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...

12 Commits

Author SHA1 Message Date
ItzCrazyKns
3d5d04eda0 Merge branch 'canary' into feat/improve-search-architecture 2025-11-13 11:54:24 +05:30
ItzCrazyKns
07a17925b1 feat(media-search): supply full history 2025-11-13 11:53:53 +05:30
ItzCrazyKns
3bcf646af1 feat(search-route): handle history processing after llm validation 2025-11-13 11:52:12 +05:30
ItzCrazyKns
e499c0b96e feat(app): migrate video search chain 2025-11-13 11:51:25 +05:30
ItzCrazyKns
33b736e1e8 feat(app): migrate image search chain 2025-11-13 11:51:13 +05:30
Kushagra Srivastava
5e1746f646 Merge pull request #928 from ItzCrazyKns/master
Merge master into canary
2025-11-13 11:49:42 +05:30
ItzCrazyKns
41fe009847 feat(app): migrate suggestion chain 2025-11-13 11:47:28 +05:30
ItzCrazyKns
70c1f7230c feat(assets): remove old preview 2025-11-08 21:31:56 +05:30
ItzCrazyKns
c0771095a6 feat(app): lint & beautify 2025-10-30 17:21:48 +05:30
ItzCrazyKns
0856896aff feat(settings): fix text size, enhance UI 2025-10-30 17:21:40 +05:30
ItzCrazyKns
2e736613c5 Merge branch 'master' into canary 2025-10-27 11:43:18 +05:30
ItzCrazyKns
046daf442a feat(docker): update searxng build script 2025-10-23 19:06:27 +05:30
21 changed files with 231 additions and 271 deletions

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@@ -1,4 +1,4 @@
import handleImageSearch from '@/lib/agents/media/image';
import searchImages from '@/lib/agents/media/image';
import ModelRegistry from '@/lib/models/registry';
import { ModelWithProvider } from '@/lib/models/types';
import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
@@ -13,6 +13,13 @@ export const POST = async (req: Request) => {
try {
const body: ImageSearchBody = await req.json();
const registry = new ModelRegistry();
const llm = await registry.loadChatModel(
body.chatModel.providerId,
body.chatModel.key,
);
const chatHistory = body.chatHistory
.map((msg: any) => {
if (msg.role === 'user') {
@@ -23,16 +30,9 @@ export const POST = async (req: Request) => {
})
.filter((msg) => msg !== undefined) as BaseMessage[];
const registry = new ModelRegistry();
const llm = await registry.loadChatModel(
body.chatModel.providerId,
body.chatModel.key,
);
const images = await handleImageSearch(
const images = await searchImages(
{
chat_history: chatHistory,
chatHistory: chatHistory,
query: body.query,
},
llm,

View File

@@ -30,12 +30,6 @@ export const POST = async (req: Request) => {
body.optimizationMode = body.optimizationMode || 'balanced';
body.stream = body.stream || false;
const history: BaseMessage[] = body.history.map((msg) => {
return msg[0] === 'human'
? new HumanMessage({ content: msg[1] })
: new AIMessage({ content: msg[1] });
});
const registry = new ModelRegistry();
const [llm, embeddings] = await Promise.all([
@@ -46,6 +40,12 @@ export const POST = async (req: Request) => {
),
]);
const history: BaseMessage[] = body.history.map((msg) => {
return msg[0] === 'human'
? new HumanMessage({ content: msg[1] })
: new AIMessage({ content: msg[1] });
});
const searchHandler: MetaSearchAgentType = searchHandlers[body.focusMode];
if (!searchHandler) {
@@ -128,7 +128,7 @@ export const POST = async (req: Request) => {
try {
controller.close();
} catch (error) {}
} catch (error) { }
});
emitter.on('data', (data: string) => {

View File

@@ -1,7 +1,6 @@
import generateSuggestions from '@/lib/agents/suggestions';
import ModelRegistry from '@/lib/models/registry';
import { ModelWithProvider } from '@/lib/models/types';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
interface SuggestionsGenerationBody {
@@ -13,6 +12,13 @@ export const POST = async (req: Request) => {
try {
const body: SuggestionsGenerationBody = await req.json();
const registry = new ModelRegistry();
const llm = await registry.loadChatModel(
body.chatModel.providerId,
body.chatModel.key,
);
const chatHistory = body.chatHistory
.map((msg: any) => {
if (msg.role === 'user') {
@@ -23,16 +29,9 @@ export const POST = async (req: Request) => {
})
.filter((msg) => msg !== undefined) as BaseMessage[];
const registry = new ModelRegistry();
const llm = await registry.loadChatModel(
body.chatModel.providerId,
body.chatModel.key,
);
const suggestions = await generateSuggestions(
{
chat_history: chatHistory,
chatHistory,
},
llm,
);

