{
  "session_id": "20260420_100120_66768e",
  "title": "[Note: model was just switched from qwen/qwen3.5-35b-a3b to glm-",
  "workspace": "/Users/rose/.hermes",
  "model": "glm-5.1",
  "messages": [
    {
      "role": "user",
      "content": "[Note: model was just switched from qwen/qwen3.5-35b-a3b to glm-5.1 via Z.AI. Adjust your self-identification accordingly.]\n\nmeine lmstudio models weren zu openrouter geroutet staht zu mioenem lmstudio",
      "timestamp": 1776672534.5111308
    },
    {
      "role": "assistant",
      "content": "Lade mal die Skills für LM Studio Routing-Probleme...",
      "timestamp": 1776672534.5117939
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"name\": \"hermes-webui-lmstudio-routing\", \"description\": \"Fix LM Studio models being routed to wrong provider (Z.AI) in Hermes WebUI — provider detection, prefix logic, and session data fix\", \"tags\": [\"hermes-webui\", \"lmstudio\", \"model-routing\", \"provider\", \"bugfix\"], \"related_skills\": [], \"content\": \"---\\nname: hermes-webui-lmstudio-routing\\ndescription: Fix LM Studio models being routed to wrong provider (Z.AI) in Hermes WebUI — provider detection, prefix logic, and session data fix\\ntags: [hermes-webui, lmstudio, model-routing, provider, bugfix]\\ncategory: hermes\\n---\\n\\n# Problem\\n\\nLM Studio models (e.g. Qwen, Gemma) selected in WebUI dropdown produce:\\n```\\nError code: 400 - Unknown Model, please check the model code.\\nProvider: zai  Model: qwen3.5-35b-a3b\\nEndpoint: https://api.z.ai/api/coding/paas/v4\\n```\\n\\nThe request goes to Z.AI instead of LM Studio localhost:1234.\\n\\nThree separate bugs cause this, all in the WebUI config module (api/config.py).\\n\\n---\\n\\n## Bug 1: Provider Detection — localhost:1234 misidentified as \\\"ollama\\\"\\n\\n**Location:** `get_available_models()` — provider detection block (~line 823-838)\\n\\n**Root cause:** The code checks if hostname is \\\"localhost\\\" or \\\"127.0.0.1\\\" and sets provider=\\\"ollama\\\". LM Studio runs on localhost:1234, so it gets classified as Ollama.\\n\\n**Fix:** Check Hermes config providers dict first (exact base_url match), then fall back to port-based detection (1234=LM Studio, 11434=Ollama):\\n\\n```python\\n# First check: does the active Hermes config have a provider entry matching this base_url?\\n_cfg_providers = cfg.get(\\\"providers\\\", {})\\nif isinstance(_cfg_providers, dict):\\n    for _pid, _pcfg in _cfg_providers.items():\\n        if isinstance(_pcfg, dict):\\n            _p_base = (_pcfg.get(\\\"base_url\\\") or \\\"\\\").strip().rstrip(\\\"/\\\")\\n            if _p_base and _p_base == base_url.rstrip(\\\"/\\\"):\\n                provider = _pid\\n                break\\n\\n# Fallback: port-based detection\\nif provider == \\\"custom\\\":\\n    if port == 1234 or \\\"lmstudio\\\" in host:\\n        provider = \\\"lmstudio\\\"\\n    elif \\\"ollama\\\" in host or port == 11434:\\n        provider = \\\"ollama\\\"\\n```\\n\\n---\\n\\n## Bug 2: Auto-detected models missing at-provider prefix\\n\\n**Location:** `get_available_models()` — group building loop (~line 997-1030)\\n\\n**Root cause:** Two issues:\\n1. `_PROVIDER_MODELS` elif branch only uses static model list, not auto-detected models from API\\n2. Old code skipped prefix for model IDs containing \\\"/\\\" (e.g. `qwen/qwen3.5-35b-a3b`)\\n\\n**Fix:** Merge auto-detected models into `_PROVIDER_MODELS` list before prefixing:\\n\\n```python\\nraw_models = list(_PROVIDER_MODELS[pid])\\n# Merge in auto-detected models\\n_static_ids = {m[\\\"id\\\"] for m in raw_models}\\nfor m in auto_detected_models:\\n    if