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Merge remote-tracking branch 'origin/master' into ollama-auth

This commit is contained in:
yeet 2024-10-11 10:26:16 +02:00
parent b048c4b173 0a7167eb04
commit dc9f4b123a
18 changed files with 504 additions and 146 deletions
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11
docs/API/SEARCH.md
View File

@ -26,6 +26,7 @@ The API accepts a JSON object in the request body, where you define the focus mo
"provider": "openai",
"model": "text-embedding-3-large"
},
"optimizationMode": "speed",
"focusMode": "webSearch",
"query": "What is Perplexica",
"history": [
@ -37,7 +38,7 @@ The API accepts a JSON object in the request body, where you define the focus mo
### Request Parameters
- **`chatModel`** (object, optional): Defines the chat model to be used for the query. For model details you can send a GET request at `http://localhost:3001/api/models`.
- **`chatModel`** (object, optional): Defines the chat model to be used for the query. For model details you can send a GET request at `http://localhost:3001/api/models`. Make sure to use the key value (For example "gpt-4o-mini" instead of the display name "GPT 4 omni mini").
- `provider`: Specifies the provider for the chat model (e.g., `openai`, `ollama`).
- `model`: The specific model from the chosen provider (e.g., `gpt-4o-mini`).
@ -45,7 +46,7 @@ The API accepts a JSON object in the request body, where you define the focus mo
- `customOpenAIBaseURL`: If you’re using a custom OpenAI instance, provide the base URL.
- `customOpenAIKey`: The API key for a custom OpenAI instance.
- **`embeddingModel`** (object, optional): Defines the embedding model for similarity-based searching. For model details you can send a GET request at `http://localhost:3001/api/models`.
- **`embeddingModel`** (object, optional): Defines the embedding model for similarity-based searching. For model details you can send a GET request at `http://localhost:3001/api/models`. Make sure to use the key value (For example "text-embedding-3-large" instead of the display name "Text Embedding 3 Large").
- `provider`: The provider for the embedding model (e.g., `openai`).
- `model`: The specific embedding model (e.g., `text-embedding-3-large`).
@ -54,9 +55,15 @@ The API accepts a JSON object in the request body, where you define the focus mo
- `webSearch`, `academicSearch`, `writingAssistant`, `wolframAlphaSearch`, `youtubeSearch`, `redditSearch`.
- **`optimizationMode`** (string, optional): Specifies the optimization mode to control the balance between performance and quality. Available modes:
- `speed`: Prioritize speed and return the fastest answer.
- `balanced`: Provide a balanced answer with good speed and reasonable quality.
- **`query`** (string, required): The search query or question.
- **`history`** (array, optional): An array of message pairs representing the conversation history. Each pair consists of a role (either 'human' or 'assistant') and the message content. This allows the system to use the context of the conversation to refine results. Example:
```json
[
["human", "What is Perplexica?"],

57
src/agents/academicSearchAgent.ts
View File

@ -118,7 +118,6 @@ const createBasicAcademicSearchRetrieverChain = (llm: BaseChatModel) => {
engines: [
'arxiv',
'google scholar',
'internetarchivescholar',
'pubmed',
],
});
@ -143,6 +142,7 @@ const createBasicAcademicSearchRetrieverChain = (llm: BaseChatModel) => {
const createBasicAcademicSearchAnsweringChain = (
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const basicAcademicSearchRetrieverChain =
createBasicAcademicSearchRetrieverChain(llm);
@ -168,26 +168,33 @@ const createBasicAcademicSearchAnsweringChain = (
(doc) => doc.pageContent && doc.pageContent.length > 0,
);
const [docEmbeddings, queryEmbedding] = await Promise.all([
embeddings.embedDocuments(docsWithContent.map((doc) => doc.pageContent)),
embeddings.embedQuery(query),
]);
if (optimizationMode === 'speed') {
return docsWithContent.slice(0, 15);
} else if (optimizationMode === 'balanced') {
console.log('Balanced mode');
const [docEmbeddings, queryEmbedding] = await Promise.all([
embeddings.embedDocuments(
docsWithContent.map((doc) => doc.pageContent),
),
embeddings.embedQuery(query),
]);
const similarity = docEmbeddings.map((docEmbedding, i) => {
const sim = computeSimilarity(queryEmbedding, docEmbedding);
const similarity = docEmbeddings.map((docEmbedding, i) => {
const sim = computeSimilarity(queryEmbedding, docEmbedding);
return {
index: i,
similarity: sim,
};
});
return {
index: i,
similarity: sim,
};
});
const sortedDocs = similarity
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.map((sim) => docsWithContent[sim.index]);
const sortedDocs = similarity
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.map((sim) => docsWithContent[sim.index]);
return sortedDocs;
return sortedDocs;
}
};
return RunnableSequence.from([
@ -224,12 +231,17 @@ const basicAcademicSearch = (
history: BaseMessage[],
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const emitter = new eventEmitter();
try {
const basicAcademicSearchAnsweringChain =
createBasicAcademicSearchAnsweringChain(llm, embeddings);
createBasicAcademicSearchAnsweringChain(
llm,
embeddings,
optimizationMode,
);
const stream = basicAcademicSearchAnsweringChain.streamEvents(
