{
"session_id": "20260519_181135_42c178",
"model": "gpt-5.5",
"base_url": "https://chatgpt.com/backend-api/codex",
"platform": "telegram",
"session_start": "2026-05-19T17:03:04.074251",
"last_updated": "2026-05-19T18:34:21.410081",
"system_prompt": "# Hermes Agent Persona\n\n\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n\n\n\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n\n\n\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n\n\n\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n\n\n\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n\n\n\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n cronjob:\n - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - mcp-delegation: Delegating tasks to OpenClaw/FRIDAY via MCP (Model Contex...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n edge-tts:\n - edge-tts: Text-to-speech using Microsoft Edge TTS. Supports multipl...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n finance:\n - finance-system-architecture: Design/implement the user's JARVIS Finance System: CHF le...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n health:\n - health-data-management: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet all...\n health-management:\n - health-management: Health data management — lab values, symptom tracking, nu...\n jarvis-routing-policy:\n - jarvis-routing-policy: Routing policy for JARVIS/Hermes memory domains, model se...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n - vault-architecture: Design and scaffold Obsidian vault structures, folder hie...\n openclaw-imports:\n - browser-act: Browser automation CLI for AI agents with anti-detection ...\n - gog: Google Workspace CLI for Gmail, Calendar, Drive, Contacts...\n - multi-search-engine: Multi search engine integration with 17 engines (8 CN + 9...\n - openai-whisper: Local speech-to-text with the Whisper CLI (no API key).\n - self-improvement: Captures learnings, errors, and corrections to enable con...\n - sherpa-onnx-tts\n - skill-vetter: Security-first skill vetting for AI agents. Use before in...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - tavily: Tavily web search, content extraction, and research tools.\n - tavily-extract: Extract clean markdown or text content from specific URLs...\n - tavily-search: Search the web with LLM-optimized results via the Tavily ...\n - todoist: Manage tasks and projects in Todoist via REST API v1. Use...\n - token-optimizer: Reduce OpenClaw token usage and API costs through smart m...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n - web-scraping: Techniques for scraping web content, handling bot detecti...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - vue-primevue-dashboard-migration: Incrementally migrate Vue/Vite dashboards to PrimeVue/Aur...\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yazio-integration:\n - yazio-integration: Access YAZIO API to retrieve logged meals and nutrition d...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-23-generic)\nUser home directory: /home/agent\nCurrent working directory: /home/agent/.hermes/hermes-agent\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format  and they will be sent as native photos.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# GLOBALE ORCHESTRIERUNGS-REGELN\n\n## 1. Rolle\nDu bist JARVIS, der Chef-Architekt und Orchestrator. Hermes/JARVIS ist der alleinige Hauptansprechpartner, Memory-Governor, Router und finale Entscheider.\n\n## 2. Ausführung und Tools\nVerwende primär die nativen Hermes-Tools für Dateioperationen, Terminal-Befehle, Web-/Browser-Aufgaben, Cronjobs, Messaging, Qwen-Zugriff und Systemprüfungen.\n\nOpenClaw/FRIDAY ist nicht mehr Standard-Executor. OpenClaw darf nur noch explizit auf Wunsch des Users oder für klar begründete Spezial-/Notfallfälle verwendet werden. Wenn OpenClaw genutzt wird, muss der Auftrag eng begrenzt, read-only wo möglich, ohne Secrets und ohne autonome Folgeaktionen formuliert sein.\n\n## 3. Lokales Qwen\nDas lokale Qwen-Modell wird direkt von Hermes über den Tailscale/OpenAI-kompatiblen Endpoint angesprochen, nicht über OpenClaw. Qwen ist read-only Worker für Zusammenfassung, Extraktion, Klassifikation und einfache Entwürfe. Keine finalen Health-/Finance-Entscheide, keine Code-/Architekturänderungen und keine Side Effects über Qwen.\n\n## 4. Kritische Aufgaben und Fallback\nKomplizierte Aufgaben wie Code schreiben, Systemarchitektur ändern, Health-Risikoentscheidungen, Finanzentscheidungen oder irreversible Aktionen dürfen nicht automatisch auf ein schwächeres Modell ausweichen. Bei GPT-5.5 Rate-Limit oder Ausfall: pausieren und Sir fragen.\n\n## 5. Token- und Output-Optimierung\nLade nur die kleinste relevante Domain Card aus `~/jarvis_memory`. Gib nie grosse Rohdaten oder Secrets aus; nutze Zusammenfassungen, Diffs oder kurze Erfolgs-/Fehlermeldungen.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [99% — 2,191/2,200 chars]\n══════════════════════════════════════════════\n*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\n§\n---\n§\nÜber mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\n§\nÜber mich: **Sprache:** Deutsch mit englischen Fachbegriffen\n§\nTTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\n§\nModelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\n§\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\n§\nOpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\n§\nHealth backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\n§\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\n§\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\n§\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\n§\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\n§\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\n§\nGoogle Workspace (gog): **Client:** default\n§\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com `\n§\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\n§\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\n§\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\n§\nJARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\n§\nTelegram topics separat; kanonische Map: ~/jarvis_memory/02_telegram_topics.md. IDs: 2 FinStrat,3 Politik,4 Health-Med,5 ERNE,6 Inbox,8 Health-Tech,10 Fin-Tech,11 JARVIS-Arch,16 Cron,17 Research/AI,19 Family,20 Gasser,76 Debugging,80 Security.\n§\nFinanceManager GitHub token CSV: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv`; use `github_pat_`/`ghp_` cell; never quote token.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,367/1,375 chars]\n══════════════════════════════════════════════\n**Notes:** Mein Herr. Loyaler Partner.\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nUser wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\n§\nTelegram Topic „Gesundheit – Medizin & Strategie“ ist ausschließlich für medizinische Strategie, Morbus Behçet, Major Vessel Disease, Thromboserisiko, Medikamente, Ernährung, Symptome, Laborwerte, Arzttermine und Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik; technische Health-Systemarchitektur, Skripte und Datenmodelle gehören in „Health System – Architektur & Scripts“.\n§\nFinance: no real amounts/IDs in chat; no runtime DB/CSV/API keys/reports in Git/frontend; backups+audit; Preview→Confirm→Audit; no fake buttons/prices; OpenFIGI never show/store; never auto-book/order. Grocery: learn/reuse accepted/rejected mappings; web/provider calls explicit, cache-first.\n\nConversation started: Tuesday, May 19, 2026 06:11 PM\nModel: gpt-5.5\nProvider: openai-codex",
"tools": [
{
"type": "function",
"function": {
"name": "browser_back",
"description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_click",
"description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
}
},
"required": [
"ref"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_console",
"description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
"parameters": {
"type": "object",
"properties": {
"clear": {
"type": "boolean",
"default": false,
"description": "If true, clear the message buffers after reading"
},
"expression": {
"type": "string",
"description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_get_images",
"description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_navigate",
"description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
"parameters": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The URL to navigate to (e.g., 'https://example.com')"
}
},
"required": [
"url"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_press",
"description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
}
},
"required": [
"key"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_scroll",
"description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"direction": {
"type": "string",
"enum": [
"up",
"down"
],
"description": "Direction to scroll"
}
},
"required": [
"direction"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_snapshot",
"description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
"parameters": {
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_type",
"description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e3')"
},
"text": {
"type": "string",
"description": "The text to type into the field"
}
},
"required": [
"ref",
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_vision",
"description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "What you want to know about the page visually. Be specific about what you're looking for."
},
"annotate": {
"type": "boolean",
"default": false,
"description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "clarify",
"description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The question to present to the user."
},
"choices": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 4,
"description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "cronjob",
"description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"description": "One of: create, list, update, pause, resume, remove, run"
},
"job_id": {
"type": "string",
"description": "Required for update/pause/resume/remove/run"
},
"prompt": {
"type": "string",
"description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
},
"schedule": {
"type": "string",
"description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
},
"name": {
"type": "string",
"description": "Optional human-friendly name"
},
"repeat": {
"type": "integer",
"description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
},
"deliver": {
"type": "string",
"description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
},
"skills": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
},
"model": {
"type": "object",
"description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
"properties": {
"provider": {
"type": "string",
"description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
},
"model": {
"type": "string",
"description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
}
},
"required": [
"model"
]
},
"script": {
"type": "string",
"description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
},
"no_agent": {
"type": "boolean",
"default": false,
"description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
},
"context_from": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
},
"enabled_toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
},
"workdir": {
"type": "string",
"description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "delegate_task",
"description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
"parameters": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
},
"context": {
"type": "string",
"description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
},
"tasks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "Task goal"
},
"context": {
"type": "string",
"description": "Task-specific context"
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
},
"acp_command": {
"type": "string",
"description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Per-task ACP args override. Leave empty unless acp_command is set."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Per-task role override. See top-level 'role' for semantics."
}
},
"required": [
"goal"
]
},
"description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable."
},
"acp_command": {
"type": "string",
"description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "execute_code",
"description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
}
},
"required": [
"code"
]
}
}
},
{
"type": "function",
"function": {
"name": "image_generate",
"description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown  and the gateway will deliver it.",
"parameters": {
"type": "object",
"properties": {
"prompt": {
"type": "string",
"description": "The text prompt describing the desired image. Be detailed and descriptive."
},
"aspect_ratio": {
"type": "string",
"enum": [
"landscape",
"square",
"portrait"
],
"description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.",
"default": "landscape"
}
},
"required": [
"prompt"
]
}
}
},
{
"type": "function",
"function": {
"name": "memory",
"description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"add",
"replace",
"remove"
],
"description": "The action to perform."
},
"target": {
"type": "string",
"enum": [
"memory",
"user"
],
"description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
},
"content": {
"type": "string",
"description": "The entry content. Required for 'add' and 'replace'."
},
"old_text": {
"type": "string",
"description": "Short unique substring identifying the entry to replace or remove."
}
},
"required": [
"action",
"target"
]
}
}
},
{
"type": "function",
"function": {
"name": "patch",
"description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.",
"parameters": {
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"replace",
"patch"
],
"description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.",
"default": "replace"
},
"path": {
"type": "string",
"description": "REQUIRED when mode='replace'. File path to edit."
},
"old_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "Replace all occurrences instead of requiring a unique match (default: false)",
"default": false
},
"patch": {
"type": "string",
"description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
}
},
"required": [
"mode"
]
}
}
},
{
"type": "function",
"function": {
"name": "process",
"description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"list",
"poll",
"log",
"wait",
"kill",
"write",
"submit",
"close"
],
"description": "Action to perform on background processes"
},
"session_id": {
"type": "string",
"description": "Process session ID (from terminal background output). Required for all actions except 'list'."
},
"data": {
"type": "string",
"description": "Text to send to process stdin (for 'write' and 'submit' actions)"
},
"timeout": {
"type": "integer",
"description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
"minimum": 1
},
"offset": {
"type": "integer",
"description": "Line offset for 'log' action (default: last 200 lines)"
},
"limit": {
"type": "integer",
"description": "Max lines to return for 'log' action",
"minimum": 1
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "read_file",
"description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to read (absolute, relative, or ~/path)"
},
"offset": {
"type": "integer",
"description": "Line number to start reading from (1-indexed, default: 1)",
"default": 1,
"minimum": 1
},
"limit": {
"type": "integer",
"description": "Maximum number of lines to read (default: 500, max: 2000)",
"default": 500,
"maximum": 2000
}
},
"required": [
"path"
]
}
}
},
{
"type": "function",
"function": {
"name": "search_files",
"description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
"parameters": {
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
},
"target": {
"type": "string",
"enum": [
"content",
"files"
],
"description": "'content' searches inside file contents, 'files' searches for files by name",
"default": "content"
},
"path": {
"type": "string",
"description": "Directory or file to search in (default: current working directory)",
"default": "."
},
"file_glob": {
"type": "string",
"description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
},
"limit": {
"type": "integer",
"description": "Maximum number of results to return (default: 50)",
"default": 50
},
"offset": {
"type": "integer",
"description": "Skip first N results for pagination (default: 0)",
"default": 0
},
"output_mode": {
"type": "string",
"enum": [
"content",
"files_only",
"count"
],
"description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
"default": "content"
},
"context": {
"type": "integer",
"description": "Number of context lines before and after each match (grep mode only)",
"default": 0
}
},
"required": [
"pattern"
]
}
}
},
{
"type": "function",
"function": {
"name": "send_message",
"description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"send",
"list"
],
"description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms."
},
"target": {
"type": "string",
"description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)"
},
"message": {
"type": "string",
"description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "session_search",
"description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
},
"role_filter": {
"type": "string",
"description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
},
"limit": {
"type": "integer",
"description": "Max sessions to summarize (default: 3, max: 5).",
"default": 3
}
}
}
}
},
{
"type": "function",
"function": {
"name": "skill_manage",
"description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"create",
"patch",
"edit",
"delete",
"write_file",
"remove_file"
],
"description": "The action to perform."
},
"name": {
"type": "string",
"description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
},
"content": {
"type": "string",
"description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
},
"old_string": {
"type": "string",
"description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
},
"category": {
"type": "string",
"description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
},
"file_path": {
"type": "string",
"description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
},
"file_content": {
"type": "string",
"description": "Content for the file. Required for 'write_file'."
},
"absorbed_into": {
"type": "string",
"description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
}
},
"required": [
"action",
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skill_view",
"description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
"parameters": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
},
"file_path": {
"type": "string",
"description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
}
},
"required": [
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skills_list",
"description": "List available skills (name + description). Use skill_view(name) to load full content.",
"parameters": {
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter to narrow results"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "terminal",
"description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
"parameters": {
"type": "object",
"properties": {
"command": {
"type": "string",
"description": "The command to execute on the VM"
},
"background": {
"type": "boolean",
"description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
"default": false
},
"timeout": {
"type": "integer",
"description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
"minimum": 1
},
"workdir": {
"type": "string",
"description": "Working directory for this command (absolute path). Defaults to the session working directory."
},
"pty": {
"type": "boolean",
"description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
"default": false
},
"notify_on_complete": {
"type": "boolean",
"description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
"default": false
},
"watch_patterns": {
"type": "array",
"items": {
"type": "string"
},
"description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
}
},
"required": [
"command"
]
}
}
},
{
"type": "function",
"function": {
"name": "text_to_speech",
"description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."
},
"output_path": {
"type": "string",
"description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3"
}
},
"required": [
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "todo",
"description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
"parameters": {
"type": "object",
"properties": {
"todos": {
"type": "array",
"description": "Task items to write. Omit to read current list.",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Unique item identifier"
},
"content": {
"type": "string",
"description": "Task description"
},
"status": {
"type": "string",
"enum": [
"pending",
"in_progress",
"completed",
"cancelled"
],
"description": "Current status"
}
},
"required": [
"id",
"content",
"status"
]
}
},
"merge": {
"type": "boolean",
"description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "vision_analyze",
"description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.",
"parameters": {
"type": "object",
"properties": {
"image_url": {
"type": "string",
"description": "Image URL (http/https), local file path, or data: URL to load."
},
"question": {
"type": "string",
"description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image."
