chore: import upstream snapshot with attribution

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wehub-resource-sync
2026-07-13 12:44:08 +08:00
commit 983960e2dd
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{
"app_name": "Leon",
"sections": [
{
"title": "BREAKING CHANGES",
"grep": "BREAKING"
},
{
"title": "Features",
"grep": "^feat"
},
{
"title": "Bug Fixes",
"grep": "^fix"
},
{
"title": "Performance Improvements",
"grep": "^perf"
},
{
"title": "Documentation Changes",
"grep": "^docs"
}
]
}
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# EditorConfig is awesome: https://EditorConfig.org
# top-most EditorConfig file
root = true
# Unix-style newlines with a newline ending every file
[*]
indent_style = space
indent_size = 2
charset = utf-8
end_of_line = lf
insert_final_newline = true
[*.py]
indent_size = 4
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# Leon profile secrets.
# Non-secret profile configuration lives in config.yml.
# LLM provider API keys
# Optional local llama.cpp API key
LEON_LLAMACPP_API_KEY=
# Optional Linux high-performance local provider API key (OpenAI-compatible)
LEON_SGLANG_API_KEY=
# OpenRouter API key
LEON_OPENROUTER_API_KEY=
# Z.AI API key
LEON_ZAI_API_KEY=
# MiniMax API key
LEON_MINIMAX_API_KEY=
# OpenAI API key
LEON_OPENAI_API_KEY=
# Anthropic API key
LEON_ANTHROPIC_API_KEY=
# Moonshot AI API key
LEON_MOONSHOTAI_API_KEY=
# HuggingFace API key
LEON_HUGGINGFACE_API_KEY=
# Cerebras API key
LEON_CEREBRAS_API_KEY=
# Groq API key
LEON_GROQ_API_KEY=
# Misc
# Optional token required by LeonClientInterface when client_interface.auth.enabled=true
LEON_CLIENT_INTERFACE_TOKEN=
# Optional token required by HTTP plugins when http_plugins.auth.enabled=true
LEON_HTTP_PLUGIN_TOKEN=
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# Contributor Covenant Code of Conduct
## Our Pledge
In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, sex characteristics, gender identity and expression,
level of experience, education, socio-economic status, nationality, personal
appearance, race, religion, or sexual identity and orientation.
## Our Standards
Examples of behavior that contributes to creating a positive environment
include:
- Using welcoming and inclusive language
- Being respectful of differing viewpoints and experiences
- Gracefully accepting constructive criticism
- Focusing on what is best for the community
- Showing empathy towards other community members
Examples of unacceptable behavior by participants include:
- The use of sexualized language or imagery and unwelcome sexual attention or
advances
- Trolling, insulting/derogatory comments, and personal or political attacks
- Public or private harassment
- Publishing others' private information, such as a physical or electronic
address, without explicit permission
- Other conduct which could reasonably be considered inappropriate in a
professional setting
## Our Responsibilities
Project maintainers are responsible for clarifying the standards of acceptable
behavior and are expected to take appropriate and fair corrective action in
response to any instances of unacceptable behavior.
Project maintainers have the right and responsibility to remove, edit, or
reject comments, commits, code, wiki edits, issues, and other contributions
that are not aligned to this Code of Conduct, or to ban temporarily or
permanently any contributor for other behaviors that they deem inappropriate,
threatening, offensive, or harmful.
## Scope
This Code of Conduct applies both within project spaces and in public spaces
when an individual is representing the project or its community. Examples of
representing a project or community include using an official project e-mail
address, posting via an official social media account, or acting as an appointed
representative at an online or offline event. Representation of a project may be
further defined and clarified by project maintainers.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported by contacting the project team at <louis@getleon.ai>. All
complaints will be reviewed and investigated and will result in a response that
is deemed necessary and appropriate to the circumstances. The project team is
obligated to maintain confidentiality with regard to the reporter of an incident.
Further details of specific enforcement policies may be posted separately.
Project maintainers who do not follow or enforce the Code of Conduct in good
faith may face temporary or permanent repercussions as determined by other
members of the project's leadership.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
[homepage]: https://www.contributor-covenant.org
For answers to common questions about this code of conduct, see
https://www.contributor-covenant.org/faq
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# Contributing
Thanks a lot for your interest in contributing to Leon! :heart:
**Leon needs open source to live**, the more skills he has, the more skillful he becomes.
**Before submitting your contribution**, please take a moment to review this document.
Please note we have a [code of conduct](https://github.com/leon-ai/leon/blob/develop/.github/CODE_OF_CONDUCT.md), please follow it in all your interactions with the project.
## How You Can Help
Here are few examples about how you could help on Leon, by:
- [Creating a new module](https://docs.getleon.ai/packages-modules).
- [Working on new features](http://roadmap.getleon.ai) (what is in backlog or todo).
- [Suggesting new ideas](https://github.com/leon-ai/leon/issues/new/choose).
- [Reporting a bug](https://github.com/leon-ai/leon/issues/new?labels=bug&template=BUG.md).
- [Improving the documentation](https://github.com/leon-ai/docs.getleon.ai) (translations, typos, better writing, etc.).
- [Sponsoring Leon](http://sponsor.getleon.ai).
## Pull Requests
**Working on your first Pull Request?** You can learn how from this _free_ series [How to Contribute to an Open Source Project on GitHub](https://egghead.io/courses/how-to-contribute-to-an-open-source-project-on-github).
- **Please first discuss** the change you wish to make via [issue](https://github.com/leon-ai/leon/issues),
email, or any other method with the owners of this repository before making a change.
It might avoid a waste of your time.
- The `master` branch is actually used as a snapshot of the latest stable release. **Do not submit your PRs
against the `master` branch**.
- Ensure your code **respect our coding standards** (cf. [.eslintrc.json](https://github.com/leon-ai/leon/blob/develop/.eslintrc.json)).
To do so, you can run:
```sh
pnpm run lint
```
- Make sure your **code passes the tests**. You can run the tests via the following command:
```sh
npm test
```
If you're adding new features to Leon, please include tests.
## Development Setup
Choose the setup method you want to go for.
### Single-Click
Gitpod will automatically set up an environment and run an instance for you.
[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io/#https://github.com/leon-ai/leon)
### Basic
```sh
# Clone the repository
git clone https://github.com/leon-ai/leon.git leon
# Go to the project root
cd leon
# Install
pnpm install
# Check the setup went well
pnpm run check
# Run the development server
pnpm run dev:server
# Run the development web app
pnpm run dev:app
```
## Versioning
- We use [Semantic Versioning](https://semver.org) for releases.
## Commits
The commit message guideline is adapted from the [AngularJS Git Commit Guidelines](https://github.com/angular/angular.js/blob/master/DEVELOPERS.md#-git-commit-guidelines).
### Types
Types define which kind of changes you made to the project.
| Types | Description |
| -------- | -------------------------------------------------------------------------------------------------------- |
| BREAKING | Changes including breaking changes. |
| build | New build version. |
| chore | Changes to the build process or auxiliary tools such as changelog generation. No production code change. |
| ci | Changes related to continuous integration only (GitHub Actions, CircleCI, etc.). |
| docs | Documentation only changes. |
| feat | A new feature. |
| fix | A bug fix. |
| perf | A code change that improves performance. |
| refactor | A code change that neither fixes a bug nor adds a feature. |
| style | Changes that do not affect the meaning of the code (white-space, formatting, missing semi-colons, etc.). |
| test | Adding missing or correcting existing tests. |
### Scopes
Scopes define high-level nodes of Leon.
- bridge/python
- bridge/nodejs
- hotword
- scripts
- server
- tcp server
- web app
- skill/skill_name
### Examples
```sh
git commit -m "feat(server): awesome new server feature"
git commit -m "docs(skill/leon): fix spelling"
git commit -m "chore: split training script into awesome blocks"
git commit -m "style(web app): remove chatbot useless parentheses"
```
### GUI Clients
If you are using a GUI client such as GitKraken, you may need to disable the default Git executable to make sure to use your default shell.
Otherwise you may encounter an error such as "npx not found".
## Sponsor
You can also contribute by [sponsoring Leon](http://sponsor.getleon.ai).
Please note that I dedicate most of my free time to Leon.
By sponsoring the project you make the project sustainable and faster to develop features.
The focus is not only limited to the activity you see on GitHub but also a lot of thinking about the direction of the project. Which is naturally related to the overall design, architecture, vision, learning process and so on...
## Contributing to the Python Bridge or TCP HttpServer
Leon makes use of two binaries, the Python bridge and the TCP server. These binaries are compiled from Python sources.
The Python bridge is used to communicate between the core and skills made with Python.
The TCP server is used to communicate between the core and third-party nodes, such as spaCy.
### Set Up the Python Environment
To contribute to these parts, you need to set up a Python environment running with a specific Python version and a specific Pipenv version.
It is recommended to use Pyenv to manage your Python versions.
If you are on GNU/Linux Ubuntu, you can run the following to install Pyenv, otherwise, please refer to the [Pyenv documentation to install it](https://github.com/pyenv/pyenv#installation):
```bash
# Update registry
sudo apt-get update
# Install Pyenv deps
sudo apt-get install make build-essential libssl-dev zlib1g-dev \
libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm \
libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev
# Install Pyenv
curl https://pyenv.run | bash
# Add output lines to .bashrc
# Restart shell
exec "$SHELL"
```
Once Pyenv installed, run:
```bash
# Install Python
pyenv install 3.11.9 --force
pyenv global 3.11.9
```
Your Python environment should be ready now. Leon uses `uv` as the Python dependency standard, and `postinstall` provisions the Python bridge and TCP server environments automatically from `pyproject.toml`:
```bash
# Run the Python bridge
npm run python-bridge
# Run the TCP server
npm run start:tcp-server
```
## Spread the Word
Use [#LeonAI](<https://twitter.com/search?f=live&q=%23LeonAI%20(from%3Agrenlouis%20OR%20from%3Alouistiti_fr)&src=typed_query>) if you tweet about Leon and/or mention [@grenlouis](https://twitter.com/grenlouis).
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# These are supported funding model platforms
github: [louistiti]
patreon: # Replace with a single Patreon username
open_collective: # Replace with a single Open Collective username
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
custom: # http://sponsor.getleon.ai
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---
name: 🐞 Bug Report
about: Report an unexpected problem or unintended behavior.
labels: bug
---
<!--
Thanks for your interest in Leon! ❤️
Please check if there is no similar issue before creating this one.
If the bug is related to the setup, please submit the issue at: https://github.com/leon-ai/leon-cli/issues/new/choose
-->
### Specs
- Leon version:
- OS (or browser) version:
- Node.js version:
- Complete "leon check" (or "pnpm run check") output:
- (optional) Leon skill version:
### Expected Behavior
### Actual Behavior
### How Do We Reproduce?
### Extra (like a sample repo to reproduce the issue, etc.)
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---
name: 📝 Documentation
about: Are the docs missing, confusing, etc.? Tell us more about it.
---
<!--
Thanks for your interest in Leon! ❤️
If it is related to https://docs.getleon.ai, please open an issue there: https://github.com/leon-ai/docs.getleon.ai/issues.
Please check if there is no similar issue before creating this one.
Please place an x (no spaces - [x]) in all [ ] that apply.
-->
### Documentation Is:
- [ ] Missing
- [ ] Needed
- [ ] Confusing
- [ ] Not Sure?
### Explanation
### Proposal
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---
name: ✨ Feature Request
about: Suggest a new feature idea.
labels: feature request
---
<!--
Thanks for your interest in Leon! ❤️
Please check if there is no similar issue before creating this one.
-->
### Feature Use Case
### Feature Proposal
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---
name: 🔧 Improvement
about: Suggest an idea which is not a feature.
labels: improvement
---
<!--
Thanks for your interest in Leon! ❤️
Please check if there is no similar issue before creating this one.
-->
### Expected Behavior
### Actual Behavior
### Proposal
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---
name: ❓ Question
about: Ask a question about Leon.
labels: question
---
<!--
Thanks for your interest in Leon! ❤️
Please check if there is no similar issue before creating this one.
Please ask one question per issue.
-->
### Question
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<!--
Thanks a lot for your interest in contributing to Leon! :heart:
Please first discuss the change you wish to make via issue,
email, or any other method with the owners of this repository before making a change.
It might avoid a waste of your time.
Before submitting your contribution, please take a moment to review this document:
https://github.com/leon-ai/leon/blob/develop/.github/CONTRIBUTING.md
Please place an x (no spaces - [x]) in all [ ] that apply.
-->
### What type of change does this PR introduce?
- [ ] Bugfix
- [ ] Feature
- [ ] Refactor
- [ ] Documentation
- [ ] Not Sure?
### Does this PR introduce breaking changes?
- [ ] Yes
- [ ] No
### List any relevant issue numbers:
### Description:
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+39
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name: Build
on:
push:
# branches: [master, develop]
branches: [master]
pull_request:
# branches: [master, develop]
branches: [master]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Use Python
uses: actions/setup-python@v2
with:
python-version: 3.x
- name: Use Node.js
uses: actions/setup-node@v2
with:
node-version: 24.x
cache: pnpm
- name: Enable Corepack
run: corepack enable
- name: Install
run: pnpm install
- name: Check setup
run: pnpm run check
- name: Build
run: pnpm run build
+36
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@@ -0,0 +1,36 @@
name: Lint
on:
push:
# branches: [master, develop]
branches: [master]
pull_request:
# branches: [master, develop]
branches: [master]
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Use Python
uses: actions/setup-python@v2
with:
python-version: 3.x
- name: Use Node.js
uses: actions/setup-node@v2
with:
node-version: 24.x
cache: pnpm
- name: Enable Corepack
run: corepack enable
- name: Install
run: pnpm install
- name: Run linter
run: pnpm run lint
+42
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@@ -0,0 +1,42 @@
name: Tests
on:
push:
# branches: [master, develop]
branches: [master]
pull_request:
# branches: [master, develop]
branches: [master]
jobs:
tests:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Use Python
uses: actions/setup-python@v2
with:
python-version: 3.x
- name: Use Node.js
uses: actions/setup-node@v2
with:
node-version: 24.x
cache: pnpm
- name: Enable Corepack
run: corepack enable
- name: Install
run: pnpm install
- name: Run agent unit tests
run: pnpm run test:agent:unit
- name: Run workflow unit tests
run: pnpm run test:workflow:unit
- name: Run workflow e2e tests
run: pnpm run test:workflow:e2e
+36
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@@ -0,0 +1,36 @@
__pycache__/
.idea/
.fleet/
.vscode/
**/dist/*
**/build/
**/node_modules/
**/.venv/
**/.last-skill-deps-sync
**/.last-source-deps-sync
skills/**/reports/*
test/coverage/
**/tmp/*
core/config/**/*.json
scripts/out/*.md
package-lock.json
*.pyc
.DS_Store
*.sublime-workspace
npm-debug.log
debug.log
# Keep ignoring a repo-root .env on the safe side.
.env
.last-native-node-modules-rebuild
bridges/nodejs/.last-nodejs-bridge-deps-sync
bridges/python/src/.last-python-bridge-deps-sync
tcp_server/src/.last-tcp-server-deps-sync
bridges/python/src/Pipfile.lock
tcp_server/src/Pipfile.lock
!bridges/python/**/.gitkeep
!bridges/nodejs/**/.gitkeep
!**/*.sample*
package.json.backup
.python-version
schemas/**/*.json
+19
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@@ -0,0 +1,19 @@
image: gitpod/workspace-full
tasks:
- before: npm install -g @leon-ai/cli
init: leon create birth
command: leon start
ports:
- port: 1337
onOpen: notify
github:
prebuilds:
master: true
branches: true
pullRequests: true
addComment: true
addBadge: true
addLabel: true
+1
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@@ -0,0 +1 @@
tsx scripts/commit-msg.js
+1
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@@ -0,0 +1 @@
lint-staged
+3
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@@ -0,0 +1,3 @@
{
"*.{js,jsx,ts,tsx,mjs,cjs}": ["eslint --fix --ignore-pattern .gitignore"]
}
+1
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@@ -0,0 +1 @@
lts/*
+362
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@@ -0,0 +1,362 @@
# [1.0.0-beta.8](https://github.com/leon-ai/leon/compare/v1.0.0-beta.7...v1.0.0-beta.8) (2023-05-01) / Binaries and TypeScript Rewrite
_Please refer to [our latest blog post](https://blog.getleon.ai/binaries-and-typescript-rewrite-1-0-0-beta-8/) for more information on the new release of our dear Leon._
# [1.0.0-beta.7](https://github.com/leon-ai/leon/compare/v1.0.0-beta.6...v1.0.0-beta.7) (2022-08-24) / A Much Better NLP
_Please [read this blog post](https://blog.getleon.ai/a-much-better-nlp-and-future-1-0-0-beta-7/) to know more about all the new features and the exciting future of Leon._
### BREAKING CHANGES
- remove legacy packages [07743657](https://github.com/leon-ai/leon/commit/07743657cd2954e7f850c08eea7c032c24b28a96)
### Features
- create new NLP skills resolvers model + NLP global resolvers model [602604e4](https://github.com/leon-ai/leon/commit/602604e43788c6b6be8c402d54fe54342d0cd5d6)
- better isolate skill resolvers from global resolvers + finish up Akinator skill [905d248e](https://github.com/leon-ai/leon/commit/905d248ebf7e84b1ccc74450520228aef9a8804a)
- transfer language from core to skills + support thematics on Akinator skill [b35a249b](https://github.com/leon-ai/leon/commit/b35a249bf68000d6708aaee4abc4cd97f5b80035)
- actions on slot level + akinator skill progress [7101b8b4](https://github.com/leon-ai/leon/commit/7101b8b4b828b49e009da2fcdac7c5ed2e48c8f8)
- add Cartesian sample training on resolvers + enum entities [6ed88a59](https://github.com/leon-ai/leon/commit/6ed88a5946c77b356e49fe8b9cbe890b8dd1f037)
- map skills resolvers intents [eb5ade76](https://github.com/leon-ai/leon/commit/eb5ade76844dd14f5d5a5c5eeb434eed70fe62f4)
- train skills resolvers and remap as per changes [82df0a3c](https://github.com/leon-ai/leon/commit/82df0a3c235fbd50ad0cfe12e23a51f777dcd658)
- achieve Cartesian training [a1e9011d](https://github.com/leon-ai/leon/commit/a1e9011d5db48ed8e9f49cef2d813ee7e2400ec2)
- introduce suggestions [dcddacca](https://github.com/leon-ai/leon/commit/dcddacca2956529de0aea8ff98e1e6f16104966a)
- communicate suggestions to the client [4b5a8835](https://github.com/leon-ai/leon/commit/4b5a883510fd4421a491f999cc21d8f7dd369a03)
- shared skills memory [795acc5b](https://github.com/leon-ai/leon/commit/795acc5bdd29e9a27d1cf3b4407453648d573973)
- support dynamic variables on skill NLU settings for logic type [10d10a16](https://github.com/leon-ai/leon/commit/10d10a1690cb65970932ee7230e3f324ec67dbce)
- tmp resolvers mapping [b1a332ba](https://github.com/leon-ai/leon/commit/b1a332bab6af8b74a8c58c07bac3ef3a1cebad89)
- start to map resolvers between the core and skills [e88495a9](https://github.com/leon-ai/leon/commit/e88495a9a94e86026fd0c7c4c44f3ff06edb2e80)
- train affirmation and denial resolver [993d52e8](https://github.com/leon-ai/leon/commit/993d52e8686f335039ff3d5e2a82c1a37efb1825)
- Python TCP server and Node.js TCP client for IPC (wip) [5970ec9e](https://github.com/leon-ai/leon/commit/5970ec9e8e4c2784c50e2ddc76b34b71aa4310e6)
- introduce spaCy for complete NER (wip) [caa86fc8](https://github.com/leon-ai/leon/commit/caa86fc8a6850b18f67ba7bedb423be693a88d17)
- slot filling (wip) [76547d94](https://github.com/leon-ai/leon/commit/76547d9411c32e0eb2ccfdac3a4901d2d2fb37f6)
- share data across domains [f4f9fff9](https://github.com/leon-ai/leon/commit/f4f9fff9783861be183990d7869973c7a30c8104)
- dynamic variable binding on NLG [0367b44f](https://github.com/leon-ai/leon/commit/0367b44f211c1629fffe6981a730f171707bf0c0)
- context and slot filling preparation (wip) [975b8ebc](https://github.com/leon-ai/leon/commit/975b8ebcf00db91b44dd067be6dde5c1bf32fff1)
- annotate entities on the fly + prepare for dialog skill type and cross-domains data [4107932d](https://github.com/leon-ai/leon/commit/4107932d000086188d6f44ef67b73cc322fc58e5)
- new NLP training [d8023308](https://github.com/leon-ai/leon/commit/d8023308d0ef1f3eede37f21f45daa2f893031b0)
- **server:**
- trigger next action suggestions or current ones [244d08c0](https://github.com/leon-ai/leon/commit/244d08c0bd0fea315269f52ab899f9b7fe083f51)
- introduce main NLP model and resolvers NLP model [e37526d9](https://github.com/leon-ai/leon/commit/e37526d9056d858ebcf17b81f6714f47b67c77cb)
- change log emojis [843bc428](https://github.com/leon-ai/leon/commit/843bc428b8deb397e2d051a8e0bfaf1b82b459a2)
- provide nextAction even when no slot is set and clean up NLU object on context switch [8377c63d](https://github.com/leon-ai/leon/commit/8377c63db4e4e42ed929171cd8b9abdb13c44b2a)
- report full traceback from skills execution [b69b1fea](https://github.com/leon-ai/leon/commit/b69b1fea16250421bc7d5def1c973dd43e453071)
- support on-the-fly entity annotation for built-in entities [567b030c](https://github.com/leon-ai/leon/commit/567b030c4fcf8df266c39cca61a146fb33b9e0fc)
- save slots within conversation context [fce47cdb](https://github.com/leon-ai/leon/commit/fce47cdbd570993ac5cca2b4ff5bc97969df4e40)
- resolve resolvers tmp [ceea47ff](https://github.com/leon-ai/leon/commit/ceea47ff7dd536bfd3adf3cc355e90e3e94b1cbd)
- prepare the next action on non-slot-filled skills [0acb31a9](https://github.com/leon-ai/leon/commit/0acb31a9c61c1c094b29f3d0ff2647d625eab0be)
- add more affirmative utterance samples [870ab2e8](https://github.com/leon-ai/leon/commit/870ab2e87eba2c548d38dc90d30553e7fa380c1e)
- restart a skill with the original utterance saved in context [f4446ef1](https://github.com/leon-ai/leon/commit/f4446ef17796d38d0f98d5b7e889503622a1a998)
- clean up context if the action loop does not meet the expected items [035c9d52](https://github.com/leon-ai/leon/commit/035c9d5240472ac19a84ae8c1a87844fa0d0af5d)
- add handsigns custom entity [1529c720](https://github.com/leon-ai/leon/commit/1529c72039092c7b8f37304d6064e04f2dc7b795)
- reprocess NLU in case of slot filling interruption [9e242d77](https://github.com/leon-ai/leon/commit/9e242d77d32109e9355eec422790a5a66fd18f9c)
- handle action loop when slots have all been filled at once [f8830502](https://github.com/leon-ai/leon/commit/f88305020a5bc79056b7ff9c1a31f8d3c3a7cdce)
- break the action loop from the skill [27dc801c](https://github.com/leon-ai/leon/commit/27dc801cf53de5af3d54b95f42d2b9e627090867)
- stop action loop from skill to core [99681e25](https://github.com/leon-ai/leon/commit/99681e257795a18361be379b93244088401f640b)
- introduce basic concept of action loop [c5b38400](https://github.com/leon-ai/leon/commit/c5b38400821e5bc5edc4402d007f815f24319d44)
- prepare action loop feature [19e1aa22](https://github.com/leon-ai/leon/commit/19e1aa22f6e989e90eb745e3a7b7ccb8ff5adbfa)
- add current utterance entities to differentiate from the whole context [8b56a185](https://github.com/leon-ai/leon/commit/8b56a1850c9d76e335f1bad1b4395d73ddc5ea19)
- when a context is activated, pick up the most probable classification [8e186879](https://github.com/leon-ai/leon/commit/8e1868798c8750c19b1719a44dc6fb8bca68b250)
- persist entities into contexts [87575773](https://github.com/leon-ai/leon/commit/875757739f6701f54805eeff2c7c350cff36c4ac)
- forward slots to skill + add original utterance [68e40f65](https://github.com/leon-ai/leon/commit/68e40f65df0d1fe29ccad991868a2408c6e1015e)
- handle case when all slots have been filled in one utterance [22e9234b](https://github.com/leon-ai/leon/commit/22e9234b3d2c97e83eaafaeeb5aa9d27c351c95a)
