tool: Glob

output: {"filenames": ["/root/vault/obsidian_vault/obsidian/obsidian/auto_report/2026-03-24.md"], "durationMs": 43, "numFiles": 1, "truncated": false}


tool: Read

output: {"type": "text", "file": {"filePath": "/root/projects/ai_usecases_explorer/src/ai_usecases_explorer/settings.py", "content": "\"\"\"Application settings loaded from environment / .env file.\"\"\"\nfrom pathlib import Path\n\nfrom pydantic import Field\nfrom pydantic_settings import BaseSettings, SettingsConfigDict\n\n\nclass Settings(BaseSettings):\n    \"\"\"All configuration is read from environment variables or a .env file.\"\"\"\n\n    model_config = SettingsConfigDict(env_file=\".env\", env_file_encoding=\"utf-8\", extra=\"ignore\")\n\n    anthropic_api_key: str = Field(default=\"\", alias=\"ANTHROPIC_API_KEY\")\n    anthropic_base_url: str = Field(default=\"\", alias=\"ANTHROPIC_BASE_URL\")\n    claude_model: str = Field(default=\"claude-haiku-4-5-20251001\", alias=\"CLAUDE_MODEL\")\n\n    db_path: Path = Field(default=Path(\"data/usecases.db\"), alias=\"DB_PATH\")\n    obsidian_report_dir: Path = Field(\n        default=Path(\"/root/vault/obsidian_vault/obsidian/obsidian/auto_report\"),\n        alias=\"OBSIDIAN_REPORT_DIR\",\n    )\n\n    hn_min_points: int = Field(default=10, alias=\"HN_MIN_POINTS\")\n\n    exa_api_key: str = Field(default=\"\", alias=\"EXA_API_KEY\")\n    reddit_subreddits: list[str] = Field(\n        default=[\"openclaw\", \"vibecoding\", \"ClaudeCode\", \"singularity\"],\n        alias=\"REDDIT_SUBREDDITS\",\n    )\n\n    github_token: str = Field(default=\"\", alias=\"GITHUB_TOKEN\")\n    github_min_stars: int = Field(default=10, alias=\"GITHUB_MIN_STARS\")\n\n    # Cap LLM calls per run to keep runtime under ~5 minutes\n    max_items_per_run: int = Field(default=80, alias=\"MAX_ITEMS_PER_RUN\")\n\n    deep_dive_report_dir: Path = Field(\n        default=Path(\"/root/vault/obsidian_vault/obsidian/obsidian/auto_report/deep-dive\"),\n        alias=\"DEEP_DIVE_REPORT_DIR\",\n    )\n    deep_dive_model: str = Field(\n        default=\"claude-sonnet-4-6\",\n        alias=\"DEEP_DIVE_MODEL\",\n    )\n", "numLines": 45, "startLine": 1, "totalLines": 45}}


tool: Bash

output: {"stdout": "2026-02-27.md\n2026-03-01.md\n2026-03-02.md\n2026-03-03.md\n2026-03-04.md\n2026-03-05.md\n2026-03-06.md\n2026-03-07.md\n2026-03-08.md\n2026-03-09.md\n2026-03-10.md\n2026-03-11.md\n2026-03-12.md\n2026-03-13.md\n2026-03-14.md\n2026-03-15.md\n2026-03-16.md\n2026-03-17.md\n2026-03-18.md\n2026-03-19.md\n2026-03-20.md\n2026-03-21.md\n2026-03-22.md\n2026-03-23.md\n2026-03-24.md\ndeep-dive", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}


output: {"stdout": "2026-03-03.md\naccounts\nAI\nAI.md\nAppleNotes\nArticle\nattachments\nauto_report\nCLAW\nClippings\ndaily\nDRAFT.md\nfeelings\nIMG_0883.png\nIMG_0884.png\ninfo\nmd\nnotes\nobsidian\nPasted image 20260115100609.png\nPasted image 20260204175955.png\npresentation-workspace\nzhihu\n\u5de5\u4f5c\u8bb0\u5f55\n\u5f55\u97f3\u8bb0\u5f55\n\u5fc5\u5907\u77e5\u8bc6\n\u6587\u4ef6\u6811.base\n\u672a\u547d\u540d.base\n\u79c1\u4eba\n\u82f1\u8bed\u5b66\u4e60", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}


