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18 Commits

Author SHA1 Message Date
b20ea70089 Your commit message describing the changes 2025-02-16 03:04:54 +04:00
5220abae05 LM Studio Integration:
- Added LM Studio provider with OpenAI-compatible API support
- Dynamic model discovery via /v1/models endpoint
- Support for both chat and embeddings models
- Docker-compatible networking configuration
- Thinking Model Panel:

Added collapsible UI panel for model's chain of thought
-Parses responses with tags to separate reasoning
-Maintains backward compatibility with regular responses
-Styled consistently with app theme for light/dark modes
-Preserves all existing message functionality (sources, markdown, etc.)

These improvements enhance the app's compatibility with local LLMs and provide better visibility into model reasoning processes while maintaining existing functionality.
2025-02-16 02:43:13 +04:00
9668056554 save current changes 2025-02-16 02:34:21 +04:00
1d6ab2c90c feat: Add LM Studio Support and Thinking Model Panel
LM Studio Integration:
- Added LM Studio provider with OpenAI-compatible API support
- Dynamic model discovery via /v1/models endpoint
- Support for both chat and embeddings models
- Docker-compatible networking configuration

Thinking Model Panel:
- Added collapsible UI panel for model's chain of thought
- Parses responses with <think> tags to separate reasoning
- Maintains backward compatibility with regular responses
- Styled consistently with app theme for light/dark modes
- Preserves all existing message functionality (sources, markdown, etc.)

These improvements enhance the app's compatibility with local LLMs and
provide better visibility into model reasoning processes while maintaining
existing functionality.
2025-02-16 02:33:45 +04:00
115e6b2a71 Merge branch 'master' of https://github.com/ItzCrazyKns/Perplexica 2025-02-15 12:52:30 +05:30
a5c79c92ed feat(settings): add embedding provider settings 2025-02-15 12:52:27 +05:30
db3cea446e Update UPDATING.md 2025-02-15 12:33:43 +05:30
8e683d266a feat(package): bump version 2025-02-15 12:12:57 +05:30
e9ab425cee feat(sample-config): remove unused field 2025-02-15 11:34:14 +05:30
811c0c6fe1 Merge branch 'master' of https://github.com/ItzCrazyKns/Perplexica 2025-02-15 11:31:20 +05:30
cab1aa705c feat(settings): add new settings page 2025-02-15 11:31:08 +05:30
5cbc512322 feat(app): add auto video & image search 2025-02-15 11:29:59 +05:30
41d056e755 feat(handlers): use new custom openai 2025-02-15 11:29:08 +05:30
07dc7d7649 feat(config): update config & custom openai 2025-02-15 11:26:38 +05:30
7ec201d011 Merge pull request #599 from data5650/patch-1
feat: add Gemini 2.0 Flash Exp models
2025-02-07 11:29:29 +05:30
3582695054 feat: add Gemini 2.0 Flash Exp models
# Description
   Added two new Gemini models:
   - gemini-2.0-flash-exp
   - gemini-2.0-flash-thinking-exp-01-21

   # Changes Made
   - Updated src/lib/providers/gemini.ts to include new models
   - Maintained consistent configuration with existing models

   # Testing
   - Tested locally using Docker
   - Verified models appear in UI and are selectable
   - Confirmed functionality with sample queries

   # Additional Notes
   These models expand the available options for users who want to use the latest Gemini capabilities.
2025-02-05 00:47:34 +01:00
46541e6c0c feat(package): update markdown-to-jsx version 2025-02-02 14:31:18 +05:30
f37686189e feat(output-parsers): add empty check 2025-01-31 17:51:16 +05:30
31 changed files with 8235 additions and 749 deletions

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@ -37,6 +37,7 @@ services:
args:
- NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
- NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
network: host
image: itzcrazykns1337/perplexica-frontend:main
depends_on:
- perplexica-backend

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@ -7,34 +7,43 @@ To update Perplexica to the latest version, follow these steps:
1. Clone the latest version of Perplexica from GitHub:
```bash
git clone https://github.com/ItzCrazyKns/Perplexica.git
git clone https://github.com/ItzCrazyKns/Perplexica.git
```
2. Navigate to the Project Directory.
2. Navigate to the project directory.
3. Pull latest images from registry.
3. Check for changes in the configuration files. If the `sample.config.toml` file contains new fields, delete your existing `config.toml` file, rename `sample.config.toml` to `config.toml`, and update the configuration accordingly.
4. Pull the latest images from the registry.
```bash
docker compose pull
```
4. Update and Recreate containers.
5. Update and recreate the containers.
```bash
docker compose up -d
```
5. Once the command completes running go to http://localhost:3000 and verify the latest changes.
6. Once the command completes, go to http://localhost:3000 and verify the latest changes.
## For non Docker users
## For non-Docker users
1. Clone the latest version of Perplexica from GitHub:
```bash
git clone https://github.com/ItzCrazyKns/Perplexica.git
git clone https://github.com/ItzCrazyKns/Perplexica.git
```
2. Navigate to the Project Directory
3. Execute `npm i` in both the `ui` folder and the root directory.
4. Once packages are updated, execute `npm run build` in both the `ui` folder and the root directory.
5. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
2. Navigate to the project directory.
3. Check for changes in the configuration files. If the `sample.config.toml` file contains new fields, delete your existing `config.toml` file, rename `sample.config.toml` to `config.toml`, and update the configuration accordingly.
4. Execute `npm i` in both the `ui` folder and the root directory.
5. Once the packages are updated, execute `npm run build` in both the `ui` folder and the root directory.
6. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
---

6912
package-lock.json generated Normal file

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@ -1,6 +1,6 @@
{
"name": "perplexica-backend",
"version": "1.10.0-rc2",
"version": "1.10.0-rc3",
"license": "MIT",
"author": "ItzCrazyKns",
"scripts": {

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@ -3,12 +3,28 @@ PORT = 3001 # Port to run the server on
SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
KEEP_ALIVE = "5m" # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m")
[API_KEYS]
OPENAI = "" # OpenAI API key - sk-1234567890abcdef1234567890abcdef
GROQ = "" # Groq API key - gsk_1234567890abcdef1234567890abcdef
ANTHROPIC = "" # Anthropic API key - sk-ant-1234567890abcdef1234567890abcdef
GEMINI = "" # Gemini API key - sk-1234567890abcdef1234567890abcdef
[MODELS.OPENAI]
API_KEY = ""
[MODELS.GROQ]
API_KEY = ""
[MODELS.ANTHROPIC]
API_KEY = ""
[MODELS.GEMINI]
API_KEY = ""
[MODELS.OLLAMA]
API_URL = "" # Ollama API URL - http://host.docker.internal:11434
[MODELS.LMSTUDIO]
API_URL = "" # LM STUDIO API URL - http://host.docker.internal:1234/v1
[MODELS.CUSTOM_OPENAI]
API_KEY = ""
API_URL = ""
MODEL_NAME = ""
[API_ENDPOINTS]
SEARXNG = "http://localhost:32768" # SearxNG API URL
OLLAMA = "" # Ollama API URL - http://host.docker.internal:11434
SEARXNG = "http://localhost:32768" # SearxNG API URL

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@ -10,15 +10,33 @@ interface Config {
SIMILARITY_MEASURE: string;
KEEP_ALIVE: string;
};
API_KEYS: {
OPENAI: string;
GROQ: string;
ANTHROPIC: string;
GEMINI: string;
MODELS: {
OPENAI: {
API_KEY: string;
};
GROQ: {
API_KEY: string;
};
ANTHROPIC: {
API_KEY: string;
};
GEMINI: {
API_KEY: string;
};
OLLAMA: {
API_URL: string;
};
LMSTUDIO: {
API_URL: string;
};
CUSTOM_OPENAI: {
API_URL: string;
API_KEY: string;
MODEL_NAME: string;
};
};
API_ENDPOINTS: {
SEARXNG: string;
OLLAMA: string;
};
}
@ -38,42 +56,63 @@ export const getSimilarityMeasure = () =>
export const getKeepAlive = () => loadConfig().GENERAL.KEEP_ALIVE;
export const getOpenaiApiKey = () => loadConfig().API_KEYS.OPENAI;
export const getOpenaiApiKey = () => loadConfig().MODELS.OPENAI.API_KEY;
export const getGroqApiKey = () => loadConfig().API_KEYS.GROQ;
export const getGroqApiKey = () => loadConfig().MODELS.GROQ.API_KEY;
export const getAnthropicApiKey = () => loadConfig().API_KEYS.ANTHROPIC;
export const getAnthropicApiKey = () => loadConfig().MODELS.ANTHROPIC.API_KEY;
export const getGeminiApiKey = () => loadConfig().API_KEYS.GEMINI;
export const getGeminiApiKey = () => loadConfig().MODELS.GEMINI.API_KEY;
export const getSearxngApiEndpoint = () =>
process.env.SEARXNG_API_URL || loadConfig().API_ENDPOINTS.SEARXNG;
export const getOllamaApiEndpoint = () => loadConfig().API_ENDPOINTS.OLLAMA;
export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
export const updateConfig = (config: RecursivePartial<Config>) => {
const currentConfig = loadConfig();
export const getLMStudioApiEndpoint = () => loadConfig().MODELS.LMSTUDIO.API_URL;
for (const key in currentConfig) {
if (!config[key]) config[key] = {};
export const getCustomOpenaiApiKey = () =>
loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;
if (typeof currentConfig[key] === 'object' && currentConfig[key] !== null) {
for (const nestedKey in currentConfig[key]) {
if (
!config[key][nestedKey] &&
currentConfig[key][nestedKey] &&
config[key][nestedKey] !== ''
) {
config[key][nestedKey] = currentConfig[key][nestedKey];
}
export const getCustomOpenaiApiUrl = () =>
loadConfig().MODELS.CUSTOM_OPENAI.API_URL;
export const getCustomOpenaiModelName = () =>
loadConfig().MODELS.CUSTOM_OPENAI.MODEL_NAME;
const mergeConfigs = (current: any, update: any): any => {
if (typeof current !== 'object' || current === null) {
return update;
}
const result = { ...current };
for (const key in update) {
if (Object.prototype.hasOwnProperty.call(update, key)) {
const updateValue = update[key];
if (
typeof updateValue === 'object' &&
updateValue !== null &&
typeof result[key] === 'object' &&
result[key] !== null
) {
result[key] = mergeConfigs(result[key], updateValue);
} else if (updateValue !== undefined) {
result[key] = updateValue;
}
} else if (currentConfig[key] && config[key] !== '') {
config[key] = currentConfig[key];
}
}
return result;
};
export const updateConfig = (config: RecursivePartial<Config>) => {
const currentConfig = loadConfig();
const mergedConfig = mergeConfigs(currentConfig, config);
fs.writeFileSync(
path.join(__dirname, `../${configFileName}`),
toml.stringify(config),
toml.stringify(mergedConfig),
);
};

