open-webui/backend/open_webui/utils/chat.py

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import time
import logging
import sys
from aiocache import cached
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from typing import Any, Optional
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import random
import json
import inspect
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import uuid
import asyncio
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from fastapi import Request, status
from starlette.responses import Response, StreamingResponse, JSONResponse
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from open_webui.models.users import UserModel
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from open_webui.socket.main import (
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sio,
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get_event_call,
get_event_emitter,
)
from open_webui.functions import generate_function_chat_completion
from open_webui.routers.openai import (
generate_chat_completion as generate_openai_chat_completion,
)
from open_webui.routers.ollama import (
generate_chat_completion as generate_ollama_chat_completion,
)
from open_webui.routers.pipelines import (
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process_pipeline_inlet_filter,
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process_pipeline_outlet_filter,
)
from open_webui.models.functions import Functions
from open_webui.models.models import Models
from open_webui.utils.plugin import load_function_module_by_id
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from open_webui.utils.models import get_all_models, check_model_access
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from open_webui.utils.payload import convert_payload_openai_to_ollama
from open_webui.utils.response import (
convert_response_ollama_to_openai,
convert_streaming_response_ollama_to_openai,
)
from open_webui.utils.filter import (
get_sorted_filter_ids,
process_filter_functions,
)
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from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL, BYPASS_MODEL_ACCESS_CONTROL
logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["MAIN"])
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async def generate_direct_chat_completion(
request: Request,
form_data: dict,
user: Any,
models: dict,
):
print("generate_direct_chat_completion")
metadata = form_data.pop("metadata", {})
user_id = metadata.get("user_id")
session_id = metadata.get("session_id")
request_id = str(uuid.uuid4()) # Generate a unique request ID
event_caller = get_event_call(metadata)
channel = f"{user_id}:{session_id}:{request_id}"
if form_data.get("stream"):
q = asyncio.Queue()
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async def message_listener(sid, data):
"""
Handle received socket messages and push them into the queue.
"""
await q.put(data)
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# Register the listener
sio.on(channel, message_listener)
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# Start processing chat completion in background
res = await event_caller(
{
"type": "request:chat:completion",
"data": {
"form_data": form_data,
"model": models[form_data["model"]],
"channel": channel,
"session_id": session_id,
},
}
)
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print("res", res)
if res.get("status", False):
# Define a generator to stream responses
async def event_generator():
nonlocal q
try:
while True:
data = await q.get() # Wait for new messages
if isinstance(data, dict):
if "done" in data and data["done"]:
break # Stop streaming when 'done' is received
yield f"data: {json.dumps(data)}\n\n"
elif isinstance(data, str):
yield data
except Exception as e:
log.debug(f"Error in event generator: {e}")
pass
# Define a background task to run the event generator
async def background():
try:
del sio.handlers["/"][channel]
except Exception as e:
pass
# Return the streaming response
return StreamingResponse(
event_generator(), media_type="text/event-stream", background=background
)
else:
raise Exception(str(res))
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else:
res = await event_caller(
{
"type": "request:chat:completion",
"data": {
"form_data": form_data,
"model": models[form_data["model"]],
"channel": channel,
"session_id": session_id,
},
}
)
if "error" in res:
raise Exception(res["error"])
return res
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async def generate_chat_completion(
request: Request,
form_data: dict,
user: Any,
bypass_filter: bool = False,
):
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log.debug(f"generate_chat_completion: {form_data}")
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if BYPASS_MODEL_ACCESS_CONTROL:
bypass_filter = True
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if hasattr(request.state, "metadata"):
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if "metadata" not in form_data:
form_data["metadata"] = request.state.metadata
else:
form_data["metadata"] = {
**form_data["metadata"],
**request.state.metadata,
}
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if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
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models = {
request.state.model["id"]: request.state.model,
}
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log.debug(f"direct connection to model: {models}")
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else:
models = request.app.state.MODELS
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model_id = form_data["model"]
if model_id not in models:
raise Exception("Model not found")
model = models[model_id]
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if getattr(request.state, "direct", False):
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return await generate_direct_chat_completion(
request, form_data, user=user, models=models
)
else:
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# Check if user has access to the model
if not bypass_filter and user.role == "user":
try:
check_model_access(user, model)
except Exception as e:
raise e
if model.get("owned_by") == "arena":
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model_ids = model.get("info", {}).get("meta", {}).get("model_ids")
filter_mode = model.get("info", {}).get("meta", {}).get("filter_mode")
if model_ids and filter_mode == "exclude":
model_ids = [
model["id"]
for model in list(request.app.state.MODELS.values())
if model.get("owned_by") != "arena" and model["id"] not in model_ids
]
selected_model_id = None
if isinstance(model_ids, list) and model_ids:
selected_model_id = random.choice(model_ids)
else:
model_ids = [
model["id"]
for model in list(request.app.state.MODELS.values())
if model.get("owned_by") != "arena"