View File

@@ -13,6 +13,13 @@ export const POST = async (req: Request) => {
try {
const body: VideoSearchBody = await req.json();
const registry = new ModelRegistry();
const llm = await registry.loadChatModel(
body.chatModel.providerId,
body.chatModel.key,
);
const chatHistory = body.chatHistory
.map((msg: any) => {
if (msg.role === 'user') {
@@ -23,16 +30,9 @@ export const POST = async (req: Request) => {
})
.filter((msg) => msg !== undefined) as BaseMessage[];
const registry = new ModelRegistry();
const llm = await registry.loadChatModel(
body.chatModel.providerId,
body.chatModel.key,
);
const videos = await handleVideoSearch(
{
chat_history: chatHistory,
chatHistory: chatHistory,
query: body.query,
},
llm,

View File

@@ -205,11 +205,11 @@ const MessageBox = ({
<div className="lg:sticky lg:top-20 flex flex-col items-center space-y-3 w-full lg:w-3/12 z-30 h-full pb-4">
<SearchImages
query={section.userMessage.content}
chatHistory={chatTurns.slice(0, sectionIndex * 2)}
chatHistory={chatTurns}
messageId={section.assistantMessage.messageId}
/>
<SearchVideos
chatHistory={chatTurns.slice(0, sectionIndex * 2)}
chatHistory={chatTurns}
query={section.userMessage.content}
messageId={section.assistantMessage.messageId}
/>

View File

@@ -97,7 +97,7 @@ const AddModel = ({
>
<DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
<div className="px-6 pt-6 pb-4">
<h3 className="text-black/90 dark:text-white/90 font-medium">
<h3 className="text-black/90 dark:text-white/90 font-medium text-sm">
Add new {type === 'chat' ? 'chat' : 'embedding'} model
</h3>
</div>
@@ -115,7 +115,7 @@ const AddModel = ({
<input
value={modelName}
onChange={(e) => setModelName(e.target.value)}
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
placeholder="e.g., GPT-4"
type="text"
required
@@ -128,7 +128,7 @@ const AddModel = ({
<input
value={modelKey}
onChange={(e) => setModelKey(e.target.value)}
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
placeholder="e.g., gpt-4"
type="text"
required
@@ -140,7 +140,7 @@ const AddModel = ({
<button
type="submit"
disabled={loading}
className="px-4 py-2 rounded-lg text-sm bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
className="px-4 py-2 rounded-lg text-[13px] bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
>
{loading ? (
<Loader2 className="animate-spin" size={16} />

View File

@@ -96,7 +96,7 @@ const AddProvider = ({
<>
<button
onClick={() => setOpen(true)}
className="px-3 md:px-4 py-1.5 md:py-2 rounded-lg text-xs sm:text-sm border border-light-200 dark:border-dark-200 text-black dark:text-white bg-light-secondary/50 dark:bg-dark-secondary/50 hover:bg-light-secondary hover:dark:bg-dark-secondary hover:border-light-300 hover:dark:border-dark-300 flex flex-row items-center space-x-1 active:scale-95 transition duration-200"
className="px-3 md:px-4 py-1.5 md:py-2 rounded-lg text-xs sm:text-xs border border-light-200 dark:border-dark-200 text-black dark:text-white bg-light-secondary/50 dark:bg-dark-secondary/50 hover:bg-light-secondary hover:dark:bg-dark-secondary hover:border-light-300 hover:dark:border-dark-300 flex flex-row items-center space-x-1 active:scale-95 transition duration-200"
>
<Plus className="w-3.5 h-3.5 md:w-4 md:h-4" />
<span>Add Connection</span>
@@ -119,7 +119,7 @@ const AddProvider = ({
<DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
<form onSubmit={handleSubmit} className="flex flex-col flex-1">
<div className="px-6 pt-6 pb-4">
<h3 className="text-black/90 dark:text-white/90 font-medium">
<h3 className="text-black/90 dark:text-white/90 font-medium text-sm">
Add new connection
</h3>
</div>
@@ -178,7 +178,7 @@ const AddProvider = ({
[field.key]: event.target.value,
}))
}
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
placeholder={
(field as StringUIConfigField).placeholder
}
@@ -194,7 +194,7 @@ const AddProvider = ({
<button
type="submit"
disabled={loading}
className="px-4 py-2 rounded-lg text-sm bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
className="px-4 py-2 rounded-lg text-[13px] bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
>
{loading ? (
<Loader2 className="animate-spin" size={16} />

