\\n | \", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_046884fc3b4649e69ac4293e"
},
{
"role": "tool",
"content": "{\"output\": \"#!/usr/bin/env bash\\n# ============================================================\\n# Hermes Web UI -- portable bootstrap\\n# Usage: ./start.sh [port]\\n#\\n# One-command startup. Discovers your Hermes install, sets up\\n# a local virtualenv if needed, installs dependencies, then\\n# launches the server and prints everything you need to know.\\n#\\n# Override any step with environment variables:\\n# HERMES_WEBUI_AGENT_DIR path to hermes-agent checkout\\n# HERMES_WEBUI_PYTHON python executable to use\\n# HERMES_WEBUI_PORT port to listen on (default: 8787)\\n# HERMES_WEBUI_HOST bind address (default: 127.0.0.1)\\n# HERMES_HOME override ~/.hermes base\\n# HERMES_WEBUI_STATE_DIR override state directory\\n# ============================================================\\n\\nset -euo pipefail\\n\\n# ── Load .env if present (machine-local overrides, not committed) ─────────────\\n_SCRIPT_DIR=\\\"$(cd \\\"$(dirname \\\"${BASH_SOURCE[0]}\\\")\\\" && pwd)\\\"\\nif [[ -f \\\"${_SCRIPT_DIR}/.env\\\" ]]; then\\n set -a\\n # shellcheck source=/dev/null\\n source \\\"${_SCRIPT_DIR}/.env\\\"\\n set +a\\nfi\\n\\n# ── Colours ──────────────────────────────────────────────────────────────────\\nRED='\\\\033[0;31m'; GREEN='\\\\033[0;32m'; YELLOW='\\\\033[1;33m'\\nCYAN='\\\\033[0;36m'; BOLD='\\\\033[1m'; RESET='\\\\033[0m'\\nok() { echo -e \\\"${GREEN}[ok]${RESET} $*\\\"; }\\nwarn() { echo -e \\\"${YELLOW}[!!]${RESET} $*\\\"; }\\ndie() { echo -e \\\"${RED}[XX]${RESET} $*\\\" >&2; exit 1; }\\ninfo() { echo -e \\\"${CYAN}[--]${RESET} $*\\\"; }\\nhdr() { echo -e \\\"\\\\n${BOLD}$*${RESET}\\\"; }\\n\\n# ── Resolve repo root (the directory this script lives in) ───────────────────\\nREPO_ROOT=\\\"$(cd \\\"$(dirname \\\"${BASH_SOURCE[0]}\\\")\\\" && pwd)\\\"\\ninfo \\\"Repo root: ${REPO_ROOT}\\\"\\n\\n# ── Port ─────────────────────────────────────────────────────────────────────\\nPORT=\\\"${1:-${HERMES_WEBUI_PORT:-8787}}\\\"\\nexport HERMES_WEBUI_PORT=\\\"${PORT}\\\"\\n\\n# ── Python discovery ─────────────────────────────────────────────────────────\\nhdr \\\"Discovering Python...\\\"\\n\\n_find_python() {\\n # 1. Explicit env var\\n if [[ -n \\\"${HERMES_WEBUI_PYTHON:-}\\\" ]]; then\\n echo \\\"${HERMES_WEBUI_PYTHON}\\\"; return\\n fi\\n\\n # 2. Agent venv (discovered below -- call again after agent dir found)\\n # (handled after agent dir discovery)\\n\\n # 3. Local .venv in repo\\n if [[ -x \\\"${REPO_ROOT}/.venv/bin/python\\\" ]]; then\\n echo \\\"${REPO_ROOT}/.venv/bin/python\\\"; return\\n fi\\n\\n # 4. System python3\\n if command -v python3 &>/dev/null; then\\n echo \\\"$(command -v python3)\\\"; return\\n fi\\n\\n echo \\\"\\\"\\n}\\n\\nPYTHON=\\\"$(_find_python)\\\"\\n\\n# ── Hermes agent discovery ────────────────────────────────────────────────────\\nhdr \\\"Discovering Hermes agent...\\\"\\n\\nHERMES_HOME=\\\"${HERMES_HOME:-${HOME}/.hermes}\\\"\\nAGENT_DIR=\\\"\\\"\\n\\n_find_agent() {\\n local candidates=(\\n \\\"${HERMES_WEBUI_AGENT_DIR:-}\\\"\\n \\\"${HERMES_HOME}/hermes-agent\\\"\\n \\\"${REPO_ROOT}/../hermes-agent\\\"\\n \\\"${HOME}/.hermes/hermes-agent\\\"\\n \\\"${HOME}/hermes-agent\\\"\\n )\\n\\n for d in \\\"${candidates[@]}\\\"; do\\n [[ -z \\\"$d\\\" ]] && continue\\n d=\\\"$(cd \\\"${d}\\\" 2>/dev/null && pwd || true)\\\"\\n if [[ -n \\\"$d\\\" && -f \\\"${d}/run_agent.py\\\" ]]; then\\n echo \\\"$d\\\"; return\\n fi\\n done\\n echo \\\"\\\"\\n}\\n\\nAGENT_DIR=\\\"$(_find_agent)\\\"\\n\\nif [[ -n \\\"${AGENT_DIR}\\\" ]]; then\\n ok \\\"Hermes agent: ${AGENT_DIR}\\\"\\n export HERMES_WEBUI_AGENT_DIR=\\\"${AGENT_DIR}\\\"\\n\\n # Now that we have agent dir, prefer its venv if we don't already have a python\\n if [[ -z \\\"${HERMES_WEBUI_PYTHON:-}\\\" && -x \\\"${AGENT_DIR}/venv/bin/python\\\" ]]; then\\n PYTHON=\\\"${AGENT_DIR}/venv/bin/python\\\"\\n fi\\nelse\\n warn \\\"Hermes agent not found. Agent features will not work.\\\"\\n warn \\\"Fix with: export HERMES_WEBUI_AGENT_DIR=/path/to/hermes-agent\\\"\\nfi\\n\\nif [[ -n \\\"${PYTHON}\\\" ]]; then\\n ok \\\"Python: ${PYTHON} ($(${PYTHON} --version 2>&1))\\\"\\nelse\\n warn \\\"No Python found. Attempting to install...\\\"\\n if command -v apt-get &>/dev/null; then\\n sudo apt-get install -y python3 python3-venv python3-pip\\n elif command -v brew &>/dev/null; then\\n brew install python3\\n else\\n die \\\"Could not find or install Python. Please install Python 3.8+ and re-run.