- trigger next action once all slots have been filled [9b870010](https://github.com/leon-ai/leon/commit/9b870010dd929bc1aed6d87696f1cc4e9f177c0b)
- complete slot filling before triggering the next action [9124687e](https://github.com/leon-ai/leon/commit/9124687eb0e17295a30f860752ee622ba44d1440)
- from modules to skills with type at the actions level [77ebaf4a](https://github.com/leon-ai/leon/commit/77ebaf4a9c78b2e471d39872e361ea05b163580d)
- verify if all slots are filled [e27c1b9c](https://github.com/leon-ai/leon/commit/e27c1b9c8f5c2f668f464f152ad227d65ba5ef6b)
- context and slot filling, keep context and await for entities [25adf406](https://github.com/leon-ai/leon/commit/25adf406c810e48b1277105dd6c269a2ed601d28)
- unstack oldest context [1ece25a4](https://github.com/leon-ai/leon/commit/1ece25a497acc9f9876fe158ace5da38beec31e6)
- context setup with slot for each conversation (wip) [8257eb87](https://github.com/leon-ai/leon/commit/8257eb8792c9f4fc90bcc1b393d3fddf8ff541dc)
- resolve slots from slot filling [960a6dc7](https://github.com/leon-ai/leon/commit/960a6dc71c2efb50ad6a8448d447ebd79c559c41)
- pickup questions for slot filling [3bbc2f8a](https://github.com/leon-ai/leon/commit/3bbc2f8a254d10f0c37cdb7abf016b3e418f594a)
- main slots structure (wip) [1d9b1809](https://github.com/leon-ai/leon/commit/1d9b18093b6e042ae49f557149a7822b4420cdb8)
- introduce resolvers for slot filling (wip) [334bf393](https://github.com/leon-ai/leon/commit/334bf393f2c43edd326d9de2e93c037ffeebeab5)
- slot filling PoC (tmp wip) [95bfcfe4](https://github.com/leon-ai/leon/commit/95bfcfe422f21a2946e50031a3623675dfe81b9d)
- slot filling (wip) [969a83e6](https://github.com/leon-ai/leon/commit/969a83e6081de20ec5e2bdd0329a21a3fe448f13)
- trigger unsupported language [1845eed7](https://github.com/leon-ai/leon/commit/1845eed71dadd5f693d76abd7633864014bf8af1)
- context (wip) [d1c2a11d](https://github.com/leon-ai/leon/commit/d1c2a11d8284ca4e1d4563b871c50c006e8ef8a0)
- context (wip) [a9a43ac4](https://github.com/leon-ai/leon/commit/a9a43ac478c46f3832d2af49c287bb574a70cc14)
- differenciate cities from countries for location entities [bf9bf231](https://github.com/leon-ai/leon/commit/bf9bf231f714e1edc1417e43af12fa54c00ba064)
- auto restart the TCP server when language is switching [9be7c700](https://github.com/leon-ai/leon/commit/9be7c700767672ac6e0c875d3b5ae7fa6414e4fa)
- support multi languages on TCP server [a808742c](https://github.com/leon-ai/leon/commit/a808742c927d45c18df45af133e67c98d4a0415a)
- add auto reconnect on TCP client [cbe89ed6](https://github.com/leon-ai/leon/commit/cbe89ed6ccfd727356eb34078a8a4348b2fd696f)
- make TCP client global [006e9fb0](https://github.com/leon-ai/leon/commit/006e9fb01148c2107f6acc6a562ace4809da92be)
- fully implement low-level networking for IPC [8acb82da](https://github.com/leon-ai/leon/commit/8acb82da9bacdb9b7952c4a4d130d094e07def5e)
- more accurate NLG [d5577b1e](https://github.com/leon-ai/leon/commit/d5577b1ef5cf1b8b4a924636ba4425b8b4ae133d)
- unknown_answers fallback on dialog type [28efe6e7](https://github.com/leon-ai/leon/commit/28efe6e7d542f19bf12ddede1815f7fa8cf01036)
- deep data mapping on enum NER [3ca48265](https://github.com/leon-ai/leon/commit/3ca48265e7115c8e0f02c65ba92d90412325ad76)
- NLG and entities mapping [8f2f935b](https://github.com/leon-ai/leon/commit/8f2f935b949ceb965941460d4ff1ed0084b72442)
- bootstrap skill structure [fe90c68e](https://github.com/leon-ai/leon/commit/fe90c68ea0e9b0e857b62aa9f3b0a42ba1ffed6b)
- on-the-fly language switching [f24513a2](https://github.com/leon-ai/leon/commit/f24513a22395d1903e485883f4813cdceccdbd18)
- new NLP containers [34b2aa56](https://github.com/leon-ai/leon/commit/34b2aa5655e55284d59db4569960c49965a0483c)
- (WIP) NLU refactoring [ca3f5f42](https://github.com/leon-ai/leon/commit/ca3f5f42da26eb634e10b56e9b84bd45b5543024)
- add skills domains [cf2a28aa](https://github.com/leon-ai/leon/commit/cf2a28aac2d936cc15e6aa9aa13747015d952053)
- **skill/akinator:**
- finish up [79e7df02](https://github.com/leon-ai/leon/commit/79e7df022f7daedf43db7f892e049a31924ce985)
- finished main business logic [76cae42f](https://github.com/leon-ai/leon/commit/76cae42fdeac0edcd3ebd6aa7718728617687b1b)
- backbone [02a2f714](https://github.com/leon-ai/leon/commit/02a2f71470bb4c0c6ca04526e89461d863d17145)
- **skill/birthday:**
remove birthday skill [be0b345d](https://github.com/leon-ai/leon/commit/be0b345d3f7fea562548e3fbed62b65c32eff4c0)
- **skill/color:**
introduce color skill [ce00989b](https://github.com/leon-ai/leon/commit/ce00989b01f65c5cbb5a2e13f454207c1ba7741c)
- **skill/guess_the_number:**
introduce the Guess the Number skill [fba80966](https://github.com/leon-ai/leon/commit/fba80966c937a32182e48670c47358babb539d64)
- **skill/introduction:**
- add one utterance sample [af0fdd1e](https://github.com/leon-ai/leon/commit/af0fdd1e18975bf8b60abb2957ddf79831281817)
- ask about owner info if necessary [c5cc9bdd](https://github.com/leon-ai/leon/commit/c5cc9bdd52afaaa710f9476d1e9918f3d168e243)
- **skill/mbti:**
- complete form resolver [aad9f3f1](https://github.com/leon-ai/leon/commit/aad9f3f1ef61499d438ea40c9d2d95764667678d)
- finish business logic [99a3f103](https://github.com/leon-ai/leon/commit/99a3f103e00b5a58745ee851d2fa95c61871f75a)
- questions mapping [ae4f69f7](https://github.com/leon-ai/leon/commit/ae4f69f7c7189ff75e004f68c9a2a8b6bb37b6bd)
- complete questionnaire [7f1f8871](https://github.com/leon-ai/leon/commit/7f1f8871598746c5475b24e086ea6e581f2a988e)
- main logic backbone [33109a4c](https://github.com/leon-ai/leon/commit/33109a4c8b5df82e7b98e48e66f8d53f0cc114fb)
- main NLU structure [skip ci] [86d5040a](https://github.com/leon-ai/leon/commit/86d5040a7dc2006036c7e67a2cf54a4c992e64aa)
- **skill/rochambeau:**
- add start answers [192dd0a8](https://github.com/leon-ai/leon/commit/192dd0a87ab5dc025bb90b20b187e36a58be54ea)
- introduce paper scissors rock [57370470](https://github.com/leon-ai/leon/commit/573704706c843d870f2498146bc3cd659bab4f06)
- init [7f5e30ac](https://github.com/leon-ai/leon/commit/7f5e30ac82f2a2d7579e361229a4044348915867)
- **web app:**
- join us on Discord [141c89ec](https://github.com/leon-ai/leon/commit/141c89ecbfd329a8e63d5a603d0ae6b42f9abf38)
- wait for TCP client to be connected first [bc228a68](https://github.com/leon-ai/leon/commit/bc228a68600c07871c489d6624bbc837971079a6)
### Bug Fixes
- check script with new intent-object format [fdf0a389](https://github.com/leon-ai/leon/commit/fdf0a389b76caba5dd47996a43a34c0c7821c70a)
- check new resolvers paths [cfd8f7cb](https://github.com/leon-ai/leon/commit/cfd8f7cbe5e8fd9ce3d1659c725d7af261db8d71)
- use ports.ubuntu.com mirror for the offline TTS [skip ci] [3dd90396](https://github.com/leon-ai/leon/commit/3dd9039678820fceb7ccbb1c96358c8d2f188ede)
- set skill config only when a bridge is set [7513aa7d](https://github.com/leon-ai/leon/commit/7513aa7d20fee1fe9ca5442a7909d22fd1c3b39e)
- only set skill config when it is a logic type [9ce9a8bc](https://github.com/leon-ai/leon/commit/9ce9a8bc4fe0864730a08d8e9a436982f1365aa5)
- **docker:**
- usage of Ubuntu base image with pyenv and nvm (#408) [f507f6f7](https://github.com/leon-ai/leon/commit/f507f6f7e499f56768b3e624164cbcd58193b153)
- check should not allocate a pseudo-TTY (#359) [4372b45f](https://github.com/leon-ai/leon/commit/4372b45fc605893d4130cf7110dd87519b934345)
- **server:**
- make leon handle multiple socket.io-client instances [6e7c0aac](https://github.com/leon-ai/leon/commit/6e7c0aac57008b152b45f1b0f3886ae38777467b)
- fallback on global resolver during resolver classification [ec77dd0f](https://github.com/leon-ai/leon/commit/ec77dd0f02a8ae94fb3f02c7b7847b5509d71406)
- make use of current entities to match global entities [a8d82050](https://github.com/leon-ai/leon/commit/a8d82050c86b5c24c4c898c06e5ffc3882524c0b)
- multiple slots filling [2ac1bc63](https://github.com/leon-ai/leon/commit/2ac1bc63ccd11757d586adfb2e75ce04e3ffbcb5)
- context switching on action loop [6712ae55](https://github.com/leon-ai/leon/commit/6712ae5539ef44ed33e360cfcad71c760c4b13b1)
- check one-shot slot filling case causing infinite loop [782a3aaa](https://github.com/leon-ai/leon/commit/782a3aaa0a07dda667557bc84db906b3fa9b237c)
- clean up active context after all slots have been filled [faabc2c7](https://github.com/leon-ai/leon/commit/faabc2c7b0992fcea035eedf66103d84b101e1a7)
- correctly extract all spaCy entities [6aa60bfb](https://github.com/leon-ai/leon/commit/6aa60bfbd8c72e678fe3faf5e7f9dbd37dfd209f)
- intent not found [8280c658](https://github.com/leon-ai/leon/commit/8280c65897dba0fe470a3589d151b391c51e344e)
- fallback due to modules to skills refactoring [ef0c54b2](https://github.com/leon-ai/leon/commit/ef0c54b22667ef2bd1d2c07003f6b4beb5fa25c0)
- NER due to modules to skills refactoring [e4d3904c](https://github.com/leon-ai/leon/commit/e4d3904ceeb2a3ee2c0187a1817331fac916e1a7)
- **skill/akinator:**
remove direct end on guess action [f6461f73](https://github.com/leon-ai/leon/commit/f6461f733b4a5d944dfa4a987dd1109628c6cbca)
- **skill/color:**
more appropriate answer [cb18ed63](https://github.com/leon-ai/leon/commit/cb18ed6397cb0e0ad8fbea30c57d7d40137441ee)
- **skill/rochambeau:**
final logic [0ebc0518](https://github.com/leon-ai/leon/commit/0ebc0518e61b899c35dd13df65a43f69399e784d)
### Performance Improvements
- check Pipfile instead of Pipfile.lock to judge whether Python packages must be installed [afdb71f7](https://github.com/leon-ai/leon/commit/afdb71f766f2956c5cb4a5e0be9025340d1a89db)
### Documentation Changes
- change newsletter link [4bf2a9af](https://github.com/leon-ai/leon/commit/4bf2a9af963f75aeff96f4a43da8ec1024ac583a)
- README - Edited sentence for clarity (#389) [e83a1c42](https://github.com/leon-ai/leon/commit/e83a1c4230897e8b63251ef86225cf773148c38e)
- edit newsletter link [fa558a44](https://github.com/leon-ai/leon/commit/fa558a447ade4071f352d56f14602690ed90f521)
- update sponsor [skip ci] [f30ddb6b](https://github.com/leon-ai/leon/commit/f30ddb6be5f531df2b0042be0ed5ffbe79f73b07)
- remove sponsor [skip ci] [5dbc010f](https://github.com/leon-ai/leon/commit/5dbc010fa643279a24081f3148022e2211af63f4)
- remove sponsor [skip ci] [f36dd20f](https://github.com/leon-ai/leon/commit/f36dd20f822cd33c9e8a03efc2849c8d8d1fc75e)
- remove sponsor [skip ci] [5ee57ddf](https://github.com/leon-ai/leon/commit/5ee57ddf2a9f7817ec35b2e70d49e5bb422d8f78)
- add @ant-media sponsor [skip ci] [b47cbc3a](https://github.com/leon-ai/leon/commit/b47cbc3a5ecb6591f7abb4f62feae8102b9a6468)
- add long dev notice to README [skip ci] [499be77d](https://github.com/leon-ai/leon/commit/499be77d509231b853f591e27f726381da5a50d8)
- move sponsor to new section [skip ci] [8825d687](https://github.com/leon-ai/leon/commit/8825d6877c19d86495e89a858b859b7ab1f9ae37)
- change Twitter handle [skip ci] [c1afc11c](https://github.com/leon-ai/leon/commit/c1afc11cdb283526540d0fecdf83efddf3f3a9f7)
- remove sponsor [skip ci] [99b401a6](https://github.com/leon-ai/leon/commit/99b401a668a6fb248e33c22782940402be7c9b17)
- add new sponsor self-hosted img [skip ci] [238d928c](https://github.com/leon-ai/leon/commit/238d928cace13d4ecd174ca14b136967d8845e0f)
- remove new sponsor link (broken) [skip ci] [254f2848](https://github.com/leon-ai/leon/commit/254f2848aab622b79cce16d10c58d53ff6db9a8f)
- in GitHub BUG.md from modules to skills [4a5480a3](https://github.com/leon-ai/leon/commit/4a5480a3ccc54ee34d42f6edcec2a40224dee7ed)
- change @FluxIndustries sponsorship [skip ci] [1a118b71](https://github.com/leon-ai/leon/commit/1a118b718e5d4ade123756ac94758a01c50b12ae)
- add @FluxIndustries sponsor [skip ci] [9a604d7c](https://github.com/leon-ai/leon/commit/9a604d7ccc0c6aaec257299078141dd0c3077933)
- new #LeonAI link [skip ci] [a0107d62](https://github.com/leon-ai/leon/commit/a0107d629473f7fd057d367926e83822d46f1227)
- changelog new version diff link fix [skip ci] [e14c2498](https://github.com/leon-ai/leon/commit/e14c249826db92af7b85422e566be6aa834a7fb7)
# [1.0.0-beta.6](https://github.com/leon-ai/leon/compare/v1.0.0-beta.5...v1.0.0-beta.6) (2022-02-07) / Leon Over HTTP + Making Friends with Coqui STT
### Features
- simple coqui-ai stt integration [86a4816b](https://github.com/leon-ai/leon/commit/86a4816b777fee8ec9c89648c5866a75de56c017)
- HTTP API key generator [d10a7fa7](https://github.com/leon-ai/leon/commit/d10a7fa7880a0bf2fb1cae7904d1ef4257f05257)
- avoid unnecessary routes generation
- **server:**
- make Coqui STT the default STT solution [70399187](https://github.com/leon-ai/leon/commit/7039918760c0ef7ba93bf45820e3cae774c42d8c)
- add HTTP API key middleware [cdf41499](https://github.com/leon-ai/leon/commit/cdf4149939cbe3f3ae81039957dba3377a78f5a6)
- expose queries over HTTP [b6428d03](https://github.com/leon-ai/leon/commit/b6428d038452619f1682c863892cd8f376efca84)
- add timeout action over HTTP [115f9c16](https://github.com/leon-ai/leon/commit/115f9c164559d761625cc6f362749f7d2417d300)
- handle built-in and trim entities over HTTP + add "disabled" HTTP API action option [82fb967a](https://github.com/leon-ai/leon/commit/82fb967af8f49421e3b2474184da3d34fb17294f)
- execute modules over HTTP [2e5b2c59](https://github.com/leon-ai/leon/commit/2e5b2c59da0bafe3acd966773c6fac3611b3bd0c)
- generate Fastify routes on the file to expose packages over HTTP [5b41713a](https://github.com/leon-ai/leon/commit/5b41713a68ee628e695212dbebc88f6b9a94b461)
### Bug Fixes
- do not ask to regenerate the HTTP API key if this one isn't available yet [d265377a](https://github.com/leon-ai/leon/commit/d265377a43fd4506cf12db46f261b891f2054ed2)
- Python deps tree check [c6c01291](https://github.com/leon-ai/leon/commit/c6c012915824227efdf0c50df6a8f1cd8d70ed42)
- hotword offline (#342) [f563d01d](https://github.com/leon-ai/leon/commit/f563d01d077499c836e94c86f85cedc2ad4d56e6)
- addressed comments by @JRMeyer [b1c6f5c8](https://github.com/leon-ai/leon/commit/b1c6f5c883103d57d4fe566af640fc3ac5ce713d)
- allow to detect STT offline capabilities [04d62288](https://github.com/leon-ai/leon/commit/04d622884165e0bde65785569a659f59cf9e8582)
- Amazon Polly is always configured on check script due to new structure [e6246d1f](https://github.com/leon-ai/leon/commit/e6246d1f8f9ec15a4ebe9600764afffbaa7e62d9)
### Performance Improvements
- check if Python deps tree has been updated before going through deps install [2d0b0f13](https://github.com/leon-ai/leon/commit/2d0b0f1365d8e4d6eadf9f7cc0a16b7b4b4306f4)
# [1.0.0-beta.5](https://github.com/leon-ai/leon/compare/v1.0.0-beta.4...v1.0.0-beta.5) (2021-12-28) / Refocus
_This release marks a major turn in the future versions of the Leon core. Please [read this blog post](https://blog.getleon.ai/i-ran-away-from-open-source/) to know more._
### BREAKING CHANGES
- Node.js 16+ and npm 8+ minimum requirements [2f66f1c1](https://github.com/leon-ai/leon/commit/2f66f1c17bb2e4a1c18b4251d49de252b8d87344)
### Features
- **server:** support arrays on NER between conditions [7cf7f979](https://github.com/leon-ai/leon/commit/7cf7f9791254e1950fe9128ce1b3a58079cc2ada)
### Bug Fixes
- jest-extended new setup due to latest update [02f766d6](https://github.com/leon-ai/leon/commit/02f766d6a8453609ebaec78356aa6e6d4df0967b)
### Performance Improvements
- Windows setup on DeepSpeech dep removal [13f5a49f](https://github.com/leon-ai/leon/commit/13f5a49f678f8f67a93b67d4f558cddcf237e204)
### Documentation Changes
- URL redirect managed by registrar [c16d5b28](https://github.com/leon-ai/leon/commit/c16d5b280b758f7e18305e30678adec79f0a0716)
# [1.0.0-beta.4](https://github.com/leon-ai/leon/compare/1.0.0-beta.2...v1.0.0-beta.4) (2021-05-01) / Getting Rid of Dust
_This release includes a lot of changes that are made under the hood and are not displayed here, please **[read the blog post](https://blog.getleon.ai/getting-rid-of-dust-1-0-0-beta-4/)** to know more._
### BREAKING CHANGES
- **package/checker:** introduce Have I Been Pwned v3 API with API key ([0ca89fe3](https://github.com/leon-ai/leon/commit/0ca89fe32d51c80cec5f9446acf14990390a5917))
- **server:**
- AWS SDK new structure due to v3 and adapt Amazon Polly changes ([f15f2db7](https://github.com/leon-ai/leon/commit/f15f2db78e5781d05e5e2bcb186645966d17debf))
- IBM Watson TTS and STT new structure ([f41ea0e9](https://github.com/leon-ai/leon/commit/f41ea0e9a1479bfd6a1cb2e8d1f70aec744c685b) | [2668c295](https://github.com/leon-ai/leon/commit/2668c295880ee753ef7ca26a91dbc7e0901febff))
### Features
- **package/calendar:** introduce To-Do list module ([0cdd73d6](https://github.com/leon-ai/leon/commit/0cdd73d6c24a287915f691e3b12edacd75fd383a) | [857be947](https://github.com/leon-ai/leon/commit/857be947792c650ac35847e14fc41064008cef24) | [2041be14](https://github.com/leon-ai/leon/commit/2041be14dbc01640a61de96d1982cc20cd05a8b3) | [12e8f5c3](https://github.com/leon-ai/leon/commit/12e8f5c3bfb436aa212557cd99d9926aa431ab4f) | [8575e9e3](https://github.com/leon-ai/leon/commit/8575e9e3ef01499d9f7be6d313a85d48549e9107) | [5e128df0](https://github.com/leon-ai/leon/commit/5e128df023977525de3e66ce2826aace87569308) | [602aa694](https://github.com/leon-ai/leon/commit/602aa694ac49333f48c119cf2ca2aa7f54b8ae44) | [b9693df9](https://github.com/leon-ai/leon/commit/b9693df90cbc01067e18e64db4d377e41b3fd1d4) | [581da8cd](https://github.com/leon-ai/leon/commit/581da8cd9806323aabb0e85778d645df3c0948b9) | [53f7db55](https://github.com/leon-ai/leon/commit/53f7db55c6e916751f1d59c239628d5ea8914009) | [ae073971](https://github.com/leon-ai/leon/commit/ae0739717b6a17373d8f9bc69571c67c1c571b4a))
- **package/checker:** introduce Have I Been Pwned module ([61c1b55a](https://github.com/leon-ai/leon/commit/61c1b55af5691c03f6a6dae0cf3f236a374f1fe7) | [5a999bc6](https://github.com/leon-ai/leon/commit/5a999bc63aa0c667c4e3092daac6a05a6c4b4499) | [36368664](https://github.com/leon-ai/leon/commit/36368664fce8bcf0c17c4c83818aeb418f1e2f23) | [a7a6d885](https://github.com/leon-ai/leon/commit/a7a6d885a83455163eeca74a355177d65db156b8) | [c73ba52b](https://github.com/leon-ai/leon/commit/c73ba52ba8575a64b3329e59a50050d15281d0ec) | [8374e548](https://github.com/leon-ai/leon/commit/8374e5481022de9b134f49180a8dfe28db136261) | [a476fd0f](https://github.com/leon-ai/leon/commit/a476fd0f38f18bf8035db213be2c55f83871038d))
- **package/network:** add speedtest module ([09ad4340](https://github.com/leon-ai/leon/commit/09ad43406d3df8ca65f385a91c159def51f91811))
- **server:**
- add regex entity type [3fda3526](https://github.com/leon-ai/leon/commit/3fda3526c7425bdea4b669474fa77efd61c06a8e)
- catch unsupported action entity type [5bc6c3f1](https://github.com/leon-ai/leon/commit/5bc6c3f116d6b9ece2cc3bebdbdb08f019ee90b9)
- NER backbone [24cf3c9a](https://github.com/leon-ai/leon/commit/24cf3c9a4facd05a4c626ff9d2e7c83a5ae15298)
- introduce actions module [b449376f](https://github.com/leon-ai/leon/commit/b449376f61dc995e2e264c6a14ba123926f5cc58)
### Bug Fixes
- set correct status code for GET /downloads [690f1841](https://github.com/leon-ai/leon/commit/690f1841d681a1e48e1837e3e166228d6c2ddaf6)
- take `.env` in consideration when using Docker [d38e6095](https://github.com/leon-ai/leon/commit/d38e6095f9b71467b8486430fba4bb7007ec4c5a)
- spinner test [9071c927](https://github.com/leon-ai/leon/commit/9071c92790be674687590e4a896bbf44bc26fb43)
- e2e tests by adding modules actions level [5cf77d90](https://github.com/leon-ai/leon/commit/5cf77d9011a80b326f229b2309a6910ac0f1cfa2)
- **package/leon:** fix english translations [90225707](https://github.com/leon-ai/leon/commit/90225707f94154021cadeb9c61bdc48c3de5aa29)
- **package/network:** make use of new compatible speedtest lib [0c925626](https://github.com/leon-ai/leon/commit/0c925626df65858fa039972b3f3d5f38fde93eb6)
- **package/trend:**
- GitHub module new scraping [68414937](https://github.com/leon-ai/leon/commit/6841493740ca859000c1fd8d692b73fc79fcf500)
- when there is no star provided on the GitHub module [563fb409](https://github.com/leon-ai/leon/commit/563fb40955e2deb5c6d0bd064fc9cc8766a6fcaf)
- **server:**
- make use of Basic plugin from the main NLP container [e1d5bed3](https://github.com/leon-ai/leon/commit/e1d5bed3e688db566a0cb803dda5c2d57c599d8c)
- NER trim entity on after conditions [fa6a5a43](https://github.com/leon-ai/leon/commit/fa6a5a43a60b493aa403a44957082382494c129b)
### Documentation Changes
- add minimum Pipenv version requirement to README [72e46bd6](https://github.com/leon-ai/leon/commit/72e46bd6c175a4a149fb6b14522823b224d7c152)
- hunt broken links [b2a22792](https://github.com/leon-ai/leon/commit/b2a2279243e7566b57fb7f696024bdf08294e853)
- add "ci" commit type in CONTRIBUTING.md [09e2672b](https://github.com/leon-ai/leon/commit/09e2672b0b399f5ce9dd7cd446d04f4d6fd7c13a)
- use emojies in README [0ea7a78b](https://github.com/leon-ai/leon/commit/0ea7a78b7c94dc44c992913ae1c90fb1cf8a7692)
- add social badges to README [c55c7532](https://github.com/leon-ai/leon/commit/c55c7532b25bf420c4819be71b0f9c21ccc58711)
- Node.js 14 requirement [d1034bd1](https://github.com/leon-ai/leon/commit/d1034bd135fd5a6314a1571d4088fd85a8e6a1da)
# [1.0.0-beta.2](https://github.com/leon-ai/leon/compare/1.0.0-beta.1...1.0.0-beta.2) (2019-04-24)
### Features
- can send custom HTTP headers
([2685cdab](https://github.com/leon-ai/leon/commit/2685cdab07cc1a9ea418eab812e5163d2dd0da90))
- allow HTML output
([ec3f02df](https://github.com/leon-ai/leon/commit/ec3f02dfaf2f4b7623ce350350ebee28cf18740e))
- NLU improvement with node-nlp
([6585db71](https://github.com/leon-ai/leon/commit/6585db718ccae1d750a35783075cf61cc8fe84f1))
- **package/trend:**
- add answer when the Product Hunt developer token is not provided
([f40b479b](https://github.com/leon-ai/leon/commit/f40b479b295247c5a8a0e6ed81afe56fadfd2730))
- Product Hunt module done
([37794306](https://github.com/leon-ai/leon/commit/3779430621bef970be0e8d048eb0b4bf160ae8a4))
- basics done on the Product Hunt module
([32cc7dbe](https://github.com/leon-ai/leon/commit/32cc7dbe36592fb9618d9c10da5f05a4be7e41b6))
- complete dedicated answers according to the technology and given time
([8997d691](https://github.com/leon-ai/leon/commit/8997d6917445f837c9647a5a9b4d6998d2df4952))
- GitHub module done
([7c6f3922](https://github.com/leon-ai/leon/commit/7c6f3922f299193ee0fb54d0fc97f8b436fc706b))
- be able to choose a limit and a date range for the GitHub module
([3c088371](https://github.com/leon-ai/leon/commit/3c0883716e1c10371c399843a578095a1e16781d))
- format GitHub results in one message
([9d026b94](https://github.com/leon-ai/leon/commit/9d026b94efa8871d421ae2b593b96622a98537ac))
- simple GitHub module results
([5baec074](https://github.com/leon-ai/leon/commit/5baec07455f453d4ad003f1da360b2663b7e15e0))
- list GitHub trends in HTML raw
([3441629e](https://github.com/leon-ai/leon/commit/3441629e3cde933b322cb114d9f1bc3ef0eb3944) | [6b932e94](https://github.com/leon-ai/leon/commit/6b932e947fc365ea6435fda798b7cca32708b443))
- expressions dataset and structure
([f406a5a0](https://github.com/leon-ai/leon/commit/f406a5a09894e12c56a1e76dda609adada00b0d7) | [f54c2272](https://github.com/leon-ai/leon/commit/f54c2272b4b4dc5c56b512b0ccc1519d77ef15a3))
### Bug Fixes
- Leon was not fully installed with Docker if a `.env` file was existing
([c8a68ab0](https://github.com/leon-ai/leon/commit/c8a68ab02eec9ddaf803b6e36cd7e91a4989cdea))
- **package/trend:**
when there is no contributor on GitHub module
([d845e49b](https://github.com/leon-ai/leon/commit/d845e49b0f18caeb306e2d399c50a03883b2f55d))
- **server:**
- skip Pipenv locking until they fix it
([029381e3](https://github.com/leon-ai/leon/commit/029381e3256933f37f5c2950c4eb1f0192f55ec6) | [ecfdc73f](https://github.com/leon-ai/leon/commit/ecfdc73f8290dd9e1910df9519095516a1227763))
### Documentation Changes
- add `What is Leon able to do?` section in the readme
([87f53c91](https://github.com/leon-ai/leon/commit/87f53c91368141966959f3ad7299bb7b643828a5) | [d558fc8b](https://github.com/leon-ai/leon/commit/d558fc8b7c6494babf5dec799802227f77c33d8a))
- open-source != open source
([16a9372e](https://github.com/leon-ai/leon/commit/16a9372e05d4d31a7a39a65a52d4708b72499d4c) | [2155cd88](https://github.com/leon-ai/leon/commit/2155cd88decbbd671bd58840291d9330ce06ebba))
# [1.0.0-beta.1](https://github.com/leon-ai/leon/compare/1.0.0-beta.0...1.0.0-beta.1) (2019-02-24)
### Features
- add Docker support
([209760db](https://github.com/leon-ai/leon/commit/209760dba747001300692fb6a6af97543de584d6))
### Bug Fixes
- **package/checker:**
isitdown module fails with capital letters in URL
([ada6aaef](https://github.com/leon-ai/leon/commit/ada6aaef4bada47e87d28f9f6eaa05b9e23f58d2))
- **web app:**
enable environment variables
([a438d6f9](https://github.com/leon-ai/leon/commit/a438d6f942812f74e3dda75a9875609f8bea21cd))
### Performance Improvements
- **web app:**
favicon compression
([33dbcb42](https://github.com/leon-ai/leon/commit/33dbcb425eaafba90176ff64e5f689eb36bc6ce1))
### Documentation Changes
- update README to make the reader genderless
([58662658](https://github.com/leon-ai/leon/commit/586626586b7a2f84cb2cd84028111976bc5172f0))
- use "to rule them all" in README
([c74dda4c](https://github.com/leon-ai/leon/commit/c74dda4cb9acc78de143ae01fdc6b4ef0a5ec3ef))
- **readme:**
add story write-up
([08a68e37](https://github.com/leon-ai/leon/commit/08a68e376b6a9367425947380564120943376500))
# [1.0.0-beta.0](https://github.com/leon-ai/leon/compare/https://github.com/leon-ai/leon.git...1.0.0-beta.0) (2019-02-10)
Initial release.
