58 Commits

Author SHA1 Message Date
ItzCrazyKns
61dfeb89b4 feat(package): bump version 2024-07-30 10:10:55 +05:30
ItzCrazyKns
8e4f0c6a6d feat(web-search): add URL & PDF searching capibilities 2024-07-30 10:09:05 +05:30
ItzCrazyKns
6f50e25bf3 feat(output-parsers): add line output parser 2024-07-30 10:08:29 +05:30
ItzCrazyKns
9abb4b654d feat(app): handle unhandled exception & rejection 2024-07-30 10:07:28 +05:30
ItzCrazyKns
0a29237732 feat(listLineOutputParser): handle invalid keys 2024-07-30 10:06:52 +05:30
ItzCrazyKns
c62e7f091e feat(package): bump version 2024-07-25 20:39:43 +05:30
ItzCrazyKns
08379fcad5 feat(ws-connector): fix undefined chat model 2024-07-25 20:36:26 +05:30
ItzCrazyKns
cbce39a5dd feat(settings): fix undefined model for custom OpenAI 2024-07-25 20:34:49 +05:30
ItzCrazyKns
27f8cfd212 feat(toast): fix theme colors 2024-07-25 20:33:56 +05:30
ItzCrazyKns
8a76f92e23 feat(groq): add Llama 3.1 2024-07-23 20:49:17 +05:30
ItzCrazyKns
00a52fc3b1 Delete .github/FUNDING.yml 2024-07-23 10:46:32 +05:30
ItzCrazyKns
8143eca2c1 feat(readme): remove patreon 2024-07-23 10:45:52 +05:30
ItzCrazyKns
9bb0b64044 Merge pull request #279 from zandko/perf/filter-first
perf: Optimize document filtering and sorting for performance
2024-07-23 10:08:54 +05:30
Zan
323f3c516c perf: Optimize document filtering and sorting for performance 2024-07-23 10:06:33 +08:00
ItzCrazyKns
c0b3a409dd feat(package): bump version 2024-07-20 09:27:34 +05:30
ItzCrazyKns
9195cbcce0 feat(openai): add GPT-4 Omni mini 2024-07-20 09:26:46 +05:30
ItzCrazyKns
f02393dbe9 feat(providers): add anthropic 2024-07-15 21:20:16 +05:30
ItzCrazyKns
e1732b9bf2 feat(chat-window): fix WS connection errors 2024-07-14 12:37:36 +05:30
sjiampojamarn
fac41d3812 add gemma2-9b-it 2024-07-13 20:20:23 -07:00
ItzCrazyKns
27e6f5b9e1 feat(chat-window): unselect unavailable model 2024-07-09 16:21:45 +05:30
ItzCrazyKns
8539ce82ad feat(providers): fix loading issues 2024-07-08 15:39:27 +05:30
ItzCrazyKns
3b4b8a8b02 feat(providers): add custom_openai 2024-07-08 15:24:45 +05:30
ItzCrazyKns
3ffb20b777 feat(backend): fix type errors 2024-07-08 01:31:11 +05:30
ItzCrazyKns
f4b58c7157 feat(dockerfile): revert base image back to slim 2024-07-06 15:13:05 +05:30
ItzCrazyKns
2678c36e44 feat(agents): fix grammar in prompt, closes 239 & 203 2024-07-06 15:12:51 +05:30
ItzCrazyKns
25b5dbd63e feat(providers): separate each provider 2024-07-06 14:19:33 +05:30
ItzCrazyKns
c63c9b5c8a feat(readme): update ollama guide 2024-07-03 21:02:21 +05:30
ItzCrazyKns
80818983d8 feat(package): bump version 2024-07-03 20:49:13 +05:30
ItzCrazyKns
5217d21366 feat(dockerfile): revert to node:slim 2024-07-03 20:47:31 +05:30
ItzCrazyKns
57ede99b83 Merge branch 'master' of https://github.com/ItzCrazyKns/Perplexica 2024-07-02 10:52:02 +05:30
ItzCrazyKns
c74e16e01c feat(chats): add delete functionality 2024-07-02 10:51:47 +05:30
ItzCrazyKns
ce593daab9 Update README.md 2024-06-30 12:39:37 +05:30
ItzCrazyKns
fcf9b644af Create FUNDING.yml 2024-06-30 12:34:32 +05:30
ItzCrazyKns
6ae825999a feat(readme): update manual install 2024-06-30 10:45:35 +05:30
ItzCrazyKns
b291265944 feat(package): add @langchain/community 2024-06-30 10:42:01 +05:30
ItzCrazyKns
c62684407d feat(chat-window): handle notFound errors 2024-06-29 12:11:34 +05:30
ItzCrazyKns
f4b01a29bb feat(docs): update docs 2024-06-29 11:39:23 +05:30
ItzCrazyKns
022cf55db7 feat(docs): add update docs 2024-06-29 11:38:43 +05:30
ItzCrazyKns
aeef03fbaf feat(readme): update todo 2024-06-29 11:17:43 +05:30
ItzCrazyKns
9588eed710 feat(package): bump version 2024-06-29 11:17:29 +05:30
ItzCrazyKns
7d2344dc85 feat(chats): remove comment 2024-06-29 11:11:10 +05:30
ItzCrazyKns
799f4d6aee feat(docker-compose): implement data volume 2024-06-29 11:10:26 +05:30
ItzCrazyKns
c51ec8ff0f feat(app): implement library feature 2024-06-29 11:09:51 +05:30
ItzCrazyKns
61044715e9 feat(msg-handler): update message types 2024-06-29 11:09:31 +05:30
ItzCrazyKns
d806c7e581 feat(app): add chats route 2024-06-29 11:09:13 +05:30
ItzCrazyKns
93b90dc1c4 feat(db): create schema & config files 2024-06-29 11:08:11 +05:30
ItzCrazyKns
7879167b13 feat(package): add better-sqlite3 2024-06-29 11:07:52 +05:30
ItzCrazyKns
f7d1364f30 feat(discover): remove unadded page 2024-06-28 09:34:40 +05:30
ItzCrazyKns
91bba8eaca feat(utils): accept string in time difference 2024-06-28 09:34:03 +05:30
ItzCrazyKns
4545ff1d7d feat(chat-window): adjust color & size 2024-06-25 16:11:39 +05:30
asifrahaman13
a152e58132 🎉 wip: implemented error state for backend socket connection and othe 2024-06-25 15:43:36 +05:30
ItzCrazyKns
9d827d4cc2 feat(package): update WS module 2024-06-24 21:34:14 +05:30
ItzCrazyKns
336ceefe2b feat(readme): update connection error docs 2024-06-23 14:36:15 +05:30
ItzCrazyKns
9a96fd4788 feat(message-input): focus on / key 2024-06-23 10:46:22 +05:30
ItzCrazyKns
87cc86d406 feat(package): bump version 2024-06-23 09:55:25 +05:30
ItzCrazyKns
5fd64ef6e6 Merge pull request #168 from WanQuanXie/fix-ui-compile-type-error
fix(ui): ui compile fail
2024-06-23 09:42:07 +05:30
WanQuanXie
594106aea3 update(ui): remove useless imports 2024-06-07 16:39:14 +08:00
WanQuanXie
2ae5846b3d fix(ui): ui compile fail
remove both of them, a new feature is coming soon -  mobile device support setting navbar
2024-06-03 18:54:12 +08:00
54 changed files with 2186 additions and 355 deletions

6
.gitignore vendored
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@ -6,6 +6,7 @@ yarn-error.log
# Build output
/.next/
/out/
/dist/
# IDE/Editor specific
.vscode/
@ -31,4 +32,7 @@ logs/
# Miscellaneous
.DS_Store
Thumbs.db
Thumbs.db
# Db
db.sqlite

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@ -10,7 +10,7 @@
- [Installation](#installation)
- [Getting Started with Docker (Recommended)](#getting-started-with-docker-recommended)
- [Non-Docker Installation](#non-docker-installation)
- [Ollama connection errors](#ollama-connection-errors)
- [Ollama Connection Errors](#ollama-connection-errors)
- [Using as a Search Engine](#using-as-a-search-engine)
- [One-Click Deployment](#one-click-deployment)
- [Upcoming Features](#upcoming-features)
@ -67,7 +67,8 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
- `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**.
- `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
- `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**
- `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**.
- `ANTHROPIC`: Your Anthropic API key. **You only need to fill this if you wish to use Anthropic models**.
**Note**: You can change these after starting Perplexica from the settings dialog.
@ -85,25 +86,35 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
### Non-Docker Installation
1. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file.
2. Rename the `.env.example` file to `.env` in the `ui` folder and fill in all necessary fields.
3. After populating the configuration and environment files, run `npm i` in both the `ui` folder and the root directory.
4. Install the dependencies and then 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.
1. Install SearXNG and allow `JSON` format in the SearXNG settings.
2. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file.
3. Rename the `.env.example` file to `.env` in the `ui` folder and fill in all necessary fields.
4. After populating the configuration and environment files, run `npm i` in both the `ui` folder and the root directory.
5. Install the dependencies and then 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.
**Note**: Using Docker is recommended as it simplifies the setup process, especially for managing environment variables and dependencies.
See the [installation documentation](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/installation) for more information like exposing it your network, etc.
### Ollama connection errors
### Ollama Connection Errors
If you're facing an Ollama connection error, it is often related to the backend not being able to connect to Ollama's API. How can you fix it? You can fix it by updating your Ollama API URL in the settings menu to the following:
If you're encountering an Ollama connection error, it is likely due to the backend being unable to connect to Ollama's API. To fix this issue you can:
On Windows: `http://host.docker.internal:11434`<br>
On Mac: `http://host.docker.internal:11434`<br>
On Linux: `http://private_ip_of_computer_hosting_ollama:11434`
1. **Check your Ollama API URL:** Ensure that the API URL is correctly set in the settings menu.
2. **Update API URL Based on OS:**
You need to edit the ports accordingly.
- **Windows:** Use `http://host.docker.internal:11434`
- **Mac:** Use `http://host.docker.internal:11434`
- **Linux:** Use `http://<private_ip_of_host>:11434`
Adjust the port number if you're using a different one.
3. **Linux Users - Expose Ollama to Network:**
- Inside `/etc/systemd/system/ollama.service`, you need to add `Environment="OLLAMA_HOST=0.0.0.0"`. Then restart Ollama by `systemctl restart ollama`. For more information see [Ollama docs](https://github.com/ollama/ollama/blob/main/docs/faq.md#setting-environment-variables-on-linux)
- Ensure that the port (default is 11434) is not blocked by your firewall.
## Using as a Search Engine
@ -120,11 +131,12 @@ If you wish to use Perplexica as an alternative to traditional search engines li
## Upcoming Features
- [ ] Finalizing Copilot Mode
- [x] Add settings page
- [x] Adding support for local LLMs
- [ ] Adding Discover and History Saving features
- [x] History Saving features
- [x] Introducing various Focus Modes
- [ ] Finalizing Copilot Mode
- [ ] Adding Discover
## Support Us
@ -132,11 +144,11 @@ If you find Perplexica useful, consider giving us a star on GitHub. This helps m
### Donations
We also accept donations to help sustain our project. If you would like to contribute, you can use the following button to make a donation in cryptocurrency. Thank you for your support!
We also accept donations to help sustain our project. If you would like to contribute, you can use the following options to donate. Thank you for your support!
<a href="https://nowpayments.io/donation?api_key=RFFKJH1-GRR4DQG-HFV1DZP-00G6MMK&source=lk_donation&medium=referral" target="_blank">
<img src="https://nowpayments.io/images/embeds/donation-button-white.svg" alt="Crypto donation button by NOWPayments">
</a>
| Ethereum |
| ----------------------------------------------------- |
| Address: `0xB025a84b2F269570Eb8D4b05DEdaA41D8525B6DD` |
## Contribution

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@ -1,4 +1,4 @@
FROM node:buster-slim
FROM node:slim
ARG SEARXNG_API_URL
@ -7,12 +7,15 @@ WORKDIR /home/perplexica
COPY src /home/perplexica/src
COPY tsconfig.json /home/perplexica/
COPY config.toml /home/perplexica/
COPY drizzle.config.ts /home/perplexica/
COPY package.json /home/perplexica/
COPY yarn.lock /home/perplexica/
RUN sed -i "s|SEARXNG = \".*\"|SEARXNG = \"${SEARXNG_API_URL}\"|g" /home/perplexica/config.toml
RUN yarn install
RUN mkdir /home/perplexica/data
RUN yarn install
RUN yarn build
CMD ["yarn", "start"]

2
data/.gitignore vendored Normal file
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@ -0,0 +1,2 @@
*
!.gitignore

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@ -19,8 +19,10 @@ services:
- searxng
ports:
- 3001:3001
volumes:
- backend-dbstore:/home/perplexica/data
extra_hosts:
- "host.docker.internal:host-gateway"
- 'host.docker.internal:host-gateway'
networks:
- perplexica-network
restart: unless-stopped
@ -42,3 +44,6 @@ services:
networks:
perplexica-network:
volumes:
backend-dbstore:

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@ -0,0 +1,34 @@
# Update Perplexica to the latest version
To update Perplexica to the latest version, follow these steps:
## For Docker users
1. Clone the latest version of Perplexica from GitHub:
```bash
git clone https://github.com/ItzCrazyKns/Perplexica.git
```
2. Navigate to the Project Directory
3. Update and Rebuild Docker Containers:
```bash
docker compose up -d --build
```
4. Once the command completes running go to http://localhost:3000 and verify the latest changes.
## For non Docker users
1. Clone the latest version of Perplexica from GitHub:
```bash
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.

10
drizzle.config.ts Normal file
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@ -0,0 +1,10 @@
import { defineConfig } from 'drizzle-kit';
export default defineConfig({
dialect: 'sqlite',
schema: './src/db/schema.ts',
out: './drizzle',
dbCredentials: {
url: './data/db.sqlite',
},
});

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@ -1,19 +1,24 @@
{
"name": "perplexica-backend",
"version": "1.6.0",
"version": "1.9.0-rc1",
"license": "MIT",
"author": "ItzCrazyKns",
"scripts": {
"start": "node dist/app.js",
"start": "npm run db:push && node dist/app.js",
"build": "tsc",
"dev": "nodemon src/app.ts",
"db:push": "drizzle-kit push sqlite",
"format": "prettier . --check",
"format:write": "prettier . --write"
},
"devDependencies": {
"@types/better-sqlite3": "^7.6.10",
"@types/cors": "^2.8.17",
"@types/express": "^4.17.21",
"@types/html-to-text": "^9.0.4",
"@types/pdf-parse": "^1.1.4",
"@types/readable-stream": "^4.0.11",
"drizzle-kit": "^0.22.7",
"nodemon": "^3.1.0",
"prettier": "^3.2.5",
"ts-node": "^10.9.2",
@ -21,17 +26,23 @@
},
"dependencies": {
"@iarna/toml": "^2.2.5",
"@langchain/anthropic": "^0.2.3",
"@langchain/community": "^0.2.16",
"@langchain/openai": "^0.0.25",
"@xenova/transformers": "^2.17.1",
"axios": "^1.6.8",
"better-sqlite3": "^11.0.0",
"compute-cosine-similarity": "^1.1.0",
"compute-dot": "^1.1.0",
"cors": "^2.8.5",
"dotenv": "^16.4.5",
"drizzle-orm": "^0.31.2",
"express": "^4.19.2",
"html-to-text": "^9.0.5",
"langchain": "^0.1.30",
"pdf-parse": "^1.1.1",
"winston": "^3.13.0",
"ws": "^8.16.0",
"ws": "^8.17.1",
"zod": "^3.22.4"
}
}

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@ -5,6 +5,7 @@ SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
[API_KEYS]
OPENAI = "" # OpenAI API key - sk-1234567890abcdef1234567890abcdef
GROQ = "" # Groq API key - gsk_1234567890abcdef1234567890abcdef
ANTHROPIC = "" # Anthropic API key - sk-ant-1234567890abcdef1234567890abcdef
[API_ENDPOINTS]
SEARXNG = "http://localhost:32768" # SearxNG API URL

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@ -44,7 +44,7 @@ Rephrased question:
const basicAcademicSearchResponsePrompt = `
You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Academic', this means you will be searching for academic papers and articles on the web.