m[\\\"id\\\"] not in _static_ids:\\n        raw_models.append(m)\\n        _static_ids.add(m[\\\"id\\\"])\\n\\n# Always prefix for non-default providers (only skip if already has @)\\nif _active and pid != _active:\\n    for m in raw_models:\\n        mid = m[\\\"id\\\"]\\n        if mid.startswith(\\\"@\\\"):\\n            models.append(m)\\n        else:\\n            models.append({\\\"id\\\": f\\\"@{pid}:{mid}\\\", \\\"label\\\": m[\\\"label\\\"]})\\n```\\n\\n---\\n\\n## Bug 3: Existing sessions store bare model name without prefix\\n\\n**Location:** Session JSON files in the WebUI sessions directory\\n\\n**Root cause:** Sessions created before the fix store bare model names without `@lmstudio:` prefix. On next chat, `resolve_model_provider()` sees no prefix and routes to default provider (zai).\\n\\n**Fix:** Bulk update all session files — add `@lmstudio:` prefix to any qwen/gemma model IDs.\\n\\n---\\n\\n## Bug 4 (CRITICAL): `_get_named_custom_provider()` short-circuits on \\\"lmstudio\\\" → falls through to OpenRouter\\n\\n**Location:** `hermes_cli/runtime_provider.py` — `_get_named_custom_provider()` (~line 278-284)\\n\\n**Root cause:** The function checks if a provider name is a \\\"real\\\" builtin provider by calling `auth_mod.resolve_provider()`. If no error is raised, it returns `None` (meaning \\\"it's builtin, don't check config.yaml\\\").\\n\\nBut \\\"lmstudio\\\" is aliased to `\\\"custom\\\"` in `auth.py` (line 989: `\\\"lmstudio\\\": \\\"custom\\\"`). So `resolve_provider(\\\"lmstudio\\\")` succeeds without error — returns \\\"custom\\\". The function sees no error → returns None → never checks config.yaml `providers.lmstudio` → everything falls through to `_resolve_openrouter_runtime()` as last resort.\\n\\n**Symptom in request dump:**\\n```\\nURL: https://openrouter.ai/api/v1/chat/completions\\nAuth: Bearer <zai-api-key>\\nModel: qwen/qwen3.5-35b-a3b\\n```\\nThe ZAI API key gets sent to OpenRouter because the ZAI key is the first valid credential found during fallback.\\n\\n**Fix:** When `resolve_provider()` returns `\\\"custom\\\"`, don't short-circuit — continue to check config.yaml providers dict:\\n\\n```python\\nif not requested_norm.startswith(\\\"custom:\\\"):\\n    try:\\n        _resolved_builtin = auth_mod.resolve_provider(requested_norm)\\n    except AuthError:\\n        pass\\n    else:\\n        # \\\"custom\\\" is an alias for local servers (lmstudio, ollama, vllm,\\n        # etc.) that are typically defined in config.yaml providers dict.\\n        # Don't short-circuit — continue to check for a user-defined\\n        # provider entry matching the original name (e.g. \\\"lmstudio\\\").\\n        if _resolved_builtin != \\\"custom\\\":\\n            return None\\n```\\n\\n**Diagnostic approach for this bug:**\\n1. Check request dump: if URL is `openrouter.ai` but model is `qwen/*` → this bug\\n2. Check `HERMES_INFERENCE_PROVIDER=custom:lmstudio` env var → should be correct\\n3. Check `auth.json` `active_provider: lmstudio` → should be correct\\n4. The config is RIGHT but runtime_provider.py never reaches the config check because it short-circuits\\n5. Same bug affects any local server alias: lmstudio, ollama, vllm, llamacpp, llama.cpp\\n\\n---\\n\\n## Verification\\n\\n1. Check /api/models endpoint — LM Studio models should show with `@lmstudio:` prefix\\n2. Test resolve_model_provider(\\\"@lmstudio:qwen/qwen3.5-35b-a3b\\\") returns provider=lmstudio\\n3. Test resolve_runtime_provider(requested=\\\"lmstudio\\\") returns base_url pointing to localhost:1234\\n4. Check bootstrap log after sending a chat — should show Provider: lmstudio, not zai\\n\\n---\\n\\n## Pitfalls\\n\\n- **__pycache__ caching:** After editing api/config.py, ALWAYS clear pycache dirs before restarting, otherwise old bytecode runs\\n- **Port still in use:** When restarting WebUI, kill ALL processes on port 8787 first. A new process silently fails if port is still occupied by old one — check with `lsof -i :8787`\\n- **Embedding models:** Filter out embedding models from auto-detection (they crash the chat endpoint). Check for \\\"embed\\\" in model ID.