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MIT License
Copyright (c) 2019-present, Louis Grenard <louis@getleon.ai>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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<p align="center">
<a href="https://getleon.ai"><img width="800" src="https://getleon.ai/img/hero-animation.gif" /></a>
</p>
<h1 align="center">
<a href="https://getleon.ai"><img width="96" src="https://getleon.ai/img/logo.svg" alt="Leon"></a><br>
Leon
</h1>
_<p align="center">Your open-source personal AI assistant.</p>_
<p align="center">
<a href="https://discord.gg/MNQqqKg"><img src="https://img.shields.io/badge/Discord-%235865F2.svg?style=for-the-badge&logo=discord&logoColor=white" /></a>
<a href="https://github.com/leon-ai/leon/blob/develop/LICENSE.md"><img src="https://img.shields.io/badge/License-MIT-1c75db?style=for-the-badge" /></a>
</p>
<p align="center">
I share Leon progress most regularly on <a href="https://x.com/grenlouis"><strong>X / @grenlouis</strong></a>
</p>
<p align="center">
<a href="https://x.com/grenlouis">Follow progress on X / @grenlouis</a> ·
<a href="https://getleon.ai">Website</a> ·
<a href="https://leonai.substack.com/subscribe">Newsletter</a> ·
<a href="http://roadmap.getleon.ai">Roadmap</a> ·
<a href="https://blog.getleon.ai/the-story-behind-leon/">Story</a>
</p>
---
## ⚠️ Important Notice (as of 2026-03-29)
> [!IMPORTANT]
> Leon is currently focused on the **2.0 Developer Preview** on the `develop` branch.
>
> - The new documentation is **not ready yet**.
> - The current docs site and older guides mostly reflect the legacy architecture.
> - If you want the legacy, more stable pre-agentic version of Leon, use the `master` branch.
> - If you want to explore or contribute to Leon's new core, `develop` is the right place.
The most accurate high-level references for Leon's current state are:
- [`core/context/LEON.md`](./core/context/LEON.md)
- [`core/context/ARCHITECTURE.md`](./core/context/ARCHITECTURE.md)
## 👋 Introduction
**Leon** is **your open-source personal AI assistant** built around **tools, context, memory, and agentic execution**.
Leon is designed to stay practical, privacy-aware, and grounded in your real environment. It can operate locally, use dedicated tools instead of relying on free-form guessing, and complete tasks from start to finish across deterministic workflows and agent-style execution.
## 🧠 What Leon Is Today
Leon is no longer just a classic intent-classification assistant like it was for its first release in 2019.
Today, Leon is being built as a more capable assistant that can understand a goal, choose how to handle it, use tools, remember useful information, and recover when something goes wrong.
- Leon can run in different ways depending on the task: `smart` mode chooses for you, `controlled` mode follows deterministic native skills and actions, and `agent` mode can plan step by step.
- Leon supports native skills for controlled actions and agent skills for `SKILL.md`-backed workflows.
- Leon can use real tools to get work done instead of only replying with plain text.
- Leon can use context about your environment so answers stay grounded in what is actually happening on your machine and setup.
- Leon keeps layered memory so it can remember durable preferences, day-to-day context, and recent discussion context.
- Leon supports both local and remote AI providers, which helps balance privacy, control, and capability.
- Under the hood, Leon-native skills follow `Skills -> Actions -> Tools -> Functions (-> Binaries)`.
Leon also keeps a compact self-model and a bounded proactive pulse system so it can stay more consistent over time without flooding itself with unnecessary context.
## Why?
- **Privacy matters**: Leon can work with local models and local context instead of forcing everything through third-party services.
- **Grounded behavior matters**: Leon prefers explicit tools, context, and memory over vague model-only responses.
- **Extensibility matters**: skills, toolkits, bridges, and binaries make it possible to keep Leon modular.
- **Open source matters**: anyone can inspect the architecture, build on top of it, and help shape where it goes next.
## 🚀 Getting Started
### Prerequisites
- [Node.js](https://nodejs.org/) >= 24.0.0
- Supported OSes: Linux, macOS, and Windows
Recommended: manage Node.js with [Volta](https://volta.sh/).
### Installation
```sh
# Clone the repository
git clone https://github.com/leon-ai/leon.git
# Go to the project root
cd leon
# Install pnpm
npm install --global pnpm@latest
# Install dependencies
pnpm install
```
### Run Leon
```sh
# Run Leon
pnpm start
```
### Check Your Setup
```sh
# Check the setup went well
pnpm run check
```
By default, Leon runs locally and the app is available on `http://localhost:5366`.
## 🏗️ Architecture Snapshot
At a high level, Leon currently consists of:
- `server/`: the main runtime, routing, memory, context management, HTTP API, and agent/controlled execution
- `app/`: the web application
- `aurora/`: UI components and preview environment
- `skills/`: built-in capabilities, split between `native/` skills and `agent/` skills
- `bridges/`: Node.js and Python bridges plus toolkit definitions and tool runtimes
- `tcp_server/`: Python services used by parts of the runtime stack
- `core/context/`: generated identity and architecture context documents that describe Leon's current behavior
This repository already includes skills and toolkits for areas such as search, productivity, system utilities, media workflows, coding assistance, memory-backed interactions, and voice/audio features.
## 📚 Documentation Status
The new docs for Leon 2.0 are not ready yet.
For now:
- treat this repository as the source of truth for the **2.0 Developer Preview**
- use [`core/context/LEON.md`](./core/context/LEON.md) for Leon's current identity and behavior
- use [`core/context/ARCHITECTURE.md`](./core/context/ARCHITECTURE.md) for the current architecture overview
- expect the public docs site to lag behind the new core until the updated documentation is published
## ❤️ Contributing
We are starting to progressively onboard contributors for the **2.0 Developer Preview**.
If you want to follow the project or express interest in joining that onboarding:
- [2.0 Developer Preview contributor form](https://forms.gle/6PCG2D5rYo1q8tKMA)
- [Roadmap](http://roadmap.getleon.ai)
- [Discord](https://discord.gg/MNQqqKg)
- [GitHub issues](https://github.com/leon-ai/leon/issues)
### Why is there a small amount of contributors?
Leon has been evolving for a long time, but the current 2.0 work is a major transition period.
For a long time, Leon was a smaller assistant project with a simpler architecture. Today, the core is being rebuilt into a much more capable system around tools, memory, context, and agent-style execution. That means a lot of things are still moving, and it makes contribution harder than it will be once the new docs and architecture settle down.
Another important reason is simply time: Leon is still developed largely during spare time. So progress can be uneven, and opening the project more broadly has to be balanced with keeping the direction coherent while the 2.0 Developer Preview is still taking shape.
## 📖 The Story Behind Leon
Leon started in 2017 and has been active since 2019. If you want the longer backstory, read [the story behind Leon](https://blog.getleon.ai/the-story-behind-leon/).
## 🔔 Stay Tuned
- [X / Twitter](https://x.com/grenlouis) is the main place where I share Leon progress updates
- [Newsletter](https://leonai.substack.com/subscribe)
- [Blog](https://blog.getleon.ai)
- [YouTube](https://www.youtube.com/channel/UCW6mk6j6nQUzFYY97r47emQ)
## 👨 Author
**Louis Grenard** ([@grenlouis](https://x.com/grenlouis))
## 👍 Sponsors
You can also contribute by [sponsoring Leon](http://sponsor.getleon.ai).
## Thanks
| ![OpenAI logo.](./.github/assets/thanks/openai-logo-light-mode.svg?v=2#gh-light-mode-only)![OpenAI logo.](./.github/assets/thanks/openai-logo-dark-mode.svg?v=2#gh-dark-mode-only) | ![JetBrains logo.](./.github/assets/thanks/jetbrains-mono-black.svg?v=2#gh-light-mode-only)![JetBrains logo.](./.github/assets/thanks/jetbrains-mono-white.svg?v=2#gh-dark-mode-only) | ![MacStadium logo.](./.github/assets/thanks/macstadium-logo-light-mode.svg?v=2#gh-light-mode-only)![MacStadium logo.](./.github/assets/thanks/macstadium-logo-dark-mode.svg?v=2#gh-dark-mode-only) |
| --- | --- | --- |
| [openai.com/form/codex-for-oss](https://openai.com/form/codex-for-oss/) | [jb.gg/OpenSource](https://jb.gg/OpenSource) | [macstadium.com/company/opensource](https://macstadium.com/company/opensource) |
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# WeHub 来源说明
- 原始项目:`leon-ai/leon`
- 原始仓库:https://github.com/leon-ai/leon
- 导入方式:上游默认分支的最新快照
- 原作者、版权和许可证信息以原始仓库及本仓库 LICENSE 为准
- 本文件仅用于记录来源,不代表 WeHub 是原项目作者
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.built-in-commands-modal {
position: fixed;
inset: 0;
z-index: 120;
display: block;
opacity: 0;
visibility: visible;
pointer-events: none;
transition:
opacity 0.18s ease,
visibility 0.18s ease;
}
.built-in-commands-modal--hidden {
opacity: 0;
visibility: hidden;
pointer-events: none;
}
.built-in-commands-modal--open {
opacity: 1;
visibility: visible;
pointer-events: auto;
}
.built-in-commands-modal__mask {
position: absolute;
inset: 0;
background: rgba(0, 0, 0, 0.56);
backdrop-filter: blur(10px);
}
.built-in-commands-modal__panel {
position: absolute;
top: 33%;
left: 50%;
transform: translate(-50%, -33%) scale(0.985);
width: min(864px, 100%);
min-height: 400px;
max-height: min(78vh, 756px);
display: flex;
flex-direction: column;
border: 1px solid transparent;
border-radius: 24px;
background:
linear-gradient(
var(--a-color-background-surface),
var(--a-color-background-surface)
)
padding-box,
linear-gradient(135deg, rgba(28, 117, 219, 0.8) 0%, rgba(237, 41, 122, 0.4) 100%)
border-box;
box-shadow:
0 28px 60px rgba(0, 0, 0, 0.45),
0 0 0 1px rgba(255, 255, 255, 0.03) inset;
overflow: hidden;
opacity: 0;
transition:
transform 0.18s cubic-bezier(0.18, 0.89, 0.32, 1.08),
opacity 0.18s ease;
}
.built-in-commands-modal--open .built-in-commands-modal__panel {
transform: translate(-50%, -33%) scale(1);
opacity: 1;
}
.built-in-commands-modal__section {
padding: 20px 22px;
}
.built-in-commands-modal__section--top {
border-bottom: 1px solid rgba(255, 255, 255, 0.08);
}
.built-in-commands-modal__section--bottom {
border-top: 1px solid rgba(255, 255, 255, 0.08);
}
.built-in-commands-modal__section--middle {
flex: 0 0 512px;
height: 512px;
min-height: 512px;
padding: 12px;
overflow: hidden;
}
.built-in-commands-modal__scroll-area {
height: 100%;
}
.built-in-commands-modal__input-field {
flex: 1;
}
.built-in-commands-modal__input-field .aurora-input-container {
--a-icon-container-width: 72px;
}
.built-in-commands-modal__input-field .aurora-input {
height: 72px;
font-size: 28px;
font-weight: 600;
}
.built-in-commands-modal__input-field .aurora-input-icon-container {
height: 72px;
}
.built-in-commands-modal__return-button .aurora-button {
min-height: 44px;
min-width: 44px;
padding: 0 14px;
font-size: var(--a-font-size-md);
}
.built-in-commands-modal__return-button .aurora-button .aurora-icon {
font-size: 22px;
}
.built-in-commands-modal__suggestion-copy {
min-width: 0;
}
.built-in-commands-modal .aurora-list-item > .aurora-flexbox .aurora-icon {
font-size: 28px;
padding: 23px;
border-radius: 12px;
}
.built-in-commands-modal
.aurora-list-item--selected
.aurora-list-item-clickable-icon
.aurora-icon {
color: var(--a-color-accent);
}
.built-in-commands-modal__result-item {
display: flex;
align-items: flex-start;
justify-content: space-between;
gap: 16px;
width: 100%;
}
.built-in-commands-modal__result-copy,
.built-in-commands-modal__result-value {
min-width: 0;
}
.built-in-commands-modal__result-value {
margin-left: auto;
}
.built-in-commands-modal .aurora-scroll-container-scrollview {
color-scheme: dark;
scrollbar-width: thin;
scrollbar-color: rgba(255, 255, 255, 0.2) rgba(10, 14, 18, 0.9);
}
.built-in-commands-modal .aurora-scroll-container-scrollview::-webkit-scrollbar {
width: 10px;
}
.built-in-commands-modal
.aurora-scroll-container-scrollview::-webkit-scrollbar-track {
background: rgba(10, 14, 18, 0.9);
border-radius: 999px;
}
.built-in-commands-modal
.aurora-scroll-container-scrollview::-webkit-scrollbar-thumb {
background: linear-gradient(
180deg,
rgba(54, 65, 76, 0.95) 0%,
rgba(30, 38, 46, 0.95) 100%
);
border: 1px solid rgba(255, 255, 255, 0.08);
border-radius: 999px;
}
.built-in-commands-modal
.aurora-scroll-container-scrollview::-webkit-scrollbar-thumb:hover {
background: linear-gradient(
180deg,
rgba(70, 82, 95, 0.98) 0%,
rgba(40, 49, 58, 0.98) 100%
);
}
@media (max-width: 900px) {
.built-in-commands-modal__panel {
width: auto;
min-height: 360px;
max-height: calc(100vh - 24px);
left: 12px;
right: 12px;
top: 18%;
transform: translate(0, 0) scale(0.985);
}
.built-in-commands-modal--open .built-in-commands-modal__panel {
transform: translate(0, 0) scale(1);
}
.built-in-commands-modal__section {
padding: 16px;
}
.built-in-commands-modal__section--middle {
flex-basis: 280px;
height: 280px;
min-height: 280px;
}
.built-in-commands-modal__result-item {
flex-direction: column;
gap: 6px;
}
}
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.file-system-autocomplete {
position: fixed;
z-index: 150;
overflow-y: auto;
padding: 6px;
border: 1px solid rgba(255, 255, 255, 0.12);
border-radius: 8px;
background: #111315;
box-shadow:
0 18px 42px rgba(0, 0, 0, 0.42),
0 0 0 1px rgba(255, 255, 255, 0.03) inset;
color: var(--white-color);
}
.file-system-autocomplete--hidden {
display: none;
}
.file-system-autocomplete__item {
display: flex;
align-items: center;
gap: 10px;
width: 100%;
min-height: 42px;
padding: 9px 10px;
border: 0;
border-radius: 6px;
background: transparent;
color: inherit;
cursor: pointer;
font: inherit;
line-height: 1.35;
text-align: left;
}
.file-system-autocomplete__item:hover,
.file-system-autocomplete__item--selected {
background: rgba(28, 117, 219, 0.22);
}
.file-system-autocomplete__item i {
flex: 0 0 auto;
width: 18px;
color: var(--blue-color);
font-size: 18px;
}
.file-system-autocomplete__label {
min-width: 0;
overflow: hidden;
line-height: 1.35;
text-overflow: ellipsis;
white-space: nowrap;
}
.file-system-autocomplete__empty {
padding: 10px;
color: rgba(255, 255, 255, 0.58);
font-size: 0.95rem;
}
.file-system-autocomplete::-webkit-scrollbar {
width: 6px;
}
.file-system-autocomplete::-webkit-scrollbar-thumb {
background-color: rgba(255, 255, 255, 0.2);
border-radius: 12px;
}
+863
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@@ -0,0 +1,863 @@
@use 'sass:meta';
@import '@fontsource/source-sans-pro/200.css';
@import '@fontsource/source-sans-pro/300.css';
@import '@fontsource/source-sans-pro/400.css';
@import '@fontsource/source-sans-pro/600.css';
@import '@fontsource/source-sans-pro/700.css';
@import '@fontsource/source-sans-pro/900.css';
@import 'remixicon/fonts/remixicon.css';
@include meta.load-css('tool-ui');
@include meta.load-css('voice-energy/main');
@include meta.load-css('file-system-autocomplete');
html,
body,
div,
span,
applet,
object,
iframes,
h1,
h2,
h3,
h4,
h5,
h6,
p,
blockquote,
pre,
a,
abbr,
acronym,
address,
big,
cite,
code,
del,
dfn,
em,
img,
ins,
kbd,
q,
s,
samp,
small,
strike,
sub,
sup,
tt,
var,
u,
i,
center,
dl,
dt,
dd,
ol,
ul,
li,
fieldset,
form,
label,
legend,
table,
caption,
tbody,
tfoot,
thead,
tr,
th,
td,
article,
aside,
canvas,
details,
embed,
figure,
figcaption,
footer,
header,
hgroup,
menu,
nav,
output,
ruby,
section,
summary,
time,
mark,
audio,
video {
margin: 0;
padding: 0;
border: 0;
font-size: 100%;
vertical-align: baseline;
}
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
menu,
nav,
section {
display: block;
}
blockquote,
q {
quotes: none;
}
blockquote:before,
blockquote:after,
q:before,
q:after {
content: '';
content: none;
}
table {
border-collapse: collapse;
border-spacing: 0;
}
* {
box-sizing: border-box;
outline: none;
}
:root {
color-scheme: dark;
--black-color: #000;
--light-black-color: #222426;
--white-color: #fff;
--grey-color: #323739;
--blue-color: #1c75db;
--pink-color: #ed297a;
--sessions-panel-width: 292px;
--a-loader-size-md: 20px !important;
}
a {
color: inherit;
}
#feed ul li:not(.aurora-list-item) {
margin-left: 20px;
}
body {
color: var(--white-color);
background-color: var(--black-color);
font-family:
'Source Sans Pro',
system-ui,
-apple-system,
BlinkMacSystemFont,
'Segoe UI',
Roboto,
'Helvetica Neue',
Arial,
'Noto Sans',
sans-serif,
'Apple Color Emoji',
'Segoe UI Emoji',
'Segoe UI Symbol',
'Noto Color Emoji';
font-weight: 400;
}
@keyframes plan-tool-status-cozy-shine {
0% {
opacity: 0.4;
filter: drop-shadow(0 0 0 rgba(255, 255, 255, 0));
}
50% {
opacity: 1;
filter: drop-shadow(0 0 5px rgba(255, 255, 255, 0.22));
}
100% {
opacity: 0.4;
filter: drop-shadow(0 0 0 rgba(255, 255, 255, 0));
}
}
#feed
.bubble-container[data-message-id^='plan-']
.aurora-list
.aurora-list-item--center:last-child
.aurora-status
.aurora-icon {
animation: plan-tool-status-cozy-shine 2.6s ease-in-out infinite;
}
body > * {
transition: opacity 0.5s;
}
body.settingup > *:not(#init) {
opacity: 0;
}
#init .not-initialized {
visibility: hidden;
}
#init .initialized {
opacity: 0;
visibility: hidden;
}
kbd {
font-family: 'Source Sans Pro', monospace;
display: inline-block;
background-color: var(--light-black-color);
color: rgba(255, 255, 255, 0.4);
border-radius: 4px;
text-align: center;
min-width: 16px;
min-height: 16px;
line-height: 16px !important;
padding: 2px 6px !important;
margin: 0 !important;
}
#sessions-panel {
position: absolute;
left: 2%;
top: 2%;
bottom: 8%;
width: var(--sessions-panel-width);
border-right: 1px solid rgba(255, 255, 255, 0.12);
color: var(--white-color);
overflow: hidden;
}
#sessions-header {
display: flex;
align-items: center;
justify-content: space-between;
padding: 0 14px 14px 0;
}
#sessions-eyebrow {
color: rgba(255, 255, 255, 0.42);
font-size: 0.9rem;
font-weight: 700;
text-transform: uppercase;
}
#new-session,
.session-action {
border: 0;
background: rgba(255, 255, 255, 0.08);
color: var(--white-color);
cursor: pointer;
transition:
background-color 0.18s,
color 0.18s,
transform 0.18s;
}
#new-session {
width: 34px;
height: 34px;
border-radius: 8px;
font-size: 1.2rem;
}
#new-session:hover,
.session-action:hover {
background: rgba(28, 117, 219, 0.22);
color: #86bdff;
}
#sessions-list {
height: calc(100% - 48px);
padding-right: 14px;
overflow-y: auto;
}
#sessions-list::-webkit-scrollbar {
width: 6px;
}
#sessions-list::-webkit-scrollbar-thumb {
background-color: rgba(255, 255, 255, 0.16);
border-radius: 12px;
}
.session-group {
position: relative;
padding: 0 0 12px 14px;
}
.session-group::before {
content: '';
position: absolute;
left: 3px;
top: 22px;
bottom: 0;
width: 1px;
background: linear-gradient(
rgba(28, 117, 219, 0.7),
rgba(237, 41, 122, 0.22)
);
}
.session-group-title {
position: relative;
margin-bottom: 8px;
color: rgba(255, 255, 255, 0.44);
font-size: 0.78rem;
font-weight: 700;
text-transform: uppercase;
}
.session-group-title::before {
content: '';
position: absolute;
left: -14px;
top: 7px;
width: 7px;
height: 7px;
border-radius: 50%;
background: var(--blue-color);
box-shadow: 0 0 12px rgba(28, 117, 219, 0.8);
}
.session-item {
position: relative;
padding: 10px 8px;
border-radius: 8px;
cursor: pointer;
animation: sessionTimelineIn 0.24s ease-out both;
}
.session-item:hover,
.session-item--active {
background: rgba(255, 255, 255, 0.07);
}
.session-item--active::before {
content: '';
position: absolute;
left: -11px;
top: 18px;
width: 5px;
height: 5px;
border-radius: 50%;
background: var(--pink-color);
box-shadow: 0 0 10px rgba(237, 41, 122, 0.9);
}
.session-title {
overflow: hidden;
color: rgba(255, 255, 255, 0.9);
font-size: 0.98rem;
font-weight: 700;
line-height: 1.2rem;