1
src/lib/chat/service.ts Normal file
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@ -0,0 +1 @@

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@ -19,6 +19,8 @@ class LineOutputParser extends BaseOutputParser<string> {
lc_namespace = ['langchain', 'output_parsers', 'line_output_parser'];
async parse(text: string): Promise<string> {
text = text.trim() || '';
const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
const startKeyIndex = text.indexOf(`<${this.key}>`);
const endKeyIndex = text.indexOf(`</${this.key}>`);

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@ -19,11 +19,13 @@ class LineListOutputParser extends BaseOutputParser<string[]> {
lc_namespace = ['langchain', 'output_parsers', 'line_list_output_parser'];
async parse(text: string): Promise<string[]> {
text = text.trim() || '';
const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
const startKeyIndex = text.indexOf(`<${this.key}>`);
const endKeyIndex = text.indexOf(`</${this.key}>`);
if (startKeyIndex === -1 && endKeyIndex === -1) {
if (startKeyIndex === -1 || endKeyIndex === -1) {
return [];
}

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@ -36,6 +36,22 @@ export const loadGeminiChatModels = async () => {
apiKey: geminiApiKey,
}),
},
'gemini-2.0-flash-exp': {
displayName: 'Gemini 2.0 Flash Exp',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-2.0-flash-exp',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
'gemini-2.0-flash-thinking-exp-01-21': {
displayName: 'Gemini 2.0 Flash Thinking Exp 01-21',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-2.0-flash-thinking-exp-01-21',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
};
return chatModels;

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@ -4,6 +4,13 @@ import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
import { loadAnthropicChatModels } from './anthropic';
import { loadTransformersEmbeddingsModels } from './transformers';
import { loadGeminiChatModels, loadGeminiEmbeddingsModels } from './gemini';
import { loadLMStudioChatModels, loadLMStudioEmbeddingsModels } from './lmstudio';
import {
getCustomOpenaiApiKey,
getCustomOpenaiApiUrl,
getCustomOpenaiModelName,
} from '../../config';
import { ChatOpenAI } from '@langchain/openai';
const chatModelProviders = {
openai: loadOpenAIChatModels,
@ -11,6 +18,7 @@ const chatModelProviders = {
ollama: loadOllamaChatModels,
anthropic: loadAnthropicChatModels,
gemini: loadGeminiChatModels,
lm_studio: loadLMStudioChatModels,
};
const embeddingModelProviders = {
@ -18,6 +26,7 @@ const embeddingModelProviders = {
local: loadTransformersEmbeddingsModels,
ollama: loadOllamaEmbeddingsModels,
gemini: loadGeminiEmbeddingsModels,
lm_studio: loadLMStudioEmbeddingsModels,
};
export const getAvailableChatModelProviders = async () => {
@ -30,7 +39,27 @@ export const getAvailableChatModelProviders = async () => {
}
}
models['custom_openai'] = {};
const customOpenAiApiKey = getCustomOpenaiApiKey();
const customOpenAiApiUrl = getCustomOpenaiApiUrl();
const customOpenAiModelName = getCustomOpenaiModelName();
models['custom_openai'] = {
...(customOpenAiApiKey && customOpenAiApiUrl && customOpenAiModelName
? {
[customOpenAiModelName]: {
displayName: customOpenAiModelName,
model: new ChatOpenAI({
openAIApiKey: customOpenAiApiKey,
modelName: customOpenAiModelName,
temperature: 0.7,
configuration: {
baseURL: customOpenAiApiUrl,
},
}),
},
}
: {}),
};
return models;
};

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@ -0,0 +1,89 @@
import { OpenAIEmbeddings } from '@langchain/openai';
import { ChatOpenAI } from '@langchain/openai';
import { getKeepAlive, getLMStudioApiEndpoint } from '../../config';
import logger from '../../utils/logger';
import axios from 'axios';
interface LMStudioModel {
id: string;
// add other properties if LM Studio API provides them
}
interface ChatModelConfig {
displayName: string;
model: ChatOpenAI;
}
export const loadLMStudioChatModels = async (): Promise<Record<string, ChatModelConfig>> => {
const lmStudioEndpoint = getLMStudioApiEndpoint();
if (!lmStudioEndpoint) {
logger.debug('LM Studio endpoint not configured, skipping');
return {};
}
try {
const response = await axios.get<{ data: LMStudioModel[] }>(`${lmStudioEndpoint}/models`, {
headers: {
'Content-Type': 'application/json',
},
});
const lmStudioModels = response.data.data;
const chatModels = lmStudioModels.reduce<Record<string, ChatModelConfig>>((acc, model) => {
acc[model.id] = {
displayName: model.id,
model: new ChatOpenAI({
openAIApiKey: 'lm-studio',
configuration: {
baseURL: lmStudioEndpoint,
},
modelName: model.id,
temperature: 0.7,
}),
};
return acc;
}, {});
return chatModels;
} catch (err) {
logger.error(`Error loading LM Studio models: ${err}`);
return {};
}
};
export const loadLMStudioEmbeddingsModels = async () => {
const lmStudioEndpoint = getLMStudioApiEndpoint();
if (!lmStudioEndpoint) return {};
try {
const response = await axios.get(`${lmStudioEndpoint}/models`, {
headers: {
'Content-Type': 'application/json',
},
});
const lmStudioModels = response.data.data;
const embeddingsModels = lmStudioModels.reduce((acc, model) => {
acc[model.id] = {
displayName: model.id,
model: new OpenAIEmbeddings({
openAIApiKey: 'lm-studio', // Dummy key required by LangChain
configuration: {
baseURL: lmStudioEndpoint,
},
modelName: model.id,
}),
};
return acc;
}, {});
return embeddingsModels;
} catch (err) {
logger.error(`Error loading LM Studio embeddings model: ${err}`);
return {};
}
};

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@ -6,10 +6,14 @@ import {
import {
getGroqApiKey,
getOllamaApiEndpoint,
getLMStudioApiEndpoint,
getAnthropicApiKey,
getGeminiApiKey,
getOpenaiApiKey,
updateConfig,
getCustomOpenaiApiUrl,
getCustomOpenaiApiKey,
getCustomOpenaiModelName,
} from '../config';
import logger from '../utils/logger';
@ -51,9 +55,13 @@ router.get('/', async (_, res) => {
config['openaiApiKey'] = getOpenaiApiKey();
config['ollamaApiUrl'] = getOllamaApiEndpoint();
config['lmStudioApiUrl'] = getLMStudioApiEndpoint();
config['anthropicApiKey'] = getAnthropicApiKey();
config['groqApiKey'] = getGroqApiKey();
config['geminiApiKey'] = getGeminiApiKey();
config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
config['customOpenaiModelName'] = getCustomOpenaiModelName()
res.status(200).json(config);
} catch (err: any) {
@ -66,14 +74,30 @@ router.post('/', async (req, res) => {
const config = req.body;
const updatedConfig = {
API_KEYS: {
OPENAI: config.openaiApiKey,
GROQ: config.groqApiKey,
ANTHROPIC: config.anthropicApiKey,
GEMINI: config.geminiApiKey,
},
API_ENDPOINTS: {
OLLAMA: config.ollamaApiUrl,
MODELS: {
OPENAI: {
API_KEY: config.openaiApiKey,
},
GROQ: {
API_KEY: config.groqApiKey,
},
ANTHROPIC: {
API_KEY: config.anthropicApiKey,
},
GEMINI: {
API_KEY: config.geminiApiKey,
},
OLLAMA: {
API_URL: config.ollamaApiUrl,
},
LMSTUDIO: {
API_URL: config.lmStudioApiUrl,
},
CUSTOM_OPENAI: {
API_URL: config.customOpenaiApiUrl,
API_KEY: config.customOpenaiApiKey,
MODEL_NAME: config.customOpenaiModelName,
},
},
};

