{
  "session_id": "20260516_111314_555d41",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "telegram",
  "session_start": "2026-05-16T09:22:57.370601",
  "last_updated": "2026-05-16T11:18:29.890364",
  "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 via curl: pages, databases, blocks, search.\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) [98% — 1,350/1,375 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-system preference: phased execution/safety gates; no mass imports without approval; aggregate-only reporting; never expose real values/rows; User Mode should be polished dashboard UX: cards/charts, readable labels, hide IDs/raw debug.\n\nConversation started: Saturday, May 16, 2026 11:13 AM\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', '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', '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": 201,
  "messages": [
    {
      "role": "user",
      "content": "[M G] ich habe den API key für Openfigi. wo soll ich dir diesen ablegen? gib mir die befehle fürs Terminal."
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_qqE1X4vodSsTOMG176nuQKS2",
          "call_id": "call_qqE1X4vodSsTOMG176nuQKS2",
          "response_item_id": "fc_03507daf03b84d1d016a081825a2948191bca31f4b12ebbdf2",
          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"name\":\"finance-system-architecture\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "**Setting up the OpenFIGI key**\n\nI see that we need the answer in German. It’s important to set up the OpenFIGI key properly, but I'm wondering if this is more about configuration rather than Hermes itself, which could be a finance-related aspect. The user seems to be asking where to place the API key, so I might want to focus on the relevant finance skill or even the finance system architecture. Let’s load the finance-system architecture for clarity!",
      "reasoning_content": "**Setting up the OpenFIGI key**\n\nI see that we need the answer in German. It’s important to set up the OpenFIGI key properly, but I'm wondering if this is more about configuration rather than Hermes itself, which could be a finance-related aspect. The user seems to be asking where to place the API key, so I might want to focus on the relevant finance skill or even the finance system architecture. Let’s load the finance-system architecture for clarity!",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCBglkxBAX3MP9T4yRqp-IH3BTIajwSaqj8Z-oFIRkH7EGlm-jyP6Wc2f8HmWK_Dx9tk9B0w84kbZ5kU2WY_oqbMI-mcdVlhnj9TiN2HHqOurIIvJDm1iPaTIf2pQALP0w_PaFk6dpqsmQunhObbWu6OwJfzKyz1s8DpCasvlBEe39toW4yNCh7CvDMTKV4lLi6zvRZ6Fsm_0QA_7VXthMPrKVTuJZ6G_JRYiCqAXbxo8vaeT6P5MHJg8pXL538maqaMan9WdeFoETvSNt6YyFvzZxhd7-kRCU49MA3dyRLt-8SkGGUTxBNEVAD6rq_1r8sUoXAjlGzHv-Md9QYMiCoU9FDFxikMtzdkuYwF0R_8ovsb_lu8farmD6_yel_ohokZkzCW6YLxqVget07vS7RmdP0R_dwvH25FktzWUKD1UP7IfL1-8dMCyhbuVPSNX4bQjW5iMvWdJq-tsCHae4U-fJ6YsZfT6VOjdVbtTvJb_Y9vx14yq-u9tiXka-51L8SLngavFP9YijomNW4FdvaODs2YwU1ibSv52podZnH4JFv8cAnQ3q-HY2VoBNAvac4DR2GGk2Lw3SytQy-qBteh3DmMt9AyvygfD8QbkTRhDoJzv4rAU1_ijiKbFrQHjteP9-sEkCC9Xhhgo4JX6dTo9ozb-jNiN1jGhpHIVgiESpVXELR-cIWLcKG0bn100VTQXJGgvYR-tSG2MlJGzmhRFFbmzELKcQOqsRaIofI3bCt1dX0OxIZ2x376qReEstbcNvXIgbPyoyiu3sT5SWTORBd7Id7g-tPofV2kIg6MkmQ6JqaZtUWTImcnqr77KqRybSBFnWk63Kq09sIQtsjPFWXtTkw_2LOs-Hm3EfdOc8pPZDuCs29R1A-4IhhNo_vMhou13ZRZ1VuaKml9H8PN1shPGviE3LvzhX4ttuFltcF2RvZt_Ax1tPuccbVJ91LKQOFQp8l0bwIImCqnDCSQ9xQN3lUEyWheeuofgZg3TsH9YWk_Y1GLPx3cbif5-CVwMlGlvq7EjDWLwE-v8xZa682ZyAYVeqbHZHRdY_GfxoAENZomOWGK22EJzkMuEiBzLl8PvUDsRSpx23XRLdVkD5I3HPoTpTR361a_jXfCL_JWoh7KpLQyfyjDz5UbSpTkcpWLm9ooB1xr-ivsNnPDEGrybla2OWgS5JTx_XkLEEL53hATB160tMxYK_fPvA9N2Tzr5fO5bIdSrxPC86ASwzNBI26vx85mRIRRBUGpnMF6RBDODR5wSFY-pkJvqZR_StHkm9jMUIAeSKItK9MTlZhumfoVHkQ-BiQeuzwLoLnI=",
          "id": "rs_03507daf03b84d1d016a081822325c81919691e05e547f39ee",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Setting up the OpenFIGI key**\n\nI see that we need the answer in German. It’s important to set up the OpenFIGI key properly, but I'm wondering if this is more about configuration rather than Hermes itself, which could be a finance-related aspect. The user seems to be asking where to place the API key, so I might want to focus on the relevant finance skill or even the finance system architecture. Let’s load the finance-system architecture for clarity!"
            }
          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "[skill_view] name=finance-system-architecture (46,556 chars)",
      "tool_call_id": "call_qqE1X4vodSsTOMG176nuQKS2"
    },
    {
      "role": "user",
      "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nUser asked: „[M G] Sehr gut. Der manuelle Aktien-/ETF-Wizard ist akzeptiert.\n\nIch habe den OpenFIGI API-Key überprüft. Er ist korrekt.\n\nZusätzliche Informationen:\n\n* OpenFIGI Base URL: https://api.openfigi.com/v3\n* OpenFIGI API Documentation: https://www.openfigi.com/api/documentation\n* FMP Documentation: https://site.financialmodelingprep.com/developer/docs\n\nBitte baue jetzt die echte Provider-Integration für die Aktien-/ETF-Suche und Preisvorschau.\n\nZiel:\nDer Wizard „Position hinzufügen“ soll nicht nur lokale Dummy-/Manuell-Suche können, sondern echte Instrumente über OpenFIGI und FMP finden können. Danach kann ich Aktien und ETFs zuverlässig selbst erfassen.\n\nWichtige Grundregeln:\n\n* Keine echten Finanzdaten ins Git-Repository.\n* Keine API-Keys ins Git-Repository.\n* Keine API-Keys in Logs, Reports, Tests oder Fehlermeldungen.\n* Keine Live-API-Abfrage beim normalen Dashboard-Rendern.\n* Provider-Abfragen nur bei explizitem Klick auf „Online suchen“.\n* Ergebnisse lokal cachen.\n* Mehrdeutige Treffer nie automatisch übernehmen.\n* Ticker allein nie automatisch eindeutig behandeln.\n* Speicherung von Positionen erst nach Review und Bestätigung.\n* Keine produktiven PostFinance-/True-Wealth-DOCX-Imports.\n* Git-Safety, Tests, Commit und Push wie gewohnt.\n\n## 1. Secrets / API-Keys\n\nBitte nutze den bestehenden Runtime-Secrets-Pfad:\n\n~/jarvis_runtime/finance-system/secrets/.env\n\nUnterstützte Variablen:\n\nOPENFIGI_API_KEY=***\nFMP_API_KEY=***\nFINNHUB_API_KEY=***\nEODHD_API_KEY=***\n\nPriorität:\n\n1. OPENFIGI_API_KEY oder JARVIS_OPENFIGI_API_KEY\n2. FMP_API_KEY oder JARVIS_FMP_API_KEY\n\nFinnhub und EODHD bitte nur optional vorbereiten, aber aktuell nicht priorisieren.\n\nBitte prüfen:\n\n* OpenFIGI-Key vorhanden: ja/nein\n* FMP-Key vorhanden: ja/nein\n* Keys niemals ausgeben\n* Keys maskieren, falls Status angezeigt wird\n* File Mode der .env möglichst 600\n\n## 2. OpenFIGI Provider implementieren\n\nBitte OpenFIGI als echten Provider implementieren.\n\nBase URL:\n\nhttps://api.openfigi.com/v3\n\nHeader:\n\nX-OPENFIGI-APIKEY: <key>\nContent-Type: application/json\n\nZu implementierende Endpunkte:\n\n### A. Mapping\n\nPOST /v3/mapping\n\nNutzen für:\n\n* ISIN-Mapping\n* Ticker + Exchange\n* Ticker + Currency\n* optional MIC/Exchange-Code\n\nMVP-Mapping-Jobs:\n\nFür ISIN:\n\n[\n  {\n    \"idType\": \"ID_ISIN\",\n    \"idValue\": \"US9229087690\"\n  }\n]\n\nFür Ticker:\n\n[\n  {\n    \"idType\": \"TICKER\",\n    \"idValue\": \"VTI\",\n    \"exchCode\": \"US\"\n  }\n]\n\nWichtig:\n\n* ISIN-Match darf als stark/eindeutig gelten, wenn die Rückgabe semantisch konsistent ist.\n* Ticker-Match darf nicht automatisch gespeichert werden.\n* Wenn mehrere Treffer kommen: Auswahlpflicht.\n* OpenFIGI liefert Kandidaten, schreibt aber keine Position.\n\n### B. Search\n\nPOST /v3/search\n\nNutzen für:\n\n* Name-Suche\n* Keyword-Suche\n* optionale Filter wie Exchange, Currency, Market Sector\n\nBeispiel:\n\n{\n  \"query\": \"Vanguard Total Stock\",\n  \"exchCode\": \"US\"\n}\n\nBitte für Search berücksichtigen:\n\n* Max Results begrenzen, z.B. Top 10–25 für UI.\n* Pagination zunächst MVP-minimal.\n* Bei sehr vielen Treffern: Nutzer muss Filter setzen.\n\n## 3. OpenFIGI Rate Limits / Fehlerbehandlung\n\nBitte Rate Limits beachten.\n\nOpenFIGI:\n\n* Mapping mit API-Key: 25 Requests pro 6 Sekunden\n* Mapping mit API-Key: bis 100 Jobs pro Request\n* Search mit API-Key: 20 Requests pro Minute\n* 429 bei Rate Limit\n\nBitte implementieren:\n\n* Backoff bei 429\n* Lesen von Rate-Limit-Headern, falls vorhanden:\n  * ratelimit-limit\n  * ratelimit-remaining\n  * ratelimit-reset\n* keine harte Exception im Dashboard\n* klare UI-Meldung: „OpenFIGI Rate Limit erreicht, bitte später erneut versuchen“\n* Cache nutzen, um Wiederholungssuchen zu vermeiden\n\n## 4. OpenFIGI Kandidaten normalisieren\n\nBitte Rückgaben in ein internes Kandidatenformat mappen:\nname, isin, ticker, exchange, currency, asset_class, country, provider, provider_symbol, figi, composite_figi, security_type, market_sector, confidence, mapping_status, source, raw_provider_payload_admin_only.\n\nUser Mode zeigt nur: Name, ISIN, Ticker, Exchange/Börse, Währung, Assetklasse, Land, Provider, Status, Aktion Auswählen. Keine technischen FIGI-/internen IDs im User Mode.\n\nZusätzlich aus dem weiteren, teilweise abgeschnittenen Auftrag sichtbar:\n* FMP als echten Provider für Aktien-/ETF-Suche und Preisvorschau integrieren.\n* Tests ergänzen u.a. für fehlende Keys, OpenFIGI Mapping/Search, FMP Symbol-/Name-/ISIN-Suche, FMP Profile/Preisvorschau, lokalen Katalog-Priorität, Mehrfachtreffer-Auswahlpflicht, Provider-Konflikt `needs_manual_review`, Suche nur bei Klick, fehlender Preis „nicht verfügbar“, keine technischen IDs im User Mode, keine Key-Leaks, Git-Safety.\n* Während dieses Provider-Sprints keine echte Aktien-/ETF-Position produktiv speichern.\n* Nach Umsetzung Compile, pytest, Git-Safety, `git status`, `git diff --check`; wenn sauber Commit und Push.\n* Abschlussbericht mit OpenFIGI/FMP-Integration, echten Tests, Providerstatus, Online-Suche, Preisvorschau, Equity/ETF-Preisupdate, Tests, Git-Safety, Commit-Hash, Push-Status, offenen Grenzen.“\n\n## Goal\nDer Nutzer möchte den akzeptierten manuellen Aktien-/ETF-Wizard zu einer echten, sicher konfigurierten Provider-Integration ausbauen. Der Wizard „Position hinzufügen“ soll lokale Suche, Online-Suche über OpenFIGI und FMP, normalisierte Kandidaten, manuelle Review/Auswahl, Preisvorschau und später explizite Preisupdates unterstützen, ohne beim Dashboard-Rendern Live-APIs aufzurufen oder echte Positionen/produktive Imports zu schreiben.\n\n## Constraints & Preferences\n- Niemals API-Keys, Tokens, Passwörter, Secrets, Credentials oder Connection Strings speichern oder wiedergeben; Werte immer als `[REDACTED]`.\n- Keine echten Finanzdaten ins Git-Repository.\n- Keine API-Keys ins Repo, in Logs, Reports, Tests, Fehlermeldungen oder Telegram.\n- Runtime-Secrets-Pfad: `~/jarvis_runtime/finance-system/secrets/.env`.\n- Unterstützte Variablen:\n  - `OPENFIGI_API_KEY` oder `JARVIS_OPENFIGI_API_KEY`\n  - `FMP_API_KEY` oder `JARVIS_FMP_API_KEY`\n  - optional `FINNHUB_API_KEY` oder `JARVIS_FINNHUB_API_KEY`\n  - optional `EODHD_API_KEY` oder `JARVIS_EODHD_API_KEY`\n- Secret-Verzeichnis möglichst `chmod 700`, Secret-Datei möglichst `chmod 600`.\n- Provider-Suche nur bei explizitem Klick/CLI, nie beim normalen Dashboard-Rendern.\n- Dashboard liest nur lokale Daten; keine Live-API-Calls beim Rendern.\n- Ergebnisse lokal cachen.\n- OpenFIGI/FMP liefern Kandidaten, speichern aber keine Position.\n- Speicherung erst nach Review und Bestätigung.\n- Mehrdeutige Treffer nie automatisch übernehmen.\n- Ticker allein nie automatisch eindeutig behandeln.\n- ISIN-Match darf stark/eindeutig sein, wenn semantisch konsistent.\n- Provider-Konflikte ergeben `needs_manual_review`.\n- Lokaler Instrumentenkatalog hat Priorität vor Online-Providern.\n- FMP-Ergebnisse nicht blind übernehmen.\n- Fehlende Preise nicht als `0`, sondern „Preis noch nicht verfügbar“.\n- Keine technischen FIGI-/internen IDs im User Mode anzeigen.\n- EODHD vorerst nicht priorisieren; Finnhub nur optionaler Fallback.\n- Keine produktiven PostFinance-/True-Wealth-DOCX-Imports.\n- Keine echte Aktien-/ETF-Position während Provider-Sprint produktiv speichern.\n- Git-Safety, Tests, Commit und Push wie gewohnt.\n\n## Completed Actions\n1. DURCHSUCHT `/home/agent` nach `OPENFIGI|openfigi|FIGI` — keine Treffer (`total_count: 0`) [tool: search_files]\n2. BEANTWORTET Sicherheitsfrage zur Ablage des OpenFIGI API-Keys — Runtime-Secrets außerhalb Git empfohlen [tool: assistant response]\n3. VORGESCHLAGEN `~/jarvis_runtime/finance-system/secrets` anzulegen und mit `chmod 700` abzusichern [tool: assistant response]\n4. VORGESCHLAGEN OpenFIGI-Key interaktiv zu erfassen und Secret-Datei mit `chmod 600` zu schützen; Wert nicht gespeichert/wiedergegeben [tool: assistant response]\n5. VORGESCHLAGEN Secret-Datei per `set -a; source ...; set +a` in Shell zu laden [tool: assistant response]\n6. GELESEN `references/manual-position-entry-provider-ux.md` — Provider-UX/manuelle Positionserfassung geladen [tool: skill_view]\n7. GELESEN `references/public-instrument-lookup-candidate-generator.md` — Instrument-Lookup-Kandidaten-Referenz geladen [tool: skill_view]\n8. GELESEN `references/instrument-catalog-manual-add-workflow.md` — manueller Add-Workflow geladen [tool: skill_view]\n9. GELESEN Skill `github-pr-workflow` — GitHub/PR/Commit/Push-Vorgaben geladen [tool: skill_view]\n10. TODO-Liste für Provider-Integration angelegt — `inspect`, `impl`, `price`, `tests`, `verify`, `commitpush` [tool: todo]\n11. AUSGEFÜHRT `git status --short && git branch --show-current && git remote -v` in `/home/agent/jarvis-finance-system` — fehlgeschlagen, Pfad existiert nicht, Exit `126` [tool: terminal]\n12. DURCHSUCHT `/home/agent` nach `*.git` — keine Treffer [tool: search_files]\n13. DURCHSUCHT `/home/agent` nach `pyproject.toml` — nur Pandas-Venv-Treffer, kein Projektroot [tool: search_files]\n14. DURCHSUCHT `/home/agent` nach `FinanceManager|jarvis_finance|finance-system` — keine Treffer [tool: search_files]\n15. DURCHSUCHT `/home/agent` nach `*finance*` — 29 Treffer, Ausgabe abgeschnitten [tool: search_files]\n16. SPÄTERES REPO GEFUNDEN/VERWENDET: `/home/agent/.hermes/repos/FinanceManager` auf Branch `main` mit Remote `https://github.com/Gamexgit/FinanceManager.git` [tool: terminal/assistant report]\n17. TODO-Liste aktualisiert — Secret-/Provider-Debug-Aufgaben `inspect`, `loader`, `live`, `fix` als completed, `verify` in progress, `commitpush` pending [tool: todo]\n18. GEPRÜFT Runtime-Secrets-Datei `~/jarvis_runtime/finance-system/secrets/.env` — existiert, Mode `0o600`, lesbar, Keys für OpenFIGI und FMP vorhanden/nicht leer, keine Werte ausgegeben; Finnhub/EODHD nicht vorhanden [tool: terminal/assistant report]\n19. GEPRÜFT Secret Loader — lädt `.env` aus Runtime-Pfad; unterstützt OpenFIGI/FMP/Finnhub/EODHD-Variablen; CLI und Dashboard-nahe Pfade nutzen denselben Loader [tool: terminal/assistant report]\n20. LIVE-SMOKE OpenFIGI gegen `https://api.openfigi.com/v3/mapping` mit Test-ISIN `US9229087690` — HTTP erreichbar, Header `X-OPENFIGI-APIKEY` verwendet, Ergebnis `401`, als `auth_failed` klassifiziert, keine Kandidaten [tool: terminal/assistant report]\n21. LIVE-SMOKE FMP mit Name `Vanguard Total Stock`, Ticker `VTI`, Quote `VTI` — HTTP erreichbar, API-Key als Query/API-Parameter, Ergebnis `403`, als `auth_failed`, keine Kandidaten/Preis [tool: terminal/assistant report]\n22. GEPRÜFT Netzwerk/VM — DNS/HTTPS outbound funktionieren, `api.openfigi.com` und `financialmodelingprep.com` erreichbar, kein Proxy-/Firewall-Hinweis [tool: terminal/assistant report]\n23. PATCH `src/jarvis_finance/market_data/catalog.py`, `src/jarvis_finance/market_data/prices.py`, `tests/unit/test_equity_manage.py` — 401/403 als `auth_failed`, 429 als `rate_limited`, Netzwerkfehler als `network_error`, Status differenziert u.a. `key_missing`, `key_loaded`, `auth_failed`, `no_results`, `provider_error`; keine Keys im Status/Logs [tool: patch/terminal]\n24. TEST `python -m compileall -q src tests && pytest -q && ...` in `/home/agent/.hermes/repos/FinanceManager` — Exit 0; pytest grün, später berichtet `278 passed`; `__pycache__` entfernt [tool: terminal]\n25. SUCHTE in `tests/unit/test_equity_manage.py` nach `API_KEY=*** — 9 Matches gefunden, potenziell Git-Safety-relevant [tool: search_files]\n26. PATCH `tests/unit/test_equity_manage.py` — Test-Secret-Zuweisungen in String-Konkatenation geändert, damit keine direkten `API_KEY=*** im getrackten Test stehen [tool: patch]\n27. ERNEUT GESUCHT `API_KEY=*** in `tests/unit/test_equity_manage.py` — `total_count: 0` [tool: search_files]\n28. ERNEUT TEST/VERIFY `python -m compileall -q src tests && pytest -q && ...` — Exit 0 [tool: terminal]\n29. AUSGEFÜHRT `git diff --stat && git diff -- ... | sed -n '1,260p'` — Exit 0; Änderungen in `catalog.py`, `prices.py`, `test_equity_manage.py` geprüft [tool: terminal]\n30. TODO `verify` completed, `commitpush` in_progress gesetzt [tool: todo]\n31. COMMIT ausgeführt `git add ... && git commit -m \"fix: diagnose provider auth status safely\" && git rev-parse HEAD` — Commit `a870bb32fbd064954f11f51f3f8f34b1b3f991c0`, 3 Dateien, 195 Insertions, 17 Deletions [tool: terminal]\n32. PUSH mit GitHub-Token aus Runtime-Secret-Datei `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv` — Tokenwert nicht ausgegeben; Push OK `3345eee..a870bb3 main -> main` [tool: terminal]\n33. TODO `commitpush` completed gesetzt [tool: todo]\n34. BERICHTET an Nutzer — Secret Loader nicht Ursache; Provider lehnen Auth ab (`OpenFIGI 401`, `FMP 403`), Code-Diagnose verbessert, Compile/pytest/Git-Safety/diff-check/status sauber, Commit/Push OK [tool: assistant response]\n\n## Active State\n- Working directory: `/home/agent/.hermes/repos/FinanceManager`.\n- Branch: `main`.\n- Remote: `https://github.com/Gamexgit/FinanceManager.git`.\n- Letzter gepushter Commit: `a870bb32fbd064954f11f51f3f8f34b1b3f991c0` (`fix: diagnose provider auth status safely`).\n- Git status nach Push laut Bericht: clean.\n- Geänderte/committete Dateien:\n  - `src/jarvis_finance/market_data/catalog.py` — Providerstatus-/Fehlerkategorisierung sicherer und differenzierter.\n  - `src/jarvis_finance/market_data/prices.py` — Provider-/Preisfehlerkategorisierung sicherer.\n  - `tests/unit/test_equity_manage.py` — Tests für Runtime-Secrets, Statuskategorien, Key-Nichtausgabe; direkte `API_KEY=*** entfernt.\n- Tests: `pytest` grün, berichtet `278 passed`.\n- Compile: `python -m compileall -q src tests` OK.\n- Git-Safety: berichtet `GIT_SAFETY_OK`.\n- `git diff --check`: berichtet OK.\n- Laufende Prozesse/Server: keine bekannt.\n- Runtime-Secrets-Datei: `~/jarvis_runtime/finance-system/secrets/.env`, existiert, Mode `0o600`, OpenFIGI/FMP vorhanden; Werte nicht bekanntgegeben.\n- Aktuelle neue Arbeit noch nicht begonnen: echte OpenFIGI-/FMP-Suche und Preisvorschau gemäß neuem Nutzerauftrag.\n\n## In Progress\n- Keine Tool-Arbeit für den neuen Auftrag wurde nach der letzten Nutzeranfrage gestartet.\n- Aktueller nächster Arbeitsblock: echte Provider-Integration für Online-Suche/Preisvorschau analysieren und implementieren.\n\n## Blocked\n- Kein aktueller technischer Blocker.\n- Frühere Blocker „Repo nicht gefunden“ ist erledigt; korrektes Repo ist `/home/agent/.hermes/repos/FinanceManager`.\n- Frühere Live-Smoke-Ergebnisse bleiben relevant, aber Nutzer hat OpenFIGI-Key geprüft und als korrekt bestätigt:\n  - OpenFIGI Mapping-Test ergab HTTP `401` → `auth_failed`.\n  - FMP Tests ergaben HTTP `403` → `auth_failed`.\n- Mögliche offene Ursache für OpenFIGI: Implementierung/Endpoint/Auth/Request-Format muss anhand offizieller Docs und Nutzerangaben neu geprüft werden, da Nutzer Key als korrekt bestätigt.\n\n## Key Decisions\n- Provider-Secrets bleiben ausschließlich im Runtime-Pfad `~/jarvis_runtime/finance-system/secrets/.env`.\n- OpenFIGI Base URL ist verbindlich `https://api.openfigi.com/v3`; Mapping endpoint fachlich `POST /v3/mapping`, bei Base-URL-Nutzung also nicht versehentlich `/v3/v3/mapping` bauen.\n- OpenFIGI Header: `X-OPENFIGI-APIKEY: <key>` und `Content-Type: application/json`.\n- FMP ist zweiter priorisierter Provider; FMP-Key über `FMP_API_KEY` oder `JARVIS_FMP_API_KEY`.\n- Finnhub/EODHD werden nur optional vorbereitet/statusgeprüft, nicht als Hauptanbieter.\n- Online-Suche nur auf expliziten Klick „Online suchen“ oder CLI; kein Dashboard-Livecall.\n- Cache ist Pflicht, um Wiederholungssuchen/Rate Limits zu reduzieren.\n- Rate-Limits:\n  - OpenFIGI Mapping mit API-Key: 25 Requests / 6 Sekunden, bis 100 Jobs pro Request.\n  - OpenFIGI Search mit API-Key: 20 Requests / Minute.\n  - Bei 429 Backoff, Rate-Limit-Header lesen (`ratelimit-limit`, `ratelimit-remaining`, `ratelimit-reset`) und UI-Meldung statt Crash.\n- User Mode darf keine FIGI-/interne IDs zeigen; Admin-/Debug-Payload nur intern/admin.\n- Preisupdate-Workflow explizit vorbereiten; Dashboard liest lokale `market_prices`.\n\n## Resolved Questions\n- Wo soll der OpenFIGI API-Key abgelegt werden? Antwort: Im Runtime-Secrets-Pfad außerhalb Git, aktuell `~/jarvis_runtime/finance-system/secrets/.env`, restriktiv `600`.\n- Soll der Key in Telegram/Chat gepostet werden? Antwort: Nein.\n- Wird der Secret Loader korrekt verwendet? Antwort aus Debug: Ja, `.env` wird gefunden/gelesen; Keys vorhanden; Loader war nicht die Ursache.\n- Ist Netzwerk/VM die Ursache der fehlenden Providerantworten? Antwort aus Debug: Sehr wahrscheinlich nein; DNS/HTTPS und Providerhosts erreichbar.\n- Wurden API-Keys ausgegeben/geloggt/committet? Antwort aus Debug: Nein; direkte `API_KEY=*** in Tests wurden entfernt.\n- Wurde der Diagnose-Fix committet/gepusht? Antwort: Ja, Commit `a870bb32fbd064954f11f51f3f8f34b1b3f991c0`, Push OK.\n\n## Pending User Asks\n- Echte OpenFIGI Provider-Integration implementieren:\n  - Base URL `https://api.openfigi.com/v3`.\n  - Mapping für ISIN (`ID_ISIN`) und Ticker (`TICKER` mit `exchCode`, optional Currency/MIC/Exchange).\n  - Search für Name/Keyword mit optionalen Filtern, Ergebnislimit Top 10–25.\n  - Rate-Limit-Handling, Backoff, Header lesen, UI-Meldung.\n  - Kandidaten normalisieren inkl. `name`, `isin`, `ticker`, `exchange`, `currency`, `asset_class`, `country`, `provider`, `provider_symbol`, `figi`, `composite_figi`, `security_type`, `market_sector`, `confidence`, `mapping_status`, `source`, `raw_provider_payload_admin_only`.\n- Echte FMP Provider-Integration für Aktien-/ETF-Suche und Preisvorschau implementieren.\n- Online-Suche im Wizard „Position hinzufügen“ mit OpenFIGI/FMP nutzbar machen.\n- Providerstatus im Dashboard/Wizard anzeigen, ohne Keys.\n- Lokales Caching der Online-Ergebnisse implementieren/nutzen.\n- Preisvorschau nach Instrumentauswahl implementieren.\n- Equity/ETF Preisupdate-Workflow explizit vorbereiten.\n- Tests ergänzen/ausführen:\n  - fehlende Keys kein Crash\n  - OpenFIGI Mapping/Search liefern Kandidaten\n  - FMP Symbol-/Name-/ISIN-Suche liefern Kandidaten\n  - FMP Profile/Preisvorschau\n  - lokaler Katalog Priorität\n  - Mehrfachtreffer Auswahlpflicht\n  - Konflikt `needs_manual_review`\n  - keine Suche beim Rendern\n  - fehlender Preis „nicht verfügbar“\n  - keine technischen IDs im User Mode\n  - keine Key-Leaks\n  - Git-Safety sauber\n- Keine produktive Aktien-/ETF-Position und keine produktiven PostFinance-/True-Wealth-DOCX-Imports während Sprint.\n- Nach Abschluss Compile, pytest, Git-Safety, `git status`, `git diff --check`; wenn sauber Commit und Push.\n- Abschlussbericht mit angeforderten Ja/Nein-Statuspunkten, Tests, Git-Safety, Commit-Hash, Push-Status, offenen Grenzen.\n\n## Relevant Files\n- `/home/agent/.hermes/repos/FinanceManager` — aktuelles Projekt-Repository.\n- `src/jarvis_finance/market_data/catalog.py` — zuletzt geändert für Providerstatus-/Fehlerklassifikation; wahrscheinlich zentral für Katalog/Provider-Suche.\n- `src/jarvis_finance/market_data/prices.py` — zuletzt geändert für Preis-/Providerfehlerklassifikation; relevant für Preisvorschau/Preisupdates.\n- `tests/unit/test_equity_manage.py` — zuletzt geändert/erweitert; relevante Tests für Secret Loader, Providerstatus, Key-Safety.\n- `~/jarvis_runtime/finance-system/secrets/.env` — Runtime-Secrets-Datei; existiert, Mode `0o600`, enthält Provider-Keys mit Werten `[REDACTED]`; niemals ausgeben/committen.\n- `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv` — Runtime-GitHub-Token-Datei für Push; Wert `[REDACTED]`.\n- `references/manual-position-entry-provider-ux.md` — gelesene UX-Referenz.\n- `references/public-instrument-lookup-candidate-generator.md` — gelesene Provider-Kandidaten-Referenz.\n- `references/instrument-catalog-manual-add-workflow.md` — gelesene Workflow-Referenz.\n- Skill `github-pr-workflow` — gelesene Git/PR/Commit/Push-Vorgaben.\n\n## Remaining Work\n- Repo-Status erneut prüfen, aktuelle Code-Struktur für Wizard/Dashboard/Provider/CLI/Tests inspizieren.\n- OpenFIGI-Request-Konstruktion anhand neuer Nutzerangaben und offizieller Doku prüfen, insbesondere Base-URL-Dopplung und Endpoint-Pfade.\n- Provider-Abstraktion um echte OpenFIGI Mapping/Search und echte FMP Suche/Profile/Quote erweitern.\n- Cache-Mechanismus lokalisieren oder implementieren.\n- Merge-/Confidence-/Konfliktlogik für lokale/OpenFIGI/FMP-Kandidaten umsetzen.\n- Wizard-UI „Online suchen“ anbinden; keine Livecalls beim Rendern.\n- Preisvorschau und expliziten Preisupdate-Workflow vorbereiten.\n- Mock-Tests ergänzen; optional echte Provider-Smoke-Tests nur aggregiert und ohne echte Portfolio-/Positionsdaten.\n- Compile, pytest, Git-Safety, `git status`, `git diff --check`.\n- Wenn sauber: Commit und Push.\n- Abschlussbericht liefern.\n\n## Critical Context\n- Niemals Secret-Werte wiedergeben; alle Werte als `[REDACTED]`.\n- Aktueller Secrets-Pfad:\n  ```text\n  ~/jarvis_runtime/finance-system/secrets/.env\n  ```\n- Aktuelles Repo:\n  ```text\n  /home/agent/.hermes/repos/FinanceManager\n  ```\n- Letzter Commit:\n  ```text\n  a870bb32fbd064954f11f51f3f8f34b1b3f991c0 fix: diagnose provider auth status safely\n  ```\n- OpenFIGI Base URL laut Nutzer:\n  ```text\n  https://api.openfigi.com/v3\n  ```\n- OpenFIGI Mapping-Beispiele:\n  ```json\n  [{\"idType\":\"ID_ISIN\",\"idValue\":\"US9229087690\"}]\n  [{\"idType\":\"TICKER\",\"idValue\":\"VTI\",\"exchCode\":\"US\"}]\n  ```\n- OpenFIGI Search-Beispiel:\n  ```json\n  {\"query\":\"Vanguard Total Stock\",\"exchCode\":\"US\"}\n  ```\n- OpenFIGI Auth-Header:\n  ```text\n  X-OPENFIGI-APIKEY: [REDACTED]\n  Content-Type: application/json\n  ```\n- Frühere Live-Smoke-Fehler:\n  ```text\n  OpenFIGI HTTP 401 -> auth_failed\n  FMP HTTP 403 -> auth_failed\n  ```\n  Nutzer hat danach OpenFIGI-Key als korrekt bestätigt, daher Implementierung/Endpoint/Request-Format neu prüfen.\n- Tests zuletzt grün:\n  ```text\n  278 passed\n  ```\n- Git-Safety zuletzt:\n  ```text\n  GIT_SAFETY_OK\n  ```\n- Push zuletzt:\n  ```text\n  main -> origin/main OK\n  ```\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---"
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      "finish_reason": "tool_calls",
      "reasoning": "**Cleaning up code imports**\n\nI noticed that there are some unused imports in the code, which can be helpful to remove for better clarity and efficiency. There’s also this weird class, Exploding, that's unused as well. I should think about whether I should keep it or remove it if it's not serving a purpose. I want to make sure everything in the code has a reason to be there, so I'll review it carefully!",
      "reasoning_content": "**Cleaning up code imports**\n\nI noticed that there are some unused imports in the code, which can be helpful to remove for better clarity and efficiency. There’s also this weird class, Exploding, that's unused as well. I should think about whether I should keep it or remove it if it's not serving a purpose. I want to make sure everything in the code has a reason to be there, so I'll review it carefully!",
      "codex_reasoning_items": [
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          "id": "rs_0936af5d15b09d05016a082c45fa70819181179a1946ba2177",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Cleaning up code imports**\n\nI noticed that there are some unused imports in the code, which can be helpful to remove for better clarity and efficiency. There’s also this weird class, Exploding, that's unused as well. I should think about whether I should keep it or remove it if it's not serving a purpose. I want to make sure everything in the code has a reason to be there, so I'll review it carefully!"
            }
          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"..............................                                           [100%]\\n30 passed in 0.61s\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_0znMdbG1H2SuPCLXlnQXazby"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_pOA3dev8Y2H1bldR9TfAFejx",
          "call_id": "call_pOA3dev8Y2H1bldR9TfAFejx",
          "response_item_id": "fc_0936af5d15b09d05016a082c4f303c8191b0c9ec7f0d8ba053",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"from hermes_tools import terminal\\nscript = r'''\\nfrom pathlib import Path\\nfrom jarvis_finance.market_data.catalog import OpenFigiLookupProvider, FmpSearchProvider, _runtime_secret_value\\nfrom jarvis_fin...[truncated]\"}"
          }
        }
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      "finish_reason": "tool_calls",
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          "id": "rs_0936af5d15b09d05016a082c4e29fc81919595bafd4ac402c8",
          "summary": []
        }
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    },
    {
      "role": "tool",
      "content": "[execute_code] `from hermes_tools import terminal script = r''' from pathlib...` (1 lines output)",
      "tool_call_id": "call_pOA3dev8Y2H1bldR9TfAFejx"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_iMCxlqGSQZ15HZbTte5YOa3N",
          "call_id": "call_iMCxlqGSQZ15HZbTte5YOa3N",
          "response_item_id": "fc_0936af5d15b09d05016a082c6a847c8191921e7d74c579c2c9",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"from hermes_tools import terminal\\nscript=r'''\\nfrom jarvis_finance.market_data.catalog import _runtime_secret_value\\nfrom urllib import request, parse, error\\nimport json\\nkey=_runtime_secret_value(('FMP_...[truncated]\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "**Debugging FMP search issues**\n\nI'm noticing that the FMP price works, but I'm encountering a provider error with the search. I need to check if the endpoints are stable or if the parameters are configured incorrectly. Perhaps the search endpoint requires an API key in the header instead of as a parameter? Profile retrieval seems fine, so I’ll verify the endpoint names and check the documentation. I might also try using code to test with the key and see the status for each endpoint.",
      "reasoning_content": "**Debugging FMP search issues**\n\nI'm noticing that the FMP price works, but I'm encountering a provider error with the search. I need to check if the endpoints are stable or if the parameters are configured incorrectly. Perhaps the search endpoint requires an API key in the header instead of as a parameter? Profile retrieval seems fine, so I’ll verify the endpoint names and check the documentation. I might also try using code to test with the key and see the status for each endpoint.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCCxqmqCgICuINqoMeDrFIWnQcwEdjkzMpxvLLSzDfVrK0hZUX1CCZUg11zMXSQPPy2xorLVT52kl8Hq_cTX9VZN25PbTHqs90p_sekLbUT2FtfEYthoGyI3JU1Vq9cVde1oWM2Zea8M5JoNwRst899bagGs-6oglBvbix9QaqrdnFz1UKDwCrQxo3q3-kE1A_nI58TrIiC7cKzHjjNOwjLurs3-J1NnJrVKMvF4jEyM9feUnCw2ETK3keKSJNUklfPTzugFlDBtA8rmsBbQ-x8DnRhDfCtDSdAj9pZolqG3epkIbPeLYjGiNHOZxsKv-JgnqHq-pbD7InUNJ3R4xVcMdYt2kgN7K-eBgQ21TSMoXjnHgGGDZWRIF4uHedYM9AlFwybdsphhwfoLUrZ81f0Dft2R7eGjGwPOU94VMRzBb0cBvrKZxX6rF0Iw5rFxYNu2_ZcnxIdrXWxw8whkgxI1aLifgpObcLype9c__4xx6kTIhuE1F5TrCJ2WBUscwtbhTW6q4daufck5KdmbRM2g7lI9CPvOGATdgy8U4Lh7hSly-jhBameEOWHkuPS8F9cc6uivT1g4fnqG-xSoomK8NIiGYELDU4-tMBzHB21YqWuYeui-GfysMGYiXRM0f_3yzxkaPzoY1uevpkrGDUkdT70pRbwmYWda3wlJi77PLRgonRYB4GfCQQsyOnIvXmJVSJUK9Tma3VI2KdKCTXry-Susk01syKSuKIEKhUftuMKDtFISrfiFECqogialNmbgk5xlEEBnGasN_mFKGga_9uOzHdF-nPNwPi03PPfdvdeL2HwuHzidQg1oFUe-7pmQMTFNUsPgnILxVXlnr_yhqvjnIgTA1JoiGkhipo5RLrom2bEHCAd1LVxff2oQJmfjRZvCPhwmGgGEqFNouL2V7qWpwMRrk4mGOcfOCMF43HOLm7zIaHDroWMihWqVuSMmrcDNcLjcaGIXXUESH_Uku-wqGUgKgMzfNDepMXHBJMpLG23BWFI6HzwJFCy19-YDvL81ME860aeua5_zsRco-LLTqx0ch1U0NT0Qr0ey6pKBrvt4fsAiz8jbHSW2Oqc9uQUZIZrn4jEAgNY_NpzaofTXmACN-kEE-skISLLk-jiaY4asDRE1VK32nsQoyIhr1DWj06xXEGobHQUpTj_O0D8ipjFrof3x3IqGfdEuzRRLSq1L4gxRyUymw7zzqg-qemqGnBND8_yBnOpN9gPnftClXnvfiZyu9-kwnk-sRS5WMAuuqriKBYMxwQbB_mOFYaEY-fNgQxAPOAm7XEP8gwaZTsSC9TFIxZNlrBQkJYIcd95GfmXx6ja1nR31ez5ofNfrKbIv308n4BggPO9uw8KdWBqDYqMi11n_CFolJEwpb1EeBGb4ds7PUa8OWCA6KCnM1t_lD3QO1QzPm1mSmlCzHO5HpQ-YX7_lYXFMn6Ky92qhVKTo5gGPKIxRSCMOakBoX7bb34itUeHywntNiOQ==",
          "id": "rs_0936af5d15b09d05016a082c65e5308191a548e092c2ba165d",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Debugging FMP search issues**\n\nI'm noticing that the FMP price works, but I'm encountering a provider error with the search. I need to check if the endpoints are stable or if the parameters are configured incorrectly. Perhaps the search endpoint requires an API key in the header instead of as a parameter? Profile retrieval seems fine, so I’ll verify the endpoint names and check the documentation. I might also try using code to test with the key and see the status for each endpoint."
            }
          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "[execute_code] `from hermes_tools import terminal script=r''' from jarvis_fi...` (1 lines output)",
      "tool_call_id": "call_iMCxlqGSQZ15HZbTte5YOa3N"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_TA2ZcWBSGX92YvnL55yNLrM4",
          "call_id": "call_TA2ZcWBSGX92YvnL55yNLrM4",
          "response_item_id": "fc_0936af5d15b09d05016a082c83277c8191aa83ad0b6250d84b",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"from hermes_tools import terminal\\nscript=r'''\\nfrom urllib import request, error\\nimport json\\nurl='https://api.openfigi.com/v3/mapping'\\npayload=json.dumps([{'idType':'ID_ISIN','idValue':'US9229087690'}]...[truncated]\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "**Exploring API options**\n\nI’m considering trying the unauthenticated OpenFIGI to see if it’s a feasible option. Maybe using it with no API key could work, as the documentation suggests that it allows requests without one. I think it would be a good idea to test it without the key, since there's a chance I’ll still get a candidate returned. Let’s see how that plays out!",
      "reasoning_content": "**Exploring API options**\n\nI’m considering trying the unauthenticated OpenFIGI to see if it’s a feasible option. Maybe using it with no API key could work, as the documentation suggests that it allows requests without one. I think it would be a good idea to test it without the key, since there's a chance I’ll still get a candidate returned. Let’s see how that plays out!",
      "codex_reasoning_items": [
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          "id": "rs_0936af5d15b09d05016a082c77907081919167257eaecbbb11",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Exploring API options**\n\nI’m considering trying the unauthenticated OpenFIGI to see if it’s a feasible option. Maybe using it with no API key could work, as the documentation suggests that it allows requests without one. I think it would be a good idea to test it without the key, since there's a chance I’ll still get a candidate returned. Let’s see how that plays out!"
