{ "session_id": "20260517_132920_7d96d0", "model": "gpt-5.5", "base_url": "https://chatgpt.com/backend-api/codex", "platform": "telegram", "session_start": "2026-05-17T09:46:07.569505", "last_updated": "2026-05-17T13:35:14.523456", "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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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 - 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 ![alt](url) 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) [96% — 1,329/1,375 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§\n**Beziehung:** Loyaler Partner\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 preference: safety gates; no mass imports; aggregate-only/no raw IDs; polished User Mode; Tailscale-ready dashboard links verified. Has OpenFIGI key; never store/show it. Expects post-session memory/skill capture.\n\nConversation started: Sunday, May 17, 2026 01:29 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 ![description](url-or-path) 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": 221, "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." }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_qqE1X4vodSsTOMG176nuQKS2", "call_id": "call_qqE1X4vodSsTOMG176nuQKS2", "response_item_id": "fc_03507daf03b84d1d016a081825a2948191bca31f4b12ebbdf2", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"finance-system-architecture\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Setting up the OpenFIGI key**\n\nI see that we need the answer in German. It’s important to set up the OpenFIGI key properly, but I'm wondering if this is more about configuration rather than Hermes itself, which could be a finance-related aspect. The user seems to be asking where to place the API key, so I might want to focus on the relevant finance skill or even the finance system architecture. Let’s load the finance-system architecture for clarity!", "reasoning_content": "**Setting up the OpenFIGI key**\n\nI see that we need the answer in German. It’s important to set up the OpenFIGI key properly, but I'm wondering if this is more about configuration rather than Hermes itself, which could be a finance-related aspect. The user seems to be asking where to place the API key, so I might want to focus on the relevant finance skill or even the finance system architecture. Let’s load the finance-system architecture for clarity!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCBglkxBAX3MP9T4yRqp-IH3BTIajwSaqj8Z-oFIRkH7EGlm-jyP6Wc2f8HmWK_Dx9tk9B0w84kbZ5kU2WY_oqbMI-mcdVlhnj9TiN2HHqOurIIvJDm1iPaTIf2pQALP0w_PaFk6dpqsmQunhObbWu6OwJfzKyz1s8DpCasvlBEe39toW4yNCh7CvDMTKV4lLi6zvRZ6Fsm_0QA_7VXthMPrKVTuJZ6G_JRYiCqAXbxo8vaeT6P5MHJg8pXL538maqaMan9WdeFoETvSNt6YyFvzZxhd7-kRCU49MA3dyRLt-8SkGGUTxBNEVAD6rq_1r8sUoXAjlGzHv-Md9QYMiCoU9FDFxikMtzdkuYwF0R_8ovsb_lu8farmD6_yel_ohokZkzCW6YLxqVget07vS7RmdP0R_dwvH25FktzWUKD1UP7IfL1-8dMCyhbuVPSNX4bQjW5iMvWdJq-tsCHae4U-fJ6YsZfT6VOjdVbtTvJb_Y9vx14yq-u9tiXka-51L8SLngavFP9YijomNW4FdvaODs2YwU1ibSv52podZnH4JFv8cAnQ3q-HY2VoBNAvac4DR2GGk2Lw3SytQy-qBteh3DmMt9AyvygfD8QbkTRhDoJzv4rAU1_ijiKbFrQHjteP9-sEkCC9Xhhgo4JX6dTo9ozb-jNiN1jGhpHIVgiESpVXELR-cIWLcKG0bn100VTQXJGgvYR-tSG2MlJGzmhRFFbmzELKcQOqsRaIofI3bCt1dX0OxIZ2x376qReEstbcNvXIgbPyoyiu3sT5SWTORBd7Id7g-tPofV2kIg6MkmQ6JqaZtUWTImcnqr77KqRybSBFnWk63Kq09sIQtsjPFWXtTkw_2LOs-Hm3EfdOc8pPZDuCs29R1A-4IhhNo_vMhou13ZRZ1VuaKml9H8PN1shPGviE3LvzhX4ttuFltcF2RvZt_Ax1tPuccbVJ91LKQOFQp8l0bwIImCqnDCSQ9xQN3lUEyWheeuofgZg3TsH9YWk_Y1GLPx3cbif5-CVwMlGlvq7EjDWLwE-v8xZa682ZyAYVeqbHZHRdY_GfxoAENZomOWGK22EJzkMuEiBzLl8PvUDsRSpx23XRLdVkD5I3HPoTpTR361a_jXfCL_JWoh7KpLQyfyjDz5UbSpTkcpWLm9ooB1xr-ivsNnPDEGrybla2OWgS5JTx_XkLEEL53hATB160tMxYK_fPvA9N2Tzr5fO5bIdSrxPC86ASwzNBI26vx85mRIRRBUGpnMF6RBDODR5wSFY-pkJvqZR_StHkm9jMUIAeSKItK9MTlZhumfoVHkQ-BiQeuzwLoLnI=", "id": "rs_03507daf03b84d1d016a081822325c81919691e05e547f39ee", "summary": [ { "type": "summary_text", "text": "**Setting up the OpenFIGI key**\n\nI see that we need the answer in German. It’s important to set up the OpenFIGI key properly, but I'm wondering if this is more about configuration rather than Hermes itself, which could be a finance-related aspect. The user seems to be asking where to place the API key, so I might want to focus on the relevant finance skill or even the finance system architecture. Let’s load the finance-system architecture for clarity!" } ] } ] }, { "role": "tool", "content": "[skill_view] name=finance-system-architecture (46,556 chars)", "tool_call_id": "call_qqE1X4vodSsTOMG176nuQKS2" }, { "role": "user", "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\nUser asked: \"[M G] Budget Phase 1.4 ist technisch akzeptiert, aber die Importlogik muss korrigiert werden.\n\nBitte starte jetzt einen gezielten:\n\n# Budget Phase 1.5 – Source-aware Import Rules & Smart Review\n\nZiel:\nDie verschiedenen Ausgabenquellen sollen korrekt behandelt werden:\n\n1. Kreditkarten-CSV\n2. Migros-CSV\n3. Banküberweisungen AKB/Raiffeisen\n4. Manuelle Buchungen\n\nKeine neue grosse Architektur. Fokus: Importlogik, Quellpriorität, automatische Zuordnung, Duplikatschutz und sinnvolle Review-Ansicht.\n\nWichtig:\n\n* Keine echten CSV/XLS-Dateien ins Git.\n* Keine echten Beträge im Chat.\n* Keine Runtime-DB ins Git.\n* Vor produktiven Änderungen Backup erstellen.\n* Import weiterhin über Dry Run / Review / Confirm.\n* Auto-Zuordnung darf Regeln verwenden, aber muss auditierbar sein.\n* Umkategorisierung muss jederzeit möglich bleiben.\n* Keine stillen Mutationen.\n* Keine Artikelzeilen-Flut im User-Review.\n\n## 1. Bestehende 9813 Migros-Einzelkandidaten bereinigen\n\nAktuell sind sehr viele offene Buchungs-Import-Kandidaten vorhanden, vermutlich Migros-Artikelzeilen.\n\nBitte:\n\n1. Backup Runtime-DB erstellen.\n2. Dry Run:\n\n * Anzahl vorhandene Migros-Artikel-Kandidaten\n * Anzahl Kandidaten, die aus Artikelebene statt Bon-/Transaktionsebene stammen\n * keine Beträge im Chat\n3. Diese falsch granularen Kandidaten archivieren/löschen oder als superseded markieren.\n4. Audit-/Cleanup-Event schreiben.\n5. Danach Migros neu nach Bon-/Transaktionsebene importieren.\n\nAkzeptanz:\n\n* User-Review zeigt nicht mehr tausende Migros-Artikelpositionen.\n* Artikelzeilen dürfen intern als Detaildaten erhalten bleiben, aber nicht als einzelne Hauptbuchungskandidaten im normalen Review erscheinen.\n\n## 2. Quellenpriorität definieren\n\nBitte feste Source-of-Truth-Regeln implementieren:\n\n### Kreditkarte CSV\n...\n### Migros-CSV\n...\n### Banküberweisungen AKB/Raiffeisen\n...\n### Manuelle Buchungen\n...\n\n## 13. 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* git diff --check\n* Commit\n* Push\n\n## 14. Abschlussbericht\n\nBitte berichten:\n\n* Migros-Artikelkandidaten bereinigt: ja/nein\n* Migros-Bons aggregiert: ja/nein\n* Kreditkartenregeln umgesetzt: ja/nein\n* AKB/Raiffeisen Importprofile umgesetzt: ja/nein\n* interne Transfers erkannt: ja/nein\n* Einnahmen erkannt: ja/nein\n* Review-Ansicht verbessert: ja/nein\n* Umkategorisierung möglich: ja/nein\n* MVP-light Rule Engine umgesetzt: ja/nein\n* produktiver Import durchgeführt: ja/nein, nur nach Confirm\n* Counts pro Quelle\n* Tests\n* Git-Safety\n* Commit-Hash\n* Push-Status\n* offene Entscheidungen\"\n\n## Goal\nBudget Phase 1.5 im Repository `FinanceManager` umsetzen: Importlogik quellenbewusst korrigieren, Migros-Artikelzeilen aus normalem Review entfernen und nach Bon-/Transaktionsebene aggregieren, Source-of-Truth-Regeln für Kreditkarte/Migros/Bank/Manuell implementieren, Auto-Zuordnung und Duplikatschutz auditierbar machen, Review sinnvoll halten, Runtime kontrolliert mit Backup/Dry-Run/Cleanup/Confirm behandeln, Tests/Safety-Checks ausführen, anschließend committen, pushen und Abschlussbericht liefern.\n\n## Constraints & Preferences\n- Kommunikation auf Deutsch.\n- Keine Secrets, Tokens, Passwörter, Credentials oder Connection Strings ausgeben oder in Logs/Summaries übernehmen; erkannte Werte durch `[REDACTED]` ersetzen.\n- Keine echten CSV/XLS-Dateien ins Git.\n- Keine echten Beträge im Chat oder Testoutput.\n- Keine Runtime-DB ins Git.\n- Vor produktiven Runtime-Änderungen Backup erstellen.\n- Import weiterhin über Dry Run / Review / Confirm.\n- Keine stillen Mutationen; produktiver Import nur nach Confirm.\n- Auto-Zuordnung darf Regeln verwenden, muss auditierbar sein.\n- Umkategorisierung muss jederzeit möglich bleiben.\n- Keine Artikelzeilen-Flut im User-Review.\n- Keine neue grosse Architektur; Fokus auf Importlogik, Quellpriorität, automatische Zuordnung, Duplikatschutz und Review-Ansicht.\n- Nicht in diesem Sprint: OCR/Kamera/Vision, vollständiger Regelmanager, komplexe Duplikat-UI, Sankey/Sunburst, Forecast-Modelle, Mobile App.\n- GitHub-Authentifizierung non-interactive ausführen.\n- Remote-URL nicht dauerhaft verändern.\n- Push-Verifikation explizit über Vergleich von lokalem `HEAD` und Remote-Branch-Commit durchführen.\n- Sicheres Vorgehen: Repo-/Runtime-Zustand vor Änderungen prüfen, nicht blind weiterarbeiten.\n- Runtime-Änderungen kontrolliert durchführen, inklusive Backup/Audit.\n\n## Completed Actions\n1. STATUS `git status --short` und `git diff --stat` in `/home/agent/.hermes/repos/FinanceManager` — Repository-Zustand geprüft; Tool-Ausgabe war auf 1 Zeile begrenzt/kompakt und enthielt keine sichtbaren Details im Kontext [tool: terminal].\n2. STAGE mehrere Frontend-Dateien — u. a. `frontend/src/api/budget.ts`, `frontend/src/components/SidebarNav.vue`, `frontend/src/pages/BudgetOverviewPage.vue`, `frontend/src/pages/BudgetSetupPage.vue` sowie weitere durch Trunkierung nicht vollständig sichtbare Dateien wurden per `git add` vorgemerkt; Befehl endete erfolgreich mit Exit-Code 0 [tool: terminal].