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@ -5,14 +5,17 @@ import { getAvailableChatModelProviders } from '../lib/providers';
import { HumanMessage, AIMessage } from '@langchain/core/messages';
import logger from '../utils/logger';
import { ChatOpenAI } from '@langchain/openai';
import {
getCustomOpenaiApiKey,
getCustomOpenaiApiUrl,
getCustomOpenaiModelName,
} from '../config';
const router = express.Router();
interface ChatModel {
provider: string;
model: string;
customOpenAIBaseURL?: string;
customOpenAIKey?: string;
}
interface ImageSearchBody {
@ -44,21 +47,12 @@ router.post('/', async (req, res) => {
let llm: BaseChatModel | undefined;
if (body.chatModel?.provider === 'custom_openai') {
if (
!body.chatModel?.customOpenAIBaseURL ||
!body.chatModel?.customOpenAIKey
) {
return res
.status(400)
.json({ message: 'Missing custom OpenAI base URL or key' });
}
llm = new ChatOpenAI({
modelName: body.chatModel.model,
openAIApiKey: body.chatModel.customOpenAIKey,
modelName: getCustomOpenaiModelName(),
openAIApiKey: getCustomOpenaiApiKey(),
temperature: 0.7,
configuration: {
baseURL: body.chatModel.customOpenAIBaseURL,
baseURL: getCustomOpenaiApiUrl(),
},
}) as unknown as BaseChatModel;
} else if (

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@ -10,14 +10,19 @@ import {
import { searchHandlers } from '../websocket/messageHandler';
import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
import { MetaSearchAgentType } from '../search/metaSearchAgent';
import {
getCustomOpenaiApiKey,
getCustomOpenaiApiUrl,
getCustomOpenaiModelName,
} from '../config';
const router = express.Router();
interface chatModel {
provider: string;
model: string;
customOpenAIBaseURL?: string;
customOpenAIKey?: string;
customOpenAIBaseURL?: string;
}
interface embeddingModel {
@ -78,21 +83,14 @@ router.post('/', async (req, res) => {
let embeddings: Embeddings | undefined;
if (body.chatModel?.provider === 'custom_openai') {
if (
!body.chatModel?.customOpenAIBaseURL ||
!body.chatModel?.customOpenAIKey
) {
return res
.status(400)
.json({ message: 'Missing custom OpenAI base URL or key' });
}
llm = new ChatOpenAI({
modelName: body.chatModel.model,
openAIApiKey: body.chatModel.customOpenAIKey,
modelName: body.chatModel?.model || getCustomOpenaiModelName(),
openAIApiKey:
body.chatModel?.customOpenAIKey || getCustomOpenaiApiKey(),
temperature: 0.7,
configuration: {
baseURL: body.chatModel.customOpenAIBaseURL,
baseURL:
body.chatModel?.customOpenAIBaseURL || getCustomOpenaiApiUrl(),
},
}) as unknown as BaseChatModel;
} else if (

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@ -5,14 +5,17 @@ import { getAvailableChatModelProviders } from '../lib/providers';
import { HumanMessage, AIMessage } from '@langchain/core/messages';
import logger from '../utils/logger';
import { ChatOpenAI } from '@langchain/openai';
import {
getCustomOpenaiApiKey,
getCustomOpenaiApiUrl,
getCustomOpenaiModelName,
} from '../config';
const router = express.Router();
interface ChatModel {
provider: string;
model: string;
customOpenAIBaseURL?: string;
customOpenAIKey?: string;
}
interface SuggestionsBody {
@ -43,21 +46,12 @@ router.post('/', async (req, res) => {
let llm: BaseChatModel | undefined;
if (body.chatModel?.provider === 'custom_openai') {
if (
!body.chatModel?.customOpenAIBaseURL ||
!body.chatModel?.customOpenAIKey
) {
return res
.status(400)
.json({ message: 'Missing custom OpenAI base URL or key' });
}
llm = new ChatOpenAI({
modelName: body.chatModel.model,
openAIApiKey: body.chatModel.customOpenAIKey,
modelName: getCustomOpenaiModelName(),
openAIApiKey: getCustomOpenaiApiKey(),
temperature: 0.7,
configuration: {
baseURL: body.chatModel.customOpenAIBaseURL,
baseURL: getCustomOpenaiApiUrl(),
},
}) as unknown as BaseChatModel;
} else if (

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@ -5,14 +5,17 @@ import { HumanMessage, AIMessage } from '@langchain/core/messages';
import logger from '../utils/logger';
import handleVideoSearch from '../chains/videoSearchAgent';
import { ChatOpenAI } from '@langchain/openai';
import {
getCustomOpenaiApiKey,
getCustomOpenaiApiUrl,
getCustomOpenaiModelName,
} from '../config';
const router = express.Router();
interface ChatModel {
provider: string;
model: string;
customOpenAIBaseURL?: string;
customOpenAIKey?: string;
}
interface VideoSearchBody {
@ -44,21 +47,12 @@ router.post('/', async (req, res) => {
let llm: BaseChatModel | undefined;
if (body.chatModel?.provider === 'custom_openai') {
if (
!body.chatModel?.customOpenAIBaseURL ||
!body.chatModel?.customOpenAIKey
) {
return res
.status(400)
.json({ message: 'Missing custom OpenAI base URL or key' });
}
llm = new ChatOpenAI({
modelName: body.chatModel.model,
openAIApiKey: body.chatModel.customOpenAIKey,
modelName: getCustomOpenaiModelName(),
openAIApiKey: getCustomOpenaiApiKey(),
temperature: 0.7,
configuration: {
baseURL: body.chatModel.customOpenAIBaseURL,
baseURL: getCustomOpenaiApiUrl(),
},
}) as unknown as BaseChatModel;
} else if (

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@ -9,6 +9,11 @@ import type { Embeddings } from '@langchain/core/embeddings';
import type { IncomingMessage } from 'http';
import logger from '../utils/logger';
import { ChatOpenAI } from '@langchain/openai';
import {
getCustomOpenaiApiKey,
getCustomOpenaiApiUrl,
getCustomOpenaiModelName,
} from '../config';
export const handleConnection = async (
ws: WebSocket,
@ -48,14 +53,20 @@ export const handleConnection = async (
llm = chatModelProviders[chatModelProvider][chatModel]
.model as unknown as BaseChatModel | undefined;
} else if (chatModelProvider == 'custom_openai') {
llm = new ChatOpenAI({
modelName: chatModel,
openAIApiKey: searchParams.get('openAIApiKey'),
temperature: 0.7,
configuration: {
baseURL: searchParams.get('openAIBaseURL'),
},
}) as unknown as BaseChatModel;
const customOpenaiApiKey = getCustomOpenaiApiKey();
const customOpenaiApiUrl = getCustomOpenaiApiUrl();
const customOpenaiModelName = getCustomOpenaiModelName();
if (customOpenaiApiKey && customOpenaiApiUrl && customOpenaiModelName) {
llm = new ChatOpenAI({
modelName: customOpenaiModelName,
openAIApiKey: customOpenaiApiKey,
temperature: 0.7,
configuration: {
baseURL: customOpenaiApiUrl,
},
}) as unknown as BaseChatModel;
}
}
if (