{
@ -258,8 +270,15 @@ const handleAcademicSearch = (
history: BaseMessage[],
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const emitter = basicAcademicSearch(message, history, llm, embeddings);
const emitter = basicAcademicSearch(
message,
history,
llm,
embeddings,
optimizationMode,
);
return emitter;
};

53
src/agents/redditSearchAgent.ts
View File

@ -138,6 +138,7 @@ const createBasicRedditSearchRetrieverChain = (llm: BaseChatModel) => {
const createBasicRedditSearchAnsweringChain = (
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const basicRedditSearchRetrieverChain =
createBasicRedditSearchRetrieverChain(llm);
@ -163,27 +164,33 @@ const createBasicRedditSearchAnsweringChain = (
(doc) => doc.pageContent && doc.pageContent.length > 0,
);
const [docEmbeddings, queryEmbedding] = await Promise.all([
embeddings.embedDocuments(docsWithContent.map((doc) => doc.pageContent)),
embeddings.embedQuery(query),
]);
if (optimizationMode === 'speed') {
return docsWithContent.slice(0, 15);
} else if (optimizationMode === 'balanced') {
const [docEmbeddings, queryEmbedding] = await Promise.all([
embeddings.embedDocuments(
docsWithContent.map((doc) => doc.pageContent),
),
embeddings.embedQuery(query),
]);
const similarity = docEmbeddings.map((docEmbedding, i) => {
const sim = computeSimilarity(queryEmbedding, docEmbedding);
const similarity = docEmbeddings.map((docEmbedding, i) => {
const sim = computeSimilarity(queryEmbedding, docEmbedding);
return {
index: i,
similarity: sim,
};
});
return {
index: i,
similarity: sim,
};
});
const sortedDocs = similarity
.filter((sim) => sim.similarity > 0.3)
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.map((sim) => docsWithContent[sim.index]);
const sortedDocs = similarity
.filter((sim) => sim.similarity > 0.3)
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.map((sim) => docsWithContent[sim.index]);
return sortedDocs;
return sortedDocs;
}
};
return RunnableSequence.from([
@ -220,12 +227,13 @@ const basicRedditSearch = (
history: BaseMessage[],
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const emitter = new eventEmitter();
try {
const basicRedditSearchAnsweringChain =
createBasicRedditSearchAnsweringChain(llm, embeddings);
createBasicRedditSearchAnsweringChain(llm, embeddings, optimizationMode);
const stream = basicRedditSearchAnsweringChain.streamEvents(
{
chat_history: history,
@ -253,8 +261,15 @@ const handleRedditSearch = (
history: BaseMessage[],
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const emitter = basicRedditSearch(message, history, llm, embeddings);
const emitter = basicRedditSearch(
message,
history,
llm,
embeddings,
optimizationMode,
);
return emitter;
};

86
src/agents/webSearchAgent.ts
View File

@ -216,12 +216,34 @@ const createBasicWebSearchRetrieverChain = (llm: BaseChatModel) => {
await Promise.all(
docGroups.map(async (doc) => {
const res = await llm.invoke(`
You are a text summarizer. You need to summarize the text provided inside the \`text\` XML block.
You need to summarize the text into 1 or 2 sentences capturing the main idea of the text.
You need to make sure that you don't miss any point while summarizing the text.
You will also be given a \`query\` XML block which will contain the query of the user. Try to answer the query in the summary from the text provided.
If the query says Summarize then you just need to summarize the text without answering the query.
Only return the summarized text without any other messages, text or XML block.
You are a web search summarizer, tasked with summarizing a piece of text retrieved from a web search. Your job is to summarize the
text into a detailed, 2-4 paragraph explanation that captures the main ideas and provides a comprehensive answer to the query.
If the query is \"summarize\", you should provide a detailed summary of the text. If the query is a specific question, you should answer it in the summary.
- **Journalistic tone**: The summary should sound professional and journalistic, not too casual or vague.
- **Thorough and detailed**: Ensure that every key point from the text is captured and that the summary directly answers the query.
- **Not too lengthy, but detailed**: The summary should be informative but not excessively long. Focus on providing detailed information in a concise format.
The text will be shared inside the \`text\` XML tag, and the query inside the \`query\` XML tag.
<example>
<text>
Docker is a set of platform-as-a-service products that use OS-level virtualization to deliver software in packages called containers.
It was first released in 2013 and is developed by Docker, Inc. Docker is designed to make it easier to create, deploy, and run applications
by using containers.
</text>
<query>
What is Docker and how does it work?
</query>
Response:
Docker is a revolutionary platform-as-a-service product developed by Docker, Inc., that uses container technology to make application
deployment more efficient. It allows developers to package their software with all necessary dependencies, making it easier to run in
any environment. Released in 2013, Docker has transformed the way applications are built, deployed, and managed.
</example>
Everything below is the actual data you will be working with. Good luck!