output: {"stdout": "2026-02-27.md\n2026-03-01.md\n2026-03-02.md\n2026-03-03.md\n2026-03-04.md\n2026-03-05.md\n2026-03-06.md\n2026-03-07.md\n2026-03-08.md\n2026-03-09.md\n2026-03-10.md\n2026-03-11.md\n2026-03-12.md\n2026-03-13.md\n2026-03-14.md\n2026-03-15.md\n2026-03-16.md\n2026-03-17.md\n2026-03-18.md\n2026-03-19.md\n2026-03-20.md\n2026-03-21.md\n2026-03-22.md\ndeep-dive\n---exists---", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}


output: {"stdout": "", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}


output: {"stdout": "", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": true}


tool: Edit

output: {"filePath": "/root/projects/ai_usecases_explorer/src/ai_usecases_explorer/settings.py", "oldString": "        default=Path(\"/root/vault/obsidian_vault/obsidian/obsidian/auto_report\"),\n        alias=\"OBSIDIAN_REPORT_DIR\",", "newString": "        default=Path(\"/root/vault/obsidian_vault/obsidian/Documents/obsidian/auto_report\"),\n        alias=\"OBSIDIAN_REPORT_DIR\",", "originalFile": "\"\"\"Application settings loaded from environment / .env file.\"\"\"\nfrom pathlib import Path\n\nfrom pydantic import Field\nfrom pydantic_settings import BaseSettings, SettingsConfigDict\n\n\nclass Settings(BaseSettings):\n    \"\"\"All configuration is read from environment variables or a .env file.\"\"\"\n\n    model_config = SettingsConfigDict(env_file=\".env\", env_file_encoding=\"utf-8\", extra=\"ignore\")\n\n    anthropic_api_key: str = Field(default=\"\", alias=\"ANTHROPIC_API_KEY\")\n    anthropic_base_url: str = Field(default=\"\", alias=\"ANTHROPIC_BASE_URL\")\n    claude_model: str = Field(default=\"claude-haiku-4-5-20251001\", alias=\"CLAUDE_MODEL\")\n\n    db_path: Path = Field(default=Path(\"data/usecases.db\"), alias=\"DB_PATH\")\n    obsidian_report_dir: Path = Field(\n        default=Path(\"/root/vault/obsidian_vault/obsidian/obsidian/auto_report\"),\n        alias=\"OBSIDIAN_REPORT_DIR\",\n    )\n\n    hn_min_points: int = Field(default=10, alias=\"HN_MIN_POINTS\")\n\n    exa_api_key: str = Field(default=\"\", alias=\"EXA_API_KEY\")\n    reddit_subreddits: list[str] = Field(\n        default=[\"openclaw\", \"vibecoding\", \"ClaudeCode\", \"singularity\"],\n        alias=\"REDDIT_SUBREDDITS\",\n    )\n\n    github_token: str = Field(default=\"\", alias=\"GITHUB_TOKEN\")\n    github_min_stars: int = Field(default=10, alias=\"GITHUB_MIN_STARS\")\n\n    # Cap LLM calls per run to keep runtime under ~5 minutes\n    max_items_per_run: int = Field(default=80, alias=\"MAX_ITEMS_PER_RUN\")\n\n    deep_dive_report_dir: Path = Field(\n        default=Path(\"/root/vault/obsidian_vault/obsidian/obsidian/auto_report/deep-dive\"),\n        alias=\"DEEP_DIVE_REPORT_DIR\",\n    )\n    deep_dive_model: str = Field(\n        default=\"claude-sonnet-4-6\",\n        alias=\"DEEP_DIVE_MODEL\",\n    )\n", "structuredPatch": [{"oldStart": 16, "oldLines": 7, "newStart": 16, "newLines": 7, "lines": [" ", "     db_path: Path = Field(default=Path(\"data/usecases.db\"), alias=\"DB_PATH\")", "     obsidian_report_dir: Path = Field(", "-        default=Path(\"/root/vault/obsidian_vault/obsidian/obsidian/auto_report\"),", "+        default=Path(\"/root/vault/obsidian_vault/obsidian/Documents/obsidian/auto_report\"),", "         alias=\"OBSIDIAN_REPORT_DIR\",", "     )", " "]}], "userModified": false, "replaceAll": false}