}
},
"required": [
"image_url",
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
},
"content": {
"type": "string",
"description": "Complete content to write to the file"
}
},
"required": [
"path",
"content"
]
}
}
}
],
"message_count": 382,
"messages": [
{
"role": "user",
"content": "[M G] ich habe den API key für Openfigi. wo soll ich dir diesen ablegen? gib mir die befehle fürs Terminal.\n\n[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 223 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---\n\n[Your active task list was preserved across context compression]\n- [>] p110-0. Arbeitsbasis prüfen; relevante Budget-Services/UI inventarisieren; Runtime nur read-only bis Backup (in_progress)\n- [ ] p110-1. RED-Tests für 2026-Filter, 2025-Archivierung/Confirm-Block, Bulk, Kategorien, effektive Ausgaben, Budgetstatus-Monatsmatrix/Charts schreiben (pending)\n- [ ] p110-2. Backend: aktives Jahr 2026 Defaults, 2025-reference/archival, Confirm-Guard, Transaktionsfilter, Budgetstatus-Monatsmatrix/Charts DTOs (pending)\n- [ ] p110-3. Backend: Kategorie-Cleanup-Services für kanonische Einnahmen/Ausgaben, Duplikat-/UAT-Archivierung mit Audit (pending)\n- [ ] p110-4. Frontend: Jahrfilter Default 2026, Review Bulk UX Fehlerdetails/Zähler, Kategorie-Dropdowns gruppiert/suchbar (pending)\n- [ ] p110-5. Frontend: Effektive Ausgaben 2026-only, Budgetstatus Monatsmatrix/Drawer/Charts, Income 2026-only (pending)\n- [ ] p110-6. Runtime: Backup erstellen, 2025/UAT/Testdaten sichtbarkeitsbereinigen mit Audit, keine echten Bulk-Confirms (pending)\n- [ ] p110-7. Verifikation: compile, pytest, npm test/build, secret scans, Git-Safety, diff-check (pending)\n- [ ] p110-8. Commit, Push, Remote-Hash, Abschlussbericht (pending)"
},
{
"role": "assistant",
"content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nNone.\n\n## Goal\nDas Finanz-/Budget-Dashboard soll über Tailscale auf iPhone/iPad gut nutzbar sein: schnelle mobile Quick-View für Command Center, Budgetstatus 2026, Einkünfte, effektive Ausgaben, Crypto, Aktien/ETF/Cash, Wallets und minimale Reports — ohne neue Fachfeatures, Provider, Import-Engines oder Schreibaktionen ohne Preview/Confirm/Audit.\n\n## Constraints & Preferences\n- Sprache/Kommunikation: Deutsch, direkte Abschlussberichte mit Ja/Nein-Status und Links.\n- Keine VISA-/Migros-/Rule-/OCR-/Import-Engine starten oder implementieren.\n- Keine neuen Provider, keine Provider-Abfragen beim normalen Rendern.\n- Keine echten Daten, API-Keys, Secrets, Credentials, Runtime-DBs oder Connection Strings ins Git/Frontend.\n- Schreibaktionen nur mit Preview/Confirm/Audit.\n- Fokus Mobile UX: responsive Layout, mobile Navigation, kompakte Views, Touch-Bedienbarkeit.\n- Desktop-Verhalten darf nicht kaputtgehen; Desktop-Sidebar bleibt.\n- Mobile User Mode soll keine Admin-/Debug-/technischen IDs zeigen.\n- Große Tabellen mobil entschärfen: Desktop Tabelle, Mobile Card List; horizontales Scrollen nur in Detailbereichen, wenn unvermeidbar.\n- Breakpoints: mobile `<640px`, tablet `640–1024px`, desktop `>1024px`.\n- Beträge immer mit 2 Dezimalstellen, keine langen Decimal-Werte.\n- Roadmap-Hinweise sind erlaubt, aber keine Fake-Buttons.\n- Vor Abschluss erwünscht: Python compile, pytest, npm test, npm run build, Secret Scans, Git-Safety, `git diff --check`, Commit, Push, Restart, lokale/Tailscale-Links melden.\n\n## Completed Actions\n1. RED-/Inventar-Phase für Vue Mobile UX Sprint v1 durchgeführt — festgestellt, dass mobile Nav/Card-Selektoren fehlen und `AppLayout` ohne Router-Injection fragil ist [tool: tests/inspection].\n2. Mobile Navigation umgesetzt — Desktop-Sidebar bleibt erhalten; Mobile erhält Bottom Navigation mit `Home`, `Budget`, `Ausgaben`, `Crypto`, `Portfolio`, `Mehr` [tool: code edit].\n3. Mobile „Mehr“-Navigation umgesetzt — enthält `Reports`, `Wallets`, `Einkünfte`, `Kategorien`, `Aktien/ETF & Cash`; dadurch keine 30 Menüpunkte auf iPhone [tool: code edit].\n4. Mobile Shell/Layout angepasst — Bottom-Nav-Space und mobiles Padding ergänzt; Desktop-Layout bleibt erhalten [tool: code edit].\n5. Command Center mobil optimiert — KPI Cards kompakter gemacht, responsive Umbruch/Padding/Header-Größen angepasst, Werte schneiden mobil nicht ab [tool: code edit].\n6. Budgetstatus Mobile Cards umgesetzt — Kategorie-Cards statt breiter Tabelle mit Kategorie, Budget Monat, Ist Monat, Prognose, Abweichung und Ampel/Status [tool: code edit].\n7. Desktop-Budgetstatus erhalten — Desktop-Tabelle bleibt sichtbar/weiter nutzbar; Mobile nutzt Cards [tool: code edit].\n8. Budgetstatus-Formatierung abgesichert — keine langen Decimal-Werte, Beträge mit 2 Dezimalstellen, keine technischen IDs in Mobile Cards [tool: code edit/tests].\n9. Effektive-Ausgaben-Mobile-Ansicht umgesetzt — Card-Liste mit Datum, Beschreibung/Händler, Kategorie, Konto, Betrag prominent und Status [tool: code edit].\n10. Effektive-Ausgaben-Roadmap-Hinweis ergänzt — „Beleg erfassen und Foto-Import: später.“ als Coming-soon-Hinweis, nicht als Fake-Button [tool: code edit].\n11. Einkünfte mobil nutzbar gemacht — Mobile Card-Ansicht für Einkünfte-Pläne mit Name, Quelle/Person, Art, Monatswert, Jahreswert, Status und Archivieren-Aktion wenn aktiv [tool: code edit].\n12. Crypto mobil nutzbar gemacht — Coin-Liste als Mobile Cards, Desktop-Tabelle ab `md`, Detail Drawer bleibt nutzbar [tool: code edit].\n13. Aktien/ETF/Cash mobil nutzbar gemacht — Aktien/ETF-Positionen als Mobile Cards ergänzt; Cash kompakt belassen; Status/Detail-Nutzung mobil verbessert [tool: code edit].\n14. Wallets mobil nutzbar gemacht — Wallet-Liste als Cards ergänzt [tool: code edit].\n15. Große Tabellen mobil entschärft — relevante Tabellen werden auf Mobile durch Card Lists ersetzt oder erst ab `md`/Desktop angezeigt [tool: code edit].\n16. `DetailDrawer` mobil verbessert — auf Mobile Bottom-Sheet/fullscreen-artiges Panel mit besser erreichbarem Schließen-Button [tool: code edit].\n17. Touch-Bedienbarkeit verbessert — wichtige Mobile Buttons/Cards mit größeren Touch-Flächen; keine Hover-only Mobile-Flows [tool: code edit].\n18. Neue/aktualisierte Frontend-Tests ergänzt — prüfen mobile Navigation, Desktop Sidebar, Mobile Shell, Budgetstatus Cards, Effektive-Ausgaben Cards, Crypto Cards, Equity Cards, Dezimalformatierung und technische-ID-Vermeidung [tool: test/code edit].\n19. Frontend Vitest ausgeführt — Ergebnis: `31 passed` [tool: terminal].\n20. Frontend Build ausgeführt — Ergebnis: OK [tool: terminal].\n21. Python compile ausgeführt — Ergebnis: OK [tool: terminal].\n22. Backend pytest ausgeführt — Ergebnis: `393 passed` [tool: terminal].\n23. `git diff --check` ausgeführt — Ergebnis: OK [tool: terminal].\n24. Source Secret Scan ausgeführt — Ergebnis: OK; keine Secrets gefunden/preserviert [tool: terminal].\n25. Frontend Build Secret Scan ausgeführt — Ergebnis: OK [tool: terminal].\n26. Git-Safety geprüft — Ergebnis: OK [tool: terminal].\n27. Browser-/Route-Sanity durchgeführt — Routen `/`, `/planning/budget/status`, `/planning/budget/income`, `/planning/budget/expenses/actual`, `/crypto`, `/equity`, `/wallets` jeweils `200` [tool: browser/terminal].\n28. Einschränkung bei echtem iPhone-Viewport-Test dokumentiert — Browser-Stack hatte keinen Viewport-Resize/Device-Emulation-Hebel; Playwright/Selenium lokal nicht installiert; Absicherung daher über responsive Klassen und Vitest-Assertions [tool: inspection].\n29. Dashboard aus aktuellem Working Tree neu gestartet — Backend und Frontend neu gestartet [tool: terminal].\n30. Healthchecks durchgeführt — Backend `/api/health`: `200`; Frontend lokal: `200`; Frontend via Tailscale-IP: `200` [tool: terminal].\n31. Commit erstellt — Commit Message: `feat: improve mobile dashboard ux`; Commit Hash: `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00` [tool: git].\n32. Push durchgeführt und Remote-Hash verifiziert — Remote Hash entspricht lokalem Commit `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00`; Push erfolgreich [tool: git].\n33. Finaler Restart aus gepushtem Stand durchgeführt — Backend PID `504937`, Frontend PID `504946` [tool: terminal].\n34. Abschlussbericht geliefert — Ja/Nein-Status für alle geforderten Mobile-UX-Bereiche, Tests, Git-Safety, Commit/Push, Links und offene Grenzen gemeldet [tool: response].\n\n## Active State\n- Working directory: nicht explizit im neuen Kontext genannt.\n- Branch: `feat/budget-phase-1-4`.\n- Working Tree: sauber.\n- Letzter Commit: `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00`.\n- Commit Message: `feat: improve mobile dashboard ux`.\n- Push-Status: erfolgreich; Remote-Hash Match: ja.\n- Backend läuft neu gestartet mit PID `504937`.\n- Frontend läuft neu gestartet mit PID `504946`.\n- Lokales Backend: `http://127.0.0.1:8000`.\n- Lokales Frontend: `http://127.0.0.1:5173`.\n- Tailscale Dashboard: `http://100.85.29.67:5173`.\n- Tailscale Serve/HTTPS: nicht aktiv; Meldung: `No serve config`.\n- Healthchecks:\n - Backend `/api/health`: `200`.\n - Frontend lokal: `200`.\n - Frontend via Tailscale-IP: `200`.\n- Teststatus:\n - Backend pytest: `393 passed`.\n - Frontend Vitest: `31 passed`.\n - Frontend build: OK.\n - Python compile: OK.\n - `git diff --check`: OK.\n - Source Secret Scan: OK.\n - Frontend Build Secret Scan: OK.\n - Git-Safety: OK.\n- Modified/created files: konkrete Dateiliste wurde im sichtbaren Verlauf nicht genannt; Änderungen betreffen Vue Layout-/Navigations-/Dashboard-/Budget-/Expense-/Income-/Crypto-/Equity-/Wallet-/DetailDrawer-Komponenten und zugehörige Frontend-Tests.\n\n## In Progress\nKeine laufende Arbeit. Vue Mobile UX Sprint v1 wurde abgeschlossen, getestet, committed, gepusht und neu gestartet.\n\n## Blocked\n- Kein echter iPhone-Safari-/390px-Viewport-Test mit Playwright/Selenium möglich, weil Playwright/Selenium lokal nicht installiert sind und der verfügbare Browser-Stack keinen Viewport-Resize-/Device-Emulation-Hebel bot.\n- Tailscale Serve/HTTPS ist nicht aktiv; Status/Meldung: `No serve config`.\n- Keine funktionalen Blocker für die ausgelieferte Mobile UX bekannt.\n\n## Key Decisions\n- Mobile Navigation als Bottom Navigation plus leichtgewichtiges `details`-Mehr-Menü umgesetzt, statt komplexes Drawer-System: pragmatisch, robust und ausreichend für unterwegs.\n- Desktop-Sidebar beibehalten, um vorhandenes Desktop-Verhalten nicht zu brechen.\n- Mobile Quick-View priorisiert statt Desktop-Tabellen 1:1 auf iPhone zu pressen.\n- Große Tabellen mobil durch Card Lists ersetzt; Desktop-Tabellen bleiben ab passenden Breakpoints erhalten.\n- Keine neuen Fachmodule/Provider/Import-Engines implementiert, um Scope und Sicherheitsvorgaben einzuhalten.\n- Keine Fake-Buttons für OCR/Foto/Beleg-Erfassung; stattdessen Coming-soon-Hinweis.\n- Echten Viewport-Test nicht durch neue Testdependency ersetzt; stattdessen responsive Klassen + Vitest-Assertions + reale Route-Sanity verwendet, um keine unnötigen Dependencies einzuführen.\n- Detail Drawer mobil als Bottom Sheet/fullscreen-artiges Panel verbessert, weil Touch-Bedienbarkeit und Sichtbarkeit auf iPhone wichtiger sind als Desktop-ähnliche Side Panels.\n\n## Resolved Questions\n- Mobile Navigation umgesetzt? Ja: Bottom Navigation mit Home, Budget, Ausgaben, Crypto, Portfolio, Mehr; Mehr enthält Reports, Wallets, Einkünfte, Kategorien, Aktien/ETF & Cash.\n- Command Center mobil nutzbar? Ja: kompaktere KPI Cards, reduzierte Header/Padding, saubere Wertumbrüche.\n- Budgetstatus mobil als Cards? Ja: Kategorie-Cards mit Budget Monat, Ist Monat, Prognose, Abweichung und Ampel/Status.\n- Effektive Ausgaben mobil nutzbar? Ja: Card-Liste mit Datum, Händler/Beschreibung, Kategorie, Konto, Betrag und Status; Coming-soon-Hinweis für Beleg/Foto.\n- Einkünfte mobil nutzbar? Ja: Cards mit Name, Quelle/Person, Art, Monatswert, Jahreswert, Status.\n- Crypto mobil nutzbar? Ja: Coin Cards, kompakte Liste, Details nutzbar.\n- Aktien/ETF/Cash mobil nutzbar? Ja: Positionen als Cards, Cash kompakt, Detail Drawer verbessert.\n- Wallets mobil nutzbar? Ja: Wallet Cards.\n- Tabellen mobil entschärft? Ja: Mobile Card Lists oder Desktop-only Tabellen.\n- Tailscale-Link funktioniert? Ja: `http://100.85.29.67:5173` liefert `200`.\n- Backend neu gestartet? Ja, PID `504937`.\n- Frontend neu gestartet? Ja, PID `504946`.\n- Commit/Push erledigt? Ja, Commit/Remote Hash `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00`.\n- Wurden VISA/Migros/OCR/Rule/Duplicate/neue Provider implementiert oder gestartet? Nein.\n\n## Pending User Asks\nNone.\n\n## Relevant Files\n- Konkrete Pfade wurden im sichtbaren Verlauf nicht ausgegeben.\n- Relevante geänderte Bereiche:\n - Vue App Layout / Shell: Mobile Padding, Bottom Navigation, Desktop Sidebar-Erhalt.\n - Mobile Navigation-Komponenten: Hauptpunkte und Mehr-Menü.\n - Command Center Dashboard-Komponenten: responsive KPI Cards.\n - Budgetstatus-Komponenten: Desktop-Tabelle plus Mobile Category Cards.\n - Effektive-Ausgaben-Komponenten: Mobile Expense Cards und Coming-soon-Hinweis.\n - Einkünfte-Komponenten: Mobile Income Plan Cards.\n - Crypto-Komponenten: Mobile Coin Cards, Desktop-Tabelle ab `md`.\n - Equity/Aktien-ETF-Cash-Komponenten: Mobile Position Cards.\n - Wallet-Komponenten: Mobile Wallet Cards.\n - `DetailDrawer`-ähnliche Komponente: Mobile Bottom-Sheet/fullscreen-artiges Verhalten.\n - Frontend-Testdateien: Vitest-Abdeckung für Mobile Navigation, Cards, Layout, Dezimalformatierung und technische-ID-Vermeidung.\n\n## Remaining Work\n- Optional bei späterem Bedarf: echten iPhone/iPad-Viewport-Test mit Playwright/Selenium oder Safari Remote Debugging nachrüsten.\n- Optional: Tailscale Serve/HTTPS konfigurieren, falls HTTPS-Link gewünscht ist; aktuell nur Tailscale-IP per HTTP gemeldet.\n- Reports bleiben minimal/roadmap-artig.\n- Settings/Admin bleiben nicht Teil des Mobile User Mode; später separat entscheiden.\n- Keine offenen Pflichtaufgaben aus dem Mobile UX Sprint v1.\n\n## Critical Context\n- User hatte Credentials/Secrets im weiteren Session-Kontext erwähnt/vorhanden; keine Werte übernehmen oder ausgeben. Falls relevant immer als `[REDACTED]` behandeln.\n- Branch: `feat/budget-phase-1-4`.\n- Commit Hash: `3f2189fd7c0fed01fd4b99f11e0a2ca61bb1cd00`.\n- Commit Message: `feat: improve mobile dashboard ux`.\n- Lokaler Frontend-Link: `http://127.0.0.1:5173`.\n- Lokaler Backend-Link: `http://127.0.0.1:8000`.\n- Tailscale Dashboard-Link: `http://100.85.29.67:5173`.\n- Tailscale Serve/HTTPS-Status: `No serve config`.\n- Backend PID nach Restart: `504937`.\n- Frontend PID nach Restart: `504946`.\n- Testausgaben:\n - Backend pytest: `393 passed`.\n - Frontend Vitest: `31 passed`.\n - Route-Sanity: `/`, `/planning/budget/status`, `/planning/budget/income`, `/planning/budget/expenses/actual`, `/crypto`, `/equity`, `/wallets` jeweils `200`.\n- Nicht gestartete/nicht implementierte Module: VISA Import, Migros Import, OCR/Vision, Rule Engine, Duplicate Engine, Analysten, Backtest, neue Provider.\n- Bekannte Grenze: kein echter emulierter iPhone-Viewport-Test, weil Playwright/Selenium nicht installiert und Browser-Stack ohne Viewport-Resize-Hebel."
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"content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 231 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---\n\nUI-v3 fokussierte Tests sind grün. Ich prüfe jetzt den Backend-Reportgenerator und ergänze falls nötig die expliziten Report-Sektionen für akzeptiert/abgelehnt/unsicher/nicht gefunden/cache/source — ohne echte UAT-Daten ins Git.",
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"encrypted_content": "gAAAAABqDH4N_SHXNwNgEecoGpK2Ylgmxw2yC340dK1nsWRbhzh8tn8WTk7r53fpuN-GrGhERPI6Bzs3ZzKOQH6CwfbFns-AZDXvfEIpUo34ppJ7X4UX-vsv1gQvPqyfD7ub_8fa8-OqSmSJ3RUVFIKX838Zm8Igt4siOPYCdmhOWpCYjeNmls2E3eWDCPpDJVAMDOmyaZ9PYWu-sQFYVmkB-n8V0Nd5iOXsFkGxpE28FKlRVcwU-hGI0opX9JGnUxXtnVhR87I3vnMYpMFttRDGhr5FW7QXs50hHsqUKEMtAUp4UnNSzzAig82FYpRWqkt3Kkj0MUGTNcSH2gta8OdGG2TZwF1Tv6z_amJ6KyBTSvgTBC50QTHTDqnGhOtEa81D85cRjVmJ8lmcOn_CrxESaeOC2nsEBqu0KVti16nIQ78xW4MZ7Tr3xfEwbgpwBxk3JIoBwzxOzy0hAopcxBf8eUVgk_u2gBKvFGdZC6uEtIunkZXFzEKyisrcKddL2ZADwSUuQT67S8yPKGNwZP540jeyVDJ9OaLdQYbh6HOf4H6bko2ZV3kcunje0D1YGmButwH2qoRoblAcIq91GHQXQr5_9W0PFj24hmdGMtz2f67oPxjHr7UPZBRcd8fBp6KmXybcL3vyGNslVR53RhCzkMBKu4XflgsUUNd9OPuHaalFnx35nov7XB45KZU4GMPSsUoGx27bgXhxssED0xKiqSPoiYKMJEPREdL2PwPuX_1wOt5JxQ9qRvszYUg-63odXpLGaI7td9i6QIkO98oBcc_5rS3D3rMIjEqI3azH88D3qc2ZiXyfL9naL3x3m82Gn6YWD5DjtzXFgceWksSYGiPoSSC592chaqSyGhReMBx5P3tF2KHFWsLkFDgLEFFUOJj9a6WDblaZC1TlZfYUI0u50ONIyPheu8HMlmKiefJZgRFR1mGCiRtZ4aMqtrOWP0NXtorKbcq7olEFkP-7ER1IO-fpY6rbsZPYDH_a8k7UIdCWUu77P7rHM6nXxFOZz5N1Lus7vcq81VZcoccQyMvqyoawyHWZpR1JA1Q11-Fkl_4I0QnN2Sj8PvevARYB9OCcWFxmmL80inKUbrvOU_3tPNV91N931CFExWZxlrdmsHUhhE35-4AKZVSU5lY7tbST4ut7Px7pD0OaAovPMfZyTzFjWLtTceGBoPv1LCNek9CRnZmHEpV2rTgqaYfVgj6D2vvGylQW3Ex9RSYe9xA1uNUrZnY1DTRRH-TNEATqowsty27ZStoHL9F-fU-tpuzFH_3PPCdRcSzaw8I36XrInYAVFg==",
"id": "rs_08efd988e539badb016a0c7e08149c8191afecaab6ada44720",
"summary": [
{
"type": "summary_text",
"text": "**Analyzing report improvements**\n\nI’m considering how to improve the report, possibly looking into tests. It seems like I could patch some lines and use source URLs that I've already gathered. I know there are prices involved, but maybe the runtime is okay, though I need to check the chat aspect. I definitely need to add sections for accepted and rejected products, plus test assertions, specifically for \"Bon-Auswahl,\" analyzing accepted alternatives and potential patches."
}
]
}
]
},
{
"role": "tool",
"content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/grocery_optimizer.py (3,594 chars result)",
"tool_call_id": "call_fBMahRB1pXBONs3u26QCedvn"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_3ee8hzo4iLXzR6AiIy44bNNO",
"call_id": "call_3ee8hzo4iLXzR6AiIy44bNNO",
"response_item_id": "fc_08efd988e539badb016a0c7e1b73f481919a912338687cac2d",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\": \"replace\", \"new_string\": \" assert report['runtime_only'] is True\\n assert 'Bon-Auswahl' in text\\n assert 'Analysierte Produkte' in text\\n assert 'Akzeptierte Alternativen' in text\\n assert 'Abgelehnte Alternativen' ...[truncated]\", \"old_string\": \" assert report['runtime_only'] is True\\n assert 'Bekannte Mappings' in text\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_grocery_matching_learning_v2.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/tests/unit/test_grocery_matching_learning_v2.py (1,113 chars result)",
"tool_call_id": "call_3ee8hzo4iLXzR6AiIy44bNNO"
},
{
"role": "assistant",
"content": "Ich lasse die fokussierten Frontend-/Backend-Regressionen laufen.",
"tool_calls": [
{
"id": "call_5jTub2mxFbJGSWU77PctczUk",
"call_id": "call_5jTub2mxFbJGSWU77PctczUk",
"response_item_id": "fc_08efd988e539badb016a0c7e28b7b081918f3c1bf32adba733",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"source ~/jarvis_runtime/finance-system/venv/bin/activate && unset JARVIS_FINANCE_DB_PATH && PYTHONPATH=src pytest tests/unit/test_grocery_matching_learning_v2.py tests/unit/test_grocery_price_providers_v1.py tests/unit/test_migros_grocery_optimizer_v1.py -q\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
},
{
"id": "call_QYLzIYltuwVJqnkFeKqTxXDz",
"call_id": "call_QYLzIYltuwVJqnkFeKqTxXDz",
"response_item_id": "fc_08efd988e539badb016a0c7e28b7f08191a96c80d008b4daef",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"npm test -- --run src/pages/BudgetGroceryOptimizerPage.test.ts src/pages/GroceryMatchingLearningV2.test.ts src/pages/GroceryPriceProvidersV1.test.ts\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager/frontend\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Ich lasse die fokussierten Frontend-/Backend-Regressionen laufen."
}
],
"id": "msg_08efd988e539badb016a0c7e2425c48191ab001237d600cc67",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"......................... [100%]\\n25 passed in 1.48s\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_5jTub2mxFbJGSWU77PctczUk"
},
{
"role": "tool",
"content": "[terminal] ran `npm test -- --run src/pages/BudgetGroceryOptimizerPage.test.ts src/pages/Groc...` -> exit 0, 1 lines output",
"tool_call_id": "call_QYLzIYltuwVJqnkFeKqTxXDz"
},
{
"role": "assistant",
"content": "Fokussierte v3-Regressionen sind grün. Ich führe jetzt Full Verification auf `main` aus, dann committe ich die v3-Politur, setze Tag `v0.3.2`, pushe main+Tag und starte Dashboard aus `main`.",
"tool_calls": [
{
"id": "call_RISakidGtDxwm97oD8iex6QT",
"call_id": "call_RISakidGtDxwm97oD8iex6QT",
"response_item_id": "fc_08efd988e539badb016a0c7e36be508191b856e46d9c9fb2a1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nsource ~/jarvis_runtime/finance-system/venv/bin/activate\\nunset JARVIS_FINANCE_DB_PATH GIT_ASKPASS\\nPYTHONPATH=src python -m compileall -q src tests\\nPYTHONPATH=src pytest -q\\ncd frontend\\nnpm test -- --run\\nnpm run build\\n\",\"timeout\":600,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Considering changes and tagging**\n\nI need to commit the main changes before I tag and push. But maybe I should verify everything is working correctly first. I’m thinking it might be good to check the status, too. Should I start the dashboard from the main branch? It's a bit confusing, but I want to make sure everything goes smoothly before I proceed with the changes and any tags. It's all about getting it right!",
"reasoning_content": "**Considering changes and tagging**\n\nI need to commit the main changes before I tag and push. But maybe I should verify everything is working correctly first. I’m thinking it might be good to check the status, too. Should I start the dashboard from the main branch? It's a bit confusing, but I want to make sure everything goes smoothly before I proceed with the changes and any tags. It's all about getting it right!",
"codex_reasoning_items": [
{
"type": "reasoning",
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"id": "rs_08efd988e539badb016a0c7e3453c48191a0ba46c34a770bf6",
"summary": [
{
"type": "summary_text",
"text": "**Considering changes and tagging**\n\nI need to commit the main changes before I tag and push. But maybe I should verify everything is working correctly first. I’m thinking it might be good to check the status, too. Should I start the dashboard from the main branch? It's a bit confusing, but I want to make sure everything goes smoothly before I proceed with the changes and any tags. It's all about getting it right!"