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@ -52,7 +52,7 @@ const basicAcademicSearchResponsePrompt = `
Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
Aything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
Anything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
talk about the context in your response.
<context>

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@ -44,7 +44,7 @@ Rephrased question:
const basicRedditSearchResponsePrompt = `
You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Reddit', this means you will be searching for information, opinions and discussions on the web using Reddit.
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@ -52,8 +52,8 @@ const basicRedditSearchResponsePrompt = `
Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
Aything inside the following \`context\` HTML block provided below is for your knowledge returned by Reddit and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
talk about the context in your response.
Anything inside the following \`context\` HTML block provided below is for your knowledge returned by Reddit and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
talk about the context in your response.
<context>
{context}
@ -177,9 +177,9 @@ const createBasicRedditSearchAnsweringChain = (
});
const sortedDocs = similarity
.filter((sim) => sim.similarity > 0.3)
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.filter((sim) => sim.similarity > 0.3)
.map((sim) => docsWithContent[sim.index]);
return sortedDocs;

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@ -47,7 +47,7 @@ const generateSuggestions = (
input: SuggestionGeneratorInput,
llm: BaseChatModel,
) => {
(llm as ChatOpenAI).temperature = 0;
(llm as unknown as ChatOpenAI).temperature = 0;
const suggestionGeneratorChain = createSuggestionGeneratorChain(llm);
return suggestionGeneratorChain.invoke(input);
};

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@ -19,20 +19,47 @@ import formatChatHistoryAsString from '../utils/formatHistory';
import eventEmitter from 'events';
import computeSimilarity from '../utils/computeSimilarity';
import logger from '../utils/logger';
import LineListOutputParser from '../lib/outputParsers/listLineOutputParser';
import { getDocumentsFromLinks } from '../lib/linkDocument';
import LineOutputParser from '../lib/outputParsers/lineOutputParser';
const basicSearchRetrieverPrompt = `
You will be given a conversation below and a follow up question. You need to rephrase the follow-up question if needed so it is a standalone question that can be used by the LLM to search the web for information.
If it is a writing task or a simple hi, hello rather than a question, you need to return \`not_needed\` as the response.
If the question contains some links and asks to answer from those links or even if they don't you need to return the links inside 'links' XML block and the question inside 'question' XML block. If there are no links then you need to return the question without any XML block.
If the user asks to summarrize the content from some links you need to return \`Summarize\` as the question inside the 'question' XML block and the links inside the 'links' XML block.
Example:
1. Follow up question: What is the capital of France?
Rephrased: Capital of france
Rephrased question: \`Capital of france\`
2. Follow up question: What is the population of New York City?
Rephrased: Population of New York City
Rephrased question: \`Population of New York City\`
3. Follow up question: What is Docker?
Rephrased: What is Docker
Rephrased question: \`What is Docker\`
4. Follow up question: Can you tell me what is X from https://example.com
Rephrased question: \`
<question>
Can you tell me what is X?
</question>
<links>
https://example.com
</links>
\`
5. Follow up question: Summarize the content from https://example.com
Rephrased question: \`
<question>
Summarize
</question>
<links>
https://example.com
</links>
\`
Conversation:
{chat_history}
@ -42,24 +69,26 @@ Rephrased question:
`;
const basicWebSearchResponsePrompt = `
You are Perplexica, an AI model who is expert at searching the web and answering user's queries.
You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are also an expert at summarizing web pages or documents and searching for content in them.
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
If the query contains some links and the user asks to answer from those links you will be provided the entire content of the page inside the \`context\` XML block. You can then use this content to answer the user's query.
If the user asks to summarize content from some links, you will be provided the entire content of the page inside the \`context\` XML block. You can then use this content to summarize the text. The content provided inside the \`context\` block will be already summarized by another model so you just need to use that content to answer the user's query.
Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
You have to cite the answer using [number] notation. You must cite the sentences with their relevent context number. You must cite each and every part of the answer so the user can know where the information is coming from.
Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
Aything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
talk about the context in your response.
Anything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
talk about the context in your response.
<context>
{context}
</context>
If you think there's nothing relevant in the search results, you can say that 'Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?'.
If you think there's nothing relevant in the search results, you can say that 'Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?'. You do not need to do this for summarization tasks.
Anything between the \`context\` is retrieved from a search engine and is not a part of the conversation with the user. Today's date is ${new Date().toISOString()}
`;
@ -112,23 +141,100 @@ const createBasicWebSearchRetrieverChain = (llm: BaseChatModel) => {
return { query: '', docs: [] };
}
const res = await searchSearxng(input, {
language: 'en',
const linksOutputParser = new LineListOutputParser({
key: 'links',
});
const documents = res.results.map(
(result) =>
new Document({
pageContent: result.content,
metadata: {
title: result.title,
url: result.url,
...(result.img_src && { img_src: result.img_src }),
},
}),
);
const questionOutputParser = new LineOutputParser({
key: 'question',
});
return { query: input, docs: documents };
const links = await linksOutputParser.parse(input);
let question = await questionOutputParser.parse(input);
if (links.length > 0) {
if (question.length === 0) {
question = 'Summarize';
}
let docs = []
const linkDocs = await getDocumentsFromLinks({ links });
const docGroups: Document[] = [];
linkDocs.map((doc) => {
const URLDocExists = docGroups.find((d) => d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10);
if (!URLDocExists) {
docGroups.push({
...doc,
metadata: {
...doc.metadata,
totalDocs: 1
}
});
}
const docIndex = docGroups.findIndex((d) => d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10);
if (docIndex !== -1) {
docGroups[docIndex].pageContent = docGroups[docIndex].pageContent + `\n\n` + doc.pageContent;
docGroups[docIndex].metadata.totalDocs += 1;
}
})
await Promise.all(docGroups.map(async (doc) => {
const res = await llm.invoke(`
You are a text summarizer. You need to summarize the text provided inside the \`text\` XML block.
You need to summarize the text into 1 or 2 sentences capturing the main idea of the text.
You need to make sure that you don't miss any point while summarizing the text.
You will also be given a \`query\` XML block which will contain the query of the user. Try to answer the query in the summary from the text provided.
If the query says Summarize then you just need to summarize the text without answering the query.
Only return the summarized text without any other messages, text or XML block.
<query>
${question}
</query>
<text>
${doc.pageContent}
</text>
Make sure to answer the query in the summary.
`);
const document = new Document({
pageContent: res.content as string,
metadata: {
title: doc.metadata.title,
url: doc.metadata.url,
},
})
docs.push(document)
}))
return { query: question, docs: docs };
} else {
const res = await searchSearxng(input, {
language: 'en',
});
const documents = res.results.map(
(result) =>
new Document({
pageContent: result.content,
metadata: {
title: result.title,
url: result.url,
...(result.img_src && { img_src: result.img_src }),
},
}),
);
return { query: input, docs: documents };
}
}),
]);
};
@ -156,6 +262,10 @@ const createBasicWebSearchAnsweringChain = (
return docs;
}
if (query === 'Summarize') {
return docs;
}
const docsWithContent = docs.filter(
(doc) => doc.pageContent && doc.pageContent.length > 0,
);
@ -175,8 +285,8 @@ const createBasicWebSearchAnsweringChain = (
});
const sortedDocs = similarity
.sort((a, b) => b.similarity - a.similarity)
.filter((sim) => sim.similarity > 0.5)
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.map((sim) => docsWithContent[sim.index]);

View File

@ -43,7 +43,7 @@ Rephrased question:
const basicWolframAlphaSearchResponsePrompt = `
You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Wolfram Alpha', this means you will be searching for information on the web using Wolfram Alpha. It is a computational knowledge engine that can answer factual queries and perform computations.
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@ -51,7 +51,7 @@ const basicWolframAlphaSearchResponsePrompt = `
Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
Aything inside the following \`context\` HTML block provided below is for your knowledge returned by Wolfram Alpha and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
Anything inside the following \`context\` HTML block provided below is for your knowledge returned by Wolfram Alpha and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
talk about the context in your response.
<context>

View File

@ -44,7 +44,7 @@ Rephrased question:
const basicYoutubeSearchResponsePrompt = `
You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Youtube', this means you will be searching for videos on the web using Youtube and providing information based on the video's transcript.
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@ -52,8 +52,8 @@ const basicYoutubeSearchResponsePrompt = `
Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
Aything inside the following \`context\` HTML block provided below is for your knowledge returned by Youtube and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
talk about the context in your response.
Anything inside the following \`context\` HTML block provided below is for your knowledge returned by Youtube and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
talk about the context in your response.
<context>
{context}
@ -177,9 +177,9 @@ const createBasicYoutubeSearchAnsweringChain = (
});
const sortedDocs = similarity
.filter((sim) => sim.similarity > 0.3)
.sort((a, b) => b.similarity - a.similarity)
.slice(0, 15)
.filter((sim) => sim.similarity > 0.3)
.map((sim) => docsWithContent[sim.index]);
return sortedDocs;

View File

@ -28,3 +28,11 @@ server.listen(port, () => {
});
startWebSocketServer(server);
process.on('uncaughtException', (err, origin) => {
logger.error(`Uncaught Exception at ${origin}: ${err}`)
})
process.on('unhandledRejection', (reason, promise) => {
logger.error(`Unhandled Rejection at: ${promise}, reason: ${reason}`)
})

View File

@ -12,6 +12,7 @@ interface Config {
API_KEYS: {
OPENAI: string;
GROQ: string;
ANTHROPIC: string;
};
API_ENDPOINTS: {
SEARXNG: string;
@ -37,6 +38,8 @@ export const getOpenaiApiKey = () => loadConfig().API_KEYS.OPENAI;
export const getGroqApiKey = () => loadConfig().API_KEYS.GROQ;
export const getAnthropicApiKey = () => loadConfig().API_KEYS.ANTHROPIC;
export const getSearxngApiEndpoint = () => loadConfig().API_ENDPOINTS.SEARXNG;
export const getOllamaApiEndpoint = () => loadConfig().API_ENDPOINTS.OLLAMA;

10
src/db/index.ts Normal file
View File

@ -0,0 +1,10 @@
import { drizzle } from 'drizzle-orm/better-sqlite3';
import Database from 'better-sqlite3';
import * as schema from './schema';
const sqlite = new Database('data/db.sqlite');
const db = drizzle(sqlite, {
schema: schema,
});
export default db;

19
src/db/schema.ts Normal file
View File

@ -0,0 +1,19 @@
import { text, integer, sqliteTable } from 'drizzle-orm/sqlite-core';
export const messages = sqliteTable('messages', {
id: integer('id').primaryKey(),
content: text('content').notNull(),
chatId: text('chatId').notNull(),
messageId: text('messageId').notNull(),