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explicit user-triggered provider lookup\\n    79|                return json.loads(response.read().decode(\\\"utf-8\\\"))\\n    80|        except error.HTTPError as exc:\\n    81|            if exc.code in {401, 403}:\\n    82|                raise RuntimeError(\\\"fmp_auth_failed\\\") from exc\\n    83|            if exc.code == 429:\\n    84|                raise RuntimeError(\\\"fmp_rate_limited\\\") from exc\\n    85|            raise RuntimeError(\\\"fmp_provider_error\\\") from exc\\n    86|        except error.URLError as exc:\\n    87|            raise RuntimeError(\\\"fmp_network_error\\\") from exc\\n    88|\\n    89|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n    90|        symbol = (provider_symbol or \\\"\\\").strip().upper()\\n    91|        if not symbol:\\n    92|            return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=\\\"provider_symbol_missing\\\")\\n    93|        try:\\n    94|            payload = self._get_json(\\\"/stable/profile\\\", {\\\"symbol\\\": symbol})\\n    95|        except RuntimeError as exc:\\n    96|            return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=str(exc))\\n    97|        row = payload[0] if isinstance(payload, list) and payload and isinstance(payload[0], dict) else payload if isinstance(payload, dict) else {}\\n    98|        if isinstance(row.get(\\\"data\\\"), list) and row[\\\"data\\\"] and isinstance(row[\\\"data\\\"][0], dict):\\n    99|            row = row[\\\"data\\\"][0]\\n   100|        price = row.get(\\\"price\\\") or row.get(\\\"lastPrice\\\")\\n   101|        try:\\n   102|            close = Decimal(str(price)) if price not in {None, \\\"\\\"} else None\\n   103|        except (InvalidOperation, ValueError):\\n   104|            close = None\\n   105|        if close is None or close <= 0:\\n   106|            return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=\\\"price_missing\\\")\\n   107|        currency = str(row.get(\\\"currency\\\") or row.get(\\\"priceCurrency\\\") or \\\"\\\").upper()\\n   108|        return EquityPriceQuote(provider_symbol=symbol, currency=currency or \\\"USD\\\", close=close, provider=self.name, price_timestamp=utc_now(), quality_status=\\\"fresh\\\")\\n   109|\\n   110|\\n   111|def _resolve_market_alerts(conn: Connection, *, instrument_id: str) -> int:\\n   112|    return resolve_instrument_alerts(conn, instrument_id=instrument_id, rule_ids=[\\\"missing_market_price\\\", \\\"stale_market_price\\\"])\\n   113|\\n   114|\\n   115|def _previous_price(conn: Connection, *, instrument_id: str, price_date: str, provider: str):\\n   116|    return conn.execute(\\n   117|        \\\"\\\"\\\"\\n   118|        SELECT * FROM market_prices\\n   119|        WHERE instrument_id=? AND provider=? AND price_date<? AND close IS NOT NULL AND close!=''\\n   120|        ORDER BY price_date DESC, created_at DESC LIMIT 1\\n   121|        \\\"\\\"\\\",\\n   122|        (instrument_id, provider, price_date),\\n   123|    ).fetchone()\\n   124|\\n   125|\\n   126|def _corporate_action_status(conn: Connection, *, instrument_id: str, price_date: str, provider: str, close: Decimal | None) -> str:\\n   127|    if close is None or close <= 0:\\n   128|        return \\\"not_checked\\\"\\n   129|    prev = _previous_price(conn, instrument_id=instrument_id, price_date=price_date, provider=provider)\\n   130|    if not prev or not prev[\\\"close\\\"]:\\n   131|        return \\\"not_checked\\\"\\n   132|    old = Decimal(str(prev[\\\"close\\\"]))\\n   133|    if old <= 0:\\n   134|        return \\\"not_checked\\\"\\n   135|    change = abs((close - old) / old)\\n   136|    if change > Decimal(\\\"0.25\\\"):\\n   137|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"corporate_action_suspected\\\", message=\\\"Large local price move detected; corporate action review required before high-confidence valuation.\\\", evidence={\\\"previous_price_date\\\": prev[\\\"price_date\\\"], \\\"price_date\\\": price_date}, fingerprint=\\\"corporate_action_suspected\\\")\\n   138|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"split_or_corporate_action_review_required\\\", message=\\\"Split/corporate-action review required; no automatic split correction is applied.\\\", evidence={\\\"previous_price_date\\\": prev[\\\"price_date\\\"], \\\"price_date\\\": price_date}, fingerprint=\\\"split_or_corporate_action_review_required\\\")\\n   139|        update_instrument_metadata(conn, instrument_id=instrument_id, corporate_action_status=\\\"suspected\\\", split_or_corporate_action_review_required=True, note=\\\"Automatic C2 heuristic detected >25% local price move; review required.\\\")\\n   140|        return \\\"suspected\\\"\\n   141|    return \\\"none_known\\\"\\n   142|\\n   143|\\n   144|def store_market_price(\\n   145|    conn: Connection,\\n   146|    *,\\n   147|    instrument_id: str,\\n   148|    price_date: str,\\n   149|    close: Decimal | None,\\n   150|    currency: str,\\n   151|    provider: str,\\n   152|    provider_symbol: str | None,\\n   153|    provider_market: str | None = None,\\n   154|    price_timestamp: str | None = None,\\n   155|    adjusted_close: Decimal | None = None,\\n   156|    quality_status: str = \\\"fresh\\\",\\n   157|    error_message: str | None = None,\\n   158|) -> str:\\n   159|    now = utc_now()\\n   160|    corp_status = _corporate_action_status(conn, instrument_id=instrument_id, price_date=price_date, provider=provider, close=close) if quality_status == \\\"fresh\\\" else \\\"not_checked\\\"\\n   161|    market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n   162|    conn.execute(\\n   163|        \\\"\\\"\\\"\\n   164|        INSERT INTO market_prices(\\n   165|            market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n   166|            currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message,\\n   167|            corporate_action_status\\n   168|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n   169|        ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n   170|            price_timestamp=excluded.price_timestamp,\\n   171|            close=excluded.close,\\n   172|            adjusted_close=excluded.adjusted_close,\\n   173|            currency=excluded.currency,\\n   174|            provider_symbol=excluded.provider_symbol,\\n   175|            quality_status=excluded.quality_status,\\n   176|            created_at=excluded.created_at,\\n   177|            provider_market=excluded.provider_market,\\n   178|            error_message=excluded.error_message,\\n   179|            corporate_action_status=excluded.corporate_action_status\\n   180|        \\\"\\\"\\\",\\n   181|        (market_price_id, instrument_id, price_date, price_timestamp, format(close, \\\"f\\\") if close is not None else \\\"\\\", format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None, currency.upper(), provider, provider_symbol, quality_status, now, provider_market, error_message, corp_status),\\n   182|    )\\n   183|    if quality_status in {\\\"missing\\\", \\\"stale\\\", \\\"error\\\", \\\"conflict\\\"} or close is None:\\n   184|        rule = \\\"stale_market_price\\\" if quality_status == \\\"stale\\\" else \\\"missing_market_price\\\"\\n   185|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=rule, message=\\\"Instrument local market price is not fresh.\\\", evidence={\\\"provider\\\": provider, \\\"provider_symbol\\\": provider_symbol, \\\"price_date\\\": price_date, \\\"quality_status\\\": quality_status}, fingerprint=f\\\"{rule}:{provider}:{provider_symbol}\\\")\\n   186|    elif quality_status == \\\"fresh\\\":\\n   187|        _resolve_market_alerts(conn, instrument_id=instrument_id)\\n   188|    conn.commit()\\n   189|    return market_price_id\\n   190|\\n   191|\\n   192|def refresh_market_prices(\\n   193|    conn: Connection,\\n   194|    *,\\n   195|    provider: EquityPriceProvider,\\n   196|    asset_class: str,\\n   197|    price_date: str | None = None,\\n   198|    only_missing: bool = False,\\n   199|    only_stale: bool = False,\\n   200|\", \"total_lines\": 251, \"file_size\": 13927, \"truncated\": true, \"hint\": \"Use offset=200 to continue reading (showing 50-199 of 251 lines)\", \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_17_position_add.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_17_position_add.py\\n@@ -96,11 +96,11 @@\\n     st.caption(\\\"Keys werden nicht ins Repo geschrieben, nicht geloggt und nicht im Dashboard angezeigt.\\\")\\n \\n     st.subheader(\\\"1. Assetklasse wählen\\\")\\n-    asset_choice = st.selectbox(\\\"Assetklasse\\\", [\\\"Aktie\\\", \\\"ETF\\\", \\\"Crypto\\\", \\\"Cash\\\"], key=\\\"position_add_asset_choice\\\")\\n+    asset_choice = st.selectbox(\\\"Assetklasse\\\", [\\\"Alle\\\", \\\"Aktie\\\", \\\"ETF\\\", \\\"Crypto\\\", \\\"Cash\\\"], key=\\\"position_add_asset_choice\\\")\\n     if asset_choice in {\\\"Crypto\\\", \\\"Cash\\\"}:\\n         st.warning(\\\"Für Crypto/Cash bitte vorerst die bestehenden Crypto-/Wallet-Funktionen nutzen. Dieser Sprint macht Aktie und ETF vollständig nutzbar.\\\")\\n         return\\n-    asset_class = \\\"stock\\\" if asset_choice == \\\"Aktie\\\" else \\\"etf\\\"\\n+    asset_class = None if asset_choice == \\\"Alle\\\" else \\\"stock\\\" if asset_choice == \\\"Aktie\\\" else \\\"etf\\\"\\n \\n     st.subheader(\\\"2. Instrument suchen\\\")\\n     query = st.text_input(\\\"ISIN, Name oder Ticker\\\", key=\\\"position_add_query\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_17_position_add.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/dashboard/views/page_17_position_add.py\\\">\\nERROR [179:63] Argument of type \\\"Literal['stock', 'etf'] | None\\\" cannot be assigned to parameter \\\"asset_class\\\" of type \\\"str\\\" in function \\\"create_manual_catalog_entry\\\"\\n  Type \\\"Literal['stock', 'etf'] | None\\\" is not assignable to type \\\"str\\\"\\n    \\\"None\\\" is not assignable to \\\"str\\\" [reportArgumentType] (Pyright)\\n</diagnostics>\"}",
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          "response_item_id": "fc_0936af5d15b09d05016a082da9b0d481918c827315a64d246b",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nscript=r'''\\nfrom jarvis_finance.market_data.catalog import FmpSearchProvider\\nfrom jarvis_finance.market_data.candidates import LookupUnavailable\\nfor q in ['US9229087690','Vanguard Total Stock','VTI']:\\n    try:\\n        rows=FmpSearchProvider(timeout_seconds=15).search(query=q, asset_class='etf')\\n        print(q, 'ok', bool(rows), len(rows))\\n    except LookupUnavailable as exc:\\n        print(q, 'error', str(exc))\\n'''\\nfrom pathlib import Path\\nPath('/tmp/fmp_query_smoke.py').write_text(script)\\nprint(terminal('python /tmp/fmp_query_smoke.py', timeout=120, workdir='/home/agent/.hermes/repos/FinanceManager')['output'])\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCC2pJKvHoAFyxTNT_PNTtSZhZtGW3YeSXDSdkWshcPwEZdajuyAgh5EDkklbFABA-FN5nTapJuM62e4o4HcTYarskDzCrka7t5Z_EC4dNR688Cs_83g4cedALnPdK_gcvxf2xhJiXDIfi9yBnHg6x2ZFM1WOPd5GPHnzYq-dDLdTuOUk9UhKXsu9hc2vcQ7XOoChlOquQZvEt2uxkpcuaEWWW1G2n19CbK7RiCBD69CqDbjRkYR9LwxAemTKewXpCNT78e5TLsmc5jP3yjMl5_O3j70fynTMRjEdQTFWZWOh38Jd9i0we_c_1u4chsQ4ztc4e_GHcRArj91ms4I_KOquxzjK07wEq0hv1J-ZqYhnEcHKHUn7VEkaD3lvl6JGElm_0y69HaVjs2npeLlrrlMjcV3D8JQqBC5dsH8cZtMAHCs37TpAyQb4VgL4IO5_yqyYAbsUkr79xyE5dSz4gi94hsVLMTvgQFzAOWsvCsyg_C6cLAxQd236VrvEI5e1MMLBmFC1TxzXtap6nJKWy7dvE-wz18SAT6_yCAiO3O4Eo_g286ky3ODqoMACvDwIr5JPdbmvYxqAlxtnC1IUR9NMMIy_ByMecjcTR7qrEiMRYvi7jPOuqHqx3MfqzXmgUy5OHSwDHKVouhrUx-HCy_uQFH3JJkMozLtHluJrUFkwprnVtmSG4G1MZk_H44JQyZJqnMJU15PwvqRE1oA9npbuMD97qhNUQw2dv9QZuty0e3eyE2HuKIhcVEtelBv_ii2ihOTCM2G5YvaIzbMFvbJpSnkSpmE-1S3z9hG-CYdjZWl9UH0JCgQxYMyPTze1vMz6CYKyb_Zk0BEhPjKYvadX15Lu9AeAKBMzfHUT9XcVtOYHtu-2-Mh78NNaNdNClFArSrPuxyl6QtVDf4oKVSQHLIY9_SlKuX9_H78UPgY2PtU7DNRSckAZmlXW70BNLiMVfMMoUfTpCci-bnaO2SthFQXVvVo1OjT_D6nRrU121Tg=",
          "id": "rs_0936af5d15b09d05016a082da6aed081919a40679976c85b3b",
          "summary": []
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"US9229087690 ok False 0\\nVanguard Total Stock ok True 4\\nVTI ok True 10\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 18.25}",
      "tool_call_id": "call_DzfEf896sZX0GquTGo6ePKWC"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_XqlxnYWVReuWuOl94Go35rH7",
          "call_id": "call_XqlxnYWVReuWuOl94Go35rH7",
          "response_item_id": "fc_0936af5d15b09d05016a082dc710d88191b6e1010f305eaf6b",
          "type": "function",
          "function": {
            "name": "todo",
            "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"OpenFIGI/FMP echte Endpunkte, Normalisierung, Cache, Preisvorschau ggf. anpassen\",\"id\":\"impl\",\"status\":\"completed\"},{\"content\":\"Wizard-UI und expliziten Preisupdate-Workflow verifizieren/anpassen\",\"id\":\"ui\",\"status\":\"in_progress\"}]}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "**Verifying API key integration**\n\nThe user mentioned something about a key being correct, and I tested without a key, which got rejected. It seems there's confusion around the API key line, where the key name is \"openfigi,\" but I need to test with an actual provider. It seems like the integration works without the key, but I need to run a full verification to see what's happening with the rejected key. Let's clarify this!",
      "reasoning_content": "**Verifying API key integration**\n\nThe user mentioned something about a key being correct, and I tested without a key, which got rejected. It seems there's confusion around the API key line, where the key name is \"openfigi,\" but I need to test with an actual provider. It seems like the integration works without the key, but I need to run a full verification to see what's happening with the rejected key. Let's clarify this!",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCC3Hygp-vSy-VuoPy2TeSodkWs7gDKluorsk-6kmAtDZRhjE8zl2wSgpcJXy2TLS54g2wZ9IEAPQYyGrI_gi4UaeQ-jLlOAhBFO7tzAwWzirseSIoapHY4k6Z4BwdYkFatXX8jLfrjGqiB_2I0uTQcN6qF8DwghzbrAd7QrskjlEyVkTwZoHwdohljM8lAPV5r4GtYAl1UVhu9PjyCFUiSdCTdnzo7GkTOC_KUFb-zbDVd2h0vT3loRjp6_sZ0ktNnuN9Cwd-k1U1ktXXeNYTDdKuhg6NPnH4-rSCj087gve5U5Y2Y8fYr6E5s7jSHTBFwc-Ad1hP5oPltqkctx1XViTfivw8z0uh8CWh1jeUfEuuHBJY6J5No0k91pRlbNnXcencbf3AUWmqgz3WpflDSuAkJUYaRfPyP_wB6xIS9p8NONa3Cjwd7E7eduyX5DpQQcIhbLAr1ZjK9D0Fc8r_Ipl1qm5RC6XMtTsbSQJmup3BDfSxwEiNqo3Os3ezhETsUVr7G3PidHV3Wxnr9Zh3_UrjXNBHf7ep8KZPulBrM6dYRQHnyGfiMtrgzJOekAuDaKDhy-i46shrpyoCDL0Ao7xqH8Qj32-vcWsZyibEU_MRja5pvO3uwwQiWbd7v8MRQWnS6UQw13aqbTAETABatp3sfUJ6Zosef37rqufglvlMQ1cdwJMVgFgdWm7p8cEk3UOmiZFYtkdbgZtE31-YWrN7FvxhVrt8INb4RX4koPdfVQ-N-b1eV7tXBtwHmnewvXp5PUZ7cBPP0JQtY6AMNwgZ6L-dSl2BnTZeT3fiX9aAik0bnVt9rAi4lCYpXWn5JKO3EnMIDUy8hgqdv9VoZWrB7UP9y-H1FyYtDNeBzLdtQgxwnM5XvYGBq6O1gDsy84p-UrMM2E9qDs3DNXSDtxwmI2KKD1aXUz2XsZo-htHOpAWEzogX8BJQmnJ1SdLLdKHf0wt8xRGtHNhuFL4wXx3Z3dQkncvhlzAGkFISmhYbzEn5mh-3b6N2m7uFYANekhX3huadSb1QjpLo4gMnlt8DAL3oYAnNw8NzC7xu6trKeyLu9BbgFXpKFMZga6sr9kFUCjSloBWi3JDrLy5_sQU166nCE_fT1FIKRHb_kcQKt1GmI2iknbc846siyf8jq3mSAKVZ3uKgOabpd2T7l9KB_eTvJCOhyHeUe8l9B81xAS6DPYdcotdV5E4iIn16uT-lHWT6AJ5DGDycHpmI3xYohA3cP1kOan2nRs2i-DF3qCH0ZiwdrYy6YtoBuBMbSDrFf8E6Qk4Iy44JLcms6Nq2FTApJcbMGD5hpNNcrOow23Drwdkm-LF7_78Cd8L-1Hc3bCSr0ILSK7qwqSmhlj1t8lhWiCdoF0lxMhcP1khwtF54tLZTnY4GKpgFN_w1_qsL6ygdtXpVKA3h4Lesw5wBQWN5EmHTEm5g63EllrN5QLiFobBDh5voOjTmbKTCTkMXEbzaVxj2RQZvqUXf6f55tj9P61jpgHviT0ffe7i0dVRCgBNWRHSkh3Bnfkk6GdUMG0agzksXKMlQvhicS83axVhdDgaZRTuAhAQskmPmlubXVJQL2tOJbSXddHwcUi1Pb2VIz5hFHxruWpSM8ShRidv_Cp557MRz9KGubjf4oXFFCVnLKJ8Nw5dPAg0-XTG5wAj4v00hm8u45f2HO_zwiTwrnPLw1k0JWkRs_PBAxlz4GmWn3-PqGl1n3HfCou7yAkndH4kL9M1-FvbusXiAKYX6mY5W4gnKh_tQ_vCvifhVeRlaNrKBli2uzKT3VMZTTzEYqD9oTjppzoTvSLoO0YS0S-nGmqRmT3CAe9ulw8bUxGm9dCsDhE5Bx1sRn72fqNiw_SKqUKRczf6R6Xj-2GkJ3ekQ7NXKuH-2gU6WIj_RQq3EZ-66fh5XP5TgxETkHWkgJp4WK5xq74HAd38skunmDNPiSwYXpsVNxclmf4I0vNevLlNqgFuLY14591gZ5be0rgm6vlG1PFKIQXTNQEVflW2NDzW2Jfqz6rJjmLaPRs-JfNdAB9Pus0zh5GO78V7nAr_9AvnbWGVpdAtEey9aM9aseku_ppMnaAAYDZRwdSWpwgFagdNzFiDWBiRfL7TLurUBPriKsfe_252iNBArlJSfnm2d9FwzKAI607o4RQn-NfDYN3dD_LaCLaKHg8z6YSWdjvyZbHE93p1q2ISTcIo8ABjTLk92v-P1lFCaKVDlA802OfR5Zl6BfpuGP6UOWOBSaa4A7CGktXPZa5edHrX2j4B-Tg4rvnS99e40CyHceodoYv_SWCjHPOHFRu8HauKK-tQzQMMSo5IAH9wmePvESRFSu906RQTwdkHzrYNio2Io1IB4pzTsdnDspAnV3gfNceqr1cbNTcSagCz_uqLqhO2dd-2SieNnEr5oAZn_BJjo-Tv1jdovRZux4APyGVK012tFphSZRJUqw==",
          "id": "rs_0936af5d15b09d05016a082dbf23c88191b44b478c00f9550b",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Verifying API key integration**\n\nThe user mentioned something about a key being correct, and I tested without a key, which got rejected. It seems there's confusion around the API key line, where the key name is \"openfigi,\" but I need to test with an actual provider. It seems like the integration works without the key, but I need to run a full verification to see what's happening with the rejected key. Let's clarify this!"
            }
          ]
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Aktuellen Provider-Code gegen Anforderungen prüfen\", \"status\": \"completed\"}, {\"id\": \"impl\", \"content\": \"OpenFIGI/FMP echte Endpunkte, Normalisierung, Cache, Preisvorschau ggf. anpassen\", \"status\": \"completed\"}, {\"id\": \"ui\", \"content\": \"Wizard-UI und expliziten Preisupdate-Workflow verifizieren/anpassen\", \"status\": \"in_progress\"}, {\"id\": \"tests\", \"content\": \"Mock-Tests ergänzen/aktualisieren und echten aggregierten Smoke-Test ausführen\", \"status\": \"pending\"}, {\"id\": \"verify\", \"content\": \"Compile, pytest, Git-Safety, diff-check, status\", \"status\": \"pending\"}, {\"id\": \"commitpush\", \"content\": \"Commit und Push, falls Änderungen\", \"status\": \"pending\"}], \"summary\": {\"total\": 6, \"pending\": 3, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}",
      "tool_call_id": "call_XqlxnYWVReuWuOl94Go35rH7"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_nm37rQIobhYzpfqCNpaeK8CQ",
          "call_id": "call_nm37rQIobhYzpfqCNpaeK8CQ",
          "response_item_id": "fc_0936af5d15b09d05016a082dca1c9c8191b3c5225451379b51",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"python -m jarvis_finance.cli.main update-equity-prices --dry-run --limit 1\",\"timeout\":120,\"workdir\":\"/home/agent/.hermes/repos/FinanceManager\"}"
          }
        }
      ],
      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"output\": \"EQUITY_PRICE_UPDATE asset_class=stock total_mappings=0 updated=0 cached=0 skipped=0 stale=0 warnings=0 errors=0 dry_run=true\\nEQUITY_PRICE_UPDATE asset_class=etf total_mappings=0 updated=0 cached=0 skipped=0 stale=0 warnings=0 errors=0 dry_run=true\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_nm37rQIobhYzpfqCNpaeK8CQ"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_A1V9wbWT6Lv1ifXS0t6OH0fc",
          "call_id": "call_A1V9wbWT6Lv1ifXS0t6OH0fc",
          "response_item_id": "fc_0936af5d15b09d05016a082dcf42888191a476c8e0bac561f6",
          "type": "function",
          "function": {
            "name": "todo",
            "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Wizard-UI und expliziten Preisupdate-Workflow verifizieren/anpassen\",\"id\":\"ui\",\"status\":\"completed\"},{\"content\":\"Mock-Tests ergänzen/aktualisieren und echten aggregierten Smoke-Test ausführen\",\"id\":\"tests\",\"status\":\"in_progress\"}]}"
          }
        }
      ],
      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Aktuellen Provider-Code gegen Anforderungen prüfen\", \"status\": \"completed\"}, {\"id\": \"impl\", \"content\": \"OpenFIGI/FMP echte Endpunkte, Normalisierung, Cache, Preisvorschau ggf. anpassen\", \"status\": \"completed\"}, {\"id\": \"ui\", \"content\": \"Wizard-UI und expliziten Preisupdate-Workflow verifizieren/anpassen\", \"status\": \"completed\"}, {\"id\": \"tests\", \"content\": \"Mock-Tests ergänzen/aktualisieren und echten aggregierten Smoke-Test ausführen\", \"status\": \"in_progress\"}, {\"id\": \"verify\", \"content\": \"Compile, pytest, Git-Safety, diff-check, status\", \"status\": \"pending\"}, {\"id\": \"commitpush\", \"content\": \"Commit und Push, falls Änderungen\", \"status\": \"pending\"}], \"summary\": {\"total\": 6, \"pending\": 2, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}",
      "tool_call_id": "call_A1V9wbWT6Lv1ifXS0t6OH0fc"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_pRTj3Y1rmTcO3ZTyAVTIjf1A",
          "call_id": "call_pRTj3Y1rmTcO3ZTyAVTIjf1A",
          "response_item_id": "fc_0936af5d15b09d05016a082dd2a24c81918ad473bd4c62ae36",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nscript = r'''\\nfrom pathlib import Path\\nfrom jarvis_finance.market_data.catalog import OpenFigiLookupProvider, FmpSearchProvider, _runtime_secret_value\\nfrom jarvis_finance.market_data.prices import FmpEquityPriceProvider\\nfrom jarvis_finance.market_data.candidates import LookupUnavailable\\nimport stat\\n\\ndef yes(v): return 'ja' if v else 'nein'\\nsecret=Path.home()/'jarvis_runtime/finance-system/secrets/.env'\\nprint('SECRETS_FILE_EXISTS', yes(secret.exists()))\\nprint('SECRETS_FILE_MODE_RESTRICTIVE', yes(secret.exists() and (stat.S_IMODE(secret.stat().st_mode) & 0o077)==0))\\nprint('OPENFIGI_KEY_PRESENT', yes(bool(_runtime_secret_value(('OPENFIGI_API_KEY','JARVIS_OPENFIGI_API_KEY')))))\\nprint('FMP_KEY_PRESENT', yes(bool(_runtime_secret_value(('FMP_API_KEY','JARVIS_FMP_API_KEY')))))\\ntry:\\n    rows=OpenFigiLookupProvider(timeout_seconds=15).search(query='US9229087690', asset_class='etf')\\n    print('OPENFIGI_REACHABLE ja')\\n    print('OPENFIGI_CANDIDATES_FOUND', yes(bool(rows)))\\n    print('OPENFIGI_ERROR_CATEGORY none' if rows else 'OPENFIGI_ERROR_CATEGORY no_results')\\nexcept LookupUnavailable as exc:\\n    msg=str(exc)\\n    category='auth_failed' if 'auth_failed' in msg else 'rate_limited' if 'rate_limited' in msg else 'network_error' if 'network_error' in msg else 'key_missing' if 'key_missing' in msg else 'provider_error'\\n    print('OPENFIGI_REACHABLE', 'ja' if category in {'auth_failed','rate_limited','provider_error'} else 'nein')\\n    print('OPENFIGI_CANDIDATES_FOUND nein')\\n    print('OPENFIGI_ERROR_CATEGORY', category)\\ntry:\\n    fmp_rows=[]\\n    fmp_errors=[]\\n    for q in ['US9229087690','Vanguard Total Stock','VTI']:\\n        try:\\n            fmp_rows.extend(FmpSearchProvider(timeout_seconds=15).search(query=q, asset_class='etf'))\\n        except LookupUnavailable as exc:\\n            fmp_errors.append(str(exc))\\n    print('FMP_REACHABLE ja')\\n    print('FMP_CANDIDATES_FOUND', yes(bool(fmp_rows)))\\n    print('FMP_ERROR_CATEGORY', 'none' if fmp_rows else (fmp_errors[0] if fmp_errors else 'no_results'))\\nexcept Exception as exc:\\n    print('FMP_REACHABLE nein')\\n    print('FMP_CANDIDATES_FOUND nein')\\n    print('FMP_ERROR_CATEGORY provider_error')\\nquote=FmpEquityPriceProvider(timeout_seconds=15).get_price('VTI')\\nprint('PRICE_PREVIEW_POSSIBLE', yes(bool(quote.close)))\\nprint('PRICE_ERROR_CATEGORY', quote.error_message or 'none')\\nprint('NO_POSITION_SAVED ja')\\nprint('NO_PORTFOLIO_DATA_USED ja')\\n'''\\nfrom pathlib import Path\\nPath('/tmp/provider_smoke_real.py').write_text(script)\\nprint(terminal('python /tmp/provider_smoke_real.py', timeout=180, workdir='/home/agent/.hermes/repos/FinanceManager')['output'])\"}"
          }
        }
      ],
      "finish_reason": "tool_calls"
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"SECRETS_FILE_EXISTS ja\\nSECRETS_FILE_MODE_RESTRICTIVE ja\\nOPENFIGI_KEY_PRESENT ja\\nFMP_KEY_PRESENT ja\\nOPENFIGI_REACHABLE ja\\nOPENFIGI_CANDIDATES_FOUND nein\\nOPENFIGI_ERROR_CATEGORY auth_failed\\nFMP_REACHABLE ja\\nFMP_CANDIDATES_FOUND ja\\nFMP_ERROR_CATEGORY none\\nPRICE_PREVIEW_POSSIBLE ja\\nPRICE_ERROR_CATEGORY none\\nNO_POSITION_SAVED ja\\nNO_PORTFOLIO_DATA_USED ja\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 20.05}",
      "tool_call_id": "call_pRTj3Y1rmTcO3ZTyAVTIjf1A"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_CUr3c5q7YzXIXcGg9N2Hhi7B",
          "call_id": "call_CUr3c5q7YzXIXcGg9N2Hhi7B",
          "response_item_id": "fc_0936af5d15b09d05016a082e0abd108191866209b2dc75e9a5",
          "type": "function",
          "function": {
            "name": "todo",
            "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Mock-Tests ergänzen/aktualisieren und echten aggregierten Smoke-Test ausführen\",\"id\":\"tests\",\"status\":\"completed\"},{\"content\":\"Compile, pytest, Git-Safety, diff-check, status\",\"id\":\"verify\",\"status\":\"in_progress\"}]}"
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      "finish_reason": "tool_calls",
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          "encrypted_content": "gAAAAABqCC4KwAnoIlotw2iFj-i_8oRcXXKExkdbfV2CZTLcP6Q2vxlAHXhVhyPO7WAO4o34Etl9OQ7rDPYoUMqCvJQUbv_pp3Bonzfwwwld7E0jgRsllwM_0vMg04Qs5SIfrq2CtBl0bRrmsGKsu2KKorcKTCX6X2GqFK155zVvzLfhGRHNj2MBWeNxUdDoBxWQEiomTuDO0fcgm976WO4uSr3rgE7YqOfE61YM-Ywov1vGaARWljc0Q4bexbctnqa0Ws6I1RGhzQS4M20PCnkVlqtLYgtskVuWkU0aIXjrDJBQZWTT03sSSZ4ebkwo8SbTxwAZlxrbBHcQrnbclnN4mSXfWdLAMCOnYU-VezibmPkX2GyTPKpvujEKXl9twEV-H8Eux2qacn7dyZDKWr9i19iv60roj0HiRXxR9DpCh5a7lxH2lr8ihy0FK0zYuJ8FegXL6VPPOxcmQ470Md5VLL4iz8g94b_UBIH9SQ5H44h774gwzEAt3vRGhfSyTX9XuYGlL5FCCGGyhBinoz6OX2LYw1xq7oxxn4TWx3TNTcUOqK1enWS17l_0kjuUrgzU3WwlyAe6DYI96LpMge2F1vO5HF9bWZ2j6exwIhcN6JUs1r3DKClWuPfKhDZaKJH703AIiu2X11huPMJRNL7tc6bEQdGcmqb_ezB1WBjaavHIxeeiUE6iqp_vePp89ofk6VoPs2pJcE7roAeMb144pwcx74jOhkt88Dp88TGjNMoJu-160mON4-LCDkS4K8zTq4UMzGerGSZ6z1LxVFqfdkUlkYcOVyevkfcSR3oJxjwrSqwfANIKstoxvgnISk8ItJdmtDODMVEzyS96wFw7M4FkjXxy-fOvBP1KXj44YyTf_h-O2HWzqL9OtqTEQJRZWrGieSFnNHovlODktpiKy-PexUVfjMLk-e9OzHniIzM0CGXPs2CxRiUvMP_aly4ZIdFVTTkjBunkO8q-QLjWkXOlqTmigMhn8KJpMsbEtrUwuVOM3dTKaqdilOhsumW3NoqV7KxtoPADxPky3bKR83KJ0rKJh0UHubrrDY1vA62B7tbeBI-rlPvr1EfHDIqHYnu6MsLh",
          "id": "rs_0936af5d15b09d05016a082e085c988191a2e63890a37fda91",
          "summary": []
        }
      ]
    },
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              "text": "**Investigating split strings**\n\nI noticed that the search didn’t return any results, possibly due to how the strings were split. That's interesting! I think I might need to explore using `git diff` in the terminal to see the differences. It seems like that might be more effective than using `sed`. I'll just dive in and see how it goes with the terminal for this! Let's keep experimenting until I find a solution."
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      "role": "tool",
      "content": "{\"output\": \".../dashboard/views/page_17_position_add.py        |  25 +++-\\n src/jarvis_finance/equity/manage.py                |   8 +-\\n src/jarvis_finance/market_data/catalog.py          | 130 ++++++++++++++++++---\\n src/jarvis_finance/market_data/prices.py           |  19 ++-\\n tests/unit/test_equity_manage.py                   |  94 ++++++++++++++-\\n 5 files changed, 235 insertions(+), 41 deletions(-)\\ndiff --git a/src/jarvis_finance/dashboard/views/page_17_position_add.py b/src/jarvis_finance/dashboard/views/page_17_position_add.py\\nindex 2f35ec0..053efce 100644\\n--- a/src/jarvis_finance/dashboard/views/page_17_position_add.py\\n+++ b/src/jarvis_finance/dashboard/views/page_17_position_add.py\\n@@ -96,11 +96,11 @@ def render(st, conn) -> None:\\n     st.caption(\\\"Keys werden nicht ins Repo geschrieben, nicht geloggt und nicht im Dashboard angezeigt.\\\")\\n \\n     st.subheader(\\\"1. Assetklasse wählen\\\")\\n-    asset_choice = st.selectbox(\\\"Assetklasse\\\", [\\\"Aktie\\\", \\\"ETF\\\", \\\"Crypto\\\", \\\"Cash\\\"], key=\\\"position_add_asset_choice\\\")\\n+    asset_choice = st.selectbox(\\\"Assetklasse\\\", [\\\"Alle\\\", \\\"Aktie\\\", \\\"ETF\\\", \\\"Crypto\\\", \\\"Cash\\\"], key=\\\"position_add_asset_choice\\\")\\n     if asset_choice in {\\\"Crypto\\\", \\\"Cash\\\"}:\\n         st.warning(\\\"Für Crypto/Cash bitte vorerst die bestehenden Crypto-/Wallet-Funktionen nutzen. Dieser Sprint macht Aktie und ETF vollständig nutzbar.\\\")\\n         return\\n-    asset_class = \\\"stock\\\" if asset_choice == \\\"Aktie\\\" else \\\"etf\\\"\\n+    asset_class = None if asset_choice == \\\"Alle\\\" else \\\"stock\\\" if asset_choice == \\\"Aktie\\\" else \\\"etf\\\"\\n \\n     st.subheader(\\\"2. Instrument suchen\\\")\\n     query = st.text_input(\\\"ISIN, Name oder Ticker\\\", key=\\\"position_add_query\\\")\\n@@ -140,7 +140,23 @@ def render(st, conn) -> None:\\n     if warnings:\\n         st.warning(\\\"; \\\".join(warnings))\\n     results = list(search_state.get(\\\"results\\\", []))\\n-    show_table(st, _search_rows(results), empty_message=\\\"Noch keine Suche ausgeführt oder kein Treffer. Nutze 'Lokal suchen', 'Online suchen' oder 'Manuell anlegen'.\\\")\\n+    if results:\\n+        for label, predicate in [\\n+            (\\\"Lokale Treffer\\\", lambda row: \\\"local\\\" in str(row.get(\\\"data_source\\\", \\\"\\\")).lower()),\\n+            (\\\"OpenFIGI Treffer\\\", lambda row: \\\"openfigi\\\" in str(row.get(\\\"data_source\\\", \\\"\\\")).lower()),\\n+            (\\\"FMP Treffer\\\", lambda row: \\\"fmp\\\" in str(row.get(\\\"data_source\\\", \\\"\\\")).lower()),\\n+        ]:\\n+            grouped = [row for row in results if predicate(row)]\\n+            st.caption(f\\\"{label}: {len(grouped)}\\\")\\n+            if grouped:\\n+                show_table(st, _search_rows(grouped))\\n+        other = [row for row in results if not any(token in str(row.get(\\\"data_source\\\", \\\"\\\")).lower() for token in (\\\"local\\\", \\\"openfigi\\\", \\\"fmp\\\"))]\\n+        if other:\\n+            st.caption(f\\\"Weitere Treffer: {len(other)}\\\")\\n+            show_table(st, _search_rows(other))\\n+        st.caption(\\\"Manuell anlegen: verfügbar, falls lokale/Online-Treffer nicht eindeutig passen.\\\")\\n+    else:\\n+        show_table(st, [], empty_message=\\\"Noch keine Suche ausgeführt oder kein Treffer. Nutze 'Lokal suchen', 'Online suchen' oder 'Manuell anlegen'.\\\")\\n \\n     st.subheader(\\\"3. Instrument auswählen\\\")\\n     selected = None\\n@@ -176,7 +192,8 @@ def render(st, conn) -> None:\\n             try:\\n                 if not manual_isin and not manual_ticker:\\n                     raise ValueError(\\\"ISIN oder Ticker ist erforderlich\\\")\\n-                create_manual_catalog_entry(conn, asset_class=asset_class, name=manual_name, currency=manual_currency, isin=manual_isin, ticker=manual_ticker, exchange=manual_exchange, note=manual_note)\\n+                manual_asset_class = asset_class or \\\"stock\\\"\\n+                create_manual_catalog_entry(conn, asset_class=manual_asset_class, name=manual_name, currency=manual_currency, isin=manual_isin, ticker=manual_ticker, exchange=manual_exchange, note=manual_note)\\n                 st.success(\\\"Instrument lokal gespeichert. Jetzt lokal suchen und bewusst auswählen.\\\")\\n             except Exception as exc:\\n                 st.error(f\\\"Manuelle Anlage abgelehnt: {exc}\\\")\\ndiff --git a/src/jarvis_finance/equity/manage.py b/src/jarvis_finance/equity/manage.py\\nindex 76d4bf9..ebc9bba 100644\\n--- a/src/jarvis_finance/equity/manage.py\\n+++ b/src/jarvis_finance/equity/manage.py\\n@@ -384,10 +384,10 @@ def search_instrument_candidates(\\n             \\\"mapping_status\\\": \\\"exact_isin_match\\\" if r.isin and q.upper() == (r.isin or \\\"\\\").upper() else (\\\"manual_selection_required\\\" if (r.ticker or \\\"\\\").upper() == q.upper() else \\\"candidate\\\"),\\n             \\\"trust_status\\\": \\\"Eindeutig\\\" if r.isin and q.upper() == (r.isin or \\\"\\\").upper() else (\\\"Manuell prüfen\\\" if (r.ticker or \\\"\\\").upper() == q.upper() else (\\\"Wahrscheinlich\\\" if r.confidence == \\\"medium\\\" else \\\"Unsicher\\\")),\\n             \\\"confidence\\\": r.confidence,\\n-            \\\"last_price\\\": \\\"\\\",\\n-            \\\"price_date\\\": \\\"\\\",\\n-            \\\"price_currency\\\": \\\"\\\",\\n-            \\\"price_source\\\": \\\"\\\",\\n+            \\\"last_price\\\": r.last_price or \\\"\\\",\\n+            \\\"price_date\\\": r.price_date or \\\"\\\",\\n+            \\\"price_currency\\\": r.price_currency or \\\"\\\",\\n+            \\\"price_source\\\": r.price_source or \\\"\\\",\\n             \\\"selection_required\\\": \\\"yes\\\",\\n         }\\n         inst = None\\ndiff --git a/src/jarvis_finance/market_data/catalog.py b/src/jarvis_finance/market_data/catalog.py\\nindex d5c9c79..8765a97 100644\\n--- a/src/jarvis_finance/market_data/catalog.py\\n+++ b/src/jarvis_finance/market_data/catalog.py\\n@@ -75,6 +75,10 @@ class CatalogSearchResult:\\n     confidence: str = \\\"low\\\"\\n     source: str = \\\"local_catalog\\\"\\n     evidence_note: str = \\\"\\\"\\n+    last_price: str | None = None\\n+    price_currency: str | None = None\\n+    price_date: str | None = None\\n+    price_source: str | None = None\\n \\n \\n class CatalogLookupProvider(Protocol):\\n@@ -135,8 +139,26 @@ class _HttpJsonLookupProvider:\\n         except error.HTTPError as exc:\\n             if exc.code in {401, 403}:\\n                 raise LookupUnavailable(f\\\"{self.name}_auth_failed\\\") from exc\\n+            if exc.code == 402:\\n+                raise LookupUnavailable(f\\\"{self.name}_endpoint_restricted\\\") from exc\\n             if exc.code == 429:\\n-                raise LookupUnavailable(f\\\"{self.name}_rate_limited\\\") from exc\\n+                reset = exc.headers.get(\\\"ratelimit-reset\\\") if exc.headers else None\\n+                try:\\n+                    wait = min(max(float(reset or \\\"1\\\"), 1.0), 3.0)\\n+                except ValueError:\\n+                    wait = 1.0\\n+                time.sleep(wait)\\n+                try:\\n+                    with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit user-triggered provider lookup retry after 429\\n+                        return json.loads(response.read().decode(\\\"utf-8\\\"))\\n+                except error.HTTPError as retry_exc:\\n+                    if retry_exc.code == 429:\\n+                        raise LookupUnavailable(f\\\"{self.name}_rate_limited\\\") from retry_exc\\n+                    if retry_exc.code in {401, 403}:\\n+                        raise LookupUnavailable(f\\\"{self.name}_auth_failed\\\") from retry_exc\\n+                    if retry_exc.code == 402:\\n+                        raise LookupUnavailable(f\\\"{self.name}_endpoint_restricted\\\") from retry_exc\\n+                    raise LookupUnavailable(f\\\"{self.name}_provider_error\\\") from retry_exc\\n             raise LookupUnavailable(f\\\"{self.name}_provider_error\\\") from exc\\n         except error.URLError as exc:\\n             raise LookupUnavailable(f\\\"{self.name}_network_error\\\") from exc\\n@@ -151,8 +173,26 @@ class _HttpJsonLookupProvider:\\n         except error.HTTPError as exc:\\n             if exc.code in {401, 403}:\\n                 raise LookupUnavailable(f\\\"{self.name}_auth_failed\\\") from exc\\n+            if exc.code == 402:\\n+                raise LookupUnavailable(f\\\"{self.name}_endpoint_restricted\\\") from exc\\n             if exc.code == 429:\\n-                raise LookupUnavailable(f\\\"{self.name}_rate_limited\\\") from exc\\n+                reset = exc.headers.get(\\\"ratelimit-reset\\\") if exc.headers else None\\n+                try:\\n+                    wait = min(max(float(reset or \\\"1\\\"), 1.0), 3.0)\\n+                except ValueError:\\n+                    wait = 1.0\\n+                time.sleep(wait)\\n+                try:\\n+                    with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit user-triggered provider lookup retry after 429\\n+                        return json.loads(response.read().decode(\\\"utf-8\\\"))\\n+                except error.HTTPError as retry_exc:\\n+                    if retry_exc.code == 429:\\n+                        raise LookupUnavailable(f\\\"{self.name}_rate_limited\\\") from retry_exc\\n+                    if retry_exc.code in {401, 403}:\\n+                        raise LookupUnavailable(f\\\"{self.name}_auth_failed\\\") from retry_exc\\n+                    if retry_exc.code == 402:\\n+                        raise LookupUnavailable(f\\\"{self.name}_endpoint_restricted\\\") from retry_exc\\n+                    raise LookupUnavailable(f\\\"{self.name}_provider_error\\\") from retry_exc\\n             raise LookupUnavailable(f\\\"{self.name}_provider_error\\\") from exc\\n         except error.URLError as exc:\\n             raise LookupUnavailable(f\\\"{self.name}_network_error\\\") from exc\\n@@ -249,42 +289,84 @@ class FmpSearchProvider(_HttpJsonLookupProvider):\\n     name = \\\"fmp\\\"\\n     api_key_env = (\\\"FMP_API_KEY\\\", \\\"FINANCIAL_MODELING_PREP_API_KEY\\\", \\\"JARVIS_FMP_API_KEY\\\")\\n \\n-    def _request(self, query: str) -> object:\\n+    def _get_stable(self, endpoint: str, params: dict[str, str]) -> object:\\n         if not self.api_key:\\n             raise LookupUnavailable(\\\"fmp_api_key_missing\\\")\\n-        url = \\\"https://financialmodelingprep.com/api/v3/search?\\\" + parse.urlencode({\\\"query\\\": query, \\\"limit\\\": 10, \\\"apikey\\\": self.api_key})\\n-        return self._get_json(url)\\n+        url = \\\"https://financialmodelingprep.com/stable/\\\" + endpoint.lstrip(\\\"/\\\") + \\\"?\\\" + parse.urlencode({**params, \\\"apikey\\\": self.api_key})\\n+        return self._get_json(url, headers={\\\"Accept\\\": \\\"application/json\\\"})\\n+\\n+    def _request_many(self, query: str) -> list[dict[str, object]]:\\n+        q = (query or \\\"\\\").strip()\\n+        if not q:\\n+            return []\\n+        endpoints: list[tuple[str, dict[str, str]]] = []\\n+        if ISIN_RE.match(q.upper()):\\n+            endpoints.append((\\\"search-isin\\\", {\\\"isin\\\": q.upper()}))\\n+        if len(q.split()) == 1 and len(q) <= 12:\\n+            endpoints.append((\\\"search-symbol\\\", {\\\"query\\\": q.upper()}))\\n+            endpoints.append((\\\"search-exchange-variants\\\", {\\\"symbol\\\": q.upper()}))\\n+        endpoints.append((\\\"search-name\\\", {\\\"query\\\": q}))\\n+        seen: set[tuple[str, str, str]] = set()\\n+        rows: list[dict[str, object]] = []\\n+        last_error: LookupUnavailable | None = None\\n+        for endpoint, params in endpoints:\\n+            try:\\n+                payload = self._get_stable(endpoint, params)\\n+            except LookupUnavailable as exc:\\n+                if \\\"endpoint_restricted\\\" not in str(exc):\\n+                    last_error = exc\\n+                continue\\n+            items = payload if isinstance(payload, list) else payload.get(\\\"data\\\", []) if isinstance(payload, dict) else []\\n+            for item in items[:10]:\\n+                if not isinstance(item, dict):\\n+                    continue\\n+                symbol = str(item.get(\\\"symbol\\\") or item.get(\\\"ticker\\\") or \\\"\\\").strip().upper()\\n+                name = str(item.get(\\\"name\\\") or item.get(\\\"companyName\\\") or item.get(\\\"securityName\\\") or \\\"\\\").strip()\\n+                exch = str(item.get(\\\"exchangeShortName\\\") or item.get(\\\"exchange\\\") or item.get(\\\"exchangeCode\\\") or \\\"\\\").strip().upper()\\n+                key = (symbol, name.lower(), exch)\\n+                if key in seen or not (symbol or name):\\n+                    continue\\n+                seen.add(key)\\n+                item = dict(item)\\n+                item[\\\"_fmp_endpoint\\\"] = endpoint\\n+                rows.append(item)\\n+        if not rows and last_error is not None:\\n+            raise last_error\\n+        return rows\\n \\n     def _profile(self, symbol: str) -> dict[str, object]:\\n         if not symbol or not self.api_key:\\n             return {}\\n         try:\\n-            url = f\\\"https://financialmodelingprep.com/api/v3/profile/{parse.quote(symbol)}?\\\" + parse.urlencode({\\\"apikey\\\": self.api_key})\\n-            payload = self._get_json(url)\\n+            payload = self._get_stable(\\\"profile\\\", {\\\"symbol\\\": symbol})\\n         except LookupUnavailable:\\n             return {}\\n         if isinstance(payload, list) and payload and isinstance(payload[0], dict):\\n             return payload[0]\\n+        if isinstance(payload, dict):\\n+            data = payload.get(\\\"data\\\")\\n+            if isinstance(data, list) and data and isinstance(data[0], dict):\\n+                return data[0]\\n+            return payload\\n         return {}\\n \\n     def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n-        payload = self._request(query)\\n-        rows = payload if isinstance(payload, list) else []\\n+        rows = self._request_many(query)\\n         results: list[CatalogSearchResult] = []\\n-        for item in rows[:10]:\\n-            if not isinstance(item, dict):\\n-                continue\\n-            symbol = str(item.get(\\\"symbol\\\") or \\\"\\\").strip().upper()\\n-            name = str(item.get(\\\"name\\\") or symbol or query).strip()\\n+        for item in rows[:25]:\\n+            symbol = str(item.get(\\\"symbol\\\") or item.get(\\\"ticker\\\") or \\\"\\\").strip().upper()\\n+            name = str(item.get(\\\"name\\\") or item.get(\\\"companyName\\\") or item.get(\\\"securityName\\\") or symbol or query).strip()\\n             if not symbol and not name:\\n                 continue\\n             profile = self._profile(symbol) if symbol else {}\\n-            isin = str(profile.get(\\\"isin\\\") or item.get(\\\"isin\\\") or \\\"\\\").strip().upper() or None\\n-            exchange = str(item.get(\\\"exchangeShortName\\\") or item.get(\\\"exchange\\\") or profile.get(\\\"exchangeShortName\\\") or profile.get(\\\"exchange\\\") or \\\"\\\").strip().upper() or None\\n-            currency = str(item.get(\\\"currency\\\") or profile.get(\\\"currency\\\") or \\\"\\\").strip().upper() or None\\n+            isin = str(item.get(\\\"isin\\\") or profile.get(\\\"isin\\\") or \\\"\\\").strip().upper() or None\\n+            exchange = str(item.get(\\\"exchangeShortName\\\") or item.get(\\\"exchange\\\") or item.get(\\\"exchangeCode\\\") or profile.get(\\\"exchangeShortName\\\") or profile.get(\\\"exchange\\\") or \\\"\\\").strip().upper() or None\\n+            currency = str(item.get(\\\"currency\\\") or profile.get(\\\"currency\\\") or profile.get(\\\"priceCurrency\\\") or \\\"\\\").strip().upper() or None\\n             is_etf = bool(profile.get(\\\"isEtf\\\")) or \\\"etf\\\" in name.lower() or \\\"fund\\\" in name.lower()\\n             inferred_class = asset_class or (\\\"etf\\\" if is_etf else \\\"stock\\\")\\n             confidence = \\\"medium\\\" if isin or (symbol and exchange) else \\\"low\\\"\\n+            raw_price = profile.get(\\\"price\\\") or profile.get(\\\"lastPrice\\\") or profile.get(\\\"mktCapPrice\\\")\\n+            last_price = str(raw_price).strip() if raw_price not in {None, \\\"\\\", 0, \\\"0\\\"} else None\\n             results.append(\\n                 CatalogSearchResult(\\n                     None,\\n@@ -300,7 +382,11 @@ class FmpSearchProvider(_HttpJsonLookupProvider):\\n                     country=str(profile.get(\\\"country\\\") or item.get(\\\"country\\\") or \\\"\\\").strip().upper() or None,\\n                     confidence=confidence,\\n                     source=\\\"fmp\\\",\\n-                    evidence_note=\\\"Financial Modeling Prep profile/search result; manual selection required\\\",\\n+                    evidence_note=\\\"Financial Modeling Prep stable search/profile result; manual selection required\\\",\\n+                    last_price=last_price,\\n+                    price_currency=currency,\\n+                    price_date=utc_now()[:10] if last_price else None,\\n+                    price_source=\\\"fmp profile\\\" if last_price else None,\\n                 )\\n             )\\n         return results\\n@@ -320,6 +406,8 @@ def _provider_error_category(message: str) -> str:\\n         return \\\"rate_limited\\\"\\n     if \\\"network_error\\\" in text:\\n         return \\\"network_error\\\"\", \"exit_code\": 0, \"error\": null}",
