{
  "session_id": "20260517_125831_f66e9d",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "telegram",
  "session_start": "2026-05-17T09:46:07.569505",
  "last_updated": "2026-05-17T13:08:10.208449",
  "system_prompt": "# Hermes Agent Persona\n\n<!--\nThis file defines the agent's personality and tone.\nThe agent will embody whatever you write here.\nEdit this to customize how Hermes communicates with you.\n\nExamples:\n  - \"You are a warm, playful assistant who uses kaomoji occasionally.\"\n  - \"You are a concise technical expert. No fluff, just facts.\"\n  - \"You speak like a friendly coworker who happens to know everything.\"\n\nThis file is loaded fresh each message -- no restart needed.\nDelete the contents (or this file) to use the default personality.\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<tool_persistence>\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</tool_persistence>\n\n<mandatory_tool_use>\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</mandatory_tool_use>\n\n<act_dont_ask>\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</act_dont_ask>\n\n<prerequisite_checks>\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</prerequisite_checks>\n\n<verification>\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</verification>\n\n<missing_context>\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</missing_context>\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<available_skills>\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</available_skills>\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% — 2,196/2,200 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 <command>`\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 path: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv` (outside repo, mode 600); never store/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 12:58 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:<screenshot_path> 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:<name>' for a provider defined in custom_providers config — always include the ':<name>' 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:<account_id>' (DM), 'yuanbao:group:<group_code>' (group chat)"
            },
            "message": {
              "type": "string",
              "description": "The message text to send. To send an image or file, include MEDIA:<local_path> (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=<umbrella>` 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 <name>`. 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.<name>), 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/<timestamp>.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": 157,
  "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",
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              "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!"
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      "role": "tool",
      "content": "[skill_view] name=finance-system-architecture (46,556 chars)",
      "tool_call_id": "call_qqE1X4vodSsTOMG176nuQKS2"
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    {
      "role": "assistant",
      "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 122 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources."
    },
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      "role": "user",
      "content": "[M G] Budget Phase 1.4 ist technisch akzeptiert, aber die Importlogik muss korrigiert werden.\n\nAktuelles Problem:\nDu hast offenbar alle Einzelpositionen aus dem Migros-CSV als einzelne Review-/Zuordnungspositionen aufgelistet. Das ist nicht gewünscht und im Alltag nicht praktikabel.\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\nQuelle für:\n\n* normale Kartenzahlungen\n* Abos\n* Galaxus\n* Onlinekäufe\n* Reisen\n* Restaurant\n* sonstige Kartenzahlungen\n\nNicht Quelle für:\n\n* Migros-Ausgaben, wenn Migros-CSV für denselben Zeitraum vorhanden ist\n\nRegel:\n\n* Kreditkartenbuchungen mit Händler Migros / Migrol / Cumulus / relevante Migros-Merchant-Texte werden ignoriert oder als covered_by_migros markiert.\n* Sie dürfen nicht zusätzlich als Ausgabe gebucht werden.\n* Migros-CSV ist für Migros-Ausgaben die primäre Quelle.\n\n### Migros-CSV\n\nQuelle für:\n\n* Migros/Cumulus-Ausgaben\n* Einkaufstransaktionen\n* optional Artikel-/Warengruppenanalyse\n\nRegel:\n\n* Artikelzeilen zu einem Bon aggregieren.\n* Gruppierung nach:\n\n  * Datum\n  * Zeit\n  * Filiale\n  * Kassennummer\n  * Transaktionsnummer\n* Hauptbuchung = Summe des Bons.\n* Artikelzeilen werden als Detail-/Line-Items gespeichert, aber nicht als einzelne Budgettransaktionen.\n\n### Banküberweisungen AKB/Raiffeisen\n\nQuelle für:\n\n* Einkommen\n* Löhne\n* Überweisungen\n* Fixkosten\n* Versicherungen\n* Miete\n* Rückerstattungen\n* Steuern\n* manuelle Bankzahlungen\n\nRegel:\n\n* Einnahmen aus Lohn/Arbeitgeber erkennen.\n* Bankinterne oder eigene Kontoüberträge zwischen Raiffeisen und AKB nicht als Einkommen/Ausgabe zählen.\n* Interne Transfers als transfer markieren.\n\n### Manuelle Buchungen\n\nQuelle für:\n\n* fehlende Ausgaben/Einnahmen\n* Korrekturen\n* Sonderfälle\n* Barzahlungen\n* nicht importierte Buchungen\n\n## 3. Kreditkarten-Regeln implementieren\n\nFür Kreditkarten-CSV:\n\n### Auto-Kategorisierung\n\nAutomatisch zuordnen:\n\n* Apple → Abos\n* Google → Abos\n* Amazon Prime → Abos\n* Netflix → Abos\n* Disney → Abos\n\nBitte auch Varianten erkennen:\n\n* APPLE.COM\n* GOOGLE\n* AMAZON PRIME\n* NETFLIX\n* DISNEY\n* DISNEYPLUS\n\n### Galaxus\n\nRegel:\n\n* Galaxus-Buchungen nicht automatisch final kategorisieren.\n* In Review-Liste anzeigen.\n* Nutzer wählt Kategorie.\n* Nutzer kann Buchung splitten.\n\nBeispiele:\n\n* Elektronik\n* Haushalt\n* Kinder\n* Geschenke\n* Sonstiges\n\n### Migros auf Kreditkarte\n\nRegel:\n\n* Migros-Kreditkartenbuchungen ignorieren oder als covered_by_migros markieren.\n* Nicht als Ausgabe buchen, wenn Migros-CSV für Zeitraum\nv\norhanden ist.\n* In Admin/Review nur als abgeglichen/ignoriert sichtbar.\n\n## 4. Migros-CSV-Regeln implementieren\n\nBitte Migros-Cumulus-Import neu strukturieren.\n\n### Bon Aggregation\n\nArtikelzeilen zu Bon-/Transaktionskopf gruppieren nach:\n\n* Datum\n* Zeit\n* Filiale\n* Kassennummer\n* Transaktionsnummer\n\n### Buchungslogik\n\nFür jeden Bon:\n\n* Betrag = Summe Artikelzeilen\n* Händler = Migros / konkrete Filiale\n* Kategorie-Vorschlag abhängig vom Betrag und Inhalt\n\n### Automatische Regel\n\n* Bons unter 50 CHF automatisch Kategorie:\n\n  * Essen & Haushalt\n* Bons ab 50 CHF:\n\n  * in Review-Liste anzeigen\n  * Nutzer wählt Kategorie oder splittet\n  * Beispiele:\n\n    * Essen & Haushalt\n    * Geschenke\n    * Kleider\n    * Kinder\n    * Haushalt\n    * Sonstiges\n\nWichtig:\n\n* Die 50-CHF-Schwelle muss konfigurierbar sein.\n* Für den ersten Import darf eine Batch-Bestätigung nötig sein:\n\n  * „Alle Migros-Bons unter 50 CHF als Essen & Haushalt bestätigen“\n* Danach darf Regel als künftig automatisch markiert werden.\n\n### Artikelzeilen\n\nArtikelzeilen sollen gespeichert werden als Detaildaten:\n\n* Artikel\n* Menge\n* Aktion\n* Umsatz\n* Bon-ID\n\nAber:\n\n* nicht einzeln in normaler Review-Liste\n* nur sichtbar im Detail Drawer eines Migros-Bons\n\n## 5. Banküberweisungen AKB/Raiffeisen importieren\n\nBitte Importprofile für Bank-CSV vorbereiten/anwenden:\n\n* AKB CSV, Melanie\n* Raiffeisen CSV, Marcel\n\nAufgaben:\n\n### Ausgaben erkennen\n\n* negative Belastungen / Abbuchungen\n* Gebühren\n* Versicherungen\n* Steuern\n* Miete/Wohnen\n* Telekommunikation\n* sonstige Zahlungen\n\n### Einnahmen erkennen\n\n* Lohn Marcel\n* Lohn Melanie\n* Gratifikationen\n* Rückerstattungen\n* sonstige Einnahmen\n\n### Interne Transfers erkennen\n\nSehr wichtig:\nKontoüberträge zwischen Raiffeisen und AKB dürfen nicht doppelt als Einkommen oder Ausgabe verbucht werden.\n\nBitte interne Transfers erkennen über:\n\n* gleicher oder sehr ähnlicher Betrag\n* Datum ± 2–3 Tage\n* Gegenkonto/Name/Beschreibung enthält eigenes Konto, Marcel, Melanie, Raiffeisen, AKB\n* ein Konto Belastung, anderes Konto Gutschrift\n* bekannte Konto-/Account-Paare\n\nErgebnis:\n\n* als transfer markieren\n* nicht in Einnahmen/Ausgaben zählen\n* beide Seiten verknüpfen, falls möglich\n* bei Unsicherheit Review nötig\n\n## 6. Review-Ansicht verbessern\n\nBitte Review-Liste nicht als Rohdatenfriedhof bauen.\n\nTabs oder Filter:\n\n* Alle\n* Auto-zugeordnet\n* Review nötig\n* Mögliche Duplikate\n* Interne Transfers\n* Galaxus\n* Migros über 50 CHF\n* Banküberweisungen\n* Einnahmen\n* Ignoriert / covered_by_source\n\nPro Kandidat anzeigen:\n\n* Quelle\n* Datum\n* Händler/Beschreibung\n* Betrag lokal im Dashboard sichtbar, aber nicht im Chat\n* Kategorie-Vorschlag\n* Confidence\n* Grund der Zuordnung\n* Aktionen:\n\n  * bestätigen\n  * Kategorie ändern\n  * splitten\n  * ignorieren\n  * als Transfer markieren\n  * Regel erstellen\n\n## 7. Umkategorisierung jederzeit möglich\n\nEffektive Buchungen müssen später jederzeit umgeordnet werden können.\n\nBitte implementieren/prüfen:\n\n* Kategorie ändern\n* Tags ändern\n* Split hinzufügen/ändern\n* Betrag korrigieren nur über Adjustment/Reversal, nicht still überschreiben\n* Audit-Log\n* Budgetstatus aktualisiert sich danach\n\n## 8. Minimal Rule Engine MVP-light\n\nBitte noch keine grosse Rule Engine bauen, aber ein MVP-light Regelset:\n\n### Regeltypen\n\n* contains merchant\n* exact merchant\n* source type\n* amount threshold\n* account source\n* regex optional, falls leicht\n\n### Erste Regeln\n\n* Apple/Google/Amazon Prime/Netflix/Disney → Abos\n* Migros Bon < 50 CHF → Essen & Haushalt\n* Migros Bon >= 50 CHF → Review nötig\n* Galaxus → Review nötig\n* Kreditkarten-Migros → covered_by_migros\n* interne Banktransfers → transfer_candidate\n* Lohn/Salary/Arbeitgeber bekannte Muster → income_candidate\n\nRegeln müssen sichtbar und später editierbar sein, aber vollständiger Regelmanager kann später kommen.\n\n## 9. Produktiver Erstimport nur nach Review\n\nBitte jetzt die Dateien einlesen und zuordnen, aber produktive Buchungen nur nach sinnvoller Review/Confirm-Logik.\n\nFür automatische, sichere Fälle darf eine Batch-Confirm-Option entstehen:\n\n* Abos automatisch bestätigen\n* Migros <50 CHF\nautomatisch bestätigen\n* klare Einkommen bestätigen\n* klare interne Transfers bestätigen\n\nAber:\n\n* zuerst Preview mit Counts\n* Nutzerbestätigung\n* Audit\n* keine stillen Imports\n\n## 10. Reporting / Abschlussbericht\n\nBitte nach Umsetzung berichten, ohne echte Beträge:\n\n* Kreditkarten-Kandidaten total\n* Kreditkarten-Migros ignoriert/covered_by_migros\n* Abos automatisch zugeordnet\n* Galaxus Review-Kandidaten\n* Migros-Bons total\n* Migros-Bons <50 CHF auto-zugeordnet\n* Migros-Bons >=50 CHF Review\n* Migros-Artikelzeilen intern gespeichert, aber nicht als Hauptkandidaten\n* AKB-Kandidaten total\n* Raiffeisen-Kandidaten total\n* Einnahmen-Kandidaten\n* interne Transfer-Kandidaten\n* mögliche Duplikate\n* produktiv bestätigt: ja/nein und Anzahl\n* reviewpflichtig verbleibend\n* keine echten Beträge im Bericht\n\n## 11. Tests\n\nBitte Tests ergänzen für:\n\n### Migros\n\n* Artikelzeilen werden zu Bon aggregiert\n* Unter-50-CHF-Regel erzeugt Auto-Kategorie\n* Über-50-CHF-Regel erzeugt Review\n* Artikelzeilen erscheinen nicht als Hauptreviewkandidaten\n* Kreditkarten-Migros wird covered_by_migros\n\n### Kreditkarte\n\n* Apple/Google/Amazon/Netflix/Disney → Abos\n* Galaxus → Review\n* Migros → covered_by_migros\n* Duplikat mit bestehender Buchung wird erkannt\n\n### Bank\n\n* Lohn wird als Einkommen erkannt\n* interne Transfers zwischen AKB/Raiffeisen werden nicht als Einkommen gezählt\n* interne Transfers werden als transfer_candidate markiert\n* unklare Bankzahlung geht in Review\n\n### Review\n\n* Kategorie ändern\n* Split erstellen\n* ignorieren\n* als Transfer markieren\n* Batch Confirm für sichere Auto-Kandidaten\n\n### Safety\n\n* keine echten CSV ins Git\n* keine echten Beträge im Testoutput\n* Git-Safety sauber\n\n## 12. Nicht in diesem Sprint\n\nNicht bauen:\n\n* OCR/Kamera/Vision\n* vollständiger Regelmanager\n* komplexe Duplikat-UI\n* Sankey/Sunburst\n* Forecast-Modelle\n* Mobile App\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"
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      "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.",
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      "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.",
      "finish_reason": "tool_calls",
      "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.",
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      "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.",
      "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!",
      "finish_reason": "tool_calls",
      "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!",
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              "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!"
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          "content": [
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              "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."
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          "id": "msg_064af6ee3d6528eb016a099d6bf5d48191a3ba584685c71be3",
          "phase": "commentary"
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            "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\"}"
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    {
      "role": "tool",
      "name": "terminal",
      "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"
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    {
      "role": "assistant",
      "content": "Backup-Funktion hat eine andere Signatur als erwartet. Ich lese sie kurz und rufe sie dann korrekt auf.",
      "reasoning": null,
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      "codex_message_items": [
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          "content": [
            {
              "type": "output_text",
              "text": "Backup-Funktion hat eine andere Signatur als erwartet. Ich lese sie kurz und rufe sie dann korrekt auf."
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      "content": "[read_file] read /home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/runtime/backup.py from line 1 (5,462 chars)",
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            "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('/home/agent/.hermes/repos/FinanceManager')\\nruntime=Path.home()/'jarvis_runtime/finance-system'\\nstamp=datetime.now(timezone.utc).strftime('%Y%m%dT%H%M%SZ')+'-budget-phase15-pre'\\nres=backup_runtime_db(db_path=runtime/'data/finance.sqlite3', backups_dir=runtime/'backups', repo_root=repo, timestamp=stamp)\\nver=verify_backup(backup_file=res.backup_file, repo_root=repo)\\nprint({'backup_exists': ver.exists, 'outside_repo': True, 'checksum_ok': ver.checksum_ok, 'size_bytes': res.size_bytes})\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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    },
    {
      "role": "tool",
      "name": "terminal",
      "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": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "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.Row\\ncols={r['name'] for r in conn.execute('PRAGMA table_info(budget_transaction_candidates)')}\\nprint('candidate_columns', sorted(cols))\\nqueries={\\n 'total_open': \\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status IN ('pending','needs_review','duplicate')\\\",\\n 'by_source_type': \\\"SELECT source_type k, COUNT(*) c FROM budget_transaction_candidates GROUP BY source_type ORDER BY c DESC\\\",\\n 'migros_like_open': \\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status IN ('pending','needs_review','duplicate') AND (lower(COALESCE(source_file_label,'')) LIKE '%migros%' OR lower(COALESCE(source_file_label,'')) LIKE '%cumulus%' OR lower(COALESCE(description,'')) LIKE '%migros%' OR lower(COALESCE(notes,'')) LIKE '%migros%')\\\",\\n 'article_like_open': \\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status IN ('pending','needs_review','duplicate') AND (lower(COALESCE(source_row_or_range,'')) GLOB 'r[0-9]*' OR lower(COALESCE(description,'')) NOT LIKE '%bon%') AND (lower(COALESCE(source_file_label,'')) LIKE '%migros%' OR lower(COALESCE(source_file_label,'')) LIKE '%cumulus%')\\\",\\n 'statuses': \\\"SELECT status k, COUNT(*) c FROM budget_transaction_candidates GROUP BY status ORDER BY c DESC\\\"\\n}\\nfor name,q in queries.items():\\n    rows=[dict(r) for r in conn.execute(q)]\\n    print(name, json.dumps(rows, ensure_ascii=False))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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    {
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      "content": "{\"output\": \"candidate_columns ['amount_original', 'confidence', 'created_at', 'currency_original', 'description', 'duplicate_of_transaction_id', 'merchant', 'notes', 'proposed_category_id', 'proposed_category_name', 'requires_review', 'source_file_label', 'source_row_or_range', 'source_type', 'status', 'transaction_candidate_id', 'transaction_date', 'updated_at']\\ntotal_open [{\\\"c\\\": 9813}]\\nby_source_type [{\\\"k\\\": \\\"csv_seed\\\", \\\"c\\\": 9638}, {\\\"k\\\": \\\"excel_budget_tool\\\", \\\"c\\\": 175}]\\nmigros_like_open [{\\\"c\\\": 8591}]\\narticle_like_open [{\\\"c\\\": 8328}]\\nstatuses [{\\\"k\\\": \\\"pending\\\", \\\"c\\\": 8795}, {\\\"k\\\": \\\"needs_review\\\", \\\"c\\\": 1018}]\", \"exit_code\": 0, \"error\": null}",
      "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.",
      "reasoning": null,
      "finish_reason": "tool_calls",
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              "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."
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          "phase": "commentary"
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            "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\"}]}"
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    },
    {
      "role": "tool",
      "name": "todo",
      "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Ist-Zustand Schema/Importcode/Runtime-Kandidaten prüfen, ohne Rohbeträge auszugeben\", \"status\": \"completed\"}, {\"id\": \"backup\", \"content\": \"Runtime-DB Backup erstellen und verifizieren\", \"status\": \"completed\"}, {\"id\": \"tests-red\", \"content\": \"Phase-1.5 Backend-/Frontend-Tests für source-aware Import Rules schreiben und RED verifizieren\", \"status\": \"in_progress\"}, {\"id\": \"implement\", \"content\": \"Importlogik, Rule MVP-light, Cleanup/Seed, API und Review-UI implementieren\", \"status\": \"pending\"}, {\"id\": \"runtime\", \"content\": \"Runtime Cleanup Migros-Artikelkandidaten + Neuimport auf Bon-Ebene dry-run/review durchführen\", \"status\": \"pending\"}, {\"id\": \"verify\", \"content\": \"Compile, pytest, npm test/build, secret scans, Git-Safety, diff-check ausführen\", \"status\": \"pending\"}, {\"id\": \"commit\", \"content\": \"Commit, Push, Remote-Hash verifizieren, Abschlussbericht mit Counts ohne Beträge liefern\", \"status\": \"pending\"}], \"summary\": {\"total\": 7, \"pending\": 4, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}",
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            "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 jarvis_finance.services.budget_imports import (\\n    batch_confirm_safe_candidates,\\n    cleanup_migros_article_candidates,\\n    create_candidate_split,\\n    list_transaction_candidates,\\n    mark_candidate_transfer,\\n    seed_bank_transfer_candidates_from_rows,\\n    seed_credit_card_candidates_from_rows,\\n    seed_migros_candidates_from_rows,\\n    update_transaction_candidate_category,\\n)\\nfrom jarvis_finance.storage.database import connect_memory\\nfrom jarvis_finance.storage.migrations import apply_migrations\\n\\n\\ndef db():\\n    conn = connect_memory()\\n    apply_migrations(conn)\\n    return conn\\n\\n\\ndef add_categories(conn):\\n    return {\\n        \\\"abos\\\": confirm_create_category(conn, {\\\"name\\\": \\\"Abos\\\", \\\"category_type\\\": \\\"expense\\\"})[\\\"entity_id\\\"],\\n        \\\"food\\\": confirm_create_category(conn, {\\\"name\\\": \\\"Essen & Haushalt\\\", \\\"category_type\\\": \\\"expense\\\"})[\\\"entity_id\\\"],\\n        \\\"income\\\": confirm_create_category(conn, {\\\"name\\\": \\\"Lohn\\\", \\\"category_type\\\": \\\"income\\\"})[\\\"entity_id\\\"],\\n        \\\"other\\\": confirm_create_category(conn, {\\\"name\\\": \\\"Sonstiges\\\", \\\"category_type\\\": \\\"expense\\\"})[\\\"entity_id\\\"],\\n    }\\n\\n\\ndef test_migros_article_rows_are_aggregated_to_receipts_with_line_items_and_threshold_rules() -> None:\\n    conn = db(); cats = add_categories(conn)\\n    rows = [\\n        {\\\"Datum\\\": \\\"01.05.2026\\\", \\\"Zeit\\\": \\\"10:00\\\", \\\"Filiale\\\": \\\"M Test\\\", \\\"Kasse\\\": \\\"1\\\", \\\"Transaktion\\\": \\\"A\\\", \\\"Artikel\\\": \\\"Brot\\\", \\\"Umsatz\\\": \\\"12.00\\\"},\\n        {\\\"Datum\\\": \\\"01.05.2026\\\", \\\"Zeit\\\": \\\"10:00\\\", \\\"Filiale\\\": \\\"M Test\\\", \\\"Kasse\\\": \\\"1\\\", \\\"Transaktion\\\": \\\"A\\\", \\\"Artikel\\\": \\\"Milch\\\", \\\"Umsatz\\\": \\\"9.00\\\"},\\n        {\\\"Datum\\\": \\\"02.05.2026\\\", \\\"Zeit\\\": \\\"11:00\\\", \\\"Filiale\\\": \\\"M Test\\\", \\\"Kasse\\\": \\\"2\\\", \\\"Transaktion\\\": \\\"B\\\", \\\"Artikel\\\": \\\"Haushalt\\\", \\\"Umsatz\\\": \\\"40.00\\\"},\\n        {\\\"Datum\\\": \\\"02.05.2026\\\", \\\"Zeit\\\": \\\"11:00\\\", \\\"Filiale\\\": \\\"M Test\\\", \\\"Kasse\\\": \\\"2\\\", \\\"Transaktion\\\": \\\"B\\\", \\\"Artikel\\\": \\\"Geschenk\\\", \\\"Umsatz\\\": \\\"20.00\\\"},\\n    ]\\n    stats = seed_migros_candidates_from_rows(conn, rows, source_file_label=\\\"migros.csv\\\", auto_category_id=cats[\\\"food\\\"], threshold_chf=\\\"50.00\\\")\\n    assert stats[\\\"receipt_candidate_count\\\"] == 2\\n    assert stats[\\\"line_item_count\\\"] == 4\\n    assert stats[\\\"auto_assigned_count\\\"] == 1\\n    assert stats[\\\"review_required_count\\\"] == 1\\n    candidates = list_transaction_candidates(conn)\\n    assert len(candidates) == 2\\n    assert all(c[\\\"source_type\\\"] == \\\"migros_receipt\\\" for c in candidates)\\n    assert all(\\\"Brot\\\" not in c[\\\"description\\\"] and \\\"Milch\\\" not in c[\\\"description\\\"] for c in candidates)\\n    small = next(c for c in candidates if c[\\\"requires_review\\\"] is False)\\n    large = next(c for c in candidates if c[\\\"requires_review\\\"] is True)\\n    assert small[\\\"proposed_category_id\\\"] == cats[\\\"food\\\"]\\n    assert large[\\\"review_reason\\\"] == \\\"migros_receipt_over_threshold\\\"\\n    assert conn.execute(\\\"SELECT COUNT(*) FROM budget_import_line_items\\\").fetchone()[0] == 4\\n\\n\\ndef test_credit_card_rules_subscriptions_galaxus_migros_covered_and_duplicate_detection() -> None:\\n    conn = db(); cats = add_categories(conn)\\n    account = confirm_create_budget_account(conn, {\\\"name\\\": \\\"Karte\\\", \\\"account_type\\\": \\\"credit_card\\\", \\\"currency\\\": \\\"CHF\\\"})[\\\"entity_id\\\"]\\n    from jarvis_finance.services.budget_transactions import confirm_budget_transaction\\n    confirm_budget_transaction(conn, {\\\"account_id\\\": account, \\\"transaction_type\\\": \\\"expense\\\", \\\"transaction_date\\\": \\\"2026-05-04\\\", \\\"description\\\": \\\"NETFLIX\\\", \\\"amount_original\\\": \\\"19.90\\\", \\\"currency_original\\\": \\\"CHF\\\", \\\"category_id\\\": cats[\\\"abos\\\"]})\\n    rows = [\\n        {\\\"Datum\\\": \\\"01.05.2026\\\", \\\"Beschreibung\\\": \\\"APPLE.COM/BILL\\\", \\\"Betrag\\\": \\\"9.90\\\"},\\n        {\\\"Datum\\\": \\\"02.05.2026\\\", \\\"Beschreibung\\\": \\\"Galaxus Zürich\\\", \\\"Betrag\\\": \\\"120.00\\\"},\\n        {\\\"Datum\\\": \\\"03.05.2026\\\", \\\"Beschreibung\\\": \\\"MIGROS MMM\\\", \\\"Betrag\\\": \\\"42.00\\\"},\\n        {\\\"Datum\\\": \\\"04.05.2026\\\", \\\"Beschreibung\\\": \\\"NETFLIX\\\", \\\"Betrag\\\": \\\"19.90\\\"},\\n    ]\\n    stats = seed_credit_card_candidates_from_rows(conn, rows, source_file_label=\\\"card.csv\\\", subscription_category_id=cats[\\\"abos\\\"], migros_covered=True)\\n    assert stats[\\\"candidate_count\\\"] == 4\\n    assert stats[\\\"subscription_auto_count\\\"] == 2\\n    assert stats[\\\"galaxus_review_count\\\"] == 1\\n    assert stats[\\\"covered_by_migros_count\\\"] == 1\\n    assert stats[\\\"possible_duplicate_count\\\"] == 1\\n    by_desc = {c[\\\"description\\\"]: c for c in list_transaction_candidates(conn)}\\n    assert by_desc[\\\"APPLE.COM/BILL\\\"][\\\"proposed_category_id\\\"] == cats[\\\"abos\\\"]\\n    assert by_desc[\\\"Galaxus Zürich\\\"][\\\"status\\\"] == \\\"needs_review\\\"\\n    assert by_desc[\\\"MIGROS MMM\\\"][\\\"status\\\"] == \\\"covered_by_migros\\\"\\n    assert by_desc[\\\"NETFLIX\\\"][\\\"status\\\"] == \\\"duplicate\\\"\\n\\n\\ndef test_bank_income_internal_transfer_and_unclear_payment_classification() -> None:\\n    conn = db(); cats = add_categories(conn)\\n    rows = [\\n        {\\\"Datum\\\": \\\"01.05.2026\\\", \\\"Beschreibung\\\": \\\"Lohn Arbeitgeber\\\", \\\"Betrag\\\": \\\"5000.00\\\", \\\"Konto\\\": \\\"AKB Melanie\\\"},\\n        {\\\"Datum\\\": \\\"02.05.2026\\\", \\\"Beschreibung\\\": \\\"Übertrag an Raiffeisen Marcel\\\", \\\"Betrag\\\": \\\"-1000.00\\\", \\\"Konto\\\": \\\"AKB Melanie\\\"},\\n        {\\\"Datum\\\": \\\"03.05.2026\\\", \\\"Beschreibung\\\": \\\"Gutschrift von AKB Melanie\\\", \\\"Betrag\\\": \\\"1000.00\\\", \\\"Konto\\\": \\\"Raiffeisen Marcel\\\"},\\n        {\\\"Datum\\\": \\\"04.05.2026\\\", \\\"Beschreibung\\\": \\\"Unklare Zahlung\\\", \\\"Betrag\\\": \\\"-77.00\\\", \\\"Konto\\\": \\\"AKB Melanie\\\"},\\n    ]\\n    stats = seed_bank_transfer_candidates_from_rows(conn, rows, source_file_label=\\\"bank.csv\\\", income_category_id=cats[\\\"income\\\"])\\n    assert stats[\\\"candidate_count\\\"] == 4\\n    assert stats[\\\"income_candidate_count\\\"] == 1\\n    assert stats[\\\"transfer_candidate_count\\\"] == 2\\n    assert stats[\\\"review_required_count\\\"] == 1\\n    candidates = list_transaction_candidates(conn)\\n    assert len([c for c in candidates if c[\\\"classification\\\"] == \\\"income_candidate\\\"]) == 1\\n    assert len([c for c in candidates if c[\\\"classification\\\"] == \\\"transfer_candidate\\\"]) == 2\\n    assert next(c for c in candidates if c[\\\"description\\\"] == \\\"Unklare Zahlung\\\")[\\\"status\\\"] == \\\"needs_review\\\"\\n\\n\\ndef test_review_actions_category_split_ignore_transfer_and_batch_confirm_safe_candidates() -> None:\\n    conn = db(); cats = add_categories(conn)\\n    account = confirm_create_budget_account(conn, {\\\"name\\\": \\\"Budget\\\", \\\"account_type\\\": \\\"cash\\\", \\\"currency\\\": \\\"CHF\\\"})[\\\"entity_id\\\"]\\n    seed_credit_card_candidates_from_rows(conn, [{\\\"Datum\\\": \\\"01.05.2026\\\", \\\"Beschreibung\\\": \\\"APPLE\\\", \\\"Betrag\\\": \\\"9.90\\\"}], source_file_label=\\\"card.csv\\\", subscription_category_id=cats[\\\"abos\\\"])\\n    seed_migros_candidates_from_rows(conn, [{\\\"Datum\\\": \\\"02.05.2026\\\", \\\"Zeit\\\": \\\"10:00\\\", \\\"Filiale\\\": \\\"M\\\", \\\"Kasse\\\": \\\"1\\\", \\\"Transaktion\\\": \\\"A\\\", \\\"Artikel\\\": \\\"X\\\", \\\"Umsatz\\\": \\\"12.00\\\"}], source_file_label=\\\"migros.csv\\\", auto_category_id=cats[\\\"food\\\"])\\n    cid = list_transaction_candidates(conn)[0][\\\"transaction_candidate_id\\\"]\\n    assert update_transaction_candidate_category(conn, cid, cats[\\\"other\\\"], note=\\\"review\\\") [\\\"status\\\"] == \\\"updated\\\"\\n    assert create_candidate_split(conn, cid, [{\\\"category_id\\\": cats[\\\"food\\\"], \\\"amount_original\\\": \\\"5.00\\\"}, {\\\"category_id\\\": cats[\\\"other\\\"], \\\"amount_original\\\": \\\"4.90\\\"}])[\\\"split_count\\\"] == 2\\n    assert mark_candidate_transfer(conn, cid, note=\\\"own transfer\\\")[\\\"status\\\"] == \\\"transfer_candidate\\\"\\n    safe = batch_confirm_safe_candidates(conn, account_id=account, candidate_ids=[c[\\\"transaction_candidate_id\\\"] for c in list_transaction_candidates(conn) if c[\\\"classification\\\"] in {\\\"subscription_auto\\\", \\\"migros_auto_under_threshold\\\"}])\\n    assert safe[\\\"confirmed_count\\\"] >= 1\\n    assert conn.execute(\\\"SELECT COUNT(*) FROM audit_log WHERE entity_type IN ('budget_transaction_candidate','budget_transaction_candidate_split')\\\").fetchone()[0] >= 3\\n\\n\\ndef test_cleanup_migros_article_candidates_marks_superseded_and_audits() -> None:\\n    conn = db(); add_categories(conn)\\n    from jarvis_finance.services.budget_imports import seed_transaction_candidates_from_rows\\n    seed_transaction_candidates_from_rows(conn, [{\\\"Datum\\\": \\\"01.05.2026\\\", \\\"Filiale\\\": \\\"M\\\", \\\"Artikel\\\": \\\"Brot\\\", \\\"Umsatz\\\": \\\"1.00\\\"}], source_file_label=\\\"migros_old.csv\\\")\\n    stats = cleanup_migros_article_candidates(conn, dry_run=False)\\n    assert stats[\\\"article_candidate_count\\\"] == 1\\n    assert stats[\\\"superseded_count\\\"] == 1\\n    row = list_transaction_candidates(conn, status=\\\"superseded\\\")[0]\\n    assert row[\\\"status\\\"] == \\\"superseded\\\"\\n    assert conn.execute(\\\"SELECT COUNT(*) FROM audit_log WHERE action='cleanup_migros_article_candidates'\\\").fetchone()[0] == 1\\n\"}"
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      "content": "{\"output\": \"==================================== ERRORS ====================================\\n___ ERROR collecting tests/unit/test_budget_phase15_source_aware_imports.py ____\\nImportError while importing test module '/home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase15_source_aware_imports.py'.\\nHint: make sure your test modules/packages have valid Python names.\\nTraceback:\\n../../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module\\n    return _bootstrap._gcd_import(name[level:], package, level)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntests/unit/test_budget_phase15_source_aware_imports.py:5: in <module>\\n    from jarvis_finance.services.budget_imports import (\\nE   ImportError: cannot import name 'batch_confirm_safe_candidates' from 'jarvis_finance.services.budget_imports' (/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py)\\n=========================== short test summary info ============================\\nERROR tests/unit/test_budget_phase15_source_aware_imports.py\\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\\n1 error in 0.32s\", \"exit_code\": 2, \"error\": null}",
      "tool_call_id": "call_RR6k8KKE9jT1DitDzadib2Xq"
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    {
      "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.",
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      "content": "{\"content\": \"   650|            candidate_type TEXT NOT NULL CHECK(candidate_type IN ('category','budget_plan','fixed_cost')),\\n   651|            sheet_name TEXT NOT NULL,\\n   652|            category_name TEXT,\\n   653|            parent_category_name TEXT,\\n   654|            position_name TEXT,\\n   655|            cadence TEXT,\\n   656|            has_monthly_values INTEGER NOT NULL DEFAULT 0,\\n   657|            has_annual_value INTEGER NOT NULL DEFAULT 0,\\n   658|            quality_flags_json TEXT NOT NULL DEFAULT '[]',\\n   659|            created_at TEXT NOT NULL\\n   660|        );\\n   661|        CREATE INDEX IF NOT EXISTS idx_budget_excel_seed_candidates_dry_run ON budget_excel_seed_candidates(dry_run_id);\\n   662|\\n   663|        CREATE TABLE IF NOT EXISTS budget_seed_candidates (\\n   664|            seed_candidate_id TEXT PRIMARY KEY,\\n   665|            source_file_label TEXT NOT NULL,\\n   666|            source_sheet TEXT NOT NULL,\\n   667|            source_row_or_range TEXT,\\n   668|            candidate_type TEXT NOT NULL CHECK(candidate_type IN ('category','budget_plan','recurring_candidate','unclean_range')),\\n   669|            source_label TEXT,\\n   670|            proposed_category_id TEXT REFERENCES budget_categories(category_id),\\n   671|            proposed_parent_label TEXT,\\n   672|            proposed_name TEXT,\\n   673|            proposed_period_type TEXT CHECK(proposed_period_type IS NULL OR proposed_period_type IN ('monthly','annual','fixed_like','unclear')),\\n   674|            proposed_amount_text TEXT,\\n   675|            currency TEXT NOT NULL DEFAULT 'CHF',\\n   676|            confidence TEXT NOT NULL DEFAULT '0',\\n   677|            requires_review INTEGER NOT NULL DEFAULT 1,\\n   678|            status TEXT NOT NULL DEFAULT 'pending' CHECK(status IN ('pending','accepted','edited','ignored','needs_review','confirmed')),\\n   679|            notes TEXT,\\n   680|            created_at TEXT NOT NULL,\\n   681|            updated_at TEXT\\n   682|        );\\n   683|        CREATE INDEX IF NOT EXISTS idx_budget_seed_candidates_status ON budget_seed_candidates(status);\\n   684|        CREATE INDEX IF NOT EXISTS idx_budget_seed_candidates_type ON budget_seed_candidates(candidate_type);\\n   685|        CREATE INDEX IF NOT EXISTS idx_budget_seed_candidates_sheet ON budget_seed_candidates(source_sheet);\\n   686|        \\\"\\\"\\\"\\n   687|    )\\n   688|    _add_missing_columns(conn, \\\"budget_seed_candidates\\\", {\\n   689|        \\\"source_file_label\\\": \\\"TEXT\\\",\\n   690|        \\\"source_sheet\\\": \\\"TEXT\\\",\\n   691|        \\\"source_row_or_range\\\": \\\"TEXT\\\",\\n   692|        \\\"candidate_type\\\": \\\"TEXT\\\",\\n   693|        \\\"source_label\\\": \\\"TEXT\\\",\\n   694|        \\\"proposed_category_id\\\": \\\"TEXT REFERENCES budget_categories(category_id)\\\",\\n   695|        \\\"proposed_parent_label\\\": \\\"TEXT\\\",\\n   696|        \\\"proposed_name\\\": \\\"TEXT\\\",\\n   697|        \\\"proposed_period_type\\\": \\\"TEXT\\\",\\n   698|        \\\"proposed_amount_text\\\": \\\"TEXT\\\",\\n   699|        \\\"currency\\\": \\\"TEXT DEFAULT 'CHF'\\\",\\n   700|        \\\"confidence\\\": \\\"TEXT DEFAULT '0'\\\",\\n   701|        \\\"requires_review\\\": \\\"INTEGER DEFAULT 1\\\",\\n   702|        \\\"status\\\": \\\"TEXT DEFAULT 'pending'\\\",\\n   703|        \\\"notes\\\": \\\"TEXT\\\",\\n   704|        \\\"created_at\\\": \\\"TEXT\\\",\\n   705|        \\\"updated_at\\\": \\\"TEXT\\\",\\n   706|    })\\n   707|\\n   708|\\n   709|\\n   710|def _create_budget_phase14_tables(conn: Connection) -> None:\\n   711|    conn.executescript(\\n   712|        \\\"\\\"\\\"\\n   713|        CREATE TABLE IF NOT EXISTS budget_transaction_candidates (\\n   714|            transaction_candidate_id TEXT PRIMARY KEY,\\n   715|            source_file_label TEXT NOT NULL,\\n   716|            source_row_or_range TEXT,\\n   717|            source_type TEXT NOT NULL DEFAULT 'csv_seed',\\n   718|            transaction_date TEXT,\\n   719|            description TEXT NOT NULL,\\n   720|            merchant TEXT,\\n   721|            amount_original TEXT,\\n   722|            currency_original TEXT NOT NULL DEFAULT 'CHF',\\n   723|            proposed_category_id TEXT REFERENCES budget_categories(category_id),\\n   724|            proposed_category_name TEXT,\\n   725|            duplicate_of_transaction_id TEXT REFERENCES budget_transactions(budget_transaction_id),\\n   726|            confidence TEXT NOT NULL DEFAULT '0',\\n   727|            requires_review INTEGER NOT NULL DEFAULT 1,\\n   728|            status TEXT NOT NULL DEFAULT 'pending' CHECK(status IN ('pending','needs_review','ignored','confirmed','duplicate')),\\n   729|            notes TEXT,\\n   730|            created_at TEXT NOT NULL,\\n   731|            updated_at TEXT\\n   732|        );\\n   733|        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_status ON budget_transaction_candidates(status);\\n   734|        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_source ON budget_transaction_candidates(source_file_label);\\n   735|        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_category ON budget_transaction_candidates(proposed_category_id);\\n   736|        \\\"\\\"\\\"\\n   737|    )\\n   738|\\n   739|\\n   740|def _apply_compat_migrations(conn: Connection) -> None:\\n   741|    _add_missing_instrument_columns(conn)\\n   742|    for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n   743|        _rebuild_table_with_text_columns(conn, table, text_columns)\\n   744|    _create_broker_bank_mapping_tables(conn)\\n   745|    _create_broker_import_review_items(conn)\\n   746|    _create_broker_import_execution_plans(conn)\\n   747|    _add_transaction_void_columns(conn)\\n   748|    _create_fx_market_data_tables(conn)\\n   749|    _create_instrument_import_candidates(conn)\\n   750|    _create_budget_phase1_tables(conn)\\n   751|    _create_budget_phase11_tables(conn)\\n   752|    _create_budget_phase14_tables(conn)\\n   753|\\n   754|\\n   755|def apply_migrations(conn: Connection) -> None:\\n   756|    conn.executescript(INITIAL_SCHEMA_SQL)\\n   757|    existing_initial = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = 1\\\").fetchone()\\n   758|    if not existing_initial:\\n   759|        conn.execute(\\n   760|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n   761|            (1, \\\"001_initial_schema\\\", utc_now(), checksum_sql(INITIAL_SCHEMA_SQL)),\\n   762|        )\\n   763|    _apply_compat_migrations(conn)\\n   764|    existing = conn.execute(\\\"SELECT 1 FROM schema_migrations WHERE version = ?\\\", (MIGRATION_VERSION,)).fetchone()\\n   765|    if not existing:\\n   766|        conn.execute(\\n   767|            \\\"INSERT INTO schema_migrations(version, name, applied_at, checksum) VALUES (?, ?, ?, ?)\\\",\\n   768|            (MIGRATION_VERSION, MIGRATION_NAME, utc_now(), checksum_sql(MIGRATION_NAME)),\\n   769|        )\\n   770|    conn.commit()\\n   771|\", \"total_lines\": 770, \"file_size\": 35187, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_bvKxhH3KMBpMgHvg4eNDo4Z8"
    },
    {
      "role": "assistant",
      "content": "",
      "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.",
      "finish_reason": "tool_calls",
      "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."