<query>
${question}
@ -273,6 +295,7 @@ const createBasicWebSearchRetrieverChain = (llm: BaseChatModel) => {
const createBasicWebSearchAnsweringChain = (
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const basicWebSearchRetrieverChain = createBasicWebSearchRetrieverChain(llm);
@ -301,27 +324,33 @@ const createBasicWebSearchAnsweringChain = (
(doc) => doc.pageContent && doc.pageContent.length > 0,
);
const [docEmbeddings, queryEmbedding] = await Promise.all([
embeddings.embedDocuments(docsWithContent.map((doc) => doc.pageContent)),
embeddings.embedQuery(query),
]);
if (optimizationMode === 'speed') {
return docsWithContent.slice(0, 15);
} else if (optimizationMode === 'balanced') {
const [docEmbeddings, queryEmbedding] = await Promise.all([
embeddings.embedDocuments(
docsWithContent.map((doc) => doc.pageContent),
),
embeddings.embedQuery(query),
]);
const similarity = docEmbeddings.map((docEmbedding, i) => {
const sim = computeSimilarity(queryEmbedding, docEmbedding);
const similarity = docEmbeddings.map((docEmbedding, i) => {
const sim = computeSimilarity(queryEmbedding, docEmbedding);
return {
index: i,
similarity: sim,
};
});
return {
index: i,
similarity: sim,
};
});
const sortedDocs = similarity
.filter((sim) => sim.similarity > 0.3)
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.map((sim) => docsWithContent[sim.index]);
const sortedDocs = similarity
.filter((sim) => sim.similarity > 0.3)
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.map((sim) => docsWithContent[sim.index]);
return sortedDocs;
return sortedDocs;
}
};
return RunnableSequence.from([
@ -358,6 +387,7 @@ const basicWebSearch = (
history: BaseMessage[],
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const emitter = new eventEmitter();
@ -365,6 +395,7 @@ const basicWebSearch = (
const basicWebSearchAnsweringChain = createBasicWebSearchAnsweringChain(
llm,
embeddings,
optimizationMode,
);
const stream = basicWebSearchAnsweringChain.streamEvents(
@ -394,8 +425,15 @@ const handleWebSearch = (
history: BaseMessage[],
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const emitter = basicWebSearch(message, history, llm, embeddings);
const emitter = basicWebSearch(
message,
history,
llm,
embeddings,
optimizationMode,
);
return emitter;
};

53
src/agents/youtubeSearchAgent.ts
View File

@ -138,6 +138,7 @@ const createBasicYoutubeSearchRetrieverChain = (llm: BaseChatModel) => {
const createBasicYoutubeSearchAnsweringChain = (
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const basicYoutubeSearchRetrieverChain =
createBasicYoutubeSearchRetrieverChain(llm);
@ -163,27 +164,33 @@ const createBasicYoutubeSearchAnsweringChain = (
(doc) => doc.pageContent && doc.pageContent.length > 0,
);
const [docEmbeddings, queryEmbedding] = await Promise.all([
embeddings.embedDocuments(docsWithContent.map((doc) => doc.pageContent)),
embeddings.embedQuery(query),
]);
if (optimizationMode === 'speed') {
return docsWithContent.slice(0, 15);
} else {
const [docEmbeddings, queryEmbedding] = await Promise.all([
embeddings.embedDocuments(
docsWithContent.map((doc) => doc.pageContent),
),
embeddings.embedQuery(query),
]);
const similarity = docEmbeddings.map((docEmbedding, i) => {
const sim = computeSimilarity(queryEmbedding, docEmbedding);
const similarity = docEmbeddings.map((docEmbedding, i) => {
const sim = computeSimilarity(queryEmbedding, docEmbedding);
return {
index: i,
similarity: sim,
};
});
return {
index: i,
similarity: sim,
};
});
const sortedDocs = similarity
.filter((sim) => sim.similarity > 0.3)
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.map((sim) => docsWithContent[sim.index]);
const sortedDocs = similarity
.filter((sim) => sim.similarity > 0.3)
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.map((sim) => docsWithContent[sim.index]);
return sortedDocs;
return sortedDocs;
}
};
return RunnableSequence.from([
@ -220,12 +227,13 @@ const basicYoutubeSearch = (
history: BaseMessage[],
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const emitter = new eventEmitter();
try {
const basicYoutubeSearchAnsweringChain =
createBasicYoutubeSearchAnsweringChain(llm, embeddings);
createBasicYoutubeSearchAnsweringChain(llm, embeddings, optimizationMode);
const stream = basicYoutubeSearchAnsweringChain.streamEvents(
{
@ -254,8 +262,15 @@ const handleYoutubeSearch = (
history: BaseMessage[],
