The open-source AI chat app for everyone.
View the latest demo here.
Hey everyone! I've heard your feedback and am working hard on a big update.
Things like simpler deployment, better backend compatibility, and improved mobile layouts are on their way.
Be back soon.
-- Mckay
Use Chatbot UI without having to host it yourself!
Find the official hosted version of Chatbot UI here.
If you find Chatbot UI useful, please consider sponsoring me to support my open-source work :)
We restrict "Issues" to actual issues related to the codebase.
We're getting excessive amounts of issues that amount to things like feature requests, cloud provider issues, etc.
If you are having issues with things like setup, please refer to the "Help" section in the "Discussions" tab above.
Issues unrelated to the codebase will likely be closed immediately.
We highly encourage you to participate in the "Discussions" tab above!
Discussions are a great place to ask questions, share ideas, and get help.
Odds are if you have a question, someone else has the same question.
Chatbot UI was recently updated to its 2.0 version.
The code for 1.0 can be found on the legacy
branch.
In your terminal at the root of your local Chatbot UI repository, run:
npm run update
If you run a hosted instance you'll also need to run:
npm run db-push
to apply the latest migrations to your live database.
Follow these steps to get your own Chatbot UI instance running locally.
You can watch the full video tutorial here.
git clone https://github.com/mckaywrigley/chatbot-ui.git
Open a terminal in the root directory of your local Chatbot UI repository and run:
npm install
Previously, we used local browser storage to store data. However, this was not a good solution for a few reasons:
- Security issues
- Limited storage
- Limits multi-modal use cases
We now use Supabase because it's easy to use, it's open-source, it's Postgres, and it has a free tier for hosted instances.
We will support other providers in the future to give you more options.
You will need to install Docker to run Supabase locally. You can download it here for free.
MacOS/Linux
brew install supabase/tap/supabase
Windows
scoop bucket add supabase https://github.com/supabase/scoop-bucket.git
scoop install supabase
In your terminal at the root of your local Chatbot UI repository, run:
supabase start
In your terminal at the root of your local Chatbot UI repository, run:
cp .env.local.example .env.local
Get the required values by running:
supabase status
Note: Use API URL
from supabase status
for NEXT_PUBLIC_SUPABASE_URL
Now go to your .env.local
file and fill in the values.
If the environment variable is set, it will disable the input in the user settings.
In the 1st migration file supabase/migrations/20240108234540_setup.sql
you will need to replace 2 values with the values you got above:
project_url
(line 53):http://supabase_kong_chatbotui:8000
(default) can remain unchanged if you don't change yourproject_id
in theconfig.toml
fileservice_role_key
(line 54): You got this value from runningsupabase status
This prevents issues with storage files not being deleted properly.
Follow the instructions here.
In your terminal at the root of your local Chatbot UI repository, run:
npm run chat
Your local instance of Chatbot UI should now be running at http://localhost:3000. Be sure to use a compatible node version (i.e. v18).
You can view your backend GUI at http://localhost:54323/project/default/editor.
Follow these steps to get your own Chatbot UI instance running in the cloud.
Video tutorial coming soon.
Repeat steps 1-4 in "Local Quickstart" above.
You will want separate repositories for your local and hosted instances.
Create a new repository for your hosted instance of Chatbot UI on GitHub and push your code to it.
Go to Supabase and create a new project.
Once you are in the project dashboard, click on the "Project Settings" icon tab on the far bottom left.
Here you will get the values for the following environment variables:
-
Project Ref
: Found in "General settings" as "Reference ID" -
Project ID
: Found in the URL of your project dashboard (Ex: https://supabase.com/dashboard/project/<YOUR_PROJECT_ID>/settings/general)
While still in "Settings" click on the "API" text tab on the left.
Here you will get the values for the following environment variables:
-
Project URL
: Found in "API Settings" as "Project URL" -
Anon key
: Found in "Project API keys" as "anon public" -
Service role key
: Found in "Project API keys" as "service_role" (Reminder: Treat this like a password!)
Next, click on the "Authentication" icon tab on the far left.
In the text tabs, click on "Providers" and make sure "Email" is enabled.
We recommend turning off "Confirm email" for your own personal instance.
Open up your repository for your hosted instance of Chatbot UI.
In the 1st migration file supabase/migrations/20240108234540_setup.sql
you will need to replace 2 values with the values you got above:
project_url
(line 53): Use theProject URL
value from aboveservice_role_key
(line 54): Use theService role key
value from above
Now, open a terminal in the root directory of your local Chatbot UI repository. We will execute a few commands here.
Login to Supabase by running:
supabase login
Next, link your project by running the following command with the "Project ID" you got above:
supabase link --project-ref <project-id>
Your project should now be linked.
Finally, push your database to Supabase by running:
supabase db push
Your hosted database should now be set up!
Go to Vercel and create a new project.
In the setup page, import your GitHub repository for your hosted instance of Chatbot UI. Within the project Settings, in the "Build & Development Settings" section, switch Framework Preset to "Next.js".
In environment variables, add the following from the values you got above:
NEXT_PUBLIC_SUPABASE_URL
NEXT_PUBLIC_SUPABASE_ANON_KEY
SUPABASE_SERVICE_ROLE_KEY
NEXT_PUBLIC_OLLAMA_URL
(only needed when using local Ollama models; default:http://localhost:11434
)
You can also add API keys as environment variables.
OPENAI_API_KEY
AZURE_OPENAI_API_KEY
AZURE_OPENAI_ENDPOINT
AZURE_GPT_45_VISION_NAME
For the full list of environment variables, refer to the '.env.local.example' file. If the environment variables are set for API keys, it will disable the input in the user settings.
Click "Deploy" and wait for your frontend to deploy.
Once deployed, you should be able to use your hosted instance of Chatbot UI via the URL Vercel gives you.
We've introduced a new feature that allows every user to access a set of platform tools directly within the application. These tools are designed to enhance your productivity and streamline your workflow. Here's a quick overview of the tools currently available:
- Web Scraper Tool: This tool fetches data from a URL and returns it in markdown format to the LLM. It's perfect for quickly grabbing content from web pages without having to manually copy and paste or write markdown.
For adding or removing platform tools, consult the platformToolsList.ts document.
To introduce a new tool, utilize the PlatformTool
interface and incorporate it into the aforementioned list. For a practical illustration, examine the webScraperTool.ts example.
We are working on a guide for contributing.
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