tdpeuter/open-webui
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Timothy Jaeryang Baek 2024-01-04 22:57:11 -05:00 committed by GitHub
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13 changed files with 724 additions and 431 deletions
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4
Dockerfile
View file

@ -16,6 +16,10 @@ ARG OLLAMA_API_BASE_URL='/ollama/api'
ENV ENV=prod
ENV OLLAMA_API_BASE_URL $OLLAMA_API_BASE_URL
ENV OPENAI_API_BASE_URL ""
ENV OPENAI_API_KEY ""
ENV WEBUI_JWT_SECRET_KEY "SECRET_KEY"
WORKDIR /app

135
backend/apps/openai/main.py Normal file
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@ -0,0 +1,135 @@
from fastapi import FastAPI, Request, Response, HTTPException, Depends
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse, JSONResponse
import requests
import json
from pydantic import BaseModel
from apps.web.models.users import Users
from constants import ERROR_MESSAGES
from utils.utils import decode_token, get_current_user
from config import OPENAI_API_BASE_URL, OPENAI_API_KEY
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.state.OPENAI_API_BASE_URL = OPENAI_API_BASE_URL
app.state.OPENAI_API_KEY = OPENAI_API_KEY
class UrlUpdateForm(BaseModel):
url: str
class KeyUpdateForm(BaseModel):
key: str
@app.get("/url")
async def get_openai_url(user=Depends(get_current_user)):
if user and user.role == "admin":
return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
else:
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
@app.post("/url/update")
async def update_openai_url(form_data: UrlUpdateForm, user=Depends(get_current_user)):
if user and user.role == "admin":
app.state.OPENAI_API_BASE_URL = form_data.url
return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
else:
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
@app.get("/key")
async def get_openai_key(user=Depends(get_current_user)):
if user and user.role == "admin":
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
else:
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
@app.post("/key/update")
async def update_openai_key(form_data: KeyUpdateForm, user=Depends(get_current_user)):
if user and user.role == "admin":
app.state.OPENAI_API_KEY = form_data.key
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
else:
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
async def proxy(path: str, request: Request, user=Depends(get_current_user)):
target_url = f"{app.state.OPENAI_API_BASE_URL}/{path}"
print(target_url, app.state.OPENAI_API_KEY)
if user.role not in ["user", "admin"]:
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.ACCESS_PROHIBITED)
if app.state.OPENAI_API_KEY == "":
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
body = await request.body()
# headers = dict(request.headers)
# print(headers)
headers = {}
headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
headers["Content-Type"] = "application/json"
try:
r = requests.request(
method=request.method,
url=target_url,
data=body,
headers=headers,
stream=True,
)
r.raise_for_status()
# Check if response is SSE
if "text/event-stream" in r.headers.get("Content-Type", ""):
return StreamingResponse(
r.iter_content(chunk_size=8192),
status_code=r.status_code,
headers=dict(r.headers),
)
else:
# For non-SSE, read the response and return it
# response_data = (
# r.json()
# if r.headers.get("Content-Type", "")
# == "application/json"
# else r.text
# )
response_data = r.json()
print(type(response_data))
if "openai" in app.state.OPENAI_API_BASE_URL and path == "models":
response_data["data"] = list(
filter(lambda model: "gpt" in model["id"], response_data["data"])
)
return response_data
except Exception as e:
print(e)
error_detail = "Ollama WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"External: {res['error']}"
except:
error_detail = f"External: {e}"
raise HTTPException(status_code=r.status_code, detail=error_detail)

13
backend/config.py
View file

@ -26,11 +26,22 @@ if ENV == "prod":
if OLLAMA_API_BASE_URL == "/ollama/api":
OLLAMA_API_BASE_URL = "http://host.docker.internal:11434/api"
####################################
# OPENAI_API
####################################
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "")
if OPENAI_API_BASE_URL == "":
OPENAI_API_BASE_URL = "https://api.openai.com/v1"
####################################
# WEBUI_VERSION
####################################
WEBUI_VERSION = os.environ.get("WEBUI_VERSION", "v1.0.0-alpha.42")
WEBUI_VERSION = os.environ.get("WEBUI_VERSION", "v1.0.0-alpha.50")
####################################
# WEBUI_AUTH (Required for security)