\\\"\\n fi\\n PYTHON=\\\"$(command -v python3)\\\"\\n ok \\\"Python installed: ${PYTHON}\\\"\\nfi\\n\\n# ── Minimum Python version check ─────────────────────────────────────────────\\nPY_VER=\\\"$(${PYTHON} -c 'import sys; print(f\\\"{sys.version_info.major}.{sys.version_info.minor}\\\")')\\\"\\nPY_MAJOR=\\\"$(echo \\\"${PY_VER}\\\" | cut -d. -f1)\\\"\\nPY_MINOR=\\\"$(echo \\\"${PY_VER}\\\" | cut -d. -f2)\\\"\\nif [[ \\\"${PY_MAJOR}\\\" -lt 3 || ( \\\"${PY_MAJOR}\\\" -eq 3 && \\\"${PY_MINOR}\\\" -lt 8 ) ]]; then\\n die \\\"Python 3.8+ required. Found: ${PY_VER}\\\"\\nfi\\n\\n# ── Dependency check / local venv setup ──────────────────────────────────────\\nhdr \\\"Checking dependencies...\\\"\\n\\nVENV_NEEDED=false\\nVENV_PATH=\\\"${REPO_ROOT}/.venv\\\"\\n\\n# If the chosen python is already the agent venv, its deps are already installed.\\n# If it is a system python, check if we can import the webui deps, create a local\\n# .venv if not.\\n_check_deps() {\\n \\\"${PYTHON}\\\" -c \\\"import yaml\\\" 2>/dev/null\\n}\\n\\nif ! _check_deps; then\\n info \\\"PyYAML not found in ${PYTHON}. Creating local .venv...\\\"\\n\\n if [[ ! -d \\\"${VENV_PATH}\\\" ]]; then\\n \\\"${PYTHON}\\\" -m venv \\\"${VENV_PATH}\\\" || die \\\"Failed to create virtualenv at ${VENV_PATH}\\\"\\n fi\\n\\n VENV_PY=\\\"${VENV_PATH}/bin/python\\\"\\n \\\"${VENV_PY}\\\" -m pip install --quiet --upgrade pip\\n\\n if [[ -f \\\"${REPO_ROOT}/requirements.txt\\\" ]]; then\\n info \\\"Installing from requirements.txt...\\\"\\n \\\"${VENV_PY}\\\" -m pip install --quiet -r \\\"${REPO_ROOT}/requirements.txt\\\"\\n else\\n info \\\"Installing minimal deps (pyyaml)...\\\"\\n \\\"${VENV_PY}\\\" -m pip install --quiet pyyaml\\n fi\\n\\n PYTHON=\\\"${VENV_PY}\\\"\\n ok \\\"Local venv ready: ${VENV_PATH}\\\"\\nelse\\n ok \\\"Dependencies satisfied.\\\"\\nfi\\n\\n# ── Kill any stale instance on the same port ─────────────────────────────────\\nhdr \\\"Checking for existing instances...\\\"\\n\\nEXISTING=$(lsof -ti tcp:\\\"${PORT}\\\" 2>/dev/null || true)\\nif [[ -n \\\"${EXISTING}\\\" ]]; then\\n warn \\\"Killing existing process on port ${PORT} (PID ${EXISTING})\\\"\\n kill \\\"${EXISTING}\\\" 2>/dev/null || true\\n sleep 0.5\\nfi\\n\\n# Also kill any server.py process from this repo\\npkill -f \\\"${REPO_ROOT}/server.py\\\" 2>/dev/null || true\\n\\n# ── Set up working directory for Hermes imports ───────────────────────────────\\n# server.py / api/config.py inject agent dir into sys.path at import time,\\n# but we also cd into the agent dir so relative imports in run_agent work.\\nif [[ -n \\\"${AGENT_DIR}\\\" ]]; then\\n WORKDIR=\\\"${AGENT_DIR}\\\"\\nelse\\n WORKDIR=\\\"${REPO_ROOT}\\\"\\nfi\\n\\n# ── Launch ───────────────────────────────────────────────────────────────────\\nhdr \\\"Starting Hermes Web UI...\\\"\\n\\nLOG=\\\"/tmp/hermes-webui-${PORT}.log\\\"\\nexport HERMES_WEBUI_HOST=\\\"${HERMES_WEBUI_HOST:-127.0.0.1}\\\"\\nexport HERMES_WEBUI_STATE_DIR=\\\"${HERMES_WEBUI_STATE_DIR:-${HERMES_HOME}/webui}\\\"\\n\\nnohup \\\"${PYTHON}\\\" \\\"${REPO_ROOT}/server.py\\\" \\\\\\n > \\\"${LOG}\\\" 2>&1 &\\nPID=$!\\n\\necho -e \\\"\\\\n${CYAN} PID ${PID} starting...${RESET}\\\"\\nsleep 1.5\\n\\n# ── Health check ─────────────────────────────────────────────────────────────\\nHEALTH_URL=\\\"http://${HERMES_WEBUI_HOST:-127.0.0.1}:${PORT}/health\\\"\\nMAX_WAIT=15\\nELAPSED=0\\nwhile [[ $ELAPSED -lt $MAX_WAIT ]]; do\\n if curl -sf \\\"${HEALTH_URL}\\\" | grep -q '\\\"status\\\"' 2>/dev/null; then\\n break\\n fi\\n sleep 0.5\\n ELAPSED=$((ELAPSED + 1))\\ndone\\n\\nif ! curl -sf \\\"${HEALTH_URL}\\\" | grep -q '\\\"status\\\"' 2>/dev/null; then\\n warn \\\"Health check did not pass within ${MAX_WAIT}s. Check log:\\\"\\n tail -20 \\\"${LOG}\\\"\\n echo \\\"\\\"\\n warn \\\"Server may still be starting. Try: curl ${HEALTH_URL}\\\"\\nelse\\n ok \\\"Server is healthy.\\\"\\nfi\\n\\n# ── Print access instructions ─────────────────────────────────────────────────\\nBIND_HOST=\\\"${HERMES_WEBUI_HOST:-127.0.0.1}\\\"\\n\\necho \\\"\\\"\\necho -e \\\"${BOLD}========================================${RESET}\\\"\\necho -e \\\"${GREEN} Hermes Web UI is running${RESET}\\\"\\necho -e \\\"${BOLD}========================================${RESET}\\\"\\necho \\\"\\\"\\n\\nif [[ \\\"${BIND_HOST}\\\" == \\\"127.0.0.1\\\" || \\\"${BIND_HOST}\\\" == \\\"localhost\\\" ]]; then\\n # Server is bound to loopback -- detect if we are on a remote machine\\n # by checking if $SSH_CLIENT or $SSH_TTY is set\\n if [[ -n \\\"${SSH_CLIENT:-}\\\" || -n \\\"${SSH_TTY:-}\\\" ]]; then\\n SERVER_IP=\\\"$(hostname -I 2>/dev/null | awk '{print $1}' || echo \\\"\\\")\\\"\\n echo -e \\\" You are on a remote machine. To access from your local browser:\\\"\\n echo \\\"\\\"\\n echo -e \\\" ${CYAN}ssh -N -L ${PORT}:127.0.0.1:${PORT} \\\\$(whoami)@${SERVER_IP}${RESET}\\\"\\n echo \\\"\\\"\\n echo -e \\\" Then open: ${BOLD}http://localhost:${PORT}${RESET}\\\"\\n else\\n echo -e \\\" Open: ${BOLD}http://localhost:${PORT}${RESET}\\\"\\n fi\\nelse\\n echo -e \\\" Open: ${BOLD}http://${BIND_HOST}:${PORT}${RESET}\\\"\\nfi\\n\\necho \\\"\\\"\\necho -e \\\" Log: ${LOG}\\\"\\necho -e \\\" PID: ${PID}\\\"\\necho \\\"\\\"\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_da4dc5142b7743e0990524fd"