View File

@@ -84,11 +84,11 @@ const ModelProvider = ({
<Plug2 size={14} className="text-sky-500" />
</div>
<div className="flex flex-col">
<p className="text-sm lg:text-base text-black dark:text-white font-medium">
<p className="text-sm lg:text-sm text-black dark:text-white font-medium">
{modelProvider.name}
</p>
{modelCount > 0 && (
<p className="text-[10px] lg:text-xs text-black/50 dark:text-white/50">
<p className="text-[10px] lg:text-[11px] text-black/50 dark:text-white/50">
{modelCount} model{modelCount !== 1 ? 's' : ''} configured
</p>
)}
@@ -109,7 +109,7 @@ const ModelProvider = ({
<div className="flex flex-col gap-y-4 px-5 py-4">
<div className="flex flex-col gap-y-2">
<div className="flex flex-row w-full justify-between items-center">
<p className="text-[11px] lg:text-xs font-medium text-black/70 dark:text-white/70 uppercase tracking-wide">
<p className="text-[11px] lg:text-[11px] font-medium text-black/70 dark:text-white/70 uppercase tracking-wide">
Chat Models
</p>
{!modelProvider.chatModels.some((m) => m.key === 'error') && (
@@ -122,7 +122,7 @@ const ModelProvider = ({
</div>
<div className="flex flex-col gap-2">
{modelProvider.chatModels.some((m) => m.key === 'error') ? (
<div className="flex flex-row items-center gap-2 text-xs lg:text-sm text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
<div className="flex flex-row items-center gap-2 text-xs lg:text-xs text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
<AlertCircle size={16} className="shrink-0" />
<span className="break-words">
{
@@ -144,7 +144,7 @@ const ModelProvider = ({
{modelProvider.chatModels.map((model, index) => (
<div
key={`${modelProvider.id}-chat-${model.key}-${index}`}
className="flex flex-row items-center space-x-1.5 text-xs lg:text-sm text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5 border border-light-200 dark:border-dark-200"
className="flex flex-row items-center space-x-1.5 text-xs lg:text-xs text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5 border border-light-200 dark:border-dark-200"
>
<span>{model.name}</span>
<button
@@ -164,7 +164,7 @@ const ModelProvider = ({
<div className="flex flex-col gap-y-2">
<div className="flex flex-row w-full justify-between items-center">
<p className="text-[11px] lg:text-xs font-medium text-black/70 dark:text-white/70 uppercase tracking-wide">
<p className="text-[11px] lg:text-[11px] font-medium text-black/70 dark:text-white/70 uppercase tracking-wide">
Embedding Models
</p>
{!modelProvider.embeddingModels.some((m) => m.key === 'error') && (
@@ -177,7 +177,7 @@ const ModelProvider = ({
</div>
<div className="flex flex-col gap-2">
{modelProvider.embeddingModels.some((m) => m.key === 'error') ? (
<div className="flex flex-row items-center gap-2 text-xs lg:text-sm text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
<div className="flex flex-row items-center gap-2 text-xs lg:text-xs text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
<AlertCircle size={16} className="shrink-0" />
<span className="break-words">
{
@@ -199,7 +199,7 @@ const ModelProvider = ({
{modelProvider.embeddingModels.map((model, index) => (
<div
key={`${modelProvider.id}-embedding-${model.key}-${index}`}
className="flex flex-row items-center space-x-1.5 text-xs lg:text-sm text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5 border border-light-200 dark:border-dark-200"
className="flex flex-row items-center space-x-1.5 text-xs lg:text-xs text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5 border border-light-200 dark:border-dark-200"
>
<span>{model.name}</span>
<button

