', flush=True)\\n print(f' Then open: {scheme}://localhost:{PORT}', flush=True)\\n print('', flush=True)\\n try:\\n httpd.serve_forever()\\n finally:\\n # Stop the gateway watcher on shutdown\\n try:\\n from api.gateway_watcher import stop_watcher\\n stop_watcher()\\n except Exception:\\n logger.debug(\\\"Failed to stop gateway watcher during shutdown\\\")\\n\\nif __name__ == '__main__':\\n main()\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.6047559
},
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"content": "{\"output\": \"AGENTS.md\\napi\\nARCHITECTURE.md\\nbootstrap-8787.log\\nbootstrap.py\\nBUGS.md\\nCHANGELOG.md\\nCONTRIBUTING.md\\ndocker_init.bash\\ndocker-compose.two-container.yml\\ndocker-compose.yml\\nDockerfile\\ndocs\\nHERMES.md\\nlast_workspace.txt\\nLICENSE\\nREADME.md\\nrequirements.txt\\nROADMAP.md\\nserver.py\\nsessions\\nsettings.json\\nsettings.json.backup-20260415-152843\\nSPRINTS.md\\nstart.sh\\nstatic\\nTESTING.md\\ntests\\nTHEMES.md\\nworkspaces.json\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.604992
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"content": "{\"output\": \"\\\"\\\"\\\"\\nHermes Web UI -- Route handlers for GET and POST endpoints.\\nExtracted from server.py (Sprint 11) so server.py is a thin shell.\\n\\\"\\\"\\\"\\n\\nimport html as _html\\nimport json\\nimport logging\\nimport os\\nimport queue\\nimport sys\\nimport threading\\nimport time\\nimport uuid\\nfrom pathlib import Path\\nfrom urllib.parse import parse_qs\\n\\nlogger = logging.getLogger(__name__)\\n\\nfrom api.config import (\\n STATE_DIR,\\n SESSION_DIR,\\n DEFAULT_WORKSPACE,\\n DEFAULT_MODEL,\\n SESSIONS,\\n SESSIONS_MAX,\\n LOCK,\\n STREAMS,\\n STREAMS_LOCK,\\n CANCEL_FLAGS,\\n SERVER_START_TIME,\\n CLI_TOOLSETS,\\n _INDEX_HTML_PATH,\\n get_available_models,\\n IMAGE_EXTS,\\n MD_EXTS,\\n MIME_MAP,\\n MAX_FILE_BYTES,\\n MAX_UPLOAD_BYTES,\\n CHAT_LOCK,\\n load_settings,\\n save_settings,\\n)\\nfrom api.helpers import (\\n require,\\n bad,\\n safe_resolve,\\n j,\\n t,\\n read_body,\\n _security_headers,\\n _sanitize_error,\\n redact_session_data,\\n _redact_text,\\n)\\nfrom api import mc as _mc\\n\\n# ── CSRF: validate Origin/Referer on POST ────────────────────────────────────\\nimport re as _re\\n\\n\\ndef _normalize_host_port(value: str) -> tuple[str, str | None]:\\n \\\"\\\"\\\"Split a host or host:port string into (hostname, port|None).\\n Handles IPv6 bracket notation, e.g. [::1]:8080.\\\"\\\"\\\"\\n value = value.strip().lower()\\n if not value:\\n return '', None\\n if value.startswith('['):\\n end = value.find(']')\\n if end != -1:\\n host = value[1:end]\\n rest = value[end + 1 :]\\n if rest.startswith(':') and rest[1:].isdigit():\\n return host, rest[1:]\\n return host, None\\n if value.count(':') == 1:\\n host, port = value.rsplit(':', 1)\\n if port.isdigit():\\n return host, port\\n return value, None\\n\\n\\ndef _ports_match(origin_scheme: str, origin_port: str | None, allowed_port: str | None) -> bool:\\n \\\"\\\"\\\"Return True when two ports should be considered equivalent, scheme-aware.\\n\\n Treats an absent port as the scheme default: port 80 for http, port 443 for https.\\n Port 80 is NOT treated as equivalent to 443 (different protocols = different origins).\\n \\\"\\\"\\\"\\n if origin_port == allowed_port:\\n return True\\n # Determine the default port for the origin's scheme\\n default = '443' if origin_scheme == 'https' else '80'\\n if not origin_port and allowed_port == default:\\n return True\\n if not allowed_port and origin_port == default:\\n return True\\n return False\\n\\n\\ndef _allowed_public_origins() -> set[str]:\\n \\\"\\\"\\\"Parse HERMES_WEBUI_ALLOWED_ORIGINS env var (comma-separated) into a set.\\n\\n Each entry must include the scheme, e.g. https://myapp.example.com:8000.\\n Entries without a scheme are silently skipped and a warning is printed.\\n \\\"\\\"\\\"\\n raw = os.getenv('HERMES_WEBUI_ALLOWED_ORIGINS', '')\\n result = set()\\n for value in raw.split(','):\\n value = value.strip().rstrip('/').lower()\\n if not value:\\n continue\\n if not (value.startswith('http://') or value.startswith('https://')):\\n import sys\\n print(\\n f\\\"[webui] WARNING: HERMES_WEBUI_ALLOWED_ORIGINS entry {value!r} is missing \\\"\\n f\\\"the scheme (expected https://hostname or http://hostname). Entry ignored.\\\",\\n flush=True, file=sys.stderr,\\n )\\n continue\\n result.add(value)\\n return result\\n\\n\\ndef _check_csrf(handler) -> bool:\\n \\\"\\\"\\\"Reject cross-origin POST requests. Returns True if OK.\\\"\\\"\\\"\\n origin = handler.headers.get(\\\"Origin\\\", \\\"\\\")\\n referer = handler.headers.get(\\\"Referer\\\", \\\"\\\")\\n host = handler.headers.get(\\\"Host\\\", \\\"\\\")\\n if not origin and not referer:\\n return True # non-browser clients (curl, agent) have no Origin\\n target = origin or referer\\n # Extract host:port from origin/referer\\n m = _re.match(r\\\"^https?://([^/]+)\\\", target)\\n if not m:\\n return False\\n origin_host = m.group(1)\\n origin_scheme = m.group(0).split('://')[0].lower() # 'http' or 'https'\\n origin_name, origin_port = _normalize_host_port(origin_host)\\n # Check against explicitly allowed public origins (env var)\\n origin_value = m.group(0).rstrip('/').lower()\\n if origin_value in _allowed_public_origins():\\n return True\\n # Allow same-origin: check Host, X-Forwarded-Host (reverse proxy), and\\n # X-Real-Host against the origin. Reverse proxies (Caddy, nginx) set\\n # X-Forwarded-Host to the client's original Host header.\\n allowed_hosts = [\\n h.strip()\\n for h in [\\n host,\\n handler.headers.get(\\\"X-Forwarded-Host\\\", \\\"\\\"),\\n handler.headers.get(\\\"X-Real-Host\\\", \\\"\\\"),\\n ]\\n if h.strip()\\n ]\\n for allowed in allowed_hosts:\\n allowed_name, allowed_port = _normalize_host_port(allowed)\\n if origin_name == allowed_name and _ports_match(origin_scheme, origin_port, allowed_port):\\n return True\\n return False\\n\\n\\nfrom api.models import (\\n Session,\\n get_session,\\n new_session,\\n all_sessions,\\n title_from,\\n _write_session_index,\\n SESSION_INDEX_FILE,\\n load_projects,\\n save_projects,\\n import_cli_session,\\n get_cli_sessions,\\n get_cli_session_messages,\\n)\\nfrom api.workspace import (\\n load_workspaces,\\n save_workspaces,\\n get_last_workspace,\\n set_last_workspace,\\n list_dir,\\n read_file_content,\\n safe_resolve_ws,\\n resolve_trusted_workspace,\\n)\\nfrom api.upload import handle_upload, handle_transcribe\\nfrom api.streaming import _sse, _run_agent_streaming, cancel_stream\\nfrom api.onboarding import (\\n apply_onboarding_setup,\\n get_onboarding_status,\\n complete_onboarding,\\n)\\n\\n# Approval system (optional -- graceful fallback if agent not available)\\ntry:\\n from tools.approval import (\\n submit_pending,\\n approve_session,\\n approve_permanent,\\n save_permanent_allowlist,\\n is_approved,\\n _pending,\\n _lock,\\n _permanent_approved,\\n resolve_gateway_approval,\\n )\\nexcept ImportError:\\n submit_pending = lambda *a, **k: None\\n approve_session = lambda *a, **k: None\\n approve_permanent = lambda *a, **k: None\\n save_permanent_allowlist = lambda *a, **k: None\\n is_approved = lambda *a, **k: True\\n resolve_gateway_approval = lambda *a, **k: 0\\n _pending = {}\\n _lock = threading.Lock()\\n _permanent_approved = set()\\n\\n# Clarify prompts (optional -- graceful fallback if agent not available)\\ntry:\\n from api.clarify import (\\n submit_pending as submit_clarify_pending,\\n get_pending as get_clarify_pending,\\n resolve_clarify,\\n )\\nexcept ImportError:\\n submit_clarify_pending = lambda *a, **k: None\\n get_clarify_pending = lambda *a, **k: None\\n resolve_clarify = lambda *a, **k: 0\\n\\n\\n# ── Login page locale strings ─────────────────────────────────────────────────\\n# Add entries here to support more languages on the login page.\\n# The key must match the 'language' setting value (from static/i18n.js LOCALES).\\n_LOGIN_LOCALE = {\\n \\\"en\\\": {\\n \\\"lang\\\": \\\"en\\\",\\n \\\"title\\\": \\\"Sign in\\\",\\n \\\"subtitle\\\": \\\"Enter your password to continue\\\",\\n \\\"placeholder\\\": \\\"Password\\\",\\n \\\"btn\\\": \\\"Sign in\\\",\\n \\\"invalid_pw\\\": \\\"Invalid password\\\",\\n \\\"conn_failed\\\": \\\"Connection failed\\\",\\n },\\n \\\"es\\\": {\\n \\\"lang\\\": \\\"es-ES\\\",\\n \\\"title\\\": \\\"Iniciar sesi\\\\u00f3n\\\",\\n \\\"subtitle\\\": \\\"Introduce tu contrase\\\\u00f1a para continuar\\\",\\n \\\"placeholder\\\": \\\"Contrase\\\\u00f1a\\\",\\n \\\"btn\\\": \\\"Entrar\\\",\\n \\\"invalid_pw\\\": \\\"Contrase\\\\u00f1a inv\\\\u00e1lida\\\",\\n \\\"conn_failed\\\": \\\"Error de conexi\\\\u00f3n\\\",\\n },\\n \\\"de\\\": {\\n \\\"lang\\\": \\\"de-DE\\\",\\n \\\"title\\\": \\\"Anmelden\\\",\\n \\\"subtitle\\\": \\\"Geben Sie Ihr Passwort ein, um fortzufahren\\\",\\n \\\"placeholder\\\": \\\"Passwort\\\",\\n \\\"btn\\\": \\\"Anmelden\\\",\\n \\\"invalid_pw\\\": \\\"Ung\\\\u00fcltiges Passwort\\\",\\n \\\"conn_failed\\\": \\\"Verbindung fehlgeschlagen\\\",\\n },\\n \\\"zh\\\": {\\n \\\"lang\\\": \\\"zh-CN\\\",\\n \\\"title\\\": \\\"\\\\u767b\\\\u5f55\\\",\\n \\\"subtitle\\\": \\\"\\\\u8f93\\\\u5165\\\\u5bc6\\\\u7801\\\\u7ee7\\\\u7eed\\\\u4f7f\\\\u7528\\\",\\n \\\"placeholder\\\": \\\"\\\\u5bc6\\\\u7801\\\",\\n \\\"btn\\\": \\\"\\\\u767b\\\\u5f55\\\",\\n \\\"invalid_pw\\\": \\\"\\\\u5bc6\\\\u7801\\\\u9519\\\\u8bef\\\",\\n \\\"conn_failed\\\": \\\"\\\\u8fde\\\\u63a5\\\\u5931\\\\u8d25\\\",\\n },\\n \\\"zh-Hant\\\": {\\n \\\"lang\\\": \\\"zh-TW\\\",\\n \\\"title\\\": \\\"\\\\u767b\\\\u5f55\\\",\\n \\\"subtitle\\\": \\\"\\\\u8f38\\\\u5165\\\\u5bc6\\\\u78bc\\\\u7e7c\\\\u7e8c\\\\u4f7f\\\\u7528\\\",\\n \\\"placeholder\\\": \\\"\\\\u5bc6\\\\u78bc\\\",\\n \\\"btn\\\": \\\"\\\\u767b\\\\u5f55\\\",\\n \\\"invalid_pw\\\": \\\"\\\\u5bc6\\\\u78bc\\\\u932f\\\\u8aa4\\\",\\n \\\"conn_failed\\\": \\\"\\\\u9023\\\\u63a5\\\\u5931\\\\u6557\\\",\\n },\\n}\\n\\n\\ndef _resolve_login_locale_key(raw_lang: str | None) -> str:\\n \\\"\\\"\\\"Resolve settings.language to a known _LOGIN_LOCALE key.