},
{
"role": "assistant",
"content": "Todo claro. Ahora veamos cómo levantar Open WebUI — ese es más pesado:",
"reasoning": "Let me also check Open WebUI requirements more carefully and how to run it. It's a heavy Svelte+Python app that normally runs via Docker.\n",
"finish_reason": "tool_calls",
"reasoning_details": [
{
"type": "reasoning.text",
"text": "Let me also check Open WebUI requirements more carefully and how to run it. It's a heavy Svelte+Python app that normally runs via Docker.\n",
"format": "unknown",
"index": 0
}
],
"tool_calls": [
{
"id": "call_81c2b8157edd4864a9c2a77d",
"call_id": "call_81c2b8157edd4864a9c2a77d",
"response_item_id": "fc_81c2b8157edd4864a9c2a77d",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"head -100 /tmp/open-webui-check/README.md | tail -60\"}"
}
},
{
"id": "call_95ec6f05da3c4eba88050071",
"call_id": "call_95ec6f05da3c4eba88050071",
"response_item_id": "fc_95ec6f05da3c4eba88050071",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"which docker 2>/dev/null && docker --version 2>/dev/null; which podman 2>/dev/null; echo \\\"---\\\"; cat /tmp/open-webui-check/pyproject.toml | head -30\"}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"- 🎤📹 **Hands-Free Voice/Video Call**: Experience seamless communication with integrated hands-free voice and video call features using multiple Speech-to-Text providers (Local Whisper, OpenAI, Deepgram, Azure) and Text-to-Speech engines (Azure, ElevenLabs, OpenAI, Transformers, WebAPI), allowing for dynamic and interactive chat environments.\\n\\n- 🛠️ **Model Builder**: Easily create Ollama models via the Web UI. Create and add custom characters/agents, customize chat elements, and import models effortlessly through [Open WebUI Community](https://openwebui.com/) integration.\\n\\n- 🐍 **Native Python Function Calling Tool**: Enhance your LLMs with built-in code editor support in the tools workspace. Bring Your Own Function (BYOF) by simply adding your pure Python functions, enabling seamless integration with LLMs.\\n\\n- 💾 **Persistent Artifact Storage**: Built-in key-value storage API for artifacts, enabling features like journals, trackers, leaderboards, and collaborative tools with both personal and shared data scopes across sessions.\\n\\n- 📚 **Local RAG Integration**: Dive into the future of chat interactions with groundbreaking Retrieval Augmented Generation (RAG) support using your choice of 9 vector databases and multiple content extraction engines (Tika, Docling, Document Intelligence, Mistral OCR, External loaders). Load documents directly into chat or add files to your document library, effortlessly accessing them using the `#` command before a query.\\n\\n- 🔍 **Web Search for RAG**: Perform web searches using 15+ providers including `SearXNG`, `Google PSE`, `Brave Search`, `Kagi`, `Mojeek`, `Tavily`, `Perplexity`, `serpstack`, `serper`, `Serply`, `DuckDuckGo`, `SearchApi`, `SerpApi`, `Bing`, `Jina`, `Exa`, `Sougou`, `Azure AI Search`, and `Ollama Cloud`, injecting results directly into your chat experience.\\n\\n- 🌐 **Web Browsing Capability**: Seamlessly integrate websites into your chat experience using the `#` command followed by a URL. This feature allows you to incorporate web content directly into your conversations, enhancing the richness and depth of your interactions.\\n\\n- 🎨 **Image Generation & Editing Integration**: Create and edit images using multiple engines including OpenAI's DALL-E, Gemini, ComfyUI (local), and AUTOMATIC1111 (local), with support for both generation and prompt-based editing workflows.\\n\\n- ⚙️ **Many Models Conversations**: Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel.\\n\\n- 🔐 **Role-Based Access Control (RBAC)**: Ensure secure access with restricted permissions; only authorized individuals can access your Ollama, and exclusive model creation/pulling rights are reserved for administrators.\\n\\n- 🗄️ **Flexible Database & Storage Options**: Choose from SQLite (with optional encryption), PostgreSQL, or configure cloud storage backends (S3, Google Cloud Storage, Azure Blob Storage) for scalable deployments.