open-webui/backend/beyond_the_loop/routers/openai.py

877 lines
31 KiB
Python

import asyncio
import hashlib
import json
import logging
from pathlib import Path
from typing import Optional
import aiohttp
from aiocache import cached
import requests
from fastapi import Depends, HTTPException, Request, APIRouter
from fastapi.responses import FileResponse, StreamingResponse
from pydantic import BaseModel
from starlette.background import BackgroundTask
from beyond_the_loop.routers.payments import charge_customer
from beyond_the_loop.models.models import Models
from beyond_the_loop.models.model_message_credit_costs import ModelMessageCreditCosts
from beyond_the_loop.models.companies import Companies
from beyond_the_loop.models.companies import EIGHTY_PERCENT_CREDIT_LIMIT
from beyond_the_loop.models.completions import Completions
from beyond_the_loop.services.email_service import EmailService
from beyond_the_loop.models.completions import calculate_saved_time_in_seconds
from open_webui.config import (
CACHE_DIR,
)
from open_webui.env import (
AIOHTTP_CLIENT_TIMEOUT,
AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST,
ENABLE_FORWARD_USER_INFO_HEADERS,
BYPASS_MODEL_ACCESS_CONTROL,
)
from open_webui.constants import ERROR_MESSAGES
from open_webui.env import SRC_LOG_LEVELS
from open_webui.utils.payload import (
apply_model_params_to_body_openai,
apply_model_system_prompt_to_body,
)
from open_webui.utils.auth import get_admin_user, get_verified_user
from open_webui.utils.access_control import has_access
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["OPENAI"])
##########################################
#
# Utility functions
#
##########################################
async def send_get_request(url, key=None):
timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST)
try:
async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
async with session.get(
url, headers={**({"Authorization": f"Bearer {key}"} if key else {})}
) as response:
return await response.json()
except Exception as e:
# Handle connection error here
log.error(f"Connection error: {e}")
return None
async def cleanup_response(
response: Optional[aiohttp.ClientResponse],
session: Optional[aiohttp.ClientSession],
):
if response:
response.close()
if session:
await session.close()
def openai_o1_handler(payload):
"""
Handle O1 specific parameters
"""
if "max_tokens" in payload:
# Remove "max_tokens" from the payload
payload["max_completion_tokens"] = payload["max_tokens"]
del payload["max_tokens"]
# Fix: O1 does not support the "system" parameter, Modify "system" to "user"
if payload["messages"][0]["role"] == "system":
payload["messages"][0]["role"] = "user"
return payload
##########################################
#
# API routes
#
##########################################
router = APIRouter()
@router.get("/config")
async def get_config(request: Request, user=Depends(get_admin_user)):
return {
"ENABLE_OPENAI_API": request.app.state.config.ENABLE_OPENAI_API,
"OPENAI_API_BASE_URLS": request.app.state.config.OPENAI_API_BASE_URLS,
"OPENAI_API_KEYS": request.app.state.config.OPENAI_API_KEYS,
"OPENAI_API_CONFIGS": request.app.state.config.OPENAI_API_CONFIGS,
}
class OpenAIConfigForm(BaseModel):
ENABLE_OPENAI_API: Optional[bool] = None
OPENAI_API_BASE_URLS: list[str]
OPENAI_API_KEYS: list[str]
OPENAI_API_CONFIGS: dict
@router.post("/config/update")
async def update_config(
request: Request, form_data: OpenAIConfigForm, user=Depends(get_admin_user)
):
request.app.state.config.ENABLE_OPENAI_API = form_data.ENABLE_OPENAI_API
request.app.state.config.OPENAI_API_BASE_URLS = form_data.OPENAI_API_BASE_URLS
request.app.state.config.OPENAI_API_KEYS = form_data.OPENAI_API_KEYS
# Check if API KEYS length is same than API URLS length
if len(request.app.state.config.OPENAI_API_KEYS) != len(
request.app.state.config.OPENAI_API_BASE_URLS
):
if len(request.app.state.config.OPENAI_API_KEYS) > len(
request.app.state.config.OPENAI_API_BASE_URLS
):
request.app.state.config.OPENAI_API_KEYS = (
request.app.state.config.OPENAI_API_KEYS[
: len(request.app.state.config.OPENAI_API_BASE_URLS)
]
)
else:
request.app.state.config.OPENAI_API_KEYS += [""] * (
len(request.app.state.config.OPENAI_API_BASE_URLS)
- len(request.app.state.config.OPENAI_API_KEYS)
)
request.app.state.config.OPENAI_API_CONFIGS = form_data.OPENAI_API_CONFIGS