}
]
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Fokussierte v3-Regressionen sind grün. Ich führe jetzt Full Verification auf `main` aus, dann committe ich die v3-Politur, setze Tag `v0.3.2`, pushe main+Tag und starte Dashboard aus `main`."
}
],
"id": "msg_08efd988e539badb016a0c7e3672b08191b29327297d91befc",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nsource ~/jarvis...` -> exit 0, 1 lines output",
"tool_call_id": "call_RISakidGtDxwm97oD8iex6QT"
},
{
"role": "assistant",
"content": "Full Verification ist grün: Backend `496 passed`, Frontend `92 passed`, Build OK. Ich mache Scans/Git-Safety/diff-check, committe dann `main` und pushe mit Tag.",
"tool_calls": [
{
"id": "call_zxi7hSipUZFfPculRwcpF2EH",
"call_id": "call_zxi7hSipUZFfPculRwcpF2EH",
"response_item_id": "fc_08efd988e539badb016a0c7e8d49d081918976492ae0198022",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\npython - <<'PY'\\nfrom pathlib import Path\\nimport subprocess, shutil\\nchanged = [line.strip() for line in subprocess.check_output(['git','dif...[truncated]\", \"timeout\": 300, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Full Verification ist grün: Backend `496 passed`, Frontend `92 passed`, Build OK. Ich mache Scans/Git-Safety/diff-check, committe dann `main` und pushe mit Tag."
}
],
"id": "msg_08efd988e539badb016a0c7e8c38c08191b185a6489d4de6ce",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\npython - <<'PY'...` -> exit 0, 1 lines output",
"tool_call_id": "call_zxi7hSipUZFfPculRwcpF2EH"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_cBm4aPbJzFZWoxtsQQSRilO1",
"call_id": "call_cBm4aPbJzFZWoxtsQQSRilO1",
"response_item_id": "fc_08efd988e539badb016a0c7e9e50a481918dbb4d9388905e9d",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\ngit add frontend/src/pages/BudgetGroceryOptimizerPage.test.ts frontend/src/pages/BudgetGroceryOptimizerPage.vue src/jarvis_finance/service...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\ngit add fronten...` -> exit 0, 1 lines output",
"tool_call_id": "call_cBm4aPbJzFZWoxtsQQSRilO1"
},
{
"role": "assistant",
"content": "Commit und Tag sind lokal gesetzt. Ich pushe jetzt `main` und `v0.3.2` ohne Force und verifiziere Remote-Hashes.",
"tool_calls": [
{
"id": "call_xEWqYS0yCncaY4JzEfawG2LC",
"call_id": "call_xEWqYS0yCncaY4JzEfawG2LC",
"response_item_id": "fc_08efd988e539badb016a0c7ea664bc8191b71f3980a8ebecfb",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nunset GIT_ASKPASS\\nTOKEN_FILE=\\\"$HOME/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv\\\"\\nASKPASS=$(mktemp)\\npython - \\\"$TO...[truncated]\", \"timeout\": 300, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Commit und Tag sind lokal gesetzt. Ich pushe jetzt `main` und `v0.3.2` ohne Force und verifiziere Remote-Hashes."
}
],
"id": "msg_08efd988e539badb016a0c7ea5a69c8191878caee7851035c4",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/.hermes/repos/FinanceManager\nunset GIT_ASKPA...` -> exit 0, 1 lines output",
"tool_call_id": "call_xEWqYS0yCncaY4JzEfawG2LC"
},
{
"role": "assistant",
"content": "`main` und `v0.3.2` sind remote verifiziert. Ich starte jetzt Dashboard aus `main` neu und prüfe Health/Tailscale.",
"tool_calls": [
{
"id": "call_EmOYoWOlHcO4PSuMIY8ue15E",
"call_id": "call_EmOYoWOlHcO4PSuMIY8ue15E",
"response_item_id": "fc_08efd988e539badb016a0c7eb8ab8081919a329e68a22ee223",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/.hermes/repos/FinanceManager\\nprintf 'branch='; git branch --show-current; printf '\\\\nhead='; git rev-parse HEAD; printf '\\\\ntag_contains='; git tag --points-at HEAD | tr...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "`main` und `v0.3.2` sind remote verifiziert. Ich starte jetzt Dashboard aus `main` neu und prüfe Health/Tailscale."
}
],
"id": "msg_08efd988e539badb016a0c7eb7c7cc8191972c98f8bab7d9cf",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"branch=main\\n\\nhead=27aa030c9bf09ca083364ea5e65dd61d8e73bc26\\n\\ntag_contains=v0.3.2\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_EmOYoWOlHcO4PSuMIY8ue15E"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_aKYl16jaxUh0gbbORRfN6Xgb",
"call_id": "call_aKYl16jaxUh0gbbORRfN6Xgb",
"response_item_id": "fc_08efd988e539badb016a0c7ec0324c8191bc5dda68340d65a1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"background\":true,\"command\":\"source ~/jarvis_runtime/finance-system/venv/bin/activate\\nexport JARVIS_FINANCE_RUNTIME_DIR=~/jarvis_runtime/finance-system\\nunset JARVIS_FINANCE_DB_PATH\\nPYTHONPATH=src uvicorn jarvis_finance.api.main:app --host 0.0.0.0 --port 8000\",\"watch_patterns\":[\"Application startup complete\"],\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"Background process started\", \"session_id\": \"proc_eb77e1e88c41\", \"pid\": 657377, \"exit_code\": 0, \"error\": null, \"watch_patterns\": [\"Application startup complete\"]}",
"tool_call_id": "call_aKYl16jaxUh0gbbORRfN6Xgb"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_EkiWGL7oJIVR2cw5yOOuQMOv",
"call_id": "call_EkiWGL7oJIVR2cw5yOOuQMOv",
"response_item_id": "fc_08efd988e539badb016a0c7ec68d84819189a74273effb11ca",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"background\":true,\"command\":\"export VITE_API_BASE_URL=http://100.85.29.67:8000\\nnpm run dev -- --host 0.0.0.0 --port 5173\",\"watch_patterns\":[\"Local:\",\"Network:\"],\"workdir\":\"/home/agent/.hermes/repos/FinanceManager/frontend\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"Background process started\", \"session_id\": \"proc_f15fff35cd4e\", \"pid\": 657392, \"exit_code\": 0, \"error\": null, \"watch_patterns\": [\"Local:\", \"Network:\"]}",
"tool_call_id": "call_EkiWGL7oJIVR2cw5yOOuQMOv"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_u9PEdq1cXFUiBGt26WVJrI77",
"call_id": "call_u9PEdq1cXFUiBGt26WVJrI77",
"response_item_id": "fc_08efd988e539badb016a0c7ecc77fc8191b7748c02ccc2618d",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\nfor i in $(seq 1 60); do\\n if curl -fsS http://127.0.0.1:8000/api/health >/dev/null && curl -fsS http://127.0.0.1:5173/ >/dev/null; then break; fi\\n sleep 1\\n if [ \\\"$i\\\" = 60 ]; then ...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"backend_health=200\\nfrontend_local=200\\nfrontend_tailscale=200\\ngrocery_api=200\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_u9PEdq1cXFUiBGt26WVJrI77"
},
{
"role": "assistant",
"content": "Release-Teil ist erledigt. Ich aktualisiere die Tasks und führe jetzt den kleinen Real-Bon-UAT mit 5–10 Produkten durch — aggregiert, keine Preise/Produktdetails im Chat.",
"tool_calls": [
{
"id": "call_sFkIhZp3aFsKiSbMUZ0n3tzv",
"call_id": "call_sFkIhZp3aFsKiSbMUZ0n3tzv",
"response_item_id": "fc_08efd988e539badb016a0c7ed818a8819180e4d1eac3f4991a",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"V2 nach main mergen, v0.3.2 taggen, main/tag pushen, Dashboard aus main neu starten\",\"id\":\"grv3-1\",\"status\":\"completed\"},{\"content\":\"Kleinen Real-Bon-UAT mit 5–10 Produkten durchführen; keine Preise/Produktdetails im Chat/Git\",\"id\":\"grv3-2\",\"status\":\"in_progress\"},{\"content\":\"Mapping-Qualität aggregiert bewerten und Mapping-Library Reuse/Reject/Manual/Refresh prüfen\",\"id\":\"grv3-3\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Release-Teil ist erledigt. Ich aktualisiere die Tasks und führe jetzt den kleinen Real-Bon-UAT mit 5–10 Produkten durch — aggregiert, keine Preise/Produktdetails im Chat."
}
],
"id": "msg_08efd988e539badb016a0c7ed711288191b999267a58dd374f",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_sFkIhZp3aFsKiSbMUZ0n3tzv"
},
{
"role": "assistant",
"content": "Ich wähle den neuesten echten Migros-Bon aus der Runtime-DB mit 5–10 Artikeln aus und arbeite intern mit IDs/Counts. Produktnamen/Preise gebe ich weder hier noch ins Git aus.",
"tool_calls": [
{
"id": "call_XdXJk4y46cetx4Nuf08L4njK",
"call_id": "call_XdXJk4y46cetx4Nuf08L4njK",
"response_item_id": "fc_08efd988e539badb016a0c7ee567b4819199c08b88efd24ee0",
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"arguments": "{\"code\": \"from hermes_tools import terminal\\nscript = r'''\\nfrom pathlib import Path\\nimport sqlite3, json\\nrepo=Path('/home/agent/.hermes/repos/FinanceManager')\\ndb=Path.home()/'jarvis_runtime/finance-system/data/f...[truncated]\"}"
}
}
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"id": "rs_08efd988e539badb016a0c7ede1124819180c9088f96b57af1",
"summary": []
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Ich wähle den neuesten echten Migros-Bon aus der Runtime-DB mit 5–10 Artikeln aus und arbeite intern mit IDs/Counts. Produktnamen/Preise gebe ich weder hier noch ins Git aus."
}
],
"id": "msg_08efd988e539badb016a0c7ee4d41c819188eb084318bd4b5d",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "{\"status\": \"success\", \"output\": \"{\\\"candidate_receipts\\\": 0, \\\"selected_count\\\": 0, \\\"selected_date\\\": null}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
"tool_call_id": "call_XdXJk4y46cetx4Nuf08L4njK"
},
{
"role": "assistant",
"content": "In `grocery_product_items` liegt noch kein echter Migros-Bon mit ≥5 Artikeln. Ich suche jetzt read-only in den bestehenden Budget-/Import-/Detailtabellen nach produktdetailfähigen Migros-Zeilen, ohne Produktdaten auszugeben.",
"tool_calls": [
{
"id": "call_AOWZaS4aHiEZHMm8lcWxgei1",
"call_id": "call_AOWZaS4aHiEZHMm8lcWxgei1",
"response_item_id": "fc_08efd988e539badb016a0c7ef33c708191abc948e56ab872fb",
"type": "function",
"function": {
"name": "execute_code",
"arguments": "{\"code\": \"from hermes_tools import terminal\\nscript = r'''\\nimport sqlite3, json\\nfrom pathlib import Path\\ndb=Path.home()/'jarvis_runtime/finance-system/data/finance.sqlite3'\\nconn=sqlite3.connect(db); conn.row_fac...[truncated]\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Investigating grocery products**\n\nIt seems like there might not be any actual grocery product items. I need to check if there’s a way to import them from the existing detail rows. First, I'll search through the tables to inspect their names and counts to see what’s going on. Let's make sure everything is safe while I do this. It sounds like a bit of a puzzle, but I’m ready to find the solution!",
"reasoning_content": "**Investigating grocery products**\n\nIt seems like there might not be any actual grocery product items. I need to check if there’s a way to import them from the existing detail rows. First, I'll search through the tables to inspect their names and counts to see what’s going on. Let's make sure everything is safe while I do this. It sounds like a bit of a puzzle, but I’m ready to find the solution!",
"codex_reasoning_items": [
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"id": "rs_08efd988e539badb016a0c7eeed6bc8191a99614215d675435",
"summary": [
{
"type": "summary_text",
"text": "**Investigating grocery products**\n\nIt seems like there might not be any actual grocery product items. I need to check if there’s a way to import them from the existing detail rows. First, I'll search through the tables to inspect their names and counts to see what’s going on. Let's make sure everything is safe while I do this. It sounds like a bit of a puzzle, but I’m ready to find the solution!"
}
]
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "In `grocery_product_items` liegt noch kein echter Migros-Bon mit ≥5 Artikeln. Ich suche jetzt read-only in den bestehenden Budget-/Import-/Detailtabellen nach produktdetailfähigen Migros-Zeilen, ohne Produktdaten auszugeben."
}
],
"id": "msg_08efd988e539badb016a0c7ef304d48191a3c28362c21c94f2",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[execute_code] `from hermes_tools import terminal script = r''' import sqlit...` (1 lines output)",
"tool_call_id": "call_AOWZaS4aHiEZHMm8lcWxgei1"
},
{
"role": "assistant",
"content": "Der echte Bon steckt in den importierten Line-Items, nicht in der neuen Grocery-Tabelle. Ich migriere für den UAT kontrolliert **einen** Migros-Bon aus Runtime-Line-Items in `grocery_product_items` — nur Runtime, mit Backup bereits vorhanden, keine Dateien ins Git.",
"tool_calls": [
{
"id": "call_UlTDHOcuzNPeABaxWG7NL2Lg",
"call_id": "call_UlTDHOcuzNPeABaxWG7NL2Lg",
"response_item_id": "fc_08efd988e539badb016a0c7eff88d48191a818ead517653e5a",
"type": "function",
"function": {
"name": "execute_code",
"arguments": "{\"code\": \"from hermes_tools import terminal\\nscript = r'''\\nfrom pathlib import Path\\nimport sqlite3, json\\ndb=Path.home()/'jarvis_runtime/finance-system/data/finance.sqlite3'\\nconn=sqlite3.connect(db); conn.row_fac...[truncated]\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Considering grocery product items**\n\nI need to create grocery product items from real line items and check the budget import line items. I should choose a receipt key, perhaps with Migros as a candidate merchant. The query aggregates without names, so I might seed or add real info if writing runtime is allowed with backup. I also wonder if I need to run a migration since the schema is already 34. I need to select and derive the purchase date and store, joining with budget transaction candidates where the merchant/source label exists.",
"reasoning_content": "**Considering grocery product items**\n\nI need to create grocery product items from real line items and check the budget import line items. I should choose a receipt key, perhaps with Migros as a candidate merchant. The query aggregates without names, so I might seed or add real info if writing runtime is allowed with backup. I also wonder if I need to run a migration since the schema is already 34. I need to select and derive the purchase date and store, joining with budget transaction candidates where the merchant/source label exists.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqDH7_rhPZrpoSvJ9TKeTfQkFKMZwVh-Xq5VirDNasA3Ow8DkHGJFRrERvFLKCeo-BOEVQ4J_0O6kHc1A_9RFkbwcduvpf0NH6NoDgsj4TOmztHl2rA97NpP_gAnK_foHmx3IMbceWFGxc71dT7kveFHXskMVl8pIeLKGR_-SDTezPXpsq2tY6Lz2A75NYpl29_4gW6UN-py1K6-FJwH43ZH-rSVy1igJ9-1gpG5JVjwSrYj_MbOkcX56Z8yxCj9fIfy8QgakBVbluYP2v4OTG2l_frq7yfCtBJfzgJyu1jh1k9pIeTZ-K4PAe65qKx2ItpEyfxBeqEY1LERCErXtX4wJvzhgViYmJyCtT6uIcyOC4gSYWTIv9QZlaeQMhSvnaRiXPJGNICqrBAO2ow0H8U_qIDydvyfZpSityaoC4aSedgLxdo9Rr3cqnHG7UxDofC-ezL7-4a9w-iRfFam1BTES30fMtGZ_lozLnlw8bkZufGcu_srwwk5kiyN0EI7y0AJ-h1ZNmXO56DUi48fAUJYUjhDS5i-0v1PELO_9EBEconFn0R2WUu71iGh-1GpEBiPP9ryVRD4nnLqpjnkAwwTV62Kfvc5quk6V3qrJtiz97Ra7LKKja58aV_8QbaXf0w3Udx0BPBOk-0pKRLwt1Gd7Ox00IaD_bhr9ZWlov4bO0ogdCAJpPbNl5NftHDaZW78Kz74ZYth06zOeLfOCguZGIW3qR9CSAAQwU6lQroAJZNHPjtW_EPv5hwi7F2I2Y9KJpixUyt001OdSJdumiHGBPmmliz_I4sz1tw3LJHUNnqusF16LNCAKD1W5SCaU1QVTh2S8ACpqx0EYFXTPfqtldFD8mnacLeJcCnl_CTsWC-rXZ7UvpJC3Vcr3q7WaR2Fmyuy32qPTsn2DfOieJN8ZOdLKFqXPgYfEZIVws-CuF68PQohqHrXoC1j5wLNrCYfBxBIKehG0PvWb3S2Oti17qAoop5GCGKkGE_QkJMWYhNEwg52GVu7RhM50Iz6qsF8I4tXN3qbbQCZRidNXQ__fztkixc1alOn6C3ROfCs279ngLqLIetydfnb2HZoiFbzIvXsO7QSlAd_Iw-ogI3Qm_pZ-GSYSUnRslKjDQIfAMtdoecNpdpDvNHq1gzb1K15ZuL_OxpGEgyq1pPa7exxjUw7dmanZBytyCM2yRrVUwqea7pdNezpKJVSBp-GNE5ky_dJio744PTgUfzH3OJS4VYLZM8WIKoLa0JFXn-cnq2pEXb0_587PjwZhSJQxx4JK32ALGzF2FrNI8Ym_3_kSt7shg3NX63xIBJaBRv-6MTvwwMMhEHzzkACFyc5KvQLR7il2rcwPCGvfMxgsKuAZjWFLYVE2Rpb5ko-nrZ13-kw4DE6LKJsaKw7vZ2GaoGkwrY4xPWgW4gnLlJtmjV9HpqGlWarw5PYQ_H5ntSTkNxjpndaf3Ml4Yq9HwdItvbU8nxeMFcT4IXivFqPSFbyZMBA==",
"id": "rs_08efd988e539badb016a0c7ef8e5788191b81b593ff2aa7f3d",
"summary": [
{
"type": "summary_text",
"text": "**Considering grocery product items**\n\nI need to create grocery product items from real line items and check the budget import line items. I should choose a receipt key, perhaps with Migros as a candidate merchant. The query aggregates without names, so I might seed or add real info if writing runtime is allowed with backup. I also wonder if I need to run a migration since the schema is already 34. I need to select and derive the purchase date and store, joining with budget transaction candidates where the merchant/source label exists."
}
]
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Der echte Bon steckt in den importierten Line-Items, nicht in der neuen Grocery-Tabelle. Ich migriere für den UAT kontrolliert **einen** Migros-Bon aus Runtime-Line-Items in `grocery_product_items` — nur Runtime, mit Backup bereits vorhanden, keine Dateien ins Git."
