63\t \"enum\": [\"ok\", \"rate_limit\", \"usage_window\", \"billing\", \"auth\", \"overloaded\", \"unknown\"]\n64\t },\n65\t \"ok\": { \"type\": \"boolean\" },\n66\t \"httpStatus\": { \"type\": [\"integer\", \"null\"] },\n67\t \"message\": { \"type\": [\"string\", \"null\"] },\n68\t \"lastSuccessAt\": { \"type\": [\"string\", \"null\"], \"format\": \"date-time\" },\n69\t \"lastFailureAt\": { \"type\": [\"string\", \"null\"], \"format\": \"date-time\" }\n70\t }\n71\t },\n72\t \"usageWindows\": {\n73\t \"type\": \"array\",\n74\t \"items\": {\n75\t \"type\": \"object\",\n76\t \"additionalProperties\": false,\n77\t \"required\": [\"kind\"],\n78\t \"properties\": {\n79\t \"kind\": { \"type\": \"string\" },\n80\t \"label\": { \"type\": [\"string\", \"null\"] },\n81\t \"usedPercent\": { \"type\": [\"number\", \"integer\", \"null\"] },\n82\t \"usedAmount\": { \"type\": [\"number\", \"integer\", \"null\"] },\n83\t \"limitAmount\": { \"type\": [\"number\", \"integer\", \"null\"] },\n84\t \"remainingAmount\": { \"type\": [\"number\", \"integer\", \"null\"] },\n85\t \"windowSeconds\": { \"type\": [\"integer\", \"null\"] },\n86\t \"resetAt\": { \"type\": [\"string\", \"null\"], \"format\": \"date-time\" }\n87\t }\n88\t }\n89\t },\n90\t \"credits\": {\n91\t \"type\": [\"object\", \"null\"],\n92\t \"additionalProperties\": false,\n93\t \"properties\": {\n94\t \"balance\": { \"type\": [\"number\", \"integer\", \"null\"] },\n95\t \"unit\": { \"type\": [\"string\", \"null\"] }\n96\t }\n97\t },\n98\t \"raw\": {\n99\t \"type\": [\"object\", \"null\"],\n100\t \"additionalProperties\": true\n101\t }\n102\t }\n103\t}\n104\t" }, "toolu_01PnkSeg1o4FFT734pRn6VGt": { "tool_use_id": "toolu_01PnkSeg1o4FFT734pRn6VGt", "tool_name": "Read packages/schemas/usage-event.schema.json", "is_error": false, "content": { "Text": "1\t{\n2\t \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n3\t \"$id\": \"https://llagoon3.dev/schemas/usage-event.schema.json\",\n4\t \"title\": \"UsageEvent\",\n5\t \"type\": \"object\",\n6\t \"additionalProperties\": false,\n7\t \"required\": [\n8\t \"schemaVersion\",\n9\t \"eventId\",\n10\t \"occurredAt\",\n11\t \"provider\",\n12\t \"account\",\n13\t \"source\",\n14\t \"authType\",\n15\t \"confidence\",\n16\t \"reason\",\n17\t \"severity\"\n18\t ],\n19\t \"properties\": {\n20\t \"schemaVersion\": { \"type\": \"string\" },\n21\t \"eventId\": { \"type\": \"string\" },\n22\t \"occurredAt\": { \"type\": \"string\", \"format\": \"date-time\" },\n23\t \"provider\": {\n24\t \"type\": \"object\",\n25\t \"additionalProperties\": false,\n26\t \"required\": [\"id\"],\n27\t \"properties\": {\n28\t \"id\": { \"type\": \"string\" },\n29\t \"displayName\": { \"type\": [\"string\", \"null\"] }\n30\t }\n31\t },\n32\t \"account\": {\n33\t \"type\": \"object\",\n34\t \"additionalProperties\": false,\n35\t \"required\": [\"profileId\"],\n36\t \"properties\": {\n37\t \"profileId\": { \"type\": \"string\" },\n38\t \"accountId\": { \"type\": [\"string\", \"null\"] },\n39\t \"email\": { \"type\": [\"string\", \"null\"] }\n40\t }\n41\t },\n42\t \"source\": {\n43\t \"type\": \"string\",\n44\t \"enum\": [\"provider_usage_endpoint\", \"local_observed_event\", \"inferred\"]\n45\t },\n46\t \"authType\": {\n47\t \"type\": \"string\",\n48\t \"enum\": [\"oauth\", \"session_cookie\", \"session_key\", \"api_key\", \"unknown\"]\n49\t },\n50\t \"confidence\": {\n51\t \"type\": \"string\",\n52\t \"enum\": [\"high\", \"medium\", \"low\"]\n53\t },\n54\t \"reason\": {\n55\t \"type\": \"object\",\n56\t \"additionalProperties\": false,\n57\t \"required\": [\"bucket\", \"code\"],\n58\t \"properties\": {\n59\t \"bucket\": {\n60\t \"type\": \"string\",\n61\t \"enum\": [\"rate_limit\", \"usage_window\", \"billing\", \"auth\", \"overloaded\", \"network\", \"unknown\"]\n62\t },\n63\t \"code\": { \"type\": \"string\" },\n64\t \"message\": { \"type\": [\"string\", \"null\"] },\n65\t \"httpStatus\": { \"type\": [\"integer\", \"null\"] }\n66\t }\n67\t },\n68\t \"severity\": {\n69\t \"type\": \"string\",\n70\t \"enum\": [\"info\", \"warning\", \"error\"]\n71\t },\n72\t \"raw\": {\n73\t \"type\": [\"object\", \"null\"],\n74\t \"additionalProperties\": true\n75\t }\n76\t }\n77\t}\n78\t" }, "output": "1\t{\n2\t \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n3\t \"$id\": \"https://llagoon3.dev/schemas/usage-event.schema.json\",\n4\t \"title\": \"UsageEvent\",\n5\t \"type\": \"object\",\n6\t \"additionalProperties\": false,\n7\t \"required\": [\n8\t \"schemaVersion\",\n9\t \"eventId\",\n10\t \"occurredAt\",\n11\t \"provider\",\n12\t \"account\",\n13\t \"source\",\n14\t \"authType\",\n15\t \"confidence\",\n16\t \"reason\",\n17\t \"severity\"\n18\t ],\n19\t \"properties\": {\n20\t \"schemaVersion\": { \"type\": \"string\" },\n21\t \"eventId\": { \"type\": \"string\" },\n22\t \"occurredAt\": { \"type\": \"string\", \"format\": \"date-time\" },\n23\t \"provider\": {\n24\t \"type\": \"object\",\n25\t \"additionalProperties\": false,\n26\t \"required\": [\"id\"],\n27\t \"properties\": {\n28\t \"id\": { \"type\": \"string\" },\n29\t \"displayName\": { \"type\": [\"string\", \"null\"] }\n30\t }\n31\t },\n32\t \"account\": {\n33\t \"type\": \"object\",\n34\t \"additionalProperties\": false,\n35\t \"required\": [\"profileId\"],\n36\t \"properties\": {\n37\t \"profileId\": { \"type\": \"string\" },\n38\t \"accountId\": { \"type\": [\"string\", \"null\"] },\n39\t \"email\": { \"type\": [\"string\", \"null\"] }\n40\t }\n41\t },\n42\t \"source\": {\n43\t \"type\": \"string\",\n44\t \"enum\": [\"provider_usage_endpoint\", \"local_observed_event\", \"inferred\"]\n45\t },\n46\t \"authType\": {\n47\t \"type\": \"string\",\n48\t \"enum\": [\"oauth\", \"session_cookie\", \"session_key\", \"api_key\", \"unknown\"]\n49\t },\n50\t \"confidence\": {\n51\t \"type\": \"string\",\n52\t \"enum\": [\"high\", \"medium\", \"low\"]\n53\t },\n54\t \"reason\": {\n55\t \"type\": \"object\",\n56\t \"additionalProperties\": false,\n57\t \"required\": [\"bucket\", \"code\"],\n58\t \"properties\": {\n59\t \"bucket\": {\n60\t \"type\": \"string\",\n61\t \"enum\": [\"rate_limit\", \"usage_window\", \"billing\", \"auth\", \"overloaded\", \"network\", \"unknown\"]\n62\t },\n63\t \"code\": { \"type\": \"string\" },\n64\t \"message\": { \"type\": [\"string\", \"null\"] },\n65\t \"httpStatus\": { \"type\": [\"integer\", \"null\"] }\n66\t }\n67\t },\n68\t \"severity\": {\n69\t \"type\": \"string\",\n70\t \"enum\": [\"info\", \"warning\", \"error\"]\n71\t },\n72\t \"raw\": {\n73\t \"type\": [\"object\", \"null\"],\n74\t \"additionalProperties\": true\n75\t }\n76\t }\n77\t}\n78\t" }, "toolu_015DkAHdRk6D885FeGRHVsaL": { "tool_use_id": "toolu_015DkAHdRk6D885FeGRHVsaL", "tool_name": "Read packages/provider-adapters/README.md", "is_error": false, "content": { "Text": "1\t# provider-adapters\n2\t\n3\tprovider별 인증 소스, usage endpoint, 응답 정규화 로직을 모아두는 패키지.\n4\t\n5\t## 현재 구현 상태\n6\t\n7\t현재는 Codex adapter가 구현되어 있다.\n8\t\n9\t구현된 것:\n10\t- OpenClaw auth profile 파일에서 Codex OAuth 프로필 읽기\n11\t- `https://chatgpt.com/backend-api/wham/usage` 호출\n12\t- 선택적 `ChatGPT-Account-Id` 헤더 지원\n13\t- 공통 `usage snapshot` 형태로 결과 정규화\n14\t- provider 원본 응답을 `raw` 필드에 보존\n15\t\n16\t## 현재 구조\n17\t\n18\t```text\n19\tsrc/\n20\t codex/\n21\t read-codex-auth-profiles.js\n22\t fetch-codex-usage.js\n23\t index.js\n24\t index.js\n25\t```\n26\t\n27\t## Codex adapter 요약\n28\t\n29\t### auth source\n30\t기본적으로 아래 경로를 읽는다:\n31\t\n32\t```text\n33\t~/.openclaw/agents/main/agent/auth-profiles.json\n34\t```\n35\t\n36\t여기서:\n37\t- `provider === \"openai-codex\"`\n38\t- `type === \"oauth\"`\n39\t\n40\t인 프로필만 추출한다.\n41\t\n42\t### endpoint\n43\t```text\n44\thttps://chatgpt.com/backend-api/wham/usage\n45\t```\n46\t\n47\t### normalized output\n48\t현재 출력은 `packages/schemas/usage-snapshot.schema.json` 방향을 따르는 snapshot 구조다.\n49\t\n50\t주요 필드:\n51\t- `provider`\n52\t- `account`\n53\t- `source`\n54\t- `authType`\n55\t- `confidence`\n56\t- `status`\n57\t- `usageWindows`\n58\t- `credits`\n59\t- `raw`\n60\t\n61\t## 다음 예정\n62\t\n63\t- Claude adapter 추가\n64\t- 공통 event 변환 추가\n65\t- auth/account edge case 정리\n66\t- schema validation 연결\n67\t" }, "output": "1\t# provider-adapters\n2\t\n3\tprovider별 인증 소스, usage endpoint, 응답 정규화 로직을 모아두는 패키지.