1
backend/constants.py
View file

@ -33,4 +33,5 @@ class ERROR_MESSAGES(str, Enum):
"The requested action has been restricted as a security measure.")
NOT_FOUND = "We could not find what you're looking for :/"
USER_NOT_FOUND = "We could not find what you're looking for :/"
API_KEY_NOT_FOUND = "Oops! It looks like there's a hiccup. The API key is missing. Please make sure to provide a valid API key to access this feature."
MALICIOUS = "Unusual activities detected, please try again in a few minutes."

4
backend/main.py
View file

@ -6,6 +6,8 @@ from fastapi.middleware.cors import CORSMiddleware
from starlette.exceptions import HTTPException as StarletteHTTPException
from apps.ollama.main import app as ollama_app
from apps.openai.main import app as openai_app
from apps.web.main import app as webui_app
import time
@ -47,8 +49,8 @@ async def check_url(request: Request, call_next):
app.mount("/api/v1", webui_app)
# app.mount("/ollama/api", WSGIMiddleware(ollama_app))
app.mount("/ollama/api", ollama_app)
app.mount("/openai/api", openai_app)
app.mount("/",
SPAStaticFiles(directory="../build", html=True),

12
example.env
View file

@ -1,12 +1,6 @@
# If you're serving both the frontend and backend (Recommended)
# Set the public API base URL for seamless communication
PUBLIC_API_BASE_URL='/ollama/api'
# If you're serving only the frontend (Not recommended and not fully supported)
# Comment above and Uncomment below
# You can use the default value or specify a custom path, e.g., '/api'
# PUBLIC_API_BASE_URL='http://{location.hostname}:11434/api'
# Ollama URL for the backend to connect
# The path '/ollama/api' will be redirected to the specified backend URL
OLLAMA_API_BASE_URL='http://localhost:11434/api'
OPENAI_API_BASE_URL=''
OPENAI_API_KEY=''

197
src/lib/apis/openai/index.ts
View file

@ -1,4 +1,176 @@
export const getOpenAIModels = async (
import { OPENAI_API_BASE_URL } from '$lib/constants';
export const getOpenAIUrl = async (token: string = '') => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/url`, {
method: 'GET',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
...(token && { authorization: `Bearer ${token}` })
}
})
.then(async (res) => {
if (!res.ok) throw await res.json();
return res.json();
})
.catch((err) => {
console.log(err);
if ('detail' in err) {
error = err.detail;
} else {
error = 'Server connection failed';
}
return null;
});
if (error) {
throw error;
}
return res.OPENAI_API_BASE_URL;
};
export const updateOpenAIUrl = async (token: string = '', url: string) => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/url/update`, {
method: 'POST',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
...(token && { authorization: `Bearer ${token}` })
},
body: JSON.stringify({
url: url
})
})
.then(async (res) => {
if (!res.ok) throw await res.json();
return res.json();
})
.catch((err) => {
console.log(err);
if ('detail' in err) {
error = err.detail;
} else {
error = 'Server connection failed';
}
return null;
});
if (error) {
throw error;
}
return res.OPENAI_API_BASE_URL;
};
export const getOpenAIKey = async (token: string = '') => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/key`, {
method: 'GET',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
...(token && { authorization: `Bearer ${token}` })
}
})
.then(async (res) => {
if (!res.ok) throw await res.json();
return res.json();
})
.catch((err) => {
console.log(err);
if ('detail' in err) {
error = err.detail;
} else {
error = 'Server connection failed';
}
return null;
});
if (error) {
throw error;
}
return res.OPENAI_API_KEY;
};
export const updateOpenAIKey = async (token: string = '', key: string) => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/key/update`, {
method: 'POST',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
...(token && { authorization: `Bearer ${token}` })
},
body: JSON.stringify({
key: key
})
})
.then(async (res) => {
if (!res.ok) throw await res.json();
return res.json();
})
.catch((err) => {
console.log(err);
if ('detail' in err) {
error = err.detail;
} else {
error = 'Server connection failed';
}
return null;
});
if (error) {
throw error;
}
return res.OPENAI_API_KEY;
};
export const getOpenAIModels = async (token: string = '') => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/models`, {
method: 'GET',
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
...(token && { authorization: `Bearer ${token}` })
}
})
.then(async (res) => {
if (!res.ok) throw await res.json();
return res.json();
})
.catch((err) => {
console.log(err);
error = `OpenAI: ${err?.error?.message ?? 'Network Problem'}`;
return [];
});
if (error) {
throw error;
}
const models = Array.isArray(res) ? res : res?.data ?? null;
return models
? models
.map((model) => ({ name: model.id, external: true }))
.sort((a, b) => {
return a.name.localeCompare(b.name);
})
: models;
};
export const getOpenAIModelsDirect = async (
base_url: string = 'https://api.openai.com/v1',
api_key: string = ''
) => {
@ -34,3 +206,26 @@ export const getOpenAIModels = async (
return a.name.localeCompare(b.name);
});
};
export const generateOpenAIChatCompletion = async (token: string = '', body: object) => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/chat/completions`, {
method: 'POST',
headers: {
Authorization: `Bearer ${token}`,
'Content-Type': 'application/json'
},
body: JSON.stringify(body)
}).catch((err) => {
console.log(err);
error = err;
return null;
});
if (error) {
throw error;
}
return res;
};