text-overflow: ellipsis;
white-space: nowrap;
}
.session-meta {
overflow: hidden;
margin-top: 2px;
color: rgba(255, 255, 255, 0.36);
font-size: 0.8rem;
line-height: 1rem;
text-overflow: ellipsis;
white-space: nowrap;
}
.session-actions {
display: flex;
gap: 4px;
margin-top: 8px;
opacity: 0;
transition: opacity 0.16s;
}
.session-item:hover .session-actions,
.session-item--active .session-actions {
opacity: 1;
}
.session-action {
width: 26px;
height: 26px;
border-radius: 6px;
}
.session-action[aria-pressed='true'] {
color: #ff7caf;
}
@keyframes sessionTimelineIn {
from {
opacity: 0;
transform: translateY(8px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
main {
position: absolute;
width: calc(94% - var(--sessions-panel-width));
top: 0;
left: calc(4% + var(--sessions-panel-width));
height: 100%;
}
#footer {
display: flex;
position: absolute;
align-items: center;
justify-content: space-between;
left: calc(4% + var(--sessions-panel-width));
bottom: 2%;
width: calc(94% - var(--sessions-panel-width));
line-height: 18px;
}
#logo-container {
display: flex;
gap: 6px;
align-items: center;
}
#version {
color: var(--grey-color);
}
textarea {
font-family: inherit;
text-align: center;
color: var(--white-color);
width: 100%;
border: none;
border-bottom: 2px solid var(--grey-color);
background: none;
font-weight: 600;
font-size: 4em;
padding-right: 39px;
height: 140px;
resize: none;
overflow-y: auto;
}
textarea::-webkit-scrollbar {
width: 6px;
}
textarea::-webkit-scrollbar-thumb {
background-color: rgba(255, 255, 255, 0.2);
border-radius: 12px;
}
#tip {
display: inline-flex;
margin-top: 2px;
color: var(--white-color);
line-height: 22px;
font-size: 0.9em;
gap: 20px;
li {
margin-left: 0;
}
}
.hide {
display: none;
}
#logo {
background: no-repeat url(../img/logo.svg);
width: 34px;
height: 34px;
}
#top-container {
position: absolute;
top: 2%;
color: var(--grey-color);
display: flex;
width: 100%;
justify-content: space-between;
}
#mood {
position: relative;
font-size: 16px;
}
#info {
position: relative;
text-decoration: underline;
background: none;
border: none;
color: var(--grey-color);
cursor: pointer;
font-size: inherit;
}
#feed {
position: absolute;
width: 100%;
top: 6%;
height: 58%;
overflow-y: auto;
border: 2px solid var(--grey-color);
border-radius: 12px;
}
#feed::-webkit-scrollbar {
width: 6px;
}
#feed::-webkit-scrollbar-thumb {
background-color: rgba(255, 255, 255, 0.2);
border-radius: 12px;
}
#no-bubble {
margin-top: 64px;
text-align: center;
}
#is-typing {
position: absolute;
top: 65%;
padding: 0 8px;
opacity: 0;
transition: opacity 0.3s;
}
#is-typing.on {
opacity: 1;
}
#is-typing .circle {
display: inline-block;
border-radius: 50%;
width: 10px;
height: 10px;
background-color: var(--white-color);
transform: scale(1);
}
#is-typing .circle:nth-child(1) {
animation: typing 0.2s linear infinite alternate;
background-color: #0071f0;
}
#is-typing .circle:nth-child(2) {
animation: typing 0.2s 0.2s linear infinite alternate;
background-color: var(--white-color);
}
#is-typing .circle:nth-child(3) {
animation: typing 0.2s linear infinite alternate;
background-color: #ec297a;
}
@keyframes typing {
100% {
transform: scale(1.5);
}
}
.llm-token {
opacity: 0;
transition: opacity 2.5s;
}
.llm-token.fade-in {
animation: fadeIn 2.5s forwards;
}
.reasoning-block-container {
padding: 6px;
text-align: left;
}
.reasoning-block {
max-width: 72%;
border: 1px solid rgba(255, 255, 255, 0.16);
border-radius: 12px;
background-color: #111315;
overflow: hidden;
animation: fadeIn 0.2s ease-in forwards;
}
.reasoning-header {
display: flex;
align-items: center;
gap: 6px;
padding: 8px 12px;
border-bottom: 1px solid rgba(255, 255, 255, 0.1);
background-color: rgba(255, 255, 255, 0.03);
}
.reasoning-icon {
color: var(--blue-color);
font-size: 15px;
}
.reasoning-title {
font-size: 0.85rem;
letter-spacing: 0.04em;
text-transform: uppercase;
color: rgba(255, 255, 255, 0.8);
}
.reasoning-content {
padding: 10px 12px;
font-family: 'Courier New', Consolas, monospace;
font-size: 0.95rem;
line-height: 1.45;
color: rgba(255, 255, 255, 0.82);
white-space: pre-wrap;
word-break: break-word;
max-height: 296px;
overflow-y: auto;
}
.reasoning-content::-webkit-scrollbar {
width: 6px;
}
.reasoning-content::-webkit-scrollbar-thumb {
background-color: rgba(255, 255, 255, 0.2);
border-radius: 12px;
}
.reasoning-token {
opacity: 0;
}
.reasoning-token.fade-in {
animation: fadeIn 0.35s forwards;
}
.bubble-container {
padding: 6px;
display: flex;
flex-direction: column;
width: fit-content;
max-width: 85%;
}
.bubble-container.me {
margin-left: auto;
align-items: flex-end;
text-align: right;
}
.bubble-container.leon {
margin-right: auto;
align-items: flex-start;
text-align: left;
}
.show-more {
margin: 3px;
text-decoration: underline;
}
.show-more:hover {
cursor: pointer;
text-decoration: none;
}
.show-all {
max-height: 100% !important;
}
.bubble {
padding: 10px 16px;
border-radius: 16px;
display: inline-block;
max-width: 100%;
word-break: break-word;
text-align: left;
opacity: 0;
animation: fadeIn 0.2s ease-in forwards;
overflow: hidden;
font-size: 1.8rem;
line-height: 2.4rem;
}
.bubble-metrics {
cursor: default;
margin-top: 2px;
padding: 0 4px;
display: inline-flex;
flex-wrap: wrap;
justify-content: flex-end;
gap: 10px;
font-size: 0.95rem;
line-height: 1.2rem;
color: var(--grey-color);
align-self: flex-end;
text-align: right;
}
.bubble-metric-item {
display: inline-flex;
align-items: center;
gap: 4px;
}
.bubble-metric-item i {
font-size: 1rem;
}
#feed .me .bubble-metrics {
text-align: right;
}
#feed .me .bubble {
background-color: #1c75db;
color: var(--white-color);
right: 0;
}
#feed .leon .bubble {
background-color: var(--light-black-color);
color: var(--white-color);
}
@keyframes fadeIn {
100% {
opacity: 1;
}
}
#input-container {
position: absolute;
width: 100%;
bottom: 13%;
}
#mic-container {
position: absolute;
right: 0;
margin-top: 38px;
}
.italic {
font-style: italic;
}
#mic-button {
position: absolute;
border: none;
cursor: pointer;
height: 26px;
width: 26px;
border-radius: 50%;
background-color: #888;
-webkit-mask-image: url(../img/mic.svg);
mask-image: url(../img/mic.svg);
transition: background-color 0.2s;
}
#mic-button:not(.enabled) {
margin-left: -26px;
}
#mic-button:hover {
background-color: var(--white-color);
}
#mic-button.enabled {
background-color: #00e676;
}
#mic-button.enabled + #sonar {
width: 26px;
height: 26px;
border-radius: 50%;
opacity: 0.3;
background-color: #575757;
pointer-events: none;
animation: sonar 1.3s linear infinite;
}
@keyframes sonar {
25% {
transform: scale(1.5);
}
50% {
transform: scale(1.2);
}
60% {
transform: scale(1.5);
}
75% {
transform: scale(2);
}
100% {
transform: scale(1);
}
}
/* Clickable URL styles */
.clickable-url {
text-decoration: underline;
}
/* Clickable file path styles */
.clickable-path {
cursor: pointer;
text-decoration: underline;
}
@media (max-width: 940px) {
:root {
--sessions-panel-width: 100%;
}
#sessions-panel {
left: 4%;
right: 4%;
top: 1%;
bottom: auto;
width: auto;
height: 168px;
border-right: 0;
border-bottom: 1px solid rgba(255, 255, 255, 0.12);
}
#sessions-list {
display: flex;
gap: 12px;
height: 112px;
overflow-x: auto;
overflow-y: hidden;
}
.session-group {
min-width: 220px;
}
main {
top: 176px;
left: 4%;
width: 92%;
height: calc(100% - 176px);
}
#footer {
display: none;
}
#top-container {
top: 1%;
}
#feed {
top: 7%;
height: 50%;
}
#is-typing {
top: 58%;
}
textarea {
font-size: 2.4em;
}
#tip {
flex-wrap: wrap;
gap: 8px;
}
}
+418
View File
@@ -0,0 +1,418 @@
/* Tool Output Container Styles */
.tool-group-container {
margin: 10px 6px;
border: 1px solid rgba(255, 255, 255, 0.08);
border-radius: 14px;
background:
linear-gradient(
180deg,
rgba(255, 255, 255, 0.04) 0%,
rgba(255, 255, 255, 0.02) 100%
),
#15181a;
box-shadow:
0 10px 30px rgba(0, 0, 0, 0.24),
inset 0 1px 0 rgba(255, 255, 255, 0.03);
opacity: 0;
animation: fadeIn 0.3s ease-in forwards;
overflow: hidden;
}
.tool-header {
display: flex;
align-items: center;
justify-content: space-between;
gap: 12px;
width: 100%;
padding: 14px 16px;
background: transparent;
border: 0;
cursor: pointer;
color: inherit;
text-align: left;
transition: background-color 0.2s ease;
}
.tool-header:hover {
background-color: rgba(255, 255, 255, 0.03);
}
.tool-icon {
color: var(--blue-color);
font-size: 18px;
flex-shrink: 0;
}
.tool-name {
flex: 1;
font-weight: 600;
color: var(--white-color);
font-size: 0.95em;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.expand-icon {
color: rgba(255, 255, 255, 0.48);
font-size: 18px;
transition: transform 0.2s ease;
}
.expand-icon.rotated {
transform: rotate(180deg);
}
.tool-content {
max-height: 0;
overflow: hidden;
transition: max-height 0.3s ease, border-top-color 0.2s ease;
border-top: 1px solid transparent;
}
.tool-content.expanded {
max-height: 900px;
overflow-y: auto;
border-top-color: rgba(255, 255, 255, 0.06);
}
.tool-content::-webkit-scrollbar {
width: 4px;
}
.tool-content::-webkit-scrollbar-thumb {
background-color: rgba(255, 255, 255, 0.1);
border-radius: 2px;
}
.shell-output {
padding: 12px;
background-color: #0d1117;
border-radius: 0 0 14px 14px;
min-height: 40px;
font-family: 'Courier New', Consolas, monospace;
font-size: 0.9em;
}
.shell-message {
margin: 2px 0;
line-height: 1.4;
color: #e6edf3;
word-break: break-word;
}
.shell-prompt {
color: var(--pink-color);
font-weight: bold;
margin-right: 8px;
}
.shell-message .clickable-path {
color: var(--blue-color);
background-color: rgba(28, 117, 219, 0.1);
padding: 1px 4px;
border-radius: 3px;
border: 1px solid rgba(28, 117, 219, 0.3);
}
.shell-message .clickable-url {
color: var(--blue-color);
}
.tool-activity-card {
background:
radial-gradient(
circle at top right,
rgba(28, 117, 219, 0.14),
transparent 32%
),
linear-gradient(
180deg,
rgba(255, 255, 255, 0.04) 0%,
rgba(255, 255, 255, 0.02) 100%
),
#15181a;
}
.agent-skill-activity-card {
background:
radial-gradient(
circle at top right,
rgba(237, 41, 122, 0.14),
transparent 32%
),
linear-gradient(
180deg,
rgba(255, 255, 255, 0.04) 0%,
rgba(255, 255, 255, 0.02) 100%
),
#15181a;
}
.agent-skill-activity-card .tool-icon {
color: #ed297a;
}
.tool-activity-header {
align-items: flex-start;
}
.tool-activity-heading {
display: flex;
align-items: flex-start;
gap: 12px;
min-width: 0;
flex: 1;
}
.tool-activity-title-block {
display: flex;
flex-direction: column;
min-width: 0;
gap: 2px;
}
.tool-title {
color: var(--white-color);
font-size: 1rem;
font-weight: 700;
line-height: 1.2;
}
.tool-subtitle {
color: rgba(255, 255, 255, 0.58);
font-size: 0.86rem;
line-height: 1.2;
}
.tool-activity-meta {
display: flex;
align-items: center;
gap: 10px;
flex-shrink: 0;
}
.tool-status-chip {
display: inline-flex;
align-items: center;
justify-content: center;
min-width: 72px;
padding: 5px 10px;
border-radius: 999px;
border: 1px solid transparent;
font-size: 0.76rem;
font-weight: 700;
letter-spacing: 0.02em;
text-transform: uppercase;
}
.tool-status-chip.running {
color: #9fd2ff;
background-color: rgba(28, 117, 219, 0.14);
border-color: rgba(28, 117, 219, 0.28);
}
.tool-status-chip.success {
color: #93f0c1;
background-color: rgba(36, 178, 101, 0.15);
border-color: rgba(36, 178, 101, 0.28);
}
.tool-status-chip.selected {
color: #93f0c1;
background-color: rgba(36, 178, 101, 0.15);
border-color: rgba(36, 178, 101, 0.28);
}
.tool-status-chip.observed {
color: #f5d48a;
background-color: rgba(210, 157, 38, 0.15);
border-color: rgba(210, 157, 38, 0.3);
}
.tool-status-chip.error {
color: #ffb0b0;
background-color: rgba(237, 41, 122, 0.14);
border-color: rgba(237, 41, 122, 0.28);
}
.tool-activity-summary {
padding: 16px 16px 4px;
color: rgba(255, 255, 255, 0.82);
font-size: 0.95rem;
line-height: 1.45;
}
.tool-activity-sections {
display: grid;
grid-template-columns: repeat(2, minmax(0, 1fr));
gap: 12px;
padding: 12px 16px 16px;
}
.tool-activity-sections.single {
grid-template-columns: 1fr;
}
.tool-activity-panel {
border: 1px solid rgba(255, 255, 255, 0.07);
border-radius: 12px;
background-color: rgba(255, 255, 255, 0.025);
min-width: 0;
}
.tool-panel-heading {
display: flex;
flex-direction: column;
gap: 2px;
padding: 12px 14px 10px;
border-bottom: 1px solid rgba(255, 255, 255, 0.06);
}
.tool-panel-title {
color: var(--white-color);
font-size: 0.84rem;
font-weight: 700;
text-transform: uppercase;
letter-spacing: 0.04em;
}
.tool-panel-description {
color: rgba(255, 255, 255, 0.5);
font-size: 0.78rem;
}
.tool-panel-body {
padding: 12px 14px 14px;
min-height: 72px;
}
.tool-output-summary {
margin-bottom: 10px;
color: rgba(255, 255, 255, 0.86);
line-height: 1.45;
}
.tool-empty-state {
color: rgba(255, 255, 255, 0.45);
font-size: 0.88rem;
line-height: 1.4;
}
.tool-kv-list {
display: flex;
flex-direction: column;
gap: 10px;
}
.tool-kv-row {
display: flex;
flex-direction: column;
gap: 4px;
}
.tool-kv-key {
color: rgba(255, 255, 255, 0.52);
font-size: 0.75rem;
font-weight: 700;
letter-spacing: 0.03em;
text-transform: uppercase;
}
.tool-kv-value {
color: rgba(255, 255, 255, 0.88);
min-width: 0;
}
.tool-rich-text {
color: rgba(255, 255, 255, 0.88);
line-height: 1.45;
word-break: break-word;
}
.tool-command-output {
margin: 0;
max-height: 320px;
overflow: auto;
color: rgba(255, 255, 255, 0.86);
font-family: 'Courier New', Consolas, monospace;
font-size: 0.84rem;
line-height: 1.45;
white-space: pre-wrap;
word-break: break-word;
}
.tool-rich-text .clickable-path {
color: var(--blue-color);
background-color: rgba(28, 117, 219, 0.1);
padding: 1px 4px;
border-radius: 3px;
border: 1px solid rgba(28, 117, 219, 0.3);
}
.tool-rich-text .clickable-url {
color: var(--blue-color);
}
.tool-value-list {
display: flex;
flex-direction: column;
gap: 8px;
margin-left: 18px;
}
.tool-value-list li {
color: rgba(255, 255, 255, 0.88);
line-height: 1.4;
}
.tool-raw-details {
margin: 0 16px 16px;
border-top: 1px solid rgba(255, 255, 255, 0.06);
padding-top: 12px;
}
.tool-raw-details summary {
cursor: pointer;
color: rgba(255, 255, 255, 0.62);
font-size: 0.82rem;
font-weight: 700;
letter-spacing: 0.03em;
text-transform: uppercase;
list-style: none;
}
.tool-raw-details summary::-webkit-details-marker {
display: none;
}
.tool-raw-content {
margin-top: 12px;
padding: 12px 14px;
border-radius: 10px;
background-color: rgba(0, 0, 0, 0.3);
color: rgba(255, 255, 255, 0.78);
font-family: 'Courier New', Consolas, monospace;
font-size: 0.84rem;
line-height: 1.45;
overflow-x: auto;
}
@media screen and (max-width: 700px) {
.tool-activity-sections {
grid-template-columns: 1fr;
}
.tool-activity-header {
gap: 10px;
}
.tool-activity-meta {
align-items: flex-end;
}
.tool-status-chip {
min-width: 64px;
padding: 5px 8px;
}
}
+8
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@use 'sass:color';
$voice-neon-pink-color: #ed297a;
$voice-neon-blue-color: #1c75db;
$voice-neon-shadow-color: color.mix(
$voice-neon-pink-color,
$voice-neon-blue-color
);
+162
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/**
* Overlay and containers
*/
body.voice-mode-enabled {
#voice-overlay-transitor,
#voice-overlay-bg {
visibility: visible;
}
#voice-overlay-bg {
opacity: 1;
}
}
#voice-overlay-transitor {
position: fixed;
background-color: var(--black-color);
z-index: 10;
width: 12px;
height: 12px;
border-radius: 50%;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
will-change: transform;
animation: scaleIn 1s;
}
@keyframes scaleIn {
0% {
transform: scale3d(0, 0, 1);
}
100% {
transform: scale3d(172, 172, 1);
}
}
#voice-status,
#voice-tips {
color: var(--grey-color);
text-align: center;
}
#voice-status {
font-size: 17px;
font-style: italic;
}
#voice-tips {
margin-top: 32px;
line-height: 18px;
font-size: 15px;
}
#voice-overlay-bg {
visibility: hidden;
cursor: pointer;
opacity: 0;
position: fixed;
width: 100vw;
height: 100vh;
z-index: 100;
will-change: opacity;
display: flex;
justify-content: center;
// backdrop-filter: saturate(140%) blur(5px);
/*background-color: rgba(0, 0, 0, .9);*/
background-color: var(--black-color);
}
@keyframes skipFadeIn {
0% {
opacity: 1;
}
100% {
opacity: 1;
}
}
#voice-container {
opacity: 0;
position: relative;
top: 64px;
display: flex;
flex-direction: column;
width: 1024px;
height: 756px;
align-items: center;
gap: 64px;
animation: fadeIn 1s 3s both;
}
#voice-energy-container {
--neon-size: 228px;
// animation: fadeIn 1s 1.5s both;
//opacity: 0;
overflow: hidden;
position: relative;
height: 400px;
border-radius: 50%;
display: flex;
justify-content: center;
align-items: center;
}
p#voice-speech {
width: 100%;
height: 100%;
flex: 1;
text-align: center;
font-size: 3rem;
font-weight: 600;
}
/**
* Neons
*/
.voice-neon {
position: absolute;
z-index: 10;
width: var(--neon-size);
height: var(--neon-size);
}
#purple-neon-blur {
--neon-blur: calc(var(--neon-size) + 96px);
position: absolute;
z-index: 0;
opacity: 0.7;
width: var(--neon-blur);
height: var(--neon-blur);
}
#blue-neon-1 {
margin-top: -8px;
margin-left: 12px;
}
#blue-neon-2 {
margin-top: 8px;
margin-right: 12px;
}
/**
* Particles
*/
.voice-particle {
position: absolute;
width: 3px;
height: 3px;
border-radius: 50%;
opacity: 1;
will-change: transform, opacity;
animation-duration: 1s;
animation-iteration-count: infinite;
}
.voice-particle.blue {
background-color: #c4e0ff;
box-shadow: 0 0 2px 2px var(--blue-color);
}
.voice-particle.pink {
background-color: #ffb9d7;
box-shadow: 0 0 2px 2px var(--pink-color);
}
+61
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@use 'variables' as *;
/**
* IDLE status
*/
#voice-energy-container.idle {
.voice-particle {
visibility: hidden;
animation-play-state: paused;
opacity: 0;
}
.voice-neon {
margin: 0;
}
#purple-neon-blur {
transform: scale(1);
}
#purple-neon-blur circle {
filter: drop-shadow(0px 0px 64px $voice-neon-shadow-color);
animation: idleNeonBlurBreath 2.2s infinite alternate;
}
#pink-neon-1 {
transform: scale(1);
animation: idleBouncePinkNeon1 1.8s 1s infinite alternate;
}
#blue-neon-1 {
transform: scale(0.8);
animation: idleMoveBlueNeon1 1.8s infinite alternate;
}
#blue-neon-2 {
transform: scale(0.9);
animation: idleMoveBlueNeon2 1.8s 0.5s infinite alternate;
}
}
@keyframes idleNeonBlurBreath {
100% {
filter: drop-shadow(0px 0px 0px $voice-neon-shadow-color);
}
}
@keyframes idleBouncePurpleNeonBlur {
100% {
transform: scale(1);
}
}
@keyframes idleBouncePinkNeon1 {
100% {
transform: scale(1.1);
}
}
@keyframes idleMoveBlueNeon1 {
100% {
transform: scale(0.9);
}
}
@keyframes idleMoveBlueNeon2 {
100% {
transform: scale(1);
}
}
+61
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@use 'variables' as *;
/**
* Listening status
*/
#voice-energy-container.listening {
.voice-particle {
visibility: hidden;
animation-play-state: paused;
opacity: 0;
}
.voice-neon {
margin: 0;
}
#purple-neon-blur {
transform: scale(1);
}
#purple-neon-blur circle {
filter: drop-shadow(0px 0px 64px $voice-neon-shadow-color);
animation: listeningNeonBlurBreath 0.7s infinite alternate;
}
#pink-neon-1 {
transform: scale(1);
animation: listeningBouncePinkNeon1 0.3s 1s infinite alternate;
}
#blue-neon-1 {
transform: scale(0.8);
animation: listeningMoveBlueNeon1 0.3s infinite alternate;
}
#blue-neon-2 {
transform: scale(0.9);
animation: listeningMoveBlueNeon2 0.3s 0.5s infinite alternate;
}
}
@keyframes listeningNeonBlurBreath {
100% {
filter: drop-shadow(0px 0px 0px $voice-neon-shadow-color);
}
}
@keyframes listeningBouncePurpleNeonBlur {
100% {
transform: scale(1);
}
}
@keyframes listeningBouncePinkNeon1 {
100% {
transform: scale(1.1);
}
}
@keyframes listeningMoveBlueNeon1 {
100% {
transform: scale(0.9);
}
}
@keyframes listeningMoveBlueNeon2 {
100% {
transform: scale(1);
}
}
+5
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@use 'base';
@use 'listening';
@use 'idle';
@use 'processing';
@use 'talking';
+88
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@use 'sass:math';
/**
* Processing status
*/
#voice-energy-container.processing {
#purple-neon-blur {
animation: processingBouncePurpleNeonBlur 1s infinite alternate;