\n4\t\n5\t## 현재 구현 상태\n6\t\n7\t현재는 Codex adapter가 구현되어 있다.\n8\t\n9\t구현된 것:\n10\t- OpenClaw auth profile 파일에서 Codex OAuth 프로필 읽기\n11\t- `https://chatgpt.com/backend-api/wham/usage` 호출\n12\t- 선택적 `ChatGPT-Account-Id` 헤더 지원\n13\t- 공통 `usage snapshot` 형태로 결과 정규화\n14\t- provider 원본 응답을 `raw` 필드에 보존\n15\t\n16\t## 현재 구조\n17\t\n18\t```text\n19\tsrc/\n20\t codex/\n21\t read-codex-auth-profiles.js\n22\t fetch-codex-usage.js\n23\t index.js\n24\t index.js\n25\t```\n26\t\n27\t## Codex adapter 요약\n28\t\n29\t### auth source\n30\t기본적으로 아래 경로를 읽는다:\n31\t\n32\t```text\n33\t~/.openclaw/agents/main/agent/auth-profiles.json\n34\t```\n35\t\n36\t여기서:\n37\t- `provider === \"openai-codex\"`\n38\t- `type === \"oauth\"`\n39\t\n40\t인 프로필만 추출한다.\n41\t\n42\t### endpoint\n43\t```text\n44\thttps://chatgpt.com/backend-api/wham/usage\n45\t```\n46\t\n47\t### normalized output\n48\t현재 출력은 `packages/schemas/usage-snapshot.schema.json` 방향을 따르는 snapshot 구조다.\n49\t\n50\t주요 필드:\n51\t- `provider`\n52\t- `account`\n53\t- `source`\n54\t- `authType`\n55\t- `confidence`\n56\t- `status`\n57\t- `usageWindows`\n58\t- `credits`\n59\t- `raw`\n60\t\n61\t## 다음 예정\n62\t\n63\t- Claude adapter 추가\n64\t- 공통 event 변환 추가\n65\t- auth/account edge case 정리\n66\t- schema validation 연결\n67\t" }, "toolu_01CmyPjZvYDEbemroyg7aj7Y": { "tool_use_id": "toolu_01CmyPjZvYDEbemroyg7aj7Y", "tool_name": "ls -la /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/scripts/poc/", "is_error": false, "content": { "Text": "total 20\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 .\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 12 19:37 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 979 4월 12 19:37 claude-usage-check.js\n-rw-rw-r-- 1 lagoon3 lagoon3 1087 4월 12 19:37 codex-usage-check.js\n-rw-rw-r-- 1 lagoon3 lagoon3 215 4월 12 19:41 README.md" }, "output": "total 20\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 .\ndrwxrwxr-x 3 lagoon3 lagoon3 4096 4월 12 19:37 ..\n-rw-rw-r-- 1 lagoon3 lagoon3 979 4월 12 19:37 claude-usage-check.js\n-rw-rw-r-- 1 lagoon3 lagoon3 1087 4월 12 19:37 codex-usage-check.js\n-rw-rw-r-- 1 lagoon3 lagoon3 215 4월 12 19:41 README.md" }, "toolu_01FFyMdkEvY5S8QtXJd513vH": { "tool_use_id": "toolu_01FFyMdkEvY5S8QtXJd513vH", "tool_name": "Read scripts/poc/codex-usage-check.js", "is_error": false, "content": { "Text": "1\tconst fs = require('fs');\n2\t\n3\tasync function main() {\n4\t const path = process.env.HOME + '/.openclaw/agents/main/agent/auth-profiles.json';\n5\t const raw = JSON.parse(fs.readFileSync(path, 'utf8'));\n6\t const profiles = Object.entries(raw.profiles || {}).filter(([, v]) => v.provider === 'openai-codex' && v.type === 'oauth');\n7\t\n8\t for (const [id, profile] of profiles) {\n9\t const headers = {\n10\t Authorization: `Bearer ${profile.access}`,\n11\t Accept: 'application/json',\n12\t 'User-Agent': 'CodexBar'\n13\t };\n14\t if (profile.accountId) headers['ChatGPT-Account-Id'] = profile.accountId;\n15\t\n16\t const res = await fetch('https://chatgpt.com/backend-api/wham/usage', { headers });\n17\t const body = await res.json();\n18\t console.log(JSON.stringify({\n19\t profileId: id,\n20\t status: res.status,\n21\t primary: body?.rate_limit?.primary_window ?? null,\n22\t secondary: body?.rate_limit?.secondary_window ?? null,\n23\t plan: body?.plan_type ?? null,\n24\t creditsBalance: body?.credits?.balance ?? null\n25\t }, null, 2));\n26\t }\n27\t}\n28\t\n29\tmain().catch(err => {\n30\t console.error(err);\n31\t process.exit(1);\n32\t});\n33\t" }, "output": "1\tconst fs = require('fs');\n2\t\n3\tasync function main() {\n4\t const path = process.env.HOME + '/.openclaw/agents/main/agent/auth-profiles.json';\n5\t const raw = JSON.parse(fs.readFileSync(path, 'utf8'));\n6\t const profiles = Object.entries(raw.profiles || {}).filter(([, v]) => v.provider === 'openai-codex' && v.type === 'oauth');\n7\t\n8\t for (const [id, profile] of profiles) {\n9\t const headers = {\n10\t Authorization: `Bearer ${profile.access}`,\n11\t Accept: 'application/json',\n12\t 'User-Agent': 'CodexBar'\n13\t };\n14\t if (profile.accountId) headers['ChatGPT-Account-Id'] = profile.accountId;\n15\t\n16\t const res = await fetch('https://chatgpt.com/backend-api/wham/usage', { headers });\n17\t const body = await res.json();\n18\t console.log(JSON.stringify({\n19\t profileId: id,\n20\t status: res.status,\n21\t primary: body?.rate_limit?.primary_window ?? null,\n22\t secondary: body?.rate_limit?.secondary_window ?? null,\n23\t plan: body?.plan_type ?? null,\n24\t creditsBalance: body?.credits?.balance ?? null\n25\t }, null, 2));\n26\t }\n27\t}\n28\t\n29\tmain().catch(err => {\n30\t console.error(err);\n31\t process.exit(1);\n32\t});\n33\t" }, "toolu_01H8L9MVME7idGEtBosM2caF": { "tool_use_id": "toolu_01H8L9MVME7idGEtBosM2caF", "tool_name": "Read scripts/poc/claude-usage-check.js", "is_error": false, "content": { "Text": "1\tasync function testClaudeOAuth(token) {\n2\t const res = await fetch('https://api.anthropic.com/api/oauth/usage', {\n3\t headers: {\n4\t Authorization: `Bearer ${token}`,\n5\t 'User-Agent': 'openclaw',\n6\t Accept: 'application/json',\n7\t 'anthropic-version': '2023-06-01',\n8\t 'anthropic-beta': 'oauth-2025-04-20'\n9\t }\n10\t });\n11\t console.log(res.status, await res.text());\n12\t}\n13\t\n14\tasync function testClaudeWeb(sessionKey) {\n15\t const orgRes = await fetch('https://claude.ai/api/organizations', {\n16\t headers: {\n17\t Cookie: `sessionKey=${sessionKey}`,\n18\t Accept: 'application/json'\n19\t }\n20\t });\n21\t const orgs = await orgRes.json();\n22\t const orgId = orgs?.[0]?.uuid;\n23\t const usageRes = await fetch(`https://claude.ai/api/organizations/${orgId}/usage`, {\n24\t headers: {\n25\t Cookie: `sessionKey=${sessionKey}`,\n26\t Accept: 'application/json'\n27\t }\n28\t });\n29\t console.log(usageRes.status, await usageRes.text());\n30\t}\n31\t\n32\tconsole.log('Provide a token/session key manually to use this PoC.');\n33\t" }, "output": "1\tasync function testClaudeOAuth(token) {\n2\t const res = await fetch('https://api.anthropic.com/api/oauth/usage', {\n3\t headers: {\n4\t Authorization: `Bearer ${token}`,\n5\t 'User-Agent': 'openclaw',\n6\t Accept: 'application/json',\n7\t 'anthropic-version': '2023-06-01',\n8\t 'anthropic-beta': 'oauth-2025-04-20'\n9\t }\n10\t });\n11\t console.log(res.status, await res.text());\n12\t}\n13\t\n14\tasync function testClaudeWeb(sessionKey) {\n15\t const orgRes = await fetch('https://claude.ai/api/organizations', {\n16\t headers: {\n17\t Cookie: `sessionKey=${sessionKey}`,\n18\t Accept: 'application/json'\n19\t }\n20\t });\n21\t const orgs = await orgRes.json();\n22\t const orgId = orgs?.[0]?.uuid;\n23\t const usageRes = await fetch(`https://claude.ai/api/organizations/${orgId}/usage`, {\n24\t headers: {\n25\t Cookie: `sessionKey=${sessionKey}`,\n26\t Accept: 'application/json'\n27\t }\n28\t });\n29\t console.log(usageRes.status, await usageRes.text());\n30\t}\n31\t\n32\tconsole.log('Provide a token/session key manually to use this PoC.');\n33\t" }, "toolu_01AxtWFuEmkaVTNWgSGK8CMK": { "tool_use_id": "toolu_01AxtWFuEmkaVTNWgSGK8CMK", "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 12 19:47 ..\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 12 19:47 ..