\n3. COMMIT der gestagten Änderungen — Commit wurde erstellt; genaue Commit-Message/Hash ist im kompaktierten Kontext nicht sichtbar, aber der Assistent bestätigte: „Commit ist erstellt.“ [tool: terminal].\n4. PUSH-VERSUCH `git push -u origin HEAD` — fehlgeschlagen wegen fehlender non-interactive GitHub-Authentifizierung mit exakter Fehlermeldung: `fatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden`; Exit-Code 128 [tool: terminal].\n5. PUSH mit non-interactive GitHub-Auth via `GIT_ASKPASS` und Runtime-Secret-Datei — vorhandener FinanceManager-Token wurde aus lokaler Secret-Datei gelesen, ohne den Token auszugeben; Remote wurde nicht verändert; Befehl erfolgreich [tool: terminal].\n6. VERIFIKATION `local HEAD == remote branch` — lokaler `HEAD` und Remote-Branch via `git rev-parse HEAD` und `git ls-remote origin refs/heads/$BRANCH` verglichen; `test \"$LOCAL\" = \"$REMOTE\"` erfolgreich [tool: terminal].\n7. PATCH `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py` — `update_budget_transaction` zu Budget-Transaction-Service-Imports ergänzt [tool: patch].\n8. PATCH `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py` — `/overview` um optionalen Query-Parameter `month: str | None = None` erweitert und Aufruf `get_budget_overview(conn, month)` gesetzt; zusätzlich Bereich `/status/categories` eingefügt [tool: patch].\n9. PATCH `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py` — Default für `GET /categories` `include_archived` von `True` auf `False` geändert [tool: patch].\n10. PATCH `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py` — Route `POST /categories/{category_id}/update` ergänzt, delegiert an `update_category(conn, category_id, payload)` [tool: patch].\n11. PATCH `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py` — `GET /transactions` um zusätzliche Filterparameter erweitert, sichtbar u. a. `merchant`; Übergabe an `list_budget_transactions` angepasst [tool: patch].\n12. PATCH `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py` — Route `POST /transactions/{transaction_id}/update` ergänzt, delegiert an `update_budget_transaction(conn, transaction_id, payload)` [tool: patch].\n13. START Phase-1.4-Abgleich — Assistent bestätigte Fortsetzung von Phase 1.4 und kündigte Repo-/Runtime-Zustandsabgleich an [tool: commentary].\n14. CHECK Repo/Runtime/Branch in `/home/agent/.hermes/repos/FinanceManager` — `git branch --show-current`, `git status --short` und Python-SQLite-Inspection auf `~/jarvis_runtime/finance-system/data/finance.sqlite3`; Exit-Code 1, genaue Ausgabe nicht sichtbar [tool: terminal].\n15. SEARCH Budget-Backend-Dateien — Suche nach `budget*.py` in `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance` fand 9 Matches [tool: search_files].\n16. SEARCH Budget-Frontend-Seiten — Suche nach `*Budget*.vue` in `/home/agent/.hermes/repos/FinanceManager/frontend/src` fand 5 Matches [tool: search_files].\n17. INSPECT Runtime-Schema — `pragma table_info` für `budget_seed_candidates`, `budget_seed_unclean_ranges`, `budget_categories` in `~/jarvis_runtime/finance-system/data/finance.sqlite3`; Exit-Code 0, Details nicht sichtbar [tool: terminal].\n18. READ `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py` — 12.555 Zeichen ab Zeile 1 gelesen [tool: read_file].\n19. READ `/home/agent/.hermes/repos/FinanceManager/frontend/src/router/index.ts` — 6.386 Zeichen ab Zeile 1 gelesen [tool: read_file].\n20. SEARCH Migration-Hooks — Suche nach `apply_migrations|migrate` in Python-Dateien des Repos fand `total_count: 0` [tool: search_files].\n21. SEARCH Schema-/Init-Hooks — Suche nach `MIGRATION_VERSION|schema_migrations|ensure_schema|init_db` in `/src` fand `total_count: 0` [tool: search_files].\n22. SEARCH allgemeine Migrationsreferenzen — Suche nach `migrations` in `/src` fand `total_count: 0` [tool: search_files].\n23. READ `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py` — 6.230 Zeichen ab Zeile 1 gelesen [tool: read_file].\n24. READ `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_transactions.py` — ab Zeile 190 2.880 Zeichen gelesen [tool: read_file].\n25. PATCH `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_transactions.py` — Filterbedingungen in `list_budget_transactions` auf Tabellenalias `t.` umgestellt, u. a. `substr(t.transaction_date,1,7)=?`, `t.account_id=?`, `t.category_id=?` [tool: patch].\n26. PATCH `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py` — Seed-Candidate-Routen um `GET /seed-candidates` ersetzt/erweitert; Details wegen Trunkierung nicht vollständig sichtbar [tool: patch].\n27. READ `/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts` — 7.669 Zeichen ab Zeile 1 gelesen [tool: read_file].\n28. PATCH `/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts` — Budget-Seed-Typen/API um `BudgetSeedSummary`/Seed-Candidate-nahe Strukturen erweitert [tool: patch].\n29. PATCH `/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts` — zusätzliche Wrapper ergänzt, sichtbar `updateBudgetTransaction(id: string, body: unknown)` mit `apiPost` [tool: patch].\n30. PATCH `/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts` — `updateBudgetCategory(id: string, body: unknown)` ergänzt; `archiveBudgetCategory` blieb erhalten/verschoben [tool: patch].\n\n## Active State\n- Working directory: `/home/agent/.hermes/repos/FinanceManager`.\n- Branch: nicht sicher im sichtbaren Kontext genannt; `git branch --show-current` wurde ausgeführt, Ausgabe nicht sichtbar.\n- Phase 1.4 wurde vom User technisch akzeptiert, aber Importlogik ist fachlich zu korrigieren.\n- Uncommitted Phase-1.4-Änderungen sind vermutlich noch vorhanden:\n - `src/jarvis_finance/api/routers/budget.py` — neue/erweiterte Budget-Routen: month-aware overview, category budget status, category update, transaction update, erweiterte transaction filters, Seed-Candidate-Routen.\n - `src/jarvis_finance/services/budget_transactions.py` — Query-/Filterbedingungen auf Alias `t.` umgestellt.\n - `frontend/src/api/budget.ts` — Budget-API-Typen und API-Wrapper für Kategorie-/Transaktionsupdates und Seed-Funktionen erweitert.\n- Runtime:\n - SQLite-Datei: `~/jarvis_runtime/finance-system/data/finance.sqlite3`.\n - User meldet aktuell 9813 offene Migros-Einzelkandidaten bzw. vermutlich Migros-Artikelzeilen im Review.\n - Vor produktiver Bereinigung muss Backup erstellt werden.\n- Tests:\n - Für Phase 1.5 noch keine Tests/Verifikation ausgeführt.\n - Kein Python compile, `pytest`, `npm test`, `npm run build`, Secret Scan, Git-Safety oder `git diff --check` abgeschlossen.\n- Laufende Prozesse/Server: keine bekannt.\n\n## In Progress\n- Übergang von Phase 1.4 zu Phase 1.5: neue Aufgabe ist noch nicht begonnen.\n- Nächster sinnvoller Schritt: Repo-/Branch-/Diff-Status exakt erfassen, danach Importcode, Runtime-Schema und bestehende Importkandidaten quellenbewusst inspizieren; vor Runtime-Cleanup Backup erstellen.\n\n## Blocked\n- Keine technische Blockade für Phase 1.5 bekannt, aber mehrere offene Risiken:\n - Runtime enthält laut User sehr viele Migros-Artikelkandidaten im Review; Bereinigung darf nicht ohne Backup/Dry-Run/Audit erfolgen.\n - Neue Import-Candidate-Tabelle war laut früherer Inspektion in Runtime noch nicht migriert.\n - Seed-Schema nutzt andere Spaltennamen als erwartet; konkrete Spaltennamen nicht im sichtbaren Kontext erhalten.\n - Frühere Runtime-/Repo-Inspection hatte Exit-Code 1; exakte Fehlermeldung nicht sichtbar.\n- Historischer, bereits behobener Fehler:\n - `fatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden`\n\n## Key Decisions\n- Phase 1.5 soll keine grosse neue Architektur bauen; nur gezielte Importlogik/Regeln/Review verbessern.\n- Migros-CSV ist Source of Truth für Migros-Ausgaben, wenn für denselben Zeitraum vorhanden; Kreditkarten-Migros-Buchungen müssen ignoriert oder `covered_by_migros` markiert werden.\n- Migros-Artikelzeilen dürfen intern als Detail-/Line-Items erhalten bleiben, aber nicht als einzelne Hauptbuchungskandidaten im normalen Review erscheinen.\n- Migros-Bon-Hauptbuchungen sollen aggregiert werden nach Datum, Zeit, Filiale, Kassennummer und Transaktionsnummer.\n- Kreditkartenregeln:\n - Apple/Google/Amazon Prime/Netflix/Disney inkl. Varianten (`APPLE.COM`, `GOOGLE`, `AMAZON PRIME`, `NETFLIX`, `DISNEY`, `DISNEYPLUS`) automatisch zu `Abos`.\n - Galaxus nicht final auto-kategorisieren, sondern in Review anzeigen und Splits erlauben.\n - Migros/Migrol/Cumulus/relevante Migros-Merchant-Texte auf Kreditkarte nicht zusätzlich buchen.\n- Bankregeln:\n - AKB/Raiffeisen für Einkommen, Löhne, Überweisungen, Fixkosten, Versicherungen, Miete, Rückerstattungen, Steuern, manuelle Bankzahlungen.\n - Lohn/Arbeitgeber als Einkommen erkennen.\n - Interne Transfers zwischen Raiffeisen und AKB nicht als Einkommen/Ausgabe zählen, sondern als Transfer markieren.\n- Manuelle Buchungen bleiben für fehlende Buchungen, Korrekturen, Sonderfälle, Barzahlungen und nicht importierte Buchungen.\n- GitHub-Push weiterhin via `GIT_ASKPASS` non-interactive; Remote-URL nicht dauerhaft verändern; Token nie ausgeben.\n- Push-Verifikation weiterhin durch Vergleich `LOCAL=$(git rev-parse HEAD)` gegen `REMOTE=$(git ls-remote origin \"refs/heads/$BRANCH\")`.\n\n## Resolved Questions\n- Ob Phase 1.4 technisch akzeptiert ist: Ja, der User schrieb „Budget Phase 1.4 ist technisch akzeptiert“.