791
ui/app/settings/page.tsx Normal file
View File

@ -0,0 +1,791 @@
'use client';
import { Settings as SettingsIcon, ArrowLeft, Loader2 } from 'lucide-react';
import { useEffect, useState } from 'react';
import { cn } from '@/lib/utils';
import { Switch } from '@headlessui/react';
import ThemeSwitcher from '@/components/theme/Switcher';
import { ImagesIcon, VideoIcon } from 'lucide-react';
import Link from 'next/link';
interface SettingsType {
chatModelProviders: {
[key: string]: [Record<string, any>];
};
embeddingModelProviders: {
[key: string]: [Record<string, any>];
};
openaiApiKey: string;
groqApiKey: string;
anthropicApiKey: string;
geminiApiKey: string;
ollamaApiUrl: string;
customOpenaiApiKey: string;
customOpenaiApiUrl: string;
customOpenaiModelName: string;
}
interface InputProps extends React.InputHTMLAttributes<HTMLInputElement> {
isSaving?: boolean;
onSave?: (value: string) => void;
}
const Input = ({ className, isSaving, onSave, ...restProps }: InputProps) => {
return (
<div className="relative">
<input
{...restProps}
className={cn(
'bg-light-secondary dark:bg-dark-secondary w-full px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
isSaving && 'pr-10',
className,
)}
onBlur={(e) => onSave?.(e.target.value)}
/>
{isSaving && (
<div className="absolute right-3 top-1/2 -translate-y-1/2">
<Loader2
size={16}
className="animate-spin text-black/70 dark:text-white/70"
/>
</div>
)}
</div>
);
};
const Select = ({
className,
options,
...restProps
}: React.SelectHTMLAttributes<HTMLSelectElement> & {
options: { value: string; label: string; disabled?: boolean }[];
}) => {
return (
<select
{...restProps}
className={cn(
'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
className,
)}
>
{options.map(({ label, value, disabled }) => (
<option key={value} value={value} disabled={disabled}>
{label}
</option>
))}
</select>
);
};
const SettingsSection = ({
title,
children,
}: {
title: string;
children: React.ReactNode;
}) => (
<div className="flex flex-col space-y-4 p-4 bg-light-secondary/50 dark:bg-dark-secondary/50 rounded-xl border border-light-200 dark:border-dark-200">
<h2 className="text-black/90 dark:text-white/90 font-medium">{title}</h2>
{children}
</div>
);
const Page = () => {
const [config, setConfig] = useState<SettingsType | null>(null);
const [chatModels, setChatModels] = useState<Record<string, any>>({});
const [embeddingModels, setEmbeddingModels] = useState<Record<string, any>>(
{},
);
const [selectedChatModelProvider, setSelectedChatModelProvider] = useState<
string | null
>(null);
const [selectedChatModel, setSelectedChatModel] = useState<string | null>(
null,
);
const [selectedEmbeddingModelProvider, setSelectedEmbeddingModelProvider] =
useState<string | null>(null);
const [selectedEmbeddingModel, setSelectedEmbeddingModel] = useState<
string | null
>(null);
const [isLoading, setIsLoading] = useState(false);
const [automaticImageSearch, setAutomaticImageSearch] = useState(false);
const [automaticVideoSearch, setAutomaticVideoSearch] = useState(false);
const [savingStates, setSavingStates] = useState<Record<string, boolean>>({});
useEffect(() => {
const fetchConfig = async () => {
setIsLoading(true);
const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
headers: {
'Content-Type': 'application/json',
},
});
const data = (await res.json()) as SettingsType;
setConfig(data);
const chatModelProvidersKeys = Object.keys(data.chatModelProviders || {});
const embeddingModelProvidersKeys = Object.keys(
data.embeddingModelProviders || {},
);
const defaultChatModelProvider =
chatModelProvidersKeys.length > 0 ? chatModelProvidersKeys[0] : '';
const defaultEmbeddingModelProvider =
embeddingModelProvidersKeys.length > 0
? embeddingModelProvidersKeys[0]
: '';
const chatModelProvider =
localStorage.getItem('chatModelProvider') ||
defaultChatModelProvider ||
'';
const chatModel =
localStorage.getItem('chatModel') ||
(data.chatModelProviders &&
data.chatModelProviders[chatModelProvider]?.length > 0
? data.chatModelProviders[chatModelProvider][0].name
: undefined) ||
'';
const embeddingModelProvider =
localStorage.getItem('embeddingModelProvider') ||
defaultEmbeddingModelProvider ||
'';
const embeddingModel =
localStorage.getItem('embeddingModel') ||
(data.embeddingModelProviders &&
data.embeddingModelProviders[embeddingModelProvider]?.[0].name) ||
'';
setSelectedChatModelProvider(chatModelProvider);
setSelectedChatModel(chatModel);
setSelectedEmbeddingModelProvider(embeddingModelProvider);
setSelectedEmbeddingModel(embeddingModel);
setChatModels(data.chatModelProviders || {});
setEmbeddingModels(data.embeddingModelProviders || {});
setAutomaticImageSearch(
localStorage.getItem('autoImageSearch') === 'true',
);
setAutomaticVideoSearch(
localStorage.getItem('autoVideoSearch') === 'true',
);
setIsLoading(false);
};
fetchConfig();
}, []);
const saveConfig = async (key: string, value: any) => {
setSavingStates((prev) => ({ ...prev, [key]: true }));
try {
const updatedConfig = {
...config,
[key]: value,
} as SettingsType;
const response = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/config`,
{
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(updatedConfig),
},
);
if (!response.ok) {
throw new Error('Failed to update config');
}
setConfig(updatedConfig);
if (
key.toLowerCase().includes('api') ||
key.toLowerCase().includes('url')
) {
const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
headers: {
'Content-Type': 'application/json',
},
});
if (!res.ok) {
throw new Error('Failed to fetch updated config');
}
const data = await res.json();
setChatModels(data.chatModelProviders || {});
setEmbeddingModels(data.embeddingModelProviders || {});
const currentChatProvider = selectedChatModelProvider;
const newChatProviders = Object.keys(data.chatModelProviders || {});
if (!currentChatProvider && newChatProviders.length > 0) {
const firstProvider = newChatProviders[0];
const firstModel = data.chatModelProviders[firstProvider]?.[0]?.name;
if (firstModel) {
setSelectedChatModelProvider(firstProvider);
setSelectedChatModel(firstModel);
localStorage.setItem('chatModelProvider', firstProvider);
localStorage.setItem('chatModel', firstModel);
}
} else if (
currentChatProvider &&
(!data.chatModelProviders ||
!data.chatModelProviders[currentChatProvider] ||
!Array.isArray(data.chatModelProviders[currentChatProvider]) ||
data.chatModelProviders[currentChatProvider].length === 0)
) {
const firstValidProvider = Object.entries(
data.chatModelProviders || {},
).find(
([_, models]) => Array.isArray(models) && models.length > 0,
)?.[0];
if (firstValidProvider) {
setSelectedChatModelProvider(firstValidProvider);
setSelectedChatModel(
data.chatModelProviders[firstValidProvider][0].name,
);
localStorage.setItem('chatModelProvider', firstValidProvider);
localStorage.setItem(
'chatModel',
data.chatModelProviders[firstValidProvider][0].name,
);
} else {
setSelectedChatModelProvider(null);
setSelectedChatModel(null);
localStorage.removeItem('chatModelProvider');
localStorage.removeItem('chatModel');
}
}
const currentEmbeddingProvider = selectedEmbeddingModelProvider;
const newEmbeddingProviders = Object.keys(
data.embeddingModelProviders || {},
);
if (!currentEmbeddingProvider && newEmbeddingProviders.length > 0) {
const firstProvider = newEmbeddingProviders[0];
const firstModel =
data.embeddingModelProviders[firstProvider]?.[0]?.name;
if (firstModel) {
setSelectedEmbeddingModelProvider(firstProvider);
setSelectedEmbeddingModel(firstModel);
localStorage.setItem('embeddingModelProvider', firstProvider);
localStorage.setItem('embeddingModel', firstModel);
}
} else if (
currentEmbeddingProvider &&
(!data.embeddingModelProviders ||
!data.embeddingModelProviders[currentEmbeddingProvider] ||
!Array.isArray(
data.embeddingModelProviders[currentEmbeddingProvider],
) ||
data.embeddingModelProviders[currentEmbeddingProvider].length === 0)
) {
const firstValidProvider = Object.entries(
data.embeddingModelProviders || {},
).find(
([_, models]) => Array.isArray(models) && models.length > 0,
)?.[0];
if (firstValidProvider) {
setSelectedEmbeddingModelProvider(firstValidProvider);
setSelectedEmbeddingModel(
data.embeddingModelProviders[firstValidProvider][0].name,
);
localStorage.setItem('embeddingModelProvider', firstValidProvider);
localStorage.setItem(
'embeddingModel',
data.embeddingModelProviders[firstValidProvider][0].name,
);
} else {
setSelectedEmbeddingModelProvider(null);
setSelectedEmbeddingModel(null);
localStorage.removeItem('embeddingModelProvider');
localStorage.removeItem('embeddingModel');
}
}
setConfig(data);
}
if (key === 'automaticImageSearch') {
localStorage.setItem('autoImageSearch', value.toString());
} else if (key === 'automaticVideoSearch') {
localStorage.setItem('autoVideoSearch', value.toString());
} else if (key === 'chatModelProvider') {
localStorage.setItem('chatModelProvider', value);
} else if (key === 'chatModel') {
localStorage.setItem('chatModel', value);
} else if (key === 'embeddingModelProvider') {
localStorage.setItem('embeddingModelProvider', value);
} else if (key === 'embeddingModel') {
localStorage.setItem('embeddingModel', value);
}
} catch (err) {
console.error('Failed to save:', err);
setConfig((prev) => ({ ...prev! }));
} finally {
setTimeout(() => {
setSavingStates((prev) => ({ ...prev, [key]: false }));
}, 500);
}
};
return (
<div className="max-w-3xl mx-auto">
<div className="flex flex-col pt-4">
<div className="flex items-center space-x-2">
<Link href="/" className="lg:hidden">
<ArrowLeft className="text-black/70 dark:text-white/70" />
</Link>
<div className="flex flex-row space-x-0.5 items-center">
<SettingsIcon size={23} />