}
],
"id": "msg_08efd988e539badb016a0c7eff566c8191a7e12a83287b41b7",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "{\"status\": \"success\", \"output\": \"{\\\"candidate_receipts\\\": 10, \\\"selected_item_count\\\": 76, \\\"selected_date\\\": \\\"2026-05-12\\\"}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.43}",
"tool_call_id": "call_UlTDHOcuzNPeABaxWG7NL2Lg"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_pAIwoY9bWRNdfdKedAFlNJTw",
"call_id": "call_pAIwoY9bWRNdfdKedAFlNJTw",
"response_item_id": "fc_08efd988e539badb016a0c7f10a9c88191ba3930d4807255e0",
"type": "function",
"function": {
"name": "execute_code",
"arguments": "{\"code\": \"from hermes_tools import terminal\\nscript = r'''\\nfrom pathlib import Path\\nimport sqlite3, json, hashlib, sys\\nsys.path.insert(0, str(Path('/home/agent/.hermes/repos/FinanceManager/src')))\\nfrom jarvis_fi...[truncated]\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Considering manual mappings**\n\nIf there are no live results due to a provider failure, I think about manually creating mappings. The user wants real product mappings, and manual acceptance is okay. I can handle “2-3 matches manuell akzeptieren oder ablehnen.” If there's no live provider result, I can create manual mappings but should avoid inventing prices. I should create a receipt first and use the API search with a maximum of eight products from Coop.",
"reasoning_content": "**Considering manual mappings**\n\nIf there are no live results due to a provider failure, I think about manually creating mappings. The user wants real product mappings, and manual acceptance is okay. I can handle “2-3 matches manuell akzeptieren oder ablehnen.” If there's no live provider result, I can create manual mappings but should avoid inventing prices. I should create a receipt first and use the API search with a maximum of eight products from Coop.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqDH8Q5qQj7gtyHt8mXNBX7emCV0Fl3ilOtMgRhSw6C0okRXIPvyySDWULqpXl4eR-5hbVmHfQCW1TvS5-O_H6x4MKXPNzk_05uOrDDAhBhomTz3PLvbG42YaEvzOLBVoHGL-KcvPiOxUZid7hSd3qbXXBsOSkLEFD4Yr5w5AqpAFGCjg8kTKxatKCnSlPCfRxGW7zB1-qc_spx5wDLBF677VKJmbj_8pmvJg6uXhYfbt6_G9Ua8FWg7U8F0uOBSlL1VY2DSsS-IfXrsosQhmA86ibWmvWPNydIH12zMDIpkRwyIBaSfFD8rqsXvHspQv_mRvIqlKZTLU1jUKYnIp79QbHwgEvH0DAv7coi2ZnpG44T1cLS-eqx2NjL0kFL5X3oAWBoozDdHpkIGBvhBINfnHgrSFFucvcKil5k74wrT-PN1P2Ih3IE1nKjr9ZUYuNfwAF7CFnvMlFU522A9qUxbNIlPfJpCPa-7eC38ZOd-GwGzQQ6gYyzxfFyWLJuJ-wP9WCzFGvRuiBV5nda5XFfPmhTKm8hc0X_vaAX2YrZvLsiMyt6gBYSwwB6J0Q4HRrI0GkYevf91-CD7_PgG4B98ay8Cc3doLfPlY78lu07Jx0k5Q_smJXECS0IaMPfKZUxJHq-wftQMvgmtOpX3bw4UqypzFmeISC34g1iZaahTco7UpZnX85a-1QK-sXTzScvrDMM2nJ2mTPcKx6e5DhIHMCS8hZPZ8ov9l3ERdUEzRH-WgM7bpdyjRHjb2SS_tQz1k8MpjVnGe9PyS4SWVe0BrOctcN0INgPuOA6PlTl5sCEyJGj0-7n1aHMS2seW3fYdmKnidzkK5TSi7Y8fQ4xWOKLGyn-moqYv3M2HEvSSv16s-8YbEEgV-1hpAfMnawaX8pgzR1aoppBmxUQpKaemXjf2EBUvmrZeOQdlsHsdYKOWJQk7GZX2PHrkW00QCsIIvhlidazM1jR_MwlE_RA6AQPcZDc729FtcOt4VbfP7_0PCA2c0yjjDfm5mw7PPcQUPXnm_KhLMWFCbUVYggrlGJfsfhIPnGd3zcR6b72uqAVtU3Q1fr0jqMdQgEiWAnBGMXzx_8kfF_7BOCP7VzULHdC4mx5rO_nTa11NhwtVXx22NP_RfzZYp8lT-IXFTJ7uxN9bxjnZT5DnHUprbIE1zwp3dqYOtJP1hb0m8Fmd2PSNWwySdBIWOUuG2S5q5GhQVmOopLd3Q9iUHANrE55Zafu_zQdWRiRGeO0yL9znVpZxA8Zw5Q3r3WOJf6frajqb1sxbXJJc0s5KdgMUMc0HXMz8S7_IEG6Bdcm-XrOlVX9ilUQUOKP0bPFNklKMg0-BSumeLeezR92ll8RvReIip5vZ3FZRSyJPpt8qF5B9IfLi-7vtbRFv2e07DQesrOSN7U82koXPGS5sWoQILZgYK_nRDEt-l1QSNeuRrKZ-LoEp33Oj7EU_ontXKyCc9Igb-pJBdU0jCwsCCMwBXCqY40N8FBK8qfCYbQWIa3CiS9fDT3uaXSO43fvKQxbI76R8HtcGWP_afcB0zmi5SZ6UCdPHRA0MiWMQxaVB91EyOvdpwdsw83pZTT-K2d3r5Xxf6zTG7aUACyyf6ZvkiHXZIoFGS7h7oU-gj9ZQbl_Trvl6-T7HtYV49GPMJaSazacTQzOR7Cri-nEJUmzmAw4w3f7Vsr4EmwIbLfsNoxQpSGPnolikrKqAV4csfQJr-BjBlgMFAMc0Uku2rO45lqh2kyOD-qHIuE3u9j6lPSX4-Hsc6L1w5Cpbb9Ex_eev1_9Uhh7ohVTrWkXuM0ixhXLoXiAyo-cxYHKW3ebKVQPNYA8DlpxHub3ESFMU34vQJRDTnmQBNQx3AV6F33xaRkkBnx_6GN4I_KHFNaBGOjQfQseahVE0HOzQGBzEr4pe4ZmeCsbPZspZGql6keLAog1yo_Rl9HL4nUdlm0B1FOaCmakQNUvzhtzSn27yiamirc00qVAKtV5LsVc39CF6C3-UbHGIgpRQQuVouQBAD4oEtbPw0ohniDoWdp_jwDGFVPECYlp5KmvtwoaZ0lISBphM7CcynyVcRoI2oGreoZzFPwAK9Spi7pcMmPT_L4LI0z9m8va2unA2S_Nb8n5Pb2bum-DDEb7wqZPJ-fL0bdZWExIbOv-86IGkD6Bor4zt-KZ87VSoA3o2PVMmC2oBP70l-FOS7uyikq2N7Vbo2ex7Bhdw93N0FDjcGyHOCt5Jku1IP7NUqE5rm4_tmijkTvWZ5T6YDhFEWGmgHF9Q-EEHgzmXTu_D3x8NY9B1C6_4cxShMO4oIfKzW1f29tc2uoby7BQGEXQZCxR_GOldgI1e2LeGpIpoAAtrtLbdaXyaGd0XbkQf4iLKzN7TLOo8g9Cbbyy0TntZPF6SfXwyXWH0Qu5CcjM0TX2wiZ8A0zAUyCAP1viQL81gLxBzmafHynMEr5HrtJRQJP8veCc_z95nvcCRKBSbPfEDKa9S6odJwKo5wymWAopqCn2EX6JQpQ_T5LKi_JK-S7uuOS6aD7M73gbh3f3WKkos3-8apYUTVOQufqc5gMQAUQI-6oxhKa_jkU_ISQm78xfCdYHfxSynkiXN99_4_ZFV8LFOmK0Wq5gBpzAyihqvkSqPdhQZLhUYOWA_O5SER7uxOiLbmjDQCVnvS6AUEKKfQ3Ik0KeHCO0rMxtR_iyW1w7zfm96ARKZnfz1HULhst_IXM2aWEMMGglzvhyQBeFQqSApHGmAO2r9SVZSP34QkFP7hqpG3p3ajRb0oP9bWxxMKOiGzSxCL3MysxEZiCr6_YQOgZ_MFk0HO3H_leGZ6kvVf5JyGTsRld3xApgHqo-aETc_Yb9gerN8XGjqsJDGeNLUUuLcgg839bxpkxYAJuCMyni0SVFetyrw==",
"id": "rs_08efd988e539badb016a0c7f05c6bc8191a6e8a5fa4738317c",
"summary": [
{
"type": "summary_text",
"text": "**Considering manual mappings**\n\nIf there are no live results due to a provider failure, I think about manually creating mappings. The user wants real product mappings, and manual acceptance is okay. I can handle “2-3 matches manuell akzeptieren oder ablehnen.” If there's no live provider result, I can create manual mappings but should avoid inventing prices. I should create a receipt first and use the API search with a maximum of eight products from Coop."
}
]
}
]
},
{
"role": "tool",
"content": "[execute_code] `from hermes_tools import terminal script = r''' from pathlib...` (1 lines output)",
"tool_call_id": "call_pAIwoY9bWRNdfdKedAFlNJTw"
},
{
"role": "assistant",
"content": "Real-Bon-UAT-Subset ist angelegt: 8 Produkte, Runtime-only. Jetzt starte ich die explizite Websuche über den API-Flow mit begrenztem Scope.",
"tool_calls": [
{
"id": "call_OQdZgVgdwGFk371LzL81coKK",
"call_id": "call_OQdZgVgdwGFk371LzL81coKK",
"response_item_id": "fc_08efd988e539badb016a0c7f1cd750819191c61720b1e700fc",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\ncurl -fsS -X POST http://127.0.0.1:8000/api/budget/grocery-optimizer/search-prices \\\\\\n -H 'content-type: application/json' \\\\\\n -d '{\\\"receipt_id\\\":\\\"uat_real_migros_ccfd30c93c00\\\",\\\"retai...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqDH8cQkduyvVD7L4qpqkMA8L3Ct_KCqNzEfbqLcfQ08by-KtmGa6PgtMY8ELaG0iMnH3ZPQLd9tVNuK6ZBWfjbIeyjwAuoSWWcAOzvDui9MCt_nn9DmwdE2bwBQsg-iivt2bFLa8RzrNfPYzLHgst4j-KtRuRez3gibdyZw39hPMtsMfb0oBzx5UPHwpn_Kyz_usoSSnbejPeXHNuSjulXud79e1Hfx6g4I8_YlF6htohltTzF4fWb45ORvZrXlVxu-ZY3NlYo7OFa5WmE9_RVmikpCgS1ONWEcEYYsKAroG82t7YxH1eXs1otXxIz9M-CpXE_9gFOIGe6OmTyMQTnSQ7SUiTHGuK_i26B1W5xnGKkd5kiQoVtwRVeEq_T-3_XT2aOKs1ga5vnL2HDmLdttNvE2gSVvs6QyHT4-YSonkQVh4y8VpGLRlHVExGSPBjWbTLsEeNISoqI8JeSzdztTdBDosJ16j9XXxqvGr6WWt3db_UuOzvUDn1DvbVobVAfNcoglHFVV-2YI9aHb7QFvAPCWZmwvIh-I9IEt50kte2p_ONCenLO1wVbwtGYkC6VarLdBvKCijvdJAIOnewRHi-5S5_tGtkADflRDBfWJlMow2LuopUXrK6-L-1g5xTOgaNV-pNM4nlm3v4fZwNoF1pqkemDdJxcwkGrV8DDiKT58tn0zXZWePovF0wl64nOn8I7gys0Fo_FAwObR-ecnOUn3faFpIls5RpY0ckRKxQk3_vtOQep7CWkpGrNJu6gfJnitCpPXtBux2U7bQSMUIdU4d_HaOHOJzFwE9I-hXpe-yDM7idl78XTqqvZkoD0mkcg_bLAxxDcPDPCYN2aeRmkn0D7PIaXro8g52_6lBFsrzcAu0D8cC7vT1nPRfUIMMUE35hb4EeG72m3SRZ8cKxI1iC2BLD07jJVfzxTZCqMeNUYyBn-feEFwFzociUkHq-",
"id": "rs_08efd988e539badb016a0c7f1ba5188191bd438480579d5e46",
"summary": []
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Real-Bon-UAT-Subset ist angelegt: 8 Produkte, Runtime-only. Jetzt starte ich die explizite Websuche über den API-Flow mit begrenztem Scope."
}
],
"id": "msg_08efd988e539badb016a0c7f1c08948191989b529b732cd1e2",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncurl -fsS -X POST http://127.0.0.1:8000/api/budget/grocery-...` -> exit 1, 1 lines output",
"tool_call_id": "call_OQdZgVgdwGFk371LzL81coKK"
},
{
"role": "assistant",
"content": "Die Pipeline war technisch falsch (Here-doc hat stdin verbraucht), nicht der API-Call. Ich wiederhole die Websuche und fasse die JSON-Antwort ohne Produktdetails zusammen.",
"tool_calls": [
{
"id": "call_3r6kTcoQglA4MFUkdo04kXN3",
"call_id": "call_3r6kTcoQglA4MFUkdo04kXN3",
"response_item_id": "fc_08efd988e539badb016a0c7f2a187c8191a23277ba8152fbad",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\nresp=$(curl -fsS -X POST http://127.0.0.1:8000/api/budget/grocery-optimizer/search-prices \\\\\\n -H 'content-type: application/json' \\\\\\n -d '{\\\"receipt_id\\\":\\\"uat_real_migros_ccfd30c93c00\\\"...[truncated]\", \"timeout\": 180, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Figuring out stdin consumption**\n\nI'm looking at an issue where the here-document seems to be consuming stdin. I think I need to set up a pipe to pass it to a Python command, using the `python -c` option. This way, I can ensure that the data is properly directed. But I wonder if I’m missing something in the execution flow. Let's make sure I’m getting this right so that the input works as intended!",
"reasoning_content": "**Figuring out stdin consumption**\n\nI'm looking at an issue where the here-document seems to be consuming stdin. I think I need to set up a pipe to pass it to a Python command, using the `python -c` option. This way, I can ensure that the data is properly directed. But I wonder if I’m missing something in the execution flow. Let's make sure I’m getting this right so that the input works as intended!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqDH8pFQbmdpcnNWtNlXXMNdlCFb_lz7WYKuHnTqrBOj0yZXQWcJ3zOXC3T2rPgCANFCBgAOYBvS4pWiDsWzJxfu2TWfCu69EoySY929ffQw0kyx5FhjsqQGq4zE6SQBTM_8nyVVxwD5gEXqHzszrafjMBzFZWv5DwsQE7a3cqGd4kLal936rjQZ1UicxxwkCTcdPvEFI9-AJLuhp06xk7zH8ohWi2p5qip_UXt8woSBrzvTITSZR6c3FrlzzTjHtMs_jJlcnlEpHGK4uMw3Zf35gYGQuyJKTLwVp31Jg6lPGZOUZtRXVP0DHO6Wty3j6pCYLY2nQ5UcX99olvIqbNhRr-fzoXuAHcdtTnE0-_CwB7eOg-FcV7bS1-6c6ZuNZZLVDN6iRLkHp_eXotzEF-jnX3wo_DQhomD_B89H2KdBosWRQ7ToqjEtu9-ZFZePoJgEPVLblSZnrPl8gkb3JrmiH60jPtDjX1XBirb71j5bdlwRpZembhLLHxW396WEiCwjzo1sTujUdzKpEZxj7NdUdfE89GeGaIyjfwv41xQMcyYAic868gLlSM44StbNYjUNdGtsh3WM7kOLZc18iNbBsz7_zDVcw0g0IC__yPj9UHRqq-JYqVyrXwJGKLRGAdX93yLxMHYz1ScKp0aLM-M54GQKujRkjfCpGUQZQiUpIbePeVft9Wpyl9KsAUsTgmg8YgYSrutaIlVxaX_P4ZEYDaaJTvjwil8V1ebkyN4VI5TX20d06Z8vCn4HbU3R619I-k_CEk_UbHRgkqXbrSGTUkn1urUJhpq-849B5e1ACRnr0iKpwjmoLS6VHR5pcSyDynk3IUzZSRd1aGOmsQXluGoKmhi65P7mb1lhRjJ3IS5qxdl_A_5jY2WflwhrGelZNf7tz6wNRXs7eiiabft1ZkAmRKk3IY8fAHCKkGLHMj1JAzh5rVXzf0fROKo-7EUd-9EamQl9YszGFzFyj6UhseodYx95pHxUdA8_s3_YVH7F0=",
"id": "rs_08efd988e539badb016a0c7f27da448191b1df50dd98dd7572",
"summary": [
{
"type": "summary_text",
"text": "**Figuring out stdin consumption**\n\nI'm looking at an issue where the here-document seems to be consuming stdin. I think I need to set up a pipe to pass it to a Python command, using the `python -c` option. This way, I can ensure that the data is properly directed. But I wonder if I’m missing something in the execution flow. Let's make sure I’m getting this right so that the input works as intended!"
}
]
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Die Pipeline war technisch falsch (Here-doc hat stdin verbraucht), nicht der API-Call. Ich wiederhole die Websuche und fasse die JSON-Antwort ohne Produktdetails zusammen."
}
],
"id": "msg_08efd988e539badb016a0c7f29fa548191ad512d1929a0130c",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\nresp=$(curl -fsS -X POST http://127.0.0.1:8000/api/budget/g...` -> exit 0, 1 lines output",
"tool_call_id": "call_3r6kTcoQglA4MFUkdo04kXN3"
},
{
"role": "assistant",
"content": "Die kontrollierte Websuche lieferte reviewbare Kandidaten, aber **keine sourced Preise**. Daher akzeptiere/lehne ich nur auditierbar als Mapping-Review, ohne diese als sichere Ersparnis zu zählen.",
"tool_calls": [
{
"id": "call_kkFY01eCyg3lzFxXNWvbgX9X",
"call_id": "call_kkFY01eCyg3lzFxXNWvbgX9X",
"response_item_id": "fc_08efd988e539badb016a0c7f3b95f88191bdc96c94005e774b",
"type": "function",
"function": {
"name": "execute_code",
"arguments": "{\"code\": \"from hermes_tools import terminal\\nscript = r'''\\nimport json, urllib.request\\nbase='http://127.0.0.1:8000'\\nbody=json.dumps({\\\"receipt_id\\\":\\\"uat_real_migros_ccfd30c93c00\\\",\\\"retailers\\\":[\\\"Coop\\\",\\\"Migros\\\",\\\"Denn...[truncated]\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqDH87RIjoherAHSZetqZRy3l6QKGV5kO8lO3tPsur8XyIZC6GWnRwe3OfHrbl0b7tsRj0mADeEa2u8YssWSTXreBCQTO4ltDGQWInF3FyJ4-38-kwsJYKJMg3sjWCBITE-GaqNxJNMr_qt1PaDxjyM1HfP4_bC1D0ZUCPnlqLGQdjPLIKXVoIXsg3belDV_N0ggYGocMdF8P5VfoXgokzaiVvInNZZECXCxtA0IIjBHwA1sjdlpVavIdEj7ILyrCfJCPVRjLeEVNvcaubu5PgrbpetnELLM8SjcyOFkZ1sYk3DVzEfdzfuo8_1_LOWQ_yycig-dElPF5Z0UtFDLgKGzCCI7cRSDtCb---1H_i-6F62cgoPPiEArpWJePH--qCByYPYfQVYVqFa38DONYsUy8kRwUPwbX6lmFcXPJnK0VhxYIf6j7x6XH_Vq_Bb0KLpPzcpdiSv_CFBkfoVFr-MKfSpYJp2EMoYxQ86DaM31AhfE6RXJ5bpLeG2BTclUMhPtIse27sBCRHD_OE5nrrfMS1HmDd41uhNLgQc7i-QKJv6_x3bJrkvfEMX3bR7dk-ZmrTFg-KlTEopSheZnSF5jw-zP7rA8NrBhUK27M1kiKaDBdy-6e0H2YG6qkUOPK4VwCR9MQQ7Y_-869V4GvSEAtw8qtfMGbweMdLOCeCstelyMomMt00JjeNC36g-exrMib3IYQKXgokinFH_8_eR0Kl3pWvbbT9MAHz70Lxw1jqwEcH9zhOJZnIrifhUWhAXskdpzPRE1Lj0bVeGdu1EOAUiGEY-YV5WE6a7vx8KQstGuQ7z7JUcKXMgoH_jX957elTFGbaeuneZG6Woz40TLL-tH5QD8zxE3e20yceviBk0i1KP7qYr-IrX0q9qa-LOYwY93qbs4_Qbjki5HzCwQRjo-zuyZPD7y_6tnk_cJrZ2FawgJc1Cu9GeiXCJ0CIcW2BkH7u93frKryh4xOrO9GOCfpsHyqfFR_kMUFml4xGTjuHR_FsDDCCeiHpiD0zVVs3-Jgx6ufwMEGR3ITYtobDDHuY-kOoAj5iDY9_aEp-wTFWuPT62n4o0P-HcA9grlizQdzX24VrsET7FujHAPvEFfxT35Ru0c6xIcoMuhgLJqrmnIW25ycRkUIyYi7Ng1TIBguV3fwaF8BraIefoqfkR1Y22WoEqBrEzY4elezQyKqSgF0m8H6cWKPiTa3aFmsdxsVuUf_DsDLe675GcpaXTkVp3nwhe-Lnfpbv7CuZboGnzc7WmZPecqFXw49rDWU4TopttnBIZBWbvLbblEZrF4GXU83w3wI3R7YZjMI4yJ3YAeTAJkFX0D8qOYLIsPbaXeuzXNLMHSt2v_wcWFXFhz85hwgx0l3Pfl4BCZ7iIcebYagTed9h325VqOofT_maU1Aoi-OV7zbNlllr1u3PO_3kgEo0OFtYCXwpyM7wKzko3LEVcZ3h120Zq7Z8JFxCBX-s6lnQTg3QhleI9uO5DDrRY8B-73wmriPhrIBAGMHvWHf-StCVI2KR3mnGjiAi5q43X7aBeO4_8D7feEsKwkgcIBPNeinlbfobG7N4idQYrqGBKQ922TL47fG_RYb0uakQvA3f_bf3wMMVtPaGjMfljixFUJ_nenPpBCr8f-PoDol5wg26pWayTTlEA06Amx1qV9OLeYNAXuHDewSlpdCYfa4jvSDeY7CbW_vmQeSyY2li_T8dkdSg4cWgDeVYIF91DLIyvxfUcbqmOz-u-IwlILNMUFKHb-2pUUzJLA8=",
"id": "rs_08efd988e539badb016a0c7f3756688191b85df7d0ebd0179f",
"summary": []
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Die kontrollierte Websuche lieferte reviewbare Kandidaten, aber **keine sourced Preise**. Daher akzeptiere/lehne ich nur auditierbar als Mapping-Review, ohne diese als sichere Ersparnis zu zählen."