            }
          ]
        }
      ],
      "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\\\"\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -6,8 +6,8 @@\\n \\n from .schema import INITIAL_SCHEMA_SQL\\n \\n-MIGRATION_VERSION = 20\\n-MIGRATION_NAME = \\\"020_budget_phase14_workview_import_candidates\\\"\\n+MIGRATION_VERSION = 21\\n+MIGRATION_NAME = \\\"021_budget_phase15_source_aware_import_rules\\\"\\n \\n INSTRUMENT_OPTIONAL_COLUMNS = {\\n     \\\"position_category\\\": \\\"TEXT\\\",\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}",
      "tool_call_id": "call_fxNQPpo34ySQsjVNS1XcvC5T"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "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(conn, table, text_columns)\\n    _create_broker_bank_mapping_tables(conn)\\n    _create_broker_import_review_items(conn)\\n    _create_broker_import_execution_plans(conn)\\n    _add_transaction_void_columns(conn)\\n    _create_fx_market_data_tables(conn)\\n    _create_instrument_import_candidates(conn)\\n    _create_budget_phase1_tables(conn)\\n    _create_budget_phase11_tables(conn)\\n    _create_budget_phase14_tables(conn)\\n\",\"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 such as covered_by_migros,\\n    # transfer_candidate and superseded. Rebuild once if the old CHECK is present.\\n    row = conn.execute(\\\"SELECT sql FROM sqlite_master WHERE type='table' AND name='budget_transaction_candidates'\\\").fetchone()\\n    if row and row[\\\"sql\\\"] and \\\"CHECK(status IN\\\" in row[\\\"sql\\\"]:\\n        conn.execute(\\\"ALTER TABLE budget_transaction_candidates RENAME TO budget_transaction_candidates__phase14\\\")\\n        conn.executescript(\\n            \\\"\\\"\\\"\\n            CREATE TABLE budget_transaction_candidates (\\n                transaction_candidate_id TEXT PRIMARY KEY,\\n                source_file_label TEXT NOT NULL,\\n                source_row_or_range TEXT,\\n                source_type TEXT NOT NULL DEFAULT 'csv_seed',\\n                transaction_date TEXT,\\n                description TEXT NOT NULL,\\n                merchant TEXT,\\n                amount_original TEXT,\\n                currency_original TEXT NOT NULL DEFAULT 'CHF',\\n                proposed_category_id TEXT REFERENCES budget_categories(category_id),\\n                proposed_category_name TEXT,\\n                duplicate_of_transaction_id TEXT REFERENCES budget_transactions(budget_transaction_id),\\n                confidence TEXT NOT NULL DEFAULT '0',\\n                requires_review INTEGER NOT NULL DEFAULT 1,\\n                status TEXT NOT NULL DEFAULT 'pending',\\n                notes TEXT,\\n                created_at TEXT NOT NULL,\\n                updated_at TEXT,\\n                classification TEXT,\\n                review_reason TEXT,\\n                rule_id TEXT,\\n                source_priority INTEGER NOT NULL DEFAULT 50,\\n                covered_by_source TEXT,\\n                receipt_key TEXT,\\n                linked_candidate_id TEXT,\\n                account_source TEXT,\\n                raw_fingerprint TEXT\\n            );\\n            INSERT INTO budget_transaction_candidates(\\n                transaction_candidate_id, source_file_label, source_row_or_range, source_type,\\n                transaction_date, description, merchant, amount_original, currency_original,\\n                proposed_category_id, proposed_category_name, duplicate_of_transaction_id,\\n                confidence, requires_review, status, notes, created_at, updated_at\\n            )\\n            SELECT transaction_candidate_id, source_file_label, source_row_or_range, source_type,\\n                transaction_date, description, merchant, amount_original, currency_original,\\n                proposed_category_id, proposed_category_name, duplicate_of_transaction_id,\\n                confidence, requires_review, status, notes, created_at, updated_at\\n            FROM budget_transaction_candidates__phase14;\\n            DROP TABLE budget_transaction_candidates__phase14;\\n            \\\"\\\"\\\"\\n        )\\n    _add_missing_columns(conn, \\\"budget_transaction_candidates\\\", {\\n        \\\"classification\\\": \\\"TEXT\\\",\\n        \\\"review_reason\\\": \\\"TEXT\\\",\\n        \\\"rule_id\\\": \\\"TEXT\\\",\\n        \\\"source_priority\\\": \\\"INTEGER NOT NULL DEFAULT 50\\\",\\n        \\\"covered_by_source\\\": \\\"TEXT\\\",\\n        \\\"receipt_key\\\": \\\"TEXT\\\",\\n        \\\"linked_candidate_id\\\": \\\"TEXT\\\",\\n        \\\"account_source\\\": \\\"TEXT\\\",\\n        \\\"raw_fingerprint\\\": \\\"TEXT\\\",\\n    })\\n    conn.executescript(\\n        \\\"\\\"\\\"\\n        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_status ON budget_transaction_candidates(status);\\n        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_source ON budget_transaction_candidates(source_file_label);\\n        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_category ON budget_transaction_candidates(proposed_category_id);\\n        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_classification ON budget_transaction_candidates(classification);\\n        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_receipt ON budget_transaction_candidates(receipt_key);\\n\\n        CREATE TABLE IF NOT EXISTS budget_import_line_items (\\n            line_item_id TEXT PRIMARY KEY,\\n            transaction_candidate_id TEXT NOT NULL REFERENCES budget_transaction_candidates(transaction_candidate_id),\\n            source_file_label TEXT NOT NULL,\\n            receipt_key TEXT NOT NULL,\\n            source_row_or_range TEXT,\\n            item_name TEXT,\\n            quantity TEXT,\\n            is_promotion INTEGER NOT NULL DEFAULT 0,\\n            amount_original TEXT,\\n            currency_original TEXT NOT NULL DEFAULT 'CHF',\\n            raw_fingerprint TEXT,\\n            created_at TEXT NOT NULL\\n        );\\n        CREATE INDEX IF NOT EXISTS idx_budget_import_line_items_candidate ON budget_import_line_items(transaction_candidate_id);\\n        CREATE INDEX IF NOT EXISTS idx_budget_import_line_items_receipt ON budget_import_line_items(receipt_key);\\n\\n        CREATE TABLE IF NOT EXISTS budget_candidate_splits (\\n            split_id TEXT PRIMARY KEY,\\n            transaction_candidate_id TEXT NOT NULL REFERENCES budget_transaction_candidates(transaction_candidate_id),\\n            category_id TEXT REFERENCES budget_categories(category_id),\\n            amount_original TEXT NOT NULL,\\n            notes TEXT,\\n            created_at TEXT NOT NULL,\\n            updated_at TEXT\\n        );\\n        CREATE INDEX IF NOT EXISTS idx_budget_candidate_splits_candidate ON budget_candidate_splits(transaction_candidate_id);\\n\\n        CREATE TABLE IF NOT EXISTS budget_import_rules (\\n            rule_id TEXT PRIMARY KEY,\\n            rule_type TEXT NOT NULL,\\n            pattern TEXT NOT NULL,\\n            source_type TEXT,\\n            target_action TEXT NOT NULL,\\n            target_category_id TEXT REFERENCES budget_categories(category_id),\\n            threshold_amount TEXT,\\n            confidence TEXT NOT NULL DEFAULT '0.80',\\n            is_active INTEGER NOT NULL DEFAULT 1,\\n            notes TEXT,\\n            created_at TEXT NOT NULL,\\n            updated_at TEXT\\n        );\\n        CREATE INDEX IF NOT EXISTS idx_budget_import_rules_active ON budget_import_rules(is_active, source_type);\\n        \\\"\\\"\\\"\\n    )\\n\\n\\ndef _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(conn, table, text_columns)\\n    _create_broker_bank_mapping_tables(conn)\\n    _create_broker_import_review_items(conn)\\n    _create_broker_import_execution_plans(conn)\\n    _add_transaction_void_columns(conn)\\n    _create_fx_market_data_tables(conn)\\n    _create_instrument_import_candidates(conn)\\n    _create_budget_phase1_tables(conn)\\n    _create_budget_phase11_tables(conn)\\n    _create_budget_phase14_tables(conn)\\n    _create_budget_phase15_tables(conn)\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\\n@@ -737,6 +737,124 @@\\n     )\\n \\n \\n+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 such as covered_by_migros,\\n+    # transfer_candidate and superseded. Rebuild once if the old CHECK is present.\\n+    row = conn.execute(\\\"SELECT sql FROM sqlite_master WHERE type='table' AND name='budget_transaction_candidates'\\\").fetchone()\\n+    if row and row[\\\"sql\\\"] and \\\"CHECK(status IN\\\" in row[\\\"sql\\\"]:\\n+        conn.execute(\\\"ALTER TABLE budget_transaction_candidates RENAME TO budget_transaction_candidates__phase14\\\")\\n+        conn.executescript(\\n+            \\\"\\\"\\\"\\n+            CREATE TABLE budget_transaction_candidates (\\n+                transaction_candidate_id TEXT PRIMARY KEY,\\n+                source_file_label TEXT NOT NULL,\\n+                source_row_or_range TEXT,\\n+                source_type TEXT NOT NULL DEFAULT 'csv_seed',\\n+                transaction_date TEXT,\\n+                description TEXT NOT NULL,\\n+                merchant TEXT,\\n+                amount_original TEXT,\\n+                currency_original TEXT NOT NULL DEFAULT 'CHF',\\n+                proposed_category_id TEXT REFERENCES budget_categories(category_id),\\n+                proposed_category_name TEXT,\\n+                duplicate_of_transaction_id TEXT REFERENCES budget_transactions(budget_transaction_id),\\n+                confidence TEXT NOT NULL DEFAULT '0',\\n+                requires_review INTEGER NOT NULL DEFAULT 1,\\n+                status TEXT NOT NULL DEFAULT 'pending',\\n+                notes TEXT,\\n+                created_at TEXT NOT NULL,\\n+                updated_at TEXT,\\n+                classification TEXT,\\n+                review_reason TEXT,\\n+                rule_id TEXT,\\n+                source_priority INTEGER NOT NULL DEFAULT 50,\\n+                covered_by_source TEXT,\\n+                receipt_key TEXT,\\n+                linked_candidate_id TEXT,\\n+                account_source TEXT,\\n+                raw_fingerprint TEXT\\n+            );\\n+            INSERT INTO budget_transaction_candidates(\\n+                transaction_candidate_id, source_file_label, source_row_or_range, source_type,\\n+                transaction_date, description, merchant, amount_original, currency_original,\\n+                proposed_category_id, proposed_category_name, duplicate_of_transaction_id,\\n+                confidence, requires_review, status, notes, created_at, updated_at\\n+            )\\n+            SELECT transaction_candidate_id, source_file_label, source_row_or_range, source_type,\\n+                transaction_date, description, merchant, amount_original, currency_original,\\n+                proposed_category_id, proposed_category_name, duplicate_of_transaction_id,\\n+                confidence, requires_review, status, notes, created_at, updated_at\\n+            FROM budget_transaction_candidates__phase14;\\n+            DROP TABLE budget_transaction_candidates__phase14;\\n+            \\\"\\\"\\\"\\n+        )\\n+    _add_missing_columns(conn, \\\"budget_transaction_candidates\\\", {\\n+        \\\"classification\\\": \\\"TEXT\\\",\\n+        \\\"review_reason\\\": \\\"TEXT\\\",\\n+        \\\"rule_id\\\": \\\"TEXT\\\",\\n+        \\\"source_priority\\\": \\\"INTEGER NOT NULL DEFAULT 50\\\",\\n+        \\\"covered_by_source\\\": \\\"TEXT\\\",\\n+        \\\"receipt_key\\\": \\\"TEXT\\\",\\n+        \\\"linked_candidate_id\\\": \\\"TEXT\\\",\\n+        \\\"account_source\\\": \\\"TEXT\\\",\\n+        \\\"raw_fingerprint\\\": \\\"TEXT\\\",\\n+    })\\n+    conn.executescript(\\n+        \\\"\\\"\\\"\\n+        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_status ON budget_transaction_candidates(status);\\n+        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_source ON budget_transaction_candidates(source_file_label);\\n+        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_category ON budget_transaction_candidates(proposed_category_id);\\n+        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_classification ON budget_transaction_candidates(classification);\\n+        CREATE INDEX IF NOT EXISTS idx_budget_transaction_candidates_receipt ON budget_transaction_candidates(receipt_key);\\n+\\n+        CREATE TABLE IF NOT EXISTS budget_import_line_items (\\n+            line_item_id TEXT PRIMARY KEY,\\n+            transaction_candidate_id TEXT NOT NULL REFERENCES budget_transaction_candidates(transaction_candidate_id),\\n+            source_file_label TEXT NOT NULL,\\n+            receipt_key TEXT NOT NULL,\\n+            source_row_or_range TEXT,\\n+            item_name TEXT,\\n+            quantity TEXT,\\n+            is_promotion INTEGER NOT NULL DEFAULT 0,\\n+            amount_original TEXT,\\n+            currency_original TEXT NOT NULL DEFAULT 'CHF',\\n+            raw_fingerprint TEXT,\\n+            created_at TEXT NOT NULL\\n+        );\\n+        CREATE INDEX IF NOT EXISTS idx_budget_import_line_items_candidate ON budget_import_line_items(transaction_candidate_id);\\n+        CREATE INDEX IF NOT EXISTS idx_budget_import_line_items_receipt ON budget_import_line_items(receipt_key);\\n+\\n+        CREATE TABLE IF NOT EXISTS budget_candidate_splits (\\n+            split_id TEXT PRIMARY KEY,\\n+            transaction_candidate_id TEXT NOT NULL REFERENCES budget_transaction_candidates(transaction_candidate_id),\\n+            category_id TEXT REFERENCES budget_categories(category_id),\\n+            amount_original TEXT NOT NULL,\\n+            notes TEXT,\\n+            created_at TEXT NOT NULL,\\n+            updated_at TEXT\\n+        );\\n+        CREATE INDEX IF NOT EXISTS idx_budget_candidate_splits_candidate ON budget_candidate_splits(transaction_candidate_id);\\n+\\n+        CREATE TABLE IF NOT EXISTS budget_import_rules (\\n+            rule_id TEXT PRIMARY KEY,\\n+            rule_type TEXT NOT NULL,\\n+            pattern TEXT NOT NULL,\\n+            source_type TEXT,\\n+            target_action TEXT NOT NULL,\\n+            target_category_id TEXT REFERENCES budget_categories(category_id),\\n+            threshold_amount TEXT,\\n+            confidence TEXT NOT NULL DEFAULT '0.80',\\n+            is_active INTEGER NOT NULL DEFAULT 1,\\n+            notes TEXT,\\n+            created_at TEXT NOT NULL,\\n+            updated_at TEXT\\n+        );\\n+        CREATE INDEX IF NOT EXISTS idx_budget_import_rules_active ON budget_import_rules(is_active, source_type);\\n+        \\\"\\\"\\\"\\n+    )\\n+\\n+\\n def _apply_compat_migrations(conn: Connection) -> None:\\n     _add_missing_instrument_columns(conn)\\n     for table, text_columns in TEXT_AFFINITY_COLUMNS.items():\\n@@ -750,6 +868,7 @@\\n     _create_budget_phase1_tables(conn)\\n     _create_budget_phase11_tables(conn)\\n     _create_budget_phase14_tables(conn)\\n+    _create_budget_phase15_tables(conn)\\n \\n \\n def apply_migrations(conn: Connection) -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/storage/migrations.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_kGmkUC7FKmpVDpnhEsxJich1"
    },
    {
      "role": "assistant",
      "content": "",
      "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.",
      "finish_reason": "tool_calls",
      "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."
            }
          ]
        }
      ],
      "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 decimal import Decimal, InvalidOperation\\nfrom sqlite3 import Connection\\nfrom typing import Any\\n\\nfrom fastapi import HTTPException\\n\\nfrom jarvis_finance.audit.log import record_audit_event\\nfrom jarvis_finance.services.budget_common import new_id, now, row_to_dict\\nfrom jarvis_finance.services.budget_transactions import confirm_budget_transaction\\n\\nSUBSCRIPTION_PATTERNS = [\\\"APPLE\\\", \\\"APPLE.COM\\\", \\\"GOOGLE\\\", \\\"AMAZON PRIME\\\", \\\"NETFLIX\\\", \\\"DISNEY\\\", \\\"DISNEYPLUS\\\"]\\nMIGROS_PATTERNS = [\\\"MIGROS\\\", \\\"MIGROL\\\", \\\"CUMULUS\\\", \\\"MMM \\\", \\\"M \\\"]\\nGALAXUS_PATTERNS = [\\\"GALAXUS\\\"]\\nINCOME_PATTERNS = [\\\"LOHN\\\", \\\"SALARY\\\", \\\"ARBEITGEBER\\\", \\\"PAYROLL\\\", \\\"GEHALT\\\"]\\nTRANSFER_PATTERNS = [\\\"RAIFFEISEN\\\", \\\"AKB\\\", \\\"MARCEL\\\", \\\"MELANIE\\\", \\\"ÜBERTRAG\\\", \\\"UEBERTRAG\\\", \\\"TRANSFER\\\", \\\"EIGENES KONTO\\\", \\\"GUTSCHRIFT VON\\\"]\\n\\n\\ndef _decimal_text(value: object) -> str | None:\\n    if value in (None, \\\"\\\"):\\n        return None\\n    text = str(value).strip().replace(\\\"'\\\", \\\"\\\").replace(\\\"CHF\\\", \\\"\\\").replace(\\\"−\\\", \\\"-\\\")\\n    text = text.replace(\\\"+\\\", \\\"\\\")\\n    if text.count(\\\",\\\") == 1 and text.count(\\\".\\\") == 0:\\n        text = text.replace(\\\",\\\", \\\".\\\")\\n    text = text.replace(\\\" \\\", \\\"\\\")\\n    try:\\n        return format(abs(Decimal(text)), \\\"f\\\")\\n    except (InvalidOperation, ValueError):\\n        return None\\n\\n\\ndef _signed_decimal(value: object) -> Decimal | None:\\n    if value in (None, \\\"\\\"):\\n        return None\\n    text = str(value).strip().replace(\\\"'\\\", \\\"\\\").replace(\\\"CHF\\\", \\\"\\\").replace(\\\"−\\\", \\\"-\\\").replace(\\\"+\\\", \\\"\\\")\\n    if text.count(\\\",\\\") == 1 and text.count(\\\".\\\") == 0:\\n        text = text.replace(\\\",\\\", \\\".\\\")\\n    text = text.replace(\\\" \\\", \\\"\\\")\\n    try:\\n        return Decimal(text)\\n    except (InvalidOperation, ValueError):\\n        return None\\n\\n\\ndef _normalise(value: object) -> str:\\n    return str(value or \\\"\\\").strip().lower().replace(\\\"ä\\\", \\\"ae\\\").replace(\\\"ö\\\", \\\"oe\\\").replace(\\\"ü\\\", \\\"ue\\\").replace(\\\"\\\\ufeff\\\", \\\"\\\")\\n\\n\\ndef _upper_ascii(value: object) -> str:\\n    return _normalise(value).upper()\\n\\n\\ndef _date_text(value: object) -> str | None:\\n    text = str(value or \\\"\\\").strip()\\n    if not text:\\n        return None\\n    if re.match(r\\\"^\\\\d{4}-\\\\d{2}-\\\\d{2}\\\", text):\\n        return text[:10]\\n    m = re.match(r\\\"^(\\\\d{1,2})\\\\.(\\\\d{1,2})\\\\.(\\\\d{4})\\\", text)\\n    if m:\\n        d, mo, y = m.groups()\\n        return f\\\"{y}-{int(mo):02d}-{int(d):02d}\\\"\\n    return text[:10] if len(text) >= 10 else None\\n\\n\\ndef _category_name(conn: Connection, category_id: str | None) -> str | None:\\n    if not category_id:\\n        return None\\n    row = conn.execute(\\\"SELECT name FROM budget_categories WHERE category_id=?\\\", (category_id,)).fetchone()\\n    return str(row[\\\"name\\\"]) if row else None\\n\\n\\ndef _category_by_name(conn: Connection, needles: list[str]) -> tuple[str | None, str | None]:\\n    cats = conn.execute(\\\"SELECT category_id, name FROM budget_categories WHERE is_active=1\\\").fetchall()\\n    for needle in needles:\\n        n = _normalise(needle)\\n        for cat in cats:\\n            if n and (n in _normalise(cat[\\\"name\\\"]) or _normalise(cat[\\\"name\\\"]) in n):\\n                return str(cat[\\\"category_id\\\"]), str(cat[\\\"name\\\"])\\n    return None, None\\n\\n\\ndef suggest_category(conn: Connection, description: str, source_label: str = \\\"\\\") -> tuple[str | None, str | None, str, bool]:\\n    text = _normalise(f\\\"{source_label} {description}\\\")\\n    if \\\"migros\\\" in text or \\\"cumulus\\\" in text:\\n        cid, cname = _category_by_name(conn, [\\\"Essen & Haushalt\\\", \\\"Grosseinkauf\\\", \\\"Essen\\\", \\\"Haushalt\\\", \\\"Leben\\\"])\\n        return cid, cname or \\\"Essen & Haushalt / Grosseinkauf\\\", \\\"0.80\\\", cid is None\\n    keyword_map = [\\n        ([\\\"krankenkasse\\\", \\\"versicherung\\\", \\\"axa\\\", \\\"zurich\\\", \\\"css\\\", \\\"helsana\\\"], [\\\"Versicherungen\\\", \\\"Krankenkasse\\\"]),\\n        ([\\\"coop\\\", \\\"denner\\\", \\\"aldi\\\", \\\"lidl\\\"], [\\\"Essen\\\", \\\"Haushalt\\\", \\\"Leben\\\"]),\\n        ([\\\"sbb\\\", \\\"zug\\\", \\\"bahn\\\", \\\"parking\\\", \\\"tankstelle\\\", \\\"mazda\\\"], [\\\"Mobilität\\\", \\\"Auto\\\"]),\\n        ([\\\"lohn\\\", \\\"salary\\\", \\\"einkommen\\\", \\\"gutschrift\\\"], [\\\"Einnahmen\\\", \\\"Lohn\\\"]),\\n    ]\\n    for words, cats in keyword_map:\\n        if any(w in text for w in words):\\n            cid, cname = _category_by_name(conn, cats)\\n            return cid, cname or cats[0], \\\"0.65\\\", cid is None\\n    return None, None, \\\"0.20\\\", True\\n\\n\\ndef _duplicate_of(conn: Connection, tx_date: str | None, amount: str | None, description: str) -> str | None:\\n    if not tx_date or not amount:\\n        return None\\n    row = conn.execute(\\n        \\\"\\\"\\\"\\n        SELECT budget_transaction_id FROM budget_transactions\\n        WHERE transaction_date=? AND status IN ('confirmed','reversed')\\n          AND COALESCE(amount_chf, amount_original)=?\\n          AND lower(description)=lower(?)\\n        ORDER BY created_at LIMIT 1\\n        \\\"\\\"\\\",\\n        (tx_date, amount, description),\\n    ).fetchone()\\n    return str(row[\\\"budget_transaction_id\\\"]) if row else None\\n\\n\\ndef _candidate_key(source_label: str, row_ref: str, tx_date: str | None, amount: str | None, description: str) -> str:\\n    raw = \\\"|\\\".join([source_label, row_ref, tx_date or \\\"\\\", amount or \\\"\\\", description])\\n    return hashlib.sha256(raw.encode(\\\"utf-8\\\")).hexdigest()[:24]\\n\\n\\ndef _fingerprint(parts: list[object]) -> str:\\n    raw = \\\"|\\\".join(str(p or \\\"\\\").strip() for p in parts)\\n    return hashlib.sha256(raw.encode(\\\"utf-8\\\")).hexdigest()[:32]\\n\\n\\ndef _insert_candidate(conn: Connection, row: dict[str, Any]) -> bool:\\n    existing = conn.execute(\\n        \\\"\\\"\\\"\\n        SELECT 1 FROM budget_transaction_candidates\\n        WHERE source_file_label=? AND source_row_or_range=? AND transaction_date IS ?\\n          AND description=? AND COALESCE(amount_original,'')=COALESCE(?, '')\\n        \\\"\\\"\\\",\\n        (row[\\\"source_file_label\\\"], row.get(\\\"source_row_or_range\\\"), row.get(\\\"transaction_date\\\"), row[\\\"description\\\"], row.get(\\\"amount_original\\\")),\\n    ).fetchone()\\n    if existing:\\n        return False\\n    conn.execute(\\n        \\\"\\\"\\\"\\n        INSERT INTO budget_transaction_candidates(\\n          transaction_candidate_id, source_file_label, source_row_or_range, source_type,\\n          transaction_date, description, merchant, amount_original, currency_original,\\n          proposed_category_id, proposed_category_name, duplicate_of_transaction_id,\\n          confidence, requires_review, status, notes, created_at, updated_at,\\n          classification, review_reason, rule_id, source_priority, covered_by_source,\\n          receipt_key, linked_candidate_id, account_source, raw_fingerprint\\n        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n        \\\"\\\"\\\",\\n        (\\n            row[\\\"transaction_candidate_id\\\"], row[\\\"source_file_label\\\"], row.get(\\\"source_row_or_range\\\"), row.get(\\\"source_type\\\") or \\\"csv_seed\\\",\\n            row.get(\\\"transaction_date\\\"), row[\\\"description\\\"], row.get(\\\"merchant\\\"), row.get(\\\"amount_original\\\"), row.get(\\\"currency_original\\\") or \\\"CHF\\\",\\n            row.get(\\\"proposed_category_id\\\"), row.get(\\\"proposed_category_name\\\"), row.get(\\\"duplicate_of_transaction_id\\\"),\\n            row.get(\\\"confidence\\\") or \\\"0\\\", 1 if row.get(\\\"requires_review\\\", True) else 0, row.get(\\\"status\\\") or \\\"pending\\\", row.get(\\\"notes\\\"), row[\\\"created_at\\\"], row[\\\"updated_at\\\"],\\n            row.get(\\\"classification\\\"), row.get(\\\"review_reason\\\"), row.get(\\\"rule_id\\\"), row.get(\\\"source_priority\\\") or 50, row.get(\\\"covered_by_source\\\"),\\n            row.get(\\\"receipt_key\\\"), row.get(\\\"linked_candidate_id\\\"), row.get(\\\"account_source\\\"), row.get(\\\"raw_fingerprint\\\"),\\n        ),\\n    )\\n    return True\\n\\n\\ndef seed_transaction_candidates_from_rows(conn: Connection, rows: list[dict[str, Any]] | list[list[Any]], *, source_file_label: str, source_type: str = \\\"csv_seed\\\") -> dict[str, int]:\\n    created = duplicates = review = suggested = ignored = confirmed = 0\\n    for idx, raw in enumerate(rows, start=1):\\n        if isinstance(raw, dict):\\n            low = {_normalise(k): v for k, v in raw.items()}\\n            description = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"artikel\\\") or low.get(\\\"merchant\\\") or low.get(\\\"merchantname\\\") or low.get(\\\"haendler\\\") or \\\"\\\").strip()\\n            merchant = str(low.get(\\\"merchant\\\") or low.get(\\\"merchantname\\\") or low.get(\\\"filiale\\\") or low.get(\\\"haendler\\\") or \\\"\\\").strip() or None\\n            tx_date = _date_text(low.get(\\\"datum\\\") or low.get(\\\"date\\\") or low.get(\\\"buchungsdatum\\\") or low.get(\\\"valutadate\\\"))\\n            amount = _decimal_text(low.get(\\\"betrag\\\") or low.get(\\\"amount\\\") or low.get(\\\"umsatz\\\") or low.get(\\\"wert\\\") or low.get(\\\"originalamount\\\"))\\n        else:\\n            cells = [str(c).strip() for c in raw]\\n            description = next((c for c in cells if c and _decimal_text(c) is None and not c[:4].isdigit()), \\\"\\\")\\n            merchant = None\\n            tx_date = next((_date_text(c) for c in cells if _date_text(c)), None)\\n            amount = next((_decimal_text(c) for c in cells if _decimal_text(c) is not None), None)\\n        if not description or not amount:\\n            ignored += 1\\n            continue\\n        cid, cname, conf, needs_review = suggest_category(conn, description, source_file_label)\\n        dup = _duplicate_of(conn, tx_date, amount, description)\\n        status = \\\"duplicate\\\" if dup else (\\\"needs_review\\\" if needs_review else \\\"pending\\\")\\n        if dup:\\n            duplicates += 1\\n        if cid:\\n            suggested += 1\\n        if needs_review:\\n            review += 1\\n        ts = now()\\n        row_ref = f\\\"R{idx}\\\"\\n        inserted = _insert_candidate(conn, {\\n            \\\"transaction_candidate_id\\\": \\\"btxcand_\\\" + _candidate_key(source_file_label, row_ref, tx_date, amount, description),\\n            \\\"source_file_label\\\": source_file_label,\\n            \\\"source_row_or_range\\\": row_ref,\\n            \\\"source_type\\\": source_type,\\n            \\\"transaction_date\\\": tx_date,\\n            \\\"description\\\": description[:300],\\n            \\\"merchant\\\": merchant,\\n            \\\"amount_original\\\": amount,\\n            \\\"currency_original\\\": \\\"CHF\\\",\\n            \\\"proposed_category_id\\\": cid,\\n            \\\"proposed_category_name\\\": cname,\\n            \\\"duplicate_of_transaction_id\\\": dup,\\n            \\\"confidence\\\": conf,\\n            \\\"requires_review\\\": needs_review or bool(dup),\\n            \\\"status\\\": status,\\n            \\\"notes\\\": \\\"mvp_light_category_suggestion\\\",\\n            \\\"classification\\\": \\\"legacy_csv_seed\\\",\\n            \\\"review_reason\\\": \\\"legacy_seed_review\\\" if needs_review else \\\"legacy_seed_suggested\\\",\\n            \\\"raw_fingerprint\\\": _fingerprint([source_file_label, row_ref, tx_date, amount, description]),\\n            \\\"created_at\\\": ts,\\n            \\\"updated_at\\\": ts,\\n        })\\n        if inserted:\\n            created += 1\\n    conn.commit()\\n    return {\\\"candidate_count\\\": created, \\\"suggested_count\\\": suggested, \\\"review_required_count\\\": review, \\\"possible_duplicate_count\\\": duplicates, \\\"ignored_count\\\": ignored, \\\"confirmed_count\\\": confirmed}\\n\\n\\ndef seed_transaction_candidates_from_csv_text(conn: Connection, text: str, *, source_file_label: str, source_type: str = \\\"csv_seed\\\") -> dict[str, int]:\\n    sample = text[:4096]\\n    dialect = csv.Sniffer().sniff(sample, delimiters=\\\",;\\\\t\\\") if sample.strip() else csv.excel\\n    reader = csv.DictReader(text.splitlines(), dialect=dialect)\\n    if reader.fieldnames:\\n        return seed_transaction_candidates_from_rows(conn, list(reader), source_file_label=source_file_label, source_type=source_type)\\n    return seed_transaction_candidates_from_rows(conn, list(csv.reader(text.splitlines(), dialect=dialect)), source_file_label=source_file_label, source_type=source_type)\\n\\n\\ndef seed_migros_candidates_from_rows(conn: Connection, rows: list[dict[str, Any]], *, source_file_label: str, auto_category_id: str | None = None, threshold_chf: str = \\\"50.00\\\") -> dict[str, int]:\\n    threshold = Decimal(threshold_chf)\\n    auto_category_name = _category_name(conn, auto_category_id)\\n    grouped: dict[str, list[tuple[int, dict[str, Any]]]] = defaultdict(list)\\n    ignored = 0\\n    for idx, raw in enumerate(rows, start=1):\\n        low = {_normalise(k): v for k, v in raw.items()}\\n        tx_date = _date_text(low.get(\\\"datum\\\") or low.get(\\\"date\\\"))\\n        time = str(low.get(\\\"zeit\\\") or low.get(\\\"time\\\") or \\\"\\\").strip()\\n        store = str(low.get(\\\"filiale\\\") or low.get(\\\"store\\\") or \\\"Migros\\\").strip()\\n        register = str(low.get(\\\"kasse\\\") or low.get(\\\"kassennummer\\\") or low.get(\\\"register\\\") or \\\"\\\").strip()\\n        txn = str(low.get(\\\"transaktion\\\") or low.get(\\\"transaktionsnummer\\\") or low.get(\\\"bon\\\") or low.get(\\\"bon-id\\\") or \\\"\\\").strip()\\n        amount = _decimal_text(low.get(\\\"umsatz\\\") or low.get(\\\"betrag\\\") or low.get(\\\"amount\\\"))\\n        if not tx_date or not amount:\\n            ignored += 1\\n            continue\\n        key = _fingerprint([tx_date, time, store, register, txn])\\n        grouped[key].append((idx, raw))\\n    created = auto = review = line_count = 0\\n    for key, items in grouped.items():\\n        first_low = {_normalise(k): v for k, v in items[0][1].items()}\\n        tx_date = _date_text(first_low.get(\\\"datum\\\") or first_low.get(\\\"date\\\"))\\n        time = str(first_low.get(\\\"zeit\\\") or first_low.get(\\\"time\\\") or \\\"\\\").strip()\\n        store = str(first_low.get(\\\"filiale\\\") or first_low.get(\\\"store\\\") or \\\"Migros\\\").strip() or \\\"Migros\\\"\\n        register = str(first_low.get(\\\"kasse\\\") or first_low.get(\\\"kassennummer\\\") or first_low.get(\\\"register\\\") or \\\"\\\").strip()\\n        txn = str(first_low.get(\\\"transaktion\\\") or first_low.get(\\\"transaktionsnummer\\\") or first_low.get(\\\"bon\\\") or first_low.get(\\\"bon-id\\\") or \\\"\\\").strip()\\n        total = sum(Decimal(_decimal_text(({_normalise(k): v for k, v in raw.items()}).get(\\\"umsatz\\\") or ({_normalise(k): v for k, v in raw.items()}).get(\\\"betrag\\\") or ({_normalise(k): v for k, v in raw.items()}).get(\\\"amount\\\")) or \\\"0\\\") for _, raw in items)\\n        amount = format(total, \\\"f\\\")\\n        needs_review = total >= threshold or not auto_category_id\\n        status = \\\"needs_review\\\" if needs_review else \\\"pending\\\"\\n        classification = \\\"migros_review_over_threshold\\\" if needs_review else \\\"migros_auto_under_threshold\\\"\\n        review_reason = \\\"migros_receipt_over_threshold\\\" if needs_review else \\\"migros_receipt_under_threshold_auto\\\"\\n        row_ref = f\\\"BON:{tx_date}:{time}:{store}:{register}:{txn}\\\"[:180]\\n        ts = now()\\n        candidate_id = \\\"btxcand_\\\" + _candidate_key(source_file_label, row_ref, tx_date, amount, \\\"Migros Bon\\\")\\n        inserted = _insert_candidate(conn, {\\n            \\\"transaction_candidate_id\\\": candidate_id,\\n            \\\"source_file_label\\\": source_file_label,\\n            \\\"source_row_or_range\\\": row_ref,\\n            \\\"source_type\\\": \\\"migros_receipt\\\",\\n            \\\"transaction_date\\\": tx_date,\\n            \\\"description\\\": f\\\"Migros Bon {store}\\\"[:300],\\n            \\\"merchant\\\": store,\\n            \\\"amount_original\\\": amount,\\n            \\\"currency_original\\\": \\\"CHF\\\",\\n            \\\"proposed_category_id\\\": None if needs_review else auto_category_id,\\n            \\\"proposed_category_name\\\": None if needs_review else auto_category_name,\\n            \\\"confidence\\\": \\\"0.90\\\" if not needs_review else \\\"0.60\\\",\\n            \\\"requires_review\\\": needs_review,\\n            \\\"status\\\": status,\\n            \\\"notes\\\": json.dumps({\\\"threshold_chf\\\": threshold_chf, \\\"line_items\\\": len(items)}, ensure_ascii=False),\\n            \\\"classification\\\": classification,\\n            \\\"review_reason\\\": review_reason,\\n            \\\"rule_id\\\": \\\"migros_under_threshold_auto\\\" if not needs_review else \\\"migros_over_threshold_review\\\",\\n            \\\"source_priority\\\": 90,\\n            \\\"receipt_key\\\": key,\\n            \\\"raw_fingerprint\\\": key,\\n            \\\"created_at\\\": ts,\\n            \\\"updated_at\\\": ts,\\n        })\\n        if inserted:\\n            created += 1\\n            auto += 0 if needs_review else 1\\n            review += 1 if needs_review else 0\\n            for idx, raw in items:\\n                low = {_normalise(k): v for k, v in raw.items()}\\n                item_amount = _decimal_text(low.get(\\\"umsatz\\\") or low.get(\\\"betrag\\\") or low.get(\\\"amount\\\"))\\n                conn.execute(\\n                    \\\"\\\"\\\"\\n                    INSERT OR IGNORE INTO budget_import_line_items(\\n                        line_item_id, transaction_candidate_id, source_file_label, receipt_key,\\n                        source_row_or_range, item_name, quantity, is_promotion, amount_original,\\n                        currency_original, raw_fingerprint, created_at\\n                    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, 'CHF', ?, ?)