llm: BaseChatModel,
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
) => {
const emitter = basicYoutubeSearch(message, history, llm, embeddings);
const emitter = basicYoutubeSearch(
message,
history,
llm,
embeddings,
optimizationMode,
);
return emitter;
};

12
src/routes/models.ts
View File

@ -14,6 +14,18 @@ router.get('/', async (req, res) => {
getAvailableEmbeddingModelProviders(),
]);
Object.keys(chatModelProviders).forEach((provider) => {
Object.keys(chatModelProviders[provider]).forEach((model) => {
delete chatModelProviders[provider][model].model;
});
});
Object.keys(embeddingModelProviders).forEach((provider) => {
Object.keys(embeddingModelProviders[provider]).forEach((model) => {
delete embeddingModelProviders[provider][model].model;
});
});
res.status(200).json({ chatModelProviders, embeddingModelProviders });
} catch (err) {
res.status(500).json({ message: 'An error has occurred.' });

4
src/routes/search.ts
View File

@ -25,6 +25,7 @@ interface embeddingModel {
}
interface ChatRequestBody {
optimizationMode: 'speed' | 'balanced';
focusMode: string;
chatModel?: chatModel;
embeddingModel?: embeddingModel;
@ -41,6 +42,7 @@ router.post('/', async (req, res) => {
}
body.history = body.history || [];
body.optimizationMode = body.optimizationMode || 'balanced';
const history: BaseMessage[] = body.history.map((msg) => {
if (msg[0] === 'human') {
@ -119,7 +121,7 @@ router.post('/', async (req, res) => {
return res.status(400).json({ message: 'Invalid focus mode' });
}
const emitter = searchHandler(body.query, history, llm, embeddings);
const emitter = searchHandler(body.query, history, llm, embeddings, body.optimizationMode);
let message = '';
let sources = [];

3
src/websocket/messageHandler.ts
View File

@ -22,7 +22,7 @@ type Message = {
type WSMessage = {
message: Message;
copilot: boolean;
optimizationMode: string;
type: string;
focusMode: string;
history: Array<[string, string]>;
@ -138,6 +138,7 @@ export const handleMessage = async (
history,
llm,
embeddings,
parsedWSMessage.optimizationMode,
);
handleEmitterEvents(emitter, ws, id, parsedMessage.chatId);

4
ui/components/ChatWindow.tsx
View File

@ -315,6 +315,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
const [messages, setMessages] = useState<Message[]>([]);
const [focusMode, setFocusMode] = useState('webSearch');
const [optimizationMode, setOptimizationMode] = useState('speed');
const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);
@ -386,6 +387,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
content: message,
},
focusMode: focusMode,
optimizationMode: optimizationMode,
history: [...chatHistory, ['human', message]],
}),
);
@ -548,6 +550,8 @@ const ChatWindow = ({ id }: { id?: string }) => {
sendMessage={sendMessage}
focusMode={focusMode}
setFocusMode={setFocusMode}
optimizationMode={optimizationMode}
setOptimizationMode={setOptimizationMode}
/>
)}
</div>

30
ui/components/DeleteChat.tsx
View File

@ -1,5 +1,13 @@
import { Delete, Trash } from 'lucide-react';
import { Dialog, Transition } from '@headlessui/react';
import { Trash } from 'lucide-react';
import {
Description,
Dialog,
DialogBackdrop,
DialogPanel,
DialogTitle,
Transition,
TransitionChild,
} from '@headlessui/react';
import { Fragment, useState } from 'react';
import { toast } from 'sonner';
import { Chat } from '@/app/library/page';
@ -64,10 +72,10 @@ const DeleteChat = ({
}
}}
>
<Dialog.Backdrop className="fixed inset-0 bg-black/30" />
<DialogBackdrop className="fixed inset-0 bg-black/30" />
<div className="fixed inset-0 overflow-y-auto">
<div className="flex min-h-full items-center justify-center p-4 text-center">
<Transition.Child
<TransitionChild
as={Fragment}
enter="ease-out duration-200"
enterFrom="opacity-0 scale-95"
@ -76,13 +84,13 @@ const DeleteChat = ({
leaveFrom="opacity-100 scale-200"
leaveTo="opacity-0 scale-95"
>
<Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
<Dialog.Title className="text-lg font-medium leading-6 dark:text-white">
<DialogPanel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
<DialogTitle className="text-lg font-medium leading-6 dark:text-white">
Delete Confirmation
</Dialog.Title>
<Dialog.Description className="text-sm dark:text-white/70 text-black/70">
</DialogTitle>
<Description className="text-sm dark:text-white/70 text-black/70">
Are you sure you want to delete this chat?
