{
"session_id": "20260601_131036_554bcc",
"model": "deepseek-v4-pro",
"base_url": "https://ollama.com/v1",
"platform": "telegram",
"session_start": "2026-06-01T13:10:36.186357",
"last_updated": "2026-06-01T13:13:40.194774",
"system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\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. 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. 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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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══════════════════════════════════════════════\nMEMORY (your personal notes) [84% — 1,867/2,200 chars]\n══════════════════════════════════════════════\n`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\n§\nZimaOS Docker: DOCKER_CONFIG=/tmp/docker-config (root/.docker read-only). compose up/down nur aus App-Verzeichnis. Camofox: Container camofox-browser:135.0.1, Ports 9377/6080, Compose /DATA/AppData/camofox-compose/, Persistenz /DATA/AppData/camofox. Hermes: CAMOFOX_URL=http://127.0.0.1:9377, managed_persistence:true, browser-Toolset aktiv. Skill: zimaos-camofox-browser. CallKeep: /media/HDD_1TB/CallKeep/, Port 3002.\n§\nAhmed uses Ollama Cloud Pro ($20/mo, NOT local Ollama). Base URL: https://ollama.com/v1. 3 concurrent model limit. Setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary + CCR coding), gemma3:4b (vision). Never add 4th model (404).\n§\nKiwi avatar: wizard kiwi bird by Zeyd. /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n§\nGateway recovery: check TELEGRAM_BOT_TOKEN + TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, gateway section in /DATA/AppData/hermes/config.yaml, stale PID/lock in /DATA/AppData/hermes/.\n§\nBachelorarbeit: Nur noch Kalss (Unternehmensrecht), Grabenwarter gestrichen. Frist 1.–10. Juni 2026, Bewerbung an sandra.schwarz@wu.ac.at.\n§\nPraktische/logistische Fragen zuerst logisch durchdenken, bevor ein Witz kommt. Bei \"Soll ich mit Auto oder zu Fuß zur Waschanlage?\" erst prüfen: Das Auto MUSS zur Waschanlage, also ist die Antwort \"Auto fahren\". Witz erst danach, nicht stattdessen.\n§\nGoogle OAuth token expires every ~7 days (Testing-mode project). Proactively check auth with `python /DATA/.hermes/skills/productivity/google-workspace/scripts/setup.py --check` at session start when Google calendar/gmail will be needed. Don't wait for the API call to fail.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,367/1,375 chars]\n══════════════════════════════════════════════\nProject dirs: /DATA/AppData/hermes/projects/ and /DATA/AppData/hermes/work/. (Note: \"Projekte\" folder deleted — now using \"projects\" exclusively.)\n§\nUser: Ahmed Zeyd Aytac. Calls me 'Kiwi'. Wants to be addressed as 'Boss' or 'Chef' — never 'Ahmed'. If using his name, use 'Zeyd' only.\n§\nUser's location is Wien (Vienna), Austria. When asked about weather, use this location by default.\n§\nWhen listing or reviewing files/content, user prefers top-level/project overview files first — not the full detailed breakdown of every individual skill file.\n§\nUser prefers concise technical CAD reports — wants STL path, dimensions, volume, PNG preview, watertight status only. Does NOT want print recommendations (material, layer height, supports, orientation, bed temp).\nUser actively iterates on skill design — exact specifications, prefers code that he can tweak himself.\n§\nUser does not want end-of-session skill reviews. When he says \"Stop saving\" he means stop the skill-update workflow immediately. Do not ask to review or save skills at session end.\n§\nUser wants YOLO mode permanently on — `approvals.mode: off` set in config.yaml. Never ask for command approval; just execute. (Doesn't override hardline blocklist: reboot, shutdown still blocked.)\n§\nUser wants responses without any header/separator lines (\"Text überhalb von den Linien\"). Clean, direct messages only.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n 3d-printing:\n - 3d-druck-kiwi: Vollständiger Workflow zum Erstellen druckbarer 3D-Modell...\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 - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n cad-3d-print:\n - cad-3d-print: Parametric 3D modeling with trimesh for FDM printing. Gen...\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 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 + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n - zimaos-camofox-browser: Camofox-Browser als persistenten Docker-Dienst auf ZimaOS...\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\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 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 - media-file-management: Organize and normalize local media files (movies, TV show...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-automation: Zero-cost headless YouTube video factory: Reddit sourcing...\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - youtube-headless-pipeline: Vollautomatische YouTube-Shorts-Pipeline: Reddit-Stories ...\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 vaul...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - daily-dose: Modify DailyDose (täglicher Aktivitäten-Tracker PWA) — Ka...\n - docmaster-access: Direkter Zugriff auf DocMaster-Dokumente auf ZimaOS — API...\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - mnemo-access: Direkter Zugriff auf Mnemo (Cartographer's Zettelkasten) ...\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 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 - academic-research: Research professors, extract/publications, analyze resear...\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 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 - zimaos-web-app: Build small single-file web apps for ZimaOS using FastAPI...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Monday, June 01, 2026 01:10 PM\nModel: deepseek-v4-pro\nProvider: custom\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format  and they will be sent as native photos.",
"tools": [
{
"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": "skill_manage",
"description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"create",
"patch",
"edit",
"delete",
"write_file",
"remove_file"
],
"description": "The action to perform."
