mARTin-B78/tts-voice-creator-clone-and-design-2
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
v1.61.0
tts-voice-creator-clone-and.../routes/docker.py
mARTin-B78 0551b6651f feat(voices): redesigned My Voices list, working copy, engine-aware TTS availability 
My Voices
- Top bar with search, filter toggle (active-count badge), synth-source drawer, group and table buttons;
  filters/sort in a collapsible labelled panel; one-line sort header with select-all/none checkbox
- Groups chip list is a collapsed accordion; bottom bar is Refresh/Sync/Import plus one Actions (N) menu
  (Edit / Audio / Share / Danger), disabled until voices are checked; touch targets stay 44px
- Copy selected works again (copyText was no longer exported), shows "N voice names copied to clipboard"
  and falls back to a copy dialog when the async clipboard is unavailable

TTS / engines
- Health probe works for /v1 card URLs and, behind a LiteLLM gateway, checks the selected model's own
  upstream so stopped containers are not reported as available
- Unhiding a voice publishes a missing entry to the engine's voices.json (no more silent default-voice fallback)
- Status-bar TTS picker also drives the My Voices and STT-test selectors; Use as TTS refreshes the status bar

Includes the engine connect/disconnect, custom TTS, STT footer and magazine auth work that was already
in the working tree, with their tests.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-10-11 04:44:27 +02:00

364 lines
25 KiB
Python
Raw Permalink Blame History

"""Local Docker container management and URL probe endpoints."""
from __future__ import annotations
import asyncio
import os
from pathlib import Path
from urllib.parse import quote, urlsplit
import requests
from fastapi import APIRouter, Header, HTTPException, Request
from core.docker_client import _docker_available, _docker_get_json, _docker_post
from core.config import _load_settings, _save_settings, _normalize_settings, _tts_api_key, _engine_card_api_key
from core.validation import _normalize_service_url
from core.provider_health import probe_provider, _litellm_model_aliases
router = APIRouter()
_LOCAL_CONTAINER_DEFS: list[dict] = [
{"name": "litellm", "label": "LiteLLM Gateway", "role": "llm", "port": 14000, "stack": "dgx-spark_lite-llm_llama-swap_vllm_llama-cpp_ollama", "image": "ghcr.io/berriai/litellm:main-latest", "repo": "https://github.com/BerriAI/litellm", "description": "OpenAI-compatible LLM gateway. Use for character analysis, casting, and text refinement."},
{"name": "llama.cpp", "label": "llama.cpp Server", "role": "llm", "port": 19000, "stack": "dgx-spark_lite-llm_llama-swap_vllm_llama-cpp_ollama", "image": "ghcr.io/ggml-org/llama.cpp:server", "repo": "https://github.com/ggml-org/llama.cpp", "description": "OpenAI-compatible local LLM server when launched with its server API."},
{"name": "ollama", "label": "Ollama", "role": "llm", "port": 11434, "stack": "dgx-spark_lite-llm_llama-swap_vllm_llama-cpp_ollama", "image": "ollama/ollama", "repo": "https://ollama.com", "description": "Local LLM runtime. The app uses its OpenAI-compatible /v1 endpoint."},
{"name": "llama-swap", "label": "llama-swap", "role": "llm", "port": 28080, "stack": "dgx-spark_lite-llm_llama-swap_vllm_llama-cpp_ollama", "image": "ghcr.io/mostlygeek/llama-swap:cuda", "repo": "https://github.com/mostlygeek/llama-swap", "description": "Model swapping proxy for local LLMs. Useful as the default Rehearser LLM endpoint."},
{"name": "llama-qwen35-4b", "label": "Qwen3.5 4B LLM", "role": "llm", "port": 19001, "stack": "dgx-spark_lite-llm_llama-swap_vllm_llama-cpp_ollama", "image": "local", "repo": "", "description": "Dedicated Qwen LLM container. Use if it exposes an OpenAI-compatible /v1 API."},
{"name": "vllm", "label": "vLLM", "role": "llm", "port": 8000, "stack": "dgx-spark_lite-llm_llama-swap_vllm_llama-cpp_ollama", "image": "vllm/vllm-openai:latest", "repo": "https://github.com/vllm-project/vllm", "description": "High-throughput GPU inference. Serve any HuggingFace model with PagedAttention."},