\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 api\ndrwxrwxr-x 2 lagoon3 lagoon3 4096 4월 12 19:37 web" }, "toolu_0166QxWSQH3Qpbz3asTXMMys": { "tool_use_id": "toolu_0166QxWSQH3Qpbz3asTXMMys", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/apps -maxdepth 2 -type f -name \"*.json\" | head -10", "is_error": false, "content": { "Text": "(Bash completed with no output)" }, "output": "(Bash completed with no output)" }, "toolu_012JnEwFg2cfxGn1G3bh5kG6": { "tool_use_id": "toolu_012JnEwFg2cfxGn1G3bh5kG6", "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- Codex provider live usage 조회 결과 출력\n14\t- 공통 snapshot 스키마 기반 출력 흐름\n15\t\n16\t아직 미구현 또는 초기 상태:\n17\t- Claude adapter 연결\n18\t- `inspect ` 상세 출력\n19\t- `sync` 업로드 기능\n20\t- 정식 formatter / table renderer\n21\t- schema validation\n22\t\n23\t## 현재 가능한 명령\n24\t\n25\t- `ai-usage-agent status`\n26\t - 현재 설정과 Codex live usage 결과를 출력\n27\t- `ai-usage-agent usage`\n28\t - 현재는 `status`와 동일한 경로로 usage 요약 출력\n29\t- `ai-usage-agent doctor`\n30\t - auth/config/path/endpoint 진단용 명령 자리\n31\t- `ai-usage-agent config init`\n32\t - 기본 설정 파일 생성\n33\t\n34\t## 로컬 개발 실행\n35\t\n36\t프로젝트 루트에서:\n37\t\n38\t```bash\n39\tnpm run agent:status\n40\tnpm run agent:usage\n41\tnpm run agent:doctor\n42\tnpm run agent:config:init\n43\t```\n44\t\n45\t또는 직접 실행:\n46\t\n47\t```bash\n48\tnode packages/agent/bin/ai-usage-agent.js status\n49\t```\n50\t\n51\t## 설정 파일\n52\t\n53\t기본 설정 경로:\n54\t\n55\t```text\n56\t~/.config/ai-usage-agent/config.json\n57\t```\n58\t\n59\t현재 기본 설정에는 아래 항목이 들어간다:\n60\t- 출력 포맷\n61\t- sync 사용 여부\n62\t- provider 활성화 여부\n63\t\n64\t## 현재 Codex 연동 방식\n65\t\n66\t- OpenClaw auth profile 저장소를 읽음\n67\t- Codex usage endpoint를 bearer auth로 호출\n68\t- 응답을 공통 snapshot 구조로 변환\n69\t- 시간 필드는 ISO datetime string으로 정규화\n70\t- provider 원본값은 snapshot의 `raw`에 보존\n71\t\n72\t## 예정 명령\n73\t\n74\t- `ai-usage-agent inspect `\n75\t- `ai-usage-agent sync`\n76\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- Codex provider live usage 조회 결과 출력\n14\t- 공통 snapshot 스키마 기반 출력 흐름\n15\t\n16\t아직 미구현 또는 초기 상태:\n17\t- Claude adapter 연결\n18\t- `inspect ` 상세 출력\n19\t- `sync` 업로드 기능\n20\t- 정식 formatter / table renderer\n21\t- schema validation\n22\t\n23\t## 현재 가능한 명령\n24\t\n25\t- `ai-usage-agent status`\n26\t - 현재 설정과 Codex live usage 결과를 출력\n27\t- `ai-usage-agent usage`\n28\t - 현재는 `status`와 동일한 경로로 usage 요약 출력\n29\t- `ai-usage-agent doctor`\n30\t - auth/config/path/endpoint 진단용 명령 자리\n31\t- `ai-usage-agent config init`\n32\t - 기본 설정 파일 생성\n33\t\n34\t## 로컬 개발 실행\n35\t\n36\t프로젝트 루트에서:\n37\t\n38\t```bash\n39\tnpm run agent:status\n40\tnpm run agent:usage\n41\tnpm run agent:doctor\n42\tnpm run agent:config:init\n43\t```\n44\t\n45\t또는 직접 실행:\n46\t\n47\t```bash\n48\tnode packages/agent/bin/ai-usage-agent.js status\n49\t```\n50\t\n51\t## 설정 파일\n52\t\n53\t기본 설정 경로:\n54\t\n55\t```text\n56\t~/.config/ai-usage-agent/config.json\n57\t```\n58\t\n59\t현재 기본 설정에는 아래 항목이 들어간다:\n60\t- 출력 포맷\n61\t- sync 사용 여부\n62\t- provider 활성화 여부\n63\t\n64\t## 현재 Codex 연동 방식\n65\t\n66\t- OpenClaw auth profile 저장소를 읽음\n67\t- Codex usage endpoint를 bearer auth로 호출\n68\t- 응답을 공통 snapshot 구조로 변환\n69\t- 시간 필드는 ISO datetime string으로 정규화\n70\t- provider 원본값은 snapshot의 `raw`에 보존\n71\t\n72\t## 예정 명령\n73\t\n74\t- `ai-usage-agent inspect `\n75\t- `ai-usage-agent sync`\n76\t" }, "toolu_01GZaDG63VPvU3x3LnjNACai": { "tool_use_id": "toolu_01GZaDG63VPvU3x3LnjNACai", "tool_name": "find /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github -type f", "is_error": false, "content": { "Text": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/pull_request_template.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/ISSUE_TEMPLATE/task.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/ISSUE_TEMPLATE/config.yml\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/ISSUE_TEMPLATE/bug_report.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/ISSUE_TEMPLATE/feature_request.md" }, "output": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/pull_request_template.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/ISSUE_TEMPLATE/task.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/ISSUE_TEMPLATE/config.yml\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/ISSUE_TEMPLATE/bug_report.md\n/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/.github/ISSUE_TEMPLATE/feature_request.md" }, "toolu_01NzSuytu5Ww8RGLxTcVG7EP": { "tool_use_id": "toolu_01NzSuytu5Ww8RGLxTcVG7EP", "tool_name": "Read .github/pull_request_template.md", "is_error": false, "content": { "Text": "1\t## 요약\n2\t\n3\t- 이 PR에서 무엇을 변경했는지 적어주세요.\n4\t- 가능하면 2~4줄 안에서 핵심만 정리해주세요.\n5\t- 특별한 이유가 없으면 **한글로 작성**해주세요.\n6\t\n7\t## 변경 내용\n8\t\n9\t- 주요 변경 사항 1\n10\t- 주요 변경 사항 2\n11\t- 주요 변경 사항 3\n12\t\n13\t## 변경 이유\n14\t\n15\t- 왜 이 변경이 필요한지 적어주세요.\n16\t- 배경이나 의사결정 포인트가 있으면 함께 적어주세요.\n17\t- 설명은 기본적으로 **한글 기준**으로 작성해주세요.\n18\t\n19\t## 영향 범위\n20\t\n21\t해당되는 영역에 표시해주세요.\n22\t\n23\t- [ ] `apps/web`\n24\t- [ ] `apps/api`\n25\t- [ ] `packages/schemas`\n26\t- [ ] `packages/provider-adapters`\n27\t- [ ] `repo`\n28\t- [ ] `docs`\n29\t\n30\t## 스크린샷 / 데모\n31\t\n32\t- UI 변경이 있으면 스크린샷, GIF, 또는 간단한 설명을 첨부해주세요.\n33\t- 없으면 `없음`이라고 적어주세요.\n34\t\n35\t## 테스트 / 확인\n36\t\n37\t- [ ] 관련 스크립트 또는 기능을 로컬에서 확인\n38\t- [ ] 필요한 문서 업데이트 반영\n39\t- [ ] schema / provider / UI 영향 범위를 직접 점검\n40\t\n41\t## 리뷰 포인트\n42\t\n43\t- 리뷰어가 특히 봐야 할 부분이 있으면 적어주세요.\n44\t- 예: 구조 변경, 데이터 흐름, 정규화 로직, provider auth 처리\n45\t- 외부 라이브러리명, API명, 경로, 코드 식별자를 제외한 설명은 한글로 작성해주세요.\n46\t\n47\t## 참고 사항\n48\t\n49\t- 후속 작업, 보류한 내용, 제약사항이 있으면 적어주세요.\n50\t\n51\t> PR 제목은 `[feat]`, `[fix]`, `[docs]`처럼 타입은 영어로 유지하고, 뒤의 설명은 한글로 작성하는 것을 기본 규칙으로 합니다.\n52\t" }, "output": "1\t## 요약\n2\t\n3\t- 이 PR에서 무엇을 변경했는지 적어주세요.\n4\t- 가능하면 2~4줄 안에서 핵심만 정리해주세요.\n5\t- 특별한 이유가 없으면 **한글로 작성**해주세요.\n6\t\n7\t## 변경 내용\n8\t\n9\t- 주요 변경 사항 1\n10\t- 주요 변경 사항 2\n11\t- 주요 변경 사항 3\n12\t\n13\t## 변경 이유\n14\t\n15\t- 왜 이 변경이 필요한지 적어주세요.\n16\t- 배경이나 의사결정 포인트가 있으면 함께 적어주세요.\n17\t- 설명은 기본적으로 **한글 기준**으로 작성해주세요.\n18\t\n19\t## 영향 범위\n20\t\n21\t해당되는 영역에 표시해주세요.\n22\t\n23\t- [ ] `apps/web`\n24\t- [ ] `apps/api`\n25\t- [ ] `packages/schemas`\n26\t- [ ] `packages/provider-adapters`\n27\t- [ ] `repo`\n28\t- [ ] `docs`\n29\t\n30\t## 스크린샷 / 데모\n31\t\n32\t- UI 변경이 있으면 스크린샷, GIF, 또는 간단한 설명을 첨부해주세요.\n33\t- 없으면 `없음`이라고 적어주세요.\n34\t\n35\t## 테스트 / 확인\n36\t\n37\t- [ ] 관련 스크립트 또는 기능을 로컬에서 확인\n38\t- [ ] 필요한 문서 업데이트 반영\n39\t- [ ] schema / provider / UI 영향 범위를 직접 점검\n40\t\n41\t## 리뷰 포인트\n42\t\n43\t- 리뷰어가 특히 봐야 할 부분이 있으면 적어주세요.\n44\t- 예: 구조 변경, 데이터 흐름, 정규화 로직, provider auth 처리\n45\t- 외부 라이브러리명, API명, 경로, 코드 식별자를 제외한 설명은 한글로 작성해주세요.\n46\t\n47\t## 참고 사항\n48\t\n49\t- 후속 작업, 보류한 내용, 제약사항이 있으면 적어주세요.\n50\t\n51\t> PR 제목은 `[feat]`, `[fix]`, `[docs]`처럼 타입은 영어로 유지하고, 뒤의 설명은 한글로 작성하는 것을 기본 규칙으로 합니다.\n52\t" }, "toolu_01F7CAqGbRzebBJqYQZQrR9w": { "tool_use_id": "toolu_01F7CAqGbRzebBJqYQZQrR9w", "tool_name": "Read packages/schemas/README.md", "is_error": false, "content": { "Text": "1\t# schemas\n2\t\n3\tAI 사용량 통합 대시보드의 공통 데이터 스키마 패키지.\n4\t\n5\t## 현재 구현 상태\n6\t\n7\t초기 초안 단계이며, Codex adapter를 기준으로 첫 버전을 정의했다.\n8\t\n9\t현재 포함:\n10\t- `usage-snapshot.schema.json`\n11\t- `usage-event.schema.json`\n12\t- `examples/codex-usage-snapshot.example.json`\n13\t- `examples/codex-auth-error.event.example.json`\n14\t\n15\t## 설계 원칙\n16\t\n17\t- provider별 응답 형식을 내부 공통 구조로 정규화\n18\t- CLI, 업로더, API, 웹이 같은 계약을 공유\n19\t- 시간 필드는 ISO datetime string 사용\n20\t- provider 고유 원본값은 `raw`에 보존\n21\t- `source`, `authType`, `confidence`를 필수 개념으로 유지\n22\t\n23\t## usage snapshot\n24\t현재 상태를 표현하는 스키마.\n25\t\n26\t핵심 필드:\n27\t- `schemaVersion`\n28\t- `snapshotId`\n29\t- `capturedAt`\n30\t- `provider`\n31\t- `account`\n32\t- `source`\n33\t- `authType`\n34\t- `confidence`\n35\t- `status`\n36\t- `usageWindows`\n37\t- `credits`\n38\t- `raw`\n39\t\n40\t## usage event\n41\t오류, 제한, 관측 이벤트를 표현하는 스키마.\n42\t\n43\t핵심 필드:\n44\t- `schemaVersion`\n45\t- `eventId`\n46\t- `occurredAt`\n47\t- `provider`\n48\t- `account`\n49\t- `source`\n50\t- `authType`\n51\t- `confidence`\n52\t- `reason`\n53\t- `severity`\n54\t- `raw`\n55\t\n56\t## 현재 한계\n57\t\n58\t- 아직 validator 연결 전\n59\t- 아직 모든 provider를 포괄하지는 않음\n60\t- taxonomy와 field naming은 adapter 확장하면서 추가 조정 가능\n61\t" }, "output": "1\t# schemas\n2\t\n3\tAI 사용량 통합 대시보드의 공통 데이터 스키마 패키지.\n4\t\n5\t## 현재 구현 상태\n6\t\n7\t초기 초안 단계이며, Codex adapter를 기준으로 첫 버전을 정의했다.\n8\t\n9\t현재 포함:\n10\t- `usage-snapshot.schema.json`\n11\t- `usage-event.schema.json`\n12\t- `examples/codex-usage-snapshot.example.json`\n13\t- `examples/codex-auth-error.event.example.json`\n14\t\n15\t## 설계 원칙\n16\t\n17\t- provider별 응답 형식을 내부 공통 구조로 정규화\n18\t- CLI, 업로더, API, 웹이 같은 계약을 공유\n19\t- 시간 필드는 ISO datetime string 사용\n20\t- provider 고유 원본값은 `raw`에 보존\n21\t- `source`, `authType`, `confidence`를 필수 개념으로 유지\n22\t\n23\t## usage snapshot\n24\t현재 상태를 표현하는 스키마.