\\n                    \\\"\\\"\\\",\\n                    (\\\"bline_\\\" + _fingerprint([source_file_label, key, idx]), candidate_id, source_file_label, key, f\\\"R{idx}\\\", str(low.get(\\\"artikel\\\") or low.get(\\\"article\\\") or \\\"\\\").strip(), str(low.get(\\\"menge\\\") or low.get(\\\"quantity\\\") or \\\"\\\").strip() or None, 1 if _normalise(low.get(\\\"aktion\\\") or \\\"\\\") in {\\\"1\\\", \\\"true\\\", \\\"ja\\\", \\\"yes\\\"} else 0, item_amount, _fingerprint([source_file_label, idx, raw]), ts),\\n                )\\n                line_count += 1\\n    conn.commit()\\n    return {\\\"receipt_candidate_count\\\": created, \\\"candidate_count\\\": created, \\\"line_item_count\\\": line_count, \\\"auto_assigned_count\\\": auto, \\\"review_required_count\\\": review, \\\"ignored_count\\\": ignored}\\n\\n\\ndef _matches_any(text: str, patterns: list[str]) -> bool:\\n    upper = _upper_ascii(text)\\n    return any(p in upper for p in patterns)\\n\\n\\ndef seed_credit_card_candidates_from_rows(conn: Connection, rows: list[dict[str, Any]], *, source_file_label: str, subscription_category_id: str | None = None, migros_covered: bool = True) -> dict[str, int]:\\n    sub_name = _category_name(conn, subscription_category_id)\\n    created = subs = galaxus = covered = dup_count = review = ignored = 0\\n    for idx, raw in enumerate(rows, start=1):\\n        low = {_normalise(k): v for k, v in raw.items()}\\n        desc = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"merchant\\\") or \\\"\\\").strip()\\n        tx_date = _date_text(low.get(\\\"datum\\\") or low.get(\\\"date\\\") or low.get(\\\"buchungsdatum\\\"))\\n        amount = _decimal_text(low.get(\\\"betrag\\\") or low.get(\\\"amount\\\") or low.get(\\\"umsatz\\\"))\\n        if not desc or not amount:\\n            ignored += 1; continue\\n        is_sub = _matches_any(desc, SUBSCRIPTION_PATTERNS)\\n        is_galaxus = _matches_any(desc, GALAXUS_PATTERNS)\\n        is_migros = _matches_any(desc, MIGROS_PATTERNS)\\n        dup = _duplicate_of(conn, tx_date, amount, desc)\\n        status = \\\"pending\\\"; needs_review = False; category_id = None; category_name = None; classification = \\\"card_uncategorized\\\"; reason = \\\"card_review\\\"; conf = \\\"0.40\\\"; covered_by = None\\n        if is_migros and migros_covered:\\n            status = \\\"covered_by_migros\\\"; needs_review = False; classification = \\\"covered_by_migros\\\"; reason = \\\"credit_card_migros_covered_by_migros\\\"; conf = \\\"0.95\\\"; covered_by = \\\"migros_csv\\\"\\n            covered += 1\\n        elif dup:\\n            status = \\\"duplicate\\\"; needs_review = True; classification = \\\"possible_duplicate\\\"; reason = \\\"matched_existing_transaction\\\"; dup_count += 1\\n        elif is_galaxus:\\n            status = \\\"needs_review\\\"; needs_review = True; classification = \\\"galaxus_review\\\"; reason = \\\"galaxus_requires_user_category_or_split\\\"; conf = \\\"0.70\\\"; galaxus += 1; review += 1\\n        elif is_sub:\\n            category_id = subscription_category_id; category_name = sub_name; classification = \\\"subscription_auto\\\"; reason = \\\"subscription_merchant_rule\\\"; conf = \\\"0.90\\\"; subs += 1\\n        else:\\n            status = \\\"needs_review\\\"; needs_review = True; review += 1\\n        ts = now(); row_ref = f\\\"R{idx}\\\"\\n        if _insert_candidate(conn, {\\n            \\\"transaction_candidate_id\\\": \\\"btxcand_\\\" + _candidate_key(source_file_label, row_ref, tx_date, amount, desc),\\n            \\\"source_file_label\\\": source_file_label, \\\"source_row_or_range\\\": row_ref, \\\"source_type\\\": \\\"credit_card_csv\\\",\\n            \\\"transaction_date\\\": tx_date, \\\"description\\\": desc[:300], \\\"merchant\\\": desc[:120], \\\"amount_original\\\": amount, \\\"currency_original\\\": \\\"CHF\\\",\\n            \\\"proposed_category_id\\\": category_id, \\\"proposed_category_name\\\": category_name, \\\"duplicate_of_transaction_id\\\": dup,\\n            \\\"confidence\\\": conf, \\\"requires_review\\\": needs_review, \\\"status\\\": status, \\\"notes\\\": reason,\\n            \\\"classification\\\": classification, \\\"review_reason\\\": reason, \\\"rule_id\\\": classification, \\\"source_priority\\\": 70,\\n            \\\"covered_by_source\\\": covered_by, \\\"raw_fingerprint\\\": _fingerprint([source_file_label, row_ref, tx_date, amount, desc]), \\\"created_at\\\": ts, \\\"updated_at\\\": ts,\\n        }):\\n            created += 1\\n    conn.commit()\\n    return {\\\"candidate_count\\\": created, \\\"subscription_auto_count\\\": subs, \\\"galaxus_review_count\\\": galaxus, \\\"covered_by_migros_count\\\": covered, \\\"possible_duplicate_count\\\": dup_count, \\\"review_required_count\\\": review, \\\"ignored_count\\\": ignored}\\n\\n\\n@dataclass\\nclass _BankRow:\\n    idx: int\\n    date: str | None\\n    desc: str\\n    amount_abs: str\\n    amount_signed: Decimal\\n    account: str | None\\n\\n\\ndef _bank_rows(rows: list[dict[str, Any]]) -> list[_BankRow]:\\n    parsed = []\\n    for idx, raw in enumerate(rows, start=1):\\n        low = {_normalise(k): v for k, v in raw.items()}\\n        desc = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"name\\\") or \\\"\\\").strip()\\n        date = _date_text(low.get(\\\"datum\\\") or low.get(\\\"date\\\") or low.get(\\\"buchungsdatum\\\"))\\n        signed = _signed_decimal(low.get(\\\"betrag\\\") or low.get(\\\"amount\\\") or low.get(\\\"umsatz\\\"))\\n        if not desc or signed is None:\\n            continue\\n        parsed.append(_BankRow(idx, date, desc, format(abs(signed), \\\"f\\\"), signed, str(low.get(\\\"konto\\\") or low.get(\\\"account\\\") or \\\"\\\").strip() or None))\\n    return parsed\\n\\n\\ndef _find_transfer_indices(rows: list[_BankRow]) -> set[int]:\\n    indices: set[int] = set()\\n    for i, left in enumerate(rows):\\n        for right in rows[i + 1:]:\\n            if left.amount_abs != right.amount_abs or left.amount_signed * right.amount_signed >= 0:\\n                continue\\n            if left.date and right.date:\\n                d1 = datetime.fromisoformat(left.date); d2 = datetime.fromisoformat(right.date)\\n                if abs((d1 - d2).days) > 3:\\n                    continue\\n            joined = f\\\"{left.desc} {right.desc} {left.account or ''} {right.account or ''}\\\"\\n            if _matches_any(joined, TRANSFER_PATTERNS):\\n                indices.add(left.idx); indices.add(right.idx)\\n    return indices\\n\\n\\ndef seed_bank_transfer_candidates_from_rows(conn: Connection, rows: list[dict[str, Any]], *, source_file_label: str, income_category_id: str | None = None) -> dict[str, int]:\\n    parsed = _bank_rows(rows)\\n    transfer_indices = _find_transfer_indices(parsed)\\n    income_name = _category_name(conn, income_category_id)\\n    created = income = transfer = review = dup_count = 0\\n    for br in parsed:\\n        dup = _duplicate_of(conn, br.date, br.amount_abs, br.desc)\\n        category_id = None; category_name = None; status = \\\"needs_review\\\"; needs_review = True; classification = \\\"bank_review\\\"; reason = \\\"bank_payment_unclear\\\"; tx_type = \\\"expense\\\" if br.amount_signed < 0 else \\\"income\\\"; conf = \\\"0.50\\\"\\n        if br.idx in transfer_indices:\\n            status = \\\"transfer_candidate\\\"; needs_review = True; classification = \\\"transfer_candidate\\\"; reason = \\\"possible_internal_transfer\\\"; tx_type = \\\"transfer\\\"; conf = \\\"0.85\\\"; transfer += 1\\n        elif br.amount_signed > 0 and _matches_any(br.desc, INCOME_PATTERNS):\\n            category_id = income_category_id; category_name = income_name; status = \\\"pending\\\"; needs_review = False; classification = \\\"income_candidate\\\"; reason = \\\"income_pattern\\\"; tx_type = \\\"income\\\"; conf = \\\"0.85\\\"; income += 1\\n        elif dup:\\n            status = \\\"duplicate\\\"; classification = \\\"possible_duplicate\\\"; reason = \\\"matched_existing_transaction\\\"; dup_count += 1\\n        else:\\n            review += 1\\n        ts = now(); row_ref = f\\\"R{br.idx}\\\"\\n        if _insert_candidate(conn, {\\n            \\\"transaction_candidate_id\\\": \\\"btxcand_\\\" + _candidate_key(source_file_label, row_ref, br.date, br.amount_abs, br.desc),\\n            \\\"source_file_label\\\": source_file_label, \\\"source_row_or_range\\\": row_ref, \\\"source_type\\\": \\\"bank_csv\\\",\\n            \\\"transaction_date\\\": br.date, \\\"description\\\": br.desc[:300], \\\"merchant\\\": None, \\\"amount_original\\\": br.amount_abs, \\\"currency_original\\\": \\\"CHF\\\",\\n            \\\"proposed_category_id\\\": category_id, \\\"proposed_category_name\\\": category_name, \\\"duplicate_of_transaction_id\\\": dup,\\n            \\\"confidence\\\": conf, \\\"requires_review\\\": needs_review, \\\"status\\\": status, \\\"notes\\\": json.dumps({\\\"transaction_type\\\": tx_type, \\\"reason\\\": reason}, ensure_ascii=False),\\n            \\\"classification\\\": classification, \\\"review_reason\\\": reason, \\\"rule_id\\\": classification, \\\"source_priority\\\": 80,\\n            \\\"account_source\\\": br.account, \\\"raw_fingerprint\\\": _fingerprint([source_file_label, row_ref, br.date, br.amount_abs, br.desc, br.account]), \\\"created_at\\\": ts, \\\"updated_at\\\": ts,\\n        }):\\n            created += 1\\n    conn.commit()\\n    return {\\\"candidate_count\\\": created, \\\"income_candidate_count\\\": income, \\\"transfer_candidate_count\\\": transfer, \\\"review_required_count\\\": review, \\\"possible_duplicate_count\\\": dup_count}\\n\\n\\ndef list_transaction_candidates(conn: Connection, *, status: str | None = None, tab: str | None = None) -> list[dict[str, Any]]:\\n    clauses=[]; params=[]\\n    if status:\\n        clauses.append(\\\"status=?\\\"); params.append(status)\\n    if tab:\\n        mapping = {\\n            \\\"auto\\\": \\\"requires_review=0 AND status='pending'\\\",\\n            \\\"review\\\": \\\"requires_review=1 AND status IN ('needs_review','pending','transfer_candidate','duplicate')\\\",\\n            \\\"duplicates\\\": \\\"status='duplicate'\\\",\\n            \\\"transfers\\\": \\\"classification='transfer_candidate' OR status='transfer_candidate'\\\",\\n            \\\"galaxus\\\": \\\"classification='galaxus_review'\\\",\\n            \\\"migros_over_50\\\": \\\"classification='migros_review_over_threshold'\\\",\\n            \\\"bank\\\": \\\"source_type='bank_csv'\\\",\\n            \\\"income\\\": \\\"classification='income_candidate'\\\",\\n            \\\"ignored\\\": \\\"status IN ('ignored','covered_by_migros','superseded')\\\",\\n        }\\n        if tab in mapping:\\n            clauses.append(mapping[tab])\\n    where = \\\"WHERE \\\" + \\\" AND \\\".join(clauses) if clauses else \\\"\\\"\\n    rows = conn.execute(f\\\"SELECT * FROM budget_transaction_candidates {where} ORDER BY created_at DESC LIMIT 500\\\", params).fetchall()\\n    return [row_to_dict(r) | {\\\"requires_review\\\": bool(r[\\\"requires_review\\\"])} for r in rows]\\n\\n\\ndef preview_transaction_candidate(conn: Connection, candidate_id: str, payload: dict[str, Any] | None = None) -> dict[str, Any]:\\n    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n    if not row:\\n        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n    payload = payload or {}\\n    cat_id = payload.get(\\\"category_id\\\") or row[\\\"proposed_category_id\\\"]\\n    notes = row[\\\"notes\\\"] or \\\"\\\"\\n    tx_type = payload.get(\\\"transaction_type\\\") or \\\"expense\\\"\\n    try:\\n        meta = json.loads(notes) if notes and notes.startswith(\\\"{\\\") else {}\\n        tx_type = payload.get(\\\"transaction_type\\\") or meta.get(\\\"transaction_type\\\") or tx_type\\n    except json.JSONDecodeError:\\n        pass\\n    return {\\n        \\\"preview_id\\\": new_id(\\\"preview\\\"),\\n        \\\"summary\\\": \\\"Buchungskandidat übernehmen\\\",\\n        \\\"warnings\\\": [\\\"Möglicher Duplikat-Treffer\\\"] if row[\\\"duplicate_of_transaction_id\\\"] else ([] if cat_id or tx_type == \\\"transfer\\\" else [\\\"Kategorie fehlt\\\"]),\\n        \\\"payload\\\": {\\n            \\\"account_id\\\": payload.get(\\\"account_id\\\"),\\n            \\\"transaction_type\\\": tx_type,\\n            \\\"transaction_date\\\": payload.get(\\\"transaction_date\\\") or row[\\\"transaction_date\\\"],\\n            \\\"description\\\": payload.get(\\\"description\\\") or row[\\\"description\\\"],\\n            \\\"payee\\\": payload.get(\\\"payee\\\") or row[\\\"merchant\\\"],\\n            \\\"amount_original\\\": row[\\\"amount_original\\\"],\\n            \\\"currency_original\\\": row[\\\"currency_original\\\"],\\n            \\\"category_id\\\": cat_id,\\n            \\\"source_type\\\": row[\\\"source_type\\\"] or \\\"import_candidate_later\\\",\\n            \\\"notes\\\": f\\\"Confirmed from transaction candidate {candidate_id}\\\",\\n        },\\n    }\\n\\n\\ndef confirm_transaction_candidate(conn: Connection, candidate_id: str, payload: dict[str, Any]) -> dict[str, Any]:\\n    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n    if not row:\\n        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n    if row[\\\"status\\\"] == \\\"confirmed\\\":\\n        raise HTTPException(status_code=409, detail=\\\"candidate already confirmed\\\")\\n    if row[\\\"status\\\"] in {\\\"covered_by_migros\\\", \\\"superseded\\\", \\\"ignored\\\"}:\\n        raise HTTPException(status_code=409, detail=\\\"candidate is not confirmable\\\")\\n    preview = preview_transaction_candidate(conn, candidate_id, payload)\\n    result = confirm_budget_transaction(conn, preview[\\\"payload\\\"])\\n    ts = now()\\n    conn.execute(\\\"UPDATE budget_transaction_candidates SET status='confirmed', updated_at=? WHERE transaction_candidate_id=?\\\", (ts, candidate_id))\\n    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"confirm\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, old_values={\\\"status\\\": row[\\\"status\\\"]}, new_values={\\\"status\\\": \\\"confirmed\\\", \\\"transaction_id\\\": result[\\\"entity_id\\\"]}, created_by=\\\"user\\\")\\n    conn.commit()\\n    return {\\\"status\\\": \\\"confirmed\\\", \\\"entity_id\\\": result[\\\"entity_id\\\"], \\\"audit_id\\\": audit_id, \\\"message\\\": \\\"Buchungskandidat übernommen\\\"}\\n\\n\\ndef ignore_transaction_candidate(conn: Connection, candidate_id: str, note: str | None = None) -> dict[str, Any]:\\n    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n    if not row:\\n        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n    ts = now()\\n    conn.execute(\\\"UPDATE budget_transaction_candidates SET status='ignored', notes=COALESCE(?, notes), updated_at=? WHERE transaction_candidate_id=?\\\", (note, ts, candidate_id))\\n    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"ignore\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, old_values={\\\"status\\\": row[\\\"status\\\"]}, new_values={\\\"status\\\": \\\"ignored\\\"}, created_by=\\\"user\\\")\\n    conn.commit()\\n    return {\\\"status\\\": \\\"ignored\\\", \\\"entity_id\\\": candidate_id, \\\"audit_id\\\": audit_id, \\\"message\\\": \\\"Buchungskandidat ignoriert\\\"}\\n\\n\\ndef update_transaction_candidate_category(conn: Connection, candidate_id: str, category_id: str, note: str | None = None) -> dict[str, Any]:\\n    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n    if not row:\\n        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n    if not conn.execute(\\\"SELECT 1 FROM budget_categories WHERE category_id=? AND is_active=1\\\", (category_id,)).fetchone():\\n        raise HTTPException(status_code=422, detail=\\\"active category not found\\\")\\n    cname = _category_name(conn, category_id)\\n    ts = now()\\n    conn.execute(\\\"UPDATE budget_transaction_candidates SET proposed_category_id=?, proposed_category_name=?, requires_review=0, status='pending', review_reason='user_category_override', updated_at=? WHERE transaction_candidate_id=?\\\", (category_id, cname, ts, candidate_id))\\n    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"update_category\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, old_values=row_to_dict(row), new_values={\\\"category_id\\\": category_id, \\\"category_name\\\": cname}, user_text_note=note, created_by=\\\"user\\\")\\n    conn.commit()\\n    return {\\\"status\\\": \\\"updated\\\", \\\"entity_id\\\": candidate_id, \\\"audit_id\\\": audit_id}\\n\\n\\ndef create_candidate_split(conn: Connection, candidate_id: str, splits: list[dict[str, Any]]) -> dict[str, Any]:\\n    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n    if not row:\\n        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n    if not splits:\\n        raise HTTPException(status_code=422, detail=\\\"splits required\\\")\\n    ts = now()\\n    conn.execute(\\\"DELETE FROM budget_candidate_splits WHERE transaction_candidate_id=?\\\", (candidate_id,))\\n    for split in splits:\\n        amount = _decimal_text(split.get(\\\"amount_original\\\"))\\n        if not amount:\\n            raise HTTPException(status_code=422, detail=\\\"split amount required\\\")\\n        conn.execute(\\\"INSERT INTO budget_candidate_splits(split_id, transaction_candidate_id, category_id, amount_original, notes, created_at, updated_at) VALUES (?, ?, ?, ?, ?, ?, ?)\\\", (new_id(\\\"bcsplit\\\"), candidate_id, split.get(\\\"category_id\\\"), amount, split.get(\\\"notes\\\"), ts, ts))\\n    conn.execute(\\\"UPDATE budget_transaction_candidates SET requires_review=1, status='needs_review', review_reason='split_pending_confirm', updated_at=? WHERE transaction_candidate_id=?\\\", (ts, candidate_id))\\n    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"split\\\", entity_type=\\\"budget_transaction_candidate_split\\\", entity_id=candidate_id, new_values={\\\"split_count\\\": len(splits)}, created_by=\\\"user\\\")\\n    conn.commit()\\n    return {\\\"status\\\": \\\"split_created\\\", \\\"entity_id\\\": candidate_id, \\\"split_count\\\": len(splits), \\\"audit_id\\\": audit_id}\\n\\n\\ndef mark_candidate_transfer(conn: Connection, candidate_id: str, note: str | None = None) -> dict[str, Any]:\\n    row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (candidate_id,)).fetchone()\\n    if not row:\\n        raise HTTPException(status_code=404, detail=\\\"transaction candidate not found\\\")\\n    ts = now()\\n    conn.execute(\\\"UPDATE budget_transaction_candidates SET status='transfer_candidate', classification='transfer_candidate', requires_review=1, review_reason='user_marked_transfer', notes=COALESCE(?, notes), updated_at=? WHERE transaction_candidate_id=?\\\", (note, ts, candidate_id))\\n    audit_id = record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"mark_transfer\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=candidate_id, old_values={\\\"status\\\": row[\\\"status\\\"]}, new_values={\\\"status\\\": \\\"transfer_candidate\\\"}, user_text_note=note, created_by=\\\"user\\\")\\n    conn.commit()\\n    return {\\\"status\\\": \\\"transfer_candidate\\\", \\\"entity_id\\\": candidate_id, \\\"audit_id\\\": audit_id}\\n\\n\\ndef batch_confirm_safe_candidates(conn: Connection, *, account_id: str, candidate_ids: list[str]) -> dict[str, int]:\\n    allowed = {\\\"subscription_auto\\\", \\\"migros_auto_under_threshold\\\", \\\"income_candidate\\\"}\\n    confirmed = skipped = 0\\n    for cid in candidate_ids:\\n        row = conn.execute(\\\"SELECT * FROM budget_transaction_candidates WHERE transaction_candidate_id=?\\\", (cid,)).fetchone()\\n        if not row or row[\\\"classification\\\"] not in allowed or row[\\\"status\\\"] != \\\"pending\\\" or row[\\\"requires_review\\\"]:\\n            skipped += 1\\n            continue\\n        confirm_transaction_candidate(conn, cid, {\\\"account_id\\\": account_id})\\n        confirmed += 1\\n    record_audit_event(conn, source=\\\"vue_dashboard\\\", action=\\\"batch_confirm_safe_candidates\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=\\\"batch\\\", new_values={\\\"confirmed_count\\\": confirmed, \\\"skipped_count\\\": skipped}, created_by=\\\"user\\\")\\n    conn.commit()\\n    return {\\\"confirmed_count\\\": confirmed, \\\"skipped_count\\\": skipped}\\n\\n\\ndef cleanup_migros_article_candidates(conn: Connection, *, dry_run: bool = True) -> dict[str, int]:\\n    where = \\\"\\\"\\\"\\n        status IN ('pending','needs_review','duplicate')\\n        AND (lower(COALESCE(source_file_label,'')) LIKE '%migros%' OR lower(COALESCE(source_file_label,'')) LIKE '%cumulus%')\\n        AND COALESCE(source_type,'') NOT IN ('migros_receipt')\\n    \\\"\\\"\\\"\\n    rows = conn.execute(f\\\"SELECT transaction_candidate_id FROM budget_transaction_candidates WHERE {where}\\\").fetchall()\\n    count = len(rows)\\n    if dry_run:\\n        return {\\\"article_candidate_count\\\": count, \\\"superseded_count\\\": 0, \\\"dry_run\\\": 1}\\n    ts = now()\\n    conn.execute(f\\\"UPDATE budget_transaction_candidates SET status='superseded', review_reason='superseded_by_migros_receipt_aggregation', updated_at=? WHERE {where}\\\", (ts,))\\n    audit_id = record_audit_event(conn, source=\\\"budget_phase15_cleanup\\\", action=\\\"cleanup_migros_article_candidates\\\", entity_type=\\\"budget_transaction_candidate\\\", entity_id=\\\"migros_article_candidates\\\", new_values={\\\"article_candidate_count\\\": count, \\\"status\\\": \\\"superseded\\\"}, created_by=\\\"agent\\\")\\n    conn.commit()\\n    return {\\\"article_candidate_count\\\": count, \\\"superseded_count\\\": count, \\\"audit_id\\\": audit_id, \\\"dry_run\\\": 0}\\n\"}"
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          "id": "rs_064af6ee3d6528eb016a099ec7e9ec8191845c4d7fcef46c01",
          "summary": []
        }
      ],
      "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\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \".F.F.                                                                    [100%]\\n=================================== FAILURES ===================================\\n_ test_credit_card_rules_subscriptions_galaxus_migros_covered_and_duplicate_detection _\\n\\n    def test_credit_card_rules_subscriptions_galaxus_migros_covered_and_duplicate_detection() -> None:\\n        conn = db(); cats = add_categories(conn)\\n        account = confirm_create_budget_account(conn, {\\\"name\\\": \\\"Karte\\\", \\\"account_type\\\": \\\"credit_card\\\", \\\"currency\\\": \\\"CHF\\\"})[\\\"entity_id\\\"]\\n        from jarvis_finance.services.budget_transactions import confirm_budget_transaction\\n        confirm_budget_transaction(conn, {\\\"account_id\\\": account, \\\"transaction_type\\\": \\\"expense\\\", \\\"transaction_date\\\": \\\"2026-05-04\\\", \\\"description\\\": \\\"NETFLIX\\\", \\\"amount_original\\\": \\\"19.90\\\", \\\"currency_original\\\": \\\"CHF\\\", \\\"category_id\\\": cats[\\\"abos\\\"]})\\n        rows = [\\n            {\\\"Datum\\\": \\\"01.05.2026\\\", \\\"Beschreibung\\\": \\\"APPLE.COM/BILL\\\", \\\"Betrag\\\": \\\"9.90\\\"},\\n            {\\\"Datum\\\": \\\"02.05.2026\\\", \\\"Beschreibung\\\": \\\"Galaxus Zürich\\\", \\\"Betrag\\\": \\\"120.00\\\"},\\n            {\\\"Datum\\\": \\\"03.05.2026\\\", \\\"Beschreibung\\\": \\\"MIGROS MMM\\\", \\\"Betrag\\\": \\\"42.00\\\"},\\n            {\\\"Datum\\\": \\\"04.05.2026\\\", \\\"Beschreibung\\\": \\\"NETFLIX\\\", \\\"Betrag\\\": \\\"19.90\\\"},\\n        ]\\n        stats = seed_credit_card_candidates_from_rows(conn, rows, source_file_label=\\\"card.csv\\\", subscription_category_id=cats[\\\"abos\\\"], migros_covered=True)\\n        assert stats[\\\"candidate_count\\\"] == 4\\n>       assert stats[\\\"subscription_auto_count\\\"] == 2\\nE       assert 1 == 2\\n\\ntests/unit/test_budget_phase15_source_aware_imports.py:72: AssertionError\\n_ test_review_actions_category_split_ignore_transfer_and_batch_confirm_safe_candidates _\\n\\n    def test_review_actions_category_split_ignore_transfer_and_batch_confirm_safe_candidates() -> None:\\n        conn = db(); cats = add_categories(conn)\\n        account = confirm_create_budget_account(conn, {\\\"name\\\": \\\"Budget\\\", \\\"account_type\\\": \\\"cash\\\", \\\"currency\\\": \\\"CHF\\\"})[\\\"entity_id\\\"]\\n        seed_credit_card_candidates_from_rows(conn, [{\\\"Datum\\\": \\\"01.05.2026\\\", \\\"Beschreibung\\\": \\\"APPLE\\\", \\\"Betrag\\\": \\\"9.90\\\"}], source_file_label=\\\"card.csv\\\", subscription_category_id=cats[\\\"abos\\\"])\\n        seed_migros_candidates_from_rows(conn, [{\\\"Datum\\\": \\\"02.05.2026\\\", \\\"Zeit\\\": \\\"10:00\\\", \\\"Filiale\\\": \\\"M\\\", \\\"Kasse\\\": \\\"1\\\", \\\"Transaktion\\\": \\\"A\\\", \\\"Artikel\\\": \\\"X\\\", \\\"Umsatz\\\": \\\"12.00\\\"}], source_file_label=\\\"migros.csv\\\", auto_category_id=cats[\\\"food\\\"])\\n        cid = list_transaction_candidates(conn)[0][\\\"transaction_candidate_id\\\"]\\n        assert update_transaction_candidate_category(conn, cid, cats[\\\"other\\\"], note=\\\"review\\\") [\\\"status\\\"] == \\\"updated\\\"\\n        assert create_candidate_split(conn, cid, [{\\\"category_id\\\": cats[\\\"food\\\"], \\\"amount_original\\\": \\\"5.00\\\"}, {\\\"category_id\\\": cats[\\\"other\\\"], \\\"amount_original\\\": \\\"4.90\\\"}])[\\\"split_count\\\"] == 2\\n        assert mark_candidate_transfer(conn, cid, note=\\\"own transfer\\\")[\\\"status\\\"] == \\\"transfer_candidate\\\"\\n>       safe = batch_confirm_safe_candidates(conn, account_id=account, candidate_ids=[c[\\\"transaction_candidate_id\\\"] for c in list_transaction_candidates(conn) if c[\\\"classification\\\"] in {\\\"subscription_auto\\\", \\\"migros_auto_under_threshold\\\"}])\\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\\ntests/unit/test_budget_phase15_source_aware_imports.py:111: \\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\nsrc/jarvis_finance/services/budget_imports.py:570: in batch_confirm_safe_candidates\\n    confirm_transaction_candidate(conn, cid, {\\\"account_id\\\": account_id})\\nsrc/jarvis_finance/services/budget_imports.py:499: in confirm_transaction_candidate\\n    result = confirm_budget_transaction(conn, preview[\\\"payload\\\"])\\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\n\\nconn = <sqlite3.Connection object at 0x772e80bd0130>\\npayload = {'account_id': 'bacc_5b8cc320b37a4760', 'amount_original': '12.00', 'category_id': 'bcat_food_household', 'currency_original': 'CHF', ...}\\n\\n    def confirm_budget_transaction(conn: Connection, payload: dict) -> dict:\\n        tx = _normalise_tx_payload(conn, payload)\\n        if tx[\\\"category_id\\\"] and not conn.execute(\\\"SELECT 1 FROM budget_categories WHERE category_id=?\\\", (tx[\\\"category_id\\\"],)).fetchone():\\n            raise HTTPException(status_code=422, detail=\\\"category not found\\\")\\n        ts = now()\\n>       conn.execute(\\n            \\\"\\\"\\\"\\n            INSERT INTO budget_transactions(\\n                budget_transaction_id, account_id, transaction_type, transaction_date, booking_date,\\n                description, payee, merchant_id, amount_original, currency_original, fx_rate_to_chf,\\n                amount_chf, fx_status, category_id, status, source_type, notes, created_at, updated_at,\\n                reversal_of_transaction_id\\n            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'confirmed', ?, ?, ?, ?, ?)\\n            \\\"\\\"\\\",\\n            (tx[\\\"budget_transaction_id\\\"], tx[\\\"account_id\\\"], tx[\\\"transaction_type\\\"], tx[\\\"transaction_date\\\"], tx[\\\"booking_date\\\"], tx[\\\"description\\\"], tx[\\\"payee\\\"], tx[\\\"merchant_id\\\"], tx[\\\"amount_original\\\"], tx[\\\"currency_original\\\"], tx[\\\"fx_rate_to_chf\\\"], tx[\\\"amount_chf\\\"], tx[\\\"fx_status\\\"], tx[\\\"category_id\\\"], tx[\\\"source_type\\\"], tx[\\\"notes\\\"], ts, ts, tx[\\\"reversal_of_transaction_id\\\"]),\\n        )\\nE       sqlite3.IntegrityError: CHECK constraint failed: source_type IN ('manual','import_candidate_later','system')\\n\\nsrc/jarvis_finance/services/budget_transactions.py:89: IntegrityError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_budget_phase15_source_aware_imports.py::test_credit_card_rules_subscriptions_galaxus_migros_covered_and_duplicate_detection\\nFAILED tests/unit/test_budget_phase15_source_aware_imports.py::test_review_actions_category_split_ignore_transfer_and_batch_confirm_safe_candidates\\n2 failed, 3 passed in 0.40s\", \"exit_code\": 1, \"error\": null}",
      "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.",
      "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!",
      "finish_reason": "tool_calls",
      "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": [
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          "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"
        }
      ],
      "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 = \\\"card_review\\\"; conf = \\\"0.40\\\"; covered_by = None\\n        if is_migros and migros_covered:\\n            status = \\\"covered_by_migros\\\"; needs_review = False; classification = \\\"covered_by_migros\\\"; reason = \\\"credit_card_migros_covered_by_migros\\\"; conf = \\\"0.95\\\"; covered_by = \\\"migros_csv\\\"\\n            covered += 1\\n        elif dup:\\n            status = \\\"duplicate\\\"; needs_review = True; classification = \\\"possible_duplicate\\\"; reason = \\\"matched_existing_transaction\\\"; dup_count += 1\\n        elif is_galaxus:\\n            status = \\\"needs_review\\\"; needs_review = True; classification = \\\"galaxus_review\\\"; reason = \\\"galaxus_requires_user_category_or_split\\\"; conf = \\\"0.70\\\"; galaxus += 1; review += 1\\n        elif is_sub:\\n            category_id = subscription_category_id; category_name = sub_name; classification = \\\"subscription_auto\\\"; reason = \\\"subscription_merchant_rule\\\"; conf = \\\"0.90\\\"; subs += 1\\n\",\"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 = \\\"card_review\\\"; conf = \\\"0.40\\\"; covered_by = None\\n        if is_sub:\\n            category_id = subscription_category_id; category_name = sub_name; classification = \\\"subscription_auto\\\"; reason = \\\"subscription_merchant_rule\\\"; conf = \\\"0.90\\\"; subs += 1\\n        if is_migros and migros_covered:\\n            status = \\\"covered_by_migros\\\"; needs_review = False; classification = \\\"covered_by_migros\\\"; reason = \\\"credit_card_migros_covered_by_migros\\\"; conf = \\\"0.95\\\"; covered_by = \\\"migros_csv\\\"\\n            covered += 1\\n        elif dup:\\n            status = \\\"duplicate\\\"; needs_review = True; reason = \\\"matched_existing_transaction\\\"; dup_count += 1\\n        elif is_galaxus:\\n            status = \\\"needs_review\\\"; needs_review = True; classification = \\\"galaxus_review\\\"; reason = \\\"galaxus_requires_user_category_or_split\\\"; conf = \\\"0.70\\\"; galaxus += 1; review += 1\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\\n@@ -336,15 +336,15 @@\\n         is_migros = _matches_any(desc, MIGROS_PATTERNS)\\n         dup = _duplicate_of(conn, tx_date, amount, desc)\\n         status = \\\"pending\\\"; needs_review = False; category_id = None; category_name = None; classification = \\\"card_uncategorized\\\"; reason = \\\"card_review\\\"; conf = \\\"0.40\\\"; covered_by = None\\n+        if is_sub:\\n+            category_id = subscription_category_id; category_name = sub_name; classification = \\\"subscription_auto\\\"; reason = \\\"subscription_merchant_rule\\\"; conf = \\\"0.90\\\"; subs += 1\\n         if is_migros and migros_covered:\\n             status = \\\"covered_by_migros\\\"; needs_review = False; classification = \\\"covered_by_migros\\\"; reason = \\\"credit_card_migros_covered_by_migros\\\"; conf = \\\"0.95\\\"; covered_by = \\\"migros_csv\\\"\\n             covered += 1\\n         elif dup:\\n-            status = \\\"duplicate\\\"; needs_review = True; classification = \\\"possible_duplicate\\\"; reason = \\\"matched_existing_transaction\\\"; dup_count += 1\\n+            status = \\\"duplicate\\\"; needs_review = True; reason = \\\"matched_existing_transaction\\\"; dup_count += 1\\n         elif is_galaxus:\\n             status = \\\"needs_review\\\"; needs_review = True; classification = \\\"galaxus_review\\\"; reason = \\\"galaxus_requires_user_category_or_split\\\"; conf = \\\"0.70\\\"; galaxus += 1; review += 1\\n-        elif is_sub:\\n-            category_id = subscription_category_id; category_name = sub_name; classification = \\\"subscription_auto\\\"; reason = \\\"subscription_merchant_rule\\\"; conf = \\\"0.90\\\"; subs += 1\\n         else:\\n             status = \\\"needs_review\\\"; needs_review = True; review += 1\\n         ts = now(); row_ref = f\\\"R{idx}\\\"\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "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.",
      "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.",
      "finish_reason": "tool_calls",
      "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": [
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          "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."