\\n- **resolve_runtime_provider returns empty api_key for lmstudio:** Expected behavior — LM Studio does not need a real API key\\n\\n---\\n\\n## Key Files\\n\\n- WebUI api/config.py — Provider detection + model list + resolve_model_provider()\\n- WebUI api/streaming.py — Where AIAgent is instantiated with resolved provider\\n- WebUI api/routes.py — Chat endpoint reads model from session or request body\\n- Hermes config.yaml — providers.lmstudio section with base_url and api_key\\n- WebUI sessions directory — Session JSON files with stored model name\\n\", \"path\": \"hermes/hermes-webui-lmstudio-routing/SKILL.md\", \"skill_dir\": \"/Users/rose/.hermes/skills/hermes/hermes-webui-lmstudio-routing\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}",
      "timestamp": 1776672534.512179
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"name\": \"lmstudio-provider-ui-fix\", \"description\": \"Fix LM Studio provider visibility in WebUI selector dropdown\", \"tags\": [\"webui\", \"lmstudio\", \"providers\"], \"related_skills\": [], \"content\": \"---\\nname: lmstudio-provider-ui-fix\\ntitle: LM Studio Provider UI Fix\\ndescription: Fix LM Studio provider visibility in WebUI selector dropdown\\nversion: 1.0\\nauthor: Rose 🌹\\ntags: [webui, lmstudio, providers]\\n---\\n\\n# LM Studio Provider UI Fix\\n\\n## Problem\\nLM Studio appears as \\\"local\\\" provider in config.yaml but doesn't show up in WebUI provider selector dropdown. This causes confusion when users want to switch models via the WebUI.\\n\\n## Root Cause\\nThe WebUI provider list is built from `config.yaml` entries, but LM Studio providers are often named differently (e.g., \\\"lmstudio\\\" vs \\\"local\\\") or missing from the UI rendering logic in `providers.html`.\\n\\n## Solution Steps\\n\\n### 1. Check config.yaml for LM Studio entry\\n```yaml\\nproviders:\\n  lmstudio:\\n    type: local\\n    url: http://localhost:1234/v1\\n    models:\\n      - qwen/qwen3.5-35b-a3b\\n```\\n\\n### 2. Verify WebUI provider rendering\\nFile: `~/.hermes/webui/templates/providers.html` (or similar)\\n\\nLook for the `<select>` element that renders providers. It should include ALL configured providers, not just cloud ones.\\n\\n### 3. Fix UI to show LM Studio\\nIf missing, add:\\n```html\\n<select name=\\\"provider\\\" id=\\\"providerSelect\\\">\\n  {% for provider_name, provider_config in config.providers.items() %}\\n    <option value=\\\"{{ provider_name }}\\\">{{ provider_name }}</option>\\n  {% endfor %}\\n</select>\\n```\\n\\n### 4. Test\\n1. Open `http://localhost:8787`\\n2. Go to Settings → Model/Provider section\\n3. Verify LM Studio appears in dropdown\\n4. Select a model and test chat\\n\\n## Verification\\n- [ ] LM Studio shows in provider selector\\n- [ ] Can switch between local and cloud providers\\n- [ ] Model list updates correctly when switching providers\", \"path\": \"hermes/lmstudio-provider-ui-fix/SKILL.md\", \"skill_dir\": \"/Users/rose/.hermes/skills/hermes/lmstudio-provider-ui-fix\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}",
      "timestamp": 1776672534.5128179
    },
    {
      "role": "assistant",