}
],
"id": "msg_08efd988e539badb016a0c7f3b37a4819198a597478ba26fb4",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[execute_code] `from hermes_tools import terminal script = r''' import json,...` (1 lines output)",
"tool_call_id": "call_kkFY01eCyg3lzFxXNWvbgX9X"
},
{
"role": "assistant",
"content": "Eine Accept-Aktion ist mit 500 fehlgeschlagen. Ich prüfe den Backend-Fehler und behebe, falls es ein echter Edge-Case aus dem Real-UAT ist.",
"tool_calls": [
{
"id": "call_Bw8zHqUhFsWOKVMH7XFZczSO",
"call_id": "call_Bw8zHqUhFsWOKVMH7XFZczSO",
"response_item_id": "fc_08efd988e539badb016a0c7f4b7f048191b7b7c02561a3ccb8",
"type": "function",
"function": {
"name": "process",
"arguments": "{\"action\":\"log\",\"limit\":80,\"session_id\":\"proc_eb77e1e88c41\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
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"text": "Eine Accept-Aktion ist mit 500 fehlgeschlagen. Ich prüfe den Backend-Fehler und behebe, falls es ein echter Edge-Case aus dem Real-UAT ist."
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"content": "Real-UAT hat einen echten Edge-Case gefunden: Provider-Error/`needs_review`-Flags dürfen beim Akzeptieren nicht als `match_type` in die Mapping-Tabelle wandern. Ich fixiere das jetzt test-first: unsichere Provider-Kandidaten werden als `manual_match`/`needs_review`-Mapping auditierbar gespeichert, nicht als sichere Ersparnis.",
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"content": "[terminal] ran `source ~/jarvis_runtime/finance-system/venv/bin/activate && unset JARVIS_FINA...` -> exit 1, 1 lines output",
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"content": "[terminal] ran `source ~/jarvis_runtime/finance-system/venv/bin/activate && unset JARVIS_FINA...` -> exit 1, 3 lines output",
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"reasoning": "**Adjusting price matching logic**\n\nI need to check the flags, especially for close matches, even when there's no price. Should I include a desired state? If the test indicates no price, then there's a fallback to a manual match. I might need to adjust the code to ensure that if there's no candidate price text available, it defaults to this manual matching process. I want to make sure everything works smoothly and efficiently for the user!",
"reasoning_content": "**Adjusting price matching logic**\n\nI need to check the flags, especially for close matches, even when there's no price. Should I include a desired state? If the test indicates no price, then there's a fallback to a manual match. I might need to adjust the code to ensure that if there's no candidate price text available, it defaults to this manual matching process. I want to make sure everything works smoothly and efficiently for the user!",
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"content": "Der UAT-Edge-Case ist lokal gefixt und testgrün. Da `v0.3.2` bereits ohne Force gepusht ist, verschiebe ich den Tag nicht. Ich nutze jetzt den gefixten `main`-Working-Tree für UAT, verifiziere final und pushe danach einen normalen Hotfix-Commit auf `main` — sauberer als Tag-Herumbiegerei.",
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{
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"text": "**Considering versioning and tagging**\n\nI need to restart the backend to apply a fix before UAT. The fix isn't committed after tagging v0.3.2, which means I might need a new commit. Since I already pushed the tag, I can't overwrite it. Instead of moving the tag, I could create a new v0.3.3 release. The user mentioned v0.3.2, but we found a bug after tagging. Committing the hotfix to main and tagging v0.3.3 seems like the best option."
},
{
"type": "summary_text",
"text": "**Planning versioning steps**\n\nSince I can't force a retag, it might not be ideal to create a v0.3.3 tag without fully verifying things first. The user is asking for v0.3.2, so I should hold off tagging the hotfix until I get more confirmation. The release tag is already out, so I need to stabilize the main branch with the hotfix. I'll report that the \"Release tag v0.3.2 was set,\" and we found a post-tag issue during UAT that was fixed in a follow-up commit. I'll focus on restarting the backend with the fix before UAT."
}
]
}
],
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{
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"text": "Der UAT-Edge-Case ist lokal gefixt und testgrün. Da `v0.3.2` bereits ohne Force gepusht ist, verschiebe ich den Tag nicht. Ich nutze jetzt den gefixten `main`-Working-Tree für UAT, verifiziere final und pushe danach einen normalen Hotfix-Commit auf `main` — sauberer als Tag-Herumbiegerei."
}
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"arguments": "{\"code\": \"from hermes_tools import terminal\\nscript = r'''\\nimport json, urllib.request, urllib.error\\nbase='http://127.0.0.1:8000'\\nbody=json.dumps({\\\"receipt_id\\\":\\\"uat_real_migros_ccfd30c93c00\\\",\\\"retailers\\\":[\\\"Coop\\\",...[truncated]\"}"
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{
"role": "tool",
"content": "{\"status\": \"success\", \"output\": \"{\\\"review_actions\\\": 3, \\\"accepted_needs_review\\\": 1, \\\"rejected\\\": 2}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 1.63}",
"tool_call_id": "call_4fsEnYesdtiEiudV6ZIcAkKg"
},
{
"role": "assistant",
"content": "Review-Aktionen sind erfolgt: 1 akzeptiert als `needs_review`, 2 abgelehnt. Ich erzeuge jetzt Einkaufsliste und Runtime-Report und erfasse die Mapping-Qualität aggregiert ohne Preise/Produktnamen.",
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"id": "msg_08efd988e539badb016a0c7fd966d481919270e6d50cdf13e1",
"phase": "commentary"
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},
{
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"content": "[execute_code] `from hermes_tools import terminal script = r''' import json,...` (1 lines output)",
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},
{
"role": "assistant",
"content": "UAT-Run und Runtime-Report sind erzeugt; Report liegt außerhalb des Repos. Ich bewerte jetzt Provider kontrolliert aus Code + kleinem UAT-Ergebnis, ohne weitere Massensuche.",
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"reasoning": "**Assessing provider details**\n\nI need to conduct a provider assessment, but I should start without specific product details. Maybe I can first query the hidden items. Assessing from user acceptance testing (UAT) might be useful since I have Coop, Migros, and Denner, but I lack prices. I should also include Aldi, Lidl, and Otto for a skeletal outline. It sounds like I need to inspect the classes of the providers to gather more information.",
"reasoning_content": "**Assessing provider details**\n\nI need to conduct a provider assessment, but I should start without specific product details. Maybe I can first query the hidden items. Assessing from user acceptance testing (UAT) might be useful since I have Coop, Migros, and Denner, but I lack prices. I should also include Aldi, Lidl, and Otto for a skeletal outline. It sounds like I need to inspect the classes of the providers to gather more information.",
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"content": "Providerstatus ist aus UAT+Code klar: Coop/Migros Live-Search liefert aktuell keine parsebaren Preise im Real-Bon-Flow; Denner/Aldi/Lidl/Otto’s sind bewusst Skeleton. Ich mache jetzt finale Tests/Scans mit dem UAT-Hotfix, commite/pushe main, und lasse danach Browser-Sanity laufen.",
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"content": "Browser-Sanity für Route/Bon/Analyse/Einkaufsliste/Report ist grün. Ich prüfe Accept/Reject zusätzlich über echte API-Aufrufe aus Browser-Kontext, damit der Flow in der laufenden App abgesichert ist.",
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"content": "## Grocery Optimizer Release & Real-Bon UAT v3 — abgeschlossen\n\nSir, erledigt. **Kein Health-/Histamin-Sprint gestartet.** Fokus blieb auf Release, Real-Bon-UAT, Mapping-Stabilität, UI/Report-Härtung und kontrollierter Provider-Bewertung.\n\n## Release / Git\n\n- **Branch nach `main` gemergt:** ja\n- **Merge-Konflikte:** nein\n- **Working Tree final clean:** ja\n- **Keine Force-Pushes:** ja\n- **Release-Tag gesetzt:** ja\n - Tag: `v0.3.2`\n - Tag-Commit: `27aa030c9bf09ca083364ea5e65dd61d8e73bc26`\n- **UAT-Hotfix nach Tag:** ja \n Der Real-Bon-UAT fand einen echten Edge-Case: no-price/needs-review Kandidaten konnten beim Akzeptieren fälschlich als unsupported `match_type` durchfallen. \n Fix normal auf `main` gepusht, **ohne Retag/Force**.\n- **Aktueller `main` Commit:** `c855c7772db6d8addb58d3b053304d680e58f0d7`\n- **Push-Status:** ja, Remote-Hash verifiziert\n\nDashboard läuft aktuell auf **`main` @ `c855c7772db6d8addb58d3b053304d680e58f0d7`**.\n\n## Laufende Services\n\n- **Backend:** `200`\n - PID: `658439`\n - Lokal: `http://127.0.0.1:8000`\n- **Frontend:** `200`\n - PID: `658452`\n - Lokal: `http://127.0.0.1:5173`\n - Tailscale: `http://100.85.29.67:5173`\n- **Grocery API:** `200`\n\n## Real-Bon-UAT\n\n- **Real-Bon-UAT durchgeführt:** ja\n- **Quelle:** Runtime-DB, echter Migros-Bon aus importierten Line-Items\n- **Produktdetails/Preise im Chat:** nein\n- **Produktdetails/Reports im Git:** nein\n- **Anzahl getestete Produkte:** 8\n- **Massensuche:** nein\n- **Websuche nur explizit gestartet:** ja\n- **Automatische Bestellung:** nein\n- **Login-Scraping:** nein\n\n### UAT-Ergebnis aggregiert\n\n- **Matches gefunden:** ja, aber nur reviewbar\n- **Sichere Ersparnis:** nein\n- **Sichere Matches mit Preis:** 0\n- **Preis vorhanden:** 0 von 8\n- **Einheitspreis vorhanden:** 0 von 8\n- **Packungsgröße vergleichbar:** 0 von 8\n- **Einkaufsliste erzeugt:** ja\n- **Runtime-Report erzeugt:** ja\n- **Report im Git:** nein\n- **Report außerhalb Repo:** ja\n\n### Review-Aktionen im UAT\n\n- **Akzeptierte Mappings:** 1 \n Status bewusst `needs_review`, weil keine echte Preisquelle vorhanden war.\n- **Abgelehnte Mappings:** 2\n- **Needs review gesamt:** 2\n- **Später prüfen / ohne belastbares Mapping:** 4\n\nInterpretation: Der Optimizer ist als **Review-/Mapping-System** brauchbar, aber die Live-Provider liefern für echte Migros-Produkte aktuell noch keine ausreichend stabilen Preis-/Unit-Daten. Also: Alltagstauglichkeit für Mapping-Lernen beginnt, echte Sparberechnung noch konservativ/limitiert. Langweilig, aber sicher — wie ein Schweizer Fahrplan, nur mit weniger Pünktlichkeit.\n\n## Mapping-Library geprüft\n\n- **Akzeptierte Mappings werden wiederverwendet:** ja\n- **Abgelehnte Mappings werden nicht erneut prominent empfohlen:** ja\n- **Manuelle Zuordnung funktioniert:** ja\n- **Preis aktualisieren ohne echte Preisquelle:** blockiert/bleibt reviewbar\n- **Cache-Status sichtbar:** ja\n - frisch\n - veraltet\n - fehlt\n - Fehler\n- **No-price Accept-Fix:** ja \n No-price/needs-review Kandidaten bleiben auditierbar und werden nicht als sichere Ersparnis gezählt.\n\n## Provider-Bewertung\n\n### Coop\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein im Real-UAT\n- **Einheitspreis parsebar:** nein im Real-UAT\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** mittel\n- **Empfehlung:** nur kontrolliert/manuell nutzen, nicht produktiv für sichere Sparberechnung\n\n### Migros\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein im Real-UAT\n- **Einheitspreis parsebar:** nein im Real-UAT\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** mittel\n- **Empfehlung:** nur kontrolliert/manuell nutzen; keine automatische Preisannahme\n\n### Denner\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein\n- **Einheitspreis parsebar:** nein\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** niedrig, solange deaktiviert/Skeleton\n- **Empfehlung:** Skeleton lassen, UI: noch nicht live verfügbar, manuelle Zuordnung erlauben\n\n### Aldi Suisse\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein\n- **Einheitspreis parsebar:** nein\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** niedrig, solange deaktiviert/Skeleton\n- **Empfehlung:** Skeleton lassen, manuelle Zuordnung\n\n### Lidl Schweiz\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein\n- **Einheitspreis parsebar:** nein\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** niedrig, solange deaktiviert/Skeleton\n- **Empfehlung:** Skeleton lassen, manuelle Zuordnung\n\n### Otto’s\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein\n- **Einheitspreis parsebar:** nein\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** niedrig, solange deaktiviert/Skeleton\n- **Empfehlung:** Skeleton lassen, manuelle Zuordnung\n\n## UI verbessert\n\n**UI verbessert:** ja\n\nErgänzt/geprüft:\n\n- Produktfilter:\n - alle Produkte\n - ohne Mapping\n - mit akzeptiertem Mapping\n - needs_review\n - abgelehnt\n- Produktliste zeigt:\n - Originalprodukt\n - normalisierter Name\n - akzeptierte Alternative, falls vorhanden\n - Cache-Status\n - letzter Preischeck\n - Status\n- Ergebnisbereich trennt klar:\n - Sichere Ersparnis\n - Unsichere Vorschläge\n - Nicht gefundene Produkte\n - Abgelehnte Produkte\n- Unsichere Produkte werden **nicht** in sichere Ersparnis eingerechnet.\n- Einkaufsliste:\n - max. 3 Händler\n - Produkte ohne Alternative separat\n - Mapping-Liste anzeigen\n - Preise aktualisieren\n - Report erstellen\n\n## Report verbessert\n\n**Report verbessert:** ja\n\nRuntime-Report enthält jetzt:\n\n- Bon-Auswahl\n- analysierte Produkte\n- akzeptierte Alternativen\n- abgelehnte Alternativen\n- unsichere Produkte\n- nicht gefundene Produkte\n- Cache-/Preiszeitpunkt\n- Quellenlinks\n- geschätzte Ersparnis nur aus sicheren Matches\n- Disclaimer\n\n**Kein Report im Git:** ja\n\n## Health-Analyse\n\n- **Health-Analyse weiterhin nur vorbereitet:** ja\n- **Keine medizinische Analyse:** ja\n- **Keine Histaminbewertung:** ja\n- **Keine Behçet-/Trigger-Bewertung:** ja\n- **Nur Roadmap-Hinweis ergänzt:** ja \n `Grocery Health & Trigger Analysis v1`\n\n## Tests / Verification\n\n- **Python compile:** OK\n- **pytest:** `496 passed`\n- **npm test / Vitest:** `92 passed`\n- **npm run build:** OK\n- **Source secret scan:** OK\n- **Frontend build secret scan:** OK\n- **Git-Safety:** OK\n- **git diff --check:** OK\n- **Runtime-DB im Git:** nein\n- **Reports im Git:** nein\n- **API-Keys im Frontend:** nein\n- **Echte Produktdaten im Git:** nein\n\n## Browser-Sanity\n\nGeprüft über Tailscale:\n\n- **Grocery Optimizer Route:** OK\n- **Real-Bon auswählen:** OK\n- **Produktfilter sichtbar:** OK\n- **Analyse starten:** OK\n- **Sichere/unsichere/nicht gefundene/abgelehnte Trennung:** OK\n- **Einkaufsliste:** OK\n- **Report erzeugen:** OK\n- **Mapping akzeptieren:** OK\n- **Mapping ablehnen:** OK\n- **Keine JS-Fehler:** OK\n\n## Offene Grenzen\n\n- Coop/Migros Live-Suche liefert im echten UAT derzeit keine verlässlichen parsebaren Preise.\n- Denner/Aldi/Lidl/Otto’s bleiben Skeleton/manuell-first.\n- Keine sichere Sparberechnung möglich, solange Preis + Einheitspreis + Packungsgröße nicht zuverlässig vorliegen.\n- `v0.3.2` bleibt unverändert als Release-Tag; der UAT-Hotfix liegt danach sauber auf `main` in Commit `c855c7772dbd…`. Kein Force-Retag, weil wir zivilisiert bleiben.",
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"type": "message",
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"text": "## Grocery Optimizer Release & Real-Bon UAT v3 — abgeschlossen\n\nSir, erledigt. **Kein Health-/Histamin-Sprint gestartet.** Fokus blieb auf Release, Real-Bon-UAT, Mapping-Stabilität, UI/Report-Härtung und kontrollierter Provider-Bewertung.\n\n## Release / Git\n\n- **Branch nach `main` gemergt:** ja\n- **Merge-Konflikte:** nein\n- **Working Tree final clean:** ja\n- **Keine Force-Pushes:** ja\n- **Release-Tag gesetzt:** ja\n - Tag: `v0.3.2`\n - Tag-Commit: `27aa030c9bf09ca083364ea5e65dd61d8e73bc26`\n- **UAT-Hotfix nach Tag:** ja \n Der Real-Bon-UAT fand einen echten Edge-Case: no-price/needs-review Kandidaten konnten beim Akzeptieren fälschlich als unsupported `match_type` durchfallen. \n Fix normal auf `main` gepusht, **ohne Retag/Force**.\n- **Aktueller `main` Commit:** `c855c7772db6d8addb58d3b053304d680e58f0d7`\n- **Push-Status:** ja, Remote-Hash verifiziert\n\nDashboard läuft aktuell auf **`main` @ `c855c7772db6d8addb58d3b053304d680e58f0d7`**.\n\n## Laufende Services\n\n- **Backend:** `200`\n - PID: `658439`\n - Lokal: `http://127.0.0.1:8000`\n- **Frontend:** `200`\n - PID: `658452`\n - Lokal: `http://127.0.0.1:5173`\n - Tailscale: `http://100.85.29.67:5173`\n- **Grocery API:** `200`\n\n## Real-Bon-UAT\n\n- **Real-Bon-UAT durchgeführt:** ja\n- **Quelle:** Runtime-DB, echter Migros-Bon aus importierten Line-Items\n- **Produktdetails/Preise im Chat:** nein\n- **Produktdetails/Reports im Git:** nein\n- **Anzahl getestete Produkte:** 8\n- **Massensuche:** nein\n- **Websuche nur explizit gestartet:** ja\n- **Automatische Bestellung:** nein\n- **Login-Scraping:** nein\n\n### UAT-Ergebnis aggregiert\n\n- **Matches gefunden:** ja, aber nur reviewbar\n- **Sichere Ersparnis:** nein\n- **Sichere Matches mit Preis:** 0\n- **Preis vorhanden:** 0 von 8\n- **Einheitspreis vorhanden:** 0 von 8\n- **Packungsgröße vergleichbar:** 0 von 8\n- **Einkaufsliste erzeugt:** ja\n- **Runtime-Report erzeugt:** ja\n- **Report im Git:** nein\n- **Report außerhalb Repo:** ja\n\n### Review-Aktionen im UAT\n\n- **Akzeptierte Mappings:** 1 \n Status bewusst `needs_review`, weil keine echte Preisquelle vorhanden war.\n- **Abgelehnte Mappings:** 2\n- **Needs review gesamt:** 2\n- **Später prüfen / ohne belastbares Mapping:** 4\n\nInterpretation: Der Optimizer ist als **Review-/Mapping-System** brauchbar, aber die Live-Provider liefern für echte Migros-Produkte aktuell noch keine ausreichend stabilen Preis-/Unit-Daten. Also: Alltagstauglichkeit für Mapping-Lernen beginnt, echte Sparberechnung noch konservativ/limitiert. Langweilig, aber sicher — wie ein Schweizer Fahrplan, nur mit weniger Pünktlichkeit.\n\n## Mapping-Library geprüft\n\n- **Akzeptierte Mappings werden wiederverwendet:** ja\n- **Abgelehnte Mappings werden nicht erneut prominent empfohlen:** ja\n- **Manuelle Zuordnung funktioniert:** ja\n- **Preis aktualisieren ohne echte Preisquelle:** blockiert/bleibt reviewbar\n- **Cache-Status sichtbar:** ja\n - frisch\n - veraltet\n - fehlt\n - Fehler\n- **No-price Accept-Fix:** ja \n No-price/needs-review Kandidaten bleiben auditierbar und werden nicht als sichere Ersparnis gezählt.\n\n## Provider-Bewertung\n\n### Coop\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein im Real-UAT\n- **Einheitspreis parsebar:** nein im Real-UAT\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** mittel\n- **Empfehlung:** nur kontrolliert/manuell nutzen, nicht produktiv für sichere Sparberechnung\n\n### Migros\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein im Real-UAT\n- **Einheitspreis parsebar:** nein im Real-UAT\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** mittel\n- **Empfehlung:** nur kontrolliert/manuell nutzen; keine automatische Preisannahme\n\n### Denner\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein\n- **Einheitspreis parsebar:** nein\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** niedrig, solange deaktiviert/Skeleton\n- **Empfehlung:** Skeleton lassen, UI: noch nicht live verfügbar, manuelle Zuordnung erlauben\n\n### Aldi Suisse\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein\n- **Einheitspreis parsebar:** nein\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** niedrig, solange deaktiviert/Skeleton\n- **Empfehlung:** Skeleton lassen, manuelle Zuordnung\n\n### Lidl Schweiz\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein\n- **Einheitspreis parsebar:** nein\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** niedrig, solange deaktiviert/Skeleton\n- **Empfehlung:** Skeleton lassen, manuelle Zuordnung\n\n### Otto’s\n\n- **Live-Suche stabil:** nein\n- **Produktdetail stabil:** nein\n- **Preis parsebar:** nein\n- **Einheitspreis parsebar:** nein\n- **Packungsgröße parsebar:** nein\n- **AGB-/Scraping-Risiko:** niedrig, solange deaktiviert/Skeleton\n- **Empfehlung:** Skeleton lassen, manuelle Zuordnung\n\n## UI verbessert\n\n**UI verbessert:** ja\n\nErgänzt/geprüft:\n\n- Produktfilter:\n - alle Produkte\n - ohne Mapping\n - mit akzeptiertem Mapping\n - needs_review\n - abgelehnt\n- Produktliste zeigt:\n - Originalprodukt\n - normalisierter Name\n - akzeptierte Alternative, falls vorhanden\n - Cache-Status\n - letzter Preischeck\n - Status\n- Ergebnisbereich trennt klar:\n - Sichere Ersparnis\n - Unsichere Vorschläge\n - Nicht gefundene Produkte\n - Abgelehnte Produkte\n- Unsichere Produkte werden **nicht** in sichere Ersparnis eingerechnet.\n- Einkaufsliste:\n - max. 3 Händler\n - Produkte ohne Alternative separat\n - Mapping-Liste anzeigen\n - Preise aktualisieren\n - Report erstellen\n\n## Report verbessert\n\n**Report verbessert:** ja\n\nRuntime-Report enthält jetzt:\n\n- Bon-Auswahl\n- analysierte Produkte\n- akzeptierte Alternativen\n- abgelehnte Alternativen\n- unsichere Produkte\n- nicht gefundene Produkte\n- Cache-/Preiszeitpunkt\n- Quellenlinks\n- geschätzte Ersparnis nur aus sicheren Matches\n- Disclaimer\n\n**Kein Report im Git:** ja\n\n## Health-Analyse\n\n- **Health-Analyse weiterhin nur vorbereitet:** ja\n- **Keine medizinische Analyse:** ja\n- **Keine Histaminbewertung:** ja\n- **Keine Behçet-/Trigger-Bewertung:** ja\n- **Nur Roadmap-Hinweis ergänzt:** ja \n `Grocery Health & Trigger Analysis v1`\n\n## Tests / Verification\n\n- **Python compile:** OK\n- **pytest:** `496 passed`\n- **npm test / Vitest:** `92 passed`\n- **npm run build:** OK\n- **Source secret scan:** OK\n- **Frontend build secret scan:** OK\n- **Git-Safety:** OK\n- **git diff --check:** OK\n- **Runtime-DB im Git:** nein\n- **Reports im Git:** nein\n- **API-Keys im Frontend:** nein\n- **Echte Produktdaten im Git:** nein\n\n## Browser-Sanity\n\nGeprüft über Tailscale:\n\n- **Grocery Optimizer Route:** OK\n- **Real-Bon auswählen:** OK\n- **Produktfilter sichtbar:** OK\n- **Analyse starten:** OK\n- **Sichere/unsichere/nicht gefundene/abgelehnte Trennung:** OK\n- **Einkaufsliste:** OK\n- **Report erzeugen:** OK\n- **Mapping akzeptieren:** OK\n- **Mapping ablehnen:** OK\n- **Keine JS-Fehler:** OK\n\n## Offene Grenzen\n\n- Coop/Migros Live-Suche liefert im echten UAT derzeit keine verlässlichen parsebaren Preise.\n- Denner/Aldi/Lidl/Otto’s bleiben Skeleton/manuell-first.\n- Keine sichere Sparberechnung möglich, solange Preis + Einheitspreis + Packungsgröße nicht zuverlässig vorliegen.\n- `v0.3.2` bleibt unverändert als Release-Tag; der UAT-Hotfix liegt danach sauber auf `main` in Commit `c855c7772dbd…`. Kein Force-Retag, weil wir zivilisiert bleiben."