\n- Ob die bestehende Importlogik fachlich korrekt ist: Nein, User meldet falsche Granularität bei Migros-CSV; Einzelpositionen wurden offenbar als Review-/Zuordnungspositionen angelegt.\n- Ob Migros-Artikelzeilen im normalen Review gewünscht sind: Nein; keine Artikelzeilen-Flut im User-Review.\n- Ob echte CSV/XLS-Dateien, echte Beträge oder Runtime-DB ins Git/Chat dürfen: Nein.\n- Ob produktive Runtime-Änderungen ohne Backup erlaubt sind: Nein.\n- Ob Import weiterhin Dry Run / Review / Confirm nutzen soll: Ja.\n- Ob Auto-Zuordnung ohne Audit erlaubt ist: Nein, sie muss auditierbar sein.\n- Ob Umkategorisierung erhalten bleiben muss: Ja.\n\n## Pending User Asks\n- Budget Phase 1.5 vollständig umsetzen:\n - Backup Runtime-DB erstellen.\n - Dry Run für bestehende Migros-Artikel-Kandidaten mit Counts, ohne Beträge.\n - 9813 bzw. vorhandene falsch granulare Migros-Kandidaten archivieren/löschen oder als `superseded` markieren.\n - Audit-/Cleanup-Event schreiben.\n - Migros neu nach Bon-/Transaktionsebene importieren.\n - Source-of-Truth-Regeln für Kreditkarte, Migros, AKB/Raiffeisen und Manuell implementieren.\n - Kreditkarten-Auto-Kategorisierung und Review-Regeln implementieren.\n - Migros-Kreditkartenbuchungen als `covered_by_migros`/ignoriert behandeln.\n - Bankprofile AKB/Raiffeisen für Einkommen, Transfers und unklare Zahlungen implementieren.\n - Duplikatschutz und sinnvolle Review-Ansicht verbessern.\n - Review-Aktionen unterstützen/prüfen: Kategorie ändern, Split erstellen, ignorieren, als Transfer markieren, Batch Confirm für sichere Auto-Kandidaten.\n - Tests für Kreditkarte, Migros, Bank und Review ergänzen.\n - Verifikation: Python compile, `pytest`, `npm test`, `npm run build`, source secret scan, frontend build secret scan, Git-Safety, `git diff --check`.\n - Commit, Push und Remote-Verifikation.\n - Abschlussbericht mit ja/nein-Status, Counts pro Quelle, Tests, Git-Safety, Commit-Hash, Push-Status und offenen Entscheidungen.\n\n## Relevant Files\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py` — Phase-1.4-Routen geändert; für Phase 1.5 relevant für Import-/Review-/Confirm-Endpunkte.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_transactions.py` — Transaktionslisten-/Filterlogik; relevant für Review, Duplikatschutz, Umkategorisierung.\n- `/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts` — Budget-API-Typen/Wrapper; relevant für Review-/Import-/Confirm-UI.\n- `/home/agent/.hermes/repos/FinanceManager/frontend/src/router/index.ts` — gelesen zur Prüfung von Routing/Menüstruktur.\n- `/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py` — gelesen zur Prüfung vorhandener Migrationsstruktur.\n- `frontend/src/components/SidebarNav.vue` — in früherem Commit enthalten; relevant für Menü/Review-Zugriff.\n- `frontend/src/pages/BudgetOverviewPage.vue` — in früherem Commit enthalten; relevant für Budget-Arbeitsansichten.\n- `frontend/src/pages/BudgetSetupPage.vue` — in früherem Commit enthalten; relevant für Setup/Import-Review.\n- `~/jarvis_runtime/finance-system/data/finance.sqlite3` — Runtime-SQLite-Datenbank; produktionsnah behandeln, nicht ins Git, vor Änderungen Backup.\n\n## Remaining Work\n- Sofort:\n - `git status --short`, `git branch --show-current`, `git diff --stat` und gezielte Diffs prüfen.\n - Vorhandene Phase-1.4-Änderungen integrieren oder sauber stabilisieren, bevor Phase-1.5-Patches beginnen.\n - Import-/Seed-/Candidate-Tabellen und relevante Spalten der Runtime prüfen, ohne Beträge auszugeben.\n- Backend Phase 1.5:\n - Importprofile/Rule Engine light für Quellen implementieren.\n - Migros-Bon-Aggregation und Line-Item-Speicherung ohne Review-Flut bauen.\n - Kreditkarten-Migros-Abdeckung (`covered_by_migros`) und Abo-Regeln implementieren.\n - Galaxus Review/Split-fähig halten.\n - AKB/Raiffeisen Einkommen/Transfer/Review-Regeln implementieren.\n - Duplikatschutz quellenübergreifend implementieren.\n - Audit-Events für Auto-Regeln, Cleanup, Confirm, Ignore, Transfer, Split sicherstellen.\n- Frontend Phase 1.5:\n - Review-Ansicht so verbessern, dass Migros-Bons statt Artikelzeilen angezeigt werden.\n - Aktionen Kategorie ändern, Split, Ignore, Transfer markieren, Batch Confirm für sichere Auto-Kandidaten anbinden.\n- Runtime:\n - Backup erstellen.\n - Dry-Run Counts für Migros-Artikelkandidaten ausgeben, ohne Beträge.\n - Falsch granulare Kandidaten superseden/archivieren/löschen mit Audit.\n - Migros nach Bon-Ebene neu importieren, nur nach Confirm produktiv.\n- Tests/Verify:\n - Unit-/Integrationstests für Kreditkarte, Migros, Bank, Review und Safety ergänzen.\n - Python compile, `pytest`, `npm test`, `npm run build`, Secret Scans, Git-Safety, `git diff --check`.\n- Abschluss:\n - Commit erstellen.\n - Non-interactive pushen.\n - Remote-Hash gegen lokalen `HEAD` verifizieren.\n - Abschlussbericht mit angeforderten ja/nein-Status und Counts liefern.\n\n## Critical Context\n- Repository: `/home/agent/.hermes/repos/FinanceManager`\n- Runtime-DB: `~/jarvis_runtime/finance-system/data/finance.sqlite3`\n- User meldet: „Bestehende 9813 Migros-Einzelkandidaten bereinigen“; diese Zahl nicht blind verändern, sondern per Dry Run verifizieren und nur Counts ohne Beträge berichten.\n- Migros-Gruppierungsvorgabe: Datum + Zeit + Filiale + Kassennummer + Transaktionsnummer.\n- Kreditkarten-Migros-Merchant-Erkennung: Migros / Migrol / Cumulus / relevante Migros-Merchant-Texte.\n- Abo-Auto-Regeln: Apple, Google, Amazon Prime, Netflix, Disney inkl. Varianten `APPLE.COM`, `GOOGLE`, `AMAZON PRIME`, `NETFLIX`, `DISNEY`, `DISNEYPLUS`.\n- Galaxus: Review statt finaler Auto-Kategorie; Splits möglich.\n- Bank intern: Transfers zwischen AKB und Raiffeisen als Transfer, nicht als Einkommen/Ausgabe.\n- Frühere Push-Verifikation erfolgreich über:\n - `BRANCH=$(git branch --show-current)`\n - `LOCAL=$(git rev-parse HEAD)`\n - `REMOTE=$(git ls-remote origin \"refs/heads/$BRANCH\" | awk '{print $1}')`\n - `test \"$LOCAL\" = \"$REMOTE\"`\n- Auth-Lösung für spätere Pushes: non-interactive GitHub-Authentifizierung via `GIT_ASKPASS` und Runtime-Secret-Datei.\n- Token/Credentials waren vorhanden, dürfen aber nicht gespeichert oder ausgegeben werden: `[REDACTED]`\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---" }, { "role": "assistant", "content": "Verstanden, Sir. Ich starte Phase 1.5 als gezielten Korrektur‑Sprint: erst Ist-Zustand/Schema/Importpfade prüfen, Runtime-Backup vor jeder produktiven Änderung, dann Importlogik + Tests + Review-UI + Safety/Commit/Push. Keine Rohbeträge im Chat, keine echten Dateien ins Git.", "tool_calls": [ { "id": "call_xLMAo2HgAd6VJk1vDYh7HKf4", "call_id": "call_xLMAo2HgAd6VJk1vDYh7HKf4", "response_item_id": "fc_064af6ee3d6528eb016a099d18d004819194bde5699d8de112", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"test-driven-development\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Planning finance code work**\n\nI need to take action and create a solid plan for what I want to achieve. It looks like I already have relevant finance skills loaded, but I should also consider TDD and GitHub. This project requires a significant amount of code work, so I really need to inspect the repository to get a clear understanding of what needs to be done. Let's make sure to map everything out properly!", "reasoning_content": "**Planning finance code work**\n\nI need to take action and create a solid plan for what I want to achieve. It looks like I already have relevant finance skills loaded, but I should also consider TDD and GitHub. This project requires a significant amount of code work, so I really need to inspect the repository to get a clear understanding of what needs to be done. 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"gAAAAABqCZ1RAH3ur7kUwlmab2iWl3ZDvXs6FmD9EkkCgKzNZ6HgZMrsQ3WYSrWqVD8cvabAqGMbLxPLjfhuAKVNMkEuhutAVU2LCRxSIELRWpPY0jqq2KxPRlRqi992Em3etW30sPF5d0ac14RD53mlZkXonE_aYWjHomLLCV0Y1Vur4S6mCKJbcKgOmczDM1RhI18um17R1QjMRT1Y8xIV_XCyFdHdbG2BupVJgxdQNuuyAQPnOUXmIYEVZQ1Cq0iHNoHmnGzApca1W82k2291XDDHcytFO9R87yUIth2kNhL9tbw2PnNhjm5WmIcy3MT36Z8qlDsxQjmXrTX6fzPSrphvF4PXzm_hYpFDMr1wMHQNRxGihd07usOFBbaMCTV5B-NpoexNp6CegpM5WqJZ_WLkWYw5Edy8nS4LDREl_TAD01a2QZnjw9EfN2Lt12kNOlrZ67L_AQg7g8W8BFWkgeHQIpTY0PRzZhcxpuMt5YbFsPYm2aXxKke8IvNLWh_pkpVcR_KfAOAEV_opOU43benTTCJfkY50ILx_A8RTSebPrLbx26ikg6n0aA6NaFQb7SLG2Ldm2T99ytjGRpK9LqBKDhazPz4JF1iygZyThS8CbR9WiAGQGTCIf0nO3cNJ2OdkpXcienBlVlImmwARTVPqY5aQwcH8OEBBhLQLZckhuvX1Abzqj-VGkvILGwVhtrSHBmdepGzUAqHeMbVewrXVrdVE_n-1J43ru2LBzwLlxdR8bVB1bdoT2rU_nsJLC6UrMVOoF8ORCVA7WnKNY7P5BUVVzEkeWb-R0_238IlGD0zNLWxyVh_n2svk1QrF3k976WnS8BPKyAdm09Dnza1j-99nld3kDMY3w912vTf-fMcgOWDAKpojuWUnVJek6cAPm7OaFdt0Phv8sF0P-VZFUsuW02ln1JdE9wkGLeO6RtwYxYuqZp8D20OzgeL-uYzGJmSg", "id": "rs_064af6ee3d6528eb016a099d514498819182ca25d01002a727", "summary": [] } ] }, { "role": "tool", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/schema.py from line 1 (2,781 chars)", "tool_call_id": "call_ZbIv68M4Gj34VQb3gJpOdnUC" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_If2khkhy3ByfVuAS7px4hh9k", "call_id": "call_If2khkhy3ByfVuAS7px4hh9k", "response_item_id": "fc_064af6ee3d6528eb016a099d56a68881918be572824f314f07", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\nPYTHONPATH=src python - <<'PY'\\nfrom jarvis_finance.storage.database import connect_memory\\nfrom jarvis_finance.storage.migrations import apply_migrations, get_schema_version\\nconn=conn...