      "content": "Okay, das ist ein bekannter Bug. Lass mich schnell diagnostizieren welche der 4 Bug-Varianten gerade aktiv ist.",
      "timestamp": 1776672534.51323
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"=== config.yaml lmstudio section ===\\nprovider: lmstudio\\nproviders:\\n  lmstudio:\\n    api_key: lm-studio\\n    base_url: http://localhost:1234/v1\\n    model_default: qwen3.5-27b-claude-4.6-opus-reasoning-distilled\\n    models:\\n    - qwen/qwen3.5-35b-a3b\\n    - qwen3.5-27b-claude-4.6-opus-reasoning-distilled\\n    - google_gemma-4-31b-it\\n  zai:\\n    api_key: 02023b97a32747daaa775b1feb88c728.hPAwxM7O8c2qeQh7\\n    base_url: https://api.z.ai/api/coding/paas/v4\\n--\\n    provider: lmstudio\\nauxiliary:\\n  vision:\\n    provider: custom\\n    model: qwen/qwen3.5-35b-a3b\\n    base_url: http://localhost:1234/v1\\n\\n=== auth.json active_provider ===\\nactive_provider: lmstudio\\n\\n=== runtime_provider.py key lines ===\\ngrep: /Users/rose/hermes-cli/hermes_cli/runtime_provider.py: No such file or directory\\n\\n=== Bug 4 fix check ===\\ngrep: /Users/rose/hermes-cli/hermes_cli/runtime_provider.py: No such file or directory\\n\", \"tool_calls_made\": 4, \"duration_seconds\": 25.75}",
      "timestamp": 1776672534.5134761
    },
    {
      "role": "assistant",
      "content": "",
      "timestamp": 1776672534.513788
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"Found: /System/Volumes/Data/Users/rose/.hermes.backup.1775210132/hermes-agent/hermes_cli/runtime_provider.py\\n/System/Volumes/Data/Users/rose/.hermes/hermes-agent/hermes_cli/runtime_provider.py\\n/Users/rose/.hermes.backup.1775210132/hermes-agent/hermes_cli/runtime_provider.py\\n/Users/rose/.hermes/hermes-agent/hermes_cli/runtime_provider.py\\n\\nHermes location: /Users/rose/.local/bin/hermes\\n\", \"tool_calls_made\": 2, \"duration_seconds\": 48.21}",
      "timestamp": 1776672534.5139441
    },
    {
      "role": "assistant",
      "content": "",
      "timestamp": 1776672534.514173
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"=== runtime_provider.py key lines ===\\n21:    resolve_provider,\\n56:    return None\\n146:    return None\\n256:        return None\\n260:            return None\\n263:            return None\\n266:            return None\\n276:        return None\\n279:def _get_named_custom_provider(requested_provider: str) -> Optional[Dict[str, Any]]:\\n282:        return None\\n288:        return None\\n291:            auth_mod.resolve_provider(requested_norm)\\n295:            return None\\n347:        return None\\n351:        return None\\n385:    return None\\n394:    custom_provider = _get_named_custom_provider(requested_provider)\\n396:        return None\\n403:        return None\\n548:        return None\\n671:    return None\\n692:    provider = resolve_provider(\\n\\n=== _resolved_builtin context ===\\n\\n\", \"tool_calls_made\": 2, \"duration_seconds\": 0.66}",
      "timestamp": 1776672534.51431
    },
    {
      "role": "assistant",
      "content": "",
      "timestamp": 1776672534.5145018
    },
    {
      "role": "tool",
      "content": "{\"content\": \"   279|def _get_named_custom_provider(requested_provider: str) -> Optional[Dict[str, Any]]:\\n   280|    requested_norm = _normalize_custom_provider_name(requested_provider or \\\"\\\")\\n   281|    if not requested_norm or requested_norm == \\\"custom\\\":\\n   282|        return None\\n   283|\\n   284|    # Raw names should only map to custom providers when they are not already\\n   285|    # valid built-in providers or aliases. Explicit menu keys like\\n   286|    # ``custom:local`` always target the saved custom provider.