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      "codex_message_items": [
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          "role": "assistant",
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              "text": "Ich fahre fort, Sir: zuerst die beiden Phase‑1.5 Testlücken schließen, dann API/Review‑UI und Runtime‑Cleanup/Verifikation."
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    },
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      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\\n@@ -481,7 +481,7 @@\\n             \\\"amount_original\\\": row[\\\"amount_original\\\"],\\n             \\\"currency_original\\\": row[\\\"currency_original\\\"],\\n             \\\"category_id\\\": cat_id,\\n-            \\\"source_type\\\": row[\\\"source_type\\\"] or \\\"import_candidate_later\\\",\\n+            \\\"source_type\\\": \\\"import_candidate_later\\\",\\n             \\\"notes\\\": f\\\"Confirmed from transaction candidate {candidate_id}\\\",\\n         },\\n     }\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
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            "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\"}"
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      "content": "{\"output\": \".....                                                                    [100%]\\n5 passed in 0.33s\", \"exit_code\": 0, \"error\": null}",
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      "role": "assistant",
      "content": "Backend Phase‑1.5 Unit-Tests sind grün. Ich verdrahte nun API/Review‑Filter und prüfe Frontend-Struktur.",
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      "finish_reason": "tool_calls",
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    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|<template>\\n     2|  <section class=\\\"space-y-6\\\">\\n     3|    <header>\\n     4|      <p class=\\\"text-xs uppercase tracking-[0.25em] text-cyan-400\\\">Ausgaben · Import Review</p>\\n     5|      <h1 class=\\\"mt-2 text-3xl font-semibold text-white\\\">Buchungskandidaten prüfen</h1>\\n     6|      <p class=\\\"mt-1 text-sm text-slate-400\\\">Dry Run / Review-Liste für kontrollierte Erstimporte. Produktive Buchung erst nach Confirm.</p>\\n     7|    </header>\\n     8|    <div v-if=\\\"message\\\" class=\\\"rounded-xl border border-emerald-500/40 bg-emerald-950/30 p-4 text-sm text-emerald-200\\\">{{ message }}</div>\\n     9|    <div v-if=\\\"error\\\" class=\\\"rounded-xl border border-red-500/40 bg-red-950/40 p-4 text-sm text-red-200\\\">{{ error }}</div>\\n    10|    <section class=\\\"rounded-2xl border border-slate-800 bg-slate-900/70 p-5\\\">\\n    11|      <div class=\\\"flex flex-wrap items-center gap-3\\\">\\n    12|        <select v-model=\\\"status\\\" class=\\\"rounded-lg border border-slate-700 bg-slate-950 px-3 py-2 text-sm text-white\\\"><option value=\\\"\\\">alle</option><option>pending</option><option>needs_review</option><option>duplicate</option><option>confirmed</option><option>ignored</option></select>\\n    13|        <button class=\\\"rounded-lg bg-cyan-500 px-4 py-2 text-sm font-semibold text-slate-950\\\" @click=\\\"load\\\">Aktualisieren</button>\\n    14|      </div>\\n    15|      <div class=\\\"mt-5 overflow-x-auto\\\">\\n    16|        <table class=\\\"min-w-full text-left text-sm text-slate-300\\\">\\n    17|          <thead class=\\\"text-xs uppercase tracking-wide text-slate-500\\\"><tr><th class=\\\"px-3 py-2\\\">Quelle</th><th class=\\\"px-3 py-2\\\">Beschreibung</th><th class=\\\"px-3 py-2\\\">Vorschlag</th><th class=\\\"px-3 py-2\\\">Status</th><th class=\\\"px-3 py-2\\\">Aktion</th></tr></thead>\\n    18|          <tbody>\\n    19|            <tr v-for=\\\"item in candidates\\\" :key=\\\"item.transaction_candidate_id\\\" class=\\\"border-t border-slate-800\\\">\\n    20|              <td class=\\\"px-3 py-2\\\">{{ item.source_file_label }}<small class=\\\"block text-slate-500\\\">{{ item.source_row_or_range }}</small></td>\\n    21|              <td class=\\\"px-3 py-2\\\">{{ item.transaction_date || '—' }} · {{ item.description }}<small class=\\\"block text-slate-500\\\">Betrag im UI sichtbar; im Chat nicht berichten.</small></td>\\n    22|              <td class=\\\"px-3 py-2\\\">{{ item.proposed_category_name || 'Review nötig' }}<small v-if=\\\"item.duplicate_of_transaction_id\\\" class=\\\"block text-red-300\\\">mögliches Duplikat</small></td>\\n    23|              <td class=\\\"px-3 py-2\\\">{{ item.status }}</td>\\n    24|              <td class=\\\"px-3 py-2 space-x-2\\\"><button class=\\\"rounded border border-emerald-500/60 px-2 py-1 text-xs text-emerald-200\\\" @click=\\\"confirmItem(item)\\\">Confirm</button><button class=\\\"rounded border border-slate-700 px-2 py-1 text-xs text-slate-300\\\" @click=\\\"ignoreItem(item.transaction_candidate_id)\\\">Ignorieren</button></td>\\n    25|            </tr>\\n    26|            <tr v-if=\\\"!candidates.length\\\"><td colspan=\\\"5\\\" class=\\\"px-3 py-6 text-center text-slate-500\\\">Keine Kandidaten.</td></tr>\\n    27|          </tbody>\\n    28|        </table>\\n    29|      </div>\\n    30|    </section>\\n    31|  </section>\\n    32|</template>\\n    33|<script setup lang=\\\"ts\\\">\\n    34|import { onMounted, ref } from 'vue'\\n    35|import { confirmBudgetTransactionCandidate, getBudgetTransactionCandidates, ignoreBudgetTransactionCandidate, type BudgetTransactionCandidate } from '@/api/budget'\\n    36|const candidates = ref<BudgetTransactionCandidate[]>([])\\n    37|const status = ref('')\\n    38|const error = ref('')\\n    39|const message = ref('')\\n    40|async function load() { candidates.value = await getBudgetTransactionCandidates(status.value) }\\n    41|async function confirmItem(item: BudgetTransactionCandidate) {\\n    42|  if (!item.proposed_category_id) { error.value = 'Kategorie fehlt; bitte zuerst zuordnen.'; return }\\n    43|  await confirmBudgetTransactionCandidate(item.transaction_candidate_id, { category_id: item.proposed_category_id, transaction_type: 'expense' })\\n    44|  message.value = 'Buchungskandidat bestätigt und auditiert.'; await load()\\n    45|}\\n    46|async function ignoreItem(id: string) { await ignoreBudgetTransactionCandidate(id, 'User review ignored'); message.value = 'Kandidat ignoriert und auditiert.'; await load() }\\n    47|onMounted(async () => { try { await load() } catch (e) { error.value = e instanceof Error ? e.message : 'Import Review nicht verfügbar' } })\\n    48|</script>\\n    49|\", \"total_lines\": 48, \"file_size\": 4057, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_bFMwwUutBdB6GiDdPwmK1hTo"
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from fastapi import APIRouter, Depends\\n     4|from sqlite3 import Connection\\n     5|\\n     6|from jarvis_finance.api.dependencies import get_db\\n     7|from jarvis_finance.services.budget_accounts import archive_budget_account, confirm_create_budget_account, create_budget_account_preview, list_budget_accounts\\n     8|from jarvis_finance.services.budget_categories import (\\n     9|    archive_category,\\n    10|    archive_tag,\\n    11|    confirm_create_category,\\n    12|    confirm_create_tag,\\n    13|    create_category_preview,\\n    14|    create_tag_preview,\\n    15|    list_categories,\\n    16|    list_tags,\\n    17|    update_category,\\n    18|)\\n    19|from jarvis_finance.services.budget_imports import (\\n    20|    confirm_transaction_candidate,\\n    21|    ignore_transaction_candidate,\\n    22|    list_transaction_candidates,\\n    23|    preview_transaction_candidate,\\n    24|    seed_transaction_candidates_from_csv_text,\\n    25|    seed_transaction_candidates_from_rows,\\n    26|)\\n    27|from jarvis_finance.services.budget_overview import get_budget_overview, get_budget_status_by_category, get_category_summary, get_income_status, get_monthly_summary\\n    28|from jarvis_finance.services.budget_plans import confirm_budget_plan_item, create_budget_plan_item_preview, list_budget_plan_items\\n    29|from jarvis_finance.services.budget_seed_review import (\\n    30|    confirm_budget_plan_takeover,\\n    31|    confirm_clear_category_takeover,\\n    32|    confirm_seed_candidate,\\n    33|    convert_unclean_range,\\n    34|    ignore_seed_candidate,\\n    35|    list_seed_candidates,\\n    36|    preview_budget_plan_takeover,\\n    37|    preview_clear_category_takeover,\\n    38|    preview_seed_candidate,\\n    39|    reopen_seed_candidate,\\n    40|    seed_budget_candidates_from_rows,\\n    41|    set_seed_candidate_status,\\n    42|)\\n    43|from jarvis_finance.services.budget_transactions import (\\n    44|    confirm_budget_transaction,\\n    45|    confirm_reverse_budget_transaction,\\n    46|    confirm_transfer,\\n    47|    create_budget_transaction_preview,\\n    48|    create_transfer_preview,\\n    49|    list_budget_transactions,\\n    50|    reverse_budget_transaction_preview,\\n    51|    update_budget_transaction,\\n    52|)\\n    53|\\n    54|router = APIRouter(prefix=\\\"/budget\\\", tags=[\\\"budget\\\"])\\n    55|\\n    56|\\n    57|@router.get(\\\"/overview\\\")\\n    58|def overview(month: str | None = None, conn: Connection = Depends(get_db)):\\n    59|    return get_budget_overview(conn, month)\\n    60|\\n    61|\\n    62|@router.get(\\\"/status/categories\\\")\\n    63|def category_budget_status(year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n    64|    return get_budget_status_by_category(conn, year=year)\\n    65|\\n    66|\\n    67|@router.get(\\\"/income/status\\\")\\n    68|def income_budget_status(year: str = \\\"2026\\\", conn: Connection = Depends(get_db)):\\n    69|    return get_income_status(conn, year=year)\\n    70|\\n    71|\\n    72|@router.get(\\\"/monthly-summary\\\")\\n    73|def monthly_summary(month: str | None = None, conn: Connection = Depends(get_db)):\\n    74|    return get_monthly_summary(conn, month)\\n    75|\\n    76|\\n    77|@router.get(\\\"/categories/summary\\\")\\n    78|def categories_summary(month: str | None = None, conn: Connection = Depends(get_db)):\\n    79|    return get_category_summary(conn, month)\\n    80|\\n    81|\\n    82|@router.get(\\\"/accounts\\\")\\n    83|def accounts(include_archived: bool = True, conn: Connection = Depends(get_db)):\\n    84|    return list_budget_accounts(conn, include_archived=include_archived)\\n    85|\\n    86|\\n    87|@router.post(\\\"/accounts/preview\\\")\\n    88|def accounts_preview(payload: dict, conn: Connection = Depends(get_db)):\\n    89|    return create_budget_account_preview(conn, payload)\\n    90|\\n    91|\\n    92|@router.post(\\\"/accounts/confirm\\\")\\n    93|def accounts_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n    94|    return confirm_create_budget_account(conn, payload)\\n    95|\\n    96|\\n    97|@router.post(\\\"/accounts/{account_id}/archive\\\")\\n    98|def accounts_archive(account_id: str, conn: Connection = Depends(get_db)):\\n    99|    return archive_budget_account(conn, account_id)\\n   100|\\n   101|\\n   102|@router.get(\\\"/categories\\\")\\n   103|def categories(include_archived: bool = False, conn: Connection = Depends(get_db)):\\n   104|    return list_categories(conn, include_archived=include_archived)\\n   105|\\n   106|\\n   107|@router.get(\\\"/tags\\\")\\n   108|def tags(include_archived: bool = True, conn: Connection = Depends(get_db)):\\n   109|    return list_tags(conn, include_archived=include_archived)\\n   110|\\n   111|\\n   112|@router.post(\\\"/tags/preview\\\")\\n   113|def tags_preview(payload: dict, conn: Connection = Depends(get_db)):\\n   114|    return create_tag_preview(conn, payload)\\n   115|\\n   116|\\n   117|@router.post(\\\"/tags/confirm\\\")\\n   118|def tags_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n   119|    return confirm_create_tag(conn, payload)\\n   120|\\n   121|\\n   122|@router.post(\\\"/tags/{tag_id}/archive\\\")\\n   123|def tags_archive(tag_id: str, conn: Connection = Depends(get_db)):\\n   124|    return archive_tag(conn, tag_id)\\n   125|\\n   126|\\n   127|@router.get(\\\"/plans\\\")\\n   128|def plans(month: str | None = None, include_archived: bool = True, conn: Connection = Depends(get_db)):\\n   129|    return list_budget_plan_items(conn, month=month, include_archived=include_archived)\\n   130|\\n   131|\\n   132|@router.post(\\\"/plans/preview\\\")\\n   133|def plans_preview(payload: dict, conn: Connection = Depends(get_db)):\\n   134|    return create_budget_plan_item_preview(conn, payload)\\n   135|\\n   136|\\n   137|@router.post(\\\"/plans/confirm\\\")\\n   138|def plans_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n   139|    return confirm_budget_plan_item(conn, payload)\\n   140|\\n   141|\\n   142|@router.get(\\\"/seed-candidates\\\")\\n   143|def seed_candidates(status: str | None = None, candidate_type: str | None = None, conn: Connection = Depends(get_db)):\\n   144|    return list_seed_candidates(conn, status=status, candidate_type=candidate_type)\\n   145|\\n   146|\\n   147|@router.get(\\\"/transaction-candidates\\\")\\n   148|def transaction_candidates(status: str | None = None, conn: Connection = Depends(get_db)):\\n   149|    return list_transaction_candidates(conn, status=status)\\n   150|\\n   151|\\n   152|@router.post(\\\"/transaction-candidates/generate\\\")\\n   153|def transaction_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n   154|    if payload.get(\\\"csv_text\\\"):\\n   155|        return seed_transaction_candidates_from_csv_text(conn, payload[\\\"csv_text\\\"], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"CSV Import\\\", source_type=payload.get(\\\"source_type\\\") or \\\"csv_seed\\\")\\n   156|    return seed_transaction_candidates_from_rows(conn, payload.get(\\\"rows\\\") or [], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget Import\\\", source_type=payload.get(\\\"source_type\\\") or \\\"manual_seed\\\")\\n   157|\\n   158|\\n   159|@router.post(\\\"/transaction-candidates/{candidate_id}/preview\\\")\\n   160|def transaction_candidates_preview(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   161|    return preview_transaction_candidate(conn, candidate_id, payload or {})\\n   162|\\n   163|\\n   164|@router.post(\\\"/transaction-candidates/{candidate_id}/confirm\\\")\\n   165|def transaction_candidates_confirm(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   166|    return confirm_transaction_candidate(conn, candidate_id, payload)\\n   167|\\n   168|\\n   169|@router.post(\\\"/transaction-candidates/{candidate_id}/ignore\\\")\\n   170|def transaction_candidates_ignore(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   171|    return ignore_transaction_candidate(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n   172|\\n   173|\\n   174|@router.post(\\\"/seed-candidates/generate\\\")\\n   175|def seed_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n   176|    return seed_budget_candidates_from_rows(conn, payload.get(\\\"workbook_rows\\\") or {}, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget workbook\\\")\\n   177|\\n   178|\\n   179|@router.post(\\\"/seed-candidates/{seed_candidate_id}/preview\\\")\\n   180|def seed_candidates_preview(seed_candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   181|    return preview_seed_candidate(conn, seed_candidate_id, payload or {})\\n   182|\\n   183|\\n   184|@router.post(\\\"/seed-candidates/{seed_candidate_id}/confirm\\\")\\n   185|def seed_candidates_confirm(seed_candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   186|    return confirm_seed_candidate(conn, seed_candidate_id, payload)\\n   187|\\n   188|\\n   189|@router.post(\\\"/seed-candidates/{seed_candidate_id}/ignore\\\")\\n   190|def seed_candidates_ignore(seed_candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   191|    return ignore_seed_candidate(conn, seed_candidate_id, (payload or {}).get(\\\"note\\\"))\\n   192|\\n   193|\\n   194|@router.post(\\\"/seed-candidates/{seed_candidate_id}/reopen\\\")\\n   195|def seed_candidates_reopen(seed_candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n   196|    return reopen_seed_candidate(conn, seed_candidate_id, (payload or {}).get(\\\"note\\\"))\\n   197|\\n   198|\\n   199|@router.post(\\\"/seed-candidates/{seed_candidate_id}/status\\\")\\n   200|def seed_candidates_status(seed_candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   201|    return set_seed_candidate_status(conn, seed_candidate_id, payload.get(\\\"status\\\"), payload.get(\\\"note\\\"))\\n   202|\\n   203|\\n   204|@router.post(\\\"/seed-candidates/{seed_candidate_id}/convert-unclean\\\")\\n   205|def seed_candidates_convert_unclean(seed_candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   206|    return convert_unclean_range(conn, seed_candidate_id, payload.get(\\\"target_type\\\"), payload)\\n   207|\\n   208|\\n   209|@router.post(\\\"/seed-candidates/categories/preview-clear-takeover\\\")\\n   210|def seed_candidates_categories_preview_clear_takeover(conn: Connection = Depends(get_db)):\\n   211|    return preview_clear_category_takeover(conn)\\n   212|\\n   213|\\n   214|@router.post(\\\"/seed-candidates/categories/confirm-clear-takeover\\\")\\n   215|def seed_candidates_categories_confirm_clear_takeover(conn: Connection = Depends(get_db)):\\n   216|    return confirm_clear_category_takeover(conn)\\n   217|\\n   218|\\n   219|@router.post(\\\"/seed-candidates/budget-plans/preview-takeover\\\")\\n   220|def seed_candidates_budget_plans_preview_takeover(conn: Connection = Depends(get_db)):\\n   221|    return preview_budget_plan_takeover(conn)\\n   222|\\n   223|\\n   224|@router.post(\\\"/seed-candidates/budget-plans/confirm-takeover\\\")\\n   225|def seed_candidates_budget_plans_confirm_takeover(conn: Connection = Depends(get_db)):\\n   226|    return confirm_budget_plan_takeover(conn)\\n   227|\\n   228|\\n   229|@router.post(\\\"/categories/preview\\\")\\n   230|def categories_preview(payload: dict, conn: Connection = Depends(get_db)):\\n   231|    return create_category_preview(conn, payload)\\n   232|\\n   233|\\n   234|@router.post(\\\"/categories/confirm\\\")\\n   235|def categories_confirm(payload: dict, conn: Connection = Depends(get_db)):\\n   236|    return confirm_create_category(conn, payload)\\n   237|\\n   238|\\n   239|@router.post(\\\"/categories/{category_id}/update\\\")\\n   240|def categories_update(category_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n   241|    return update_category(conn, category_id, payload)\\n   242|\\n   243|\\n   244|@router.post(\\\"/categories/{category_id}/archive\\\")\\n   245|def categories_archive(category_id: str, conn: Connection = Depends(get_db)):\\n   246|    return archive_category(conn, category_id)\\n   247|\\n   248|\\n   249|@router.get(\\\"/transactions\\\")\\n   250|def transactions(month: str | None = None, account_id: str | None = None, category_id: str | None = None, transaction_type: str | None = None, merchant: str | None = None, tag: str | None = None, status: str | None = None, conn: Connection = 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      "content": "{\"content\": \"     1|import { apiGet, apiPost } from './client'\\n     2|\\n     3|export type BudgetAccount = { budget_account_id: string; name: string; account_type: string; currency: string; is_active: boolean; linked_account_id?: string | null; archived_at?: string | null; notes?: string | null }\\n     4|export type BudgetCategory = { category_id: string; parent_category_id?: string | null; name: string; category_type: string; is_active: boolean; color?: string | null; icon?: string | null; children?: BudgetCategory[] }\\n     5|export type BudgetTag = { tag_id: string; name: string; color?: string | null; is_active: boolean }\\n     6|export type BudgetTransaction = { budget_transaction_id: string; account_id?: string; account_name?: string; category_name?: string | null; transaction_date: string; transaction_type: string; description: string; amount_original: string; currency_original: string; amount_chf?: string | null; fx_status?: string; status: string }\\n     7|export type BudgetPreview = { preview_id: string; summary: string; fx_status?: string; warnings: string[]; payload: Record<string, unknown> }\\n     8|export type BudgetConfirm = { status: string; entity_id: string; audit_id: string; message: string }\\n     9|export type BudgetSeedCandidate = {\\n    10|  seed_candidate_id: string\\n    11|  source_file_label?: string\\n    12|  source_sheet: string\\n    13|  source_row_or_range?: string | null\\n    14|  candidate_type: 'category' | 'budget_plan' | 'recurring_candidate' | 'unclean_range'\\n    15|  source_label?: string | null\\n    16|  proposed_category_id?: string | null\\n    17|  proposed_parent_label?: string | null\\n    18|  proposed_name?: string | null\\n    19|  proposed_period_type?: string | null\\n    20|  proposed_amount_text?: string | null\\n    21|  currency?: string | null\\n    22|  confidence: string\\n    23|  requires_review: boolean\\n    24|  status: string\\n    25|  notes?: string | null\\n    26|}\\n    27|export type BudgetSeedSummary = { category_candidate_count: number; budget_plan_candidate_count: number; recurring_candidate_count: number; unclean_range_count: number; current_budget_sheet?: string }\\n    28|export type BudgetStatusRow = { category_id: string; category: string; category_type: string; budget_month: string; budget_year: string; actual_year_to_date: string; actual_avg_month: string; forecast_year: string; forecast_avg_month: string; deviation_year: string; deviation_month: string; status: string; months_with_bookings: number; plan_names?: string[] }\\n    29|export type BudgetTransactionCandidate = { transaction_candidate_id: string; source_file_label: string; source_row_or_range?: string | null; source_type: string; transaction_date?: string | null; description: string; merchant?: string | null; amount_original?: string | null; currency_original: string; proposed_category_id?: string | null; proposed_category_name?: string | null; duplicate_of_transaction_id?: string | null; confidence: string; requires_review: boolean; status: string; notes?: string | null }\\n    30|export type BudgetOverview = { current_month: string; income_chf: string; expense_chf: string; net_cashflow_chf: string; review_count: number; uncategorized_count: number; pending_seed_candidate_count?: number; pending_transaction_candidate_count?: number; planned_income_chf?: string; planned_expense_chf?: string; planned_net_chf?: string; actual_income_chf?: string; actual_expense_chf: string; actual_net_chf?: string; actuals_label?: string; open_categories_without_actuals?: number; planned_budget_chf: string; remaining_budget_chf: string; budget_status: string; budget_categories: BudgetStatusRow[]; uncategorized_transactions: BudgetTransaction[]; top_categories: Array<{ category_id?: string; category_name: string; amount_chf: string; transaction_count?: number }>; recent_transactions: BudgetTransaction[] }\\n    31|\\n    32|export const getBudgetOverview = () => apiGet<BudgetOverview>('/api/budget/overview')\\n    33|export const getBudgetStatusByCategory = (year = '2026') => apiGet<BudgetStatusRow[]>(`/api/budget/status/categories?year=${year}`)\\n    34|export const getIncomeStatus = (year = '2026') => apiGet<Record<string, unknown>>(`/api/budget/income/status?year=${year}`)\\n    35|export const getBudgetTransactions = (query = '') => apiGet<BudgetTransaction[]>(`/api/budget/transactions${query}`)\\n    36|export const getBudgetAccounts = () => apiGet<BudgetAccount[]>('/api/budget/accounts')\\n    37|export const getBudgetCategories = () => apiGet<BudgetCategory[]>('/api/budget/categories')\\n    38|export const getBudgetTags = () => apiGet<BudgetTag[]>('/api/budget/tags')\\n    39|export const previewBudgetTransaction = (body: unknown) => apiPost<BudgetPreview>('/api/budget/transactions/preview', body)\\n    40|export const confirmBudgetTransaction = (body: unknown) => apiPost<BudgetConfirm>('/api/budget/transactions/confirm', body)\\n    41|export const updateBudgetTransaction = (id: string, body: unknown) => apiPost<BudgetConfirm>(`/api/budget/transactions/${id}/update`, body)\\n    42|export const previewBudgetTransfer = (body: unknown) => apiPost<BudgetPreview>('/api/budget/transfers/preview', body)\\n    43|export const confirmBudgetTransfer = (body: unknown) => apiPost<BudgetConfirm>('/api/budget/transfers/confirm', body)\\n    44|export const previewBudgetAccount = (body: unknown) => apiPost<BudgetPreview>('/api/budget/accounts/preview', body)\\n    45|export const confirmBudgetAccount = (body: unknown) => apiPost<BudgetConfirm>('/api/budget/accounts/confirm', body)\\n    46|export const archiveBudgetAccount = (id: string) => apiPost<BudgetConfirm>(`/api/budget/accounts/${id}/archive`, {})\\n    47|export const previewBudgetCategory = (body: unknown) => apiPost<BudgetPreview>('/api/budget/categories/preview', body)\\n    48|export const confirmBudgetCategory = (body: unknown) => apiPost<BudgetConfirm>('/api/budget/categories/confirm', body)\\n    49|export const updateBudgetCategory = (id: string, body: unknown) => apiPost<BudgetConfirm>(`/api/budget/categories/${id}/update`, body)\\n    50|export const archiveBudgetCategory = (id: string) => apiPost<BudgetConfirm>(`/api/budget/categories/${id}/archive`, {})\\n    51|export const previewBudgetTag = (body: unknown) => apiPost<BudgetPreview>('/api/budget/tags/preview', body)\\n    52|export const confirmBudgetTag = (body: unknown) => apiPost<BudgetConfirm>('/api/budget/tags/confirm', body)\\n    53|export const archiveBudgetTag = (id: string) => apiPost<BudgetConfirm>(`/api/budget/tags/${id}/archive`, {})\\n    54|export const getBudgetSeedCandidates = () => apiGet<BudgetSeedCandidate[]>('/api/budget/seed-candidates')\\n    55|export const generateBudgetSeedCandidates = (body: unknown) => apiPost<BudgetSeedSummary>('/api/budget/seed-candidates/generate', body)\\n    56|export const previewBudgetSeedCandidate = (id: string, body: unknown) => apiPost<BudgetPreview>(`/api/budget/seed-candidates/${id}/preview`, body)\\n    57|export const confirmBudgetSeedCandidate = (id: string, body: unknown) => apiPost<BudgetConfirm>(`/api/budget/seed-candidates/${id}/confirm`, body)\\n    58|export const ignoreBudgetSeedCandidate = (id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/seed-candidates/${id}/ignore`, { note })\\n    59|export const reopenBudgetSeedCandidate = (id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/seed-candidates/${id}/reopen`, { note })\\n    60|export const setBudgetSeedCandidateStatus = (id: string, status: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/seed-candidates/${id}/status`, { status, note })\\n    61|export const convertBudgetUncleanRange = (id: string, body: unknown) => apiPost<BudgetConfirm>(`/api/budget/seed-candidates/${id}/convert-unclean`, body)\\n    62|export const previewClearBudgetCategoriesTakeover = () => apiPost<{ preview_id: string; summary: string; count: number; categories: Array<Record<string, unknown>>; warnings: string[] }>('/api/budget/seed-candidates/categories/preview-clear-takeover', {})\\n    63|export const confirmClearBudgetCategoriesTakeover = () => apiPost<BudgetConfirm & { confirmed_count: number; skipped_count: number }>('/api/budget/seed-candidates/categories/confirm-clear-takeover', {})\\n    64|export const previewBudgetPlanTakeover = () => apiPost<{ preview_id: string; summary: string; count: number; budget_plans: Array<Record<string, unknown>>; warnings: string[] }>('/api/budget/seed-candidates/budget-plans/preview-takeover', {})\\n    65|export const confirmBudgetPlanTakeover = () => apiPost<BudgetConfirm & { confirmed_count: number; skipped_count: number }>('/api/budget/seed-candidates/budget-plans/confirm-takeover', {})\\n    66|export const getBudgetTransactionCandidates = (status = '') => apiGet<BudgetTransactionCandidate[]>(`/api/budget/transaction-candidates${status ? `?status=${status}` : ''}`)\\n    67|export const generateBudgetTransactionCandidates = (body: unknown) => apiPost<Record<string, number>>('/api/budget/transaction-candidates/generate', body)\\n    68|export const previewBudgetTransactionCandidate = (id: string, body: unknown) => apiPost<BudgetPreview>(`/api/budget/transaction-candidates/${id}/preview`, body)\\n    69|export const confirmBudgetTransactionCandidate = (id: string, body: unknown) => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/confirm`, body)\\n    70|export const ignoreBudgetTransactionCandidate = (id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/ignore`, { note })\\n    71|\", \"total_lines\": 70, \"file_size\": 8985, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "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!",
      "finish_reason": "tool_calls",
      "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": [
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          "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!"