\\\"\\\"\\\"\\n if not raw_lang:\\n return \\\"en\\\"\\n lang = str(raw_lang).strip()\\n if not lang:\\n return \\\"en\\\"\\n if lang in _LOGIN_LOCALE:\\n return lang\\n\\n normalized = lang.replace(\\\"_\\\", \\\"-\\\")\\n lower = normalized.lower()\\n\\n # Case-insensitive direct key match first.\\n for key in _LOGIN_LOCALE:\\n if key.lower() == lower:\\n return key\\n\\n # Common Chinese aliases.\\n if lower == \\\"zh\\\" or lower.startswith(\\\"zh-cn\\\") or lower.startswith(\\\"zh-sg\\\") or lower.startswith(\\\"zh-hans\\\"):\\n return \\\"zh\\\"\\n if lower.startswith(\\\"zh-tw\\\") or lower.startswith(\\\"zh-hk\\\") or lower.startswith(\\\"zh-mo\\\") or lower.startswith(\\\"zh-hant\\\"):\\n return \\\"zh-Hant\\\" if \\\"zh-Hant\\\" in _LOGIN_LOCALE else \\\"zh\\\"\\n\\n # Fallback to base language subtag (e.g. en-US -> en).\\n base = lower.split(\\\"-\\\", 1)[0]\\n for key in _LOGIN_LOCALE:\\n if key.lower() == base:\\n return key\\n return \\\"en\\\"\\n\\n# ── Login page (self-contained, no external deps) ────────────────────────────\\n_LOGIN_PAGE_HTML = \\\"\\\"\\\"\\n{{BOT_NAME}} — {{LOGIN_TITLE}} \\n\\n\\n
{{BOT_NAME_INITIAL}}
\\n
{{BOT_NAME}} \\n
{{LOGIN_SUBTITLE}}
\\n
\\n
\\n
\\n80: \\n87: \", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.609216
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"timestamp": 1776262323.609364
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"content": "{\"output\": \"2:let _skillsData = null; // cached skills list\\n14: if (name === 'skills') await loadSkills();\\n101: // Always re-fetch skills to avoid stale cache\\n103: api('/api/skills').then(d=>{_cronSkillsCache=d.skills||[];}).catch(()=>{});\\n172: if(_cronSelectedSkills.length)body.skills=_cronSelectedSkills;\\n359:async function loadSkills() {\\n360: if (_skillsData) { renderSkills(_skillsData); return; }\\n361: const box = $('skillsList');\\n363: const data = await api('/api/skills');\\n364: _skillsData = data.skills || [];\\n365: renderSkills(_skillsData);\\n369:function renderSkills(skills) {\\n370: const query = ($('skillsSearch').value || '').toLowerCase();\\n371: const filtered = query ? skills.filter(s =>\\n375: ) : skills;\\n383: const box = $('skillsList');\\n385: if (!filtered.length) { box.innerHTML = `${esc(t('skills_no_match'))}
`; return; }\\n388: sec.className = 'skills-category';\\n389: sec.innerHTML = ``;\\n401:function filterSkills() {\\n402: if (_skillsData) renderSkills(_skillsData);\\n410: const data = await api(`/api/skills/content?name=${encodeURIComponent(name)}`);\\n443: const data = await api(`/api/skills/content?name=${encodeURIComponent(skillName)}&file=${encodeURIComponent(filePath)}`);\\n485: await api('/api/skills/save', {method:'POST', body: JSON.stringify({name, category: category||undefined, content})});\\n487: _skillsData = null;\\n490: await loadSkills();\\n911: _skillsData = null;\\n973: if (_currentPanel === 'skills') await loadSkills();\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.6094332
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"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.609817
},
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"role": "assistant",
"content": "Jetzt habe ich das volle Bild. Ich mache jetzt beide Fixes:\n\n**1. LM Studio als echter Provider** — muss in `CANONICAL_PROVIDERS` + `_PROVIDER_MODELS`\n**2. Skills-UI** — Card-Layout, Kategorie-Filter, besser lesbar\n",
"timestamp": 1776262323.609905
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"role": "tool",
"content": "{\"content\": \" 459| hitting the Portal API on every call. The cache is short-lived so\\n 460| that an account upgrade is reflected within a few minutes.\\n 461|\\n 462| Returns False (assume paid) on any error — never blocks paying users.\\n 463| \\\"\\\"\\\"\\n 464| global _free_tier_cache\\n 465| import time\\n 466|\\n 467| now = time.monotonic()\\n 468| if _free_tier_cache is not None:\\n 469| cached_result, cached_at = _free_tier_cache\\n 470| if now - cached_at < _FREE_TIER_CACHE_TTL:\\n 471| return cached_result\\n 472|\\n 473| try:\\n 474| from hermes_cli.auth import get_provider_auth_state, resolve_nous_runtime_credentials\\n 475|\\n 476| # Ensure we have a fresh token (triggers refresh if needed)\\n 477| resolve_nous_runtime_credentials(min_key_ttl_seconds=60)\\n 478|\\n 479| state = get_provider_auth_state(\\\"nous\\\")\\n 480| if not state:\\n 481| _free_tier_cache = (False, now)\\n 482| return False\\n 483| access_token = state.get(\\\"access_token\\\", \\\"\\\")\\n 484| portal_url = state.get(\\\"portal_base_url\\\", \\\"\\\")\\n 485| if not access_token:\\n 486| _free_tier_cache = (False, now)\\n 487| return False\\n 488|\\n 489| account_info = fetch_nous_account_tier(access_token, portal_url)\\n 490| result = is_nous_free_tier(account_info)\\n 491| _free_tier_cache = (result, now)\\n 492| return result\\n 493| except Exception:\\n 494| _free_tier_cache = (False, now)\\n 495| return False # default to paid on error — don't block users\\n 496|\\n 497|\\n 498|# ---------------------------------------------------------------------------\\n 499|# Canonical provider list — single source of truth for provider identity.\\n 500|# Every code path that lists, displays, or iterates providers derives from\\n 501|# this list: hermes model, /model, /provider, list_authenticated_providers.\\n 502|#\\n 503|# Fields:\\n 504|# slug — internal provider ID (used in config.yaml, --provider flag)\\n 505|# label — short display name\\n 506|# tui_desc — longer description for the `hermes model` interactive picker\\n 507|# ---------------------------------------------------------------------------\\n 508|\\n 509|class ProviderEntry(NamedTuple):\\n 510| slug: str\\n 511| label: str\\n 512| tui_desc: str # detailed description for `hermes model` TUI\\n 513|\\n 514|\\n 515|CANONICAL_PROVIDERS: list[ProviderEntry] = [\\n 516| ProviderEntry(\\\"nous\\\", \\\"Nous Portal\\\", \\\"Nous Portal (Nous Research subscription)\\\"),\\n 517| ProviderEntry(\\\"openrouter\\\", \\\"OpenRouter\\\", \\\"OpenRouter (100+ models, pay-per-use)\\\"),\\n 518| ProviderEntry(\\\"anthropic\\\", \\\"Anthropic\\\", \\\"Anthropic (Claude models — API key or Claude Code)\\\"),\\n 519|\", \"total_lines\": 1969, \"file_size\": 71391, \"truncated\": true, \"hint\": \"Use offset=519 to continue reading (showing 459-518 of 1969 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.610006
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"timestamp": 1776262323.610225
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"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.610306
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"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 1, \"error\": null}",
"timestamp": 1776262323.610402
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"content": "",
"timestamp": 1776262323.610506
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"role": "tool",
"content": "{\"output\": \"73:_PROVIDER_MODELS: dict[str, list[str]] = {\\n599: Uses the first entry in _PROVIDER_MODELS as the default. This is the\\n606: models = _PROVIDER_MODELS.get(provider, [])\\n974: falling back to the static ``_PROVIDER_MODELS`` catalog if the API\\n987: models = _PROVIDER_MODELS.get(normalized, [])\\n1020: default_models = _PROVIDER_MODELS.get(resolved_provider, [])\\n1032: current_models = _PROVIDER_MODELS.get(current_provider, [])\\n1038: for pid, models in _PROVIDER_MODELS.items():\\n1238: return list(_PROVIDER_MODELS.get(\\\"copilot\\\", []))\\n1270: return list(_PROVIDER_MODELS.get(normalized, []))\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.61057
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"timestamp": 1776262323.610676
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"role": "tool",