role: text('type', { enum: ['assistant', 'user'] }),
metadata: text('metadata', {
mode: 'json',
}),
});
export const chats = sqliteTable('chats', {
id: text('id').primaryKey(),
title: text('title').notNull(),
createdAt: text('createdAt').notNull(),
focusMode: text('focusMode').notNull(),
});

81
src/lib/linkDocument.ts Normal file
View File

@ -0,0 +1,81 @@
import axios from 'axios';
import { htmlToText } from 'html-to-text'
import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter';
import { Document } from '@langchain/core/documents';
import pdfParse from 'pdf-parse'
export const getDocumentsFromLinks = async ({ links }: { links: string[] }) => {
const splitter = new RecursiveCharacterTextSplitter();
let docs: Document[] = [];
await Promise.all(
links.map(async (link) => {
link =
link.startsWith('http://') || link.startsWith('https://')
? link
: `https://${link}`;
const res = await axios.get(link, {
responseType: 'arraybuffer',
});
const isPdf = res.headers['content-type'] === 'application/pdf';
if (isPdf) {
const pdfText = await pdfParse(res.data)
const parsedText = pdfText.text
.replace(/(\r\n|\n|\r)/gm, ' ')
.replace(/\s+/g, ' ')
.trim();
const splittedText = await splitter.splitText(parsedText);
const title = 'PDF Document'
const linkDocs = splittedText.map((text) => {
return new Document({
pageContent: text,
metadata: {
title: title,
url: link,
},
});
});
docs.push(...linkDocs);
return;
}
const parsedText = htmlToText(res.data.toString('utf8'), {
selectors: [
{
selector: 'a',
options: {
ignoreHref: true,
}
},
]
})
.replace(/(\r\n|\n|\r)/gm, ' ')
.replace(/\s+/g, ' ')
.trim();
const splittedText = await splitter.splitText(parsedText);
const title = res.data.toString('utf8').match(/<title>(.*?)<\/title>/)?.[1];
const linkDocs = splittedText.map((text) => {
return new Document({
pageContent: text,
metadata: {
title: title || link,
url: link,
},
});
});
docs.push(...linkDocs);
}),
);
return docs;
};

View File

@ -0,0 +1,46 @@
import { BaseOutputParser } from '@langchain/core/output_parsers';
interface LineOutputParserArgs {
key?: string;
}
class LineOutputParser extends BaseOutputParser<string> {
private key = 'questions';
constructor(args?: LineOutputParserArgs) {
super();
this.key = args.key ?? this.key;
}
static lc_name() {
return 'LineOutputParser';
}
lc_namespace = ['langchain', 'output_parsers', 'line_output_parser'];
async parse(text: string): Promise<string> {
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) {
return '';
}
const questionsStartIndex =
startKeyIndex === -1 ? 0 : startKeyIndex + `<${this.key}>`.length;
const questionsEndIndex = endKeyIndex === -1 ? text.length : endKeyIndex;
const line = text
.slice(questionsStartIndex, questionsEndIndex)
.trim()
.replace(regex, '');
return line;
}
getFormatInstructions(): string {
throw new Error('Not implemented.');
}
}
export default LineOutputParser;

View File

@ -22,6 +22,11 @@ class LineListOutputParser extends BaseOutputParser<string[]> {
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) {
return [];
}
const questionsStartIndex =
startKeyIndex === -1 ? 0 : startKeyIndex + `<${this.key}>`.length;
const questionsEndIndex = endKeyIndex === -1 ? text.length : endKeyIndex;

View File

@ -1,187 +0,0 @@
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { ChatOllama } from '@langchain/community/chat_models/ollama';
import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
import { HuggingFaceTransformersEmbeddings } from './huggingfaceTransformer';
import {
getGroqApiKey,
getOllamaApiEndpoint,
getOpenaiApiKey,
} from '../config';
import logger from '../utils/logger';
export const getAvailableChatModelProviders = async () => {
const openAIApiKey = getOpenaiApiKey();
const groqApiKey = getGroqApiKey();
const ollamaEndpoint = getOllamaApiEndpoint();
const models = {};
if (openAIApiKey) {
try {
models['openai'] = {
'GPT-3.5 turbo': new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-3.5-turbo',
temperature: 0.7,
}),
'GPT-4': new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4',
temperature: 0.7,
}),
'GPT-4 turbo': new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4-turbo',
temperature: 0.7,
}),
'GPT-4 omni': new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4o',
temperature: 0.7,
}),
};
} catch (err) {
logger.error(`Error loading OpenAI models: ${err}`);
}
}
if (groqApiKey) {
try {
models['groq'] = {
'LLaMA3 8b': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama3-8b-8192',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
'LLaMA3 70b': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama3-70b-8192',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
'Mixtral 8x7b': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'mixtral-8x7b-32768',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
'Gemma 7b': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'gemma-7b-it',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
};
} catch (err) {
logger.error(`Error loading Groq models: ${err}`);
}
}
if (ollamaEndpoint) {
try {
const response = await fetch(`${ollamaEndpoint}/api/tags`, {
headers: {
'Content-Type': 'application/json',
},
});
const { models: ollamaModels } = (await response.json()) as any;
models['ollama'] = ollamaModels.reduce((acc, model) => {
acc[model.model] = new ChatOllama({
baseUrl: ollamaEndpoint,
model: model.model,
temperature: 0.7,
});
return acc;
}, {});
} catch (err) {
logger.error(`Error loading Ollama models: ${err}`);
}
}
models['custom_openai'] = {};
return models;
};
export const getAvailableEmbeddingModelProviders = async () => {
const openAIApiKey = getOpenaiApiKey();
const ollamaEndpoint = getOllamaApiEndpoint();
const models = {};
if (openAIApiKey) {
try {
models['openai'] = {
'Text embedding 3 small': new OpenAIEmbeddings({
openAIApiKey,
modelName: 'text-embedding-3-small',
}),
'Text embedding 3 large': new OpenAIEmbeddings({
openAIApiKey,
modelName: 'text-embedding-3-large',
}),
};
} catch (err) {
logger.error(`Error loading OpenAI embeddings: ${err}`);
}
}
if (ollamaEndpoint) {
try {
const response = await fetch(`${ollamaEndpoint}/api/tags`, {
headers: {
'Content-Type': 'application/json',
},
});
const { models: ollamaModels } = (await response.json()) as any;
models['ollama'] = ollamaModels.reduce((acc, model) => {
acc[model.model] = new OllamaEmbeddings({
baseUrl: ollamaEndpoint,
model: model.model,
});
return acc;
}, {});
} catch (err) {
logger.error(`Error loading Ollama embeddings: ${err}`);
}
}
try {
models['local'] = {
'BGE Small': new HuggingFaceTransformersEmbeddings({
modelName: 'Xenova/bge-small-en-v1.5',
}),
'GTE Small': new HuggingFaceTransformersEmbeddings({
modelName: 'Xenova/gte-small',
}),
'Bert Multilingual': new HuggingFaceTransformersEmbeddings({
modelName: 'Xenova/bert-base-multilingual-uncased',
}),
};
} catch (err) {
logger.error(`Error loading local embeddings: ${err}`);
}
return models;
};

View File

@ -0,0 +1,39 @@
import { ChatAnthropic } from '@langchain/anthropic';
import { getAnthropicApiKey } from '../../config';
import logger from '../../utils/logger';
export const loadAnthropicChatModels = async () => {
const anthropicApiKey = getAnthropicApiKey();
if (!anthropicApiKey) return {};
try {
const chatModels = {
'Claude 3.5 Sonnet': new ChatAnthropic({
temperature: 0.7,
anthropicApiKey: anthropicApiKey,
model: 'claude-3-5-sonnet-20240620',
}),
'Claude 3 Opus': new ChatAnthropic({
temperature: 0.7,
anthropicApiKey: anthropicApiKey,
model: 'claude-3-opus-20240229',
}),
'Claude 3 Sonnet': new ChatAnthropic({
temperature: 0.7,
anthropicApiKey: anthropicApiKey,
model: 'claude-3-sonnet-20240229',
}),
'Claude 3 Haiku': new ChatAnthropic({
temperature: 0.7,
anthropicApiKey: anthropicApiKey,
model: 'claude-3-haiku-20240307',
}),
};
return chatModels;
} catch (err) {
logger.error(`Error loading Anthropic models: ${err}`);
return {};
}
};

89
src/lib/providers/groq.ts Normal file
View File

@ -0,0 +1,89 @@
import { ChatOpenAI } from '@langchain/openai';
import { getGroqApiKey } from '../../config';
import logger from '../../utils/logger';
export const loadGroqChatModels = async () => {
const groqApiKey = getGroqApiKey();
if (!groqApiKey) return {};
try {
const chatModels = {
'Llama 3.1 70B': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama-3.1-70b-versatile',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
'Llama 3.1 8B': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama-3.1-8b-instant',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
'LLaMA3 8b': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama3-8b-8192',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
'LLaMA3 70b': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama3-70b-8192',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
'Mixtral 8x7b': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'mixtral-8x7b-32768',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
'Gemma 7b': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'gemma-7b-it',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
'Gemma2 9b': new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'gemma2-9b-it',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
};
return chatModels;
} catch (err) {
logger.error(`Error loading Groq models: ${err}`);
return {};
}
};

View File

@ -0,0 +1,46 @@
import { loadGroqChatModels } from './groq';
import { loadOllamaChatModels, loadOllamaEmbeddingsModels } from './ollama';
import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
import { loadAnthropicChatModels } from './anthropic';
import { loadTransformersEmbeddingsModels } from './transformers';
const chatModelProviders = {
openai: loadOpenAIChatModels,
groq: loadGroqChatModels,
ollama: loadOllamaChatModels,
anthropic: loadAnthropicChatModels,
};
const embeddingModelProviders = {
openai: loadOpenAIEmbeddingsModels,
local: loadTransformersEmbeddingsModels,
ollama: loadOllamaEmbeddingsModels,
};
export const getAvailableChatModelProviders = async () => {
const models = {};
for (const provider in chatModelProviders) {
const providerModels = await chatModelProviders[provider]();
if (Object.keys(providerModels).length > 0) {
models[provider] = providerModels;
}
}
models['custom_openai'] = {};
return models;
};
export const getAvailableEmbeddingModelProviders = async () => {
const models = {};
for (const provider in embeddingModelProviders) {
const providerModels = await embeddingModelProviders[provider]();
if (Object.keys(providerModels).length > 0) {
models[provider] = providerModels;
}
}
return models;
};

View File

@ -0,0 +1,63 @@
import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
import { getOllamaApiEndpoint } from '../../config';
import logger from '../../utils/logger';
import { ChatOllama } from '@langchain/community/chat_models/ollama';
export const loadOllamaChatModels = async () => {
const ollamaEndpoint = getOllamaApiEndpoint();
if (!ollamaEndpoint) return {};
try {
const response = await fetch(`${ollamaEndpoint}/api/tags`, {
headers: {
'Content-Type': 'application/json',
},
});
const { models: ollamaModels } = (await response.json()) as any;
const chatModels = ollamaModels.reduce((acc, model) => {
acc[model.model] = new ChatOllama({
baseUrl: ollamaEndpoint,
model: model.model,
temperature: 0.7,
});
return acc;
}, {});
return chatModels;
} catch (err) {
logger.error(`Error loading Ollama models: ${err}`);
return {};
}
};
export const loadOllamaEmbeddingsModels = async () => {
const ollamaEndpoint = getOllamaApiEndpoint();
if (!ollamaEndpoint) return {};
try {
const response = await fetch(`${ollamaEndpoint}/api/tags`, {
headers: {
'Content-Type': 'application/json',
},
});
const { models: ollamaModels } = (await response.json()) as any;
const embeddingsModels = ollamaModels.reduce((acc, model) => {
acc[model.model] = new OllamaEmbeddings({
baseUrl: ollamaEndpoint,
model: model.model,
});
return acc;
}, {});
return embeddingsModels;
} catch (err) {
logger.error(`Error loading Ollama embeddings model: ${err}`);
return {};
}
};

View File

@ -0,0 +1,68 @@
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { getOpenaiApiKey } from '../../config';
import logger from '../../utils/logger';
export const loadOpenAIChatModels = async () => {
const openAIApiKey = getOpenaiApiKey();
if (!openAIApiKey) return {};
try {
const chatModels = {
'GPT-3.5 turbo': new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-3.5-turbo',
temperature: 0.7,
}),
'GPT-4': new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4',
temperature: 0.7,
}),
'GPT-4 turbo': new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4-turbo',
temperature: 0.7,
}),
'GPT-4 omni': new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4o',
temperature: 0.7,
}),
'GPT-4 omni mini': new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4o-mini',