            }
          ]
        }
      ],
      "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_transaction_candidates_from_csv_text,\\n    seed_transaction_candidates_from_rows,\\n)\\n\",\"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_transaction_candidates,\\n    mark_candidate_transfer,\\n    preview_transaction_candidate,\\n    seed_bank_transfer_candidates_from_rows,\\n    seed_credit_card_candidates_from_rows,\\n    seed_migros_candidates_from_rows,\\n    seed_transaction_candidates_from_csv_text,\\n    seed_transaction_candidates_from_rows,\\n    update_transaction_candidate_category,\\n)\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\\n@@ -17,12 +17,19 @@\\n     update_category,\\n )\\n 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_transaction_candidates,\\n+    mark_candidate_transfer,\\n     preview_transaction_candidate,\\n+    seed_bank_transfer_candidates_from_rows,\\n+    seed_credit_card_candidates_from_rows,\\n+    seed_migros_candidates_from_rows,\\n     seed_transaction_candidates_from_csv_text,\\n     seed_transaction_candidates_from_rows,\\n+    update_transaction_candidate_category,\\n )\\n from jarvis_finance.services.budget_overview import get_budget_overview, get_budget_status_by_category, get_category_summary, get_income_status, get_monthly_summary\\n from jarvis_finance.services.budget_plans import confirm_budget_plan_item, create_budget_plan_item_preview, list_budget_plan_items\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}",
      "tool_call_id": "call_pK9NYPMYJku2HpA9y1edlKIh"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "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, status=status, tab=tab)\\n\\n\\n@router.post(\\\"/transaction-candidates/generate\\\")\\ndef transaction_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n    source_type = payload.get(\\\"source_type\\\") or \\\"csv_seed\\\"\\n    rows = payload.get(\\\"rows\\\") or []\\n    if source_type == \\\"credit_card_csv\\\":\\n        return seed_credit_card_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Credit card CSV\\\", subscription_category_id=payload.get(\\\"subscription_category_id\\\"), migros_covered=payload.get(\\\"migros_covered\\\", True))\\n    if source_type == \\\"migros_csv\\\":\\n        return seed_migros_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Migros CSV\\\", auto_category_id=payload.get(\\\"auto_category_id\\\"), threshold_chf=str(payload.get(\\\"threshold_chf\\\") or \\\"50.00\\\"))\\n    if source_type == \\\"bank_csv\\\":\\n        return seed_bank_transfer_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Bank CSV\\\", income_category_id=payload.get(\\\"income_category_id\\\"))\\n    if payload.get(\\\"csv_text\\\"):\\n        return seed_transaction_candidates_from_csv_text(conn, payload[\\\"csv_text\\\"], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"CSV Import\\\", source_type=source_type)\\n    return seed_transaction_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget Import\\\", source_type=source_type)\\n\",\"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.post(\\\"/transaction-candidates/generate\\\")\\ndef transaction_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n    if payload.get(\\\"csv_text\\\"):\\n        return seed_transaction_candidates_from_csv_text(conn, payload[\\\"csv_text\\\"], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"CSV Import\\\", source_type=payload.get(\\\"source_type\\\") or \\\"csv_seed\\\")\\n    return seed_transaction_candidates_from_rows(conn, payload.get(\\\"rows\\\") or [], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget Import\\\", source_type=payload.get(\\\"source_type\\\") or \\\"manual_seed\\\")\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\\n@@ -152,15 +152,23 @@\\n \\n \\n @router.get(\\\"/transaction-candidates\\\")\\n-def transaction_candidates(status: str | None = None, conn: Connection = Depends(get_db)):\\n-    return list_transaction_candidates(conn, status=status)\\n+def transaction_candidates(status: str | None = None, tab: str | None = None, conn: Connection = Depends(get_db)):\\n+    return list_transaction_candidates(conn, status=status, tab=tab)\\n \\n \\n @router.post(\\\"/transaction-candidates/generate\\\")\\n def transaction_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n+    source_type = payload.get(\\\"source_type\\\") or \\\"csv_seed\\\"\\n+    rows = payload.get(\\\"rows\\\") or []\\n+    if source_type == \\\"credit_card_csv\\\":\\n+        return seed_credit_card_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Credit card CSV\\\", subscription_category_id=payload.get(\\\"subscription_category_id\\\"), migros_covered=payload.get(\\\"migros_covered\\\", True))\\n+    if source_type == \\\"migros_csv\\\":\\n+        return seed_migros_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Migros CSV\\\", auto_category_id=payload.get(\\\"auto_category_id\\\"), threshold_chf=str(payload.get(\\\"threshold_chf\\\") or \\\"50.00\\\"))\\n+    if source_type == \\\"bank_csv\\\":\\n+        return seed_bank_transfer_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Bank CSV\\\", income_category_id=payload.get(\\\"income_category_id\\\"))\\n     if payload.get(\\\"csv_text\\\"):\\n-        return seed_transaction_candidates_from_csv_text(conn, payload[\\\"csv_text\\\"], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"CSV Import\\\", source_type=payload.get(\\\"source_type\\\") or \\\"csv_seed\\\")\\n-    return seed_transaction_candidates_from_rows(conn, payload.get(\\\"rows\\\") or [], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget Import\\\", source_type=payload.get(\\\"source_type\\\") or \\\"manual_seed\\\")\\n+        return seed_transaction_candidates_from_csv_text(conn, payload[\\\"csv_text\\\"], source_file_label=payload.get(\\\"source_file_label\\\") or \\\"CSV Import\\\", source_type=source_type)\\n+    return seed_transaction_candidates_from_rows(conn, rows, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget Import\\\", source_type=source_type)\\n \\n \\n @router.post(\\\"/transaction-candidates/{candidate_id}/preview\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_qQsMLoDcqkeojs2YV1gL2MPW"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "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_transaction_candidate(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n\\n\\n@router.post(\\\"/transaction-candidates/{candidate_id}/category\\\")\\ndef transaction_candidates_category(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n    return update_transaction_candidate_category(conn, candidate_id, payload.get(\\\"category_id\\\"), payload.get(\\\"note\\\"))\\n\\n\\n@router.post(\\\"/transaction-candidates/{candidate_id}/split\\\")\\ndef transaction_candidates_split(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n    return create_candidate_split(conn, candidate_id, payload.get(\\\"splits\\\") or [])\\n\\n\\n@router.post(\\\"/transaction-candidates/{candidate_id}/transfer\\\")\\ndef transaction_candidates_transfer(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n    return mark_candidate_transfer(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n\\n\\n@router.post(\\\"/transaction-candidates/batch-confirm-safe\\\")\\ndef transaction_candidates_batch_confirm_safe(payload: dict, conn: Connection = Depends(get_db)):\\n    return batch_confirm_safe_candidates(conn, account_id=payload.get(\\\"account_id\\\"), candidate_ids=payload.get(\\\"candidate_ids\\\") or [])\\n\\n\\n@router.post(\\\"/seed-candidates/generate\\\")\\n\",\"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_transaction_candidate(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n\\n\\n@router.post(\\\"/seed-candidates/generate\\\")\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\\n@@ -186,6 +186,26 @@\\n     return ignore_transaction_candidate(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n \\n \\n+@router.post(\\\"/transaction-candidates/{candidate_id}/category\\\")\\n+def transaction_candidates_category(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n+    return update_transaction_candidate_category(conn, candidate_id, payload.get(\\\"category_id\\\"), payload.get(\\\"note\\\"))\\n+\\n+\\n+@router.post(\\\"/transaction-candidates/{candidate_id}/split\\\")\\n+def transaction_candidates_split(candidate_id: str, payload: dict, conn: Connection = Depends(get_db)):\\n+    return create_candidate_split(conn, candidate_id, payload.get(\\\"splits\\\") or [])\\n+\\n+\\n+@router.post(\\\"/transaction-candidates/{candidate_id}/transfer\\\")\\n+def transaction_candidates_transfer(candidate_id: str, payload: dict | None = None, conn: Connection = Depends(get_db)):\\n+    return mark_candidate_transfer(conn, candidate_id, (payload or {}).get(\\\"note\\\"))\\n+\\n+\\n+@router.post(\\\"/transaction-candidates/batch-confirm-safe\\\")\\n+def transaction_candidates_batch_confirm_safe(payload: dict, conn: Connection = Depends(get_db)):\\n+    return batch_confirm_safe_candidates(conn, account_id=payload.get(\\\"account_id\\\"), candidate_ids=payload.get(\\\"candidate_ids\\\") or [])\\n+\\n+\\n @router.post(\\\"/seed-candidates/generate\\\")\\n def seed_candidates_generate(payload: dict, conn: Connection = Depends(get_db)):\\n     return seed_budget_candidates_from_rows(conn, payload.get(\\\"workbook_rows\\\") or {}, source_file_label=payload.get(\\\"source_file_label\\\") or \\\"Budget workbook\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/api/routers/budget.py\\\">\\nERROR [191:70] Argument of type \\\"Unknown | None\\\" cannot be assigned to parameter \\\"category_id\\\" of type \\\"str\\\" in function \\\"update_transaction_candidate_category\\\"\\n  Type \\\"Unknown | None\\\" is not assignable to type \\\"str\\\"\\n    \\\"None\\\" is not assignable to \\\"str\\\" [reportArgumentType] (Pyright)\\nERROR [206:59] Argument of type \\\"Unknown | None\\\" cannot be assigned to parameter \\\"account_id\\\" of type \\\"str\\\" in function \\\"batch_confirm_safe_candidates\\\"\\n  Type \\\"Unknown | None\\\" is not assignable to type \\\"str\\\"\\n    \\\"None\\\" is not assignable to \\\"str\\\" [reportArgumentType] (Pyright)\\n</diagnostics>\"}",
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    {
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      "finish_reason": "tool_calls",
      "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!",
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            {
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      "role": "tool",
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      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts\\n+++ b//home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts\\n@@ -26,7 +26,7 @@\\n }\\n export type BudgetSeedSummary = { category_candidate_count: number; budget_plan_candidate_count: number; recurring_candidate_count: number; unclean_range_count: number; current_budget_sheet?: string }\\n export type BudgetStatusRow = { category_id: string; category: string; category_type: string; budget_month: string; budget_year: string; actual_year_to_date: string; actual_avg_month: string; forecast_year: string; forecast_avg_month: string; deviation_year: string; deviation_month: string; status: string; months_with_bookings: number; plan_names?: string[] }\\n-export type BudgetTransactionCandidate = { transaction_candidate_id: string; source_file_label: string; source_row_or_range?: string | null; source_type: string; transaction_date?: string | null; description: string; merchant?: string | null; amount_original?: string | null; currency_original: string; proposed_category_id?: string | null; proposed_category_name?: string | null; duplicate_of_transaction_id?: string | null; confidence: string; requires_review: boolean; status: string; notes?: string | null }\\n+export type BudgetTransactionCandidate = { transaction_candidate_id: string; source_file_label: string; source_row_or_range?: string | null; source_type: string; transaction_date?: string | null; description: string; merchant?: string | null; amount_original?: string | null; currency_original: string; proposed_category_id?: string | null; proposed_category_name?: string | null; duplicate_of_transaction_id?: string | null; confidence: string; requires_review: boolean; status: string; notes?: string | null; classification?: string | null; review_reason?: string | null; account_source?: string | null; covered_by_source?: string | null }\\n export type BudgetOverview = { current_month: string; income_chf: string; expense_chf: string; net_cashflow_chf: string; review_count: number; uncategorized_count: number; pending_seed_candidate_count?: number; pending_transaction_candidate_count?: number; planned_income_chf?: string; planned_expense_chf?: string; planned_net_chf?: string; actual_income_chf?: string; actual_expense_chf: string; actual_net_chf?: string; actuals_label?: string; open_categories_without_actuals?: number; planned_budget_chf: string; remaining_budget_chf: string; budget_status: string; budget_categories: BudgetStatusRow[]; uncategorized_transactions: BudgetTransaction[]; top_categories: Array<{ category_id?: string; category_name: string; amount_chf: string; transaction_count?: number }>; recent_transactions: BudgetTransaction[] }\\n \\n export const getBudgetOverview = () => apiGet<BudgetOverview>('/api/budget/overview')\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts\"], \"lint\": {\"status\": \"skipped\", \"message\": \"npx not usable: This is not the tsc command you are looking for\"}}",
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            "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 qs = params.toString()\\n  return apiGet<BudgetTransactionCandidate[]>(`/api/budget/transaction-candidates${qs ? `?${qs}` : ''}`)\\n}\\nexport const generateBudgetTransactionCandidates = (body: unknown) => apiPost<Record<string, number>>('/api/budget/transaction-candidates/generate', body)\\nexport const previewBudgetTransactionCandidate = (id: string, body: unknown) => apiPost<BudgetPreview>(`/api/budget/transaction-candidates/${id}/preview`, body)\\nexport const confirmBudgetTransactionCandidate = (id: string, body: unknown) => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/confirm`, body)\\nexport const ignoreBudgetTransactionCandidate = (id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/ignore`, { note })\\nexport const updateBudgetTransactionCandidateCategory = (id: string, category_id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/category`, { category_id, note })\\nexport const splitBudgetTransactionCandidate = (id: string, splits: unknown[]) => apiPost<BudgetConfirm & { split_count: number }>(`/api/budget/transaction-candidates/${id}/split`, { splits })\\nexport const markBudgetTransactionCandidateTransfer = (id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/transfer`, { note })\\nexport const batchConfirmSafeBudgetTransactionCandidates = (account_id: string, candidate_ids: string[]) => apiPost<{ confirmed_count: number; skipped_count: number }>('/api/budget/transaction-candidates/batch-confirm-safe', { account_id, candidate_ids })\\n\",\"old_string\":\"export const getBudgetTransactionCandidates = (status = '') => apiGet<BudgetTransactionCandidate[]>(`/api/budget/transaction-candidates${status ? `?status=${status}` : ''}`)\\nexport const generateBudgetTransactionCandidates = (body: unknown) => apiPost<Record<string, number>>('/api/budget/transaction-candidates/generate', body)\\nexport const previewBudgetTransactionCandidate = (id: string, body: unknown) => apiPost<BudgetPreview>(`/api/budget/transaction-candidates/${id}/preview`, body)\\nexport const confirmBudgetTransactionCandidate = (id: string, body: unknown) => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/confirm`, body)\\nexport const ignoreBudgetTransactionCandidate = (id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/ignore`, { note })\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts\"}"
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      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts\\n+++ b//home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts\\n@@ -63,8 +63,18 @@\\n export const confirmClearBudgetCategoriesTakeover = () => apiPost<BudgetConfirm & { confirmed_count: number; skipped_count: number }>('/api/budget/seed-candidates/categories/confirm-clear-takeover', {})\\n export const previewBudgetPlanTakeover = () => apiPost<{ preview_id: string; summary: string; count: number; budget_plans: Array<Record<string, unknown>>; warnings: string[] }>('/api/budget/seed-candidates/budget-plans/preview-takeover', {})\\n export const confirmBudgetPlanTakeover = () => apiPost<BudgetConfirm & { confirmed_count: number; skipped_count: number }>('/api/budget/seed-candidates/budget-plans/confirm-takeover', {})\\n-export const getBudgetTransactionCandidates = (status = '') => apiGet<BudgetTransactionCandidate[]>(`/api/budget/transaction-candidates${status ? `?status=${status}` : ''}`)\\n+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 qs = params.toString()\\n+  return apiGet<BudgetTransactionCandidate[]>(`/api/budget/transaction-candidates${qs ? `?${qs}` : ''}`)\\n+}\\n export const generateBudgetTransactionCandidates = (body: unknown) => apiPost<Record<string, number>>('/api/budget/transaction-candidates/generate', body)\\n export const previewBudgetTransactionCandidate = (id: string, body: unknown) => apiPost<BudgetPreview>(`/api/budget/transaction-candidates/${id}/preview`, body)\\n export const confirmBudgetTransactionCandidate = (id: string, body: unknown) => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/confirm`, body)\\n export const ignoreBudgetTransactionCandidate = (id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/ignore`, { note })\\n+export const updateBudgetTransactionCandidateCategory = (id: string, category_id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/category`, { category_id, note })\\n+export const splitBudgetTransactionCandidate = (id: string, splits: unknown[]) => apiPost<BudgetConfirm & { split_count: number }>(`/api/budget/transaction-candidates/${id}/split`, { splits })\\n+export const markBudgetTransactionCandidateTransfer = (id: string, note = '') => apiPost<BudgetConfirm>(`/api/budget/transaction-candidates/${id}/transfer`, { note })\\n+export const batchConfirmSafeBudgetTransactionCandidates = (account_id: string, candidate_ids: string[]) => apiPost<{ confirmed_count: number; skipped_count: number }>('/api/budget/transaction-candidates/batch-confirm-safe', { account_id, candidate_ids })\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/frontend/src/api/budget.ts\"], \"lint\": {\"status\": \"skipped\", \"message\": \"npx not usable: This is not the tsc command you are looking for\"}}",
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'border-cyan-400 bg-cyan-400/10 text-cyan-200' : 'border-slate-700 text-slate-400'\\\" @click=\\\"setTab(tab.key)\\\">{{ tab.label }}</button>\\n      </div>\\n      <div class=\\\"mt-4 flex flex-wrap items-center gap-3\\\">\\n        <select v-model=\\\"status\\\" class=\\\"rounded-lg border border-slate-700 bg-slate-950 px-3 py-2 text-sm text-white\\\"><option value=\\\"\\\">alle Status</option><option>pending</option><option>needs_review</option><option>duplicate</option><option>transfer_candidate</option><option>covered_by_migros</option><option>superseded</option><option>confirmed</option><option>ignored</option></select>\\n        <button class=\\\"rounded-lg bg-cyan-500 px-4 py-2 text-sm font-semibold text-slate-950\\\" @click=\\\"load\\\">Aktualisieren</button>\\n        <button class=\\\"rounded-lg border border-emerald-500/60 px-4 py-2 text-sm font-semibold text-emerald-200\\\" @click=\\\"batchInfo\\\">Batch Confirm sichere Auto-Kandidaten</button>\\n      </div>\\n      <div class=\\\"mt-5 overflow-x-auto\\\">\\n        <table class=\\\"min-w-full text-left text-sm text-slate-300\\\">\\n          <thead class=\\\"text-xs uppercase tracking-wide text-slate-500\\\"><tr><th class=\\\"px-3 py-2\\\">Quelle</th><th class=\\\"px-3 py-2\\\">Beschreibung</th><th class=\\\"px-3 py-2\\\">Vorschlag</th><th class=\\\"px-3 py-2\\\">Reason</th><th class=\\\"px-3 py-2\\\">Status</th><th class=\\\"px-3 py-2\\\">Aktion</th></tr></thead>\\n          <tbody>\\n            <tr v-for=\\\"item in candidates\\\" :key=\\\"item.transaction_candidate_id\\\" class=\\\"border-t border-slate-800 align-top\\\">\\n              <td class=\\\"px-3 py-2\\\">{{ item.source_type }}<small class=\\\"block text-slate-500\\\">{{ item.source_file_label }}</small><small class=\\\"block text-slate-600\\\">{{ item.source_row_or_range }}</small></td>\\n              <td class=\\\"px-3 py-2\\\">{{ item.transaction_date || '—' }} · {{ item.description }}<small class=\\\"block text-slate-500\\\">Betrag lokal sichtbar; nicht im Chat reporten.</small><small v-if=\\\"item.account_source\\\" class=\\\"block text-slate-500\\\">{{ item.account_source }}</small></td>\\n              <td class=\\\"px-3 py-2\\\">{{ item.proposed_category_name || 'Review nötig' }}<small class=\\\"block text-slate-500\\\">Confidence {{ item.confidence }}</small><small v-if=\\\"item.duplicate_of_transaction_id\\\" class=\\\"block text-red-300\\\">mögliches Duplikat</small></td>\\n              <td class=\\\"px-3 py-2\\\"><span class=\\\"rounded bg-slate-800 px-2 py-1 text-xs\\\">{{ item.classification || '—' }}</span><small class=\\\"mt-1 block text-slate-500\\\">{{ item.review_reason || item.notes }}</small><small v-if=\\\"item.covered_by_source\\\" class=\\\"block text-amber-300\\\">covered by {{ item.covered_by_source }}</small></td>\\n              <td class=\\\"px-3 py-2\\\">{{ item.status }}</td>\\n              <td class=\\\"px-3 py-2\\\">\\n                <div class=\\\"flex flex-wrap gap-2\\\">\\n                  <button class=\\\"rounded border border-emerald-500/60 px-2 py-1 text-xs text-emerald-200\\\" @click=\\\"confirmItem(item)\\\">Confirm</button>\\n                  <button class=\\\"rounded border border-slate-700 px-2 py-1 text-xs text-slate-300\\\" @click=\\\"ignoreItem(item.transaction_candidate_id)\\\">Ignorieren</button>\\n                  <button class=\\\"rounded border border-amber-500/60 px-2 py-1 text-xs text-amber-200\\\" @click=\\\"markTransfer(item.transaction_candidate_id)\\\">Transfer</button>\\n                  <button class=\\\"rounded border border-cyan-500/60 px-2 py-1 text-xs text-cyan-200\\\" @click=\\\"splitInfo(item)\\\">Split</button>\\n                </div>\\n              </td>\\n            </tr>\\n            <tr v-if=\\\"!candidates.length\\\"><td colspan=\\\"6\\\" class=\\\"px-3 py-6 text-center text-slate-500\\\">Keine Kandidaten.</td></tr>\\n          </tbody>\\n        </table>\\n      </div>\\n    </section>\\n  </section>\\n</template>\\n<script setup lang=\\\"ts\\\">\\nimport { onMounted, ref } from 'vue'\\nimport { confirmBudgetTransactionCandidate, getBudgetTransactionCandidates, ignoreBudgetTransactionCandidate, markBudgetTransactionCandidateTransfer, type BudgetTransactionCandidate } from '@/api/budget'\\nconst candidates = ref<BudgetTransactionCandidate[]>([])\\nconst status = ref('')\\nconst activeTab = ref('')\\nconst error = ref('')\\nconst message = ref('')\\nconst tabs = [\\n  { key: '', label: 'Alle' }, { key: 'auto', label: 'Auto-zugeordnet' }, { key: 'review', label: 'Review nötig' }, { key: 'duplicates', label: 'Mögliche Duplikate' },\\n  { key: 'transfers', label: 'Interne Transfers' }, { key: 'galaxus', label: 'Galaxus' }, { key: 'migros_over_50', label: 'Migros über 50 CHF' },\\n  { key: 'bank', label: 'Banküberweisungen' }, { key: 'income', label: 'Einnahmen' }, { key: 'ignored', label: 'Ignoriert / covered_by_source' }\\n]\\nasync function load() { candidates.value = await getBudgetTransactionCandidates(status.value, activeTab.value) }\\nasync function setTab(tab: string) { activeTab.value = tab; await load() }\\nasync function confirmItem(item: BudgetTransactionCandidate) {\\n  if (item.status === 'covered_by_migros' || item.status === 'superseded' || item.status === 'transfer_candidate') { error.value = 'Dieser Kandidat ist nicht als Ausgabe zu bestätigen.'; return }\\n  if (!item.proposed_category_id && item.classification !== 'income_candidate') { error.value = 'Kategorie fehlt; bitte zuerst zuordnen oder splitten.'; return }\\n  await confirmBudgetTransactionCandidate(item.transaction_candidate_id, { category_id: item.proposed_category_id, transaction_type: item.classification === 'income_candidate' ? 'income' : 'expense' })\\n  message.value = 'Buchungskandidat bestätigt und auditiert.'; error.value = ''; await load()\\n}\\nasync function ignoreItem(id: string) { await ignoreBudgetTransactionCandidate(id, 'User review ignored'); message.value = 'Kandidat ignoriert und auditiert.'; error.value = ''; await load() }\\nasync function markTransfer(id: string) { await markBudgetTransactionCandidateTransfer(id, 'User marked as internal transfer'); message.value = 'Als Transfer-Kandidat markiert.'; error.value = ''; await load() }\\nfunction splitInfo(item: BudgetTransactionCandidate) { message.value = `Split ist auditierbar vorbereitet für ${item.description}; Detailformular folgt im nächsten UI-Sprint.` }\\nfunction batchInfo() { message.value = 'Batch Confirm ist API-seitig vorbereitet; Auswahl eines Zielkontos bleibt bewusst User-Confirm.' }\\nonMounted(async () => { try { await load() } catch (e) { error.value = e instanceof Error ? e.message : 'Import Review nicht verfügbar' } })\\n</script>\\n\"}"
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previewBudgetTransaction: vi.fn(),\\n    15|  confirmBudgetTransaction: vi.fn(),\\n    16|  previewBudgetTransfer: vi.fn(),\\n    17|  confirmBudgetTransfer: vi.fn(),\\n    18|  previewBudgetAccount: vi.fn(),\\n    19|  confirmBudgetAccount: vi.fn(),\\n    20|  archiveBudgetAccount: vi.fn(),\\n    21|  previewBudgetCategory: vi.fn(),\\n    22|  confirmBudgetCategory: vi.fn(),\\n    23|  archiveBudgetCategory: vi.fn(),\\n    24|  getBudgetTags: vi.fn(),\\n    25|  previewBudgetTag: vi.fn(),\\n    26|  confirmBudgetTag: vi.fn(),\\n    27|  archiveBudgetTag: vi.fn()\\n    28|}))\\n    29|\\n    30|beforeEach(() => {\\n    31|  vi.clearAllMocks()\\n    32|  vi.mocked(getBudgetOverview).mockResolvedValue({\\n    33|    current_month: '2026-05',\\n    34|    income_chf: '100.00',\\n    35|    expense_chf: '40.00',\\n    36|    net_cashflow_chf: '60.00',\\n    37|    review_count: 1,\\n    38|    uncategorized_count: 1,\\n    39|    top_categories: [{ category_name: 'Essen & Haushalt', amount_chf: '40.00' }],\\n    40|    recent_transactions: [{ budget_transaction_id: 'tx1', transaction_date: '2026-05-16', transaction_type: 'expense', description: 'Demo', amount_original: '40.00', currency_original: 'CHF', amount_chf: '40.00', status: 'confirmed' }]\\n    41|  } as any)\\n    42|  vi.mocked(getBudgetTransactions).mockResolvedValue([{ budget_transaction_id: 'tx1', transaction_date: '2026-05-16', transaction_type: 'expense', description: 'Demo', amount_original: '40.00', currency_original: 'CHF', amount_chf: '40.00', status: 'confirmed' }] as any)\\n    43|  vi.mocked(getBudgetAccounts).mockResolvedValue([{ budget_account_id: 'acc1', name: 'Haushalt', account_type: 'checking', currency: 'CHF', is_active: true }] as any)\\n    44|  vi.mocked(getBudgetCategories).mockResolvedValue([{ category_id: 'cat1', name: 'Essen & Haushalt', category_type: 'expense', is_active: true, children: [{ category_id: 'cat2', parent_category_id: 'cat1', name: 'Supermarkt', category_type: 'expense', is_active: false, children: [] }] }] as any)\\n    45|  vi.mocked(getBudgetTags).mockResolvedValue([{ tag_id: 'tag1', name: 'Fixkosten', is_active: true }, { tag_id: 'tag2', name: 'Alt', is_active: false }] as any)\\n    46|})\\n    47|\\n    48|describe('Budget Phase 1 Vue UI', () => {\\n    49|  it('shows Budget navigation instead of later placeholder', () => {\\n    50|    const wrapper = mount(SidebarNav, { global: { stubs: { RouterLink: RouterLinkStub } } })\\n    51|    expect(wrapper.text()).toContain('Budget')\\n    52|    expect(wrapper.text()).not.toContain('Budget, später')\\n    53|  })\\n    54|\\n    55|  it('renders Budget Overview with current month KPIs and latest transactions', async () => {\\n    56|    const wrapper = mount(BudgetOverviewPage)\\n    57|    await flushPromises()\\n    58|    expect(wrapper.text()).toContain('Budgetstatus nach Kategorie')\\n    59|    expect(wrapper.text()).toContain('Tatsächliches Netto')\\n    60|    expect(wrapper.text()).toContain('Review-Hinweise')\\n    61|    expect(wrapper.text()).toContain('Letzte Transaktionen')\\n    62|  })\\n    63|\\n    64|  it('renders transactions workflow and confirms via API after preview summary', async () => {\\n    65|    vi.mocked(previewBudgetTransaction).mockResolvedValue({ preview_id: 'p1', summary: 'Ausgabe · CHF 12.00', fx_status: 'not_needed', warnings: [], payload: {} } as any)\\n    66|    vi.mocked(confirmBudgetTransaction).mockResolvedValue({ status: 'confirmed', entity_id: 'tx2', audit_id: 'audit1', message: 'Budgetbuchung gespeichert' } as any)\\n    67|    const wrapper = mount(BudgetTransactionsPage)\\n    68|    await flushPromises()\\n    69|    expect(wrapper.text()).toContain('Einnahme erfassen')\\n    70|    expect(wrapper.text()).toContain('Ausgabe erfassen')\\n    71|    expect(wrapper.text()).toContain('Transfer erfassen')\\n    72|    await wrapper.get('[data-test=\\\"new-expense\\\"]').trigger('click')\\n    73|    await wrapper.get('[data-test=\\\"transaction-account\\\"]').setValue('acc1')\\n    74|    await wrapper.get('[data-test=\\\"transaction-amount\\\"]').setValue('12.00')\\n    75|    await wrapper.get('[data-test=\\\"transaction-description\\\"]').setValue('Demo Ausgabe')\\n    76|    await wrapper.get('[data-test=\\\"transaction-category\\\"]').setValue('cat1')\\n    77|    await wrapper.get('[data-test=\\\"preview-transaction\\\"]').trigger('click')\\n    78|    await flushPromises()\\n    79|    expect(wrapper.text()).toContain('Zusammenfassung prüfen')\\n    80|    await wrapper.get('[data-test=\\\"confirm-transaction\\\"]').trigger('click')\\n    81|    await flushPromises()\\n    82|    expect(confirmBudgetTransaction).toHaveBeenCalled()\\n    83|    expect(wrapper.text()).toContain('Budgetbuchung gespeichert')\\n    84|  })\\n    85|\\n    86|  it('supports category and tag preview confirm archive workflows without exposing raw IDs', async () => {\\n    87|    vi.mocked(previewBudgetCategory).mockResolvedValue({ preview_id: 'p-cat', summary: 'Drogerie · expense', warnings: [], payload: { name: 'Drogerie', category_type: 'expense', parent_category_id: 'cat1' } } as any)\\n    88|    vi.mocked(confirmBudgetCategory).mockResolvedValue({ status: 'confirmed', entity_id: 'cat3', audit_id: 'audit-cat', message: 'Kategorie gespeichert' } as any)\\n    89|    vi.mocked(archiveBudgetCategory).mockResolvedValue({ status: 'archived', entity_id: 'cat2', audit_id: 'audit-archive', message: 'Kategorie archiviert' } as any)\\n    90|    vi.mocked(previewBudgetTag).mockResolvedValue({ preview_id: 'p-tag', summary: 'Ferien', warnings: [], payload: { name: 'Ferien' } } as any)\\n    91|    vi.mocked(confirmBudgetTag).mockResolvedValue({ status: 'confirmed', entity_id: 'tag3', audit_id: 'audit-tag', message: 'Tag gespeichert' } as any)\\n    92|    vi.mocked(archiveBudgetTag).mockResolvedValue({ status: 'archived', entity_id: 'tag2', audit_id: 'audit-tag-archive', message: 'Tag archiviert' } as any)\\n    93|\\n    94|    const wrapper = mount(BudgetCategoriesPage)\\n    95|    await flushPromises()\\n    96|\\n    97|    expect(wrapper.text()).toContain('Essen & Haushalt')\\n    98|    expect(wrapper.text()).toContain('Supermarkt')\\n    99|    expect(wrapper.text()).toContain('inaktiv')\\n   100|    expect(wrapper.text()).toContain('Tags')\\n   101|    expect(wrapper.text()).toContain('Fixkosten')\\n   102|    expect(wrapper.text()).not.toContain('cat1')\\n   103|    expect(wrapper.text()).not.toContain('tag1')\\n   104|\\n   105|    await wrapper.get('[data-test=\\\"category-name\\\"]').setValue('Drogerie')\\n   106|    await wrapper.get('[data-test=\\\"category-parent\\\"]').setValue('cat1')\\n   107|    await wrapper.get('[data-test=\\\"preview-category\\\"]').trigger('click')\\n   108|    await flushPromises()\\n   109|    expect(wrapper.text()).toContain('Zusammenfassung prüfen')\\n   110|    await wrapper.get('[data-test=\\\"confirm-category\\\"]').trigger('click')\\n   111|    await flushPromises()\\n   112|    expect(confirmBudgetCategory).toHaveBeenCalled()\\n   113|    expect(wrapper.text()).toContain('Kategorie gespeichert')\\n   114|\\n   115|    await wrapper.get('[data-test=\\\"archive-category-cat1\\\"]').trigger('click')\\n   116|    await flushPromises()\\n   117|    expect(archiveBudgetCategory).toHaveBeenCalledWith('cat1')\\n   118|\\n   119|    await wrapper.get('[data-test=\\\"tag-name\\\"]').setValue('Ferien')\\n   120|    await wrapper.get('[data-test=\\\"preview-tag\\\"]').trigger('click')\\n   121|    await flushPromises()\\n   122|    await wrapper.get('[data-test=\\\"confirm-tag\\\"]').trigger('click')\\n   123|    await flushPromises()\\n   124|    expect(confirmBudgetTag).toHaveBeenCalled()\\n   125|    await wrapper.get('[data-test=\\\"archive-tag-tag1\\\"]').trigger('click')\\n   126|    await flushPromises()\\n   127|    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            "arguments": "{\"limit\":100,\"path\":\"/home/agent/jarvis_runtime/finance-system/imports\",\"pattern\":\"*.xlsx\",\"target\":\"files\"}"
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    },
    {
      "role": "tool",
      "name": "search_files",
      "content": "{\"total_count\": 3, \"files\": [\"/home/agent/jarvis_runtime/finance-system/imports/phase14/budget_tool_2026.xls\", \"/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_uebersicht_alle_Anlagen.xlsx\", \"/home/agent/jarvis_runtime/finance-system/imports/tmp_btc_test/crypto_coins_source.xlsx\"]}",
      "tool_call_id": "call_tV5A0hfTRtnoivfpAMmXbIaq"
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    {
      "role": "tool",
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      "content": "{\"total_count\": 2, \"files\": [\"/home/agent/jarvis_runtime/finance-system/imports/broker_mapping_analysis_20260515T082614Z/260514_uebersicht_alle_Anlagen.xlsx\", \"/home/agent/jarvis_runtime/finance-system/imports/tmp_btc_test/crypto_coins_source.xlsx\"]}",
      "tool_call_id": "call_ASyInwFsBHZpAR8NkiYb9BFu"
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    {
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      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_nxfrpK7KDhoOJuJmKKzhnbIr"
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    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Checking bank files and reports**\n\nI think I need to verify if the bank files are present because they might not be. I'll report the profiles implemented, but if no files are found, that’s a concern. I should parse the Migros and Visa data next, but first, I need to inspect the headers only. Using a terminal with Python to sniff the CSV should help me print column counts. I hope that clarifies things!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Checking bank files and reports**\n\nI think I need to verify if the bank files are present because they might not be. I'll report the profiles implemented, but if no files are found, that’s a concern. I should parse the Migros and Visa data next, but first, I need to inspect the headers only. Using a terminal with Python to sniff the CSV should help me print column counts. I hope that clarifies things!",
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            "arguments": "{\"command\":\"set -euo pipefail\\npython - <<'PY'\\nimport csv, pathlib, json\\nfiles=[pathlib.Path('/home/agent/jarvis_runtime/finance-system/imports/phase14/visa_2025_2026.csv'), pathlib.Path('/home/agent/jarvis_runtime/finance-system/imports/phase14/migros_2024.csv'), pathlib.Path('/home/agent/jarvis_runtime/finance-system/imports/phase14/migros_2025.csv'), pathlib.Path('/home/agent/jarvis_runtime/finance-system/imports/phase14/migros_2026.csv')]\\nfor p in files:\\n    with p.open(newline='', encoding='utf-8-sig') as f:\\n        sample=f.read(4096); f.seek(0)\\n        try: dialect=csv.Sniffer().sniff(sample, delimiters=',;\\\\t')\\n        except Exception: dialect=csv.excel\\n        r=csv.DictReader(f, dialect=dialect)\\n        n=sum(1 for _ in r)\\n        print(json.dumps({'file':p.name,'rows':n,'columns':r.fieldnames}, ensure_ascii=False))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"{\\\"file\\\": \\\"visa_2025_2026.csv\\\", \\\"rows\\\": 1376, \\\"columns\\\": [\\\"TransactionId\\\", \\\"CardId\\\", \\\"Date\\\", \\\"ValutaDate\\\", \\\"Amount\\\", \\\"Currency\\\", \\\"OriginalAmount\\\", \\\"OriginalCurrency\\\", \\\"MerchantName\\\", \\\"MerchantPlace\\\", \\\"MerchantCountry\\\", \\\"StateType\\\", \\\"Details\\\", \\\"Type\\\", \\\"Exchange Rate\\\"]}\\n{\\\"file\\\": \\\"migros_2024.csv\\\", \\\"rows\\\": 3420, \\\"columns\\\": [\\\"Datum\\\", \\\"Zeit\\\", \\\"Filiale\\\", \\\"Kassennummer\\\", \\\"Transaktionsnummer\\\", \\\"Artikel\\\", \\\"Menge\\\", \\\"Aktion\\\", \\\"Umsatz\\\"]}\\n{\\\"file\\\": \\\"migros_2025.csv\\\", \\\"rows\\\": 3460, \\\"columns\\\": [\\\"Datum\\\", \\\"Zeit\\\", \\\"Filiale\\\", \\\"Kassennummer\\\", \\\"Transaktionsnummer\\\", \\\"Artikel\\\", \\\"Menge\\\", \\\"Aktion\\\", \\\"Umsatz\\\"]}\\n{\\\"file\\\": \\\"migros_2026.csv\\\", \\\"rows\\\": 1448, \\\"columns\\\": [\\\"Datum\\\", \\\"Zeit\\\", \\\"Filiale\\\", \\\"Kassennummer\\\", \\\"Transaktionsnummer\\\", \\\"Artikel\\\", \\\"Menge\\\", \\\"Aktion\\\", \\\"Umsatz\\\"]}\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_Y2tWZgDjtw0QI78AXef2Z7cI"
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            "arguments": "{\"mode\":\"replace\",\"new_string\":\"        desc = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"merchant\\\") or low.get(\\\"merchantname\\\") or low.get(\\\"details\\\") or \\\"\\\").strip()\\n\",\"old_string\":\"        desc = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"merchant\\\") or \\\"\\\").strip()\\n\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\"}"
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    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\\n@@ -326,7 +326,7 @@\\n     created = subs = galaxus = covered = dup_count = review = ignored = 0\\n     for idx, raw in enumerate(rows, start=1):\\n         low = {_normalise(k): v for k, v in raw.items()}\\n-        desc = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"merchant\\\") or \\\"\\\").strip()\\n+        desc = str(low.get(\\\"beschreibung\\\") or low.get(\\\"description\\\") or low.get(\\\"text\\\") or low.get(\\\"merchant\\\") or low.get(\\\"merchantname\\\") or low.get(\\\"details\\\") or \\\"\\\").strip()\\n         tx_date = _date_text(low.get(\\\"datum\\\") or low.get(\\\"date\\\") or low.get(\\\"buchungsdatum\\\"))\\n         amount = _decimal_text(low.get(\\\"betrag\\\") or low.get(\\\"amount\\\") or low.get(\\\"umsatz\\\"))\\n         if not desc or not amount:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/services/budget_imports.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_ZbyAkdMJOImscbZdMe87Bqbl"
    },
    {
      "role": "assistant",
      "content": "Ich führe jetzt den Runtime‑Teil aus: Migros-Artikelkandidaten werden nach Backup/Audit als `superseded` markiert, danach Migros neu bon‑aggregiert und Kreditkarte source-aware neu eingelesen. Keine produktiven Buchungen/Confirm.",
      "reasoning": null,
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              "text": "Ich führe jetzt den Runtime‑Teil aus: Migros-Artikelkandidaten werden nach Backup/Audit als `superseded` markiert, danach Migros neu bon‑aggregiert und Kreditkarte source-aware neu eingelesen. Keine produktiven Buchungen/Confirm."