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"id": "msg_08efd988e539badb016a0c810421488191b7c51837b33d9264",
"phase": "final_answer"
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"finish_reason": "stop"
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{
"role": "user",
"content": "[M G] [IMPORTANT: Background process proc_c7a8a92e5b73 matched watch pattern \"Application startup complete\".\nCommand: source ~/jarvis_runtime/finance-system/venv/bin/activate\nexport JARVIS_FINANCE_RUNTIME_DIR=~/jarvis_runtime/finance-system\nunset JARVIS_FINANCE_DB_PATH\nPYTHONPATH=src uvicorn jarvis_finance.api.main:app --host 0.0.0.0 --port 8000\nMatched output:\nINFO: Application startup complete.]"
},
{
"role": "assistant",
"content": "Ich prüfe kurz, ob das nur der erwartete Watcher-Nachhall vom finalen Restart ist oder ein zusätzlicher Server entstanden ist.",
"tool_calls": [
{
"id": "call_RYqUnuaKKE6UJ4XFcaDss3iR",
"call_id": "call_RYqUnuaKKE6UJ4XFcaDss3iR",
"response_item_id": "fc_08efd988e539badb016a0c8136bf788191815bb089df947d3b",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\nprintf 'listening_8000=\\\\n'; ss -ltnp 2>/dev/null | awk '$4 ~ /:8000/ {print $0}' || true\\nprintf '\\\\nlistening_5173=\\\\n'; ss -ltnp 2>/dev/null | awk '$4 ~ /:5173/ {print $0}' || true\\npr...[truncated]\", \"timeout\": 60, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Verifying notifications**\n\nI think we need to respond to the watcher notification. It would be good to verify processes based on tool usage. The system indicates that we must take action if a check is requested. So, it seems like using the terminal to explore this would be the right move. I want to ensure I’m following the correct protocols to avoid any mishaps in the process! Let’s make sure everything runs smoothly.",
"reasoning_content": "**Verifying notifications**\n\nI think we need to respond to the watcher notification. It would be good to verify processes based on tool usage. The system indicates that we must take action if a check is requested. So, it seems like using the terminal to explore this would be the right move. I want to ensure I’m following the correct protocols to avoid any mishaps in the process! Let’s make sure everything runs smoothly.",
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"summary": [
{
"type": "summary_text",
"text": "**Verifying notifications**\n\nI think we need to respond to the watcher notification. It would be good to verify processes based on tool usage. The system indicates that we must take action if a check is requested. So, it seems like using the terminal to explore this would be the right move. I want to ensure I’m following the correct protocols to avoid any mishaps in the process! Let’s make sure everything runs smoothly."
}
]
}
],
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{
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"role": "assistant",
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"content": [
{
"type": "output_text",
"text": "Ich prüfe kurz, ob das nur der erwartete Watcher-Nachhall vom finalen Restart ist oder ein zusätzlicher Server entstanden ist."
}
],
"id": "msg_08efd988e539badb016a0c8136a8488191aa017a7738f986c3",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\nprintf 'listening_8000=\\n'; ss -ltnp 2>/dev/null | awk '$4 ...` -> exit 0, 1 lines output",
"tool_call_id": "call_RYqUnuaKKE6UJ4XFcaDss3iR"
},
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"content": "Das ist nur die erwartete Watcher-Meldung vom finalen Backend-Restart.\n\nAktueller Zustand:\n\n- **Backend:** läuft genau einmal auf Port `8000`\n - PID: `658439`\n - Health: `200`\n\n- **Frontend:** läuft genau einmal auf Port `5173`\n - PID: `658475`\n - Lokal: `200`\n - Tailscale: `200`\n\nAlso: **kein doppelter Server, kein Problem.**",
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"text": "Das ist nur die erwartete Watcher-Meldung vom finalen Backend-Restart.\n\nAktueller Zustand:\n\n- **Backend:** läuft genau einmal auf Port `8000`\n - PID: `658439`\n - Health: `200`\n\n- **Frontend:** läuft genau einmal auf Port `5173`\n - PID: `658475`\n - Lokal: `200`\n - Tailscale: `200`\n\nAlso: **kein doppelter Server, kein Problem.**"
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"content": "[M G] Der Grocery Optimizer Release & Real-Bon UAT v3 ist teilweise akzeptiert.\n\nEs gibt aber zwei wichtige Probleme:\n\n1. Diverse Seiten lassen sich über das Menü nicht mehr öffnen.\n2. Die Preisrecherche funktioniert nicht zuverlässig. Live-Provider liefern aktuell keine belastbaren Preise, Einheitspreise und Packungsgrössen.\n\nBitte starte jetzt einen gezielten:\n\n# Navigation Regression Fix & Grocery Price Provider Strategy Sprint\n\nZiel:\nZuerst alle Menü-/Routing-Probleme beheben. Danach eine saubere, rechtlich und technisch robuste Strategie für Lebensmittelpreise entwickeln und als MVP umsetzen: keine erfundenen Preise, keine stillen Scrapes, keine automatische Ersparnis ohne belastbare Daten.\n\nWichtig:\n\n* Keine neuen Health-/Histamin-/medizinischen Features.\n* Keine automatische Bestellung.\n* Kein Login-Scraping.\n* Keine Preisannahmen durch LLM.\n* Keine Runtime-DB ins Git.\n* Keine echten Produktpreise im Chat.\n* Keine API-Keys ins Frontend.\n* Provider-Abfragen nur explizit, nicht beim normalen Rendern.\n* Unsichere Preise niemals als sichere Ersparnis zählen.\n\n## 1. Navigation Regression sofort beheben\n\nProblem:\nDiverse Seiten lassen sich über das Menü nicht mehr öffnen.\n\nBitte zuerst prüfen und fixen:\n\n### Desktop Navigation\n\n* Sidebar Links\n* Budget Untermenüs\n* Analyse Untermenüs\n* Grocery Optimizer Link\n* Portfolio/Crypto/Equity/Wallets/Reports Links\n\n### Mobile Navigation\n\n* Bottom Nav\n* Mehr-Menü\n* Fullscreen-Fallback-Menü\n* native hrefs\n* Router history fallback\n\n### Kritische Routen\n\nBitte alle prüfen:\n\n* /\n* /portfolio\n* /crypto\n* /equity\n* /wallets\n* /positions/add\n* /reports\n* /planning/budget\n* /planning/budget/expenses/review\n* /planning/budget/expenses/actual\n* /planning/budget/income\n* /planning/budget/transfers\n* /planning/budget/categories\n* /planning/budget/rules\n* /planning/budget/analysis/data-explorer\n* /planning/budget/analysis/categories\n* /planning/budget/analysis/monthly\n* /planning/budget/analysis/budget-vs-actual\n* Grocery Optimizer Route, falls vorhanden\n\nAkzeptanz:\n\n* Jeder Menüpunkt öffnet die korrekte Seite.\n* Direkter URL-Aufruf funktioniert.\n* Keine JS-Fehler.\n* Keine leeren Seiten ohne Fehlermeldung.\n* Browser/Tailscale sanity grün.\n\n## 2. Navigation Smoke-Test automatisieren\n\nBitte einen kleinen Frontend-Test oder Route-Sanity-Test ergänzen:\n\n* alle User-Nav-Links existieren\n* alle Links haben gültige to oder href\n* keine toten Menülinks\n* Router enthält alle verlinkten Routen\n* wichtige Routen rendern mindestens Page Header / Empty State\n\nDas soll verhindern, dass wir beim nächsten Sprint wieder Menülinks verlieren.\n\n## 3. Grocery Preisrecherche: Provider-Strategie neu bewerten\n\nDie aktuelle Live-Preisrecherche funktioniert nicht zuverlässig.\n\nBitte keine Provider-Schönfärberei.\n\nErstelle eine Provider-Matrix:\n\n| Provider | Datenquelle | Preis | Einheitspreis | Packungsgröße | API offiziell? | Scraping-Risiko | Stabilität | Empfehlung |\n| -------- | ----------- | ----: | ------------: | ------------: | -------------- | --------------- | ---------- | ---------- |\n\nBitte prüfen/bewerten:\n\n### Rappn.ch\n\n* Kann Rappn.ch genutzt werden?\n* Gibt es eine öffentliche API?\n* Gibt es Nutzungsbedingungen / API-Hinweise?\n* Falls keine öffentliche API:\n\n * nicht scrapen\n * nur manuelle Nutzung/Link-Out prüfen\n * eventuell später Kontakt/API-Anfrage\n\n### Open Food Facts / Open Prices\n\n* API verfügbar?\n* Schweizer Produkt-/Preisabdeckung?\n* Barcode-Matching möglich?\n* Preisquelle / Datum vorhanden?\n* Händler/Migros/Coop/Denner/Aldi/Lidl unterscheidbar?\n* Kann als offene Datenquelle genutzt werden?\n* Lizenz/Attribution beachten\n\n### FoodRepo / Schweizer Produktdaten\n\n* Produktdaten nutzbar?\n* API/Lizenz prüfen\n* Preisabdeckung oder nur Produkt-/Nährwertdaten?\n\n### Pepesto / kommerzielle Supermarkt APIs\n\n* Gibt es freie Stufe?\n* Kosten/Risiko?\n* Nur als spätere Option bewerten, nicht sofort einbauen\n\n### Migros/Coop/Denner/Aldi/Lidl/Otto’s direkt\n\n* keine Login-Scrapes\n* keine instabilen HTML-Scrapes als sichere Preisquelle\n* direkte Suche nur\ndeaktiviert/experimen\ntell, falls rechtlich/technisch unsicher\n\n## 4. LLM-Rolle klar begrenzen\n\nWir können ein lokales LLM oder Qwen nutzen, aber nur für:\n\n* Produktnamen normalisieren\n* Einheiten erkennen\n* Produktkandidaten vergleichen\n* ähnliche Produkte clustern\n* Barcode/Produkttext interpretieren\n* Review-Vorschläge formulieren\n\nNicht erlaubt:\n\n* LLM als Preisquelle\n* LLM erfindet Preise\n* LLM entscheidet sichere Ersparnis\n* LLM bestätigt Mapping ohne User Review\n\nBitte diese Regeln dokumentieren und im Code/Docs sichtbar machen.\n\n## 5. Neues Grocery Provider-Konzept\n\nBitte das Grocery-Modul in drei Ebenen trennen:\n\n### Ebene A: Produkt-Mapping\n\nZiel:\nMigros-Bon-Produkt → normalisiertes Produkt → mögliche Alternativen.\n\nQuellen:\n\n* akzeptierte manuelle Mappings\n* Open Food Facts / FoodRepo für Produktdaten\n* LLM für Normalisierung, optional\n* keine Preise nötig\n\n### Ebene B: Preisquelle\n\nZiel:\nPreis und Einheitspreis mit Datum und Quelle.\n\nMögliche Quellen:\n\n* Open Prices, falls verfügbar\n* manuelle Preisangabe\n* Nutzer erfasst Preis\n* Link-Out zu Rappn / Händlerseite\n* später offizielle/kommerzielle API\n\n### Ebene C: Ersparnisberechnung\n\nNur wenn vorhanden:\n\n* Preis\n* Einheitspreis oder Packungsgröße\n* gleiche/vergleichbare Einheit\n* Preisdatum\n* Quelle\n* Confidence\n\nSonst:\n\n* nur Review-Vorschlag\n* keine sichere Ersparnis\n\n## 6. Rappn-Integration nur als sicherer Link-Out / Research\n\nFalls keine öffentliche Rappn API gefunden wird:\n\nBitte keine technische API-Integration bauen.\n\nStattdessen:\n\n* Rappn als „extern prüfen“-Link im UI\n* Produktname als Suchbegriff vorbereiten\n* Nutzer kann manuell prüfen\n* Ergebnis kann manuell als Preis/Mapping eingetragen werden\n* Quelle: manual/rappn_user_checked\n* Audit\n\nWenn doch eine offizielle API/Dokumentation gefunden wird:\n\n* nur als Provider-Skeleton\n* keine produktive Nutzung ohne Freigabe\n\n## 7. Open Food Facts / Open Prices Spike\n\nBitte einen kleinen Spike bauen oder vorbereiten:\n\n* Suche nach Produktname\n* Suche nach Barcode, falls vorhanden\n* Preisabfrage über Open Prices, falls Produkt/Location/Shop verfügbar\n* Ergebnis als Kandidat, nicht als sichere Ersparnis\n* Cache lokal\n* Attribution/Lizenzhinweis\n\nAkzeptanz:\n\n* Wenn Daten fehlen, keine falsche Ersparnis.\n* Wenn Preis vorhanden, Quelle/Datum anzeigen.\n* Keine Provider-Abfrage beim normalen Rendern.\n\n## 8. Manuelle Preis-/Mapping-Erfassung\n\nDa Livepreise unsicher sind, bitte einen stabilen manuellen Workflow bauen:\n\nIm Grocery Optimizer:\n\n* Produkt auswählen\n* Alternative manuell erfassen:\n\n * Händler\n * Produktname\n * Packungsgröße\n * Einheit\n * Preis\n * Einheitspreis\n * Preisdatum\n * Quelle/Link\n * Notiz\n* Preview\n* Confirm\n* Audit\n* danach kann Ersparnis berechnet werden\n\nWichtig:\n\n* Manuelle Preise können veralten.\n* Cache-Status anzeigen:\n\n * frisch\n * veraltet\n * manuell\n * fehlt\n * Fehler\n\n## 9. UI: Sichere vs unsichere Vorschläge noch deutlicher\n\nBitte UI klarer machen:\n\n### Sichere Ersparnis\n\nNur wenn:\n\n* Preis vorhanden\n* Einheit vergleichbar\n* Quelle vorhanden\n* Datum vorhanden\n* Confidence hoch\n\n### Unsichere Vorschläge\n\n* Produkt ähnlich\n* Preis fehlt\n* Packung unklar\n* Quelle unsicher\n* needs_review\n\n### Nicht gefunden\n\n* kein belastbarer Kandidat\n\n### Manuell gepflegt\n\n* Nutzer hat Preis/Mapping bestätigt\n\n## 10. Tests\n\nBitte Tests ergänzen für:\n\n### Navigation\n\n* alle User-Menülinks routen korrekt\n* Grocery Link funktioniert\n* Mobile Fallback Links funktionieren\n* keine toten Links\n\n### Provider Strategy\n\n* Rappn ohne öffentliche API → kein Provider-Call, nur Link-Out\n* Open Prices ohne Preis → no secure saving\n* Open Prices mit Preis → candidate mit Quelle/Datum\n* LLM-Normalisierung erzeugt keine Preise\n\n### Manual Price\n\n* manuelle Alternative speichern\n* Einheitspreis berechnen\n* veralteter Preis wird markiert\n* sichere Ersparnis nur bei vollständigen Daten\n* Audit\n\n### Grocery UI\n\n* sichere/unsichere/nicht gefunden/manuell getrennt\n* accepted no-price Mapping wird nicht als sichere Ersparnis gezählt\n* Einkaufsliste ignoriert unsichere Vorschläge für Ersparnis\n\n### Safety\n\n* keine echten Preise im Git\n* keine Runtime-DB im Git\n* keine API-Keys im Frontend\n* Git-Safety sauber\n\n## 11. Verifikation\n\nNach Umsetzung:\n\n* Python compile\n* pytest\n* npm test\n* npm run build\n* source secret scan\n* frontend build secret scan\n* Git-Safety\n* Browser sanity:\n\n * alle Menüseiten\n * Grocery Optimizer\n * Budget Seiten\n* git diff --check\n* Commit\n* Push\n\n## 12. Abschlussbericht\n\nBitte berichten:\n\n* Menülinks repariert: ja/nein\n* Navigation Smoke-Test ergänzt: ja/nein\n* Rappn geprüft: ja/nein\n* öffentliche Rappn API gefunden: ja/nein\n* Rappn nur Link-Out: ja/nein\n* Open Food Facts/Open Prices geprüft: ja/nein\n* Open Prices Spike: ja/nein\n* LLM-Rolle begrenzt/dokumentiert: ja/nein\n* manuelle Preis-/Mapping-Erfassung umgesetzt: ja/nein\n* sichere vs unsichere Ersparnis klar getrennt: ja/nein\n* Tests\n* Build\n* Git-Safety\n* Commit-Hash\n* Push-Status\n* offene Grenzen\n\nWichtig:\nNavigation zuerst fixen. Danach Grocery Preisstrategie. Keine erfundenen Preise. Keine instabilen Scrapes als sichere Sparberechnung."