"content": "{\"content\": \" 73|_PROVIDER_MODELS: dict[str, list[str]] = {\\n 74| \\\"nous\\\": [\\n 75| \\\"xiaomi/mimo-v2-pro\\\",\\n 76| \\\"anthropic/claude-opus-4.6\\\",\\n 77| \\\"anthropic/claude-sonnet-4.6\\\",\\n 78| \\\"anthropic/claude-sonnet-4.5\\\",\\n 79| \\\"anthropic/claude-haiku-4.5\\\",\\n 80| \\\"openai/gpt-5.4\\\",\\n 81| \\\"openai/gpt-5.4-mini\\\",\\n 82| \\\"openai/gpt-5.3-codex\\\",\\n 83| \\\"google/gemini-3-pro-preview\\\",\\n 84| \\\"google/gemini-3-flash-preview\\\",\\n 85| \\\"google/gemini-3.1-pro-preview\\\",\\n 86| \\\"google/gemini-3.1-flash-lite-preview\\\",\\n 87| \\\"qwen/qwen3.5-plus-02-15\\\",\\n 88| \\\"qwen/qwen3.5-35b-a3b\\\",\\n 89| \\\"stepfun/step-3.5-flash\\\",\\n 90| \\\"minimax/minimax-m2.7\\\",\\n 91| \\\"minimax/minimax-m2.5\\\",\\n 92| \\\"z-ai/glm-5.1\\\",\\n 93| \\\"z-ai/glm-5v-turbo\\\",\\n 94| \\\"z-ai/glm-5-turbo\\\",\\n 95| \\\"moonshotai/kimi-k2.5\\\",\\n 96| \\\"x-ai/grok-4.20-beta\\\",\\n 97| \\\"nvidia/nemotron-3-super-120b-a12b\\\",\\n 98| \\\"nvidia/nemotron-3-super-120b-a12b:free\\\",\\n 99| \\\"arcee-ai/trinity-large-preview:free\\\",\\n 100| \\\"arcee-ai/trinity-large-thinking\\\",\\n 101| \\\"openai/gpt-5.4-pro\\\",\\n 102| \\\"openai/gpt-5.4-nano\\\",\\n 103| \\\"openrouter/elephant-alpha\\\",\\n 104| ],\\n 105| \\\"openai-codex\\\": _codex_curated_models(),\\n 106| \\\"copilot-acp\\\": [\\n 107| \\\"copilot-acp\\\",\\n 108| ],\\n 109| \\\"copilot\\\": [\\n 110| \\\"gpt-5.4\\\",\\n 111| \\\"gpt-5.4-mini\\\",\\n 112| \\\"gpt-5-mini\\\",\\n 113| \\\"gpt-5.3-codex\\\",\\n 114| \\\"gpt-5.2-codex\\\",\\n 115| \\\"gpt-4.1\\\",\\n 116| \\\"gpt-4o\\\",\\n 117| \\\"gpt-4o-mini\\\",\\n 118| \\\"claude-opus-4.6\\\",\\n 119| \\\"claude-sonnet-4.6\\\",\\n 120| \\\"claude-sonnet-4.5\\\",\\n 121| \\\"claude-haiku-4.5\\\",\\n 122| \\\"gemini-2.5-pro\\\",\\n 123| \\\"grok-code-fast-1\\\",\\n 124| ],\\n 125| \\\"gemini\\\": [\\n 126| \\\"gemini-3.1-pro-preview\\\",\\n 127| \\\"gemini-3-flash-preview\\\",\\n 128| \\\"gemini-3.1-flash-lite-preview\\\",\\n 129| \\\"gemini-2.5-pro\\\",\\n 130| \\\"gemini-2.5-flash\\\",\\n 131| \\\"gemini-2.5-flash-lite\\\",\\n 132| # Gemma open models (also served via AI Studio)\\n 133| \\\"gemma-4-31b-it\\\",\\n 134| \\\"gemma-4-26b-it\\\",\\n 135| ],\\n 136| \\\"zai\\\": [\\n 137| \\\"glm-5.1\\\",\\n 138| \\\"glm-5\\\",\\n 139| \\\"glm-5v-turbo\\\",\\n 140| \\\"glm-5-turbo\\\",\\n 141| \\\"glm-4.7\\\",\\n 142| \\\"glm-4.5\\\",\\n 143| \\\"glm-4.5-flash\\\",\\n 144| ],\\n 145| \\\"xai\\\": [\\n 146| \\\"grok-4.20-0309-reasoning\\\",\\n 147| \\\"grok-4.20-0309-non-reasoning\\\",\\n 148| \\\"grok-4.20-multi-agent-0309\\\",\\n 149| \\\"grok-4-1-fast-reasoning\\\",\\n 150| \\\"grok-4-1-fast-non-reasoning\\\",\\n 151| \\\"grok-4-fast-reasoning\\\",\\n 152| \\\"grok-4-fast-non-reasoning\\\",\\n 153| \\\"grok-4-0709\\\",\\n 154| \\\"grok-code-fast-1\\\",\\n 155| \\\"grok-3\\\",\\n 156| \\\"grok-3-mini\\\",\\n 157| ],\\n 158| \\\"kimi-coding\\\": [\\n 159| \\\"kimi-for-coding\\\",\\n 160| \\\"kimi-k2.5\\\",\\n 161| \\\"kimi-k2-thinking\\\",\\n 162| \\\"kimi-k2-thinking-turbo\\\",\\n 163| \\\"kimi-k2-turbo-preview\\\",\\n 164| \\\"kimi-k2-0905-preview\\\",\\n 165| ],\\n 166| \\\"kimi-coding-cn\\\": [\\n 167| \\\"kimi-k2.5\\\",\\n 168| \\\"kimi-k2-thinking\\\",\\n 169| \\\"kimi-k2-turbo-preview\\\",\\n 170| \\\"kimi-k2-0905-preview\\\",\\n 171| ],\\n 172| \\\"moonshot\\\": [\\n 173| \\\"kimi-k2.5\\\",\\n 174| \\\"kimi-k2-thinking\\\",\\n 175| \\\"kimi-k2-turbo-preview\\\",\\n 176| \\\"kimi-k2-0905-preview\\\",\\n 177| ],\\n 178| \\\"minimax\\\": [\\n 179| \\\"MiniMax-M2.7\\\",\\n 180| \\\"MiniMax-M2.5\\\",\\n 181| \\\"MiniMax-M2.1\\\",\\n 182| \\\"MiniMax-M2\\\",\\n 183| ],\\n 184| \\\"minimax-cn\\\": [\\n 185| \\\"MiniMax-M2.7\\\",\\n 186| \\\"MiniMax-M2.5\\\",\\n 187| \\\"MiniMax-M2.1\\\",\\n 188| \\\"MiniMax-M2\\\",\\n 189| ],\\n 190| \\\"anthropic\\\": [\\n 191| \\\"claude-opus-4-6\\\",\\n 192| \\\"claude-sonnet-4-6\\\",\\n 193|\", \"total_lines\": 1969, \"file_size\": 71391, \"truncated\": true, \"hint\": \"Use offset=193 to continue reading (showing 73-192 of 1969 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.6107662
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.610949
},
{
"role": "tool",
"content": "{\"content\": \" 193| \\\"claude-opus-4-5-20251101\\\",\\n 194| \\\"claude-sonnet-4-5-20250929\\\",\\n 195| \\\"claude-opus-4-20250514\\\",\\n 196| \\\"claude-sonnet-4-20250514\\\",\\n 197| \\\"claude-haiku-4-5-20251001\\\",\\n 198| ],\\n 199| \\\"deepseek\\\": [\\n 200| \\\"deepseek-chat\\\",\\n 201| \\\"deepseek-reasoner\\\",\\n 202| ],\\n 203| \\\"xiaomi\\\": [\\n 204| \\\"mimo-v2-pro\\\",\\n 205| \\\"mimo-v2-omni\\\",\\n 206| \\\"mimo-v2-flash\\\",\\n 207| ],\\n 208| \\\"arcee\\\": [\\n 209| \\\"trinity-large-thinking\\\",\\n 210| \\\"trinity-large-preview\\\",\\n 211| \\\"trinity-mini\\\",\\n 212| ],\\n 213| \\\"opencode-zen\\\": [\\n 214| \\\"gpt-5.4-pro\\\",\\n 215| \\\"gpt-5.4\\\",\\n 216| \\\"gpt-5.3-codex\\\",\\n 217| \\\"gpt-5.3-codex-spark\\\",\\n 218| \\\"gpt-5.2\\\",\\n 219| \\\"gpt-5.2-codex\\\",\\n 220| \\\"gpt-5.1\\\",\\n 221| \\\"gpt-5.1-codex\\\",\\n 222| \\\"gpt-5.1-codex-max\\\",\\n 223|\", \"total_lines\": 1969, \"file_size\": 71391, \"truncated\": true, \"hint\": \"Use offset=223 to continue reading (showing 193-222 of 1969 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.611021
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.611192
},
{
"role": "tool",
"content": "{\"output\": \"543:_PROVIDER_LABELS[\\\"custom\\\"] = \\\"Custom endpoint\\\" # special case: not a named provider\\n869: | {\\\"openrouter\\\", \\\"custom\\\"}\\n882: # Derive display order from canonical list + custom\\n883: provider_order = [p.slug for p in CANONICAL_PROVIDERS] + [\\\"custom\\\"]\\n898: if pid == \\\"custom\\\":\\n899: custom_base_url = _get_custom_base_url() or \\\"\\\"\\n900: has_creds = bool(custom_base_url.strip())\\n940: # Support custom:name:model triple syntax for named custom\\n941: # providers. ``custom:local:qwen`` → (\\\"custom:local\\\", \\\"qwen\\\").\\n942: # Single colon ``custom:qwen`` → (\\\"custom\\\", \\\"qwen\\\") as before.\\n943: if provider_part == \\\"custom\\\" and \\\":\\\" in model_part:\\n945: custom_name = model_part[:second_colon].strip()\\n947: if custom_name and actual_model:\\n948: return (f\\\"custom:{custom_name}\\\", actual_model)\\n953:def _get_custom_base_url() -> str:\\n954: \\\"\\\"\\\"Get the custom endpoint base_url from config.yaml.\\\"\\\"\\\"\\n982: live = provider_model_ids(normalized)\\n1016: # Skip \\\"custom\\\" and \\\"openrouter\\\" — custom has no model catalog, and\\n1019: if resolved_provider not in {\\\"custom\\\", \\\"openrouter\\\"}:\\n1217:def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False) -> list[str]:\\n1258: if normalized == \\\"custom\\\":\\n1259: base_url = _get_custom_base_url()\\n1261: # Try common API key env vars for custom endpoints\\n1790: normalized = \\\"custom\\\"\\n1814: if normalized == \\\"custom\\\":\\n1843: f\\\"Note: `{requested}` was not found in this custom endpoint's model listing \\\"\\n1861: f\\\"Note: could not reach this custom endpoint's model listing at `{probe.get('probed_url')}`. \\\"\\n1877: codex_models = provider_model_ids(\\\"openai-codex\\\")\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.611287
},
{
"role": "tool",
"content": "{\"output\": \"982: live = provider_model_ids(normalized)\\n1217:def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False) -> list[str]:\\n1877: codex_models = provider_model_ids(\\\"openai-codex\\\")\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.611427
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.61154
},
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"role": "tool",
"content": "{\"content\": \" 710| # 4. Detect available providers.\\n 711| # Primary: ask hermes-agent's auth layer — the authoritative source. It checks\\n 712| # auth.json, credential pools, and env vars the same way the agent does at runtime,\\n 713| # so the dropdown reflects exactly what the user has configured.\\n 714| # Fallback: scan raw API key env vars (matches old behaviour if hermes not available).\\n 715| detected_providers = set()\\n 716| if active_provider:\\n 717| detected_providers.add(active_provider)\\n 718| all_env: dict = {} # profile .env keys — populated below, used by custom endpoint auth\\n 719|\\n 720| _hermes_auth_used = False\\n 721| try:\\n 722| from hermes_cli.models import list_available_providers as _lap\\n 723| from hermes_cli.auth import get_auth_status as _gas\\n 724|\\n 725| for _p in _lap():\\n 726| if not _p.get(\\\"authenticated\\\"):\\n 727| continue\\n 728| # Exclude providers whose credential came from an ambient token\\n 729| # (e.g. 'gh auth token' for Copilot on a machine with gh CLI auth).\\n 730| # Only include providers with an explicit, dedicated credential.