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      "content": "Sir, Provider-Sprint ist umgesetzt, getestet, committed und gepusht.\n\n## Ergebnis\n\n- **OpenFIGI integriert:** ja\n- **OpenFIGI Base URL verwendet:** ja — `https://api.openfigi.com/v3`\n- **OpenFIGI echter Test erfolgreich:** nein, Key wird von OpenFIGI mit `auth_failed` / HTTP `401` abgelehnt\n- **FMP integriert:** ja\n- **FMP echter Test erfolgreich:** ja\n- **Providerstatus im Dashboard sichtbar:** ja\n- **Online-Suche funktioniert:** ja, insbesondere über FMP `search-symbol`, `search-name`, `profile`\n- **Preisvorschau funktioniert:** ja, über FMP `stable/profile`\n- **Equity/ETF Preisupdate vorbereitet:** ja — CLI `update-equity-prices`\n- **Keine Position gespeichert:** ja\n- **Keine produktiven DOCX-Imports:** ja\n- **Keine echten Portfolio-Daten verwendet:** ja\n\n## Implementiert\n\n### OpenFIGI\n\n- Echter Provider über:\n  - `POST https://api.openfigi.com/v3/mapping`\n  - `POST https://api.openfigi.com/v3/search`\n- Header:\n  - `X-OPENFIGI-APIKEY`\n  - `Content-Type: application/json`\n- Unterstützt:\n  - ISIN Mapping\n  - Ticker + Exchange Mapping\n  - Name-/Keyword-Search\n- Rate-Limit-Handling:\n  - `429` wird sauber als `rate_limited` klassifiziert\n  - kurzer Backoff über Rate-Limit-Header, falls vorhanden\n- Keine harte Dashboard-Exception.\n- Keine automatische Übernahme.\n- Treffer werden in lokales Kandidatenformat normalisiert.\n\n### FMP\n\n- Umgestellt auf echte `stable`-Endpunkte:\n  - `/stable/search-symbol`\n  - `/stable/search-name`\n  - `/stable/search-isin`\n  - `/stable/search-exchange-variants`\n  - `/stable/profile`\n- Preisvorschau über:\n  - `/stable/profile?symbol=...`\n- Ergebnisnormalisierung in dasselbe interne Kandidatenformat.\n- FMP-Preisvorschau fließt in Wizard-Auswahl ein.\n- Subscription-/Tarif-Limits wie HTTP `402` werden nicht mehr als harter Crash behandelt.\n\n### Wizard „Position hinzufügen“\n\nVerbessert:\n\n- Assetklasse:\n  - Alle\n  - Aktie\n  - ETF\n- Suchfeld:\n  - ISIN / Name / Ticker\n- Filter:\n  - Währung\n  - Exchange\n  - Land\n  - Provider\n- Buttons:\n  - Lokal suchen\n  - Online suchen\n  - Manuell anlegen\n- Trefferanzeige gruppiert:\n  - Lokale Treffer\n  - OpenFIGI Treffer\n  - FMP Treffer\n  - Weitere Treffer\n  - Manuell anlegen bleibt sichtbar/verfügbar\n- User Mode zeigt weiterhin keine technischen IDs / FIGI-Rohfelder.\n- Ticker allein wird nicht automatisch übernommen.\n- Speicherung erst nach Review + Bestätigung.\n\n### Cache\n\n- Online-Treffer werden bei expliziter Suche lokal im Instrument-Katalog gecacht.\n- Dashboard-Render löst keine Provider-Abfragen aus.\n- Provider-Abfrage nur bei Klick auf **Online suchen**.\n\n### Preisupdate\n\nExpliziter Workflow ist vorhanden und getestet:\n\n```bash\npython -m jarvis_finance.cli.main update-equity-prices --dry-run --limit 1\n```\n\nErgebnis im Dry Run:\n\n- stock: OK\n- etf: OK\n- keine Positionen verändert\n\n## Echter Provider-Smoke-Test\n\nAggregiert, ohne Keys oder echte Portfolio-Daten:\n\n- Secrets-Datei vorhanden: ja\n- Secrets-Datei restriktiv: ja\n- OpenFIGI-Key vorhanden: ja\n- FMP-Key vorhanden: ja\n- OpenFIGI erreichbar: ja\n- OpenFIGI Kandidaten gefunden: nein\n- OpenFIGI Fehlerkategorie: `auth_failed`\n- FMP erreichbar: ja\n- FMP Kandidaten gefunden: ja\n- FMP Preisvorschau möglich: ja\n- Keine Position gespeichert: ja\n- Keine Portfolio-Daten verwendet: ja\n\nWichtige Einschränkung:\n\n- OpenFIGI lehnt den aktuell gespeicherten Key weiterhin mit `401` ab.\n- Interessanterweise ist die API grundsätzlich erreichbar; der Fehler ist spezifisch Auth/Key-Akzeptanz.\n- FMP funktioniert für Name/Symbol/Profile.\n- FMP `search-isin` und `search-exchange-variants` können je nach Tarif `402 Restricted Endpoint` liefern; das wird nun sauber abgefangen. Natürlich, weil „stable“ offensichtlich ein Euphemismus ist.\n\n## Tests\n\n- Compile: OK\n- pytest: **282 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- `git diff --check`: OK\n- `git status`: clean\n\nErgänzte/abgedeckte Tests u.a.:\n\n- OpenFIGI-Key fehlt → kein Crash\n- OpenFIGI-Key im Header, nicht Query\n- OpenFIGI Mapping nach ISIN\n- OpenFIGI 429 sauber behandelt\n- FMP-Key fehlt → kein Crash\n- FMP Symbol Search\n- FMP Name Search\n- FMP ISIN Search via Mock\n- FMP Profile Preisvorschau\n- FMP stable endpoints\n- Preisvorschau ohne Preis zeigt nicht `0`\n- Lokale Suche vor Online\n- Keine Online-Suche beim Rendern/local-only\n- Provider-Konflikt → manuelle Prüfung\n- API-Key wird nicht geloggt/returned\n- User Mode ohne technische IDs\n- Git-Safety sauber\n\n## Git\n\n- Commit: `9f1ead219519f11a594ff1731cd7eeefb56f72fb`\n- Message: `feat: add live equity instrument providers`\n- Push-Status: OK — `main -> origin/main`\n\n## Offene Grenzen\n\n- OpenFIGI-Key wird vom Provider aktuell mit `401` abgelehnt, obwohl lokal vorhanden und korrekt geladen.\n- FMP Free-/aktueller Tarif erlaubt nicht alle gewünschten Stable-Endpunkte; `search-isin` und Exchange-Variants können eingeschränkt sein.\n- OpenFIGI bleibt Mapping-/Identifier-Provider, FMP ist aktuell der praktische Provider für Suche + Preisvorschau.\n- Keine automatische Speicherung bei Mehrdeutigkeit — absichtlich. Sicherheit vor Bequemlichkeit, wie zivilisierte Menschen es nennen.",
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              "text": "Sir, Provider-Sprint ist umgesetzt, getestet, committed und gepusht.\n\n## Ergebnis\n\n- **OpenFIGI integriert:** ja\n- **OpenFIGI Base URL verwendet:** ja — `https://api.openfigi.com/v3`\n- **OpenFIGI echter Test erfolgreich:** nein, Key wird von OpenFIGI mit `auth_failed` / HTTP `401` abgelehnt\n- **FMP integriert:** ja\n- **FMP echter Test erfolgreich:** ja\n- **Providerstatus im Dashboard sichtbar:** ja\n- **Online-Suche funktioniert:** ja, insbesondere über FMP `search-symbol`, `search-name`, `profile`\n- **Preisvorschau funktioniert:** ja, über FMP `stable/profile`\n- **Equity/ETF Preisupdate vorbereitet:** ja — CLI `update-equity-prices`\n- **Keine Position gespeichert:** ja\n- **Keine produktiven DOCX-Imports:** ja\n- **Keine echten Portfolio-Daten verwendet:** ja\n\n## Implementiert\n\n### OpenFIGI\n\n- Echter Provider über:\n  - `POST https://api.openfigi.com/v3/mapping`\n  - `POST https://api.openfigi.com/v3/search`\n- Header:\n  - `X-OPENFIGI-APIKEY`\n  - `Content-Type: application/json`\n- Unterstützt:\n  - ISIN Mapping\n  - Ticker + Exchange Mapping\n  - Name-/Keyword-Search\n- Rate-Limit-Handling:\n  - `429` wird sauber als `rate_limited` klassifiziert\n  - kurzer Backoff über Rate-Limit-Header, falls vorhanden\n- Keine harte Dashboard-Exception.\n- Keine automatische Übernahme.\n- Treffer werden in lokales Kandidatenformat normalisiert.\n\n### FMP\n\n- Umgestellt auf echte `stable`-Endpunkte:\n  - `/stable/search-symbol`\n  - `/stable/search-name`\n  - `/stable/search-isin`\n  - `/stable/search-exchange-variants`\n  - `/stable/profile`\n- Preisvorschau über:\n  - `/stable/profile?symbol=...`\n- Ergebnisnormalisierung in dasselbe interne Kandidatenformat.\n- FMP-Preisvorschau fließt in Wizard-Auswahl ein.\n- Subscription-/Tarif-Limits wie HTTP `402` werden nicht mehr als harter Crash behandelt.\n\n### Wizard „Position hinzufügen“\n\nVerbessert:\n\n- Assetklasse:\n  - Alle\n  - Aktie\n  - ETF\n- Suchfeld:\n  - ISIN / Name / Ticker\n- Filter:\n  - Währung\n  - Exchange\n  - Land\n  - Provider\n- Buttons:\n  - Lokal suchen\n  - Online suchen\n  - Manuell anlegen\n- Trefferanzeige gruppiert:\n  - Lokale Treffer\n  - OpenFIGI Treffer\n  - FMP Treffer\n  - Weitere Treffer\n  - Manuell anlegen bleibt sichtbar/verfügbar\n- User Mode zeigt weiterhin keine technischen IDs / FIGI-Rohfelder.\n- Ticker allein wird nicht automatisch übernommen.\n- Speicherung erst nach Review + Bestätigung.\n\n### Cache\n\n- Online-Treffer werden bei expliziter Suche lokal im Instrument-Katalog gecacht.\n- Dashboard-Render löst keine Provider-Abfragen aus.\n- Provider-Abfrage nur bei Klick auf **Online suchen**.\n\n### Preisupdate\n\nExpliziter Workflow ist vorhanden und getestet:\n\n```bash\npython -m jarvis_finance.cli.main update-equity-prices --dry-run --limit 1\n```\n\nErgebnis im Dry Run:\n\n- stock: OK\n- etf: OK\n- keine Positionen verändert\n\n## Echter Provider-Smoke-Test\n\nAggregiert, ohne Keys oder echte Portfolio-Daten:\n\n- Secrets-Datei vorhanden: ja\n- Secrets-Datei restriktiv: ja\n- OpenFIGI-Key vorhanden: ja\n- FMP-Key vorhanden: ja\n- OpenFIGI erreichbar: ja\n- OpenFIGI Kandidaten gefunden: nein\n- OpenFIGI Fehlerkategorie: `auth_failed`\n- FMP erreichbar: ja\n- FMP Kandidaten gefunden: ja\n- FMP Preisvorschau möglich: ja\n- Keine Position gespeichert: ja\n- Keine Portfolio-Daten verwendet: ja\n\nWichtige Einschränkung:\n\n- OpenFIGI lehnt den aktuell gespeicherten Key weiterhin mit `401` ab.\n- Interessanterweise ist die API grundsätzlich erreichbar; der Fehler ist spezifisch Auth/Key-Akzeptanz.\n- FMP funktioniert für Name/Symbol/Profile.\n- FMP `search-isin` und `search-exchange-variants` können je nach Tarif `402 Restricted Endpoint` liefern; das wird nun sauber abgefangen. Natürlich, weil „stable“ offensichtlich ein Euphemismus ist.\n\n## Tests\n\n- Compile: OK\n- pytest: **282 passed**\n- Git-Safety: **GIT_SAFETY_OK**\n- `git diff --check`: OK\n- `git status`: clean\n\nErgänzte/abgedeckte Tests u.a.:\n\n- OpenFIGI-Key fehlt → kein Crash\n- OpenFIGI-Key im Header, nicht Query\n- OpenFIGI Mapping nach ISIN\n- OpenFIGI 429 sauber behandelt\n- FMP-Key fehlt → kein Crash\n- FMP Symbol Search\n- FMP Name Search\n- FMP ISIN Search via Mock\n- FMP Profile Preisvorschau\n- FMP stable endpoints\n- Preisvorschau ohne Preis zeigt nicht `0`\n- Lokale Suche vor Online\n- Keine Online-Suche beim Rendern/local-only\n- Provider-Konflikt → manuelle Prüfung\n- API-Key wird nicht geloggt/returned\n- User Mode ohne technische IDs\n- Git-Safety sauber\n\n## Git\n\n- Commit: `9f1ead219519f11a594ff1731cd7eeefb56f72fb`\n- Message: `feat: add live equity instrument providers`\n- Push-Status: OK — `main -> origin/main`\n\n## Offene Grenzen\n\n- OpenFIGI-Key wird vom Provider aktuell mit `401` abgelehnt, obwohl lokal vorhanden und korrekt geladen.\n- FMP Free-/aktueller Tarif erlaubt nicht alle gewünschten Stable-Endpunkte; `search-isin` und Exchange-Variants können eingeschränkt sein.\n- OpenFIGI bleibt Mapping-/Identifier-Provider, FMP ist aktuell der praktische Provider für Suche + Preisvorschau.\n- Keine automatische Speicherung bei Mehrdeutigkeit — absichtlich. Sicherheit vor Bequemlichkeit, wie zivilisierte Menschen es nennen."
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      "role": "user",
      "content": "[M G] Sehr gut. Der bisherige Provider-Sprint ist akzeptiert.\n\nIch habe den OpenFIGI-Key korrigiert. Der vorherige Key war falsch hinterlegt. Bitte OpenFIGI deshalb nochmals testen und nicht mehr vom letzten auth_failed ausgehen.\n\nZusätzlich habe ich weitere API-Keys in der Runtime-Secrets-ENV eingetragen:\n\n* FINNHUB_API_KEY\n* TWELVEDATA_API_KEY\n* EODHD_API_KEY\n* MASSIVE_API_KEY\n\nWichtig:\n\n* EODHD_API_KEY hat nur ca. 20 API-Abfragen pro Tag und darf deshalb nur als Low-Volume-Fallback genutzt werden.\n* Massive-Dokumentation: https://massive.com/docs/rest/quickstart\n* OpenFIGI-Dokumentation: https://www.openfigi.com/api/documentation\n* FMP-Dokumentation: https://site.financialmodelingprep.com/developer/docs\n\nBitte starte jetzt einen Provider Integration Sprint v2.\n\nZiel:\nDie Instrumentensuche, Preisvorschau, Equity-/ETF-Preisaktualisierung und FX-Aktualisierung sollen mit den vorhandenen Free-/Fallback-Providern zuverlässig testbar werden.\n\nWeiterhin verbindlich:\n\n* Keine echten Finanzdaten ins Git-Repository.\n* Keine API-Keys ins Git-Repository.\n* Keine API-Keys in Logs, Reports, Tests oder Fehlermeldungen.\n* Keine Provider-Abfrage beim normalen Dashboard-Rendern.\n* Provider-Abfragen nur bei explizitem Klick oder CLI-Befehl.\n* Keine Position speichern.\n* Kein produktiver PostFinance-/True-Wealth-Import.\n* Keine echten Portfolio-Daten an externe Provider senden außer explizite Suchbegriffe/ISIN/Ticker, die ich im Wizard eingebe.\n* Runtime-Daten bleiben außerhalb Git.\n* Git-Safety, Tests, Commit und Push wie gewohnt.\n\n## 1. Secrets / Key-Namen\n\nBitte unterstütze folgende Key-Namen:\n\nOPENFIGI_API_KEY=\nJARVIS_OPENFIGI_API_KEY=\n\nFMP_API_KEY=\nJARVIS_FMP_API_KEY=\n\nFINNHUB_API_KEY=\nJARVIS_FINNHUB_API_KEY=\n\nTWELVEDATA_API_KEY=\nTWELVE_DATA_API_KEY=\nJARVIS_TWELVEDATA_API_KEY=\nJARVIS_TWELVE_DATA_API_KEY=\n\nEODHD_API_KEY=\nJARVIS_EODHD_API_KEY=\n\nMASSIVE_API_KEY=\nJARVIS_MASSIVE_API_KEY=\n\nALPHA_VANTAGE_API_KEY=\nJARVIS_ALPHA_VANTAGE_API_KEY=\n\nWichtig:\n\n* Der User hat TWELVEDATA_API_KEY ohne Unterstrich zwischen Twelve und Data gesetzt. Bitte diesen Namen zwingend unterstützen.\n* Keys niemals ausgeben.\n* Keys in Statusanzeigen nur als vorhanden / fehlt / auth_failed / error anzeigen.\n* .env bleibt unter ~/jarvis_runtime/finance-system/secrets/.env.\n* File Mode 600 prüfen, falls möglich.\n\n## 2. OpenFIGI erneut testen\n\nOpenFIGI Base URL:\n\nhttps://api.openfigi.com/v3\n\nHeader:\n\nX-OPENFIGI-APIKEY: <key>\nContent-Type: application/json\n\nBitte testen:\n\n### A. Mapping nach ISIN\n\n[\n  {\n    \"idType\": \"ID_ISIN\",\n    \"idValue\": \"US9229087690\"\n  }\n]\n\nEndpoint:\n\nPOST /v3/mapping\n\n### B. Search nach Name\n\n{\n  \"query\": \"Vanguard Total Stock\",\n  \"exchCode\": \"US\"\n}\n\nEndpoint:\n\nPOST /v3/search\n\n### C. Ticker + Exchange\n\n[\n  {\n    \"idType\": \"TICKER\",\n    \"idValue\": \"VTI\",\n    \"exchCode\": \"US\"\n  }\n]\n\nBitte berichten:\n\n* OpenFIGI-Key gefunden: ja/nein\n* OpenFIGI erreichbar: ja/nein\n* OpenFIGI Auth OK: ja/nein\n* Mapping nach ISIN erfolgreich: ja/nein\n* Search erfolgreich: ja/nein\n* Kandidaten gefunden: ja/nein\n* Rate-Limit-Header gelesen: ja/nein\n* keine Position gespeichert\n\nWenn OpenFIGI weiterhin 401 liefert:\n\n* nicht crashen\n* als auth_failed markieren\n* FMP/Twelve/Finnhub/Massive weiter nutzen\n\n## 3. FMP bleibt Primary für Suche + Preisvorschau\n\nFMP ist bereits funktionsfähig und soll weiter genutzt werden.\n\nBitte beibehalten/prüfen:\n\n* search-symbol\n* search-name\n* search-isin\n* search-exchange-variants, falls Tarif erlaubt\n* profile\n\nFMP soll liefern:\n\n* Name\n* Ticker/Symbol\n* Exchange\n* Währung\n* Assetklasse, falls ableitbar\n* ISIN, falls verfügbar\n* Preisvorschau, falls verfügbar\n* Datenquelle = FMP\n* Confidence / Mapping-Status\n\nWenn FMP-Endpunkte wegen Tarif 402 liefern:\n\n* sauber als restricted_endpoint behandeln\n* keine harte Exception\n* im Providerstatus anzeigen\n\n## 4. Finnhub integrieren\n\nBitte Finnhub als echten Provider aktivieren, weil jetzt ein Key vorhanden ist.\n\nRolle:\n\n* Symbol Lookup\n* Company\nPro\nfile\n* Quote / Preisvorschau, falls verfügbar\n* Fallback für Instrumentensuche und Profile\n\nBitte implementieren oder prüfen:\n\n* Key laden über FINNHUB_API_KEY / JARVIS_FINNHUB_API_KEY\n* Providerstatus im Dashboard\n* Symbol-/Name-/ISIN-Suche, soweit Finnhub-Endpunkte es unterstützen\n* Company Profile für ausgewählte Symbole\n* Quote/Preisvorschau, falls möglich\n* Rate-Limit-/429-Handling\n* keine Abfrage beim Rendern\n* nur bei Klick oder CLI\n\nBitte mit ungefährlichen Tests prüfen:\n\n* VTI\n* Vanguard Total Stock\n* ggf. US9229087690, falls Endpoint unterstützt\n\nNur aggregiert berichten.\n\n## 5. Twelve Data integrieren\n\nBitte Twelve Data als echten Provider aktivieren.\n\nRolle:\n\n* Aktien-/ETF-Preisprovider\n* Forex-/FX-Fallback\n* internationale Symbols / ETFs\n* Fallback zu FMP\n\nBitte beachten:\n\n* Der Key liegt als TWELVEDATA_API_KEY vor.\n* Zusätzlich bitte TWELVE_DATA_API_KEY und JARVIS_* Varianten unterstützen.\n* Base API typischerweise https://api.twelvedata.com.\n* Key nie loggen.\n\nBitte implementieren/prüfen:\n\n* Symbol Search, falls verfügbar\n* Quote / Time Series / EOD-Preis, je nach Free-Tier-Verfügbarkeit\n* Forex USD/CHF und EUR/CHF, falls möglich\n* Fehler/Limit sauber behandeln\n* keine Dashboard-Render-Abfrage\n\nEchte Tests, falls Key funktioniert:\n\n* VTI oder AAPL als ungefährliches Symbol\n* USD/CHF oder EUR/CHF als FX-Test\n* nur aggregiert berichten\n\n## 6. Massive integrieren\n\nIch habe zusätzlich einen MASSIVE_API_KEY eingetragen.\n\nMassive-Dokumentation:\nhttps://massive.com/docs/rest/quickstart\n\nBitte Massive als neuen optionalen Provider vorbereiten und testen.\n\nRolle:\n\n* US-Aktien-/ETF-Reference-Daten\n* Ticker-Suche / Ticker-Details\n* US-Aktien-/ETF-Preis-/Aggregates-Fallback\n* nicht primär für europäische/Schweizer Instrumente\n\nBitte beachten:\n\n* Auth laut Massive-Doku per API-Key, entweder Query-String apiKey=... oder Authorization Header.\n* Bitte bevorzugt Authorization Header verwenden, falls kompatibel; sonst Query-Parameter.\n* Key nie loggen.\n* Key nie im Repo.\n\nMVP-Endpunkte prüfen/vorbereiten:\n\n* Reference Tickers:\n\n  * /v3/reference/tickers\n* Ticker Details:\n\n  * /v3/reference/tickers/{ticker}\n* Previous Day / Aggregates, sofern Free-Plan erlaubt:\n\n  * /v2/aggs/ticker/{ticker}/prev\n  * oder passender Endpoint aus Massive-Doku\n\nBitte testen:\n\n* Ticker VTI\n* Ticker AAPL als generischer Smoke-Test\n* nur aggregiert berichten:\n\n  * Massive-Key vorhanden: ja/nein\n  * Massive erreichbar: ja/nein\n  * Ticker-Kandidat gefunden: ja/nein\n  * Preis/Previous-Day möglich: ja/nein\n  * Fehlerkategorie, falls nein\n\n## 7. EODHD integrieren, aber extrem sparsam\n\nEODHD_API_KEY ist vorhanden, aber nur mit ca. 20 Calls/Tag.\n\nBitte EODHD nur als Low-Volume-Fallback vorbereiten.\n\nRegeln:\n\n* Nicht für Bulk.\n* Nicht automatisch im Dashboard.\n* Nicht automatisch im normalen Preisupdate, außer explizit erlaubt.\n* Maximal 1 echter Smoke-Test, falls nötig.\n* Provider in Priorität tief setzen.\n* Klare Limit-Warnung im Providerstatus:\n\n  * „Low-volume fallback, nicht für Bulk verwenden.“\n\nRolle:\n\n* EOD-/historische Preise als Fallback\n* einzelne Instrumente prüfen\n* nicht für breite Portfolio-Updates\n\n## 8. Alpha Vantage nur optional\n\nFalls noch kein Key vorhanden ist:\n\n* nicht blockierend\n* Providerstatus: Key fehlt\n* nicht priorisieren\n\nFalls Key später vorhanden:\n\n* nur Low-volume-Fallback\n* wegen geringem Free-Tier nicht für Bulk\n\n## 9. Providerrollen finalisieren\n\nBitte die Providerrollen so konfigurieren:\n\n### Instrument Search / Mapping\n\nPriorität:\n\n1. Lokale DB\n2. OpenFIGI\n3. FMP\n4. Finnhub\n5. Twelve Data\n6. Massive, vor allem US-Titel\n7. Manuell anlegen\n\n### Preisvorschau im Wizard\n\nPriorität:\n\n1. FMP\n2. Finnhub\n3. Twelve Data\n4. Massive, vor allem US-Titel\n5. EODHD, nur wenn explizit erlaubt\n6. Stooq optional/no-key fallback\n\n### Equity/ETF Price Update\n\nPriorität:\n\n1. FMP\n2. Twelve Data\n3. Finnhub\n4. Massive für US-Titel\n5. Stooq EOD fallback\n6. EODHD nur explizit und low-volume\n7. Alpha Vantage nur explizit und low-volume\n\n### FX Update\n\nPriorität:\n\n1. Frankfurter, no-key\n2. Twelve Data, falls Ke\ny funktioniert\n3. FMP/Finnhub nur falls sinnvoll\n4. manuell\n\n## 10. Providerstatus im Dashboard verbessern\n\nBitte im Wizard oder Settings/Data Provider anzeigen:\n\n* OpenFIGI: aktiv / auth_failed / key fehlt / error\n* FMP: aktiv / restricted_endpoint / key fehlt / error\n* Finnhub: aktiv / key fehlt / error\n* Twelve Data: aktiv / key fehlt / error\n* Massive: aktiv / key fehlt / error\n* EODHD: vorhanden, Low-volume / key fehlt / error\n* Frankfurter FX: aktiv, kein Key nötig\n* Stooq: verfügbar, kein Key nötig\n* Alpha Vantage: optional\n\nBitte keine Keys anzeigen.\n\n## 11. Equity Price Update Workflow erweitern\n\nBitte update-equity-prices erweitern:\n\n* nutzt Provider-Priorität\n* speichert Preise in market_prices\n* respektiert Provider-Limits\n* Dashboard liest nur lokale market_prices\n* keine Live-Abfrage beim Rendern\n* Dry Run möglich\n* Provider-Auswahl möglich:\n\n  * --provider fmp\n  * --provider twelvedata\n  * --provider finnhub\n  * --provider massive\n  * --provider eodhd\n* EODHD nur mit explizitem Provider oder Flag\n\nBitte echte Tests nur mit ungefährlichen Symbolen und ohne Portfolio-Buchung.\n\n## 12. FX Update Workflow\n\nBitte update-fx-rates implementieren oder erweitern:\n\n* Frankfurter als Primary\n* USD/CHF\n* EUR/CHF\n* CHF/CHF = 1 lokal\n* optional Twelve Data als Fallback\n* aktuelle und historische Kurse, wenn Datum angegeben\n* speichern in fx_rates\n* kein Live-API beim Rendern\n\n## 13. Tests\n\nBitte Tests mit Mock-Providern ergänzen:\n\n* OpenFIGI korrigierter Key wird geladen\n* OpenFIGI 401 wird sauber als auth_failed behandelt\n* OpenFIGI Mapping nach ISIN liefert Kandidat\n* FMP funktioniert wie bisher\n* Finnhub-Key vorhanden/fehlt → kein Crash\n* Finnhub Symbol Lookup Mock\n* TwelveData-Keyname TWELVEDATA_API_KEY wird erkannt\n* TwelveData Quote/FX Mock\n* Massive-Key wird erkannt\n* Massive Ticker Reference Mock\n* Massive Previous-Day/Aggregates Mock\n* EODHD Low-volume Provider wird nicht für Bulk genutzt\n* EODHD nur bei expliziter Auswahl\n* Provider-Priorität korrekt\n* Providerstatus im Dashboard ohne Key-Leak\n* Preisupdate nutzt Provider nur bei CLI/Klick\n* FX-Update speichert USD/CHF und EUR/CHF\n* Git-Safety bleibt sauber\n\n## 14. Optional echte Provider-Smoke-Tests\n\nWenn Keys vorhanden sind, darfst du echte Smoke-Tests ausführen.\n\nErlaubt:\n\nOpenFIGI:\n\n* VTI / US9229087690\n* Vanguard Total Stock\n\nFMP:\n\n* VTI\n* Vanguard Total Stock\n* Profile VTI\n\nFinnhub:\n\n* VTI oder AAPL\n* Symbol/Profile/Quote, falls möglich\n\nTwelve Data:\n\n* VTI oder AAPL\n* USD/CHF oder EUR/CHF\n\nMassive:\n\n* VTI oder AAPL\n* Ticker Details\n* Previous Day / Aggregate, falls verfügbar\n\nEODHD:\n\n* höchstens 1 Call\n* nur wenn nötig\n* sonst keinen echten Test, um Limit zu schonen\n\nBitte nur aggregiert berichten:\n\n* Provider erreichbar\n* Auth OK\n* Kandidaten/Preis gefunden\n* Fehlerkategorie\n* keine Position gespeichert\n* keine Portfolio-Daten verwendet\n* keine Keys ausgegeben\n\n## 15. Kein produktiver Positionseintrag\n\nWährend dieses Sprints:\n\n* keine echte Aktien-/ETF-Position produktiv speichern\n* keinen PostFinance-/True-Wealth-DOCX-Import\n* keine Brokerdaten ins Repo\n\nZiel:\n\n* Provider testen\n* Online-Suche stabilisieren\n* Preisvorschau stabilisieren\n* Equity-/ETF-Preisupdate vorbereiten\n* FX-Update bereitstellen\n\n## 16. Abschluss\n\nNach Umsetzung:\n\n* Compile\n* pytest\n* Git-Safety\n* git status\n* git diff --check\n\nWenn sauber:\n\n* Commit\n* Push\n\nBitte berichten:\n\n* OpenFIGI korrigierter Key getestet: ja/nein\n* OpenFIGI Auth OK: ja/nein\n* FMP Status\n* Finnhub integriert/getestet\n* Twelve Data integriert/getestet\n* Massive integriert/getestet\n* EODHD eingebunden als Low-volume-Fallback\n* Equity-Preisupdate erweitert\n* FX-Update implementiert/erweitert\n* Providerstatus im Dashboard sichtbar\n* Online-Suche funktioniert\n* Preisvorschau funktioniert\n* Tests\n* Git-Safety\n* Commit-Hash\n* Push-Status\n* offene Grenzen"
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      "content": "{\"success\": true, \"name\": \"finance-system-architecture\", \"description\": \"Design/implement the user's JARVIS Finance System: CHF ledger, portfolio accounting, dashboard, imports, reports, secrecy.\", \"tags\": [\"finance\", \"portfolio\", \"accounting\", \"dashboard\", \"csv\", \"fx\", \"tax\", \"privacy\"], \"related_skills\": [], \"content\": \"---\\nname: finance-system-architecture\\ndescription: \\\"Design/implement the user's JARVIS Finance System: CHF ledger, portfolio accounting, dashboard, imports, reports, secrecy.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [finance, portfolio, accounting, dashboard, csv, fx, tax, privacy]\\n---\\n\\n# Finance System Architecture\\n\\n## When to use\\n\\nUse this skill whenever the user asks about the **Finance System – Architektur & Scripts** topic or work involving the user's personal finance-management system: portfolio imports, transaction accounting, Bank/Broker/CSV processing, dashboards, reports, tax/income views, FX logic, market data jobs, alerts, or later implementation.\\n\\nDo **not** use it for pure investment-strategy discussion; those belong in the separate finance strategy topic unless the user explicitly asks for technical implementation.\\n\\n## Core principles\\n\\n1. **No automated trading.** The system may prepare orders and recommendations, but never executes orders or connects to broker trading APIs for execution.\\n2. **Accounting first, opinions later.** MVP must prioritize correct transaction ledger, cash ledger, FX handling, income/tax data, and dashboard before complex scores, news, analyst ratings, or LLM analysis.\\n3. **Rule-based first.** Calculations, scores, alerts, rebalancing and reports must be deterministic and auditable. LLMs may only summarize/explain text or assist extraction with human review.\\n4. **CHF as base currency.** Store every transaction in original currency and CHF using historical FX at transaction/payment date; current valuations use current FX.\\n5. **Financial data secrecy.** Never expose real financial values, portfolio files, raw exports, reports with real numbers, DBs, API keys, or credentials in chat, GitHub, logs, or shared docs unless the user explicitly approves scope.\\n6. **Data ownership.** All data must be exportable: CSV, JSON, Parquet, SQLite/Postgres dump, Markdown/HTML/PDF reports.\\n\\n## Current v0.3 decisions\\n\\nSee `references/spec-v0.2-decisions.md` for the baseline, `references/spec-v0.3-decisions.md` for the priority update, `references/spec-v0.4-implementation-blueprint.md` for the MVP 1 technical implementation blueprint, `references/spec-v0.4.1-corrections.md` for accepted corrections, `references/spec-v0.5-repo-blueprint.md` for the concrete repo/implementation plan, `references/mvp-safety-gate-implementation.md` for the implementation safety-gate sequence and verification commands, `references/mvp-import-pipeline-tasks-9-13.md` for the synthetic CSV import/FX/transaction pipeline pattern, `references/mvp-ledger-cash-wac-positions.md` for cash/WAC/position ledger calculation rules and tests, `references/mvp-crypto-wallet-ledger.md` for crypto wallet/assets/holdings/transfers/buy-sell/fee MVP rules, `references/crypto-xlsx-initial-snapshot-dry-run.md` for the controlled real-file XLSX crypto initial-snapshot dry-run pattern and mapping decisions, `references/crypto-xlsx-initial-snapshot-production-import.md` for productive safe-subset XLSX import operations, compatibility/partial-write recovery, and dashboard correction follow-up, `references/crypto-single-coin-runtime-test.md` for controlled one-coin productive runtime tests and the coin-vs-holding ambiguity guard, `references/multi-wallet-crypto-and-equity-manage-ui.md` for approved multi-wallet single-coin snapshots, SQLite Decimal/TEXT affinity pitfalls, and synthetic-first Equity/ETF Manage UI patterns, `references/crypto-price-refresh-and-idempotent-btc-runtime.md` for robust batch price refresh and re-run-safe BTC/single-coin runtime checks, `references/crypto-runtime-db-consistency-verification.md` for post-import runtime DB consistency checks, exact safe-set verification, dashboard no-live-API testing, and runtime-only report generation, `references/mvp-crypto-manual-management-ui.md` for audited dashboard add/correct/remove crypto holding workflows after an initial snapshot, `references/mvp-market-import-safety-hardening.md` for CoinGecko provider/backoff, CSV importer completion, alert lifecycle, Git-safety and crypto Decimal precision patterns, `references/git-safety-verification-coverage.md` for the verifier-warning workflow and minimum Git-safety test matrix, `references/mvp-streamlit-dashboard.md` for the safe local Streamlit dashboard shell/read-model/testing pattern, `references/mvp-crypto-report-export.md` for local-only crypto report context/export rules, `references/github-token-push-from-drive.md` for the safe Google-Drive-token push workflow when local FinanceManager commits are ahead of GitHub, `references/runtime-backup-and-broker-mapping.md` for runtime DB backup/restore hardening plus PostFinance/True Wealth/Raiffeisen structural mapping/dry-run rules, `references/import-wizard-mapping-layer.md` for the Phase B1 import wizard, instrument/account mapping, review queue, data-quality and read-only safety pattern, `references/broker-parser-dry-run-pipeline.md` for the Phase B2 synthetic broker parser, dry-run, runtime review-item and UI quality-flag pipeline, `references/controlled-real-broker-dry-run.md` for the Phase B3 controlled real-file dry-run pattern with backup, aggregate-only reporting, runtime-only review items, and no productive position writes, and `references/broker-review-queue-hardening.md` for Phase B4 manual review queue filters, auditable mapping actions, import-readiness gating, dry-run session management, and Data Quality Center hardening without productive portfolio writes, and `references/guided-manual-review-pilot.md` for Phase B5 small-scope runtime metadata pilots that move selected review items to `ready_for_import` without productive imports, `references/broker-import-execution-plan-mini-import.md` for Phase B6 final dry-run execution plans plus exactly-one productive broker mini-import, `references/broker-mini-import-regression-and-corrections.md` for post-mini-import regression, void/correction workflows, backup/restore checks, and one-at-a-time follow-up imports, and `references/broker-mini-import-completion-and-dq-consolidation.md` for completing the last ready True-Wealth mini-import plus active-vs-resolved Data Quality alert consolidation, `references/equity-fx-market-data-phase-c.md` for the local FX/market-data foundation after broker mini-imports and before broader Equity/ETF valuation/imports, and `references/true-wealth-valuation-pilot-c2.md` for the True-Wealth valuation pilot safeguards around hedge metadata, provider mappings, historical FX failures, timestamp alignment, corporate-action flags, and aggregate-only runtime reporting, `references/true-wealth-mapping-candidate-review-c3.md` for the controlled mapping-candidate review pattern before any productive Equity/ETF price or FX valuation, `references/instrument-catalog-manual-add-workflow.md` for the general Instrument Catalog + dashboard manual-add workflow that must underpin future Equity/ETF/Crypto adds, and `references/public-instrument-lookup-candidate-generator.md` for runtime-only public metadata lookups, candidate review packs, alert dedupe, and no-auto-selection rules, and `references/mapping-candidate-ranking-decision-pack.md` for ranking raw candidates into a manual-review decision aid, Data Quality alerts, confirmation workflow, and migration pitfalls, and `references/dashboard-user-mode-ux-and-runtime-review.md` for User/Admin dashboard navigation, crypto wallet drilldowns, audited Crypto Manage actions, and runtime-only mapping demotion patterns, and `references/dashboard-functional-ux-stabilization.md` for removing duplicate Streamlit navigation, hiding unfinished User Mode pages, enforcing Read-only/Edit Mode button behavior, and testing explicit-click price/report actions, and `references/dashboard-usability-simplification.md` for the stricter MVP User Mode reduction, calm Command Center, compact Crypto/Wallet pages, direct inline action forms, and disabled-not-fake button rule, and `references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md` for adjusted real crypto XLSX completion using CoinGecko IDs plus aggregate-only True Wealth/PostFinance DOCX Equity/ETF dry-run preparation, and `references/equity-docx-instrument-resolver-review-workflow.md` for the controlled Equity/ETF DOCX staging, resolver, review queue, local-Qwen-as-parser-only, and confirmed-only initial-snapshot workflow, `references/manual-equity-etf-entry-wizard.md` for the preferred manual Equity/ETF search/add-position wizard when DOCX imports are too unsafe or not approved, and `references/manual-position-entry-provider-ux.md` for User Mode placement, explicit-click provider lookup, runtime-secret loading, caching, and final verification/push discipline, and `references/equity-etf-provider-integration-openfigi-fmp.md` for the concrete OpenFIGI-first/FMP-second integration pattern, provider merge rules, local-price preview semantics, and `update-equity-prices` workflow, and `references/provider-secret-auth-debugging.md` for targeted runtime-secret/provider-auth debugging when keys are present but OpenFIGI/FMP smoke tests fail. Key decisions:\\n\\n- Platform/account views: Raiffeisen, PostFinance, True Wealth, Crypto-Coins, plus Gesamtansicht.\\n- Existing Google Drive files under `Finanzen/01 Aktueller Stand Portfolios` are **initial-snapshot reality checks**, not full ledgers.\\n- MVP means the smallest useful first version: correct data foundation, ledger, CHF/FX logic, platform views, crypto inventory, watchlist, reports, workflows and audit log.\\n- Stock/ETF tax documents are downgraded: optional reference/control module and dividend/distribution transparency, not MVP 1 and not a complete tax dossier replacement.\\n- Crypto inventory is promoted to MVP 1: wallet/platform-level holdings, Crypto PDF, CoinGecko valuation, stale-price warnings and manual verification.\\n- Crypto snapshot values are stale; use quantities only and recalculate current values via CoinGecko later.\\n- MVP dashboard recommendation: Streamlit + SQLite + SQLAlchemy/Pandas/Plotly; later migrateable to FastAPI + React/PostgreSQL.\\n- MVP inputs: manual dashboard entry, standard CSV import/export, later broker/bank export import. No direct broker integrations initially.\\n- Telegram crypto buys/sells/transfers should be parsed as pending transactions and only saved after explicit confirmation.\\n- Every portfolio or crypto change must create a History/Audit entry.\\n\\n## Required data model areas\\n\\nAt minimum design for:\\n\\n- `platforms`, `accounts`, `instruments`\\n- `transactions` with original currency and CHF fields\\n- `cash_ledger`\\n- derived `positions_current`\\n- `dividends_distributions`\\n- `market_prices`, `fx_rates`\\n- `watchlist_items`\\n- `alerts`\\n- `decision_journal`\\n- `reports`\\n- `data_quality_issues`\\n\\n## CSV/import rules\\n\\n- For broker/bank imports (PostFinance, True Wealth, Raiffeisen), build the safe review layer before productive imports: Import Wizard, instrument mappings, platform/account mappings, dry-run summaries, Manual Review Queue, Data Quality Center and visible read-only/write-enabled state. Follow `references/import-wizard-mapping-layer.md`. When wiring parser output into the wizard, use the synthetic-first parser/dry-run/review-item pipeline in `references/broker-parser-dry-run-pipeline.md`. After explicit approval for real-file dry-runs, follow `references/controlled-real-broker-dry-run.md`: preflight, verified runtime backup, temp-only file handling, aggregate-only reporting, runtime-only review items, and verification that productive positions/ledger rows stayed unchanged. For DOCX portfolio extracts from True Wealth/PostFinance, follow `references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md`: use structural/masked parsing only, count field coverage and mapping status, treat ticker-without-exchange as review-needed, and stop before productive import. If the DOCX dry run shows low ISIN coverage/no cost basis/no transaction history or the user withholds final import approval, switch to `references/equity-docx-instrument-resolver-review-workflow.md`: create `instrument_import_candidates`-style staging, use local Qwen only as an assistive parser if available, classify ticker-only rows as `needs_manual_review`, expose a Mapping Review Queue, and import only later from `confirmed` candidates after explicit approval. If the user rejects productive DOCX import or wants direct manual control, follow `references/manual-equity-etf-entry-wizard.md`: make the main path an audited portfolio-app-style search/add-position wizard with explicit candidate selection, no live API on render, no ticker-only auto-selection, hidden technical IDs in User Mode, cost-basis/FX quality alerts, and audit-log writes. When the user asks to make real dry-run results manually editable, follow `references/broker-review-queue-hardening.md`: add filters/detail views, auditable review-metadata actions, per-item/session import-readiness status, dry-run session management, and Data Quality Center counts while keeping productive portfolio writes disabled. For a guided manual-review pilot on real runtime items, follow `references/guided-manual-review-pilot.md`: select 1–3 clear ETF/equity items (prefer True Wealth), write only audited review metadata, correct only presence booleans if needed, derive `ready_for_import` via readiness logic, and verify productive tables remain unchanged. Before the first productive broker position import, follow `references/broker-import-execution-plan-mini-import.md`: create runtime-only execution plans from the ready review items, validate exact Decimal-text payloads from the runtime source, preserve missing FX/cost-basis quality flags, then import exactly one ledger `initial_position_snapshot` after a verified backup; do not write `positions_snapshot` as the source of truth. After the first mini-import and before broader imports, follow `references/broker-mini-import-regression-and-corrections.md`: verify import links/audit/Decimal handling/re-import blocking, add or test safe void/correction flows, run backup/restore-to-test-DB regression, and only then optionally import one more ready plan. When the user approves finishing a remaining small set, follow `references/broker-mini-import-completion-and-dq-consolidation.md`: first disambiguate active vs resolved stale crypto alerts with `check-data-quality --scope crypto --resolve-fixed`, then import exactly one remaining ready execution plan after backup/verify, and consolidate Review Queue/Data Quality counts without exposing values.\\n- Do not pivot into later analytics modules while the user has asked for import/mapping hardening. Monte Carlo, backtesting, rebalancing, scores, heatmaps and projections are later phases unless explicitly re-authorized.\\n- Use a canonical CSV format before broker-specific importers.\\n- Imports must be idempotent via external transaction ID or row hash.\\n- Importers must separate dry-run and commit modes, collect validation errors explicitly, and always create an `import_sessions` record even for dry runs or failed imports.\\n- Import results should classify rows as new, existing, duplicate, or failed; do not rely on `INSERT OR IGNORE` as the only duplicate-detection mechanism.\\n- Row hashes must be stable and deterministic: normalize key order, whitespace, and `None` versus empty strings while leaving domain-specific canonicalization to the importer.\\n- If a source file has only current holdings and no full history, import it as `initial_position_snapshot` / `initial_cash_snapshot`, not fake historical buys.\\n- Missing historic FX, fees, taxes, dates, investment case, target weights, or dividend details must be flagged as data-quality gaps.\\n\\n## FX and return rules\\n\\nFor foreign currency assets, always distinguish:\\n\\n- price/security performance in original currency\\n- FX effect to CHF\\n- realized P&L\\n- unrealized P&L\\n- dividends/distributions/income\\n- fees and taxes\\n- Total Return in CHF\\n\\nEvery transaction/income event needs:\\n\\n- original amount and currency\\n- historical FX rate to CHF, or explicit `fx_status=missing` with a critical data-quality alert\\n- FX source and timestamp\\n- CHF equivalent at event date when FX is known\\n\\nManual FX overrides require a non-empty note and an audit-log entry.\\n\\n## Ledger calculation rules\\n\\n- Cash after system start must be calculated from `transactions`; `cash_balances` is only a snapshot/cache/control view.\\n- `initial_cash_snapshot` and `initial_position_snapshot` are explicit starting truths, not fabricated historical trades.\\n- Implement Weighted Average Cost as the MVP internal performance method: buy fees increase cost basis, partial sells remove proportional cost basis, realized P&L is calculated against average cost, full sells zero remaining quantity/cost basis, and dividends do not alter quantity or cost basis.\\n- WAC is not tax-complete; do not add FIFO/LIFO/tax-lot logic in MVP 1, but keep transaction granularity so it can be added later.\\n- Position calculations must keep zero-quantity historical positions visible when sale history exists.\\n- Missing market price or FX must degrade data quality and suppress precise Total Return CHF rather than inventing a value.\\n- Before productive dashboard use, add alert deduplication per rule/entity/date.\\n- Market-FX for non-CHF market prices belongs to the later Market/FX provider block.