temperature: 0.7,
}),
};
return chatModels;
} catch (err) {
logger.error(`Error loading OpenAI models: ${err}`);
return {};
}
};
export const loadOpenAIEmbeddingsModels = async () => {
const openAIApiKey = getOpenaiApiKey();
if (!openAIApiKey) return {};
try {
const embeddingModels = {
'Text embedding 3 small': new OpenAIEmbeddings({
openAIApiKey,
modelName: 'text-embedding-3-small',
}),
'Text embedding 3 large': new OpenAIEmbeddings({
openAIApiKey,
modelName: 'text-embedding-3-large',
}),
};
return embeddingModels;
} catch (err) {
logger.error(`Error loading OpenAI embeddings model: ${err}`);
return {};
}
};

View File

@ -0,0 +1,23 @@
import logger from '../../utils/logger';
import { HuggingFaceTransformersEmbeddings } from '../huggingfaceTransformer';
export const loadTransformersEmbeddingsModels = async () => {
try {
const embeddingModels = {
'BGE Small': new HuggingFaceTransformersEmbeddings({
modelName: 'Xenova/bge-small-en-v1.5',
}),
'GTE Small': new HuggingFaceTransformersEmbeddings({
modelName: 'Xenova/gte-small',
}),
'Bert Multilingual': new HuggingFaceTransformersEmbeddings({
modelName: 'Xenova/bert-base-multilingual-uncased',
}),
};
return embeddingModels;
} catch (err) {
logger.error(`Error loading Transformers embeddings model: ${err}`);
return {};
}
};

66
src/routes/chats.ts Normal file
View File

@ -0,0 +1,66 @@
import express from 'express';
import logger from '../utils/logger';
import db from '../db/index';
import { eq } from 'drizzle-orm';
import { chats, messages } from '../db/schema';
const router = express.Router();
router.get('/', async (_, res) => {
try {
let chats = await db.query.chats.findMany();
chats = chats.reverse();
return res.status(200).json({ chats: chats });
} catch (err) {
res.status(500).json({ message: 'An error has occurred.' });
logger.error(`Error in getting chats: ${err.message}`);
}
});
router.get('/:id', async (req, res) => {
try {
const chatExists = await db.query.chats.findFirst({
where: eq(chats.id, req.params.id),
});
if (!chatExists) {
return res.status(404).json({ message: 'Chat not found' });
}
const chatMessages = await db.query.messages.findMany({
where: eq(messages.chatId, req.params.id),
});
return res.status(200).json({ chat: chatExists, messages: chatMessages });
} catch (err) {
res.status(500).json({ message: 'An error has occurred.' });
logger.error(`Error in getting chat: ${err.message}`);
}
});
router.delete(`/:id`, async (req, res) => {
try {
const chatExists = await db.query.chats.findFirst({
where: eq(chats.id, req.params.id),
});
if (!chatExists) {
return res.status(404).json({ message: 'Chat not found' });
}
await db.delete(chats).where(eq(chats.id, req.params.id)).execute();
await db
.delete(messages)
.where(eq(messages.chatId, req.params.id))
.execute();
return res.status(200).json({ message: 'Chat deleted successfully' });
} catch (err) {
res.status(500).json({ message: 'An error has occurred.' });
logger.error(`Error in deleting chat: ${err.message}`);
}
});
export default router;

View File

@ -6,6 +6,7 @@ import {
import {
getGroqApiKey,
getOllamaApiEndpoint,
getAnthropicApiKey,
getOpenaiApiKey,
updateConfig,
} from '../config';
@ -37,6 +38,7 @@ router.get('/', async (_, res) => {
config['openaiApiKey'] = getOpenaiApiKey();
config['ollamaApiUrl'] = getOllamaApiEndpoint();
config['anthropicApiKey'] = getAnthropicApiKey();
config['groqApiKey'] = getGroqApiKey();
res.status(200).json(config);
@ -49,6 +51,7 @@ router.post('/', async (req, res) => {
API_KEYS: {
OPENAI: config.openaiApiKey,
GROQ: config.groqApiKey,
ANTHROPIC: config.anthropicApiKey,
},
API_ENDPOINTS: {
OLLAMA: config.ollamaApiUrl,

View File

@ -4,6 +4,7 @@ import videosRouter from './videos';
import configRouter from './config';
import modelsRouter from './models';
import suggestionsRouter from './suggestions';
import chatsRouter from './chats';
const router = express.Router();
@ -12,5 +13,6 @@ router.use('/videos', videosRouter);
router.use('/config', configRouter);
router.use('/models', modelsRouter);
router.use('/suggestions', suggestionsRouter);
router.use('/chats', chatsRouter);
export default router;

View File

@ -45,7 +45,7 @@ export const handleConnection = async (
chatModelProviders[chatModelProvider][chatModel] &&
chatModelProvider != 'custom_openai'
) {
llm = chatModelProviders[chatModelProvider][chatModel] as
llm = chatModelProviders[chatModelProvider][chatModel] as unknown as
| BaseChatModel
| undefined;
} else if (chatModelProvider == 'custom_openai') {
@ -56,7 +56,7 @@ export const handleConnection = async (
configuration: {
baseURL: searchParams.get('openAIBaseURL'),
},
});
}) as unknown as BaseChatModel;
}
if (

View File

@ -9,11 +9,21 @@ import handleRedditSearch from '../agents/redditSearchAgent';
import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
import type { Embeddings } from '@langchain/core/embeddings';
import logger from '../utils/logger';
import db from '../db';
import { chats, messages } from '../db/schema';
import { eq } from 'drizzle-orm';
import crypto from 'crypto';
type Message = {
type: string;
messageId: string;
chatId: string;
content: string;
};
type WSMessage = {
message: Message;
copilot: boolean;
type: string;
focusMode: string;
history: Array<[string, string]>;
};
@ -30,8 +40,12 @@ const searchHandlers = {
const handleEmitterEvents = (
emitter: EventEmitter,
ws: WebSocket,
id: string,
messageId: string,
chatId: string,
) => {
let recievedMessage = '';
let sources = [];
emitter.on('data', (data) => {
const parsedData = JSON.parse(data);
if (parsedData.type === 'response') {
@ -39,21 +53,36 @@ const handleEmitterEvents = (
JSON.stringify({
type: 'message',
data: parsedData.data,
messageId: id,
messageId: messageId,
}),
);
recievedMessage += parsedData.data;
} else if (parsedData.type === 'sources') {
ws.send(
JSON.stringify({
type: 'sources',
data: parsedData.data,
messageId: id,
messageId: messageId,
}),
);
sources = parsedData.data;
}
});
emitter.on('end', () => {
ws.send(JSON.stringify({ type: 'messageEnd', messageId: id }));
ws.send(JSON.stringify({ type: 'messageEnd', messageId: messageId }));
db.insert(messages)
.values({
content: recievedMessage,
chatId: chatId,
messageId: messageId,
role: 'assistant',
metadata: JSON.stringify({
createdAt: new Date(),
...(sources && sources.length > 0 && { sources }),
}),
})
.execute();
});
emitter.on('error', (data) => {
const parsedData = JSON.parse(data);
@ -74,8 +103,10 @@ export const handleMessage = async (
embeddings: Embeddings,
) => {
try {
const parsedMessage = JSON.parse(message) as Message;
const id = Math.random().toString(36).substring(7);
const parsedWSMessage = JSON.parse(message) as WSMessage;
const parsedMessage = parsedWSMessage.message;
const id = crypto.randomBytes(7).toString('hex');
if (!parsedMessage.content)
return ws.send(
@ -86,7 +117,7 @@ export const handleMessage = async (
}),
);
const history: BaseMessage[] = parsedMessage.history.map((msg) => {
const history: BaseMessage[] = parsedWSMessage.history.map((msg) => {
if (msg[0] === 'human') {
return new HumanMessage({
content: msg[1],
@ -98,8 +129,9 @@ export const handleMessage = async (
}
});
if (parsedMessage.type === 'message') {
const handler = searchHandlers[parsedMessage.focusMode];
if (parsedWSMessage.type === 'message') {
const handler = searchHandlers[parsedWSMessage.focusMode];
if (handler) {
const emitter = handler(
parsedMessage.content,
@ -107,7 +139,37 @@ export const handleMessage = async (
llm,
embeddings,
);
handleEmitterEvents(emitter, ws, id);
handleEmitterEvents(emitter, ws, id, parsedMessage.chatId);
const chat = await db.query.chats.findFirst({
where: eq(chats.id, parsedMessage.chatId),
});
if (!chat) {
await db
.insert(chats)
.values({
id: parsedMessage.chatId,
title: parsedMessage.content,
createdAt: new Date().toString(),
focusMode: parsedWSMessage.focusMode,
})
.execute();
}
await db
.insert(messages)
.values({
content: parsedMessage.content,
chatId: parsedMessage.chatId,
messageId: id,
role: 'user',
metadata: JSON.stringify({
createdAt: new Date(),
}),
})
.execute();
} else {
ws.send(
JSON.stringify({

View File

@ -0,0 +1,7 @@
import ChatWindow from '@/components/ChatWindow';
const Page = ({ params }: { params: { chatId: string } }) => {
return <ChatWindow id={params.chatId} />;
};
export default Page;

View File

@ -1,5 +0,0 @@
const Page = () => {
return <div>page</div>;
};
export default Page;

View File

@ -34,7 +34,7 @@ export default function RootLayout({
unstyled: true,
classNames: {
toast:
'bg-light-primary dark:bg-dark-primary text-white rounded-lg p-4 flex flex-row items-center space-x-2',
'bg-light-primary dark:bg-dark-secondary dark:text-white/70 text-black-70 rounded-lg p-4 flex flex-row items-center space-x-2',
},
}}
/>

12
ui/app/library/layout.tsx Normal file
View File

@ -0,0 +1,12 @@
import { Metadata } from 'next';
import React from 'react';
export const metadata: Metadata = {
title: 'Library - Perplexica',
};
const Layout = ({ children }: { children: React.ReactNode }) => {
return <div>{children}</div>;
};
export default Layout;

110
ui/app/library/page.tsx Normal file
View File

@ -0,0 +1,110 @@
'use client';
import DeleteChat from '@/components/DeleteChat';
import { formatTimeDifference } from '@/lib/utils';
import { BookOpenText, ClockIcon, Delete, ScanEye } from 'lucide-react';
import Link from 'next/link';
import { useEffect, useState } from 'react';
export interface Chat {
id: string;
title: string;
createdAt: string;
focusMode: string;
}
const Page = () => {
const [chats, setChats] = useState<Chat[]>([]);
const [loading, setLoading] = useState(true);
useEffect(() => {
const fetchChats = async () => {
setLoading(true);
const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/chats`, {
method: 'GET',
headers: {
'Content-Type': 'application/json',
},
});
const data = await res.json();
setChats(data.chats);
setLoading(false);
};
fetchChats();
}, []);
return loading ? (
<div className="flex flex-row items-center justify-center min-h-screen">
<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>
) : (
<div>
<div className="fixed z-40 top-0 left-0 right-0 lg:pl-[104px] lg:pr-6 lg:px-8 px-4 py-4 lg:py-6 border-b border-light-200 dark:border-dark-200">
<div className="flex flex-row items-center space-x-2 max-w-screen-lg lg:mx-auto">
<BookOpenText />
<h2 className="text-black dark:text-white lg:text-3xl lg:font-medium">
Library
</h2>
</div>
</div>
{chats.length === 0 && (
<div className="flex flex-row items-center justify-center min-h-screen">
<p className="text-black/70 dark:text-white/70 text-sm">
No chats found.
</p>
</div>
)}
{chats.length > 0 && (
<div className="flex flex-col pt-16 lg:pt-24">
{chats.map((chat, i) => (
<div
className="flex flex-col space-y-4 border-b border-white-200 dark:border-dark-200 py-6 lg:mx-4"
key={i}
>
<Link
href={`/c/${chat.id}`}
className="text-black dark:text-white lg:text-xl font-medium truncate transition duration-200 hover:text-[#24A0ED] dark:hover:text-[#24A0ED] cursor-pointer"
>
{chat.title}
</Link>
<div className="flex flex-row items-center justify-between w-full">
<div className="flex flex-row items-center space-x-1 lg:space-x-1.5 text-black/70 dark:text-white/70">
<ClockIcon size={15} />
<p className="text-xs">
{formatTimeDifference(new Date(), chat.createdAt)} Ago
</p>
</div>
<DeleteChat
chatId={chat.id}
chats={chats}
setChats={setChats}
/>
</div>
</div>
))}
</div>
)}
</div>
);
};
export default Page;

View File

@ -53,7 +53,7 @@ const Chat = ({
const isLast = i === messages.length - 1;
return (
<Fragment key={msg.id}>
<Fragment key={msg.messageId}>
<MessageBox
key={i}
message={msg}

View File

@ -5,12 +5,15 @@ import { Document } from '@langchain/core/documents';
import Navbar from './Navbar';
import Chat from './Chat';
import EmptyChat from './EmptyChat';
import crypto from 'crypto';
import { toast } from 'sonner';
import { useSearchParams } from 'next/navigation';
import { getSuggestions } from '@/lib/actions';
import Error from 'next/error';
export type Message = {
id: string;
messageId: string;
chatId: string;
createdAt: Date;
content: string;
role: 'user' | 'assistant';
@ -18,7 +21,11 @@ export type Message = {
sources?: Document[];
};
const useSocket = (url: string, setIsReady: (ready: boolean) => void) => {
const useSocket = (
url: string,
setIsWSReady: (ready: boolean) => void,
setError: (error: boolean) => void,
) => {
const [ws, setWs] = useState<WebSocket | null>(null);
useEffect(() => {
@ -47,13 +54,26 @@ const useSocket = (url: string, setIsReady: (ready: boolean) => void) => {
).then(async (res) => await res.json());
const chatModelProviders = providers.chatModelProviders;
const embeddingModelProviders = providers.embeddingModelProviders;
if (
!chatModelProviders ||