}
#pink-neon-1 {
animation: processingBouncePinkNeon1 0.5s infinite alternate;
}
#blue-neon-1 {
animation: processingMoveBlueNeon1 0.5s infinite alternate;
}
#blue-neon-2 {
animation: processingMoveBlueNeon2 0.5s infinite alternate;
}
}
@keyframes processingBouncePurpleNeonBlur {
50% {
transform: scale(1.07);
}
100% {
transform: scale(1);
}
}
@keyframes processingBouncePinkNeon1 {
50% {
transform: scale(1.02);
}
100% {
transform: scale(1);
}
}
@keyframes processingMoveBlueNeon1 {
0% {
transform: translateX(0) translateY(0);
}
33% {
transform: translateY(-3px) translateX(-2px);
}
66% {
transform: translateY(-3px) translateX(3px);
}
100% {
transform: translateY(-3px) translateX(1px);
}
}
@keyframes processingMoveBlueNeon2 {
0% {
transform: translateX(0) translateY(0);
}
33% {
transform: translateY(3px) translateX(2px);
}
66% {
transform: translateY(3px) translateX(3px);
}
100% {
transform: translateY(3px) translateX(-1px);
}
}
@for $i from 0 through 31 {
.processing .voice-particle[data-particle='#{$i}'] {
animation-delay: #{$i * 0.1}s;
}
.processing .voice-particle[data-particle='#{$i}'] {
animation-name: processingMoveParticle#{$i};
}
#voice-energy-container.processing {
@keyframes processingMoveParticle#{$i} {
75% {
opacity: 0.1;
}
100% {
opacity: 1;
transform: translateX(math.cos(11.25deg * $i) * 110px)
translateY(math.sin(11.25deg * $i) * 110px);
}
}
}
}
+82
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@use 'sass:math';
/**
* Talking status
*/
#voice-energy-container.talking {
.voice-neon {
margin: 0;
}
#purple-neon-blur {
animation: talkingBouncePurpleNeonBlur 1s infinite alternate;
}
#pink-neon-1 {
transform: scale(1);
animation: talkingBouncePinkNeon1 0.5s 1s infinite alternate;
}
#blue-neon-1 {
transform: scale(0.8);
animation: talkingMoveBlueNeon1 0.5s infinite alternate;
}
#blue-neon-2 {
transform: scale(0.9);
animation: talkingMoveBlueNeon2 0.5s 0.3s infinite alternate;
}
}
@keyframes talkingBouncePurpleNeonBlur {
50% {
transform: scale(1.07);
}
100% {
transform: scale(1);
}
}
@keyframes talkingBouncePinkNeon1 {
100% {
transform: scale(1.1);
}
}
@keyframes talkingMoveBlueNeon1 {
100% {
transform: scale(0.9);
}
}
@keyframes talkingMoveBlueNeon2 {
100% {
transform: scale(1);
}
}
.talking .voice-particle {
opacity: 0;
animation-duration: 2s;
}
@for $i from 0 through 31 {
.talking .voice-particle[data-particle='#{$i}'] {
animation-delay: #{$i * 0.2}s;
// animation-duration: #{$i * 0.5}s;
}
.talking .voice-particle[data-particle='#{$i}'] {
animation-name: talkingMoveParticle#{$i};
}
#voice-energy-container.talking {
@keyframes talkingMoveParticle#{$i} {
0% {
opacity: 1;
transform: translate(0);
}
50% {
opacity: 0;
}
100% {
opacity: 0;
transform: translateX(math.cos(math.random() * 360deg))
translateY(math.sin(math.random() * 360deg));
}
}
}
}
@@ -0,0 +1 @@
export * from './timer'
@@ -0,0 +1 @@
export * from './timer'
@@ -0,0 +1,71 @@
import { useState, useEffect } from 'react'
import { CircularProgress, Flexbox, Text } from '@aurora'
interface TimerProps {
initialTime: number
interval: number
totalTimeContent: string
initialProgress?: number
onEnd?: () => void
}
function formatTime(seconds: number): string {
const minutes = seconds >= 60 ? Math.floor(seconds / 60) : 0
const remainingSeconds = seconds % 60
const formattedMinutes = minutes < 10 ? `0${minutes}` : minutes
const formattedSeconds =
remainingSeconds < 10 ? `0${remainingSeconds}` : remainingSeconds
return `${formattedMinutes}:${formattedSeconds}`
}
export function Timer({
initialTime,
initialProgress,
interval,
totalTimeContent,
onEnd
}: TimerProps) {
const [progress, setProgress] = useState(initialProgress || 0)
const [timeLeft, setTimeLeft] = useState(initialTime)
useEffect(() => {
setTimeLeft(initialTime)
setProgress(progress)
}, [initialTime])
useEffect(() => {
if (timeLeft <= 0) {
return
}
const timer = setInterval(() => {
setTimeLeft((prevTime) => {
const newTime = prevTime - 1
if (newTime <= 0 && onEnd) {
onEnd()
}
return newTime
})
setProgress((prevProgress) => prevProgress + 100 / initialTime)
}, interval)
return () => clearInterval(timer)
}, [initialTime, interval, timeLeft])
return (
<CircularProgress value={progress} size="lg">
<Flexbox gap="xs" alignItems="center" justifyContent="center">
<Text fontSize="lg" fontWeight="semi-bold">
{formatTime(timeLeft)}
</Text>
<Text fontSize="xs" secondary>
{totalTimeContent}
</Text>
</Flexbox>
</CircularProgress>
)
}
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+18
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<?xml version="1.0" encoding="UTF-8"?>
<svg viewBox="0 0 331 344" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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<title>logo</title>
<desc>Created with Sketch.</desc>
<g id="Page-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
<g id="Logo">
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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8" />
<link rel="icon" type="image/png" href="/img/favicon.png" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Leon</title>
<style>
@import './css/style.scss';
</style>
</head>
<body class="settingup">
<div id="init"></div>
<div id="voice-overlay-bg">
<div id="voice-container">
<div>
<div id="voice-energy-container">
<svg
class="voice-neon"
id="pink-neon-1"
viewBox="0 0 237 237"
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
<g filter="url(#filter0_i_6_16)">
<circle
cx="118.5"
cy="118.5"
r="113.5"
stroke="#FFF"
stroke-width="10"
/>
</g>
<defs>
<filter
id="filter0_i_6_16"
x="0"
y="0"
width="237"
height="237"
filterUnits="userSpaceOnUse"
color-interpolation-filters="sRGB"
>
<feFlood flood-opacity="0" result="BackgroundImageFix" />
<feBlend
mode="normal"
in="SourceGraphic"
in2="BackgroundImageFix"
result="shape"
/>
<feColorMatrix
in="SourceAlpha"
type="matrix"
values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 127 0"
result="hardAlpha"
/>
<feMorphology
radius="1"
operator="erode"
in="SourceAlpha"
result="effect1_innerShadow_6_16"
/>
<feOffset />
<feGaussianBlur stdDeviation="1" />
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in2="hardAlpha"
operator="arithmetic"
k2="-1"
k3="1"
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type="matrix"
values="0 0 0 0 0.929412 0 0 0 0 0.160784 0 0 0 0 0.478431 0 0 0 1 0"
/>
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mode="normal"
in2="shape"
result="effect1_innerShadow_6_16"
/>
</filter>
</defs>
</svg>
<svg
class="voice-neon"
id="blue-neon-1"
viewBox="0 0 237 237"
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
<g filter="url(#filter0_i_6_24)">
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cx="118.5"
cy="118.5"
r="116.5"
stroke="#FFF"
stroke-width="4"
/>
</g>
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id="filter0_i_6_24"
x="0"
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width="237"
height="237"
filterUnits="userSpaceOnUse"
color-interpolation-filters="sRGB"
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<feFlood flood-opacity="0" result="BackgroundImageFix" />
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mode="normal"
in="SourceGraphic"
in2="BackgroundImageFix"
result="shape"
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type="matrix"
values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 127 0"
result="hardAlpha"
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radius="1"
operator="erode"
in="SourceAlpha"
result="effect1_innerShadow_6_24"
/>
<feOffset />
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class="voice-neon"
id="blue-neon-2"
viewBox="0 0 237 237"
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
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stroke-width="4"
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result="effect1_innerShadow_6_24"
/>
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mode="normal"
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result="effect1_innerShadow_6_24"
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</defs>
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<svg
id="purple-neon-blur"
viewBox="0 0 341 341"
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
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cx="170.5"
cy="170.5"
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stroke="#ED297A"
stroke-width="24"
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cy="170.5"
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stroke-width="24"
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result="effect1_foregroundBlur_18_61"
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filterUnits="userSpaceOnUse"
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mode="normal"
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result="shape"
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stdDeviation="21"
result="effect1_foregroundBlur_18_61"
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</filter>
</defs>
</svg>
</div>
<div id="voice-status"></div>
<div id="voice-tips">
It is recommended to use a headset for a better voice experience.
<br />
Otherwise, if your microphone is too sensitive or speakers are too
loud,
<br />
Leon may hear his own voice and get confused.
</div>
</div>
<p id="voice-speech"></p>
</div>
</div>
<aside id="sessions-panel" aria-label="Sessions">
<div id="sessions-header">
<div>
<span id="sessions-eyebrow">Sessions</span>
</div>
<button id="new-session" type="button" aria-label="New session">
<i class="ri-add-line"></i>
</button>
</div>
<div id="sessions-list"></div>
</aside>
<main>
<div id="top-container">
<div id="mood"></div>
<button id="info">Info</button>
</div>
<div id="feed">
<p id="no-bubble" class="hide">
You can start to interact with me, don't be shy.
</p>
</div>
<div id="is-typing">
<div class="circle"></div>
<div class="circle"></div>
<div class="circle"></div>
</div>
<div id="input-container">
<div id="mic-container">
<button id="mic-button"></button>
<div id="sonar"></div>
</div>
<label for="utterance"></label>
<textarea id="utterance" autocomplete="off" autofocus></textarea>
<ul id="tip">
<li><kbd>enter</kbd> to submit.</li>
<li><kbd>shift</kbd> + <kbd>enter</kbd> for new line.</li>
<li>
<kbd>shift</kbd> + <kbd></kbd> / <kbd></kbd> to browse history.
</li>
<li><kbd>alt</kbd> / <kbd>cmd</kbd> + <kbd>c</kbd> to listen.</li>
<li><kbd>/</kbd> for commands.</li>
<li><kbd>@</kbd> for files.</li>
</ul>
</div>
</main>
<footer id="footer">
<div id="logo-container">
<div id="logo"></div>
<div>
<small>Leon AI</small>
<div id="version">
<small>v</small>
</div>
</div>
</div>
<div id="discord-container">
<div>
<small>
<a href="https://discord.gg/MNQqqKg" target="_blank"
>Join us on Discord</a
>
</small>
</div>
</div>
</footer>
<script type="module" src="/js/main.js"></script>
</body>
</html>
+7
View File
@@ -0,0 +1,7 @@
import axios from 'axios'
export async function requestBuiltInCommand(serverUrl, payload) {
const response = await axios.post(`${serverUrl}/api/v1/command`, payload)
return response.data
}
@@ -0,0 +1,750 @@
import { createRef } from 'react'
import { createRoot } from 'react-dom/client'
import { requestBuiltInCommand } from './api'
import { BuiltInCommandsModal } from './modal'
import FileSystemAutocomplete from '../file-system-autocomplete'
const AUTOCOMPLETE_DELAY_MS = 90
const CLOSE_ANIMATION_DURATION_MS = 180
const ROOT_COMMAND_INPUT = '/'
const EDITABLE_ACTION_KEYS = new Set(['Backspace', 'Delete'])
const NAVIGATION_DIRECTIONS = {
next: 1,
previous: -1
}
function isEditableElement(element) {
if (!element) {
return false
}
const tagName = element.tagName?.toLowerCase()
return (
tagName === 'input' ||
tagName === 'textarea' ||
element.isContentEditable === true
)
}
export default class BuiltInCommands {
constructor({
serverUrl,
input,
onSubmitToChat,
getActiveSessionId,
onCommandExecuted
}) {
this.serverUrl = serverUrl
this.input = input
this.onSubmitToChat = onSubmitToChat
this.getActiveSessionId = getActiveSessionId
this.onCommandExecuted = onCommandExecuted
this.sessionId = null
this.origin = 'shortcut'
this.commandValue = ''
this.selectedSuggestionIndex = -1
this.suggestions = []
this.recentSuggestions = []
this.result = null
this.loadingMessage = null
this.pendingInput = null
this.isOpen = false
this.isClosing = false
this.isLoading = false
this.hasSubmitted = false
this.autocompleteTimeout = null
this.closeTimeout = null
this.shouldFocusInput = false
this.modalInputRef = createRef()
this.fileSystemAutocomplete = new FileSystemAutocomplete({
serverUrl,
onValueChange: (value) => {
this.handleCommandChange(value)
}
})
}
init() {
this.mount()
this.attachEvents()
this.render()
}
mount() {
this.container = document.createElement('div')
document.body.appendChild(this.container)
this.root = createRoot(this.container)
}
attachEvents() {
document.addEventListener('keydown', (event) => {
this.handleDocumentKeyDown(event)
})
this.input.addEventListener('input', () => {
this.handleMainInput()
})
this.input.addEventListener('focus', () => {
this.handleMainInput()
})
}
render() {
const focusedInputElement = this.modalInputRef.current
const shouldRestoreCommandInputFocus =
focusedInputElement && document.activeElement === focusedInputElement
const selectionStart = shouldRestoreCommandInputFocus
? focusedInputElement.selectionStart
: null
const selectionEnd = shouldRestoreCommandInputFocus
? focusedInputElement.selectionEnd
: null
const { recentSelectedSuggestionIndex, suggestionSelectedSuggestionIndex } =
this.getSelectedSuggestionIndices()
this.root.render(
<BuiltInCommandsModal
isOpen={this.isOpen}
isVisible={this.isOpen || this.isClosing}
isLoading={this.isLoading}
loadingMessage={this.loadingMessage}
commandValue={this.commandValue}
suggestions={this.suggestions}
recentSuggestions={this.recentSuggestions}
recentSelectedSuggestionIndex={recentSelectedSuggestionIndex}
suggestionSelectedSuggestionIndex={suggestionSelectedSuggestionIndex}
result={this.result}
pendingInput={this.pendingInput}
hasSubmitted={this.hasSubmitted}
inputRef={this.modalInputRef}
onCommandChange={(value) => {
this.handleCommandChange(value)
}}
onMaskClick={() => {
this.close()
}}
onSuggestionSelect={(suggestion) => {
this.handleSuggestionSelect(suggestion)
}}
onReturn={() => {
this.returnToSuggestions()
}}
/>
)
if (this.shouldFocusInput) {
this.shouldFocusInput = false
window.requestAnimationFrame(() => {
this.focusCommandInput()
})
} else if (shouldRestoreCommandInputFocus) {
window.requestAnimationFrame(() => {
this.restoreCommandInputFocus(selectionStart, selectionEnd)
})
}
if (
this.isOpen &&
!this.hasSubmitted &&
!this.result &&
this.selectedSuggestionIndex >= 0
) {
window.requestAnimationFrame(() => {
this.scrollSelectedSuggestionIntoView()
})
}
window.requestAnimationFrame(() => {
this.attachFileSystemAutocomplete()
})
}
attachFileSystemAutocomplete() {
const inputElement = this.modalInputRef.current
if (!inputElement) {
return
}
this.fileSystemAutocomplete.attach(inputElement)
}
handleDocumentKeyDown(event) {
if (this.isOpen) {
if (event.metaKey || event.ctrlKey || event.altKey) {
return
}
if (event.key === 'Escape') {
event.preventDefault()
this.close()
return
}
if (event.key === 'ArrowDown') {
event.preventDefault()
this.blurCommandInput()
this.moveSelection(NAVIGATION_DIRECTIONS.next)
return
}
if (event.key === 'ArrowUp') {
event.preventDefault()
this.blurCommandInput()
this.moveSelection(NAVIGATION_DIRECTIONS.previous)
return
}
if (event.key === 'Tab') {
const suggestion =
this.selectedSuggestionIndex >= 0
? this.getVisibleSuggestions()[this.selectedSuggestionIndex]
: null
if (suggestion) {
event.preventDefault()
this.applySuggestion(suggestion, {
appendTrailingSpace: true
})
}
return
}
if (event.key === 'Enter' && !event.shiftKey) {
event.preventDefault()
if (this.selectedSuggestionIndex >= 0) {
const suggestion =
this.getVisibleSuggestions()[this.selectedSuggestionIndex]
if (suggestion) {
this.applySuggestion(suggestion)
void this.submit()
return
}
}
this.submit()
return
}
if (this.shouldHandleDetachedInputKey(event)) {
event.preventDefault()
this.handleDetachedInputKey(event)
return
}
return
}
if (
event.key !== '/' ||
event.metaKey ||
event.ctrlKey ||
event.altKey ||
event.shiftKey
) {
return
}
const activeElement = document.activeElement
if (
activeElement === this.input ||
(activeElement && isEditableElement(activeElement))
) {
return
}
event.preventDefault()
this.open({
origin: 'shortcut',
rawInput: '/'
})
}
handleMainInput() {
if (document.activeElement !== this.input) {
return
}
const rawValue = this.input.value || ''
if (!rawValue.startsWith('/')) {
return
}
this.open({
origin: 'input',
rawInput: rawValue
})
}
handleCommandChange(value) {
this.commandValue = value
this.hasSubmitted = false
if (!this.pendingInput) {
this.result = null
this.loadingMessage = null
this.queueAutocomplete()
}
this.render()
}
open({ origin, rawInput }) {
window.clearTimeout(this.closeTimeout)
if (this.isOpen) {
this.origin = origin
this.commandValue = this.normalizeCommandValue(rawInput)
this.result = null
this.loadingMessage = null
this.pendingInput = null
this.hasSubmitted = false
this.shouldFocusInput = true
this.input.value = ''
this.queueAutocomplete()
this.render()
return
}
this.origin = origin
this.sessionId = null
this.commandValue = this.normalizeCommandValue(rawInput)
this.suggestions = []
this.result = null
this.loadingMessage = null
this.pendingInput = null
this.selectedSuggestionIndex = -1
this.hasSubmitted = false
this.isOpen = true
this.isClosing = false
this.shouldFocusInput = true
this.input.value = ''
if (this.origin === 'input') {
this.input.blur()
}
this.queueAutocomplete()
this.render()
}
close() {
if (!this.isOpen || this.isClosing) {
return
}
this.isClosing = true
this.isOpen = false
this.fileSystemAutocomplete.close()
this.render()
this.closeTimeout = window.setTimeout(() => {
this.resetState()
this.render()
this.focusMainInput()
}, CLOSE_ANIMATION_DURATION_MS)
}
queueAutocomplete() {
window.clearTimeout(this.autocompleteTimeout)
this.isLoading = true
this.autocompleteTimeout = window.setTimeout(() => {
void this.fetchAutocomplete()
}, AUTOCOMPLETE_DELAY_MS)
}
async fetchAutocomplete() {
try {
const data = await requestBuiltInCommand(this.serverUrl, {
mode: 'autocomplete',
input: this.buildCommandInput(),
session_id: this.sessionId,
conversation_session_id: this.getActiveSessionId?.()
})
if (!this.isOpen || this.hasSubmitted) {
return
}
this.sessionId = data.session.id
this.suggestions = data.suggestions || []
this.recentSuggestions = data.recent_suggestions || []
this.loadingMessage = data.session.loading_message || null
this.pendingInput = data.session.pending_input || null
this.selectedSuggestionIndex =
this.getVisibleSuggestions().length > 0 ? 0 : -1
this.isLoading = false
this.render()
} catch (error) {
if (!this.isOpen || this.hasSubmitted) {
return
}
this.isLoading = false
this.result = {
title: 'Command Error',
tone: 'error',
blocks: [
{
type: 'list',
items: [
{
label: error.message || 'Failed to load built-in commands.',
tone: 'error'
}
]
}
]
}
this.loadingMessage = null
this.render()
}
}
async submit() {
const commandInput = this.buildCommandInput()
if (commandInput === ROOT_COMMAND_INPUT) {
return
}
window.clearTimeout(this.autocompleteTimeout)
this.autocompleteTimeout = null
await this.resolveLoadingMessageForSubmission(commandInput)
this.isLoading = true
this.hasSubmitted = true
this.result = null
this.commandValue = ''
this.suggestions = []
this.selectedSuggestionIndex = -1
this.render()
try {
const data = await requestBuiltInCommand(this.serverUrl, {
mode: 'execute',
input: commandInput,
session_id: this.sessionId,
conversation_session_id: this.getActiveSessionId?.()
})
if (data.client_action?.type === 'submit_to_chat') {
const wasSubmitted = this.onSubmitToChat?.(data.client_action)
if (!wasSubmitted) {
throw new Error('Failed to submit the built-in command to chat.')