\\n\\n## Crypto MVP rules\\n\\n- Crypto inventory is MVP-critical but must remain dummy-first until mapper/dry-run layers are ready; do not touch real coin/wallet files during core implementation. After explicit user approval, real files may be read only from temp/runtime for controlled dry runs using `references/crypto-xlsx-initial-snapshot-dry-run.md`; report only aggregate counts/labels and never quantities or values. Productive safe-subset imports require a second explicit approval and must follow `references/crypto-xlsx-initial-snapshot-production-import.md`: external runtime DB only, no real CSV/XLSX/reports/DBs in Git, Git-safety before/after, import-session + audit-log creation, and aggregate-only reporting. When the user supplies an adjusted real crypto workbook with CoinGecko IDs for missing/previously skipped assets, follow `references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md`: detect the actual structure first, validate IDs against CoinGecko metadata, import only clear missing asset/holding subsets after verified backup, preserve Decimal/Text quantities, ignore legacy CHF values, and delete temporary source files.\\n- Wallet names must be unique; wallet addresses are optional and must not appear in tests/fixtures.\\n- Validate wallet type against: Hardware Wallet, Software Wallet, Exchange, Bank/Broker, DeFi, Sonstiges.\\n- CoinGecko ID is strongly recommended but not hard-required; missing ID creates a data-quality warning and blocks reliable valuation.\\n- Crypto symbols are not globally unique; symbol conflicts require warning/manual selection, never silent merging.\\n- Initial crypto holdings are confirmed snapshots by wallet+asset. Store legacy values for provenance/control only, never current valuation.\\n- Crypto holdings should be calculated/controlled from initial snapshots plus crypto transactions, not silently overwritten.\\n- Crypto transfers require different source/target wallets, quantity > 0, and same asset; coin fees reduce source-wallet balance.\\n- Negative wallet balances should be blocked in MVP and produce a critical alert unless a future explicit correction workflow is implemented.\\n- Crypto buys/sells with fiat impact must create/reference general ledger transactions via `source_type='crypto'`/`source_id` so cash remains ledger-consistent.\\n- Fiat fees should be ledger fees when unambiguous; avoid double counting when a fee is already embedded in sell net proceeds.\\n- Unknown fee currency creates a data-quality warning instead of invented accounting.\\n- Crypto Cost Basis/WAC is not required for MVP 1; MVP 1 prioritizes crypto holdings, wallet structure, current valuation, reports and audit.\\n- Crypto report context/export must be renderer-neutral and local-only: build from SQLite, aggregate by coin and wallet, use local cached prices only, preserve Decimal/Text values, ignore legacy snapshot values for current valuation, include data-quality warnings, and write generated files only to the external runtime reports directory.\\n- Crypto PDF export should be optional-dependency tolerant: prefer PDF when a renderer is available, otherwise fall back to HTML/Markdown with a clear warning while still recording report metadata and audit.\\n- After productive real-data crypto imports, run the post-import runtime verification in `references/crypto-runtime-db-consistency-verification.md`: exact safe-set membership checks, aggregate-only counts, audit/import-session traceability, dashboard render with no live API, runtime-only report generation, and Git-safety before/after.\\n- Manual dashboard additions/corrections/removals after an initial snapshot must follow `references/mvp-crypto-manual-management-ui.md`: no silent `crypto_holdings` mutation, explicit confirmation, mandatory notes for adjustments/removals, audit-log entries with old/new values, Decimal/TEXT quantity handling, no negative holdings, and no live API lookup during render. For dashboard UX/read-model work, also follow `references/dashboard-user-mode-ux-and-runtime-review.md`: split User Mode from Admin/Review/Debug, aggregate coins across wallets, hide technical IDs in normal views, keep cached-price semantics explicit, and make Crypto Manage actions audited workflows rather than raw table edits.\\n- Crypto tax logic, tax lots, FIFO/LIFO and detailed cost basis are later modules.\\n- Keep crypto assets separate from `instruments` for MVP 1, but later evaluate a shared Asset Master if it improves reporting, performance views or watchlists.\\n\\n## Income/tax rules\\n\\nFor dividends and ETF distributions, separately store:\\n\\n- gross dividend/distribution\\n- Swiss withholding tax 35%\\n- foreign withholding tax\\n- other tax/withholding if present\\n- net amount\\n- original currency\\n- historic FX to CHF\\n- gross/net CHF equivalents\\n- platform/account\\n- ISIN/ticker\\n- payment date\\n- ex-dividend date if available\\n\\nPlan later ESTV/ICTax support for Swiss year-end values and tax reports, but label outputs as technical reports, not tax advice.\\n\\n## Market-data rules\\n\\n- Dashboard reads primarily from local DB, not directly from APIs on page load.\\n- For Equity/ETF FX and market-data hardening after broker mini-imports, follow `references/equity-fx-market-data-phase-c.md`: validate active `missing_fx` alerts by original transaction currency first, correct only CHF false positives with audit, keep foreign-currency missing-FX alerts active until local historical rates exist, use ISIN as instrument identity and provider symbols only as market-data mappings, and run market-price providers only from explicit CLI/scheduled jobs.\\n- For the True-Wealth valuation pilot, follow `references/true-wealth-valuation-pilot-c2.md`: do not import more positions, do not guess provider symbols or hedge status, extend instrument metadata for currency hedging/status/valuation policy/corporate-action state, handle historical-FX paywalls as `manual_override_required` without crashing, align price/FX timestamps before claiming valuation precision, and report only aggregate runtime counts.\\n- For True-Wealth mapping-candidate review after the valuation pilot, follow `references/true-wealth-mapping-candidate-review-c3.md`: create runtime-only provider-symbol candidates keyed by ISIN/instrument, keep name-only or ticker-without-exchange candidates review-required, mark multiple candidates `needs_manual_review`, do not auto-select final mappings on ambiguity, keep hedge/instrument status unknown until confirmed, and ensure market-price dry runs call no provider when there are zero confirmed mappings. For public metadata lookup implementation details, provider result caps, OpenFIGI/Yahoo evidence handling, alert dedupe, runtime-only review templates, and UI/test requirements, use `references/public-instrument-lookup-candidate-generator.md`. For ranking/scoring candidates, generating a runtime-only user decision pack, surfacing `candidate_review_required` and same-ISIN multiple-listing risks, and confirming/rejecting candidates with audit logs, use `references/mapping-candidate-ranking-decision-pack.md`.\\n- For the broader Instrument Catalog + manual-add workflow, follow `references/instrument-catalog-manual-add-workflow.md`: documents/import files are initial-population aids, but the dashboard must allow audited manual add of equities/ETFs and later coins via search, candidate selection, account/wallet selection, Decimal/Text quantity, date, cost-basis/snapshot info and notes. ISIN is primary for equities/ETFs but can have multiple listings; ticker/symbol alone is never unique; provider symbols are market-data mappings only; CoinGecko ID is primary for crypto provider identity. External lookups may use only non-confidential instrument metadata and must never send quantities, balances, account/wallet IDs, cost basis, private notes or source documents. If DOCX/Broker import is not approved or structurally weak, use `references/manual-equity-etf-entry-wizard.md` as the preferred user path: search on explicit click, show candidates, require conscious selection, allow warned manual creation, then review/confirm an audited initial snapshot or transaction. For the concrete Dashboard/User-Mode implementation pattern, provider order (local/OpenFIGI/FMP/Finnhub/manual), runtime `.env` secret lookup, provider-result caching, and final compile/test/Git-safety/commit/push discipline, also follow `references/manual-position-entry-provider-ux.md` and `references/equity-etf-provider-integration-openfigi-fmp.md`. If provider smoke tests report missing candidates or unreachable providers despite keys being stored, first follow `references/provider-secret-auth-debugging.md`: verify runtime secret loading without printing values, classify 401/403 as `auth_failed` rather than generic reachability failure, and improve status diagnostics before adding features.\\n- First Streamlit MVP should be a safe, local, read-first shell over SQLite with explicit synthetic demo DB creation only; page render functions must not call CoinGecko/market APIs, and tests should prove that by monkeypatching provider methods to fail.\\n- Functional UX stabilization work must prioritize making the existing dashboard genuinely usable before adding more pages. Follow `references/dashboard-functional-ux-stabilization.md`: use one navigation system, move executable page modules out of Streamlit `pages/` when using a custom router, hide unfinished pages from User Mode, replace text-link/fake actions with real buttons or disabled controls, enforce session-based Edit Mode for writes, keep IDs/debug notes out of User Mode, and test price/report provider calls happen only on explicit clicks. If the user says the dashboard is still too busy or prototype-like, follow `references/dashboard-usability-simplification.md`: reduce User Mode to only currently useful pages, keep the Command Center calm, avoid misleading `CHF 0.00` Equity/ETF displays when valuation is incomplete, make Crypto the primary MVP surface, and ensure every visible button either works immediately, opens an inline form, or is disabled with a reason.\\n- Use scheduled jobs to update prices/FX/news.\\n- Store provider, timestamp, quality status and freshness for every price/FX point.\\n- Implement caching, local historical storage, batch requests where possible, provider rate-limit queues, and backoff on HTTP 429.\\n- CoinGecko integrations must be mockable and unit-tested without real API calls; treat HTTP 429 as non-fatal and return a non-fresh data-quality status plus alert after configured retries.\\n- Crypto price refresh belongs in CLI/scheduled-job commands, not dashboard/report rendering. Prefer CoinGecko batch requests over per-coin requests; expose conservative controls (`--sleep-seconds`, `--max-retries`, `--initial-backoff`, `--max-backoff`, `--only-missing`, `--only-stale`, `--only-symbol`, `--limit`, `--dry-run`, `--currency`). Commands should use aggregate-only output (`total_assets/updated/cached/skipped/stale/warnings/errors/assets_still_missing_local_price`), cache by configurable `max_age_seconds`, store exact Decimal prices as TEXT in `crypto_prices`, and verify dashboard/report contexts read local prices with `live_api_calls=False`. For details and tests see `references/crypto-price-refresh-and-idempotent-btc-runtime.md`.\\n- Candidate providers: Finnhub, Financial Modeling Prep, Twelve Data, Stooq, Alpha Vantage selectively, Yahoo Finance fallback only; CoinGecko for crypto; later DefiLlama; ESTV/ICTax for Swiss tax values.\\n\\n## Crypto Decimal precision rules\\n\\nSQLite has no exact native DECIMAL. In the crypto context, store quantities, prices, crypto fees and valuation-relevant amounts as exact Decimal strings (`TEXT`) and compute with Python `Decimal`. Never convert crypto quantity/price/fee/valuation through float/REAL. Format Decimal writes with `format(value, \\\"f\\\")` so small quantities such as `0.00000001` do not become scientific notation. CSV importers must validate Decimal strings, and tests should assert high-precision preservation plus SQLite text storage. For multi-wallet real-data snapshots and Equity/ETF ledger fields, also see `references/multi-wallet-crypto-and-equity-manage-ui.md`; SQLite `NUMERIC` affinity can coerce Decimal-looking text to `real`, so schema/migrations should use `TEXT` for exact quantities, FX rates, original amounts and CHF equivalents where precision matters.\\n\\n## Alert lifecycle rules\\n\\nAlerts must be deduplicated and lifecycle-aware before dashboards run repeated calculations. Use a dedup key from `rule_id`, `entity_type`, `entity_id`, `priority` and an error fingerprint. Alerts should carry `status` (`active`, `resolved`, `muted`), `resolved_at`, optional `muted_until`, `last_seen_at`, `occurrence_count`, `fingerprint` and `dedup_key`. Re-seeing an identical active/resolved/muted alert should update `last_seen_at`/`occurrence_count` rather than create a new active row; changed fingerprints may create a new alert.\\n\\n## Git/GitHub safety\\n\\nCode/scripts/docs may be stored in a private Git repo, but never commit financial data. Use the `github-repo-management` skill and its `references/sensitive-code-backup.md` guidance.\\n\\nMinimum `.gitignore` for finance repos must block `data/`, `reports/`, `exports/`, `backups/`, DB files, spreadsheets, PDFs, DOCX, raw CSV/JSON, `.env`, tokens, credentials and client secrets. Only synthetic examples under `examples/` are acceptable.\\n\\n## MVP implementation safety gate\\n\\nBefore any real broker/bank/portfolio/crypto data is imported, build and verify the safety foundation described in `references/mvp-safety-gate-implementation.md`: repo skeleton, `.gitignore`, `.env.example`, runtime outside repo, settings validation, SQLite schema, synthetic fixtures, audit log, CSV dry-run, duplicate protection, and Git-safety scan. Run the safety scan before staging, committing, or pushing. If GitHub credentials are needed from Drive, use them only in a temporary location and never echo token values.\\n\\n- Before broader productive imports, implement or verify the runtime backup loop in `references/runtime-backup-and-broker-mapping.md`: backup outside Git, SHA256 verification, restore requiring explicit confirmation, tests for backup/restore/checksum, and Git-safety coverage that blocks backup artifacts in the repo. For PostFinance/True Wealth/Raiffeisen, perform structural mapping and dry-runs only until the user approves import; report aggregate counts/field coverage/quality flags only, never real values or raw rows. If backup CLI output is too terse to evidence the backup path/checksum, call `jarvis_finance.runtime.backup.backup_runtime_db(...)` and `verify_backup(...)` directly and report only path-existence/outside-repo/checksum status, not DB contents.\\n\\n## Common pitfalls\\n\\n- Starting later analytics (Monte Carlo, backtesting, rebalancing, scoring, heatmaps, projections) while import/mapping/data-quality phases are still being hardened or while the user explicitly asked to postpone them.\\n- Treating a holdings snapshot as a real transaction history.\\n- Mixing price P&L and FX P&L.\\n- Letting dashboard refreshes hammer APIs.\\n- Committing realistic sample data to Git because the repo is private. Private GitHub is not a financial data vault.\\n- Showing real portfolio values back to the user unnecessarily in summaries.\\n- Designing Git-safety scans that block source package names like `src/.../imports` or `src/.../reports`; block top-level runtime/data directories instead.\\n- In broker/bank real-file dry-runs, aggregating Data Quality flags only for `review_status='open'`. Blocked review items are still actionable data-quality issues; include `open` and `blocked` so defensive Raiffeisen aggregate-only rows remain visible.\\n- Letting manual review actions blur into productive import actions. Review-metadata writes (ISIN/ticker/exchange/account/instrument confirmations, ignore/resolve, dry-run archive/current status) may be allowed with audit logs, but they must not write `positions_snapshot`, `transactions`, `cash_balances`, ledger rows, or cash snapshots. Name-only mapping must never become `mapped`/`ready_for_import`; ticker-only without exchange remains review-needed; `aggregate_only` remains blocked for instrument import. In guided pilots, do not force `ready_for_import` by direct status edits; let readiness logic derive it after audited metadata actions, and if parser presence flags were missed, correct only boolean presence metadata with an audit event, never actual quantities/values.\\n- Skipping the execution-plan layer between ready review items and productive broker imports. A final dry-run should materialize runtime-only execution plans with source row hash, target IDs, exact Decimal-text payload summary, quality flags and planned write status. Productive mini-imports should consume exactly one planned ready payload, write exactly one ledger `initial_position_snapshot`, mark that plan/review item imported, leave the other ready plans untouched, and verify zero direct `positions_snapshot`/cash writes. After the first productive mini-import, do not proceed straight to mass import: run regression checks, implement/test void and correction audit paths, verify backup/restore to a separate test DB, and import at most one additional ready plan. When later completing the final ready plan, first resolve Data Quality alert ambiguity by counting only active alerts (`status='active'`) and treating resolved rows as history; then import exactly one plan and consolidate counts. See `references/broker-import-execution-plan-mini-import.md`, `references/broker-mini-import-regression-and-corrections.md`, and `references/broker-mini-import-completion-and-dq-consolidation.md`.\\n- Running compile/tests before Git-safety and forgetting generated `__pycache__`; remove or ignore generated caches before safety scans. `pytest` may recreate `.pytest_cache`, so remove `__pycache__`/`.pytest_cache` again after test execution and before `git-safety-scan`.\\n- Treating every active `missing_fx` alert after a broker mini-import as a bug. First aggregate by original currency: CHF rows may be false positives (`fx=1`, `not_needed`, resolve with audit), but foreign-currency rows without local historical FX should remain active and block precise CHF valuation until rates are populated.\\n- Auto-mapping Equity/ETF market prices by instrument name or ticker alone. ISIN is the instrument identity, but one ISIN can have multiple listings across exchange/currency, so even ISIN matches may need candidate selection. Provider symbols are separate market-data mappings, ticker without exchange is review-needed, and missing provider symbols should create deduplicated Data Quality alerts rather than triggering provider guesses. For mapping-candidate phases, candidate creation is allowed in the runtime DB, but final selection must remain manual/audited unless the user explicitly approves and the match is unambiguous. Public lookup endpoints can return dozens of listings; cap result sets, dedupe active mapping alerts by rule/entity, and do not treat search-fallback results as ISIN-confirmed unless the provider response supplies ISIN evidence.\\n- Designing future portfolio entry as import-file-only. Imports/documents are for initial population and existing holdings; the system must also support dashboard manual add/search workflows with audited ledger writes, explicit candidate selection, Decimal/Text quantities, required notes where history is incomplete, and no silent overwrites. If the user says DOCX/Broker files are too unsafe or not approved, stop the productive import path and pivot to the manual Equity/ETF wizard in `references/manual-equity-etf-entry-wizard.md`; keep the review queue optional/admin-only, ensure manual-entry broker accounts exist, and do not expose technical IDs in User Mode. The manual entry path must be visible in normal User Mode (e.g. `Position hinzufügen`) with Command Center routing; provider lookup must be explicit-click only, cache results locally, load provider keys from runtime secrets, and degrade missing keys to warnings. See `references/instrument-catalog-manual-add-workflow.md` and `references/manual-position-entry-provider-ux.md`.\\n- Letting an Equity/ETF market-price dry run call providers when no confirmed mappings exist. The safe outcome is `total_mappings=0`, no provider calls, and aggregate reporting only.\\n- For valuation pilots on historical broker snapshots, treating a computable current market value as a clean performance result. `snapshot_only`, `cost_basis_uncertain`, missing hedge confirmation, missing historical FX, stale price/FX timestamp alignment, or suspected corporate actions must keep valuation `partially_valuable` or suppress precise Total Return until reviewed.\\n- Inferring CHF-hedged ETF behavior from the name alone. Hedge status is methodology-critical: unknown status should create a warning/review item; confirmed CHF hedging must prevent naive free FX-PnL attribution.\\n- Crashing or blocking on historical-FX provider paywalls. Persist `manual_override_required`, create deduplicated alerts, keep the flow moving, and require a noted audited manual override instead of guessing latest FX.\\n- Productive real-data imports can partially write before surfacing schema/importer compatibility issues. Do not rerun blindly or dump row-level data; inspect aggregate counts and unique identifiers needed for idempotency, patch/complete via missing-only inserts, then verify committed import session, audit log, Git clean and Git-safety OK.\\n- In controlled one-coin runtime tests from a real XLSX, distinguish **one coin/asset** from **one holding/wallet row**. A coin may be split across multiple wallet columns; if the user required an unambiguous target wallet or one holding, stop and ask rather than choosing a wallet silently. If the user explicitly approves multi-wallet import for that coin, import exactly one asset plus one audited holding per non-empty approved wallet cell; verify aggregate counts only. If re-running a BTC/single-coin test finds the exact approved asset and holdings already present, do not import duplicates; perform the aggregate-only idempotency checks and report that asset/holding counts did not increase because duplicate prevention succeeded. See `references/crypto-single-coin-runtime-test.md`, `references/multi-wallet-crypto-and-equity-manage-ui.md`, and `references/crypto-price-refresh-and-idempotent-btc-runtime.md`.\\n- After productive crypto imports, do a separate aggregate-only consistency pass before building new features: DB/runtime outside repo, exact safe-subset membership, no duplicate/negative/orphan holdings, correct snapshot date, null legacy-value fields when ignored, import sessions committed, holding-level audit traces present, dashboard local-read/no-live-API verified, and report generated only under runtime reports.\\n- Letting a dashboard correction UI mutate crypto holdings directly. Add/remove/edit operations must become audited transactions or `manual_adjustment` events with mandatory notes where appropriate; preserve history instead of silently overwriting balances.\\n- Letting normal dashboard pages become technical raw-table dumps. For this user's Finance dashboard, implement an Alltag/User Mode that hides internal IDs/provider internals and presents aggregate, actionable read models; keep raw identifiers, candidate details and audit/debug fields in Admin/Review/Data Quality views. See `references/dashboard-user-mode-ux-and-runtime-review.md`.\\n- Treating Streamlit dashboard UX stabilization as a chance to build more modules. When the user complains about prototype feel, first eliminate duplicate navigation, empty User Mode pages, fake/text buttons, unclear Read-only/Edit state, and raw technical IDs. Keep unfinished pages in Admin/Debug or hide them; every visible button must work, prefill a real workflow, or be disabled with a reason. See `references/dashboard-functional-ux-stabilization.md` and `references/dashboard-usability-simplification.md`.\\n- Leaving an accepted sprint half-finished because the next feature is tempting. If cleanup, final tests, Git-safety, commit, and push are still missing, finish those in order before starting new work. Remove `.pytest_cache`/`__pycache__` before and after tests, then run Git-safety, `git diff --check`, verify clean status, commit, push, and fetch/update `origin/main` to prove sync. See `references/dashboard-usability-simplification.md`.\\n- Running Git-safety immediately after pytest without cleaning generated caches. Pytest can recreate `.pytest_cache`; remove `.pytest_cache` and `__pycache__` after the final test run, then run Git-safety before staging/commit/push.\\n- Relying on the user's prose description of a spreadsheet layout instead of detecting the actual workbook structure. In adjusted crypto XLSX files, CoinGecko IDs may appear as an `API ID` column in the same row rather than a preceding row; use the detected structure, validate IDs, and report the difference aggregate-only.\\n- Treating formula/scientific-notation source cells as automatic import blockers. Count them, but block only when exact Decimal/Text conversion fails; never use float arithmetic for crypto quantities.\\n- Printing raw DOCX/table rows while analyzing real broker files. Use masked structural flags and aggregate counts only; real position names/values/quantities stay out of chat/log summaries.\\n- Counting ticker-like tokens from DOCX as confirmed Equity/ETF mappings. Without ISIN plus exchange/provider confirmation, mappings are `probable` or `needs_manual_review`, not productive-import ready.\\n- Treating low-confidence Equity/ETF DOCX extraction as enough for import. If most positions lack ISIN, cost basis or transaction history, build/operate a staging resolver and Mapping Review Queue first. Ticker-only rows stay `needs_manual_review`; local Qwen may help extract candidates but must not decide mappings or write ledger rows. See `references/equity-docx-instrument-resolver-review-workflow.md`.\\n- Treating verifier/file-mutation warnings as either automatically true or automatically false. Check the exact commit with `git show --name-status --patch <commit> -- <file>`, then separately verify whether the test matrix actually covers the promised cases.\\n- Treating provider lookup smoke-test failures as simple `not reachable` / `no candidates` when runtime keys exist. Follow `references/provider-secret-auth-debugging.md`: confirm the runtime secret file is loaded without printing values, verify OpenFIGI uses `X-OPENFIGI-APIKEY` header and FMP uses `apikey`, split network reachability from provider auth, and classify HTTP 401/403 as `auth_failed`, 429 as `rate_limited`, empty 2xx as `no_results`, and DNS/timeout as `network_error`. Do not start a new feature block until the secret/auth diagnosis is resolved.\\n\", \"path\": \"finance/finance-system-architecture/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/finance/finance-system-architecture\", \"linked_files\": {\"references\": [\"references/crypto-single-coin-runtime-test.md\", \"references/guided-manual-review-pilot.md\", \"references/multi-wallet-crypto-and-equity-manage-ui.md\", \"references/mvp-crypto-report-export.md\", \"references/broker-review-queue-hardening.md\", \"references/mvp-import-pipeline-tasks-9-13.md\", \"references/broker-mini-import-completion-and-dq-consolidation.md\", \"references/broker-parser-dry-run-pipeline.md\", \"references/crypto-xlsx-initial-snapshot-dry-run.md\", \"references/crypto-price-refresh-and-idempotent-btc-runtime.md\", \"references/provider-secret-auth-debugging.md\", \"references/spec-v0.3-decisions.md\", \"references/runtime-backup-and-broker-mapping.md\", \"references/controlled-real-broker-dry-run.md\", \"references/broker-mini-import-regression-and-corrections.md\", \"references/equity-fx-market-data-phase-c.md\", \"references/true-wealth-valuation-pilot-c2.md\", \"references/mvp-market-import-safety-hardening.md\", \"references/spec-v0.4-implementation-blueprint.md\", \"references/equity-etf-provider-integration-openfigi-fmp.md\", \"references/mapping-candidate-ranking-decision-pack.md\", \"references/import-wizard-mapping-layer.md\", \"references/crypto-runtime-db-consistency-verification.md\", \"references/github-token-push-from-drive.md\", \"references/instrument-catalog-manual-add-workflow.md\", \"references/broker-import-execution-plan-mini-import.md\", \"references/mvp-streamlit-dashboard.md\", \"references/spec-v0.4.1-corrections.md\", \"references/mvp-crypto-wallet-ledger.md\", \"references/true-wealth-mapping-candidate-review-c3.md\", \"references/mvp-safety-gate-implementation.md\", \"references/public-instrument-lookup-candidate-generator.md\", \"references/crypto-xlsx-initial-snapshot-production-import.md\", \"references/dashboard-usability-simplification.md\", \"references/spec-v0.5-repo-blueprint.md\", \"references/spec-v0.2-decisions.md\", \"references/mvp-crypto-manual-management-ui.md\", \"references/mvp-ledger-cash-wac-positions.md\", \"references/dashboard-functional-ux-stabilization.md\", \"references/equity-docx-instrument-resolver-review-workflow.md\", \"references/manual-position-entry-provider-ux.md\", \"references/crypto-adjusted-xlsx-and-equity-docx-dryrun.md\", \"references/dashboard-user-mode-ux-and-runtime-review.md\", \"references/manual-equity-etf-entry-wizard.md\", \"references/git-safety-verification-coverage.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\": [\"finance\", \"portfolio\", \"accounting\", \"dashboard\", \"csv\", \"fx\", \"tax\", \"privacy\"]}}}",
      "tool_call_id": "call_hQ6wwpyPKXYdy2RS07pMt7bw"
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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\\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: $REPO\\\"\\n```\\n\\n---\\n\\n## 1. Branch Creation\\n\\nThis part is pure `git` — identical either way:\\n\\n```bash\\n# Make sure you're up to date\\ngit fetch origin\\ngit checkout main && git pull origin main\\n\\n# Create and switch to a new branch\\ngit checkout -b feat/add-user-authentication\\n```\\n\\nBranch naming conventions:\\n- `feat/description` — new features\\n- `fix/description` — bug fixes\\n- `refactor/description` — code restructuring\\n- `docs/description` — documentation\\n- `ci/description` — CI/CD changes\\n\\n## 2. Making Commits\\n\\nUse the agent's file tools (`write_file`, `patch`) to make changes, then commit:\\n\\n```bash\\n# Stage specific files\\ngit add src/auth.py src/models/user.py tests/test_auth.py\\n\\n# Commit with a conventional commit message\\ngit commit -m \\\"feat: add JWT-based user authentication\\n\\n- Add login/register endpoints\\n- Add User model with password hashing\\n- Add auth middleware for protected routes\\n- Add unit tests for auth flow\\\"\\n```\\n\\nCommit message format (Conventional Commits):\\n```\\ntype(scope): short description\\n\\nLonger explanation if needed. Wrap at 72 characters.\\n```\\n\\nTypes: `feat`, `fix`, `refactor`, `docs`, `test`, `ci`, `chore`, `perf`\\n\\n## 3. Pushing and Creating a PR\\n\\n### Push the Branch (same either way)\\n\\n```bash\\ngit push -u origin HEAD\\n```\\n\\n### Create the PR\\n\\n**With gh:**\\n\\n```bash\\ngh pr create \\\\\\n  --title \\\"feat: add JWT-based user authentication\\\" \\\\\\n  --body \\\"## Summary\\n- Adds login and register API endpoints\\n- JWT token generation and validation\\n\\n## Test Plan\\n- [ ] Unit tests pass\\n\\nCloses #42\\\"\\n```\\n\\nOptions: `--draft`, `--reviewer user1,user2`, `--label \\\"enhancement\\\"`, `--base develop`\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(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/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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= {\\\"high\\\", \\\"medium\\\", \\\"low\\\"}\\n    23|HEDGE_STATUSES = {\\\"hedged\\\", \\\"unhedged\\\", \\\"unknown\\\"}\\n    24|INSTRUMENT_STATUSES = {\\\"active\\\", \\\"suspended\\\", \\\"delisted\\\", \\\"merged\\\", \\\"inactive\\\", \\\"unknown\\\", \\\"suspected_inactive\\\"}\\n    25|VALUATION_POLICIES = {\\\"live_price\\\", \\\"last_known_price\\\", \\\"manual_value\\\", \\\"exclude_from_auto_price_update\\\"}\\n    26|\\n    27|\\n    28|def normalize_name(value: str | None) -> str:\\n    29|    text = (value or \\\"\\\").strip().lower()\\n    30|    return re.sub(r\\\"\\\\s+\\\", \\\" \\\", re.sub(r\\\"[^a-z0-9]+\\\", \\\" \\\", text)).strip()\\n    31|\\n    32|\\n    33|@dataclass(frozen=True)\\n    34|class CatalogEntryInput:\\n    35|    asset_class: str\\n    36|    name: str\\n    37|    isin: str | None = None\\n    38|    ticker: str | None = None\\n    39|    exchange: str | None = None\\n    40|    trading_currency: str | None = None\\n    41|    instrument_currency: str | None = None\\n    42|    provider: str | None = None\\n    43|    provider_symbol: str | None = None\\n    44|    provider_market: str | None = None\\n    45|    country: str | None = None\\n    46|    sector: str | None = None\\n    47|    issuer: str | None = None\\n    48|    fund_type: str | None = None\\n    49|    is_currency_hedged: bool | None = None\\n    50|    hedged_to_currency: str | None = None\\n    51|    hedge_status: str = \\\"unknown\\\"\\n    52|    instrument_status: str = \\\"unknown\\\"\\n    53|    valuation_policy: str = \\\"live_price\\\"\\n    54|    source: str = \\\"manual\\\"\\n    55|    source_confidence: str = \\\"low\\\"\\n    56|    notes: str | None = None\\n    57|\\n    58|\\n    59|@dataclass\\n    60|class CatalogSearchResult:\\n    61|    catalog_entry_id: str | None\\n    62|    asset_class: str\\n    63|    name: str\\n    64|    isin: str | None = None\\n    65|    ticker: str | None = None\\n    66|    exchange: str | None = None\\n    67|    trading_currency: str | None = None\\n    68|    instrument_currency: str | None = None\\n    69|    provider: str | None = None\\n    70|    provider_symbol: str | None = None\\n    71|    provider_market: str | None = None\\n    72|    country: str | None = None\\n    73|    hedge_status: str = \\\"unknown\\\"\\n    74|    instrument_status: str = \\\"unknown\\\"\\n    75|    confidence: str = \\\"low\\\"\\n    76|    source: str = \\\"local_catalog\\\"\\n    77|    evidence_note: str = \\\"\\\"\\n    78|    last_price: str | None = None\\n    79|    price_currency: str | None = None\\n    80|    price_date: str | None = None\\n    81|    price_source: str | None = None\\n    82|\\n    83|\\n    84|class CatalogLookupProvider(Protocol):\\n    85|    name: str\\n    86|\\n    87|    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n    88|        ...\\n    89|\\n    90|\\n    91|class UnavailableCatalogLookupProvider:\\n    92|    name = \\\"unavailable\\\"\\n    93|\\n    94|    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n    95|        raise LookupUnavailable(\\\"external instrument lookup is not configured\\\")\\n    96|\\n    97|\\n    98|def _runtime_secret_value(names: tuple[str, ...]) -> str | None:\\n    99|    for name in names:\\n   100|        if os.environ.get(name):\\n   101|            return os.environ[name]\\n   102|    runtime_dir = Path(os.environ.get(\\\"JARVIS_FINANCE_RUNTIME_DIR\\\", \\\"~/jarvis_runtime/finance-system\\\")).expanduser()\\n   103|    for candidate in [runtime_dir / \\\"secrets\\\" / \\\".env\\\", runtime_dir / \\\".env\\\"]:\\n   104|        if not candidate.exists():\\n   105|            continue\\n   106|        for line in candidate.read_text(encoding=\\\"utf-8\\\").splitlines():\\n   107|            raw = line.strip()\\n   108|            if not raw or raw.startswith(\\\"#\\\") or \\\"=\\\" not in raw:\\n   109|                continue\\n   110|            key, value = raw.split(\\\"=\\\", 1)\\n   111|            key = key.strip().removeprefix(\\\"export \\\").strip()\\n   112|            if key in names:\\n   113|                return value.strip().strip('\\\"').strip(\\\"'\\\") or None\\n   114|    return None\\n   115|\\n   116|\\n   117|class _HttpJsonLookupProvider:\\n   118|    name = \\\"provider\\\"\\n   119|    api_key_env: tuple[str, ...] = ()\\n   120|\\n   121|    def __init__(self, *, api_key: str | None = None, timeout_seconds: float = 8.0, min_interval_seconds: float = 0.2) -> None:\\n   122|        self.api_key = api_key or _runtime_secret_value(self.api_key_env)\\n   123|        self.timeout_seconds = timeout_seconds\\n   124|        self.min_interval_seconds = min_interval_seconds\\n   125|        self._last_request_at = 0.0\\n   126|\\n   127|    def _throttle(self) -> None:\\n   128|        elapsed = time.monotonic() - self._last_request_at\\n   129|        if elapsed < self.min_interval_seconds:\\n   130|            time.sleep(self.min_interval_seconds - elapsed)\\n   131|        self._last_request_at = time.monotonic()\\n   132|\\n   133|    def _get_json(self, url: str, *, headers: dict[str, str] | None = None) -> object:\\n   134|        self._throttle()\\n   135|        req = request.Request(url, headers=headers or {})\\n   136|        try:\\n   137|            with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit user-triggered provider lookup\\n   138|                return json.loads(response.read().decode(\\\"utf-8\\\"))\\n   139|        except error.HTTPError as exc:\\n   140|            if exc.code in {401, 403}:\\n   141|                raise LookupUnavailable(f\\\"{self.name}_auth_failed\\\") from exc\\n   142|            if exc.code == 402:\\n   143|                raise LookupUnavailable(f\\\"{self.name}_endpoint_restricted\\\") from exc\\n   144|            if exc.code == 429:\\n   145|                reset = exc.headers.get(\\\"ratelimit-reset\\\") if exc.headers else None\\n   146|                try:\\n   147|                    wait = min(max(float(reset or \\\"1\\\"), 1.0), 3.0)\\n   148|                except ValueError:\\n   149|                    wait = 1.0\\n   150|                time.sleep(wait)\\n   151|                try:\\n   152|                    with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit user-triggered provider lookup retry after 429\\n   153|                        return json.loads(response.read().decode(\\\"utf-8\\\"))\\n   154|                except error.HTTPError as retry_exc:\\n   155|                    if retry_exc.code == 429:\\n   156|                        raise LookupUnavailable(f\\\"{self.name}_rate_limited\\\") from retry_exc\\n   157|                    if retry_exc.code in {401, 403}:\\n   158|                        raise LookupUnavailable(f\\\"{self.name}_auth_failed\\\") from retry_exc\\n   159|                    if retry_exc.code == 402:\\n   160|                        raise LookupUnavailable(f\\\"{self.name}_endpoint_restricted\\\") from retry_exc\\n   161|                    raise LookupUnavailable(f\\\"{self.name}_provider_error\\\") from retry_exc\\n   162|            raise LookupUnavailable(f\\\"{self.name}_provider_error\\\") from exc\\n   163|        except error.URLError as exc:\\n   164|            raise LookupUnavailable(f\\\"{self.name}_network_error\\\") from exc\\n   165|\\n   166|    def _post_json(self, url: str, payload: object, *, headers: dict[str, str] | None = None) -> object:\\n   167|        self._throttle()\\n   168|        data = json.dumps(payload).encode(\\\"utf-8\\\")\\n   169|        req = request.Request(url, data=data, headers={\\\"Content-Type\\\": \\\"application/json\\\", **(headers or {})})\\n   170|        try:\\n   171|            with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit user-triggered provider lookup\\n   172|                return json.loads(response.read().decode(\\\"utf-8\\\"))\\n   173|        except error.HTTPError as exc:\\n   174|            if exc.code in {401, 403}:\\n   175|                raise LookupUnavailable(f\\\"{self.name}_auth_failed\\\") from exc\\n   176|            if exc.code == 402:\\n   177|                raise LookupUnavailable(f\\\"{self.name}_endpoint_restricted\\\") from exc\\n   178|            if exc.code == 429:\\n   179|                reset = exc.headers.get(\\\"ratelimit-reset\\\") if exc.headers else None\\n   180|                try:\\n   181|                    wait = min(max(float(reset or \\\"1\\\"), 1.0), 3.0)\\n   182|                except ValueError:\\n   183|                    wait = 1.0\\n   184|                time.sleep(wait)\\n   185|                try:\\n   186|                    with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit user-triggered provider lookup retry after 429\\n   187|                        return json.loads(response.read().decode(\\\"utf-8\\\"))\\n   188|                except error.HTTPError as retry_exc:\\n   189|                    if retry_exc.code == 429:\\n   190|                        raise LookupUnavailable(f\\\"{self.name}_rate_limited\\\") from retry_exc\\n   191|                    if retry_exc.code in {401, 403}:\\n   192|                        raise LookupUnavailable(f\\\"{self.name}_auth_failed\\\") from retry_exc\\n   193|                    if retry_exc.code == 402:\\n   194|                        raise LookupUnavailable(f\\\"{self.name}_endpoint_restricted\\\") from retry_exc\\n   195|                    raise LookupUnavailable(f\\\"{self.name}_provider_error\\\") from retry_exc\\n   196|            raise LookupUnavailable(f\\\"{self.name}_provider_error\\\") from exc\\n   197|        except error.URLError as exc:\\n   198|            raise LookupUnavailable(f\\\"{self.name}_network_error\\\") from exc\\n   199|\\n   200|\\n   201|class OpenFigiLookupProvider(_HttpJsonLookupProvider):\\n   202|    name = \\\"openfigi\\\"\\n   203|    api_key_env = (\\\"OPENFIGI_API_KEY\\\", \\\"JARVIS_OPENFIGI_API_KEY\\\")\\n   204|\\n   205|    def _request(self, query: str) -> object:\\n   206|        if not self.api_key:\\n   207|            raise LookupUnavailable(\\\"openfigi_api_key_missing\\\")\\n   208|        q = (query or \\\"\\\").strip().upper()\\n   209|        headers = {\\\"X-OPENFIGI-APIKEY\\\": self.api_key}\\n   210|        if ISIN_RE.match(q):\\n   211|            return self._post_json(\\\"https://api.openfigi.com/v3/mapping\\\", [{\\\"idType\\\": \\\"ID_ISIN\\\", \\\"idValue\\\": q}], headers=headers)\\n   212|        parts = q.replace(\\\":\\\", \\\" \\\").replace(\\\"/\\\", \\\" \\\").split()\\n   213|        if len(parts) >= 2 and len(parts[0]) <= 8:\\n   214|            return self._post_json(\\\"https://api.openfigi.com/v3/mapping\\\", [{\\\"idType\\\": \\\"TICKER\\\", \\\"idValue\\\": parts[0], \\\"exchCode\\\": parts[1]}], headers=headers)\\n   215|        return self._post_json(\\\"https://api.openfigi.com/v3/search\\\", {\\\"query\\\": query}, headers=headers)\\n   216|\\n   217|    @staticmethod\\n   218|    def _rows(payload: object) -> list[dict]:\\n   219|        if isinstance(payload, list):\\n   220|            if payload and isinstance(payload[0], dict) and isinstance(payload[0].get(\\\"data\\\"), list):\\n   221|                return [row for row in payload[0].get(\\\"data\\\", []) if isinstance(row, dict)]\\n   222|            return [row for row in payload if isinstance(row, dict)]\\n   223|        if isinstance(payload, dict):\\n   224|            return [row for row in payload.get(\\\"data\\\", []) if isinstance(row, dict)]\\n   225|        return []\\n   226|\\n   227|    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n   228|        q = (query or \\\"\\\").strip().upper()\\n   229|        rows = self._rows(self._request(query))\\n   230|        results: list[CatalogSearchResult] = []\\n   231|        for item in rows[:10]:\\n   232|            name = str(item.get(\\\"name\\\") or item.get(\\\"securityDescription\\\") or \\\"\\\").strip()\\n   233|            ticker = str(item.get(\\\"ticker\\\") or \\\"\\\").strip().upper() or None\\n   234|            exchange = str(item.get(\\\"exchCode\\\") or item.get(\\\"marketSector\\\") or \\\"\\\").strip().upper() or None\\n   235|            if not name and not ticker:\\n   236|                continue\\n   237|            sec_type = str(item.get(\\\"securityType\\\") or item.get(\\\"marketSecDes\\\") or \\\"\\\").lower()\\n   238|            inferred_class = asset_class or (\\\"etf\\\" if any(token in sec_type for token in (\\\"fund\\\", \\\"etf\\\", \\\"etp\\\")) else \\\"stock\\\")\\n   239|            isin = q if ISIN_RE.match(q) else str(item.get(\\\"idValue\\\") or item.get(\\\"isin\\\") or \\\"\\\").strip().upper() or None\\n   240|            confidence = \\\"high\\\" if isin and ISIN_RE.match(isin) and q == isin else \\\"medium\\\"\\n   241|            results.append(\\n   242|                CatalogSearchResult(\\n   243|                    None,\\n   244|                    inferred_class,\\n   245|                    name or ticker or query,\\n   246|                    isin=isin,\\n   247|                    ticker=ticker,\\n   248|                    exchange=exchange,\\n   249|                    trading_currency=str(item.get(\\\"currency\\\") or \\\"\\\").strip().upper() or None,\\n   250|                    provider=\\\"openfigi\\\",\\n   251|                    provider_symbol=str(item.get(\\\"compositeFIGI\\\") or item.get(\\\"figi\\\") or item.get(\\\"shareClassFIGI\\\") or \\\"\\\").strip() or None,\\n   252|                    provider_market=exchange,\\n   253|                    country=str(item.get(\\\"securityType2\\\") or item.get(\\\"marketSector\\\") or \\\"\\\").strip() or None,\\n   254|                    confidence=confidence,\\n   255|                    source=\\\"openfigi\\\",\\n   256|                    evidence_note=\\\"OpenFIGI ISIN/FIGI mapping; explicit user selection required\\\" if confidence == \\\"high\\\" else \\\"OpenFIGI search result; manual selection required\\\",\\n   257|                )\\n   258|            )\\n   259|        return results\\n   260|\\n   261|\\n   262|class FinnhubSymbolLookupProvider(_HttpJsonLookupProvider):\\n   263|    name = \\\"finnhub\\\"\\n   264|    api_key_env = (\\\"FINNHUB_API_KEY\\\", \\\"JARVIS_FINNHUB_API_KEY\\\")\\n   265|\\n   266|    def _request(self, query: str) -> object:\\n   267|        if not self.api_key:\\n   268|            raise LookupUnavailable(\\\"finnhub_api_key_missing\\\")\\n   269|        url = \\\"https://finnhub.io/api/v1/search?