<h1 className="text-3xl font-medium p-2">Settings</h1>
</div>
</div>
<hr className="border-t border-[#2B2C2C] my-4 w-full" />
</div>
{isLoading ? (
<div className="flex flex-row items-center justify-center min-h-[50vh]">
<svg
aria-hidden="true"
className="w-8 h-8 text-light-200 fill-light-secondary dark:text-[#202020] animate-spin dark:fill-[#ffffff3b]"
viewBox="0 0 100 101"
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
<path
d="M100 50.5908C100.003 78.2051 78.1951 100.003 50.5908 100C22.9765 99.9972 0.997224 78.018 1 50.4037C1.00281 22.7993 22.8108 0.997224 50.4251 1C78.0395 1.00281 100.018 22.8108 100 50.4251ZM9.08164 50.594C9.06312 73.3997 27.7909 92.1272 50.5966 92.1457C73.4023 92.1642 92.1298 73.4365 92.1483 50.6308C92.1669 27.8251 73.4392 9.0973 50.6335 9.07878C27.8278 9.06026 9.10003 27.787 9.08164 50.594Z"
fill="currentColor"
/>
<path
d="M93.9676 39.0409C96.393 38.4037 97.8624 35.9116 96.9801 33.5533C95.1945 28.8227 92.871 24.3692 90.0681 20.348C85.6237 14.1775 79.4473 9.36872 72.0454 6.45794C64.6435 3.54717 56.3134 2.65431 48.3133 3.89319C45.869 4.27179 44.3768 6.77534 45.014 9.20079C45.6512 11.6262 48.1343 13.0956 50.5786 12.717C56.5073 11.8281 62.5542 12.5399 68.0406 14.7911C73.527 17.0422 78.2187 20.7487 81.5841 25.4923C83.7976 28.5886 85.4467 32.059 86.4416 35.7474C87.1273 38.1189 89.5423 39.6781 91.9676 39.0409Z"
fill="currentFill"
/>
</svg>
</div>
) : (
config && (
<div className="flex flex-col space-y-6 pb-28 lg:pb-8">
<SettingsSection title="Appearance">
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Theme
</p>
<ThemeSwitcher />
</div>
</SettingsSection>
<SettingsSection title="Automatic Search">
<div className="flex flex-col space-y-4">
<div className="flex items-center justify-between p-3 bg-light-secondary dark:bg-dark-secondary rounded-lg hover:bg-light-200 dark:hover:bg-dark-200 transition-colors">
<div className="flex items-center space-x-3">
<div className="p-2 bg-light-200 dark:bg-dark-200 rounded-lg">
<ImagesIcon
size={18}
className="text-black/70 dark:text-white/70"
/>
</div>
<div>
<p className="text-sm text-black/90 dark:text-white/90 font-medium">
Automatic Image Search
</p>
<p className="text-xs text-black/60 dark:text-white/60 mt-0.5">
Automatically search for relevant images in chat
responses
</p>
</div>
</div>
<Switch
checked={automaticImageSearch}
onChange={(checked) => {
setAutomaticImageSearch(checked);
saveConfig('automaticImageSearch', checked);
}}
className={cn(
automaticImageSearch
? 'bg-[#24A0ED]'
: 'bg-light-200 dark:bg-dark-200',
'relative inline-flex h-6 w-11 items-center rounded-full transition-colors focus:outline-none',
)}
>
<span
className={cn(
automaticImageSearch
? 'translate-x-6'
: 'translate-x-1',
'inline-block h-4 w-4 transform rounded-full bg-white transition-transform',
)}
/>
</Switch>
</div>
<div className="flex items-center justify-between p-3 bg-light-secondary dark:bg-dark-secondary rounded-lg hover:bg-light-200 dark:hover:bg-dark-200 transition-colors">
<div className="flex items-center space-x-3">
<div className="p-2 bg-light-200 dark:bg-dark-200 rounded-lg">
<VideoIcon
size={18}
className="text-black/70 dark:text-white/70"
/>
</div>
<div>
<p className="text-sm text-black/90 dark:text-white/90 font-medium">
Automatic Video Search
</p>
<p className="text-xs text-black/60 dark:text-white/60 mt-0.5">
Automatically search for relevant videos in chat
responses
</p>
</div>
</div>
<Switch
checked={automaticVideoSearch}
onChange={(checked) => {
setAutomaticVideoSearch(checked);
saveConfig('automaticVideoSearch', checked);
}}
className={cn(
automaticVideoSearch
? 'bg-[#24A0ED]'
: 'bg-light-200 dark:bg-dark-200',
'relative inline-flex h-6 w-11 items-center rounded-full transition-colors focus:outline-none',
)}
>
<span
className={cn(
automaticVideoSearch
? 'translate-x-6'
: 'translate-x-1',
'inline-block h-4 w-4 transform rounded-full bg-white transition-transform',
)}
/>
</Switch>
</div>
</div>
</SettingsSection>
<SettingsSection title="Model Settings">
{config.chatModelProviders && (
<div className="flex flex-col space-y-4">
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Chat Model Provider
</p>
<Select
value={selectedChatModelProvider ?? undefined}
onChange={(e) => {
const value = e.target.value;
setSelectedChatModelProvider(value);
saveConfig('chatModelProvider', value);
const firstModel =
config.chatModelProviders[value]?.[0]?.name;
if (firstModel) {
setSelectedChatModel(firstModel);
saveConfig('chatModel', firstModel);
}
}}
options={Object.keys(config.chatModelProviders).map(
(provider) => ({
value: provider,
label:
provider.charAt(0).toUpperCase() +
provider.slice(1),
}),
)}
/>
</div>
{selectedChatModelProvider &&
selectedChatModelProvider != 'custom_openai' && (
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Chat Model
</p>
<Select
value={selectedChatModel ?? undefined}
onChange={(e) => {
const value = e.target.value;
setSelectedChatModel(value);
saveConfig('chatModel', value);
}}
options={(() => {
const chatModelProvider =
config.chatModelProviders[
selectedChatModelProvider
];
return chatModelProvider
? chatModelProvider.length > 0
? chatModelProvider.map((model) => ({
value: model.name,
label: model.displayName,
}))
: [
{
value: '',
label: 'No models available',
disabled: true,
},
]
: [
{
value: '',
label:
'Invalid provider, please check backend logs',
disabled: true,
},
];
})()}
/>
</div>
)}
</div>
)}
{selectedChatModelProvider &&
selectedChatModelProvider === 'custom_openai' && (
<div className="flex flex-col space-y-4">
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Model Name
</p>
<Input
type="text"
placeholder="Model name"
defaultValue={config.customOpenaiModelName}
onChange={(e) =>
setConfig({
...config,
customOpenaiModelName: e.target.value,
})
}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Custom OpenAI API Key
</p>
<Input
type="text"
placeholder="Custom OpenAI API Key"
defaultValue={config.customOpenaiApiKey}
onChange={(e) =>
setConfig({
...config,
customOpenaiApiKey: e.target.value,
})
}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Custom OpenAI Base URL
</p>
<Input
type="text"
placeholder="Custom OpenAI Base URL"
defaultValue={config.customOpenaiApiUrl}
onChange={(e) =>
setConfig({
...config,
customOpenaiApiUrl: e.target.value,
})
}
/>
</div>
</div>
)}
{config.embeddingModelProviders && (
<div className="flex flex-col space-y-4 mt-4 pt-4 border-t border-light-200 dark:border-dark-200">
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Embedding Model Provider
</p>
<Select
value={selectedEmbeddingModelProvider ?? undefined}
onChange={(e) => {
const value = e.target.value;
setSelectedEmbeddingModelProvider(value);
saveConfig('embeddingModelProvider', value);
const firstModel =
config.embeddingModelProviders[value]?.[0]?.name;
if (firstModel) {
setSelectedEmbeddingModel(firstModel);
saveConfig('embeddingModel', firstModel);
}
}}
options={Object.keys(config.embeddingModelProviders).map(
(provider) => ({
value: provider,
label:
provider.charAt(0).toUpperCase() +
provider.slice(1),
}),
)}
/>
</div>
{selectedEmbeddingModelProvider && (
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Embedding Model
</p>
<Select
value={selectedEmbeddingModel ?? undefined}
onChange={(e) => {
const value = e.target.value;
setSelectedEmbeddingModel(value);
saveConfig('embeddingModel', value);
}}
options={(() => {
const embeddingModelProvider =
config.embeddingModelProviders[
selectedEmbeddingModelProvider
];
return embeddingModelProvider
? embeddingModelProvider.length > 0
? embeddingModelProvider.map((model) => ({
value: model.name,
label: model.displayName,
}))
: [
{
value: '',
label: 'No models available',
disabled: true,
},
]
: [
{
value: '',
label:
'Invalid provider, please check backend logs',
disabled: true,
},
];
})()}
/>
</div>
)}
</div>
)}
</SettingsSection>
<SettingsSection title="API Keys">
<div className="flex flex-col space-y-4">
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
OpenAI API Key
</p>
<Input
type="text"
placeholder="OpenAI API Key"
value={config.openaiApiKey}
isSaving={savingStates['openaiApiKey']}
onChange={(e) => {
setConfig((prev) => ({
...prev!,
openaiApiKey: e.target.value,
}));
}}
onSave={(value) => saveConfig('openaiApiKey', value)}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Ollama API URL
</p>
<Input
type="text"
placeholder="Ollama API URL"
value={config.ollamaApiUrl}
isSaving={savingStates['ollamaApiUrl']}
onChange={(e) => {
setConfig((prev) => ({
...prev!,
ollamaApiUrl: e.target.value,
}));
}}
onSave={(value) => saveConfig('ollamaApiUrl', value)}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
GROQ API Key
</p>
<Input
type="text"
placeholder="GROQ API Key"
value={config.groqApiKey}
isSaving={savingStates['groqApiKey']}
onChange={(e) => {
setConfig((prev) => ({
...prev!,
groqApiKey: e.target.value,
}));
}}
onSave={(value) => saveConfig('groqApiKey', value)}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Anthropic API Key
</p>
<Input
type="text"
placeholder="Anthropic API key"
value={config.anthropicApiKey}
isSaving={savingStates['anthropicApiKey']}
onChange={(e) => {
setConfig((prev) => ({
...prev!,
anthropicApiKey: e.target.value,
}));
}}
onSave={(value) => saveConfig('anthropicApiKey', value)}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Gemini API Key
</p>
<Input
type="text"
placeholder="Gemini API key"
value={config.geminiApiKey}
isSaving={savingStates['geminiApiKey']}
onChange={(e) => {
setConfig((prev) => ({
...prev!,
geminiApiKey: e.target.value,
}));
}}
onSave={(value) => saveConfig('geminiApiKey', value)}
/>
</div>
</div>
</SettingsSection>
</div>
)
)}
</div>
);
};
export default Page;