\\n   287|    if requested_norm == \\\"auto\\\":\\n   288|        return None\\n   289|    if not requested_norm.startswith(\\\"custom:\\\"):\\n   290|        try:\\n   291|            auth_mod.resolve_provider(requested_norm)\\n   292|        except AuthError:\\n   293|            pass\\n   294|        else:\\n   295|            return None\\n   296|\\n   297|    config = load_config()\\n   298|    \\n   299|    # First check providers: dict (new-style user-defined providers)\\n   300|    providers = config.get(\\\"providers\\\")\\n   301|    if isinstance(providers, dict):\\n   302|        for ep_name, entry in providers.items():\\n   303|            if not isinstance(entry, dict):\\n   304|                continue\\n   305|            # Match exact name or normalized name\\n   306|            name_norm = _normalize_custom_provider_name(ep_name)\\n   307|            # Resolve the API key from the env var name stored in key_env\\n   308|            key_env = str(entry.get(\\\"key_env\\\", \\\"\\\") or \\\"\\\").strip()\\n   309|\", \"total_lines\": 1013, \"file_size\": 43031, \"truncated\": true, \"hint\": \"Use offset=309 to continue reading (showing 279-308 of 1013 lines)\", \"is_binary\": false, \"is_image\": false}\n\n[Subdirectory context discovered: .hermes/hermes-agent/AGENTS.md]\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants and developers working on the hermes-agent codebase.\n\n## Development Environment\n\n```bash\nsource venv/bin/activate  # ALWAYS activate before running Python\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── run_agent.py          # AIAgent class — core conversation loop\n├── model_tools.py        # Tool orchestration, discover_builtin_tools(), handle_function_call()\n├── toolsets.py           # Toolset definitions, _HERMES_CORE_TOOLS list\n├── cli.py                # HermesCLI class — interactive CLI orchestrator\n├── hermes_state.py       # SessionDB — SQLite session store (FTS5 search)\n├── agent/                # Agent internals\n│   ├── prompt_builder.py     # System prompt assembly\n│   ├── context_compressor.py # Auto context compression\n│   ├── prompt_caching.py     # Anthropic prompt caching\n│   ├── auxiliary_client.py   # Auxiliary LLM client (vision, summarization)\n│   ├── model_metadata.py     # Model context lengths, token estimation\n│   ├── models_dev.py         # models.dev registry integration (provider-aware context)\n│   ├── display.py            # KawaiiSpinner, tool preview formatting\n│   ├── skill_commands.py     # Skill slash commands (shared CLI/gateway)\n│   └── trajectory.py         # Trajectory saving helpers\n├── hermes_cli/           # CLI subcommands and setup\n│   ├── main.py           # Entry point — all `hermes` subcommands\n│   ├── config.py         # DEFAULT_CONFIG, OPTIONAL_ENV_VARS, migration\n│   ├── commands.py       # Slash command definitions + SlashCommandCompleter\n│   ├── callbacks.py      # Terminal callbacks (clarify, sudo, approval)\n│   ├── setup.py          # Interactive setup wizard\n│   ├── skin_engine.py    # Skin/theme engine — CLI visual customization\n│   ├── skills_config.py  # `hermes skills` — enable/disable skills per platform\n│   ├── tools_config.py   # `hermes tools` — enable/disable tools per platform\n│   ├── skills_hub.py     # `/skills` slash command (search, browse, install)\n│   ├── models.py         # Model catalog, provider model lists\n│   ├── model_switch.py   # Shared /model switch pipeline (CLI + gateway)\n│   └── auth.py           # Provider credential resolution\n├── tools/                # Tool implementations (one file per tool)\n│   ├── registry.py       # Central tool registry (schemas, handlers, dispatch)\n│   ├── approval.py       # Dangerous command detection\n│   ├── terminal_tool.py  # Terminal orchestration\n│   ├── process_registry.py # Background process management\n│   ├── file_tools.py     # File read/write/search/patch\n│   ├── web_tools.py      # Web search/extract (Parallel + Firecrawl)\n│   ├── browser_tool.py   # Browserbase browser automation\n│   ├── code_execution_tool.py # execute_code sandbox\n│   ├── delegate_tool.py  # Subagent delegation\n│   ├── mcp_tool.py       # MCP client (~1050 lines)\n│   └── environments/     # Terminal backends (local, docker, ssh, modal, daytona, singularity)\n├── gateway/              # Messaging platform gateway\n│   ├── run.py            # Main loop, slash commands, message dispatch\n│   ├── session.py        # SessionStore — conversation persistence\n│   └── platforms/        # Adapters: telegram, discord, slack, whatsapp, homeassistant, signal, qqbot\n├── ui-tui/               # Ink (React) terminal UI — `hermes --tui`\n│   ├── src/entry.tsx        # TTY gate + render()\n│   ├── src/app.tsx          # Main state machine and UI\n│   ├── src/gatewayClient.ts # Child process + JSON-RPC bridge\n│   ├── src/app/             # Decomposed app logic (event handler, slash handler, stores, hooks)\n│   ├── src/components/      # Ink components (branding, markdown, prompts, pickers, etc.)\n│   ├── src/hooks/           # useCompletion, useInputHistory, useQueue, useVirtualHistory\n│   └── src/lib/             # Pure helpers (history, osc52, text, rpc, messages)\n├── tui_gateway/          # Python JSON-RPC backend for the TUI\n│   ├── entry.py             # stdio entrypoint\n│   ├── server.py            # RPC handlers and session logic\n│   ├── render.py            # Optional rich/ANSI bridge\n│   └── slash_worker.py      # Persistent HermesCLI subprocess for slash commands\n├── acp_adapter/          # ACP server (VS Code / Zed / JetBrains integration)\n├── cron/                 # Scheduler (jobs.py, scheduler.py)\n├── environments/         # RL training environments (Atropos)\n├── tests/                # Pytest suite (~3000 tests)\n└── batch_runner.py       # Parallel batch processing\n```\n\n**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys)\n\n## File Dependency Chain\n\n```\ntools/registry.py  (no deps — imported by all tool files)\n       ↑\ntools/*.py  (each calls registry.register() at import time)\n       ↑\nmodel_tools.py  (imports tools/registry + triggers tool discovery)\n       ↑\nrun_agent.py, cli.py, batch_runner.py, environments/\n```\n\n---\n\n## AIAgent Class (run_agent.py)\n\n```python\nclass AIAgent:\n    def __init__(self,\n        model: str = \"anthropic/claude-opus-4.6\",\n        max_iterations: int = 90,\n        enabled_toolsets: list = None,\n        disabled_toolsets: list = None,\n        quiet_mode: bool = False,\n        save_trajectories: bool = False,\n        platform: str = None,           # \"cli\", \"telegram\", etc.\n        session_id: str = None,\n        skip_context_files: bool = False,\n        skip_memory: bool = False,\n        # ... plus provider, api_mode, callbacks, routing params\n    ): ...\n\n    def chat(self, message: str) -> str:\n        \"\"\"Simple interface — returns final response string.\"\"\"\n\n    def run_conversation(self, user_message: str, system_message: str = None,\n                         conversation_history: list = None, task_id: str = None) -> dict:\n        \"\"\"Full interface — returns dict with final_response + messages.