View File

@@ -59,7 +59,7 @@ const ModelSelect = ({
<section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
<div className="space-y-3 lg:space-y-5">
<div>
<h4 className="text-sm lg:text-base text-black dark:text-white">
<h4 className="text-sm lg:text-sm text-black dark:text-white">
Select {type === 'chat' ? 'Chat Model' : 'Embedding Model'}
</h4>
<p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
@@ -86,7 +86,7 @@ const ModelSelect = ({
})),
)
}
className="!text-xs lg:!text-sm"
className="!text-xs lg:!text-[13px]"
loading={loading}
disabled={loading}
/>

View File

@@ -20,7 +20,7 @@ const Models = ({
return (
<div className="flex-1 space-y-6 overflow-y-auto py-6">
<div className="flex flex-col px-6 gap-y-4">
<h3 className="text-xs lg:text-sm text-black/70 dark:text-white/70">
<h3 className="text-xs lg:text-xs text-black/70 dark:text-white/70">
Select models
</h3>
<ModelSelect
@@ -38,7 +38,7 @@ const Models = ({
</div>
<div className="border-t border-light-200 dark:border-dark-200" />
<div className="flex flex-row justify-between items-center px-6 ">
<p className="text-xs lg:text-sm text-black/70 dark:text-white/70">
<p className="text-xs lg:text-xs text-black/70 dark:text-white/70">
Manage connections
</p>
<AddProvider modelProviders={fields} setProviders={setProviders} />

View File

@@ -109,7 +109,7 @@ const UpdateProvider = ({
<DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
<form onSubmit={handleSubmit} className="flex flex-col flex-1">
<div className="px-6 pt-6 pb-4">
<h3 className="text-black/90 dark:text-white/90 font-medium">
<h3 className="text-black/90 dark:text-white/90 font-medium text-sm">
Update connection
</h3>
</div>
@@ -150,7 +150,7 @@ const UpdateProvider = ({
[field.key]: event.target.value,
}))
}
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
placeholder={
(field as StringUIConfigField).placeholder
}
@@ -166,7 +166,7 @@ const UpdateProvider = ({
<button
type="submit"
disabled={loading}
className="px-4 py-2 rounded-lg text-sm bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
className="px-4 py-2 rounded-lg text-[13px] bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
>
{loading ? (
<Loader2 className="animate-spin" size={16} />

View File

@@ -176,7 +176,7 @@ const SettingsDialogue = ({
<div className="flex flex-1 flex-col overflow-hidden">
<div className="border-b border-light-200/60 px-6 pb-6 lg:pt-6 dark:border-dark-200/60 flex-shrink-0">
<div className="flex flex-col">
<h4 className="font-medium text-black dark:text-white text-sm lg:text-base">
<h4 className="font-medium text-black dark:text-white text-sm lg:text-sm">
{selectedSection.name}
</h4>
<p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">

View File

@@ -64,7 +64,7 @@ const SettingsSelect = ({
<section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
<div className="space-y-3 lg:space-y-5">
<div>
<h4 className="text-sm lg:text-base text-black dark:text-white">
<h4 className="text-sm lg:text-sm text-black dark:text-white">
{field.name}
</h4>
<p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
@@ -135,7 +135,7 @@ const SettingsInput = ({
<section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
<div className="space-y-3 lg:space-y-5">
<div>
<h4 className="text-sm lg:text-base text-black dark:text-white">
<h4 className="text-sm lg:text-sm text-black dark:text-white">
{field.name}
</h4>
<p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
@@ -147,7 +147,7 @@ const SettingsInput = ({
value={value ?? field.default ?? ''}
onChange={(event) => setValue(event.target.value)}
onBlur={(event) => handleSave(event.target.value)}
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
placeholder={field.placeholder}
type="text"
disabled={loading}
@@ -211,7 +211,7 @@ const SettingsTextarea = ({
<section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
<div className="space-y-3 lg:space-y-5">
<div>
<h4 className="text-sm lg:text-base text-black dark:text-white">
<h4 className="text-sm lg:text-sm text-black dark:text-white">
{field.name}
</h4>
<p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
@@ -223,7 +223,7 @@ const SettingsTextarea = ({
value={value ?? field.default ?? ''}
onChange={(event) => setValue(event.target.value)}
onBlur={(event) => handleSave(event.target.value)}
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
placeholder={field.placeholder}
rows={4}
disabled={loading}
@@ -289,7 +289,7 @@ const SettingsSwitch = ({
<section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
<div className="flex flex-row items-center space-x-3 lg:space-x-5 w-full justify-between">
<div>
<h4 className="text-sm lg:text-base text-black dark:text-white">
<h4 className="text-sm lg:text-sm text-black dark:text-white">
{field.name}
</h4>
<p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">