\\n\\n- 🔍 **Advanced Vector Database Support**: Select from 9 vector database options including ChromaDB, PGVector, Qdrant, Milvus, Elasticsearch, OpenSearch, Pinecone, S3Vector, and Oracle 23ai for optimal RAG performance.\\n\\n- 🔐 **Enterprise Authentication**: Full support for LDAP/Active Directory integration, SCIM 2.0 automated provisioning, and SSO via trusted headers alongside OAuth providers. Enterprise-grade user and group provisioning through SCIM 2.0 protocol, enabling seamless integration with identity providers like Okta, Azure AD, and Google Workspace for automated user lifecycle management.\\n\\n- ☁️ **Cloud-Native Integration**: Native support for Google Drive and OneDrive/SharePoint file picking, enabling seamless document import from enterprise cloud storage.\\n\\n- 📊 **Production Observability**: Built-in OpenTelemetry support for traces, metrics, and logs, enabling comprehensive monitoring with your existing observability stack.\\n\\n- ⚖️ **Horizontal Scalability**: Redis-backed session management and WebSocket support for multi-worker and multi-node deployments behind load balancers.\\n\\n- 🌐🌍 **Multilingual Support**: Experience Open WebUI in your preferred language with our internationalization (i18n) support. Join us in expanding our supported languages! We're actively seeking contributors!\\n\\n- 🧩 **Pipelines, Open WebUI Plugin Support**: Seamlessly integrate custom logic and Python libraries into Open WebUI using [Pipelines Plugin Framework](https://github.com/open-webui/pipelines). Launch your Pipelines instance, set the OpenAI URL to the Pipelines URL, and explore endless possibilities. [Examples](https://github.com/open-webui/pipelines/tree/main/examples) include **Function Calling**, User **Rate Limiting** to control access, **Usage Monitoring** with tools like Langfuse, **Live Translation with LibreTranslate** for multilingual support, **Toxic Message Filtering** and much more.\\n\\n- 🌟 **Continuous Updates**: We are committed to improving Open WebUI with regular updates, fixes, and new features.\\n\\nWant to learn more about Open WebUI's features? Check out our [Open WebUI documentation](https://docs.openwebui.com/features) for a comprehensive overview!\\n\\n---\\n\\nWe are incredibly grateful for the generous support of our sponsors. Their contributions help us to maintain and improve our project, ensuring we can continue to deliver quality work to our community. Thank you!\\n\\n## How to Install 🚀\\n\\n### Installation via Python pip 🐍\\n\\nOpen WebUI can be installed using pip, the Python package installer. Before proceeding, ensure you're using **Python 3.11** to avoid compatibility issues.\\n\\n1. **Install Open WebUI**:\\n Open your terminal and run the following command to install Open WebUI:\\n\\n ```bash\\n pip install open-webui\\n ```\\n\\n2. **Running Open WebUI**:\\n After installation, you can start Open WebUI by executing:\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_81c2b8157edd4864a9c2a77d"
},
{
"role": "tool",
"content": "{\"output\": \"/usr/bin/docker\\nDocker version 28.2.2, build 28.2.2-0ubuntu1~24.04.1\\n---\\n[project]\\nname = \\\"open-webui\\\"\\ndescription = \\\"Open WebUI\\\"\\nauthors = [\\n { name = \\\"Timothy Jaeryang Baek\\\", email = \\\"tim@openwebui.com\\\" }\\n]\\nlicense = { file = \\\"LICENSE\\\" }\\ndependencies = [\\n \\\"fastapi==0.135.1\\\",\\n \\\"uvicorn[standard]==0.41.0\\\",\\n \\\"pydantic==2.12.5\\\",\\n \\\"python-multipart==0.0.22\\\",\\n \\\"itsdangerous==2.2.0\\\",\\n\\n \\\"python-socketio==5.16.1\\\",\\n \\\"python-jose==3.5.0\\\",\\n \\\"cryptography==46.0.5\\\",\\n \\\"bcrypt==5.0.0\\\",\\n \\\"argon2-cffi==25.1.0\\\",\\n \\\"PyJWT[crypto]==2.11.0\\\",\\n \\\"authlib==1.6.9\\\",\\n\\n \\\"requests==2.32.5\\\",\\n \\\"aiohttp==3.13.2\\\", # do not update to 3.13.3 - broken\\n \\\"async-timeout==5.0.1\\\",\\n \\\"aiocache==0.12.3\\\",\\n \\\"aiofiles==25.1.0\\\",\\n \\\"starlette-compress==1.7.0\\\",\\n \\\"Brotli==1.1.0\\\",\\n \\\"httpx[socks,http2,zstd,cli,brotli]==0.28.1\\\",\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_95ec6f05da3c4eba88050071"
},
{
"role": "assistant",
"content": "Bien. Plan:\n\n- **Hermes WebUI** → port 3001 (liviano, hecho para Hermes, usa el agente directo)\n- **Open WebUI** → port 3002 (vía Docker, full-featured, se conecta a un proveedor LLM)\n- Los dos accesibles por Tailscale\n\nArranco con los dos en paralelo:",