\n25\t\n26\t핵심 필드:\n27\t- `schemaVersion`\n28\t- `snapshotId`\n29\t- `capturedAt`\n30\t- `provider`\n31\t- `account`\n32\t- `source`\n33\t- `authType`\n34\t- `confidence`\n35\t- `status`\n36\t- `usageWindows`\n37\t- `credits`\n38\t- `raw`\n39\t\n40\t## usage event\n41\t오류, 제한, 관측 이벤트를 표현하는 스키마.\n42\t\n43\t핵심 필드:\n44\t- `schemaVersion`\n45\t- `eventId`\n46\t- `occurredAt`\n47\t- `provider`\n48\t- `account`\n49\t- `source`\n50\t- `authType`\n51\t- `confidence`\n52\t- `reason`\n53\t- `severity`\n54\t- `raw`\n55\t\n56\t## 현재 한계\n57\t\n58\t- 아직 validator 연결 전\n59\t- 아직 모든 provider를 포괄하지는 않음\n60\t- taxonomy와 field naming은 adapter 확장하면서 추가 조정 가능\n61\t" }, "toolu_01Kmuj75PB5Mmqzv8B9EWcrd": { "tool_use_id": "toolu_01Kmuj75PB5Mmqzv8B9EWcrd", "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_01YFUwcHV4M7UrsPHijpqDCJ": { "tool_use_id": "toolu_01YFUwcHV4M7UrsPHijpqDCJ", "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_01WMuA3oJJjb4YyuFdNwKzkG": { "tool_use_id": "toolu_01WMuA3oJJjb4YyuFdNwKzkG", "tool_name": "Read docs/architecture.md", "is_error": false, "content": { "Text": "1\t# 아키텍처\n2\t\n3\t## 요약\n4\t\n5\t이 프로젝트는 하이브리드 구조를 사용한다.\n6\t\n7\t- 로컬 인증 및 세션 재사용이 필요한 provider는 로컬 에이전트에서 처리\n8\t- 공식 usage endpoint가 안정적인 provider는 백엔드에서 직접 poll\n9\t- 최종 상태 표시는 공통 정규화 계층을 통해 통합\n10\t\n11\t## 주요 구성 요소\n12\t\n13\t### 로컬 에이전트\n14\t- provider별 인증 해석\n15\t- 로컬 usage endpoint 호출\n16\t- 이벤트 관측\n17\t- 버퍼링 및 업로드\n18\t\n19\t### 백엔드 API\n20\t- 정규화 이벤트 수집\n21\t- 가능한 provider 직접 poll\n22\t- 상태 집계\n23\t- 대시보드용 API 제공\n24\t\n25\t### 웹 대시보드\n26\t- 전체 overview\n27\t- provider / account 상세\n28\t- timeline\n29\t- health 표시\n30\t" }, "output": "1\t# 아키텍처\n2\t\n3\t## 요약\n4\t\n5\t이 프로젝트는 하이브리드 구조를 사용한다.\n6\t\n7\t- 로컬 인증 및 세션 재사용이 필요한 provider는 로컬 에이전트에서 처리\n8\t- 공식 usage endpoint가 안정적인 provider는 백엔드에서 직접 poll\n9\t- 최종 상태 표시는 공통 정규화 계층을 통해 통합\n10\t\n11\t## 주요 구성 요소\n12\t\n13\t### 로컬 에이전트\n14\t- provider별 인증 해석\n15\t- 로컬 usage endpoint 호출\n16\t- 이벤트 관측\n17\t- 버퍼링 및 업로드\n18\t\n19\t### 백엔드 API\n20\t- 정규화 이벤트 수집\n21\t- 가능한 provider 직접 poll\n22\t- 상태 집계\n23\t- 대시보드용 API 제공\n24\t\n25\t### 웹 대시보드\n26\t- 전체 overview\n27\t- provider / account 상세\n28\t- timeline\n29\t- health 표시\n30\t" }, "toolu_01Dgdu83PQZRsYNmDMNHitwD": { "tool_use_id": "toolu_01Dgdu83PQZRsYNmDMNHitwD", "tool_name": "Read docs/provider-notes.md", "is_error": false, "content": { "Text": "1\t# Provider 메모\n2\t\n3\t## OpenAI Codex\n4\t- Endpoint: `https://chatgpt.com/backend-api/wham/usage`\n5\t- 인증: OAuth bearer token\n6\t- 선택 헤더: `ChatGPT-Account-Id`\n7\t- 상태: 현재 로컬 환경에서 실작동 검증 완료\n8\t\n9\t## Anthropic / Claude\n10\t- OAuth endpoint: `https://api.anthropic.com/api/oauth/usage`\n11\t- Web fallback:\n12\t - `https://claude.ai/api/organizations`\n13\t - `https://claude.ai/api/organizations/{orgId}/usage`\n14\t- 인증: OAuth token 또는 claude.ai session key/cookie fallback\n15\t- 상태: endpoint 경로는 확인했지만, 현재 로컬 인증이 없어 실호출 검증은 아직 미완료\n16\t" }, "output": "1\t# Provider 메모\n2\t\n3\t## OpenAI Codex\n4\t- Endpoint: `https://chatgpt.com/backend-api/wham/usage`\n5\t- 인증: OAuth bearer token\n6\t- 선택 헤더: `ChatGPT-Account-Id`\n7\t- 상태: 현재 로컬 환경에서 실작동 검증 완료\n8\t\n9\t## Anthropic / Claude\n10\t- OAuth endpoint: `https://api.anthropic.com/api/oauth/usage`\n11\t- Web fallback:\n12\t - `https://claude.ai/api/organizations`\n13\t - `https://claude.ai/api/organizations/{orgId}/usage`\n14\t- 인증: OAuth token 또는 claude.ai session key/cookie fallback\n15\t- 상태: endpoint 경로는 확인했지만, 현재 로컬 인증이 없어 실호출 검증은 아직 미완료\n16\t" }, "toolu_01MdFqxggUromsDi3pFGyQkc": { "tool_use_id": "toolu_01MdFqxggUromsDi3pFGyQkc", "tool_name": "Read packages/schemas/src/usage-snapshot.schema.json", "is_error": true, "content": { "Text": "File does not exist. Note: your current working directory is /home/lagoon3/.openclaw/workspace/ai-usage-dashboard." }, "output": "File does not exist. Note: your current working directory is /home/lagoon3/.openclaw/workspace/ai-usage-dashboard." }, "toolu_01YXTV7t1G7csq9NRjMxcGaK": { "tool_use_id": "toolu_01YXTV7t1G7csq9NRjMxcGaK", "tool_name": "Find `packages/schemas/**/*.json`", "is_error": false, "content": { "Text": "packages/schemas/usage-event.schema.json\npackages/schemas/package.json\npackages/schemas/usage-snapshot.schema.json\npackages/schemas/examples/codex-auth-error.event.example.json\npackages/schemas/examples/codex-usage-snapshot.example.json" }, "output": "packages/schemas/usage-event.schema.json\npackages/schemas/package.json\npackages/schemas/usage-snapshot.schema.json\npackages/schemas/examples/codex-auth-error.event.example.json\npackages/schemas/examples/codex-usage-snapshot.example.json" }, "toolu_01NwvzfSRa1KtsmYPvLfUxU8": { "tool_use_id": "toolu_01NwvzfSRa1KtsmYPvLfUxU8", "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_017JMf5w2TA93xzXDLMWztX2": { "tool_use_id": "toolu_017JMf5w2TA93xzXDLMWztX2", "tool_name": "Read CONTRIBUTING.md", "is_error": false, "content": { "Text": "1\t# 기여 / 작업 규칙\n2\t\n3\t이 저장소는 `Portfolio-Project`에서 사용 중인 커밋/PR 흐름을 참고해 운영한다.\n4\t\n5\t## 1. 브랜치 전략\n6\t\n7\t기본 브랜치는 다음처럼 사용한다.\n8\t\n9\t- `main`: 배포 가능하거나 기준이 되는 안정 브랜치\n10\t- `dev`: 다음 작업들을 모아두는 통합 브랜치\n11\t- 작업 브랜치: 기능/수정 단위 브랜치\n12\t\n13\t권장 흐름:\n14\t\n15\t1. `dev`에서 작업 브랜치를 만든다.\n16\t2. 작업이 끝나면 `dev`로 PR을 연다.\n17\t3. 검증이 끝난 뒤 `dev -> main`으로 올린다.\n18\t\n19\t브랜치 이름 예시:\n20\t\n21\t- `feat/codex-adapter`\n22\t- `feat/dashboard-overview`\n23\t- `fix/schema-normalizer`\n24\t- `chore/repo-scaffold`\n25\t- `docs/provider-notes-ko`\n26\t\n27\t## 2. 커밋 메시지 규칙\n28\t\n29\t기본 형식:\n30\t\n31\t```text\n32\t(): <한글 설명>\n33\t```\n34\t\n35\tscope가 애매하면 생략 가능:\n36\t\n37\t```text\n38\t: <한글 설명>\n39\t```\n40\t\n41\t### type 목록\n42\t\n43\t- `feat`: 기능 추가\n44\t- `fix`: 버그 수정\n45\t- `refactor`: 동작 변화 없는 구조 개선\n46\t- `docs`: 문서 수정\n47\t- `chore`: 설정, 스캐폴드, 기타 유지보수\n48\t- `ci`: CI/CD 변경\n49\t- `test`: 테스트 추가/수정\n50\t- `perf`: 성능 개선\n51\t\n52\t### scope 예시\n53\t\n54\t- `web`\n55\t- `api`\n56\t- `schemas`\n57\t- `adapters`\n58\t- `codex`\n59\t- `claude`\n60\t- `repo`\n61\t- `docs`\n62\t\n63\t### 좋은 예시\n64\t\n65\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n66\t- `fix(web): overview 카드에서 reset 시각 포맷 오류 수정`\n67\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n68\t- `ci(api): schema 검사 잡 추가`\n69\t\n70\t### 피할 것\n71\t\n72\t- `update`\n73\t- `fix bug`\n74\t- `작업중`\n75\t- `커밋`\n76\t- 의미 없는 여러 변경을 한 커밋에 몰아넣기\n77\t\n78\t## 3. Pull Request 규칙\n79\t\n80\t### PR 제목\n81\t\n82\t기본 형식:\n83\t\n84\t```text\n85\t[type] 한글 요약\n86\t```\n87\t\n88\t예시:\n89\t\n90\t- `[feat] Codex usage adapter 초안 추가`\n91\t- `[fix] dashboard timeline 정렬 오류 수정`\n92\t- `[docs] schema 예시 payload 문서화`\n93\t\n94\t### PR 본문\n95\t\n96\t설명은 기본적으로 한글로 작성한다.\n97\t외부 라이브러리명, API명, 경로, 코드 식별자는 원문 그대로 적어도 된다.\n98\t\n99\tPR 본문에는 최소한 아래 내용을 포함한다.\n100\t\n101\t1. 요약\n102\t2. 변경 내용\n103\t3. 변경 이유\n104\t4. 영향 범위\n105\t5. 테스트 / 확인\n106\t6. 리뷰 포인트\n107\t7. 참고 사항\n108\t\n109\t### 영향 범위 체크 예시\n110\t\n111\t- [ ] `apps/web`\n112\t- [ ] `apps/api`\n113\t- [ ] `packages/schemas`\n114\t- [ ] `packages/provider-adapters`\n115\t- [ ] `repo`\n116\t- [ ] `docs`\n117\t\n118\t## 4. 작업 단위 규칙\n119\t\n120\t- 하나의 PR은 가능한 한 하나의 주제만 다룬다.\n121\t- 스캐폴드/문서/기능/리팩터링을 한 PR에 과하게 섞지 않는다.\n122\t- 기능 PR이면 가능한 한 mock 또는 sample payload 기준으로라도 확인 결과를 남긴다.\n123\t- provider endpoint 검증 코드는 `scripts/poc/`에서 시작하고, 안정화되면 package 내부로 옮긴다.\n124\t\n125\t## 5. 병합 전 확인\n126\t\n127\t최소 확인 항목:\n128\t\n129\t- 관련 문서가 필요하면 같이 수정했는가\n130\t- schema 변경이면 sample payload도 같이 반영했는가\n131\t- UI 변경이면 스크린샷 또는 설명이 있는가\n132\t- endpoint/auth 관련 변경이면 인증/보안 영향이 정리됐는가\n133\t\n134\t## 6. 이 저장소의 기본 원칙\n135\t\n136\t- 커밋 타입은 영어로 유지\n137\t- 설명은 한글 기준\n138\t- PR 본문도 한글 기준\n139\t- `dev`를 통합 브랜치로 우선 사용\n140\t- `main`은 비교적 안정적인 상태만 반영\n141\t" }, "output": "1\t# 기여 / 작업 규칙\n2\t\n3\t이 저장소는 `Portfolio-Project`에서 사용 중인 커밋/PR 흐름을 참고해 운영한다.\n4\t\n5\t## 1. 브랜치 전략\n6\t\n7\t기본 브랜치는 다음처럼 사용한다.\n8\t\n9\t- `main`: 배포 가능하거나 기준이 되는 안정 브랜치\n10\t- `dev`: 다음 작업들을 모아두는 통합 브랜치\n11\t- 작업 브랜치: 기능/수정 단위 브랜치\n12\t\n13\t권장 흐름:\n14\t\n15\t1. `dev`에서 작업 브랜치를 만든다.\n16\t2. 작업이 끝나면 `dev`로 PR을 연다.\n17\t3. 검증이 끝난 뒤 `dev -> main`으로 올린다.