</Dialog.Description>
</Description>
<div className="flex flex-row items-end justify-end space-x-4 mt-6">
<button
onClick={() => {
@ -101,8 +109,8 @@ const DeleteChat = ({
Delete
</button>
</div>
</Dialog.Panel>
</Transition.Child>
</DialogPanel>
</TransitionChild>
</div>
</div>
</Dialog>

6
ui/components/EmptyChat.tsx
View File

@ -4,10 +4,14 @@ const EmptyChat = ({
sendMessage,
focusMode,
setFocusMode,
optimizationMode,
setOptimizationMode,
}: {
sendMessage: (message: string) => void;
focusMode: string;
setFocusMode: (mode: string) => void;
optimizationMode: string;
setOptimizationMode: (mode: string) => void;
}) => {
return (
<div className="relative">
@ -19,6 +23,8 @@ const EmptyChat = ({
sendMessage={sendMessage}
focusMode={focusMode}
setFocusMode={setFocusMode}
optimizationMode={optimizationMode}
setOptimizationMode={setOptimizationMode}
/>
</div>
</div>

16
ui/components/EmptyChatMessageInput.tsx
View File

@ -3,15 +3,20 @@ import { useEffect, useRef, useState } from 'react';
import TextareaAutosize from 'react-textarea-autosize';
import CopilotToggle from './MessageInputActions/Copilot';
import Focus from './MessageInputActions/Focus';
import Optimization from './MessageInputActions/Optimization';
const EmptyChatMessageInput = ({
sendMessage,
focusMode,
setFocusMode,
optimizationMode,
setOptimizationMode,
}: {
sendMessage: (message: string) => void;
focusMode: string;
setFocusMode: (mode: string) => void;
optimizationMode: string;
setOptimizationMode: (mode: string) => void;
}) => {
const [copilotEnabled, setCopilotEnabled] = useState(false);
const [message, setMessage] = useState('');
@ -66,14 +71,13 @@ const EmptyChatMessageInput = ({
placeholder="Ask anything..."
/>
<div className="flex flex-row items-center justify-between mt-4">
<div className="flex flex-row items-center space-x-1 -mx-2">
<div className="flex flex-row items-center space-x-4">
<Focus focusMode={focusMode} setFocusMode={setFocusMode} />
{/* <Attach /> */}
</div>
<div className="flex flex-row items-center space-x-4 -mx-2">
<CopilotToggle
copilotEnabled={copilotEnabled}
setCopilotEnabled={setCopilotEnabled}
<div className="flex flex-row items-center space-x-1 sm:space-x-4">
<Optimization
optimizationMode={optimizationMode}
setOptimizationMode={setOptimizationMode}
/>
<button
disabled={message.trim().length === 0}

25
ui/components/MessageInputActions/Focus.tsx
View File

@ -7,7 +7,12 @@ import {
SwatchBook,
} from 'lucide-react';
import { cn } from '@/lib/utils';
import { Popover, Transition } from '@headlessui/react';
import {
Popover,
PopoverButton,
PopoverPanel,
Transition,
} from '@headlessui/react';
import { SiReddit, SiYoutube } from '@icons-pack/react-simple-icons';
import { Fragment } from 'react';
@ -70,10 +75,10 @@ const Focus = ({
setFocusMode: (mode: string) => void;
}) => {
return (
<Popover className="fixed w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
<Popover.Button
<Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
<PopoverButton
type="button"
className="p-2 text-black/50 dark:text-white/50 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
className=" text-black/50 dark:text-white/50 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
>
{focusMode !== 'webSearch' ? (
<div className="flex flex-row items-center space-x-1">
@ -86,7 +91,7 @@ const Focus = ({
) : (
<ScanEye />
)}
</Popover.Button>
</PopoverButton>
<Transition
as={Fragment}
enter="transition ease-out duration-150"
@ -96,10 +101,10 @@ const Focus = ({
leaveFrom="opacity-100 translate-y-0"
leaveTo="opacity-0 translate-y-1"
>
<Popover.Panel className="absolute z-10 w-full">
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-1 bg-light-primary dark:bg-dark-primary border rounded-lg border-light-200 dark:border-dark-200 w-full p-2 max-h-[200px] md:max-h-none overflow-y-auto">
<PopoverPanel className="absolute z-10 w-64 md:w-[500px] left-0">
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-2 bg-light-primary dark:bg-dark-primary border rounded-lg border-light-200 dark:border-dark-200 w-full p-4 max-h-[200px] md:max-h-none overflow-y-auto">
{focusModes.map((mode, i) => (
<Popover.Button
<PopoverButton
onClick={() => setFocusMode(mode.key)}
key={i}
className={cn(
@ -123,10 +128,10 @@ const Focus = ({
<p className="text-black/70 dark:text-white/70 text-xs">
{mode.description}
</p>
</Popover.Button>
</PopoverButton>
))}
</div>
</Popover.Panel>
