qixinbo
205 lines
8.0 KiB
Python
205 lines
8.0 KiB
Python
import json
|
|
import os
|
|
from typing import List, Optional, Dict, Any
|
|
from fastapi import APIRouter, HTTPException, Depends, status
|
|
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
|
|
from jose import jwt, JWTError
|
|
from pydantic import BaseModel, Field
|
|
from app.core.security import SECRET_KEY, ALGORITHM
|
|
from litellm import completion
|
|
|
|
router = APIRouter()
|
|
security = HTTPBearer()
|
|
|
|
DATA_FILE = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), "data", "llm_config.json")
|
|
|
|
|
|
class CurrentUser(BaseModel):
|
|
id: int
|
|
username: str
|
|
is_admin: bool = False
|
|
|
|
class LLMConfig(BaseModel):
|
|
id: str = Field(..., description="Unique identifier for the LLM configuration")
|
|
name: Optional[str] = Field(None, description="Display name")
|
|
provider: str = Field(..., description="Provider name (e.g., openai, azure, anthropic)")
|
|
model: str = Field(..., description="Model name (e.g., gpt-4, claude-3-opus)")
|
|
api_key: Optional[str] = Field(None, description="API Key for the provider")
|
|
api_base: Optional[str] = Field(None, description="Base URL for the API")
|
|
extra_headers: Optional[Dict[str, str]] = Field(None, description="Extra headers for the request")
|
|
is_active: bool = Field(True, description="Whether this configuration is active")
|
|
|
|
class LLMConfigCreate(BaseModel):
|
|
id: str
|
|
name: Optional[str] = None
|
|
provider: str
|
|
model: str
|
|
api_key: Optional[str] = None
|
|
api_base: Optional[str] = None
|
|
extra_headers: Optional[Dict[str, str]] = None
|
|
is_active: bool = True
|
|
|
|
class LLMConfigUpdate(BaseModel):
|
|
name: Optional[str] = None
|
|
provider: Optional[str] = None
|
|
model: Optional[str] = None
|
|
api_key: Optional[str] = None
|
|
api_base: Optional[str] = None
|
|
extra_headers: Optional[Dict[str, str]] = None
|
|
is_active: Optional[bool] = None
|
|
|
|
class TestConnectionRequest(BaseModel):
|
|
provider: str
|
|
model: str
|
|
api_key: Optional[str] = None
|
|
api_base: Optional[str] = None
|
|
extra_headers: Optional[Dict[str, str]] = None
|
|
|
|
|
|
def get_current_user(credentials: HTTPAuthorizationCredentials = Depends(security)) -> CurrentUser:
|
|
unauthorized = HTTPException(
|
|
status_code=status.HTTP_401_UNAUTHORIZED,
|
|
detail="Invalid authentication credentials",
|
|
)
|
|
try:
|
|
payload = jwt.decode(credentials.credentials, SECRET_KEY, algorithms=[ALGORITHM])
|
|
except JWTError:
|
|
raise unauthorized
|
|
user_id = payload.get("id")
|
|
username = payload.get("sub")
|
|
is_admin = bool(payload.get("is_admin", False))
|
|
if user_id is None or username is None:
|
|
raise unauthorized
|
|
return CurrentUser(id=user_id, username=username, is_admin=is_admin)
|
|
|
|
|
|
def get_admin_user(current_user: CurrentUser = Depends(get_current_user)) -> CurrentUser:
|
|
if not current_user.is_admin:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Admin permission required")
|
|
return current_user
|
|
|
|
def _load_data() -> List[Dict[str, Any]]:
|
|
if not os.path.exists(DATA_FILE):
|
|
return []
|
|
try:
|
|
with open(DATA_FILE, "r") as f:
|
|
return json.load(f)
|
|
except json.JSONDecodeError:
|
|
return []
|
|
|
|
def _save_data(data: List[Dict[str, Any]]):
|
|
os.makedirs(os.path.dirname(DATA_FILE), exist_ok=True)
|
|
with open(DATA_FILE, "w") as f:
|
|
json.dump(data, f, indent=2)
|
|
|
|
|
|
def _sanitize_config(item: Dict[str, Any], is_admin: bool) -> Dict[str, Any]:
|
|
config = item.copy()
|
|
if not is_admin:
|
|
config["api_key"] = None
|
|
return config
|
|
|
|
@router.get("/llm", response_model=List[LLMConfig])
|
|
def list_llm_configs(current_user: CurrentUser = Depends(get_current_user)):
|
|
data = _load_data()
|
|
return [LLMConfig(**_sanitize_config(item, current_user.is_admin)) for item in data]
|
|
|
|
@router.get("/llm/{config_id}", response_model=LLMConfig)
|
|