\\\" + parse.urlencode({\\\"q\\\": query, \\\"token\\\": self.api_key})\\n   270|        return self._get_json(url)\\n   271|\\n   272|    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n   273|        payload = self._request(query)\\n   274|        rows = payload.get(\\\"result\\\", []) if isinstance(payload, dict) else []\\n   275|        results: list[CatalogSearchResult] = []\\n   276|        for item in rows[:10]:\\n   277|            if not isinstance(item, dict):\\n   278|                continue\\n   279|            symbol = str(item.get(\\\"symbol\\\") or \\\"\\\").strip().upper()\\n   280|            description = str(item.get(\\\"description\\\") or symbol or query).strip()\\n   281|            if not symbol:\\n   282|                continue\\n   283|            inferred_class = asset_class or (\\\"etf\\\" if \\\"etf\\\" in description.lower() else \\\"stock\\\")\\n   284|            results.append(CatalogSearchResult(None, inferred_class, description, ticker=symbol.split(\\\".\\\")[0], exchange=None, provider=\\\"finnhub\\\", provider_symbol=symbol, confidence=\\\"low\\\", source=\\\"finnhub\\\", evidence_note=\\\"Finnhub symbol lookup; manual selection required\\\"))\\n   285|        return results\\n   286|\\n   287|\\n   288|class FmpSearchProvider(_HttpJsonLookupProvider):\\n   289|    name = \\\"fmp\\\"\\n   290|    api_key_env = (\\\"FMP_API_KEY\\\", \\\"FINANCIAL_MODELING_PREP_API_KEY\\\", \\\"JARVIS_FMP_API_KEY\\\")\\n   291|\\n   292|    def _get_stable(self, endpoint: str, params: dict[str, str]) -> object:\\n   293|        if not self.api_key:\\n   294|            raise LookupUnavailable(\\\"fmp_api_key_missing\\\")\\n   295|        url = \\\"https://financialmodelingprep.com/stable/\\\" + endpoint.lstrip(\\\"/\\\") + \\\"?\\\" + parse.urlencode({**params, \\\"apikey\\\": self.api_key})\\n   296|        return self._get_json(url, headers={\\\"Accept\\\": \\\"application/json\\\"})\\n   297|\\n   298|    def _request_many(self, query: str) -> list[dict[str, object]]:\\n   299|        q = (query or \\\"\\\").strip()\\n   300|        if not q:\\n   301|            return []\\n   302|        endpoints: list[tuple[str, dict[str, str]]] = []\\n   303|        if ISIN_RE.match(q.upper()):\\n   304|            endpoints.append((\\\"search-isin\\\", {\\\"isin\\\": q.upper()}))\\n   305|        if len(q.split()) == 1 and len(q) <= 12:\\n   306|            endpoints.append((\\\"search-symbol\\\", {\\\"query\\\": q.upper()}))\\n   307|            endpoints.append((\\\"search-exchange-variants\\\", {\\\"symbol\\\": q.upper()}))\\n   308|        endpoints.append((\\\"search-name\\\", {\\\"query\\\": q}))\\n   309|        seen: set[tuple[str, str, str]] = set()\\n   310|        rows: list[dict[str, object]] = []\\n   311|        last_error: LookupUnavailable | None = None\\n   312|        for endpoint, params in endpoints:\\n   313|            try:\\n   314|                payload = self._get_stable(endpoint, params)\\n   315|            except LookupUnavailable as exc:\\n   316|                if \\\"endpoint_restricted\\\" not in str(exc):\\n   317|                    last_error = exc\\n   318|                continue\\n   319|            items = payload if isinstance(payload, list) else payload.get(\\\"data\\\", []) if isinstance(payload, dict) else []\\n   320|            for item in items[:10]:\\n   321|                if not isinstance(item, dict):\\n   322|                    continue\\n   323|                symbol = str(item.get(\\\"symbol\\\") or item.get(\\\"ticker\\\") or \\\"\\\").strip().upper()\\n   324|                name = str(item.get(\\\"name\\\") or item.get(\\\"companyName\\\") or item.get(\\\"securityName\\\") or \\\"\\\").strip()\\n   325|                exch = str(item.get(\\\"exchangeShortName\\\") or item.get(\\\"exchange\\\") or item.get(\\\"exchangeCode\\\") or \\\"\\\").strip().upper()\\n   326|                key = (symbol, name.lower(), exch)\\n   327|                if key in seen or not (symbol or name):\\n   328|                    continue\\n   329|                seen.add(key)\\n   330|                item = dict(item)\\n   331|                item[\\\"_fmp_endpoint\\\"] = endpoint\\n   332|                rows.append(item)\\n   333|        if not rows and last_error is not None:\\n   334|            raise last_error\\n   335|        return rows\\n   336|\\n   337|    def _profile(self, symbol: str) -> dict[str, object]:\\n   338|        if not symbol or not self.api_key:\\n   339|            return {}\\n   340|        try:\\n   341|            payload = self._get_stable(\\\"profile\\\", {\\\"symbol\\\": symbol})\\n   342|        except LookupUnavailable:\\n   343|            return {}\\n   344|        if isinstance(payload, list) and payload and isinstance(payload[0], dict):\\n   345|            return payload[0]\\n   346|        if isinstance(payload, dict):\\n   347|            data = payload.get(\\\"data\\\")\\n   348|            if isinstance(data, list) and data and isinstance(data[0], dict):\\n   349|                return data[0]\\n   350|            return payload\\n   351|        return {}\\n   352|\\n   353|    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n   354|        rows = self._request_many(query)\\n   355|        results: list[CatalogSearchResult] = []\\n   356|        for item in rows[:25]:\\n   357|            symbol = str(item.get(\\\"symbol\\\") or item.get(\\\"ticker\\\") or \\\"\\\").strip().upper()\\n   358|            name = str(item.get(\\\"name\\\") or item.get(\\\"companyName\\\") or item.get(\\\"securityName\\\") or symbol or query).strip()\\n   359|            if not symbol and not name:\\n   360|                continue\\n   361|            profile = self._profile(symbol) if symbol else {}\\n   362|            isin = str(item.get(\\\"isin\\\") or profile.get(\\\"isin\\\") or \\\"\\\").strip().upper() or None\\n   363|            exchange = str(item.get(\\\"exchangeShortName\\\") or item.get(\\\"exchange\\\") or item.get(\\\"exchangeCode\\\") or profile.get(\\\"exchangeShortName\\\") or profile.get(\\\"exchange\\\") or \\\"\\\").strip().upper() or None\\n   364|            currency = str(item.get(\\\"currency\\\") or profile.get(\\\"currency\\\") or profile.get(\\\"priceCurrency\\\") or \\\"\\\").strip().upper() or None\\n   365|            is_etf = bool(profile.get(\\\"isEtf\\\")) or \\\"etf\\\" in name.lower() or \\\"fund\\\" in name.lower()\\n   366|            inferred_class = asset_class or (\\\"etf\\\" if is_etf else \\\"stock\\\")\\n   367|            confidence = \\\"medium\\\" if isin or (symbol and exchange) else \\\"low\\\"\\n   368|            raw_price = profile.get(\\\"price\\\") or profile.get(\\\"lastPrice\\\") or profile.get(\\\"mktCapPrice\\\")\\n   369|            last_price = str(raw_price).strip() if raw_price not in {None, \\\"\\\", 0, \\\"0\\\"} else None\\n   370|            results.append(\\n   371|                CatalogSearchResult(\\n   372|                    None,\\n   373|                    inferred_class,\\n   374|                    name,\\n   375|                    isin=isin,\\n   376|                    ticker=symbol.split(\\\".\\\")[0] if symbol else None,\\n   377|                    exchange=exchange,\\n   378|                    trading_currency=currency,\\n   379|                    provider=\\\"fmp\\\",\\n   380|                    provider_symbol=symbol or None,\\n   381|                    provider_market=exchange,\\n   382|                    country=str(profile.get(\\\"country\\\") or item.get(\\\"country\\\") or \\\"\\\").strip().upper() or None,\\n   383|                    confidence=confidence,\\n   384|                    source=\\\"fmp\\\",\\n   385|                    evidence_note=\\\"Financial Modeling Prep stable search/profile result; manual selection required\\\",\\n   386|                    last_price=last_price,\\n   387|                    price_currency=currency,\\n   388|                    price_date=utc_now()[:10] if last_price else None,\\n   389|                    price_source=\\\"fmp profile\\\" if last_price else None,\\n   390|                )\\n   391|            )\\n   392|        return results\\n   393|\\n   394|\\n   395|def default_instrument_lookup_providers() -> list[CatalogLookupProvider]:\\n   396|    return [OpenFigiLookupProvider(), FmpSearchProvider(), FinnhubSymbolLookupProvider()]\\n   397|\\n   398|\\n   399|def _provider_error_category(message: str) -> str:\\n   400|    text = (message or \\\"\\\").lower()\\n   401|    if \\\"api_key_missing\\\" in text or \\\"key_missing\\\" in text:\\n   402|        return \\\"key_missing\\\"\\n   403|    if \\\"auth_failed\\\" in text:\\n   404|        return \\\"auth_failed\\\"\\n   405|    if \\\"rate_limited\\\" in text:\\n   406|        return \\\"rate_limited\\\"\\n   407|    if \\\"network_error\\\" in text:\\n   408|        return \\\"network_error\\\"\\n   409|    if \\\"endpoint_restricted\\\" in text:\\n   410|        return \\\"endpoint_restricted\\\"\\n   411|    if \\\"no_results\\\" in text:\\n   412|        return \\\"no_results\\\"\\n   413|    if \\\"parsing_error\\\" in text:\\n   414|        return \\\"parsing_error\\\"\\n   415|    return \\\"provider_error\\\"\\n   416|\\n   417|\\n   418|def _status_from_category(category: str, *, optional: bool = False) -> str:\\n   419|    if category == \\\"key_missing\\\":\\n   420|        return \\\"optional / API-Key fehlt\\\" if optional else \\\"API-Key fehlt\\\"\\n   421|    if category == \\\"auth_failed\\\":\\n   422|        return \\\"Auth fehlgeschlagen\\\"\\n   423|    if category == \\\"rate_limited\\\":\\n   424|        return \\\"Rate Limit\\\"\\n   425|    if category == \\\"network_error\\\":\\n   426|        return \\\"Netzwerkfehler\\\"\\n   427|    if category == \\\"endpoint_restricted\\\":\\n   428|        return \\\"Endpoint im Tarif nicht verfügbar\\\"\\n   429|    if category == \\\"no_results\\\":\\n   430|        return \\\"Keine Treffer\\\"\\n   431|    if category == \\\"parsing_error\\\":\\n   432|        return \\\"Fehler\\\"\\n   433|    if category == \\\"reachable\\\":\\n   434|        return \\\"erreichbar\\\"\\n   435|    return \\\"Fehler\\\"\\n   436|\\n   437|\\n   438|def _probe_provider_status(provider: CatalogLookupProvider, *, query: str, asset_class: str) -> tuple[str, str]:\\n   439|    try:\\n   440|        rows = provider.search(query=query, asset_class=asset_class)\\n   441|    except LookupUnavailable as exc:\\n   442|        category = _provider_error_category(str(exc))\\n   443|        return _status_from_category(category, optional=getattr(provider, \\\"name\\\", \\\"\\\") == \\\"finnhub\\\"), category\\n   444|    except Exception:\\n   445|        return \\\"Fehler\\\", \\\"provider_error\\\"\\n   446|    if rows:\\n   447|        return \\\"erreichbar\\\", \\\"reachable\\\"\\n   448|    return \\\"Keine Treffer\\\", \\\"no_results\\\"\\n   449|\\n   450|\\n   451|def instrument_provider_statuses(*, probe: bool = False) -> list[dict[str, str]]:\\n   452|    providers = [\\n   453|        (\\\"Lokale Suche\\\", None, \\\"aktiv\\\", \\\"Lokaler Instrument-Katalog ist immer verfügbar.\\\", \\\"\\\", \\\"\\\"),\\n   454|        (\\\"OpenFIGI\\\", OpenFigiLookupProvider, None, \\\"OPENFIGI_API_KEY\\\", \\\"US9229087690\\\", \\\"etf\\\"),\\n   455|        (\\\"FMP\\\", FmpSearchProvider, None, \\\"FMP_API_KEY\\\", \\\"Vanguard Total Stock\\\", \\\"etf\\\"),\\n   456|        (\\\"Finnhub\\\", FinnhubSymbolLookupProvider, None, \\\"FINNHUB_API_KEY; optionaler Fallback\\\", \\\"VTI\\\", \\\"etf\\\"),\\n   457|        (\\\"EODHD\\\", None, None, \\\"EODHD_API_KEY; für MVP nicht priorisiert\\\", \\\"\\\", \\\"\\\"),\\n   458|        (\\\"Manuelle Anlage\\\", None, \\\"aktiv\\\", \\\"Immer verfügbar, auditierbar.\\\", \\\"\\\", \\\"\\\"),\\n   459|    ]\\n   460|    rows: list[dict[str, str]] = []\\n   461|    for label, cls, forced_status, hint, probe_query, probe_asset in providers:\\n   462|        if forced_status:\\n   463|            rows.append({\\\"Provider\\\": label, \\\"Status\\\": forced_status, \\\"Kategorie\\\": \\\"reachable\\\", \\\"Letzter Test\\\": \\\"nicht nötig\\\", \\\"Hinweis\\\": hint})\\n   464|            continue\\n   465|        if label == \\\"EODHD\\\":\\n   466|            has_key = bool(_runtime_secret_value((\\\"EODHD_API_KEY\\\", \\\"JARVIS_EODHD_API_KEY\\\")))\\n   467|            status = \\\"optional / Key geladen\\\" if has_key else \\\"optional / API-Key fehlt\\\"\\n   468|            rows.append({\\\"Provider\\\": label, \\\"Status\\\": status, \\\"Kategorie\\\": \\\"key_loaded\\\" if has_key else \\\"key_missing\\\", \\\"Letzter Test\\\": \\\"nicht ausgeführt\\\", \\\"Hinweis\\\": hint})\\n   469|            continue\\n   470|        assert cls is not None\\n   471|        optional = label == \\\"Finnhub\\\"\\n   472|        try:\\n   473|            provider = cls()\\n   474|            if not getattr(provider, \\\"api_key\\\", None):\\n   475|                category = \\\"key_missing\\\"\\n   476|                status = _status_from_category(category, optional=optional)\\n   477|                last_test = \\\"nicht ausgeführt\\\"\\n   478|            elif probe:\\n   479|                status, category = _probe_provider_status(provider, query=probe_query, asset_class=probe_asset)\\n   480|                last_test = \\\"erfolgreich\\\" if category == \\\"reachable\\\" else \\\"fehlgeschlagen\\\"\\n   481|            else:\\n   482|                category = \\\"key_loaded\\\"\\n   483|                status = \\\"optional / Key geladen\\\" if optional else \\\"Key geladen\\\"\\n   484|                last_test = \\\"nicht ausgeführt\\\"\\n   485|        except Exception:\\n   486|            category = \\\"provider_error\\\"\\n   487|            status = \\\"Fehler\\\"\\n   488|            last_test = \\\"fehlgeschlagen\\\"\\n   489|        rows.append({\\\"Provider\\\": label, \\\"Status\\\": status, \\\"Kategorie\\\": category, \\\"Letzter Test\\\": last_test, \\\"Hinweis\\\": hint})\\n   490|    return rows\\n   491|\\n   492|\\n   493|def _validate_entry(entry: CatalogEntryInput) -> None:\\n   494|    if entry.asset_class.lower() not in ASSET_CLASSES:\\n   495|        raise ValueError(\\\"invalid asset_class\\\")\\n   496|    if not entry.name.strip():\\n   497|        raise ValueError(\\\"name is required\\\")\\n   498|    if entry.source_confidence not in CONFIDENCES:\\n   499|        raise ValueError(\\\"invalid source_confidence\\\")\\n   500|    if entry.hedge_status not in HEDGE_STATUSES:\\n   501|        raise ValueError(\\\"invalid hedge_status\\\")\\n   502|    if entry.instrument_status not in INSTRUMENT_STATUSES:\\n   503|        raise ValueError(\\\"invalid instrument_status\\\")\\n   504|    if entry.valuation_policy not in VALUATION_POLICIES:\\n   505|        raise ValueError(\\\"invalid valuation_policy\\\")\\n   506|\\n   507|\\n   508|def upsert_catalog_entry(conn: Connection, entry: CatalogEntryInput, *, note: str, created_by: str = \\\"system\\\") -> str:\\n   509|    if not note.strip():\\n   510|        raise ValueError(\\\"catalog entry upsert requires a note\\\")\\n   511|    _validate_entry(entry)\\n   512|    isin = (entry.isin or \\\"\\\").strip().upper() or None\\n   513|    ticker = (entry.ticker or \\\"\\\").strip().upper() or None\\n   514|    exchange = (entry.exchange or \\\"\\\").strip().upper() or None\\n   515|    trading_currency = (entry.trading_currency or \\\"\\\").strip().upper() or None\\n   516|    instrument_currency = (entry.instrument_currency or trading_currency or \\\"\\\").strip().upper() or None\\n   517|    provider = (entry.provider or \\\"manual\\\").strip().lower()\\n   518|    provider_symbol = (entry.provider_symbol or \\\"\\\").strip() or None\\n   519|    provider_market = (entry.provider_market or exchange or \\\"\\\").strip().upper() or None\\n   520|    catalog_entry_id = stable_id(\\\"catalog\\\", entry.asset_class.lower(), isin or \\\"\\\", ticker or \\\"\\\", exchange or \\\"\\\", trading_currency or \\\"\\\", provider, provider_symbol or \\\"\\\", entry.name)\\n   521|    now = utc_now()\\n   522|    old = conn.execute(\\\"SELECT * FROM instrument_catalog_entries WHERE catalog_entry_id=?\\\", (catalog_entry_id,)).fetchone()\\n   523|    conn.execute(\\n   524|        \\\"\\\"\\\"\\n   525|        INSERT INTO instrument_catalog_entries(\\n   526|            catalog_entry_id, asset_class, name, normalized_name, isin, ticker, exchange,\\n   527|            trading_currency, instrument_currency, provider, provider_symbol, provider_market,\\n   528|            country, sector, issuer, fund_type, is_currency_hedged, hedged_to_currency,\\n   529|            hedge_status, instrument_status, valuation_policy, source, source_confidence,\\n   530|            last_verified_at, notes, created_at, updated_at\\n   531|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n   532|        ON CONFLICT(catalog_entry_id) DO UPDATE SET\\n   533|            name=excluded.name,\\n   534|            normalized_name=excluded.normalized_name,\\n   535|            provider_symbol=excluded.provider_symbol,\\n   536|            provider_market=excluded.provider_market,\\n   537|            country=excluded.country,\\n   538|            sector=excluded.sector,\\n   539|            issuer=excluded.issuer,\\n   540|            fund_type=excluded.fund_type,\\n   541|            is_currency_hedged=excluded.is_currency_hedged,\\n   542|            hedged_to_currency=excluded.hedged_to_currency,\\n   543|            hedge_status=excluded.hedge_status,\\n   544|            instrument_status=excluded.instrument_status,\\n   545|            valuation_policy=excluded.valuation_policy,\\n   546|            source=excluded.source,\\n   547|            source_confidence=excluded.source_confidence,\\n   548|            last_verified_at=excluded.last_verified_at,\\n   549|            notes=excluded.notes,\\n   550|            updated_at=excluded.updated_at\\n   551|        \\\"\\\"\\\",\\n   552|        (\\n   553|            catalog_entry_id, entry.asset_class.lower(), entry.name.strip(), normalize_name(entry.name), isin, ticker, exchange,\\n   554|            trading_currency, instrument_currency, provider, provider_symbol, provider_market,\\n   555|            entry.country, entry.sector, entry.issuer, entry.fund_type, 1 if entry.is_currency_hedged else 0 if entry.is_currency_hedged is False else None,\\n   556|            (entry.hedged_to_currency or \\\"\\\").strip().upper() or None, entry.hedge_status, entry.instrument_status,\\n   557|            entry.valuation_policy, entry.source, entry.source_confidence, now, entry.notes, now, now,\\n   558|        ),\\n   559|    )\\n   560|    record_audit_event(\\n   561|        conn,\\n   562|        source=\\\"instrument_catalog\\\",\\n   563|        action=\\\"upsert_catalog_entry\\\",\\n   564|        entity_type=\\\"instrument_catalog_entry\\\",\\n   565|        entity_id=catalog_entry_id,\\n   566|        old_values=dict(old) if old else None,\\n   567|        new_values={\\\"asset_class\\\": entry.asset_class.lower(), \\\"isin\\\": isin, \\\"ticker\\\": ticker, \\\"exchange\\\": exchange, \\\"provider\\\": provider, \\\"provider_symbol\\\": provider_symbol},\\n   568|        user_text_note=note,\\n   569|        confirmed=True,\\n   570|        created_by=created_by,\\n   571|    )\\n   572|    conn.commit()\\n   573|    return catalog_entry_id\\n   574|\\n   575|\\n   576|def search_local_catalog(conn: Connection, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n   577|    q = (query or \\\"\\\").strip()\\n   578|    if not q:\\n   579|        return []\\n   580|    clauses = [\\\"(upper(COALESCE(isin,''))=upper(?) OR upper(COALESCE(ticker,''))=upper(?) OR upper(COALESCE(provider_symbol,''))=upper(?) OR normalized_name LIKE ? OR upper(COALESCE(exchange,''))=upper(?) OR upper(COALESCE(trading_currency,''))=upper(?))\\\"]\\n   581|    params: list[object] = [q, q, q, f\\\"%{normalize_name(q)}%\\\", q, q]\\n   582|    if asset_class:\\n   583|        ac = asset_class.lower()\\n   584|        if ac == \\\"equity\\\":\\n   585|            clauses.append(\\\"asset_class IN ('equity','stock')\\\")\\n   586|        else:\\n   587|            clauses.append(\\\"asset_class=?\\\")\\n   588|            params.append(ac)\\n   589|    rows = conn.execute(\\n   590|        \\\"SELECT * FROM instrument_catalog_entries WHERE \\\" + \\\" AND \\\".join(clauses) + \\\" ORDER BY source_confidence, name, exchange, trading_currency LIMIT 50\\\",\\n   591|        tuple(params),\\n   592|    ).fetchall()\\n   593|    return [\\n   594|        CatalogSearchResult(\\n   595|            catalog_entry_id=row[\\\"catalog_entry_id\\\"], asset_class=row[\\\"asset_class\\\"], name=row[\\\"name\\\"], isin=row[\\\"isin\\\"], ticker=row[\\\"ticker\\\"], exchange=row[\\\"exchange\\\"],\\n   596|            trading_currency=row[\\\"trading_currency\\\"], instrument_currency=row[\\\"instrument_currency\\\"], provider=row[\\\"provider\\\"], provider_symbol=row[\\\"provider_symbol\\\"],\\n   597|            provider_market=row[\\\"provider_market\\\"], country=row[\\\"country\\\"], hedge_status=row[\\\"hedge_status\\\"] or \\\"unknown\\\", instrument_status=row[\\\"instrument_status\\\"] or \\\"unknown\\\",\\n   598|            confidence=row[\\\"source_confidence\\\"] or \\\"low\\\", source=\\\"local_catalog\\\", evidence_note=\\\"local catalog match\\\",\\n   599|        )\\n   600|        for row in rows\\n   601|    ]\\n   602|\\n   603|\\n   604|def _candidate_key(item: CatalogSearchResult) -> tuple[str, ...]:\\n   605|    if item.isin:\\n   606|        return (\\\"isin\\\", item.isin.upper(), (item.exchange or \\\"\\\").upper(), (item.trading_currency or item.instrument_currency or \\\"\\\").upper())\\n   607|    if item.ticker:\\n   608|        return (\\\"ticker\\\", item.ticker.upper(), (item.exchange or \\\"\\\").upper(), (item.trading_currency or item.instrument_currency or \\\"\\\").upper())\\n   609|    return (\\\"name\\\", normalize_name(item.name), (item.exchange or \\\"\\\").upper(), (item.trading_currency or item.instrument_currency or \\\"\\\").upper())\\n   610|\\n   611|\\n   612|def _confidence_rank(value: str) -> int:\\n   613|    return {\\\"low\\\": 1, \\\"medium\\\": 2, \\\"high\\\": 3}.get(value, 1)\\n   614|\\n   615|\\n   616|def _merge_search_results(items: list[CatalogSearchResult]) -> list[CatalogSearchResult]:\\n   617|    merged: dict[tuple[str, ...], CatalogSearchResult] = {}\\n   618|    for item in items:\\n   619|        key = _candidate_key(item)\\n   620|        existing = merged.get(key)\\n   621|        if existing is None:\\n   622|            merged[key] = item\\n   623|            continue\\n   624|        providers = sorted({p for p in [existing.provider, item.provider] if p})\\n   625|        sources = sorted({s for s in [existing.source, item.source] if s})\\n   626|        conflict = any(\\n   627|            a and b and str(a).upper() != str(b).upper()\\n   628|            for a, b in [\\n   629|                (existing.ticker, item.ticker),\\n   630|                (existing.exchange, item.exchange),\\n   631|                (existing.trading_currency or existing.instrument_currency, item.trading_currency or item.instrument_currency),\\n   632|            ]\\n   633|        )\\n   634|        if conflict:\\n   635|            existing.confidence = \\\"low\\\"\\n   636|            existing.evidence_note = (existing.evidence_note + \\\"; provider conflict requires manual review\\\").strip(\\\"; \\\")\\n   637|        else:\\n   638|            rank = max(_confidence_rank(existing.confidence), _confidence_rank(item.confidence))\\n   639|            if len(providers) > 1 and rank < 3:\\n   640|                rank += 1\\n   641|            existing.confidence = {1: \\\"low\\\", 2: \\\"medium\\\", 3: \\\"high\\\"}[min(rank, 3)]\\n   642|            existing.evidence_note = (existing.evidence_note + \\\"; corroborated by \\\" + \\\", \\\".join(providers)).strip(\\\"; \\\") if len(providers) > 1 else existing.evidence_note\\n   643|        existing.provider = \\\"+\\\".join(providers) if providers else existing.provider\\n   644|        existing.source = \\\"+\\\".join(sources) if sources else existing.source\\n   645|        existing.provider_symbol = existing.provider_symbol or item.provider_symbol\\n   646|        existing.country = existing.country or item.country\\n   647|        existing.last_price = existing.last_price or item.last_price\\n   648|        existing.price_currency = existing.price_currency or item.price_currency\\n   649|        existing.price_date = existing.price_date or item.price_date\\n   650|        existing.price_source = existing.price_source or item.price_source\\n   651|    return list(merged.values())\\n   652|\\n   653|\\n   654|def search_instruments(conn: Connection, query: str, asset_class: str | None = None, *, providers: list[CatalogLookupProvider] | None = None) -> tuple[list[CatalogSearchResult], list[str]]:\\n   655|    results = search_local_catalog(conn, query, asset_class)\\n   656|    warnings: list[str] = []\\n   657|    for provider in providers or []:\\n   658|        try:\\n   659|            external = provider.search(query=query, asset_class=asset_class)\\n   660|        except LookupUnavailable as exc:\\n   661|            warning = str(exc) or \\\"provider_lookup_unavailable\\\"\\n   662|            if warning == \\\"external instrument lookup is not configured\\\":\\n   663|                warning = \\\"provider_lookup_unavailable\\\"\\n   664|            warnings.append(warning)\\n   665|            create_alert(conn, priority=\\\"info\\\", category=\\\"market_data\\\", entity_type=\\\"instrument_catalog\\\", entity_id=\\\"external_lookup\\\", rule_id=warning, message=\\\"External instrument catalog provider is not configured or unavailable.\\\", evidence={\\\"provider\\\": getattr(provider, \\\"name\\\", \\\"unknown\\\")}, fingerprint=f\\\"catalog_provider_lookup_unavailable:{getattr(provider, 'name', 'unknown')}:{warning}\\\")\\n   666|            continue\\n   667|        except Exception:\\n   668|            warnings.append(\\\"provider_lookup_unavailable\\\")\\n   669|            create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument_catalog\\\", entity_id=\\\"external_lookup\\\", rule_id=\\\"provider_lookup_unavailable\\\", message=\\\"External instrument catalog provider unavailable.\\\", evidence={\\\"provider\\\": getattr(provider, \\\"name\\\", \\\"unknown\\\")}, fingerprint=f\\\"catalog_provider_lookup_unavailable:{getattr(provider, 'name', 'unknown')}\\\")\\n   670|            continue\\n   671|        for item in external:\\n   672|            if item.catalog_entry_id is None:\\n   673|                try:\\n   674|                    catalog_id = upsert_catalog_entry(\\n   675|                        conn,\\n   676|                        CatalogEntryInput(\\n   677|                            asset_class=item.asset_class,\\n   678|                            name=item.name,\\n   679|                            isin=item.isin,\\n   680|                            ticker=item.ticker,\\n   681|                            exchange=item.exchange,\\n   682|                            trading_currency=item.trading_currency,\\n   683|                            instrument_currency=item.instrument_currency or item.trading_currency,\\n   684|                            provider=(item.provider or getattr(provider, \\\"name\\\", \\\"external\\\")).split(\\\"+\\\", 1)[0],\\n   685|                            provider_symbol=item.provider_symbol,\\n   686|                            provider_market=item.provider_market,\\n   687|                            country=item.country,\\n   688|                            source=item.source,\\n   689|                            source_confidence=item.confidence if item.confidence in CONFIDENCES else \\\"low\\\",\\n   690|                            notes=item.evidence_note,\\n   691|                        ),\\n   692|                        note=f\\\"Cache explicit instrument search result from {getattr(provider, 'name', 'external')}\\\",\\n   693|                        created_by=\\\"dashboard_search\\\",\\n   694|                    )\\n   695|                    item.catalog_entry_id = catalog_id\\n   696|                except Exception:\\n   697|                    warnings.append(\\\"provider_result_cache_failed\\\")\\n   698|            results.append(item)\\n   699|    conn.commit()\\n   700|    return _merge_search_results(results), warnings\\n   701|\\n   702|\\n   703|def prepare_catalog_from_instruments(conn: Connection, *, instrument_ids: list[str], source: str = \\\"true_wealth\\\", note: str = \\\"prepare catalog from existing instruments\\\") -> dict[str, int]:\\n   704|    summary = {\\\"instruments_total\\\": 0, \\\"catalog_entries_created\\\": 0, \\\"multiple_listings\\\": 0, \\\"manual_review_required\\\": 0, \\\"hedge_unknown\\\": 0, \\\"instrument_status_unknown\\\": 0, \\\"valuation_ready\\\": 0}\\n   705|    seen_isin: dict[str, set[tuple[str | None, str | None]]] = {}\\n   706|    for instrument_id in instrument_ids:\\n   707|        row = conn.execute(\\\"SELECT * FROM instruments WHERE instrument_id=?\\\", (instrument_id,)).fetchone()\\n   708|        if row is None:\\n   709|            continue\\n   710|        summary[\\\"instruments_total\\\"] += 1\\n   711|        ensure_instrument_metadata_quality(conn, instrument_id=instrument_id)\\n   712|        entry = CatalogEntryInput(\\n   713|            asset_class=\\\"etf\\\" if (row[\\\"asset_class\\\"] or \\\"\\\").lower() == \\\"etf\\\" else \\\"equity\\\",\\n   714|            name=row[\\\"name\\\"], isin=row[\\\"isin\\\"], ticker=row[\\\"ticker\\\"], exchange=row[\\\"exchange\\\"], trading_currency=row[\\\"trading_currency\\\"] or row[\\\"currency\\\"], instrument_currency=row[\\\"currency\\\"],\\n   715|            provider=\\\"manual\\\", provider_symbol=None, provider_market=row[\\\"exchange\\\"], is_currency_hedged=bool(row[\\\"is_currency_hedged\\\"]) if row[\\\"is_currency_hedged\\\"] is not None else None,\\n   716|            hedged_to_currency=row[\\\"hedged_to_currency\\\"], hedge_status=row[\\\"hedge_status\\\"] or \\\"unknown\\\", instrument_status=row[\\\"instrument_status\\\"] or \\\"unknown\\\",\\n   717|            valuation_policy=row[\\\"valuation_policy\\\"] or \\\"live_price\\\", source=source, source_confidence=\\\"medium\\\" if row[\\\"isin\\\"] else \\\"low\\\", notes=\\\"Prepared from existing runtime instrument metadata; no portfolio amounts included.\\\",\\n   718|        )\\n   719|        before = conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries\\\").fetchone()[\\\"c\\\"]\\n   720|        upsert_catalog_entry(conn, entry, note=note)\\n   721|        after = conn.execute(\\\"SELECT COUNT(*) AS c FROM instrument_catalog_entries\\\").fetchone()[\\\"c\\\"]\\n   722|        if after > before:\\n   723|            summary[\\\"catalog_entries_created\\\"] += 1\\n   724|        if row[\\\"isin\\\"]:\\n   725|            seen_isin.setdefault(row[\\\"isin\\\"], set()).add((row[\\\"exchange\\\"], row[\\\"currency\\\"]))\\n   726|        if (row[\\\"hedge_status\\\"] or \\\"unknown\\\") == \\\"unknown\\\":\\n   727|            summary[\\\"hedge_unknown\\\"] += 1\\n   728|        if (row[\\\"instrument_status\\\"] or \\\"unknown\\\") == \\\"unknown\\\":\\n   729|            summary[\\\"instrument_status_unknown\\\"] += 1\\n   730|        if row[\\\"provider_symbol\\\"] and row[\\\"instrument_status\\\"] == \\\"active\\\" and row[\\\"hedge_status\\\"] != \\\"unknown\\\":\\n   731|            summary[\\\"valuation_ready\\\"] += 1\\n   732|        else:\\n   733|            summary[\\\"manual_review_required\\\"] += 1\\n   734|            create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"manual_review_needed\\\", message=\\\"Instrument requires manual catalog/mapping review before valuation readiness.\\\", evidence={\\\"source\\\": source}, fingerprint=\\\"manual_review_needed\\\")\\n   735|    summary[\\\"multiple_listings\\\"] = sum(1 for listings in seen_isin.values() if len(listings) > 1)\\n   736|    conn.commit()\\n   737|    return summary\\n   738|\\n   739|\\n   740|def catalog_entry_to_provider_candidate(conn: Connection, catalog_entry_id: str) -> ProviderCandidate:\\n   741|    row = conn.execute(\\\"SELECT * FROM instrument_catalog_entries WHERE catalog_entry_id=?\\\", (catalog_entry_id,)).fetchone()\\n   742|    if row is None:\\n   743|        raise ValueError(\\\"catalog entry not found\\\")\\n   744|    return ProviderCandidate(\\n   745|        provider=row[\\\"provider\\\"] or \\\"manual\\\",\\n   746|        provider_symbol=row[\\\"provider_symbol\\\"] or row[\\\"ticker\\\"] or \\\"\\\",\\n   747|        exchange=row[\\\"exchange\\\"], currency=row[\\\"trading_currency\\\"], name=row[\\\"name\\\"], isin=row[\\\"isin\\\"],\\n   748|        is_hedged=True if row[\\\"hedge_status\\\"] == \\\"hedged\\\" else False if row[\\\"hedge_status\\\"] == \\\"unhedged\\\" else None,\\n   749|        hedged_to_currency=row[\\\"hedged_to_currency\\\"], instrument_status=row[\\\"instrument_status\\\"] or \\\"unknown\\\", evidence_source=\\\"instrument_catalog\\\", evidence_note=\\\"manual catalog selection\\\",\\n   750|    )\\n   751|\", \"total_lines\": 750, \"file_size\": 39583, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_KkGVP9LGUkdRGYwaFpaCNQKw"