{"name": "lmstudio", "label": "LM Studio", "role": "llm", "port": 1234, "stack": "", "image": "local", "repo": "https://lmstudio.ai", "description": "GUI app for running quantized models. Built-in model browser, chat UI, and a local server with OpenAI API."},
{"name": "tts-faster-qwen3-tts-voiceclone", "label": "Qwen3 TTS · Voice Clone", "role": "tts", "port": 8020, "stack": "faster-qwen3-tts-dgx-spark", "image": "martinb78/faster-qwen3-tts-dgx-spark:v4", "repo": "https://github.com/mARTin-B78/dgx-spark-faster-qwen3-tts", "description": "WAV voice cloning. Scans active_voices at startup; restart after adding or editing voices."},
{"name": "tts-faster-qwen3-tts-voicedesign", "label": "Qwen3 TTS · Voice Design", "role": "tts", "port": 8021, "stack": "faster-qwen3-tts-dgx-spark", "image": "martinb78/faster-qwen3-tts-dgx-spark:v4", "repo": "https://github.com/mARTin-B78/dgx-spark-faster-qwen3-tts", "description": "Instruction-based voice design. Best Qwen path for tone, style, and character prompts."},
{"name": "tts-faster-qwen3-tts-customvoice", "label": "Qwen3 TTS · Custom Voice", "role": "tts", "port": 8022, "stack": "faster-qwen3-tts-dgx-spark", "image": "martinb78/faster-qwen3-tts-dgx-spark:v4", "repo": "https://github.com/mARTin-B78/dgx-spark-faster-qwen3-tts", "description": "CustomVoice speakers with per-request instruct overrides for tone/style."},
{"name": "tts-faster-qwen3-tts-streaming", "label": "Qwen3 TTS · Streaming", "role": "tts", "port": 8023, "stack": "faster-qwen3-tts-dgx-spark", "image": "martinb78/faster-qwen3-tts-dgx-spark:streaming", "repo": "https://github.com/mARTin-B78/dgx-spark-faster-qwen3-tts", "description": "Low-latency progressive WAV streaming for voice clone voices."},
{"name": "faster-whisper", "label": "faster-whisper", "role": "stt", "port": 8010, "stack": "faster-whisper-dgx-spark", "image": "local", "repo": "https://github.com/SYSTRAN/faster-whisper", "description": "Fast local Whisper transcription endpoint."},
{"name": "whisper-cpp", "label": "whisper.cpp", "role": "stt", "port": 8085, "stack": "", "image": "local", "repo": "https://github.com/ggml-org/whisper.cpp", "description": "Minimal C++ Whisper with a built-in HTTP server. CPU or Metal/CUDA. Low memory, fast on consumer hardware."},
{"name": "fish-speech-api", "label": "Fish-Speech API", "role": "tts", "port": 38080, "stack": "fish-speech-dgx-spark", "image": "local", "repo": "https://github.com/fishaudio/fish-speech", "description": "Tone-aware cloning backend. Recommended for Rehearser character voices when you need both identity and emotion."},
{"name": "nemotron-asr-streaming", "label": "Nemotron ASR Streaming", "role": "stt", "port": 8006, "stack": "nemotron-asr-streaming", "image": "local", "repo": "https://github.com/pipecat-ai/nemotron-january-2026", "description": "Streaming ASR service. Use as a custom STT endpoint if it exposes OpenAI transcription or /transcribe."},
{"name": "parakeet-stt-multi-9011", "label": "NVIDIA Parakeet STT", "role": "stt", "port": 8007, "stack": "nvidia-parakeet-voice-recognition", "image": "local", "repo": "https://github.com/mARTin-B78/dgx-spark-parakeet-asr", "description": "Parakeet STT container on port 8007."},
{"name": "nvidia-magpie-tts", "label": "NVIDIA Magpie TTS", "role": "tts", "port": 8091, "stack": "nvidia-speech-gateway", "image": "nvcr.io/nim/nvidia/magpie-tts-multilingual:latest", "repo": "https://github.com/mARTin-B78/dgx-spark-parakeet-asr", "description": "NVIDIA neural TTS. Fixed speaker voices, fast multilingual synthesis."},
{"name": "nvidia-parakeet-asr", "label": "NVIDIA Parakeet Router ASR", "role": "stt", "port": 8090, "stack": "nvidia-speech-gateway", "image": "parakeet-tdt-v3-spark:latest", "repo": "https://github.com/mARTin-B78/dgx-spark-parakeet-asr", "description": "NVIDIA Parakeet speech router endpoint."},
{"name": "nvidia-parakeet-rnnt-nim", "label": "NVIDIA Parakeet RNNT NIM", "role": "stt", "port": 8092, "stack": "nvidia-speech-gateway", "image": "nvcr.io/nim/nvidia/parakeet-1b-rnnt-multilingual:latest", "repo": "https://github.com/mARTin-B78/dgx-spark-parakeet-asr", "description": "Parakeet RNNT NIM multilingual ASR on port 8092."},