</PopoverPanel>
</Transition>
</Popover>
);

104
ui/components/MessageInputActions/Optimization.tsx Normal file
View File

@ -0,0 +1,104 @@
import { ChevronDown, Sliders, Star, Zap } from 'lucide-react';
import { cn } from '@/lib/utils';
import {
Popover,
PopoverButton,
PopoverPanel,
Transition,
} from '@headlessui/react';
import { Fragment } from 'react';
const OptimizationModes = [
{
key: 'speed',
title: 'Speed',
description: 'Prioritize speed and get the quickest possible answer.',
icon: <Zap size={20} className="text-[#FF9800]" />,
},
{
key: 'balanced',
title: 'Balanced',
description: 'Find the right balance between speed and accuracy',
icon: <Sliders size={20} className="text-[#4CAF50]" />,
},
{
key: 'quality',
title: 'Quality (Soon)',
description: 'Get the most thorough and accurate answer',
icon: (
<Star
size={16}
className="text-[#2196F3] dark:text-[#BBDEFB] fill-[#BBDEFB] dark:fill-[#2196F3]"
/>
),
},
];
const Optimization = ({
optimizationMode,
setOptimizationMode,
}: {
optimizationMode: string;
setOptimizationMode: (mode: string) => void;
}) => {
return (
<Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
<PopoverButton
type="button"
className="p-2 text-black/50 dark:text-white/50 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
>
<div className="flex flex-row items-center space-x-1">
{
OptimizationModes.find((mode) => mode.key === optimizationMode)
?.icon
}
<p className="text-xs font-medium">
{
OptimizationModes.find((mode) => mode.key === optimizationMode)
?.title
}
</p>
<ChevronDown size={20} />
</div>
</PopoverButton>
<Transition
as={Fragment}
enter="transition ease-out duration-150"
enterFrom="opacity-0 translate-y-1"
enterTo="opacity-100 translate-y-0"
leave="transition ease-in duration-150"
leaveFrom="opacity-100 translate-y-0"
leaveTo="opacity-0 translate-y-1"
>
<PopoverPanel className="absolute z-10 w-64 md:w-[250px] right-0">
<div className="flex flex-col gap-2 bg-light-primary dark:bg-dark-primary border rounded-lg border-light-200 dark:border-dark-200 w-full p-4 max-h-[200px] md:max-h-none overflow-y-auto">
{OptimizationModes.map((mode, i) => (
<PopoverButton
onClick={() => setOptimizationMode(mode.key)}
key={i}
disabled={mode.key === 'quality'}
className={cn(
'p-2 rounded-lg flex flex-col items-start justify-start text-start space-y-1 duration-200 cursor-pointer transition',
optimizationMode === mode.key
? 'bg-light-secondary dark:bg-dark-secondary'
: 'hover:bg-light-secondary dark:hover:bg-dark-secondary',
mode.key === 'quality' && 'opacity-50 cursor-not-allowed',
)}
>
<div className="flex flex-row items-center space-x-1 text-black dark:text-white">
{mode.icon}
<p className="text-sm font-medium">{mode.title}</p>
</div>
<p className="text-black/70 dark:text-white/70 text-xs">
{mode.description}
</p>
</PopoverButton>
))}
</div>
</PopoverPanel>
</Transition>
</Popover>
);
};
export default Optimization;

20
ui/components/MessageSources.tsx
View File

@ -1,5 +1,11 @@
/* eslint-disable @next/next/no-img-element */
import { Dialog, Transition } from '@headlessui/react';
import {
Dialog,
DialogPanel,
DialogTitle,
Transition,
TransitionChild,
} from '@headlessui/react';
import { Document } from '@langchain/core/documents';
import { Fragment, useState } from 'react';
@ -74,7 +80,7 @@ const MessageSources = ({ sources }: { sources: Document[] }) => {
<Dialog as="div" className="relative z-50" onClose={closeModal}>
<div className="fixed inset-0 overflow-y-auto">
<div className="flex min-h-full items-center justify-center p-4 text-center">
<Transition.Child
<TransitionChild
as={Fragment}
enter="ease-out duration-200"
enterFrom="opacity-0 scale-95"
@ -83,10 +89,10 @@ const MessageSources = ({ sources }: { sources: Document[] }) => {
leaveFrom="opacity-100 scale-200"
leaveTo="opacity-0 scale-95"
>
<Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
<Dialog.Title className="text-lg font-medium leading-6 dark:text-white">
<DialogPanel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
<DialogTitle className="text-lg font-medium leading-6 dark:text-white">
Sources
</Dialog.Title>
</DialogTitle>
<div className="grid grid-cols-2 gap-2 overflow-auto max-h-[300px] mt-2 pr-2">
{sources.map((source, i) => (
<a
@ -122,8 +128,8 @@ const MessageSources = ({ sources }: { sources: Document[] }) => {
</a>
))}
</div>
</Dialog.Panel>
</Transition.Child>
</DialogPanel>
</TransitionChild>
</div>
</div>
</Dialog>