# Remove the API configs that are not in the API URLS
keys = list(map(str, range(len(request.app.state.config.OPENAI_API_BASE_URLS))))
request.app.state.config.OPENAI_API_CONFIGS = {
key: value
for key, value in request.app.state.config.OPENAI_API_CONFIGS.items()
if key in keys
}
return {
"ENABLE_OPENAI_API": request.app.state.config.ENABLE_OPENAI_API,
"OPENAI_API_BASE_URLS": request.app.state.config.OPENAI_API_BASE_URLS,
"OPENAI_API_KEYS": request.app.state.config.OPENAI_API_KEYS,
"OPENAI_API_CONFIGS": request.app.state.config.OPENAI_API_CONFIGS,
}
@router.post("/audio/speech")
async def speech(request: Request, user=Depends(get_verified_user)):
idx = None
try:
idx = request.app.state.config.OPENAI_API_BASE_URLS.index(
"https://api.openai.com/v1"
)
body = await request.body()
name = hashlib.sha256(body).hexdigest()
SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
# Check if the file already exists in the cache
if file_path.is_file():
return FileResponse(file_path)
url = request.app.state.config.OPENAI_API_BASE_URLS[idx]
r = None
try:
r = requests.post(
url=f"{url}/audio/speech",
data=body,
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {request.app.state.config.OPENAI_API_KEYS[idx]}",
**(
{
"HTTP-Referer": "https://openwebui.com/",
"X-Title": "Open WebUI",
}
if "openrouter.ai" in url
else {}
),
**(
{
"X-OpenWebUI-User-Name": user.name,
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS
else {}
),
},
stream=True,
)
r.raise_for_status()
# Save the streaming content to a file
with open(file_path, "wb") as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
with open(file_body_path, "w") as f:
json.dump(json.loads(body.decode("utf-8")), f)
# Return the saved file
return FileResponse(file_path)
except Exception as e:
log.exception(e)
detail = None
if r is not None:
try:
res = r.json()
if "error" in res:
detail = f"External: {res['error']}"
except Exception:
detail = f"External: {e}"
raise HTTPException(
status_code=r.status_code if r else 500,
detail=detail if detail else "Open WebUI: Server Connection Error",
)
except ValueError:
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.OPENAI_NOT_FOUND)
async def get_all_models_responses(request: Request) -> list:
if not request.app.state.config.ENABLE_OPENAI_API:
return []
# Check if API KEYS length is same than API URLS length
num_urls = len(request.app.state.config.OPENAI_API_BASE_URLS)
num_keys = len(request.app.state.config.OPENAI_API_KEYS)
if num_keys != num_urls:
# if there are more keys than urls, remove the extra keys
if num_keys > num_urls:
new_keys = request.app.state.config.OPENAI_API_KEYS[:num_urls]
request.app.state.config.OPENAI_API_KEYS = new_keys
# if there are more urls than keys, add empty keys
else:
request.app.state.config.OPENAI_API_KEYS += [""] * (num_urls - num_keys)
request_tasks = []
for idx, url in enumerate(request.app.state.config.OPENAI_API_BASE_URLS):
if (str(idx) not in request.app.state.config.OPENAI_API_CONFIGS) and (
url not in request.app.state.config.OPENAI_API_CONFIGS # Legacy support
):
request_tasks.append(
send_get_request(
f"{url}/models", request.app.state.config.OPENAI_API_KEYS[idx]
)
)
else:
api_config = request.app.state.config.OPENAI_API_CONFIGS.get(
str(idx),
request.app.state.config.OPENAI_API_CONFIGS.get(
url, {}
), # Legacy support
)
enable = api_config.get("enable", True)
model_ids = api_config.get("model_ids", [])
if enable:
if len(model_ids) == 0:
request_tasks.append(
send_get_request(
f"{url}/models",
request.app.state.config.OPENAI_API_KEYS[idx],
)
)
else:
model_list = {
"object": "list",
"data": [
{
"id": model_id,
"name": model_id,
"owned_by": "openai",
"openai": {"id": model_id},
"urlIdx": idx,
}
for model_id in model_ids
],
}
request_tasks.append(
asyncio.ensure_future(asyncio.sleep(0, model_list))
)
else:
request_tasks.append(asyncio.ensure_future(asyncio.sleep(0, None)))
responses = await asyncio.gather(*request_tasks)
for idx, response in enumerate(responses):
if response:
url = request.app.state.config.OPENAI_API_BASE_URLS[idx]
api_config = request.app.state.config.OPENAI_API_CONFIGS.get(
str(idx),
request.app.state.config.OPENAI_API_CONFIGS.get(
url, {}
), # Legacy support
)
prefix_id = api_config.get("prefix_id", None)
if prefix_id:
for model in (
response if isinstance(response, list) else response.get("data", [])
):
model["id"] = f"{prefix_id}.{model['id']}"