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          "id": "msg_064af6ee3d6528eb016a09a034e4308191a80c92a2b9000e9f",
          "phase": "commentary"
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            "arguments": "{\"command\":\"set -euo pipefail\\nPYTHONPATH=src python - <<'PY'\\nimport csv, json, os, pathlib, sqlite3\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nfrom jarvis_finance.services.budget_imports import cleanup_migros_article_candidates, seed_migros_candidates_from_rows, seed_credit_card_candidates_from_rows\\n\\nDB=pathlib.Path.home()/'jarvis_runtime/finance-system/data/finance.sqlite3'\\nconn=connect(DB); apply_migrations(conn)\\n\\ndef cat_id(names):\\n    rows=conn.execute('SELECT category_id,name FROM budget_categories WHERE is_active=1').fetchall()\\n    for needle in names:\\n        n=needle.lower()\\n        for r in rows:\\n            if n in r['name'].lower() or r['name'].lower() in n:\\n                return r['category_id']\\n    return None\\nfood=cat_id(['Essen & Haushalt','Essen','Haushalt'])\\nabos=cat_id(['Abos','Abo','Subscriptions'])\\n\\ndef load_csv(path):\\n    with open(path, newline='', encoding='utf-8-sig') as f:\\n        sample=f.read(4096); f.seek(0)\\n        try: dialect=csv.Sniffer().sniff(sample, delimiters=',;\\\\t')\\n        except Exception: dialect=csv.excel\\n        return list(csv.DictReader(f, dialect=dialect))\\n\\nbefore={\\n 'open_total': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status IN ('pending','needs_review','duplicate')\\\").fetchone()['c'],\\n 'migros_like_open': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status IN ('pending','needs_review','duplicate') AND (lower(COALESCE(source_file_label,'')) LIKE '%migros%' OR lower(COALESCE(source_file_label,'')) LIKE '%cumulus%' OR lower(COALESCE(description,'')) LIKE '%migros%' OR lower(COALESCE(notes,'')) LIKE '%migros%')\\\").fetchone()['c'],\\n}\\ndry=cleanup_migros_article_candidates(conn, dry_run=True)\\ncleanup=cleanup_migros_article_candidates(conn, dry_run=False)\\n\\nmigros_stats=[]\\nfor y in ['2024','2025','2026']:\\n    rows=load_csv(pathlib.Path.home()/f'jarvis_runtime/finance-system/imports/phase14/migros_{y}.csv')\\n    migros_stats.append({'year':y, **seed_migros_candidates_from_rows(conn, rows, source_file_label=f'migros_{y}_phase15.csv', auto_category_id=food, threshold_chf='50.00')})\\nvisa_rows=load_csv(pathlib.Path.home()/'jarvis_runtime/finance-system/imports/phase14/visa_2025_2026.csv')\\nvisa=seed_credit_card_candidates_from_rows(conn, visa_rows, source_file_label='visa_2025_2026_phase15.csv', subscription_category_id=abos, migros_covered=True)\\n\\nafter={\\n 'open_total': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status IN ('pending','needs_review','duplicate','transfer_candidate')\\\").fetchone()['c'],\\n 'review_total': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE requires_review=1 AND status IN ('pending','needs_review','duplicate','transfer_candidate')\\\").fetchone()['c'],\\n 'superseded': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status='superseded'\\\").fetchone()['c'],\\n 'line_items': conn.execute(\\\"SELECT COUNT(*) c FROM budget_import_line_items\\\").fetchone()['c'],\\n 'covered_by_migros': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status='covered_by_migros'\\\").fetchone()['c'],\\n 'galaxus_review': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE classification='galaxus_review'\\\").fetchone()['c'],\\n 'subscriptions_auto': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE classification='subscription_auto'\\\").fetchone()['c'],\\n 'migros_receipts': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_type='migros_receipt'\\\").fetchone()['c'],\\n 'migros_under_threshold': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE classification='migros_auto_under_threshold'\\\").fetchone()['c'],\\n 'migros_over_threshold': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE classification='migros_review_over_threshold'\\\").fetchone()['c'],\\n 'confirmed_phase15': conn.execute(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_file_label LIKE '%phase15%' AND status='confirmed'\\\").fetchone()['c'],\\n}\\nprint(json.dumps({'before':before,'dry_run':dry,'cleanup':{k:v for k,v in cleanup.items() if k!='audit_id'},'migros_stats':migros_stats,'visa_stats':visa,'after':after,'category_resolution':{'food_found':bool(food),'abos_found':bool(abos)}}, ensure_ascii=False, sort_keys=True))\\nPY\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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      "content": "{\"output\": \"{\\\"after\\\": {\\\"confirmed_phase15\\\": 0, \\\"covered_by_migros\\\": 273, \\\"galaxus_review\\\": 119, \\\"line_items\\\": 8328, \\\"migros_over_threshold\\\": 223, \\\"migros_receipts\\\": 279, \\\"migros_under_threshold\\\": 56, \\\"open_total\\\": 2867, \\\"review_total\\\": 2344, \\\"subscriptions_auto\\\": 74, \\\"superseded\\\": 8328}, \\\"before\\\": {\\\"migros_like_open\\\": 8591, \\\"open_total\\\": 9813}, \\\"category_resolution\\\": {\\\"abos_found\\\": true, \\\"food_found\\\": true}, \\\"cleanup\\\": {\\\"article_candidate_count\\\": 8328, \\\"dry_run\\\": 0, \\\"superseded_count\\\": 8328}, \\\"dry_run\\\": {\\\"article_candidate_count\\\": 8328, \\\"dry_run\\\": 1, \\\"superseded_count\\\": 0}, \\\"migros_stats\\\": [{\\\"auto_assigned_count\\\": 19, \\\"candidate_count\\\": 114, \\\"ignored_count\\\": 0, \\\"line_item_count\\\": 3420, \\\"receipt_candidate_count\\\": 114, \\\"review_required_count\\\": 95, \\\"year\\\": \\\"2024\\\"}, {\\\"auto_assigned_count\\\": 30, \\\"candidate_count\\\": 116, \\\"ignored_count\\\": 0, \\\"line_item_count\\\": 3460, \\\"receipt_candidate_count\\\": 116, \\\"review_required_count\\\": 86, \\\"year\\\": \\\"2025\\\"}, {\\\"auto_assigned_count\\\": 7, \\\"candidate_count\\\": 49, \\\"ignored_count\\\": 0, \\\"line_item_count\\\": 1448, \\\"receipt_candidate_count\\\": 49, \\\"review_required_count\\\": 42, \\\"year\\\": \\\"2026\\\"}], \\\"visa_stats\\\": {\\\"candidate_count\\\": 1376, \\\"covered_by_migros_count\\\": 273, \\\"galaxus_review_count\\\": 119, \\\"ignored_count\\\": 0, \\\"possible_duplicate_count\\\": 0, \\\"review_required_count\\\": 1103, \\\"subscription_auto_count\\\": 74}}\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_t3qewMe17oJket0ZADnelYcc"
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    {
      "role": "assistant",
      "content": "Runtime‑Cleanup/Neuimport ist erledigt: alte Migros‑Artikelkandidaten superseded, neue Migros‑Bons erzeugt, Artikelzeilen als Detaildaten gespeichert, Kreditkarte source-aware importiert. Keine produktiven Buchungen bestätigt. Jetzt vollständige Verifikation.",
      "reasoning": "**Reviewing migration tasks**\n\nI need to focus on the bank profiles and check if I have all the necessary files. First, I'll verify the current status and update my to-do list once I finish the runtime. I think I need to run full tests, but there's a potential migration issue regarding row[\"sql\"] access, which requires some adjustments. I should also consider source secret scanning, then do a full pytest and npm test/build before checking Git status.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Reviewing migration tasks**\n\nI need to focus on the bank profiles and check if I have all the necessary files. First, I'll verify the current status and update my to-do list once I finish the runtime. I think I need to run full tests, but there's a potential migration issue regarding row[\"sql\"] access, which requires some adjustments. I should also consider source secret scanning, then do a full pytest and npm test/build before checking Git status.",
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      "role": "tool",
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      "content": "{\"output\": \".....................................F....F....F........................ [ 19%]\\n........................................................................ [ 38%]\\n........................................................................ [ 58%]\\n........................................................................ [ 77%]\\n..............................F......................................... [ 97%]\\n...........                                                              [100%]\\n=================================== FAILURES ===================================\\n_ test_budget_phase1_tables_seeds_and_text_decimal_columns_are_created_idempotently _\\n\\n    def test_budget_phase1_tables_seeds_and_text_decimal_columns_are_created_idempotently() -> None:\\n        conn = db()\\n        apply_migrations(conn)\\n>       assert get_schema_version(conn) == 20\\nE       assert 21 == 20\\nE        +  where 21 = get_schema_version(<sqlite3.Connection object at 0x77417061e5c0>)\\n\\ntests/unit/test_budget_phase1.py:32: AssertionError\\n__________ test_budget_phase11_tables_tags_and_plan_items_are_created __________\\n\\n    def test_budget_phase11_tables_tags_and_plan_items_are_created() -> None:\\n        conn = db()\\n>       assert get_schema_version(conn) == 20\\nE       assert 21 == 20\\nE        +  where 21 = get_schema_version(<sqlite3.Connection object at 0x77417061ff10>)\\n\\ntests/unit/test_budget_phase11.py:22: AssertionError\\n________ test_phase12_schema_has_requested_budget_seed_candidates_table ________\\n\\n    def test_phase12_schema_has_requested_budget_seed_candidates_table() -> None:\\n        conn = db()\\n>       assert get_schema_version(conn) == 20\\nE       assert 21 == 20\\nE        +  where 21 = get_schema_version(<sqlite3.Connection object at 0x77417061ef20>)\\n\\ntests/unit/test_budget_phase12_seed_review.py:38: AssertionError\\n_________________________ test_schema_version_recorded _________________________\\n\\n    def test_schema_version_recorded() -> None:\\n        conn = connect_memory()\\n        apply_migrations(conn)\\n>       assert get_schema_version(conn) == 20\\nE       assert 21 == 20\\nE        +  where 21 = get_schema_version(<sqlite3.Connection object at 0x77417061ff10>)\\n\\ntests/unit/test_schema.py:18: AssertionError\\n=========================== short test summary info ============================\\nFAILED tests/unit/test_budget_phase1.py::test_budget_phase1_tables_seeds_and_text_decimal_columns_are_created_idempotently\\nFAILED tests/unit/test_budget_phase11.py::test_budget_phase11_tables_tags_and_plan_items_are_created\\nFAILED tests/unit/test_budget_phase12_seed_review.py::test_phase12_schema_has_requested_budget_seed_candidates_table\\nFAILED tests/unit/test_schema.py::test_schema_version_recorded - assert 21 == 20\\n4 failed, 367 passed in 30.08s\", \"exit_code\": 1, \"error\": null}",
      "tool_call_id": "call_tv7g3ZC7pp4NNUPA6FGu2aJU"
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    {
      "role": "assistant",
      "content": "Verifikation zeigt nur erwartete Schema-Version-Testanpassungen von 20 → 21. Ich aktualisiere die Tests und wiederhole.",
      "reasoning": "**Updating test expectations**\n\nI need to update the tests that are expecting a value of 21. It seems like I should search for whatever details or adjustments are needed to make that happen. This step feels important because getting accurate expectations is crucial for the overall results. I'll see what I can find that helps clarify the specifics or updates I might need to implement. Let's dig into it and make sure everything aligns correctly!",
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      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase1.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase1.py\\n@@ -29,7 +29,7 @@\\n def test_budget_phase1_tables_seeds_and_text_decimal_columns_are_created_idempotently() -> None:\\n     conn = db()\\n     apply_migrations(conn)\\n-    assert get_schema_version(conn) == 20\\n+    assert get_schema_version(conn) == 21\\n     tables = {row[\\\"name\\\"] for row in conn.execute(\\\"SELECT name FROM sqlite_master WHERE type='table'\\\")}\\n     assert {\\n         \\\"budget_accounts\\\",\\n\\n--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase11.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase11.py\\n@@ -19,7 +19,7 @@\\n \\n def test_budget_phase11_tables_tags_and_plan_items_are_created() -> None:\\n     conn = db()\\n-    assert get_schema_version(conn) == 20\\n+    assert get_schema_version(conn) == 21\\n     tables = {row[\\\"name\\\"] for row in conn.execute(\\\"SELECT name FROM sqlite_master WHERE type='table'\\\")}\\n     assert {\\\"budget_plan_items\\\", \\\"budget_excel_seed_dry_runs\\\", \\\"budget_excel_seed_candidates\\\"}.issubset(tables)\\n     cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(budget_plan_items)\\\")}\\n\\n--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase12_seed_review.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase12_seed_review.py\\n@@ -35,7 +35,7 @@\\n \\n def test_phase12_schema_has_requested_budget_seed_candidates_table() -> None:\\n     conn = db()\\n-    assert get_schema_version(conn) == 20\\n+    assert get_schema_version(conn) == 21\\n     cols = {row[\\\"name\\\"]: row[\\\"type\\\"] for row in conn.execute(\\\"PRAGMA table_info(budget_seed_candidates)\\\")}\\n     assert {\\n         \\\"seed_candidate_id\\\",\\n\\n--- a//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\\n@@ -15,7 +15,7 @@\\n def test_schema_version_recorded() -> None:\\n     conn = connect_memory()\\n     apply_migrations(conn)\\n-    assert get_schema_version(conn) == 20\\n+    assert get_schema_version(conn) == 21\\n \\n \\n def test_decimal_sensitive_columns_use_text_affinity() -> None:\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase1.py\", \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase11.py\", \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase12_seed_review.py\", \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\"], \"lint\": {\"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase1.py\": {\"status\": \"ok\", \"output\": \"\"}, \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase11.py\": {\"status\": \"ok\", \"output\": \"\"}, \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase12_seed_review.py\": {\"status\": \"ok\", \"output\": \"\"}, \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py\": {\"status\": \"ok\", \"output\": \"\"}}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase1.py was modified by sibling subagent '20260517_104305_ba8569' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes. | /home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase11.py was modified by sibling subagent '20260517_104305_ba8569' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes. | /home/agent/.hermes/repos/FinanceManager/tests/unit/test_budget_phase12_seed_review.py was modified by sibling subagent '20260517_104305_ba8569' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes. | /home/agent/.hermes/repos/FinanceManager/tests/unit/test_schema.py was modified by sibling subagent '20260517_104305_ba8569' but this agent never read it. Read the file before writing to avoid overwriting the sibling's changes.\"}",
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      "content": "{\"output\": \"........................................................................ [ 19%]\\n........................................................................ [ 38%]\\n........................................................................ [ 58%]\\n........................................................................ [ 77%]\\n........................................................................ [ 97%]\\n...........                                                              [100%]\\n371 passed in 30.66s\", \"exit_code\": 0, \"error\": null}",
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      "role": "tool",
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      "content": "{\"output\": \"> jarvis-finance-dashboard-vue@0.0.0 test\\n> vitest run --environment jsdom --run\\n\\n\\n RUN  v4.1.6 /home/agent/.hermes/repos/FinanceManager/frontend\\n\\n ✓ src/pages/BudgetSetupPage.test.ts (1 test) 33ms\\n ✓ src/pages/PositionAddPage.test.ts (2 tests) 94ms\\n ✓ src/pages/CommandCenter.test.ts (2 tests) 125ms\\n ✓ src/pages/CryptoPage.test.ts (2 tests) 131ms\\n ✓ src/pages/BudgetPhase1.test.ts (4 tests) 170ms\\n ✓ src/pages/VueCockpitV11.test.ts (6 tests) 234ms\\n ✓ src/pages/ReadOnlySurfaces.test.ts (4 tests) 144ms\\n ✓ src/api/client.test.ts (2 tests) 5ms\\nstderr | src/App.test.ts > App > renders the user dashboard shell\\n[Vue Router warn]: No match found for location with path \\\"/portfolio\\\"\\n[Vue Router warn]: No match found for location with path \\\"/crypto\\\"\\n[Vue Router warn]: No match found for location with path \\\"/equity\\\"\\n[Vue Router warn]: No match found for location with path \\\"/wallets\\\"\\n[Vue Router warn]: No match found for location with path \\\"/positions/add\\\"\\n[Vue Router warn]: No match found for location with path \\\"/reports\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/categories\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/tags\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/accounts\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/setup\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/setup\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/status\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/monthly\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/yearly\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/plans\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/income/planned\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/income/actual\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/income/forecast\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/expenses/actual\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/expenses/manual\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/import-review\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/category-assignment\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/analysis/budget-vs-actual\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/analysis/categories\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/analysis/monthly\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/analysis/forecast\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/analysis/traffic-lights\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/imports\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/rules\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/fixed-costs\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/duplicates\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/migros-cumulus\\\"\\n[Vue Router warn]: No match found for location with path \\\"/planning/budget/visa-import\\\"\\n\\n ✓ src/App.test.ts (1 test) 48ms\\n\\n Test Files  9 passed (9)\\n      Tests  24 passed (24)\\n   Start at  13:04:26\\n   Duration  3.22s (transform 4.05s, setup 0ms, import 6.86s, tests 983ms, environment 9.14s)\\n\\n\\n> jarvis-finance-dashboard-vue@0.0.0 build\\n> vue-tsc -b && vite build\\n\\nvite v8.0.13 building client environment for production...\\n\\rtransforming...✓ 91 modules transformed.\\nrendering chunks...\\ncomputing gzip size...\\ndist/index.html                   0.36 kB │ gzip:  0.27 kB\\ndist/assets/index-BJ2ZYHTj.css   19.71 kB │ gzip:  4.62 kB\\ndist/assets/index-BvG97U-n.js   202.95 kB │ gzip: 61.94 kB\\n\\n✓ built in 1.04s\", \"exit_code\": 0, \"error\": null}",
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          "encrypted_content": "gAAAAABqCaDG0kco0WmaX5z7nOv4uQca6pqc86lWznNNK-TYsQkVELqQBpAwrCQK-GF1QpZjsRWnbjSL_1lds-RJUxqf3O7bLIslQRB-HBa42ZbCrFzP7E9h9-Pd2N_4QwUSN2wXM7BCvsvwS143ArN6_3YI9wSrNy5OXlsYl1Mrr4RgClQvW17Q4cPTQy3gRAlC2x-RnfIC_-D0ZkpD2rciVGW2tr74m4KczNCFcuymBP335cpxarEFUs1CSdfMYsgbau5FAQUQurU8tVDNsCCr2_eXPTPfu_qsPNcRek7RsQvc94QHZZC1fZnGSB5EJYbIAuSHgsfqLwkdLpR-awQfKItKXMN_cna9NZiKPDYo0Ijc6NJHpkgvXdTClR884Unyna3-Yk02bExzb0hBtq8IDRVrtkvu5Og7W_L462kut4snhAWHZUT7AQz7SgPP7WRHy-Beon9eVUTPXcuNa5MbvLCThJzFD-kzqDpITTjLX7FYbk7U2bgd7YP8cFBhXwBmvdcGq1SAKps4FUUprd_E9uaScwHg3UsVZ8TCkM1DCHkGhyZesjTwUd9Z79lMBnRqrJqxzElnqUm5k6nCNVNUNxuSPYnUJptRYmclEY7lxDQcDsjtB3Oo6Cs5J-qANfH8qn-v1cfOeE5rw4-BxDRfXTUQpoaYMMew5sVSv7CyeIecs1yK7s9K4XAv1mmB9rWN_-v99YMDJocCbKNpw2ZEafCssx0Nayn6OLhSDPl01Y9B68cvQ7g5dU1ruQMMWgL-TBnS001w34zzo7UE14XAEjrxySPQzWsQZVSC8iwIaTIRh6WntgCQifm-b3RQxcvcjsxUHH8uveB2pXULAgrbEJSbYfajALYaaZd3nG_QFbJkb2n8oYsO4qJOQo8dcBQ1Ra62rCzy9WxorbtHgSsofSWBUSalrnBhk8xrt3Dp_y__BcPwUTf057zSeBUjEH92NtnM8qbKafYISeXwtWY5jIV6dB3sh7i8k_pxTH4yGdwUgAJLCwXb5JinJj9-c48x8JMC9HFwvUNWjsZY34pzDC_8nsWe8tmUvzm-A_g0CLyFde3_OuuGThcnXTKforJt_D3yIv4BQQaPG-fk_DdbhJS-5xGtMiB8wUjhcxo1JTSesOdjpGzVf-L1xC9REV-mziFF2a3BH0THOf9UQGQDLBvXzje5wSA8i8dBF9Z8cSPZxayPCNOoq20csRiTrzrgHXXo1CxKGXnU9tPCq8NBD5qK4VRP2FHt9JL8FF0xgMmWELpvHaM=",
          "id": "rs_064af6ee3d6528eb016a09a0c40cf881919c3dc53704932e59",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering secret scans**\n\nI need to think about how to perform secret scans effectively. I'll consider commands like \"git grep\", checking git status, and using \"git diff\" to spot any issues. The \"source secret scan frontend build secret scan Git-Safety git diff --check\" approach might be useful too. Really, there shouldn't be any real CSV files in git. I’ll focus on using the terminal for git status and checking for secrets, maybe using custom grep as well."
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Tests/build sind grün. Jetzt Safety: Secret-Scan, Git-Safety, keine Runtime-/CSV-Dateien im Git, Whitespace."
            }
          ],
          "id": "msg_064af6ee3d6528eb016a09a0c6aa608191bef2a57335c16bfd",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_GA29KVX8EJdyWubtWy8DUA5h",
          "call_id": "call_GA29KVX8EJdyWubtWy8DUA5h",
          "response_item_id": "fc_064af6ee3d6528eb016a09a0c6ddbc8191ad70e621efade652",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\ngit diff --check\\ngit status --short\\npython - <<'PY'\\nimport pathlib,re,subprocess,sys\\nrepo=pathlib.Path.cwd()\\ntracked=subprocess.check_output(['git','ls-files'], text=True).splitlines()\\nviolations=[]\\nfor f in tracked:\\n    if re.search(r'(^|/)(jarvis_runtime|runtime|data)/', f) or f.lower().endswith(('.csv','.xls','.xlsx','.sqlite','.sqlite3','.db')):\\n        # allow fixture-like files only if tests explicitly; none expected for this sprint\\n        if not f.startswith('tests/'):\\n            violations.append(f)\\nprint('git_safety_tracked_runtime_or_spreadsheets', violations)\\nif violations:\\n    sys.exit(2)\\nPY\\npython - <<'PY'\\nimport pathlib,re,sys\\npatterns=[re.compile(r'(?i)(api[_-]?key|secret|token|password)\\\\s*[:=]\\\\s*[\\\"\\\\']?[A-Za-z0-9_./+=-]{16,}'), re.compile(r'ghp_[A-Za-z0-9]{20,}'), re.compile(r'sk-[A-Za-z0-9]{20,}')]\\npaths=[p for p in pathlib.Path('src').rglob('*') if p.is_file()] + [p for p in pathlib.Path('frontend/src').rglob('*') if p.is_file()]\\nhits=[]\\nfor p in paths:\\n    text=p.read_text(errors='ignore')\\n    for i,line in enumerate(text.splitlines(),1):\\n        if any(rx.search(line) for rx in patterns):\\n            hits.append(f'{p}:{i}')\\nprint('source_secret_scan_hits', hits)\\nif hits:\\n    sys.exit(3)\\nPY\\npython - <<'PY'\\nimport pathlib,re,sys\\nhits=[]\\nfor p in pathlib.Path('frontend/dist').rglob('*'):\\n    if p.is_file():\\n        text=p.read_text(errors='ignore')\\n        if re.search(r'(?i)(api[_-]?key|secret|token|password)\\\\s*[:=]', text) or re.search(r'(ghp_|sk-)[A-Za-z0-9]{20,}', text):\\n            hits.append(str(p))\\nprint('frontend_build_secret_scan_hits', hits)\\nif hits:\\n    sys.exit(4)\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"M frontend/src/api/budget.ts\\n M frontend/src/pages/BudgetImportReviewPage.vue\\n M src/jarvis_finance/api/routers/budget.py\\n M src/jarvis_finance/services/budget_imports.py\\n M src/jarvis_finance/storage/migrations.py\\n M tests/unit/test_budget_phase1.py\\n M tests/unit/test_budget_phase11.py\\n M tests/unit/test_budget_phase12_seed_review.py\\n M tests/unit/test_schema.py\\n?? tests/unit/test_budget_phase15_source_aware_imports.py\\ngit_safety_tracked_runtime_or_spreadsheets ['examples/synthetic/accounts.csv', 'examples/synthetic/cash_balances_initial.csv', 'examples/synthetic/crypto_holdings_initial.csv', 'examples/synthetic/crypto_transactions.csv', 'examples/synthetic/crypto_wallets.csv', 'examples/synthetic/instruments.csv', 'examples/synthetic/transactions.csv', 'examples/synthetic/watchlist.csv', 'src/jarvis_finance/runtime/__init__.py', 'src/jarvis_finance/runtime/backup.py']\", \"exit_code\": 2, \"error\": null}",
      "tool_call_id": "call_GA29KVX8EJdyWubtWy8DUA5h"
    },
    {
      "role": "assistant",
      "content": "Git-Safety-Prüfung war zu streng und hat erlaubte synthetic examples sowie Runtime-Code fälschlich markiert; ich wiederhole mit Sprint-relevanter Regel: keine echten CSV/XLS/DB/Runtime-Daten außerhalb erlaubter synthetic fixtures und kein `jarvis_runtime` im Repo.",
      "reasoning": "**Adjusting script settings**\n\nI’m realizing that the script is a bit too strict. It seems like the source runtime is code while allowing synthetic examples. I definitely need to rerun it after making some adjustments. I also need to check the source scan since it didn’t run due to an exit, so I’ll ensure that gets taken care of as well. I just want to get everything working smoothly!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Adjusting script settings**\n\nI’m realizing that the script is a bit too strict. It seems like the source runtime is code while allowing synthetic examples. I definitely need to rerun it after making some adjustments. I also need to check the source scan since it didn’t run due to an exit, so I’ll ensure that gets taken care of as well. I just want to get everything working smoothly!",
      "codex_reasoning_items": [
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          "type": "reasoning",
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          "id": "rs_064af6ee3d6528eb016a09a0d534f48191924cfa09a07936d6",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Adjusting script settings**\n\nI’m realizing that the script is a bit too strict. It seems like the source runtime is code while allowing synthetic examples. I definitely need to rerun it after making some adjustments. I also need to check the source scan since it didn’t run due to an exit, so I’ll ensure that gets taken care of as well. I just want to get everything working smoothly!"
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Git-Safety-Prüfung war zu streng und hat erlaubte synthetic examples sowie Runtime-Code fälschlich markiert; ich wiederhole mit Sprint-relevanter Regel: keine echten CSV/XLS/DB/Runtime-Daten außerhalb erlaubter synthetic fixtures und kein `jarvis_runtime` im Repo."
            }
          ],
          "id": "msg_064af6ee3d6528eb016a09a0d7618c8191971e7015c317de58",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_BdKYj6tIn3ZAkinkwgrEVILf",
          "call_id": "call_BdKYj6tIn3ZAkinkwgrEVILf",
          "response_item_id": "fc_064af6ee3d6528eb016a09a0d7d9c08191adeaaac768b1fb39",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\ngit diff --check\\npython - <<'PY'\\nimport pathlib,re,subprocess,sys\\ntracked=subprocess.check_output(['git','ls-files'], text=True).splitlines()\\nviolations=[]\\nfor f in tracked:\\n    fl=f.lower()\\n    if f.startswith('examples/synthetic/'):\\n        continue\\n    if f.startswith('src/jarvis_finance/runtime/'):\\n        continue\\n    if 'jarvis_runtime' in f or fl.endswith(('.csv','.xls','.xlsx','.sqlite','.sqlite3','.db')):\\n        violations.append(f)\\nprint('git_safety_tracked_real_runtime_or_spreadsheets', violations)\\nif violations:\\n    sys.exit(2)\\nPY\\npython - <<'PY'\\nimport pathlib,re,sys\\npatterns=[re.compile(r'(?i)(api[_-]?key|secret|token|password)\\\\s*[:=]\\\\s*[\\\"\\\\']?[A-Za-z0-9_./+=-]{16,}'), re.compile(r'ghp_[A-Za-z0-9]{20,}'), re.compile(r'sk-[A-Za-z0-9]{20,}')]\\npaths=[p for p in pathlib.Path('src').rglob('*') if p.is_file()] + [p for p in pathlib.Path('frontend/src').rglob('*') if p.is_file()]\\nhits=[]\\nfor p in paths:\\n    text=p.read_text(errors='ignore')\\n    for i,line in enumerate(text.splitlines(),1):\\n        if any(rx.search(line) for rx in patterns):\\n            hits.append(f'{p}:{i}')\\nprint('source_secret_scan_hits', hits)\\nif hits:\\n    sys.exit(3)\\nPY\\npython - <<'PY'\\nimport pathlib,re,sys\\nhits=[]\\nfor p in pathlib.Path('frontend/dist').rglob('*'):\\n    if p.is_file():\\n        text=p.read_text(errors='ignore')\\n        if re.search(r'(?i)(api[_-]?key|secret|token|password)\\\\s*[:=]', text) or re.search(r'(ghp_|sk-)[A-Za-z0-9]{20,}', text):\\n            hits.append(str(p))\\nprint('frontend_build_secret_scan_hits', hits)\\nif hits:\\n    sys.exit(4)\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"git_safety_tracked_real_runtime_or_spreadsheets ['tests/fixtures/accounts.csv', 'tests/fixtures/cash_balances_initial.csv', 'tests/fixtures/crypto_holdings_initial.csv', 'tests/fixtures/crypto_transactions.csv', 'tests/fixtures/crypto_wallets.csv', 'tests/fixtures/instruments.csv', 'tests/fixtures/transactions.csv', 'tests/fixtures/watchlist.csv']\", \"exit_code\": 2, \"error\": null}",
      "tool_call_id": "call_BdKYj6tIn3ZAkinkwgrEVILf"
    },
    {
      "role": "assistant",
      "content": "Auch Test-Fixtures sind erlaubte Synthetic CSVs. Dritte und korrekte Prüfung: keine neuen/echten Importdateien, keine Runtime‑DB.",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCaDmpCE8SPZsId7fD2Y4PS8v3lmB1W5h5MR7J9sZW0ld6oJnHbJvYtB5xaq2v3RPPKuzW8XCx4Rvoq1Twqzqh5lSYPV8SjFekmVHBs5VXHampXyZLYgW9-jaAlLC5fRtdHYcSXWV7uPa8Jk-4vOsey3W7o1qbuxf4hLq-G21GWgv4WzcWpHWds92WAY-xiMGLm7tBpMcg3jC5e6tfzPHrY1n3kA2j-v70ougyUVPI4VoDqe9fZ0sPp9W-cBEH83ISZe5SBgJmrzKQmFr64gcf44Ip8lpVMztiGpfgSokfNzAz71trF0UUqycPjVtol5QgnWn6o3JCkTIHHbqBk7IYjFbZDDVHx5QxHnsx2fbv7IOSFfkhIXYZUg-jxeE6nDlDCHTURakkmW3PpUN6EqO5o5WrWaVmreLT0Jflo4vOs0yQyJ4-vtLx3o2pm0vcHP-FrirquFZYMWW0UtHfGcrlsu37phxhml4yXB4Jd0yBxaybUnaE5WPnfAqYCxdwbXn4STmFwACWL9Hxi4Hz584pOts-bOr7lSYdQA5ktgT_kcev7mmHmf5k7s2cxJ7rU77dMHq31oi0Z7RYGOY0KOjTLVjPqI07EmpVMGNOSYftETQgpNrkYRmKi59wZUAaPlV6HZEYtQN52i5QIiYS0pZTGzkQ9YD7g337TGp8goua-F7Uza9HqP1EVaEaMFHeUdjGgwsCLrUDI0kIxT1I-_3Ns2TcDQAmFZc3aUpLINWZbPAfrdBSbzULU9FLDV15R1LjB3Pcvq8sUGKcrk6nY7maVqgi4iaKdwdEmcVkoe7t_sjznsESpLWz-tHH5hchU5A3idnq7dvToDQl6w6SzIscCpgMmOjQiYIUOqHBTvyvkjFgLO-ux4PmGG3dgZh9ltvuDIP2uRPhpNpD4k-XmKEpbCP_PsdAJilaKLVWf51LJz4FbKtHVFuo0w5FyUCAYGkX5ETy21g1PnBNu2d9CwhUfOYlA==",
          "id": "rs_064af6ee3d6528eb016a09a0e6183481918bb5ff207e08b032",
          "summary": []
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Auch Test-Fixtures sind erlaubte Synthetic CSVs. Dritte und korrekte Prüfung: keine neuen/echten Importdateien, keine Runtime‑DB."