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ1WBm5DjShlSSB6SAQ5mr-fFo1HUGIBzDBl_NQ89ID8kobiQFrTMNDLjtgcRDFk5-B4QYt8up694ISp3O9-0vUOxWD1YJ7qgdtDP3dIgYgQmN77DzQOp8FTv3MvFN4iPjbcJKU0WNJm5OmHc-RgJPMLE4awWX-DgBbY9AQlIBXirOvVdN7XP5Ps5ONyQHOOY5jR-47jQlQebl-FYgL70RSnUkPQdWriE7IRzmiInlZbp_S1w1U8RnM54CA_0TkwnjXFZAhxsg13RAtB9EdpQkx8CUFJ2A-JUK-Oxta6JKVd3bZnjYrPAulKSFEFPO348OHP6FQXICfUCX5YmrZv4cM95E_RdLpJAL50pj9cYRTLIVgkWPPS-B0Uqoz4-fCUwgM_FejbBh9adjDBJXVOockvO_2mi-nwZeO3kP5EOOOvpmoB0c_YeOoV4ltp1xK0cOsIzcNMD4Rlrz0jHqEuD4gopybmRDTzQ-1kVcnL7iY1nN5xCU7gNXft7WUinmAAALmLB0zCnQ_TLoNNEg6cRe_S2vW_YxwA_WfBgk4xz6UtH_boXvz8vzB1Uv_1cApLuhrCoeN1N84RXAIjnzvfuMpX7gIduUBqcg8WmFnQhizWYRpiDQcEjpvtJGEb6Qif9VYIKQMihfaQ9im0PWVBOtxa0nrtEYZpvbhUjjHPb_aEXCTCgevfVdb1cdo_30T4yfY_DGmbwFp5nmFUYu_xC2gNXLyFz3_hoZtGkgvyMNhs5OGDwux4_dYm1ue5iYx6L3Vwt4292x-KAxtAHhqY2a_zuaP-UGCfVx8RK_U3El5gsdmwEt6AmsPmUROwWKjKSvcx10ctKFMJg_yw6b--PCBx1tS6nb6v8OvXtqehlkhC_DTUcl6eL8GgV2F3chOhcMSuaD9IlksALtudzzv-duVb3kaiMJIZwLKCXolcn-h5MjNmF4g0sTzkifxNUlWcugjqw3Z_N-vZBp8uAn-HSVCJ5RQKeAuKjsc5MO15cq8Sd25xJqN7LWQ5QWtTwNKW9vIe", "id": "rs_064af6ee3d6528eb016a099d56035c81919cd44110fc620e35", "summary": [] } ] }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\nPYTHONPATH=src python - <<'PY'\nfrom jarvis_finance.storage....` -> exit 0, 1 lines output", "tool_call_id": "call_If2khkhy3ByfVuAS7px4hh9k" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_jQYX21cFpS3oGwIHJ4B7mcNB", "call_id": "call_jQYX21cFpS3oGwIHJ4B7mcNB", "response_item_id": "fc_064af6ee3d6528eb016a099d608c088191a54fbd92a4b7c883", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":280,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_transactions.py\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering migrations and updates**\n\nI need to think about implementing migration v21, especially with the addition of extra columns, line items, rules, and splits. It’s essential to inspect the update for budget transactions to ensure everything flows smoothly. I’ll take my time going through the details to avoid any issues that might arise during the transition. We'll want to make sure everything is considered and accounted for, so I’m focused on that.", "reasoning_content": "**Considering migrations and updates**\n\nI need to think about implementing migration v21, especially with the addition of extra columns, line items, rules, and splits. It’s essential to inspect the update for budget transactions to ensure everything flows smoothly. I’ll take my time going through the details to avoid any issues that might arise during the transition. We'll want to make sure everything is considered and accounted for, so I’m focused on that.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ1g8p9orZbDXhjLGKzPImujz0nQ5o0CVXgda91R1numgKxrKxCTL-VpFrHoazpnLeProFGxiBevUP5T_yoVT4ab-LZFflRSJX5UzGDyTaEfe5RawN4DBLLlNk1Jbfb438MWnf8TF7aj78cuEsANqj14Mf9VcH9mgiN77ZuuJ9a8uXpd96vir30MsUmRm83NVQl5Q13aXxnycwnGS8sCgcei0fF7diO7iG7WyFnJRFZd_jl2nGMDo_E8wuh38ON-dmBzN9UjvFwuzRz8osNZfNldhlXknvU0_ohRTZFrYxc8FZQ1tUPJ92H47iK6XNrW8o_dd1ohytyDqaUloGkQOTJ5yZNldfzOdlZm3qAiORjksyRbQ0UtJcpphH9EUcHgnBZe41spojeKd41ohsRzkmP67v4UetoZNA4wqxeUQMPZUG-JQYK2CYBlEKN8Z64a_llPBwB2z6zUre7z-PixoB4GBwoKmBHo12sC0lZVQla3CO8iKHp3S3xBrtAqwQuVcwGoPyivh_QZRgdUwGWUA6ccy576n3W5FIVEPhiaCwsk0eprr0Kpd9Vo4DdoEENkLh1wTMHFOH5OJf5yTU3tMx8196j70PeUzvzf89UDp6PDO1UsHM06LH4jWbz-GS2qI1EZtds63fzP6oMuoxgrGK32Piibxe5B9zhBRjt3g1YrVQIwbHA0NwcumAnon0XxDeMHxaPRQq81ipW9dXtWMQHjFhSDF4Ce8kzD1E2R1W77CH_bQkANVf0C4qcK88LXDCrQbsp-slujCzTqOAmvdvZMydnD2VquG5UKe_V7qgLWG8HyIebTmV8JD3d1x7kCWMOKIykbIrPPEBxESGMib0uWvqwt9z3Hip2qBSwJH6xKagec9cepfy5Aa0dBvZvPBHeuJSesQSsFKGl7pGhBFA1M4CM91fZF2vwn7MeirdkAURkI-AUP81eeBgzGrH8TbxjfyW_0vC52Vogo5vrLKoL30R20mXLRZgF4NVnqiO9D7-n8gsCCWDKd81_dyQeo_RK2sMlzupHYt43r7imkDYaXwdl8FA_Pv6oIHmUacp1th8IeiinfHuZhfMIuTzp2RgM9", "id": "rs_064af6ee3d6528eb016a099d5e9d8481919691843fb76262a7", "summary": [ { "type": "summary_text", "text": "**Considering migrations and updates**\n\nI need to think about implementing migration v21, especially with the addition of extra columns, line items, rules, and splits. It’s essential to inspect the update for budget transactions to ensure everything flows smoothly. I’ll take my time going through the details to avoid any issues that might arise during the transition. We'll want to make sure everything is considered and accounted for, so I’m focused on that." } ] } ] }, { "role": "tool", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_transactions.py from line 1 (16,991 chars)", "tool_call_id": "call_jQYX21cFpS3oGwIHJ4B7mcNB" }, { "role": "assistant", "content": "Ich prüfe jetzt aggregiert die Runtime-Kandidaten und erstelle ein Backup. Dabei gebe ich nur Counts/Status aus, keine Beträge oder Rohzeilen.", "tool_calls": [ { "id": "call_sRKoha750TtwT5EIymwC9JrB", "call_id": "call_sRKoha750TtwT5EIymwC9JrB", "response_item_id": "fc_064af6ee3d6528eb016a099d6c3c148191a06573b2f19d0d3f", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\nPYTHONPATH=src python - <<'PY'\\nfrom pathlib import Path\\nfrom jarvis_finance.runtime.backup import backup_runtime_db, verify_backup\\nruntime=Path.home()/'jarvis_runtime/finance-system'...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering implementation and inspection**\n\nI need to think about how to implement a broader approach. Maybe I could use some kind of execution tool to inspect the repository. My goal is to find the database files, like CSVs, during runtime to understand more about how everything is working together. There’s definitely a lot to consider here, and I want to ensure I’m on the right path!", "reasoning_content": "**Considering implementation and inspection**\n\nI need to think about how to implement a broader approach. Maybe I could use some kind of execution tool to inspect the repository. My goal is to find the database files, like CSVs, during runtime to understand more about how everything is working together. There’s definitely a lot to consider here, and I want to ensure I’m on the right path!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ1r7epo04nrqXdgR56xlwjn3_I1HAFlq2FBfN1xynm6osfXp35GNoadgqIZlu3MBJo01iYgt-UMq8ZKt5oFoAFtZrDrvswlZFU2IGynkyA-PpecCXGJVBXJUoxcMYPv3hIBU11UXy9QEldlGroBsMUCPj7S_vztiPr2cw5q9ABSTptSEz0FOKJ1A6FrLl2COseFqRL3Xq2MPh1mJMgRfwcBgIBSoLkMBv6lIidl3CRBRdA3tXTeTbFKnAg499aR6CV4RGA8Zr8CPXwa9_syuBu_BBeL_djo3Qchom8WMR5iLPs1aRM0XV9Gjfvt9uLyhJ6l_iDLobyvjd6UwCZWj-E2n2BtaVsqtyNsHC0oCC6TKXdzIldbpfz3yHvhgi9KxOyBxcBOqTSd5oaS7KQaV-iSPJa8v5o5SWHTWa8do3J_tJHYt136kENJ1CwlDelRLH6nxdYT_tUEzYJ1YjN92FOG7ziHVe_q1YRxzD9JDWXtTm6MeerRY08vBTLDV7guXUCYMegrQ2ZyXndFEghLFrpdZVDg5y_tRBiBxYaSjRg1SDvHWHYShXhWp6xIY4_6kNoZrQo-B4V3QVmjsGPILAYOkyfofe3BNz06S4bk-Z301GB3qs-CvetknTGBAXzomMeCOw7f1oWnBP5VUT-m1I0Z_SnaS5mKJq4lFfE8m8pFUZpuXqyUzWMp81JSf_mjFlh4rRq3JXuChraUAr3smEikG9fvlL9hkvsw0tqyZBYQ11wyvZM0Zd-in_rSwQQuUlviWsYBorTalBquNdQb-NxUdw-UZ5iDms10KPMVHZZR_4RxXtqwn2sP5EQdwf2dCvh2ppONEaWq40R_HOEUJW1VIbcMljHro9w3FBtSkOujGxxPxeSGg9U1n4jcgWQlcYIodinRvXIT0KruE42IXcSNtMOwt18j6gt0KT70ViwpocvhbL0KqrFdlcPBaMytRGIW-DGd66PmKDAlJSw1CJi6JLqGQWLzR4as_kDorNkyVd_w2RK0C4xOREAdDjG6bz9FdxkhTsIy5zJ7PGi7ipH4EYO3cX27c1-D1spapZwaHYQ=", "id": "rs_064af6ee3d6528eb016a099d6a11f0819194b8aa08857a946a", "summary": [ { "type": "summary_text", "text": "**Considering implementation and inspection**\n\nI need to think about how to implement a broader approach. Maybe I could use some kind of execution tool to inspect the repository. My goal is to find the database files, like CSVs, during runtime to understand more about how everything is working together. There’s definitely a lot to consider here, and I want to ensure I’m on the right path!" } ] } ], "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Ich prüfe jetzt aggregiert die Runtime-Kandidaten und erstelle ein Backup. Dabei gebe ich nur Counts/Status aus, keine Beträge oder Rohzeilen." } ], "id": "msg_064af6ee3d6528eb016a099d6bf5d48191a3ba584685c71be3", "phase": "commentary" } ] }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\nPYTHONPATH=src python - <<'PY'\nfrom pathlib import Path\nfro...` -> exit 1, 1 lines output", "tool_call_id": "call_sRKoha750TtwT5EIymwC9JrB" }, { "role": "assistant", "content": "Backup-Funktion hat eine andere Signatur als erwartet. Ich lese sie kurz und rufe sie dann korrekt auf.", "tool_calls": [ { "id": "call_Y2RhHPTwK0e5HduUiaifsiE0", "call_id": "call_Y2RhHPTwK0e5HduUiaifsiE0", "response_item_id": "fc_064af6ee3d6528eb016a099d72efa08191902c65c87d2442c9", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/runtime/backup.py\"}" } } ], "finish_reason": "tool_calls", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Backup-Funktion hat eine andere Signatur als erwartet. Ich lese sie kurz und rufe sie dann korrekt auf." } ], "id": "msg_064af6ee3d6528eb016a099d7245fc8191b8aabb51f5c64b2d", "phase": "commentary" } ] }, { "role": "tool", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/runtime/backup.py from line 1 (5,462 chars)", "tool_call_id": "call_Y2RhHPTwK0e5HduUiaifsiE0" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_iinGremhN5qNdTin1gy1R96y", "call_id": "call_iinGremhN5qNdTin1gy1R96y", "response_item_id": "fc_064af6ee3d6528eb016a099d78f3e48191a99926fc914ab140", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\nPYTHONPATH=src python - <<'PY'\\nfrom pathlib import Path\\nfrom datetime import datetime, timezone\\nfrom jarvis_finance.runtime.backup import backup_runtime_db, verify_backup\\nrepo=Path('...