View File

@@ -7,101 +7,59 @@ import {
} from '@langchain/core/runnables';
import { ChatPromptTemplate } from '@langchain/core/prompts';
import formatChatHistoryAsString from '@/lib/utils/formatHistory';
import { BaseMessage } from '@langchain/core/messages';
import { BaseMessage, HumanMessage, SystemMessage } from '@langchain/core/messages';
import { StringOutputParser } from '@langchain/core/output_parsers';
import { searchSearxng } from '@/lib/searxng';
import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
import LineOutputParser from '@/lib/outputParsers/lineOutputParser';
const imageSearchChainPrompt = `
You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search the web for images.
You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
Output only the rephrased query wrapped in an XML <query> element. Do not include any explanation or additional text.
`;
import { imageSearchFewShots, imageSearchPrompt } from '@/lib/prompts/media/image';
type ImageSearchChainInput = {
chat_history: BaseMessage[];
chatHistory: BaseMessage[];
query: string;
};
interface ImageSearchResult {
type ImageSearchResult = {
img_src: string;
url: string;
title: string;
}
const strParser = new StringOutputParser();
const outputParser = new LineOutputParser({
key: 'query',
})
const createImageSearchChain = (llm: BaseChatModel) => {
return RunnableSequence.from([
RunnableMap.from({
chat_history: (input: ImageSearchChainInput) => {
return formatChatHistoryAsString(input.chat_history);
},
query: (input: ImageSearchChainInput) => {
return input.query;
},
}),
ChatPromptTemplate.fromMessages([
['system', imageSearchChainPrompt],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nWhat is a cat?\n</follow_up>',
],
['assistant', '<query>A cat</query>'],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nWhat is a car? How does it work?\n</follow_up>',
],
['assistant', '<query>Car working</query>'],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
],
['assistant', '<query>AC working</query>'],
[
'user',
'<conversation>{chat_history}</conversation>\n<follow_up>\n{query}\n</follow_up>',
],
]),
llm,
strParser,
RunnableLambda.from(async (input: string) => {
const queryParser = new LineOutputParser({
key: 'query',
});
return await queryParser.parse(input);
}),
RunnableLambda.from(async (input: string) => {
const res = await searchSearxng(input, {
engines: ['bing images', 'google images'],
});
const images: ImageSearchResult[] = [];
res.results.forEach((result) => {
if (result.img_src && result.url && result.title) {
images.push({
img_src: result.img_src,
url: result.url,
title: result.title,
});
}
});
return images.slice(0, 10);
}),
]);
};
const handleImageSearch = (
const searchImages = async (
input: ImageSearchChainInput,
llm: BaseChatModel,
) => {
const imageSearchChain = createImageSearchChain(llm);
return imageSearchChain.invoke(input);
const chatPrompt = await ChatPromptTemplate.fromMessages([
new SystemMessage(imageSearchPrompt),
...imageSearchFewShots,
new HumanMessage(`<conversation>\n${formatChatHistoryAsString(input.chatHistory)}\n</conversation>\n<follow_up>\n${input.query}\n</follow_up>`)
]).formatMessages({})
const res = await llm.invoke(chatPrompt)
const query = await outputParser.invoke(res)
const searchRes = await searchSearxng(query!, {
engines: ['bing images', 'google images'],
});
const images: ImageSearchResult[] = [];
searchRes.results.forEach((result) => {
if (result.img_src && result.url && result.title) {
images.push({
img_src: result.img_src,
url: result.url,
title: result.title,
});
}
});
return images.slice(0, 10);
};
export default handleImageSearch;
export default searchImages;