2
src/lib/components/chat/Messages/Placeholder.svelte
View file

@ -27,7 +27,7 @@
>
{#if model in modelfiles}
<img
src={modelfiles[model]?.imageUrl}
src={modelfiles[model]?.imageUrl ?? '/ollama-dark.png'}
alt="modelfile"
class=" w-20 mb-2 rounded-full {models.length > 1
? ' border-[5px] border-white dark:border-gray-800'

121
src/lib/components/chat/SettingsModal.svelte
View file

@ -24,6 +24,13 @@
import { updateUserPassword } from '$lib/apis/auths';
import { goto } from '$app/navigation';
import Page from '../../../routes/(app)/+page.svelte';
import {
getOpenAIKey,
getOpenAIModels,
getOpenAIUrl,
updateOpenAIKey,
updateOpenAIUrl
} from '$lib/apis/openai';
export let show = false;
@ -153,6 +160,13 @@
}
};
const updateOpenAIHandler = async () => {
OPENAI_API_BASE_URL = await updateOpenAIUrl(localStorage.token, OPENAI_API_BASE_URL);
OPENAI_API_KEY = await updateOpenAIKey(localStorage.token, OPENAI_API_KEY);
await models.set(await getModels());
};
const toggleTheme = async () => {
if (theme === 'dark') {
theme = 'light';
@ -484,7 +498,7 @@
};
const getModels = async (type = 'all') => {
let models = [];
const models = [];
models.push(
...(await getOllamaModels(localStorage.token).catch((error) => {
toast.error(error);
@ -493,43 +507,13 @@
);
// If OpenAI API Key exists
if (type === 'all' && $settings.OPENAI_API_KEY) {
const OPENAI_API_BASE_URL = $settings.OPENAI_API_BASE_URL ?? 'https://api.openai.com/v1';
if (type === 'all' && OPENAI_API_KEY) {
const openAIModels = await getOpenAIModels(localStorage.token).catch((error) => {
console.log(error);
return null;
});
// Validate OPENAI_API_KEY
const openaiModelRes = await fetch(`${OPENAI_API_BASE_URL}/models`, {
method: 'GET',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${$settings.OPENAI_API_KEY}`
}
})
.then(async (res) => {
if (!res.ok) throw await res.json();
return res.json();
})
.catch((error) => {
console.log(error);
toast.error(`OpenAI: ${error?.error?.message ?? 'Network Problem'}`);
return null;
});
const openAIModels = Array.isArray(openaiModelRes)
? openaiModelRes
: openaiModelRes?.data ?? null;
models.push(
...(openAIModels
? [
{ name: 'hr' },
...openAIModels
.map((model) => ({ name: model.id, external: true }))
.filter((model) =>
OPENAI_API_BASE_URL.includes('openai') ? model.name.includes('gpt') : true
)
]
: [])
);
models.push(...(openAIModels ? [{ name: 'hr' }, ...openAIModels] : []));
}
return models;
@ -564,6 +548,8 @@
console.log('settings', $user.role === 'admin');
if ($user.role === 'admin') {
API_BASE_URL = await getOllamaAPIUrl(localStorage.token);
OPENAI_API_BASE_URL = await getOpenAIUrl(localStorage.token);
OPENAI_API_KEY = await getOpenAIKey(localStorage.token);
}
let settings = JSON.parse(localStorage.getItem('settings') ?? '{}');
@ -584,9 +570,6 @@