output: {"filePath": "/root/projects/ai_usecases_explorer/src/ai_usecases_explorer/settings.py", "oldString": "        default=Path(\"/root/vault/obsidian_vault/obsidian/obsidian/auto_report/deep-dive\"),\n        alias=\"DEEP_DIVE_REPORT_DIR\",", "newString": "        default=Path(\"/root/vault/obsidian_vault/obsidian/Documents/obsidian/auto_report/deep-dive\"),\n        alias=\"DEEP_DIVE_REPORT_DIR\",", "originalFile": "\"\"\"Application settings loaded from environment / .env file.\"\"\"\nfrom pathlib import Path\n\nfrom pydantic import Field\nfrom pydantic_settings import BaseSettings, SettingsConfigDict\n\n\nclass Settings(BaseSettings):\n    \"\"\"All configuration is read from environment variables or a .env file.\"\"\"\n\n    model_config = SettingsConfigDict(env_file=\".env\", env_file_encoding=\"utf-8\", extra=\"ignore\")\n\n    anthropic_api_key: str = Field(default=\"\", alias=\"ANTHROPIC_API_KEY\")\n    anthropic_base_url: str = Field(default=\"\", alias=\"ANTHROPIC_BASE_URL\")\n    claude_model: str = Field(default=\"claude-haiku-4-5-20251001\", alias=\"CLAUDE_MODEL\")\n\n    db_path: Path = Field(default=Path(\"data/usecases.db\"), alias=\"DB_PATH\")\n    obsidian_report_dir: Path = Field(\n        default=Path(\"/root/vault/obsidian_vault/obsidian/Documents/obsidian/auto_report\"),\n        alias=\"OBSIDIAN_REPORT_DIR\",\n    )\n\n    hn_min_points: int = Field(default=10, alias=\"HN_MIN_POINTS\")\n\n    exa_api_key: str = Field(default=\"\", alias=\"EXA_API_KEY\")\n    reddit_subreddits: list[str] = Field(\n        default=[\"openclaw\", \"vibecoding\", \"ClaudeCode\", \"singularity\"],\n        alias=\"REDDIT_SUBREDDITS\",\n    )\n\n    github_token: str = Field(default=\"\", alias=\"GITHUB_TOKEN\")\n    github_min_stars: int = Field(default=10, alias=\"GITHUB_MIN_STARS\")\n\n    # Cap LLM calls per run to keep runtime under ~5 minutes\n    max_items_per_run: int = Field(default=80, alias=\"MAX_ITEMS_PER_RUN\")\n\n    deep_dive_report_dir: Path = Field(\n        default=Path(\"/root/vault/obsidian_vault/obsidian/obsidian/auto_report/deep-dive\"),\n        alias=\"DEEP_DIVE_REPORT_DIR\",\n    )\n    deep_dive_model: str = Field(\n        default=\"claude-sonnet-4-6\",\n        alias=\"DEEP_DIVE_MODEL\",\n    )\n", "structuredPatch": [{"oldStart": 35, "oldLines": 7, "newStart": 35, "newLines": 7, "lines": ["     max_items_per_run: int = Field(default=80, alias=\"MAX_ITEMS_PER_RUN\")", " ", "     deep_dive_report_dir: Path = Field(", "-        default=Path(\"/root/vault/obsidian_vault/obsidian/obsidian/auto_report/deep-dive\"),", "+        default=Path(\"/root/vault/obsidian_vault/obsidian/Documents/obsidian/auto_report/deep-dive\"),", "         alias=\"DEEP_DIVE_REPORT_DIR\",", "     )", "     deep_dive_model: str = Field("]}], "userModified": false, "replaceAll": false}