}
this.isLoading = false
this.close()
return
}
this.sessionId = data.session.id
this.isLoading = false
this.result = data.result
this.onCommandExecuted?.(commandInput, data)
this.loadingMessage = data.session.loading_message || null
this.recentSuggestions = data.recent_suggestions || []
this.pendingInput = data.session.pending_input || null
this.commandValue = ''
this.render()
} catch (error) {
this.isLoading = false
this.result = {
title: 'Command Error',
tone: 'error',
blocks: [
{
type: 'list',
items: [
{
label:
error.message || 'Failed to execute the built-in command.',
tone: 'error'
}
]
}
]
}
this.loadingMessage = null
this.render()
}
}
async resolveLoadingMessageForSubmission(commandInput) {
try {
const data = await requestBuiltInCommand(this.serverUrl, {
mode: 'autocomplete',
input: commandInput,
session_id: this.sessionId,
conversation_session_id: this.getActiveSessionId?.()
})
this.sessionId = data.session.id
this.loadingMessage = data.session.loading_message || null
} catch {
this.loadingMessage = null
}
}
moveSelection(direction) {
if (this.hasSubmitted || this.result) {
return
}
const visibleSuggestions = this.getVisibleSuggestions()
if (visibleSuggestions.length === 0) {
return
}
if (this.selectedSuggestionIndex === -1) {
this.selectedSuggestionIndex = 0
} else {
this.selectedSuggestionIndex =
(this.selectedSuggestionIndex +
direction +
visibleSuggestions.length) %
visibleSuggestions.length
}
this.render()
}
handleSuggestionSelect(suggestion) {
const normalizedSuggestionValue = this.normalizeCommandValue(suggestion.value)
if (normalizedSuggestionValue.trim() === this.commandValue.trim()) {
void this.submit()
return
}
this.applySuggestion(suggestion, {
appendTrailingSpace: true
})
}
applySuggestion(suggestion, options = {}) {
this.commandValue = `${this.normalizeCommandValue(suggestion.value)}${
options.appendTrailingSpace ? ' ' : ''
}`
this.loadingMessage = null
this.queueAutocomplete()
this.shouldFocusInput = true
this.render()
}
returnToSuggestions() {
this.sessionId = null
this.hasSubmitted = false
this.result = null
this.loadingMessage = null
this.pendingInput = null
this.commandValue = ''
this.suggestions = []
this.selectedSuggestionIndex = -1
this.shouldFocusInput = true
this.queueAutocomplete()
this.render()
}
focusCommandInput() {
const inputElement = this.modalInputRef.current
if (!inputElement) {
return
}
inputElement.focus()
if (typeof inputElement.setSelectionRange === 'function') {
inputElement.setSelectionRange(
inputElement.value.length,
inputElement.value.length
)
}
}
restoreCommandInputFocus(selectionStart, selectionEnd) {
const inputElement = this.modalInputRef.current
if (!inputElement) {
return
}
if (document.activeElement !== inputElement) {
try {
inputElement.focus({ preventScroll: true })
} catch {
inputElement.focus()
}
}
if (
typeof inputElement.setSelectionRange === 'function' &&
selectionStart !== null &&
selectionEnd !== null
) {
inputElement.setSelectionRange(selectionStart, selectionEnd)
}
}
blurCommandInput() {
const inputElement = this.modalInputRef.current
if (!inputElement || document.activeElement !== inputElement) {
return
}
inputElement.blur()
}
focusMainInput() {
if (!this.input) {
return
}
window.requestAnimationFrame(() => {
try {
this.input.focus({ preventScroll: true })
} catch {
this.input.focus()
}
if (typeof this.input.setSelectionRange === 'function') {
this.input.setSelectionRange(
this.input.value.length,
this.input.value.length
)
}
})
}
scrollSelectedSuggestionIntoView() {
const selectedSuggestionElement = this.container?.querySelector(
'.aurora-list-item--selected'
)
if (!selectedSuggestionElement) {
return
}
selectedSuggestionElement.scrollIntoView({
block: 'nearest'
})
}
shouldHandleDetachedInputKey(event) {
const inputElement = this.modalInputRef.current
if (!inputElement || document.activeElement === inputElement) {
return false
}
return (
event.key.length === 1 ||
EDITABLE_ACTION_KEYS.has(event.key)
)
}
handleDetachedInputKey(event) {
if (event.key.length === 1) {
this.commandValue += event.key
} else if (event.key === 'Backspace') {
this.commandValue = this.commandValue.slice(0, -1)
} else if (event.key === 'Delete') {
this.commandValue = ''
}
this.hasSubmitted = false
this.result = null
this.loadingMessage = null
this.queueAutocomplete()
this.shouldFocusInput = true
this.render()
}
normalizeCommandValue(rawInput) {
const normalizedValue = String(rawInput || '').trim()
if (!normalizedValue.startsWith('/')) {
return normalizedValue
}
return normalizedValue.slice(1)
}
buildCommandInput() {
if (this.pendingInput) {
return this.commandValue
}
return `/${this.commandValue}`.trim()
}
getVisibleSuggestions() {
if (this.commandValue.trim() === '') {
return [...this.recentSuggestions, ...this.suggestions]
}
return this.suggestions
}
getSelectedSuggestionIndices() {
if (this.commandValue.trim() !== '') {
return {
recentSelectedSuggestionIndex: -1,
suggestionSelectedSuggestionIndex: this.selectedSuggestionIndex
}
}
const recentSuggestionsLength = this.recentSuggestions.length
if (this.selectedSuggestionIndex < 0) {
return {
recentSelectedSuggestionIndex: -1,
suggestionSelectedSuggestionIndex: -1
}
}
if (this.selectedSuggestionIndex < recentSuggestionsLength) {
return {
recentSelectedSuggestionIndex: this.selectedSuggestionIndex,
suggestionSelectedSuggestionIndex: -1
}
}
return {
recentSelectedSuggestionIndex: -1,
suggestionSelectedSuggestionIndex:
this.selectedSuggestionIndex - recentSuggestionsLength
}
}
resetState() {
window.clearTimeout(this.autocompleteTimeout)
this.isClosing = false
this.isLoading = false
this.sessionId = null
this.origin = 'shortcut'
this.commandValue = ''
this.suggestions = []
this.result = null
this.loadingMessage = null
this.pendingInput = null
this.selectedSuggestionIndex = -1
this.hasSubmitted = false
this.shouldFocusInput = false
this.autocompleteTimeout = null
}
}
+3
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@@ -0,0 +1,3 @@
import '../../css/built-in-commands.scss'
export { default as BuiltInCommands } from './built-in-commands.jsx'
+263
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@@ -0,0 +1,263 @@
import {
Button,
Flexbox,
Icon,
Input,
List,
ListHeader,
ListItem,
Loader,
ScrollContainer,
Text
} from '@aurora'
import { BuiltInCommandResultRenderer } from './result-renderer'
const SLASH_COMMAND_ICON_SVG = (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 24 24"
fill="currentColor"
>
<path d="M9.78839 21H7.66003L14.2115 3H16.3398L9.78839 21Z" />
</svg>
)
function parseRemixIcon(rawIconName, rawIconType) {
const fallbackIcon = {
iconName: 'terminal-box',
type: 'line'
}
const normalizedIconName = String(rawIconName || '').trim()
const normalizedIconType = ['line', 'fill', 'notype'].includes(rawIconType)
? rawIconType
: null
if (!normalizedIconName) {
return fallbackIcon
}
const iconWithoutPrefix = normalizedIconName.replace(/^ri-/, '')
if (iconWithoutPrefix.endsWith('-line')) {
return {
iconName: iconWithoutPrefix.slice(0, -5),
type: 'line'
}
}
if (iconWithoutPrefix.endsWith('-fill')) {
return {
iconName: iconWithoutPrefix.slice(0, -5),
type: 'fill'
}
}
return {
iconName: iconWithoutPrefix,
type: normalizedIconType || 'notype'
}
}
function SuggestionList({
headerTitle,
suggestions,
selectedSuggestionIndex,
onSuggestionSelect
}) {
return (
<List>
<ListHeader>{headerTitle}</ListHeader>
{suggestions.map((suggestion, index) => {
const parsedIcon = parseRemixIcon(
suggestion.icon_name,
suggestion.icon_type
)
return (
<ListItem
key={`suggestion-${suggestion.value}-${index}`}
name="built-in-command-suggestion"
value={suggestion.value}
selected={index === selectedSuggestionIndex}
onClick={() => {
onSuggestionSelect(suggestion)
}}
>
<Flexbox flexDirection="row" alignItems="center" gap="md">
<Icon
iconName={parsedIcon.iconName}
type={parsedIcon.type}
size="md"
bgShape="square"
color="blue"
bgColor="transparent-blue"
/>
<div className="built-in-commands-modal__suggestion-copy">
<Text fontWeight="semi-bold">{suggestion.usage}</Text>
<Text secondary>{suggestion.description}</Text>
</div>
</Flexbox>
</ListItem>
)
})}
</List>
)
}
function LoadingState({ loadingMessage }) {
return (
<List>
<ListHeader>Working</ListHeader>
<ListItem>
<Flexbox flexDirection="row" alignItems="center" gap="sm">
<Loader size="sm" />
<Text>{loadingMessage || 'Working on it...'}</Text>
</Flexbox>
</ListItem>
</List>
)
}
function EmptyState() {
return (
<List>
<ListHeader>Suggestions</ListHeader>
<ListItem>
<Text secondary>No matching built-in command.</Text>
</ListItem>
</List>
)
}
export function BuiltInCommandsModal({
isOpen,
isVisible,
isLoading,
loadingMessage,
commandValue,
suggestions,
recentSuggestions,
recentSelectedSuggestionIndex,
suggestionSelectedSuggestionIndex,
result,
pendingInput,
hasSubmitted,
inputRef,
onCommandChange,
onMaskClick,
onSuggestionSelect,
onReturn
}) {
const isCommandInputEmpty = commandValue.trim() === ''
const pendingInputIcon = pendingInput?.icon_name
? parseRemixIcon(pendingInput.icon_name, pendingInput.icon_type)
: null
return (
<div
className={`built-in-commands-modal ${
isOpen
? 'built-in-commands-modal--open'
: isVisible
? ''
: 'built-in-commands-modal--hidden'
}`}
aria-hidden={!isVisible}
>
<div className="built-in-commands-modal__mask" onClick={onMaskClick} />
<div
className="built-in-commands-modal__panel"
role="dialog"
aria-modal="true"
aria-label="Built-in commands"
onClick={(event) => {
event.stopPropagation()
}}
>
<div className="built-in-commands-modal__section built-in-commands-modal__section--top">
<Flexbox flexDirection="row" alignItems="center" gap="md">
{hasSubmitted && result ? (
<div className="built-in-commands-modal__return-button">
<Button
light
iconName="arrow-left-double"
iconSize="lg"
onClick={() => {
onReturn()
}}
/>
</div>
) : null}
<div className="built-in-commands-modal__input-field">
<Input
name="built-in-commands"
type={pendingInput?.type || 'text'}
placeholder={
pendingInput?.placeholder || 'Type a built-in command'
}
maxLength={2_048}
iconName={pendingInputIcon?.iconName}
iconType={pendingInputIcon ? pendingInputIcon.type : undefined}
iconSVG={pendingInput ? undefined : SLASH_COMMAND_ICON_SVG}
iconSize="lg"
value={commandValue}
autofocus={isOpen}
inputRef={inputRef}
onChange={onCommandChange}
/>
</div>
</Flexbox>
</div>
<div className="built-in-commands-modal__section built-in-commands-modal__section--middle">
<div className="built-in-commands-modal__scroll-area">
<ScrollContainer orientation="vertical" height="100%">
{isLoading ? (
<LoadingState loadingMessage={loadingMessage} />
) : result ? (
<BuiltInCommandResultRenderer result={result} />
) : suggestions.length > 0 ? (
<Flexbox gap="md">
{isCommandInputEmpty && recentSuggestions.length > 0 ? (
<SuggestionList
headerTitle="Recently Used Commands"
suggestions={recentSuggestions}
selectedSuggestionIndex={recentSelectedSuggestionIndex}
onSuggestionSelect={onSuggestionSelect}
/>
) : null}
<SuggestionList
headerTitle={
isCommandInputEmpty ? 'All Commands' : 'Suggested Commands'
}
suggestions={suggestions}
selectedSuggestionIndex={suggestionSelectedSuggestionIndex}
onSuggestionSelect={onSuggestionSelect}
/>
</Flexbox>
) : (
<EmptyState />
)}
</ScrollContainer>
</div>
</div>
<div className="built-in-commands-modal__section built-in-commands-modal__section--bottom">
<Flexbox flexDirection="row" gap="md">
<Text fontSize="xs" secondary>
<kbd></kbd> <kbd></kbd> navigate
</Text>
<Text fontSize="xs" secondary>
<kbd>tab</kbd> complete
</Text>
<Text fontSize="xs" secondary>
<kbd>enter</kbd> submit
</Text>
<Text fontSize="xs" secondary>
<kbd>esc</kbd> close
</Text>
</Flexbox>
</div>
</div>
</div>
)
}
@@ -0,0 +1,145 @@
import {
Flexbox,
Icon,
Link,
List,
ListHeader,
ListItem,
Text
} from '@aurora'
function InlineLabel({ item }) {
if (item.inline_link_label && item.inline_link_href) {
return (
<Text>
{item.label}{' '}
<Link href={item.inline_link_href} fontSize="md">
{item.inline_link_label}
</Link>.
</Text>
)
}
return <Text>{item.label}</Text>
}
function ToneListItem({ item }) {
if (item.tone === 'success') {
return (
<ListItem>
<Flexbox flexDirection="row" alignItems="center" gap="sm">
<Icon
iconName="check"
size="sm"
type="fill"
bgShape="circle"
color="green"
bgColor="transparent-green"
/>
<InlineLabel item={item} />
</Flexbox>
</ListItem>
)
}
if (item.tone === 'warning') {
return (
<ListItem>
<Flexbox flexDirection="row" alignItems="center" gap="sm">
<Icon
iconName="alert"
size="sm"
type="fill"
bgShape="circle"
color="yellow"
bgColor="transparent-yellow"
/>
<InlineLabel item={item} />
</Flexbox>
</ListItem>
)
}
if (item.tone === 'error') {
return (
<ListItem>
<Flexbox flexDirection="row" alignItems="center" gap="sm">
<Icon
iconName="close"
size="sm"
type="fill"
bgShape="circle"
color="red"
bgColor="transparent-red"
/>
<InlineLabel item={item} />
</Flexbox>
</ListItem>
)
}
if (item.value || item.description) {
return (
<ListItem>
<div className="built-in-commands-modal__result-item">
<div className="built-in-commands-modal__result-copy">
<Text fontWeight="semi-bold">{item.label}</Text>
{item.description ? <Text secondary>{item.description}</Text> : null}
</div>
{item.value ? (
<div className="built-in-commands-modal__result-value">
{item.href ? (
<Link href={item.href} fontSize="md">
{item.value}
</Link>
) : (
<Text secondary textAlign="right">
{item.value}
</Text>
)}
</div>
) : null}
</div>
</ListItem>
)
}
if (item.inline_link_label && item.inline_link_href) {
return (
<ListItem>
<InlineLabel item={item} />
</ListItem>
)
}
return (
<ListItem>
<InlineLabel item={item} />
</ListItem>
)
}
export function BuiltInCommandResultRenderer({ result }) {
const blocks = Array.isArray(result?.blocks) ? result.blocks : []
return (
<Flexbox flexDirection="column" gap="sm">
{blocks.map((block, index) => {
if (block.type !== 'list') {
return null
}
const header = block.header || (index === 0 ? result.title : '')
return (
<List key={`result-block-${index}`}>
{header ? <ListHeader>{header}</ListHeader> : null}
{block.items.map((item, itemIndex) => (
<ToneListItem item={item} key={`result-item-${itemIndex}`} />
))}
</List>
)
})}
</Flexbox>
)
}
+957
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@@ -0,0 +1,957 @@
import { createElement } from 'react'
import { createRoot } from 'react-dom/client'
import axios from 'axios'
import { WidgetWrapper, Flexbox, Loader, Text } from '@aurora'
import renderAuroraComponent from './render-aurora-component'
import ToolUIHandler from './tool-ui-handler'
const WIDGETS_TO_FETCH = []
const WIDGETS_FETCH_CACHE = new Map()
const REPLACED_MESSAGES = new Set()
const AUTO_SCROLL_BOTTOM_THRESHOLD_PX = 24
const MAXIMUM_BUBBLES_IN_MEMORY = 62
const MAXIMUM_WIDGET_FETCH_CONCURRENCY = 4
const SECONDS_PER_MINUTE = 60
function escapeHTML(value) {
return String(value || '')
.replace(/&/g, '&amp;')
.replace(/</g, '&lt;')
.replace(/>/g, '&gt;')
.replace(/"/g, '&quot;')
.replace(/'/g, '&#39;')
}
export default class Chatbot {
constructor(socket, serverURL, sessionId = null) {
this.socket = socket
this.serverURL = serverURL
this.sessionId = sessionId
this.et = new EventTarget()
this.feed = document.querySelector('#feed')
this.typing = document.querySelector('#is-typing')
this.noBubbleMessage = document.querySelector('#no-bubble')
this.parsedBubbles = []
this.reasoningBlocks = new Map()
this.feedAutoScrollEnabled = true
this.isProgrammaticFeedScroll = false
this.widgetHydrationPromise = null
// Initialize tool UI handler
this.toolUIHandler = new ToolUIHandler(
this.feed,
this.scrollDown.bind(this),
this.formatMessage.bind(this)
)
}
async init() {
await this.loadFeed()
this.scrollDown()
this.et.addEventListener('to-leon', (event) => {
this.createBubble({
who: 'me',
string: event.detail.string,
sentAt: event.detail.sentAt
})
})
this.et.addEventListener('me-received', (event) => {
this.createBubble({
who: 'leon',
string: event.detail
})
})
// Add event delegation for clickable paths
this.feed.addEventListener('click', (event) => {
if (event.target.classList.contains('clickable-path')) {
const path = event.target.getAttribute('data-path')
if (path) {
this.openPath(path)
}
}
})
this.feed.addEventListener(
'scroll',
() => {
this.handleFeedScroll()
},
{ passive: true }
)
}
sendTo(who, string, sentAt = Date.now()) {
if (who === 'leon') {
this.et.dispatchEvent(
new CustomEvent('to-leon', {
detail: {
string,
sentAt
}
})
)
}
}
receivedFrom(who, string) {
if (who === 'leon') {
this.et.dispatchEvent(new CustomEvent('me-received', { detail: string }))
}
}
isTyping(who, value) {
if (who === 'leon') {
if (value) {
this.enableTyping()
} else if (value === false) {
this.disableTyping()
}
}
}
enableTyping() {
if (!this.typing.classList.contains('on')) {
this.typing.classList.add('on')
}
}
disableTyping() {
if (this.typing.classList.contains('on')) {
this.typing.classList.remove('on')
}
}
isElementNearBottom(element) {
if (!element) {
return true
}
const remainingScrollableDistance =
element.scrollHeight - (element.scrollTop + element.clientHeight)
return remainingScrollableDistance <= AUTO_SCROLL_BOTTOM_THRESHOLD_PX
}
handleFeedScroll() {
if (!this.feed || this.isProgrammaticFeedScroll) {
return
}
this.feedAutoScrollEnabled = this.isElementNearBottom(this.feed)
}
scrollDown(options = {}) {
if (!this.feed) {
return
}
const { force = false } = options
if (!force && !this.feedAutoScrollEnabled) {
return
}
this.isProgrammaticFeedScroll = true
this.feed.scrollTo(0, this.feed.scrollHeight)
requestAnimationFrame(() => {
this.isProgrammaticFeedScroll = false
this.feedAutoScrollEnabled = this.isElementNearBottom(this.feed)
})
}
scrollReasoningContentToBottom(reasoningBlock) {
if (!reasoningBlock?.content || !reasoningBlock.isAutoScrollEnabled) {
return
}
reasoningBlock.isProgrammaticScroll = true
reasoningBlock.content.scrollTop = reasoningBlock.content.scrollHeight
requestAnimationFrame(() => {
reasoningBlock.isProgrammaticScroll = false
reasoningBlock.isAutoScrollEnabled = this.isElementNearBottom(
reasoningBlock.content
)
})
}
getWidgetPayload(formattedString) {
if (
typeof formattedString !== 'string' ||
!formattedString.includes('"component":"WidgetWrapper"')
) {
return null
}
try {
return JSON.parse(formattedString)
} catch {
return null
}
}
getPlanWidgetInsertionPoint(widgetPayload) {
if (!widgetPayload || widgetPayload.widget !== 'PlanWidget') {
return null
}
// Always append new plan widgets as new bubbles.
// Widget updates are handled via replaceMessageId targeting the same
// messageId, so insertion-point heuristics are unnecessary and can cause
// visual reuse across turns.
return null
}
isPlanWidgetData(data) {
return Boolean(data && typeof data === 'object' && data.widget === 'PlanWidget')
}
isSystemWidgetData(data) {
return Boolean(
data &&
typeof data === 'object' &&
data.historyMode &&
data.historyMode === 'system_widget'
)
}
getTimelineItemWeight(item) {
if (item.who === 'owner') {
return 0
}
if (item.source === 'system_widget') {
return 1
}
return 2
}
async hydrateFetchedWidgets() {
if (this.widgetHydrationPromise) {
return this.widgetHydrationPromise
}
const widgetContainers = [...WIDGETS_TO_FETCH].reverse()
WIDGETS_TO_FETCH.length = 0
if (widgetContainers.length === 0) {
return Promise.resolve()
}
const hydrateWidgetContainer = async (widgetContainer) => {
const hasWidgetBeenFetched = WIDGETS_FETCH_CACHE.has(
widgetContainer.widgetId
)
if (hasWidgetBeenFetched) {
const fetchedWidget = WIDGETS_FETCH_CACHE.get(widgetContainer.widgetId)
widgetContainer.reactRootNode.render(fetchedWidget.reactNode)
setTimeout(() => {
this.scrollDown()
}, 100)
return
}
const data = await axios.get(
`${this.serverURL}/api/v1/fetch-widget?skill_action=${widgetContainer.onFetch.actionName}&widget_id=${widgetContainer.widgetId}${this.sessionId ? `&session_id=${encodeURIComponent(this.sessionId)}` : ''}`
)
const fetchedWidget = data.data.widget
const reactNode = fetchedWidget
? renderAuroraComponent(
this.socket,
fetchedWidget.componentTree,
fetchedWidget.supportedEvents
)
: createElement(WidgetWrapper, {
children: createElement(Flexbox, {
alignItems: 'center',
justifyContent: 'center',
children: createElement(Text, {
secondary: true,
children: 'This widget has been deleted.'
})
})
})
widgetContainer.reactRootNode.render(reactNode)
WIDGETS_FETCH_CACHE.set(widgetContainer.widgetId, {
...fetchedWidget,
reactNode
})
setTimeout(() => {
this.scrollDown()
}, 100)
}
const workerCount = Math.min(
MAXIMUM_WIDGET_FETCH_CONCURRENCY,
widgetContainers.length
)
let currentIndex = 0
this.widgetHydrationPromise = Promise.all(
Array.from({ length: workerCount }, async () => {
while (currentIndex < widgetContainers.length) {
const widgetContainer = widgetContainers[currentIndex]
currentIndex += 1
if (!widgetContainer) {
continue
}
await hydrateWidgetContainer(widgetContainer)
}
})
)
.catch((error) => {
console.error('Failed to hydrate fetched widgets:', error)
})
.finally(() => {
this.widgetHydrationPromise = null
})
return this.widgetHydrationPromise
}
setSessionId(sessionId) {
this.sessionId = sessionId
}
resetFeed() {
WIDGETS_TO_FETCH.length = 0
this.feed.innerHTML = ''
this.noBubbleMessage = document.createElement('p')
this.noBubbleMessage.id = 'no-bubble'
this.noBubbleMessage.className = 'hide'
this.noBubbleMessage.textContent =
'You can start to interact with me, don\'t be shy.'