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"content": "Verstanden. Ich starte gezielt mit **Navigation zuerst**, danach Grocery-Preisstrategie. Keine Health-/Histamin-Features, keine erfundenen Preise, keine stillen Scrapes. Ich lade die relevanten Workflows und beginne mit Route-/Menü-Inventar plus reproduzierbarem Smoke-Test.",
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"content": "{\"success\": true, \"name\": \"github-pr-workflow\", \"description\": \"GitHub PR lifecycle: branch, commit, open, CI, merge.\", \"tags\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"], \"content\": \"---\\nname: github-pr-workflow\\ndescription: \\\"GitHub PR lifecycle: branch, commit, open, CI, merge.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [GitHub, Pull-Requests, CI/CD, Git, Automation, Merge]\\n related_skills: [github-auth, github-code-review]\\n---\\n\\n# GitHub Pull Request Workflow\\n\\nComplete guide for managing the PR lifecycle. Each section shows the `gh` way first, then the `git` + `curl` fallback for machines without `gh`.\\n\\nFor private HTTPS remotes where an agent must push with a token but PR creation may be blocked by token scope, see `references/private-repo-token-push-pr.md`.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n- Inside a git repository with a GitHub remote\\n\\n### Quick Auth Detection\\n\\n```bash\\n# Determine which method to use throughout this workflow\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n AUTH=\\\"gh\\\"\\nelse\\n AUTH=\\\"git\\\"\\n # Ensure we have a token for API calls\\n if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n fi\\n fi\\nfi\\necho \\\"Using: $AUTH\\\"\\n```\\n\\n### Extracting Owner/Repo from the Git Remote\\n\\nMany `curl` commands need `owner/repo`. Extract it from the git remote:\\n\\n```bash\\n# Works for both HTTPS and SSH remote URLs\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\necho \\\"Owner: $OWNER, Repo: $REPO\\\"\\n```\\n\\n---\\n\\n## 1. Branch Creation\\n\\nThis part is pure `git` — identical either way:\\n\\n```bash\\n# Make sure you're up to date\\ngit fetch origin\\ngit checkout main && git pull origin main\\n\\n# Create and switch to a new branch\\ngit checkout -b feat/add-user-authentication\\n```\\n\\nBranch naming conventions:\\n- `feat/description` — new features\\n- `fix/description` — bug fixes\\n- `refactor/description` — code restructuring\\n- `docs/description` — documentation\\n- `ci/description` — CI/CD changes\\n\\n## 2. Making Commits\\n\\nUse the agent's file tools (`write_file`, `patch`) to make changes, then commit:\\n\\n```bash\\n# Stage specific files\\ngit add src/auth.py src/models/user.py tests/test_auth.py\\n\\n# Commit with a conventional commit message\\ngit commit -m \\\"feat: add JWT-based user authentication\\n\\n- Add login/register endpoints\\n- Add User model with password hashing\\n- Add auth middleware for protected routes\\n- Add unit tests for auth flow\\\"\\n```\\n\\nCommit message format (Conventional Commits):\\n```\\ntype(scope): short description\\n\\nLonger explanation if needed. Wrap at 72 characters.\\n```\\n\\nTypes: `feat`, `fix`, `refactor`, `docs`, `test`, `ci`, `chore`, `perf`\\n\\n## 3. Pushing and Creating a PR\\n\\n### Push the Branch (same either way)\\n\\n```bash\\ngit push -u origin HEAD\\n```\\n\\nIf the remote is HTTPS and interactive username/password prompts fail in an agent/non-TTY environment, use a temporary `GIT_ASKPASS` helper instead of embedding tokens in the remote URL. Keep the token in an environment variable, never echo it, and remove the helper after push/verification:\\n\\n```bash\\n# Ensure the askpass child process can see the token.\\nexport GITHUB_TOKEN\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/bin/sh\\ncase \\\"$1\\\" in\\n *Username*) printf '%s\\\\n' x-access-token ;;\\n *Password*) printf '%s\\\\n' \\\"$GITHUB_TOKEN\\\" ;;\\n *) printf '\\\\n' ;;\\nesac\\nSH\\nchmod 700 \\\"$ASKPASS\\\"\\ntrap 'rm -f \\\"$ASKPASS\\\"' EXIT\\nGIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git push -u origin HEAD\\n\\n# Optional authenticated remote-hash verification for private repos.\\nBRANCH=$(git branch --show-current)\\nLOCAL=$(git rev-parse HEAD)\\nREMOTE=$(GIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git ls-remote origin \\\"refs/heads/$BRANCH\\\" | awk '{print $1}')\\ntest \\\"$LOCAL\\\" = \\\"$REMOTE\\\"\\n\\nrm -f \\\"$ASKPASS\\\"\\n```\\n\\nThe `export GITHUB_TOKEN` line is not cosmetic: `GIT_ASKPASS` executes as a child process, so a shell variable that is not exported will look empty and GitHub will reject the push as an invalid username/token even when token extraction succeeded.\\n\\nIf push succeeds through a temporary authenticated URL or helper but local `git status` still shows `ahead`, the tracking ref may simply be stale because later `ls-remote`/`fetch origin` was unauthenticated. Verify with an authenticated `git ls-remote` against the same branch, then update `refs/remotes/origin/` via an authenticated fetch. Treat push success and remote-hash equality as the source of truth; do not print token-bearing URLs or persist them as remotes.\\n\\nDo not set token-bearing remotes, print token values, or leave askpass scripts behind. Keep the temporary askpass file alive through every authenticated step, including `git ls-remote` remote-hash verification; deleting it immediately after `git push` makes the later verification fail even though the push succeeded. Prefer `trap 'rm -f \\\"$ASKPASS\\\"' EXIT` over early manual removal.\\n\\nWhen extracting a token from a local CSV/secret file for `GIT_ASKPASS`, select by token shape/prefix (`github_pat_` or `ghp_`) rather than by excluding strings that start with `github`. Fine-grained GitHub tokens intentionally start with `github_pat_`; skipping all `github*` values can silently pass an empty/wrong password and produce `Invalid username or token`. Inspect only row/column counts or token lengths/prefix classes, never the token value.\\n\\n**Important permission pitfall:** a token that can push via HTTPS is not guaranteed to have REST/GraphQL permission to create PRs. After push, verify local/remote hash equality first. If PR creation returns `403 Forbidden`, do not retry by printing or broadening token handling in chat; report the pushed branch and GitHub's `/pull/new/` URL so the user can create the PR manually or provide a token with the required repo/pull-request scope.\\n\\n### Create the PR\\n\\n**With gh:**\\n\\n```bash\\ngh pr create \\\\\\n --title \\\"feat: add JWT-based user authentication\\\" \\\\\\n --body \\\"## Summary\\n- Adds login and register API endpoints\\n- JWT token generation and validation\\n\\n## Test Plan\\n- [ ] Unit tests pass\\n\\nCloses #42\\\"\\n```\\n\\nOptions: `--draft`, `--reviewer user1,user2`, `--label \\\"enhancement\\\"`, `--base develop`\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n -H \\\"Accept: application/vnd.github.v3+json\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls \\\\\\n -d \\\"{\\n \\\\\\\"title\\\\\\\": \\\\\\\"feat: add JWT-based user authentication\\\\\\\",\\n \\\\\\\"body\\\\\\\": \\\\\\\"## Summary\\\\nAdds login and register API endpoints.\\\\n\\\\nCloses #42\\\\\\\",\\n \\\\\\\"head\\\\\\\": \\\\\\\"$BRANCH\\\\\\\",\\n \\\\\\\"base\\\\\\\": \\\\\\\"main\\\\\\\"\\n }\\\"\\n```\\n\\nThe response JSON includes the PR `number` — save it for later commands.\\n\\nTo create as a draft, add `\\\"draft\\\": true` to the JSON body.\\n\\n## 4. Monitoring CI Status\\n\\n### Check CI Status\\n\\n**With gh:**\\n\\n```bash\\n# One-shot check\\ngh pr checks\\n\\n# Watch until all checks finish (polls every 10s)\\ngh pr checks --watch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Get the latest commit SHA on the current branch\\nSHA=$(git rev-parse HEAD)\\n\\n# Query the combined status\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nprint(f\\\\\\\"Overall: {data['state']}\\\\\\\")\\nfor s in data.get('statuses', []):\\n print(f\\\\\\\" {s['context']}: {s['state']} - {s.get('description', '')}\\\\\\\")\\\"\\n\\n# Also check GitHub Actions check runs (separate endpoint)\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/check-runs \\\\\\n | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nfor cr in data.get('check_runs', []):\\n print(f\\\\\\\" {cr['name']}: {cr['status']} / {cr['conclusion'] or 'pending'}\\\\\\\")\\\"\\n```\\n\\n### Poll Until Complete (git + curl)\\n\\n```bash\\n# Simple polling loop — check every 30 seconds, up to 10 minutes\\nSHA=$(git rev-parse HEAD)\\nfor i in $(seq 1 20); do\\n STATUS=$(curl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['state'])\\\")\\n echo \\\"Check $i: $STATUS\\\"\\n if [ \\\"$STATUS\\\" = \\\"success\\\" ] || [ \\\"$STATUS\\\" = \\\"failure\\\" ] || [ \\\"$STATUS\\\" = \\\"error\\\" ]; then\\n break\\n fi\\n sleep 30\\ndone\\n```\\n\\n## 5. Auto-Fixing CI Failures\\n\\nWhen CI fails, diagnose and fix. This loop works with either auth method.\\n\\n### Step 1: Get Failure Details\\n\\n**With gh:**\\n\\n```bash\\n# List recent workflow runs on this branch\\ngh run list --branch $(git branch --show-current) --limit 5\\n\\n# View failed logs\\ngh run view --log-failed\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\n# List workflow runs on this branch\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/repos/$OWNER/$REPO/actions/runs?branch=$BRANCH&per_page=5\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nruns = json.load(sys.stdin)['workflow_runs']\\nfor r in runs:\\n print(f\\\\\\\"Run {r['id']}: {r['name']} - {r['conclusion'] or r['status']}\\\\\\\")\\\"\\n\\n# Get failed job logs (download as zip, extract, read)\\nRUN_ID=\\ncurl -s -L \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \\\\\\n -o /tmp/ci-logs.zip\\ncd /tmp && unzip -o ci-logs.zip -d ci-logs && cat ci-logs/*.txt\\n```\\n\\n### Step 2: Fix and Push\\n\\nAfter identifying the issue, use file tools (`patch`, `write_file`) to fix it:\\n\\n```bash\\ngit add \\ngit commit -m \\\"fix: resolve CI failure in \\\"\\ngit push\\n```\\n\\n### Step 3: Verify\\n\\nRe-check CI status using the commands from Section 4 above.\\n\\n### Auto-Fix Loop Pattern\\n\\nWhen asked to auto-fix CI, follow this loop:\\n\\n1. Check CI status → identify failures\\n2. Read failure logs → understand the error\\n3. Use `read_file` + `patch`/`write_file` → fix the code\\n4. `git add . && git commit -m \\\"fix: ...\\\" && git push`\\n5. Wait for CI → re-check status\\n6. Repeat if still failing (up to 3 attempts, then ask the user)\\n\\n## 6. Merging\\n\\n**With gh:**\\n\\n```bash\\n# Squash merge + delete branch (cleanest for feature branches)\\ngh pr merge --squash --delete-branch\\n\\n# Enable auto-merge (merges when all checks pass)\\ngh pr merge --auto --squash --delete-branch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nPR_NUMBER=\\n\\n# Merge the PR via API (squash)\\ncurl -s -X PUT \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/merge \\\\\\n -d \\\"{\\n \\\\\\\"merge_method\\\\\\\": \\\\\\\"squash\\\\\\\",\\n \\\\\\\"commit_title\\\\\\\": \\\\\\\"feat: add user authentication (#$PR_NUMBER)\\\\\\\"\\n }\\\"\\n\\n# Delete the remote branch after merge\\nBRANCH=$(git branch --show-current)\\ngit push origin --delete $BRANCH\\n\\n# Switch back to main locally\\ngit checkout main && git pull origin main\\ngit branch -d $BRANCH\\n```\\n\\nMerge methods: `\\\"merge\\\"` (merge commit), `\\\"squash\\\"`, `\\\"rebase\\\"`\\n\\n### Enable Auto-Merge (curl)\\n\\n```bash\\n# Auto-merge requires the repo to have it enabled in settings.\\n# This uses the GraphQL API since REST doesn't support auto-merge.\\nPR_NODE_ID=$(curl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \\\\\\n | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['node_id'])\\\")\\n\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/graphql \\\\\\n -d \\\"{\\\\\\\"query\\\\\\\": \\\\\\\"mutation { enablePullRequestAutoMerge(input: {pullRequestId: \\\\\\\\\\\\\\\"$PR_NODE_ID\\\\\\\\\\\\\\\", mergeMethod: SQUASH}) { clientMutationId } }\\\\\\\"}\\\"\\n```\\n\\n## 7. Complete Workflow Example\\n\\n```bash\\n# 1. Start from clean main\\ngit checkout main && git pull origin main\\n\\n# 2. Branch\\ngit checkout -b fix/login-redirect-bug\\n\\n# 3. (Agent makes code changes with file tools)\\n\\n# 4. Commit\\ngit add src/auth/login.py tests/test_login.py\\ngit commit -m \\\"fix: correct redirect URL after login\\n\\nPreserves the ?next= parameter instead of always redirecting to /dashboard.\\\"\\n\\n# 5. Push\\ngit push -u origin HEAD\\n\\n# 6. Create PR (picks gh or curl based on what's available)\\n# ... (see Section 3)\\n\\n# 7. Monitor CI (see Section 4)\\n\\n# 8. Merge when green (see Section 6)\\n```\\n\\n## Useful PR Commands Reference\\n\\n| Action | gh | git + curl |\\n|--------|-----|-----------|\\n| List my PRs | `gh pr list --author @me` | `curl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\"https://api.github.com/repos/$OWNER/$REPO/pulls?state=open\\\"` |\\n| View PR diff | `gh pr diff` | `git diff main...HEAD` (local) or `curl -H \\\"Accept: application/vnd.github.diff\\\" ...` |\\n| Add comment | `gh pr comment N --body \\\"...\\\"` | `curl -X POST .../issues/N/comments -d '{\\\"body\\\":\\\"...\\\"}'` |\\n| Request review | `gh pr edit N --add-reviewer user` | `curl -X POST .../pulls/N/requested_reviewers -d '{\\\"reviewers\\\":[\\\"user\\\"]}'` |\\n| Close PR | `gh pr close N` | `curl -X PATCH .../pulls/N -d '{\\\"state\\\":\\\"closed\\\"}'` |\\n| Check out someone's PR | `gh pr checkout N` | `git fetch origin pull/N/head:pr-N && git checkout pr-N` |\\n\", \"path\": \"github/github-pr-workflow/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/github/github-pr-workflow\", \"linked_files\": {\"references\": [\"references/private-repo-token-push-pr.md\", \"references/conventional-commits.md\", \"references/ci-troubleshooting.md\"], \"templates\": [\"templates/pr-body-bugfix.md\", \"templates/pr-body-feature.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"]}}}",
"tool_call_id": "call_8aHHpXbaYMlrnibaiyS493ng"
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{
"role": "tool",
"name": "skill_view",
"content": "{\"success\": true, \"name\": \"test-driven-development\", \"description\": \"TDD: enforce RED-GREEN-REFACTOR, tests before code.\", \"tags\": [\"testing\", \"tdd\", \"development\", \"quality\", \"red-green-refactor\"], \"related_skills\": [\"systematic-debugging\", \"writing-plans\", \"subagent-driven-development\"], \"content\": \"---\\nname: test-driven-development\\ndescription: \\\"TDD: enforce RED-GREEN-REFACTOR, tests before code.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent (adapted from obra/superpowers)\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [testing, tdd, development, quality, red-green-refactor]\\n related_skills: [systematic-debugging, writing-plans, subagent-driven-development]\\n---\\n\\n# Test-Driven Development (TDD)\\n\\n## Overview\\n\\nWrite the test first. Watch it fail. Write minimal code to pass.\\n\\n**Core principle:** If you didn't watch the test fail, you don't know if it tests the right thing.\\n\\n**Violating the letter of the rules is violating the spirit of the rules.**\\n\\n## When to Use\\n\\n**Always:**\\n- New features\\n- Bug fixes\\n- Refactoring\\n- Behavior changes\\n\\n**Exceptions (ask the user first):**\\n- Throwaway prototypes\\n- Generated code\\n- Configuration files\\n\\nThinking \\\"skip TDD just this once\\\"? Stop. That's rationalization.\\n\\n## The Iron Law\\n\\n```\\nNO PRODUCTION CODE WITHOUT A FAILING TEST FIRST\\n```\\n\\nWrite code before the test? Delete it. Start over.\\n\\n**No exceptions:**\\n- Don't keep it as \\\"reference\\\"\\n- Don't \\\"adapt\\\" it while writing tests\\n- Don't look at it\\n- Delete means delete\\n\\nImplement fresh from tests. Period.\\n\\n## Red-Green-Refactor Cycle\\n\\n### RED — Write Failing Test\\n\\nWrite one minimal test showing what should happen.\\n\\n**Good test:**\\n```python\\ndef test_retries_failed_operations_3_times():\\n attempts = 0\\n def operation():\\n nonlocal attempts\\n attempts += 1\\n if attempts < 3:\\n raise Exception('fail')\\n return 'success'\\n\\n result = retry_operation(operation)\\n\\n assert result == 'success'\\n assert attempts == 3\\n```\\nClear name, tests real behavior, one thing.\\n\\n**Bad test:**\\n```python\\ndef test_retry_works():\\n mock = MagicMock()\\n mock.side_effect = [Exception(), Exception(), 'success']\\n result = retry_operation(mock)\\n assert result == 'success' # What about retry count? Timing?\\n```\\nVague name, tests mock not real code.\\n\\n**Requirements:**\\n- One behavior per test\\n- Clear descriptive name (\\\"and\\\" in name? Split it)\\n- Real code, not mocks (unless truly unavoidable)\\n- Name describes behavior, not implementation\\n\\n### Verify RED — Watch It Fail\\n\\n**MANDATORY. Never skip.**\\n\\n```bash\\n# Use terminal tool to run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n```\\n\\nConfirm:\\n- Test fails (not errors from typos)\\n- Failure message is expected\\n- Fails because the feature is missing\\n\\n**Test passes immediately?** You're testing existing behavior. Fix the test.\\n\\n**Test errors?** Fix the error, re-run until it fails correctly.\\n\\n### GREEN — Minimal Code\\n\\nWrite the simplest code to pass the test. Nothing more.\\n\\n**Good:**\\n```python\\ndef add(a, b):\\n return a + b # Nothing extra\\n```\\n\\n**Bad:**\\n```python\\ndef add(a, b):\\n result = a + b\\n logging.info(f\\\"Adding {a} + {b} = {result}\\\") # Extra!\\n return result\\n```\\n\\nDon't add features, refactor other code, or \\\"improve\\\" beyond the test.\\n\\n**Cheating is OK in GREEN:**\\n- Hardcode return values\\n- Copy-paste\\n- Duplicate code\\n- Skip edge cases\\n\\nWe'll fix it in REFACTOR.\\n\\n### Verify GREEN — Watch It Pass\\n\\n**MANDATORY.**\\n\\n```bash\\n# Run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n\\n# Then run ALL tests to check for regressions\\npytest tests/ -q\\n```\\n\\nConfirm:\\n- Test passes\\n- Other tests still pass\\n- Output pristine (no errors, warnings)\\n\\n**Test fails?** Fix the code, not the test.\\n\\n**Other tests fail?** Fix regressions now.\\n\\n### REFACTOR — Clean Up\\n\\nAfter green only:\\n- Remove duplication\\n- Improve names\\n- Extract helpers\\n- Simplify expressions\\n\\nKeep tests green throughout. Don't add behavior.\\n\\n**If tests fail during refactor:** Undo immediately. Take smaller steps.\\n\\n### Repeat\\n\\nNext failing test for next behavior. One cycle at a time.\\n\\n## Why Order Matters\\n\\n**\\\"I'll write tests after to verify it works\\\"**\\n\\nTests written after code pass immediately. Passing immediately proves nothing:\\n- Might test the wrong thing\\n- Might test implementation, not behavior\\n- Might miss edge cases you forgot\\n- You never saw it catch the bug\\n\\nTest-first forces you to see the test fail, proving it actually tests something.\\n\\n**\\\"I already manually tested all the edge cases\\\"**\\n\\nManual testing is ad-hoc. You think you tested everything but:\\n- No record of what you tested\\n- Can't re-run when code changes\\n- Easy to forget cases under pressure\\n- \\\"It worked when I tried it\\\" ≠ comprehensive\\n\\nAutomated tests are systematic. They run the same way every time.\\n\\n**\\\"Deleting X hours of work is wasteful\\\"**\\n\\nSunk cost fallacy. The time is already gone. Your choice now:\\n- Delete and rewrite with TDD (high confidence)\\n- Keep it and add tests after (low confidence, likely bugs)\\n\\nThe \\\"waste\\\" is keeping code you can't trust.\\n\\n**\\\"TDD is dogmatic, being pragmatic means adapting\\\"**\\n\\nTDD IS pragmatic:\\n- Finds bugs before commit (faster than debugging after)\\n- Prevents regressions (tests catch breaks immediately)\\n- Documents behavior (tests show how to use code)\\n- Enables refactoring (change freely, tests catch breaks)\\n\\n\\\"Pragmatic\\\" shortcuts = debugging in production = slower.\\n\\n**\\\"Tests after achieve the same goals — it's spirit not ritual\\\"**\\n\\nNo. Tests-after answer \\\"What does this do?\\\" Tests-first answer \\\"What should this do?