options = { ...options, ...settings.options };
options.stop = (settings?.options?.stop ?? []).join(',');
OPENAI_API_KEY = settings.OPENAI_API_KEY ?? '';
OPENAI_API_BASE_URL = settings.OPENAI_API_BASE_URL ?? 'https://api.openai.com/v1';
titleAutoGenerate = settings.titleAutoGenerate ?? true;
speechAutoSend = settings.speechAutoSend ?? false;
responseAutoCopy = settings.responseAutoCopy ?? false;
@ -709,31 +692,31 @@
</div>
<div class=" self-center">Models</div>
</button>
{/if}
<button
class="px-2.5 py-2.5 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
'external'
? 'bg-gray-200 dark:bg-gray-700'
: ' hover:bg-gray-300 dark:hover:bg-gray-800'}"
on:click={() => {
selectedTab = 'external';
}}
>
<div class=" self-center mr-2">
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 16 16"
fill="currentColor"
class="w-4 h-4"
>
<path
d="M1 9.5A3.5 3.5 0 0 0 4.5 13H12a3 3 0 0 0 .917-5.857 2.503 2.503 0 0 0-3.198-3.019 3.5 3.5 0 0 0-6.628 2.171A3.5 3.5 0 0 0 1 9.5Z"
/>
</svg>
</div>
<div class=" self-center">External</div>
</button>
<button
class="px-2.5 py-2.5 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
'external'
? 'bg-gray-200 dark:bg-gray-700'
: ' hover:bg-gray-300 dark:hover:bg-gray-800'}"
on:click={() => {
selectedTab = 'external';
}}
>
<div class=" self-center mr-2">
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 16 16"
fill="currentColor"
class="w-4 h-4"
>
<path
d="M1 9.5A3.5 3.5 0 0 0 4.5 13H12a3 3 0 0 0 .917-5.857 2.503 2.503 0 0 0-3.198-3.019 3.5 3.5 0 0 0-6.628 2.171A3.5 3.5 0 0 0 1 9.5Z"
/>
</svg>
</div>
<div class=" self-center">External</div>
</button>
{/if}
<button
class="px-2.5 py-2.5 min-w-fit rounded-lg flex-1 md:flex-none flex text-right transition {selectedTab ===
@ -1415,10 +1398,12 @@
<form
class="flex flex-col h-full justify-between space-y-3 text-sm"
on:submit|preventDefault={() => {
saveSettings({
OPENAI_API_KEY: OPENAI_API_KEY !== '' ? OPENAI_API_KEY : undefined,
OPENAI_API_BASE_URL: OPENAI_API_BASE_URL !== '' ? OPENAI_API_BASE_URL : undefined
});
updateOpenAIHandler();
// saveSettings({
// OPENAI_API_KEY: OPENAI_API_KEY !== '' ? OPENAI_API_KEY : undefined,
// OPENAI_API_BASE_URL: OPENAI_API_BASE_URL !== '' ? OPENAI_API_BASE_URL : undefined
// });
show = false;
}}
>

7
src/lib/constants.ts
View file

@ -1,11 +1,10 @@
import { dev } from '$app/environment';
export const OLLAMA_API_BASE_URL = dev
? `http://${location.hostname}:8080/ollama/api`
: '/ollama/api';
export const WEBUI_BASE_URL = dev ? `http://${location.hostname}:8080` : ``;
export const WEBUI_API_BASE_URL = `${WEBUI_BASE_URL}/api/v1`;
export const OLLAMA_API_BASE_URL = `${WEBUI_BASE_URL}/ollama/api`;
export const OPENAI_API_BASE_URL = `${WEBUI_BASE_URL}/openai/api`;
export const WEB_UI_VERSION = 'v1.0.0-alpha-static';