"reasoning": "Ok, I have enough info. Let me plan:\n\n1. **Hermes WebUI** (nesquena/hermes-webui) - lightweight, made specifically for Hermes. Needs: clone to a proper location, configure to point at the agent, start on a port. It uses Python stdlib + pyyaml. Port 8787.\n\n2. **Open WebUI** (open-webui/open-webui) - heavy, full-featured. Can run via Docker or pip. Since we have Docker, that's the cleanest approach. Runs on its own port. Need to configure it to use an OpenAI-compatible endpoint (which Hermes' api_server provides, or we could point it at OpenRouter directly).\n\n\n3. **hermes-workspace** - already running on port 3000, but Igna doesn't like it much.\n\nI'll need to set up both on separate ports (3001 for Hermes WebUI, 3002 for Open WebUI) and expose them through Tailscale so they're accessible.\n\nThe tricky part is that Open WebUI is just an LLM chat interface, not directly connected to Hermes - I'd need to configure it to use either an OpenRouter API key or Hermes' api_server as the backend. Let me check if port 3000 is running the Vite dev server from hermes-workspace first, then I'll set up Hermes WebUI with its agent pointing to ~/.hermes/hermes-agent.\n\nSetting up the ports and deployment...",
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_515cc8a372c7484d8314296c",
"call_id": "call_515cc8a372c7484d8314296c",
"response_item_id": "fc_515cc8a372c7484d8314296c",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/ubuntu && rm -rf hermes-webui && cp -r /tmp/hermes-webui-check hermes-webui && cd hermes-webui && HERMES_WEBUI_PORT=3001 HERMES_WEBUI_HOST=0.0.0.0 HERMES_WEBUI_AGENT_DIR=/home/ubuntu/.hermes/hermes-agent bash start.sh 2>&1\", \"timeout\": 30}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"[--] Repo root: /home/ubuntu/hermes-webui\\n\\nDiscovering Python...\\n\\nDiscovering Hermes agent...\\n[ok] Hermes agent: /home/ubuntu/.hermes/hermes-agent\\n[ok] Python: /home/ubuntu/.hermes/hermes-agent/venv/bin/python (Python 3.11.15)\\n\\nChecking dependencies...\\n[ok] Dependencies satisfied.\\n\\nChecking for existing instances...\\n[!!] Killing existing process on port 3001 (PID 798202)\\n\\nStarting Hermes Web UI...\\n\\n PID 1738357 starting...\\n[ok] Server is healthy.\\n\\n========================================\\n Hermes Web UI is running\\n========================================\\n\\n Open: http://0.0.0.0:3001\\n\\n Log: /tmp/hermes-webui-3001.log\\n PID: 1738357\", \"exit_code\": 0, \"error\": null, \"approval\": \"Command required approval (recursive delete) and was approved by the user.\"}\n\n[Subdirectory context discovered: ~/CLAUDE.md]\n# CLAUDE.md\n\nThis file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.\n\n## Environment\n\nUbuntu 24.04 LTS, ARM64 (Oracle Cloud VPS). This is the home directory of an AI agent named **Pipo**, serving user **Ignacio/Chicho**.\n\n- Node.js v22, npm 10, Python 3.12, Git 2.43, Bitwarden CLI, Tailscale\n- Tailscale IP: `100.87.116.90`, hostname: `miopenclaw-vnic.tail9799d2.ts.net`\n\n## Key Directories\n\n| Path | Purpose |\n|------|---------|\n| `~/.openclaw/workspace/` | Main agent workspace (canonical) |\n| `~/openclaw-workspace/` | Secondary git repo with project artifacts |\n| `~/.openclaw/openclaw.json` | OpenClaw platform config (gateway, channels, skills) |\n| `~/.bw/` | Bitwarden session token |\n\n## Shell Helpers (from `~/.bash_aliases`)\n\n```bash\nbw-sync # Load saved Bitwarden session\nbw-unlock # Unlock vault and save session\ng \"prompt\" # Gemini CLI wrapper\nc \"prompt\" # Codex safe mode (read-only, no internet)\ncn \"prompt\" # Codex network mode (full access)\npipo-deploy [name] # Expose port to Tailscale at /preview//\npipo-undeploy # Remove Tailscale preview route\npj # Job controller (~/.openclaw/workspace/ops/cli-jobs/jobctl.sh)\n```\n\n## Critical Constraints\n\n**OpenClaw gateway** (port 18789): Restarting severs any active agent session. Prefer config hot-reload when possible (`openclaw config set ...`). If a restart is truly needed (e.g. fixing broken Telegram delivery), it is allowed — Ignacio authorizes it. Use `openclaw gateway restart` and verify logs afterward.\n\n**Chromium browser tool**: ALWAYS use profile `openclaw` (connected to headless Chromium on port 9222). NEVER use profile `chrome` — that profile requires a manual extension that does not exist on this VPS.\n\n**Tailscale serve**: Port 443 root (`/`) is reserved for the OpenClaw dashboard. Use preview ports 3001–3010 for apps and expose them via `pipo-deploy`.\n\n## Deployment Pattern\n\n1. Start your app on a port in range 3001–3010\n2. Run `pipo-deploy `\n3. App is accessible at `https://miopenclaw-vnic.tail9799d2.ts.net/preview//`\n\n## Agent Workspace Structure (`~/.openclaw/workspace/`)\n\n- `SOUL.md` / `AGENTS.md` — agent persona and session protocol\n- `MEMORIES.md` — long-term curated memory (canonical; `MEMORY.md` is a compat alias)\n- `memory/YYYY-MM-DD.md` — daily session logs\n- `HEARTBEAT.md` — periodic task checklist (empty = skip heartbeat)\n- `skills/` — installed agent skills (bitwarden, openclaw-bitwarden, parallel-preview-orchestrator)\n- `ops/` — operational scripts (cli-jobs, docker-cli-stack)\n- `node_modules/` — Playwright installed here\n\n## Secrets\n\nRetrieved from Bitwarden vault. After `bw-sync`, use:\n```bash\nbw get username \"item-name\"\nbw get password \"item-name\"\n```\n\nAPI keys (Gemini, OpenAI/Codex, GitHub) are auto-loaded from `~/.openclaw/openclaw.json` into the shell environment via `~/.bash_aliases`.",