View File

@ -10,7 +10,7 @@ import { toast } from 'sonner';
import { useSearchParams } from 'next/navigation';
import { getSuggestions } from '@/lib/actions';
import { Settings } from 'lucide-react';
import SettingsDialog from './SettingsDialog';
import Link from 'next/link';
import NextError from 'next/error';
export type Message = {
@ -40,6 +40,7 @@ const useSocket = (
const isCleaningUpRef = useRef(false);
const MAX_RETRIES = 3;
const INITIAL_BACKOFF = 1000; // 1 second
const isConnectionErrorRef = useRef(false);
const getBackoffDelay = (retryCount: number) => {
return Math.min(INITIAL_BACKOFF * Math.pow(2, retryCount), 10000); // Cap at 10 seconds
@ -58,14 +59,17 @@ const useSocket = (
let embeddingModelProvider = localStorage.getItem(
'embeddingModelProvider',
);
let openAIBaseURL =
chatModelProvider === 'custom_openai'
? localStorage.getItem('openAIBaseURL')
: null;
let openAIPIKey =
chatModelProvider === 'custom_openai'
? localStorage.getItem('openAIApiKey')
: null;
const autoImageSearch = localStorage.getItem('autoImageSearch');
const autoVideoSearch = localStorage.getItem('autoVideoSearch');
if (!autoImageSearch) {
localStorage.setItem('autoImageSearch', 'true');
}
if (!autoVideoSearch) {
localStorage.setItem('autoVideoSearch', 'false');
}
const providers = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/models`,
@ -94,21 +98,13 @@ const useSocket = (
chatModelProvider =
chatModelProvider || Object.keys(chatModelProviders)[0];
if (chatModelProvider === 'custom_openai') {
toast.error(
'Seems like you are using the custom OpenAI provider, please open the settings and enter a model name to use.',
);
setError(true);
return;
} else {
chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
if (
!chatModelProviders ||
Object.keys(chatModelProviders).length === 0
)
return toast.error('No chat models available');
}
if (
!chatModelProviders ||
Object.keys(chatModelProviders).length === 0
)
return toast.error('No chat models available');
}
if (!embeddingModel || !embeddingModelProvider) {
@ -139,9 +135,7 @@ const useSocket = (
if (
Object.keys(chatModelProviders).length > 0 &&
(((!openAIBaseURL || !openAIPIKey) &&
chatModelProvider === 'custom_openai') ||
!chatModelProviders[chatModelProvider])
!chatModelProviders[chatModelProvider]
) {
const chatModelProvidersKeys = Object.keys(chatModelProviders);
chatModelProvider =
@ -149,23 +143,11 @@ const useSocket = (
(key) => Object.keys(chatModelProviders[key]).length > 0,
) || chatModelProvidersKeys[0];
if (
chatModelProvider === 'custom_openai' &&
(!openAIBaseURL || !openAIPIKey)
) {
toast.error(
'Seems like you are using the custom OpenAI provider, please open the settings and configure the API key and base URL',
);
setError(true);
return;
}
localStorage.setItem('chatModelProvider', chatModelProvider);
}
if (
chatModelProvider &&
(!openAIBaseURL || !openAIPIKey) &&
!chatModelProviders[chatModelProvider][chatModel]
) {
chatModel = Object.keys(
@ -251,6 +233,8 @@ const useSocket = (
console.debug(new Date(), 'ws:connected');
}
if (data.type === 'error') {
isConnectionErrorRef.current = true;
setError(true);
toast.error(data.data);
}
});
@ -265,7 +249,7 @@ const useSocket = (
clearTimeout(timeoutId);
setIsWSReady(false);
console.debug(new Date(), 'ws:disconnected');
if (!isCleaningUpRef.current) {
if (!isCleaningUpRef.current && !isConnectionErrorRef.current) {
toast.error('Connection lost. Attempting to reconnect...');
attemptReconnect();
}
@ -595,6 +579,17 @@ const ChatWindow = ({ id }: { id?: string }) => {
}),
);
}
const autoImageSearch = localStorage.getItem('autoImageSearch');
const autoVideoSearch = localStorage.getItem('autoVideoSearch');
if (autoImageSearch === 'true') {
document.getElementById('search-images')?.click();
}
if (autoVideoSearch === 'true') {
document.getElementById('search-videos')?.click();
}
}
};
@ -629,17 +624,15 @@ const ChatWindow = ({ id }: { id?: string }) => {
return (
<div className="relative">
<div className="absolute w-full flex flex-row items-center justify-end mr-5 mt-5">
<Settings
className="cursor-pointer lg:hidden"
onClick={() => setIsSettingsOpen(true)}
/>
<Link href="/settings">
<Settings className="cursor-pointer lg:hidden" />
</Link>
</div>
<div className="flex flex-col items-center justify-center min-h-screen">
<p className="dark:text-white/70 text-black/70 text-sm">
Failed to connect to the server. Please try again later.
</p>
</div>
<SettingsDialog isOpen={isSettingsOpen} setIsOpen={setIsSettingsOpen} />
</div>
);
}

View File

@ -1,8 +1,8 @@
import { Settings } from 'lucide-react';
import EmptyChatMessageInput from './EmptyChatMessageInput';
import SettingsDialog from './SettingsDialog';
import { useState } from 'react';
import { File } from './ChatWindow';
import Link from 'next/link';
const EmptyChat = ({
sendMessage,
@ -29,12 +29,10 @@ const EmptyChat = ({
return (
<div className="relative">
<SettingsDialog isOpen={isSettingsOpen} setIsOpen={setIsSettingsOpen} />
<div className="absolute w-full flex flex-row items-center justify-end mr-5 mt-5">
<Settings
className="cursor-pointer lg:hidden"
onClick={() => setIsSettingsOpen(true)}
/>
<Link href="/settings">
<Settings className="cursor-pointer lg:hidden" />
</Link>
</div>
<div className="flex flex-col items-center justify-center min-h-screen max-w-screen-sm mx-auto p-2 space-y-8">
<h2 className="text-black/70 dark:text-white/70 text-3xl font-medium -mt-8">

View File

@ -11,6 +11,8 @@ import {
StopCircle,
Layers3,
Plus,
Brain,
ChevronDown,
} from 'lucide-react';
import Markdown from 'markdown-to-jsx';
import Copy from './MessageActions/Copy';
@ -41,26 +43,58 @@ const MessageBox = ({
}) => {
const [parsedMessage, setParsedMessage] = useState(message.content);
const [speechMessage, setSpeechMessage] = useState(message.content);
const [thinking, setThinking] = useState<string>('');
const [answer, setAnswer] = useState<string>('');
const [isThinkingExpanded, setIsThinkingExpanded] = useState(false);
useEffect(() => {
const regex = /\[(\d+)\]/g;
const thinkRegex = /<think>(.*?)(?:<\/think>|$)(.*)/s;
if (
message.role === 'assistant' &&
message?.sources &&
message.sources.length > 0
) {
return setParsedMessage(
message.content.replace(
regex,
(_, number) =>
`<a href="${message.sources?.[number - 1]?.metadata?.url}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${number}</a>`,
),
);
// Check for thinking content, including partial tags
const match = message.content.match(thinkRegex);
if (match) {
const [_, thinkingContent, answerContent] = match;
// Set thinking content even if </think> hasn't appeared yet
if (thinkingContent) {
setThinking(thinkingContent.trim());
setIsThinkingExpanded(true); // Auto-expand when thinking starts
}
// Only set answer content if we have it (after </think>)
if (answerContent) {
setAnswer(answerContent.trim());
// Process the answer part for sources if needed
if (message.role === 'assistant' && message?.sources && message.sources.length > 0) {
setParsedMessage(
answerContent.trim().replace(
regex,
(_, number) =>
`<a href="${message.sources?.[number - 1]?.metadata?.url}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${number}</a>`,
),
);
} else {
setParsedMessage(answerContent.trim());
}
setSpeechMessage(answerContent.trim().replace(regex, ''));
}
} else {
// No thinking content - process as before
if (message.role === 'assistant' && message?.sources && message.sources.length > 0) {
setParsedMessage(
message.content.replace(
regex,
(_, number) =>
`<a href="${message.sources?.[number - 1]?.metadata?.url}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${number}</a>`,
),
);
} else {
setParsedMessage(message.content);
}
setSpeechMessage(message.content.replace(regex, ''));
}
setSpeechMessage(message.content.replace(regex, ''));
setParsedMessage(message.content);
}, [message.content, message.sources, message.role]);
const { speechStatus, start, stop } = useSpeech({ text: speechMessage });
@ -92,27 +126,71 @@ const MessageBox = ({
<MessageSources sources={message.sources} />
</div>
)}
<div className="flex flex-col space-y-2">
<div className="flex flex-row items-center space-x-2">
<Disc3
className={cn(
'text-black dark:text-white',
isLast && loading ? 'animate-spin' : 'animate-none',
<div className="flex flex-col space-y-4">
{thinking && (
<div className="flex flex-col space-y-2 mb-4">
<button
onClick={() => setIsThinkingExpanded(!isThinkingExpanded)}
className="flex flex-row items-center space-x-2 group text-black/70 dark:text-white/70 hover:text-black dark:hover:text-white transition duration-200"
>
<Brain size={20} />
<h3 className="font-medium text-xl">Reasoning</h3>
<ChevronDown
size={16}
className={cn(
"transition-transform duration-200",
isThinkingExpanded ? "rotate-180" : ""
)}
/>
</button>
{isThinkingExpanded && (
<div className="rounded-lg bg-light-secondary/50 dark:bg-dark-secondary/50 p-4">
{thinking.split('\n\n').map((paragraph, index) => {
if (!paragraph.trim()) return null;
const content = paragraph.replace(/^[•\-\d.]\s*/, '');
return (
<div key={index} className="mb-2 last:mb-0">
<details className="group [&_summary::-webkit-details-marker]:hidden">
<summary className="flex items-center cursor-pointer list-none text-sm text-black/70 dark:text-white/70 hover:text-black dark:hover:text-white">
<span className="arrow mr-2 inline-block transition-transform duration-200 group-open:rotate-90 group-open:self-start group-open:mt-1"></span>
<p className="relative whitespace-normal line-clamp-1 group-open:line-clamp-none after:content-['...'] after:inline group-open:after:hidden transition-all duration-200 text-ellipsis overflow-hidden group-open:overflow-visible">
{content}
</p>
</summary>
</details>
</div>
);
})}
</div>
)}
size={20}
/>
<h3 className="text-black dark:text-white font-medium text-xl">
Answer
</h3>
</div>
)}
<div className="flex flex-col space-y-2">
<div className="flex flex-row items-center space-x-2">
<Disc3
className={cn(
'text-black dark:text-white',
isLast && loading ? 'animate-spin' : 'animate-none',
)}
size={20}
/>
<h3 className="text-black dark:text-white font-medium text-xl">
Answer
</h3>
</div>
<Markdown
className={cn(
'prose prose-h1:mb-3 prose-h2:mb-2 prose-h2:mt-6 prose-h2:font-[800] prose-h3:mt-4 prose-h3:mb-1.5 prose-h3:font-[600] dark:prose-invert prose-p:leading-relaxed prose-pre:p-0 font-[400]',
'max-w-none break-words text-black dark:text-white',
)}
>
{parsedMessage}
</Markdown>
</div>
<Markdown
className={cn(
'prose prose-h1:mb-3 prose-h2:mb-2 prose-h2:mt-6 prose-h2:font-[800] prose-h3:mt-4 prose-h3:mb-1.5 prose-h3:font-[600] dark:prose-invert prose-p:leading-relaxed prose-pre:p-0 font-[400]',
'max-w-none break-words text-black dark:text-white',
)}
>
{parsedMessage}
</Markdown>
{loading && isLast ? null : (
<div className="flex flex-row items-center justify-between w-full text-black dark:text-white py-4 -mx-2">
<div className="flex flex-row items-center space-x-1">