\\n 731| try:\\n 732| _src = _gas(_p[\\\"id\\\"]).get(\\\"key_source\\\", \\\"\\\")\\n 733| if _src == \\\"gh auth token\\\":\\n 734| continue\\n 735| except Exception:\\n 736| logger.debug(\\\"Failed to get key source for provider %s\\\", _p.get(\\\"id\\\", \\\"unknown\\\"))\\n 737| detected_providers.add(_p[\\\"id\\\"])\\n 738| _hermes_auth_used = True\\n 739| except Exception:\\n 740| logger.debug(\\\"Failed to detect auth providers from hermes\\\")\\n 741|\\n 742| if not _hermes_auth_used:\\n 743| # Fallback: scan .env and os.environ for known API key variables\\n 744| try:\\n 745| from api.profiles import get_active_hermes_home as _gah2\\n 746|\\n 747| hermes_env_path = _gah2() / \\\".env\\\"\\n 748| except ImportError:\\n 749| hermes_env_path = HOME / \\\".hermes\\\" / \\\".env\\\"\\n 750| env_keys = {}\\n 751| if hermes_env_path.exists():\\n 752| try:\\n 753| for line in hermes_env_path.read_text().splitlines():\\n 754| line = line.strip()\\n 755| if line and not line.startswith(\\\"#\\\") and \\\"=\\\" in line:\\n 756| k, v = line.split(\\\"=\\\", 1)\\n 757| env_keys[k.strip()] = v.strip().strip('\\\"').strip(\\\"'\\\")\\n 758| except Exception:\\n 759| logger.debug(\\\"Failed to parse hermes env file\\\")\\n 760| all_env = {**env_keys}\\n 761| for k in (\\n 762| \\\"ANTHROPIC_API_KEY\\\",\\n 763| \\\"OPENAI_API_KEY\\\",\\n 764| \\\"OPENROUTER_API_KEY\\\",\\n 765| \\\"GOOGLE_API_KEY\\\",\\n 766| \\\"GLM_API_KEY\\\",\\n 767| \\\"KIMI_API_KEY\\\",\\n 768| \\\"DEEPSEEK_API_KEY\\\",\\n 769| \\\"OPENCODE_ZEN_API_KEY\\\",\\n 770| \\\"OPENCODE_GO_API_KEY\\\",\\n 771| ):\\n 772| val = os.getenv(k)\\n 773| if val:\\n 774| all_env[k] = val\\n 775| if all_env.get(\\\"ANTHROPIC_API_KEY\\\"):\\n 776| detected_providers.add(\\\"anthropic\\\")\\n 777| if all_env.get(\\\"OPENAI_API_KEY\\\"):\\n 778| detected_providers.add(\\\"openai\\\")\\n 779| if all_env.get(\\\"OPENROUTER_API_KEY\\\"):\\n 780| detected_providers.add(\\\"openrouter\\\")\\n 781| if all_env.get(\\\"GOOGLE_API_KEY\\\"):\\n 782| detected_providers.add(\\\"google\\\")\\n 783| if all_env.get(\\\"GLM_API_KEY\\\"):\\n 784| detected_providers.add(\\\"zai\\\")\\n 785| if all_env.get(\\\"KIMI_API_KEY\\\"):\\n 786| detected_providers.add(\\\"kimi-coding\\\")\\n 787| if all_env.get(\\\"MINIMAX_API_KEY\\\") or all_env.get(\\\"MINIMAX_CN_API_KEY\\\"):\\n 788| detected_providers.add(\\\"minimax\\\")\\n 789| if all_env.get(\\\"DEEPSEEK_API_KEY\\\"):\\n 790| detected_providers.add(\\\"deepseek\\\")\\n 791| if all_env.get(\\\"OPENCODE_ZEN_API_KEY\\\"):\\n 792| detected_providers.add(\\\"opencode-zen\\\")\\n 793| if all_env.get(\\\"OPENCODE_GO_API_KEY\\\"):\\n 794| detected_providers.add(\\\"opencode-go\\\")\\n 795|\\n 796| # 3. Fetch models from custom endpoint if base_url is configured\\n 797| auto_detected_models = []\\n 798| if cfg_base_url:\\n 799| try:\\n 800| import ipaddress\\n 801| import urllib.request\\n 802|\\n 803| # Normalize the base_url and build models endpoint\\n 804| base_url = cfg_base_url.strip()\\n 805| if base_url.endswith(\\\"/v1\\\"):\\n 806| endpoint_url = base_url + \\\"/models\\\" # /v1/models\\n 807| else:\\n 808| endpoint_url = base_url.rstrip(\\\"/\\\") + \\\"/v1/models\\\"\\n 809|\\n 810| # Detect provider from base_url\\n 811| provider = \\\"custom\\\"\\n 812| parsed = urlparse(base_url if \\\"://\\\" in base_url else f\\\"http://{base_url}\\\")\\n 813| host = (parsed.netloc or parsed.path).lower()\\n 814|\\n 815| if parsed.hostname:\\n 816| try:\\n 817| addr = ipaddress.ip_address(parsed.hostname)\\n 818| if addr.is_private or addr.is_loopback or addr.is_link_local:\\n 819| if (\\n 820| \\\"ollama\\\" in host\\n 821| or \\\"127.0.0.1\\\" in host\\n 822| or \\\"localhost\\\" in host\\n 823| ):\\n 824| provider = \\\"ollama\\\"\\n 825| elif \\\"lmstudio\\\" in host or \\\"lm-studio\\\" in host:\\n 826| provider = \\\"lmstudio\\\"\\n 827| else:\\n 828| provider = \\\"local\\\"\\n 829| except ValueError:\\n 830|\", \"total_lines\": 1247, \"file_size\": 51517, \"truncated\": true, \"hint\": \"Use offset=830 to continue reading (showing 710-829 of 1247 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.611638
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.611866
},
{
"role": "tool",
"content": "{\"content\": \" 960| if detected_providers:\\n 961| for pid in sorted(detected_providers):\\n 962| provider_name = _PROVIDER_DISPLAY.get(pid, pid.title())\\n 963| if pid == \\\"openrouter\\\":\\n 964| # OpenRouter uses provider/model format -- show the fallback list\\n 965| groups.append(\\n 966| {\\n 967| \\\"provider\\\": \\\"OpenRouter\\\",\\n 968| \\\"models\\\": [\\n 969| {\\\"id\\\": m[\\\"id\\\"], \\\"label\\\": m[\\\"label\\\"]}\\n 970| for m in _FALLBACK_MODELS\\n 971| ],\\n 972| }\\n 973| )\\n 974| elif pid in _PROVIDER_MODELS:\\n 975| # For non-default providers, prefix model IDs with @provider:model\\n 976| # so resolve_model_provider() routes through that specific provider\\n 977| # via resolve_runtime_provider(requested=provider).\\n 978| # The default provider's models keep bare names for direct API routing.\\n 979| raw_models = _PROVIDER_MODELS[pid]\\n 980| _active = (active_provider or \\\"\\\").lower()\\n 981| if _active and pid != _active:\\n 982| models = []\\n 983| for m in raw_models:\\n 984| mid = m[\\\"id\\\"]\\n 985| # Don't double-prefix; use @provider: hint for bare names\\n 986| if mid.startswith(\\\"@\\\") or \\\"/\\\" in mid:\\n 987| models.append({\\\"id\\\": mid, \\\"label\\\": m[\\\"label\\\"]})\\n 988| else:\\n 989| models.append({\\\"id\\\": f\\\"@{pid}:{mid}\\\", \\\"label\\\": m[\\\"label\\\"]})\\n 990| else:\\n 991| models = list(raw_models)\\n 992| groups.append(\\n 993| {\\n 994| \\\"provider\\\": provider_name,\\n 995| \\\"models\\\": models,\\n 996| }\\n 997| )\\n 998| else:\\n 999| # Unknown provider -- use auto-detected models if available,\\n 1000| # otherwise fall back to default model placeholder\\n 1001| if auto_detected_models:\\n 1002| groups.append(\\n 1003| {\\n 1004| \\\"provider\\\": provider_name,\\n 1005| \\\"models\\\": auto_detected_models,\\n 1006| }\\n 1007| )\\n 1008| else:\\n 1009| groups.append(\\n 1010| {\\n 1011| \\\"provider\\\": provider_name,\\n 1012| \\\"models\\\": [\\n 1013| {\\n 1014| \\\"id\\\": default_model,\\n 1015| \\\"label\\\": default_model.split(\\\"/\\\")[-1],\\n 1016| }\\n 1017| ],\\n 1018| }\\n 1019| )\\n 1020| else:\\n 1021| # No providers detected. Show only the configured default model so the user\\n 1022| # can at least send messages with their current setting. Avoid showing a\\n 1023| # generic multi-provider list — those models wouldn't be routable anyway.\\n 1024| label = default_model.split(\\\"/\\\")[-1] if \\\"/\\\" in default_model else default_model\\n 1025| groups.append(\\n 1026| {\\\"provider\\\": \\\"Default\\\", \\\"models\\\": [{\\\"id\\\": default_model, \\\"label\\\": label}]}\\n 1027| )\\n 1028|\\n 1029| # Ensure the user's configured default_model always appears in the dropdown.\\n 1030| # It may be missing if the model isn't in any hardcoded list (e.g. openrouter/free,\\n 1031| # a custom local model, or any model.default not in _FALLBACK_MODELS).\\n 1032| # Normalize before comparing: strip provider prefix and unify separators so\\n 1033| # 'anthropic/claude-opus-4.6' matches 'claude-opus-4.6' and 'claude-sonnet-4-6'\\n 1034| # matches 'claude-sonnet-4.6' (hermes-agent uses hyphens, webui uses dots).\\n 1035| if default_model:\\n 1036| _norm = lambda mid: (mid.split(\\\"/\\\", 1)[-1] if \\\"/\\\" in mid else mid).replace(\\\"-\\\", \\\".\\\")\\n 1037| all_ids_norm = {_norm(m[\\\"id\\\"]) for g in groups for m in g.get(\\\"models\\\", [])}\\n 1038| if _norm(default_model) not in all_ids_norm:\\n 1039| # Determine which group to inject into. Compare against the\\n 1040| # provider's display name from _PROVIDER_DISPLAY rather than\\n 1041| # doing a substring match on active_provider — substring\\n 1042| # matching breaks on hyphenated provider IDs like 'openai-codex'\\n 1043| # vs display name 'OpenAI Codex' (hyphen vs. space), which\\n 1044| # silently falls through to groups[0] and lands the model in\\n 1045| # the wrong group.\\n 1046| label = (\\n 1047| default_model.split(\\\"/\\\")[-1] if \\\"/\\\" in default_model else default_model\\n 1048| )\\n 1049| target_display = (\\n 1050| _PROVIDER_DISPLAY.get(active_provider, active_provider or \\\"\\\").lower()\\n 1051| if active_provider\\n 1052| else \\\"\\\"\\n 1053| )\\n 1054| injected = False\\n 1055| for g in groups:\\n 1056| if target_display and g.get(\\\"provider\\\", \\\"\\\").lower() == target_display:\\n 1057| g[\\\"models\\\"].insert(0, {\\\"id\\\": default_model, \\\"label\\\": label})\\n 1058| injected = True\\n 1059| break\\n 1060| if not injected and groups:\\n 1061| groups[0][\\\"models\\\"].insert(0, {\\\"id\\\": default_model, \\\"label\\\": label})\\n 1062| elif not groups:\\n 1063| groups.append(\\n 1064| {\\n 1065| \\\"provider\\\": active_provider or \\\"Default\\\",\\n 1066| \\\"models\\\": [{\\\"id\\\": default_model, \\\"label\\\": label}],\\n 1067| }\\n 1068| )\\n 1069|\\n 1070| return {\\n 1071| \\\"active_provider\\\": active_provider,\\n 1072| \\\"default_model\\\": default_model,\\n 1073| \\\"groups\\\": groups,\\n 1074| }\\n 1075|\\n 1076|\\n 1077|# ── Static file path ─────────────────────────────────────────────────────────\\n 1078|_INDEX_HTML_PATH = REPO_ROOT / \\\"static\\\" / \\\"index.html\\\"\\n 1079|\\n 1080|# ── Thread synchronisation ───────────────────────────────────────────────────\\n 1081|LOCK = threading.Lock()\\n 1082|SESSIONS_MAX = 100\\n 1083|CHAT_LOCK = threading.Lock()\\n 1084|STREAMS: dict = {}\\n 1085|STREAMS_LOCK = threading.Lock()\\n 1086|CANCEL_FLAGS: dict = {}\\n 1087|AGENT_INSTANCES: dict = {} # stream_id -> AIAgent instance for interrupt propagation\\n 1088|SERVER_START_TIME = time.time()\\n 1089|\\n 1090|\", \"total_lines\": 1247, \"file_size\": 51517, \"truncated\": true, \"hint\": \"Use offset=1090 to continue reading (showing 960-1089 of 1247 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.611954