Object.keys(chatModelProviders).length === 0
)
return toast.error('No chat models available');
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 configure the API key and base URL',
);
setError(true);
return;
} else {
chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
if (
!chatModelProviders ||
Object.keys(chatModelProviders).length === 0
)
return toast.error('No chat models available');
}
const embeddingModelProviders = providers.embeddingModelProviders;
if (
!embeddingModelProviders ||
@ -61,9 +81,6 @@ const useSocket = (url: string, setIsReady: (ready: boolean) => void) => {
)
return toast.error('No embedding models available');
chatModelProvider = Object.keys(chatModelProviders)[0];
chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
embeddingModel = Object.keys(
embeddingModelProviders[embeddingModelProvider],
@ -76,6 +93,56 @@ const useSocket = (url: string, setIsReady: (ready: boolean) => void) => {
'embeddingModelProvider',
embeddingModelProvider,
);
} else {
const providers = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/models`,
{
headers: {
'Content-Type': 'app lication/json',
},
},
).then(async (res) => await res.json());
const chatModelProviders = providers.chatModelProviders;
const embeddingModelProviders = providers.embeddingModelProviders;
if (
Object.keys(chatModelProviders).length > 0 &&
!chatModelProviders[chatModelProvider]
) {
chatModelProvider = Object.keys(chatModelProviders)[0];
localStorage.setItem('chatModelProvider', chatModelProvider);
}
if (
chatModelProvider &&
chatModelProvider != 'custom_openai' &&
!chatModelProviders[chatModelProvider][chatModel]
) {
chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
localStorage.setItem('chatModel', chatModel);
}
if (
Object.keys(embeddingModelProviders).length > 0 &&
!embeddingModelProviders[embeddingModelProvider]
) {
embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
localStorage.setItem(
'embeddingModelProvider',
embeddingModelProvider,
);
}
if (
embeddingModelProvider &&
!embeddingModelProviders[embeddingModelProvider][embeddingModel]
) {
embeddingModel = Object.keys(
embeddingModelProviders[embeddingModelProvider],
)[0];
localStorage.setItem('embeddingModel', embeddingModel);
}
}
const wsURL = new URL(url);
@ -102,60 +169,171 @@ const useSocket = (url: string, setIsReady: (ready: boolean) => void) => {
const ws = new WebSocket(wsURL.toString());
const timeoutId = setTimeout(() => {
if (ws.readyState !== 1) {
ws.close();
setError(true);
toast.error(
'Failed to connect to the server. Please try again later.',
);
}
}, 10000);
ws.onopen = () => {
console.log('[DEBUG] open');
clearTimeout(timeoutId);
setError(false);
setIsWSReady(true);
};
const stateCheckInterval = setInterval(() => {
if (ws.readyState === 1) {
setIsReady(true);
clearInterval(stateCheckInterval);
ws.onerror = () => {
clearTimeout(timeoutId);
setError(true);
toast.error('WebSocket connection error.');
};
ws.onclose = () => {
clearTimeout(timeoutId);
setError(true);
console.log('[DEBUG] closed');
};
ws.addEventListener('message', (e) => {
const data = JSON.parse(e.data);
if (data.type === 'error') {
toast.error(data.data);
}
}, 100);
});
setWs(ws);
ws.onmessage = (e) => {
const parsedData = JSON.parse(e.data);
if (parsedData.type === 'error') {
toast.error(parsedData.data);
if (parsedData.key === 'INVALID_MODEL_SELECTED') {
localStorage.clear();
}
}
};
};
connectWs();
}
return () => {
ws?.close();
console.log('[DEBUG] closed');
if (ws?.readyState === 1) {
ws?.close();
console.log('[DEBUG] closed');
}
};
}, [ws, url, setIsReady]);
}, [ws, url, setIsWSReady, setError]);
return ws;
};
const ChatWindow = () => {
const loadMessages = async (
chatId: string,
setMessages: (messages: Message[]) => void,
setIsMessagesLoaded: (loaded: boolean) => void,
setChatHistory: (history: [string, string][]) => void,
setFocusMode: (mode: string) => void,
setNotFound: (notFound: boolean) => void,
) => {
const res = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/chats/${chatId}`,
{
method: 'GET',
headers: {
'Content-Type': 'application/json',
},
},
);
if (res.status === 404) {
setNotFound(true);
setIsMessagesLoaded(true);
return;
}
const data = await res.json();
const messages = data.messages.map((msg: any) => {
return {
...msg,
...JSON.parse(msg.metadata),
};
}) as Message[];
setMessages(messages);
const history = messages.map((msg) => {
return [msg.role, msg.content];
}) as [string, string][];
console.log('[DEBUG] messages loaded');
document.title = messages[0].content;
setChatHistory(history);
setFocusMode(data.chat.focusMode);
setIsMessagesLoaded(true);
};
const ChatWindow = ({ id }: { id?: string }) => {
const searchParams = useSearchParams();
const initialMessage = searchParams.get('q');
const [chatId, setChatId] = useState<string | undefined>(id);
const [newChatCreated, setNewChatCreated] = useState(false);
const [hasError, setHasError] = useState(false);
const [isReady, setIsReady] = useState(false);
const ws = useSocket(process.env.NEXT_PUBLIC_WS_URL!, setIsReady);
const [isWSReady, setIsWSReady] = useState(false);
const ws = useSocket(
process.env.NEXT_PUBLIC_WS_URL!,
setIsWSReady,
setHasError,
);
const [loading, setLoading] = useState(false);
const [messageAppeared, setMessageAppeared] = useState(false);
const [chatHistory, setChatHistory] = useState<[string, string][]>([]);
const [messages, setMessages] = useState<Message[]>([]);
const messagesRef = useRef<Message[]>([]);
const [loading, setLoading] = useState(false);
const [messageAppeared, setMessageAppeared] = useState(false);
const [focusMode, setFocusMode] = useState('webSearch');
const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);
const [notFound, setNotFound] = useState(false);
useEffect(() => {
if (
chatId &&
!newChatCreated &&
!isMessagesLoaded &&
messages.length === 0
) {
loadMessages(
chatId,
setMessages,
setIsMessagesLoaded,
setChatHistory,
setFocusMode,
setNotFound,
);
} else if (!chatId) {
setNewChatCreated(true);
setIsMessagesLoaded(true);
setChatId(crypto.randomBytes(20).toString('hex'));
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
const messagesRef = useRef<Message[]>([]);
useEffect(() => {
messagesRef.current = messages;
}, [messages]);
useEffect(() => {
if (isMessagesLoaded && isWSReady) {
setIsReady(true);
}
}, [isMessagesLoaded, isWSReady]);
const sendMessage = async (message: string) => {
if (loading) return;
setLoading(true);
@ -165,10 +343,15 @@ const ChatWindow = () => {
let recievedMessage = '';
let added = false;
const messageId = crypto.randomBytes(7).toString('hex');
ws?.send(
JSON.stringify({
type: 'message',
content: message,
message: {
chatId: chatId!,
content: message,
},
focusMode: focusMode,
history: [...chatHistory, ['human', message]],
}),
@ -178,7 +361,8 @@ const ChatWindow = () => {
...prevMessages,
{
content: message,
id: Math.random().toString(36).substring(7),
messageId: messageId,
chatId: chatId!,
role: 'user',
createdAt: new Date(),
},
@ -200,7 +384,8 @@ const ChatWindow = () => {
...prevMessages,
{
content: '',
id: data.messageId,
messageId: data.messageId,
chatId: chatId!,
role: 'assistant',
sources: sources,
createdAt: new Date(),
@ -217,7 +402,8 @@ const ChatWindow = () => {
...prevMessages,
{
content: data.data,
id: data.messageId,
messageId: data.messageId,
chatId: chatId!,
role: 'assistant',
sources: sources,
createdAt: new Date(),
@ -228,7 +414,7 @@ const ChatWindow = () => {
setMessages((prev) =>
prev.map((message) => {
if (message.id === data.messageId) {
if (message.messageId === data.messageId) {
return { ...message, content: message.content + data.data };
}
@ -261,7 +447,7 @@ const ChatWindow = () => {
const suggestions = await getSuggestions(messagesRef.current);
setMessages((prev) =>
prev.map((msg) => {
if (msg.id === lastMsg.id) {
if (msg.messageId === lastMsg.messageId) {
return { ...msg, suggestions: suggestions };
}
return msg;
@ -275,7 +461,7 @@ const ChatWindow = () => {
};
const rewrite = (messageId: string) => {
const index = messages.findIndex((msg) => msg.id === messageId);
const index = messages.findIndex((msg) => msg.messageId === messageId);
if (index === -1) return;
@ -298,27 +484,41 @@ const ChatWindow = () => {
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [isReady, initialMessage]);
if (hasError) {
return (
<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>
);
}
return isReady ? (
<div>
{messages.length > 0 ? (
<>
<Navbar messages={messages} />
<Chat
loading={loading}
messages={messages}
notFound ? (
<Error statusCode={404} />
) : (
<div>
{messages.length > 0 ? (
<>
<Navbar messages={messages} />
<Chat
loading={loading}
messages={messages}
sendMessage={sendMessage}
messageAppeared={messageAppeared}
rewrite={rewrite}
/>
</>
) : (
<EmptyChat
sendMessage={sendMessage}
messageAppeared={messageAppeared}
rewrite={rewrite}
focusMode={focusMode}
setFocusMode={setFocusMode}
/>
</>
) : (
<EmptyChat
sendMessage={sendMessage}
focusMode={focusMode}
setFocusMode={setFocusMode}
/>
)}
</div>
)}
</div>
)
) : (
<div className="flex flex-row items-center justify-center min-h-screen">
<svg
@ -329,11 +529,11 @@ const ChatWindow = () => {
xmlns="http://www.w3.org/2000/svg"
>
<path
d="M100 50.5908C100 78.2051 77.6142 100.591 50 100.591C22.3858 100.591 0 78.2051 0 50.5908C0 22.9766 22.3858 0.59082 50 0.59082C77.6142 0.59082 100 22.9766 100 50.5908ZM9.08144 50.5908C9.08144 73.1895 27.4013 91.5094 50 91.5094C72.5987 91.5094 90.9186 73.1895 90.9186 50.5908C90.9186 27.9921 72.5987 9.67226 50 9.67226C27.4013 9.67226 9.08144 27.9921 9.08144 50.5908Z"
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 38.4038 97.8624 35.9116 97.0079 33.5539C95.2932 28.8227 92.871 24.3692 89.8167 20.348C85.8452 15.1192 80.8826 10.7238 75.2124 7.41289C69.5422 4.10194 63.2754 1.94025 56.7698 1.05124C51.7666 0.367541 46.6976 0.446843 41.7345 1.27873C39.2613 1.69328 37.813 4.19778 38.4501 6.62326C39.0873 9.04874 41.5694 10.4717 44.0505 10.1071C47.8511 9.54855 51.7191 9.52689 55.5402 10.0491C60.8642 10.7766 65.9928 12.5457 70.6331 15.2552C75.2735 17.9648 79.3347 21.5619 82.5849 25.841C84.9175 28.9121 86.7997 32.2913 88.1811 35.8758C89.083 38.2158 91.5421 39.6781 93.9676 39.0409Z"
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>

View File

@ -0,0 +1,114 @@
import { Delete, Trash } from 'lucide-react';
import { Dialog, Transition } from '@headlessui/react';
import { Fragment, useState } from 'react';
import { toast } from 'sonner';
import { Chat } from '@/app/library/page';
const DeleteChat = ({
chatId,
chats,
setChats,
}: {
chatId: string;
chats: Chat[];
setChats: (chats: Chat[]) => void;
}) => {
const [confirmationDialogOpen, setConfirmationDialogOpen] = useState(false);
const [loading, setLoading] = useState(false);
const handleDelete = async () => {
setLoading(true);
try {
const res = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/chats/${chatId}`,
{
method: 'DELETE',
headers: {
'Content-Type': 'application/json',
},
},
);
if (res.status != 200) {
throw new Error('Failed to delete chat');
}
const newChats = chats.filter((chat) => chat.id !== chatId);
setChats(newChats);
} catch (err: any) {
toast.error(err.message);
} finally {
setConfirmationDialogOpen(false);
setLoading(false);
}
};
return (
<>
<button
onClick={() => {
setConfirmationDialogOpen(true);
}}
className="bg-transparent text-red-400 hover:scale-105 transition duration-200"
>
<Trash size={17} />
</button>
<Transition appear show={confirmationDialogOpen} as={Fragment}>
<Dialog
as="div"
className="relative z-50"
onClose={() => {
if (!loading) {
setConfirmationDialogOpen(false);
}
}}
>
<Dialog.Backdrop className="fixed inset-0 bg-black/30" />
<div className="fixed inset-0 overflow-y-auto">
<div className="flex min-h-full items-center justify-center p-4 text-center">
<Transition.Child
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"
>
<Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
<Dialog.Title className="text-lg font-medium leading-6 dark:text-white">
Delete Confirmation
</Dialog.Title>
<Dialog.Description className="text-sm dark:text-white/70 text-black/70">
Are you sure you want to delete this chat?
</Dialog.Description>
<div className="flex flex-row items-end justify-end space-x-4 mt-6">
<button
onClick={() => {
if (!loading) {
setConfirmationDialogOpen(false);
}
}}
className="text-black/50 dark:text-white/50 text-sm hover:text-black/70 hover:dark:text-white/70 transition duration-200"
>
Cancel
</button>
<button
onClick={handleDelete}
className="text-red-400 text-sm hover:text-red-500 transition duration200"
>
Delete
</button>
</div>
</Dialog.Panel>
</Transition.Child>
</div>
</div>
</Dialog>
</Transition>
</>
);
};
export default DeleteChat;

View File

@ -1,5 +1,4 @@
import EmptyChatMessageInput from './EmptyChatMessageInput';
import ThemeSwitcher from './theme/Switcher';