View File

@ -27,6 +27,7 @@ const SearchImages = ({
<>
{!loading && images === null && (
<button
id="search-images"
onClick={async () => {
setLoading(true);

View File

@ -42,6 +42,7 @@ const Searchvideos = ({
<>
{!loading && videos === null && (
<button
id="search-videos"
onClick={async () => {
setLoading(true);

View File

@ -1,528 +0,0 @@
import { cn } from '@/lib/utils';
import {
Dialog,
DialogPanel,
DialogTitle,
Transition,
TransitionChild,
} from '@headlessui/react';
import { CloudUpload, RefreshCcw, RefreshCw } from 'lucide-react';
import React, {
Fragment,
useEffect,
useState,
type SelectHTMLAttributes,
} from 'react';
import ThemeSwitcher from './theme/Switcher';
interface InputProps extends React.InputHTMLAttributes<HTMLInputElement> {}
const Input = ({ className, ...restProps }: InputProps) => {
return (
<input
{...restProps}
className={cn(
'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
className,
)}
/>
);
};
interface SelectProps extends SelectHTMLAttributes<HTMLSelectElement> {
options: { value: string; label: string; disabled?: boolean }[];
}
export const Select = ({ className, options, ...restProps }: SelectProps) => {
return (
<select
{...restProps}
className={cn(
'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
className,
)}
>
{options.map(({ label, value, disabled }) => {
return (
<option key={value} value={value} disabled={disabled}>
{label}
</option>
);
})}
</select>
);
};
interface SettingsType {
chatModelProviders: {
[key: string]: [Record<string, any>];
};
embeddingModelProviders: {
[key: string]: [Record<string, any>];
};
openaiApiKey: string;
groqApiKey: string;
anthropicApiKey: string;
geminiApiKey: string;
ollamaApiUrl: string;
}
const SettingsDialog = ({
isOpen,
setIsOpen,
}: {
isOpen: boolean;
setIsOpen: (isOpen: boolean) => void;
}) => {
const [config, setConfig] = useState<SettingsType | null>(null);
const [chatModels, setChatModels] = useState<Record<string, any>>({});
const [embeddingModels, setEmbeddingModels] = useState<Record<string, any>>(
{},
);
const [selectedChatModelProvider, setSelectedChatModelProvider] = useState<
string | null
>(null);
const [selectedChatModel, setSelectedChatModel] = useState<string | null>(
null,
);
const [selectedEmbeddingModelProvider, setSelectedEmbeddingModelProvider] =
useState<string | null>(null);
const [selectedEmbeddingModel, setSelectedEmbeddingModel] = useState<
string | null
>(null);
const [customOpenAIApiKey, setCustomOpenAIApiKey] = useState<string>('');
const [customOpenAIBaseURL, setCustomOpenAIBaseURL] = useState<string>('');
const [isLoading, setIsLoading] = useState(false);
const [isUpdating, setIsUpdating] = useState(false);
useEffect(() => {
if (isOpen) {
const fetchConfig = async () => {
setIsLoading(true);
const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
headers: {
'Content-Type': 'application/json',
},
});
const data = (await res.json()) as SettingsType;
setConfig(data);
const chatModelProvidersKeys = Object.keys(
data.chatModelProviders || {},
);
const embeddingModelProvidersKeys = Object.keys(
data.embeddingModelProviders || {},
);
const defaultChatModelProvider =
chatModelProvidersKeys.length > 0 ? chatModelProvidersKeys[0] : '';
const defaultEmbeddingModelProvider =
embeddingModelProvidersKeys.length > 0
? embeddingModelProvidersKeys[0]
: '';
const chatModelProvider =
localStorage.getItem('chatModelProvider') ||
defaultChatModelProvider ||
'';
const chatModel =
localStorage.getItem('chatModel') ||
(data.chatModelProviders &&
data.chatModelProviders[chatModelProvider]?.length > 0
? data.chatModelProviders[chatModelProvider][0].name
: undefined) ||
'';
const embeddingModelProvider =
localStorage.getItem('embeddingModelProvider') ||
defaultEmbeddingModelProvider ||
'';
const embeddingModel =
localStorage.getItem('embeddingModel') ||
(data.embeddingModelProviders &&
data.embeddingModelProviders[embeddingModelProvider]?.[0].name) ||
'';
setSelectedChatModelProvider(chatModelProvider);
setSelectedChatModel(chatModel);
setSelectedEmbeddingModelProvider(embeddingModelProvider);
setSelectedEmbeddingModel(embeddingModel);
setCustomOpenAIApiKey(localStorage.getItem('openAIApiKey') || '');
setCustomOpenAIBaseURL(localStorage.getItem('openAIBaseURL') || '');
setChatModels(data.chatModelProviders || {});
setEmbeddingModels(data.embeddingModelProviders || {});
setIsLoading(false);
};
fetchConfig();
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [isOpen]);
const handleSubmit = async () => {
setIsUpdating(true);
try {
await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(config),
});
localStorage.setItem('chatModelProvider', selectedChatModelProvider!);
localStorage.setItem('chatModel', selectedChatModel!);
localStorage.setItem(
'embeddingModelProvider',
selectedEmbeddingModelProvider!,
);
localStorage.setItem('embeddingModel', selectedEmbeddingModel!);
localStorage.setItem('openAIApiKey', customOpenAIApiKey!);
localStorage.setItem('openAIBaseURL', customOpenAIBaseURL!);
} catch (err) {
console.log(err);
} finally {
setIsUpdating(false);
setIsOpen(false);
window.location.reload();
}
};
return (
<Transition appear show={isOpen} as={Fragment}>
<Dialog
as="div"
className="relative z-50"
onClose={() => setIsOpen(false)}
>
<TransitionChild
as={Fragment}
enter="ease-out duration-300"
enterFrom="opacity-0"
enterTo="opacity-100"
leave="ease-in duration-200"
leaveFrom="opacity-100"
leaveTo="opacity-0"
>
<div className="fixed inset-0 bg-white/50 dark:bg-black/50" />
</TransitionChild>
<div className="fixed inset-0 overflow-y-auto">
<div className="flex min-h-full items-center justify-center p-4 text-center">
<TransitionChild
as={Fragment}
enter="ease-out duration-200"
enterFrom="opacity-0 scale-95"
enterTo="opacity-100 scale-100"
leave="ease-in duration-100"
leaveFrom="opacity-100 scale-200"
leaveTo="opacity-0 scale-95"
>
<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
</DialogTitle>
{config && !isLoading && (
<div className="flex flex-col space-y-4 mt-6">
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Theme
</p>
<ThemeSwitcher />
</div>
{config.chatModelProviders && (
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Chat model Provider
</p>
<Select
value={selectedChatModelProvider ?? undefined}
onChange={(e) => {
setSelectedChatModelProvider(e.target.value);
if (e.target.value === 'custom_openai') {
setSelectedChatModel('');
} else {
setSelectedChatModel(
config.chatModelProviders[e.target.value][0]
.name,
);
}
}}
options={Object.keys(config.chatModelProviders).map(
(provider) => ({
value: provider,
label:
provider.charAt(0).toUpperCase() +
provider.slice(1),
}),
)}
/>
</div>
)}
{selectedChatModelProvider &&
selectedChatModelProvider != 'custom_openai' && (
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Chat Model
</p>
<Select
value={selectedChatModel ?? undefined}
onChange={(e) =>
setSelectedChatModel(e.target.value)
}
options={(() => {
const chatModelProvider =
config.chatModelProviders[
selectedChatModelProvider
];
return chatModelProvider
? chatModelProvider.length > 0
? chatModelProvider.map((model) => ({
value: model.name,
label: model.displayName,
}))
: [
{
value: '',
label: 'No models available',
disabled: true,
},
]
: [
{
value: '',
label:
'Invalid provider, please check backend logs',
disabled: true,
},
];
})()}
/>
</div>
)}
{selectedChatModelProvider &&
selectedChatModelProvider === 'custom_openai' && (
<>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Model name
</p>
<Input
type="text"
placeholder="Model name"
defaultValue={selectedChatModel!}
onChange={(e) =>
setSelectedChatModel(e.target.value)
}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Custom OpenAI API Key
</p>
<Input
type="text"
placeholder="Custom OpenAI API Key"
defaultValue={customOpenAIApiKey!}
onChange={(e) =>
setCustomOpenAIApiKey(e.target.value)
}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Custom OpenAI Base URL
</p>
<Input
type="text"
placeholder="Custom OpenAI Base URL"
defaultValue={customOpenAIBaseURL!}
onChange={(e) =>
setCustomOpenAIBaseURL(e.target.value)
}
/>
</div>
</>
)}
{/* Embedding models */}
{config.embeddingModelProviders && (
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Embedding model Provider
</p>
<Select
value={selectedEmbeddingModelProvider ?? undefined}
onChange={(e) => {
setSelectedEmbeddingModelProvider(e.target.value);
setSelectedEmbeddingModel(
config.embeddingModelProviders[e.target.value][0]
.name,
);
}}
options={Object.keys(
config.embeddingModelProviders,
).map((provider) => ({
label:
provider.charAt(0).toUpperCase() +
provider.slice(1),
value: provider,
}))}
/>
</div>
)}
{selectedEmbeddingModelProvider && (
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Embedding Model
</p>
<Select
value={selectedEmbeddingModel ?? undefined}
onChange={(e) =>
setSelectedEmbeddingModel(e.target.value)
}
options={(() => {
const embeddingModelProvider =
config.embeddingModelProviders[
selectedEmbeddingModelProvider
];
return embeddingModelProvider
? embeddingModelProvider.length > 0
? embeddingModelProvider.map((model) => ({
label: model.displayName,
value: model.name,
}))
: [
{
label: 'No embedding models available',
value: '',
disabled: true,
},
]
: [
{
label:
'Invalid provider, please check backend logs',
value: '',
disabled: true,
},
];
})()}
/>
</div>
)}
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
OpenAI API Key
</p>
<Input
type="text"
placeholder="OpenAI API Key"
defaultValue={config.openaiApiKey}
onChange={(e) =>
setConfig({
...config,
openaiApiKey: e.target.value,
})
}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Ollama API URL
</p>
<Input
type="text"
placeholder="Ollama API URL"
defaultValue={config.ollamaApiUrl}
onChange={(e) =>
setConfig({
...config,
ollamaApiUrl: e.target.value,
})
}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
GROQ API Key
</p>
<Input
type="text"
placeholder="GROQ API Key"
defaultValue={config.groqApiKey}
onChange={(e) =>
setConfig({
...config,
groqApiKey: e.target.value,
})
}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Anthropic API Key
</p>
<Input
type="text"
placeholder="Anthropic API key"
defaultValue={config.anthropicApiKey}
onChange={(e) =>
setConfig({
...config,
anthropicApiKey: e.target.value,
})
}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Gemini API Key
</p>
<Input
type="text"
placeholder="Gemini API key"
defaultValue={config.geminiApiKey}
onChange={(e) =>
setConfig({
...config,
geminiApiKey: e.target.value,
})
}
/>
</div>
</div>
)}
{isLoading && (
<div className="w-full flex items-center justify-center mt-6 text-black/70 dark:text-white/70 py-6">
<RefreshCcw className="animate-spin" />
</div>
)}
<div className="w-full mt-6 space-y-2">
<p className="text-xs text-black/50 dark:text-white/50">
We&apos;ll refresh the page after updating the settings.
</p>
<button
onClick={handleSubmit}
className="bg-[#24A0ED] flex flex-row items-center space-x-2 text-white disabled:text-white/50 hover:bg-opacity-85 transition duration-100 disabled:bg-[#ececec21] rounded-full px-4 py-2"
disabled={isLoading || isUpdating}
>
{isUpdating ? (
<RefreshCw size={20} className="animate-spin" />
) : (
<CloudUpload size={20} />
)}
</button>
</div>
</DialogPanel>
</TransitionChild>
</div>
</div>
</Dialog>
</Transition>
);
};
export default SettingsDialog;