this.feed.appendChild(this.noBubbleMessage)
this.parsedBubbles = []
this.reasoningBlocks.clear()
this.feedAutoScrollEnabled = true
}
async loadFeed() {
WIDGETS_TO_FETCH.length = 0
this.resetFeed()
const sessionQuery = this.sessionId
? `&session_id=${encodeURIComponent(this.sessionId)}`
: ''
const [historyResponse, systemWidgetsResponse] = await Promise.all([
axios.get(
`${this.serverURL}/api/v1/conversation-history?supports_widgets=true${sessionQuery}`
),
axios.get(
`${this.serverURL}/api/v1/system-widgets?supports_widgets=true${sessionQuery}`
)
])
const history = Array.isArray(historyResponse.data?.history)
? historyResponse.data.history
: []
const systemWidgets = Array.isArray(systemWidgetsResponse.data?.widgets)
? systemWidgetsResponse.data.widgets
: []
const timelineItems = [...history, ...systemWidgets]
.map((item, index) => ({
...item,
sortIndex: index
}))
.sort((left, right) => {
if (left.sentAt !== right.sentAt) {
return left.sentAt - right.sentAt
}
const leftWeight = this.getTimelineItemWeight(left)
const rightWeight = this.getTimelineItemWeight(right)
if (leftWeight !== rightWeight) {
return leftWeight - rightWeight
}
return left.sortIndex - right.sortIndex
})
this.parsedBubbles = history
if (timelineItems.length === 0) {
this.noBubbleMessage.classList.remove('hide')
return
}
for (let i = 0; i < timelineItems.length; i += 1) {
const bubble = timelineItems[i]
if (
bubble.originalString &&
ToolUIHandler.isToolOutputMarker(bubble.originalString)
) {
continue
}
this.createBubble({
who: bubble.who === 'owner' ? 'me' : bubble.who,
string: bubble.originalString ? bubble.originalString : bubble.string,
metrics: bubble.llmMetrics || null,
sentAt: bubble.sentAt,
save: false,
isCreatingFromLoadingFeed: true,
messageId: bubble.messageId
})
}
void this.hydrateFetchedWidgets()
}
createBubble(params) {
const {
who,
string,
metrics = null,
save = true,
bubbleId,
isCreatingFromLoadingFeed = false,
messageId,
sentAt = null,
beforeElement = null
} = params
const container = document.createElement('div')
const bubble = document.createElement('p')
if (!this.noBubbleMessage.classList.contains('hide')) {
this.noBubbleMessage.classList.add('hide')
}
container.className = `bubble-container ${who}`
bubble.className = 'bubble'
if (messageId) {
container.setAttribute('data-message-id', messageId)
}
// Store original string before formatting
const originalString = string
const formattedString = this.formatMessage(string)
const widgetPayload = this.getWidgetPayload(formattedString)
const autoPlanInsertionPoint = this.getPlanWidgetInsertionPoint(widgetPayload)
const resolvedBeforeElement = beforeElement || autoPlanInsertionPoint
bubble.innerHTML = formattedString
if (bubbleId) {
container.classList.add(bubbleId)
}
if (resolvedBeforeElement && resolvedBeforeElement.parentNode === this.feed) {
this.feed.insertBefore(container, resolvedBeforeElement)
} else {
this.feed.appendChild(container)
}
container.appendChild(bubble)
if (who === 'leon' && metrics) {
container.appendChild(this.createMetricsElement(metrics, sentAt))
} else if (who === 'me') {
const timestampElement = this.createTimestampElement(sentAt)
if (timestampElement) {
container.appendChild(timestampElement)
}
}
let widgetComponentTree = null
let widgetSupportedEvents = null
/**
* Widget rendering
*/
if (
formattedString.includes &&
formattedString.includes('"component":"WidgetWrapper"')
) {
const parsedWidget = widgetPayload || JSON.parse(formattedString)
container.setAttribute('data-widget-id', parsedWidget.id)
/**
* On widget fetching, render the loader
*/
if (isCreatingFromLoadingFeed && parsedWidget.onFetch) {
const root = createRoot(container)
root.render(
createElement(WidgetWrapper, {
children: createElement(Flexbox, {
alignItems: 'center',
justifyContent: 'center',
children: createElement(Loader)
})
})
)
WIDGETS_TO_FETCH.push({
reactRootNode: root,
widgetId: parsedWidget.id,
onFetch: parsedWidget.onFetch
})
return container
}
widgetComponentTree = parsedWidget.componentTree
widgetSupportedEvents = parsedWidget.supportedEvents
/**
* On widget creation
*/
const root = createRoot(container)
const reactNode = renderAuroraComponent(
this.socket,
widgetComponentTree,
widgetSupportedEvents
)
root.render(reactNode)
}
if (save) {
this.saveBubble(who, originalString, formattedString, messageId, metrics, sentAt)
}
return container
}
formatReasoningPhaseTitle(phase) {
const normalizedPhase =
typeof phase === 'string' && phase.trim()
? phase.replaceAll('_', ' ').toUpperCase()
: 'EXECUTION'
return `REASONING - ${normalizedPhase}`
}
createOrUpdateReasoningBlock(generationId, token, phase) {
if (!generationId || !token) {
return null
}
if (!this.noBubbleMessage.classList.contains('hide')) {
this.noBubbleMessage.classList.add('hide')
}
let reasoningBlock = this.reasoningBlocks.get(generationId)
if (!reasoningBlock) {
const container = document.createElement('div')
const block = document.createElement('div')
const header = document.createElement('div')
const icon = document.createElement('i')
const title = document.createElement('span')
const content = document.createElement('div')
container.className = 'reasoning-block-container leon'
container.setAttribute('data-reasoning-id', generationId)
block.className = 'reasoning-block'
header.className = 'reasoning-header'
icon.className = 'ri-brain-ai-3-line reasoning-icon'
title.className = 'reasoning-title'
title.textContent = this.formatReasoningPhaseTitle(phase)
content.className = 'reasoning-content'
header.appendChild(icon)
header.appendChild(title)
block.appendChild(header)
block.appendChild(content)
container.appendChild(block)
this.feed.appendChild(container)
reasoningBlock = {
container,
content,
text: '',
isAutoScrollEnabled: true,
isProgrammaticScroll: false
}
content.addEventListener(
'scroll',
() => {
if (reasoningBlock.isProgrammaticScroll) {
return
}
reasoningBlock.isAutoScrollEnabled = this.isElementNearBottom(content)
},
{ passive: true }
)
this.reasoningBlocks.set(generationId, reasoningBlock)
}
reasoningBlock.text += token
reasoningBlock.content.textContent = reasoningBlock.text
this.scrollReasoningContentToBottom(reasoningBlock)
return reasoningBlock.container
}
handleToolOutput(data) {
const result = this.toolUIHandler.handleToolOutput(data)
// Save in memory if it's a new group
if (result && result.isNewGroup) {
const { toolkitName, toolName, answer } = data
const toolInfo = this.toolUIHandler.getToolGroupInfo(
result.groupId,
toolkitName,
toolName,
answer
)
this.saveBubble(
'leon',
toolInfo.originalString,
toolInfo.formattedMessage,
toolInfo.messageId
)
}
}
saveBubble(
who,
originalString,
string,
messageId,
metrics = null,
sentAt = null
) {
if (!this.noBubbleMessage.classList.contains('hide')) {
this.noBubbleMessage.classList.add('hide')
}
if (this.parsedBubbles.length === MAXIMUM_BUBBLES_IN_MEMORY) {
this.parsedBubbles.shift()
}
// Store both original and formatted strings
this.parsedBubbles.push({
who,
sentAt,
string,
originalString,
messageId,
llmMetrics: metrics
})
this.scrollDown()
}
formatMessage(message) {
const isWidget =
message.includes && message.includes('"component":"WidgetWrapper"')
if (typeof message === 'string' && !isWidget) {
message = escapeHTML(message)
message = message.replace(/\n/g, '<br />')
// Handle HTTP/HTTPS URLs with simple regex
message = message.replace(/https?:\/\/[^\s<>"{}|\\^`[\]]+/gi, (match) => {
return `<a href="${match}" target="_blank" rel="noopener noreferrer" class="clickable-url" title="Open URL in browser">${match}</a>`
})
// Handle file paths with delimiters for exact matching
message = message.replace(
/\[FILE_PATH\](.*?)\[\/FILE_PATH\]/g,
(match, filePath) => {
return `<span class="clickable-path" data-path="${filePath}" title="Open in file explorer">${filePath}</span>`
}
)
}
return message
}
formatMetricTimestamp(sentAt) {
if (typeof sentAt !== 'number' || !Number.isFinite(sentAt)) {
return ''
}
const date = new Date(sentAt)
const now = new Date()
if (Number.isNaN(date.getTime()) || Number.isNaN(now.getTime())) {
return ''
}
const timeFormatter = new Intl.DateTimeFormat(undefined, {
hour: '2-digit',
minute: '2-digit',
hour12: false
})
const formattedTime = timeFormatter.format(date)
const startOfToday = new Date(
now.getFullYear(),
now.getMonth(),
now.getDate()
)
const startOfTargetDay = new Date(
date.getFullYear(),
date.getMonth(),
date.getDate()
)
const dayDifference = Math.round(
(startOfToday.getTime() - startOfTargetDay.getTime()) / 86_400_000
)
if (dayDifference === 0) {
return `Today, ${formattedTime}`
}
if (dayDifference === 1) {
return `Yesterday, ${formattedTime}`
}
if (dayDifference > 1 && dayDifference < 7) {
const weekdayFormatter = new Intl.DateTimeFormat(undefined, {
weekday: 'long'
})
return `${weekdayFormatter.format(date)}, ${formattedTime}`
}
const monthDayFormatter = new Intl.DateTimeFormat(undefined, {
month: 'short',
day: 'numeric'
})
return `${monthDayFormatter.format(date)}, ${formattedTime}`
}
formatFullMetricTimestamp(sentAt) {
if (typeof sentAt !== 'number' || !Number.isFinite(sentAt)) {
return ''
}
const date = new Date(sentAt)
if (Number.isNaN(date.getTime())) {
return ''
}
const year = date.getFullYear()
const month = String(date.getMonth() + 1).padStart(2, '0')
const day = String(date.getDate()).padStart(2, '0')
const hours = String(date.getHours()).padStart(2, '0')
const minutes = String(date.getMinutes()).padStart(2, '0')
const seconds = String(date.getSeconds()).padStart(2, '0')
return `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`
}
formatTimestampMarkup(sentAt) {
const formattedTimestamp = this.formatMetricTimestamp(sentAt)
const fullFormattedTimestamp = this.formatFullMetricTimestamp(sentAt)
if (!formattedTimestamp) {
return ''
}
return `
<span class="bubble-metric-item">
<i class="ri-time-line" aria-hidden="true"></i>
<span title="${fullFormattedTimestamp || formattedTimestamp}">${formattedTimestamp}</span>
</span>
`.trim()
}
formatTurnDuration(durationMs) {
const durationSeconds = Number(durationMs || 0) / 1_000
const roundedDurationSeconds = Math.max(0, Number(durationSeconds.toFixed(1)))
if (roundedDurationSeconds < SECONDS_PER_MINUTE) {
return `${roundedDurationSeconds.toFixed(1)}s`
}
const minutes = Math.floor(roundedDurationSeconds / SECONDS_PER_MINUTE)
const seconds = roundedDurationSeconds % SECONDS_PER_MINUTE
return `${minutes}m${seconds.toFixed(1)}s`
}
formatMetrics(metrics, sentAt = null) {
if (!metrics) {
return ''
}
const inputTokens = Number(metrics.inputTokens || 0)
const outputTokens = Number(metrics.outputTokens || 0)
const totalTokens = Number(metrics.totalTokens || inputTokens + outputTokens)
const turnDuration = this.formatTurnDuration(metrics.durationMs)
const tokensPerSecond = Number(
metrics.tokensPerSecond || metrics.averagedPhaseTokensPerSecond || 0
)
const tokenFormatter = new Intl.NumberFormat()
const timestampMarkup = this.formatTimestampMarkup(sentAt)
return `
<span class="bubble-metric-item">
<i class="ri-copper-coin-line" aria-hidden="true"></i>
<span>${tokenFormatter.format(totalTokens)} (i:${tokenFormatter.format(inputTokens)}/o:${tokenFormatter.format(outputTokens)}) tok</span>
</span>
<span class="bubble-metric-item">
<i class="ri-timer-flash-line" aria-hidden="true"></i>
<span>${turnDuration}</span>
</span>
<span class="bubble-metric-item">
<i class="ri-flashlight-line" aria-hidden="true"></i>
<span>${tokensPerSecond.toFixed(2)} t/s</span>
</span>
${timestampMarkup}
`.trim()
}
createMetricsElement(metrics, sentAt = null) {
const metricsElement = document.createElement('div')
metricsElement.className = 'bubble-metrics'
metricsElement.innerHTML = this.formatMetrics(metrics, sentAt)
return metricsElement
}
createTimestampElement(sentAt) {
const timestampMarkup = this.formatTimestampMarkup(sentAt)
if (!timestampMarkup) {
return null
}
const timestampElement = document.createElement('div')
timestampElement.className = 'bubble-metrics'
timestampElement.innerHTML = timestampMarkup
return timestampElement
}
updateBubbleMetrics(container, metrics, sentAt = null) {
if (!container) {
return
}
const existingMetricsElement = container.querySelector('.bubble-metrics')
if (!metrics) {
if (existingMetricsElement) {
existingMetricsElement.remove()
}
return
}
if (existingMetricsElement) {
existingMetricsElement.innerHTML = this.formatMetrics(metrics, sentAt)
return
}
container.appendChild(this.createMetricsElement(metrics, sentAt))
}
getLatestReasoningContainer() {
const reasoningContainers = this.feed.querySelectorAll(
'.reasoning-block-container'
)
if (reasoningContainers.length === 0) {
return null
}
return reasoningContainers[reasoningContainers.length - 1] || null
}
replaceMessage(replaceMessageId, newData) {
const existingBubble = document.querySelector(
`[data-message-id="${replaceMessageId}"]`
)
const isPlanWidget = this.isPlanWidgetData(newData)
const nextSibling = existingBubble ? existingBubble.nextSibling : null
if (existingBubble) {
existingBubble.remove()
const bubbleIndex = this.parsedBubbles.findIndex(
(bubble) => bubble.messageId === replaceMessageId
)
if (bubbleIndex !== -1) {
this.parsedBubbles.splice(bubbleIndex, 1)
}
}
const isTextAnswerPayload = Boolean(
newData &&
typeof newData === 'object' &&
typeof newData.answer === 'string' &&
!newData.widget &&
!newData.componentTree
)
const bubbleString = isTextAnswerPayload
? newData.answer
: typeof newData === 'string'
? newData
: JSON.stringify(newData)
const metrics =
isTextAnswerPayload && newData.llmMetrics ? newData.llmMetrics : null
const shouldSaveMessage = !this.isSystemWidgetData(newData)
const beforeElement = isPlanWidget ? null : nextSibling
this.createBubble({
who: 'leon',
string: bubbleString,
save: shouldSaveMessage,
messageId: replaceMessageId,
beforeElement,
metrics,
sentAt:
newData && typeof newData === 'object' && typeof newData.sentAt === 'number'
? newData.sentAt
: Date.now()
})
/**
* Only scroll down on the first replacement of this message
* to avoid repeating scrolling for every message replacement
*/
if (!REPLACED_MESSAGES.has(replaceMessageId)) {
REPLACED_MESSAGES.add(replaceMessageId)
this.scrollDown()
}
}
openPath(filePath) {
// Send request to server to open the file path in system file explorer
fetch(`${this.serverURL}/api/v1/open-path`, {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify({ path: filePath })
})
.then((response) => response.json())
.then((data) => {
if (!data.success) {
console.error('Failed to open path:', data.error)
}
})
.catch((error) => {
console.error('Error opening path:', error)
})
}
}
+651
View File
@@ -0,0 +1,651 @@
import { io } from 'socket.io-client'
import Chatbot from './chatbot'
import VoiceEnergy from './voice-energy'
import { ASR_DISABLED_MESSAGE, INIT_MESSAGES } from './constants'
import handleSuggestions from './suggestion-handler.js'
const LEON_CLIENT_INTERFACE_PROTOCOL_VERSION = 1
const LEON_EVENTS = {
init: 'leon:init',
utterance: 'leon:utterance',
ready: 'leon:ready',
answer: 'leon:answer',
isTyping: 'leon:is-typing',
suggest: 'leon:suggest',
llmToken: 'leon:llm-token',
llmReasoningToken: 'leon:llm-reasoning-token',
ownerUtterance: 'leon:owner-utterance',
error: 'leon:error'
}
export default class Client {
constructor(client, serverUrl, input, options = {}) {
this.client = client
this._input = input
this.voiceSpeechElement = document.querySelector('#voice-speech')
this.serverUrl = serverUrl
this.socket = io(this.serverUrl)
this.activeSessionId = options.activeSessionId || null
this.history = localStorage.getItem('history')
this.parsedHistory = []
this.chatbot = new Chatbot(this.socket, this.serverUrl, this.activeSessionId)
this.voiceEnergy = new VoiceEnergy(this)
this._recorder = {}
this._suggestions = []
this._answerGenerationId = 'xxx'
this._activeStreamGenerationId = null
this._ttsAudioContext = null
this._isLeonGeneratingAnswer = false
this._isVoiceModeEnabled = false
this._hasSentInitMessages = false
this._chatbotInitPromise = null
// this._ttsAudioContextes = {}
}
set input(newInput) {
if (typeof newInput !== 'undefined') {
this._input.value = newInput
}
}
get input() {
return this._input
}
set recorder(recorder) {
this._recorder = recorder
}
get recorder() {
return this._recorder
}
updateMood(mood) {
const moodContainer = document.querySelector('#mood')
if (!moodContainer || !mood?.emoji || !mood?.type) {
return
}
moodContainer.textContent = `Leon's mood: ${mood.emoji}`
moodContainer.setAttribute('title', mood.type)
}
setSessionPanel(sessionPanel) {
this.sessionPanel = sessionPanel
}
async setActiveSession(sessionId) {
if (!sessionId || sessionId === this.activeSessionId) {
return
}
this.activeSessionId = sessionId
this.chatbot.setSessionId(sessionId)
this.socket.emit('session-change', sessionId)
await this.chatbot.loadFeed()
this.chatbot.scrollDown({ force: true })
}
async sendInitMessages() {
for (let i = 0; i < INIT_MESSAGES.length; i++) {
const messages = INIT_MESSAGES[i]
const message = messages[Math.floor(Math.random() * messages.length)]
const sendingDelay = Math.floor(Math.random() * 2000) + 1000
const typingFactorDelay = Math.floor(Math.random() * 4) + 2
setTimeout(() => {
this.chatbot.isTyping('leon', true)
}, sendingDelay / typingFactorDelay)
await new Promise((resolve) => setTimeout(resolve, sendingDelay))
this.chatbot.receivedFrom('leon', message)
this.chatbot.isTyping('leon', false)
}
}
setInitStatus(statusName, statusType) {
window.leonInitStatusEvent.dispatchEvent(
new CustomEvent('initStatusChange', {
detail: {
statusName,
statusType
}
})
)
}
waitForInitUICompletion() {
if (this._hasSentInitMessages || this.chatbot.parsedBubbles?.length > 0) {
return
}
const trySendInitMessages = () => {
const initializedInitElement = document.querySelector('#init .initialized')
if (!initializedInitElement) {
return false
}
this._hasSentInitMessages = true
this.sendInitMessages()
return true
}
if (trySendInitMessages()) {
return
}
const interval = setInterval(() => {
if (trySendInitMessages()) {
clearInterval(interval)
}
}, 100)
}
asrStartRecording() {
if (!window.leonConfigInfo.asr.enabled) {
alert(ASR_DISABLED_MESSAGE)
return
}
if (!this._isVoiceModeEnabled) {
this.enableVoiceMode()
this.voiceEnergy.status = 'listening'
this.socket.emit('asr-start-record')
}
}
init() {
this._chatbotInitPromise = this.chatbot.init()
this.voiceEnergy.init()
if (window.leonConfigInfo?.tcpServer?.enabled === false) {
this.setInitStatus('tcpServerBoot', 'success')
}
this.socket.on('connect', () => {
this.socket.emit(LEON_EVENTS.init, {
protocolVersion: LEON_CLIENT_INTERFACE_PROTOCOL_VERSION,
client: {
id: this.client,
type: 'web_app',
name: 'Leon Web App'
},
sessionId: this.activeSessionId,
capabilities: {
supportsWidgets: true,
supportsTokenStreaming: true,
supportsVoice: true
}
})
})
/**
* Init status listeners
*/
this.socket.on('init-llama-server-boot', (status) => {
this.setInitStatus('llamaServerBoot', status)
})
this.socket.on(LEON_EVENTS.ready, () => {
this.setInitStatus('clientCoreServerHandshake', 'success')
this.setInitStatus('tcpServerBoot', 'success')
void this._chatbotInitPromise?.then(() => {
setTimeout(() => {
const body = document.querySelector('body')
body.classList.remove('settingup')
}, 250)
this.waitForInitUICompletion()
})
})
this.socket.on(LEON_EVENTS.answer, (data) => {
/*if (this._isVoiceModeEnabled) {
this.voiceEnergy.status = 'listening'
}*/
// Leon has finished to answer
this._isLeonGeneratingAnswer = false
const isPlanWidget =
data && typeof data === 'object' && data.widget === 'PlanWidget'
if (isPlanWidget) {
this.chatbot.isTyping('leon', false)
}
/**
* Handle message replacement if replaceMessageId is provided
*/
if (data.replaceMessageId) {
this.chatbot.replaceMessage(data.replaceMessageId, data)
return
}
/**
* Handle tool output messages
*/
if (data.isToolOutput) {
this.chatbot.handleToolOutput(data)
return
}
/**
* Handle widget data directly
*/
if (data.widget || data.componentTree) {
const isSystemWidget = this.chatbot.isSystemWidgetData(data)
// Pass the entire widget data as JSON string for chatbot.js to handle
const widgetString =
typeof data === 'string' ? data : JSON.stringify(data)
this.chatbot.createBubble({
who: 'leon',
string: widgetString,
save: !isSystemWidget,
messageId: data.widget?.id || data.id || `msg-${Date.now()}`
})
return
}
const answerText = typeof data === 'string' ? data : data.answer
const llmMetrics =
data && typeof data === 'object' && data.llmMetrics
? data.llmMetrics
: null
/**
* Just save the bubble if the newest bubble is from the streaming.
* Otherwise, create a new bubble
*/
const streamGenerationId =
this._activeStreamGenerationId || this._answerGenerationId
const streamedBubbleContainerElement = streamGenerationId
? document.querySelector(
`.bubble-container.leon.${streamGenerationId}`
)
: null
const isBubbleFromStreaming = Boolean(streamedBubbleContainerElement)
if (isBubbleFromStreaming && streamedBubbleContainerElement) {
this.chatbot.saveBubble(
'leon',
answerText,
answerText,
null,
llmMetrics,
data && typeof data === 'object' && typeof data.sentAt === 'number'
? data.sentAt
: Date.now()
)
// Slightly delay the update to avoid the stream animation to be interrupted
setTimeout(() => {
// Update the text of the bubble (quick emoji fix)
streamedBubbleContainerElement.querySelector('p.bubble').innerHTML =
this.chatbot.formatMessage(answerText)
this.chatbot.updateBubbleMetrics(
streamedBubbleContainerElement,
llmMetrics,
data && typeof data === 'object' && typeof data.sentAt === 'number'
? data.sentAt
: Date.now()
)
}, 2_500)
} else {
this.chatbot.createBubble({
who: 'leon',
string: answerText,
save:
!(
data &&
typeof data === 'object' &&
data.historyMode === 'system_widget'
),
metrics: llmMetrics,
messageId: data && typeof data === 'object' ? data.messageId : null,
sentAt:
data && typeof data === 'object' && typeof data.sentAt === 'number'
? data.sentAt
: Date.now()
})
}
this.chatbot.scrollDown({ force: true })
this._activeStreamGenerationId = null
this._answerGenerationId = 'xxx'
void this.sessionPanel?.refresh()
})
this.socket.on(LEON_EVENTS.suggest, (data) => {
setTimeout(() => {
handleSuggestions(data, this.chatbot, this)
}, 400)
setTimeout(() => {
this.chatbot.scrollDown()
}, 450)
/*data?.forEach((suggestionText) => {
this.addSuggestion(suggestionText)
})*/
})
this.socket.on(LEON_EVENTS.isTyping, (data) => {
this.chatbot.isTyping('leon', data)
})
this.socket.on(LEON_EVENTS.ownerUtterance, (data) => {
if (!data?.utterance) {
return
}
this.chatbot.createBubble({
who: 'me',
string: data.utterance,
messageId: data.messageId,
sentAt: typeof data.sentAt === 'number' ? data.sentAt : Date.now()
})
})
this.socket.on('recognized', (data, cb) => {
this._input.value = data
this.send('utterance')
cb('string-received')
})
this.socket.on('widget-send-utterance', (utterance) => {
this._input.value = utterance
this.send('utterance')
})
this.socket.on('new-mood', (mood) => {
this.updateMood(mood)
})
this.socket.on(LEON_EVENTS.llmToken, (data) => {
if (this._isVoiceModeEnabled) {
this.voiceEnergy.status = 'processing'
}
this._isLeonGeneratingAnswer = true
const previousGenerationId = this._answerGenerationId
const newGenerationId = data.generationId
this._answerGenerationId = newGenerationId
this._activeStreamGenerationId = newGenerationId
const isSameGeneration = previousGenerationId === newGenerationId
let bubbleContainerElement = null
if (!isSameGeneration) {
bubbleContainerElement = this.chatbot.createBubble({
who: 'leon',
string: data.token,
save: false,
bubbleId: newGenerationId
})
} else {
bubbleContainerElement = document.querySelector(
`.${previousGenerationId}`
)
}
const bubbleElement = bubbleContainerElement.querySelector('p.bubble')
// Token is already appened when it's a new generation
if (isSameGeneration) {
// bubbleElement.textContent += data.token
const tokenSpan = document.createElement('span')
tokenSpan.className = 'llm-token fade-in'
tokenSpan.textContent = data.token
bubbleElement.appendChild(tokenSpan)
}
this.chatbot.scrollDown()
})
this.socket.on(LEON_EVENTS.llmReasoningToken, (data) => {
if (!data?.generationId || !data?.token) {
return
}
if (this._isVoiceModeEnabled) {
this.voiceEnergy.status = 'processing'
}
this._isLeonGeneratingAnswer = true
this.chatbot.createOrUpdateReasoningBlock(
data.generationId,
data.token,
data.phase
)
this.chatbot.scrollDown()
})
this.socket.on('asr-speech', (text) => {
if (!this._isVoiceModeEnabled) {
this.enableVoiceMode()
}
this.voiceEnergy.status = 'listening'
this._input.value = text
if (this.voiceSpeechElement) {
this.voiceSpeechElement.textContent = text
}
})
this.socket.on('asr-end-of-owner-speech', () => {
this.voiceEnergy.status = 'processing'
setTimeout(() => {
this.send('utterance')
}, 200)
})
this.socket.on('asr-active-listening-disabled', () => {
this.voiceEnergy.status = 'idle'
})
/**
* Only used for "local" TTS provider as a PoC for now.
* Target to do a better implementation in the future
* with streaming support
*/
this.socket.on('tts-stream', (data) => {
this.voiceEnergy.status = 'talking'
// const { audioId, chunk } = data
const { chunk } = data
this._ttsAudioContext = new AudioContext()
// this._ttsAudioContextes[audioId] = ctx
const source = this._ttsAudioContext.createBufferSource()
this._ttsAudioContext.decodeAudioData(chunk, (buffer) => {
source.buffer = buffer
source.connect(this._ttsAudioContext.destination)
source.start(0)
})
})
/**
* When Leon got interrupted by the owner voice
* while he is speaking
*/
this.socket.on('tts-interruption', async () => {
if (this._ttsAudioContext) {
await this._ttsAudioContext.close()
}
})
this.socket.on('tts-end-of-speech', async () => {
this.voiceEnergy.status = 'listening'
if (window.leonConfigInfo?.asr?.enabled) {
this.socket.emit('asr-start-record')
}
})
this.socket.on('audio-forwarded', (data, cb) => {
const ctx = new AudioContext()
const source = ctx.createBufferSource()
ctx.decodeAudioData(data.buffer, (buffer) => {
source.buffer = buffer
source.connect(ctx.destination)
source.start(0)
/**
* When the after speech option is enabled and
* the answer is a final one
*/
if (window.leonConfigInfo.after_speech && data.is_final_answer) {
// Enable recording after the speech + 500ms
setTimeout(() => {
this._recorder.start()
this._recorder.enabled = true
// Check every second if the recorder is enabled to stop it
const id = setInterval(() => {
if (this._recorder.enabled) {
if (this._recorder.countSilenceAfterTalk <= 8) {
// Stop recording if there was no noise for 8 seconds
if (this._recorder.countSilenceAfterTalk === 8) {
this._recorder.stop()
this._recorder.enabled = false
this._recorder.countSilenceAfterTalk = 0
clearInterval(id)
} else if (!this._recorder.noiseDetected) {
this._recorder.countSilenceAfterTalk += 1
} else {
clearInterval(id)
}
}
}
}, 1_000)
}, data.duration + 500)
}
})
cb('audio-received')
})
this.socket.on(LEON_EVENTS.error, (data) => {
console.error('Leon client interface error:', data)
})
if (this.history !== null) {
this.parsedHistory = JSON.parse(this.history)
}
}
send(keyword) {
if (keyword === 'utterance') {
return this.sendUtterance(this._input.value)
}
return false
}
sendUtterance(value, options = {}) {
if (this._isLeonGeneratingAnswer) {
return false
}
const trimmedValue = String(value || '').trim()
if (trimmedValue === '') {
return false
}
const sentAt =
typeof options.sentAt === 'number' ? options.sentAt : Date.now()
this.socket.emit(LEON_EVENTS.utterance, {
value: trimmedValue,
sentAt,
sessionId: this.activeSessionId,
...(options.commandContext
? { commandContext: options.commandContext }
: {})
})
this.chatbot.sendTo('leon', trimmedValue, sentAt)
this.chatbot.scrollDown({ force: true })
this.save(trimmedValue)
return true
}
save(value = this._input.value) {
let val = value
if (localStorage.getItem('history') === null) {
localStorage.setItem('history', JSON.stringify([]))
this.parsedHistory = JSON.parse(localStorage.getItem('history'))
} else if (this.parsedHistory.length >= 32) {
this.parsedHistory.shift()
}
if (val[0] === ' ') {
val = val.substr(1, val.length - 1)
}
if (this.parsedHistory[this.parsedHistory.length - 1] !== val) {
this.parsedHistory.push(val)
localStorage.setItem('history', JSON.stringify(this.parsedHistory))
}
this._input.value = ''
setTimeout(() => {
// Remove the last character to avoid the space
this._input.value = this._input.value.slice(0, -1)
}, 0)
}
enableVoiceMode() {
if (!this._isVoiceModeEnabled) {
this._isVoiceModeEnabled = true
const body = document.querySelector('body')
if (!body.classList.contains('voice-mode-enabled')) {
body.classList.add('voice-mode-enabled')
const voiceOverlayTransitor = document.createElement('div')
voiceOverlayTransitor.id = 'voice-overlay-transitor'
body.appendChild(voiceOverlayTransitor)
voiceOverlayTransitor.addEventListener('animationend', () => {
voiceOverlayTransitor.removeEventListener('animationend', () => {})
voiceOverlayTransitor.remove()
})
}
}
}
disableVoiceMode() {
if (this._isVoiceModeEnabled) {
this._isVoiceModeEnabled = false
const body = document.querySelector('body')
const voiceContainer = document.querySelector('#voice-container')
if (voiceContainer) {
voiceContainer.style.animation = 'none'
voiceContainer.style.animation = null
}
if (body.classList.contains('voice-mode-enabled')) {
body.classList.remove('voice-mode-enabled')
}
}
}
}
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export const INIT_MESSAGES = [
[
'Hi, I\'m Leon, your open-source personal assistant. I\'m still evolving, but I\'m here to help.'