22
src/routes/(app)/+layout.svelte
View file

@ -37,19 +37,17 @@
return [];
}))
);
// If OpenAI API Key exists
if ($settings.OPENAI_API_KEY) {
const openAIModels = await getOpenAIModels(
$settings.OPENAI_API_BASE_URL ?? 'https://api.openai.com/v1',
$settings.OPENAI_API_KEY
).catch((error) => {
console.log(error);
toast.error(error);
return null;
});
models.push(...(openAIModels ? [{ name: 'hr' }, ...openAIModels] : []));
}
// $settings.OPENAI_API_BASE_URL ?? 'https://api.openai.com/v1',
// $settings.OPENAI_API_KEY
const openAIModels = await getOpenAIModels(localStorage.token).catch((error) => {
console.log(error);
return null;
});
models.push(...(openAIModels ? [{ name: 'hr' }, ...openAIModels] : []));
return models;
};

318
src/routes/(app)/+page.svelte
View file

@ -16,6 +16,7 @@
import ModelSelector from '$lib/components/chat/ModelSelector.svelte';
import Navbar from '$lib/components/layout/Navbar.svelte';
import { createNewChat, getChatList, updateChatById } from '$lib/apis/chats';
import { generateOpenAIChatCompletion } from '$lib/apis/openai';
let stopResponseFlag = false;
let autoScroll = true;
@ -321,188 +322,171 @@
};
const sendPromptOpenAI = async (model, userPrompt, parentId, _chatId) => {
if ($settings.OPENAI_API_KEY) {
if (models) {
let responseMessageId = uuidv4();
let responseMessageId = uuidv4();
let responseMessage = {
parentId: parentId,
id: responseMessageId,
childrenIds: [],
role: 'assistant',
content: '',
model: model
};
let responseMessage = {
parentId: parentId,
id: responseMessageId,
childrenIds: [],
role: 'assistant',
content: '',
model: model
};
history.messages[responseMessageId] = responseMessage;
history.currentId = responseMessageId;
if (parentId !== null) {
history.messages[parentId].childrenIds = [
...history.messages[parentId].childrenIds,
responseMessageId
];
}
history.messages[responseMessageId] = responseMessage;
history.currentId = responseMessageId;
if (parentId !== null) {
history.messages[parentId].childrenIds = [
...history.messages[parentId].childrenIds,
responseMessageId
];
}
window.scrollTo({ top: document.body.scrollHeight });
window.scrollTo({ top: document.body.scrollHeight });
const res = await fetch(
`${$settings.OPENAI_API_BASE_URL ?? 'https://api.openai.com/v1'}/chat/completions`,
{
method: 'POST',
headers: {
Authorization: `Bearer ${$settings.OPENAI_API_KEY}`,
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: model,
stream: true,
messages: [
$settings.system
? {
role: 'system',
content: $settings.system
}
: undefined,
...messages
]
.filter((message) => message)
.map((message) => ({
role: message.role,
...(message.files
? {
content: [
{
type: 'text',
text: message.content
},
...message.files
.filter((file) => file.type === 'image')
.map((file) => ({
type: 'image_url',
image_url: {
url: file.url
}
}))
]
}
: { content: message.content })
})),
seed: $settings?.options?.seed ?? undefined,
stop: $settings?.options?.stop ?? undefined,
temperature: $settings?.options?.temperature ?? undefined,
top_p: $settings?.options?.top_p ?? undefined,
num_ctx: $settings?.options?.num_ctx ?? undefined,
frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
max_tokens: $settings?.options?.num_predict ?? undefined
})
}
).catch((err) => {
console.log(err);
return null;
});
const res = await generateOpenAIChatCompletion(localStorage.token, {
model: model,
stream: true,
messages: [
$settings.system
? {
role: 'system',
content: $settings.system
}
: undefined,
...messages
]
.filter((message) => message)
.map((message) => ({
role: message.role,
...(message.files
? {
content: [
{
type: 'text',
text: message.content
},
...message.files
.filter((file) => file.type === 'image')
.map((file) => ({
type: 'image_url',
image_url: {
url: file.url
}
}))
]
}
: { content: message.content })
})),
seed: $settings?.options?.seed ?? undefined,
stop: $settings?.options?.stop ?? undefined,
temperature: $settings?.options?.temperature ?? undefined,
top_p: $settings?.options?.top_p ?? undefined,
num_ctx: $settings?.options?.num_ctx ?? undefined,
frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
max_tokens: $settings?.options?.num_predict ?? undefined
});
if (res && res.ok) {
const reader = res.body