\n18\t\n19\t브랜치 이름 예시:\n20\t\n21\t- `feat/codex-adapter`\n22\t- `feat/dashboard-overview`\n23\t- `fix/schema-normalizer`\n24\t- `chore/repo-scaffold`\n25\t- `docs/provider-notes-ko`\n26\t\n27\t## 2. 커밋 메시지 규칙\n28\t\n29\t기본 형식:\n30\t\n31\t```text\n32\t(): <한글 설명>\n33\t```\n34\t\n35\tscope가 애매하면 생략 가능:\n36\t\n37\t```text\n38\t: <한글 설명>\n39\t```\n40\t\n41\t### type 목록\n42\t\n43\t- `feat`: 기능 추가\n44\t- `fix`: 버그 수정\n45\t- `refactor`: 동작 변화 없는 구조 개선\n46\t- `docs`: 문서 수정\n47\t- `chore`: 설정, 스캐폴드, 기타 유지보수\n48\t- `ci`: CI/CD 변경\n49\t- `test`: 테스트 추가/수정\n50\t- `perf`: 성능 개선\n51\t\n52\t### scope 예시\n53\t\n54\t- `web`\n55\t- `api`\n56\t- `schemas`\n57\t- `adapters`\n58\t- `codex`\n59\t- `claude`\n60\t- `repo`\n61\t- `docs`\n62\t\n63\t### 좋은 예시\n64\t\n65\t- `feat(codex): usage endpoint 응답을 공통 snapshot으로 변환`\n66\t- `fix(web): overview 카드에서 reset 시각 포맷 오류 수정`\n67\t- `docs(repo): 브랜치 전략과 PR 규칙 추가`\n68\t- `ci(api): schema 검사 잡 추가`\n69\t\n70\t### 피할 것\n71\t\n72\t- `update`\n73\t- `fix bug`\n74\t- `작업중`\n75\t- `커밋`\n76\t- 의미 없는 여러 변경을 한 커밋에 몰아넣기\n77\t\n78\t## 3. Pull Request 규칙\n79\t\n80\t### PR 제목\n81\t\n82\t기본 형식:\n83\t\n84\t```text\n85\t[type] 한글 요약\n86\t```\n87\t\n88\t예시:\n89\t\n90\t- `[feat] Codex usage adapter 초안 추가`\n91\t- `[fix] dashboard timeline 정렬 오류 수정`\n92\t- `[docs] schema 예시 payload 문서화`\n93\t\n94\t### PR 본문\n95\t\n96\t설명은 기본적으로 한글로 작성한다.\n97\t외부 라이브러리명, API명, 경로, 코드 식별자는 원문 그대로 적어도 된다.\n98\t\n99\tPR 본문에는 최소한 아래 내용을 포함한다.\n100\t\n101\t1. 요약\n102\t2. 변경 내용\n103\t3. 변경 이유\n104\t4. 영향 범위\n105\t5. 테스트 / 확인\n106\t6. 리뷰 포인트\n107\t7. 참고 사항\n108\t\n109\t### 영향 범위 체크 예시\n110\t\n111\t- [ ] `apps/web`\n112\t- [ ] `apps/api`\n113\t- [ ] `packages/schemas`\n114\t- [ ] `packages/provider-adapters`\n115\t- [ ] `repo`\n116\t- [ ] `docs`\n117\t\n118\t## 4. 작업 단위 규칙\n119\t\n120\t- 하나의 PR은 가능한 한 하나의 주제만 다룬다.\n121\t- 스캐폴드/문서/기능/리팩터링을 한 PR에 과하게 섞지 않는다.\n122\t- 기능 PR이면 가능한 한 mock 또는 sample payload 기준으로라도 확인 결과를 남긴다.\n123\t- provider endpoint 검증 코드는 `scripts/poc/`에서 시작하고, 안정화되면 package 내부로 옮긴다.\n124\t\n125\t## 5. 병합 전 확인\n126\t\n127\t최소 확인 항목:\n128\t\n129\t- 관련 문서가 필요하면 같이 수정했는가\n130\t- schema 변경이면 sample payload도 같이 반영했는가\n131\t- UI 변경이면 스크린샷 또는 설명이 있는가\n132\t- endpoint/auth 관련 변경이면 인증/보안 영향이 정리됐는가\n133\t\n134\t## 6. 이 저장소의 기본 원칙\n135\t\n136\t- 커밋 타입은 영어로 유지\n137\t- 설명은 한글 기준\n138\t- PR 본문도 한글 기준\n139\t- `dev`를 통합 브랜치로 우선 사용\n140\t- `main`은 비교적 안정적인 상태만 반영\n141\t" }, "toolu_01EYiQ5Vkp8fRanDwuSsx6nc": { "tool_use_id": "toolu_01EYiQ5Vkp8fRanDwuSsx6nc", "tool_name": "Read packages/schemas/usage-snapshot.schema.json", "is_error": false, "content": { "Text": "1\t{\n2\t \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n3\t \"$id\": \"https://llagoon3.dev/schemas/usage-snapshot.schema.json\",\n4\t \"title\": \"UsageSnapshot\",\n5\t \"type\": \"object\",\n6\t \"additionalProperties\": false,\n7\t \"required\": [\n8\t \"schemaVersion\",\n9\t \"snapshotId\",\n10\t \"capturedAt\",\n11\t \"provider\",\n12\t \"account\",\n13\t \"source\",\n14\t \"authType\",\n15\t \"confidence\",\n16\t \"status\",\n17\t \"usageWindows\"\n18\t ],\n19\t \"properties\": {\n20\t \"schemaVersion\": { \"type\": \"string\" },\n21\t \"snapshotId\": { \"type\": \"string\" },\n22\t \"capturedAt\": { \"type\": \"string\", \"format\": \"date-time\" },\n23\t \"provider\": {\n24\t \"type\": \"object\",\n25\t \"additionalProperties\": false,\n26\t \"required\": [\"id\"],\n27\t \"properties\": {\n28\t \"id\": { \"type\": \"string\" },\n29\t \"displayName\": { \"type\": [\"string\", \"null\"] },\n30\t \"region\": { \"type\": [\"string\", \"null\"] }\n31\t }\n32\t },\n33\t \"account\": {\n34\t \"type\": \"object\",\n35\t \"additionalProperties\": false,\n36\t \"required\": [\"profileId\"],\n37\t \"properties\": {\n38\t \"profileId\": { \"type\": \"string\" },\n39\t \"accountId\": { \"type\": [\"string\", \"null\"] },\n40\t \"email\": { \"type\": [\"string\", \"null\"] },\n41\t \"plan\": { \"type\": [\"string\", \"null\"] }\n42\t }\n43\t },\n44\t \"source\": {\n45\t \"type\": \"string\",\n46\t \"enum\": [\"provider_usage_endpoint\", \"local_observed_event\", \"inferred\"]\n47\t },\n48\t \"authType\": {\n49\t \"type\": \"string\",\n50\t \"enum\": [\"oauth\", \"session_cookie\", \"session_key\", \"api_key\", \"unknown\"]\n51\t },\n52\t \"confidence\": {\n53\t \"type\": \"string\",\n54\t \"enum\": [\"high\", \"medium\", \"low\"]\n55\t },\n56\t \"status\": {\n57\t \"type\": \"object\",\n58\t \"additionalProperties\": false,\n59\t \"required\": [\"bucket\", \"ok\"],\n60\t \"properties\": {\n61\t \"bucket\": {\n62\t \"type\": \"string\",\n63\t \"enum\": [\"ok\", \"rate_limit\", \"usage_window\", \"billing\", \"auth\", \"overloaded\", \"unknown\"]\n64\t },\n65\t \"ok\": { \"type\": \"boolean\" },\n66\t \"httpStatus\": { \"type\": [\"integer\", \"null\"] },\n67\t \"message\": { \"type\": [\"string\", \"null\"] },\n68\t \"lastSuccessAt\": { \"type\": [\"string\", \"null\"], \"format\": \"date-time\" },\n69\t \"lastFailureAt\": { \"type\": [\"string\", \"null\"], \"format\": \"date-time\" }\n70\t }\n71\t },\n72\t \"usageWindows\": {\n73\t \"type\": \"array\",\n74\t \"items\": {\n75\t \"type\": \"object\",\n76\t \"additionalProperties\": false,\n77\t \"required\": [\"kind\"],\n78\t \"properties\": {\n79\t \"kind\": { \"type\": \"string\" },\n80\t \"label\": { \"type\": [\"string\", \"null\"] },\n81\t \"usedPercent\": { \"type\": [\"number\", \"integer\", \"null\"] },\n82\t \"usedAmount\": { \"type\": [\"number\", \"integer\", \"null\"] },\n83\t \"limitAmount\": { \"type\": [\"number\", \"integer\", \"null\"] },\n84\t \"remainingAmount\": { \"type\": [\"number\", \"integer\", \"null\"] },\n85\t \"windowSeconds\": { \"type\": [\"integer\", \"null\"] },\n86\t \"resetAt\": { \"type\": [\"string\", \"null\"], \"format\": \"date-time\" }\n87\t }\n88\t }\n89\t },\n90\t \"credits\": {\n91\t \"type\": [\"object\", \"null\"],\n92\t \"additionalProperties\": false,\n93\t \"properties\": {\n94\t \"balance\": { \"type\": [\"number\", \"integer\", \"null\"] },\n95\t \"unit\": { \"type\": [\"string\", \"null\"] }\n96\t }\n97\t },\n98\t \"raw\": {\n99\t \"type\": [\"object\", \"null\"],\n100\t \"additionalProperties\": true\n101\t }\n102\t }\n103\t}\n104\t" }, "output": "1\t{\n2\t \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n3\t \"$id\": \"https://llagoon3.dev/schemas/usage-snapshot.schema.json\",\n4\t \"title\": \"UsageSnapshot\",\n5\t \"type\": \"object\",\n6\t \"additionalProperties\": false,\n7\t \"required\": [\n8\t \"schemaVersion\",\n9\t \"snapshotId\",\n10\t \"capturedAt\",\n11\t \"provider\",\n12\t \"account\",\n13\t \"source\",\n14\t \"authType\",\n15\t \"confidence\",\n16\t \"status\",\n17\t \"usageWindows\"\n18\t ],\n19\t \"properties\": {\n20\t \"schemaVersion\": { \"type\": \"string\" },\n21\t \"snapshotId\": { \"type\": \"string\" },\n22\t \"capturedAt\": { \"type\": \"string\", \"format\": \"date-time\" },\n23\t \"provider\": {\n24\t \"type\": \"object\",\n25\t \"additionalProperties\": false,\n26\t \"required\": 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"[{\"type\":\"tool_reference\",\"tool_name\":\"TodoWrite\"}]" }, "output": [ { "type": "tool_reference", "tool_name": "TodoWrite" } ] }, "toolu_012S4J26zewkHHYutQiJWUjj": { "tool_use_id": "toolu_012S4J26zewkHHYutQiJWUjj", "tool_name": "gh issue list --state open --limit 20 2>/dev/null || echo \"No gh access or no issues\"", "is_error": false, "content": { "Text": "3\tOPEN\t대시보드 overview / timeline UI 프로토타입\t\t2026-04-12T10:41:26Z\n2\tOPEN\t검증된 Codex usage endpoint 기반 provider adapter 구현\t\t2026-04-13T02:54:09Z" }, "output": "3\tOPEN\t대시보드 overview / timeline UI 프로토타입\t\t2026-04-12T10:41:26Z\n2\tOPEN\t검증된 Codex usage endpoint 기반 provider adapter 구현\t\t2026-04-13T02:54:09Z" }, "toolu_019kAzbmXh8vYuDH1T5f5HJK": { "tool_use_id": "toolu_019kAzbmXh8vYuDH1T5f5HJK", "tool_name": "Read /home/lagoon3/.claude/projects/-home-lagoon3--openclaw-workspace-ai-usage-dashboard/memory/MEMORY.md", "is_error": true, "content": { "Text": "File does not exist. Note: your current working directory is /home/lagoon3/.openclaw/workspace/ai-usage-dashboard." }, "output": "File does not exist. Note: your current working directory is /home/lagoon3/.openclaw/workspace/ai-usage-dashboard." }, "toolu_01MUZvi8DG76wsUACtL81NU7": { "tool_use_id": "toolu_01MUZvi8DG76wsUACtL81NU7", "tool_name": "Write", "is_error": false, "content": { "Text": "" } } } } }, { "User": { "id": "1e7454ab-ffe0-4094-8f1e-521285b50ff9", "content": [ { "Text": "좀 짧게 나눠서 시키는게 좋을텐데. 