log.debug(f"get_all_models:responses() {responses}")
return responses
async def get_filtered_models(models, user):
# Filter models based on user access control
filtered_models = []
for model in models.get("data", []):
model_info = Models.get_model_by_id(model["id"])
if model_info:
if has_access(
user.id, type="read", access_control=model_info.access_control
):
filtered_models.append(model)
return filtered_models
@cached(ttl=3)
async def get_all_models(request: Request) -> dict[str, list]:
log.info("get_all_models()")
if not request.app.state.config.ENABLE_OPENAI_API:
return {"data": []}
responses = await get_all_models_responses(request)
def extract_data(response):
if response and "data" in response:
return response["data"]
if isinstance(response, list):
return response
return None
def merge_models_lists(model_lists):
log.debug(f"merge_models_lists {model_lists}")
merged_list = []
for idx, models in enumerate(model_lists):
if models is not None and "error" not in models:
merged_list.extend(
[
{
**model,
"name": model.get("name", model["id"]),
"owned_by": "openai",
"openai": model,
"urlIdx": idx,
}
for model in models
if "api.openai.com"
not in request.app.state.config.OPENAI_API_BASE_URLS[idx]
or not any(
name in model["id"]
for name in [
"babbage",
"dall-e",
"davinci",
"embedding",
"tts",
"whisper",
]
)
]
)
return merged_list
models = {"data": merge_models_lists(map(extract_data, responses))}
log.debug(f"models: {models}")
request.app.state.OPENAI_MODELS = {model["id"]: model for model in models["data"]}
return models
@router.get("/models")
@router.get("/models/{url_idx}")
async def get_models(
request: Request, url_idx: Optional[int] = None, user=Depends(get_verified_user)
):
models = {
"data": [],
}
if url_idx is None:
models = await get_all_models(request)
else:
url = request.app.state.config.OPENAI_API_BASE_URLS[url_idx]
key = request.app.state.config.OPENAI_API_KEYS[url_idx]
r = None
async with aiohttp.ClientSession(
timeout=aiohttp.ClientTimeout(
total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST
)
) as session:
try:
async with session.get(
f"{url}/models",
headers={
"Authorization": f"Bearer {key}",
"Content-Type": "application/json",
**(
{
"X-OpenWebUI-User-Name": user.name,
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS
else {}
),
},
) as r:
if r.status != 200:
# Extract response error details if available
error_detail = f"HTTP Error: {r.status}"
res = await r.json()
if "error" in res:
error_detail = f"External Error: {res['error']}"
raise Exception(error_detail)
response_data = await r.json()
# Check if we're calling OpenAI API based on the URL
if "api.openai.com" in url:
# Filter models according to the specified conditions
response_data["data"] = [
model
for model in response_data.get("data", [])
if not any(
name in model["id"]
for name in [
"babbage",
"dall-e",
"davinci",
"embedding",
"tts",
"whisper",
]
)
]
models = response_data
except aiohttp.ClientError as e:
# ClientError covers all aiohttp requests issues
log.exception(f"Client error: {str(e)}")
raise HTTPException(
status_code=500, detail="Open WebUI: Server Connection Error"
)
except Exception as e:
log.exception(f"Unexpected error: {e}")
error_detail = f"Unexpected error: {str(e)}"
raise HTTPException(status_code=500, detail=error_detail)
if user.role == "user" and not BYPASS_MODEL_ACCESS_CONTROL:
models["data"] = await get_filtered_models(models, user)
return models
class ConnectionVerificationForm(BaseModel):
url: str
key: str
@router.post("/verify")
async def verify_connection(
form_data: ConnectionVerificationForm, user=Depends(get_admin_user)
):
url = form_data.url
key = form_data.key
async with aiohttp.ClientSession(
timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST)
) as session:
try:
async with session.get(
f"{url}/models",
headers={
"Authorization": f"Bearer {key}",
"Content-Type": "application/json",
},
) as r:
if r.status != 200:
# Extract response error details if available
error_detail = f"HTTP Error: {r.status}"
res = await r.json()
if "error" in res:
error_detail = f"External Error: {res['error']}"
raise Exception(error_detail)
response_data = await r.json()
return response_data
except aiohttp.ClientError as e:
# ClientError covers all aiohttp requests issues
log.exception(f"Client error: {str(e)}")
raise HTTPException(