"tool_call_id": "call_515cc8a372c7484d8314296c"
},
{
"role": "assistant",
"content": "Ahí está, Hermes WebUI ya corriendo en 3001. Ahora Open WebUI. Tiene Docker disponible, así que lo levanto por ese camino (más limpio y con todo incluido):",
"reasoning": "The user wants both hermes-webui and open-webui running so they can compare. Hermes WebUI is already running on port 3001. Now I need to set up Open WebUI.\n\nOpen WebUI is a heavy application - it's a Svelte + FastAPI app. Looking at the options:\n\n1. **Docker** - This is the recommended way to run Open WebUI. Docker is available on this machine.\n2. **pip install** - Would need heavy deps and port conflict management.\n\nLet me use Docker since it's available and is the cleanest approach. The standard Open WebUI Docker setup:\n\n```bash\ndocker run -d -p 3002:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main\n```\n\nWait, this is an ARM64 machine. I need to check if there's an ARM64 image available for Open WebUI. Let me check if the official image supports ARM64.\n\nActually, the official open-webui image should support multiple architectures. Let me just try to pull and run it on port 3002.\n\nHermes WebUI is already running and healthy on port 3001. Now I need to start Open WebUI on port 3002 using Docker.",
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_fcc5eaf81d8d41dfac259a21",
"call_id": "call_fcc5eaf81d8d41dfac259a21",
"response_item_id": "fc_fcc5eaf81d8d41dfac259a21",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"background\": true, \"command\": \"docker run -d -p 3002:8080 -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main 2>&1\", \"timeout\": 300}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"Background process started\", \"session_id\": \"proc_dd78ebae5019\", \"pid\": 1738370, \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_fcc5eaf81d8d41dfac259a21"
},
{
"role": "assistant",
"content": "",
"reasoning": "user interrupted. Let me check the status of the processes and expose them via Tailscale.",
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_81168c25e54b438f97cf20ea",
"call_id": "call_81168c25e54b438f97cf20ea",
"response_item_id": "fc_81168c25e54b438f97cf20ea",
"type": "function",
"function": {
"name": "process",
"arguments": "{\"action\": \"poll\", \"session_id\": \"proc_dd78ebae5019\"}"
}
}
]
},
{
"role": "tool",
"content": "{\"session_id\": \"proc_dd78ebae5019\", \"command\": \"docker run -d -p 3002:8080 -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main 2>&1\", \"status\": \"running\", \"pid\": 1738370, \"uptime_seconds\": 8, \"output_preview\": \"\"}",
"tool_call_id": "call_81168c25e54b438f97cf20ea"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_022c942d22f64949913895e0",
"call_id": "call_022c942d22f64949913895e0",
"response_item_id": "fc_022c942d22f64949913895e0",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"sleep 15 && curl -s http://localhost:3002/health 2>&1 | head -5\", \"timeout\": 30}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_022c942d22f64949913895e0"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_c34910eaffdc4b0b914eb554",
"call_id": "call_c34910eaffdc4b0b914eb554",
"response_item_id": "fc_c34910eaffdc4b0b914eb554",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"sleep 15 && docker ps 2>&1 | grep -E \\\"open-webui|hermes\\\"\", \"timeout\": 30}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 1, \"error\": null}",
"tool_call_id": "call_c34910eaffdc4b0b914eb554"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_e56fa814a39f42269598a9d5",
"call_id": "call_e56fa814a39f42269598a9d5",
"response_item_id": "fc_e56fa814a39f42269598a9d5",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"docker ps -a 2>&1; echo \\\"===\\\"; docker logs open-webui 2>&1 | tail -30\", \"timeout\": 30}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES\\nd0ff0e44e795 hermes-workspace-hermes-agent \\\"hermes --gateway\\\" 4 days ago Exited (2) 4 days ago hermes-workspace-hermes-agent-1\\n===\\nError response from daemon: No such container: open-webui\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_e56fa814a39f42269598a9d5"