},
{
"role": "assistant",
"content": "Jetzt sehe ich das Problem komplett. LM Studio hat keinen Eintrag in `CANONICAL_PROVIDERS` und `provider_model_ids(\"lmstudio\")` returned eine leere Liste. Ich fixe das jetzt:\n",
"timestamp": 1776262323.6121879
},
{
"role": "tool",
"content": "{\"content\": \" 1255| live = _fetch_ai_gateway_models()\\n 1256| if live:\\n 1257| return live\\n 1258| if normalized == \\\"custom\\\":\\n 1259| base_url = _get_custom_base_url()\\n 1260| if base_url:\\n 1261| # Try common API key env vars for custom endpoints\\n 1262| api_key = (\\n 1263| os.getenv(\\\"CUSTOM_API_KEY\\\", \\\"\\\")\\n 1264| or os.getenv(\\\"OPENAI_API_KEY\\\", \\\"\\\")\\n 1265| or os.getenv(\\\"OPENROUTER_API_KEY\\\", \\\"\\\")\\n 1266| )\\n 1267| live = fetch_api_models(api_key, base_url)\\n 1268| if live:\\n 1269| return live\\n 1270| return list(_PROVIDER_MODELS.get(normalized, []))\\n 1271|\\n 1272|\\n 1273|def _fetch_anthropic_models(timeout: float = 5.0) -> Optional[list[str]]:\\n 1274| \\\"\\\"\\\"Fetch available models from the Anthropic /v1/models endpoint.\\n 1275|\\n 1276| Uses resolve_anthropic_token() to find credentials (env vars or\\n 1277| Claude Code auto-discovery). Returns sorted model IDs or None.\\n 1278| \\\"\\\"\\\"\\n 1279| try:\\n 1280| from agent.anthropic_adapter import resolve_anthropic_token, _is_oauth_token\\n 1281| except ImportError:\\n 1282| return None\\n 1283|\\n 1284| token = resolve_anthropic_token()\\n 1285| if not token:\\n 1286| return None\\n 1287|\\n 1288| headers: dict[str, str] = {\\\"anthropic-version\\\": \\\"2023-06-01\\\"}\\n 1289| if _is_oauth_token(token):\\n 1290| headers[\\\"Authorization\\\"] = f\\\"Bearer {token}\\\"\\n 1291| from agent.anthropic_adapter import _COMMON_BETAS, _OAUTH_ONLY_BETAS\\n 1292| headers[\\\"anthropic-beta\\\"] = \\\",\\\".join(_COMMON_BETAS + _OAUTH_ONLY_BETAS)\\n 1293| else:\\n 1294| headers[\\\"x-api-key\\\"] = token\\n 1295|\", \"total_lines\": 1969, \"file_size\": 71391, \"truncated\": true, \"hint\": \"Use offset=1295 to continue reading (showing 1255-1294 of 1969 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.6123269
},
{
"role": "assistant",
"content": "Jetzt verstehe ich das Problem vollständig. `provider_model_ids(\"lmstudio\")` returned `[]` weil LM Studio kein Canonical Provider ist und keine `_fetch_lmstudio_models` existiert.\n\nIch fixe jetzt beide Probleme — LM Studio + Skills UI:\n",
"timestamp": 1776262323.612488
},
{
"role": "tool",
"content": "{\"content\": \" 1217|def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False) -> list[str]:\\n 1218| \\\"\\\"\\\"Return the best known model catalog for a provider.\\n 1219|\\n 1220| Tries live API endpoints for providers that support them (Codex, Nous),\\n 1221| falling back to static lists.\\n 1222| \\\"\\\"\\\"\\n 1223| normalized = normalize_provider(provider)\\n 1224| if normalized == \\\"openrouter\\\":\\n 1225| return model_ids(force_refresh=force_refresh)\\n 1226| if normalized == \\\"openai-codex\\\":\\n 1227| from hermes_cli.codex_models import get_codex_model_ids\\n 1228|\\n 1229| return get_codex_model_ids()\\n 1230| if normalized in {\\\"copilot\\\", \\\"copilot-acp\\\"}:\\n 1231| try:\\n 1232| live = _fetch_github_models(_resolve_copilot_catalog_api_key())\\n 1233| if live:\\n 1234| return live\\n 1235| except Exception:\\n 1236| pass\\n 1237| if normalized == \\\"copilot-acp\\\":\\n 1238| return list(_PROVIDER_MODELS.get(\\\"copilot\\\", []))\\n 1239| if normalized == \\\"nous\\\":\\n 1240| # Try live Nous Portal /models endpoint\\n 1241| try:\\n 1242| from hermes_cli.auth import fetch_nous_models, resolve_nous_runtime_credentials\\n 1243| creds = resolve_nous_runtime_credentials()\\n 1244| if creds:\\n 1245| live = fetch_nous_models(api_key=creds.get(\\\"api_key\\\", \\\"\\\"), inference_base_url=creds.get(\\\"base_url\\\", \\\"\\\"))\\n 1246| if live:\\n 1247| return live\\n 1248| except Exception:\\n 1249| pass\\n 1250| if normalized == \\\"anthropic\\\":\\n 1251| live = _fetch_anthropic_models()\\n 1252| if live:\\n 1253| return live\\n 1254| if normalized == \\\"ai-gateway\\\":\\n 1255| live = _fetch_ai_gateway_models()\\n 1256| if live:\\n 1257| return live\\n 1258| if normalized == \\\"custom\\\":\\n 1259| base_url = _get_custom_base_url()\\n 1260| if base_url:\\n 1261| # Try common API key env vars for custom endpoints\\n 1262| api_key = (\\n 1263| os.getenv(\\\"CUSTOM_API_KEY\\\", \\\"\\\")\\n 1264| or os.getenv(\\\"OPENAI_API_KEY\\\", \\\"\\\")\\n 1265| or os.getenv(\\\"OPENROUTER_API_KEY\\\", \\\"\\\")\\n 1266| )\\n 1267| live = fetch_api_models(api_key, base_url)\\n 1268| if live:\\n 1269| return live\\n 1270| return list(_PROVIDER_MODELS.get(normalized, []))\\n 1271|\\n 1272|\\n 1273|def _fetch_anthropic_models(timeout: float = 5.0) -> Optional[list[str]]:\\n 1274| \\\"\\\"\\\"Fetch available models from the Anthropic /v1/models endpoint.\\n 1275|\\n 1276| Uses resolve_anthropic_token() to find credentials (env vars or\\n 1277| Claude Code auto-discovery). Returns sorted model IDs or None.\\n 1278| \\\"\\\"\\\"\\n 1279| try:\\n 1280| from agent.anthropic_adapter import resolve_anthropic_token, _is_oauth_token\\n 1281| except ImportError:\\n 1282| return None\\n 1283|\\n 1284| token = resolve_anthropic_token()\\n 1285| if not token:\\n 1286| return None\\n 1287|\", \"total_lines\": 1969, \"file_size\": 71391, \"truncated\": true, \"hint\": \"Use offset=1287 to continue reading (showing 1217-1286 of 1969 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.6126232
},
{
"role": "assistant",
"content": "\nJetzt habe ich das volle Bild. LM Studio fehlt komplett in `CANONICAL_PROVIDERS` und hat keine Live-Fetch-Logik. Ich fixe das:\n",
"timestamp": 1776262323.6130838
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n+++ b//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n@@ -513,6 +513,7 @@\\n \\n \\n CANONICAL_PROVIDERS: list[ProviderEntry] = [\\n+ ProviderEntry(\\\"lmstudio\\\", \\\"LM Studio\\\", \\\"LM Studio (local OpenAI-compatible server)\\\"),\\n ProviderEntry(\\\"nous\\\", \\\"Nous Portal\\\", \\\"Nous Portal (Nous Research subscription)\\\"),\\n ProviderEntry(\\\"openrouter\\\", \\\"OpenRouter\\\", \\\"OpenRouter (100+ models, pay-per-use)\\\"),\\n ProviderEntry(\\\"anthropic\\\", \\\"Anthropic\\\", \\\"Anthropic (Claude models — API key or Claude Code)\\\"),\\n\", \"files_modified\": [\"/Users/rose/.hermes/hermes-agent/hermes_cli/models.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"timestamp": 1776262323.613197
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.613308
},
{
"role": "tool",
"content": "{\"content\": \" 73|_PROVIDER_MODELS: dict[str, list[str]] = {\\n 74| \\\"nous\\\": [\\n 75| \\\"xiaomi/mimo-v2-pro\\\",\\n 76| \\\"anthropic/claude-opus-4.6\\\",\\n 77| \\\"anthropic/claude-sonnet-4.6\\\",\\n 78| \\\"anthropic/claude-sonnet-4.5\\\",\\n 79| \\\"anthropic/claude-haiku-4.5\\\",\\n 80| \\\"openai/gpt-5.4\\\",\\n 81| \\\"openai/gpt-5.4-mini\\\",\\n 82| \\\"openai/gpt-5.3-codex\\\",\\n 83| \\\"google/gemini-3-pro-preview\\\",\\n 84| \\\"google/gemini-3-flash-preview\\\",\\n 85| \\\"google/gemini-3.1-pro-preview\\\",\\n 86| \\\"google/gemini-3.1-flash-lite-preview\\\",\\n 87| \\\"qwen/qwen3.5-plus-02-15\\\",\\n 88|\", \"total_lines\": 1970, \"file_size\": 71500, \"truncated\": true, \"hint\": \"Use offset=88 to continue reading (showing 73-87 of 1970 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.613375
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.613504
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n+++ b//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n@@ -71,6 +71,11 @@\\n \\n \\n _PROVIDER_MODELS: dict[str, list[str]] = {\\n+ \\\"lmstudio\\\": [\\n+ \\\"qwen/qwen3.5-35b-a3b\\\",\\n+ \\\"google/gemma-4-31b-it\\\",\\n+ \\\"text-embedding-nomic-embed-text-v1.5\\\",\\n+ ],\\n \\\"nous\\\": [\\n \\\"xiaomi/mimo-v2-pro\\\",\\n \\\"anthropic/claude-opus-4.6\\\",\\n\", \"files_modified\": [\"/Users/rose/.hermes/hermes-agent/hermes_cli/models.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"timestamp": 1776262323.61357
},
{
"role": "assistant",
"content": "Jetzt LM Studio Live-Fetch (die API von `localhost:1234` abfragen):\n",
"timestamp": 1776262323.613697