.pipeThrough(new TextDecoderStream())
.pipeThrough(splitStream('\n'))
.getReader();
if (res && res.ok) {
const reader = res.body
.pipeThrough(new TextDecoderStream())
.pipeThrough(splitStream('\n'))
.getReader();
while (true) {
const { value, done } = await reader.read();
if (done || stopResponseFlag || _chatId !== $chatId) {
responseMessage.done = true;
messages = messages;
break;
}
try {
let lines = value.split('\n');
for (const line of lines) {
if (line !== '') {
console.log(line);
if (line === 'data: [DONE]') {
responseMessage.done = true;
messages = messages;
} else {
let data = JSON.parse(line.replace(/^data: /, ''));
console.log(data);
if (responseMessage.content == '' && data.choices[0].delta.content == '\n') {
continue;
} else {
responseMessage.content += data.choices[0].delta.content ?? '';
messages = messages;
}
}
}
}
} catch (error) {
console.log(error);
}
if ($settings.notificationEnabled && !document.hasFocus()) {
const notification = new Notification(`OpenAI ${model}`, {
body: responseMessage.content,
icon: '/favicon.png'
});
}
if ($settings.responseAutoCopy) {
copyToClipboard(responseMessage.content);
}
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
}
if ($chatId == _chatId) {
chat = await updateChatById(localStorage.token, _chatId, {
messages: messages,
history: history
});
await chats.set(await getChatList(localStorage.token));
}
} else {
if (res !== null) {
const error = await res.json();
console.log(error);
if ('detail' in error) {
toast.error(error.detail);
responseMessage.content = error.detail;
} else {
if ('message' in error.error) {
toast.error(error.error.message);
responseMessage.content = error.error.message;
} else {
toast.error(error.error);
responseMessage.content = error.error;
}
}
} else {
toast.error(`Uh-oh! There was an issue connecting to ${model}.`);
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
}
responseMessage.error = true;
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
while (true) {
const { value, done } = await reader.read();
if (done || stopResponseFlag || _chatId !== $chatId) {
responseMessage.done = true;
messages = messages;
break;
}
stopResponseFlag = false;
await tick();
try {
let lines = value.split('\n');
for (const line of lines) {
if (line !== '') {
console.log(line);
if (line === 'data: [DONE]') {
responseMessage.done = true;
messages = messages;
} else {
let data = JSON.parse(line.replace(/^data: /, ''));
console.log(data);
if (responseMessage.content == '' && data.choices[0].delta.content == '\n') {
continue;
} else {
responseMessage.content += data.choices[0].delta.content ?? '';
messages = messages;
}
}
}
}
} catch (error) {
console.log(error);
}
if ($settings.notificationEnabled && !document.hasFocus()) {
const notification = new Notification(`OpenAI ${model}`, {
body: responseMessage.content,
icon: '/favicon.png'
});
}
if ($settings.responseAutoCopy) {
copyToClipboard(responseMessage.content);
}
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
if (messages.length == 2) {
window.history.replaceState(history.state, '', `/c/${_chatId}`);
await setChatTitle(_chatId, userPrompt);
}
}
if ($chatId == _chatId) {
chat = await updateChatById(localStorage.token, _chatId, {
messages: messages,
history: history
});
await chats.set(await getChatList(localStorage.token));
}
} else {
if (res !== null) {
const error = await res.json();
console.log(error);
if ('detail' in error) {
toast.error(error.detail);
responseMessage.content = error.detail;
} else {
if ('message' in error.error) {
toast.error(error.error.message);
responseMessage.content = error.error.message;
} else {
toast.error(error.error);
responseMessage.content = error.error;
}
}
} else {
toast.error(`Uh-oh! There was an issue connecting to ${model}.`);
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
}
responseMessage.error = true;
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
responseMessage.done = true;
messages = messages;
}
stopResponseFlag = false;
await tick();
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
if (messages.length == 2) {
window.history.replaceState(history.state, '', `/c/${_chatId}`);
await setChatTitle(_chatId, userPrompt);
}
};