},
{
"role": "assistant",
"content": "El contenedor no se creó. Puede que el pull del image esté fallando o docker no tiene permisos para crear el network/volume. Probemos de nuevo:",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_d23e7c35bbca4864b1d23b76",
"call_id": "call_d23e7c35bbca4864b1d23b76",
"response_item_id": "fc_d23e7c35bbca4864b1d23b76",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"docker pull ghcr.io/open-webui/open-webui:main 2>&1\", \"timeout\": 300}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"main: Pulling from open-webui/open-webui\\nDigest: sha256:b8095f79a6a8ffad8f830bdacc9b5b0aef805689b31bca0b065cc2424d3cfaeb\\nStatus: Image is up to date for ghcr.io/open-webui/open-webui:main\\nghcr.io/open-webui/open-webui:main\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_d23e7c35bbca4864b1d23b76"
},
{
"role": "assistant",
"content": "Ahí está, image bajada. Ahora corramos con la flag para ver errores claramente:",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_1277936d69724ec6bbaadcd7",
"call_id": "call_1277936d69724ec6bbaadcd7",
"response_item_id": "fc_1277936d69724ec6bbaadcd7",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"docker run -d -p 3002:8080 --name open-webui -v open-webui:/app/backend/data ghcr.io/open-webui/open-webui:main 2>&1\", \"timeout\": 60}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"docker: Error response from daemon: Conflict. The container name \\\"/open-webui\\\" is already in use by container \\\"d87a3ad6cb7b91c55daf8ddd2f5478ead6eaa8a243baef7f7545e5a1de802636\\\". You have to remove (or rename) that container to be able to reuse that name.\\n\\nRun 'docker run --help' for more information\", \"exit_code\": 125, \"error\": null}",
"tool_call_id": "call_1277936d69724ec6bbaadcd7"
},
{
"role": "assistant",
"content": "Quedó el container zombi del primer intento:",
"reasoning": "Docker creó el container pero se murió. Hay que removerlo y recrearlo.",
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_ce2617b9f9f74da6ab6d2b2d",
"call_id": "call_ce2617b9f9f74da6ab6d2b2d",
"response_item_id": "fc_ce2617b9f9f74da6ab6d2b2d",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"docker rm open-webui 2>&1 && docker run -d -p 3002:8080 --name open-webui -v open-webui:/app/backend/data ghcr.io/open-webui/open-webui:main 2>&1\", \"timeout\": 60}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"Error response from daemon: cannot remove container \\\"open-webui\\\": container is running: stop the container before removing or force remove\", \"exit_code\": 1, \"error\": null}",
"tool_call_id": "call_ce2617b9f9f74da6ab6d2b2d"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_d2a756894d814c1580104cd2",
"call_id": "call_d2a756894d814c1580104cd2",
"response_item_id": "fc_d2a756894d814c1580104cd2",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"docker rm -f open-webui 2>&1 && docker run -d -p 3002:8080 --name open-webui -v open-webui:/app/backend/data ghcr.io/open-webui/open-webui:main 2>&1\", \"timeout\": 60}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"open-webui\\nb921ff1c70068338f251f4fd38eb29a475b8390f731f7da86cd0901db0778776\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_d2a756894d814c1580104cd2"
},
{
"role": "assistant",
"content": "Ahí estamos. Esperemos a que arranque y verifiquemos:",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_f6082789165e4bbbb86572bc",
"call_id": "call_f6082789165e4bbbb86572bc",
"response_item_id": "fc_f6082789165e4bbbb86572bc",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"for i in $(seq 1 60); do if curl -sf http://localhost:3002/ > /dev/null 2>&1; then echo \\\"Open WebUI is UP on port 3002\\\"; break; fi; echo -n \\\"$i \\\"; sleep 2; done\", \"timeout\": 130}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"1 2 3 Open WebUI is UP on port 3002\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_f6082789165e4bbbb86572bc"
},
{
"role": "assistant",
"content": "Ambos corriendo. Chequeemos que estén accesibles:",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_ed25914a287646f1bf8fde93",
"call_id": "call_ed25914a287646f1bf8fde93",
"response_item_id": "fc_ed25914a287646f1bf8fde93",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"curl -s http://localhost:3001/ | grep -o '.*' && curl -s http://localhost:3002/ | grep -o '.*'\"}"
}
}
]
},
{
"role": "tool",
"content": "{\"output\": \"Hermes\\nOpen WebUI\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_ed25914a287646f1bf8fde93"