status_code=500, detail="Open WebUI: Server Connection Error"
)
except Exception as e:
log.exception(f"Unexpected error: {e}")
error_detail = f"Unexpected error: {str(e)}"
raise HTTPException(status_code=500, detail=error_detail)
@router.post("/chat/completions")
async def generate_chat_completion(
request: Request,
form_data: dict,
user=Depends(get_verified_user),
bypass_filter: Optional[bool] = False,
):
if BYPASS_MODEL_ACCESS_CONTROL:
bypass_filter = True
idx = 0
payload = {**form_data}
metadata = payload.pop("metadata", None)
model_id = form_data.get("model")
model_info = Models.get_model_by_id(model_id)
chat_id = metadata.get("chat_id", "no_chat_id")
has_chat_id = "chat_id" in metadata and metadata["chat_id"] is not None
# Initialize the credit cost variable
model_message_credit_cost = 0
if has_chat_id:
model_message_credit_cost = ModelMessageCreditCosts.get_cost_by_model(model_id)
# Get current credit balance
current_balance = Companies.get_credit_balance(user.company_id)
# Check if company has sufficient credits
if current_balance < model_message_credit_cost:
email_service = EmailService()
email_service.send_budget_mail_100(to_email=user.email, recipient_name=user.name)
raise HTTPException(
status_code=402, # 402 Payment Required
detail=f"Insufficient credits. This operation requires {model_message_credit_cost} credits.",
)
# Check 80% threshold
if current_balance - model_message_credit_cost < EIGHTY_PERCENT_CREDIT_LIMIT: # If balance is less than 125% of required (which means we're below 80%)
email_service = EmailService()
should_send_budget_email_80 = True # Default to sending email
if Companies.get_auto_recharge(user.company_id):
try:
# Trigger auto-recharge using the charge_customer endpoint
await charge_customer(user)
# Note: The webhook will handle adding the credits when payment succeeds
should_send_budget_email_80 = False # Don't send email if auto-recharge succeeded
except HTTPException as e:
print(f"Auto-recharge failed: {str(e)}")
except Exception as e:
print(f"Unexpected error during auto-recharge: {str(e)}")
if should_send_budget_email_80:
email_service.send_budget_mail_80(to_email=user.email, recipient_name=user.name)
# Subtract credits from balance
Companies.subtract_credit_balance(user.company_id, model_message_credit_cost)
# Check model info and override the payload
if model_info:
if model_info.base_model_id:
payload["model"] = model_info.base_model_id
model_id = model_info.base_model_id
params = model_info.params.model_dump()
payload = apply_model_params_to_body_openai(params, payload)
payload = apply_model_system_prompt_to_body(params, payload, metadata, user)
# Check if user has access to the model
if not bypass_filter and user.role == "user":
if not (
has_access(
user.id, type="read", access_control=model_info.access_control
)
):
raise HTTPException(
status_code=403,
detail="Model not found",
)
elif not bypass_filter:
if user.role != "admin":
raise HTTPException(
status_code=403,
detail="Model not found",
)
await get_all_models(request)
model = request.app.state.OPENAI_MODELS.get(model_id)
if model:
idx = model["urlIdx"]
else:
raise HTTPException(
status_code=404,
detail="Model not found",
)
# Get the API config for the model
api_config = request.app.state.config.OPENAI_API_CONFIGS.get(
str(idx),
request.app.state.config.OPENAI_API_CONFIGS.get(
request.app.state.config.OPENAI_API_BASE_URLS[idx], {}
), # Legacy support
)
prefix_id = api_config.get("prefix_id", None)
if prefix_id:
payload["model"] = payload["model"].replace(f"{prefix_id}.", "")
# Add user info to the payload if the model is a pipeline
if "pipeline" in model and model.get("pipeline"):
payload["user"] = {
"name": user.name,
"id": user.id,
"email": user.email,
"role": user.role,
}
url = request.app.state.config.OPENAI_API_BASE_URLS[idx]
key = request.app.state.config.OPENAI_API_KEYS[idx]
# Fix: O1 does not support the "max_tokens" parameter, Modify "max_tokens" to "max_completion_tokens"
is_o1 = payload["model"].lower().startswith("o1-")
if is_o1:
payload = openai_o1_handler(payload)
elif "api.openai.com" not in url:
# Remove "max_completion_tokens" from the payload for backward compatibility
if "max_completion_tokens" in payload:
payload["max_tokens"] = payload["max_completion_tokens"]
del payload["max_completion_tokens"]
if "max_tokens" in payload and "max_completion_tokens" in payload:
del payload["max_tokens"]
# Convert the modified body back to JSON
payload = json.dumps(payload)
r = None
session = None
streaming = False
response = None
# Parse payload once for both streaming and non-streaming cases
payload_dict = json.loads(payload)
last_user_message = next((msg['content'] for msg in reversed(payload_dict['messages'])
if msg['role'] == 'user'), '')
try:
session = aiohttp.ClientSession(
trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
)
r = await session.request(
method="POST",
url=f"{url}/chat/completions",
data=payload,
headers={
"Authorization": f"Bearer {key}",
"Content-Type": "application/json",
**(
{
"HTTP-Referer": "https://openwebui.com/",
"X-Title": "Open WebUI",
}
if "openrouter.ai" in url
else {}
),
**(
{
"X-OpenWebUI-User-Name": user.name,
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS
else {}
),
},
)
# Check if response is SSE
if "text/event-stream" in r.headers.get("Content-Type", ""):
streaming = True
async def insert_completion_if_streaming_is_done():
full_response = ""
async for chunk in r.content:
chunk_str = chunk.decode()
if chunk_str.startswith('data: '):
try:
data = json.loads(chunk_str[6:])
delta = data.get('choices', [{}])[0].get('delta', {}).get('content', '')
if delta: # Only use it if there's actual content
full_response += delta
elif data.get('choices', [{}])[0].get('finish_reason'):
# End of stream
# Add completion to completion table if it's a chat message from the user
if has_chat_id:
Completions.insert_new_completion(user.id, metadata["chat_id"], model_id, model_message_credit_cost, calculate_saved_time_in_seconds(last_user_message, full_response))
except json.JSONDecodeError:
print(f"\n{chunk_str}")
yield chunk
return StreamingResponse(
insert_completion_if_streaming_is_done(),
status_code=r.status,
headers=dict(r.headers),
background=BackgroundTask(
cleanup_response, response=r, session=session
),
)
else:
try:
response = await r.json()
except Exception as e:
log.error(e)
response = await r.text()
r.raise_for_status()
if has_chat_id:
# Add completion to completion table
response_content = response.get('choices', [{}])[0].get('message', {}).get('content', '')
Completions.insert_new_completion(user.id, metadata["chat_id"], model_id, model_message_credit_cost, calculate_saved_time_in_seconds(last_user_message, response_content))
return response
except Exception as e:
log.exception(e)
detail = None
if isinstance(response, dict):
if "error" in response:
detail = f"{response['error']['message'] if 'message' in response['error'] else response['error']}"
elif isinstance(response, str):
detail = response
raise HTTPException(
status_code=r.status if r else 500,
detail=detail if detail else "Open WebUI: Server Connection Error",
)
finally:
if not streaming and session:
if r:
r.close()
await session.close()
@router.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
"""
Deprecated: proxy all requests to OpenAI API
"""
body = await request.body()
idx = 0
url = request.app.state.config.OPENAI_API_BASE_URLS[idx]
key = request.app.state.config.OPENAI_API_KEYS[idx]
r = None
session = None
streaming = False
try:
session = aiohttp.ClientSession(trust_env=True)
r = await session.request(
method=request.method,
url=f"{url}/{path}",
data=body,
headers={
"Authorization": f"Bearer {key}",
"Content-Type": "application/json",
**(
{
"X-OpenWebUI-User-Name": user.name,
"X-OpenWebUI-User-Id": user.id,
"X-OpenWebUI-User-Email": user.email,
"X-OpenWebUI-User-Role": user.role,
}
if ENABLE_FORWARD_USER_INFO_HEADERS
else {}
),
},
)
r.raise_for_status()
# Check if response is SSE
if "text/event-stream" in r.headers.get("Content-Type", ""):
streaming = True
return StreamingResponse(
r.content,
status_code=r.status,
headers=dict(r.headers),
background=BackgroundTask(
cleanup_response, response=r, session=session
),
)
else:
response_data = await r.json()
return response_data
except Exception as e:
log.exception(e)
detail = None
if r is not None:
try:
res = await r.json()
print(res)
if "error" in res:
detail = f"External Error: {res['error']['message'] if 'message' in res['error'] else res['error']}"
except Exception:
detail = f"External: {e}"
raise HTTPException(
status_code=r.status if r else 500,
detail=detail if detail else "Open WebUI: Server Connection Error",
)
finally:
if not streaming and session:
if r:
r.close()
await session.close()