24
ui/components/SettingsDialog.tsx
View File

@ -1,5 +1,11 @@
import { cn } from '@/lib/utils';
import { Dialog, Transition } from '@headlessui/react';
import {
Dialog,
DialogPanel,
DialogTitle,
Transition,
TransitionChild,
} from '@headlessui/react';
import { CloudUpload, RefreshCcw, RefreshCw } from 'lucide-react';
import React, {
Fragment,
@ -192,7 +198,7 @@ const SettingsDialog = ({
className="relative z-50"
onClose={() => setIsOpen(false)}
>
<Transition.Child
<TransitionChild
as={Fragment}
enter="ease-out duration-300"
enterFrom="opacity-0"
@ -202,10 +208,10 @@ const SettingsDialog = ({
leaveTo="opacity-0"
>
<div className="fixed inset-0 bg-white/50 dark:bg-black/50" />
</Transition.Child>
</TransitionChild>
<div className="fixed inset-0 overflow-y-auto">
<div className="flex min-h-full items-center justify-center p-4 text-center">
<Transition.Child
<TransitionChild
as={Fragment}
enter="ease-out duration-200"
enterFrom="opacity-0 scale-95"
@ -214,10 +220,10 @@ const SettingsDialog = ({
leaveFrom="opacity-100 scale-200"
leaveTo="opacity-0 scale-95"
>
<Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
<Dialog.Title className="text-xl font-medium leading-6 dark:text-white">
<DialogPanel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
<DialogTitle className="text-xl font-medium leading-6 dark:text-white">
Settings
</Dialog.Title>
</DialogTitle>
{config && !isLoading && (
<div className="flex flex-col space-y-4 mt-6">
<div className="flex flex-col space-y-1">
@ -495,8 +501,8 @@ const SettingsDialog = ({
)}
</button>
</div>
</Dialog.Panel>
</Transition.Child>
</DialogPanel>
</TransitionChild>
</div>
</div>
</Dialog>

2
ui/package.json
View File

@ -11,7 +11,7 @@
"format:write": "prettier . --write"
},
"dependencies": {
"@headlessui/react": "^1.7.18",
"@headlessui/react": "^2.1.9",
"@icons-pack/react-simple-icons": "^9.4.0",
"@langchain/openai": "^0.0.25",
"@tailwindcss/typography": "^0.5.12",

138
ui/yarn.lock
View File

@ -66,13 +66,51 @@
resolved "https://registry.yarnpkg.com/@eslint/js/-/js-8.57.0.tgz#a5417ae8427873f1dd08b70b3574b453e67b5f7f"
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"@headlessui/react@^1.7.18":
version "1.7.18"
resolved "https://registry.yarnpkg.com/@headlessui/react/-/react-1.7.18.tgz#30af4634d2215b2ca1aa29d07f33d02bea82d9d7"
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"@floating-ui/core@^1.6.0":
version "1.6.8"
resolved "https://registry.yarnpkg.com/@floating-ui/core/-/core-1.6.8.tgz#aa43561be075815879305965020f492cdb43da12"
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dependencies:
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client-only "^0.0.1"
"@floating-ui/utils" "^0.2.8"
"@floating-ui/dom@^1.0.0":
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dependencies:
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"@floating-ui/react-dom@^2.1.2":
version "2.1.2"
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dependencies:
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dependencies:
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"@floating-ui/utils" "^0.2.8"
tabbable "^6.0.0"
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resolved "https://registry.yarnpkg.com/@floating-ui/utils/-/utils-0.2.8.tgz#21a907684723bbbaa5f0974cf7730bd797eb8e62"
integrity sha512-kym7SodPp8/wloecOpcmSnWJsK7M0E5Wg8UcFA+uO4B9s5d0ywXOEro/8HM9x0rW+TljRzul/14UYz3TleT3ig==
"@headlessui/react@^2.1.9":
version "2.1.9"
resolved "https://registry.yarnpkg.com/@headlessui/react/-/react-2.1.9.tgz#d8d3ff64255177a87706cc4f24f42aeac65b1695"
integrity sha512-ckWw7vlKtnoa1fL2X0fx1a3t/Li9MIKDVXn3SgG65YlxvDAsNrY39PPCxVM7sQRA7go2fJsuHSSauKFNaJHH7A==
dependencies:
"@floating-ui/react" "^0.26.16"
"@react-aria/focus" "^3.17.1"
"@react-aria/interactions" "^3.21.3"
"@tanstack/react-virtual" "^3.8.1"
"@humanwhocodes/config-array@^0.11.14":
version "0.11.14"
@ -278,6 +316,57 @@
resolved "https://registry.yarnpkg.com/@pkgjs/parseargs/-/parseargs-0.11.0.tgz#a77ea742fab25775145434eb1d2328cf5013ac33"
integrity sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==
"@react-aria/focus@^3.17.1":
version "3.18.3"
resolved "https://registry.yarnpkg.com/@react-aria/focus/-/focus-3.18.3.tgz#4fe32de1e7530beab8da2e7b89f0f17d22a47e5e"
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dependencies:
"@react-aria/interactions" "^3.22.3"
"@react-aria/utils" "^3.25.3"