def get_llm_config(config_id: str, current_user: CurrentUser = Depends(get_current_user)):
|
|
data = _load_data()
|
|
for item in data:
|
|
if item["id"] == config_id:
|
|
return LLMConfig(**_sanitize_config(item, current_user.is_admin))
|
|
raise HTTPException(status_code=404, detail="LLM configuration not found")
|
|
|
|
@router.post("/llm", response_model=LLMConfig)
|
|
def create_llm_config(config: LLMConfigCreate, _: CurrentUser = Depends(get_admin_user)):
|
|
data = _load_data()
|
|
if any(item["id"] == config.id for item in data):
|
|
raise HTTPException(status_code=400, detail="LLM configuration with this ID already exists")
|
|
|
|
new_config = config.dict()
|
|
if new_config.get("is_active"):
|
|
for item in data:
|
|
item["is_active"] = False
|
|
data.append(new_config)
|
|
_save_data(data)
|
|
return LLMConfig(**new_config)
|
|
|
|
@router.put("/llm/{config_id}", response_model=LLMConfig)
|
|
def update_llm_config(config_id: str, config: LLMConfigUpdate, _: CurrentUser = Depends(get_admin_user)):
|
|
data = _load_data()
|
|
for i, item in enumerate(data):
|
|
if item["id"] == config_id:
|
|
updated_item = item.copy()
|
|
update_data = config.dict(exclude_unset=True)
|
|
if update_data.get("is_active"):
|
|
for j in range(len(data)):
|
|
data[j]["is_active"] = False
|
|
updated_item.update(update_data)
|
|
data[i] = updated_item
|
|
_save_data(data)
|
|
return LLMConfig(**updated_item)
|
|
raise HTTPException(status_code=404, detail="LLM configuration not found")
|
|
|
|
@router.delete("/llm/{config_id}")
|
|
def delete_llm_config(config_id: str, _: CurrentUser = Depends(get_admin_user)):
|
|
data = _load_data()
|
|
initial_len = len(data)
|
|
data = [item for item in data if item["id"] != config_id]
|
|
if len(data) == initial_len:
|
|
raise HTTPException(status_code=404, detail="LLM configuration not found")
|
|
_save_data(data)
|
|
return {"message": "LLM configuration deleted successfully"}
|
|
|
|
@router.post("/llm/test")
|
|
def test_connection(request: TestConnectionRequest, _: CurrentUser = Depends(get_admin_user)):
|
|
try:
|
|
# Use litellm to test connection
|
|
# litellm handles many providers
|
|
kwargs = {
|
|
"model": request.model,
|
|
"messages": [{"role": "user", "content": "Hello"}],
|
|
"max_tokens": 5
|
|
}
|
|
|
|
if request.api_key:
|
|
kwargs["api_key"] = request.api_key
|
|
|
|
if request.api_base:
|
|
kwargs["api_base"] = request.api_base
|
|
|
|
if request.extra_headers:
|
|
kwargs["extra_headers"] = request.extra_headers
|
|
|
|
# For OpenAI-compatible endpoints that are not standard OpenAI (like Local, vLLM etc)
|
|
# usually user sets provider to "openai" and api_base to their custom URL.
|
|
# litellm usually works well if we pass custom_llm_provider="openai" if provider is openai but custom url
|
|
|
|
# If provider is "local" or "openai", we generally use "openai" format
|
|
if request.provider == "local":
|
|
kwargs["custom_llm_provider"] = "openai"
|
|
elif request.provider:
|
|
kwargs["custom_llm_provider"] = request.provider
|
|
|
|
# If user explicitly selected provider in UI, we might want to respect that
|
|
# But litellm completion main arg is 'model'.
|
|
# If the UI 'model' input doesn't have prefix, we might need to add it or pass custom_llm_provider.
|
|
|
|
# Simple heuristic: if provider is set, try to pass it if litellm supports it or just rely on env vars/args
|
|
# For this simple test, we just try to call it.
|
|
|
|
try:
|
|
response = completion(**kwargs)
|
|
except Exception as first_error:
|
|
error_text = str(first_error)
|
|
if request.provider and "Provider NOT provided" in error_text and "/" not in request.model:
|
|
retry_kwargs = kwargs.copy()
|
|
retry_kwargs["model"] = f"{request.provider}/{request.model}"
|
|
response = completion(**retry_kwargs)
|
|
else:
|
|
raise first_error
|
|
return {"success": True, "message": "Connection successful", "details": str(response)}
|
|
except Exception as e:
|
|
raise HTTPException(status_code=400, detail=f"Connection failed: {str(e)}")
|