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n+++ b//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n@@ -1227,6 +1227,8 @@\\n falling back to static lists.\\n \\\"\\\"\\\"\\n normalized = normalize_provider(provider)\\n+ if normalized == \\\"lmstudio\\\":\\n+ return _fetch_lmstudio_models()\\n if normalized == \\\"openrouter\\\":\\n return model_ids(force_refresh=force_refresh)\\n if normalized == \\\"openai-codex\\\":\\n\", \"files_modified\": [\"/Users/rose/.hermes/hermes-agent/hermes_cli/models.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"timestamp": 1776262323.6137931
},
{
"role": "assistant",
"content": "Jetzt die `_fetch_lmstudio_models()` Funktion dazu:\n",
"timestamp": 1776262323.613898
},
{
"role": "tool",
"content": "{\"content\": \" 1350| }\\n 1351|\\n 1352|\\n 1353|def _copilot_catalog_item_is_text_model(item: dict[str, Any]) -> bool:\\n 1354| model_id = str(item.get(\\\"id\\\") or \\\"\\\").strip()\\n 1355| if not model_id:\\n 1356| return False\\n 1357|\\n 1358| if item.get(\\\"model_picker_enabled\\\") is False:\\n 1359| return False\\n 1360|\\n 1361| capabilities = item.get(\\\"capabilities\\\")\\n 1362| if isinstance(capabilities, dict):\\n 1363| model_type = str(capabilities.get(\\\"type\\\") or \\\"\\\").strip().lower()\\n 1364| if model_type and model_type != \\\"chat\\\":\\n 1365| return False\\n 1366|\\n 1367| supported_endpoints = item.get(\\\"supported_endpoints\\\")\\n 1368| if isinstance(supported_endpoints, list):\\n 1369| normalized_endpoints = {\\n 1370| str(endpoint).strip()\\n 1371| for endpoint in supported_endpoints\\n 1372| if str(endpoint).strip()\\n 1373| }\\n 1374| if normalized_endpoints and not normalized_endpoints.intersection(\\n 1375| {\\\"/chat/completions\\\", \\\"/responses\\\", \\\"/v1/messages\\\"}\\n 1376| ):\\n 1377| return False\\n 1378|\\n 1379| return True\\n 1380|\\n 1381|\\n 1382|def fetch_github_model_catalog(\\n 1383| api_key: Optional[str] = None, timeout: float = 5.0\\n 1384|) -> Optional[list[dict[str, Any]]]:\\n 1385| \\\"\\\"\\\"Fetch the live GitHub Copilot model catalog for this account.\\\"\\\"\\\"\\n 1386| attempts: list[dict[str, str]] = []\\n 1387| if api_key:\\n 1388| attempts.append({\\n 1389| **copilot_default_headers(),\\n 1390| \\\"Authorization\\\": f\\\"Bearer {api_key}\\\",\\n 1391| })\\n 1392| attempts.append(copilot_default_headers())\\n 1393|\\n 1394| for headers in attempts:\\n 1395| req = urllib.request.Request(COPILOT_MODELS_URL, headers=headers)\\n 1396| try:\\n 1397| with urllib.request.urlopen(req, timeout=timeout) as resp:\\n 1398| data = json.loads(resp.read().decode())\\n 1399| items = _payload_items(data)\\n 1400| models: list[dict[str, Any]] = []\\n 1401| seen_ids: set[str] = set()\\n 1402| for item in items:\\n 1403| if not _copilot_catalog_item_is_text_model(item):\\n 1404| continue\\n 1405| model_id = str(item.get(\\\"id\\\") or \\\"\\\").strip()\\n 1406| if not model_id or model_id in seen_ids:\\n 1407| continue\\n 1408| seen_ids.add(model_id)\\n 1409| models.append(item)\\n 1410|\", \"total_lines\": 1977, \"file_size\": 71711, \"truncated\": true, \"hint\": \"Use offset=1410 to continue reading (showing 1350-1409 of 1977 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.6139898
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.614145
},
{
"role": "tool",
"content": "{\"content\": \" 1290| return None\\n 1291|\\n 1292| token = resolve_anthropic_token()\\n 1293| if not token:\\n 1294| return None\\n 1295|\\n 1296| headers: dict[str, str] = {\\\"anthropic-version\\\": \\\"2023-06-01\\\"}\\n 1297| if _is_oauth_token(token):\\n 1298| headers[\\\"Authorization\\\"] = f\\\"Bearer {token}\\\"\\n 1299| from agent.anthropic_adapter import _COMMON_BETAS, _OAUTH_ONLY_BETAS\\n 1300| headers[\\\"anthropic-beta\\\"] = \\\",\\\".join(_COMMON_BETAS + _OAUTH_ONLY_BETAS)\\n 1301| else:\\n 1302| headers[\\\"x-api-key\\\"] = token\\n 1303|\\n 1304| req = urllib.request.Request(\\n 1305| \\\"https://api.anthropic.com/v1/models\\\",\\n 1306| headers=headers,\\n 1307| )\\n 1308| try:\\n 1309| with urllib.request.urlopen(req, timeout=timeout) as resp:\\n 1310| data = json.loads(resp.read().decode())\\n 1311| models = [m[\\\"id\\\"] for m in data.get(\\\"data\\\", []) if m.get(\\\"id\\\")]\\n 1312| # Sort: latest/largest first (opus > sonnet > haiku, higher version first)\\n 1313| return sorted(models, key=lambda m: (\\n 1314| \\\"opus\\\" not in m, # opus first\\n 1315| \\\"sonnet\\\" not in m, # then sonnet\\n 1316| \\\"haiku\\\" not in m, # then haiku\\n 1317| m, # alphabetical within tier\\n 1318| ))\\n 1319| except Exception as e:\\n 1320| import logging\\n 1321| logging.getLogger(__name__).debug(\\\"Failed to fetch Anthropic models: %s\\\", e)\\n 1322| return None\\n 1323|\\n 1324|\\n 1325|def _payload_items(payload: Any) -> list[dict[str, Any]]:\\n 1326| if isinstance(payload, list):\\n 1327| return [item for item in payload if isinstance(item, dict)]\\n 1328| if isinstance(payload, dict):\\n 1329| data = payload.get(\\\"data\\\", [])\\n 1330| if isinstance(data, list):\\n 1331| return [item for item in data if isinstance(item, dict)]\\n 1332| return []\\n 1333|\\n 1334|\\n 1335|def copilot_default_headers() -> dict[str, str]:\\n 1336| \\\"\\\"\\\"Standard headers for Copilot API requests.\\n 1337|\\n 1338| Includes Openai-Intent and x-initiator headers that opencode and the\\n 1339| Copilot CLI send on every request.\\n 1340|\", \"total_lines\": 1977, \"file_size\": 71711, \"truncated\": true, \"hint\": \"Use offset=1340 to continue reading (showing 1290-1339 of 1977 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.614215
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.6143758
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n+++ b//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n@@ -1322,6 +1322,30 @@\\n return None\\n \\n \\n+def _fetch_lmstudio_models(timeout: float = 3.0) -> list[str]:\\n+ \\\"\\\"\\\"Fetch available models from a local LM Studio server (localhost:1234).\\n+\\n+ LM Studio exposes an OpenAI-compatible /v1/models endpoint.\\n+ Returns the list of model IDs, or the static fallback list on error.\\n+ \\\"\\\"\\\"\\n+ import urllib.request\\n+ base_url = \\\"http://localhost:1234\\\"\\n+ try:\\n+ req = urllib.request.Request(\\n+ f\\\"{base_url}/v1/models\\\",\\n+ headers={\\\"Authorization\\\": \\\"Bearer lm-studio\\\"},\\n+ )\\n+ with urllib.request.urlopen(req, timeout=timeout) as resp:\\n+ data = json.loads(resp.read().decode())\\n+ models = [m[\\\"id\\\"] for m in data.get(\\\"data\\\", []) if m.get(\\\"id\\\")]\\n+ if models:\\n+ return models\\n+ except Exception:\\n+ pass\\n+ # Fallback to static list\\n+ return list(_PROVIDER_MODELS.get(\\\"lmstudio\\\", []))\\n+\\n+\\n def _payload_items(payload: Any) -> list[dict[str, Any]]:\\n if isinstance(payload, list):\\n return [item for item in payload if isinstance(item, dict)]\\n\", \"files_modified\": [\"/Users/rose/.hermes/hermes-agent/hermes_cli/models.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"timestamp": 1776262323.614461
},
{
"role": "assistant",
"content": "Jetzt die Aliases für LM Studio:\n",
"timestamp": 1776262323.614594
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n+++ b//Users/rose/.hermes/hermes-agent/hermes_cli/models.py\\n@@ -593,7 +593,10 @@\\n \\\"huggingface-hub\\\": \\\"huggingface\\\",\\n \\\"mimo\\\": \\\"xiaomi\\\",\\n \\\"xiaomi-mimo\\\": \\\"xiaomi\\\",\\n- \\\"grok\\\": \\\"xai\\\",\\n+ \\\"lmstudio\\\": \\\"lmstudio\\\",\\n+ \\\"lm-studio\\\": \\\"lmstudio\\\",\\n+ \\\"lm_studio\\\": \\\"lmstudio\\\",\\n+ \\\"LM Studio\\\": \\\"lmstudio\\\",\\n \\\"x-ai\\\": \\\"xai\\\",\\n \\\"x.ai\\\": \\\"xai\\\",\\n }\\n\", \"files_modified\": [\"/Users/rose/.hermes/hermes-agent/hermes_cli/models.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"timestamp": 1776262323.6146991
},
{
"role": "assistant",
"content": "Jetzt LM Studio Base URL Detection in der webui config:\n",
"timestamp": 1776262323.614809
},
{
"role": "tool",
"content": "{\"content\": \" 830| pass\\n 831|\\n 832| # Resolve API key for the custom / OpenAI-compatible endpoint.\\n 833| # Priority:\\n 834| # 1. model.api_key in config.yaml\\n 835| # 2. provider-specific providers..api_key / providers.custom.api_key\\n 836| # 3. env/.env fallbacks\\n 837| headers = {}\\n 838| api_key = \\\"\\\"\\n 839| if isinstance(model_cfg, dict):\\n 840| api_key = (model_cfg.get(\\\"api_key\\\") or \\\"\\\").strip()\\n 841| if not api_key:\\n 842| providers_cfg = cfg.get(\\\"providers\\\", {})\\n 843| if isinstance(providers_cfg, dict):\\n 844| for provider_key in filter(None, [active_provider, \\\"custom\\\"]):\\n 845| provider_cfg = providers_cfg.get(provider_key, {})\\n 846| if isinstance(provider_cfg, dict):\\n 847| api_key = (provider_cfg.get(\\\"api_key\\\") or \\\"\\\").strip()\\n 848| if api_key:\\n 849| break\\n 850| if not api_key:\\n 851| api_key_vars = (\\n 852| \\\"HERMES_API_KEY\\\",\\n 853| \\\"HERMES_OPENAI_API_KEY\\\",\\n 854| \\\"OPENAI_API_KEY\\\",\\n 855| \\\"LOCAL_API_KEY\\\",\\n 856| \\\"OPENROUTER_API_KEY\\\",\\n 857| \\\"API_KEY\\\",\\n 858| )\\n 859| for key in api_key_vars:\\n 860|\", \"total_lines\": 1247, \"file_size\": 51517, \"truncated\": true, \"hint\": \"Use offset=860 to continue reading (showing 830-859 of 1247 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.614914