319
src/routes/(app)/c/[id]/+page.svelte
View file

@ -9,6 +9,8 @@
import { models, modelfiles, user, settings, chats, chatId } from '$lib/stores';
import { generateChatCompletion, generateTitle } from '$lib/apis/ollama';
import { generateOpenAIChatCompletion } from '$lib/apis/openai';
import { copyToClipboard, splitStream } from '$lib/utils';
import MessageInput from '$lib/components/chat/MessageInput.svelte';
@ -338,188 +340,171 @@
};
const sendPromptOpenAI = async (model, userPrompt, parentId, _chatId) => {
if ($settings.OPENAI_API_KEY) {
if (models) {
let responseMessageId = uuidv4();
let responseMessageId = uuidv4();
let responseMessage = {
parentId: parentId,
id: responseMessageId,
childrenIds: [],
role: 'assistant',
content: '',
model: model
};
let responseMessage = {
parentId: parentId,
id: responseMessageId,
childrenIds: [],
role: 'assistant',
content: '',
model: model
};
history.messages[responseMessageId] = responseMessage;
history.currentId = responseMessageId;
if (parentId !== null) {
history.messages[parentId].childrenIds = [
...history.messages[parentId].childrenIds,
responseMessageId
];
}
history.messages[responseMessageId] = responseMessage;
history.currentId = responseMessageId;
if (parentId !== null) {
history.messages[parentId].childrenIds = [
...history.messages[parentId].childrenIds,
responseMessageId
];
}
window.scrollTo({ top: document.body.scrollHeight });
window.scrollTo({ top: document.body.scrollHeight });
const res = await fetch(
`${$settings.OPENAI_API_BASE_URL ?? 'https://api.openai.com/v1'}/chat/completions`,
{
method: 'POST',
headers: {
Authorization: `Bearer ${$settings.OPENAI_API_KEY}`,
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: model,
stream: true,
messages: [
$settings.system
? {
role: 'system',
content: $settings.system
}
: undefined,
...messages
]
.filter((message) => message)
.map((message) => ({
role: message.role,
...(message.files
? {
content: [
{
type: 'text',
text: message.content
},
...message.files
.filter((file) => file.type === 'image')
.map((file) => ({
type: 'image_url',
image_url: {
url: file.url
}
}))
]
}
: { content: message.content })
})),
seed: $settings?.options?.seed ?? undefined,
stop: $settings?.options?.stop ?? undefined,
temperature: $settings?.options?.temperature ?? undefined,
top_p: $settings?.options?.top_p ?? undefined,
num_ctx: $settings?.options?.num_ctx ?? undefined,
frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
max_tokens: $settings?.options?.num_predict ?? undefined
})
}
).catch((err) => {
console.log(err);
return null;
});
const res = await generateOpenAIChatCompletion(localStorage.token, {
model: model,
stream: true,
messages: [
$settings.system
? {
role: 'system',
content: $settings.system
}
: undefined,
...messages
]
.filter((message) => message)
.map((message) => ({
role: message.role,
...(message.files
? {
content: [
{
type: 'text',
text: message.content
},
...message.files
.filter((file) => file.type === 'image')
.map((file) => ({
type: 'image_url',
image_url: {
url: file.url
}
}))
]
}
: { content: message.content })
})),
seed: $settings?.options?.seed ?? undefined,
stop: $settings?.options?.stop ?? undefined,
temperature: $settings?.options?.temperature ?? undefined,
top_p: $settings?.options?.top_p ?? undefined,
num_ctx: $settings?.options?.num_ctx ?? undefined,
frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
max_tokens: $settings?.options?.num_predict ?? undefined
});
if (res && res.ok) {
const reader = res.body
.pipeThrough(new TextDecoderStream())
.pipeThrough(splitStream('\n'))
.getReader();
if (res && res.ok) {
const reader = res.body
.pipeThrough(new TextDecoderStream())
.pipeThrough(splitStream('\n'))
.getReader();
while (true) {
const { value, done } = await reader.read();
if (done || stopResponseFlag || _chatId !== $chatId) {
responseMessage.done = true;