output: {"type": "text", "file": {"filePath": "/root/.claude/projects/-root-projects-ai-usecases-explorer/memory/MEMORY.md", "content": "# Project Memory: ai_usecases_explorer\n\n## Status\n**v1.4 fully implemented** \u2014 162 tests pass, ruff clean. Deep Dive module enhanced with citation, bias, credibility breakdown, and synthesis features.\n\n## Project Layout\n```\nsrc/ai_usecases_explorer/\n  models/usecase.py       \u2014 Pydantic UseCase, ScenarioType (StrEnum), Novelty (StrEnum), make_id()\n  storage/database.py     \u2014 SQLite CRUD: save/exists/get_by_scenario/get_recent\n  collectors/base.py      \u2014 RawItem dataclass + BaseCollector ABC\n  collectors/hackernews.py \u2014 HN Algolia search_by_date, 12 keywords (one query each), dedup\n  collectors/reddit.py    \u2014 Exa.ai SDK (exa_py), include_domains=[\"reddit.com\"], past 24h, 4 queries\n  collectors/github.py    \u2014 GitHub Search API, 8 topics (one query each), dedup\n  processors/filter.py    \u2014 ValueFilter (Claude Step 1)\n  processors/classifier.py \u2014 Classifier (Claude Step 2)\n  processors/deduplicator.py \u2014 Deduplicator (Claude Step 3)\n  processors/utils.py     \u2014 parse_llm_json() strips markdown fences before JSON parse\n  reporters/obsidian.py   \u2014 Markdown report writer\n  deep_dive/              \u2014 Deep Dive skill (on-demand analysis)\n    models.py             \u2014 ArticleContent, StructuralAnalysis (+ LogicalQuality), ResearchResults (FactCheck + source_authority), MultiPerspectiveEvaluation (+ cited args, bias indicators, credibility breakdown, core disputes, synthesis, assessed_fact_checks), DeepDiveReport\n    fetcher.py            \u2014 ContentFetcher: fetch_url(httpx+Exa fallback) + from_text()\n    analyzer.py           \u2014 StructuralAnalyzer: Claude, extracts argument structure (all Chinese output)\n    researcher.py         \u2014 WebResearcher: Exa.ai 4-category search (no autoprompt param)\n    evaluator.py          \u2014 MultiPerspectiveEvaluator: Claude, pro/con/neutral + credibility (all Chinese)\n    reporter.py           \u2014 DeepDiveReporter: Markdown report \u2192 Obsidian deep-dive subdir\n    cli.py                \u2014 DeepDiveOrchestrator + argparse CLI; prints REPORT_PATH: line for parsing\n  settings.py             \u2014 pydantic-settings; deep_dive_report_dir + deep_dive_model fields\n  main.py                 \u2014 Scout orchestrator class + main() CLI\n.claude/commands/deep-dive.md \u2014 /deep-dive slash command (saves to Obsidian by default)\n.claude/commands/ai-scout.md  \u2014 /ai-scout slash command (daily scan)\nSKILLS.md                \u2014 Full usage guide for all skills (Chinese)\ntests/                   \u2014 TDD tests for all modules (pytest-httpx mocks + unittest.mock for Exa)\n```\n\n## CLI Entry Points (no venv activation needed)\n- `ai-scout` \u2014 daily scan (registered in pyproject.toml + /usr/local/bin wrapper)\n- `ai-deep-dive` \u2014 deep dive analysis (registered in pyproject.toml + /usr/local/bin wrapper)\n\n## Key Architectural Decisions\n- Each LLM call has `run()` and `_call_llm()` methods; tests mock `_call_llm` at the class level\n- `Novelty` and `ScenarioType` enum mapping from string \u2192 enum happens in `run()`, not `_call_llm()`\n- Deduplicator skips LLM call when `existing=[]` (returns NEW directly)\n- Algolia ANDs multi-word queries: use ONE query per keyword (_KEYWORDS list, 12 terms)\n- GitHub Search API: `topic:X OR topic:Y` causes 422; use ONE query per topic (_TOPICS, 8 topics)\n- Reddit replaced from OAuth2 to Exa.ai SDK (exa_py v2.6.0+); tests use `unittest.mock.patch`\n- Haiku wraps JSON in markdown fences despite instructions; parse_llm_json() strips them\n- `max_items_per_run=80` caps LLM calls per run (configurable via MAX_ITEMS_PER_RUN env)\n- `ruff` per-file-ignores: `tests/*` + `deep_dive/evaluator.py` + `deep_dive/analyzer.py` ignore E501 (long Chinese prompt strings)\n- deep_dive: analyzer + evaluator prompts have explicit \u3010\u8bed\u8a00\u8981\u6c42\u3011Chinese-output instruction\n- deep_dive: fetcher falls back to Exa.ai get_contents() on 403/4xx (Cloudflare sites)\n- deep_dive: Exa search_and_contents does NOT support `autoprompt` param \u2014 omit it\n- deep_dive: cli prints `REPORT_PATH:<path>` for slash command to parse\n- deep_dive model configured via `DEEP_DIVE_MODEL` env var (default: claude-sonnet-4-6)\n\n## Running\n```bash\n# Tests\nsource venv/bin/activate && pytest tests/ -v   # 162 tests\n\n# Daily scout\nai-scout\nai-scout --dry-run\n\n# Deep dive\nai-deep-dive --url https://...\nai-deep-dive --url https://... --dry-run\n```\n\n## Required .env keys\n- `ANTHROPIC_API_KEY` + optionally `ANTHROPIC_BASE_URL` for proxy\n- `EXA_API_KEY` \u2014 Exa.ai API key for Reddit search + Deep Dive research\n- `GITHUB_TOKEN` optional (increases rate limit from 60 to 5000 req/hr)\n- `DEEP_DIVE_MODEL` optional (default: claude-sonnet-4-6; set to haiku if proxy overloaded)\n- `DEEP_DIVE_REPORT_DIR` optional (de