},
"name": {
"type": "string",
"description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
},
"content": {
"type": "string",
"description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
},
"old_string": {
"type": "string",
"description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
},
"category": {
"type": "string",
"description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
},
"file_path": {
"type": "string",
"description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
},
"file_content": {
"type": "string",
"description": "Content for the file. Required for 'write_file'."
},
"absorbed_into": {
"type": "string",
"description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
}
},
"required": [
"action",
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skill_view",
"description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
"parameters": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
},
"file_path": {
"type": "string",
"description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
}
},
"required": [
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skills_list",
"description": "List available skills (name + description). Use skill_view(name) to load full content.",
"parameters": {
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter to narrow results"
}
}
}
}
}
],
"message_count": 93,
"messages": [
{
"role": "user",
"content": "Und wenn jetzt eine Partei in Insolvenz gerät, kann dann ihre Hälfte verwertet werden? Bitte ordentlich recherchieren"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_0nj1mref",
"call_id": "call_0nj1mref",
"response_item_id": "fc_0nj1mref",
"type": "function",
"function": {
"name": "session_search",
"arguments": "{\"query\":\"Bachelorarbeit Unternehmensrecht Kalss Insolvenz Verwertung\",\"limit\":3}"
}
},
{
"id": "call_02ps0mxb",
"call_id": "call_02ps0mxb",
"response_item_id": "fc_02ps0mxb",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"research/academic-research\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The user is asking about what happens to a party's share in a partnership when that party becomes insolvent - specifically whether their \"half\" (share) can be liquidated/realized. This is about Austrian corporate/partnership law (\"Unternehmensrecht\"). The user is writing a Bachelorarbeit (bachelor's thesis) and this topic relates to Unternehmensrecht with Professor Kalss.\n\nLet me think about what this could refer to. They're asking about a \"Partei\" (party) in some kind of partnership/company structure, and whether their \"Hälfte\" (half/share) can be \"verwertet\" (realized/liquidated) when the party becomes insolvent.\n\nThis sounds like it's about:\n- OG (Offene Gesellschaft) \n- KG (Kommanditgesellschaft)\n- GesBR (Gesellschaft bürgerlichen Rechts)\n- Possibly GmbH\n\nThe user previously mentioned their Bachelorarbeit topics include Kalss (Unternehmensrecht) and that Grabenwarter was removed. Let me search for context about what exactly they're writing about.\n\nLet me search for past conversations about this thesis topic to understand the context better, and also do legal research on Austrian insolvency law regarding partnerships.\n\nLet me also load the academic-research skill since this requires proper legal research.",
"reasoning_content": "The user is asking about what happens to a party's share in a partnership when that party becomes insolvent - specifically whether their \"half\" (share) can be liquidated/realized. This is about Austrian corporate/partnership law (\"Unternehmensrecht\"). The user is writing a Bachelorarbeit (bachelor's thesis) and this topic relates to Unternehmensrecht with Professor Kalss.\n\nLet me think about what this could refer to. They're asking about a \"Partei\" (party) in some kind of partnership/company structure, and whether their \"Hälfte\" (half/share) can be \"verwertet\" (realized/liquidated) when the party becomes insolvent.\n\nThis sounds like it's about:\n- OG (Offene Gesellschaft) \n- KG (Kommanditgesellschaft)\n- GesBR (Gesellschaft bürgerlichen Rechts)\n- Possibly GmbH\n\nThe user previously mentioned their Bachelorarbeit topics include Kalss (Unternehmensrecht) and that Grabenwarter was removed. Let me search for context about what exactly they're writing about.\n\nLet me search for past conversations about this thesis topic to understand the context better, and also do legal research on Austrian insolvency law regarding partnerships.\n\nLet me also load the academic-research skill since this requires proper legal research."