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"{'backup_exists': True, 'outside_repo': True, 'checksum_ok': True, 'size_bytes': 5132288}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_iinGremhN5qNdTin1gy1R96y" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_HhUeoYk5wnB7jcrfg1tMbEo7", "call_id": "call_HhUeoYk5wnB7jcrfg1tMbEo7", "response_item_id": "fc_064af6ee3d6528eb016a099d8029dc8191b1699e043640ebee", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"set -euo pipefail\\nPYTHONPATH=src python - <<'PY'\\nimport sqlite3, os, json\\np=os.path.expanduser('~/jarvis_runtime/finance-system/data/finance.sqlite3')\\nconn=sqlite3.connect(p); conn.row_factory=sqlite3...[truncated]\", \"timeout\": 120, \"workdir\": \"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\nPYTHONPATH=src python - <<'PY'\nimport sqlite3, os, json\np=o...` -> exit 0, 1 lines output", "tool_call_id": "call_HhUeoYk5wnB7jcrfg1tMbEo7" }, { "role": "assistant", "content": "Ist-Zustand aggregiert: Backup verifiziert, offene Kandidaten 9813; Migros-like offen 8591; davon artikel-/row-granular mindestens 8328. Keine Beträge ausgegeben. Jetzt schreibe ich Phase‑1.5 Tests zuerst und lasse sie gezielt rot laufen.", "tool_calls": [ { "id": "call_e5Zx7MkX0QI8ztTTFIsKtFPw", "call_id": "call_e5Zx7MkX0QI8ztTTFIsKtFPw", "response_item_id": "fc_064af6ee3d6528eb016a099d8da55481918b5f45039681548c", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Ist-Zustand Schema/Importcode/Runtime-Kandidaten prüfen, ohne Rohbeträge auszugeben\",\"id\":\"inspect\",\"status\":\"completed\"},{\"content\":\"Runtime-DB Backup erstellen und verifizieren\",\"id\":\"backup\",\"status\":\"completed\"},{\"content\":\"Phase-1.5 Backend-/Frontend-Tests für source-aware Import Rules schreiben und RED verifizieren\",\"id\":\"tests-red\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Ist-Zustand aggregiert: Backup verifiziert, offene Kandidaten 9813; Migros-like offen 8591; davon artikel-/row-granular mindestens 8328. Keine Beträge ausgegeben. Jetzt schreibe ich Phase‑1.5 Tests zuerst und lasse sie gezielt rot laufen." } ], "id": "msg_064af6ee3d6528eb016a099d8c413881918815e2878d447773", "phase": "commentary" } ] }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_e5Zx7MkX0QI8ztTTFIsKtFPw" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_NXCjCdFSRLQW7rhUeOvHBbkn", "call_id": "call_NXCjCdFSRLQW7rhUeOvHBbkn", "response_item_id": "fc_064af6ee3d6528eb016a099d926fc48191a91ed84c21282138", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase15_source_aware_imports.py\", \"content\": \"from __future__ import annotations\\n\\nfrom jarvis_finance.services.budget_accounts import confirm_create_budget_account\\nfrom jarvis_finance.services.budget_categories import confirm_create_category\\nfrom...[truncated]\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[write_file] wrote to /home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase15_source_aware_imports.py (126 lines)", "tool_call_id": "call_NXCjCdFSRLQW7rhUeOvHBbkn" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_RR6k8KKE9jT1DitDzadib2Xq", "call_id": "call_RR6k8KKE9jT1DitDzadib2Xq", "response_item_id": "fc_064af6ee3d6528eb016a099dc4ab788191bd54ae8032ae6fb4", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\npytest -q tests/unit/test_budget_phase15_source_aware_imports.py\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\npytest -q tests/unit/test_budget_phase15_source_aware_impor...` -> exit 2, 1 lines output", "tool_call_id": "call_RR6k8KKE9jT1DitDzadib2Xq" }, { "role": "assistant", "content": "RED bestätigt: Phase‑1.5 API existiert noch nicht. Jetzt implementiere ich minimal passend zu Tests: Schema v21, source-aware Importdienste, Review-Aktionen und API-Filter.", "tool_calls": [ { "id": "call_15ZtSXTckT06c5lzOCaMisLD", "call_id": "call_15ZtSXTckT06c5lzOCaMisLD", "response_item_id": "fc_064af6ee3d6528eb016a099dcf917081918dcc6445293dad1e", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":4,\"limit\":50,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"pattern\":\"def apply_migrations|schema_migrations|MIGRATION_VERSION\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ3P6PxZ4MZSvfS1zpwetNcUshxkHQ8IJHpkW7OqAhN0Rtp6Omodsb4t0lM7L6aodBhi7uq7J3y5L-nIK3uT733wyAtSdx648ISGW5uJv1KCOHXPhY7dkASSb23UI4tt4Psw8PSwqJb2WbalvNIYKfkGJ0QYpQshyxkZi53Ew4IZ_B7OSKgLN8gXBFeVyVxINRm9yexbuSR0p88PXEugXiAp8kvEcmHXT8bK3rNG9xn5kGhwU1Xq8bffUeUGnDzM2FVJyDq2DlC330hh-DJWZUpdytAewDwfspStAgo3JXP6a1SKnxQTwLeEWNp1wAfX7DVYkJrvXl6B6f50YyhHwgpLE5znpUh7k-ICVyPCIFh6apO0U7IkKhv9pfceP56p72eIUybub2xe7cavnIs2TksfotwTSZGixfWX6il2Y5UjWrMP6h6SR1CCtO2Jh7BUU0JfyZgUxKrF7s_oQdzijGm1esGpMB82mGjaAU47DzUsnrjA3YQ1qyLKMrXRQirXrV-7OQgmRaOLZTDIk8A667xWU4aeXbsjYNYkqOQUlnlau6dtjzPlNLRX4Q9GpJDtnHg960X3cAYbYDmR0sOtwM1Ql5vS-P7yuAVYE92j8DgTrYQcGkXHoA0W22w4YxQf45hRSv_bvBN6IVfCLnW-Pg74yuMnAsyUBvpqPSdbLY4NDGmuvOLeNBGeNwR_aY0px1A0xRyeGx9DedN4WK0egkDOPAmQNY50lIrXpu90mnx8Y1c5I17YoicVNBrK0XPM9GKLD84g2JN529qt00WYHVW2Bm51o_5eMDGI3LGOtv9NDnly5rnHazbTuXjNDR_QSMUjNwlLfPHPgqnpefuMcAUIDe3ivsgS1AWsVvpX_5Q9uQj1M7a6f_ctjixKZfKjVNfapxMSDrHlfjna4R_vNfLrQ7VjZPGxCkEfCBB5PAdN-bVY0Vu6Q8V7b5J9MhxWl-pPK78b4KLpM2nemtfLq0dUgS-8iNUxch0_bfNv2BiF1VU28HkEhHWwdiZUOPDkAeKygiCa4QFVvJaR9HXY281UZONm5z_Gd-tJ0SMhU_-Fi1HbuRsmhzkrDuycX3DZUTfR", "id": "rs_064af6ee3d6528eb016a099dccdabc8191b2d04399a4a2ffa4", "summary": [] } ], "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "RED bestätigt: Phase‑1.5 API existiert noch nicht. Jetzt implementiere ich minimal passend zu Tests: Schema v21, source-aware Importdienste, Review-Aktionen und API-Filter." } ], "id": "msg_064af6ee3d6528eb016a099dcf356081918eadb7c8a89987a7", "phase": "commentary" } ] }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_15ZtSXTckT06c5lzOCaMisLD" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_bvKxhH3KMBpMgHvg4eNDo4Z8", "call_id": "call_bvKxhH3KMBpMgHvg4eNDo4Z8", "response_item_id": "fc_064af6ee3d6528eb016a099dd44904819186c98bde44628b50", "type": "function", "function": { "name": "read_file", "arguments": "{\"offset\":650,\"limit\":140,\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py from line 650 (6,983 chars)", "tool_call_id": "call_bvKxhH3KMBpMgHvg4eNDo4Z8" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_fxNQPpo34ySQsjVNS1XcvC5T", "call_id": "call_fxNQPpo34ySQsjVNS1XcvC5T", "response_item_id": "fc_064af6ee3d6528eb016a099ddc7c188191b4b9af04fd23121c", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\",\"old_string\":\"MIGRATION_VERSION = 20\\nMIGRATION_NAME = \\\"020_budget_phase14_workview_import_candidates\\\"\",\"new_string\":\"MIGRATION_VERSION = 21\\nMIGRATION_NAME = \\\"021_budget_phase15_source_aware_import_rules\\\"\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering patch migrations**\n\nI’m thinking about patch migrations and whether to check existing statuses, since that might not allow new ones. I need to look into the original SQLite setup. Should I rebuild or just avoid the CHECK constraint? Since the existing table has it, I might need to rebuild for new statuses. Alternatively, I could create a temporary table if that simplifies things. I’ll use sqlite_master to help implement this.", "reasoning_content": "**Considering patch migrations**\n\nI’m thinking about patch migrations and whether to check existing statuses, since that might not allow new ones. I need to look into the original SQLite setup. Should I rebuild or just avoid the CHECK constraint? Since the existing table has it, I might need to rebuild for new statuses. Alternatively, I could create a temporary table if that simplifies things. I’ll use sqlite_master to help implement this.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ3chGY7EA6Ls_2u7586hrqVo5LcB2CPeAJ_d0Pg344u44u6VbWfTYfWBU8EHboWuVg_t47BTjsostEV7xWX4DqL42Wkl9GOPFPloR0k45pdoTWDtfZMmZP46Cs-WpOrKZsU_Roe9DE0ZIIyGGiye2BmVBBXEf3kQihMWUBhJXHAgl-fVv0LRh9swOENNUvqr6xZt98gCnoz8BUBaPbQb_zuRUfxgwk8gaOz_dA_BEx9mP_ZSZTQsLSJn1WUhdo_Uo_L3bFRXxfPCgoXMBUgYjJyxbI7l2mWBH9UaD_g_0QMw-2oUI_0AcSv3g2bvm9BJzYPlPhGAEukzCDyV2RNbEeFIRLIJNhNh1CdgncIOjG-XVI7ZQdzHWSZYbrusrjszyl1ax_qiQNYn94af0c8D7sQ_m0OkVQPqU539Co4Q1p0sDGmYjsnb6NyAgFShANVig_g4cW2GVVKqYVHSBTgF64BtZApsgqTsO1bzAR82_T1kKs3kawTFOkQdFWLUnnAf_h6GlFBAvsAGJzaHs9HFilAc3LenW9t2lNktjNFyx80tBVz5sBF2UKaMk8HBsutydK3hAqCMcNJw3M_Fs-9wQRAeMSFHSCPsV7kaCauS0ZGBLP_LwUVgZWgxYooVIBbwAd0NvO_Q1UzMxIdYpXhB7jvE-WRh1mKTqnVTanHR4oyPFdJPwUwzcqpMp9gNS0XISGzY7BVTptOKdYXc9cVe7azBmSqjp5aQ1jQUm4Pcprt5LkTddEOCd3fAlI3oSaEjqp9LsIktWUUvyByTqnwn59x9hf175p_bqz77wCQ26WasYta-qwFc4bhqoB4K1OyUCJNJ2eoP6uLddC15glPpjzhZ6BKDNNLJOM-HNtoxE1EytL-Aw0cghcjdN7-cjokgeV6CUKcNmcVmpTQhtPSNpFHy2AwkwCps3VQDOXkJfI9rRtujs7nPPVpdiDgvCiqV0y2uLiXEFxTfSbW-O7l_W1MdQM6boxkMPH2dnGv9acMMInmRrbAvbwsS0QnT6Rfi4x9lXllT9SGrBINXOCseP0XY14MMnScCYRU_1voORG9NmRsDkBLrXifkdXDTUjRVS0y5v8c_RMW3QY71TnszRr6plH7eWoUwluOdgJm-K3PmpPQcT512eNG1Sq4F5CFmkunclJm61TUce6C8A9A0GVH5-yOO6wY9HNwgIzHCJCe-PQFCfziYA-L3xkpRHJMbUq0KUlRFrZv1puuj1m_v13FF4wX9H-QQ9lG9OTUBvDVfwuq6wAmTPj1lS0k2tp5gclbBDi_jAU-IBimX__F08YoE7L3beSM2zSYVngwnSAmEj4X59S_rJg_FefZ2Vul_K1gF3ULealHMfi49hOJNq8adg==", "id": "rs_064af6ee3d6528eb016a099dd9bcb8819180fa6248e0d97303", "summary": [ { "type": "summary_text", "text": "**Considering patch migrations**\n\nI’m thinking about patch migrations and whether to check existing statuses, since that might not allow new ones. I need to look into the original SQLite setup. Should I rebuild or just avoid the CHECK constraint? Since the existing table has it, I might need to rebuild for new statuses. Alternatively, I could create a temporary table if that simplifies things. I’ll use sqlite_master to help implement this." } ] } ] }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (881 chars result)", "tool_call_id": "call_fxNQPpo34ySQsjVNS1XcvC5T" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_kGmkUC7FKmpVDpnhEsxJich1", "call_id": "call_kGmkUC7FKmpVDpnhEsxJich1", "response_item_id": "fc_064af6ee3d6528eb016a099de640a88191a900152e50333512", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\", \"old_string\": \"def _apply_compat_migrations(conn: Connection) -> None:\\n _add_missing_instrument_columns(conn)\\n for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n _rebuild_table_with_text_columns...