},
{
"role": "assistant",
"content": "Perfecto, todo arriba. Los tres:\n\n| UI | Puerto | URL (Tailscale) | Qué es |\n|---|---|---|---|\n| **hermes-workspace** | 3000 | http://100.87.116.90:3000/ | Tu frontend actual (Vite) |\n| **Hermes WebUI** | 3001 | http://100.87.116.90:3001/ | Ligero, hecho para Hermes (Python stdlib) |\n| **Open WebUI** | 3002 | http://100.87.116.90:3002/ | Full-featured, plataforma genérica |\n\n**Accedé directo por tu IP de Tailscale** — ya podés abrir los dos en el navegador.\n\nUn par de notas:\n- **Hermes WebUI (3001)** ya viene con tu agente conectado (usa el venv de Hermes, tiene acceso a sesiones, skills, workspace, etc). Probablemente pida credenciales o arranque directo sin auth (es lo default en este repo).\n- **Open WebUI (3002)** al arrancar te va a pedir crear una cuenta admin. Es una plataforma genérica — no viene conectada a Hermes por defecto, se conecta a un proveedor LLM tipo OpenAI/Ollama. Para integrarla con tu Hermes habría que configurarla con la API de Hermes.\n\nComparalos a gusto. Si alguno te copa, me decís y lo dejamos montado.",
"reasoning": "Ambos están corriendo. Ambos son accesibles localmente. Ahora necesito hacer que el usuario pueda acceder desde su navegador vía Tailscale. La IP es 100.87.116.90. \n\nPero el usuario ya accede a `http://100.87.116.90:3000/` directamente por Tailscale. Los dos nuevos están en:\n- http://100.87.116.90:3001/ (Hermes WebUI)\n- http://100.87.116.90:3002/ (Open WebUI)\n\nLos puertos 3001 y 3002 están en el rango que ya se usa. No necesito `pipo-deploy` porque el usuario accede directamente por Tailscale IP:Puerto.\n\nTambién necesito verificar que Open WebUI tenga el firewall/security correcto en sus logs. Pero primero déjale saber que están listos.",
"finish_reason": "stop"
},
{
"role": "user",
"content": "Review the conversation above and consider saving or updating a skill if appropriate.\n\nFocus on: was a non-trivial approach used to complete a task that required trial and error, or changing course due to experiential findings along the way, or did the user expect or desire a different method or outcome?\n\nIf a relevant skill already exists, update it with what you learned. Otherwise, create a new skill if the approach is reusable.\nIf nothing is worth saving, just say 'Nothing to save.' and stop."
},
{
"role": "assistant",
"content": "Nothing to save. The hermes-webui `start.sh` already handles its own bootstrap, Open WebUI is just a standard Docker run, and the git stash investigation is basic git. No reusable pattern worth capturing as a skill.",
"reasoning": "Let me review what happened in this conversation:\n\n1. User had a `hermes update` that hit merge conflicts\n2. We investigated the stash contents to understand what was conflicting\n3. User wanted to compare different web UIs for Hermes\n4. We cloned and ran both hermes-webui (nesquena/hermes-webui) and open-webui alongside the existing hermes-workspace\n\nWhat's worth saving:\n\n- The discovery that when running `hermes update` with local changes, it stashes changes and may hit merge conflicts\n- The specific conflict pattern in `api_server.py` and what those changes were (sessions API, skills API, memory API, config API)\n- How to compare the stash with `git stash show -p stash@{0}`\n- The setup process for running multiple web UIs side by side\n- Open WebUI Docker setup details\n\nThere isn't really a single reusable \"skill\" pattern here - it's more of a one-off comparison session. The web UI comparison info is situational. The git stash investigation is basic git.\n\nHowever, there is something worth capturing: the **hermes-webui setup pattern** could be useful as a skill. Let me check if there's already a skill for this.\n\nLooking at the skills list, I don't see a `hermes-webui` skill. The approach of cloning hermes-webui from nesquena/hermes-webui, configuring it to point to the Hermes agent directory, and running it on a custom port is reusable.\n\nSimilarly, running Open WebUI via Docker is a general pattern.\n\nBut honestly, these two are more like deployment docs than skills - the start.sh script already handles most of the hermes-webui setup. And Open WebUI via Docker is just `docker run`.\n\nI'll create a skill for running hermes-webui since it's specifically tied to this Hermes install and has non-obvious configuration (pointing to agent dir via env vars, port selection, etc.). \n\nActually, looking more carefully, the `start.sh` script already handles all of this automatically. \n\nNot much skill value here.\n",
"finish_reason": "stop"
}
]
} |