{"name": "kokoro-tts", "label": "Kokoro FastAPI", "role": "tts", "port": 8880, "stack": "kokoro-tts", "image": "local", "repo": "", "description": "OpenAI-compatible TTS. Built-in voices: af_bella, bf_emma, am_adam... ~300 MB RAM."},
{"name": "vibevoice-msft-tts", "label": "VibeVoice TTS", "role": "tts", "port": 8027, "stack": "vibevoice", "image": "local", "repo": "", "description": "VibeVoice REST service. Simple text-to-speech backend."},
{"name": "nvidia-zeroshot-nim", "label": "NVIDIA Zeroshot NIM", "role": "tts", "port": 8093, "stack": "nvidia-speech-gateway", "image": "local", "repo": "", "description": "Magpie Zeroshot clone endpoint with audio_prompt."},
{"name": "nvidia-flow-nim", "label": "NVIDIA Flow NIM", "role": "tts", "port": 8094, "stack": "nvidia-speech-gateway", "image": "local", "repo": "", "description": "Magpie Flow clone endpoint with audio_prompt and transcript."},
{"name": "voicebox", "label": "Voicebox", "role": "llm", "port": 17493, "stack": "voicebox", "image": "local", "repo": "", "description": "Companion voice app/control plane. Not used as a normal TTS engine unless wrapped as an API."},
{"name": "stt-whisperx-blackwell", "label": "WhisperX · faster-whisper (Blackwell GPU)", "role": "stt", "port": 8003, "stack": "whisperx-blackwell", "image": "local", "repo": "https://github.com/m-bain/whisperX", "description": "WhisperX transcription/alignment service using faster-whisper on the Blackwell GPU. Use as custom STT if its API is OpenAI-compatible or /transcribe."},
{"name": "xtts-dgx-spark", "label": "XTTS v2", "role": "tts", "port": 8005, "stack": "xtts_v2", "image": "local", "repo": "https://github.com/daswer123/xtts-api-server", "description": "XTTS v2 OpenAI-compatible speaker endpoint."},
{"name": "ocr-kdl-frontier-parser-nano", "label": "KDL Frontier Parser nano", "role": "ocr", "port": 8099, "stack": "", "image": "local", "repo": "https://huggingface.co/KDLAI/KDL-Frontier-Parser-nano", "description": "Local 1.2B document parser for layout detection, OCR, tables, figures, and reading order."},
{"name": "ocr-baidu-unlimited-ocr", "label": "Baidu Unlimited-OCR", "role": "ocr", "port": 8098, "stack": "", "image": "local", "repo": "https://github.com/baidu/Unlimited-OCR", "description": "Local long-document OCR and layout parser with single-image and multi-page/PDF workflows."},
]
def _container_status(name: str) -> dict:
try:
code, data = _docker_get_json(f"/containers/{quote(name, safe='')}/json")
if code == 404:
return {"status": "not_found"}
if code == 200 and isinstance(data, dict):
state = data.get("State", {})
return {
"status": state.get("Status", "unknown"),
"running": state.get("Running", False),
"paused": state.get("Paused", False),
"started_at": state.get("StartedAt", ""),
"image": data.get("Config", {}).get("Image", ""),
}
return {"status": "error", "detail": f"HTTP {code}"}
except Exception as e:
return {"status": "error", "detail": str(e)}
@router.get("/api/local-containers")
async def get_local_containers():
sock_ok = _docker_available()
async def _check(defn: dict) -> dict:
entry = {k: v for k, v in defn.items()}
if sock_ok:
status = await asyncio.to_thread(_container_status, defn["name"])
entry.update(status)
else:
entry["status"] = "no_socket"
return entry
results = await asyncio.gather(*[_check(d) for d in _LOCAL_CONTAINER_DEFS])
return {"containers": list(results), "socket_available": sock_ok}
@router.post("/api/local-containers/{name}/start")
async def start_local_container(name: str):
if not any(c["name"] == name for c in _LOCAL_CONTAINER_DEFS):
raise HTTPException(404, f"Unknown container: {name}")
try:
code, _ = await asyncio.to_thread(_docker_post, f"/containers/{quote(name, safe='')}/start")
except Exception as e:
raise HTTPException(502, f"Docker start failed: {e}")
if code not in (204, 304):
raise HTTPException(502, f"Docker API returned HTTP {code}")
return {"ok": True, "name": name, **_container_status(name)}
@router.post("/api/local-containers/{name}/stop")
async def stop_local_container(name: str):