[truncated]\", \"new_string\": \"def _create_budget_phase15_tables(conn: Connection) -> None:\\n # Phase 1.4 created budget_transaction_candidates with a narrow CHECK on status.\\n # Phase 1.5 needs explicit non-booking statuses su...[truncated]\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py (7,256 chars result)", "tool_call_id": "call_kGmkUC7FKmpVDpnhEsxJich1" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_3DheByZ9PxNI4oehu4p7nUEV", "call_id": "call_3DheByZ9PxNI4oehu4p7nUEV", "response_item_id": "fc_064af6ee3d6528eb016a099e0ea79c8191a2a311360bf4a075", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\", \"content\": \"from __future__ import annotations\\n\\nimport csv\\nimport hashlib\\nimport json\\nimport re\\nfrom collections import defaultdict\\nfrom dataclasses import dataclass\\nfrom datetime import datetime, timedelta\\nfrom ...[truncated]\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Modifying budget_imports**\n\nI need to modify the budget_imports extensively, and using the write full file option might make things easier. It’s crucial to preserve existing functions while adding new ones, so I’ll rewrite everything to ensure that all categories and tests are exact. I’ve got to confirm that the preview looks okay and ensure we can detect duplicate amounts without losing the sign for bank negative decimal returns. I wonder if I'll need to add API import functions later on too.", "reasoning_content": "**Modifying budget_imports**\n\nI need to modify the budget_imports extensively, and using the write full file option might make things easier. It’s crucial to preserve existing functions while adding new ones, so I’ll rewrite everything to ensure that all categories and tests are exact. I’ve got to confirm that the preview looks okay and ensure we can detect duplicate amounts without losing the sign for bank negative decimal returns. I wonder if I'll need to add API import functions later on too.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ4OSWONbjLDcP25JkgKdJAuQrxdAP-jxo9jIBCoP3hjUVYCDfGg5kCA1eCkQ_geuxGqDFSDLU9Lm16WNqDbZmcz1jitSevexIfsvTS83Mvmd1K6ZsjkRZksd-N-bCBuvdYvZzzZk8C65sJfXDAVCJnz_oPbOb2dGLvjaZT7U_Gw_R3BpYj3j3Kr6VUSSMh698JIh5cBZXPx2xeBayk2ev8bmLg43-XYD815Jn6G0ljYtvq78T6QA0SpK-3NgQptWF-z7PoTBqBY9JOWZ3dPj9jUQhTYIqeP_IB_gENmDHOX5Vza1cOVgpY-IjVqvZRONTYijQoOJflWRykUt3iZJnVqnNbQXHeIB_DmRX9KNSkqjgAImowdQMSLVUecRuDWlGg-iKr_cRWCdBwhwVUmQGGKX1GU_sb1Q5t2yMDzd41UCLMZoKvv0HqINF2bxU6FG9m-clAz_lWGJOcPscQt3sLhZU-hjUKfzL65or009ML8aSctYOKwNpickI0PPhWRKxg-DgC7g9snO-R0iJ7GiyVxqOHPKZXO1R6xsFwueTsxiuMi13LKqQZzxeXmJ_zoTmrybDiLzMvDWZAxzqt75_WqPFLn2zqqRMbfWf54TIbzbRYBOkZoa3umo2V9DUuVwk0ehWMYSdQwcFwUXNyWUmMDS2YDene2W8NEmoJ-h6MWFRnTlBfxelnuQUox3WEjxPMYpS4sJXiafJIW2rTDmTnmTS6lroKphwR_vRbarY7ehCbkB3Vww7iIzVeqoZIKdo0P0i2800jdTcpkVm8J7v8frRCFX9tF7F9eUY9E7lpLU1n-auS80niTcx380tMmR8b29IRtF2ZgPUMDmee-xaufHCka2hgItl0P_qY4q1Y51YuSSr-JUazysyLYkoADjBHESjbTjxA3ghHChiER0cLuPEjk_XGdmHHLdsXptrVXVug1Lf4MeLCG5IhmdXP3h3KbLp41OkKIriMedGmk1l5vKMJRybuqQyD6VFcBbeVqBFLsocOy1K4lsZ26oQ93ZJTq6Z1cmFM3f65h4ySmzOBeK6tzvnQFHEON5cuTq0xbHtGziRcYCugJR-4jWgrhPAbdvlYQgDM0dW8zLxHgjt-aLjrYG4HxNI-6hPu3yf-MmS3WdUJvMmXJJTL7sgIZpFCvI-wkNwRO9qZA-Anf42vLqHs1WduGBrjSm609R8_UwjDFtuALrnwT6kX_0k1ic2PyglpGi-GEGB2-o5nTCePcHnVbq46EtuWnxiRwVUvqiqTPBlT0s0qTzPSleVfKPoJ8DuqmCF6pG0zyFFiBPgzc2wcJLI0G1fdzvg9bJ7bBsrhIxnZsjMC34N4T6VWrGA0---POfPAwFDeqqiTftWDFbi8LA3Dp17lTvg8FsShQWyLe5C9VlWNyz7aNtjz2Uu-WfDUdMtXDYGXLrJc9BTtYhuJy6edFehAWSYGbNT7rOWJOc3SQm3FcrIJ8Qc94rvnq_6-7bvx-opCW-f1yZjU8uPPecJnNT9Kp54s1q-uoI2tiZrwPBL3Xvnub7vIzkmWntXW1ZNyhEcU_NyZSNwrz60lBmKdjc9VUoiv9jymcA2uFJXeq7dZjKxPtky5ObCBAYmlqhsgaL6Sv6vvzRL833IZN_pIuOpvBtd6uf59w7b6vcZecDtNo6CnEM6TcxeinFiAiDvFKBJZyf0FVpJPXyA==", "id": "rs_064af6ee3d6528eb016a099e0a4c248191a496509018662e81", "summary": [ { "type": "summary_text", "text": "**Modifying budget_imports**\n\nI need to modify the budget_imports extensively, and using the write full file option might make things easier. It’s crucial to preserve existing functions while adding new ones, so I’ll rewrite everything to ensure that all categories and tests are exact. I’ve got to confirm that the preview looks okay and ensure we can detect duplicate amounts without losing the sign for bank negative decimal returns. I wonder if I'll need to add API import functions later on too." } ] } ] }, { "role": "tool", "content": "[write_file] wrote to /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py (592 lines)", "tool_call_id": "call_3DheByZ9PxNI4oehu4p7nUEV" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_PMRYBzf7lj3j1Cn5maPNFz4b", "call_id": "call_PMRYBzf7lj3j1Cn5maPNFz4b", "response_item_id": "fc_064af6ee3d6528eb016a099ec89a648191a89f11ff33a31338", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\npytest -q tests/unit/test_budget_phase15_source_aware_imports.py\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ7IFZgrR_CpECkBArR4IacxfODklMdyPg6H94znPNtZmmrQAhtQdZspVEpXbnVhiznfbHaKol-pLunvMCMpdq_Vbp7MGQGVn3j2exQWFx3Bpiu4oauG1Pcn2fBb0fmiz9JbfyRCAHmvvEKFzDRqGGG-zfCXuoLZif69WDEIoa7qjAp36CGXaDDQ1LZOG-1925s2kxYVGfqjacrHbnOF6ziy3dYzVIDT9y7qTcFWG2DI8DmkdqRJNAmIY6nsvSlOUo7mEdAAAbAMAeb3XwvUxGtRa2soU3w1YMDbTl4HFXXisXURRbHr0CP82EcmVkDgV_fweVtPLtA8Vr8QbO1CHyszK1R-J4hvk2F9JARM6J2LUTvVPnNFa3EIE33jjRuiGZnotevXcT5YI-n85qP2skx8ElBdauGpAGMzOSn7-TcPoOfPSG3kHweyACb0OhUCZX5Ri2qcn1DAQtAEQvWUPSCvWNQA6sDOd3ZLqcWRCPr7-8J11ampSLzpl5cfFzgliBAyQBYzcDS3gFjjfktqjjBy0oi07LsGtVwiNRD_GaUcAR_bjd4jDameFyB_3zsg3DHfF60-WZMbuLoZXSdjHBNMMz27BEIY8lN5bNZUZOkelJQ5AbXldraQNDjg9tArV7ouKflm7aLOlctYPl3r4DKwFWkga_h5Txq3nbFOAmuOubJWNohNCtaOJf2l-1z97BiOTCXzkBpRYDUzsXk4mpxYUlQaP-52WlvODKwHTbSHvRY7D8RjauGg-XRXQiyfABQ9WW2zuuPv8439SFt3cz3e2b-l-ByDUWZzSqgFtnX20-0sEyUsCnxZlON5oh2hTjVZGNj2GrjWT5nGvsR8SHH-kn92b4-N8ea7f_5quYqHvOphifuqmUwTw3RumfNzhUYNXs-JP2DIi9S05DcuapVJMfhSE9xFRTlBt7Z68o3eOS7SwWpEQwGtUA5CVPM9arZ4ZP0BcwzgjWzBtK7eqJnibg==", "id": "rs_064af6ee3d6528eb016a099ec7e9ec8191845c4d7fcef46c01", "summary": [] } ] }, { "role": "tool", "content": "[terminal] ran `set -euo pipefail\npytest -q tests/unit/test_budget_phase15_source_aware_impor...` -> exit 1, 1 lines output", "tool_call_id": "call_PMRYBzf7lj3j1Cn5maPNFz4b" }, { "role": "assistant", "content": "Tests sind jetzt sinnvoll rot/grün gemischt: zwei konkrete Lücken — Subscription-Zählung bei Duplikaten und Confirm-Source-Type-Constraint. Ich korrigiere minimal.", "tool_calls": [ { "id": "call_mgfqgfOUu21tzKbCdGqcE0jl", "call_id": "call_mgfqgfOUu21tzKbCdGqcE0jl", "response_item_id": "fc_064af6ee3d6528eb016a099ed0c3508191aaa37443230c1321", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"old_string\": \" dup = _duplicate_of(conn, tx_date, amount, desc)\\n status = \\\"pending\\\"; needs_review = False; category_id = None; category_name = None; classification = \\\"card_uncategorized\\\"; reason = \\\"ca...[truncated]\", \"new_string\": \" dup = _duplicate_of(conn, tx_date, amount, desc)\\n status = \\\"pending\\\"; needs_review = False; category_id = None; category_name = None; classification = \\\"card_uncategorized\\\"; reason = \\\"ca...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Clarifying subscription counting**\n\nI’m considering how to handle subscription counts, especially if duplicates on Netflix should be included. The user mentioned something about auto subscriptions possibly being duplicates as well. I think I need to increment the count before checking for duplicates. It seems I should confirm the source type and consider importing candidates later to satisfy the necessary checks. It’s important to get this right!", "reasoning_content": "**Clarifying subscription counting**\n\nI’m considering how to handle subscription counts, especially if duplicates on Netflix should be included. The user mentioned something about auto subscriptions possibly being duplicates as well. I think I need to increment the count before checking for duplicates. It seems I should confirm the source type and consider importing candidates later to satisfy the necessary checks. It’s important to get this right!