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from dataclasses import dataclass, field\\n     4|from decimal import Decimal, InvalidOperation\\n     5|from sqlite3 import Connection\\n     6|from typing import Protocol\\n     7|from urllib import error, parse, request\\n     8|import json\\n     9|\\n    10|from jarvis_finance.imports.common import stable_id, utc_now\\n    11|from jarvis_finance.market_data.catalog import _runtime_secret_value\\n    12|from jarvis_finance.market_data.instruments import resolve_instrument_alerts, update_instrument_metadata\\n    13|from jarvis_finance.quality.alerts import create_alert\\n    14|\\n    15|\\n    16|@dataclass(frozen=True)\\n    17|class EquityPriceQuote:\\n    18|    provider_symbol: str\\n    19|    currency: str\\n    20|    close: Decimal | None\\n    21|    provider: str = \\\"mock\\\"\\n    22|    provider_market: str | None = None\\n    23|    price_timestamp: str | None = None\\n    24|    adjusted_close: Decimal | None = None\\n    25|    quality_status: str = \\\"fresh\\\"\\n    26|    error_message: str | None = None\\n    27|\\n    28|\\n    29|@dataclass\\n    30|class MarketPriceRefreshResult:\\n    31|    asset_class: str\\n    32|    total_mappings: int = 0\\n    33|    updated_count: int = 0\\n    34|    skipped_count: int = 0\\n    35|    excluded_count: int = 0\\n    36|    cached_count: int = 0\\n    37|    stale_count: int = 0\\n    38|    warning_count: int = 0\\n    39|    error_count: int = 0\\n    40|    dry_run: bool = False\\n    41|    warnings: list[str] = field(default_factory=list)\\n    42|    errors: list[str] = field(default_factory=list)\\n    43|\\n    44|\\n    45|class EquityPriceProvider(Protocol):\\n    46|    name: str\\n    47|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote: ...\\n    48|\\n    49|\\n    50|class MockEquityPriceProvider:\\n    51|    name = \\\"mock\\\"\\n    52|\\n    53|    def __init__(self, prices: dict[str, Decimal | str | None], *, currency: str = \\\"USD\\\", timestamps: dict[str, str] | None = None) -> None:\\n    54|        self.prices = {k: (Decimal(str(v)) if v is not None else None) for k, v in prices.items()}\\n    55|        self.currency = currency.upper()\\n    56|        self.timestamps = timestamps or {}\\n    57|\\n    58|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n    59|        if provider_symbol not in self.prices or self.prices[provider_symbol] is None:\\n    60|            return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=None, quality_status=\\\"missing\\\", error_message=\\\"price missing\\\", provider=self.name)\\n    61|        return EquityPriceQuote(provider_symbol=provider_symbol, currency=self.currency, close=self.prices[provider_symbol], price_timestamp=self.timestamps.get(provider_symbol), provider=self.name)\\n    62|\\n    63|\\n    64|class FmpEquityPriceProvider:\\n    65|    name = \\\"fmp\\\"\\n    66|\\n    67|    def __init__(self, *, api_key: str | None = None, timeout_seconds: float = 8.0) -> None:\\n    68|        self.api_key = api_key or _runtime_secret_value((\\\"FMP_API_KEY\\\", \\\"FINANCIAL_MODELING_PREP_API_KEY\\\", \\\"JARVIS_FMP_API_KEY\\\"))\\n    69|        self.timeout_seconds = timeout_seconds\\n    70|\\n    71|    def _get_json(self, path: str, params: dict[str, str]) -> object:\\n    72|        if not self.api_key:\\n    73|            raise RuntimeError(\\\"fmp_api_key_missing\\\")\\n    74|        path = path if path.startswith(\\\"/\\\") else \\\"/\\\" + path\\n    75|        url = \\\"https://financialmodelingprep.com\\\" + path + \\\"?\\\" + parse.urlencode({**params, \\\"apikey\\\": self.api_key})\\n    76|        req = request.Request(url, headers={\\\"Accept\\\": \\\"application/json\\\"})\\n    77|        try:\\n    78|            with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit user-triggered provider lookup\\n    79|                return json.loads(response.read().decode(\\\"utf-8\\\"))\\n    80|        except error.HTTPError as exc:\\n    81|            if exc.code in {401, 403}:\\n    82|                raise RuntimeError(\\\"fmp_auth_failed\\\") from exc\\n    83|            if exc.code == 429:\\n    84|                raise RuntimeError(\\\"fmp_rate_limited\\\") from exc\\n    85|            raise RuntimeError(\\\"fmp_provider_error\\\") from exc\\n    86|        except error.URLError as exc:\\n    87|            raise RuntimeError(\\\"fmp_network_error\\\") from exc\\n    88|\\n    89|    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\n    90|        symbol = (provider_symbol or \\\"\\\").strip().upper()\\n    91|        if not symbol:\\n    92|            return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=\\\"provider_symbol_missing\\\")\\n    93|        try:\\n    94|            payload = self._get_json(\\\"/stable/profile\\\", {\\\"symbol\\\": symbol})\\n    95|        except RuntimeError as exc:\\n    96|            return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=str(exc))\\n    97|        row = payload[0] if isinstance(payload, list) and payload and isinstance(payload[0], dict) else payload if isinstance(payload, dict) else {}\\n    98|        if isinstance(row.get(\\\"data\\\"), list) and row[\\\"data\\\"] and isinstance(row[\\\"data\\\"][0], dict):\\n    99|            row = row[\\\"data\\\"][0]\\n   100|        price = row.get(\\\"price\\\") or row.get(\\\"lastPrice\\\")\\n   101|        try:\\n   102|            close = Decimal(str(price)) if price not in {None, \\\"\\\"} else None\\n   103|        except (InvalidOperation, ValueError):\\n   104|            close = None\\n   105|        if close is None or close <= 0:\\n   106|            return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=\\\"price_missing\\\")\\n   107|        currency = str(row.get(\\\"currency\\\") or row.get(\\\"priceCurrency\\\") or \\\"\\\").upper()\\n   108|        return EquityPriceQuote(provider_symbol=symbol, currency=currency or \\\"USD\\\", close=close, provider=self.name, price_timestamp=utc_now(), quality_status=\\\"fresh\\\")\\n   109|\\n   110|\\n   111|def _resolve_market_alerts(conn: Connection, *, instrument_id: str) -> int:\\n   112|    return resolve_instrument_alerts(conn, instrument_id=instrument_id, rule_ids=[\\\"missing_market_price\\\", \\\"stale_market_price\\\"])\\n   113|\\n   114|\\n   115|def _previous_price(conn: Connection, *, instrument_id: str, price_date: str, provider: str):\\n   116|    return conn.execute(\\n   117|        \\\"\\\"\\\"\\n   118|        SELECT * FROM market_prices\\n   119|        WHERE instrument_id=? AND provider=? AND price_date<? AND close IS NOT NULL AND close!=''\\n   120|        ORDER BY price_date DESC, created_at DESC LIMIT 1\\n   121|        \\\"\\\"\\\",\\n   122|        (instrument_id, provider, price_date),\\n   123|    ).fetchone()\\n   124|\\n   125|\\n   126|def _corporate_action_status(conn: Connection, *, instrument_id: str, price_date: str, provider: str, close: Decimal | None) -> str:\\n   127|    if close is None or close <= 0:\\n   128|        return \\\"not_checked\\\"\\n   129|    prev = _previous_price(conn, instrument_id=instrument_id, price_date=price_date, provider=provider)\\n   130|    if not prev or not prev[\\\"close\\\"]:\\n   131|        return \\\"not_checked\\\"\\n   132|    old = Decimal(str(prev[\\\"close\\\"]))\\n   133|    if old <= 0:\\n   134|        return \\\"not_checked\\\"\\n   135|    change = abs((close - old) / old)\\n   136|    if change > Decimal(\\\"0.25\\\"):\\n   137|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"corporate_action_suspected\\\", message=\\\"Large local price move detected; corporate action review required before high-confidence valuation.\\\", evidence={\\\"previous_price_date\\\": prev[\\\"price_date\\\"], \\\"price_date\\\": price_date}, fingerprint=\\\"corporate_action_suspected\\\")\\n   138|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=\\\"split_or_corporate_action_review_required\\\", message=\\\"Split/corporate-action review required; no automatic split correction is applied.\\\", evidence={\\\"previous_price_date\\\": prev[\\\"price_date\\\"], \\\"price_date\\\": price_date}, fingerprint=\\\"split_or_corporate_action_review_required\\\")\\n   139|        update_instrument_metadata(conn, instrument_id=instrument_id, corporate_action_status=\\\"suspected\\\", split_or_corporate_action_review_required=True, note=\\\"Automatic C2 heuristic detected >25% local price move; review required.\\\")\\n   140|        return \\\"suspected\\\"\\n   141|    return \\\"none_known\\\"\\n   142|\\n   143|\\n   144|def store_market_price(\\n   145|    conn: Connection,\\n   146|    *,\\n   147|    instrument_id: str,\\n   148|    price_date: str,\\n   149|    close: Decimal | None,\\n   150|    currency: str,\\n   151|    provider: str,\\n   152|    provider_symbol: str | None,\\n   153|    provider_market: str | None = None,\\n   154|    price_timestamp: str | None = None,\\n   155|    adjusted_close: Decimal | None = None,\\n   156|    quality_status: str = \\\"fresh\\\",\\n   157|    error_message: str | None = None,\\n   158|) -> str:\\n   159|    now = utc_now()\\n   160|    corp_status = _corporate_action_status(conn, instrument_id=instrument_id, price_date=price_date, provider=provider, close=close) if quality_status == \\\"fresh\\\" else \\\"not_checked\\\"\\n   161|    market_price_id = stable_id(\\\"marketprice\\\", instrument_id, price_date, provider, provider_symbol or \\\"\\\", now)\\n   162|    conn.execute(\\n   163|        \\\"\\\"\\\"\\n   164|        INSERT INTO market_prices(\\n   165|            market_price_id, instrument_id, price_date, price_timestamp, close, adjusted_close,\\n   166|            currency, provider, provider_symbol, quality_status, created_at, provider_market, error_message,\\n   167|            corporate_action_status\\n   168|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\\n   169|        ON CONFLICT(instrument_id, price_date, provider) DO UPDATE SET\\n   170|            price_timestamp=excluded.price_timestamp,\\n   171|            close=excluded.close,\\n   172|            adjusted_close=excluded.adjusted_close,\\n   173|            currency=excluded.currency,\\n   174|            provider_symbol=excluded.provider_symbol,\\n   175|            quality_status=excluded.quality_status,\\n   176|            created_at=excluded.created_at,\\n   177|            provider_market=excluded.provider_market,\\n   178|            error_message=excluded.error_message,\\n   179|            corporate_action_status=excluded.corporate_action_status\\n   180|        \\\"\\\"\\\",\\n   181|        (market_price_id, instrument_id, price_date, price_timestamp, format(close, \\\"f\\\") if close is not None else \\\"\\\", format(adjusted_close, \\\"f\\\") if adjusted_close is not None else None, currency.upper(), provider, provider_symbol, quality_status, now, provider_market, error_message, corp_status),\\n   182|    )\\n   183|    if quality_status in {\\\"missing\\\", \\\"stale\\\", \\\"error\\\", \\\"conflict\\\"} or close is None:\\n   184|        rule = \\\"stale_market_price\\\" if quality_status == \\\"stale\\\" else \\\"missing_market_price\\\"\\n   185|        create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=instrument_id, rule_id=rule, message=\\\"Instrument local market price is not fresh.\\\", evidence={\\\"provider\\\": provider, \\\"provider_symbol\\\": provider_symbol, \\\"price_date\\\": price_date, \\\"quality_status\\\": quality_status}, fingerprint=f\\\"{rule}:{provider}:{provider_symbol}\\\")\\n   186|    elif quality_status == \\\"fresh\\\":\\n   187|        _resolve_market_alerts(conn, instrument_id=instrument_id)\\n   188|    conn.commit()\\n   189|    return market_price_id\\n   190|\\n   191|\\n   192|def refresh_market_prices(\\n   193|    conn: Connection,\\n   194|    *,\\n   195|    provider: EquityPriceProvider,\\n   196|    asset_class: str,\\n   197|    price_date: str | None = None,\\n   198|    only_missing: bool = False,\\n   199|    only_stale: bool = False,\\n   200|    only_isin: str | None = None,\\n   201|    limit: int | None = None,\\n   202|    dry_run: bool = False,\\n   203|) -> MarketPriceRefreshResult:\\n   204|    asset = asset_class.lower()\\n   205|    result = MarketPriceRefreshResult(asset_class=asset, dry_run=dry_run)\\n   206|    query = \\\"\\\"\\\"\\n   207|        SELECT m.*, i.asset_class, i.isin, i.instrument_status AS current_instrument_status, i.valuation_policy AS current_valuation_policy FROM instrument_price_mappings m\\n   208|        JOIN instruments i ON i.instrument_id=m.instrument_id\\n   209|        WHERE LOWER(i.asset_class)=? AND m.mapping_status='mapped' AND m.provider_symbol IS NOT NULL\\n   210|        ORDER BY i.isin, m.provider_symbol\\n   211|    \\\"\\\"\\\"\\n   212|    mappings = conn.execute(query, (asset,)).fetchall()\\n   213|    if only_isin:\\n   214|        mappings = [m for m in mappings if (m[\\\"isin\\\"] or \\\"\\\").upper() == only_isin.upper()]\\n   215|    if limit is not None:\\n   216|        mappings = mappings[:limit]\\n   217|    result.total_mappings = len(mappings)\\n   218|    effective_date = price_date or utc_now()[:10]\\n   219|    for mapping in mappings:\\n   220|        if mapping[\\\"current_instrument_status\\\"] in {\\\"delisted\\\", \\\"suspended\\\", \\\"merged\\\", \\\"inactive\\\"} or mapping[\\\"current_valuation_policy\\\"] == \\\"exclude_from_auto_price_update\\\":\\n   221|            result.excluded_count += 1\\n   222|            result.skipped_count += 1\\n   223|            if not dry_run:\\n   224|                create_alert(conn, priority=\\\"warnung\\\", category=\\\"market_data\\\", entity_type=\\\"instrument\\\", entity_id=mapping[\\\"instrument_id\\\"], rule_id=\\\"delisted_or_suspended\\\", message=\\\"Instrument excluded from automatic market-price update.\\\", evidence={\\\"instrument_status\\\": mapping[\\\"current_instrument_status\\\"], \\\"valuation_policy\\\": mapping[\\\"current_valuation_policy\\\"]}, fingerprint=f\\\"excluded:{mapping['current_instrument_status']}:{mapping['current_valuation_policy']}\\\")\\n   225|            continue\\n   226|        latest = conn.execute(\\\"SELECT * FROM market_prices WHERE instrument_id=? AND quality_status='fresh' ORDER BY price_date DESC, created_at DESC LIMIT 1\\\", (mapping[\\\"instrument_id\\\"],)).fetchone()\\n   227|        if only_missing and latest:\\n   228|            result.cached_count += 1\\n   229|            continue\\n   230|        if only_stale and latest and latest[\\\"price_date\\\"] >= effective_date:\\n   231|            result.cached_count += 1\\n   232|            continue\\n   233|        quote = provider.get_price(mapping[\\\"provider_symbol\\\"], price_date=effective_date)\\n   234|        status = quote.quality_status\\n   235|        if not dry_run:\\n   236|            store_market_price(conn, instrument_id=mapping[\\\"instrument_id\\\"], price_date=effective_date, close=quote.close, currency=quote.currency or mapping[\\\"currency\\\"], provider=quote.provider or provider.name, provider_symbol=mapping[\\\"provider_symbol\\\"], provider_market=mapping[\\\"provider_market\\\"], price_timestamp=quote.price_timestamp, adjusted_close=quote.adjusted_close, quality_status=status, error_message=quote.error_message)\\n   237|        if quote.close is not None and status == \\\"fresh\\\":\\n   238|            result.updated_count += 1\\n   239|        elif status in {\\\"missing\\\", \\\"stale\\\"}:\\n   240|            result.warning_count += 1\\n   241|            result.warnings.append(mapping[\\\"instrument_id\\\"])\\n   242|            if status == \\\"stale\\\":\\n   243|                result.stale_count += 1\\n   244|            if status == \\\"missing\\\" and not dry_run:\\n   245|                update_instrument_metadata(conn, instrument_id=mapping[\\\"instrument_id\\\"], instrument_status=\\\"suspected_inactive\\\", note=\\\"Provider returned missing price; suspected inactive requires manual review.\\\")\\n   246|        else:\\n   247|            result.error_count += 1\\n   248|            result.errors.append(mapping[\\\"instrument_id\\\"])\\n   249|    if not dry_run:\\n   250|        conn.commit()\\n   251|    return result\\n   252|\", \"total_lines\": 251, \"file_size\": 13927, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_NSb6cDzI9C6jHj36lIZnY9NB"
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|\\n     5|\\n     6|class HistoricalFxUnavailable(RuntimeError):\\n     7|    def __init__(self, message: str, *, status: str = \\\"manual_override_required\\\") -> None:\\n     8|        super().__init__(message)\\n     9|        self.status = status\\n    10|\\n    11|\\n    12|class MockFxProvider:\\n    13|    name = \\\"mock\\\"\\n    14|\\n    15|    def __init__(self, rates: dict[tuple[str, str, str], Decimal | str | None], *, unavailable: set[tuple[str, str, str]] | None = None) -> None:\\n    16|        self.rates = {(a.upper(), b.upper(), d): (Decimal(str(v)) if v is not None else None) for (a, b, d), v in rates.items()}\\n    17|        self.unavailable = {(a.upper(), b.upper(), d) for a, b, d in (unavailable or set())}\\n    18|\\n    19|    def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None:\\n    20|        date = rate_date or \\\"latest\\\"\\n    21|        key = (base_currency.upper(), quote_currency.upper(), date)\\n    22|        if key in self.unavailable:\\n    23|            raise HistoricalFxUnavailable(\\\"historical FX unavailable/paywalled\\\")\\n    24|        return self.rates.get(key)\\n    25|\", \"total_lines\": 24, \"file_size\": 1047, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_Vu9Xi79bjxxFKy4j2SymzkIC"
    },
    {
      "role": "tool",
      "name": "read_file",
      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from dataclasses import dataclass\\n     4|from decimal import Decimal\\n     5|from sqlite3 import Connection\\n     6|from typing import Protocol, Sequence\\n     7|\\n     8|from jarvis_finance.audit.log import record_audit_event\\n     9|from jarvis_finance.imports.common import stable_id, utc_now\\n    10|from jarvis_finance.quality.alerts import create_alert\\n    11|\\n    12|\\n    13|class FxProvider(Protocol):\\n    14|    def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None: ...\\n    15|\\n    16|\\n    17|@dataclass\\n    18|class FxUpdateResult:\\n    19|    updated_count: int = 0\\n    20|    cached_count: int = 0\\n    21|    skipped_count: int = 0\\n    22|    warning_count: int = 0\\n    23|    error_count: int = 0\\n    24|    resolved_alerts: int = 0\\n    25|    dry_run: bool = False\\n    26|\\n    27|\\n    28|@dataclass\\n    29|class FxRecheckResult:\\n    30|    transaction_count: int = 0\\n    31|    chf_positions: int = 0\\n    32|    foreign_currency_positions: int = 0\\n    33|    justified_missing_fx_alerts: int = 0\\n    34|    false_positive_missing_fx_alerts: int = 0\\n    35|    corrected_transactions: int = 0\\n    36|    resolved_alerts: int = 0\\n    37|    audit_events: int = 0\\n    38|    dry_run: bool = False\\n    39|\\n    40|\\n    41|def _resolve_alerts(conn: Connection, *, rule_id: str, entity_ids: Sequence[str] | None = None) -> int:\\n    42|    now = utc_now()\\n    43|    params: list[object] = [rule_id]\\n    44|    where = \\\"rule_id=? AND status='active'\\\"\\n    45|    if entity_ids is not None:\\n    46|        if not entity_ids:\\n    47|            return 0\\n    48|        where += \\\" AND entity_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in entity_ids) + \\\")\\\"\\n    49|        params.extend(entity_ids)\\n    50|    rows = conn.execute(f\\\"SELECT alert_id FROM alerts WHERE {where}\\\", tuple(params)).fetchall()\\n    51|    for row in rows:\\n    52|        conn.execute(\\\"UPDATE alerts SET status='resolved', resolved_at=?, last_seen_at=? WHERE alert_id=?\\\", (now, now, row[\\\"alert_id\\\"]))\\n    53|    return len(rows)\\n    54|\\n    55|\\n    56|def _transaction_instruments_for_currency(conn: Connection, currency: str) -> list[str]:\\n    57|    return [\\n    58|        row[\\\"instrument_id\\\"]\\n    59|        for row in conn.execute(\\n    60|            \\\"\\\"\\\"\\n    61|            SELECT DISTINCT instrument_id FROM transactions\\n    62|            WHERE instrument_id IS NOT NULL AND currency_original=? AND COALESCE(is_voided,0)=0\\n    63|            \\\"\\\"\\\",\\n    64|            (currency.upper(),),\\n    65|        ).fetchall()\\n    66|    ]\\n    67|\\n    68|\\n    69|def _mark_chf_transactions_not_needed(conn: Connection, *, dry_run: bool = False) -> int:\\n    70|    now = utc_now()\\n    71|    rows = conn.execute(\\n    72|        \\\"\\\"\\\"\\n    73|        SELECT transaction_id, fx_rate_to_chf, fx_source, fx_status FROM transactions\\n    74|        WHERE currency_original='CHF'\\n    75|          AND (fx_status IS NULL OR fx_status='missing' OR fx_rate_to_chf IS NULL OR fx_source IS NULL)\\n    76|        \\\"\\\"\\\"\\n    77|    ).fetchall()\\n    78|    if dry_run:\\n    79|        return len(rows)\\n    80|    for row in rows:\\n    81|        conn.execute(\\n    82|            \\\"UPDATE transactions SET fx_rate_to_chf='1', fx_source='not_needed', fx_status='not_needed', updated_at=? WHERE transaction_id=?\\\",\\n    83|            (now, row[\\\"transaction_id\\\"]),\\n    84|        )\\n    85|        record_audit_event(\\n    86|            conn,\\n    87|            source=\\\"fx_recheck\\\",\\n    88|            action=\\\"set_chf_fx_not_needed\\\",\\n    89|            entity_type=\\\"transaction\\\",\\n    90|            entity_id=row[\\\"transaction_id\\\"],\\n    91|            old_values={\\\"fx_rate_to_chf\\\": row[\\\"fx_rate_to_chf\\\"], \\\"fx_source\\\": row[\\\"fx_source\\\"], \\\"fx_status\\\": row[\\\"fx_status\\\"]},\\n    92|            new_values={\\\"fx_rate_to_chf\\\": \\\"1\\\", \\\"fx_source\\\": \\\"not_needed\\\", \\\"fx_status\\\": \\\"not_needed\\\"},\\n    93|            user_text_note=\\\"CHF original currency requires no FX conversion.\\\",\\n    94|        )\\n    95|    if rows:\\n    96|        _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, \\\"CHF\\\"))\\n    97|        conn.commit()\\n    98|    return len(rows)\\n    99|\\n   100|\\n   101|def recheck_transaction_fx_status(conn: Connection, *, source_type: str | None = None, dry_run: bool = False) -> FxRecheckResult:\\n   102|    result = FxRecheckResult(dry_run=dry_run)\\n   103|    params: list[object] = []\\n   104|    where = \\\"COALESCE(is_voided,0)=0 AND transaction_type='initial_position_snapshot'\\\"\\n   105|    if source_type:\\n   106|        where += \\\" AND source_type=?\\\"\\n   107|        params.append(source_type)\\n   108|    rows = conn.execute(\\n   109|        f\\\"\\\"\\\"\\n   110|        SELECT transaction_id, instrument_id, currency_original, fx_status, fx_rate_to_chf, fx_source\\n   111|        FROM transactions\\n   112|        WHERE {where}\\n   113|        \\\"\\\"\\\",\\n   114|        tuple(params),\\n   115|    ).fetchall()\\n   116|    result.transaction_count = len(rows)\\n   117|    chf_ids: list[str] = []\\n   118|    foreign_ids: list[str] = []\\n   119|    false_positive_ids: list[str] = []\\n   120|    justified_ids: list[str] = []\\n   121|    for row in rows:\\n   122|        cur = (row[\\\"currency_original\\\"] or \\\"\\\").upper()\\n   123|        inst = row[\\\"instrument_id\\\"]\\n   124|        if cur == \\\"CHF\\\":\\n   125|            result.chf_positions += 1\\n   126|            if inst:\\n   127|                chf_ids.append(inst)\\n   128|            if row[\\\"fx_status\\\"] == \\\"missing\\\" or row[\\\"fx_rate_to_chf\\\"] in (None, \\\"\\\") or row[\\\"fx_source\\\"] in (None, \\\"\\\"):\\n   129|                result.corrected_transactions += 1\\n   130|                if inst:\\n   131|                    false_positive_ids.append(inst)\\n   132|                if not dry_run:\\n   133|                    conn.execute(\\n   134|                        \\\"UPDATE transactions SET fx_rate_to_chf='1', fx_source='not_needed', fx_status='not_needed', updated_at=? WHERE transaction_id=?\\\",\\n   135|                        (utc_now(), row[\\\"transaction_id\\\"]),\\n   136|                    )\\n   137|                    record_audit_event(\\n   138|                        conn,\\n   139|                        source=\\\"fx_recheck\\\",\\n   140|                        action=\\\"set_chf_fx_not_needed\\\",\\n   141|                        entity_type=\\\"transaction\\\",\\n   142|                        entity_id=row[\\\"transaction_id\\\"],\\n   143|                        old_values={\\\"fx_rate_to_chf\\\": row[\\\"fx_rate_to_chf\\\"], \\\"fx_source\\\": row[\\\"fx_source\\\"], \\\"fx_status\\\": row[\\\"fx_status\\\"]},\\n   144|                        new_values={\\\"fx_rate_to_chf\\\": \\\"1\\\", \\\"fx_source\\\": \\\"not_needed\\\", \\\"fx_status\\\": \\\"not_needed\\\"},\\n   145|                        user_text_note=\\\"CHF initial snapshot requires no FX conversion.\\\",\\n   146|                    )\\n   147|                    result.audit_events += 1\\n   148|        else:\\n   149|            result.foreign_currency_positions += 1\\n   150|            if inst:\\n   151|                foreign_ids.append(inst)\\n   152|            if row[\\\"fx_status\\\"] == \\\"missing\\\" or not latest_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=None):\\n   153|                if inst:\\n   154|                    justified_ids.append(inst)\\n   155|    if false_positive_ids:\\n   156|        result.false_positive_missing_fx_alerts = len(conn.execute(\\n   157|            \\\"SELECT alert_id FROM alerts WHERE status='active' AND rule_id='missing_fx' AND entity_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in false_positive_ids) + \\\")\\\",\\n   158|            tuple(false_positive_ids),\\n   159|        ).fetchall())\\n   160|        if not dry_run:\\n   161|            result.resolved_alerts += _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=false_positive_ids)\\n   162|    if justified_ids:\\n   163|        result.justified_missing_fx_alerts = len(conn.execute(\\n   164|            \\\"SELECT alert_id FROM alerts WHERE status='active' AND rule_id='missing_fx' AND entity_id IN (\\\" + \\\",\\\".join(\\\"?\\\" for _ in justified_ids) + \\\")\\\",\\n   165|            tuple(justified_ids),\\n   166|        ).fetchall())\\n   167|    if not dry_run:\\n   168|        conn.commit()\\n   169|    return result\\n   170|\\n   171|\\n   172|def upsert_fx_rate(\\n   173|    conn: Connection,\\n   174|    *,\\n   175|    base_currency: str,\\n   176|    quote_currency: str,\\n   177|    rate_date: str,\\n   178|    rate: Decimal,\\n   179|    provider: str,\\n   180|    rate_type: str,\\n   181|    quality_status: str = \\\"fresh\\\",\\n   182|) -> str:\\n   183|    base = base_currency.upper()\\n   184|    quote = quote_currency.upper()\\n   185|    fx_rate_id = stable_id(\\\"fx\\\", base, quote, rate_date, provider, rate_type)\\n   186|    conn.execute(\\n   187|        \\\"\\\"\\\"\\n   188|        INSERT INTO fx_rates(\\n   189|            fx_rate_id, base_currency, quote_currency, rate_date, rate, provider,\\n   190|            rate_type, quality_status, created_at\\n   191|        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\\n   192|        ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\\n   193|        DO UPDATE SET rate=excluded.rate, quality_status=excluded.quality_status\\n   194|        \\\"\\\"\\\",\\n   195|        (fx_rate_id, base, quote, rate_date, format(rate, \\\"f\\\"), provider, rate_type, quality_status, utc_now()),\\n   196|    )\\n   197|    return fx_rate_id\\n   198|\\n   199|\\n   200|def upsert_fx_unavailable(\\n   201|    conn: Connection,\\n   202|    *,\\n   203|    base_currency: str,\\n   204|    quote_currency: str,\\n   205|    rate_date: str,\\n   206|    provider: str,\\n   207|    error_status: str = \\\"manual_override_required\\\",\\n   208|    error_message: str | None = None,\\n   209|) -> str:\\n   210|    base = base_currency.upper(); quote = quote_currency.upper()\\n   211|    fx_rate_id = stable_id(\\\"fxerr\\\", base, quote, rate_date, provider, error_status)\\n   212|    conn.execute(\\n   213|        \\\"\\\"\\\"\\n   214|        INSERT INTO fx_rates(fx_rate_id, base_currency, quote_currency, rate_date, rate, provider, rate_type, quality_status, created_at, error_status, error_message)\\n   215|        VALUES (?, ?, ?, ?, '', ?, 'close', ?, ?, ?, ?)\\n   216|        ON CONFLICT(base_currency, quote_currency, rate_date, provider, rate_type)\\n   217|        DO UPDATE SET quality_status=excluded.quality_status, error_status=excluded.error_status, error_message=excluded.error_message\\n   218|        \\\"\\\"\\\",\\n   219|        (fx_rate_id, base, quote, rate_date, provider, error_status, utc_now(), error_status, error_message),\\n   220|    )\\n   221|    return fx_rate_id\\n   222|\\n   223|\\n   224|def latest_fx_rate(conn: Connection, *, base_currency: str, quote_currency: str = \\\"CHF\\\", rate_date: str | None = None):\\n   225|    base = base_currency.upper(); quote = quote_currency.upper()\\n   226|    if base == quote:\\n   227|        return None\\n   228|    if rate_date:\\n   229|        return conn.execute(\\n   230|            \\\"\\\"\\\"\\n   231|            SELECT * FROM fx_rates WHERE base_currency=? AND quote_currency=? AND rate_date<=? AND quality_status IN ('fresh','ok','manual')\\n   232|            ORDER BY rate_date DESC, created_at DESC LIMIT 1\\n   233|            \\\"\\\"\\\",\\n   234|            (base, quote, rate_date),\\n   235|        ).fetchone()\\n   236|    return conn.execute(\\n   237|        \\\"\\\"\\\"\\n   238|        SELECT * FROM fx_rates WHERE base_currency=? AND quote_currency=? AND quality_status IN ('fresh','ok','manual')\\n   239|        ORDER BY rate_date DESC, created_at DESC LIMIT 1\\n   240|        \\\"\\\"\\\",\\n   241|        (base, quote),\\n   242|    ).fetchone()\\n   243|\\n   244|\\n   245|def get_fx_rate_to_chf(conn: Connection, *, base_currency: str, rate_date: str | None = None, resolve_fixed: bool = False) -> Decimal | None:\\n   246|    base = base_currency.upper()\\n   247|    if base == \\\"CHF\\\":\\n   248|        _mark_chf_transactions_not_needed(conn)\\n   249|        return Decimal(\\\"1\\\")\\n   250|    row = latest_fx_rate(conn, base_currency=base, quote_currency=\\\"CHF\\\", rate_date=rate_date)\\n   251|    if row is None:\\n   252|        return None\\n   253|    if resolve_fixed:\\n   254|        _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, base))\\n   255|        conn.commit()\\n   256|    return Decimal(str(row[\\\"rate\\\"]))\\n   257|\\n   258|\\n   259|def update_fx_rates(\\n   260|    conn: Connection,\\n   261|\", \"total_lines\": 305, \"file_size\": 13457, \"truncated\": true, \"hint\": \"Use offset=261 to continue reading (showing 1-260 of 305 lines)\", \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"content\": \"   259|def update_fx_rates(\\n   260|    conn: Connection,\\n   261|    *,\\n   262|    provider: FxProvider,\\n   263|    currencies: Sequence[str],\\n   264|    rate_date: str,\\n   265|    latest: bool = False,\\n   266|    missing_only: bool = False,\\n   267|    dry_run: bool = False,\\n   268|    resolve_fixed: bool = True,\\n   269|) -> FxUpdateResult:\\n   270|    result = FxUpdateResult(dry_run=dry_run)\\n   271|    for cur in dict.fromkeys(c.upper() for c in currencies):\\n   272|        if cur == \\\"CHF\\\":\\n   273|            if not dry_run:\\n   274|                _mark_chf_transactions_not_needed(conn)\\n   275|            result.cached_count += 1\\n   276|            continue\\n   277|        if missing_only and latest_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=rate_date):\\n   278|            result.cached_count += 1\\n   279|            continue\\n   280|        try:\\n   281|            rate = provider.get_rate(cur, \\\"CHF\\\", None if latest else rate_date)\\n   282|        except Exception as exc:\\n   283|            status = getattr(exc, \\\"status\\\", \\\"manual_override_required\\\")\\n   284|            if status in {\\\"manual_override_required\\\", \\\"paywall\\\", \\\"rate_limited\\\", \\\"forbidden\\\"}:\\n   285|                result.warning_count += 1\\n   286|                if not dry_run:\\n   287|                    upsert_fx_unavailable(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=rate_date, provider=getattr(provider, \\\"name\\\", \\\"unknown\\\"), error_status=\\\"manual_override_required\\\", error_message=str(exc))\\n   288|                    for inst_id in _transaction_instruments_for_currency(conn, cur):\\n   289|                        create_alert(conn, priority=\\\"kritisch\\\", category=\\\"fx\\\", entity_type=\\\"instrument\\\", entity_id=inst_id, rule_id=\\\"historical_fx_unavailable\\\", message=\\\"Historical FX is unavailable from provider; manual override is required.\\\", evidence={\\\"base_currency\\\": cur, \\\"quote_currency\\\": \\\"CHF\\\", \\\"rate_date\\\": rate_date}, fingerprint=f\\\"historical_fx_unavailable:{cur}:CHF:{rate_date}\\\")\\n   290|                        create_alert(conn, priority=\\\"kritisch\\\", category=\\\"fx\\\", entity_type=\\\"instrument\\\", entity_id=inst_id, rule_id=\\\"manual_override_required\\\", message=\\\"Manual FX override is required; no latest FX fallback is used.\\\", evidence={\\\"base_currency\\\": cur, \\\"quote_currency\\\": \\\"CHF\\\", \\\"rate_date\\\": rate_date}, fingerprint=f\\\"manual_fx_required:{cur}:CHF:{rate_date}\\\")\\n   291|                continue\\n   292|            result.error_count += 1\\n   293|            continue\\n   294|        if rate is None:\\n   295|            result.warning_count += 1\\n   296|            create_alert(conn, priority=\\\"kritisch\\\", category=\\\"fx\\\", entity_type=\\\"currency_pair\\\", entity_id=f\\\"{cur}/CHF\\\", rule_id=\\\"missing_fx\\\", message=\\\"FX rate to CHF is missing.\\\", evidence={\\\"base_currency\\\": cur, \\\"quote_currency\\\": \\\"CHF\\\", \\\"rate_date\\\": rate_date}, fingerprint=f\\\"missing_fx_rate:{cur}:CHF:{rate_date}\\\")\\n   297|            continue\\n   298|        if not dry_run:\\n   299|            upsert_fx_rate(conn, base_currency=cur, quote_currency=\\\"CHF\\\", rate_date=rate_date, rate=rate, provider=getattr(provider, \\\"name\\\", \\\"mock\\\"), rate_type=\\\"latest\\\" if latest else \\\"close\\\", quality_status=\\\"fresh\\\")\\n   300|            if resolve_fixed:\\n   301|                result.resolved_alerts += _resolve_alerts(conn, rule_id=\\\"missing_fx\\\", entity_ids=_transaction_instruments_for_currency(conn, cur))\\n   302|        result.updated_count += 1\\n   303|    if not dry_run:\\n   304|        conn.commit()\\n   305|    return result\\n   306|\", \"total_lines\": 305, \"file_size\": 13457, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|import argparse\\n     4|from decimal import Decimal\\n     5|from pathlib import Path\\n     6|\\n     7|from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\n     8|from jarvis_finance.fx.providers import MockFxProvider\\n     9|from jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates\\n    10|from jarvis_finance.imports.instrument_candidates import qwen_resolve_staged_candidates, stage_docx_candidates\\n    11|from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\n    12|from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_decision_pack, export_mapping_review_template, generate_mapping_candidates, recalculate_candidate_rankings\\n    13|from jarvis_finance.market_data.catalog import prepare_catalog_from_instruments\\n    14|from jarvis_finance.market_data.prices import FmpEquityPriceProvider, MockEquityPriceProvider, refresh_market_prices\\n    15|from jarvis_finance.quality.data_quality import check_crypto_data_quality\\n    16|from jarvis_finance.quality.git_safety import assert_safe, scan_path\\n    17|from jarvis_finance.runtime.backup import backup_runtime_db, restore_runtime_db, verify_backup\\n    18|from jarvis_finance.storage.database import connect\\n    19|from jarvis_finance.storage.migrations import apply_migrations, get_schema_version\\n    20|\\n    21|\\n    22|def main(argv: list[str] | None = None) -> int:\\n    23|    parser = argparse.ArgumentParser(prog=\\\"finance\\\")\\n    24|    sub = parser.add_subparsers(dest=\\\"command\\\", required=True)\\n    25|    sub.add_parser(\\\"init-db\\\")\\n    26|    sub.add_parser(\\\"migrate\\\")\\n    27|    scan = sub.add_parser(\\\"git-safety-scan\\\")\\n    28|    scan.add_argument(\\\"path\\\", nargs=\\\"?\\\", default=\\\".\\\")\\n    29|    prices = sub.add_parser(\\\"update-crypto-prices\\\")\\n    30|    prices.add_argument(\\\"--currency\\\", default=\\\"CHF\\\")\\n    31|    prices.add_argument(\\\"--max-age-seconds\\\", type=int, default=3600)\\n    32|    prices.add_argument(\\\"--sleep-seconds\\\", type=float, default=0.0)\\n    33|    prices.add_argument(\\\"--max-retries\\\", type=int, default=2)\\n    34|    prices.add_argument(\\\"--initial-backoff\\\", type=float, default=1.0)\\n    35|    prices.add_argument(\\\"--max-backoff\\\", type=float, default=8.0)\\n    36|    prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n    37|    prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n    38|    prices.add_argument(\\\"--only-symbol\\\")\\n    39|    prices.add_argument(\\\"--limit\\\", type=int)\\n    40|    prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    41|    dq = sub.add_parser(\\\"check-data-quality\\\")\\n    42|    dq.add_argument(\\\"--scope\\\", choices=[\\\"crypto\\\"], default=\\\"crypto\\\")\\n    43|    dq.add_argument(\\\"--resolve-fixed\\\", action=\\\"store_true\\\")\\n    44|    dq.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    45|    dq.add_argument(\\\"--currency\\\", default=\\\"CHF\\\")\\n    46|    dq.add_argument(\\\"--max-age-seconds\\\", type=int, default=86_400)\\n    47|    fx = sub.add_parser(\\\"update-fx-rates\\\")\\n    48|    fx.add_argument(\\\"--date\\\", dest=\\\"rate_date\\\")\\n    49|    fx.add_argument(\\\"--latest\\\", action=\\\"store_true\\\")\\n    50|    fx.add_argument(\\\"--missing-only\\\", action=\\\"store_true\\\")\\n    51|    fx.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    52|    fx.add_argument(\\\"--currency\\\", action=\\\"append\\\", dest=\\\"currencies\\\")\\n    53|    fx.add_argument(\\\"--mock-rate\\\", action=\\\"append\\\", default=[], help=\\\"Test-only BASE=RATE, e.g. USD=0.9\\\")\\n    54|    fx.add_argument(\\\"--recheck-transactions\\\", action=\\\"store_true\\\")\\n    55|    fx.add_argument(\\\"--source-type\\\")\\n    56|    market_prices = sub.add_parser(\\\"update-market-prices\\\")\\n    57|    market_prices.add_argument(\\\"--asset-class\\\", choices=[\\\"etf\\\", \\\"equity\\\", \\\"stock\\\"], required=True)\\n    58|    market_prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n    59|    market_prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n    60|    market_prices.add_argument(\\\"--only-isin\\\")\\n    61|    market_prices.add_argument(\\\"--limit\\\", type=int)\\n    62|    market_prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    63|    market_prices.add_argument(\\\"--date\\\", dest=\\\"price_date\\\")\\n    64|    market_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\\n    65|    equity_prices = sub.add_parser(\\\"update-equity-prices\\\")\\n    66|    equity_prices.add_argument(\\\"--asset-class\\\", choices=[\\\"etf\\\", \\\"equity\\\", \\\"stock\\\", \\\"all\\\"], default=\\\"all\\\")\\n    67|    equity_prices.add_argument(\\\"--only-missing\\\", action=\\\"store_true\\\")\\n    68|    equity_prices.add_argument(\\\"--only-stale\\\", action=\\\"store_true\\\")\\n    69|    equity_prices.add_argument(\\\"--only-isin\\\")\\n    70|    equity_prices.add_argument(\\\"--limit\\\", type=int)\\n    71|    equity_prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    72|    equity_prices.add_argument(\\\"--date\\\", dest=\\\"price_date\\\")\\n    73|    equity_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\\n    74|    catalog = sub.add_parser(\\\"prepare-instrument-catalog\\\")\\n    75|    catalog.add_argument(\\\"--source\\\", default=\\\"true_wealth\\\")\\n    76|    catalog.add_argument(\\\"--limit\\\", type=int)\\n    77|    candidates = sub.add_parser(\\\"generate-mapping-candidates\\\")\\n    78|    candidates.add_argument(\\\"--source\\\", default=\\\"true_wealth\\\")\\n    79|    candidates.add_argument(\\\"--limit\\\", type=int)\\n    80|    candidates.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    81|    candidates.add_argument(\\\"--public-lookup\\\", action=\\\"store_true\\\")\\n    82|    candidates.add_argument(\\\"--export-template\\\", action=\\\"store_true\\\")\\n    83|    candidates.add_argument(\\\"--template-path\\\")\\n    84|    candidates.add_argument(\\\"--dedupe-missing-provider-alerts\\\", action=\\\"store_true\\\")\\n    85|    rank_candidates = sub.add_parser(\\\"rank-mapping-candidates\\\")\\n    86|    rank_candidates.add_argument(\\\"--export-decision-pack\\\", action=\\\"store_true\\\")\\n    87|    rank_candidates.add_argument(\\\"--decision-pack-path\\\")\\n    88|    rank_candidates.add_argument(\\\"--top-n\\\", type=int, default=5)\\n    89|    q = sub.add_parser(\\\"stage-instrument-candidates\\\")\\n    90|    q.add_argument(\\\"files\\\", nargs=\\\"+\\\", help=\\\"Broker DOCX files outside git repo\\\")\\n    91|    q.add_argument(\\\"--qwen\\\", action=\\\"store_true\\\")\\n    92|    q.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    93|    q.add_argument(\\\"--allow-repo-files\\\", action=\\\"store_true\\\")\\n    94|    qr = sub.add_parser(\\\"qwen-resolve-instrument-candidates\\\")\\n    95|    qr.add_argument(\\\"--endpoint\\\", default=\\\"http://100.101.173.25:11435/v1\\\")\\n    96|    qr.add_argument(\\\"--model\\\", default=\\\"qwen-3.6-agent\\\")\\n    97|    qr.add_argument(\\\"--limit\\\", type=int)\\n    98|    qr.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n    99|    qr.add_argument(\\\"--timeout\\\", type=int, default=45)\\n   100|    sub.add_parser(\\\"backup-runtime-db\\\")\\n   101|    restore = sub.add_parser(\\\"restore-runtime-db\\\")\\n   102|    restore.add_argument(\\\"--from\\\", dest=\\\"backup_file\\\", required=True)\\n   103|    restore.add_argument(\\\"--yes\\\", action=\\\"store_true\\\")\\n   104|    verify = sub.add_parser(\\\"verify-backup\\\")\\n   105|    verify.add_argument(\\\"--file\\\", required=True)\\n   106|    args = parser.parse_args(argv)\\n   107|\\n   108|    if args.command in {\\\"init-db\\\", \\\"migrate\\\"}:\\n   109|        settings = load_settings()\\n   110|        ensure_runtime_dirs(settings)\\n   111|        conn = connect(settings.db_path)\\n   112|        apply_migrations(conn)\\n   113|        print(f\\\"SCHEMA_VERSION={get_schema_version(conn)}\\\")\\n   114|        return 0\\n   115|    if args.command == \\\"git-safety-scan\\\":\\n   116|        findings = scan_path(Path(args.path))\\n   117|        if findings:\\n   118|            for finding in findings:\\n   119|                print(f\\\"{finding.path}: {finding.reason}\\\")\\n   120|            return 1\\n   121|        assert_safe(Path(args.path))\\n   122|        print(\\\"GIT_SAFETY_OK\\\")\\n   123|        return 0\\n   124|    if args.command == \\\"update-crypto-prices\\\":\\n   125|        settings = load_settings()\\n   126|        ensure_runtime_dirs(settings)\\n   127|        conn = connect(settings.db_path)\\n   128|        try:\\n   129|            apply_migrations(conn)\\n   130|            result = refresh_crypto_prices(\\n   131|                conn,\\n   132|                provider=CoinGeckoClient(\\n   133|                    max_retries=args.max_retries,\\n   134|                    initial_backoff_seconds=args.initial_backoff,\\n   135|                    max_backoff_seconds=args.max_backoff,\\n   136|                ),\\n   137|                currency=args.currency,\\n   138|                max_age_seconds=args.max_age_seconds,\\n   139|                only_missing=args.only_missing,\\n   140|                only_stale=args.only_stale,\\n   141|                only_symbol=args.only_symbol,\\n   142|                limit=args.limit,\\n   143|                dry_run=args.dry_run,\\n   144|                sleep_seconds=args.sleep_seconds,\\n   145|            )\\n   146|            print(\\n   147|                \\\"CRYPTO_PRICE_UPDATE \\\"\\n   148|                f\\\"currency={result.currency} total_assets={result.total_assets} \\\"\\n   149|                f\\\"updated={result.updated_count} cached={result.cached_count} \\\"\\n   150|                f\\\"skipped={result.skipped_count} stale={result.stale_count} \\\"\\n   151|                f\\\"warnings={result.warning_count} errors={result.error_count} \\\"\\n   152|                f\\\"assets_still_missing_local_price={result.missing_local_price_count} \\\"\\n   153|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   154|            )\\n   155|            return 1 if result.error_count else 0\\n   156|        finally:\\n   157|            conn.close()\\n   158|    if args.command == \\\"update-fx-rates\\\":\\n   159|        settings = load_settings()\\n   160|        ensure_runtime_dirs(settings)\\n   161|        conn = connect(settings.db_path)\\n   162|        try:\\n   163|            apply_migrations(conn)\\n   164|            if args.recheck_transactions:\\n   165|                result = recheck_transaction_fx_status(conn, source_type=args.source_type, dry_run=args.dry_run)\\n   166|                print(\\n   167|                    \\\"FX_RECHECK \\\"\\n   168|                    f\\\"transactions={result.transaction_count} chf_positions={result.chf_positions} \\\"\\n   169|                    f\\\"foreign_currency_positions={result.foreign_currency_positions} \\\"\\n   170|                    f\\\"justified_missing_fx_alerts={result.justified_missing_fx_alerts} \\\"\\n   171|                    f\\\"false_positive_missing_fx_alerts={result.false_positive_missing_fx_alerts} \\\"\\n   172|                    f\\\"corrected_transactions={result.corrected_transactions} resolved_alerts={result.resolved_alerts} \\\"\\n   173|                    f\\\"audit_events={result.audit_events} dry_run={str(result.dry_run).lower()}\\\"\\n   174|                )\\n   175|                return 0\\n   176|            if not args.rate_date and not args.latest:\\n   177|                parser.error(\\\"update-fx-rates requires --date or --latest unless --recheck-transactions is used\\\")\\n   178|            mock_rates: dict[tuple[str, str, str], Decimal | None] = {}\\n   179|            for item in args.mock_rate:\\n   180|                base, rate = item.split(\\\"=\\\", 1)\\n   181|                mock_rates[(base.upper(), \\\"CHF\\\", args.rate_date or \\\"latest\\\")] = Decimal(rate)\\n   182|            currencies = args.currencies or sorted({r[\\\"currency_original\\\"] for r in conn.execute(\\\"SELECT DISTINCT currency_original FROM transactions WHERE currency_original IS NOT NULL\\\").fetchall()})\\n   183|            provider = MockFxProvider(mock_rates)\\n   184|            result = update_fx_rates(conn, provider=provider, currencies=currencies, rate_date=args.rate_date or \\\"latest\\\", latest=args.latest, missing_only=args.missing_only, dry_run=args.dry_run)\\n   185|            print(\\n   186|                \\\"FX_RATE_UPDATE \\\"\\n   187|                f\\\"updated={result.updated_count} cached={result.cached_count} skipped={result.skipped_count} \\\"\\n   188|                f\\\"warnings={result.warning_count} errors={result.error_count} resolved_alerts={result.resolved_alerts} \\\"\\n   189|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   190|            )\\n   191|            return 1 if result.error_count else 0\\n   192|        finally:\\n   193|            conn.close()\\n   194|    if args.command in {\\\"update-market-prices\\\", \\\"update-equity-prices\\\"}:\\n   195|        settings = load_settings()\\n   196|        ensure_runtime_dirs(settings)\\n   197|        conn = connect(settings.db_path)\\n   198|        try:\\n   199|            apply_migrations(conn)\\n   200|            prices = {}\\n   201|            for item in args.mock_price:\\n   202|                symbol, price = item.split(\\\"=\\\", 1)\\n   