const EmptyChat = ({
sendMessage,
@ -12,8 +11,6 @@ const EmptyChat = ({
}) => {
return (
<div className="relative">
<ThemeSwitcher size={17} className="absolute top-2 right-0 lg:hidden" />
<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">
Research begins here.

View File

@ -1,5 +1,5 @@
import { ArrowRight } from 'lucide-react';
import { useState } from 'react';
import { useEffect, useRef, useState } from 'react';
import TextareaAutosize from 'react-textarea-autosize';
import CopilotToggle from './MessageInputActions/Copilot';
import Focus from './MessageInputActions/Focus';
@ -16,6 +16,23 @@ const EmptyChatMessageInput = ({
const [copilotEnabled, setCopilotEnabled] = useState(false);
const [message, setMessage] = useState('');
const inputRef = useRef<HTMLTextAreaElement | null>(null);
const handleKeyDown = (e: KeyboardEvent) => {
if (e.key === '/') {
e.preventDefault();
inputRef.current?.focus();
}
};
useEffect(() => {
document.addEventListener('keydown', handleKeyDown);
return () => {
document.removeEventListener('keydown', handleKeyDown);
};
}, []);
return (
<form
onSubmit={(e) => {
@ -34,6 +51,7 @@ const EmptyChatMessageInput = ({
>
<div className="flex flex-col bg-light-secondary dark:bg-dark-secondary px-5 pt-5 pb-2 rounded-lg w-full border border-light-200 dark:border-dark-200">
<TextareaAutosize
ref={inputRef}
value={message}
onChange={(e) => setMessage(e.target.value)}
minRows={2}

View File

@ -7,7 +7,6 @@ import { cn } from '@/lib/utils';
import {
BookCopy,
Disc3,
Share,
Volume2,
StopCircle,
Layers3,
@ -120,7 +119,7 @@ const MessageBox = ({
{/* <button className="p-2 text-black/70 dark:text-white/70 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary transition duration-200 hover:text-black text-black dark:hover:text-white">
<Share size={18} />
</button> */}
<Rewrite rewrite={rewrite} messageId={message.id} />
<Rewrite rewrite={rewrite} messageId={message.messageId} />
</div>
<div className="flex flex-row items-center space-x-1">
<Copy initialMessage={message.content} message={message} />

View File

@ -1,6 +1,6 @@
const MessageBoxLoading = () => {
return (
<div className="flex flex-col space-y-2 w-full lg:w-9/12 bg-light-primary dark:bg-dark-primary animate-pulse rounded-lg p-3">
<div className="flex flex-col space-y-2 w-full lg:w-9/12 bg-light-primary dark:bg-dark-primary animate-pulse rounded-lg py-3">
<div className="h-2 rounded-full w-full bg-light-secondary dark:bg-dark-secondary" />
<div className="h-2 rounded-full w-9/12 bg-light-secondary dark:bg-dark-secondary" />
<div className="h-2 rounded-full w-10/12 bg-light-secondary dark:bg-dark-secondary" />

View File

@ -1,6 +1,6 @@
import { cn } from '@/lib/utils';
import { ArrowUp } from 'lucide-react';
import { useEffect, useState } from 'react';
import { useEffect, useRef, useState } from 'react';
import TextareaAutosize from 'react-textarea-autosize';
import Attach from './MessageInputActions/Attach';
import CopilotToggle from './MessageInputActions/Copilot';
@ -25,6 +25,23 @@ const MessageInput = ({
}
}, [textareaRows, mode, message]);
const inputRef = useRef<HTMLTextAreaElement | null>(null);
const handleKeyDown = (e: KeyboardEvent) => {
if (e.key === '/') {
e.preventDefault();
inputRef.current?.focus();
}
};
useEffect(() => {
document.addEventListener('keydown', handleKeyDown);
return () => {
document.removeEventListener('keydown', handleKeyDown);
};
}, []);
return (
<form
onSubmit={(e) => {
@ -47,6 +64,7 @@ const MessageInput = ({
>
{mode === 'single' && <Attach />}
<TextareaAutosize
ref={inputRef}
value={message}
onChange={(e) => setMessage(e.target.value)}
onHeightChange={(height, props) => {

View File

@ -2,7 +2,6 @@ import { Clock, Edit, Share, Trash } from 'lucide-react';
import { Message } from './ChatWindow';
import { useEffect, useState } from 'react';
import { formatTimeDifference } from '@/lib/utils';
import ThemeSwitcher from './theme/Switcher';
const Navbar = ({ messages }: { messages: Message[] }) => {
const [title, setTitle] = useState<string>('');
@ -50,8 +49,6 @@ const Navbar = ({ messages }: { messages: Message[] }) => {
</div>
<p className="hidden lg:flex">{title}</p>
<ThemeSwitcher size={17} className="lg:hidden ml-auto mr-4" />
<div className="flex flex-row items-center space-x-4">
<Share
size={17}

View File

@ -4,7 +4,6 @@ import { CloudUpload, RefreshCcw, RefreshCw } from 'lucide-react';
import React, {
Fragment,
useEffect,
useMemo,
useState,
type SelectHTMLAttributes,
} from 'react';
@ -57,6 +56,7 @@ interface SettingsType {
};
openaiApiKey: string;
groqApiKey: string;
anthropicApiKey: string;
ollamaApiUrl: string;
}
@ -225,9 +225,13 @@ const SettingsDialog = ({
value={selectedChatModelProvider ?? undefined}
onChange={(e) => {
setSelectedChatModelProvider(e.target.value);
setSelectedChatModel(
config.chatModelProviders[e.target.value][0],
);
if (e.target.value === 'custom_openai') {
setSelectedChatModel('');
} else {
setSelectedChatModel(
config.chatModelProviders[e.target.value][0],
);
}
}}
options={Object.keys(config.chatModelProviders).map(
(provider) => ({
@ -440,6 +444,22 @@ const SettingsDialog = ({
}
/>
</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>
)}
{isLoading && (

View File

@ -7,7 +7,6 @@ import { useSelectedLayoutSegments } from 'next/navigation';
import React, { useState, type ReactNode } from 'react';
import Layout from './Layout';
import SettingsDialog from './SettingsDialog';
import ThemeSwitcher from './theme/Switcher';
const VerticalIconContainer = ({ children }: { children: ReactNode }) => {
return (
@ -24,7 +23,7 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
{
icon: Home,
href: '/',
active: segments.length === 0,
active: segments.length === 0 || segments.includes('c'),
label: 'Home',
},
{

View File

@ -2,7 +2,6 @@
import { useTheme } from 'next-themes';
import { SunIcon, MoonIcon, MonitorIcon } from 'lucide-react';
import { useCallback, useEffect, useState } from 'react';
import { cn } from '@/lib/utils';
import { Select } from '../SettingsDialog';
type Theme = 'dark' | 'light' | 'system';
@ -53,7 +52,7 @@ const ThemeSwitcher = ({ className }: { className?: string }) => {
onChange={(e) => handleThemeSwitch(e.target.value as Theme)}
options={[
{ value: 'light', label: 'Light' },
{ value: 'dark', label: 'Dark' }
{ value: 'dark', label: 'Dark' },
]}
/>
);

View File

@ -3,7 +3,13 @@ import { twMerge } from 'tailwind-merge';
export const cn = (...classes: ClassValue[]) => twMerge(clsx(...classes));
export const formatTimeDifference = (date1: Date, date2: Date): string => {
export const formatTimeDifference = (
date1: Date | string,
date2: Date | string,
): string => {
date1 = new Date(date1);
date2 = new Date(date2);
const diffInSeconds = Math.floor(
Math.abs(date2.getTime() - date1.getTime()) / 1000,
);

View File

@ -1,6 +1,6 @@
{
"name": "perplexica-frontend",
"version": "1.6.0",
"version": "1.9.0-rc1",
"license": "MIT",
"author": "ItzCrazyKns",
"scripts": {

710
yarn.lock
View File

@ -2,6 +2,20 @@
# yarn lockfile v1
"@anthropic-ai/sdk@^0.22.0":
version "0.22.0"
resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.22.0.tgz#548e4218d9810fd494e595d4e57cb2d46d301a1a"
integrity sha512-dv4BCC6FZJw3w66WNLsHlUFjhu19fS1L/5jMPApwhZLa/Oy1j0A2i3RypmDtHEPp4Wwg3aZkSHksp7VzYWjzmw==
dependencies:
"@types/node" "^18.11.18"
"@types/node-fetch" "^2.6.4"
abort-controller "^3.0.0"
agentkeepalive "^4.2.1"
form-data-encoder "1.7.2"
formdata-node "^4.3.2"
node-fetch "^2.6.7"
web-streams-polyfill "^3.2.1"
"@anthropic-ai/sdk@^0.9.1":
version "0.9.1"
resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.9.1.tgz#b2d2b7bf05c90dce502c9a2e869066870f69ba88"
@ -38,6 +52,247 @@
enabled "2.0.x"
kuler "^2.0.0"
"@esbuild-kit/core-utils@^3.3.2":
version "3.3.2"
resolved "https://registry.yarnpkg.com/@esbuild-kit/core-utils/-/core-utils-3.3.2.tgz#186b6598a5066f0413471d7c4d45828e399ba96c"
integrity sha512-sPRAnw9CdSsRmEtnsl2WXWdyquogVpB3yZ3dgwJfe8zrOzTsV7cJvmwrKVa+0ma5BoiGJ+BoqkMvawbayKUsqQ==
dependencies:
esbuild "~0.18.20"
source-map-support "^0.5.21"
"@esbuild-kit/esm-loader@^2.5.5":
version "2.6.5"
resolved "https://registry.yarnpkg.com/@esbuild-kit/esm-loader/-/esm-loader-2.6.5.tgz#6eedee46095d7d13b1efc381e2211ed1c60e64ea"
integrity sha512-FxEMIkJKnodyA1OaCUoEvbYRkoZlLZ4d/eXFu9Fh8CbBBgP5EmZxrfTRyN0qpXZ4vOvqnE5YdRdcrmUUXuU+dA==
dependencies:
"@esbuild-kit/core-utils" "^3.3.2"
get-tsconfig "^4.7.0"
"@esbuild/aix-ppc64@0.19.12":
version "0.19.12"
resolved "https://registry.yarnpkg.com/@esbuild/aix-ppc64/-/aix-ppc64-0.19.12.tgz#d1bc06aedb6936b3b6d313bf809a5a40387d2b7f"
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"@esbuild/android-arm64@0.18.20":
version "0.18.20"
resolved "https://registry.yarnpkg.com/@esbuild/android-arm64/-/android-arm64-0.18.20.tgz#984b4f9c8d0377443cc2dfcef266d02244593622"
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"@esbuild/android-arm64@0.19.12":
version "0.19.12"
resolved "https://registry.yarnpkg.com/@esbuild/android-arm64/-/android-arm64-0.19.12.tgz#7ad65a36cfdb7e0d429c353e00f680d737c2aed4"
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"@esbuild/android-arm@0.18.20":
version "0.18.20"
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"@esbuild/android-x64@0.19.12":
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resolved "https://registry.yarnpkg.com/@esbuild/win32-x64/-/win32-x64-0.19.12.tgz#c57c8afbb4054a3ab8317591a0b7320360b444ae"
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resolved "https://registry.yarnpkg.com/@huggingface/jinja/-/jinja-0.2.2.tgz#faeb205a9d6995089bef52655ddd8245d3190627"
@ -66,6 +321,34 @@
"@jridgewell/resolve-uri" "^3.0.3"
"@jridgewell/sourcemap-codec" "^1.4.10"
"@langchain/anthropic@^0.2.3":
version "0.2.3"
resolved "https://registry.yarnpkg.com/@langchain/anthropic/-/anthropic-0.2.3.tgz#1505da939f47c90e53dfede0407c497b8177bdf0"
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dependencies:
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"@langchain/core" ">=0.2.9 <0.3.0"
fast-xml-parser "^4.3.5"
zod "^3.22.4"
zod-to-json-schema "^3.22.4"
"@langchain/community@^0.2.16":
version "0.2.16"
resolved "https://registry.yarnpkg.com/@langchain/community/-/community-0.2.16.tgz#5888baf7fc7ea272c5f91aaa0e71bc444167262d"
integrity sha512-dFDcMabKACvuRd0w6EIRLWf1ubPGZEeEwFt9v1jiEr4HCFxH0OF+iM1QUCcVRbB2fK5lqmKeTD1XAeZV8+AyXA==
dependencies:
"@langchain/core" "~0.2.11"
"@langchain/openai" "~0.1.0"
binary-extensions "^2.2.0"
expr-eval "^2.0.2"
flat "^5.0.2"
js-yaml "^4.1.0"
langchain "0.2.3"
langsmith "~0.1.30"
uuid "^9.0.0"
zod "^3.22.3"
zod-to-json-schema "^3.22.5"
"@langchain/community@~0.0.41":
version "0.0.43"
resolved "https://registry.yarnpkg.com/@langchain/community/-/community-0.0.43.tgz#017e2f9b3209b3999482f10df5aec2520731a63c"
@ -79,6 +362,42 @@
uuid "^9.0.0"
zod "^3.22.3"
"@langchain/core@>0.1.56 <0.3.0", "@langchain/core@>0.2.0 <0.3.0", "@langchain/core@>=0.2.5 <0.3.0", "@langchain/core@~0.2.0", "@langchain/core@~0.2.11":
version "0.2.11"
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.2.11.tgz#5f47467e20e56b250831baef20083657c6facb4c"
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dependencies:
ansi-styles "^5.0.0"
camelcase "6"
decamelize "1.2.0"
js-tiktoken "^1.0.12"
langsmith "~0.1.30"
ml-distance "^4.0.0"
mustache "^4.2.0"
p-queue "^6.6.2"
p-retry "4"
uuid "^9.0.0"
zod "^3.22.4"
zod-to-json-schema "^3.22.3"
"@langchain/core@>=0.2.9 <0.3.0":
version "0.2.15"
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.2.15.tgz#1bb99ac4fffe935c7ba37edcaa91abfba3c82219"
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dependencies:
ansi-styles "^5.0.0"
camelcase "6"
decamelize "1.2.0"
js-tiktoken "^1.0.12"
langsmith "~0.1.30"
ml-distance "^4.0.0"
mustache "^4.2.0"
p-queue "^6.6.2"
p-retry "4"
uuid "^10.0.0"
zod "^3.22.4"
zod-to-json-schema "^3.22.3"
"@langchain/core@~0.1.44", "@langchain/core@~0.1.45":
version "0.1.52"
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.1.52.tgz#7619310b83ffa841628efe2e1eda873ca714d068"
@ -107,6 +426,36 @@
zod "^3.22.4"
zod-to-json-schema "^3.22.3"
"@langchain/openai@~0.0.28":
version "0.0.34"
resolved "https://registry.yarnpkg.com/@langchain/openai/-/openai-0.0.34.tgz#36c9bca0721ab9f7e5d40927e7c0429cacbd5b56"
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dependencies:
"@langchain/core" ">0.1.56 <0.3.0"
js-tiktoken "^1.0.12"
openai "^4.41.1"
zod "^3.22.4"
zod-to-json-schema "^3.22.3"
"@langchain/openai@~0.1.0":
version "0.1.3"
resolved "https://registry.yarnpkg.com/@langchain/openai/-/openai-0.1.3.tgz#6eb0994e970d85ffa9aaeafb94449024ccf6ca63"
integrity sha512-riv/JC9x2A8b7GcHu8sx+mlZJ8KAwSSi231IPTlcciYnKozmrQ5H0vrtiD31fxiDbaRsk7tyCpkSBIOQEo7CyQ==
dependencies:
"@langchain/core" ">=0.2.5 <0.3.0"
js-tiktoken "^1.0.12"
openai "^4.49.1"