만약에 클로드 세션 에러 나면 순서를 좀 분리해서 다시 시도해봐" } ] } }, { "Agent": { "content": [ { "Thinking": { "text": "The user wants me to proceed with the tasks but break them into smaller chunks to avoid session errors. Let me start with the first task - writing the auth architecture document.", "signature": null } }, { "Text": "알겠습니다. 하나씩 진행하겠습니다. 먼저 auth architecture 문서부터 작성합니다." }, { "ToolUse": { "id": "toolu_01UT1YqH6oE3bYYr4yYzYS9K", "name": "Write docs/auth-architecture.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md\",\"content\":\"# 인증 아키텍처 — 독립 인증 설계\\n\\n> 이 문서는 ai-usage-agent가 OpenClaw의 `auth-profiles.json`에 의존하지 않고, 자체적으로 인증 정보를 관리하기 위한 설계를 정리한다.\\n\\n## 1. 현재 상태 (AS-IS)\\n\\n```\\n~/.openclaw/agents/main/agent/auth-profiles.json\\n └─ profiles[id] → { provider, type, access, accountId, email, expires }\\n```\\n\\n- 에이전트는 OpenClaw이 저장한 `auth-profiles.json`을 읽기 전용으로 참조\\n- 인증 흐름 자체는 OpenClaw이 담당하며, 에이전트는 토큰만 가져다 쓰는 구조\\n- OpenClaw이 없으면 인증 불가 → 독립 실행 불가능\\n\\n## 2. 목표 (TO-BE)\\n\\n- 에이전트 자체 credential store를 통해 인증 정보를 관리\\n- OpenClaw 없이도 `auth login ` 명령으로 인증 가능\\n- 기존 OpenClaw 프로필은 마이그레이션 경로로 지원 (import)\\n- provider별 인증 방식 차이를 adapter 패턴으로 흡수\\n\\n## 3. 인증 흐름 우선순위\\n\\n각 provider에 대해 아래 순서로 시도한다.\\n\\n| 순위 | 방식 | 설명 |\\n|------|------|------|\\n| 1 | **Localhost callback OAuth** | `http://localhost:{port}/callback`으로 redirect 받는 표준 OAuth 흐름. 브라우저가 있는 환경에서 기본 사용. |\\n| 2 | **Device code** | provider가 device code grant를 지원하는 경우 fallback. headless 환경에 적합. |\\n| 3 | **Manual paste** | 사용자가 브라우저에서 직접 인증 후 token/code를 터미널에 붙여넣기. 최후 수단. |\\n\\n### 3.1 Localhost callback OAuth 상세\\n\\n```\\n1. 에이전트가 localhost:{random_port}에 임시 HTTP 서버 기동\\n2. 브라우저에서 provider OAuth authorize URL 열기\\n3. 사용자가 provider에서 인증 완료\\n4. provider가 localhost callback으로 authorization code 전달\\n5. 에이전트가 code → token exchange 수행\\n6. 임시 서버 종료, credential 저장\\n```\\n\\n### 3.2 Device code 상세\\n\\n```\\n1. 에이전트가 provider device authorization endpoint 호출\\n2. 사용자에게 verification URL + user code 표시\\n3. 사용자가 브라우저에서 인증\\n4. 에이전트가 polling으로 token 획득\\n5. credential 저장\\n```\\n\\n### 3.3 Manual paste 상세\\n\\n```\\n1. 에이전트가 authorize URL 출력\\n2. 사용자가 브라우저에서 인증 후 redirect된 URL 또는 token 복사\\n3. 터미널에 붙여넣기\\n4. 에이전트가 파싱 후 credential 저장\\n```\\n\\n## 4. Provider별 인증 방식 매핑\\n\\n| Provider | OAuth (localhost) | Device code | Manual paste | 비고 |\\n|----------|:-:|:-:|:-:|------|\\n| OpenAI Codex | ○ | △ (미확인) | ○ | chatgpt.com OAuth 기반 |\\n| Anthropic Claude | ○ | △ (미확인) | ○ | claude.ai OAuth 또는 session key |\\n\\n- ○ = 지원 예정\\n- △ = provider 지원 여부 확인 필요\\n\\n> 각 provider의 device code 지원 여부는 실제 endpoint 조사 후 확정한다.\\n\\n## 5. Credential 저장 위치\\n\\n```\\n~/.config/ai-usage-agent/\\n├── config.json # 기존 에이전트 설정\\n└── credentials.json # 새로 추가: 인증 정보 저장\\n```\\n\\n- 파일 권한: `0600` (소유자 읽기/쓰기만 허용)\\n- 저장 형식: 별도 스키마 문서 참조 (`docs/credential-store-schema.md`)\\n\\n## 6. 토큰 갱신 전략\\n\\n- credential에 `expiresAt`이 있으면, 만료 5분 전에 자동 refresh 시도\\n- refresh token이 없거나 갱신 실패 시 → status를 `auth` 버킷으로 전환, 사용자에게 재인증 안내\\n- 갱신 성공 시 credential store 업데이트\\n\\n## 7. OpenClaw 마이그레이션 경로\\n\\n기존 OpenClaw 사용자를 위한 일회성 import 지원:\\n\\n```bash\\nai-usage-agent auth import-openclaw\\n```\\n\\n동작:\\n1. `~/.openclaw/agents/main/agent/auth-profiles.json` 존재 확인\\n2. 지원되는 provider 프로필 추출\\n3. 에이전트 credential store 형식으로 변환 후 저장\\n4. 중복 방지: 같은 provider + accountId 조합이 이미 있으면 건너뜀\\n\\n> import는 마이그레이션 편의 기능이며, 런타임에서 OpenClaw 경로를 참조하지 않는다.\\n\\n## 8. 보안 원칙\\n\\n- refresh token, session cookie, session key는 로컬 credential store에만 저장\\n- credential store 파일은 `0600` 권한으로 생성\\n- 서버(백엔드)에는 토큰 원본을 전송하지 않음\\n- `auth status` 명령에서 토큰 값은 마스킹하여 표시\\n- 민감 정보는 로그에 기록하지 않음\\n\\n## 9. 아키텍처 다이어그램\\n\\n```\\n┌─────────────────────────────────────────────────────┐\\n│ CLI: ai-usage-agent auth login │\\n└──────────────────────┬──────────────────────────────┘\\n │\\n ┌─────────────▼──────────────┐\\n │ AuthFlowRouter │\\n │ (방식 선택 및 실행) │\\n └─────┬───────┬──────┬───────┘\\n │ │ │\\n ┌────────▼┐ ┌───▼───┐ ┌▼──────────┐\\n │Localhost│ │Device │ │Manual │\\n │OAuth │ │Code │ │Paste │\\n └────┬────┘ └───┬───┘ └─────┬─────┘\\n │ │ │\\n └───────────┼────────────┘\\n │\\n ┌─────────────▼──────────────┐\\n │ CredentialStore │\\n │ ~/.config/ai-usage-agent/ │\\n │ credentials.json │\\n └─────────...", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md", "content": "# 인증 아키텍처 — 독립 인증 설계\n\n> 이 문서는 ai-usage-agent가 OpenClaw의 `auth-profiles.json`에 의존하지 않고, 자체적으로 인증 정보를 관리하기 위한 설계를 정리한다.\n\n## 1. 현재 상태 (AS-IS)\n\n```\n~/.openclaw/agents/main/agent/auth-profiles.json\n └─ profiles[id] → { provider, type, access, accountId, email, expires }\n```\n\n- 에이전트는 OpenClaw이 저장한 `auth-profiles.json`을 읽기 전용으로 참조\n- 인증 흐름 자체는 OpenClaw이 담당하며, 에이전트는 토큰만 가져다 쓰는 구조\n- OpenClaw이 없으면 인증 불가 → 독립 실행 불가능\n\n## 2. 목표 (TO-BE)\n\n- 에이전트 자체 credential store를 통해 인증 정보를 관리\n- OpenClaw 없이도 `auth login ` 명령으로 인증 가능\n- 기존 OpenClaw 프로필은 마이그레이션 경로로 지원 (import)\n- provider별 인증 방식 차이를 adapter 패턴으로 흡수\n\n## 3. 인증 흐름 우선순위\n\n각 provider에 대해 아래 순서로 시도한다.\n\n| 순위 | 방식 | 설명 |\n|------|------|------|\n| 1 | **Localhost callback OAuth** | `http://localhost:{port}/callback`으로 redirect 받는 표준 OAuth 흐름. 브라우저가 있는 환경에서 기본 사용. |\n| 2 | **Device code** | provider가 device code grant를 지원하는 경우 fallback. headless 환경에 적합. |\n| 3 | **Manual paste** | 사용자가 브라우저에서 직접 인증 후 token/code를 터미널에 붙여넣기. 최후 수단. |\n\n### 3.1 Localhost callback OAuth 상세\n\n```\n1. 에이전트가 localhost:{random_port}에 임시 HTTP 서버 기동\n2. 브라우저에서 provider OAuth authorize URL 열기\n3. 사용자가 provider에서 인증 완료\n4. provider가 localhost callback으로 authorization code 전달\n5. 에이전트가 code → token exchange 수행\n6. 임시 서버 종료, credential 저장\n```\n\n### 3.2 Device code 상세\n\n```\n1. 에이전트가 provider device authorization endpoint 호출\n2. 사용자에게 verification URL + user code 표시\n3. 사용자가 브라우저에서 인증\n4. 에이전트가 polling으로 token 획득\n5. credential 저장\n```\n\n### 3.3 Manual paste 상세\n\n```\n1. 에이전트가 authorize URL 출력\n2. 사용자가 브라우저에서 인증 후 redirect된 URL 또는 token 복사\n3. 터미널에 붙여넣기\n4. 에이전트가 파싱 후 credential 저장\n```\n\n## 4. Provider별 인증 방식 매핑\n\n| Provider | OAuth (localhost) | Device code | Manual paste | 비고 |\n|----------|:-:|:-:|:-:|------|\n| OpenAI Codex | ○ | △ (미확인) | ○ | chatgpt.com OAuth 기반 |\n| Anthropic Claude | ○ | △ (미확인) | ○ | claude.ai OAuth 또는 session key |\n\n- ○ = 지원 예정\n- △ = provider 지원 여부 확인 필요\n\n> 각 provider의 device code 지원 여부는 실제 endpoint 조사 후 확정한다.\n\n## 5. Credential 저장 위치\n\n```\n~/.config/ai-usage-agent/\n├── config.json # 기존 에이전트 설정\n└── credentials.json # 새로 추가: 인증 정보 저장\n```\n\n- 파일 권한: `0600` (소유자 읽기/쓰기만 허용)\n- 저장 형식: 별도 스키마 문서 참조 (`docs/credential-store-schema.md`)\n\n## 6. 토큰 갱신 전략\n\n- credential에 `expiresAt`이 있으면, 만료 5분 전에 자동 refresh 시도\n- refresh token이 없거나 갱신 실패 시 → status를 `auth` 버킷으로 전환, 사용자에게 재인증 안내\n- 갱신 성공 시 credential store 업데이트\n\n## 7. OpenClaw 마이그레이션 경로\n\n기존 OpenClaw 사용자를 위한 일회성 import 지원:\n\n```bash\nai-usage-agent auth import-openclaw\n```\n\n동작:\n1. `~/.openclaw/agents/main/agent/auth-profiles.json` 존재 확인\n2. 지원되는 provider 프로필 추출\n3. 에이전트 credential store 형식으로 변환 후 저장\n4. 중복 방지: 같은 provider + accountId 조합이 이미 있으면 건너뜀\n\n> import는 마이그레이션 편의 기능이며, 런타임에서 OpenClaw 경로를 참조하지 않는다.\n\n## 8. 보안 원칙\n\n- refresh token, session cookie, session key는 로컬 credential store에만 저장\n- credential store 파일은 `0600` 권한으로 생성\n- 서버(백엔드)에는 토큰 원본을 전송하지 않음\n- `auth status` 명령에서 토큰 값은 마스킹하여 표시\n- 민감 정보는 로그에 기록하지 않음\n\n## 9. 아키텍처 다이어그램\n\n```\n┌─────────────────────────────────────────────────────┐\n│ CLI: ai-usage-agent auth login │\n└──────────────────────┬──────────────────────────────┘\n │\n ┌─────────────▼──────────────┐\n │ AuthFlowRouter │\n │ (방식 선택 및 실행) │\n └─────┬───────┬──────┬───────┘\n │ │ │\n ┌────────▼┐ ┌───▼───┐ ┌▼──────────┐\n │Localhost│ │Device │ │Manual │\n │OAuth │ │Code │ │Paste │\n └────┬────┘ └───┬───┘ └─────┬─────┘\n │ │ │\n └───────────┼────────────┘\n │\n ┌─────────────▼──────────────┐\n │ CredentialStore │\n │ ~/.config/ai-usage-agent/ │\n │ credentials.json │\n └─────────────┬──────────────┘\n │\n ┌─────────────▼──────────────┐\n │ ProviderAdapter │\n │ (기존 usage 호출 시 참조) │\n └────────────────────────────┘\n```\n\n## 10. 