\"\"\"\n```\n\n### Agent Loop\n\nThe core loop is inside `run_conversation()` — entirely synchronous:\n\n```python\nwhile api_call_count < self.max_iterations and self.iteration_budget.remaining > 0:\n    response = client.chat.completions.create(model=model, messages=messages, tools=tool_schemas)\n    if response.tool_calls:\n        for tool_call in response.tool_calls:\n            result = handle_function_call(tool_call.name, tool_call.args, task_id)\n            messages.append(tool_result_message(result))\n        api_call_count += 1\n    else:\n        return response.content\n```\n\nMessages follow OpenAI format: `{\"role\": \"system/user/assistant/tool\", ...}`. Reasoning content is stored in `assistant_msg[\"reasoning\"]`.\n\n---\n\n## CLI Architecture (cli.py)\n\n- **Rich** for banner/panels, **prompt_toolkit** for input with autocomplete\n- **KawaiiSpinner** (`agent/display.py`) — animated faces during API calls, `┊` activity feed for tool results\n- `load_cli_config()` in cli.py merges hardcoded defaults + user config YAML\n- **Skin engine** (`hermes_cli/skin_engine.py`) — data-driven CLI theming; initialized from `display.skin` config key at startup; skins customize banner colors, spinner faces/verbs/wings, tool prefix, response box, branding text\n- `process_command()` is a method on `HermesCLI` — dispatches on canonical command name resolved via `resolve_command()` from the central registry\n- Skill slash commands: `agent/skill_commands.py` scans `~/.hermes/skills/`, injects as **user message** (not system prompt) to preserve prompt caching\n\n### Slash Command Registry (`hermes_cli/commands.py`)\n\nAll slash commands are defined in a central `COMMAND_REGISTRY` list of `CommandDef` objects. Every downstream consumer derives from this registry automatically:\n\n- **CLI** — `process_command()` resolves aliases via `resolve_command()`, dispatches on canonical name\n- **Gateway** — `GATEWAY_KNOWN_COMMANDS` frozenset for hook emission, `resolve_command()` for dispatch\n- **Gateway help** — `gateway_help_lines()` generates `/help` output\n- **Telegram** — `telegram_bot_commands()` generates the BotCommand menu\n- **Slack** — `slack_subcommand_map()` generates `/hermes` subcommand routing\n- \n\n[...truncated AGENTS.md: 24,743 chars total]",
      "timestamp": 1776672534.514642
    },
    {
      "role": "assistant",
      "content": "Gefunden. Bug 4 — der Klassiker. `resolve_provider(\"lmstudio\")` mapped \"lmstudio\" auf \"custom\" in auth.py, also wird kein AuthError geworfen, und `_get_named_custom_provider` returned `None` bevor es überhaupt config.yaml checkt. Routing fällt durch zu OpenRouter.\n\nFix kommt:",
      "timestamp": 1776672534.515292
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"diff\": \"--- a//Users/rose/.hermes/hermes-agent/hermes_cli/runtime_provider.py\\n+++ b//Users/rose/.hermes/hermes-agent/hermes_cli/runtime_provider.py\\n@@ -288,11 +288,16 @@\\n         return None\\n     if not requested_norm.startswith(\\\"custom:\\\"):\\n         try:\\n-            auth_mod.resolve_provider(requested_norm)\\n+            _resolved_builtin = auth_mod.resolve_provider(requested_norm)\\n         except AuthError:\\n             pass\\n         else:\\n-            return None\\n+            # \\\"custom\\\" is an alias for local servers (lmstudio, ollama, vllm,\\n+            # etc.) that are typically defined in config.yaml providers dict.\\n+            # Don't short-circuit — continue to check for a user-defined\\n+            # provider entry matching the original name (e.g. \\\"lmstudio\\\").\\n+            if _resolved_builtin != \\\"custom\\\":\\n+                return None\\n \\n     config = load_config()\\n     \\n\", \"files_modified\": [\"/Users/rose/.hermes/hermes-agent/hermes_cli/runtime_provider.py\"], \"lint\": {\"status\": \"skipped\", \"message\": \"python not available\"}}",