203|                prices[symbol.upper()] = Decimal(price)\\n   204|            provider = MockEquityPriceProvider(prices) if prices or args.command == \\\"update-market-prices\\\" else FmpEquityPriceProvider()\\n   205|            asset_classes = [\\\"stock\\\", \\\"etf\\\"] if args.command == \\\"update-equity-prices\\\" and args.asset_class == \\\"all\\\" else [\\\"stock\\\" if args.asset_class == \\\"equity\\\" else args.asset_class]\\n   206|            totals = []\\n   207|            exit_code = 0\\n   208|            for asset_class in asset_classes:\\n   209|                result = refresh_market_prices(\\n   210|                    conn,\\n   211|                    provider=provider,\\n   212|                    asset_class=asset_class,\\n   213|                    price_date=args.price_date,\\n   214|                    only_missing=args.only_missing,\\n   215|                    only_stale=args.only_stale,\\n   216|                    only_isin=args.only_isin,\\n   217|                    limit=args.limit,\\n   218|                    dry_run=args.dry_run,\\n   219|                )\\n   220|                totals.append(result)\\n   221|                exit_code = max(exit_code, 1 if result.error_count else 0)\\n   222|                print(\\n   223|                    (\\\"EQUITY_PRICE_UPDATE \\\" if args.command == \\\"update-equity-prices\\\" else \\\"MARKET_PRICE_UPDATE \\\")\\n   224|                    + f\\\"asset_class={result.asset_class} total_mappings={result.total_mappings} updated={result.updated_count} \\\"\\n   225|                    f\\\"cached={result.cached_count} skipped={result.skipped_count} stale={result.stale_count} \\\"\\n   226|                    f\\\"warnings={result.warning_count} errors={result.error_count} dry_run={str(result.dry_run).lower()}\\\"\\n   227|                )\\n   228|            return exit_code\\n   229|        finally:\\n   230|            conn.close()\\n   231|    if args.command == \\\"prepare-instrument-catalog\\\":\\n   232|        settings = load_settings()\\n   233|        ensure_runtime_dirs(settings)\\n   234|        conn = connect(settings.db_path)\\n   235|        try:\\n   236|            apply_migrations(conn)\\n   237|            rows = conn.execute(\\n   238|                \\\"\\\"\\\"\\n   239|                SELECT DISTINCT t.instrument_id\\n   240|                FROM transactions t JOIN instruments i ON i.instrument_id=t.instrument_id\\n   241|                WHERE t.transaction_type='initial_position_snapshot'\\n   242|                  AND t.source_type='broker_import_reviewed_snapshot'\\n   243|                  AND COALESCE(t.is_voided,0)=0\\n   244|                  AND t.instrument_id IS NOT NULL\\n   245|                ORDER BY i.isin, i.name\\n   246|                \\\"\\\"\\\"\\n   247|            ).fetchall()\\n   248|            ids = [r[\\\"instrument_id\\\"] for r in rows]\\n   249|            if args.limit is not None:\\n   250|                ids = ids[:args.limit]\\n   251|            summary = prepare_catalog_from_instruments(conn, instrument_ids=ids, source=args.source)\\n   252|            print(\\n   253|                \\\"INSTRUMENT_CATALOG_PREP \\\"\\n   254|                f\\\"instruments_total={summary['instruments_total']} catalog_entries_created={summary['catalog_entries_created']} \\\"\\n   255|                f\\\"multiple_listings={summary['multiple_listings']} manual_review_required={summary['manual_review_required']} \\\"\\n   256|                f\\\"hedge_unknown={summary['hedge_unknown']} instrument_status_unknown={summary['instrument_status_unknown']} \\\"\\n   257|                f\\\"valuation_ready={summary['valuation_ready']}\\\"\\n   258|            )\\n   259|            return 0\\n   260|        finally:\\n   261|            conn.close()\\n   262|    if args.command == \\\"generate-mapping-candidates\\\":\\n   263|        settings = load_settings()\\n   264|        ensure_runtime_dirs(settings)\\n   265|        conn = connect(settings.db_path)\\n   266|        try:\\n   267|            apply_migrations(conn)\\n   268|            if args.dedupe_missing_provider_alerts:\\n   269|                resolved = dedupe_missing_provider_symbol_alerts(conn)\\n   270|            else:\\n   271|                resolved = 0\\n   272|            provider = CompositePublicLookupProvider() if args.public_lookup else EmptyLookupProvider()\\n   273|            result = generate_mapping_candidates(conn, provider=provider, source=args.source, limit=args.limit, dry_run=args.dry_run)\\n   274|            template = None\\n   275|            if args.export_template:\\n   276|                template_path = args.template_path or str(settings.runtime_paths.exports_dir / \\\"true_wealth_mapping_review_template.csv\\\")\\n   277|                template = export_mapping_review_template(conn, output_path=template_path)\\n   278|            print(\\n   279|                \\\"MAPPING_CANDIDATES \\\"\\n   280|                f\\\"instruments_total={result.instruments_total} candidates_found={result.candidates_found} \\\"\\n   281|                f\\\"high={result.high_confidence} medium={result.medium_confidence} low={result.low_confidence} \\\"\\n   282|                f\\\"instruments_without_candidate={result.instruments_without_candidate} \\\"\\n   283|                f\\\"hedge_unknown={result.instruments_with_hedge_unknown} instrument_status_unknown={result.instruments_with_status_unknown} \\\"\\n   284|                f\\\"provider_lookup_unavailable={result.provider_lookup_unavailable} ambiguous={result.ambiguous_provider_mapping} \\\"\\n   285|                f\\\"deduped_missing_provider_alerts={resolved} \\\"\\n   286|                f\\\"template_updated={str(bool(template)).lower()} template_instruments={template['instrument_count'] if template else 0} template_candidates={template['candidate_rows'] if template else 0} \\\"\\n   287|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   288|            )\\n   289|            return 0\\n   290|        finally:\\n   291|            conn.close()\\n   292|    if args.command == \\\"rank-mapping-candidates\\\":\\n   293|        settings = load_settings()\\n   294|        ensure_runtime_dirs(settings)\\n   295|        conn = connect(settings.db_path)\\n   296|        try:\\n   297|            apply_migrations(conn)\\n   298|            summary = recalculate_candidate_rankings(conn)\\n   299|            decision = None\\n   300|            if args.export_decision_pack:\\n   301|                decision_path = args.decision_pack_path or str(settings.runtime_paths.exports_dir / \\\"mapping_candidate_decision_pack.md\\\")\\n   302|                decision = export_mapping_decision_pack(conn, output_path=decision_path, top_n=args.top_n)\\n   303|            print(\\n   304|                \\\"MAPPING_CANDIDATE_RANKING \\\"\\n   305|                f\\\"candidates_total={summary['candidates_total']} rank_high={summary['rank_high']} \\\"\\n   306|                f\\\"rank_medium={summary['rank_medium']} rank_low={summary['rank_low']} \\\"\\n   307|                f\\\"multiple_listings_same_isin={summary['multiple_listings_same_isin']} \\\"\\n   308|                f\\\"currency_mismatch={summary['currency_mismatch']} hedge_status_unknown={summary['hedge_status_unknown']} \\\"\\n   309|                f\\\"instrument_status_unknown={summary['instrument_status_unknown']} \\\"\\n   310|                f\\\"candidate_review_required={summary['candidate_review_required']} \\\"\\n   311|                f\\\"decision_pack_created={str(bool(decision)).lower()} \\\"\\n   312|                f\\\"decision_pack_instruments={decision['instrument_count'] if decision else 0} \\\"\\n   313|                f\\\"decision_pack_candidates={decision['candidate_rows'] if decision else 0} \\\"\\n   314|                f\\\"top_candidates_present={str(bool(decision and decision['top_candidates_present'])).lower()}\\\"\\n   315|            )\\n   316|            return 0\\n   317|        finally:\\n   318|            conn.close()\\n   319|    if args.command == \\\"stage-instrument-candidates\\\":\\n   320|        settings = load_settings()\\n   321|        ensure_runtime_dirs(settings)\\n   322|        repo_root = Path.cwd().resolve()\\n   323|        files = [Path(f).expanduser().resolve() for f in args.files]\\n   324|        if not args.allow_repo_files:\\n   325|            for f in files:\\n   326|                try:\\n   327|                    f.relative_to(repo_root)\\n   328|                    parser.error(\\\"Broker files must stay outside git repo; pass runtime import paths, not repo files\\\")\\n   329|                except ValueError:\\n   330|                    pass\\n   331|        conn = connect(settings.db_path)\\n   332|        try:\\n   333|            apply_migrations(conn)\\n   334|            result = stage_docx_candidates(conn, files, use_qwen=args.qwen, dry_run=args.dry_run)\\n   335|            print(\\n   336|                \\\"INSTRUMENT_CANDIDATE_STAGING \\\"\\n   337|                f\\\"candidates_total={result.candidates_total} with_isin={result.with_isin} without_isin={result.without_isin} \\\"\\n   338|                f\\\"with_ticker={result.with_ticker} with_currency={result.with_currency} \\\"\\n   339|                f\\\"exact_isin_match={result.exact_isin_match} probable={result.probable} needs_manual_review={result.needs_manual_review} \\\"\\n   340|                f\\\"confirmed={result.confirmed} importable_confirmed={result.importable_confirmed} blocked={result.blocked} \\\"\\n   341|                f\\\"qwen_requested={str(args.qwen).lower()} qwen_used={str(result.qwen_used).lower()} qwen_available={str(result.qwen_available).lower()} \\\"\\n   342|                f\\\"parser_qwen_agree={result.parser_qwen_agree} parser_qwen_disagree={result.parser_qwen_disagree} \\\"\\n   343|                f\\\"warnings={result.warnings} errors={result.errors} dry_run={str(result.dry_run).lower()}\\\"\\n   344|            )\\n   345|            return 1 if result.errors else 0\\n   346|        finally:\\n   347|            conn.close()\\n   348|    if args.command == \\\"qwen-resolve-instrument-candidates\\\":\\n   349|        settings = load_settings()\\n   350|        ensure_runtime_dirs(settings)\\n   351|        conn = connect(settings.db_path)\\n   352|        try:\\n   353|            apply_migrations(conn)\\n   354|            result = qwen_resolve_staged_candidates(conn, endpoint=args.endpoint, model=args.model, limit=args.limit, dry_run=args.dry_run, timeout=args.timeout)\\n   355|            print(\\n   356|                \\\"QWEN_INSTRUMENT_RESOLVE \\\"\\n   357|                f\\\"qwen_available={str(result.qwen_available).lower()} qwen_used={str(result.qwen_used).lower()} model={result.model} \\\"\\n   358|                f\\\"candidates_total={result.candidates_total} \\\"\\n   359|                f\\\"exact_before={result.exact_before} exact_after={result.exact_after} \\\"\\n   360|                f\\\"probable_before={result.probable_before} probable_after={result.probable_after} \\\"\\n   361|                f\\\"needs_review_before={result.needs_review_before} needs_review_after={result.needs_review_after} \\\"\\n   362|                f\\\"confirmed_after={result.confirmed_after} improved={result.improved} \\\"\\n   363|                f\\\"manual_review_remaining={result.manual_review_remaining} warnings={result.warnings} errors={result.errors} \\\"\\n   364|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   365|            )\\n   366|            return 1 if result.errors else 0\\n   367|        finally:\\n   368|            conn.close()\\n   369|    if args.command == \\\"check-data-quality\\\":\\n   370|        settings = load_settings()\\n   371|        ensure_runtime_dirs(settings)\\n   372|        conn = connect(settings.db_path)\\n   373|        try:\\n   374|            apply_migrations(conn)\\n   375|            result = check_crypto_data_quality(\\n   376|                conn,\\n   377|                currency=args.currency,\\n   378|                max_age_seconds=args.max_age_seconds,\\n   379|                resolve_fixed=args.resolve_fixed,\\n   380|                dry_run=args.dry_run,\\n   381|            )\\n   382|            print(\\n   383|                \\\"DATA_QUALITY_CHECK \\\"\\n   384|                f\\\"scope={result.scope} active_crypto_assets={result.active_crypto_assets} \\\"\\n   385|                f\\\"fresh_price_assets={result.fresh_price_assets} \\\"\\n   386|                f\\\"active_stale_price_alerts_before={result.active_stale_price_alerts_before} \\\"\\n   387|                f\\\"active_stale_price_alerts_after={result.active_stale_price_alerts_after} \\\"\\n   388|                f\\\"resolved_alerts={result.resolved_alerts} \\\"\\n   389|                f\\\"warnings={result.warnings} errors={result.errors} \\\"\\n   390|                f\\\"dry_run={str(result.dry_run).lower()}\\\"\\n   391|            )\\n   392|            return 1 if result.errors else 0\\n   393|        finally:\\n   394|            conn.close()\\n   395|    if args.command == \\\"backup-runtime-db\\\":\\n   396|        settings = load_settings()\\n   397|        ensure_runtime_dirs(settings)\\n   398|        result = backup_runtime_db(\\n   399|            db_path=settings.db_path,\\n   400|            backups_dir=settings.runtime_paths.backups_dir,\\n   401|            repo_root=Path.cwd(),\\n   402|        )\\n   403|        print(\\n   404|            \\\"RUNTIME_DB_BACKUP \\\"\\n   405|            f\\\"backup_file={result.backup_file} checksum_file={result.checksum_file} \\\"\\n   406|            f\\\"sha256={result.sha256} size_bytes={result.size_bytes}\\\"\\n   407|        )\\n   408|        return 0\\n   409|    if args.command == \\\"verify-backup\\\":\\n   410|        result = verify_backup(backup_file=Path(args.file), repo_root=Path.cwd())\\n   411|        print(\\n   412|            \\\"BACKUP_VERIFY \\\"\\n   413|            f\\\"backup_file={result.backup_file} checksum_file={result.checksum_file} \\\"\\n   414|            f\\\"exists={str(result.exists).lower()} checksum_ok={str(result.checksum_ok).lower()} \\\"\\n   415|            f\\\"sha256={result.sha256}\\\"\\n   416|        )\\n   417|        return 0 if result.exists and result.checksum_ok else 1\\n   418|    if args.command == \\\"restore-runtime-db\\\":\\n   419|        settings = load_settings()\\n   420|        ensure_runtime_dirs(settings)\\n   421|        result = restore_runtime_db(\\n   422|            backup_file=Path(args.backup_file),\\n   423|            db_path=settings.db_path,\\n   424|            repo_root=Path.cwd(),\\n   425|            yes=args.yes,\\n   426|        )\\n   427|        print(\\n   428|            \\\"RUNTIME_DB_RESTORE \\\"\\n   429|            f\\\"source_file={result.source_file} restored_to={result.restored_to} \\\"\\n   430|            f\\\"verified={str(result.verified).lower()}\\\"\\n   431|        )\\n   432|        return 0\\n   433|    return 2\\n   434|\\n   435|\\n   436|if __name__ == \\\"__main__\\\":\\n   437|    raise SystemExit(main())\\n   438|\", \"total_lines\": 437, \"file_size\": 23894, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_no2kCUVnjxbD36G9sz3s3vCj"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Working on a patch**\n\nI think I need a robust patch, so I’m considering using a Python script to rewrite some files; that might be easier. Maybe I should create a provider utility module first? Then I could simplify modifying prices.py with generic classes. I’ll look into catalog.py and provider classes in fx/providers.py, as well as importing from the CLI. Oh, and I definitely need to test it with OpenFIGI using a direct script first.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Working on a patch**\n\nI think I need a robust patch, so I’m considering using a Python script to rewrite some files; that might be easier. Maybe I should create a provider utility module first? Then I could simplify modifying prices.py with generic classes. I’ll look into catalog.py and provider classes in fx/providers.py, as well as importing from the CLI. Oh, and I definitely need to test it with OpenFIGI using a direct script first.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCDViupBmko0NiFFGWj4-cogyCAPLicwUHauQfeaTyw4FKLRW_wXjn_RUbKwPbVuchbzkkzn83DusbOhk2EUAIi2HdCtQHMF9v0vFwSfyryEbsV0zU5GAl7N1wjmPY-azXOizOHrX3-zBfD0IDxI4cBO4ydZY-AKHFXXgrZIfNim6NELar2zsq2a2kM1KUlA8gTWlXcVvUZqhY5dtbJiejRaD2vCE5rm6Bcb6gfXV6FsHYjnW3hBy2jT0eDZtapOHooYEmJ_wjZlOEYABOXzD8AUo4HdGrT_gqAaogIzwdQnLJvYCgRoMEvuT3dAFLiMbs6lVBTPyFeidU-9T_N6xkI4qCmA1ggA6tLM3iUPNis2ySf22qfi-KuzxtJMOHNAyn4fp5l3Ksrs0kSe5ggsKwoTz_9ovNOZLpKeBCccKuLM7gZShYuxYwvolpILXH6uySbaYx9-s95eL3SPCiox_EK1oIYNlF5kE-jho78PcAxYPGby-CYgVh60I9OVv1xr8JKasIboElKGNdk4RxdTyemznbfoli01At-_tjfPWmzUNkVUPAXAG-uWdBIF-UXWaiF_LcHrcLaI_u27MaZDFk2bpVS5PwlbGNTC-AWKC9rfveNT8309tiDIGUD9_w8d-m7RNpwo64deT0_zZfdmkaZ55z3TIsUg6tVekGn4h_vHQohWD3Bl2FKNXN8GTd8jFP_8UmCrfPKBjIcQdSFLWBbjVVO4yQZtUgsIlXunArwg0-8ILVlbLU3L61B4SmwtufnxbuA0AUDzCPOw074BSpraroN6ikK64i-UL1sMh_tZfI8rvoubvcgGo2z1dAI02fnur34HrwMI6UM3NXcW9fLSN2Z8VHvZpdNZ35rtUTL55xkxWC8-NnlMIIKzCblS553FaF4z6u2dZ4vgv2sCqrgSFN0sbguBOGZ_PJcb2cbNWGAYX7u1fzsKpwQrxEd8-kFzUvZhiTV-_92s4XTrlECG1c5z1W-BwaNy_ApPS5u_W0j403MoI9jVVVCTdT4exgo0u2ug3w15YanPGqR4UwMuq3Izx-OTqPfeLRBqou-NmBIx8nb-H4dTNwa7VVah6QUB60edf4NWWzbbMcvTRKL7u0U_ERCwFeNFTYPmC5fnH63woP_1CIgsWqUmiWEnfzJaodDn3-XvyW7YOTBU_7R2ayFmj5tzhqa9XIfKuPyTDc1KaeQVECNd6RNGEXQRETRkFg_Ub2bUUNQjzQ1XKkFdsMy2Zy2bAXas1HzPvR4GQn2dDHPsnQZUPRLF5trK5cEoa",
          "id": "rs_0936af5d15b09d05016a08355f006c819189ad26ce96968451",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Working on a patch**\n\nI think I need a robust patch, so I’m considering using a Python script to rewrite some files; that might be easier. Maybe I should create a provider utility module first? Then I could simplify modifying prices.py with generic classes. I’ll look into catalog.py and provider classes in fx/providers.py, as well as importing from the CLI. Oh, and I definitely need to test it with OpenFIGI using a direct script first."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_J5eAy5IGc5RKsGiSKfl6ZVzs",
          "call_id": "call_J5eAy5IGc5RKsGiSKfl6ZVzs",
          "response_item_id": "fc_0936af5d15b09d05016a08356274e88191a2ec6e85f1a65503",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"from hermes_tools import terminal\\nscript=r'''\\nfrom pathlib import Path\\nimport json, stat\\nfrom urllib import request, error\\nfrom jarvis_finance.market_data.catalog import _runtime_secret_value\\nsecret=Path.home()/'jarvis_runtime/finance-system/secrets/.env'\\nprint('SECRETS_FILE_EXISTS', 'ja' if secret.exists() else 'nein')\\nprint('SECRETS_FILE_MODE_600', 'ja' if secret.exists() and stat.S_IMODE(secret.stat().st_mode)==0o600 else 'nein')\\nkeys={\\n'OPENFIGI':('OPENFIGI_API_KEY','JARVIS_OPENFIGI_API_KEY'),\\n'FMP':('FMP_API_KEY','JARVIS_FMP_API_KEY'),\\n'FINNHUB':('FINNHUB_API_KEY','JARVIS_FINNHUB_API_KEY'),\\n'TWELVEDATA':('TWELVEDATA_API_KEY','TWELVE_DATA_API_KEY','JARVIS_TWELVEDATA_API_KEY','JARVIS_TWELVE_DATA_API_KEY'),\\n'EODHD':('EODHD_API_KEY','JARVIS_EODHD_API_KEY'),\\n'MASSIVE':('MASSIVE_API_KEY','JARVIS_MASSIVE_API_KEY'),\\n'ALPHA_VANTAGE':('ALPHA_VANTAGE_API_KEY','JARVIS_ALPHA_VANTAGE_API_KEY')}\\nfor k,names in keys.items(): print(k+'_KEY_PRESENT', 'ja' if _runtime_secret_value(names) else 'nein')\\nkey=_runtime_secret_value(('OPENFIGI_API_KEY','JARVIS_OPENFIGI_API_KEY'))\\nif key:\\n  for label,url,payload in [\\n    ('OPENFIGI_MAPPING_ISIN','https://api.openfigi.com/v3/mapping',[{'idType':'ID_ISIN','idValue':'US9229087690'}]),\\n    ('OPENFIGI_SEARCH_NAME','https://api.openfigi.com/v3/search',{'query':'Vanguard Total Stock','exchCode':'US'}),\\n    ('OPENFIGI_MAPPING_TICKER','https://api.openfigi.com/v3/mapping',[{'idType':'TICKER','idValue':'VTI','exchCode':'US'}])]:\\n    req=request.Request(url,data=json.dumps(payload).encode(),headers={'Content-Type':'application/json','X-OPENFIGI-APIKEY':key})\\n    try:\\n      with request.urlopen(req,timeout=20) as resp:\\n        data=json.loads(resp.read().decode())\\n        headers={h.lower():v for h,v in resp.headers.items()}\\n        rows=(data[0].get('data',[]) if isinstance(data,list) and data and isinstance(data[0],dict) else data.get('data',[]) if isinstance(data,dict) else [])\\n        print(label, 'http_ok', 'candidates', 'ja' if rows else 'nein', 'rate_headers', 'ja' if any(h in headers for h in ['ratelimit-limit','ratelimit-remaining','ratelimit-reset']) else 'nein')\\n    except error.HTTPError as exc:\\n      print(label, 'http_error', exc.code)\\n    except Exception as exc:\\n      print(label, 'error', type(exc).__name__)\\n'''\\nfrom pathlib import Path\\nPath('/tmp/provider_v2_preflight.py').write_text(script)\\nprint(terminal('python /tmp/provider_v2_preflight.py', timeout=180, workdir='/home/agent/.hermes/repos/FinanceManager')['output'])\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"SECRETS_FILE_EXISTS ja\\nSECRETS_FILE_MODE_600 ja\\nOPENFIGI_KEY_PRESENT ja\\nFMP_KEY_PRESENT ja\\nFINNHUB_KEY_PRESENT ja\\nTWELVEDATA_KEY_PRESENT ja\\nEODHD_KEY_PRESENT ja\\nMASSIVE_KEY_PRESENT ja\\nALPHA_VANTAGE_KEY_PRESENT nein\\nOPENFIGI_MAPPING_ISIN http_ok candidates ja rate_headers ja\\nOPENFIGI_SEARCH_NAME http_ok candidates ja rate_headers ja\\nOPENFIGI_MAPPING_TICKER http_ok candidates ja rate_headers ja\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 2.82}",
      "tool_call_id": "call_J5eAy5IGc5RKsGiSKfl6ZVzs"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqCDWFdY6Di4eQY9W21kzWlEI4mQ36bl_9b_nu3ckpSHCork40WMnTrmC5IXDiwE0UC0-jiACDdGZLFJDZTmaJYEawVspKSWe0lKA6YWuyV6CURIGJyY0s2yb86g6iPpFrBHx9wc_enwUdh1qxxvNiJdw0EQQY8IYWdKJ7br2ccKii-B-EziuXvpJ2UCFxW7wcAVrxGWFgQImoA7AUhF6hLwe-Jvw12GKuaJeu0ni7383zDpUXa5ICPWYmoIehxRmA5yb1_yeCheu1OWR0NRdBGz8DQLstf1nUMSGPg5M2PLiWWCVS8jZSkq_hs6Ddftbdfcba2c69duFIfsswOHne0EC5pbHfdxSsxGhCyXBw2WkeX9Qn75_sThtAsEIDzAbeCY6gFJ941w7lCy6rXslubQZHeqs9WuNVjO_oW19zj0onp3_xrleXFWv2yC5nj3cYP50cmdwJuNhItTkTladi0ftw8c6WP4xejdn_8670-SPT-h-dyS3-1k5xh3nc1rFb6aP7E3M13u-BZOsy_Lrsyc6uduoP1-jTIXE05j-KeA2p2MwEcpKar9jiydDDNAFZ0t-GHXqWmSS-FjjkGc6AB1HQFU17SkLANfexJX40W00BMd4YnF9J9GRrBMgvRW1s24t7wVSLhpo_21n-HG2TWPGlWlqilbj0IpScDP-wj7qHq5i7VTqzBa2z7Re3mKM120WJYmIYKDCYKZ50WGfxfBr58YhlNXA8Sk1-V1bR_472NiV7sWl2_1fagz9OESru32BUuGLN6Dn6CoAryiGv_pfJ-8lA5R0HJJO4qiS0Y49VByLBoU0lCQPW-WrvUOCrjtS8PHpnZTh7WBrmwhVtDJqaPhgIMyIrZvqSl-0S4wAv-q6iYhP6IEuTQ3M48OiGTktcZclNNmSes5nuTe1vAiv5sTo3IhdhR8Y0aGM176seQCc6wYRw3zdqTeW22slbbdb17shRpYC4boDq275lzTF0XYfZGhvx0ewkHQuA-5MWh765LIf_DqeUeVe0PQrnf2HM5jPrK37KvAGdjc9eMbDQ3LwjWoKCEETVmY0K5pS8WD06Kluw_mRB9_fYf46jU_enJlVo9xJ3ZqbjVYYW00vaMH2FgXMa6XXSJwxo3LcFH-Ve7FPIkdjIj_LBgxHTSiBkjPMODljcTfuFa3oNdV6SmhvZufLv6YdadnSD_bbB3EKeeCDcgSWn-HXPRkywixSOlYIkN8zVedspjKT6qye9wr8GrLGqoFA5ijOcHmMBhkDtMl0Le6RK4qaqgOLUF94naFeli1N7QHtHlrRbrA92cnvAtDmt0fsJdm_VhpgDwrZhfvPrx-G0Ywlp2TY8QjZdpVzFu4eVGXaax8XhyBnsWfYnUC46xO-NH2F26WKGUJ275_oMJoPApp_eHff_DJeGYb1tWvsIpvhpLSJWOFAlynh-1q00sNqdVImU_LNWBoU6RP3NLl7qh_kTawpy9QUKZestvve2SRmURSSOk9fstim-RH5ZmNF-ZZQ1c_iZJZo7NB8Q-YhiSQr5pSZY3atQs_M0mTqehjD7Nqfh_mm5kPpHk1m3EgrBRdp77SHzE--R4L7QtEYkPAxehDrOE8ZZrEuAFJDPWf6WOainKh-lL4NbS5lrRaITUK7zbZ9WAsDmTKvV3djzU9wYa7WhJqjE5PPAGIOP7UO7oQ7cpbHchrgXvdS2zC9VXPWa9uTG7IRLeLsA_ajz7pQDGA3h-WTvmVb5JV1nnmrHOdsUAWUWKmYeErNH8ddmDdeVEv_PhRsWI9y9Exd-91Bt2bbsrPNScjbAj7qBmx5CvX0EXmhkURAyux9w1B5Ptge61Gte4HaTCy_RWocjTa71U48KS5LOM7u0iksYVFoxKMHo3rhultxqP_u-5Y_wZvnKQ_OKlnVBXhzeXdO8rkg5aiHUQThbTkCctwtNelkJs8kdwQXeB8ncVli4XDE05Oo5SyYkZnG3V3B46r-SD_0f6-y7h9ILDrTSBXIRfBoVJFZ_yMuVqDKeMSAZ0Z_ftxYtapIlgP1ZoPyj6sFLxjFvPizQgVCKlGmsKHzOCEIIQAJ5mr1YF8sQDwIaMbdxGWvWAn6oses6FRgxHkqU85BQc1UTgfTukltyVskh-VHmnLnDPDyItALH0FZ_cGSMq8Wt3rmHodx8bO-XqLW69jEe2I4WNNQR-NsEIVZreSa7PqZFqSMdo0hksk9AD2SHIx7v0uVfBRg=",
          "id": "rs_0936af5d15b09d05016a08358127e88191ad97b7d30fcd30fb",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_kdN9yTojKqhLbZcpJWuHZLDn",
          "call_id": "call_kdN9yTojKqhLbZcpJWuHZLDn",
          "response_item_id": "fc_0936af5d15b09d05016a083585bdf8819184fa101628685682",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"path\":\"/tmp/patch_prices.py\",\"content\":\"from pathlib import Path\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/prices.py')\\ns=p.read_text()\\ninsert='''\\\\n\\\\nclass _HttpEquityPriceProvider:\\\\n    name = \\\"provider\\\"\\\\n    api_key_env: tuple[str, ...] = ()\\\\n\\\\n    def __init__(self, *, api_key: str | None = None, timeout_seconds: float = 8.0) -> None:\\\\n        self.api_key = api_key or _runtime_secret_value(self.api_key_env)\\\\n        self.timeout_seconds = timeout_seconds\\\\n\\\\n    def _json_url(self, url: str, *, headers: dict[str, str] | None = None) -> object:\\\\n        req = request.Request(url, headers=headers or {\\\"Accept\\\": \\\"application/json\\\"})\\\\n        try:\\\\n            with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit CLI/user provider lookup\\\\n                return json.loads(response.read().decode(\\\"utf-8\\\"))\\\\n        except error.HTTPError as exc:\\\\n            if exc.code in {401, 403}:\\\\n                raise RuntimeError(f\\\"{self.name}_auth_failed\\\") from exc\\\\n            if exc.code == 402:\\\\n                raise RuntimeError(f\\\"{self.name}_endpoint_restricted\\\") from exc\\\\n            if exc.code == 429:\\\\n                raise RuntimeError(f\\\"{self.name}_rate_limited\\\") from exc\\\\n            raise RuntimeError(f\\\"{self.name}_provider_error\\\") from exc\\\\n        except error.URLError as exc:\\\\n            raise RuntimeError(f\\\"{self.name}_network_error\\\") from exc\\\\n\\\\n    @staticmethod\\\\n    def _decimal_price(value: object) -> Decimal | None:\\\\n        try:\\\\n            price = Decimal(str(value)) if value not in {None, \\\"\\\"} else None\\\\n        except (InvalidOperation, ValueError):\\\\n            return None\\\\n        return price if price is not None and price > 0 else None\\\\n\\\\n    def _missing(self, symbol: str, message: str) -> EquityPriceQuote:\\\\n        return EquityPriceQuote(provider_symbol=symbol, currency=\\\"\\\", close=None, provider=self.name, quality_status=\\\"missing\\\", error_message=message)\\\\n\\\\n\\\\nclass FinnhubEquityPriceProvider(_HttpEquityPriceProvider):\\\\n    name = \\\"finnhub\\\"\\\\n    api_key_env = (\\\"FINNHUB_API_KEY\\\", \\\"JARVIS_FINNHUB_API_KEY\\\")\\\\n\\\\n    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\\\n        symbol = (provider_symbol or \\\"\\\").strip().upper()\\\\n        if not symbol:\\\\n            return self._missing(symbol, \\\"provider_symbol_missing\\\")\\\\n        if not self.api_key:\\\\n            return self._missing(symbol, \\\"finnhub_api_key_missing\\\")\\\\n        try:\\\\n            payload = self._json_url(\\\"https://finnhub.io/api/v1/quote?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"token\\\": self.api_key}))\\\\n            profile = self._json_url(\\\"https://finnhub.io/api/v1/stock/profile2?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"token\\\": self.api_key}))\\\\n        except RuntimeError as exc:\\\\n            return self._missing(symbol, str(exc))\\\\n        row = payload if isinstance(payload, dict) else {}\\\\n        price = self._decimal_price(row.get(\\\"c\\\") or row.get(\\\"pc\\\"))\\\\n        if price is None:\\\\n            return self._missing(symbol, \\\"price_missing\\\")\\\\n        currency = str(profile.get(\\\"currency\\\") or \\\"USD\\\").upper() if isinstance(profile, dict) else \\\"USD\\\"\\\\n        return EquityPriceQuote(provider_symbol=symbol, currency=currency or \\\"USD\\\", close=price, provider=self.name, price_timestamp=utc_now(), quality_status=\\\"fresh\\\")\\\\n\\\\n\\\\nclass TwelveDataEquityPriceProvider(_HttpEquityPriceProvider):\\\\n    name = \\\"twelvedata\\\"\\\\n    api_key_env = (\\\"TWELVEDATA_API_KEY\\\", \\\"TWELVE_DATA_API_KEY\\\", \\\"JARVIS_TWELVEDATA_API_KEY\\\", \\\"JARVIS_TWELVE_DATA_API_KEY\\\")\\\\n\\\\n    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\\\n        symbol = (provider_symbol or \\\"\\\").strip().upper()\\\\n        if not symbol:\\\\n            return self._missing(symbol, \\\"provider_symbol_missing\\\")\\\\n        if not self.api_key:\\\\n            return self._missing(symbol, \\\"twelvedata_api_key_missing\\\")\\\\n        try:\\\\n            payload = self._json_url(\\\"https://api.twelvedata.com/quote?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"apikey\\\": self.api_key}))\\\\n        except RuntimeError as exc:\\\\n            return self._missing(symbol, str(exc))\\\\n        row = payload if isinstance(payload, dict) else {}\\\\n        if str(row.get(\\\"status\\\") or \\\"\\\").lower() == \\\"error\\\":\\\\n            return self._missing(symbol, \\\"twelvedata_provider_error\\\")\\\\n        price = self._decimal_price(row.get(\\\"close\\\") or row.get(\\\"previous_close\\\") or row.get(\\\"price\\\"))\\\\n        if price is None:\\\\n            return self._missing(symbol, \\\"price_missing\\\")\\\\n        currency = str(row.get(\\\"currency\\\") or \\\"USD\\\").upper()\\\\n        ts = str(row.get(\\\"datetime\\\") or row.get(\\\"timestamp\\\") or utc_now())\\\\n        return EquityPriceQuote(provider_symbol=symbol, currency=currency or \\\"USD\\\", close=price, provider=self.name, price_timestamp=ts, quality_status=\\\"fresh\\\")\\\\n\\\\n\\\\nclass MassiveEquityPriceProvider(_HttpEquityPriceProvider):\\\\n    name = \\\"massive\\\"\\\\n    api_key_env = (\\\"MASSIVE_API_KEY\\\", \\\"JARVIS_MASSIVE_API_KEY\\\")\\\\n\\\\n    def _massive_json(self, path: str) -> object:\\\\n        if not self.api_key:\\\\n            raise RuntimeError(\\\"massive_api_key_missing\\\")\\\\n        base = \\\"https://api.massive.com\\\" + path\\\\n        try:\\\\n            return self._json_url(base, headers={\\\"Accept\\\": \\\"application/json\\\", \\\"Authorization\\\": f\\\"Bearer {self.api_key}\\\"})\\\\n        except RuntimeError as exc:\\\\n            if \\\"auth_failed\\\" not in str(exc):\\\\n                raise\\\\n            sep = \\\"&\\\" if \\\"?\\\" in base else \\\"?\\\"\\\\n            return self._json_url(base + sep + parse.urlencode({\\\"apiKey\\\": self.api_key}), headers={\\\"Accept\\\": \\\"application/json\\\"})\\\\n\\\\n    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\\\n        symbol = (provider_symbol or \\\"\\\").strip().upper()\\\\n        if not symbol:\\\\n            return self._missing(symbol, \\\"provider_symbol_missing\\\")\\\\n        try:\\\\n            payload = self._massive_json(f\\\"/v2/aggs/ticker/{parse.quote(symbol)}/prev\\\")\\\\n        except RuntimeError as exc:\\\\n            return self._missing(symbol, str(exc))\\\\n        results = payload.get(\\\"results\\\", []) if isinstance(payload, dict) else []\\\\n        row = results[0] if results and isinstance(results[0], dict) else {}\\\\n        price = self._decimal_price(row.get(\\\"c\\\") or row.get(\\\"vw\\\"))\\\\n        if price is None:\\\\n            return self._missing(symbol, \\\"price_missing\\\")\\\\n        return EquityPriceQuote(provider_symbol=symbol, currency=\\\"USD\\\", close=price, provider=self.name, price_timestamp=utc_now(), quality_status=\\\"fresh\\\")\\\\n\\\\n\\\\nclass EodhdEquityPriceProvider(_HttpEquityPriceProvider):\\\\n    name = \\\"eodhd\\\"\\\\n    api_key_env = (\\\"EODHD_API_KEY\\\", \\\"JARVIS_EODHD_API_KEY\\\")\\\\n\\\\n    def get_price(self, provider_symbol: str, *, price_date: str | None = None) -> EquityPriceQuote:\\\\n        symbol = (provider_symbol or \\\"\\\").strip().upper()\\\\n        if not symbol:\\\\n            return self._missing(symbol, \\\"provider_symbol_missing\\\")\\\\n        if not self.api_key:\\\\n            return self._missing(symbol, \\\"eodhd_api_key_missing\\\")\\\\n        eod_symbol = symbol if \\\".\\\" in symbol else f\\\"{symbol}.US\\\"\\\\n        try:\\\\n            payload = self._json_url(\\\"https://eodhd.com/api/real-time/\\\" + parse.quote(eod_symbol) + \\\"?\\\" + parse.urlencode({\\\"api_token\\\": self.api_key, \\\"fmt\\\": \\\"json\\\"}))\\\\n        except RuntimeError as exc:\\\\n            return self._missing(symbol, str(exc))\\\\n        row = payload if isinstance(payload, dict) else {}\\\\n        price = self._decimal_price(row.get(\\\"close\\\") or row.get(\\\"previousClose\\\"))\\\\n        if price is None:\\\\n            return self._missing(symbol, \\\"price_missing\\\")\\\\n        return EquityPriceQuote(provider_symbol=symbol, currency=str(row.get(\\\"currency\\\") or \\\"USD\\\").upper(), close=price, provider=self.name, price_timestamp=utc_now(), quality_status=\\\"fresh\\\")\\\\n\\\\n\\\\ndef equity_price_provider_by_name(name: str) -> EquityPriceProvider:\\\\n    key = (name or \\\"\\\").lower().replace(\\\"-\\\", \\\"\\\")\\\\n    providers = {\\\\n        \\\"fmp\\\": FmpEquityPriceProvider,\\\\n        \\\"finnhub\\\": FinnhubEquityPriceProvider,\\\\n        \\\"twelvedata\\\": TwelveDataEquityPriceProvider,\\\\n        \\\"twelvedata\\\": TwelveDataEquityPriceProvider,\\\\n        \\\"massive\\\": MassiveEquityPriceProvider,\\\\n        \\\"eodhd\\\": EodhdEquityPriceProvider,\\\\n    }\\\\n    if key not in providers:\\\\n        raise ValueError(\\\"unknown equity price provider\\\")\\\\n    return providers[key]()\\\\n'''\\n# insert after FmpEquityPriceProvider class (before _resolve_market_alerts)\\nmarker='\\\\n\\\\ndef _resolve_market_alerts'\\ns=s.replace(marker, insert+marker)\\np.write_text(s)\\n\"}"
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      "reasoning": "**Evaluating key usage**\n\nI think I need a duplicate key, even if it might be unnecessary. It’s probably better to focus on cataloging the classes instead. I should use append before the default to modify the default/status. This approach seems more efficient. It’s crucial to ensure everything functions correctly while simplifying the process. Let’s figure out the best way to tidy things up and make any necessary adjustments!",
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            "arguments": "{\"content\":\"from pathlib import Path\\np=Path('/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/catalog.py')\\ns=p.read_text()\\nclasses=r'''\\n\\nclass TwelveDataLookupProvider(_HttpJsonLookupProvider):\\n    name = \\\"twelvedata\\\"\\n    api_key_env = (\\\"TWELVEDATA_API_KEY\\\", \\\"TWELVE_DATA_API_KEY\\\", \\\"JARVIS_TWELVEDATA_API_KEY\\\", \\\"JARVIS_TWELVE_DATA_API_KEY\\\")\\n\\n    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n        if not self.api_key:\\n            raise LookupUnavailable(\\\"twelvedata_api_key_missing\\\")\\n        url = \\\"https://api.twelvedata.com/symbol_search?\\\" + parse.urlencode({\\\"symbol\\\": query, \\\"apikey\\\": self.api_key})\\n        payload = self._get_json(url)\\n        if isinstance(payload, dict) and str(payload.get(\\\"status\\\") or \\\"\\\").lower() == \\\"error\\\":\\n            raise LookupUnavailable(\\\"twelvedata_provider_error\\\")\\n        rows = payload.get(\\\"data\\\", []) if isinstance(payload, dict) else []\\n        results: list[CatalogSearchResult] = []\\n        for item in rows[:10]:\\n            if not isinstance(item, dict):\\n                continue\\n            symbol = str(item.get(\\\"symbol\\\") or item.get(\\\"instrument_name\\\") or \\\"\\\").strip().upper()\\n            name = str(item.get(\\\"instrument_name\\\") or item.get(\\\"name\\\") or symbol or query).strip()\\n            if not symbol and not name:\\n                continue\\n            instrument_type = str(item.get(\\\"instrument_type\\\") or \\\"\\\").lower()\\n            inferred_class = asset_class or (\\\"etf\\\" if \\\"etf\\\" in instrument_type or \\\"fund\\\" in name.lower() else \\\"stock\\\")\\n            results.append(CatalogSearchResult(None, inferred_class, name, ticker=symbol.split(\\\":\\\")[0] if symbol else None, exchange=str(item.get(\\\"exchange\\\") or item.get(\\\"mic_code\\\") or \\\"\\\").strip().upper() or None, trading_currency=str(item.get(\\\"currency\\\") or \\\"\\\").strip().upper() or None, provider=\\\"twelvedata\\\", provider_symbol=symbol or None, provider_market=str(item.get(\\\"exchange\\\") or \\\"\\\").strip().upper() or None, country=str(item.get(\\\"country\\\") or \\\"\\\").strip().upper() or None, confidence=\\\"medium\\\" if symbol else \\\"low\\\", source=\\\"twelvedata\\\", evidence_note=\\\"Twelve Data symbol search result; manual selection required\\\"))\\n        return results\\n\\n\\nclass MassiveLookupProvider(_HttpJsonLookupProvider):\\n    name = \\\"massive\\\"\\n    api_key_env = (\\\"MASSIVE_API_KEY\\\", \\\"JARVIS_MASSIVE_API_KEY\\\")\\n\\n    def _massive_json(self, path: str, params: dict[str, str] | None = None) -> object:\\n        if not self.api_key:\\n            raise LookupUnavailable(\\\"massive_api_key_missing\\\")\\n        qs = (\\\"?\\\" + parse.urlencode(params or {})) if params else \\\"\\\"\\n        url = \\\"https://api.massive.com\\\" + path + qs\\n        try:\\n            return self._get_json(url, headers={\\\"Accept\\\": \\\"application/json\\\", \\\"Authorization\\\": f\\\"Bearer {self.api_key}\\\"})\\n        except LookupUnavailable as exc:\\n            if \\\"auth_failed\\\" not in str(exc):\\n                raise\\n            sep = \\\"&\\\" if \\\"?\\\" in url else \\\"?\\\"\\n            return self._get_json(url + sep + parse.urlencode({\\\"apiKey\\\": self.api_key}), headers={\\\"Accept\\\": \\\"application/json\\\"})\\n\\n    def _details(self, symbol: str) -> dict[str, object]:\\n        try:\\n            payload = self._massive_json(\\\"/v3/reference/tickers/\\\" + parse.quote(symbol))\\n        except LookupUnavailable:\\n            return {}\\n        result = payload.get(\\\"results\\\", {}) if isinstance(payload, dict) else {}\\n        return result if isinstance(result, dict) else {}\\n\\n    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n        q = (query or \\\"\\\").strip()\\n        if not q:\\n            return []\\n        params = {\\\"limit\\\": \\\"10\\\", \\\"market\\\": \\\"stocks\\\", \\\"active\\\": \\\"true\\\"}\\n        if len(q.split()) == 1 and len(q) <= 12:\\n            params[\\\"ticker\\\"] = q.upper()\\n        else:\\n            params[\\\"search\\\"] = q\\n        payload = self._massive_json(\\\"/v3/reference/tickers\\\", params)\\n        rows = payload.get(\\\"results\\\", []) if isinstance(payload, dict) else []\\n        results: list[CatalogSearchResult] = []\\n        for item in rows[:10]:\\n            if not isinstance(item, dict):\\n                continue\\n            symbol = str(item.get(\\\"ticker\\\") or \\\"\\\").strip().upper()\\n            details = self._details(symbol) if symbol else {}\\n            name = str(item.get(\\\"name\\\") or details.get(\\\"name\\\") or symbol or query).strip()\\n            typ = str(item.get(\\\"type\\\") or details.get(\\\"type\\\") or \\\"\\\").lower()\\n            inferred_class = asset_class or (\\\"etf\\\" if \\\"etf\\\" in typ or \\\"fund\\\" in name.lower() else \\\"stock\\\")\\n            results.append(CatalogSearchResult(None, inferred_class, name, ticker=symbol or None, exchange=str(item.get(\\\"primary_exchange\\\") or details.get(\\\"primary_exchange\\\") or \\\"\\\").strip().upper() or None, trading_currency=str(item.get(\\\"currency_name\\\") or details.get(\\\"currency_name\\\") or \\\"USD\\\").strip().upper() or None, provider=\\\"massive\\\", provider_symbol=symbol or None, provider_market=str(item.get(\\\"primary_exchange\\\") or \\\"\\\").strip().upper() or None, country=str(item.get(\\\"locale\\\") or details.get(\\\"locale\\\") or \\\"\\\").strip().upper() or None, confidence=\\\"medium\\\" if symbol else \\\"low\\\", source=\\\"massive\\\", evidence_note=\\\"Massive reference ticker result; US-focused fallback; manual selection required\\\"))\\n        return results\\n\\n\\nclass EodhdLookupProvider(_HttpJsonLookupProvider):\\n    name = \\\"eodhd\\\"\\n    api_key_env = (\\\"EODHD_API_KEY\\\", \\\"JARVIS_EODHD_API_KEY\\\")\\n\\n    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n        # Low-volume fallback: never included in default bulk search; explicit use only.\\n        if not self.api_key:\\n            raise LookupUnavailable(\\\"eodhd_api_key_missing\\\")\\n        raise LookupUnavailable(\\\"eodhd_low_volume_explicit_only\\\")\\n'''\\nmarker='\\\\n\\\\ndef default_instrument_lookup_providers()'\\ns=s.replace(marker, classes+marker)\\ns=s.replace('return [OpenFigiLookupProvider(), FmpSearchProvider(), FinnhubSymbolLookupProvider()]','return [OpenFigiLookupProvider(), FmpSearchProvider(), FinnhubSymbolLookupProvider(), TwelveDataLookupProvider(), MassiveLookupProvider()]')\\nold='''        (\\\"Finnhub\\\", FinnhubSymbolLookupProvider, None, \\\"FINNHUB_API_KEY; optionaler Fallback\\\", \\\"VTI\\\", \\\"etf\\\"),\\n        (\\\"EODHD\\\", None, None, \\\"EODHD_API_KEY; für MVP nicht priorisiert\\\", \\\"\\\", \\\"\\\"),\\n        (\\\"Manuelle Anlage\\\", None, \\\"aktiv\\\", \\\"Immer verfügbar, auditierbar.\\\", \\\"\\\", \\\"\\\"),'''\\nnew='''        (\\\"Finnhub\\\", FinnhubSymbolLookupProvider, None, \\\"FINNHUB_API_KEY; optionaler Fallback\\\", \\\"VTI\\\", \\\"etf\\\"),\\n        (\\\"Twelve Data\\\", TwelveDataLookupProvider, None, \\\"TWELVEDATA_API_KEY; Aktien/ETF/FX-Fallback\\\", \\\"VTI\\\", \\\"etf\\\"),\\n        (\\\"Massive\\\", MassiveLookupProvider, None, \\\"MASSIVE_API_KEY; US-Reference/Preis-Fallback\\\", \\\"VTI\\\", \\\"etf\\\"),\\n        (\\\"EODHD\\\", None, None, \\\"EODHD_API_KEY; Low-volume fallback, nicht für Bulk verwenden.\\\", \\\"\\\", \\\"\\\"),\\n        (\\\"Alpha Vantage\\\", None, None, \\\"ALPHA_VANTAGE_API_KEY; optionaler Low-volume-Fallback\\\", \\\"\\\", \\\"\\\"),\\n        (\\\"Frankfurter FX\\\", None, \\\"aktiv\\\", \\\"kein Key nötig; 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          "id": "rs_0936af5d15b09d05016a0835eb3bfc8191b9579f9fb19cc53d",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Improving profile search**\n\nI’m thinking about enhancing the Finnhub profile search by possibly adding a profile and quote feature. The current catalog search seems adequate, but I'm considering if incorporating a price preview could be beneficial. Right now, the search results lack a price display, which might be helpful. So, it could be worthwhile to enrich the results with a profile, and I’m wondering if a patch might be necessary to implement these enhancements."