messages = messages;
break;
}
try {
let lines = value.split('\n');
for (const line of lines) {
if (line !== '') {
console.log(line);
if (line === 'data: [DONE]') {
responseMessage.done = true;
messages = messages;
} else {
let data = JSON.parse(line.replace(/^data: /, ''));
console.log(data);
if (responseMessage.content == '' && data.choices[0].delta.content == '\n') {
continue;
} else {
responseMessage.content += data.choices[0].delta.content ?? '';
messages = messages;
}
}
}
}
} catch (error) {
console.log(error);
}
if ($settings.notificationEnabled && !document.hasFocus()) {
const notification = new Notification(`OpenAI ${model}`, {
body: responseMessage.content,
icon: '/favicon.png'
});
}
if ($settings.responseAutoCopy) {
copyToClipboard(responseMessage.content);
}
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
}
if ($chatId == _chatId) {
chat = await updateChatById(localStorage.token, _chatId, {
messages: messages,
history: history
});
await chats.set(await getChatList(localStorage.token));
}
} else {
if (res !== null) {
const error = await res.json();
console.log(error);
if ('detail' in error) {
toast.error(error.detail);
responseMessage.content = error.detail;
} else {
if ('message' in error.error) {
toast.error(error.error.message);
responseMessage.content = error.error.message;
} else {
toast.error(error.error);
responseMessage.content = error.error;
}
}
} else {
toast.error(`Uh-oh! There was an issue connecting to ${model}.`);
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
}
responseMessage.error = true;
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
while (true) {
const { value, done } = await reader.read();
if (done || stopResponseFlag || _chatId !== $chatId) {
responseMessage.done = true;
messages = messages;
break;
}
stopResponseFlag = false;
await tick();
try {
let lines = value.split('\n');
for (const line of lines) {
if (line !== '') {
console.log(line);
if (line === 'data: [DONE]') {
responseMessage.done = true;
messages = messages;
} else {
let data = JSON.parse(line.replace(/^data: /, ''));
console.log(data);
if (responseMessage.content == '' && data.choices[0].delta.content == '\n') {
continue;
} else {
responseMessage.content += data.choices[0].delta.content ?? '';
messages = messages;
}
}
}
}
} catch (error) {
console.log(error);
}
if ($settings.notificationEnabled && !document.hasFocus()) {
const notification = new Notification(`OpenAI ${model}`, {
body: responseMessage.content,
icon: '/favicon.png'
});
}
if ($settings.responseAutoCopy) {
copyToClipboard(responseMessage.content);
}
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
if (messages.length == 2) {
window.history.replaceState(history.state, '', `/c/${_chatId}`);
await setChatTitle(_chatId, userPrompt);
}
}
if ($chatId == _chatId) {
chat = await updateChatById(localStorage.token, _chatId, {
messages: messages,
history: history
});
await chats.set(await getChatList(localStorage.token));
}
} else {
if (res !== null) {
const error = await res.json();
console.log(error);
if ('detail' in error) {
toast.error(error.detail);
responseMessage.content = error.detail;
} else {
if ('message' in error.error) {
toast.error(error.error.message);
responseMessage.content = error.error.message;
} else {
toast.error(error.error);
responseMessage.content = error.error;
}
}
} else {
toast.error(`Uh-oh! There was an issue connecting to ${model}.`);
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
}
responseMessage.error = true;
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
responseMessage.done = true;
messages = messages;
}
stopResponseFlag = false;
await tick();
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
if (messages.length == 2) {
window.history.replaceState(history.state, '', `/c/${_chatId}`);
await setChatTitle(_chatId, userPrompt);
}
};