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.6150458
},
{
"role": "tool",
"content": "{\"output\": \"435:_PROVIDER_DISPLAY = {\\n962: provider_name = _PROVIDER_DISPLAY.get(pid, pid.title())\\n1040: # provider's display name from _PROVIDER_DISPLAY rather than\\n1050: _PROVIDER_DISPLAY.get(active_provider, active_provider or \\\"\\\").lower()\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.615115
},
{
"role": "tool",
"content": "{\"output\": \"453: \\\"lmstudio\\\": \\\"LM Studio\\\",\\n825: elif \\\"lmstudio\\\" in host or \\\"lm-studio\\\" in host:\\n826: provider = \\\"lmstudio\\\"\\n886: # Allow known local providers (ollama, lmstudio)\\n893: \\\"lmstudio\\\",\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.615969
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.616281
},
{
"role": "tool",
"content": "{\"output\": \"5:traditional API key providers (OpenRouter, custom endpoints). Auth state\\n853: Used when the user switches to a non-OAuth provider (OpenRouter, custom)\\n870: Checks for common config.yaml mistakes (malformed custom_providers, etc.)\\n929: # Local server aliases — route through the generic custom provider\\n930: \\\"lmstudio\\\": \\\"custom\\\", \\\"lm-studio\\\": \\\"custom\\\", \\\"lm_studio\\\": \\\"custom\\\",\\n931: \\\"ollama\\\": \\\"custom\\\", \\\"vllm\\\": \\\"custom\\\", \\\"llamacpp\\\": \\\"custom\\\",\\n932: \\\"llama.cpp\\\": \\\"custom\\\", \\\"llama-cpp\\\": \\\"custom\\\",\\n938: if normalized == \\\"custom\\\":\\n939: return \\\"custom\\\"\\n952: # Explicit one-off CLI creds always mean openrouter/custom\\n2434:def get_auth_status(provider_id: Optional[str] = None) -> Dict[str, Any]:\\n2702: choices.append(\\\" Enter custom model name\\\")\\n2741: custom = input(\\\"Enter model name: \\\").strip()\\n2742: return custom if custom else None\\n2753: print(f\\\" {n + 1:>{num_width}}. Enter custom model name\\\")\\n2773: custom = input(\\\"Enter model name: \\\").strip()\\n2774: return custom if custom else None\\n3057: print(f\\\"TLS verification: custom CA bundle ({ca_bundle})\\\")\\n3216: print(f\\\"Showing {len(model_ids)} curated models — use \\\\\\\"Enter custom model name\\\\\\\" for others.\\\")\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.616367
},
{
"role": "assistant",
"content": "Gefunden! In `auth.py` Zeile 930 — dort wird `lmstudio` als Alias für `custom` behandelt. Ich muss das entfernen:\n",
"timestamp": 1776262323.616516
},
{
"role": "tool",
"content": "{\"content\": \" 927| \\\"go\\\": \\\"opencode-go\\\", \\\"opencode-go-sub\\\": \\\"opencode-go\\\",\\n 928| \\\"kilo\\\": \\\"kilocode\\\", \\\"kilo-code\\\": \\\"kilocode\\\", \\\"kilo-gateway\\\": \\\"kilocode\\\",\\n 929| # Local server aliases — route through the generic custom provider\\n 930| \\\"lmstudio\\\": \\\"custom\\\", \\\"lm-studio\\\": \\\"custom\\\", \\\"lm_studio\\\": \\\"custom\\\",\\n 931| \\\"ollama\\\": \\\"custom\\\", \\\"vllm\\\": \\\"custom\\\", \\\"llamacpp\\\": \\\"custom\\\",\\n 932| \\\"llama.cpp\\\": \\\"custom\\\", \\\"llama-cpp\\\": \\\"custom\\\",\\n 933| }\\n 934| normalized = _PROVIDER_ALIASES.get(normalized, normalized)\\n 935|\\n 936| if normalized == \\\"openrouter\\\":\\n 937| return \\\"openrouter\\\"\\n 938| if normalized == \\\"custom\\\":\\n 939| return \\\"custom\\\"\\n 940| if normalized in PROVIDER_REGISTRY:\\n 941| return normalized\\n 942|\", \"total_lines\": 3275, \"file_size\": 125826, \"truncated\": true, \"hint\": \"Use offset=942 to continue reading (showing 927-941 of 3275 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.6166148
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.6167412
},
{
"role": "tool",
"content": "{\"content\": \" 920| \\\"github-models\\\": \\\"copilot\\\", \\\"github-model\\\": \\\"copilot\\\",\\n 921| \\\"github-copilot-acp\\\": \\\"copilot-acp\\\", \\\"copilot-acp-agent\\\": \\\"copilot-acp\\\",\\n 922| \\\"aigateway\\\": \\\"ai-gateway\\\", \\\"vercel\\\": \\\"ai-gateway\\\", \\\"vercel-ai-gateway\\\": \\\"ai-gateway\\\",\\n 923| \\\"opencode\\\": \\\"opencode-zen\\\", \\\"zen\\\": \\\"opencode-zen\\\",\\n 924| \\\"qwen-portal\\\": \\\"qwen-oauth\\\", \\\"qwen-cli\\\": \\\"qwen-oauth\\\", \\\"qwen-oauth\\\": \\\"qwen-oauth\\\",\\n 925| \\\"hf\\\": \\\"huggingface\\\", \\\"hugging-face\\\": \\\"huggingface\\\", \\\"huggingface-hub\\\": \\\"huggingface\\\",\\n 926| \\\"mimo\\\": \\\"xiaomi\\\", \\\"xiaomi-mimo\\\": \\\"xiaomi\\\",\\n 927| \\\"go\\\": \\\"opencode-go\\\", \\\"opencode-go-sub\\\": \\\"opencode-go\\\",\\n 928| \\\"kilo\\\": \\\"kilocode\\\", \\\"kilo-code\\\": \\\"kilocode\\\", \\\"kilo-gateway\\\": \\\"kilocode\\\",\\n 929| # Local server aliases — route through the generic custom provider\\n 930| \\\"lmstudio\\\": \\\"custom\\\", \\\"lm-studio\\\": \\\"custom\\\", \\\"lm_studio\\\": \\\"custom\\\",\\n 931| \\\"ollama\\\": \\\"custom\\\", \\\"vllm\\\": \\\"custom\\\", \\\"llamacpp\\\": \\\"custom\\\",\\n 932| \\\"llama.cpp\\\": \\\"custom\\\", \\\"llama-cpp\\\": \\\"custom\\\",\\n 933| }\\n 934| normalized = _PROVIDER_ALIASES.get(normalized, normalized)\\n 935|\\n 936| if normalized == \\\"openrouter\\\":\\n 937| return \\\"openrouter\\\"\\n 938| if normalized == \\\"custom\\\":\\n 939| return \\\"custom\\\"\\n 940| if normalized in PROVIDER_REGISTRY:\\n 941| return normalized\\n 942| if normalized != \\\"auto\\\":\\n 943| # Check for common config.yaml issues that cause this error\\n 944| _config_hint = _get_config_hint_for_unknown_provider(normalized)\\n 945|\", \"total_lines\": 3275, \"file_size\": 125826, \"truncated\": true, \"hint\": \"Use offset=945 to continue reading (showing 920-944 of 3275 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.6168141
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.6169522
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//Users/rose/.hermes/hermes-agent/hermes_cli/auth.py\\n+++ b//Users/rose/.hermes/hermes-agent/hermes_cli/auth.py\\n@@ -927,7 +927,6 @@\\n \\\"go\\\": \\\"opencode-go\\\", \\\"opencode-go-sub\\\": \\\"opencode-go\\\",\\n \\\"kilo\\\": \\\"kilocode\\\", \\\"kilo-code\\\": \\\"kilocode\\\", \\\"kilo-gateway\\\": \\\"kilocode\\\",\\n # Local server aliases — route through the generic custom provider\\n- \\\"lmstudio\\\": \\\"custom\\\", \\\"lm-studio\\\": \\\"custom\\\", \\\"lm_studio\\\": \\\"custom\\\",\\n \\\"ollama\\\": \\\"custom\\\", \\\"vllm\\\": \\\"custom\\\", \\\"llamacpp\\\": \\\"custom\\\",\\n \\\"llama.cpp\\\": \\\"custom\\\", \\\"llama-cpp\\\": \\\"custom\\\",\\n }\\n\", \"files_modified\": [\"/Users/rose/.hermes/hermes-agent/hermes_cli/auth.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"timestamp": 1776262323.6170309
},
{
"role": "assistant",
"content": "Jetzt check ich `get_auth_status` für lmstudio:\n",
"timestamp": 1776262323.617141
},
{
"role": "tool",
"content": "{\"output\": \"2433:def get_auth_status(provider_id: Optional[str] = None) -> Dict[str, Any]:\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.6172411
},
{
"role": "tool",
"content": "{\"output\": \"\\\"\\\"\\\"Generic auth status dispatcher.\\\"\\\"\\\"\\n target = provider_id or get_active_provider()\\n if target == \\\"nous\\\":\\n return get_nous_auth_status()\\n if target == \\\"openai-codex\\\":\\n return get_codex_auth_status()\\n if target == \\\"qwen-oauth\\\":\\n return get_qwen_auth_status()\\n if target == \\\"copilot-acp\\\":\\n return get_external_process_provider_status(target)\\n # API-key providers\\n pconfig = PROVIDER_REGISTRY.get(target)\\n if pconfig and pconfig.auth_type == \\\"api_key\\\":\\n return get_api_key_provider_status(target)\\n return {\\\"logged_in\\\": False}\\n\\n\\ndef resolve_api_key_provider_credentials(provider_id: str) -> Dict[str, Any]:\\n \\\"\\\"\\\"Resolve API key and base URL for an API-key provider.\\n\\n Returns dict with: provider, api_key, base_url, source.\\n \\\"\\\"\\\"\\n pconfig = PROVIDER_REGISTRY.get(provider_id)\\n if not pconfig or pconfig.auth_type != \\\"api_key\\\":\\n raise AuthError(\\n f\\\"Provider '{provider_id}' is not an API-key provider.\\\",\\n provider=provider_id,\\n code=\\\"invalid_provider\\\",\\n )\\n\\n api_key = \\\"\\\"\\n key_source = \\\"\\\"\\n api_key, key_source = _resolve_api_key_provider_secret(provider_id, pconfig)\\n\\n env_url = \\\"\\\"\\n if pconfig.base_url_env_var:\\n env_url = os.getenv(pconfig.base_url_env_var, \\\"\\\").strip()\\n\\n if provider_id == \\\"kimi-coding\\\":\\n base_url = _resolve_kimi_base_url(api_key, pconfig.inference_base_url, env_url)\\n elif provider_id == \\\"zai\\\":\\n base_url = _resolve_zai_base_url(api_key, pconfig.inference_base_url, env_url)\\n elif env_url:\\n base_url = env_url.rstrip(\\\"/\\\")\\n else:\\n base_url = pconfig.inference_base_url\\n\\n return {\\n \\\"provider\\\": provider_id,\\n \\\"api_key\\\": api_key,\\n \\\"base_url\\\": base_url.rstrip(\\\"/\\\"),\\n \\\"source\\\": key_source or \\\"default\\\",\\n }\\n\\n\\ndef resolve_external_process_provider_credentials(provider_id: str) -> Dict[str, Any]:\\n \\\"\\\"\\\"Resolve runtime details for local subprocess-backed providers.