]
selected_model_id = random.choice(model_ids)
form_data["model"] = selected_model_id
if form_data.get("stream") == True:
async def stream_wrapper(stream):
yield f"data: {json.dumps({'selected_model_id': selected_model_id})}\n\n"
async for chunk in stream:
yield chunk
response = await generate_chat_completion(
request, form_data, user, bypass_filter=True
)
return StreamingResponse(
stream_wrapper(response.body_iterator),
media_type="text/event-stream",
background=response.background,
)
else:
return {
**(
await generate_chat_completion(
request, form_data, user, bypass_filter=True
)
),
"selected_model_id": selected_model_id,
}
if model.get("pipe"):
# Below does not require bypass_filter because this is the only route the uses this function and it is already bypassing the filter
return await generate_function_chat_completion(
request, form_data, user=user, models=models
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)
if model.get("owned_by") == "ollama":
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# Using /ollama/api/chat endpoint
form_data = convert_payload_openai_to_ollama(form_data)
response = await generate_ollama_chat_completion(
request=request,
form_data=form_data,
user=user,
bypass_filter=bypass_filter,
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)
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if form_data.get("stream"):
response.headers["content-type"] = "text/event-stream"
return StreamingResponse(
convert_streaming_response_ollama_to_openai(response),
headers=dict(response.headers),
background=response.background,
)
else:
return convert_response_ollama_to_openai(response)
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else:
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return await generate_openai_chat_completion(
request=request,
form_data=form_data,
user=user,
bypass_filter=bypass_filter,
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)
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chat_completion = generate_chat_completion
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async def chat_completed(request: Request, form_data: dict, user: Any):
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if not request.app.state.MODELS:
await get_all_models(request)
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if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
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models = {
request.state.model["id"]: request.state.model,
}
else:
models = request.app.state.MODELS
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data = form_data
model_id = data["model"]
if model_id not in models:
raise Exception("Model not found")
model = models[model_id]
try:
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data = await process_pipeline_outlet_filter(request, data, user, models)
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except Exception as e:
return Exception(f"Error: {e}")
metadata = {
"chat_id": data["chat_id"],
"message_id": data["id"],
"session_id": data["session_id"],
"user_id": user.id,
}
extra_params = {
"__event_emitter__": get_event_emitter(metadata),
"__event_call__": get_event_call(metadata),
"__user__": {
"id": user.id,
"email": user.email,
"name": user.name,
"role": user.role,
},
"__metadata__": metadata,
"__request__": request,
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"__model__": model,
}
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try:
result, _ = await process_filter_functions(
request=request,
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filter_ids=get_sorted_filter_ids(model),
filter_type="outlet",
form_data=data,
extra_params=extra_params,
)
return result
except Exception as e:
return Exception(f"Error: {e}")
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async def chat_action(request: Request, action_id: str, form_data: dict, user: Any):
if "." in action_id:
action_id, sub_action_id = action_id.split(".")
else:
sub_action_id = None
action = Functions.get_function_by_id(action_id)
if not action:
raise Exception(f"Action not found: {action_id}")
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if not request.app.state.MODELS:
await get_all_models(request)
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if getattr(request.state, "direct", False) and hasattr(request.state, "model"):
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models = {
request.state.model["id"]: request.state.model,
}
else:
models = request.app.state.MODELS
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data = form_data
model_id = data["model"]
if model_id not in models:
raise Exception("Model not found")
model = models[model_id]
__event_emitter__ = get_event_emitter(
{
"chat_id": data["chat_id"],
"message_id": data["id"],
"session_id": data["session_id"],
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"user_id": user.id,
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}
)
__event_call__ = get_event_call(
{
"chat_id": data["chat_id"],
"message_id": data["id"],
"session_id": data["session_id"],
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"user_id": user.id,
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}
)
if action_id in request.app.state.FUNCTIONS:
function_module = request.app.state.FUNCTIONS[action_id]
else:
function_module, _, _ = load_function_module_by_id(action_id)
request.app.state.FUNCTIONS[action_id] = function_module
if hasattr(function_module, "valves") and hasattr(function_module, "Valves"):
valves = Functions.get_function_valves_by_id(action_id)
function_module.valves = function_module.Valves(**(valves if valves else {}))
if hasattr(function_module, "action"):
try:
action = function_module.action
# Get the signature of the function
sig = inspect.signature(action)
params = {"body": data}
# Extra parameters to be passed to the function
extra_params = {
"__model__": model,
"__id__": sub_action_id if sub_action_id is not None else action_id,
"__event_emitter__": __event_emitter__,
"__event_call__": __event_call__,
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"__request__": request,
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}
# Add extra params in contained in function signature
for key, value in extra_params.items():
if key in sig.parameters:
params[key] = value
if "__user__" in sig.parameters:
__user__ = {
"id": user.id,
"email": user.email,
"name": user.name,
"role": user.role,
}
try:
if hasattr(function_module, "UserValves"):
__user__["valves"] = function_module.UserValves(
**Functions.get_user_valves_by_id_and_user_id(
action_id, user.id
)
)
except Exception as e:
print(e)
params = {**params, "__user__": __user__}
if inspect.iscoroutinefunction(action):
data = await action(**params)
else:
data = action(**params)
except Exception as e:
return Exception(f"Error: {e}")
return data