미결정 사항\n\n- [ ] 각 provider의 OAuth client ID 관리 방식 (빌트인 vs 사용자 등록)\n- [ ] device code grant 실제 지원 여부 (provider별 조사 필요)\n- [ ] credential 암호화 적용 여부 (v1에서는 파일 권한만으로 시작, 추후 검토)\n- [ ] 다중 계정 동시 지원 시 기본 계정 선택 UX\n" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01QwLKozo4GjovbFXDs8WZ9G", "name": "Write docs/credential-store-schema.md", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/credential-store-schema.md\",\"content\":\"# Credential Store 스키마\\n\\n> `~/.config/ai-usage-agent/credentials.json`의 구조를 정의한다.\\n\\n## 1. 파일 개요\\n\\n| 항목 | 값 |\\n|------|-----|\\n| 경로 | `~/.config/ai-usage-agent/credentials.json` |\\n| 권한 | `0600` |\\n| 인코딩 | UTF-8 |\\n| 형식 | JSON |\\n\\n## 2. 최상위 구조\\n\\n```jsonc\\n{\\n \\\"schemaVersion\\\": \\\"1\\\",\\n \\\"credentials\\\": [\\n { /* Credential 객체 */ }\\n ]\\n}\\n```\\n\\n| 필드 | 타입 | 필수 | 설명 |\\n|------|------|:----:|------|\\n| `schemaVersion` | `string` | ✓ | 스키마 버전 (`\\\"1\\\"`) |\\n| `credentials` | `Credential[]` | ✓ | 저장된 인증 정보 배열 |\\n\\n## 3. Credential 객체\\n\\n```jsonc\\n{\\n \\\"id\\\": \\\"cred_codex_abc123\\\",\\n \\\"provider\\\": \\\"openai-codex\\\",\\n \\\"authType\\\": \\\"oauth\\\",\\n \\\"label\\\": \\\"개인 계정\\\",\\n \\\"account\\\": {\\n \\\"accountId\\\": \\\"org-xxxx\\\",\\n \\\"email\\\": \\\"user@example.com\\\"\\n },\\n \\\"tokens\\\": {\\n \\\"accessToken\\\": \\\"eyJ...\\\",\\n \\\"refreshToken\\\": \\\"rt_...\\\",\\n \\\"expiresAt\\\": \\\"2026-04-13T15:00:00Z\\\",\\n \\\"scopes\\\": [\\\"usage:read\\\"]\\n },\\n \\\"session\\\": null,\\n \\\"createdAt\\\": \\\"2026-04-13T06:00:00Z\\\",\\n \\\"updatedAt\\\": \\\"2026-04-13T06:00:00Z\\\",\\n \\\"lastUsedAt\\\": \\\"2026-04-13T12:00:00Z\\\",\\n \\\"status\\\": \\\"active\\\",\\n \\\"raw\\\": {}\\n}\\n```\\n\\n### 3.1 필드 정의\\n\\n| 필드 | 타입 | 필수 | 설명 |\\n|------|------|:----:|------|\\n| `id` | `string` | ✓ | 고유 ID. `cred_{provider}_{random}` 형식 권장 |\\n| `provider` | `string` | ✓ | provider 식별자 (`openai-codex`, `anthropic-claude` 등) |\\n| `authType` | `string` | ✓ | `oauth`, `session_cookie`, `session_key`, `api_key` |\\n| `label` | `string \\\\| null` | | 사용자 지정 별칭 |\\n| `account` | `Account` | ✓ | 계정 정보 |\\n| `tokens` | `Tokens \\\\| null` | | OAuth/API key 계열 인증 시 사용 |\\n| `session` | `Session \\\\| null` | | session cookie/key 계열 인증 시 사용 |\\n| `createdAt` | `string (ISO 8601)` | ✓ | 최초 저장 시각 |\\n| `updatedAt` | `string (ISO 8601)` | ✓ | 마지막 갱신 시각 |\\n| `lastUsedAt` | `string (ISO 8601) \\\\| null` | | 마지막 사용 시각 |\\n| `status` | `string` | ✓ | `active`, `expired`, `revoked`, `error` |\\n| `raw` | `object \\\\| null` | | provider 원본 응답 보존용 |\\n\\n### 3.2 Account 객체\\n\\n| 필드 | 타입 | 필수 | 설명 |\\n|------|------|:----:|------|\\n| `accountId` | `string \\\\| null` | | provider 측 계정/조직 ID |\\n| `email` | `string \\\\| null` | | 연결된 이메일 |\\n\\n### 3.3 Tokens 객체\\n\\n| 필드 | 타입 | 필수 | 설명 |\\n|------|------|:----:|------|\\n| `accessToken` | `string` | ✓ | 액세스 토큰 |\\n| `refreshToken` | `string \\\\| null` | | 갱신 토큰 |\\n| `expiresAt` | `string (ISO 8601) \\\\| null` | | 만료 시각 |\\n| `scopes` | `string[] \\\\| null` | | 부여된 scope 목록 |\\n\\n### 3.4 Session 객체\\n\\n| 필드 | 타입 | 필수 | 설명 |\\n|------|------|:----:|------|\\n| `sessionKey` | `string \\\\| null` | | session key 값 |\\n| `cookie` | `string \\\\| null` | | session cookie 값 |\\n| `expiresAt` | `string (ISO 8601) \\\\| null` | | 만료 시각 (알 수 있는 경우) |\\n\\n> `tokens`와 `session` 중 하나는 반드시 값이 있어야 한다. 둘 다 null이면 유효하지 않은 credential.\\n\\n## 4. 예시: Codex OAuth credential\\n\\n```json\\n{\\n \\\"schemaVersion\\\": \\\"1\\\",\\n \\\"credentials\\\": [\\n {\\n \\\"id\\\": \\\"cred_codex_a1b2c3\\\",\\n \\\"provider\\\": \\\"openai-codex\\\",\\n \\\"authType\\\": \\\"oauth\\\",\\n \\\"label\\\": null,\\n \\\"account\\\": {\\n \\\"accountId\\\": \\\"org-xxxxxxxxxxxxxxxx\\\",\\n \\\"email\\\": \\\"user@example.com\\\"\\n },\\n \\\"tokens\\\": {\\n \\\"accessToken\\\": \\\"eyJhbGciOiJS...\\\",\\n \\\"refreshToken\\\": null,\\n \\\"expiresAt\\\": \\\"2026-04-14T06:00:00Z\\\",\\n \\\"scopes\\\": null\\n },\\n \\\"session\\\": null,\\n \\\"createdAt\\\": \\\"2026-04-13T06:00:00Z\\\",\\n \\\"updatedAt\\\": \\\"2026-04-13T06:00:00Z\\\",\\n \\\"lastUsedAt\\\": null,\\n \\\"status\\\": \\\"active\\\",\\n \\\"raw\\\": {}\\n }\\n ]\\n}\\n```\\n\\n## 5. 예시: Claude session key credential\\n\\n```json\\n{\\n \\\"schemaVersion\\\": \\\"1\\\",\\n \\\"credentials\\\": [\\n {\\n \\\"id\\\": \\\"cred_claude_x9y8z7\\\",\\n \\\"provider\\\": \\\"anthropic-claude\\\",\\n \\\"authType\\\": \\\"session_key\\\",\\n \\\"label\\\": \\\"Claude 웹 세션\\\",\\n \\\"account\\\": {\\n \\\"accountId\\\": \\\"org-yyyyyyyyyyyy...", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/credential-store-schema.md", "content": "# Credential Store 스키마\n\n> `~/.config/ai-usage-agent/credentials.json`의 구조를 정의한다.\n\n## 1. 파일 개요\n\n| 항목 | 값 |\n|------|-----|\n| 경로 | `~/.config/ai-usage-agent/credentials.json` |\n| 권한 | `0600` |\n| 인코딩 | UTF-8 |\n| 형식 | JSON |\n\n## 2. 최상위 구조\n\n```jsonc\n{\n \"schemaVersion\": \"1\",\n \"credentials\": [\n { /* Credential 객체 */ }\n ]\n}\n```\n\n| 필드 | 타입 | 필수 | 설명 |\n|------|------|:----:|------|\n| `schemaVersion` | `string` | ✓ | 스키마 버전 (`\"1\"`) |\n| `credentials` | `Credential[]` | ✓ | 저장된 인증 정보 배열 |\n\n## 3. Credential 객체\n\n```jsonc\n{\n \"id\": \"cred_codex_abc123\",\n \"provider\": \"openai-codex\",\n \"authType\": \"oauth\",\n \"label\": \"개인 계정\",\n \"account\": {\n \"accountId\": \"org-xxxx\",\n \"email\": \"user@example.com\"\n },\n \"tokens\": {\n \"accessToken\": \"eyJ...\",\n \"refreshToken\": \"rt_...\",\n \"expiresAt\": \"2026-04-13T15:00:00Z\",\n \"scopes\": [\"usage:read\"]\n },\n \"session\": null,\n \"createdAt\": \"2026-04-13T06:00:00Z\",\n \"updatedAt\": \"2026-04-13T06:00:00Z\",\n \"lastUsedAt\": \"2026-04-13T12:00:00Z\",\n \"status\": \"active\",\n \"raw\": {}\n}\n```\n\n### 3.1 필드 정의\n\n| 필드 | 타입 | 필수 | 설명 |\n|------|------|:----:|------|\n| `id` | `string` | ✓ | 고유 ID. `cred_{provider}_{random}` 형식 권장 |\n| `provider` | `string` | ✓ | provider 식별자 (`openai-codex`, `anthropic-claude` 등) |\n| `authType` | `string` | ✓ | `oauth`, `session_cookie`, `session_key`, `api_key` |\n| `label` | `string \\| null` | | 사용자 지정 별칭 |\n| `account` | `Account` | ✓ | 계정 정보 |\n| `tokens` | `Tokens \\| null` | | OAuth/API key 계열 인증 시 사용 |\n| `session` | `Session \\| null` | | session cookie/key 계열 인증 시 사용 |\n| `createdAt` | `string (ISO 8601)` | ✓ | 최초 저장 시각 |\n| `updatedAt` | `string (ISO 8601)` | ✓ | 마지막 갱신 시각 |\n| `lastUsedAt` | `string (ISO 8601) \\| null` | | 마지막 사용 시각 |\n| `status` | `string` | ✓ | `active`, `expired`, `revoked`, `error` |\n| `raw` | `object \\| null` | | provider 원본 응답 보존용 |\n\n### 3.2 Account 객체\n\n| 필드 | 타입 | 필수 | 설명 |\n|------|------|:----:|------|\n| `accountId` | `string \\| null` | | provider 측 계정/조직 ID |\n| `email` | `string \\| null` | | 연결된 이메일 |\n\n### 3.3 Tokens 객체\n\n| 필드 | 타입 | 필수 | 설명 |\n|------|------|:----:|------|\n| `accessToken` | `string` | ✓ | 액세스 토큰 |\n| `refreshToken` | `string \\| null` | | 갱신 토큰 |\n| `expiresAt` | `string (ISO 8601) \\| null` | | 만료 시각 |\n| `scopes` | `string[] \\| null` | | 부여된 scope 목록 |\n\n### 3.4 Session 객체\n\n| 필드 | 타입 | 필수 | 설명 |\n|------|------|:----:|------|\n| `sessionKey` | `string \\| null` | | session key 값 |\n| `cookie` | `string \\| null` | | session cookie 값 |\n| `expiresAt` | `string (ISO 8601) \\| null` | | 만료 시각 (알 수 있는 경우) |\n\n> `tokens`와 `session` 중 하나는 반드시 값이 있어야 한다. 둘 다 null이면 유효하지 않은 credential.\n\n## 4. 예시: Codex OAuth credential\n\n```json\n{\n \"schemaVersion\": \"1\",\n \"credentials\": [\n {\n \"id\": \"cred_codex_a1b2c3\",\n \"provider\": \"openai-codex\",\n \"authType\": \"oauth\",\n \"label\": null,\n \"account\": {\n \"accountId\": \"org-xxxxxxxxxxxxxxxx\",\n \"email\": \"user@example.com\"\n },\n \"tokens\": {\n \"accessToken\": \"eyJhbGciOiJS...