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ7QaVSytPealUONYzc2MGBbEgITtZ3UgdPZtR_F1M92QC36BVD9JQKSsu4yywdNNQLlmqqcnT0gV6ibAmMWynfKY5cXCwcdioS0fsI-Zu6NbFgtm-d5jPrVtDNxBVid-dZf7YQMrY4JEhVxmwz0UdpUgRmubftk6iunD-gtUahmf33YaRok6Fw-FkiRyn8H-2vLdTMjz69HSZrTWIEENPVXkRL5kcfP7pbQ0ghnyLU0ANsfMEVIlQPYzCfdv5XMN2G7Gn_hvGo6uMDQS6-DkS_8-tcJPtyhVI4m3EG3V2YNb1voa3hrrrKXhU22BFsvWKcP_XiRCIDmt8aT4E8slLhN2S4f_MLNuZlFu4DguDKSh3t2COA55xpIDrvHQmDUprBBwzY6U3QEcZDAq6yR2bUG5q8IJRCjsINWL_fr5lpOP9c8yD4ayw4U6AgrniUiPjm3VddR-Svv2Vk8vszyyje_VpPIqdp83a9NSBW2Mzs8iQB9sOhDE5CuUHyCvUvFg6loEpx3VEvH0PGSBGJfYqlYpDRMY3nnscv1T-n4LtszIQQeOfLiuGeGnuAFBQIVAEFiCwsYGvmjgB6lb3RLFwU-28VygUzGK_zcN3gioCZ-TA_4OvH15nC8CrYCPryAH2oBK6a5QHG_lpAoRBXtwSXUUUlRVzLkqqqoAXsnC9ellhsP_Wn8HEukzY2NQCdeyuon4JlhGs8e3ZiQ_fice2QdEYl7McmDuhxJ8ydNUaISGi3P2_EBcEpjGS4B2bqSz41-zWHtTjCQl6vjWyfTSWX_Bx566ik_uzn2VcS9FiCKc9zXRmZBCh2mCrCRHMBlY5YqgJCZ-dM3LZHQ4BLyxuKu9RJn7kNPGX0G7tI02WF7IWcPuadH-C1KIaKshbO8utviKjEY8N19rsAd4WL6Hocc8jTURYxzlo-qGyA0CTW1FYBt9rTH4WnTujXXCrMQEqrqNfRzsDqr4zGMdOfgDmQ83SVzQraT5OhkHriDwxMdoenTr7z9uK6hasWpDY91wArH-b-Y0lO-AMDzKPnXxv7ErWHew0lr1A-I8d11tD-9eCFmRqkvMSffwbzMCOlgC-i2ADZsEI_uDIkYv6KxJzbucTKo_zznAEdq2gBDVqHVpw-HNRa-scuBTMmCaCoRzbRCyNj0-W_sKj_Sox3q7tDexwtInf__QDMbCaAJBml7mI1bJLf7QC8YnrUACMvc_L6L", "id": "rs_064af6ee3d6528eb016a099ece92808191a4b856f7dcba5944", "summary": [ { "type": "summary_text", "text": "**Clarifying subscription counting**\n\nI’m considering how to handle subscription counts, especially if duplicates on Netflix should be included. The user mentioned something about auto subscriptions possibly being duplicates as well. I think I need to increment the count before checking for duplicates. It seems I should confirm the source type and consider importing candidates later to satisfy the necessary checks. It’s important to get this right!" } ] } ], "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Tests sind jetzt sinnvoll rot/grün gemischt: zwei konkrete Lücken — Subscription-Zählung bei Duplikaten und Confirm-Source-Type-Constraint. Ich korrigiere minimal." } ], "id": "msg_064af6ee3d6528eb016a099ed09fd88191b8c90c91a121e6c6", "phase": "commentary" } ] }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py (2,051 chars result)", "tool_call_id": "call_mgfqgfOUu21tzKbCdGqcE0jl" }, { "role": "user", "content": "[Your active task list was preserved across context compression]\n- [>] tests-red. Phase-1.5 Backend-/Frontend-Tests für source-aware Import Rules schreiben und RED verifizieren (in_progress)\n- [ ] implement. Importlogik, Rule MVP-light, Cleanup/Seed, API und Review-UI implementieren (pending)\n- [ ] runtime. Runtime Cleanup Migros-Artikelkandidaten + Neuimport auf Bon-Ebene dry-run/review durchführen (pending)\n- [ ] verify. Compile, pytest, npm test/build, secret scans, Git-Safety, diff-check ausführen (pending)\n- [ ] commit. Commit, Push, Remote-Hash verifizieren, Abschlussbericht mit Counts ohne Beträge liefern (pending)" }, { "role": "assistant", "content": "Ich fahre fort, Sir: zuerst die beiden Phase‑1.5 Testlücken schließen, dann API/Review‑UI und Runtime‑Cleanup/Verifikation.", "tool_calls": [ { "id": "call_cmfwrlerikOLrfOOSsBlNSBJ", "call_id": "call_cmfwrlerikOLrfOOSsBlNSBJ", "response_item_id": "fc_064af6ee3d6528eb016a099f69bffc819198b4bef3be0e352e", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\",\"old_string\":\" \\\"source_type\\\": row[\\\"source_type\\\"] or \\\"import_candidate_later\\\",\\n\",\"new_string\":\" \\\"source_type\\\": \\\"import_candidate_later\\\",\\n\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Continuing tool setup**\n\nI need to continue from the current tool state and check if relevant skills need loading. TDD is already loaded, which is good. Maybe I'll look into the GitHub workflow for commits later. Next, I should fix the source_type and use a patch for that. Afterward, I’ll need to inspect the API and frontend, as I may need to implement router endpoints. I have to be careful, though, because existing import functions could be overwritten, which might break tests.", "reasoning_content": "**Continuing tool setup**\n\nI need to continue from the current tool state and check if relevant skills need loading. TDD is already loaded, which is good. Maybe I'll look into the GitHub workflow for commits later. Next, I should fix the source_type and use a patch for that. Afterward, I’ll need to inspect the API and frontend, as I may need to implement router endpoints. I have to be careful, though, because existing import functions could be overwritten, which might break tests.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ9o5s9Eipwkl0q_DnUr9LsQN-E5C9r8qZXHkUZOD_So4FT-LkXX5wdqH7SJQQlcI4Z3GL5gSbEly5F7bebNMbAxskR66mEoHK50ShCAH4BuDo9qIrfAjuq6SKr-YpOhY__LG6UREwPfBlxKZ3QFBWBZJjJliICTYZBDdVNBUWQIQs8x6oDQNrVZMaB5tR12hAU_poHjlZ3Ju765-8GQj9naq8ducJUbTT5ynNfBDTBgvl_BLOsri5uiUn90HhIlIRjcB-hna9v3kDcD7JUc_E1_v_ZdbPkGDh4p_LBQ-dTRoLwgD8qUCa5bgeXyeJyOBxqysIPC1Zs2vBxMd0pGzfz99lMz5R5tdzoecYvMn8mCNw_x53Ur3SHnKWrVOHMA5-kY1COUGHA70epVu8jP1CiOkLtGMsfOWpKLupLKt2XVGDu8AC6Wxoo1C-DhIh7kgg97QMK1VpLB5fQ2IIso4ws2VmWaXwVPSBRvH9JswtpIsKdofR8cuFqmHWs42ECuOKkoGXd-s1Pmv5phNMO8InCd4u0oian4U6Uj0Jtatat5etXz2aPEzTwUpW14XiXCvA3PaqpMGP8qC1zDAufIj8wc_n4tNzRWnoj6NkXGeR-F95G1RWcbdPUDO8d4rfeIic-etHcbB4QEit0aJG4eTc0_dPFHcyBsjgAhJsN0bHrGgyhddKPd55A2_yk-ca8G7np37eyFmjvofUxezu31OEgMa5jDolOm6COoZfWxpjX0xwz23k919mwX2cutfxzgzCGl816v11iw51IeM2FexLJ9jxFKRwQ5Tu_YPpgIHOLxSSilP8olrq5YAKoJKhxG7Q5PFFCD3_cicp7A08DYevgT4UofXrAoRVX5ssVSoyr2_PlykWa6P-uShGW-eL3OXqnEWVvY0oXNhdJQwbRg-UmyeFPCA9GkWf4gU7LO-WdPRyNgCfKlwoCSe_mmQ5uS2VWwJETUZJhqU5135BP5RN6r_XY5dRKv9InsddoLCd85RLUHsznfr3eWQ3qlebjxNdgvbry-ciN8bqaCzpT5f-4pZhRu8gLY6wuX_FZO_sUaXfjawRpZyqAyBi5I805P0XMKfJ6OVBG2XjUgX7MqA1GnDlZpg3pIyEIS7-wT2mwSVWzH_X27-ja3gvObKnbILY501f6zi0JRlAPqV8kb-3j44dTMg0iSOj7dEvcKxgv_9lcBqoegPMbqGY-Ncbnvkgp8Eu2MDZehBBIbo8ehisVMGK-9oZeRqKQkUECNDjmVGLestsPT1LkzUQxFyKV6Qb-6_Lap4FsNzU9ph9nQArWA9Vv4m2Dyt3QC0jVFdNApOp6ycKrv3i6ih32TQWPJqKWR", "id": "rs_064af6ee3d6528eb016a099f5a99fc8191a6b4b05dcda7faf5", "summary": [ { "type": "summary_text", "text": "**Continuing tool setup**\n\nI need to continue from the current tool state and check if relevant skills need loading. TDD is already loaded, which is good. Maybe I'll look into the GitHub workflow for commits later. Next, I should fix the source_type and use a patch for that. Afterward, I’ll need to inspect the API and frontend, as I may need to implement router endpoints. I have to be careful, though, because existing import functions could be overwritten, which might break tests." } ] } ], "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Ich fahre fort, Sir: zuerst die beiden Phase‑1.5 Testlücken schließen, dann API/Review‑UI und Runtime‑Cleanup/Verifikation." } ], "id": "msg_064af6ee3d6528eb016a099f68f060819197e043749257ef8f", "phase": "commentary" } ] }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py (799 chars result)", "tool_call_id": "call_cmfwrlerikOLrfOOSsBlNSBJ" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_JJc39lBmgiVkREu4aLvuCwrE", "call_id": "call_JJc39lBmgiVkREu4aLvuCwrE", "response_item_id": "fc_064af6ee3d6528eb016a099f6f6b108191855ddf037d4e6dbd", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"set -euo pipefail\\npytest -q tests/unit/test_budget_phase15_source_aware_imports.py\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"output\": \"..... [100%]\\n5 passed in 0.33s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_JJc39lBmgiVkREu4aLvuCwrE" }, { "role": "assistant", "content": "Backend Phase‑1.5 Unit-Tests sind grün. Ich verdrahte nun API/Review‑Filter und prüfe Frontend-Struktur.", "tool_calls": [ { "id": "call_6ORi74o8WFhbTLXgZ1vcKqRu", "call_id": "call_6ORi74o8WFhbTLXgZ1vcKqRu", "response_item_id": "fc_064af6ee3d6528eb016a099f75515881918a449a98d64834c2", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"id\":\"tests-red\",\"content\":\"Phase-1.5 Backend-/Frontend-Tests für source-aware Import Rules schreiben und RED verifizieren\",\"status\":\"completed\"},{\"id\":\"implement\",\"content\":\"Importlogik, Rule MVP-light, Cleanup/Seed, API und Review-UI implementieren\",\"status\":\"in_progress\"}]}" } } ], "finish_reason": "tool_calls", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Backend Phase‑1.5 Unit-Tests sind grün. Ich verdrahte nun API/Review‑Filter und prüfe Frontend-Struktur." } ], "id": "msg_064af6ee3d6528eb016a099f7480308191b6588bded0876524", "phase": "commentary" } ] }, { "role": "tool", "content": "[todo] updated task list", "tool_call_id": "call_6ORi74o8WFhbTLXgZ1vcKqRu" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_VyxdAtLNwRODEQkPzPO5GzMS", "call_id": "call_VyxdAtLNwRODEQkPzPO5GzMS", "response_item_id": "fc_064af6ee3d6528eb016a099f7c83e08191bd1ce623923ba557", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/frontend/src\",\"pattern\":\"*Budget*\",\"target\":\"files\",\"limit\":100}" } }, { "id": "call_NHBnKwfbRlR08A0lhDfwG3wH", "call_id": "call_NHBnKwfbRlR08A0lhDfwG3wH", "response_item_id": "fc_064af6ee3d6528eb016a099f7c83f48191838298c5825be685", "type": "function", "function": { "name": "search_files", "arguments": 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"call_8KyAxhVtj8YGGi9gc23KkccQ" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_pK9NYPMYJku2HpA9y1edlKIh", "call_id": "call_pK9NYPMYJku2HpA9y1edlKIh", "response_item_id": "fc_064af6ee3d6528eb016a099f92007881918e4abcbbe5a4b7bf", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\", \"old_string\": \"from jarvis_finance.services.budget_imports import (\\n confirm_transaction_candidate,\\n ignore_transaction_candidate,\\n list_transaction_candidates,\\n preview_transaction_candidate,\\n seed_t...[truncated]\", \"new_string\": \"from jarvis_finance.services.budget_imports import (\\n batch_confirm_safe_candidates,\\n confirm_transaction_candidate,\\n create_candidate_split,\\n ignore_transaction_candidate,\\n list_transa...[truncated]\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Planning updates for functionality**\n\nI'm thinking about needing to patch imports for the router to include new functions and update endpoints. It sounds like I'd have to split the category for a transfer batch, and it might be a good idea to generate source-specific updates too. I should also consider adding frontend tabs or actions, along with possibly creating some frontend tests. Plus, I need to utilize functions like write_file and patch to implement these changes effectively!", "reasoning_content": "**Planning updates for functionality**\n\nI'm thinking about needing to patch imports for the router to include new functions and update endpoints. It sounds like I'd have to split the category for a transfer batch, and it might be a good idea to generate source-specific updates too. I should also consider adding frontend tabs or actions, along with possibly creating some frontend tests. Plus, I need to utilize functions like write_file and patch to implement these changes effectively!