deer-flow/backend/app/gateway/routers/managed_models.py
YxinMiracle b8ab097ca2
fix(models): support official DeepSeek managed profiles (#5718)
Co-authored-by: YxinMiracle <“939157765@qq.com”>
2026-09-22 17:53:21 +08:00

104 lines
4.7 KiB
Python

"""Admin-only shared model management. Credentials never leave the server."""
import asyncio
from fastapi import APIRouter, HTTPException, Request
from langchain_core.messages import HumanMessage
from pydantic import BaseModel, ConfigDict
from app.gateway.deps import require_admin_user
from deerflow.config.app_config import get_app_config
from deerflow.config.managed_models import ManagedModel, ManagedModelStore
from deerflow.reflection import resolve_class
router = APIRouter(prefix="/api/managed-models", tags=["models"])
_ADMIN = "Admin privileges are required to manage shared models."
class SaveModelRequest(BaseModel):
model_config = ConfigDict(extra="forbid")
config: ManagedModel
expected_revision: str | None = None
def _catalog():
config = get_app_config()
yaml_models = [item for item in config.models if item.name not in config._managed_model_names]
yaml_names = {item.name for item in yaml_models}
return {
"models": [{"name": item.name, "display_name": item.display_name or item.name, "model": item.model, "source": "config", "enabled": True} for item in yaml_models]
+ [{**item.public(), "conflict": item.name in yaml_names} for item in ManagedModelStore().list()]
}
@router.get("")
async def list_managed_models(request: Request):
await require_admin_user(request, detail=_ADMIN)
try:
return await asyncio.to_thread(_catalog)
except ValueError:
raise HTTPException(503, "Managed model storage is unavailable; check the catalog and encryption key") from None
def _save(body: SaveModelRequest):
config = get_app_config()
if any(item.name == body.config.name and item.name not in config._managed_model_names for item in config.models):
raise HTTPException(409, "This model name is reserved by config.yaml")
try:
return ManagedModelStore().save(body.config, expected_revision=body.expected_revision).public()
except FileExistsError:
raise HTTPException(409, "Model changed or already exists; reload before saving") from None
except FileNotFoundError:
raise HTTPException(404, "Model no longer exists") from None
except (ValueError, OSError):
raise HTTPException(503, "Managed model storage is unavailable") from None
@router.put("")
async def save_model(request: Request, body: SaveModelRequest):
await require_admin_user(request, detail=_ADMIN)
return await asyncio.to_thread(_save, body)
def _probe_config(body: SaveModelRequest):
profile = body.config
if body.expected_revision is not None:
previous = next((item for item in ManagedModelStore().list() if item.name == profile.name), None)
if previous is None or previous.revision != body.expected_revision:
raise HTTPException(409, "Model changed; reload before testing")
if profile.api_key is None:
profile = profile.model_copy(update={"api_key": previous.api_key})
return profile.runtime_config()
def _build_probe(body: SaveModelRequest):
"""Resolve credentials and construct provider clients off the event loop."""
config = _probe_config(body)
settings = config.model_dump(include={"model", "api_key", "base_url", "api_base"}, exclude_none=True)
# Forced tool selection requires thinking off on DeepSeek. Reuse the resolved
# profile's disable settings without changing the saved chat configuration.
settings.update(config.when_thinking_disabled or {})
settings.update(timeout=15, max_retries=0, max_tokens=32)
model = resolve_class(config.use)(**settings)
return model.bind_tools([{"type": "function", "function": {"name": "connection_check", "description": "Check the connection", "parameters": {"type": "object", "properties": {}}}}], tool_choice="connection_check")
@router.post("/test")
async def test_model(request: Request, body: SaveModelRequest):
"""Send a bounded streaming tool-call probe without saving the profile."""
await require_admin_user(request, detail=_ADMIN)
try:
probe = await asyncio.to_thread(_build_probe, body)
response = None
async with asyncio.timeout(20):
async for chunk in probe.astream([HumanMessage(content="Call connection_check.")], config={"callbacks": []}):
response = chunk if response is None else response + chunk
if response is None or not any(call["name"] == "connection_check" and call["args"] == {} for call in response.tool_calls):
return {"ok": False, "message": "tool_call_missing"}
return {"ok": True, "message": "success"}
except HTTPException:
raise
except Exception:
# Provider exception strings may contain keys, URLs or response bodies.
return {"ok": False, "message": "connection_failed"}