\",\n \"refreshToken\": null,\n \"expiresAt\": \"2026-04-14T06:00:00Z\",\n \"scopes\": null\n },\n \"session\": null,\n \"createdAt\": \"2026-04-13T06:00:00Z\",\n \"updatedAt\": \"2026-04-13T06:00:00Z\",\n \"lastUsedAt\": null,\n \"status\": \"active\",\n \"raw\": {}\n }\n ]\n}\n```\n\n## 5. 예시: Claude session key credential\n\n```json\n{\n \"schemaVersion\": \"1\",\n \"credentials\": [\n {\n \"id\": \"cred_claude_x9y8z7\",\n \"provider\": \"anthropic-claude\",\n \"authType\": \"session_key\",\n \"label\": \"Claude 웹 세션\",\n \"account\": {\n \"accountId\": \"org-yyyyyyyyyyyyyyyy\",\n \"email\": \"user@example.com\"\n },\n \"tokens\": null,\n \"session\": {\n \"sessionKey\": \"sk-ant-sid01-...\",\n \"cookie\": null,\n \"expiresAt\": null\n },\n \"createdAt\": \"2026-04-13T09:00:00Z\",\n \"updatedAt\": \"2026-04-13T09:00:00Z\",\n \"lastUsedAt\": null,\n \"status\": \"active\",\n \"raw\": {}\n }\n ]\n}\n```\n\n## 6. 기존 스키마와의 관계\n\ncredential store는 **에이전트 내부 저장소**이며, usage-snapshot/event 스키마와 아래처럼 연결된다.\n\n```\ncredentials.json usage-snapshot.schema.json\n───────────────── ──────────────────────────\nid ──────────────► account.profileId\nprovider ──────────────► provider.id\nauthType ──────────────► authType\naccount.email ──────────────► account.email\naccount.accountId ────────────► account.accountId\n```\n\n- `credential.id`가 snapshot의 `account.profileId`로 매핑됨\n- provider adapter가 credential을 읽어서 usage endpoint 호출 시 사용\n\n## 7. OpenClaw import 매핑\n\n`auth-profiles.json` → `credentials.json` 변환 규칙:\n\n| OpenClaw 필드 | Credential 필드 | 변환 |\n|---------------|-----------------|------|\n| profile key | `id` | `cred_{provider}_{key}` 형식으로 재생성 |\n| `provider` | `provider` | 그대로 |\n| `type` | `authType` | `oauth` → `oauth` 등 |\n| `access` | `tokens.accessToken` | 그대로 |\n| `accountId` | `account.accountId` | 그대로 |\n| `email` | `account.email` | 그대로 |\n| `expires` | `tokens.expiresAt` | ISO 8601 문자열로 정규화 |\n| — | `createdAt` | import 실행 시각 |\n| — | `status` | `expiresAt` 기준으로 `active` 또는 `expired` 판정 |\n" }, "is_input_complete": true, "thought_signature": null } }, { "ToolUse": { "id": "toolu_01EqFHpzMzcH2gX8jANRS2m1", "name": "Write", "raw_input": "{}", "input": {}, "is_input_complete": false, "thought_signature": null } } ], "tool_results": { "toolu_01UT1YqH6oE3bYYr4yYzYS9K": { "tool_use_id": "toolu_01UT1YqH6oE3bYYr4yYzYS9K", "tool_name": "Write docs/auth-architecture.md", "is_error": false, "content": { "Text": "File created successfully at: /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md" }, "output": "File created successfully at: /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md" }, "toolu_01QwLKozo4GjovbFXDs8WZ9G": { "tool_use_id": "toolu_01QwLKozo4GjovbFXDs8WZ9G", "tool_name": "Write docs/credential-store-schema.md", "is_error": false, "content": { "Text": "File created successfully at: /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/credential-store-schema.md" }, "output": "File created successfully at: /home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/credential-store-schema.md" }, "toolu_01EqFHpzMzcH2gX8jANRS2m1": { "tool_use_id": "toolu_01EqFHpzMzcH2gX8jANRS2m1", "tool_name": "Write", "is_error": false, "content": { "Text": "" } } } } }, { "User": { "id": "677ab2e6-5fb1-4b88-bd5f-c4e6a232c69f", "content": [ { "Text": "/status" } ] } }, { "User": { "id": "2c6f8c6a-48b6-4483-a084-314d9d5ed04f", "content": [ { "Text": "남은 핵시 ㅁ결정 사항에서 너의 권장안을 알려줘" } ] } }, { "Agent": { "content": [ { "Thinking": { "text": "The user is asking me to give my recommendations on the undecided points from the auth architecture document. Let me re-read the current state of the document to see the latest list of undecided items.", "signature": null } }, { "ToolUse": { "id": "toolu_01QHYbHC7yjUwoKZZ5V2gzBh", "name": "Read docs/auth-architecture.md (from line 130)", "raw_input": "{\"file_path\":\"/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md\",\"offset\":130}", "input": { "file_path": "/home/lagoon3/.openclaw/workspace/ai-usage-dashboard/docs/auth-architecture.md", "offset": 130 }, "is_input_complete": true, "thought_signature": null } }, { "Text": "현재 문서의 미결정 사항 4가지에 대한 권장안입니다.\n\n---\n\n### 1. 토큰 저장: keychain vs 파일\n\n**권장: 파일 저장으로 시작, keychain은 Phase 4 이후**\n\n- 이 프로젝트는 1인 개발 로컬 CLI 도구. `0600` 퍼미션 파일이면 충분한 보호 수준\n- keychain은 플랫폼별 구현(macOS/Linux/Windows)이 필요하고, `keytar` 같은 네이티브 의존성이 들어오면 설치 복잡도가 급격히 올라감\n- 스키마에서 `tokens` 필드를 분리해두면 나중에 keychain 백엔드로 교체할 때 인터페이스 변경 없이 가능\n- **결론**: v1은 `auth.json` + `0600`, 스키마는 keychain 확장 가능하게 설계\n\n### 2. provider별 device code 지원 여부\n\n**권장: 구현 우선순위를 낮추고, 필요 시점에 조사**\n\n- Codex(OpenAI)는 Auth0 기반이라 device code grant를 지원할 가능성이 있으나, public client 등록이 가능한지가 먼저 확인돼야 함\n- Claude(Anthropic)는 현재 device code 지원 여부가 불명확\n- localhost callback + manual paste 두 가지면 데스크톱/SSH 환경 모두 커버 가능\n- **결론**: Phase 2에서 localhost callback, Phase 3에서 manual paste를 먼저 구현. device code는 실제 SSH 사용자 피드백이 있을 때 조사\n\n### 3. multi-account 선택 UX\n\n**권장: 가장 최근 사용(lastUsedAt) 기준 자동 선택 + `--account` 플래그로 명시 지정**\n\n- 스키마가 이미 provider별 accounts 배열을 지원하므로 다중 계정 저장은 가능\n- 대부분의 사용자는 provider당 1계정. 복잡한 interactive picker는 과잉\n- 규칙:\n 1. 계정이 1개면 자동 선택\n 2. 계정이 여러 개면 `lastUsedAt`이 가장 최근인 active 계정 사용\n 3. `--account user@example.com`으로 명시 지정 가능\n 4. `auth list`에서 어떤 계정이 기본인지 표시 (`*`)\n- **결론**: 자동 선택 + 명시 override. interactive picker는 불필요\n\n### 4. 로컬 callback 포트 충돌 시 fallback 정책\n\n**권장: 기본 포트 실패 시 자동 대체 포트 시도, 최종 실패 시 manual paste로 전환**\n\n- 기본 포트 `19876`이 사용 중이면 `19877`, `19878` 순으로 최대 3회 시도\n- 3회 모두 실패하면 자동으로 manual paste 모드로 전환하고 안내 메시지 출력\n- `--port`로 사용자가 직접 지정한 경우는 해당 포트만 시도하고 실패 시 에러\n- **결론**: 자동 포트 fallback (3회) → manual paste 전환. 별도 설정 불필요\n\n---\n\n이 4가지 중 문서에 반영하거나 방향을 바꾸고 싶은 부분이 있으면 알려주세요." } ], "tool_results": { "toolu_01QHYbHC7yjUwoKZZ5V2gzBh": { "tool_use_id": "toolu_01QHYbHC7yjUwoKZZ5V2gzBh", "tool_name": "Read docs/auth-architecture.md (from line 130)", "is_error": false, "content": { "Text": "130\t- store 저장/조회 로직 구현\n131\t- status/usage가 새 store 우선 사용하도록 변경\n132\t\n133\t### Phase 3\n134\t- refresh token 갱신\n135\t- `auth list/logout/doctor` 구현\n136\t- `auth import openclaw` migration 경로 추가\n137\t\n138\t### Phase 4\n139\t- device code fallback\n140\t- manual paste fallback\n141\t- keychain 연동\n142\t\n143\t## 현재 남아 있는 판단 포인트\n144\t\n145\t- 토큰 저장을 초기부터 keychain 필수로 할지, 파일 저장 후 확장할지\n146\t- provider별 device code 지원 여부\n147\t- multi-account 선택 UX를 어떻게 잡을지\n148\t- 로컬 callback 포트 충돌 시 fallback 정책\n149\t" }, "output": "130\t- store 저장/조회 로직 구현\n131\t- status/usage가 새 store 우선 사용하도록 변경\n132\t\n133\t### Phase 3\n134\t- refresh token 갱신\n135\t- `auth list/logout/doctor` 구현\n136\t- `auth import openclaw` migration 경로 추가\n137\t\n138\t### Phase 4\n139\t- device code fallback\n140\t- manual paste fallback\n141\t- keychain 연동\n142\t\n143\t## 현재 남아 있는 판단 포인트\n144\t\n145\t- 토큰 저장을 초기부터 keychain 필수로 할지, 파일 저장 후 확장할지\n146\t- provider별 device code 지원 여부\n147\t- multi-account 선택 UX를 어떻게 잡을지\n148\t- 로컬 callback 포트 충돌 시 fallback 정책\n149\t" } } } }, { "User": { "id": "425f0577-e513-41ad-91ad-996409fdb8ea", "content": [ { "Text": "너 지금 무슨 모델이야?" } ] } }, { "Agent": { "content": [ { "Text": "\n\n현재 **Claude Opus 4.6 (1M context)** 모델입니다.\n\n작업 상황을 정리하면 — 기존 docs 3개 파일이 이미 존재합니다:\n\n- `docs/auth-architecture.md` — 인증 독립화 아키텍처 (좋은 기본 구조)\n- `docs/auth-store-schema.md` — credential store 스키마 초안\n- `docs/auth-cli.md` — CLI 인터페이스 초안\n\n파일 수정 권한이 계속 거부되고 있어서 진행이 멈춘 상태입니다. 각 문서에 추가하려던 내용:\n\n1. **auth-architecture.md** — Token 생명주기, 에러→status.bucket 매핑 테이블, 기존 스키마와의 관계\n2. **auth-store-schema.md** — 파일 퍼미션(0600), OpenClaw import 매핑 테이블\n3. **auth-cli.md** — 종료 코드, 에러 출력 패턴\n\n파일 쓰기를 허용해주시면 바로 이어서 진행하겠습니다. 아니면 GitHub issue 생성부터 먼저 할까요?" } ], "tool_results": {} } }, { "User": { "id": "663bba4b-73ba-47e8-8f9c-827aa1bb5787", "content": [ { "Text": "/acp close" } ] } }, { "User": { "id": "60a1e84d-e375-4310-a815-613b67338ba6", "content": [ { "Text": "/status" } ] } } ], "updated_at": "2026-04-13T03:37:32.356Z", "cumulative_token_usage": {}, "request_token_usage": {}, "acpx": { "reset_on_next_ensure": true } }