      "timestamp": 1776672534.515521
    },
    {
      "role": "assistant",
      "content": "Jetzt pycache clearen und testen:",
      "timestamp": 1776672534.515799
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"/bin/bash: line 2: ../venv/bin/activate: No such file or directory\\n\", \"tool_calls_made\": 2, \"duration_seconds\": 3.56}",
      "timestamp": 1776672534.516798
    },
    {
      "role": "assistant",
      "content": "",
      "timestamp": 1776672534.5169878
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"/Users/rose/.hermes/hermes-agent/venv/bin/activate\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.45}",
      "timestamp": 1776672534.517181
    },
    {
      "role": "assistant",
      "content": "",
      "timestamp": 1776672534.5173771
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"Traceback (most recent call last):\\n  File \\\"<string>\\\", line 1, in <module>\\nTypeError: resolve_runtime_provider() takes 0 positional arguments but 1 was given\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.64}",
      "timestamp": 1776672534.5175302
    },
    {
      "role": "assistant",
      "content": "",
      "timestamp": 1776672534.517698
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"(*, requested: 'Optional[str]' = None, explicit_api_key: 'Optional[str]' = None, explicit_base_url: 'Optional[str]' = None) -> 'Dict[str, Any]'\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.44}",
      "timestamp": 1776672534.5178509
    },
    {
      "role": "assistant",
      "content": "",
      "timestamp": 1776672534.5180202
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"base_url: http://localhost:1234/v1\\napi_key: lm-studio...\\nprovider: custom\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.44}",
      "timestamp": 1776672534.518156
    },
    {
      "role": "assistant",
      "content": "Fix funktioniert. `resolve_runtime_provider(requested='lmstudio')` resolved jetzt korrekt auf `http://localhost:1234/v1` statt auf OpenRouter.\n\n**Was war das Problem:** `_get_named_custom_provider(\"lmstudio\")` hat `auth_mod.resolve_provider(\"lmstudio\")` aufgerufen, was erfolgreich war (weil \"lmstudio\" ein Alias für \"custom\" ist). Der `else`-Zweig hat dann `return None` gemacht — bevor config.yaml überhaupt gecheckt wurde. Dadurch fiel alles durch zum OpenRouter-Fallback.\n\n**Der Fix:** Wenn `resolve_provider()` den Wert \"custom\" zurückgibt (also nur ein Alias, kein echter builtin-Provider), wird nicht mehr abgebrochen. Stattdessen geht's weiter zum config.yaml-Lookup, wo der `providers.lmstudio`-Eintrag mit `base_url: http://localhost:1234/v1` gefunden wird.\n\nDas betrifft alle lokalen Server (lmstudio, ollama, vllm, llamacpp) — nicht nur LM Studio.\n\nNeustart des Gateway/WebUI übernimmt den Fix automatisch beim nächsten Start. Soll ich den Gateway neustarten?",
      "timestamp": 1776672534.518315
    }
  ],
  "tool_calls": [],
  "created_at": 1776672166.793563,
  "updated_at": 1776672534.518315,
  "pinned": false,
  "archived": false,
  "project_id": null,
  "profile": "default",
  "input_tokens": 0,
  "output_tokens": 0,
  "estimated_cost": null,
  "personality": null,
  "active_stream_id": null,
  "pending_user_message": null,
  "pending_attachments": [],
  "pending_started_at": null,
  "compression_anchor_visible_idx": null,
  "compression_anchor_message_key": null,
  "is_cli_session": true,
  "_cli_origin": "20260420_100120_66768e"
}