},
{
"role": "tool",
"content": "{\"success\": true, \"query\": \"Bachelorarbeit Unternehmensrecht Kalss Insolvenz Verwertung\", \"results\": [], \"count\": 0, \"message\": \"No matching sessions found.\"}",
"tool_call_id": "call_0nj1mref"
},
{
"role": "tool",
"content": "{\"success\": true, \"name\": \"academic-research\", \"description\": \"Research professors, extract/publications, analyze research interests, and develop thesis/Bachelorarbeit topics — optimized for Austrian legal academia (WU Wien, RIS, Jina.ai workaround).\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: academic-research\\ndescription: Research professors, extract/publications, analyze research interests, and develop thesis/Bachelorarbeit topics — optimized for Austrian legal academia (WU Wien, RIS, Jina.ai workaround).\\n---\\n\\n# Academic Research — Professor & Thesis Research\\n\\nResearch workflow for academic tasks: profile a professor, extract their publications, analyze research focus, and develop thesis topics that align with their expertise.\\n\\n## Triggers\\n\\n- Researching a professor (profile, publications, research interests)\\n- Finding sources/literature for a Bachelorarbeit, Masterarbeit, or seminar paper\\n- Analyzing publication history to predict which topics a professor would supervise\\n- Extracting publications from university websites (especially WU Wien)\\n\\n---\\n\\n## Step 1: Find Professor Profile\\n\\nWU Wien uses SPA-based pages that return empty bodies to direct `curl`. Workaround:\\n\\n```\\ncurl -sL \\\"https://r.jina.ai/https://www.wu.ac.at/...\\\" -H \\\"Accept: text/plain\\\"\\n```\\n\\nStart from the institute page (`/unternehmensrecht/institut/...`) to discover the correct profile URL, then extract from the subpages:\\n- **Profile**: `/institut/.../prof-kalss` → name, title, email, phone, research areas\\n- **Publications**: `/institut/.../forschungsaktivitaeten` → massive list of books + articles\\n- **Abschlussarbeiten**: `/institut/.../abschlussarbeiten/bewerbung` → application procedure, deadlines\\n\\nPitfall: WU pages are navigation-heavy; Jina captures the full nav tree. Filter aggressively.\\n\\n---\\n\\n## Step 2: Extract Publications\\n\\nThe WU Forschungsaktivitäten page lists publications as:\\n\\n```\\n2025**Kalss, Susanne, Probst, Stephan.** 2025. Familienunternehmen. [Mehr erfahren](link)\\n```\\n\\n**Parsing approach** (Python):\\n\\n```python\\nimport re\\n\\n# Extract all year+block pairs\\npub_blocks = re.findall(r'(\\\\d{4})\\\\*\\\\*(.+?)(?=\\\\n\\\\d{4}\\\\*\\\\*|\\\\n##|\\\\Z)', text, re.DOTALL)\\n\\nfor year, block in pub_blocks:\\n block = re.sub(r'\\\\[Mehr erfahren\\\\]\\\\([^)]+\\\\)', '', block) # Remove links\\n lines = [l.strip() for l in block.split('\\\\n') if l.strip() and 'Kalss' in l]\\n for line in lines:\\n line = re.sub(r'\\\\*\\\\*', '', line)\\n is_book = 'In:' not in line and 'Hrsg.' not in line\\n # is_book → Monographie/Kommentar\\n # else → Aufsatz/Beitrag\\n```\\n\\nDeduplicate with a `set()` on the full line text.