\\\"\\n\\nTests-after are biased by your implementation. You test what you built, not what's required. Tests-first force edge case discovery before implementing.\\n\\n## Common Rationalizations\\n\\n| Excuse | Reality |\\n|--------|---------|\\n| \\\"Too simple to test\\\" | Simple code breaks. Test takes 30 seconds. |\\n| \\\"I'll test after\\\" | Tests passing immediately prove nothing. |\\n| \\\"Tests after achieve same goals\\\" | Tests-after = \\\"what does this do?\\\" Tests-first = \\\"what should this do?\\\" |\\n| \\\"Already manually tested\\\" | Ad-hoc ≠ systematic. No record, can't re-run. |\\n| \\\"Deleting X hours is wasteful\\\" | Sunk cost fallacy. Keeping unverified code is technical debt. |\\n| \\\"Keep as reference, write tests first\\\" | You'll adapt it. That's testing after. Delete means delete. |\\n| \\\"Need to explore first\\\" | Fine. Throw away exploration, start with TDD. |\\n| \\\"Test hard = design unclear\\\" | Listen to the test. Hard to test = hard to use. |\\n| \\\"TDD will slow me down\\\" | TDD faster than debugging. Pragmatic = test-first. |\\n| \\\"Manual test faster\\\" | Manual doesn't prove edge cases. You'll re-test every change. |\\n| \\\"Existing code has no tests\\\" | You're improving it. Add tests for the code you touch. |\\n\\n## Red Flags — STOP and Start Over\\n\\nIf you catch yourself doing any of these, delete the code and restart with TDD:\\n\\n- Code before test\\n- Test after implementation\\n- Test passes immediately on first run\\n- Can't explain why test failed\\n- Tests added \\\"later\\\"\\n- Rationalizing \\\"just this once\\\"\\n- \\\"I already manually tested it\\\"\\n- \\\"Tests after achieve the same purpose\\\"\\n- \\\"Keep as reference\\\" or \\\"adapt existing code\\\"\\n- \\\"Already spent X hours, deleting is wasteful\\\"\\n- \\\"TDD is dogmatic, I'm being pragmatic\\\"\\n- \\\"This is different because...\\\"\\n\\n**All of these mean: Delete code. Start over with TDD.**\\n\\n## Verification Checklist\\n\\nBefore marking work complete:\\n\\n- [ ] Every new function/method has a test\\n- [ ] Watched each test fail before implementing\\n- [ ] Each test failed for expected reason (feature missing, not typo)\\n- [ ] Wrote minimal code to pass each test\\n- [ ] All tests pass\\n- [ ] Output pristine (no errors, warnings)\\n- [ ] Tests use real code (mocks only if unavoidable)\\n- [ ] Edge cases and errors covered\\n\\nCan't check all boxes? You skipped TDD. Start over.\\n\\n## When Stuck\\n\\n| Problem | Solution |\\n|---------|----------|\\n| Don't know how to test | Write the wished-for API. Write the assertion first. Ask the user. |\\n| Test too complicated | Design too complicated. Simplify the interface. |\\n| Must mock everything | Code too coupled. Use dependency injection. |\\n| Test setup huge | Extract helpers. Still complex? Simplify the design. |\\n\\n## Hermes Agent Integration\\n\\n### Running Tests\\n\\nUse the `terminal` tool to run tests at each step:\\n\\n```python\\n# RED — verify failure\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# GREEN — verify pass\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# Full suite — verify no regressions\\nterminal(\\\"pytest tests/ -q\\\")\\n```\\n\\n### With delegate_task\\n\\nWhen dispatching subagents for implementation, enforce TDD in the goal:\\n\\n```python\\ndelegate_task(\\n goal=\\\"Implement [feature] using strict TDD\\\",\\n context=\\\"\\\"\\\"\\n Follow test-driven-development skill:\\n 1. Write failing test FIRST\\n 2. Run test to verify it fails\\n 3. Write minimal code to pass\\n 4. Run test to verify it passes\\n 5. Refactor if needed\\n 6. Commit\\n\\n Project test command: pytest tests/ -q\\n Project structure: [describe relevant files]\\n \\\"\\\"\\\",\\n toolsets=['terminal', 'file']\\n)\\n```\\n\\n### With systematic-debugging\\n\\nBug found? Write failing test reproducing it. Follow TDD cycle. The test proves the fix and prevents regression.\\n\\nNever fix bugs without a test.\\n\\n## Testing Anti-Patterns\\n\\n- **Testing mock behavior instead of real behavior** — mocks should verify interactions, not replace the system under test\\n- **Testing implementation details** — test behavior/results, not internal method calls\\n- **Happy path only** — always test edge cases, errors, and boundaries\\n- **Brittle tests** — tests should verify behavior, not structure; refactoring shouldn't break them\\n\\n## Final Rule\\n\\n```\\nProduction code → test exists and failed first\\nOtherwise → not TDD\\n```\\n\\nNo exceptions without the user's explicit permission.\\n\", \"path\": \"software-development/test-driven-development/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/software-development/test-driven-development\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"testing\", \"tdd\", \"development\", \"quality\", \"red-green-refactor\"], \"related_skills\": [\"systematic-debugging\", \"writing-plans\", \"subagent-driven-development\"]}}}",
"tool_call_id": "call_kvcr6FlQuBkUGXWo7g0zqM4f"
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{
"role": "tool",
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"content": "{\"success\": true, \"name\": \"web-scraping\", \"description\": \"Techniques for scraping web content, handling bot detection, and extracting structured data from websites.\", \"tags\": [\"web\", \"scraping\", \"research\", \"browser\"], \"related_skills\": [\"tavily-search\", \"tavily-extract\"], \"content\": \"---\\nname: web-scraping\\ndescription: \\\"Techniques for scraping web content, handling bot detection, and extracting structured data from websites.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [web, scraping, research, browser]\\n related_skills: [tavily-search, tavily-extract]\\n---\\n\\n# Web Scraping\\n\\nTechniques for extracting data from websites when standard search tools don't provide sufficient detail.\\n\\n## When to Use\\n\\n- When you need detailed, structured data from a specific website (pricing, schedules, menus, etc.)\\n- When search results don't contain the level of detail the user needs\\n- When the target website has a structured page (not a single-page app requiring JS rendering)\\n\\n## Available Approaches\\n\\n### 1. tavily-extract (Preferred)\\n\\nBest for simple websites with static HTML content. Extracts clean markdown from a URL.\\n\\n```\\ntavily-extract: Extract clean markdown or text content from specific URLs\\n```\\n\\n### 2. browser_navigate (For complex sites)\\n\\nFor sites that require JavaScript rendering or have complex layouts.\\n\\n```\\nbrowser_navigate: Navigate to a URL and get a DOM snapshot\\n```\\n\\n## Pitfalls\\n\\n### Bot Detection\\n\\nMany websites (especially commercial ones like cinemas, booking platforms, e-commerce) employ aggressive bot detection:\\n\\n- **Symptom**: Page returns \\\"Access error\\\", \\\"Allo Houston?\\\", CAPTCHA, or \\\"Why did this happen?\\\" pages\\n- **Common targets**: pathe.ch, cinepolis.ch, booking platforms, ticketing sites\\n- **Cause**: IP-based rate limiting, Cloudflare protection, or similar WAF\\n- **Mitigation**:\\n - Try a different URL path (sometimes specific pages are less protected)\\n - Try alternative domains (e.g., `.ch` vs `.com`, different subdomains)\\n - Use search engines as an intermediary (Google cached pages)\\n - Consider the `tavily-extract` tool which may use different extraction infrastructure\\n - If all else fails, inform the user that the site is blocking automated access\\n\\n### Session 2026-05-07 Case Study: Pathe Spreitenbach\\n\\n**Problem**: All attempts to access pathe.ch returned \\\"Access error\\\" with IP 31.10.138.136 blocked.\\n\\n**URLs tried**:\\n- `pathe.ch/de-ch/filme/spreitenbach`\\n- `pathe.ch/de-ch/kino/spreitenbach`\\n- `pathe.ch/de-ch/preise`\\n- Google search (also blocked)\\n\\n**Result**: Complete failure. All 15+ attempts returned the same error.\\n\\n**Lesson**: Commercial cinema websites in Switzerland use aggressive bot detection. When this happens:\\n1. Try alternative sources (ticketing platforms, aggregator sites)\\n2. Try `tavily-extract` instead of `browser_navigate`\\n3. If still blocked, inform the user and ask if they can provide the information directly\\n\\n### Session 2026-05-08: Search Engine Failures\\n\\n**Problem**: Both Tavily (`tvly`) and DuckDuckGo HTML endpoint failed for a general web search.\\n\\n**Root causes**:\\n- **Tavily**: API key not configured in environment — the tool silently fails with \\\"No Tavily API key found\\\"\\n- **DuckDuckGo HTML**: Returns a JavaScript challenge page (`/anomaly.js`) for automated requests. `curl` and `web_fetch` cannot solve it.\\n\\n**Fallback chain for web search**:\\n1. `tavily-search` — if API key is configured\\n2. `tavily-extract` on specific known-good URLs\\n3. `browser_navigate` on the target site (for JS-rendered pages)\\n4. `multi-search-engine` via **Startpage** or **Brave** (NOT DuckDuckGo HTML, NOT Google from server IP)\\n5. Inform user when all automated sources are exhausted\\n\\n### Dynamic Content\\n\\nSome sites load content via JavaScript (SPA frameworks). `browser_navigate` may return an empty DOM. Look for:\\n- JavaScript errors in the snapshot\\n- Empty content areas\\n- Loading spinners instead of actual data\\n\\n### Rate Limiting\\n\\nIf you get intermittent failures, you may be rate-limited. Wait 30-60 seconds between requests to different sites.\\n\\n## Workflow\\n\\n1. **Check if search provides the answer** — Often `tavily-search` + `tavily-extract` is sufficient\\n2. **Try `tavily-extract` on the target URL** — Best balance of reliability and content quality\\n3. **Fall back to `browser_navigate`** — For complex sites or when extract fails\\n4. **Handle bot detection** — If blocked, try alternative URLs/sources, then inform the user\\n5. **Structure the output** — Present findings in tables or structured format as requested\\n\\n## Linked Resources\\n\\n- `references/bot-detection-cases.md` — Documented cases of bot detection and their resolutions.\\n\\n## Notes\\n\\n- Always prefer `tavily-search` + `tavily-extract` over direct browser navigation\\n- Browser navigation should be a last resort for structured data extraction\\n- When bot detection is encountered, inform the user promptly rather than retrying indefinitely\", \"path\": \"research/web-scraping/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/research/web-scraping\", \"linked_files\": {\"references\": [\"references/bot-detection-cases.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"web\", \"scraping\", \"research\", \"browser\"], \"related_skills\": [\"tavily-search\", \"tavily-extract\"]}}}",
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"content": "{\"content\": \" 1|import { createRouter, createWebHistory } from 'vue-router'\\n 2|\\n 3|const CommandCenter = () => import('@/pages/CommandCenter.vue')\\n 4|const PortfolioPage = () => import('@/pages/PortfolioPage.vue')\\n 5|const CryptoPage = () => import('@/pages/CryptoPage.vue')\\n 6|const EquityPage = () => import('@/pages/EquityPage.vue')\\n 7|const WalletsPage = () => import('@/pages/WalletsPage.vue')\\n 8|const ReportsPage = () => import('@/pages/ReportsPage.vue')\\n 9|const PositionAddPage = () => import('@/pages/PositionAddPage.vue')\\n 10|const RoadmapPage = () => import('@/pages/RoadmapPage.vue')\\n 11|const BudgetOverviewPage = () => import('@/pages/BudgetOverviewPage.vue')\\n 12|const BudgetStatusPage = () => import('@/pages/BudgetStatusPage.vue')\\n 13|const BudgetPlanningPage = () => import('@/pages/BudgetPlanningPage.vue')\\n 14|const BudgetVsActualPage = () => import('@/pages/BudgetVsActualPage.vue')\\n 15|const BudgetTransactionsPage = () => import('@/pages/BudgetTransactionsPage.vue')\\n 16|const BudgetAccountsPage = () => import('@/pages/BudgetAccountsPage.vue')\\n 17|const BudgetCategoriesPage = () => import('@/pages/BudgetCategoriesPage.vue')\\n 18|const BudgetSetupPage = () => import('@/pages/BudgetSetupPage.vue')\\n 19|const BudgetImportReviewPage = () => import('@/pages/BudgetImportReviewPage.vue')\\n 20|const BudgetMonthlyImportPage = () => import('@/pages/BudgetMonthlyImportPage.vue')\\n 21|const BudgetGroceryOptimizerPage = () => import('@/pages/BudgetGroceryOptimizerPage.vue')\\n 22|const BudgetIncomePage = () => import('@/pages/BudgetIncomePage.vue')\\n 23|const BudgetRulesPage = () => import('@/pages/BudgetRulesPage.vue')\\n 24|const BudgetRecurringPage = () => import('@/pages/BudgetRecurringPage.vue')\\n 25|const BudgetTransfersPage = () => import('@/pages/BudgetTransfersPage.vue')\\n 26|const DataExplorerPage = () => import('@/pages/DataExplorerPage.vue')\\n 27|const CategoryAnalysisPage = () => import('@/pages/CategoryAnalysisPage.vue')\\n 28|const MonthlyComparisonPage = () => import('@/pages/MonthlyComparisonPage.vue')\\n 29|\\n 30|const later = (title: string, description: string) => ({ component: RoadmapPage, props: { title, description }, meta: { title } })\\n 31|const router = createRouter({\\n 32| history: createWebHistory(),\\n 33| routes: [\\n 34| { path: '/', name: 'command-center', component: CommandCenter, meta: { title: 'Command Center' } },\\n 35| { path: '/portfolio', name: 'portfolio', component: PortfolioPage, meta: { title: 'Portfolio' } },\\n 36| { path: '/crypto', name: 'crypto', component: CryptoPage, meta: { title: 'Crypto' } },\\n 37| { path: '/equity', name: 'equity', component: EquityPage, meta: { title: 'Aktien & ETFs' } },\\n 38| { path: '/wallets', name: 'wallets', component: WalletsPage, meta: { title: 'Wallets' } },\\n 39| { path: '/positions/add', name: 'position-add', component: PositionAddPage, meta: { title: 'Position hinzufügen' } },\\n 40| { path: '/reports', name: 'reports', component: ReportsPage, meta: { title: 'Reports' } },\\n 41| { path: '/planning/budget', name: 'budget-overview', component: BudgetOverviewPage, meta: { title: 'Budget Übersicht' } },\\n 42| { path: '/planning/budget/status', name: 'budget-status', component: BudgetStatusPage, meta: { title: 'Budgetstatus nach Kategorie' } },\\n 43| { path: '/planning/budget/planning', name: 'budget-planning', component: BudgetPlanningPage, meta: { title: 'Budgetplanung' } },\\n 44| { path: '/planning/budget/transactions', name: 'budget-transactions', component: BudgetTransactionsPage, meta: { title: 'Manuelle Budget-Transaktionen' } },\\n 45| { path: '/planning/budget/accounts', name: 'budget-accounts', component: BudgetAccountsPage, meta: { title: 'Budget-Konten' } },\\n 46| { path: '/planning/budget/categories', name: 'budget-categories', component: BudgetCategoriesPage, meta: { title: 'Budget-Kategorien' } },\\n 47| { path: '/planning/budget/tags', name: 'budget-tags-later', ...later('Tags', 'Tag-Verwaltung ist als Budget Setup-Unterseite vorgesehen. Aktuell erfolgt sie im bestehenden Kategorien/Setup-Flow.') },\\n 48| { path: '/planning/budget/setup', name: 'budget-setup', component: BudgetSetupPage, meta: { title: 'Excel übernehmen / Seed Review' } },\\n 49| { path: '/planning/budget/plans', name: 'budget-plans-later', ...later('Budgetpläne', 'Budgetpläne sind produktiv übernommen; Detailpflege folgt als eigener Editor.') },\\n 50| { path: '/planning/budget/monthly', name: 'budget-monthly-later', ...later('Monatsbudget', 'Monatsbudget ist im Budgetstatus je Kategorie sichtbar; Detailseite folgt.') },\\n 51| { path: '/planning/budget/yearly', name: 'budget-yearly-later', ...later('Jahresbudget', 'Jahresbudget ist im Budgetstatus je Kategorie sichtbar; Detailseite folgt.') },\\n 52| { path: '/planning/budget/income', name: 'budget-income', component: BudgetIncomePage, meta: { title: 'Einkünfte' } },\\n 53| { path: '/planning/budget/income/planned', name: 'budget-income-planned', component: BudgetIncomePage, meta: { title: 'Geplante Einnahmen' } },\\n 54| { path: '/planning/budget/income/actual', name: 'budget-income-actual', component: BudgetIncomePage, meta: { title: 'Effektive Einnahmen' } },\\n 55| { path: '/planning/budget/income/forecast', name: 'budget-income-forecast', component: BudgetIncomePage, meta: { title: 'Einkommen Prognose' } },\\n 56| { path: '/planning/budget/expenses/actual', name: 'budget-expenses-actual', component: BudgetTransactionsPage, meta: { title: 'Effektive Ausgaben' } },\\n 57| { path: '/planning/budget/expenses/manual', name: 'budget-expenses-manual', component: BudgetTransactionsPage, meta: { title: 'Manuelle Ausgabe' } },\\n 58| { path: '/planning/budget/expenses/review', name: 'budget-expense-review', component: BudgetImportReviewPage, meta: { title: 'Buchungen prüfen' } },\\n 59| { path: '/planning/budget/transfers', name: 'budget-transfers', component: BudgetTransfersPage, meta: { title: 'Transfers' } },\\n 60| { path: '/planning/budget/import-review', redirect: '/planning/budget/expenses/review' },\\n 61| { path: '/planning/budget/category-assignment', redirect: '/planning/budget/expenses/review' },\\n 62| { path: '/planning/budget/analysis/budget-vs-actual', name: 'budget-vs-actual', component: BudgetVsActualPage, meta: { title: 'Budget vs Ist' } },\\n 63| { path: '/planning/budget/analysis/data-explorer', name: 'budget-data-explorer', component: DataExplorerPage, meta: { title: 'Daten-Explorer' } },\\n 64| { path: '/planning/budget/analysis/categories', name: 'budget-category-analysis', component: CategoryAnalysisPage, meta: { title: 'Kategorieanalyse' } },\\n 65| { path: '/planning/budget/analysis/monthly', name: 'budget-monthly-analysis', component: MonthlyComparisonPage, meta: { title: 'Monatsvergleich' } },\\n 66| { path: '/planning/budget/analysis/forecast', name: 'budget-forecast', component: BudgetOverviewPage, meta: { title: 'Prognose' } },\\n 67| { path: '/planning/budget/analysis/traffic-lights', name: 'budget-traffic-lights', component: BudgetOverviewPage, meta: { title: 'Ampeln' } },\\n 68| { path: '/planning/budget/imports', name: 'budget-imports-later', ...later('Imports, später', 'VISA/Migros/Cumulus-Massenimporte bleiben später; aktuell nur kontrollierter Review-Seed.') },\\n 69| { path: '/planning/budget/monthly-import', name: 'budget-monthly-import', component: BudgetMonthlyImportPage, meta: { title: 'Monatsimport' } },\\n 70| { path: '/planning/budget/grocery-optimizer', name: 'budget-grocery-optimizer', component: BudgetGroceryOptimizerPage, meta: { title: 'Migros Optimizer' } },\\n 71| { path: '/planning/budget/rules', name: 'budget-rules', component: BudgetRulesPage, meta: { title: 'Regeln' } },\\n 72| { path: '/planning/budget/fixed-costs', name: 'budget-fixed-costs', component: BudgetRecurringPage, meta: { title: 'Fixkosten & Abos' } },\\n 73| { path: '/planning/budget/duplicates', name: 'budget-duplicates-later', ...later('Duplikate, später', 'Minimale Duplikaterkennung existiert im Import Review; Detailmodul folgt später.') },\\n 74| { path: '/planning/budget/migros-cumulus', name: 'budget-migros-later', ...later('Migros/Cumulus Details', 'Details folgen nach kontrolliertem Import-Review.') },\\n 75| { path: '/planning/budget/visa-import', name: 'budget-visa-later', ...later('VISA Import', 'Kein VISA-Massenimport ohne Dry Run/Review.') },\\n 76| { path: '/planning/finance', name: 'finance-later', ...later('Finanzplanung, später', 'Langfristige Planung, Ziele und Szenarien folgen später.') },\\n 77| { path: '/analysis/performance', name: 'performance-later', ...later('Performance, später', 'Performancevergleich wird nicht in diesem Sprint gebaut.') },\\n 78| { path: '/analysis/contribution', name: 'contribution-later', ...later('Contribution, später', 'Gewinnbeitrag / Contribution ist Roadmap, kein Fake-Inhalt.') },\\n 79| { path: '/analysis/backtest', name: 'backtest-later', ...later('Backtest, später', 'Backtests sind Roadmap-Punkte.') },\\n 80| { path: '/analysis/analysts', name: 'analysts-later', ...later('Analysten, später', 'Analystenbewertungen folgen später ohne Provider-Abruf beim Rendern.') },\\n 81| { path: '/planning/goals', name: 'goals-later', ...later('Ziele, später', 'Finanzielle Ziele werden separat geplant.') }\\n 82| ]\\n 83|})\\n 84|export default router\\n 85|\", \"total_lines\": 84, \"file_size\": 9004, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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