2dc038b6c0
The changes in this PR are to add Llama API support. ### Changes 🏗️ We add both backend and frontend support. **Backend**: - Add llama_api provider - Include models supported by Llama API along with configs - llm_call - credential store and llama_api_key field in Settings **Frontend**: - Llama API as a type - Credentials input and provider for Llama API ### Checklist 📋 #### For code changes: - [X] I have clearly listed my changes in the PR description - [X] I have tested my changes according to the test plan: **Test Plan**: <details> <summary>AI Text Generator</summary> - [X] Start-up backend and frontend: - Start backend with Docker services: `docker compose up -d --build` - Start frontend: `npm install && npm run dev` - By visiting http://localhost:3000/, test inference and structured outputs - [X] Create from scratch - [X] Request for Llama API Credentials <img width="2015" alt="image" src="https://github.com/user-attachments/assets/3dede402-3718-4441-9327-ecab25c63ebf" /> - [X] Execute an agent with at least 3 blocks <img width="2026" alt="image" src="https://github.com/user-attachments/assets/59d6d56b-2ccc-4af5-b511-4af312c3f7f8" /> - [X] Confirm it executes correctly </details> <details> <summary>Structured Response Generator</summary> - [X] Start-up backend and frontend: - Start backend with Docker services: `docker compose up -d --build` - Start frontend: `npm install && npm run dev` - By visiting http://localhost:3000/, test inference and structured outputs - [X] Create from scratch - [X] Execute an agent <img width="2023" alt="image" src="https://github.com/user-attachments/assets/d1107638-bf1b-45b1-a296-1e0fac29525b" /> - [X] Confirm it executes correctly </details> --------- Co-authored-by: Nicholas Tindle <nicholas.tindle@agpt.co>
This is the frontend for AutoGPT's next generation
Getting Started
Run the following installation once.
npm install
# or
yarn install
# or
pnpm install
# or
bun install
Next, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
For subsequent runs, you do not have to npm install again. Simply do npm run dev.
If the project is updated via git, you will need to npm install after each update.
This project uses next/font to automatically optimize and load Inter, a custom Google Font.
Deploy
TODO
Storybook
Storybook is a powerful development environment for UI components. It allows you to build UI components in isolation, making it easier to develop, test, and document your components independently from your main application.
Purpose in the Development Process
- Component Development: Develop and test UI components in isolation.
- Visual Testing: Easily spot visual regressions.
- Documentation: Automatically document components and their props.
- Collaboration: Share components with your team or stakeholders for feedback.
How to Use Storybook
-
Start Storybook: Run the following command to start the Storybook development server:
npm run storybookThis will start Storybook on port 6006. Open http://localhost:6006 in your browser to view your component library.
-
Build Storybook: To build a static version of Storybook for deployment, use:
npm run build-storybook -
Running Storybook Tests: Storybook tests can be run using:
npm run test-storybookFor CI environments, use:
npm run test-storybook:ci -
Writing Stories: Create
.stories.tsxfiles alongside your components to define different states and variations of your components.
By integrating Storybook into our development workflow, we can streamline UI development, improve component reusability, and maintain a consistent design system across the project.