\\n\\n---\\n\\n## Step 3: Topic Analysis\\n\\nClassify publications into topic areas by keyword matching:\\n\\n```python\\ntopics = {\\n 'Gesellschaftsrecht': ['gesellschaftsrecht', 'aktg', 'gmbh', 'flexco', 'aktiengesellschaft', 'mehrstimmrecht'],\\n 'Aufsichtsrat': ['aufsichtsrat', 'corporate governance', 'beirat', 'compliance'],\\n 'Kapitalmarktrecht': ['kapitalmarkt', 'börse', 'anleger', 'wertpapier', 'übernahmerecht'],\\n 'Stiftungsrecht': ['stiftung', 'privatstiftung', 'stiftungsvorstand'],\\n 'Nachhaltigkeit/ESG': ['nachhaltigkeit', 'klima', 'csddd', 'lieferkette'],\\n # ... add more as needed\\n}\\n```\\n\\nCount per topic and per year; look for *recent* clusters (2023+) as indicators of active interest.\\n\\n---\\n\\n## Step 4: Topic Selection Strategy\\n\\nFor thesis topics that maximize acceptance chance:\\n\\n1. **Highest volume** → safest (professor has written most about this, you can cite them heavily)\\n2. **Recent activity** → highest interest (they're currently building this area)\\n3. **Cross-cutting topics** → best of both worlds (bridges two of their established fields)\\n\\nFor Kalss specifically:\\n- Aufsichtsrat: 91 publications, 44 since 2016 → safest\\n- Nachhaltigkeit/ESG: 11 publications, all from 2022–2025 → her current passion\\n- Mehrstimmrechte: 36 publications, co-authored with Hopt → prestige connection\\n\\n---\\n\\n## Austrian Legal Research: Source Strategy\\n\\n### RIS (Rechtsinformationssystem des Bundes) — DO NOT USE\\n\\nRIS at `ris.bka.gv.at` is **completely broken for programmatic access**. Every approach fails:\\n\\n- **GeltendeFassung.wxe** returns 404 for valid Gesetzesnummern (e.g. WEG 2002: 20000724) — \\\"nicht mehr oder noch nicht in Kraft\\\" even when the law is in force. Jina.ai captures only this error message.\\n- **Dokument.wxe** with NOR-nummer (e.g. NOR40252684) returns **random wrong documents** — an ABGB query returned \\\"Land- und forstwirtschaftliche Verordnung biologische Arbeitsstoffe § 10\\\"\\n- **ELI URLs** (`/eli/bgbl/I/2002/70/P13/...`) redirect to completely wrong laws (e.g. \\\"Limit-Verordnung 2012/13\\\" instead of WEG § 13)\\n- **OGH decision search** (`Ergebnis.wxe?Abfrage=Justiz`) returns ASP.NET ViewState pages — Geschäftszahlen and titles are buried in postback-dependent JavaScript, unextractable by curl or Jina\\n- **HTML-only URLs** (`/Dokumente/Bundesnormen/NOR.../NOR....html`) return 44 KB pages with zero text content after tag stripping — just navigation and JavaScript\\n- **Jina.ai** captures only the navigation sidebar, not document content, because RIS is a SPA that renders content client-side via ViewState postbacks\\n\\n### Workflow for Austrian Legal Research (USE THIS)\\n\\n```\\n1. JUSLINE.at → Gesetzestext im Volltext (immer treffer, direkt verlinkbar)\\n2. delegate_task mit web-Toolset → OGH-Rechtsprechung + Fachliteratur finden\\n3. Ergebnis als Markdown-Gutachten in /tmp/ speichern lassen\\n4. Gutachten lesen + Quellen prüfen, dann als Antwort formatieren\\n```\\n\\n### 1. JUSLINE.at — Primary Source for Gesetzestexte\\n\\nDirectly linkable, always returns current text. URL pattern:\\n- `https://www.jusline.at/gesetz/abgb/paragraf/829` → § 829 ABGB\\n- `https://www.jusline.at/gesetz/weg/paragraf/13` → § 13 WEG 2002\\n- `https://www.jusline.at/gesetz/abgb/paragraf/781` → § 781 ABGB (Schenkungsanrechnung)\\n\\nJUSLINE HTML is clean: strip `