            }
          ],
          "id": "msg_064af6ee3d6528eb016a09a0e67ddc8191b9de8cd611627574",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_hESc1mOjAvib0ys0lkriNff2",
          "call_id": "call_hESc1mOjAvib0ys0lkriNff2",
          "response_item_id": "fc_064af6ee3d6528eb016a09a0e73e348191949f31b2c31622cd",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\ngit diff --check\\npython - <<'PY'\\nimport pathlib,re,subprocess,sys\\ntracked=subprocess.check_output(['git','ls-files'], text=True).splitlines()\\nviolations=[]\\nfor f in tracked:\\n    fl=f.lower()\\n    if f.startswith(('examples/synthetic/','tests/fixtures/')):\\n        continue\\n    if f.startswith('src/jarvis_finance/runtime/'):\\n        continue\\n    if 'jarvis_runtime' in f or fl.endswith(('.csv','.xls','.xlsx','.sqlite','.sqlite3','.db')):\\n        violations.append(f)\\nprint('git_safety_tracked_real_runtime_or_spreadsheets', violations)\\nif violations:\\n    sys.exit(2)\\nPY\\npython - <<'PY'\\nimport pathlib,re,sys\\npatterns=[re.compile(r'(?i)(api[_-]?key|secret|token|password)\\\\s*[:=]\\\\s*[\\\"\\\\']?[A-Za-z0-9_./+=-]{16,}'), re.compile(r'ghp_[A-Za-z0-9]{20,}'), re.compile(r'sk-[A-Za-z0-9]{20,}')]\\npaths=[p for p in pathlib.Path('src').rglob('*') if p.is_file()] + [p for p in pathlib.Path('frontend/src').rglob('*') if p.is_file()]\\nhits=[]\\nfor p in paths:\\n    text=p.read_text(errors='ignore')\\n    for i,line in enumerate(text.splitlines(),1):\\n        if any(rx.search(line) for rx in patterns):\\n            hits.append(f'{p}:{i}')\\nprint('source_secret_scan_hits', hits)\\nif hits:\\n    sys.exit(3)\\nPY\\npython - <<'PY'\\nimport pathlib,re,sys\\nhits=[]\\nfor p in pathlib.Path('frontend/dist').rglob('*'):\\n    if p.is_file():\\n        text=p.read_text(errors='ignore')\\n        if re.search(r'(?i)(api[_-]?key|secret|token|password)\\\\s*[:=]', text) or re.search(r'(ghp_|sk-)[A-Za-z0-9]{20,}', text):\\n            hits.append(str(p))\\nprint('frontend_build_secret_scan_hits', hits)\\nif hits:\\n    sys.exit(4)\\nPY\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"git_safety_tracked_real_runtime_or_spreadsheets []\\nsource_secret_scan_hits []\\nfrontend_build_secret_scan_hits []\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_hESc1mOjAvib0ys0lkriNff2"
    },
    {
      "role": "assistant",
      "content": "Verifikation ist grün. Für Commit/Push lade ich jetzt den GitHub-Workflow-Skill und committe gezielt nur Code/Tests — keine Runtime-Daten.",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
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      "content": "{\"success\": true, \"name\": \"github-pr-workflow\", \"description\": \"GitHub PR lifecycle: branch, commit, open, CI, merge.\", \"tags\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"], \"content\": \"---\\nname: github-pr-workflow\\ndescription: \\\"GitHub PR lifecycle: branch, commit, open, CI, merge.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n  hermes:\\n    tags: [GitHub, Pull-Requests, CI/CD, Git, Automation, Merge]\\n    related_skills: [github-auth, github-code-review]\\n---\\n\\n# GitHub Pull Request Workflow\\n\\nComplete guide for managing the PR lifecycle. Each section shows the `gh` way first, then the `git` + `curl` fallback for machines without `gh`.\\n\\nFor private HTTPS remotes where an agent must push with a token but PR creation may be blocked by token scope, see `references/private-repo-token-push-pr.md`.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n- Inside a git repository with a GitHub remote\\n\\n### Quick Auth Detection\\n\\n```bash\\n# Determine which method to use throughout this workflow\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n  AUTH=\\\"gh\\\"\\nelse\\n  AUTH=\\\"git\\\"\\n  # Ensure we have a token for API calls\\n  if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n    if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n      GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n    elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n      GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n    fi\\n  fi\\nfi\\necho \\\"Using: $AUTH\\\"\\n```\\n\\n### Extracting Owner/Repo from the Git Remote\\n\\nMany `curl` commands need `owner/repo`. Extract it from the git remote:\\n\\n```bash\\n# Works for both HTTPS and SSH remote URLs\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\necho \\\"Owner: $OWNER, Repo: $REPO\\\"\\n```\\n\\n---\\n\\n## 1. Branch Creation\\n\\nThis part is pure `git` — identical either way:\\n\\n```bash\\n# Make sure you're up to date\\ngit fetch origin\\ngit checkout main && git pull origin main\\n\\n# Create and switch to a new branch\\ngit checkout -b feat/add-user-authentication\\n```\\n\\nBranch naming conventions:\\n- `feat/description` — new features\\n- `fix/description` — bug fixes\\n- `refactor/description` — code restructuring\\n- `docs/description` — documentation\\n- `ci/description` — CI/CD changes\\n\\n## 2. Making Commits\\n\\nUse the agent's file tools (`write_file`, `patch`) to make changes, then commit:\\n\\n```bash\\n# Stage specific files\\ngit add src/auth.py src/models/user.py tests/test_auth.py\\n\\n# Commit with a conventional commit message\\ngit commit -m \\\"feat: add JWT-based user authentication\\n\\n- Add login/register endpoints\\n- Add User model with password hashing\\n- Add auth middleware for protected routes\\n- Add unit tests for auth flow\\\"\\n```\\n\\nCommit message format (Conventional Commits):\\n```\\ntype(scope): short description\\n\\nLonger explanation if needed. Wrap at 72 characters.\\n```\\n\\nTypes: `feat`, `fix`, `refactor`, `docs`, `test`, `ci`, `chore`, `perf`\\n\\n## 3. Pushing and Creating a PR\\n\\n### Push the Branch (same either way)\\n\\n```bash\\ngit push -u origin HEAD\\n```\\n\\nIf the remote is HTTPS and interactive username/password prompts fail in an agent/non-TTY environment, use a temporary `GIT_ASKPASS` helper instead of embedding tokens in the remote URL. Keep the token in an environment variable, never echo it, and remove the helper after push/verification:\\n\\n```bash\\n# Ensure the askpass child process can see the token.\\nexport GITHUB_TOKEN\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/bin/sh\\ncase \\\"$1\\\" in\\n  *Username*) printf '%s\\\\n' x-access-token ;;\\n  *Password*) printf '%s\\\\n' \\\"$GITHUB_TOKEN\\\" ;;\\n  *) printf '\\\\n' ;;\\nesac\\nSH\\nchmod 700 \\\"$ASKPASS\\\"\\ntrap 'rm -f \\\"$ASKPASS\\\"' EXIT\\nGIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git push -u origin HEAD\\n\\n# Optional authenticated remote-hash verification for private repos.\\nBRANCH=$(git branch --show-current)\\nLOCAL=$(git rev-parse HEAD)\\nREMOTE=$(GIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git ls-remote origin \\\"refs/heads/$BRANCH\\\" | awk '{print $1}')\\ntest \\\"$LOCAL\\\" = \\\"$REMOTE\\\"\\n\\nrm -f \\\"$ASKPASS\\\"\\n```\\n\\nThe `export GITHUB_TOKEN` line is not cosmetic: `GIT_ASKPASS` executes as a child process, so a shell variable that is not exported will look empty and GitHub will reject the push as an invalid username/token even when token extraction succeeded.\\n\\nDo not set token-bearing remotes, print token values, or leave askpass scripts behind.\\n\\n**Important permission pitfall:** a token that can push via HTTPS is not guaranteed to have REST/GraphQL permission to create PRs. After push, verify local/remote hash equality first. If PR creation returns `403 Forbidden`, do not retry by printing or broadening token handling in chat; report the pushed branch and GitHub's `/pull/new/<branch>` URL so the user can create the PR manually or provide a token with the required repo/pull-request scope.\\n\\n### Create the PR\\n\\n**With gh:**\\n\\n```bash\\ngh pr create \\\\\\n  --title \\\"feat: add JWT-based user authentication\\\" \\\\\\n  --body \\\"## Summary\\n- Adds login and register API endpoints\\n- JWT token generation and validation\\n\\n## Test Plan\\n- [ ] Unit tests pass\\n\\nCloses #42\\\"\\n```\\n\\nOptions: `--draft`, `--reviewer user1,user2`, `--label \\\"enhancement\\\"`, `--base develop`\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  -H \\\"Accept: application/vnd.github.v3+json\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/pulls \\\\\\n  -d \\\"{\\n    \\\\\\\"title\\\\\\\": \\\\\\\"feat: add JWT-based user authentication\\\\\\\",\\n    \\\\\\\"body\\\\\\\": \\\\\\\"## Summary\\\\nAdds login and register API endpoints.\\\\n\\\\nCloses #42\\\\\\\",\\n    \\\\\\\"head\\\\\\\": \\\\\\\"$BRANCH\\\\\\\",\\n    \\\\\\\"base\\\\\\\": \\\\\\\"main\\\\\\\"\\n  }\\\"\\n```\\n\\nThe response JSON includes the PR `number` — save it for later commands.\\n\\nTo create as a draft, add `\\\"draft\\\": true` to the JSON body.\\n\\n## 4. Monitoring CI Status\\n\\n### Check CI Status\\n\\n**With gh:**\\n\\n```bash\\n# One-shot check\\ngh pr checks\\n\\n# Watch until all checks finish (polls every 10s)\\ngh pr checks --watch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Get the latest commit SHA on the current branch\\nSHA=$(git rev-parse HEAD)\\n\\n# Query the combined status\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n  | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nprint(f\\\\\\\"Overall: {data['state']}\\\\\\\")\\nfor s in data.get('statuses', []):\\n    print(f\\\\\\\"  {s['context']}: {s['state']} - {s.get('description', '')}\\\\\\\")\\\"\\n\\n# Also check GitHub Actions check runs (separate endpoint)\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/check-runs \\\\\\n  | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nfor cr in data.get('check_runs', []):\\n    print(f\\\\\\\"  {cr['name']}: {cr['status']} / {cr['conclusion'] or 'pending'}\\\\\\\")\\\"\\n```\\n\\n### Poll Until Complete (git + curl)\\n\\n```bash\\n# Simple polling loop — check every 30 seconds, up to 10 minutes\\nSHA=$(git rev-parse HEAD)\\nfor i in $(seq 1 20); do\\n  STATUS=$(curl -s \\\\\\n    -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n    https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n    | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['state'])\\\")\\n  echo \\\"Check $i: $STATUS\\\"\\n  if [ \\\"$STATUS\\\" = \\\"success\\\" ] || [ \\\"$STATUS\\\" = \\\"failure\\\" ] || [ \\\"$STATUS\\\" = \\\"error\\\" ]; then\\n    break\\n  fi\\n  sleep 30\\ndone\\n```\\n\\n## 5. Auto-Fixing CI Failures\\n\\nWhen CI fails, diagnose and fix. This loop works with either auth method.\\n\\n### Step 1: Get Failure Details\\n\\n**With gh:**\\n\\n```bash\\n# List recent workflow runs on this branch\\ngh run list --branch $(git branch --show-current) --limit 5\\n\\n# View failed logs\\ngh run view <RUN_ID> --log-failed\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\n# List workflow runs on this branch\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  \\\"https://api.github.com/repos/$OWNER/$REPO/actions/runs?branch=$BRANCH&per_page=5\\\" \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nruns = json.load(sys.stdin)['workflow_runs']\\nfor r in runs:\\n    print(f\\\\\\\"Run {r['id']}: {r['name']} - {r['conclusion'] or r['status']}\\\\\\\")\\\"\\n\\n# Get failed job logs (download as zip, extract, read)\\nRUN_ID=<run_id>\\ncurl -s -L \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \\\\\\n  -o /tmp/ci-logs.zip\\ncd /tmp && unzip -o ci-logs.zip -d ci-logs && cat ci-logs/*.txt\\n```\\n\\n### Step 2: Fix and Push\\n\\nAfter identifying the issue, use file tools (`patch`, `write_file`) to fix it:\\n\\n```bash\\ngit add <fixed_files>\\ngit commit -m \\\"fix: resolve CI failure in <check_name>\\\"\\ngit push\\n```\\n\\n### Step 3: Verify\\n\\nRe-check CI status using the commands from Section 4 above.\\n\\n### Auto-Fix Loop Pattern\\n\\nWhen asked to auto-fix CI, follow this loop:\\n\\n1. Check CI status → identify failures\\n2. Read failure logs → understand the error\\n3. Use `read_file` + `patch`/`write_file` → fix the code\\n4. `git add . && git commit -m \\\"fix: ...\\\" && git push`\\n5. Wait for CI → re-check status\\n6. Repeat if still failing (up to 3 attempts, then ask the user)\\n\\n## 6. Merging\\n\\n**With gh:**\\n\\n```bash\\n# Squash merge + delete branch (cleanest for feature branches)\\ngh pr merge --squash --delete-branch\\n\\n# Enable auto-merge (merges when all checks pass)\\ngh pr merge --auto --squash --delete-branch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nPR_NUMBER=<number>\\n\\n# Merge the PR via API (squash)\\ncurl -s -X PUT \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/merge \\\\\\n  -d \\\"{\\n    \\\\\\\"merge_method\\\\\\\": \\\\\\\"squash\\\\\\\",\\n    \\\\\\\"commit_title\\\\\\\": \\\\\\\"feat: add user authentication (#$PR_NUMBER)\\\\\\\"\\n  }\\\"\\n\\n# Delete the remote branch after merge\\nBRANCH=$(git branch --show-current)\\ngit push origin --delete $BRANCH\\n\\n# Switch back to main locally\\ngit checkout main && git pull origin main\\ngit branch -d $BRANCH\\n```\\n\\nMerge methods: `\\\"merge\\\"` (merge commit), `\\\"squash\\\"`, `\\\"rebase\\\"`\\n\\n### Enable Auto-Merge (curl)\\n\\n```bash\\n# Auto-merge requires the repo to have it enabled in settings.\\n# This uses the GraphQL API since REST doesn't support auto-merge.\\nPR_NODE_ID=$(curl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \\\\\\n  | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['node_id'])\\\")\\n\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/graphql \\\\\\n  -d \\\"{\\\\\\\"query\\\\\\\": \\\\\\\"mutation { enablePullRequestAutoMerge(input: {pullRequestId: \\\\\\\\\\\\\\\"$PR_NODE_ID\\\\\\\\\\\\\\\", mergeMethod: SQUASH}) { clientMutationId } }\\\\\\\"}\\\"\\n```\\n\\n## 7. Complete Workflow Example\\n\\n```bash\\n# 1. Start from clean main\\ngit checkout main && git pull origin main\\n\\n# 2. Branch\\ngit checkout -b fix/login-redirect-bug\\n\\n# 3. (Agent makes code changes with file tools)\\n\\n# 4. Commit\\ngit add src/auth/login.py tests/test_login.py\\ngit commit -m \\\"fix: correct redirect URL after login\\n\\nPreserves the ?next= parameter instead of always redirecting to /dashboard.\\\"\\n\\n# 5. Push\\ngit push -u origin HEAD\\n\\n# 6. Create PR (picks gh or curl based on what's available)\\n# ... (see Section 3)\\n\\n# 7. Monitor CI (see Section 4)\\n\\n# 8. Merge when green (see Section 6)\\n```\\n\\n## Useful PR Commands Reference\\n\\n| Action | gh | git + curl |\\n|--------|-----|-----------|\\n| List my PRs | `gh pr list --author @me` | `curl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\"https://api.github.com/repos/$OWNER/$REPO/pulls?state=open\\\"` |\\n| View PR diff | `gh pr diff` | `git diff main...HEAD` (local) or `curl -H \\\"Accept: application/vnd.github.diff\\\" ...` |\\n| Add comment | `gh pr comment N --body \\\"...\\\"` | `curl -X POST .../issues/N/comments -d '{\\\"body\\\":\\\"...\\\"}'` |\\n| Request review | `gh pr edit N --add-reviewer user` | `curl -X POST .../pulls/N/requested_reviewers -d '{\\\"reviewers\\\":[\\\"user\\\"]}'` |\\n| Close PR | `gh pr close N` | `curl -X PATCH .../pulls/N -d '{\\\"state\\\":\\\"closed\\\"}'` |\\n| Check out someone's PR | `gh pr checkout N` | `git fetch origin pull/N/head:pr-N && git checkout pr-N` |\\n\", \"path\": \"github/github-pr-workflow/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/github/github-pr-workflow\", \"linked_files\": {\"references\": [\"references/private-repo-token-push-pr.md\", \"references/conventional-commits.md\", \"references/ci-troubleshooting.md\"], \"templates\": [\"templates/pr-body-bugfix.md\", \"templates/pr-body-feature.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"]}}}",
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          "encrypted_content": "gAAAAABqCaEPzulV_t9KSaenqnXFubVT2wSgTFuIquUiVgpHK-L6jyFjFvIdfMicin7Q_r3KZvKqscSHfInyOfC15DrbELvU1HK59exGk8KGt3BQG27o-EM5lDN-qEWwn7ODOPheVlunUkBpyQVOloJuY44USW6jNgpz2T6XZF2T-oNdWTnFV9byf1qGzrIMPsacPR8wZ-CxclZs4sbHecrtOGl1VKYJf65j5nYt9oS6VKfFE_88DpTWq4w4emqpL-JfP3VDmRlrpd5wVVSkjgZ5OQ_DvLcgEmer4jr9j8a73L_hRgQqzpmv6kXRID4kUco-c6cGsgSIWyrYO5I9njBTv5_Hj2Kyg-6Y5IkoVPWKQ-Hn_TaU7j7fWYFaw9AmQ5XTTqmoqj1e9qU273anRDnQgwPqWosSyNp_wGjIPpf4Q-f520rgAsefdVo6bRa4HsYGwurZm2IDTY2-PzyQhQP-1Gp9Z3WshFX18amVBXiqNyYwx-iWQsU9OWd_Vmf4fojM52hUPxD-r-mp9q5u60orLA_zF0trlW9ZqFnqPPQZ25-aYebmNzgygJBC1RPkQ0aChgycSPo62rwqHH15oyPQaw-Gm3mAgY68OvLxx71NCHf3frJp0AVtr50hPYb16jQGW3xME-kSO1grmZG3siF1tf6zL3n_Ez-mk13Z0eUPWVVZ9TKcjS2oN6l4w0jt1zmiSepEYa2xGNEEc2qvlqkbwTKqIexb7DXwOIp28Fmk5DOHrPQqoAv2_84T0ozrXxPryNDzShwAl7NyfwadD4tjcY-UAz01P6U_pTuxQsbUHN_mfV74_tjwyZv7p8NTiboR5v9zXps_ermiG_uDC-_kkXlTJ3F1xkS2QfGHMSePxBO9TMvMYUqoX-nbnxByti5xs3u9fjOkJ4j00Qy8gAIivP6QW8gBsNJYzj1hMnJ-rhUskXvWPiSYRcTZbnJPDofc2A_SC8n5qikl_YvYjToHDd3Mn4KvBzBqLLZixeTSKtKWkBb4YWDY9s_nhI98OI1C08ZlkXNDFws0usL6La3RIc41YkAsYrPkdEOpub77t2WvNXgc8McQJBOB4akeflngTYVbnifta2HtD1ywI59n4oer5BJPK6EY9ilDcvl1wpmk0UbgFs_YVL5MLN4B4xP72brq53dwRuR15lX0mM2A8GTWeFRvKYoUJN25x5zYCM_EhQYQgZa1aRLdMCBP-jVXN2nN7a6zUmtX55z5AQJEPID4kY_2qw==",
          "id": "rs_064af6ee3d6528eb016a09a1044d34819194dadbfafb649f7c",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Evaluating git actions**\n\nIt seems like my diff stat didn't include an untracked file, so I realize I need to use `git add` first. I'm on the branch `feat/budget-phase-1-4`, and the user wants me to push. I guess I should commit first, but I’m wondering if I also need to create a remote branch. I think I can just commit on the same branch. After adding, I might want to check with `git diff --stat --staged`."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_iXW04FbJ8xz7ThU6t1F2xAta",
          "call_id": "call_iXW04FbJ8xz7ThU6t1F2xAta",
          "response_item_id": "fc_064af6ee3d6528eb016a09a10f96708191bd59e748842de609",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\ngit add frontend/src/api/budget.ts frontend/src/pages/BudgetImportReviewPage.vue src/jarvis_finance/api/routers/budget.py src/jarvis_finance/services/budget_imports.py src/jarvis_finance/storage/migrations.py tests/unit/test_budget_phase1.py tests/unit/test_budget_phase11.py tests/unit/test_budget_phase12_seed_review.py tests/unit/test_schema.py tests/unit/test_budget_phase15_source_aware_imports.py\\ngit diff --cached --check\\ngit commit -m \\\"fix(budget): add source-aware import review rules\\n\\n- aggregate Migros article rows into receipt candidates\\n- mark card Migros rows as covered by Migros source\\n- add smart review filters and candidate actions\\n- add MVP-light import rules for card, Migros, and bank CSVs\\n- keep runtime CSVs and database out of git\\\"\",\"timeout\":180,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"[feat/budget-phase-1-4 0748591] fix(budget): add source-aware import review rules\\n 10 files changed, 694 insertions(+), 37 deletions(-)\\n create mode 100644 tests/unit/test_budget_phase15_source_aware_imports.py\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_iXW04FbJ8xz7ThU6t1F2xAta"
    },
    {
      "role": "assistant",
      "content": "Commit erstellt. Ich pushe und verifiziere anschließend den Remote-Hash.",
      "reasoning": "**Considering git push**\n\nI need to ensure I'm properly pushing my changes. Should I verify authentication first? Maybe I need to check if the branch is already being tracked. It seems like using `git push` could be the next step, but I want to make sure everything is set up correctly before I do that. It's easy to overlook small details here, and I want to avoid issues down the line. Let's confirm what I need to do!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering git push**\n\nI need to ensure I'm properly pushing my changes. Should I verify authentication first? Maybe I need to check if the branch is already being tracked. It seems like using `git push` could be the next step, but I want to make sure everything is set up correctly before I do that. It's easy to overlook small details here, and I want to avoid issues down the line. Let's confirm what I need to do!",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCaEdzJ-lmPxSDx77LfSGFbHALFP-CL9T5eDHIALgwNhvn6gr4bLLZrnxtFpKNNdtqblsOhnVRghjOXLmUjQAvul3R0vhMahCmoxEKwBltgrZtpk5BFCk5TL2kAf1hnjYX-40WMIMXNs-Ao1u6t_6EioQgSNSJ0_a9I9YaH2oIVF73ujohAG0gsG7FPYwovgth9qWSGUohD19el184d8FIVL4E9zLCyQ7pK2Uz_RVuod756R7oz7mWXu8gKHGdzhu6pEQ2VzvAUfsKeszUnelSyN8oLsrs7T5dDKEbhQkg3SxhtK-b5cD576LNI01m2bArI0erIQBOXkvIxuD9w4HK_G2wejuVPxljglmunyjpEZdnOekcIUfBeSLva9c6upDl1QPGbysuJzvU_gacadZSN8oeFLnKqfxDGill7Q5Jk0q5mHBqH2ETY-aqEbz-Y3_qKQ049-XRBaHUjTBMypaUgH-OQfzhbj6puBRsslF3qyczY-tSawwyFF9VQOtT8d_sD3Vz-97NQzVuFhHrBlYXlLqELV1uKeGA5YpPMATYc8hOyzlTn1K_2F33LuLn3EdQ2zgcMgA-RzL9JH7-OsVO-jd0HH3cTmiXaYhX8NT6MxKW2LjxQ_csymByiGqIBmOhYh6S_4Sf5h-K_7KLeFKK0Nm5qEUq4E0S3euJ7ACMITy82Kj2opE6K4oMHgIOt5MWYmQ8Osat0aX3X7NQ2NqUTJ4E5QcF6h7pbBrLOP4fBae_92XNkw9b9VMKT26_RQMzv89vqWwIqPFWKMHBBHCO6Yb0eNNLAhhAmfMqlqcSkvHy2BhLMIUqT5zdpiDruxnX-yGO9FliILbzH4dGUA8OJmb1ZsqWDvT2-bMg_f8Pe_itXgmMEFowSWJ0ZM3nm7Tv9yc0b0vDcbGiBncgUNcH6CLE75ExOdo07FchKYd531ZomUKO5SP-nPB8lPlapieS8DQyJpkLDu0HFKI0eVT7gVlTWZ0aFmvlikOPlJ1l0YBhoJcON_wpUh9Wvommx6wuGVn",
          "id": "rs_064af6ee3d6528eb016a09a11bbb748191abf6241566d7553f",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering git push**\n\nI need to ensure I'm properly pushing my changes. Should I verify authentication first? Maybe I need to check if the branch is already being tracked. It seems like using `git push` could be the next step, but I want to make sure everything is set up correctly before I do that. It's easy to overlook small details here, and I want to avoid issues down the line. Let's confirm what I need to do!"
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Commit erstellt. Ich pushe und verifiziere anschließend den Remote-Hash."
            }
          ],
          "id": "msg_064af6ee3d6528eb016a09a11d3d0c819185b5849cfa415f78",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_OX1wRmTiEO8Yk2DYaTxoPRej",
          "call_id": "call_OX1wRmTiEO8Yk2DYaTxoPRej",
          "response_item_id": "fc_064af6ee3d6528eb016a09a11d5004819190e8441721bdabd3",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\ngit push -u origin HEAD\\nBRANCH=$(git branch --show-current)\\nLOCAL=$(git rev-parse HEAD)\\nREMOTE=$(git ls-remote origin \\\"refs/heads/$BRANCH\\\" | awk '{print $1}')\\necho \\\"branch=$BRANCH\\\"\\necho \\\"local=$LOCAL\\\"\\necho \\\"remote=$REMOTE\\\"\\ntest \\\"$LOCAL\\\" = \\\"$REMOTE\\\"\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"fatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden\", \"exit_code\": 128, \"error\": null}",
      "tool_call_id": "call_OX1wRmTiEO8Yk2DYaTxoPRej"
    },
    {
      "role": "assistant",
      "content": "Push per HTTPS braucht Auth. Ich nutze den bekannten lokalen Token-Pfad per temporärem `GIT_ASKPASS`, ohne Token auszugeben oder Remote zu verändern.",
      "reasoning": "**Inspecting token usage**\n\nI need to work with a token stored in a CSV file, but I mustn’t print it out. The skill I’m using suggests I should check the path for the token in the CSV. Maybe I can use a terminal command to set the token without outputting anything. I’ll also need to understand the format, so I think I should use Python to read the CSV and access the first token for later use.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Inspecting token usage**\n\nI need to work with a token stored in a CSV file, but I mustn’t print it out. The skill I’m using suggests I should check the path for the token in the CSV. Maybe I can use a terminal command to set the token without outputting anything. I’ll also need to understand the format, so I think I should use Python to read the CSV and access the first token for later use.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCaElH42vnKWTN7h1j8KZp_oWBED-OEOCNO-4aHCOM3WVqrznHmg-TRD3fHp5s3IovP-xRuAfsHeIf4j_eAkqVh8YcGGY0HyM1B3zUCOLnINhsoHaumAzdg559Y9Q_IZQLAwUrtj5xV1oDpyX477tzKUyDwynKnbh0yCJoP4XY-Mkv4EDdZfsN2IsrcUJPf2pAdHv2UBORMn_3k_FKpnuYLysWDpobJz-RjEARKV1cQqQe_q280-OIoDMdFgPVVEdFtXRy4NwRCqFTYSSmuxX1pQVcn7xoU0hPI1rP_QEvgrNvjJid7S7Ic4sNh0WATRAf4W5KRyYCpgMBnQjN6ODKWE9evhxbNUf8yojsh4q0r9XDZfB66Jxk4pUm1anNzJFPpDNNTfVwu72M-ToOpRdG6hL6OGgb-vy3PQnGDoGvEswjL4frlX9kZkZYVr040nYnbZaTD64deqovoFwJ-l2n7CPrOHcxGZzQi2PC7tt7Ji61EcY8VIQYKgZck4LHr_yoZ3ZpGx_7IR8CXaaOWRFtx2DZyJzSHimrM8EuyjpbfK8_E6APFiFYJUkgr8dHFn3QM2FaICs4bOmRlHJhH0DWmES61xpTTOeBLkWuBjtxX74e_VZdd3ppEp3LbQyHNf2gQ5zKdVLjNjNe_bLEu-uvlH_lD4YH8BoFw8QpfQ2OOKyyYrF9OCnT6tLzmIJDVVuCxR2dUS37iY1dfrSw4MBN4ZYIY5dj6F0lapsCxqHBCCbR1p60a5MQHYc-K-KMoIWDk06iiH1h1f7jSYRIDEGSuiWSEAa_D4iTnWvj_yipgvsyYUqf-7EPlXGQGnFdTPhrMfkTn9spssxkpJ6_qoZ9FV4r7LBjrtnj2EkV-nlh2V9_CZx0IlVDzAYjh3mLD1XwbJibp_G3H0w7CUd2KVu_D11ylzXM4wdRQnnrvFoelXoJXFfsjYqf5AFoKUy1yZQHU7CLk7bneO0_ts8wOkf77rHw6iOeEikNY8tUThUDROH6MxvKN8tRsRgbVXovpRts8rg2fRBmtv9YOU9a2VbLlpr7gko94nuDEMHaFS2xXh3vl4naRpmm0ZVTV8Sa8MjyXtgXnj0HUfAk_azlGPWU972fZSCxgg90-7h7FyXRwcYLnIQzltti7zK_kgRPTOpr0bmpkVF_H0R-FEKzWysjZPeHKxUwx65KhF0B9IQMxemIRu32oruaMdMWM58B3ZcVRydGDYJkVNKeuzGbIYCYC5HSg==",
          "id": "rs_064af6ee3d6528eb016a09a12325b88191a3eeaedc6a310f90",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Inspecting token usage**\n\nI need to work with a token stored in a CSV file, but I mustn’t print it out. The skill I’m using suggests I should check the path for the token in the CSV. Maybe I can use a terminal command to set the token without outputting anything. I’ll also need to understand the format, so I think I should use Python to read the CSV and access the first token for later use."
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Push per HTTPS braucht Auth. Ich nutze den bekannten lokalen Token-Pfad per temporärem `GIT_ASKPASS`, ohne Token auszugeben oder Remote zu verändern."
            }
          ],
          "id": "msg_064af6ee3d6528eb016a09a125660c81918139885c51c4a741",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_9vTOQBSgevU0yeTJ9AWoxzhZ",
          "call_id": "call_9vTOQBSgevU0yeTJ9AWoxzhZ",
          "response_item_id": "fc_064af6ee3d6528eb016a09a125a5f88191927254539283da8c",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\nTOKEN_FILE=\\\"$HOME/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv\\\"\\nexport GITHUB_TOKEN=$(python - <<'PY'\\nimport csv, os, pathlib, sys\\np=pathlib.Path(os.environ['TOKEN_FILE'])\\ntext=p.read_text().strip()\\n# Accept either one-token text/csv or headered CSV; print token only to env capture, never to logs.\\ntry:\\n    rows=list(csv.reader(text.splitlines()))\\n    vals=[cell.strip() for row in rows for cell in row if cell.strip()]\\nexcept Exception:\\n    vals=[text]\\nfor v in vals:\\n    if len(v) >= 20 and not v.lower().startswith(('token','github')):\\n        print(v)\\n        break\\nPY\\n)\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/bin/sh\\ncase \\\"$1\\\" in\\n  *Username*) printf '%s\\\\n' x-access-token ;;\\n  *Password*) printf '%s\\\\n' \\\"$GITHUB_TOKEN\\\" ;;\\n  *) printf '\\\\n' ;;\\nesac\\nSH\\nchmod 700 \\\"$ASKPASS\\\"\\ntrap 'rm -f \\\"$ASKPASS\\\"' EXIT\\nGIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git push -u origin HEAD\\nBRANCH=$(git branch --show-current)\\nLOCAL=$(git rev-parse HEAD)\\nREMOTE=$(GIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git ls-remote origin \\\"refs/heads/$BRANCH\\\" | awk '{print $1}')\\necho \\\"branch=$BRANCH\\\"\\necho \\\"local=$LOCAL\\\"\\necho \\\"remote=$REMOTE\\\"\\ntest \\\"$LOCAL\\\" = \\\"$REMOTE\\\"\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"Traceback (most recent call last):\\n  File \\\"<stdin>\\\", line 2, in <module>\\n  File \\\"<frozen os>\\\", line 685, in __getitem__\\nKeyError: 'TOKEN_FILE'\\nremote: Invalid username or token. Password authentication is not supported for Git operations.\\nfatal: Authentifizierung fehlgeschlagen für 'https://github.com/Gamexgit/FinanceManager.git/'\", \"exit_code\": 128, \"error\": null}",
      "tool_call_id": "call_9vTOQBSgevU0yeTJ9AWoxzhZ"
    },
    {
      "role": "assistant",
      "content": "Der erste Askpass-Versuch hatte die Pfadvariable nicht exportiert; kein Token wurde geloggt. Ich korrigiere das und pushe erneut.",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCaE3ifRfe_P1ZVHB15XKB_JBndt2KUgrZbMbGP_H2zjKAPxW9L267HF8Eh-FPwWsUI8t9UDKCqQpojKt1YLPGLyHJ7OABLy2VQfp1iTl4RP2LkJfpruZRqq0ooDmv4DqodDFoZLOWw08yKvZHHkWtSpWSvE2QXHmy3fdW45doQYTt0wDE0n67JNmMINRym5ejVdb_u2m4eWP_GfyiDB9wzlct3e-lnLFL8iA1e5RMviS3Lt0uWlAuYQs39hhk3CY1h5IAofKm2nEqPFBrrBFK50bSPXHV_2adDSxApthFKNRnugWxod5MO885IWTdVG5SOKvVD5MBXS9FXDeat3MrzV2uo3HOF9-5AWAFV8ss8Ydzd6q4Y-B6HMHK4NEXzKGbgYVkb3Zq9YPP1b_4jBK2WOd-uUBVacbjFlBvBBle2nmjoVXNleN7YWeyKCLe2UdDPkekbnNossBS-POvilVMKIZaLX9VZYYzHcL4990uSEOEMXnTdkWsESF3bS_1MXGPV0AemcGOP3kGV26unw4Qh7eulKaeY93rgognqFXVsUUqbxBUiPLXBLhcTnzBt0yYdDRKwDQfJYxXIzt4Rb-mVQhKXfZJj6gYGwGhWFM9cKm8qF3vUutulBCoTt93XrUkItxla07QSi45gRhXRWsDQkYQBOzZ9z2n0RAu28c-IdhJt92ChJRzNex4x64XsVsBePH-oNtJFHi66X1ozWIRSxOqs7hTpqFtuzb65nu5mJhE5qAsrb1qcBSmteMqxiOZHSQaajW-GUHAPzVZPvXvogc8ZpYM3J3WVEcNNZQXg0lbLD8Ur8w9v3Sijdk3XCxyFQAvlpO-JjfDLn1bKe_vojdJKXDVEUGvxbsnjavMh7KUKnG9BlbhAW6ijyeeMVTB-i3H4Mfd-6q3HDY1Oe3hd3IuAZptEVW2P8jRJVC70cJhO-Hqjpyj793CJtqtAK2yp1iy1M9QHSifESmYJfuafL-0Lw23eN8oZO-oMUnQDqUlwKgUibFCi7DYiXu88b2tZjJ",
          "id": "rs_064af6ee3d6528eb016a09a1342040819190134b9571343fc2",
          "summary": []
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Der erste Askpass-Versuch hatte die Pfadvariable nicht exportiert; kein Token wurde geloggt. Ich korrigiere das und pushe erneut."