View File

@ -6,7 +6,6 @@ import Link from 'next/link';
import { useSelectedLayoutSegments } from 'next/navigation';
import React, { useState, type ReactNode } from 'react';
import Layout from './Layout';
import SettingsDialog from './SettingsDialog';
const VerticalIconContainer = ({ children }: { children: ReactNode }) => {
return (
@ -67,15 +66,9 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
))}
</VerticalIconContainer>
<Settings
onClick={() => setIsSettingsOpen(!isSettingsOpen)}
className="cursor-pointer"
/>
<SettingsDialog
isOpen={isSettingsOpen}
setIsOpen={setIsSettingsOpen}
/>
<Link href="/settings">
<Settings className="cursor-pointer" />
</Link>
</div>
</div>

View File

@ -1,8 +1,7 @@
'use client';
import { useTheme } from 'next-themes';
import { SunIcon, MoonIcon, MonitorIcon } from 'lucide-react';
import { useCallback, useEffect, useState } from 'react';
import { Select } from '../SettingsDialog';
import Select from '../ui/Select';
type Theme = 'dark' | 'light' | 'system';

View File

@ -0,0 +1,28 @@
import { cn } from '@/lib/utils';
import { SelectHTMLAttributes } from 'react';
interface SelectProps extends SelectHTMLAttributes<HTMLSelectElement> {
options: { value: string; label: string; disabled?: boolean }[];
}
export const Select = ({ className, options, ...restProps }: SelectProps) => {
return (
<select
{...restProps}
className={cn(
'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
className,
)}
>
{options.map(({ label, value, disabled }) => {
return (
<option key={value} value={value} disabled={disabled}>
{label}
</option>
);
})}
</select>
);
};
export default Select;

View File

@ -1,6 +1,6 @@
{
"name": "perplexica-frontend",
"version": "1.10.0-rc2",
"version": "1.10.0-rc3",
"license": "MIT",
"author": "ItzCrazyKns",
"scripts": {
@ -18,7 +18,7 @@
"clsx": "^2.1.0",
"langchain": "^0.1.30",
"lucide-react": "^0.363.0",
"markdown-to-jsx": "^7.6.2",
"markdown-to-jsx": "^7.7.2",
"next": "14.1.4",
"next-themes": "^0.3.0",
"react": "^18",

View File

@ -1,5 +1,6 @@
{
"compilerOptions": {
"target": "es2018",
"lib": ["dom", "dom.iterable", "esnext"],
"allowJs": true,
"skipLibCheck": true,

View File

@ -2210,10 +2210,10 @@ lucide-react@^0.363.0:
resolved "https://registry.yarnpkg.com/lucide-react/-/lucide-react-0.363.0.tgz#2bb1f9d09b830dda86f5118fcd097f87247fe0e3"
integrity sha512-AlsfPCsXQyQx7wwsIgzcKOL9LwC498LIMAo+c0Es5PkHJa33xwmYAkkSoKoJWWWSYQEStqu58/jT4tL2gi32uQ==
markdown-to-jsx@^7.6.2:
version "7.6.2"
resolved "https://registry.yarnpkg.com/markdown-to-jsx/-/markdown-to-jsx-7.6.2.tgz#254cbf7d412a37073486c0a2dd52266d2191a793"
integrity sha512-gEcyiJXzBxmId2Y/kydLbD6KRNccDiUy/Src1cFGn3s2X0LZZ/hUiEc2VisFyA5kUE3SXclTCczjQiAuqKZiFQ==
markdown-to-jsx@^7.7.2:
version "7.7.2"
resolved "https://registry.yarnpkg.com/markdown-to-jsx/-/markdown-to-jsx-7.7.2.tgz#59c1dd64f48b53719311ab140be3cd51cdabccd3"
integrity sha512-N3AKfYRvxNscvcIH6HDnDKILp4S8UWbebp+s92Y8SwIq0CuSbLW4Jgmrbjku3CWKjTQO0OyIMS6AhzqrwjEa3g==
md5@^2.3.0:
version "2.3.0"