zod "^3.22.4"
zod-to-json-schema "^3.22.3"
"@langchain/textsplitters@~0.0.0":
version "0.0.3"
resolved "https://registry.yarnpkg.com/@langchain/textsplitters/-/textsplitters-0.0.3.tgz#1a3cc93dd2ab330edb225400ded190a22fea14e3"
integrity sha512-cXWgKE3sdWLSqAa8ykbCcUsUF1Kyr5J3HOWYGuobhPEycXW4WI++d5DhzdpL238mzoEXTi90VqfSCra37l5YqA==
dependencies:
"@langchain/core" ">0.2.0 <0.3.0"
js-tiktoken "^1.0.12"
"@protobufjs/aspromise@^1.1.1", "@protobufjs/aspromise@^1.1.2":
version "1.1.2"
resolved "https://registry.yarnpkg.com/@protobufjs/aspromise/-/aspromise-1.1.2.tgz#9b8b0cc663d669a7d8f6f5d0893a14d348f30fbf"
@ -160,6 +509,14 @@
resolved "https://registry.yarnpkg.com/@protobufjs/utf8/-/utf8-1.1.0.tgz#a777360b5b39a1a2e5106f8e858f2fd2d060c570"
integrity sha512-Vvn3zZrhQZkkBE8LSuW3em98c0FwgO4nxzv6OdSxPKJIEKY2bGbHn+mhGIPerzI4twdxaP8/0+06HBpwf345Lw==
"@selderee/plugin-htmlparser2@^0.11.0":
version "0.11.0"
resolved "https://registry.yarnpkg.com/@selderee/plugin-htmlparser2/-/plugin-htmlparser2-0.11.0.tgz#d5b5e29a7ba6d3958a1972c7be16f4b2c188c517"
integrity sha512-P33hHGdldxGabLFjPPpaTxVolMrzrcegejx+0GxjrIb9Zv48D8yAIA/QTDR2dFl7Uz7urX8aX6+5bCZslr+gWQ==
dependencies:
domhandler "^5.0.3"
selderee "^0.11.0"
"@tsconfig/node10@^1.0.7":
version "1.0.11"
resolved "https://registry.yarnpkg.com/@tsconfig/node10/-/node10-1.0.11.tgz#6ee46400685f130e278128c7b38b7e031ff5b2f2"
@ -180,6 +537,13 @@
resolved "https://registry.yarnpkg.com/@tsconfig/node16/-/node16-1.0.4.tgz#0b92dcc0cc1c81f6f306a381f28e31b1a56536e9"
integrity sha512-vxhUy4J8lyeyinH7Azl1pdd43GJhZH/tP2weN8TntQblOY+A0XbT8DJk1/oCPuOOyg/Ja757rG0CgHcWC8OfMA==
"@types/better-sqlite3@^7.6.10":
version "7.6.10"
resolved "https://registry.yarnpkg.com/@types/better-sqlite3/-/better-sqlite3-7.6.10.tgz#1818e56490953404acfd44cdde0464f201be6105"
integrity sha512-TZBjD+yOsyrUJGmcUj6OS3JADk3+UZcNv3NOBqGkM09bZdi28fNZw8ODqbMOLfKCu7RYCO62/ldq1iHbzxqoPw==
dependencies:
"@types/node" "*"
"@types/body-parser@*":
version "1.19.5"
resolved "https://registry.yarnpkg.com/@types/body-parser/-/body-parser-1.19.5.tgz#04ce9a3b677dc8bd681a17da1ab9835dc9d3ede4"
@ -222,6 +586,11 @@
"@types/qs" "*"
"@types/serve-static" "*"
"@types/html-to-text@^9.0.4":
version "9.0.4"
resolved "https://registry.yarnpkg.com/@types/html-to-text/-/html-to-text-9.0.4.tgz#4a83dd8ae8bfa91457d0b1ffc26f4d0537eff58c"
integrity sha512-pUY3cKH/Nm2yYrEmDlPR1mR7yszjGx4DrwPjQ702C4/D5CwHuZTgZdIdwPkRbcuhs7BAh2L5rg3CL5cbRiGTCQ==
"@types/http-errors@*":
version "2.0.4"
resolved "https://registry.yarnpkg.com/@types/http-errors/-/http-errors-2.0.4.tgz#7eb47726c391b7345a6ec35ad7f4de469cf5ba4f"
@ -266,6 +635,11 @@
dependencies:
undici-types "~5.26.4"
"@types/pdf-parse@^1.1.4":
version "1.1.4"
resolved "https://registry.yarnpkg.com/@types/pdf-parse/-/pdf-parse-1.1.4.tgz#21a539efd2f16009d08aeed3350133948b5d7ed1"
integrity sha512-+gbBHbNCVGGYw1S9lAIIvrHW47UYOhMIFUsJcMkMrzy1Jf0vulBN3XQIjPgnoOXveMuHnF3b57fXROnY/Or7eg==
"@types/qs@*":
version "6.9.14"
resolved "https://registry.yarnpkg.com/@types/qs/-/qs-6.9.14.tgz#169e142bfe493895287bee382af6039795e9b75b"
@ -464,6 +838,14 @@ base64-js@^1.3.1, base64-js@^1.5.1:
resolved "https://registry.yarnpkg.com/base64-js/-/base64-js-1.5.1.tgz#1b1b440160a5bf7ad40b650f095963481903930a"
integrity sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==
better-sqlite3@^11.0.0:
version "11.0.0"
resolved "https://registry.yarnpkg.com/better-sqlite3/-/better-sqlite3-11.0.0.tgz#12083acfe0ded6abdba908ed73520f2003e3ea0e"
integrity sha512-1NnNhmT3EZTsKtofJlMox1jkMxdedILury74PwUbQBjWgo4tL4kf7uTAjU55mgQwjdzqakSTjkf+E1imrFwjnA==
dependencies:
bindings "^1.5.0"
prebuild-install "^7.1.1"
binary-extensions@^2.0.0, binary-extensions@^2.2.0:
version "2.3.0"
resolved "https://registry.yarnpkg.com/binary-extensions/-/binary-extensions-2.3.0.tgz#f6e14a97858d327252200242d4ccfe522c445522"
@ -474,6 +856,13 @@ binary-search@^1.3.5:
resolved "https://registry.yarnpkg.com/binary-search/-/binary-search-1.3.6.tgz#e32426016a0c5092f0f3598836a1c7da3560565c"
integrity sha512-nbE1WxOTTrUWIfsfZ4aHGYu5DOuNkbxGokjV6Z2kxfJK3uaAb8zNK1muzOeipoLHZjInT4Br88BHpzevc681xA==
bindings@^1.5.0:
version "1.5.0"
resolved "https://registry.yarnpkg.com/bindings/-/bindings-1.5.0.tgz#10353c9e945334bc0511a6d90b38fbc7c9c504df"
integrity sha512-p2q/t/mhvuOj/UeLlV6566GD/guowlr0hHxClI0W9m7MWYkL1F0hLo+0Aexs9HSPCtR1SXQ0TD3MMKrXZajbiQ==
dependencies:
file-uri-to-path "1.0.0"
bl@^4.0.3:
version "4.1.0"
resolved "https://registry.yarnpkg.com/bl/-/bl-4.1.0.tgz#451535264182bec2fbbc83a62ab98cf11d9f7b3a"
@ -516,6 +905,11 @@ braces@~3.0.2:
dependencies:
fill-range "^7.0.1"
buffer-from@^1.0.0:
version "1.1.2"
resolved "https://registry.yarnpkg.com/buffer-from/-/buffer-from-1.1.2.tgz#2b146a6fd72e80b4f55d255f35ed59a3a9a41bd5"
integrity sha512-E+XQCRwSbaaiChtv6k6Dwgc+bx+Bs6vuKJHHl5kox/BaKbhiXzqQOwK4cO22yElGp2OCmjwVhT3HmxgyPGnJfQ==
buffer@^5.5.0:
version "5.7.1"
resolved "https://registry.yarnpkg.com/buffer/-/buffer-5.7.1.tgz#ba62e7c13133053582197160851a8f648e99eed0"
@ -716,6 +1110,13 @@ debug@2.6.9:
dependencies:
ms "2.0.0"
debug@^3.1.0:
version "3.2.7"
resolved "https://registry.yarnpkg.com/debug/-/debug-3.2.7.tgz#72580b7e9145fb39b6676f9c5e5fb100b934179a"
integrity sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ==
dependencies:
ms "^2.1.1"
debug@^4:
version "4.3.4"
resolved "https://registry.yarnpkg.com/debug/-/debug-4.3.4.tgz#1319f6579357f2338d3337d2cdd4914bb5dcc865"
@ -723,6 +1124,13 @@ debug@^4:
dependencies:
ms "2.1.2"
debug@^4.3.4:
version "4.3.5"
resolved "https://registry.yarnpkg.com/debug/-/debug-4.3.5.tgz#e83444eceb9fedd4a1da56d671ae2446a01a6e1e"
integrity sha512-pt0bNEmneDIvdL1Xsd9oDQ/wrQRkXDT4AUWlNZNPKvW5x/jyO9VFXkJUP07vQ2upmw5PlaITaPKc31jK13V+jg==
dependencies:
ms "2.1.2"
decamelize@1.2.0:
version "1.2.0"
resolved "https://registry.yarnpkg.com/decamelize/-/decamelize-1.2.0.tgz#f6534d15148269b20352e7bee26f501f9a191290"
@ -740,6 +1148,11 @@ deep-extend@^0.6.0:
resolved "https://registry.yarnpkg.com/deep-extend/-/deep-extend-0.6.0.tgz#c4fa7c95404a17a9c3e8ca7e1537312b736330ac"
integrity sha512-LOHxIOaPYdHlJRtCQfDIVZtfw/ufM8+rVj649RIHzcm/vGwQRXFt6OPqIFWsm2XEMrNIEtWR64sY1LEKD2vAOA==
deepmerge@^4.3.1:
version "4.3.1"
resolved "https://registry.yarnpkg.com/deepmerge/-/deepmerge-4.3.1.tgz#44b5f2147cd3b00d4b56137685966f26fd25dd4a"
integrity sha512-3sUqbMEc77XqpdNO7FRyRog+eW3ph+GYCbj+rK+uYyRMuwsVy0rMiVtPn+QJlKFvWP/1PYpapqYn0Me2knFn+A==
define-data-property@^1.1.4:
version "1.1.4"
resolved "https://registry.yarnpkg.com/define-data-property/-/define-data-property-1.1.4.tgz#894dc141bb7d3060ae4366f6a0107e68fbe48c5e"
@ -782,11 +1195,55 @@ digest-fetch@^1.3.0:
base-64 "^0.1.0"
md5 "^2.3.0"
dom-serializer@^2.0.0:
version "2.0.0"
resolved "https://registry.yarnpkg.com/dom-serializer/-/dom-serializer-2.0.0.tgz#e41b802e1eedf9f6cae183ce5e622d789d7d8e53"
integrity sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==
dependencies:
domelementtype "^2.3.0"
domhandler "^5.0.2"
entities "^4.2.0"
domelementtype@^2.3.0:
version "2.3.0"
resolved "https://registry.yarnpkg.com/domelementtype/-/domelementtype-2.3.0.tgz#5c45e8e869952626331d7aab326d01daf65d589d"
integrity sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==
domhandler@^5.0.2, domhandler@^5.0.3:
version "5.0.3"
resolved "https://registry.yarnpkg.com/domhandler/-/domhandler-5.0.3.tgz#cc385f7f751f1d1fc650c21374804254538c7d31"
integrity sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==
dependencies:
domelementtype "^2.3.0"
domutils@^3.0.1:
version "3.1.0"
resolved "https://registry.yarnpkg.com/domutils/-/domutils-3.1.0.tgz#c47f551278d3dc4b0b1ab8cbb42d751a6f0d824e"
integrity sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==
dependencies:
dom-serializer "^2.0.0"
domelementtype "^2.3.0"
domhandler "^5.0.3"
dotenv@^16.4.5:
version "16.4.5"
resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-16.4.5.tgz#cdd3b3b604cb327e286b4762e13502f717cb099f"
integrity sha512-ZmdL2rui+eB2YwhsWzjInR8LldtZHGDoQ1ugH85ppHKwpUHL7j7rN0Ti9NCnGiQbhaZ11FpR+7ao1dNsmduNUg==
drizzle-kit@^0.22.7:
version "0.22.7"
resolved "https://registry.yarnpkg.com/drizzle-kit/-/drizzle-kit-0.22.7.tgz#4339c3e24c6555ea8cbad605f005b3db3e604a9c"
integrity sha512-9THPCb2l1GPt7wxhws9LvTR0YG565ZlVgTuqGMwjs590Kch1pXu4GyjEArVijSF5m0OBj3qgdeKmuJXhKXgWFw==
dependencies:
"@esbuild-kit/esm-loader" "^2.5.5"
esbuild "^0.19.7"
esbuild-register "^3.5.0"
drizzle-orm@^0.31.2:
version "0.31.2"
resolved "https://registry.yarnpkg.com/drizzle-orm/-/drizzle-orm-0.31.2.tgz#221a257dd487bab49ddb88a17bd82388600cf655"
integrity sha512-QnenevbnnAzmbNzQwbhklvIYrDE8YER8K7kSrAWQSV1YvFCdSQPzj+jzqRdTSsV2cDqSpQ0NXGyL1G9I43LDLg==
ee-first@1.1.1:
version "1.1.1"
resolved "https://registry.yarnpkg.com/ee-first/-/ee-first-1.1.1.tgz#590c61156b0ae2f4f0255732a158b266bc56b21d"
@ -809,6 +1266,11 @@ end-of-stream@^1.1.0, end-of-stream@^1.4.1:
dependencies:
once "^1.4.0"
entities@^4.2.0, entities@^4.4.0:
version "4.5.0"
resolved "https://registry.yarnpkg.com/entities/-/entities-4.5.0.tgz#5d268ea5e7113ec74c4d033b79ea5a35a488fb48"
integrity sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==
es-define-property@^1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/es-define-property/-/es-define-property-1.0.0.tgz#c7faefbdff8b2696cf5f46921edfb77cc4ba3845"
@ -821,6 +1283,70 @@ es-errors@^1.3.0:
resolved "https://registry.yarnpkg.com/es-errors/-/es-errors-1.3.0.tgz#05f75a25dab98e4fb1dcd5e1472c0546d5057c8f"
integrity sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw==
esbuild-register@^3.5.0:
version "3.5.0"
resolved "https://registry.yarnpkg.com/esbuild-register/-/esbuild-register-3.5.0.tgz#449613fb29ab94325c722f560f800dd946dc8ea8"
integrity sha512-+4G/XmakeBAsvJuDugJvtyF1x+XJT4FMocynNpxrvEBViirpfUn2PgNpCHedfWhF4WokNsO/OvMKrmJOIJsI5A==
dependencies:
debug "^4.3.4"
esbuild@^0.19.7:
version "0.19.12"
resolved "https://registry.yarnpkg.com/esbuild/-/esbuild-0.19.12.tgz#dc82ee5dc79e82f5a5c3b4323a2a641827db3e04"
integrity sha512-aARqgq8roFBj054KvQr5f1sFu0D65G+miZRCuJyJ0G13Zwx7vRar5Zhn2tkQNzIXcBrNVsv/8stehpj+GAjgbg==
optionalDependencies:
"@esbuild/aix-ppc64" "0.19.12"
"@esbuild/android-arm" "0.19.12"
"@esbuild/android-arm64" "0.19.12"
"@esbuild/android-x64" "0.19.12"
"@esbuild/darwin-arm64" "0.19.12"
"@esbuild/darwin-x64" "0.19.12"
"@esbuild/freebsd-arm64" "0.19.12"
"@esbuild/freebsd-x64" "0.19.12"
"@esbuild/linux-arm" "0.19.12"
"@esbuild/linux-arm64" "0.19.12"
"@esbuild/linux-ia32" "0.19.12"
"@esbuild/linux-loong64" "0.19.12"
"@esbuild/linux-mips64el" "0.19.12"
"@esbuild/linux-ppc64" "0.19.12"
"@esbuild/linux-riscv64" "0.19.12"
"@esbuild/linux-s390x" "0.19.12"
"@esbuild/linux-x64" "0.19.12"
"@esbuild/netbsd-x64" "0.19.12"
"@esbuild/openbsd-x64" "0.19.12"
"@esbuild/sunos-x64" "0.19.12"
"@esbuild/win32-arm64" "0.19.12"
"@esbuild/win32-ia32" "0.19.12"
"@esbuild/win32-x64" "0.19.12"
esbuild@~0.18.20:
version "0.18.20"
resolved "https://registry.yarnpkg.com/esbuild/-/esbuild-0.18.20.tgz#4709f5a34801b43b799ab7d6d82f7284a9b7a7a6"
integrity sha512-ceqxoedUrcayh7Y7ZX6NdbbDzGROiyVBgC4PriJThBKSVPWnnFHZAkfI1lJT8QFkOwH4qOS2SJkS4wvpGl8BpA==
optionalDependencies:
"@esbuild/android-arm" "0.18.20"
"@esbuild/android-arm64" "0.18.20"
"@esbuild/android-x64" "0.18.20"
"@esbuild/darwin-arm64" "0.18.20"
"@esbuild/darwin-x64" "0.18.20"
"@esbuild/freebsd-arm64" "0.18.20"
"@esbuild/freebsd-x64" "0.18.20"
"@esbuild/linux-arm" "0.18.20"
"@esbuild/linux-arm64" "0.18.20"
"@esbuild/linux-ia32" "0.18.20"
"@esbuild/linux-loong64" "0.18.20"
"@esbuild/linux-mips64el" "0.18.20"
"@esbuild/linux-ppc64" "0.18.20"
"@esbuild/linux-riscv64" "0.18.20"
"@esbuild/linux-s390x" "0.18.20"
"@esbuild/linux-x64" "0.18.20"
"@esbuild/netbsd-x64" "0.18.20"
"@esbuild/openbsd-x64" "0.18.20"
"@esbuild/sunos-x64" "0.18.20"
"@esbuild/win32-arm64" "0.18.20"
"@esbuild/win32-ia32" "0.18.20"
"@esbuild/win32-x64" "0.18.20"
escape-html@~1.0.3:
version "1.0.3"
resolved "https://registry.yarnpkg.com/escape-html/-/escape-html-1.0.3.tgz#0258eae4d3d0c0974de1c169188ef0051d1d1988"
@ -893,11 +1419,23 @@ fast-fifo@^1.1.0, fast-fifo@^1.2.0:
resolved "https://registry.yarnpkg.com/fast-fifo/-/fast-fifo-1.3.2.tgz#286e31de96eb96d38a97899815740ba2a4f3640c"
integrity sha512-/d9sfos4yxzpwkDkuN7k2SqFKtYNmCTzgfEpz82x34IM9/zc8KGxQoXg1liNC/izpRM/MBdt44Nmx41ZWqk+FQ==
fast-xml-parser@^4.3.5:
version "4.4.0"
resolved "https://registry.yarnpkg.com/fast-xml-parser/-/fast-xml-parser-4.4.0.tgz#341cc98de71e9ba9e651a67f41f1752d1441a501"
integrity sha512-kLY3jFlwIYwBNDojclKsNAC12sfD6NwW74QB2CoNGPvtVxjliYehVunB3HYyNi+n4Tt1dAcgwYvmKF/Z18flqg==
dependencies:
strnum "^1.0.5"
fecha@^4.2.0:
version "4.2.3"
resolved "https://registry.yarnpkg.com/fecha/-/fecha-4.2.3.tgz#4d9ccdbc61e8629b259fdca67e65891448d569fd"
integrity sha512-OP2IUU6HeYKJi3i0z4A19kHMQoLVs4Hc+DPqqxI2h/DPZHTm/vjsfC6P0b4jCMy14XizLBqvndQ+UilD7707Jw==