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ-SQXHE_TkxROf_NFZ7URZwnTSuzHF2PqTb_PSymISWY6VmXo3-3COE1Y2dNb1Xs_eGSmoOtHFbeyqryJVOV5mZsIdSwkU5q4L-l7t2_FazdheiEr39V1eeLmLGaa2xNREy0A2dIYnS6hI4xMLoxOoarLD0bqpgWw2m_byeO6QRLPEn-7dLnAQsZRHE0n1F7eMG1FWvpqoZgedGbyJSj0sTMWpZx03gc0jDcU0AdG8AdCtGcCyuwUpqCgxxeJlD1cPP1rBjOo74k8C31eZOyj53K1z3lmy9fYuDWnl74a_GXvy-Wpr0f0H6bfptij51-wEXctdurOY2dJnqRzheRq0M2BNIiOWjzbljxskFJxD5RkvISaOiL4WphEolm34wa-grNoQ6d9D-7LfrLliQZnpj3paeWeTxodiYsIGvLCUJ4t9-w3x6807eJU81yL-EqU3fHk8hU-H8uhv1L8ivO8drU6LY7OA9FdjX4rYaU1FlTrWP6_oIJx3a2PGjm1-VN8tof0QQbU-c-xZVLkWxMXwKQ64LzIHOvMOofyz-rpEwZMoJ9eZO5N4zzCchtnwaDwhkX6i5cv9OTi1wId-6ZxNB-smvlVaWqzM9v5wyhBjjGNfDFaTLA-salGNog6WsyPYGTayPTPSLXTMoZky_HqX0BoKJnjawKcn7n4xYspvp0yKE-2vm9GD3WKv7HUFGPgn6445YjID-EANJKvlNehxkWd-c-wuFcPq7HOj218XuRBEq1JBPFbyzLK_MayKA4z5s0nhOeaw91eEGMFUBuuQQb7mAiUq3niGTUgvEfkszCC5qMI76018yZ_-p-VNHudjMA-C2c_tJCR4ncoexSw9DYD3L8Ju7qv0MwVA8wIVd_DmiG_pIg75YEGQQsjlla2u6932Yt9Acm6JOx-jlQE9c5atU9xEqaiift6eJRBduQRcnkXUCLmn7lxk8vblcM8PQTEX4JULjSVQ1iR564KDdtlhn-quDWTrrdax6XIDbBRihjhwqSrkmJ4zCxjQuOqn4oj7L2pM0NfmfAWrK_qtZRv9CHZbHIIG3gKWEeuXp6RvzK25Ex5TpgTo0xA_5HI-LA4VvTKUOBbK8HRMqG_XRlIDTya0FTh8yQwTtdFRXhDnKGfNDuCsTTcGSxvM_qk3gzOeMW4xmkL5t_VQW-rnQ473DCFUQ-UyIwNwQHdo5QLQ=", "id": "rs_064af6ee3d6528eb016a099f8f8e448191816f891824e1b79e", "summary": [ { "type": "summary_text", "text": "**Planning updates for functionality**\n\nI'm thinking about needing to patch imports for the router to include new functions and update endpoints. It sounds like I'd have to split the category for a transfer batch, and it might be a good idea to generate source-specific updates too. I should also consider adding frontend tabs or actions, along with possibly creating some frontend tests. Plus, I need to utilize functions like write_file and patch to implement these changes effectively!" } ] } ] }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py (1,475 chars result)", "tool_call_id": "call_pK9NYPMYJku2HpA9y1edlKIh" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_qQsMLoDcqkeojs2YV1gL2MPW", "call_id": "call_qQsMLoDcqkeojs2YV1gL2MPW", "response_item_id": "fc_064af6ee3d6528eb016a099f98dc4c819197f7936329c87b39", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"new_string\": \"@router.get(\\\"/transaction-candidates\\\")\\ndef transaction_candidates(status: str | None = None, tab: str | None = None, conn: Connection = Depends(get_db)):\\n return list_transaction_candidates(conn, s...[truncated]\", \"old_string\": \"@router.get(\\\"/transaction-candidates\\\")\\ndef transaction_candidates(status: str | None = None, conn: Connection = Depends(get_db)):\\n return list_transaction_candidates(conn, status=status)\\n\\n\\n@router....[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py (2,753 chars result)", "tool_call_id": "call_qQsMLoDcqkeojs2YV1gL2MPW" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Ic7xiwgCwzuJCDWdu33rSkjI", "call_id": "call_Ic7xiwgCwzuJCDWdu33rSkjI", "response_item_id": "fc_064af6ee3d6528eb016a099fa821508191a049fbf6ac5ca5fe", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"new_string\": \"@router.post(\\\"/transaction-candidates/{candidate_id}/ignore\\\")\\ndef transaction_candidates_ignore(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n return ignore_t...[truncated]\", \"old_string\": \"@router.post(\\\"/transaction-candidates/{candidate_id}/ignore\\\")\\ndef transaction_candidates_ignore(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n return ignore_t...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py (2,721 chars result)", "tool_call_id": "call_Ic7xiwgCwzuJCDWdu33rSkjI" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_SWN142jlUQLP7rWM37vkoQUc", "call_id": "call_SWN142jlUQLP7rWM37vkoQUc", "response_item_id": "fc_064af6ee3d6528eb016a099fbc94748191bf121919b768044a", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"new_string\": \"export type BudgetTransactionCandidate = { transaction_candidate_id: string; source_file_label: string; source_row_or_range?: string | null; source_type: string; transaction_date?: string | null; desc...[truncated]\", \"old_string\": \"export type BudgetTransactionCandidate = { transaction_candidate_id: string; source_file_label: string; source_row_or_range?: string | null; source_type: string; transaction_date?: string | null; desc...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Improving code validation**\n\nI need to fix the signatures to accept `None` or implement some validation. Should I use `HTTPException` for error handling? A simpler approach might be to cast to `str`, but I’m worried that could lead to errors later. Also, what if `batch_confirm_safe` allows `account_id` to be `None` but fails on confirmation? \n\nI should consider adding a check for `category` and possibly importing `HTTPException` if I decide to go that route. There’s a lot to think about!", "reasoning_content": "**Improving code validation**\n\nI need to fix the signatures to accept `None` or implement some validation. Should I use `HTTPException` for error handling? A simpler approach might be to cast to `str`, but I’m worried that could lead to errors later. Also, what if `batch_confirm_safe` allows `account_id` to be `None` but fails on confirmation? \n\nI should consider adding a check for `category` and possibly importing `HTTPException` if I decide to go that route. There’s a lot to think about!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqCZ-8dSjHtlgzCADnWzoE-Fck6itYC_bQRT1R1OPEmKSIZfdXQQr1n71XWQNvHpirsXkxgL3IH3QWzPInreJV_rrRn3laS7YbciBRRa-p1Rtu66kFx9Lxu6gHiqcWCmOMPLcV43ZcY91ANIVmoNPElW3loKGX59j15Q_UwJyu3-OFzmRsTh-OxhejoG_9Lr_mf_aRiYpbsguFF0sHphl_IwEoWgnfAIpLJyhTQnC6d5gKq1OQsId_VdnwvtbxJWpuFPvfTbJjJWcMO0VWEFKYyfRap-4uUCchz0iDXsyXniKz0oaFIapI8VpeyNRMG4OUG_8_mOyGOorTLqg1D3_zAcIUVKJrWHp6nOr7475Kpa2Qs9PCn6aMYwO-ptYABIoe8DayDOnZUMhgaZF8xcVlkNx79mkJuRp5N8xPxhHGINVp5DXTujfZ2xGTNVVGXJUdvvOWD7l3TYPgdirDnG0OQEvhpVSp_W9Q4yjZuUZSDOrd9KrWMUV-O0OW1xCcY6q1GWSNYlAMLr_gdpZbH2q3tNZJJRANgfnOJR3jpAZQuB3G7UmdTXiyRDN7sR_UTTLTCU0gng_VNtKv9k6jdgmba8DtrsWGwnALipm440c6GkHxpOXZ9tzyTK7Gt7jgwTrtTMht6AjcbFK4_1ZsTAFDoCyRSSAq9xI4OYQAJetfN7h4RMmR6rxohV8FU5UpDGaKdowbWFddy1W1nOtlsXQ9yVc_fkH4yA40IHW2nxMnPa7PWVfdVVS0psVPF2FqDJv81nN6GAr_PXBs1VIGWKaky_a7yfgYlrqfS7wPrLuZ1bJ33HIGVQCr7_1SpbsB_jzRurynzoal2VmFYI13TmaAfQwI1hb2oa-2dHvcKPSS4QA9c57YzZObBs_cDNyTBfRsV5QRgL_BUgVuC7ROfMPKFsnthdwjmYONksAKe9nfeddBqaKMYK8JrQctCZaczUafGeTYpFBmce0_9JKSs1IkK6iPzDR19VxR0Uhu_P2OK6coV1xVhs-XT_0JqXzpvPgrI8Z5ZZObH2JmfIOR29uDdcNGoFFeJLd7-FjcFyc6dCuwPnmfX_r1BlRU4ZxwKoGEmc0PbJPQDBLmXOuIriQ0r_pZdjqVLu_xgdL1jTXL1qXb6yN5d9mnpuJ7zaUdnQiLEVcO6F5LbigCHae5eHEhwTTZtCXF120dGezF6_MjR2cm8ogSD0wfMIg8pRoL9SwTHudTV8ZFJTe0uZFC5P5KeaL07gAtm9ZaR9jgF6X2-iUNEI9UXA1vo4_a7hHy5bkAGKsBTwXDfS549sc4JwNdz15K3yZ0c3Q4HsCIOtfwdp2H72h1m5tIs5C8Zd5glZZskrJBR7ca8YFcxNC-Yk4XKusZO4hheo7VPE76zOOpkP3TNV-Xs7uDMewLhkZUGvO0tebJRv_yjNfa9AeDkMomH5rwu0-6U3PQCSHgbiPSgmqfbSmAKQ7kPk1AtbB-y14SlAcbmDDf7UawSegfXxrrcdTcaPk_fQQCWpK7Coj7y8hr4F4UopjsfHzxzc32N49VSn-cJQ8EilH1A7DXENAezW8hQg==", "id": "rs_064af6ee3d6528eb016a099fb6ce548191b55d1e2fab92fb4c", "summary": [ { "type": "summary_text", "text": "**Improving code validation**\n\nI need to fix the signatures to accept `None` or implement some validation. Should I use `HTTPException` for error handling? A simpler approach might be to cast to `str`, but I’m worried that could lead to errors later. Also, what if `batch_confirm_safe` allows `account_id` to be `None` but fails on confirmation? \n\nI should consider adding a check for `category` and possibly importing `HTTPException` if I decide to go that route. There’s a lot to think about!" } ] } ] }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts (3,040 chars result)", "tool_call_id": "call_SWN142jlUQLP7rWM37vkoQUc" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_YKOOiiX7agXbboHjjKgNYZNR", "call_id": "call_YKOOiiX7agXbboHjjKgNYZNR", "response_item_id": "fc_064af6ee3d6528eb016a099fc57e648191848ad4fe9a83f183", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\": \"replace\", \"new_string\": \"export const getBudgetTransactionCandidates = (status = '', tab = '') => {\\n const params = new URLSearchParams()\\n if (status) params.set('status', status)\\n if (tab) params.set('tab', tab)\\n const q...[truncated]\", \"old_string\": \"export const getBudgetTransactionCandidates = (status = '') => apiGet(`/api/budget/transaction-candidates${status ? `?status=${status}` : ''}`)\\nexport const generateBudge...[truncated]\", \"path\": \"/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "[patch] replace in /home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts (3,028 chars result)", "tool_call_id": "call_YKOOiiX7agXbboHjjKgNYZNR" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_tDKOl1b7gMKN3sEAHPUXokKx", "call_id": "call_tDKOl1b7gMKN3sEAHPUXokKx", "response_item_id": "fc_064af6ee3d6528eb016a099fdd261081918e9a1073cd3659c0", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/home/agent/.hermes/repos/FinanceManager/frontend/src/pages/BudgetImportReviewPage.vue\", \"content\": \"