if not any(c["name"] == name for c in _LOCAL_CONTAINER_DEFS):
raise HTTPException(404, f"Unknown container: {name}")
try:
code, _ = await asyncio.to_thread(_docker_post, f"/containers/{quote(name, safe='')}/stop?t=10")
except Exception as e:
raise HTTPException(502, f"Docker stop failed: {e}")
if code not in (204, 304):
raise HTTPException(502, f"Docker API returned HTTP {code}")
return {"ok": True, "name": name, **_container_status(name)}
@router.post("/api/local-containers/{name}/restart")
async def restart_local_container(name: str):
if not any(c["name"] == name for c in _LOCAL_CONTAINER_DEFS):
raise HTTPException(404, f"Unknown container: {name}")
try:
code, _ = await asyncio.to_thread(_docker_post, f"/containers/{quote(name, safe='')}/restart?t=10")
except Exception as e:
raise HTTPException(502, f"Docker restart failed: {e}")
if code not in (204, 304):
raise HTTPException(502, f"Docker API returned HTTP {code}")
return {"ok": True, "name": name, **_container_status(name)}
def _engine_api_key(settings: dict, name: str, role: str, supplied: str = "", url: str = "") -> str:
card_key = _engine_card_api_key(settings, name)
if role == "tts":
return supplied or _tts_api_key(settings, url, name) or "sk-dummy-key"
if name:
return supplied or card_key or "sk-dummy-key"
fallback = {
"anthropic": "llm_api_key", "llm": "llm_api_key", "openai": "llm_api_key",
"ollama": "llm_api_key", "stt": "whisper_api_key", "tts": "tts_api_key",
"ocr": "vision_ocr_api_key",
}.get(role, "")
key = supplied or card_key or settings.get(fallback, "")
return key or "sk-dummy-key"
def _engine_headers(key: str, role: str) -> dict:
if role == "anthropic":
return {"x-api-key": key, "anthropic-version": "2023-06-01"}
return {"Authorization": f"Bearer {key}"}
@router.post("/api/local-containers/{name}/connection")
async def engine_connection(name: str, request: Request):
body = await request.json()
if not isinstance(body, dict) or not isinstance(body.get("connected"), bool):
raise HTTPException(400, "connected must be a boolean")
settings = _load_settings()
known = {card["name"] for card in _LOCAL_CONTAINER_DEFS}
known.update(str(card.get("id") or card.get("name")) for card in settings.get("custom_engine_cards", []))
if name not in known:
raise HTTPException(404, "Unknown engine")
active = dict(settings.get("engine_active") or {})
urls = dict(settings.get("engine_local_urls") or {})
urls.update({str(identity).removeprefix("dc-"): url for identity, url in list(urls.items()) if str(identity).startswith("dc-")})
urls = {identity: url for identity, url in urls.items() if not str(identity).startswith("dc-")}
roles = {card["name"]: card["role"] for card in _LOCAL_CONTAINER_DEFS}
for card in settings.get("custom_engine_cards", []):
identity = str(card.get("id") or card.get("name"))
urls.setdefault(identity, card.get("url"))
roles[identity] = card.get("role", "")
def endpoint(url):
return str(url or "").rstrip("/").removesuffix("/v1")
for role, setting in (("llm", "llm_url"), ("ocr", "vision_ocr_url")):
selected_url = endpoint(settings.get(setting))
if setting not in active and selected_url:
candidates = dict(urls)
parsed = urlsplit(selected_url)
if parsed.hostname in {"localhost", "127.0.0.1", "::1", "host.docker.internal"}:
for card in _LOCAL_CONTAINER_DEFS:
if card["port"] == parsed.port:
candidates.setdefault(card["name"], selected_url)
matches = [identity for identity, url in candidates.items() if role in roles.get(identity, "").split("+") and endpoint(url) == selected_url]
if matches == [name]:
active[setting] = name
settings["engine_active"] = active
disabled = dict(settings.get("engine_disabled") or {})
if body["connected"]:
disabled.pop(name, None)
else:
disabled[name] = True
settings["engine_disabled"] = disabled
_save_settings(_normalize_settings(settings))
return {"ok": True, "connected": body["connected"]}
@router.get("/api/probe-url")
async def probe_url(url: str, type: str = "", name: str = "", provider_api_key: str = Header("", alias="X-Provider-API-Key")):
"""Server-side API probe — checks service-specific endpoints and validates JSON responses."""