file-uri-to-path@1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/file-uri-to-path/-/file-uri-to-path-1.0.0.tgz#553a7b8446ff6f684359c445f1e37a05dacc33dd"
integrity sha512-0Zt+s3L7Vf1biwWZ29aARiVYLx7iMGnEUl9x33fbB/j3jR81u/O2LbqK+Bm1CDSNDKVtJ/YjwY7TUd5SkeLQLw==
fill-range@^7.0.1:
version "7.0.1"
resolved "https://registry.yarnpkg.com/fill-range/-/fill-range-7.0.1.tgz#1919a6a7c75fe38b2c7c77e5198535da9acdda40"
@ -996,6 +1534,13 @@ get-intrinsic@^1.1.3, get-intrinsic@^1.2.4:
has-symbols "^1.0.3"
hasown "^2.0.0"
get-tsconfig@^4.7.0:
version "4.7.5"
resolved "https://registry.yarnpkg.com/get-tsconfig/-/get-tsconfig-4.7.5.tgz#5e012498579e9a6947511ed0cd403272c7acbbaf"
integrity sha512-ZCuZCnlqNzjb4QprAzXKdpp/gh6KTxSJuw3IBsPnV/7fV4NxC9ckB+vPTt8w7fJA0TaSD7c55BR47JD6MEDyDw==
dependencies:
resolve-pkg-maps "^1.0.0"
github-from-package@0.0.0:
version "0.0.0"
resolved "https://registry.yarnpkg.com/github-from-package/-/github-from-package-0.0.0.tgz#97fb5d96bfde8973313f20e8288ef9a167fa64ce"
@ -1049,6 +1594,27 @@ hasown@^2.0.0:
dependencies:
function-bind "^1.1.2"
html-to-text@^9.0.5:
version "9.0.5"
resolved "https://registry.yarnpkg.com/html-to-text/-/html-to-text-9.0.5.tgz#6149a0f618ae7a0db8085dca9bbf96d32bb8368d"
integrity sha512-qY60FjREgVZL03vJU6IfMV4GDjGBIoOyvuFdpBDIX9yTlDw0TjxVBQp+P8NvpdIXNJvfWBTNul7fsAQJq2FNpg==
dependencies:
"@selderee/plugin-htmlparser2" "^0.11.0"
deepmerge "^4.3.1"
dom-serializer "^2.0.0"
htmlparser2 "^8.0.2"
selderee "^0.11.0"
htmlparser2@^8.0.2:
version "8.0.2"
resolved "https://registry.yarnpkg.com/htmlparser2/-/htmlparser2-8.0.2.tgz#f002151705b383e62433b5cf466f5b716edaec21"
integrity sha512-GYdjWKDkbRLkZ5geuHs5NY1puJ+PXwP7+fHPRz06Eirsb9ugf6d8kkXav6ADhcODhFFPMIXyxkxSuMf3D6NCFA==
dependencies:
domelementtype "^2.3.0"
domhandler "^5.0.3"
domutils "^3.0.1"
entities "^4.4.0"
http-errors@2.0.0:
version "2.0.0"
resolved "https://registry.yarnpkg.com/http-errors/-/http-errors-2.0.0.tgz#b7774a1486ef73cf7667ac9ae0858c012c57b9d3"
@ -1143,6 +1709,13 @@ is-stream@^2.0.0:
resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-2.0.1.tgz#fac1e3d53b97ad5a9d0ae9cef2389f5810a5c077"
integrity sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==
js-tiktoken@^1.0.12:
version "1.0.12"
resolved "https://registry.yarnpkg.com/js-tiktoken/-/js-tiktoken-1.0.12.tgz#af0f5cf58e5e7318240d050c8413234019424211"
integrity sha512-L7wURW1fH9Qaext0VzaUDpFGVQgjkdE3Dgsy9/+yXyGEpBKnylTd0mU0bfbNkKDlXRb6TEsZkwuflu1B8uQbJQ==
dependencies:
base64-js "^1.5.1"
js-tiktoken@^1.0.7, js-tiktoken@^1.0.8:
version "1.0.10"
resolved "https://registry.yarnpkg.com/js-tiktoken/-/js-tiktoken-1.0.10.tgz#2b343ec169399dcee8f9ef9807dbd4fafd3b30dc"
@ -1167,6 +1740,28 @@ kuler@^2.0.0:
resolved "https://registry.yarnpkg.com/kuler/-/kuler-2.0.0.tgz#e2c570a3800388fb44407e851531c1d670b061b3"
integrity sha512-Xq9nH7KlWZmXAtodXDDRE7vs6DU1gTU8zYDHDiWLSip45Egwq3plLHzPn27NgvzL2r1LMPC1vdqh98sQxtqj4A==
langchain@0.2.3:
version "0.2.3"
resolved "https://registry.yarnpkg.com/langchain/-/langchain-0.2.3.tgz#c14bb05cf871b21bd63b84b3ab89580b1d62539f"
integrity sha512-T9xR7zd+Nj0oXy6WoYKmZLy0DlQiDLFPGYWdOXDxy+AvqlujoPdVQgDSpdqiOHvAjezrByAoKxoHCz5XMwTP/Q==
dependencies:
"@langchain/core" "~0.2.0"
"@langchain/openai" "~0.0.28"
"@langchain/textsplitters" "~0.0.0"
binary-extensions "^2.2.0"
js-tiktoken "^1.0.12"
js-yaml "^4.1.0"
jsonpointer "^5.0.1"
langchainhub "~0.0.8"
langsmith "~0.1.7"
ml-distance "^4.0.0"
openapi-types "^12.1.3"
p-retry "4"
uuid "^9.0.0"
yaml "^2.2.1"
zod "^3.22.4"
zod-to-json-schema "^3.22.3"
langchain@^0.1.30:
version "0.1.30"
resolved "https://registry.yarnpkg.com/langchain/-/langchain-0.1.30.tgz#e1adb3f1849fcd5c596c668300afd5dc8cb37a97"
@ -1206,6 +1801,28 @@ langsmith@~0.1.1, langsmith@~0.1.7:
p-retry "4"
uuid "^9.0.0"
langsmith@~0.1.30:
version "0.1.34"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.1.34.tgz#801310495fef258ed9c22bb5575120e2c06d51cf"
integrity sha512-aMv2k8kEaovhTuZnK6/6DMCoM7Jurvm1AzdESn+yN+HramRxp3sK32jFRz3ogkXP6GjAjOIofcnNkzhHXSUXGA==
dependencies:
"@types/uuid" "^9.0.1"
commander "^10.0.1"
lodash.set "^4.3.2"
p-queue "^6.6.2"
p-retry "4"
uuid "^9.0.0"
leac@^0.6.0:
version "0.6.0"
resolved "https://registry.yarnpkg.com/leac/-/leac-0.6.0.tgz#dcf136e382e666bd2475f44a1096061b70dc0912"
integrity sha512-y+SqErxb8h7nE/fiEX07jsbuhrpO9lL8eca7/Y1nuWV2moNlXhyd59iDGcRf6moVyDMbmTNzL40SUyrFU/yDpg==
lodash.set@^4.3.2:
version "4.3.2"
resolved "https://registry.yarnpkg.com/lodash.set/-/lodash.set-4.3.2.tgz#d8757b1da807dde24816b0d6a84bea1a76230b23"
integrity sha512-4hNPN5jlm/N/HLMCO43v8BXKq9Z7QdAGc/VGrRD61w8gN9g/6jF9A4L1pbUgBLCffi0w9VsXfTOij5x8iTyFvg==
logform@^2.3.2, logform@^2.4.0:
version "2.6.0"
resolved "https://registry.yarnpkg.com/logform/-/logform-2.6.0.tgz#8c82a983f05d6eaeb2d75e3decae7a768b2bf9b5"
@ -1349,6 +1966,11 @@ ms@2.1.3, ms@^2.0.0, ms@^2.1.1:
resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.3.tgz#574c8138ce1d2b5861f0b44579dbadd60c6615b2"
integrity sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==
mustache@^4.2.0:
version "4.2.0"
resolved "https://registry.yarnpkg.com/mustache/-/mustache-4.2.0.tgz#e5892324d60a12ec9c2a73359edca52972bf6f64"
integrity sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ==
napi-build-utils@^1.0.1:
version "1.0.2"
resolved "https://registry.yarnpkg.com/napi-build-utils/-/napi-build-utils-1.0.2.tgz#b1fddc0b2c46e380a0b7a76f984dd47c41a13806"
@ -1376,6 +1998,11 @@ node-domexception@1.0.0:
resolved "https://registry.yarnpkg.com/node-domexception/-/node-domexception-1.0.0.tgz#6888db46a1f71c0b76b3f7555016b63fe64766e5"
integrity sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==
node-ensure@^0.0.0:
version "0.0.0"
resolved "https://registry.yarnpkg.com/node-ensure/-/node-ensure-0.0.0.tgz#ecae764150de99861ec5c810fd5d096b183932a7"
integrity sha512-DRI60hzo2oKN1ma0ckc6nQWlHU69RH6xN0sjQTjMpChPfTYvKZdcQFfdYK2RWbJcKyUizSIy/l8OTGxMAM1QDw==
node-fetch@^2.6.7:
version "2.7.0"
resolved "https://registry.yarnpkg.com/node-fetch/-/node-fetch-2.7.0.tgz#d0f0fa6e3e2dc1d27efcd8ad99d550bda94d187d"
@ -1493,6 +2120,20 @@ openai@^4.26.0:
node-fetch "^2.6.7"
web-streams-polyfill "^3.2.1"
openai@^4.41.1, openai@^4.49.1:
version "4.52.2"
resolved "https://registry.yarnpkg.com/openai/-/openai-4.52.2.tgz#5d67271f3df84c0b54676b08990eaa9402151759"
integrity sha512-mMc0XgFuVSkcm0lRIi8zaw++otC82ZlfkCur1qguXYWPETr/+ZwL9A/vvp3YahX+shpaT6j03dwsmUyLAfmEfg==
dependencies:
"@types/node" "^18.11.18"
"@types/node-fetch" "^2.6.4"
abort-controller "^3.0.0"
agentkeepalive "^4.2.1"
form-data-encoder "1.7.2"
formdata-node "^4.3.2"
node-fetch "^2.6.7"
web-streams-polyfill "^3.2.1"
openapi-types@^12.1.3:
version "12.1.3"
resolved "https://registry.yarnpkg.com/openapi-types/-/openapi-types-12.1.3.tgz#471995eb26c4b97b7bd356aacf7b91b73e777dd3"
@ -1526,6 +2167,14 @@ p-timeout@^3.2.0:
dependencies:
p-finally "^1.0.0"
parseley@^0.12.0:
version "0.12.1"
resolved "https://registry.yarnpkg.com/parseley/-/parseley-0.12.1.tgz#4afd561d50215ebe259e3e7a853e62f600683aef"
integrity sha512-e6qHKe3a9HWr0oMRVDTRhKce+bRO8VGQR3NyVwcjwrbhMmFCX9KszEV35+rn4AdilFAq9VPxP/Fe1wC9Qjd2lw==
dependencies:
leac "^0.6.0"
peberminta "^0.9.0"
parseurl@~1.3.3:
version "1.3.3"
resolved "https://registry.yarnpkg.com/parseurl/-/parseurl-1.3.3.tgz#9da19e7bee8d12dff0513ed5b76957793bc2e8d4"
@ -1536,6 +2185,19 @@ path-to-regexp@0.1.7:
resolved "https://registry.yarnpkg.com/path-to-regexp/-/path-to-regexp-0.1.7.tgz#df604178005f522f15eb4490e7247a1bfaa67f8c"
integrity sha512-5DFkuoqlv1uYQKxy8omFBeJPQcdoE07Kv2sferDCrAq1ohOU+MSDswDIbnx3YAM60qIOnYa53wBhXW0EbMonrQ==
pdf-parse@^1.1.1:
version "1.1.1"
resolved "https://registry.yarnpkg.com/pdf-parse/-/pdf-parse-1.1.1.tgz#745e07408679548b3995ff896fd38e96e19d14a7"
integrity sha512-v6ZJ/efsBpGrGGknjtq9J/oC8tZWq0KWL5vQrk2GlzLEQPUDB1ex+13Rmidl1neNN358Jn9EHZw5y07FFtaC7A==
dependencies:
debug "^3.1.0"
node-ensure "^0.0.0"
peberminta@^0.9.0:
version "0.9.0"
resolved "https://registry.yarnpkg.com/peberminta/-/peberminta-0.9.0.tgz#8ec9bc0eb84b7d368126e71ce9033501dca2a352"
integrity sha512-XIxfHpEuSJbITd1H3EeQwpcZbTLHc+VVr8ANI9t5sit565tsI4/xK3KWTUFE2e6QiangUkh3B0jihzmGnNrRsQ==
picomatch@^2.0.4, picomatch@^2.2.1:
version "2.3.1"
resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-2.3.1.tgz#3ba3833733646d9d3e4995946c1365a67fb07a42"
@ -1667,6 +2329,11 @@ readdirp@~3.6.0:
dependencies:
picomatch "^2.2.1"
resolve-pkg-maps@^1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/resolve-pkg-maps/-/resolve-pkg-maps-1.0.0.tgz#616b3dc2c57056b5588c31cdf4b3d64db133720f"
integrity sha512-seS2Tj26TBVOC2NIc2rOe2y2ZO7efxITtLZcGSOnHHNOQ7CkiUBfw0Iw2ck6xkIhPwLhKNLS8BO+hEpngQlqzw==
retry@^0.13.1:
version "0.13.1"
resolved "https://registry.yarnpkg.com/retry/-/retry-0.13.1.tgz#185b1587acf67919d63b357349e03537b2484658"
@ -1692,6 +2359,13 @@ safe-stable-stringify@^2.3.1:
resolved "https://registry.yarnpkg.com/safer-buffer/-/safer-buffer-2.1.2.tgz#44fa161b0187b9549dd84bb91802f9bd8385cd6a"
integrity sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==
selderee@^0.11.0:
version "0.11.0"
resolved "https://registry.yarnpkg.com/selderee/-/selderee-0.11.0.tgz#6af0c7983e073ad3e35787ffe20cefd9daf0ec8a"
integrity sha512-5TF+l7p4+OsnP8BCCvSyZiSPc4x4//p5uPwK8TCnVPJYRmU2aYKMpOXvw8zM5a5JvuuCGN1jmsMwuU2W02ukfA==
dependencies:
parseley "^0.12.0"
semver@^7.3.5, semver@^7.5.3, semver@^7.5.4:
version "7.6.0"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.6.0.tgz#1a46a4db4bffcccd97b743b5005c8325f23d4e2d"
@ -1797,6 +2471,19 @@ simple-update-notifier@^2.0.0:
dependencies:
semver "^7.5.3"
source-map-support@^0.5.21:
version "0.5.21"
resolved "https://registry.yarnpkg.com/source-map-support/-/source-map-support-0.5.21.tgz#04fe7c7f9e1ed2d662233c28cb2b35b9f63f6e4f"
integrity sha512-uBHU3L3czsIyYXKX88fdrGovxdSCoTGDRZ6SYXtSRxLZUzHg5P/66Ht6uoUlHu9EZod+inXhKo3qQgwXUT/y1w==
dependencies:
buffer-from "^1.0.0"
source-map "^0.6.0"
source-map@^0.6.0:
version "0.6.1"
resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.6.1.tgz#74722af32e9614e9c287a8d0bbde48b5e2f1a263"
integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==
stack-trace@0.0.x:
version "0.0.10"
resolved "https://registry.yarnpkg.com/stack-trace/-/stack-trace-0.0.10.tgz#547c70b347e8d32b4e108ea1a2a159e5fdde19c0"
@ -1829,6 +2516,11 @@ strip-json-comments@~2.0.1:
resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-2.0.1.tgz#3c531942e908c2697c0ec344858c286c7ca0a60a"
integrity sha512-4gB8na07fecVVkOI6Rs4e7T6NOTki5EmL7TUduTs6bu3EdnSycntVJ4re8kgZA+wx9IueI2Y11bfbgwtzuE0KQ==
strnum@^1.0.5:
version "1.0.5"
resolved "https://registry.yarnpkg.com/strnum/-/strnum-1.0.5.tgz#5c4e829fe15ad4ff0d20c3db5ac97b73c9b072db"
integrity sha512-J8bbNyKKXl5qYcR36TIO8W3mVGVHrmmxsd5PAItGkmyzwJvybiw2IVq5nqd0i4LSNSkB/sx9VHllbfFdr9k1JA==
supports-color@^5.5.0:
version "5.5.0"
resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-5.5.0.tgz#e2e69a44ac8772f78a1ec0b35b689df6530efc8f"
@ -1975,6 +2667,11 @@ utils-merge@1.0.1:
resolved "https://registry.yarnpkg.com/utils-merge/-/utils-merge-1.0.1.tgz#9f95710f50a267947b2ccc124741c1028427e713"
integrity sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA==
uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
uuid@^9.0.0:
version "9.0.1"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-9.0.1.tgz#e188d4c8853cc722220392c424cd637f32293f30"
@ -2054,10 +2751,10 @@ wrappy@1:
resolved "https://registry.yarnpkg.com/wrappy/-/wrappy-1.0.2.tgz#b5243d8f3ec1aa35f1364605bc0d1036e30ab69f"
integrity sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==
ws@^8.16.0:
version "8.16.0"
resolved "https://registry.yarnpkg.com/ws/-/ws-8.16.0.tgz#d1cd774f36fbc07165066a60e40323eab6446fd4"
integrity sha512-HS0c//TP7Ina87TfiPUz1rQzMhHrl/SG2guqRcTOIUYD2q8uhUdNHZYJUaQ8aTGPzCh+c6oawMKW35nFl1dxyQ==
ws@^8.17.1:
version "8.17.1"
resolved "https://registry.yarnpkg.com/ws/-/ws-8.17.1.tgz#9293da530bb548febc95371d90f9c878727d919b"
integrity sha512-6XQFvXTkbfUOZOKKILFG1PDK2NDQs4azKQl26T0YS5CxqWLgXajbPZ+h4gZekJyRqFU8pvnbAbbs/3TgRPy+GQ==
yallist@^4.0.0:
version "4.0.0"
@ -2079,6 +2776,11 @@ zod-to-json-schema@^3.22.3:
resolved "https://registry.yarnpkg.com/zod-to-json-schema/-/zod-to-json-schema-3.22.5.tgz#3646e81cfc318dbad2a22519e5ce661615418673"
integrity sha512-+akaPo6a0zpVCCseDed504KBJUQpEW5QZw7RMneNmKw+fGaML1Z9tUNLnHHAC8x6dzVRO1eB2oEMyZRnuBZg7Q==
zod-to-json-schema@^3.22.4, zod-to-json-schema@^3.22.5:
version "3.23.1"
resolved "https://registry.yarnpkg.com/zod-to-json-schema/-/zod-to-json-schema-3.23.1.tgz#5225925b8ed5fa20096bd99be076c4b29b53d309"
integrity sha512-oT9INvydob1XV0v1d2IadrR74rLtDInLvDFfAa1CG0Pmg/vxATk7I2gSelfj271mbzeM4Da0uuDQE/Nkj3DWNw==
zod@^3.22.3, zod@^3.22.4:
version "3.22.4"
resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.4.tgz#f31c3a9386f61b1f228af56faa9255e845cf3fff"