output: {"filePath": "/root/.claude/projects/-root-projects-ai-usecases-explorer/memory/MEMORY.md", "oldString": "## Obsidian Report Paths\n- Daily: `/root/vault/obsidian_vault/obsidian/obsidian/auto_report/YYYY-MM-DD.md`\n- Deep Dive: `/root/vault/obsidian_vault/obsidian/obsidian/auto_report/deep-dive/YYYY-MM-DD-HHMM-slug.md`", "newString": "## Obsidian Report Paths\n- Daily: `/root/vault/obsidian_vault/obsidian/Documents/obsidian/auto_report/YYYY-MM-DD.md`\n- Deep Dive: `/root/vault/obsidian_vault/obsidian/Documents/obsidian/auto_report/deep-dive/YYYY-MM-DD-HHMM-slug.md`", "originalFile": "# Project Memory: ai_usecases_explorer\n\n## Status\n**v1.4 fully implemented** \u2014 162 tests pass, ruff clean. Deep Dive module enhanced with citation, bias, credibility breakdown, and synthesis features.\n\n## Project Layout\n```\nsrc/ai_usecases_explorer/\n  models/usecase.py       \u2014 Pydantic UseCase, ScenarioType (StrEnum), Novelty (StrEnum), make_id()\n  storage/database.py     \u2014 SQLite CRUD: save/exists/get_by_scenario/get_recent\n  collectors/base.py      \u2014 RawItem dataclass + BaseCollector ABC\n  collectors/hackernews.py \u2014 HN Algolia search_by_date, 12 keywords (one query each), dedup\n  collectors/reddit.py    \u2014 Exa.ai SDK (exa_py), include_domains=[\"reddit.com\"], past 24h, 4 queries\n  collectors/github.py    \u2014 GitHub Search API, 8 topics (one query each), dedup\n  processors/filter.py    \u2014 ValueFilter (Claude Step 1)\n  processors/classifier.py \u2014 Classifier (Claude Step 2)\n  processors/deduplicator.py \u2014 Deduplicator (Claude Step 3)\n  processors/utils.py     \u2014 parse_llm_json() strips markdown fences before JSON parse\n  reporters/obsidian.py   \u2014 Markdown report writer\n  deep_dive/              \u2014 Deep Dive skill (on-demand analysis)\n    models.py             \u2014 ArticleContent, StructuralAnalysis (+ LogicalQuality), ResearchResults (FactCheck + source_authority), MultiPerspectiveEvaluation (+ cited args, bias indicators, credibility breakdown, core disputes, synthesis, assessed_fact_checks), DeepDiveReport\n    fetcher.py            \u2014 ContentFetcher: fetch_url(httpx+Exa fallback) + from_text()\n    analyzer.py           \u2014 StructuralAnalyzer: Claude, extracts argument structure (all Chinese output)\n    researcher.py         \u2014 WebResearcher: Exa.ai 4-category search (no autoprompt param)\n    evaluator.py          \u2014 MultiPerspectiveEvaluator: Claude, pro/con/neutral + credibility (all Chinese)\n    reporter.py           \u2014 DeepDiveReporter: Markdown report \u2192 Obsidian deep-dive subdir\n    cli.py                \u2014 DeepDiveOrchestrator + argparse CLI; prints REPORT_PATH: line for parsing\n  settings.py             \u2014 pydantic-settings; deep_dive_report_dir + deep_dive_model fields\n  main.py                 \u2014 Scout orchestrator class + main() CLI\n.claude/commands/deep-dive.md \u2014 /deep-dive slash command (saves to Obsidian by default)\n.claude/commands/ai-scout.md  \u2014 /ai-scout slash command (daily scan)\nSKILLS.md                \u2014 Full usage guide for all skills (Chinese)\ntests/                   \u2014 TDD tests for all modules (pytest-httpx mocks + unittest.mock for Exa)\n```\n\n## CLI Entry Points (no venv activation needed)\n- `ai-scout` \u2014 daily scan (registered in pyproject.toml + /usr/local/bin wrapper)\n- `ai-deep-dive` \u2014 deep dive analysis (registered in pyproject.toml + /usr/local/bin wrapper)\n\n## Key Architectural Decisions\n- Each LLM call has `run()` and `_call_llm()` methods; tests mock `_call_llm` at the class level\n- `Novelty` and `ScenarioType` enum mapping from string \u2192 enum happens in `run()`, not `_call_llm()`\n- Deduplicator skips LLM call when `existing=[]` (returns NEW directly)\n- Algolia ANDs multi-word queries: use ONE query per keyword (_KEYWORDS list, 12 terms)\n- GitHub Search API: `topic:X OR topic:Y` causes 422; use ONE query per topic (_TOPICS, 8 topics)\n- Reddit replaced from OAuth2 to Exa.ai SDK (exa_py v2.6.0+); tests use `unittest.mock.patch`\n- Haiku wraps JSON in markdown fences despite instructions; parse_llm_json() strips them\n- `max_items_per_run=80` caps LLM calls per run (configurable via MAX_ITEMS_PER_RUN env)\n- `ruff` per-file-ignores: `tests/*` + `deep_dive/evaluator.py` + `deep_dive/analyzer.py` ignore E501 (long Chinese prompt strings)\n- deep_dive: analyzer + evaluator prompts have explicit \u3010\u8bed\u8a00\u8981\u6c42\u3011Chinese-output instruction\n- deep_dive: fetcher falls back to Exa.ai get_contents() on 403/4xx (Cloudflare sites)\n- deep_dive: Exa search_and_contents does NOT support `autoprompt` param \u2014 omit it\n- deep_dive: cli prints `REPORT_PATH:<path>` for slash command to parse\n- deep_dive model configured via `DEEP_DIVE_MODEL` env var (default: claude-sonnet-4-6)\n\n## Running\n```bash\n# Tests\nsource venv/bin/activate && pytest tests/ -v   # 162 tests\n\n# Daily scout\nai-scout\nai-scout --dry-run\n\n# D