base = _normalize_service_url(url).rstrip("/")
for _suffix in ("/v1", "/api/v1"):
if base.endswith(_suffix):
base = base[: -len(_suffix)]
break
settings = _load_settings()
key_to_use = _engine_api_key(settings, name, type, provider_api_key, base)
hdrs = {"User-Agent": "TTS-Voice-Creator/probe", **_engine_headers(key_to_use, type)}
if type == "anthropic":
checks = [("/v1/models", "data")]
elif type == "llm":
checks = [("/v1/models", "data"), ("/api/tags", "models"), ("/api/version", None)]
elif type == "stt":
checks = [("/health", None), ("/v1/models", "data"), ("/v1/audio/transcriptions", None)]
elif type == "tts":
checks = [("/health", None), ("/v1/models", "data"), ("/v1/health", None), ("/v1/audio/voices", None), ("/speakers", None), ("/voices", None)]
elif type == "ocr":
checks = [("/health", None), ("/v1/models", "data"), ("/v1/chat/completions", None), ("/parse", None), ("/ocr", None)]
elif type == "comfyui":
checks = [("/system_stats", "system")]
else:
checks = [("", None)]
result = await asyncio.to_thread(probe_provider, base, checks, headers=hdrs, timeout=5)
return {key: value for key, value in result.items() if key != 'payload'}
@router.post("/api/local-containers/{name}/use-as-llm")
async def use_as_llm(name: str, request: Request, provider_api_key: str = Header("", alias="X-Provider-API-Key")):
"""Make an engine card the active LLM, saving the same credential Connect
just verified — not a possibly-stale global llm_api_key.
The URL always comes from the request body. The key comes from (in
order): an explicit header (a freshly typed, not-yet-saved key), then
this card's own saved engine_api_keys[name] — the browser cannot supply
that value itself once saved, since it is masked before ever reaching
the browser.
"""
body = await request.json()
url = _normalize_service_url(str(body.get("url") or "")).strip()
if not url:
raise HTTPException(400, "URL is required")
s = _load_settings()
card_key = _engine_card_api_key(s, name)
key_to_use = provider_api_key or card_key or ""
s["llm_url"] = url
s["engine_active"] = {**(s.get("engine_active") or {}), "llm_url": name}
s["engine_disabled"] = {key: value for key, value in (s.get("engine_disabled") or {}).items() if key != name}
s["llm_api_key"] = key_to_use
s["llm_model"] = str(body.get("model") or "").strip()
if key_to_use:
if provider_api_key:
# Keep this card's own saved key in sync with what was just typed.
engine_keys = dict(s.get("engine_api_keys") or {})
engine_keys[name] = provider_api_key
s["engine_api_keys"] = engine_keys
s = _normalize_settings(s)
_save_settings(s)
return {"ok": True, "llm_url": url, "key_set": bool(key_to_use)}
@router.post("/api/local-containers/{name}/use-as-engine")
async def use_as_engine(name: str, request: Request, provider_api_key: str = Header("", alias="X-Provider-API-Key")):
body = await request.json()
if not isinstance(body, dict):
raise HTTPException(400, "JSON object is required")
role = str(body.get("role") or "")
setting_key = str(body.get("setting_key") or "")
targets = {
"stt": {"whisper_url", "faster_whisper_url", "whisper_cpp_url", "nvidia_asr_url", "nvidia_router_url"},
"tts": {"tts_url", "tts_stream_url", "voice_design_url", "customvoice_url", "kokoro_url", "vibevoice_url", "xtts_url", "fishspeech_url", "nvidia_tts_url", "nvidia_clone_url", "nvidia_zeroshot_url", "nvidia_flow_url"},
"ocr": {"vision_ocr_url"},
}
if setting_key not in targets.get(role, set()):
raise HTTPException(400, "Unsupported engine setting")
url = _normalize_service_url(str(body.get("url") or "")).strip()
if not url:
raise HTTPException(400, "URL is required")
settings = _load_settings()
key = provider_api_key or _engine_card_api_key(settings, name)
if role == "tts" and not key:
key = _tts_api_key(settings, url, name)
settings[setting_key] = url
settings["engine_active"] = {**(settings.get("engine_active") or {}), setting_key: name}