            }
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      ],
      "tool_calls": [
        {
          "id": "call_CJMXg5EMDMCDCrauPbBwrOZd",
          "call_id": "call_CJMXg5EMDMCDCrauPbBwrOZd",
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          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/catalog.py\",\"old_string\":\"    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n        payload = self._request(query)\\n        rows = payload.get(\\\"result\\\", []) if isinstance(payload, dict) else []\\n        results: list[CatalogSearchResult] = []\\n        for item in rows[:10]:\\n            if not isinstance(item, dict):\\n                continue\\n            symbol = str(item.get(\\\"symbol\\\") or \\\"\\\").strip().upper()\\n            description = str(item.get(\\\"description\\\") or symbol or query).strip()\\n            if not symbol:\\n                continue\\n            inferred_class = asset_class or (\\\"etf\\\" if \\\"etf\\\" in description.lower() else \\\"stock\\\")\\n            results.append(CatalogSearchResult(None, inferred_class, description, ticker=symbol.split(\\\".\\\")[0], exchange=None, provider=\\\"finnhub\\\", provider_symbol=symbol, confidence=\\\"low\\\", source=\\\"finnhub\\\", evidence_note=\\\"Finnhub symbol lookup; manual selection required\\\"))\\n        return results\",\"new_string\":\"    def _get_profile(self, symbol: str) -> dict[str, object]:\\n        if not self.api_key or not symbol:\\n            return {}\\n        try:\\n            payload = self._get_json(\\\"https://finnhub.io/api/v1/stock/profile2?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"token\\\": self.api_key}))\\n        except LookupUnavailable:\\n            return {}\\n        return payload if isinstance(payload, dict) else {}\\n\\n    def _get_quote(self, symbol: str) -> dict[str, object]:\\n        if not self.api_key or not symbol:\\n            return {}\\n        try:\\n            payload = self._get_json(\\\"https://finnhub.io/api/v1/quote?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"token\\\": self.api_key}))\\n        except LookupUnavailable:\\n            return {}\\n        return payload if isinstance(payload, dict) else {}\\n\\n    def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n        payload = self._request(query)\\n        rows = payload.get(\\\"result\\\", []) if isinstance(payload, dict) else []\\n        results: list[CatalogSearchResult] = []\\n        for item in rows[:10]:\\n            if not isinstance(item, dict):\\n                continue\\n            symbol = str(item.get(\\\"symbol\\\") or \\\"\\\").strip().upper()\\n            description = str(item.get(\\\"description\\\") or symbol or query).strip()\\n            if not symbol:\\n                continue\\n            profile = self._get_profile(symbol)\\n            quote = self._get_quote(symbol)\\n            inferred_class = asset_class or (\\\"etf\\\" if \\\"etf\\\" in description.lower() else \\\"stock\\\")\\n            price = quote.get(\\\"c\\\") or quote.get(\\\"pc\\\")\\n            last_price = str(price).strip() if price not in {None, \\\"\\\", 0, \\\"0\\\"} else None\\n            results.append(CatalogSearchResult(None, inferred_class, description, ticker=symbol.split(\\\".\\\")[0], exchange=str(profile.get(\\\"exchange\\\") or \\\"\\\").strip().upper() or None, trading_currency=str(profile.get(\\\"currency\\\") or \\\"\\\").strip().upper() or None, provider=\\\"finnhub\\\", provider_symbol=symbol, country=str(profile.get(\\\"country\\\") or \\\"\\\").strip().upper() or None, confidence=\\\"medium\\\" if profile else \\\"low\\\", source=\\\"finnhub\\\", evidence_note=\\\"Finnhub symbol/profile/quote lookup; manual selection required\\\", last_price=last_price, price_currency=str(profile.get(\\\"currency\\\") or \\\"USD\\\").upper() if last_price else None, price_date=utc_now()[:10] if last_price else None, price_source=\\\"finnhub quote\\\" if last_price else None))\\n        return results\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/catalog.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/catalog.py\\n@@ -269,6 +269,24 @@\\n         url = \\\"https://finnhub.io/api/v1/search?\\\" + parse.urlencode({\\\"q\\\": query, \\\"token\\\": self.api_key})\\n         return self._get_json(url)\\n \\n+    def _get_profile(self, symbol: str) -> dict[str, object]:\\n+        if not self.api_key or not symbol:\\n+            return {}\\n+        try:\\n+            payload = self._get_json(\\\"https://finnhub.io/api/v1/stock/profile2?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"token\\\": self.api_key}))\\n+        except LookupUnavailable:\\n+            return {}\\n+        return payload if isinstance(payload, dict) else {}\\n+\\n+    def _get_quote(self, symbol: str) -> dict[str, object]:\\n+        if not self.api_key or not symbol:\\n+            return {}\\n+        try:\\n+            payload = self._get_json(\\\"https://finnhub.io/api/v1/quote?\\\" + parse.urlencode({\\\"symbol\\\": symbol, \\\"token\\\": self.api_key}))\\n+        except LookupUnavailable:\\n+            return {}\\n+        return payload if isinstance(payload, dict) else {}\\n+\\n     def search(self, *, query: str, asset_class: str | None = None) -> list[CatalogSearchResult]:\\n         payload = self._request(query)\\n         rows = payload.get(\\\"result\\\", []) if isinstance(payload, dict) else []\\n@@ -280,8 +298,12 @@\\n             description = str(item.get(\\\"description\\\") or symbol or query).strip()\\n             if not symbol:\\n                 continue\\n+            profile = self._get_profile(symbol)\\n+            quote = self._get_quote(symbol)\\n             inferred_class = asset_class or (\\\"etf\\\" if \\\"etf\\\" in description.lower() else \\\"stock\\\")\\n-            results.append(CatalogSearchResult(None, inferred_class, description, ticker=symbol.split(\\\".\\\")[0], exchange=None, provider=\\\"finnhub\\\", provider_symbol=symbol, confidence=\\\"low\\\", source=\\\"finnhub\\\", evidence_note=\\\"Finnhub symbol lookup; manual selection required\\\"))\\n+            price = quote.get(\\\"c\\\") or quote.get(\\\"pc\\\")\\n+            last_price = str(price).strip() if price not in {None, \\\"\\\", 0, \\\"0\\\"} else None\\n+            results.append(CatalogSearchResult(None, inferred_class, description, ticker=symbol.split(\\\".\\\")[0], exchange=str(profile.get(\\\"exchange\\\") or \\\"\\\").strip().upper() or None, trading_currency=str(profile.get(\\\"currency\\\") or \\\"\\\").strip().upper() or None, provider=\\\"finnhub\\\", provider_symbol=symbol, country=str(profile.get(\\\"country\\\") or \\\"\\\").strip().upper() or None, confidence=\\\"medium\\\" if profile else \\\"low\\\", source=\\\"finnhub\\\", evidence_note=\\\"Finnhub symbol/profile/quote lookup; manual selection required\\\", last_price=last_price, price_currency=str(profile.get(\\\"currency\\\") or \\\"USD\\\").upper() if last_price else None, price_date=utc_now()[:10] if last_price else None, price_source=\\\"finnhub quote\\\" if last_price else None))\\n         return results\\n \\n \\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/catalog.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/market_data/catalog.py was modified since you last read it on disk (external edit or unrecorded writer). Re-read the file before writing.\"}",
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        {
          "id": "call_deqCvFZZJVNb6xLfeqzd44EB",
          "call_id": "call_deqCvFZZJVNb6xLfeqzd44EB",
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          "function": {
            "name": "write_file",
            "arguments": "{\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/providers.py\",\"content\":\"from __future__ import annotations\\n\\nimport json\\nfrom decimal import Decimal, InvalidOperation\\nfrom urllib import error, parse, request\\n\\nfrom jarvis_finance.market_data.catalog import _runtime_secret_value\\n\\n\\nclass HistoricalFxUnavailable(RuntimeError):\\n    def __init__(self, message: str, *, status: str = \\\"manual_override_required\\\") -> None:\\n        super().__init__(message)\\n        self.status = status\\n\\n\\nclass MockFxProvider:\\n    name = \\\"mock\\\"\\n\\n    def __init__(self, rates: dict[tuple[str, str, str], Decimal | str | None], *, unavailable: set[tuple[str, str, str]] | None = None) -> None:\\n        self.rates = {(a.upper(), b.upper(), d): (Decimal(str(v)) if v is not None else None) for (a, b, d), v in rates.items()}\\n        self.unavailable = {(a.upper(), b.upper(), d) for a, b, d in (unavailable or set())}\\n\\n    def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None:\\n        date = rate_date or \\\"latest\\\"\\n        key = (base_currency.upper(), quote_currency.upper(), date)\\n        if key in self.unavailable:\\n            raise HistoricalFxUnavailable(\\\"historical FX unavailable/paywalled\\\")\\n        return self.rates.get(key)\\n\\n\\nclass FrankfurterFxProvider:\\n    name = \\\"frankfurter\\\"\\n\\n    def __init__(self, *, timeout_seconds: float = 8.0) -> None:\\n        self.timeout_seconds = timeout_seconds\\n\\n    def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None:\\n        base = base_currency.upper(); quote = quote_currency.upper()\\n        if base == quote:\\n            return Decimal(\\\"1\\\")\\n        endpoint = \\\"latest\\\" if not rate_date or rate_date == \\\"latest\\\" else rate_date\\n        url = f\\\"https://api.frankfurter.app/{endpoint}?\\\" + parse.urlencode({\\\"from\\\": base, \\\"to\\\": quote})\\n        try:\\n            req = request.Request(url, headers={\\\"Accept\\\": \\\"application/json\\\"})\\n            with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit CLI FX update\\n                payload = json.loads(response.read().decode(\\\"utf-8\\\"))\\n        except error.HTTPError as exc:\\n            if exc.code == 429:\\n                raise HistoricalFxUnavailable(\\\"frankfurter_rate_limited\\\", status=\\\"rate_limited\\\") from exc\\n            raise HistoricalFxUnavailable(\\\"frankfurter_provider_error\\\") from exc\\n        except error.URLError as exc:\\n            raise HistoricalFxUnavailable(\\\"frankfurter_network_error\\\") from exc\\n        try:\\n            value = payload.get(\\\"rates\\\", {}).get(quote)\\n            return Decimal(str(value)) if value not in {None, \\\"\\\"} else None\\n        except (InvalidOperation, ValueError, AttributeError):\\n            return None\\n\\n\\nclass TwelveDataFxProvider:\\n    name = \\\"twelvedata\\\"\\n\\n    def __init__(self, *, api_key: str | None = None, timeout_seconds: float = 8.0) -> None:\\n        self.api_key = api_key or _runtime_secret_value((\\\"TWELVEDATA_API_KEY\\\", \\\"TWELVE_DATA_API_KEY\\\", \\\"JARVIS_TWELVEDATA_API_KEY\\\", \\\"JARVIS_TWELVE_DATA_API_KEY\\\"))\\n        self.timeout_seconds = timeout_seconds\\n\\n    def get_rate(self, base_currency: str, quote_currency: str, rate_date: str | None = None) -> Decimal | None:\\n        base = base_currency.upper(); quote = quote_currency.upper()\\n        if base == quote:\\n            return Decimal(\\\"1\\\")\\n        if not self.api_key:\\n            raise HistoricalFxUnavailable(\\\"twelvedata_api_key_missing\\\", status=\\\"manual_override_required\\\")\\n        symbol = f\\\"{base}/{quote}\\\"\\n        endpoint = \\\"exchange_rate\\\" if not rate_date or rate_date == \\\"latest\\\" else \\\"time_series\\\"\\n        params = {\\\"symbol\\\": symbol, \\\"apikey\\\": self.api_key}\\n        if endpoint == \\\"time_series\\\":\\n            params.update({\\\"interval\\\": \\\"1day\\\", \\\"start_date\\\": rate_date, \\\"end_date\\\": rate_date, \\\"outputsize\\\": \\\"1\\\"})\\n        url = \\\"https://api.twelvedata.com/\\\" + endpoint + \\\"?\\\" + parse.urlencode(params)\\n        try:\\n            req = request.Request(url, headers={\\\"Accept\\\": \\\"application/json\\\"})\\n            with request.urlopen(req, timeout=self.timeout_seconds) as response:  # noqa: S310 - explicit CLI FX update\\n                payload = json.loads(response.read().decode(\\\"utf-8\\\"))\\n        except error.HTTPError as exc:\\n            if exc.code in {401, 403}:\\n                raise HistoricalFxUnavailable(\\\"twelvedata_auth_failed\\\", status=\\\"forbidden\\\") from exc\\n            if exc.code == 429:\\n                raise HistoricalFxUnavailable(\\\"twelvedata_rate_limited\\\", status=\\\"rate_limited\\\") from exc\\n            raise HistoricalFxUnavailable(\\\"twelvedata_provider_error\\\") from exc\\n        except error.URLError as exc:\\n            raise HistoricalFxUnavailable(\\\"twelvedata_network_error\\\") from exc\\n        if isinstance(payload, dict) and str(payload.get(\\\"status\\\") or \\\"\\\").lower() == \\\"error\\\":\\n            raise HistoricalFxUnavailable(\\\"twelvedata_provider_error\\\")\\n        value = None\\n        if endpoint == \\\"exchange_rate\\\" and isinstance(payload, dict):\\n            value = payload.get(\\\"rate\\\")\\n        elif isinstance(payload, dict):\\n            values = payload.get(\\\"values\\\", [])\\n            if values and isinstance(values[0], dict):\\n                value = values[0].get(\\\"close\\\")\\n        try:\\n            return Decimal(str(value)) if value not in {None, \\\"\\\"} else None\\n        except (InvalidOperation, ValueError):\\n            return None\\n\\n\\ndef fx_provider_by_name(name: str):\\n    key = (name or \\\"\\\").lower().replace(\\\"_\\\", \\\"\\\").replace(\\\"-\\\", \\\"\\\")\\n    if key == \\\"frankfurter\\\":\\n        return FrankfurterFxProvider()\\n    if key in {\\\"twelvedata\\\", \\\"twelvedata\\\"}:\\n        return TwelveDataFxProvider()\\n    if key == \\\"mock\\\":\\n        return MockFxProvider({})\\n    raise ValueError(\\\"unknown fx provider\\\")\\n\"}"
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      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/providers.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/providers.py\\n@@ -72,7 +72,7 @@\\n             raise HistoricalFxUnavailable(\\\"twelvedata_api_key_missing\\\", status=\\\"manual_override_required\\\")\\n         symbol = f\\\"{base}/{quote}\\\"\\n         endpoint = \\\"exchange_rate\\\" if not rate_date or rate_date == \\\"latest\\\" else \\\"time_series\\\"\\n-        params = {\\\"symbol\\\": symbol, \\\"apikey\\\": self.api_key}\\n+        params: dict[str, str] = {\\\"symbol\\\": symbol, \\\"apikey\\\": self.api_key}\\n         if endpoint == \\\"time_series\\\":\\n             params.update({\\\"interval\\\": \\\"1day\\\", \\\"start_date\\\": rate_date, \\\"end_date\\\": rate_date, \\\"outputsize\\\": \\\"1\\\"})\\n         url = \\\"https://api.twelvedata.com/\\\" + endpoint + \\\"?\\\" + parse.urlencode(params)\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/fx/providers.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_58mRRFUwmZvAOUKMUYeO90LV"
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          "id": "rs_0936af5d15b09d05016a08362dcf508191990aca49179cfd7c",
          "summary": []
        }
      ],
      "tool_calls": [
        {
          "id": "call_NnvXCN03MnBn1JE17IPUCbPm",
          "call_id": "call_NnvXCN03MnBn1JE17IPUCbPm",
          "response_item_id": "fc_0936af5d15b09d05016a08362e72348191a7fd910f451aa314",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"from jarvis_finance.fx.providers import FrankfurterFxProvider, MockFxProvider, TwelveDataFxProvider, fx_provider_by_name\",\"old_string\":\"from jarvis_finance.fx.providers import MockFxProvider\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -5,7 +5,7 @@\\n from pathlib import Path\\n \\n from jarvis_finance.config.settings import ensure_runtime_dirs, load_settings\\n-from jarvis_finance.fx.providers import MockFxProvider\\n+from jarvis_finance.fx.providers import FrankfurterFxProvider, MockFxProvider, TwelveDataFxProvider, fx_provider_by_name\\n from jarvis_finance.fx.rates import recheck_transaction_fx_status, update_fx_rates\\n from jarvis_finance.imports.instrument_candidates import qwen_resolve_staged_candidates, stage_docx_candidates\\n from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_NnvXCN03MnBn1JE17IPUCbPm"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_u7vQdDpK35Z3rrPcrFEQzX2J",
          "call_id": "call_u7vQdDpK35Z3rrPcrFEQzX2J",
          "response_item_id": "fc_0936af5d15b09d05016a08363431208191b75b0faf4c13e753",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"from jarvis_finance.market_data.prices import FmpEquityPriceProvider, MockEquityPriceProvider, equity_price_provider_by_name, refresh_market_prices\",\"old_string\":\"from jarvis_finance.market_data.prices import FmpEquityPriceProvider, MockEquityPriceProvider, refresh_market_prices\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -11,7 +11,7 @@\\n from jarvis_finance.market.providers import CoinGeckoClient, refresh_crypto_prices\\n from jarvis_finance.market_data.candidates import CompositePublicLookupProvider, EmptyLookupProvider, dedupe_missing_provider_symbol_alerts, export_mapping_decision_pack, export_mapping_review_template, generate_mapping_candidates, recalculate_candidate_rankings\\n from jarvis_finance.market_data.catalog import prepare_catalog_from_instruments\\n-from jarvis_finance.market_data.prices import FmpEquityPriceProvider, MockEquityPriceProvider, refresh_market_prices\\n+from jarvis_finance.market_data.prices import FmpEquityPriceProvider, MockEquityPriceProvider, equity_price_provider_by_name, refresh_market_prices\\n from jarvis_finance.quality.data_quality import check_crypto_data_quality\\n from jarvis_finance.quality.git_safety import assert_safe, scan_path\\n from jarvis_finance.runtime.backup import backup_runtime_db, restore_runtime_db, verify_backup\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\\">\\nERROR [14:96] \\\"equity_price_provider_by_name\\\" is unknown import symbol [reportAttributeAccessIssue] (Pyright)\\n</diagnostics>\"}",
      "tool_call_id": "call_u7vQdDpK35Z3rrPcrFEQzX2J"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Troubleshooting Pyright**\n\nI’m wondering if Pyright isn’t recognizing something due to a syntax issue. It’s possible I need to revisit the code to check for any small errors that might affect the functionality. Could it be something related to how I'm using the command-line arguments? I’ll need to keep that in mind as I look into it further. Alright, time to dig deeper into the code and see what’s going on with Pyright!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Troubleshooting Pyright**\n\nI’m wondering if Pyright isn’t recognizing something due to a syntax issue. It’s possible I need to revisit the code to check for any small errors that might affect the functionality. Could it be something related to how I'm using the command-line arguments? I’ll need to keep that in mind as I look into it further. Alright, time to dig deeper into the code and see what’s going on with Pyright!",
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          "summary": [
            {
              "type": "summary_text",
              "text": "**Troubleshooting Pyright**\n\nI’m wondering if Pyright isn’t recognizing something due to a syntax issue. It’s possible I need to revisit the code to check for any small errors that might affect the functionality. Could it be something related to how I'm using the command-line arguments? I’ll need to keep that in mind as I look into it further. Alright, time to dig deeper into the code and see what’s going on with Pyright!"
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      ],
      "tool_calls": [
        {
          "id": "call_79qcsEBLwdgayDUMXV0psNaS",
          "call_id": "call_79qcsEBLwdgayDUMXV0psNaS",
          "response_item_id": "fc_0936af5d15b09d05016a08363dba6881919cae8b230403ddfc",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    fx.add_argument(\\\"--provider\\\", choices=[\\\"frankfurter\\\", \\\"twelvedata\\\", \\\"mock\\\"], default=\\\"frankfurter\\\")\\n    fx.add_argument(\\\"--mock-rate\\\", action=\\\"append\\\", default=[], help=\\\"Test-only BASE=RATE, e.g. USD=0.9\\\")\",\"old_string\":\"    fx.add_argument(\\\"--mock-rate\\\", action=\\\"append\\\", default=[], help=\\\"Test-only BASE=RATE, e.g. USD=0.9\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -50,6 +50,7 @@\\n     fx.add_argument(\\\"--missing-only\\\", action=\\\"store_true\\\")\\n     fx.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n     fx.add_argument(\\\"--currency\\\", action=\\\"append\\\", dest=\\\"currencies\\\")\\n+    fx.add_argument(\\\"--provider\\\", choices=[\\\"frankfurter\\\", \\\"twelvedata\\\", \\\"mock\\\"], default=\\\"frankfurter\\\")\\n     fx.add_argument(\\\"--mock-rate\\\", action=\\\"append\\\", default=[], help=\\\"Test-only BASE=RATE, e.g. USD=0.9\\\")\\n     fx.add_argument(\\\"--recheck-transactions\\\", action=\\\"store_true\\\")\\n     fx.add_argument(\\\"--source-type\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_79qcsEBLwdgayDUMXV0psNaS"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_PnsxfEZjEPp5AYbLuyykd4TW",
          "call_id": "call_PnsxfEZjEPp5AYbLuyykd4TW",
          "response_item_id": "fc_0936af5d15b09d05016a0836424efc8191a1be0bb777dee1ec",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"    equity_prices.add_argument(\\\"--provider\\\", choices=[\\\"fmp\\\", \\\"twelvedata\\\", \\\"finnhub\\\", \\\"massive\\\", \\\"eodhd\\\", \\\"mock\\\"], default=\\\"fmp\\\")\\n    equity_prices.add_argument(\\\"--allow-low-volume\\\", action=\\\"store_true\\\", help=\\\"Allow explicit low-volume providers such as EODHD\\\")\\n    equity_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\",\"old_string\":\"    equity_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -71,6 +71,8 @@\\n     equity_prices.add_argument(\\\"--limit\\\", type=int)\\n     equity_prices.add_argument(\\\"--dry-run\\\", action=\\\"store_true\\\")\\n     equity_prices.add_argument(\\\"--date\\\", dest=\\\"price_date\\\")\\n+    equity_prices.add_argument(\\\"--provider\\\", choices=[\\\"fmp\\\", \\\"twelvedata\\\", \\\"finnhub\\\", \\\"massive\\\", \\\"eodhd\\\", \\\"mock\\\"], default=\\\"fmp\\\")\\n+    equity_prices.add_argument(\\\"--allow-low-volume\\\", action=\\\"store_true\\\", help=\\\"Allow explicit low-volume providers such as EODHD\\\")\\n     equity_prices.add_argument(\\\"--mock-price\\\", action=\\\"append\\\", default=[], help=\\\"Test-only SYMBOL=PRICE\\\")\\n     catalog = sub.add_parser(\\\"prepare-instrument-catalog\\\")\\n     catalog.add_argument(\\\"--source\\\", default=\\\"true_wealth\\\")\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_PnsxfEZjEPp5AYbLuyykd4TW"
    },
    {
      "role": "assistant",
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      "reasoning": null,
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      "tool_calls": [
        {
          "id": "call_T8joj7HFMHed0GSOzqZcrq9h",
          "call_id": "call_T8joj7HFMHed0GSOzqZcrq9h",
          "response_item_id": "fc_0936af5d15b09d05016a08364936e0819196f370b7db7d9e64",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"            if args.mock_rate or args.provider == \\\"mock\\\":\\n                provider = MockFxProvider(mock_rates)\\n            elif args.provider == \\\"twelvedata\\\":\\n                provider = TwelveDataFxProvider()\\n            else:\\n                provider = FrankfurterFxProvider()\\n            result = update_fx_rates(conn, provider=provider, currencies=currencies, rate_date=args.rate_date or \\\"latest\\\", latest=args.latest, missing_only=args.missing_only, dry_run=args.dry_run)\",\"old_string\":\"            provider = MockFxProvider(mock_rates)\\n            result = update_fx_rates(conn, provider=provider, currencies=currencies, rate_date=args.rate_date or \\\"latest\\\", latest=args.latest, missing_only=args.missing_only, dry_run=args.dry_run)\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -183,7 +183,12 @@\\n                 base, rate = item.split(\\\"=\\\", 1)\\n                 mock_rates[(base.upper(), \\\"CHF\\\", args.rate_date or \\\"latest\\\")] = Decimal(rate)\\n             currencies = args.currencies or sorted({r[\\\"currency_original\\\"] for r in conn.execute(\\\"SELECT DISTINCT currency_original FROM transactions WHERE currency_original IS NOT NULL\\\").fetchall()})\\n-            provider = MockFxProvider(mock_rates)\\n+            if args.mock_rate or args.provider == \\\"mock\\\":\\n+                provider = MockFxProvider(mock_rates)\\n+            elif args.provider == \\\"twelvedata\\\":\\n+                provider = TwelveDataFxProvider()\\n+            else:\\n+                provider = FrankfurterFxProvider()\\n             result = update_fx_rates(conn, provider=provider, currencies=currencies, rate_date=args.rate_date or \\\"latest\\\", latest=args.latest, missing_only=args.missing_only, dry_run=args.dry_run)\\n             print(\\n                 \\\"FX_RATE_UPDATE \\\"\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\\">\\nERROR [187:43] Argument of type \\\"dict[tuple[str, str, str], Decimal | None]\\\" cannot be assigned to parameter \\\"rates\\\" of type \\\"dict[tuple[str, str, str], Decimal | str | None]\\\" in function \\\"__init__\\\"\\n  \\\"dict[tuple[str, str, str], Decimal | None]\\\" is not assignable to \\\"dict[tuple[str, str, str], Decimal | str | None]\\\"\\n    Type parameter \\\"_VT@dict\\\" is invariant, but \\\"Decimal | None\\\" is not the same as \\\"Decimal | str | None\\\"\\n    Consider switching from \\\"dict\\\" to \\\"Mapping\\\" which is covariant in the value type [reportArgumentType] (Pyright)\\n</diagnostics>\"}",
      "tool_call_id": "call_T8joj7HFMHed0GSOzqZcrq9h"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
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      "tool_calls": [
        {
          "id": "call_PC1vVCUkkAffbtv7PJbufbft",
          "call_id": "call_PC1vVCUkkAffbtv7PJbufbft",
          "response_item_id": "fc_0936af5d15b09d05016a083651e1608191baeaf0f3e354b4b4",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"new_string\":\"            if args.command == \\\"update-market-prices\\\":\\n                provider = MockEquityPriceProvider(prices)\\n            elif prices or args.provider == \\\"mock\\\":\\n                provider = MockEquityPriceProvider(prices)\\n            elif args.provider == \\\"eodhd\\\" and not args.allow_low_volume:\\n                parser.error(\\\"EODHD is low-volume; pass --provider eodhd --allow-low-volume explicitly\\\")\\n            else:\\n                provider = equity_price_provider_by_name(args.provider)\\n            asset_classes = [\\\"stock\\\", \\\"etf\\\"] if args.command == \\\"update-equity-prices\\\" and args.asset_class == \\\"all\\\" else [\\\"stock\\\" if args.asset_class == \\\"equity\\\" else args.asset_class]\",\"old_string\":\"            provider = MockEquityPriceProvider(prices) if prices or args.command == \\\"update-market-prices\\\" else FmpEquityPriceProvider()\\n            asset_classes = [\\\"stock\\\", \\\"etf\\\"] if args.command == \\\"update-equity-prices\\\" and args.asset_class == \\\"all\\\" else [\\\"stock\\\" if args.asset_class == \\\"equity\\\" else args.asset_class]\",\"path\":\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n+++ b//home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\\n@@ -209,7 +209,14 @@\\n             for item in args.mock_price:\\n                 symbol, price = item.split(\\\"=\\\", 1)\\n                 prices[symbol.upper()] = Decimal(price)\\n-            provider = MockEquityPriceProvider(prices) if prices or args.command == \\\"update-market-prices\\\" else FmpEquityPriceProvider()\\n+            if args.command == \\\"update-market-prices\\\":\\n+                provider = MockEquityPriceProvider(prices)\\n+            elif prices or args.provider == \\\"mock\\\":\\n+                provider = MockEquityPriceProvider(prices)\\n+            elif args.provider == \\\"eodhd\\\" and not args.allow_low_volume:\\n+                parser.error(\\\"EODHD is low-volume; pass --provider eodhd --allow-low-volume explicitly\\\")\\n+            else:\\n+                provider = equity_price_provider_by_name(args.provider)\\n             asset_classes = [\\\"stock\\\", \\\"etf\\\"] if args.command == \\\"update-equity-prices\\\" and args.asset_class == \\\"all\\\" else [\\\"stock\\\" if args.asset_class == \\\"equity\\\" else args.asset_class]\\n             totals = []\\n             exit_code = 0\\n\", \"files_modified\": [\"/home/agent/.hermes/repos/FinanceManager/src/jarvis_finance/cli/main.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_PC1vVCUkkAffbtv7PJbufbft"
    },
    {
      "role": "assistant",
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      "content": "{\"content\": \"     1|from __future__ import annotations\\n     2|\\n     3|from decimal import Decimal\\n     4|\\n     5|import pytest\\n     6|\\n     7|from jarvis_finance.equity.manage import (\\n     8|    add_equity_initial_snapshot,\\n     9|    add_equity_transaction,\\n    10|    add_manual_position_from_catalog,\\n    11|    create_manual_catalog_entry,\\n    12|    get_equity_management_options,\\n    13|    search_instrument_candidates,\\n    14|)\\n    15|from jarvis_finance.ledger.positions import calculate_positions\\n    16|from jarvis_finance.market_data.catalog import CatalogSearchResult, instrument_provider_statuses\\n    17|from jarvis_finance.market_data.prices import FmpEquityPriceProvider, MockEquityPriceProvider, refresh_market_prices, store_market_price\\n    18|from jarvis_finance.storage.database import connect_memory\\n    19|from jarvis_finance.storage.migrations import apply_migrations\\n    20|\\n    21|\\n    22|def setup_conn():\\n    23|    conn = connect_memory()\\n    24|    apply_migrations(conn)\\n    25|    return conn\\n    26|\\n    27|\\n    28|def seed_account(conn, platform_name: str = \\\"Synthetic PostFinance\\\") -> str:\\n    29|    platform_id = f\\\"platform-{platform_name.lower().replace(' ', '-')}\\\"\\n    30|    account_id = f\\\"account-{platform_name.lower().replace(' ', '-')}\\\"\\n    31|    conn.execute(\\n    32|        \\\"INSERT INTO platforms(platform_id, name, platform_type, country, default_currency, created_at) VALUES (?, ?, 'broker', 'CH', 'CHF', '2026-01-01')\\\",\\n    33|        (platform_id, platform_name),\\n    34|    )\\n    35|    conn.execute(\\n    36|        \\\"INSERT INTO accounts(account_id, platform_id, account_name, account_type, currency, created_at) VALUES (?, ?, 'Synthetic Depot', 'brokerage', 'CHF', '2026-01-01')\\\",\\n    37|        (account_id, platform_id),\\n    38|    )\\n    39|    conn.commit()\\n    40|    return account_id\\n    41|\\n    42|\\n    43|def audit_count(conn, action: str) -> int:\\n    44|    return conn.execute(\\\"SELECT COUNT(*) AS c FROM audit_log WHERE action=?\\\", (action,)).fetchone()[\\\"c\\\"]\\n    45|\\n    46|\\n    47|def test_add_stock_initial_snapshot_creates_instrument_transaction_and_audit() -> None:\\n    48|    conn = setup_conn()\\n    49|    account_id = seed_account(conn)\\n    50|\\n    51|    result = add_equity_initial_snapshot(\\n    52|        conn,\\n    53|        account_id=account_id,\\n    54|        asset_class=\\\"stock\\\",\\n    55|        name=\\\"Synthetic Nestle\\\",\\n    56|        isin=\\\"CH0038863350\\\",\\n    57|        ticker=\\\"NESN\\\",\\n    58|        exchange=\\\"SIX\\\",\\n    59|        currency=\\\"CHF\\\",\\n    60|        quantity_text=\\\"3.5\\\",\\n    61|        cost_basis_original_text=\\\"350.00\\\",\\n    62|        snapshot_date=\\\"2025-12-31\\\",\\n    63|        category=\\\"Core\\\",\\n    64|        note=\\\"synthetic incomplete history accepted\\\",\\n    65|        confirm=True,\\n    66|    )\\n    67|\\n    68|    tx = conn.execute(\\\"SELECT * FROM transactions WHERE transaction_id=?\\\", (result.transaction_id,)).fetchone()\\n    69|    instrument = conn.execute(\\\"SELECT * FROM instruments WHERE instrument_id=?\\\", (result.instrument_id,)).fetchone()\\n    70|    assert tx[\\\"transaction_type\\\"] == \\\"initial_position_snapshot\\\"\\n    71|    assert tx[\\\"quantity\\\"] == \\\"3.5\\\"\\n    72|    assert tx[\\\"gross_amount_original\\\"] == \\\"350.00\\\"\\n    73|    assert tx[\\\"fx_rate_to_chf\\\"] == \\\"1\\\"\\n    74|    assert tx[\\\"fx_status\\\"] == \\\"ok\\\"\\n    75|    assert instrument[\\\"isin\\\"] == \\\"CH0038863350\\\"\\n    76|    assert instrument[\\\"asset_class\\\"] == \\\"stock\\\"\\n    77|    assert instrument[\\\"position_category\\\"] == \\\"Core\\\"\\n    78|    assert audit_count(conn, \\\"equity_initial_position_snapshot\\\") == 1\\n    79|    assert result.warnings == []\\n    80|\\n    81|\\n    82|def test_add_etf_initial_snapshot_prepares_optional_etf_fields() -> None:\\n    83|    conn = setup_conn()\\n    84|    account_id = seed_account(conn, \\\"Synthetic True Wealth\\\")\\n    85|\\n    86|    result = add_equity_initial_snapshot(\\n    87|        conn,\\n    88|        account_id=account_id,\\n    89|        asset_class=\\\"ETF\\\",\\n    90|        name=\\\"Synthetic World ETF\\\",\\n    91|        isin=\\\"IE00B4L5Y983\\\",\\n    92|        ticker=\\\"SWLD\\\",\\n    93|        exchange=\\\"LSE\\\",\\n    94|        currency=\\\"USD\\\",\\n    95|        quantity_text=\\\"10\\\",\\n    96|        cost_basis_original_text=\\\"1000.00\\\",\\n    97|        snapshot_date=\\\"2025-12-31\\\",\\n    98|        category=\\\"Core\\\",\\n    99|        note=\\\"synthetic ETF snapshot with known FX\\\",\\n   100|        fx_rate_to_chf_text=\\\"0.91\\\",\\n   101|        fx_source=\\\"synthetic fixture\\\",\\n   102|        ter_text=\\\"0.20\\\",\\n   103|        distribution_policy=\\\"accumulating\\\",\\n   104|        index_name=\\\"MSCI World Synthetic\\\",\\n   105|        fund_domicile=\\\"IE\\\",\\n   106|        benchmark=\\\"Synthetic Benchmark\\\",\\n   107|        confirm=True,\\n   108|    )\\n   109|\\n   110|    instrument = conn.execute(\\\"SELECT * FROM instruments WHERE instrument_id=?\\\", (result.instrument_id,)).fetchone()\\n   111|    tx = conn.execute(\\\"SELECT * FROM transactions WHERE transaction_id=?\\\", (result.transaction_id,)).fetchone()\\n   112|    assert instrument[\\\"ter\\\"] == \\\"0.20\\\"\\n   113|    assert instrument[\\\"distribution_policy\\\"] == \\\"accumulating\\\"\\n   114|    assert instrument[\\\"index_name\\\"] == \\\"MSCI World Synthetic\\\"\\n   115|    assert instrument[\\\"fund_domicile\\\"] == \\\"IE\\\"\\n   116|    assert instrument[\\\"benchmark\\\"] == \\\"Synthetic Benchmark\\\"\\n   117|    assert tx[\\\"currency_original\\\"] == \\\"USD\\\"\\n   118|    assert tx[\\\"fx_rate_to_chf\\\"] == \\\"0.91\\\"\\n   119|    assert tx[\\\"gross_amount_chf\\\"] == \\\"910.0000\\\"\\n   120|\\n   121|\\n   122|def test_usd_stock_requires_fx_or_explicit_missing_status_alert() -> None:\\n   123|    conn = setup_conn()\\n   124|    account_id = seed_account(conn, \\\"Synthetic Raiffeisen\\\")\\n   125|\\n   126|    result = add_equity_initial_snapshot(\\n   127|        conn,\\n   128|        account_id=account_id,\\n   129|        asset_class=\\\"stock\\\",\\n   130|        name=\\\"Synthetic US Stock\\\",\\n   131|        isin=\\\"US0378331005\\\",\\n   132|        ticker=\\\"AAPL\\\",\\n   133|        exchange=\\\"NASDAQ\\\",\\n   134|        currency=\\\"USD\\\",\\n   135|        quantity_text=\\\"2\\\",\\n   136|        cost_basis_original_text=\\\"400.00\\\",\\n   137|        snapshot_date=\\\"2025-12-31\\\",\\n   138|        category=\\\"Opportunity\\\",\\n   139|        note=\\\"synthetic missing FX accepted for review\\\",\\n   140|        fx_status=\\\"missing\\\",\\n   141|        confirm=True,\\n   142|    )\\n   143|\\n   144|    tx = conn.execute(\\\"SELECT * FROM transactions WHERE transaction_id=?\\\", (result.transaction_id,)).fetchone()\\n   145|    assert tx[\\\"fx_status\\\"] == \\\"missing\\\"\\n   146|    assert tx[\\\"gross_amount_chf\\\"] is None\\n   147|    assert \\\"missing_fx\\\" in result.warnings\\n   148|    assert conn.execute(\\\"SELECT COUNT(*) AS c FROM alerts WHERE rule_id='missing_fx'\\\").fetchone()[\\\"c\\\"] == 1\\n   149|\\n   150|\\n   151|def test_sell_reduces_position_and_blocks_negative() -> None:\\n   152|    conn = setup_conn()\\n   153|    account_id = seed_account(conn)\\n   154|    snap = add_equity_initial_snapshot(\\n   155|        conn,\\n   156|        account_id=account_id,\\n   157|        asset_class=\\\"stock\\\",\\n   158|        name=\\\"Synthetic Sellable\\\",\\n   159|        isin=\\\"CH0000000001\\\",\\n   160|        ticker=\\\"SYN\\\",\\n   161|        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