"@react-types/shared" "^3.25.0"
"@swc/helpers" "^0.5.0"
clsx "^2.0.0"
"@react-aria/interactions@^3.21.3", "@react-aria/interactions@^3.22.3":
version "3.22.3"
resolved "https://registry.yarnpkg.com/@react-aria/interactions/-/interactions-3.22.3.tgz#3ba50db12f6ed443ae061eed79e41509eaa3d8e6"
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dependencies:
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resolved "https://registry.yarnpkg.com/@react-aria/ssr/-/ssr-3.9.6.tgz#a9e8b351acdc8238f2b5215b0ce904636c6ea690"
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dependencies:
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dependencies:
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"@react-types/shared" "^3.25.0"
"@swc/helpers" "^0.5.0"
clsx "^2.0.0"
"@react-stately/utils@^3.10.4":
version "3.10.4"
resolved "https://registry.yarnpkg.com/@react-stately/utils/-/utils-3.10.4.tgz#310663a834b67048d305e1680ed258130092fe51"
integrity sha512-gBEQEIMRh5f60KCm7QKQ2WfvhB2gLUr9b72sqUdIZ2EG+xuPgaIlCBeSicvjmjBvYZwOjoOEnmIkcx2GHp/HWw==
dependencies:
"@swc/helpers" "^0.5.0"
"@react-types/shared@^3.25.0":
version "3.25.0"
resolved "https://registry.yarnpkg.com/@react-types/shared/-/shared-3.25.0.tgz#7223baf72256e918a3c29081bb1ecc6fad4fbf58"
integrity sha512-OZSyhzU6vTdW3eV/mz5i6hQwQUhkRs7xwY2d1aqPvTdMe0+2cY7Fwp45PAiwYLEj73i9ro2FxF9qC4DvHGSCgQ==
"@rushstack/eslint-patch@^1.3.3":
version "1.10.1"
resolved "https://registry.yarnpkg.com/@rushstack/eslint-patch/-/eslint-patch-1.10.1.tgz#7ca168b6937818e9a74b47ac4e2112b2e1a024cf"
@ -290,6 +379,13 @@
dependencies:
tslib "^2.4.0"
"@swc/helpers@^0.5.0":
version "0.5.13"
resolved "https://registry.yarnpkg.com/@swc/helpers/-/helpers-0.5.13.tgz#33e63ff3cd0cade557672bd7888a39ce7d115a8c"
integrity sha512-UoKGxQ3r5kYI9dALKJapMmuK+1zWM/H17Z1+iwnNmzcJRnfFuevZs375TA5rW31pu4BS4NoSy1fRsexDXfWn5w==
dependencies:
tslib "^2.4.0"
"@tailwindcss/typography@^0.5.12":
version "0.5.12"
resolved "https://registry.yarnpkg.com/@tailwindcss/typography/-/typography-0.5.12.tgz#c0532fd594427b7f4e8e38eff7bf272c63a1dca4"
@ -300,17 +396,17 @@
lodash.merge "^4.6.2"
postcss-selector-parser "6.0.10"
"@tanstack/react-virtual@^3.0.0-beta.60":
version "3.2.0"
resolved "https://registry.yarnpkg.com/@tanstack/react-virtual/-/react-virtual-3.2.0.tgz#fb70f9c6baee753a5a0f7618ac886205d5a02af9"
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"@tanstack/react-virtual@^3.8.1":
version "3.10.8"
resolved "https://registry.yarnpkg.com/@tanstack/react-virtual/-/react-virtual-3.10.8.tgz#bf4b06f157ed298644a96ab7efc1a2b01ab36e3c"
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dependencies:
"@tanstack/virtual-core" "3.2.0"
"@tanstack/virtual-core" "3.10.8"
"@tanstack/virtual-core@3.2.0":
version "3.2.0"
resolved "https://registry.yarnpkg.com/@tanstack/virtual-core/-/virtual-core-3.2.0.tgz#874d36135e4badce2719e7bdc556ce240cbaff14"
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resolved "https://registry.yarnpkg.com/@tanstack/virtual-core/-/virtual-core-3.10.8.tgz#975446a667755222f62884c19e5c3c66d959b8b4"
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"@types/json5@^0.0.29":
version "0.0.29"
@ -779,11 +875,16 @@ chokidar@^3.5.3:
optionalDependencies:
fsevents "~2.3.2"
client-only@0.0.1, client-only@^0.0.1:
client-only@0.0.1:
version "0.0.1"
resolved "https://registry.yarnpkg.com/client-only/-/client-only-0.0.1.tgz#38bba5d403c41ab150bff64a95c85013cf73bca1"
integrity sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA==
clsx@^2.0.0:
version "2.1.1"
resolved "https://registry.yarnpkg.com/clsx/-/clsx-2.1.1.tgz#eed397c9fd8bd882bfb18deab7102049a2f32999"
integrity sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==
clsx@^2.1.0:
version "2.1.0"
resolved "https://registry.yarnpkg.com/clsx/-/clsx-2.1.0.tgz#e851283bcb5c80ee7608db18487433f7b23f77cb"
@ -2995,6 +3096,11 @@ supports-preserve-symlinks-flag@^1.0.0:
resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
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tabbable@^6.0.0:
version "6.2.0"
resolved "https://registry.yarnpkg.com/tabbable/-/tabbable-6.2.0.tgz#732fb62bc0175cfcec257330be187dcfba1f3b97"
integrity sha512-Cat63mxsVJlzYvN51JmVXIgNoUokrIaT2zLclCXjRd8boZ0004U4KCs/sToJ75C6sdlByWxpYnb5Boif1VSFew==
tailwind-merge@^2.2.2:
version "2.2.2"
resolved "https://registry.yarnpkg.com/tailwind-merge/-/tailwind-merge-2.2.2.tgz#87341e7604f0e20499939e152cd2841f41f7a3df"