            }
          ],
          "id": "msg_064af6ee3d6528eb016a09a13709dc8191b76cd15240746daf",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_mbIYjEGTIlPJ1pgIkJ3tuD51",
          "call_id": "call_mbIYjEGTIlPJ1pgIkJ3tuD51",
          "response_item_id": "fc_064af6ee3d6528eb016a09a137387c8191bf9aa94d397e22bc",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\nexport TOKEN_FILE=\\\"$HOME/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv\\\"\\ntest -f \\\"$TOKEN_FILE\\\"\\nexport GITHUB_TOKEN=$(python - <<'PY'\\nimport csv, os, pathlib\\np=pathlib.Path(os.environ['TOKEN_FILE'])\\ntext=p.read_text().strip()\\nrows=list(csv.reader(text.splitlines()))\\nvals=[cell.strip() for row in rows for cell in row if cell.strip()]\\nfor v in vals:\\n    if len(v) >= 20 and not v.lower().startswith(('token','github','name')):\\n        print(v)\\n        break\\nPY\\n)\\ntest -n \\\"$GITHUB_TOKEN\\\"\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/bin/sh\\ncase \\\"$1\\\" in\\n  *Username*) printf '%s\\\\n' x-access-token ;;\\n  *Password*) printf '%s\\\\n' \\\"$GITHUB_TOKEN\\\" ;;\\n  *) printf '\\\\n' ;;\\nesac\\nSH\\nchmod 700 \\\"$ASKPASS\\\"\\ntrap 'rm -f \\\"$ASKPASS\\\"' EXIT\\nGIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git push -u origin HEAD\\nBRANCH=$(git branch --show-current)\\nLOCAL=$(git rev-parse HEAD)\\nREMOTE=$(GIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git ls-remote origin \\\"refs/heads/$BRANCH\\\" | awk '{print $1}')\\necho \\\"branch=$BRANCH\\\"\\necho \\\"local=$LOCAL\\\"\\necho \\\"remote=$REMOTE\\\"\\ntest \\\"$LOCAL\\\" = \\\"$REMOTE\\\"\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"remote: Invalid username or token. Password authentication is not supported for Git operations.\\nfatal: Authentifizierung fehlgeschlagen für 'https://github.com/Gamexgit/FinanceManager.git/'\", \"exit_code\": 128, \"error\": null}\n\n[Tool loop warning: same_tool_failure_warning; count=3; terminal has failed 3 times this turn. This looks like a loop; change approach before retrying.]",
      "tool_call_id": "call_mbIYjEGTIlPJ1pgIkJ3tuD51"
    },
    {
      "role": "assistant",
      "content": "Auth schlägt mit dem vorhandenen Credential fehl. Ich prüfe nur die Struktur des CSV (Längen/Spalten, keine Werte), damit ich keinen falschen Zellwert als Token benutze.",
      "reasoning": "**Checking token structure**\n\nI don't want to retry blindly here. Maybe the CSV has a header and the token is in the second column? I should inspect the shape without the values to avoid mishaps. I might need to check the number of columns, their lengths, and any prefixes. It's better to avoid using the token directly. I think I can use Python to print the lengths and header names for clarity. Let's see what I can find!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Checking token structure**\n\nI don't want to retry blindly here. Maybe the CSV has a header and the token is in the second column? I should inspect the shape without the values to avoid mishaps. I might need to check the number of columns, their lengths, and any prefixes. It's better to avoid using the token directly. I think I can use Python to print the lengths and header names for clarity. Let's see what I can find!",
      "codex_reasoning_items": [
        {
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          "id": "rs_064af6ee3d6528eb016a09a13fd9908191ba53302095630eeb",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Checking token structure**\n\nI don't want to retry blindly here. Maybe the CSV has a header and the token is in the second column? I should inspect the shape without the values to avoid mishaps. I might need to check the number of columns, their lengths, and any prefixes. It's better to avoid using the token directly. I think I can use Python to print the lengths and header names for clarity. Let's see what I can find!"
            }
          ]
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Auth schlägt mit dem vorhandenen Credential fehl. Ich prüfe nur die Struktur des CSV (Längen/Spalten, keine Werte), damit ich keinen falschen Zellwert als Token benutze."
            }
          ],
          "id": "msg_064af6ee3d6528eb016a09a1423b68819185f0dc30b361d21b",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_GKtSAt0pQ2HFgrxt865euy0P",
          "call_id": "call_GKtSAt0pQ2HFgrxt865euy0P",
          "response_item_id": "fc_064af6ee3d6528eb016a09a14268988191b630579827f2a589",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\npython - <<'PY'\\nimport csv, pathlib, os, json\\np=pathlib.Path.home()/'jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv'\\nrows=list(csv.reader(p.read_text().splitlines()))\\nsummary=[]\\nfor r in rows[:5]:\\n    summary.append([{'len':len(c.strip()), 'prefix': c.strip()[:4] if c.strip() and len(c.strip())<12 else ('ghp_' if c.strip().startswith('ghp_') else '***')} for c in r])\\nprint(json.dumps({'rows':len(rows),'cols':[len(r) for r in rows[:5]],'shape':summary}, ensure_ascii=False))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"{\\\"rows\\\": 2, \\\"cols\\\": [1, 1], \\\"shape\\\": [[{\\\"len\\\": 46, \\\"prefix\\\": \\\"***\\\"}], [{\\\"len\\\": 93, \\\"prefix\\\": \\\"***\\\"}]]}\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_GKtSAt0pQ2HFgrxt865euy0P"
    },
    {
      "role": "assistant",
      "content": "Die Datei enthält offenbar einen Fine‑grained GitHub Token (`github_pat_…`) in der längeren Zeile; mein Filter hat ihn fälschlich als Label übersprungen. Ich nutze jetzt gezielt nur Token-Muster (`github_pat_`, `ghp_`) und verifiziere danach den Remote-Hash.",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCaFMKhEI2ja_VQ_wgXM5GjKpfWGClYMqZOZ4FmFVq6TDQr5vdvh_Uv6x7FNzzgTObCeat3bK4GfdXTACxVvoLOBZvrjfggEIr-Myr-kLyJyO1yr5aZERLU9wqNlDjbg6pzX7F61w45v-t78FEtunP0dTPSWLOtXKVD2WPeBEDnXAu2POOfbqMEMVOEzRK9LOO5R-C-gOeI-Ps-68R4F3i2C9OhaNhtp7ggJnWPSpujSGqHd3D9J6R5nuK0FTtbO4a4ee68gbKwrO4jVL_h9BQapsgijw3Tj3nX-8GH_a1BfIUuajVOpd3zAWyg50ZRZ_GcchdcSp6Z8wX8DMj3hgIyrpOuJKV5nbHCQqzSSsKzNGBsknth9OWFwF0kbRRMfMpGmu7gQx86LvUMXO9IRe5gvB0Go-dfwFbYakdKYWhUfow9UHhOtsg0TYkouWYQ2lFlKtBUKTnsY61FxUpH8eksZfMYPYVHfa5cPE0pa0kIOr_RUZQR2z2bVXb3v9mq-LUvsJgSkSJRSSF4iqd4mKEx6WYEdCs8spDQjm2dcGxFuQOxPYh585akIn3u0r-waTmzPbb5k-iaQRQot1WNx4j7JDya8CLNuSyERKqs7ix2AdR8EswsNgmmgvBf2U6hY_oXo4g30vL2rNLrPiW497xs-WWMZMPSiJRBPGxWlA5gY30UyiGvPYQ4MM6DSwFy0-Nb5q7Oe3-dm6bWuhoUKcRV297u-08XxzRKbytCOoOnOYd7H3GUg1n02SDsIyiLBIxaOzR8buoYzwTEGkS7CmGm0EWgYh4-sCPr8yE3jimoLfxS2ZpLK8g41Fcanvgv0xC0nNZQxr2cfyCuGvbbMZIOfuXaYtOoyoRe7GIkPfYrKSVi7hTW2eDD_ejIMKrWZy0tXr99kvNVQaDO9SERwmN6mAKwRkGsMzvIUG2LPNLHBRWrkLyJcHvtLcfsHWY3txfLuUykUpTvFCMinfrpd0Tjym8G2SjmIJjGIUyR6meDECzAoXTvc6jmmy57e8AiTvv2CywXmFG6GGWuG8iSZFmGPTviK_rMkaKVX6imbYp7dnmnNuKrTh-1y5vLaZBi6ySnGyaK117DBsOS_6wN2HKxWDxEwSVqoxeXFY8QPl4SDx7belPl7-XyZTe2SkNMPtDA_Oi429V_T38eMHc5Q56vIdSUYR7Pl8ddbrgRKVt9f5IKOgGU3akf0YckUDxYeUwYwlOyY_FCiTl_KSMjKjwVIHzYYPINr1F3WYUwovd5gpqc07waPfA0DwLMw8Y4n3cKElNSzmo7aedMmTcyBBqjgcrWC1ccxEHBdW9Sgig2Pjfo3FvCprC4peAZgZakGW8A-RbZZTVoR81sWMZdEuaQjPLwb_3Yshto5HLE2ceIUWMUY8wZYBdZbFDwTNBLWFjdig3ga6kP9wWgfKpbyF5-PtRGQ_VJlqVKwGEvI63NzEEuszFBeonJWzH1kauohFLt2g",
          "id": "rs_064af6ee3d6528eb016a09a149be888191808bcf861989a8b8",
          "summary": []
        }
      ],
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Die Datei enthält offenbar einen Fine‑grained GitHub Token (`github_pat_…`) in der längeren Zeile; mein Filter hat ihn fälschlich als Label übersprungen. Ich nutze jetzt gezielt nur Token-Muster (`github_pat_`, `ghp_`) und verifiziere danach den Remote-Hash."
            }
          ],
          "id": "msg_064af6ee3d6528eb016a09a14ca62881919ba816c5c6f9d2f7",
          "phase": "commentary"
        }
      ],
      "tool_calls": [
        {
          "id": "call_nXLrvs9oYI518CYNQhXB6FNN",
          "call_id": "call_nXLrvs9oYI518CYNQhXB6FNN",
          "response_item_id": "fc_064af6ee3d6528eb016a09a14db06c8191bf113b81ba5d5a8c",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"set -euo pipefail\\nexport TOKEN_FILE=\\\"$HOME/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv\\\"\\nexport GITHUB_TOKEN=$(python - <<'PY'\\nimport csv, os, pathlib\\np=pathlib.Path(os.environ['TOKEN_FILE'])\\nrows=list(csv.reader(p.read_text().splitlines()))\\nvals=[cell.strip() for row in rows for cell in row if cell.strip()]\\nfor v in vals:\\n    if v.startswith(('github_pat_', 'ghp_')):\\n        print(v)\\n        break\\nPY\\n)\\ntest -n \\\"$GITHUB_TOKEN\\\"\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/bin/sh\\ncase \\\"$1\\\" in\\n  *Username*) printf '%s\\\\n' x-access-token ;;\\n  *Password*) printf '%s\\\\n' \\\"$GITHUB_TOKEN\\\" ;;\\n  *) printf '\\\\n' ;;\\nesac\\nSH\\nchmod 700 \\\"$ASKPASS\\\"\\ntrap 'rm -f \\\"$ASKPASS\\\"' EXIT\\nGIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git push -u origin HEAD\\nBRANCH=$(git branch --show-current)\\nLOCAL=$(git rev-parse HEAD)\\nREMOTE=$(GIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git ls-remote origin \\\"refs/heads/$BRANCH\\\" | awk '{print $1}')\\necho \\\"branch=$BRANCH\\\"\\necho \\\"local=$LOCAL\\\"\\necho \\\"remote=$REMOTE\\\"\\ntest \\\"$LOCAL\\\" = \\\"$REMOTE\\\"\",\"timeout\":300,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"To https://github.com/Gamexgit/FinanceManager.git\\n   d86663b..0748591  HEAD -> feat/budget-phase-1-4\\nBranch 'feat/budget-phase-1-4' folgt nun 'origin/feat/budget-phase-1-4'.\\nbranch=feat/budget-phase-1-4\\nlocal=07485912e021ca1bdc5af5f38e5e29984d7e609f\\nremote=07485912e021ca1bdc5af5f38e5e29984d7e609f\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_nXLrvs9oYI518CYNQhXB6FNN"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Considering memory updates**\n\nI’m thinking about saving some memory regarding the token shape. My current memory already notes the CSV path for tokens, but it could be helpful to add some details. For instance, I could mention that the GitHub token CSV contains the label in the first row and the GitHub personal access token (github_pat) in the second row. This could make things more durable and clear for future reference.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering memory updates**\n\nI’m thinking about saving some memory regarding the token shape. My current memory already notes the CSV path for tokens, but it could be helpful to add some details. For instance, I could mention that the GitHub token CSV contains the label in the first row and the GitHub personal access token (github_pat) in the second row. This could make things more durable and clear for future reference.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCaFc_4Ru4wyyvpXV-OutUczqH7eITg0sBhPDo1eMWjb_S0xazz2m3fBp-X6IyoB4O1U37yUQP7VhK2SOyl2ZFsbbEt524QqoVRDt2wIoHYUEr9UjEbndd-TLagrWTnJi2Bta80UEwU3xSxkjA3ggFnrBhRkgooZVhkpK2olJkorIQdH8QlfDnVsR8GEi5NIticrxL0kDuDiBsYM-_iGRM83f9bfoeTp5atB53bjMCjCHCfk5ompBN0vUn3yfdTNltlEsYRKnH6MACLB2A7QTrs2MoRMZLuYuXUzEcfc7PLl3wsqczMqh0qwU53dLiocTgRKMjBXz6r--LoMo2ko_c4zawz8TXgFOCsZnVc4SvlE3iN0T3fkNiqKFHJFYsBqGMY88vX3kSA2ssIIqtiyCu2jS3c22qozfTVe7flUTStE26rGXdSU_8So68H31XJhlfaZyytZPRWykTsFv3ZPzH2AtXfVNPnKmFmcsPlfVjXOdQfIaBQHXPzr6lglR4wWBrVMXaN_SE1tx11mULytQUZ4aZLF87TBI4kjydyPgiuy4vyAEWBV0lzVTiI1YD4YDfpePh8qMBKWJPDsC79dLjsrNX3MsESpiJvP0FjEaCqKZtdvzBVW-Zj-LG5kx0Ur2bJA4W_X1LEYVFG7M9ON5Sm0HinrFenZTMdoZ6KKBan0SdSJa7e-H7GOxoYLYQFgXz8qIF8Y5Uhe6_k0vzzshlCaZd-_FMVzldSvFCyaoVW1KEBiuJVKerbC1yQuYgZMhiHktZAEm-j6mGhNiZRk_U8gQZQHUGbKCoYKu0XYav-VKGfc8vWr-AuYsxTOmPjY-oJQD0he3LzjNCSgJjoqdu91Kb33PuiR-NW_or29nwtvw4uikgPfTwaUzJlA3qRmMPtT9LbIXyfHEIXHR9N5BgL5wVnPFZeL80Y31qwMmvVqJSz9s5In9dvZXxVkmSDmD5xxnOrAIC4fGhJibUQYffF9XYlvOcAj_sOKgYBuvMthB37plIJbBcZCmJFbOId_KcrcvS2WgqliiIf18Ia1jraBS2aqep7q6J9upEmyC3R189RKQNbo5549blnJUtpZXpP1ZjJ7M57Yzl2xC3pxQ87YsZFu62D67wP7ZaNYjRT7V5t7GxiR6AKR1s0ZEB7uL7w7EsMFLYJjjqk94gjge_6WwFQ==",
          "id": "rs_064af6ee3d6528eb016a09a15a12348191b3f6fb5219463ac5",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering memory updates**\n\nI’m thinking about saving some memory regarding the token shape. My current memory already notes the CSV path for tokens, but it could be helpful to add some details. For instance, I could mention that the GitHub token CSV contains the label in the first row and the GitHub personal access token (github_pat) in the second row. This could make things more durable and clear for future reference."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_IOudjn7OOHrgDkwBRQyYvQ9b",
          "call_id": "call_IOudjn7OOHrgDkwBRQyYvQ9b",
          "response_item_id": "fc_064af6ee3d6528eb016a09a15c71cc81919e45a3c2f3a0540c",
          "type": "function",
          "function": {
            "name": "memory",
            "arguments": "{\"action\":\"add\",\"target\":\"memory\",\"content\":\"FinanceManager GitHub token CSV has two single-column rows: first is a label/non-token, second is the actual fine-grained token starting with `github_pat_`; token extraction should select `github_pat_`/`ghp_` patterns, not skip `github*` values.\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "memory",
      "content": "{\"success\": false, \"error\": \"Memory at 2,196/2,200 chars. Adding this entry (245 chars) would exceed the limit. Replace or remove existing entries first.\", \"current_entries\": [\"*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\", \"---\", \"Über mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\", \"Über mich: **Sprache:** Deutsch mit englischen Fachbegriffen\", \"TTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\", \"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\", \"Modellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\", \"OpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\", \"Health 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.\", \"API-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\", \"Google Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\", \"Google Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\", \"Google Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\", \"Google Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\", \"Google Workspace (gog): **Client:** default\", \"Google Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com <command>`\", \"Kalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\", \"Kalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\", \"Kalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\", \"JARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\", \"Telegram 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.\", \"FinanceManager GitHub token CSV path: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv` (outside repo, mode 600); never store/quote token.\"], \"usage\": \"2,196/2,200\"}",
      "tool_call_id": "call_IOudjn7OOHrgDkwBRQyYvQ9b"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Considering memory functions**\n\nI'm realizing that memory failed, and I’m contemplating whether to replace the existing FinanceManager entry. I could use a more compact version that includes the necessary patterns, but I wonder if that's needed since it might take longer. Perhaps I should just replace it with a more concise all-in-one option. I’ll need to ensure I use the replace function correctly with the old text. There’s a bit to think about!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering memory functions**\n\nI'm realizing that memory failed, and I’m contemplating whether to replace the existing FinanceManager entry. I could use a more compact version that includes the necessary patterns, but I wonder if that's needed since it might take longer. Perhaps I should just replace it with a more concise all-in-one option. I’ll need to ensure I use the replace function correctly with the old text. There’s a bit to think about!",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
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              "type": "summary_text",
              "text": "**Considering memory functions**\n\nI'm realizing that memory failed, and I’m contemplating whether to replace the existing FinanceManager entry. I could use a more compact version that includes the necessary patterns, but I wonder if that's needed since it might take longer. Perhaps I should just replace it with a more concise all-in-one option. I’ll need to ensure I use the replace function correctly with the old text. There’s a bit to think about!"
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      "role": "tool",
      "name": "memory",
      "content": "{\"success\": false, \"error\": \"Replacement would put memory at 2,207/2,200 chars. Shorten the new content or remove other entries first.\"}",
      "tool_call_id": "call_sCqcJ01aWnMGj4JhCy7h94Zj"
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    {
      "role": "tool",
      "name": "memory",
      "content": "{\"success\": true, \"target\": \"memory\", \"entries\": [\"*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\", \"---\", \"Über mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\", \"Über mich: **Sprache:** Deutsch mit englischen Fachbegriffen\", \"TTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\", \"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\", \"Modellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\", \"OpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\", \"Health 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.\", \"API-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\", \"Google Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\", \"Google Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\", \"Google Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\", \"Google Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\", \"Google Workspace (gog): **Client:** default\", \"Google Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com <command>`\", \"Kalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\", \"Kalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\", \"Kalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\", \"JARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\", \"Telegram 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.\", \"FinanceManager GitHub token CSV: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv`; use `github_pat_`/`ghp_` cell; never quote token.\"], \"usage\": \"99% — 2,191/2,200 chars\", \"entry_count\": 22, \"message\": \"Entry replaced.\"}",
      "tool_call_id": "call_XTFxSqH6ovo505lR7ewLhWvA"
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      "role": "assistant",
      "content": "Push ist verifiziert. Ich hole noch finalen Status/Counts für den Abschlussbericht.",
      "reasoning": "**Checking git status and database**\n\nI need to ensure my final git status is clean, so I'll check that using the terminal. It’s possible that the runtime database might be dirty, which isn’t related to git. I might need to get counts, maybe using previous data, but what if the AKB counts are 0? I should consider running a final aggregate that includes the bank counts too. It's all a bit tangled, but I think I've got a plan!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Checking git status and database**\n\nI need to ensure my final git status is clean, so I'll check that using the terminal. It’s possible that the runtime database might be dirty, which isn’t related to git. I might need to get counts, maybe using previous data, but what if the AKB counts are 0? I should consider running a final aggregate that includes the bank counts too. It's all a bit tangled, but I think I've got a plan!",
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              "text": "Push ist verifiziert. Ich hole noch finalen Status/Counts für den Abschlussbericht."
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            "arguments": "{\"command\":\"set -euo pipefail\\ngit status --short\\nPYTHONPATH=src python - <<'PY'\\nimport json, pathlib\\nfrom jarvis_finance.storage.database import connect\\nfrom jarvis_finance.storage.migrations import apply_migrations\\nconn=connect(pathlib.Path.home()/'jarvis_runtime/finance-system/data/finance.sqlite3'); apply_migrations(conn)\\nq=lambda sql: conn.execute(sql).fetchone()['c']\\nout={\\n 'credit_card_candidates_total': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_type='credit_card_csv' AND source_file_label LIKE '%phase15%'\\\"),\\n 'credit_card_migros_covered': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_type='credit_card_csv' AND source_file_label LIKE '%phase15%' AND status='covered_by_migros'\\\"),\\n 'subscriptions_auto': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_file_label LIKE '%phase15%' AND classification='subscription_auto'\\\"),\\n 'galaxus_review': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_file_label LIKE '%phase15%' AND classification='galaxus_review'\\\"),\\n 'migros_receipts_total': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_type='migros_receipt' AND source_file_label LIKE '%phase15%'\\\"),\\n 'migros_under_threshold': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_file_label LIKE '%phase15%' AND classification='migros_auto_under_threshold'\\\"),\\n 'migros_over_threshold': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_file_label LIKE '%phase15%' AND classification='migros_review_over_threshold'\\\"),\\n 'migros_line_items': q(\\\"SELECT COUNT(*) c FROM budget_import_line_items WHERE source_file_label LIKE '%phase15%'\\\"),\\n 'akb_candidates': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_type='bank_csv' AND lower(COALESCE(source_file_label,'')) LIKE '%akb%'\\\"),\\n 'raiffeisen_candidates': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_type='bank_csv' AND lower(COALESCE(source_file_label,'')) LIKE '%raiffeisen%'\\\"),\\n 'income_candidates': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE classification='income_candidate'\\\"),\\n 'transfer_candidates': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE classification='transfer_candidate' OR status='transfer_candidate'\\\"),\\n 'possible_duplicates': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status='duplicate'\\\"),\\n 'productive_confirmed_phase15': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE source_file_label LIKE '%phase15%' AND status='confirmed'\\\"),\\n 'review_remaining': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE requires_review=1 AND status IN ('pending','needs_review','duplicate','transfer_candidate')\\\"),\\n 'superseded_migros_articles': q(\\\"SELECT COUNT(*) c FROM budget_transaction_candidates WHERE status='superseded' AND review_reason='superseded_by_migros_receipt_aggregation'\\\"),\\n}\\nprint(json.dumps(out, ensure_ascii=False, sort_keys=True))\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
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      "content": "{\"output\": \"{\\\"akb_candidates\\\": 0, \\\"credit_card_candidates_total\\\": 1376, \\\"credit_card_migros_covered\\\": 273, \\\"galaxus_review\\\": 119, \\\"income_candidates\\\": 0, \\\"migros_line_items\\\": 8328, \\\"migros_over_threshold\\\": 223, \\\"migros_receipts_total\\\": 279, \\\"migros_under_threshold\\\": 56, \\\"possible_duplicates\\\": 0, \\\"productive_confirmed_phase15\\\": 0, \\\"raiffeisen_candidates\\\": 0, \\\"review_remaining\\\": 2344, \\\"subscriptions_auto\\\": 74, \\\"superseded_migros_articles\\\": 8328, \\\"transfer_candidates\\\": 0}\", \"exit_code\": 0, \"error\": null}",
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      "name": "todo",
      "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Ist-Zustand Schema/Importcode/Runtime-Kandidaten prüfen, ohne Rohbeträge auszugeben\", \"status\": \"completed\"}, {\"id\": \"backup\", \"content\": \"Runtime-DB Backup erstellen und verifizieren\", \"status\": \"completed\"}, {\"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\": \"completed\"}, {\"id\": \"runtime\", \"content\": \"Runtime Cleanup Migros-Artikelkandidaten + Neuimport auf Bon-Ebene dry-run/review durchführen\", \"status\": \"completed\"}, {\"id\": \"verify\", \"content\": \"Compile, pytest, npm test/build, secret scans, Git-Safety, diff-check ausführen\", \"status\": \"completed\"}, {\"id\": \"commit\", \"content\": \"Commit, Push, Remote-Hash verifizieren, Abschlussbericht mit Counts ohne Beträge liefern\", \"status\": \"completed\"}], \"summary\": {\"total\": 7, \"pending\": 0, \"in_progress\": 0, \"completed\": 7, \"cancelled\": 0}}",
      "tool_call_id": "call_IDvHGcH571GeKyoibO5dYYp5"
    },
    {
      "role": "assistant",
      "content": "Sir, **Budget Phase 1.5 – Source-aware Import Rules & Smart Review** ist umgesetzt, verifiziert, committed und gepusht.\n\n## Ergebnis\n\n- **Migros-Artikelkandidaten bereinigt:** ja\n- **Migros-Bons aggregiert:** ja\n- **Kreditkartenregeln umgesetzt:** ja\n- **AKB/Raiffeisen Importprofile umgesetzt:** ja, Logik vorhanden; Runtime-Dateien dafür wurden nicht gefunden\n- **Interne Transfers erkannt:** ja, Logik/Tests vorhanden; keine Bankdateien importiert\n- **Einnahmen erkannt:** ja, Logik/Tests vorhanden; keine Bankdateien importiert\n- **Review-Ansicht verbessert:** ja\n- **Umkategorisierung möglich:** ja, auditierbar\n- **Split vorbereitet:** ja, Backend/API auditierbar; UI zeigt bewusst noch Info statt komplexem Formular\n- **MVP-light Rule Engine umgesetzt:** ja\n- **Produktiver Import durchgeführt:** nein — nur Kandidaten/Review, keine produktiven Buchungen bestätigt\n\n## Runtime-Cleanup / Import Counts\n\n- **Vorher offene Kandidaten:** 9813\n- **Migros-like offen vorher:** 8591\n- **Migros-Artikelkandidaten Dry Run:** 8328\n- **Migros-Artikelkandidaten superseded:** 8328\n- **Audit-/Cleanup-Event:** geschrieben\n- **Migros-Bons total:** 279\n- **Migros-Bons unter Schwelle auto-zugeordnet:** 56\n- **Migros-Bons ab Schwelle Review:** 223\n- **Migros-Artikelzeilen intern gespeichert:** 8328\n- **Kreditkarten-Kandidaten total:** 1376\n- **Kreditkarten-Migros covered_by_migros:** 273\n- **Abos automatisch zugeordnet:** 74\n- **Galaxus Review-Kandidaten:** 119\n- **AKB-Kandidaten total:** 0\n- **Raiffeisen-Kandidaten total:** 0\n- **Einnahmen-Kandidaten:** 0\n- **Interne Transfer-Kandidaten:** 0\n- **Mögliche Duplikate:** 0\n- **Produktiv bestätigt:** nein, 0\n- **Reviewpflichtig verbleibend:** 2344\n\nKeine echten Beträge im Bericht. Keine echten CSV/XLS-Dateien ins Git. Runtime-DB blieb außerhalb Git. Sehr zivilisiert, zur Abwechslung.\n\n## Implementiert\n\n- Schema **v21**\n- `budget_import_line_items`\n- `budget_candidate_splits`\n- `budget_import_rules`\n- Erweiterte `budget_transaction_candidates`:\n  - `classification`\n  - `review_reason`\n  - `rule_id`\n  - `source_priority`\n  - `covered_by_source`\n  - `receipt_key`\n  - `account_source`\n  - `raw_fingerprint`\n\n## Review-Tabs / Filter\n\n- Alle\n- Auto-zugeordnet\n- Review nötig\n- Mögliche Duplikate\n- Interne Transfers\n- Galaxus\n- Migros über Schwelle\n- Banküberweisungen\n- Einnahmen\n- Ignoriert / covered_by_source\n\n## Verifikation\n\n- **Python compile:** bestanden\n- **pytest:** 371 passed\n- **npm test:** 24 passed\n- **npm run build:** bestanden\n- **source secret scan:** sauber\n- **frontend build secret scan:** sauber\n- **Git-Safety:** sauber\n- **git diff --check:** sauber\n- **Git status nach Push:** clean\n\n## Commit / Push\n\n- **Branch:** `feat/budget-phase-1-4`\n- **Commit:** `07485912e021ca1bdc5af5f38e5e29984d7e609f`\n- **Push:** erfolgreich\n- **Remote-Hash verifiziert:** ja, lokal = remote\n\n## Offene Entscheidungen\n\n1. **Bankdateien AKB/Raiffeisen fehlen aktuell in Runtime.**  \n   Die Importlogik ist vorbereitet und getestet, aber es gab keine AKB-/Raiffeisen-CSV-Dateien zum produktiven Kandidatenimport.\n\n2. **Batch Confirm braucht bewusst Zielkonto-Auswahl.**  \n   Backend ist bereit, UI blockiert absichtlich vor blindem Confirm. Keine stillen Mutationen — ich weiß, beinahe unmodern.\n\n3. **Split-UI Detailformular später.**  \n   Backend/API für Split ist auditierbar implementiert; UI zeigt derzeit eine vorbereitete Info statt vollständigem Formular.",
      "reasoning": null,
      "finish_reason": "stop",
      "codex_message_items": [
        {
          "type": "message",
          "role": "assistant",
          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Sir, **Budget Phase 1.5 – Source-aware Import Rules & Smart Review** ist umgesetzt, verifiziert, committed und gepusht.\n\n## Ergebnis\n\n- **Migros-Artikelkandidaten bereinigt:** ja\n- **Migros-Bons aggregiert:** ja\n- **Kreditkartenregeln umgesetzt:** ja\n- **AKB/Raiffeisen Importprofile umgesetzt:** ja, Logik vorhanden; Runtime-Dateien dafür wurden nicht gefunden\n- **Interne Transfers erkannt:** ja, Logik/Tests vorhanden; keine Bankdateien importiert\n- **Einnahmen erkannt:** ja, Logik/Tests vorhanden; keine Bankdateien importiert\n- **Review-Ansicht verbessert:** ja\n- **Umkategorisierung möglich:** ja, auditierbar\n- **Split vorbereitet:** ja, Backend/API auditierbar; UI zeigt bewusst noch Info statt komplexem Formular\n- **MVP-light Rule Engine umgesetzt:** ja\n- **Produktiver Import durchgeführt:** nein — nur Kandidaten/Review, keine produktiven Buchungen bestätigt\n\n## Runtime-Cleanup / Import Counts\n\n- **Vorher offene Kandidaten:** 9813\n- **Migros-like offen vorher:** 8591\n- **Migros-Artikelkandidaten Dry Run:** 8328\n- **Migros-Artikelkandidaten superseded:** 8328\n- **Audit-/Cleanup-Event:** geschrieben\n- **Migros-Bons total:** 279\n- **Migros-Bons unter Schwelle auto-zugeordnet:** 56\n- **Migros-Bons ab Schwelle Review:** 223\n- **Migros-Artikelzeilen intern gespeichert:** 8328\n- **Kreditkarten-Kandidaten total:** 1376\n- **Kreditkarten-Migros covered_by_migros:** 273\n- **Abos automatisch zugeordnet:** 74\n- **Galaxus Review-Kandidaten:** 119\n- **AKB-Kandidaten total:** 0\n- **Raiffeisen-Kandidaten total:** 0\n- **Einnahmen-Kandidaten:** 0\n- **Interne Transfer-Kandidaten:** 0\n- **Mögliche Duplikate:** 0\n- **Produktiv bestätigt:** nein, 0\n- **Reviewpflichtig verbleibend:** 2344\n\nKeine echten Beträge im Bericht. Keine echten CSV/XLS-Dateien ins Git. Runtime-DB blieb außerhalb Git. Sehr zivilisiert, zur Abwechslung.\n\n## Implementiert\n\n- Schema **v21**\n- `budget_import_line_items`\n- `budget_candidate_splits`\n- `budget_import_rules`\n- Erweiterte `budget_transaction_candidates`:\n  - `classification`\n  - `review_reason`\n  - `rule_id`\n  - `source_priority`\n  - `covered_by_source`\n  - `receipt_key`\n  - `account_source`\n  - `raw_fingerprint`\n\n## Review-Tabs / Filter\n\n- Alle\n- Auto-zugeordnet\n- Review nötig\n- Mögliche Duplikate\n- Interne Transfers\n- Galaxus\n- Migros über Schwelle\n- Banküberweisungen\n- Einnahmen\n- Ignoriert / covered_by_source\n\n## Verifikation\n\n- **Python compile:** bestanden\n- **pytest:** 371 passed\n- **npm test:** 24 passed\n- **npm run build:** bestanden\n- **source secret scan:** sauber\n- **frontend build secret scan:** sauber\n- **Git-Safety:** sauber\n- **git diff --check:** sauber\n- **Git status nach Push:** clean\n\n## Commit / Push\n\n- **Branch:** `feat/budget-phase-1-4`\n- **Commit:** `07485912e021ca1bdc5af5f38e5e29984d7e609f`\n- **Push:** erfolgreich\n- **Remote-Hash verifiziert:** ja, lokal = remote\n\n## Offene Entscheidungen\n\n1. **Bankdateien AKB/Raiffeisen fehlen aktuell in Runtime.**  \n   Die Importlogik ist vorbereitet und getestet, aber es gab keine AKB-/Raiffeisen-CSV-Dateien zum produktiven Kandidatenimport.\n\n2. **Batch Confirm braucht bewusst Zielkonto-Auswahl.**  \n   Backend ist bereit, UI blockiert absichtlich vor blindem Confirm. Keine stillen Mutationen — ich weiß, beinahe unmodern.\n\n3. **Split-UI Detailformular später.**  \n   Backend/API für Split ist auditierbar implementiert; UI zeigt derzeit eine vorbereitete Info statt vollständigem Formular."
            }
          ],
          "id": "msg_064af6ee3d6528eb016a09a188799c8191878ed6b9885eae4e",
          "phase": "final_answer"
        }
      ]
    }
  ]
}