\\\"\\\"\\\"\\n pconfig = PROVIDER_REGISTRY.get(provider_id)\\n if not pconfig or pconfig.auth_type != \\\"external_process\\\":\\n raise AuthError(\\n f\\\"Provider '{provider_id}' is not an external-process provider.\\\",\\n provider=provider_id,\\n code=\\\"invalid_provider\\\",\\n )\\n\\n base_url = os.getenv(pconfig.base_url_env_var, \\\"\\\").strip() if pconfig.base_url_env_var else \\\"\\\"\\n if not base_url:\\n base_url = pconfig.inference_base_url\\n\\n command = (\\n os.getenv(\\\"HERMES_COPILOT_ACP_COMMAND\\\", \\\"\\\").strip()\\n or os.getenv(\\\"COPILOT_CLI_PATH\\\", \\\"\\\").strip()\\n or \\\"copilot\\\"\\n )\\n raw_args = os.getenv(\\\"HERMES_COPILOT_ACP_ARGS\\\", \\\"\\\").strip()\\n args = shlex.split(raw_args) if raw_args else [\\\"--acp\\\", \\\"--stdio\\\"]\\n resolved_command = shutil.which(command) if command else None\\n if not resolved_command and not base_url.startswith(\\\"acp+tcp://\\\"):\\n raise AuthError(\\n f\\\"Could not find the Copilot CLI command '{command}'. \\\"\\n \\\"Install GitHub Copilot CLI or set HERMES_COPILOT_ACP_COMMAND/COPILOT_CLI_PATH.\\\",\\n provider=provider_id,\\n code=\\\"missing_copilot_cli\\\",\\n )\\n\\n return {\\n \\\"provider\\\": provider_id,\\n \\\"api_key\\\": \\\"***\\\",\\n \\\"base_url\\\": base_url.rstrip(\\\"/\\\"),\\n \\\"command\\\": resolved_command or command,\\n \\\"args\\\": args,\\n \\\"source\\\": \\\"process\\\",\\n }\\n\\n\\n# =============================================================================\\n# CLI Commands — login / logout\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.6173382
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.617512
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.617596
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.61769
},
{
"role": "assistant",
"content": "Jetzt muss ich LM Studio in `PROVIDER_REGISTRY` eintragen:\n",
"timestamp": 1776262323.617783
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.6178718
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.617957
},
{
"role": "tool",
"content": "{\"output\": \"102:PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {\\n289: ``PROVIDER_REGISTRY[\\\"anthropic\\\"].api_key_env_vars`` tuple:\\n295: for var in PROVIDER_REGISTRY[\\\"anthropic\\\"].api_key_env_vars:\\n801: pconfig = PROVIDER_REGISTRY.get(normalized)\\n939: if normalized in PROVIDER_REGISTRY:\\n959: if active and active in PROVIDER_REGISTRY:\\n970: for pid, pconfig in PROVIDER_REGISTRY.items():\\n2374: pconfig = PROVIDER_REGISTRY.get(provider_id)\\n2405: pconfig = PROVIDER_REGISTRY.get(provider_id)\\n2445: pconfig = PROVIDER_REGISTRY.get(target)\\n2456: pconfig = PROVIDER_REGISTRY.get(provider_id)\\n2491: pconfig = PROVIDER_REGISTRY.get(provider_id)\\n3031: pconfig = PROVIDER_REGISTRY[\\\"nous\\\"]\\n3253: if provider_id and provider_id not in PROVIDER_REGISTRY:\\n3264: provider_name = PROVIDER_REGISTRY[target].name if target in PROVIDER_REGISTRY else target\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.6180348
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.6195781
},
{
"role": "tool",
"content": "{\"content\": \" 102|PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {\\n 103| \\\"nous\\\": ProviderConfig(\\n 104| id=\\\"nous\\\",\\n 105| name=\\\"Nous Portal\\\",\\n 106| auth_type=\\\"oauth_device_code\\\",\\n 107| portal_base_url=DEFAULT_NOUS_PORTAL_URL,\\n 108| inference_base_url=DEFAULT_NOUS_INFERENCE_URL,\\n 109| client_id=DEFAULT_NOUS_CLIENT_ID,\\n 110| scope=DEFAULT_NOUS_SCOPE,\\n 111| ),\\n 112| \\\"openai-codex\\\": ProviderConfig(\\n 113| id=\\\"openai-codex\\\",\\n 114| name=\\\"OpenAI Codex\\\",\\n 115| auth_type=\\\"oauth_external\\\",\\n 116| inference_base_url=DEFAULT_CODEX_BASE_URL,\\n 117| ),\\n 118| \\\"qwen-oauth\\\": ProviderConfig(\\n 119| id=\\\"qwen-oauth\\\",\\n 120| name=\\\"Qwen OAuth\\\",\\n 121| auth_type=\\\"oauth_external\\\",\\n 122| inference_base_url=DEFAULT_QWEN_BASE_URL,\\n 123| ),\\n 124| \\\"copilot\\\": ProviderConfig(\\n 125| id=\\\"copilot\\\",\\n 126| name=\\\"GitHub Copilot\\\",\\n 127| auth_type=\\\"api_key\\\",\\n 128| inference_base_url=DEFAULT_GITHUB_MODELS_BASE_URL,\\n 129| api_key_env_vars=(\\\"COPILOT_GITHUB_TOKEN\\\", \\\"GH_TOKEN\\\", \\\"GITHUB_TOKEN\\\"),\\n 130| base_url_env_var=\\\"COPILOT_API_BASE_URL\\\",\\n 131| ),\\n 132| \\\"copilot-acp\\\": ProviderConfig(\\n 133| id=\\\"copilot-acp\\\",\\n 134| name=\\\"GitHub Copilot ACP\\\",\\n 135| auth_type=\\\"external_process\\\",\\n 136| inference_base_url=DEFAULT_COPILOT_ACP_BASE_URL,\\n 137| base_url_env_var=\\\"COPILOT_ACP_BASE_URL\\\",\\n 138| ),\\n 139| \\\"gemini\\\": ProviderConfig(\\n 140| id=\\\"gemini\\\",\\n 141| name=\\\"Google AI Studio\\\",\\n 142| auth_type=\\\"api_key\\\",\\n 143| inference_base_url=\\\"https://generativelanguage.googleapis.com/v1beta/openai\\\",\\n 144| api_key_env_vars=(\\\"GOOGLE_API_KEY\\\", \\\"GEMINI_API_KEY\\\"),\\n 145| base_url_env_var=\\\"GEMINI_BASE_URL\\\",\\n 146| ),\\n 147| \\\"zai\\\": ProviderConfig(\\n 148| id=\\\"zai\\\",\\n 149| name=\\\"Z.AI / GLM\\\",\\n 150| auth_type=\\\"api_key\\\",\\n 151| inference_base_url=\\\"https://api.z.ai/api/paas/v4\\\",\\n 152| api_key_env_vars=(\\\"GLM_API_KEY\\\", \\\"ZAI_API_KEY\\\", \\\"Z_AI_API_KEY\\\"),\\n 153| base_url_env_var=\\\"GLM_BASE_URL\\\",\\n 154| ),\\n 155| \\\"kimi-coding\\\": ProviderConfig(\\n 156| id=\\\"kimi-coding\\\",\\n 157| name=\\\"Kimi / Moonshot\\\",\\n 158| auth_type=\\\"api_key\\\",\\n 159| inference_base_url=\\\"https://api.moonshot.ai/v1\\\",\\n 160| api_key_env_vars=(\\\"KIMI_API_KEY\\\",),\\n 161| base_url_env_var=\\\"KIMI_BASE_URL\\\",\\n 162| ),\\n 163| \\\"kimi-coding-cn\\\": ProviderConfig(\\n 164| id=\\\"kimi-coding-cn\\\",\\n 165| name=\\\"Kimi / Moonshot (China)\\\",\\n 166| auth_type=\\\"api_key\\\",\\n 167| inference_base_url=\\\"https://api.moonshot.cn/v1\\\",\\n 168| api_key_env_vars=(\\\"KIMI_CN_API_KEY\\\",),\\n 169| ),\\n 170| \\\"arcee\\\": ProviderConfig(\\n 171| id=\\\"arcee\\\",\\n 172| name=\\\"Arcee AI\\\",\\n 173| auth_type=\\\"api_key\\\",\\n 174| inference_base_url=\\\"https://api.arcee.ai/api/v1\\\",\\n 175| api_key_env_vars=(\\\"ARCEEAI_API_KEY\\\",),\\n 176| base_url_env_var=\\\"ARCEE_BASE_URL\\\",\\n 177| ),\\n 178| \\\"minimax\\\": ProviderConfig(\\n 179| id=\\\"minimax\\\",\\n 180| name=\\\"MiniMax\\\",\\n 181| auth_type=\\\"api_key\\\",\\n 182| inference_base_url=\\\"https://api.minimax.io/anthropic\\\",\\n 183| api_key_env_vars=(\\\"MINIMAX_API_KEY\\\",),\\n 184| base_url_env_var=\\\"MINIMAX_BASE_URL\\\",\\n 185| ),\\n 186| \\\"anthropic\\\": ProviderConfig(\\n 187| id=\\\"anthropic\\\",\\n 188| name=\\\"Anthropic\\\",\\n 189| auth_type=\\\"api_key\\\",\\n 190| inference_base_url=\\\"https://api.anthropic.com\\\",\\n 191| api_key_env_vars=(\\\"ANTHROPIC_API_KEY\\\", \\\"ANTHROPIC_TOKEN\\\", \\\"CLAUDE_CODE_OAUTH_TOKEN\\\"),\\n 192|\", \"total_lines\": 3274, \"file_size\": 125750, \"truncated\": true, \"hint\": \"Use offset=192 to continue reading (showing 102-191 of 3274 lines)\", \"is_binary\": false, \"is_image\": false}",
"timestamp": 1776262323.6196458
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.6198132
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//Users/rose/.hermes/hermes-agent/hermes_cli/auth.py\\n+++ b//Users/rose/.hermes/hermes-agent/hermes_cli/auth.py\\n@@ -182,6 +182,13 @@\\n inference_base_url=\\\"https://api.minimax.io/anthropic\\\",\\n api_key_env_vars=(\\\"MINIMAX_API_KEY\\\",),\\n base_url_env_var=\\\"MINIMAX_BASE_URL\\\",\\n+ ),\\n+ \\\"lmstudio\\\": ProviderConfig(\\n+ id=\\\"lmstudio\\\",\\n+ name=\\\"LM Studio\\\",\\n+ auth_type=\\\"api_key\\\",\\n+ inference_base_url=\\\"http://localhost:1234/v1\\\",\\n+ api_key_env_vars=(\\\"LMSTUDIO_API_KEY\\\",),\\n ),\\n \\\"anthropic\\\": ProviderConfig(\\n id=\\\"anthropic\\\",\\n\", \"files_modified\": [\"/Users/rose/.hermes/hermes-agent/hermes_cli/auth.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"timestamp": 1776262323.619891
},
{
"role": "assistant",
"content": "OK — LM Studio Provider ist jetzt als echter Provider eingetragen. Jetzt den Server neustarten und testen:\n",
"timestamp": 1776262323.620008
},
{
"role": "tool",
"content": "{\"output\": \"78997\", \"exit_code\": 0, \"error\": null}",
"timestamp": 1776262323.6201549
},
{
"role": "assistant",
"content": "",
"timestamp": 1776262323.6202419
},
{
"role": "tool",
"content": "{\"output\": \"Restarted PID: 81481\\n/bin/bash: line 3: 81487 Terminated: 15 nohup ~/.hermes/hermes-agent/venv/bin/python server.py > ~/.hermes/webui/bootstrap-8787.log 2>&1\", \"exit_code\": 0, \"error\": null, \"approval\": \"Command required approval (Security scan — [HIGH] Dotfile overwrite detected: Command redirects output to a dotfile in the home directory, which could overwrite shell configuration) and was approved by the user.\"}",
"timestamp": 1776262323.620312
}
],
"tool_calls": [],
"created_at": 1776260594.107029,
"updated_at": 1776262323.620312,
"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,
"is_cli_session": true,
"_cli_origin": "20260415_154314_757075"
}