View File

@@ -1,110 +1,65 @@
import {
RunnableSequence,
RunnableMap,
RunnableLambda,
} from '@langchain/core/runnables';
import { ChatPromptTemplate } from '@langchain/core/prompts';
import formatChatHistoryAsString from '@/lib/utils/formatHistory';
import { BaseMessage } from '@langchain/core/messages';
import { StringOutputParser } from '@langchain/core/output_parsers';
import { BaseMessage, HumanMessage, SystemMessage } from '@langchain/core/messages';
import { searchSearxng } from '@/lib/searxng';
import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
import LineOutputParser from '@/lib/outputParsers/lineOutputParser';
const videoSearchChainPrompt = `
You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
Output only the rephrased query wrapped in an XML <query> element. Do not include any explanation or additional text.
`;
import { videoSearchFewShots, videoSearchPrompt } from '@/lib/prompts/media/videos';
type VideoSearchChainInput = {
chat_history: BaseMessage[];
chatHistory: BaseMessage[];
query: string;
};
interface VideoSearchResult {
type VideoSearchResult = {
img_src: string;
url: string;
title: string;
iframe_src: string;
}
const strParser = new StringOutputParser();
const outputParser = new LineOutputParser({
key: 'query',
});
const createVideoSearchChain = (llm: BaseChatModel) => {
return RunnableSequence.from([
RunnableMap.from({
chat_history: (input: VideoSearchChainInput) => {
return formatChatHistoryAsString(input.chat_history);
},
query: (input: VideoSearchChainInput) => {
return input.query;
},
}),
ChatPromptTemplate.fromMessages([
['system', videoSearchChainPrompt],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nHow does a car work?\n</follow_up>',
],
['assistant', '<query>How does a car work?</query>'],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nWhat is the theory of relativity?\n</follow_up>',
],
['assistant', '<query>Theory of relativity</query>'],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
],
['assistant', '<query>AC working</query>'],
[
'user',
'<conversation>{chat_history}</conversation>\n<follow_up>\n{query}\n</follow_up>',
],
]),
llm,
strParser,
RunnableLambda.from(async (input: string) => {
const queryParser = new LineOutputParser({
key: 'query',
});
return await queryParser.parse(input);
}),
RunnableLambda.from(async (input: string) => {
const res = await searchSearxng(input, {
engines: ['youtube'],
});
const videos: VideoSearchResult[] = [];
res.results.forEach((result) => {
if (
result.thumbnail &&
result.url &&
result.title &&
result.iframe_src
) {
videos.push({
img_src: result.thumbnail,
url: result.url,
title: result.title,
iframe_src: result.iframe_src,
});
}
});
return videos.slice(0, 10);
}),
]);
};
const handleVideoSearch = (
const searchVideos = async (
input: VideoSearchChainInput,
llm: BaseChatModel,
) => {
const videoSearchChain = createVideoSearchChain(llm);
return videoSearchChain.invoke(input);
const chatPrompt = await ChatPromptTemplate.fromMessages([
new SystemMessage(videoSearchPrompt),
...videoSearchFewShots,
new HumanMessage(`<conversation>${formatChatHistoryAsString(input.chatHistory)}\n</conversation>\n<follow_up>\n${input.query}\n</follow_up>`)
]).formatMessages({})
const res = await llm.invoke(chatPrompt)
const query = await outputParser.invoke(res)
const searchRes = await searchSearxng(query!, {
engines: ['youtube'],
});
const videos: VideoSearchResult[] = [];
searchRes.results.forEach((result) => {
if (
result.thumbnail &&
result.url &&
result.title &&
result.iframe_src
) {
videos.push({
img_src: result.thumbnail,
url: result.url,
title: result.title,
iframe_src: result.iframe_src,
});
}
});
return videos.slice(0, 10);
};
export default handleVideoSearch;
export default searchVideos;