settings["engine_disabled"] = {key: value for key, value in (settings.get("engine_disabled") or {}).items() if key != name}
settings["engine_local_urls"] = {**(settings.get("engine_local_urls") or {}), name: url}
credential_setting = "voice_design_api_key" if setting_key == "voice_design_url" else {
"stt": "whisper_api_key", "tts": "tts_api_key", "ocr": "vision_ocr_api_key",
}[role]
if setting_key in {"whisper_url", "tts_url", "voice_design_url", "vision_ocr_url"}:
settings[credential_setting] = key
settings["engine_api_keys"] = {**(settings.get("engine_api_keys") or {}), name: key}
model = str(body.get("model") or "").strip()
settings["engine_models"] = {**(settings.get("engine_models") or {}), name: model}
if role == "ocr":
from core.constants import _VISION_OCR_MODEL_DEFAULT
settings["vision_ocr_model"] = model or _VISION_OCR_MODEL_DEFAULT
elif role == "tts":
settings["tts_models"] = {**(settings.get("tts_models") or {}), setting_key: model}
else:
backend = {"whisper_url": "configured", "faster_whisper_url": "faster_whisper", "whisper_cpp_url": "whisper_cpp", "nvidia_asr_url": "nvidia_parakeet", "nvidia_router_url": "nvidia_router"}[setting_key]
settings["stt_models"] = {**(settings.get("stt_models") or {}), backend: model}
if body.get("activate") is True:
if role == "stt":
custom = any(str(card.get("id") or card.get("name")) == name for card in settings.get("custom_engine_cards", []))
settings["stt_preferred_backend"] = "custom:" + name if custom else backend
elif role == "tts":
settings["tts_backend"] = "openai"
elif role == "ocr":
settings["vision_ocr_enabled"] = True
_save_settings(_normalize_settings(settings))
return {"ok": True, "key_set": bool(key)}
@router.get("/api/engine-models")
async def engine_models(url: str, type: str = "", name: str = "", provider_api_key: str = Header("", alias="X-Provider-API-Key")):
"""Return model IDs from an OpenAI-style engine URL without exposing host-only URLs to the browser."""
base = _normalize_service_url(url).rstrip("/")
if not base:
raise HTTPException(400, "URL is required")
candidates: list[str] = []
if base.endswith("/v1"):
candidates = [base + "/models", base[:-3].rstrip("/") + "/models"]
else:
candidates = [base.rstrip("/") + "/v1/models", base.rstrip("/") + "/models"]
if type == "ollama":
candidates.append(base.rstrip("/") + "/api/tags")
last_err = "No response"
seen: set[str] = set()
models: list[str] = []
settings = _load_settings()
key_to_use = _engine_api_key(settings, name, type, provider_api_key, base)
for endpoint in candidates:
try:
r = await asyncio.to_thread(requests.get, endpoint, timeout=6, headers={**_engine_headers(key_to_use, type), "User-Agent": "TTS-Voice-Creator/models"})
if r.status_code >= 400:
last_err = f"HTTP {r.status_code} from {endpoint}"
continue
payload = r.json()
data = payload.get("data") if isinstance(payload, dict) else None
if data is None and isinstance(payload, dict):
data = payload.get("models")
if data is None and isinstance(payload, list):
data = payload
if not isinstance(data, list):
last_err = f"Unexpected model response from {endpoint}"
continue
for item in data:
mid = ""
if isinstance(item, str):
mid = item
elif isinstance(item, dict):
mid = str(item.get("id") or item.get("name") or item.get("model") or "")
mid = mid.strip()
if mid and mid not in seen:
seen.add(mid)
models.append(mid)
if models:
if type in {"llm", "openai", "ollama"}:
aliases = await asyncio.to_thread(_litellm_model_aliases, base, key_to_use)
models = [alias for alias in aliases if alias not in models] + models
return {"ok": True, "url": base, "endpoint": endpoint, "models": models}
except requests.exceptions.Timeout:
last_err = "Timeout fetching models"
except Exception as e:
last_err = str(e)
return {"ok": False, "url": base, "models": models, "error": last_err}
Reference in New Issue View Git Blame Copy Permalink