View File

@@ -1,55 +1,32 @@
import { RunnableSequence, RunnableMap } from '@langchain/core/runnables';
import ListLineOutputParser from '@/lib/outputParsers/listLineOutputParser';
import { PromptTemplate } from '@langchain/core/prompts';
import { ChatPromptTemplate, PromptTemplate } from '@langchain/core/prompts';
import formatChatHistoryAsString from '@/lib/utils/formatHistory';
import { BaseMessage } from '@langchain/core/messages';
import { BaseMessage, HumanMessage, SystemMessage } from '@langchain/core/messages';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { ChatOpenAI } from '@langchain/openai';
const suggestionGeneratorPrompt = `
You are an AI suggestion generator for an AI powered search engine. You will be given a conversation below. You need to generate 4-5 suggestions based on the conversation. The suggestion should be relevant to the conversation that can be used by the user to ask the chat model for more information.
You need to make sure the suggestions are relevant to the conversation and are helpful to the user. Keep a note that the user might use these suggestions to ask a chat model for more information.
Make sure the suggestions are medium in length and are informative and relevant to the conversation.
Provide these suggestions separated by newlines between the XML tags <suggestions> and </suggestions>. For example:
<suggestions>
Tell me more about SpaceX and their recent projects
What is the latest news on SpaceX?
Who is the CEO of SpaceX?
</suggestions>
Conversation:
{chat_history}
`;
import { suggestionGeneratorPrompt } from '@/lib/prompts/suggestions';
type SuggestionGeneratorInput = {
chat_history: BaseMessage[];
chatHistory: BaseMessage[];
};
const outputParser = new ListLineOutputParser({
key: 'suggestions',
});
const createSuggestionGeneratorChain = (llm: BaseChatModel) => {
return RunnableSequence.from([
RunnableMap.from({
chat_history: (input: SuggestionGeneratorInput) =>
formatChatHistoryAsString(input.chat_history),
}),
PromptTemplate.fromTemplate(suggestionGeneratorPrompt),
llm,
outputParser,
]);
};
const generateSuggestions = (
const generateSuggestions = async (
input: SuggestionGeneratorInput,
llm: BaseChatModel,
) => {
(llm as unknown as ChatOpenAI).temperature = 0;
const suggestionGeneratorChain = createSuggestionGeneratorChain(llm);
return suggestionGeneratorChain.invoke(input);
const chatPrompt = await ChatPromptTemplate.fromMessages([
new SystemMessage(suggestionGeneratorPrompt),
new HumanMessage(`<conversation>${formatChatHistoryAsString(input.chatHistory)}</conversation>`)
]).formatMessages({})
const res = await llm.invoke(chatPrompt)
const suggestions = await outputParser.invoke(res)
return suggestions
};
export default generateSuggestions;

View File

@@ -48,7 +48,12 @@ class GeminiProvider extends BaseModelProvider<GeminiConfig> {
let defaultChatModels: Model[] = [];
data.models.forEach((m: any) => {
if (m.supportedGenerationMethods.some((genMethod: string) => genMethod === 'embedText' || genMethod === 'embedContent')) {
if (
m.supportedGenerationMethods.some(
(genMethod: string) =>
genMethod === 'embedText' || genMethod === 'embedContent',
)
) {
defaultEmbeddingModels.push({
key: m.name,
name: m.displayName,

View File

@@ -0,0 +1,26 @@
import { BaseMessageLike } from "@langchain/core/messages";
export const imageSearchPrompt = `
You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search the web for images.
You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
Output only the rephrased query wrapped in an XML <query> element. Do not include any explanation or additional text.
`;
export const imageSearchFewShots: BaseMessageLike[] = [
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nWhat is a cat?\n</follow_up>',
],
['assistant', '<query>A cat</query>'],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nWhat is a car? How does it work?\n</follow_up>',
],
['assistant', '<query>Car working</query>'],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
],
['assistant', '<query>AC working</query>']
]

View File

@@ -0,0 +1,25 @@
import { BaseMessageLike } from "@langchain/core/messages";
export const videoSearchPrompt = `
You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
Output only the rephrased query wrapped in an XML <query> element. Do not include any explanation or additional text.
`;
export const videoSearchFewShots: BaseMessageLike[] = [
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nHow does a car work?\n</follow_up>',
],
['assistant', '<query>How does a car work?</query>'],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nWhat is the theory of relativity?\n</follow_up>',
],
['assistant', '<query>Theory of relativity</query>'],
[
'user',
'<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
],
['assistant', '<query>AC working</query>'],
]

View File

@@ -0,0 +1,15 @@
export const suggestionGeneratorPrompt = `
You are an AI suggestion generator for an AI powered search engine. You will be given a conversation below. You need to generate 4-5 suggestions based on the conversation. The suggestion should be relevant to the conversation that can be used by the user to ask the chat model for more information.
You need to make sure the suggestions are relevant to the conversation and are helpful to the user. Keep a note that the user might use these suggestions to ask a chat model for more information.
Make sure the suggestions are medium in length and are informative and relevant to the conversation.
Provide these suggestions separated by newlines between the XML tags <suggestions> and </suggestions>. For example:
<suggestions>
Tell me more about SpaceX and their recent projects
What is the latest news on SpaceX?
Who is the CEO of SpaceX?
</suggestions>
Today's date is ${new Date().toISOString()}
`;