],
[
`Want to follow the project?
- Regular progress updates: https://x.com/grenlouis
- Blog posts: https://blog.getleon.ai/
- Email updates: https://leonai.substack.com/subscribe`
],
[
`Come hang out on Discord: https://discord.gg/MNQqqKg
That's where people will help shape the ecosystem and build what comes next.`
],
[
'Leon is built independently in spare time. If you want to help accelerate development, you can support the project here: http://sponsor.getleon.ai/'
]
]
export const ASR_DISABLED_MESSAGE =
'Voice mode is not enabled yet. Run /voice setup from the chat, wait for the resources to install, then restart Leon by using /restart.'
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import axios from 'axios'
const AUTOCOMPLETE_DELAY_MS = 80
const CLOSE_DELAY_MS = 120
const DROPDOWN_MARGIN_PX = 8
const MINIMUM_DROPDOWN_HEIGHT_PX = 196
const MAXIMUM_DROPDOWN_HEIGHT_PX = 280
const FILE_SYSTEM_TRIGGER = '@'
const FOLDER_TYPE = 'folder'
const DEFAULT_FILE_ICON_NAME = 'file-line'
const DEFAULT_FOLDER_ICON_NAME = 'folder-3-line'
const NAVIGATION_DIRECTIONS = {
next: 1,
previous: -1
}
function isWhitespace(character) {
return character.trim() === ''
}
function findPathToken(input) {
const selectionStart = input.selectionStart ?? input.value.length
let tokenStart = selectionStart
while (
tokenStart > 0 &&
!isWhitespace(input.value.charAt(tokenStart - 1))
) {
tokenStart -= 1
}
if (input.value.charAt(tokenStart) !== FILE_SYSTEM_TRIGGER) {
return null
}
return {
start: tokenStart,
end: selectionStart,
value: input.value.slice(tokenStart, selectionStart)
}
}
export default class FileSystemAutocomplete {
constructor({ serverUrl, input = null, onValueChange = null }) {
this.serverUrl = serverUrl
this.input = null
this.onValueChange = onValueChange
this.dropdown = document.createElement('div')
this.dropdown.className = 'file-system-autocomplete file-system-autocomplete--hidden'
this.entries = []
this.selectedEntryIndex = -1
this.token = null
this.isOpen = false
this.requestCounter = 0
this.autocompleteTimeout = null
this.closeTimeout = null
this.shouldScrollSelectedEntry = false
this.handleInput = this.handleInput.bind(this)
this.handleKeyDown = this.handleKeyDown.bind(this)
this.handleFocus = this.handleFocus.bind(this)
this.handleClick = this.handleClick.bind(this)
this.handleBlur = this.handleBlur.bind(this)
this.handleWindowChange = this.handleWindowChange.bind(this)
document.body.appendChild(this.dropdown)
if (input) {
this.attach(input)
}
}
attach(input) {
if (this.input === input) {
return
}
window.clearTimeout(this.closeTimeout)
if (this.input) {
this.removeInputListeners()
}
this.input = input
this.input.addEventListener('input', this.handleInput)
this.input.addEventListener('keydown', this.handleKeyDown)
this.input.addEventListener('focus', this.handleFocus)
this.input.addEventListener('click', this.handleClick)
this.input.addEventListener('blur', this.handleBlur)
window.addEventListener('resize', this.handleWindowChange)
window.addEventListener('scroll', this.handleWindowChange, true)
}
removeInputListeners() {
if (!this.input) {
return
}
this.input.removeEventListener('input', this.handleInput)
this.input.removeEventListener('keydown', this.handleKeyDown)
this.input.removeEventListener('focus', this.handleFocus)
this.input.removeEventListener('click', this.handleClick)
this.input.removeEventListener('blur', this.handleBlur)
window.removeEventListener('resize', this.handleWindowChange)
window.removeEventListener('scroll', this.handleWindowChange, true)
this.input = null
}
detach() {
this.removeInputListeners()
this.close()
}
handleInput() {
window.clearTimeout(this.closeTimeout)
this.queueAutocomplete()
}
handleFocus() {
window.clearTimeout(this.closeTimeout)
this.queueAutocomplete()
}
handleClick() {
this.queueAutocomplete()
}
handleBlur() {
this.queueClose()
}
queueClose() {
window.clearTimeout(this.closeTimeout)
this.closeTimeout = window.setTimeout(() => {
this.close()
}, CLOSE_DELAY_MS)
}
handleWindowChange() {
if (this.isOpen) {
this.positionDropdown()
}
}
handleKeyDown(event) {
if (!this.isOpen) {
return
}
if (event.key === 'Escape') {
event.preventDefault()
event.stopImmediatePropagation()
this.close()
return
}
if (event.key === 'ArrowDown') {
event.preventDefault()
event.stopImmediatePropagation()
this.moveSelection(NAVIGATION_DIRECTIONS.next)
return
}
if (event.key === 'ArrowUp') {
event.preventDefault()
event.stopImmediatePropagation()
this.moveSelection(NAVIGATION_DIRECTIONS.previous)
return
}
if (event.key === 'Tab' || event.key === 'Enter') {
const selectedEntry = this.entries[this.selectedEntryIndex]
if (selectedEntry) {
event.preventDefault()
event.stopImmediatePropagation()
this.applyEntry(selectedEntry)
}
}
}
queueAutocomplete() {
window.clearTimeout(this.autocompleteTimeout)
this.autocompleteTimeout = window.setTimeout(() => {
void this.fetchAutocomplete()
}, AUTOCOMPLETE_DELAY_MS)
}
async fetchAutocomplete() {
if (!this.input) {
this.close()
return
}
if (document.activeElement !== this.input) {
this.queueClose()
return
}
const token = findPathToken(this.input)
if (!token) {
this.close()
return
}
const requestId = this.requestCounter + 1
this.requestCounter = requestId
this.token = token
try {
const response = await axios.post(
`${this.serverUrl}/api/v1/file-system/list`,
{
value: token.value
}
)
if (requestId !== this.requestCounter) {
return
}
this.entries = response.data.entries || []
this.selectedEntryIndex = this.entries.length > 0 ? 0 : -1
this.render()
} catch {
if (requestId !== this.requestCounter) {
return
}
this.entries = []
this.selectedEntryIndex = -1
this.render()
}
}
render() {
if (!this.input || !this.token) {
this.close()
return
}
this.dropdown.innerHTML = ''
if (this.entries.length === 0) {
const emptyElement = document.createElement('div')
emptyElement.className = 'file-system-autocomplete__empty'
emptyElement.textContent = 'No matching file system entry.'
this.dropdown.appendChild(emptyElement)
} else {
this.entries.forEach((entry, index) => {
const item = document.createElement('button')
const icon = document.createElement('i')
const label = document.createElement('span')
item.type = 'button'
item.className = `file-system-autocomplete__item${
index === this.selectedEntryIndex
? ' file-system-autocomplete__item--selected'
: ''
}`
icon.className = `ri-${
entry.iconName ||
(entry.type === FOLDER_TYPE
? DEFAULT_FOLDER_ICON_NAME
: DEFAULT_FILE_ICON_NAME)
}`
label.className = 'file-system-autocomplete__label'
label.textContent = entry.value
item.addEventListener('mousedown', (event) => {
event.preventDefault()
})
item.addEventListener('click', () => {
this.applyEntry(entry)
})
item.appendChild(icon)
item.appendChild(label)
this.dropdown.appendChild(item)
})
}
this.isOpen = true
this.dropdown.classList.remove('file-system-autocomplete--hidden')
this.positionDropdown()
if (this.shouldScrollSelectedEntry) {
this.shouldScrollSelectedEntry = false
this.scrollSelectedEntryIntoView()
}
}
positionDropdown() {
const inputRect = this.input.getBoundingClientRect()
const spaceBelow = window.innerHeight - inputRect.bottom
const spaceAbove = inputRect.top
const shouldOpenAbove =
spaceBelow < MINIMUM_DROPDOWN_HEIGHT_PX && spaceAbove > spaceBelow
const availableHeight =
(shouldOpenAbove ? spaceAbove : spaceBelow) - DROPDOWN_MARGIN_PX * 2
const maxHeight = Math.min(
MAXIMUM_DROPDOWN_HEIGHT_PX,
Math.max(MINIMUM_DROPDOWN_HEIGHT_PX, availableHeight)
)
this.dropdown.style.left = `${inputRect.left}px`
this.dropdown.style.width = `${inputRect.width}px`
this.dropdown.style.maxHeight = `${maxHeight}px`
if (shouldOpenAbove) {
this.dropdown.style.top = ''
this.dropdown.style.bottom = `${
window.innerHeight - inputRect.top + DROPDOWN_MARGIN_PX
}px`
} else {
this.dropdown.style.top = `${inputRect.bottom + DROPDOWN_MARGIN_PX}px`
this.dropdown.style.bottom = ''
}
}
moveSelection(direction) {
if (this.entries.length === 0) {
return
}
this.selectedEntryIndex =
(this.selectedEntryIndex + direction + this.entries.length) %
this.entries.length
this.shouldScrollSelectedEntry = true
this.render()
}
scrollSelectedEntryIntoView() {
const selectedEntryElement = this.dropdown.querySelector(
'.file-system-autocomplete__item--selected'
)
if (!selectedEntryElement) {
return
}
selectedEntryElement.scrollIntoView({
block: 'nearest'
})
}
applyEntry(entry) {
if (!this.input || !this.token) {
return
}
const completedValue = entry.absolutePath || entry.value
const nextCharacter = this.input.value.charAt(this.token.end)
const shouldAddTrailingWhitespace =
nextCharacter === '' || !isWhitespace(nextCharacter)
const insertedValue = `${completedValue}${
shouldAddTrailingWhitespace ? ' ' : ''
}`
const nextValue = `${this.input.value.slice(0, this.token.start)}${
insertedValue
}${this.input.value.slice(this.token.end)}`
const nextCursorPosition = this.token.start + insertedValue.length
this.input.value = nextValue
this.input.setSelectionRange(nextCursorPosition, nextCursorPosition)
this.input.dispatchEvent(new Event('input', { bubbles: true }))
if (this.onValueChange) {
this.onValueChange(nextValue)
window.requestAnimationFrame(() => {
this.input?.setSelectionRange(nextCursorPosition, nextCursorPosition)
})
}
this.close()
}
close() {
this.isOpen = false
this.entries = []
this.selectedEntryIndex = -1
this.token = null
this.dropdown.classList.add('file-system-autocomplete--hidden')
}
}
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import { useEffect, useState, useRef } from 'react'
import { createRoot } from 'react-dom/client'
import {
WidgetWrapper,
Text,
Icon,
Flexbox,
List,
ListHeader,
ListItem,
Loader
} from '@aurora'
const container = document.querySelector('#init')
const root = createRoot(container)
const LLAMA_SERVER_BOOT_STATUS = 'llamaServerBoot'
const INIT_ERROR_STATUS = 'error'
const INIT_ERROR_DISMISS_SECONDS = 10
const INIT_ERROR_DISMISS_INTERVAL_MS = 1_000
function Item({ children, status }) {
if (status === 'error') {
return <ErrorListItem>{children}</ErrorListItem>
}
if (status === 'warning') {
return <WarningListItem>{children}</WarningListItem>
}
if (status === 'success') {
return <SuccessListItem>{children}</SuccessListItem>
}
if (status === 'loading') {
return <LoadingListItem>{children}</LoadingListItem>
}
return <ListItem>{children}</ListItem>
}
function LoadingListItem({ children }) {
return (
<ListItem>
<Flexbox flexDirection="row" alignItems="center" gap="sm">
<Loader size="sm" />
<Text>{children}</Text>
</Flexbox>
</ListItem>
)
}
function ErrorListItem({ children }) {
return (
<ListItem>
<Flexbox flexDirection="row" alignItems="center" gap="sm">
<Icon
iconName="close"
size="sm"
type="fill"
bgShape="circle"
color="red"
bgColor="transparent-red"
/>
<Text>{children}</Text>
</Flexbox>
</ListItem>
)
}
function WarningListItem({ children }) {
return (
<ListItem>
<Flexbox flexDirection="row" alignItems="center" gap="sm">
<Icon
iconName="alert"
size="sm"
type="fill"
bgShape="circle"
color="yellow"
bgColor="transparent-yellow"
/>
<Text>{children}</Text>
</Flexbox>
</ListItem>
)
}
function SuccessListItem({ children }) {
return (
<ListItem>
<Flexbox flexDirection="row" alignItems="center" gap="sm">
<Icon
iconName="check"
size="sm"
type="fill"
bgShape="circle"
color="green"
bgColor="transparent-green"
/>
<Text>{children}</Text>
</Flexbox>
</ListItem>
)
}
function Init() {
const parentRef = useRef(null)
const [config, setConfig] = useState(() => ({ ...window.leonConfigInfo }))
const usesLlamaCPP =
config.llm?.workflowProvider === 'llamacpp' ||
config.llm?.agentProvider === 'llamacpp'
const [initErrorCountdown, setInitErrorCountdown] = useState(null)
const [areInitErrorsDismissed, setAreInitErrorsDismissed] = useState(false)
const [statusMap, setStatusMap] = useState({
clientCoreServerHandshake: 'loading',
tcpServerBoot:
window.leonConfigInfo?.tcpServer?.enabled === false ? 'success' : 'loading',
[LLAMA_SERVER_BOOT_STATUS]:
window.leonConfigInfo?.llm?.workflowProvider === 'llamacpp' ||
window.leonConfigInfo?.llm?.agentProvider === 'llamacpp'
? 'loading'
: 'success'
})
const hasInitError = Object.values(statusMap).some(
(status) => status === INIT_ERROR_STATUS
)
useEffect(() => {
setTimeout(() => {
if (parentRef.current) {
parentRef.current.classList.remove('not-initialized')
}
}, 250)
function handleStatusChange(event) {
const { statusName, statusType } = event.detail
if (statusType === INIT_ERROR_STATUS) {
setAreInitErrorsDismissed(false)
}
setStatusMap((prev) => ({ ...prev, [statusName]: statusType }))
}
window.leonInitStatusEvent.addEventListener(
'initStatusChange',
handleStatusChange
)
return () =>
window.leonInitStatusEvent.removeEventListener(
'initStatusChange',
handleStatusChange
)
}, [])
useEffect(() => {
if (!hasInitError || areInitErrorsDismissed) {
setInitErrorCountdown(null)
return
}
let secondsLeft = INIT_ERROR_DISMISS_SECONDS
setInitErrorCountdown(secondsLeft)
const interval = setInterval(() => {
secondsLeft -= 1
setInitErrorCountdown(secondsLeft)
if (secondsLeft <= 0) {
clearInterval(interval)
setAreInitErrorsDismissed(true)
}
}, INIT_ERROR_DISMISS_INTERVAL_MS)
return () => clearInterval(interval)
}, [hasInitError, areInitErrorsDismissed])
const statuses = []
for (let key of Object.keys(statusMap)) {
if (key === 'tcpServerBoot' && config.tcpServer?.enabled === false) {
statuses.push('success')
} else if (statusMap[key] === INIT_ERROR_STATUS && areInitErrorsDismissed) {
statuses.push('success')
} else if (
key === LLAMA_SERVER_BOOT_STATUS &&
!usesLlamaCPP
) {
statuses.push('success')
} else {
statuses.push(statusMap[key])
}
}
const areAllStatusesSuccess = statuses.every((status) => status === 'success')
const getInitMessage = (status, defaultMessage) => {
if (status === INIT_ERROR_STATUS && initErrorCountdown !== null) {
return `An error occurred during the initialization. This message will disappear in ${initErrorCountdown} seconds`
}
return defaultMessage
}
useEffect(() => {
if (window.leonConfigInfo) {
setConfig({ ...window.leonConfigInfo })
}
}, [window.leonConfigInfo])
return (
<div
style={{
position: 'fixed',
width: '100vw',
height: '100vh',
zIndex: 9999,
backgroundColor: 'var(--black-color)'
}}
ref={parentRef}
className={areAllStatusesSuccess ? 'initialized' : 'not-initialized'}
>
<div
style={{
position: 'absolute',
top: '33%',
left: '50%',
transform: 'translate(-50%, -50%)'
}}
>
<WidgetWrapper noPadding>
<List>
<ListHeader>Leon is getting ready...</ListHeader>
<Item status={statusMap.clientCoreServerHandshake}>
{getInitMessage(
statusMap.clientCoreServerHandshake,
'Client and core server handshaked'
)}
</Item>
{config.tcpServer?.enabled !== false && (
<Item status={statusMap.tcpServerBoot}>
{getInitMessage(statusMap.tcpServerBoot, 'TCP server booted')}
</Item>
)}
{usesLlamaCPP && (
<Item status={statusMap[LLAMA_SERVER_BOOT_STATUS]}>
{getInitMessage(
statusMap[LLAMA_SERVER_BOOT_STATUS],
'llama-server booted'
)}
</Item>
)}
</List>
</WidgetWrapper>
</div>
</div>
)
}
root.render(<Init />)
+44
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const listener = {}
listener.listening = (
stream,
minDecibels,
maxBlankTime,
cbOnStart,
cbOnEnd
) => {
const ctx = new AudioContext()
const analyser = ctx.createAnalyser()
const streamNode = ctx.createMediaStreamSource(stream)
streamNode.connect(analyser)
analyser.minDecibels = minDecibels
const data = new Uint8Array(analyser.frequencyBinCount)
let silenceStart = performance.now()
let triggered = false
const loop = (time) => {
requestAnimationFrame(loop)
analyser.getByteFrequencyData(data)
if (data.some((v) => v)) {
if (triggered) {
triggered = false
cbOnStart()
}
silenceStart = time
}
if (!triggered && time - silenceStart > maxBlankTime) {
cbOnEnd()
triggered = true
}
}
loop()
}
export default listener
+213
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import axios from 'axios'
import '@aurora/style.css'
window.leonInitStatusEvent = new EventTarget()
import './init'
import Client from './client'
import { BuiltInCommands } from './built-in-commands'
import FileSystemAutocomplete from './file-system-autocomplete'
import SessionsPanel from './sessions'
// import Recorder from './recorder'
// import listener from './listener'
import { onkeydownstartrecording, onkeydowninput } from './onkeydown'
const config = {
app: 'webapp',
server_host: import.meta.env.VITE_LEON_HOST,
server_port: import.meta.env.VITE_LEON_PORT,
min_decibels: -40, // Noise detection sensitivity
max_blank_time: 1_000 // Maximum time to consider a blank (ms)
}
const serverUrl =
import.meta.env.VITE_LEON_NODE_ENV === 'production'
? ''
: `${config.server_host}:${config.server_port}`
document.addEventListener('DOMContentLoaded', async () => {
try {
const [response, sessionsResponse] = await Promise.all([
axios.get(`${serverUrl}/api/v1/info`),
axios.get(`${serverUrl}/api/v1/sessions`)
])
const input = document.querySelector('#utterance')
const mic = document.querySelector('#mic-button')
const v = document.querySelector('#version small')
const infoButton = document.querySelector('#info')
const client = new Client(config.app, serverUrl, input, {
activeSessionId: sessionsResponse.data.active_session_id
})
const sessionsPanel = new SessionsPanel({
serverUrl,
socket: client.socket,
activeSessionId: sessionsResponse.data.active_session_id,
initialPayload: sessionsResponse.data,
onSelect: (sessionId) => client.setActiveSession(sessionId)
})
const fileSystemAutocomplete = new FileSystemAutocomplete({
serverUrl,
input
})
const builtInCommands = new BuiltInCommands({
serverUrl,
input,
getActiveSessionId: () => sessionsPanel.getActiveSessionId(),
onCommandExecuted: (commandInput) => {
if (commandInput.trim().startsWith('/session')) {
void sessionsPanel.refresh()
}
},
onSubmitToChat: (clientAction) => {
return client.sendUtterance(clientAction.utterance, {
commandContext: {
forcedRoutingMode: clientAction.command_context?.forced_routing_mode,
forcedSkillName: clientAction.command_context?.forced_skill_name,
forcedToolName: clientAction.command_context?.forced_tool_name
}
})
}
})
// let rec = {}
// let chunks = []
window.leonConfigInfo = response.data
const infoKeys = [
'timeZone',
'telemetry',
'gpu',
'graphicsComputeAPI',
'totalVRAM',
'freeVRAM',
'usedVRAM',
'llm',
'asr',
'tts',
'mood',
'version'
]
const infoToDisplay = {}
infoKeys.forEach((key) => {
infoToDisplay[key] = window.leonConfigInfo[key]
})
v.textContent += window.leonConfigInfo.version
client.updateMood(window.leonConfigInfo.mood)
client.setSessionPanel(sessionsPanel)
sessionsPanel.init()
client.init()
fileSystemAutocomplete.attach(input)
builtInCommands.init()
infoButton.addEventListener('click', () => {
alert(JSON.stringify(infoToDisplay, null, 2))
})
/*if (navigator.mediaDevices && navigator.mediaDevices.getUserMedia) {
navigator.mediaDevices
.getUserMedia({ audio: true })
.then((stream) => {
if (MediaRecorder) {
rec = new Recorder(stream, mic, window.leonConfigInfo)
client.recorder = rec
rec.ondataavailable((e) => {
chunks.push(e.data)
})
rec.onstart(() => {
/!* *!/
})
rec.onstop(() => {
const blob = new Blob(chunks)
chunks = []
rec.enabled = false
// Ensure there are some data
if (blob.size >= 1_000) {
client.socket.emit('recognize', blob)
}
})
listener.listening(
stream,
config.min_decibels,
config.max_blank_time,
() => {
// Noise detected
rec.noiseDetected = true
},
() => {
// Noise ended
rec.noiseDetected = false
if (rec.enabled && !rec.hotwordTriggered) {
rec.stop()
rec.enabled = false
rec.hotwordTriggered = false
rec.countSilenceAfterTalk = 0
}
}
)
client.socket.on('enable-record', () => {
rec.hotwordTriggered = true
rec.start()
setTimeout(() => {
rec.hotwordTriggered = false
}, config.max_blank_time)
rec.enabled = true
})
} else {
console.error('MediaRecorder is not supported on your browser.')
}
})
.catch((err) => {
console.error(
'MediaDevices.getUserMedia() threw the following error:',
err
)
})
} else {
console.error(
'MediaDevices.getUserMedia() is not supported on your browser.'
)
}*/
document.addEventListener('keydown', (e) => {
onkeydownstartrecording(e, () => {
client.asrStartRecording()
/*if (rec.enabled === false) {
input.value = ''
rec.start()
rec.enabled = true
} else {
rec.stop()
rec.enabled = false
}*/
})
})
input.addEventListener('keydown', (e) => {
onkeydowninput(e, client)
})
mic.addEventListener('click', (e) => {
e.preventDefault()
client.asrStartRecording()
/*if (rec.enabled === false) {
rec.start()
rec.enabled = true
} else {
rec.stop()
rec.enabled = false
}*/
})
} catch (e) {
alert(`Error: ${e.message}; ${JSON.stringify(e.response?.data)}`)
console.error(e)
}
})
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let index = -1
let parsedHistory = null
const onkeydowninput = (e, client) => {
const key = e.which || e.keyCode
if (localStorage.getItem('history') !== null && (key === 38 || key === 40)) {
parsedHistory = JSON.parse(localStorage.getItem('history')).reverse()
}
if (key === 13 && !e.shiftKey) {
if (client.send('utterance')) {
parsedHistory = JSON.parse(localStorage.getItem('history')).reverse()
index = -1
}
} else if (localStorage.getItem('history') !== null) {
if (e.shiftKey) {
if (key === 38 && index < parsedHistory.length - 1) {
index += 1
client.input = parsedHistory[index]
} else if (key === 40 && index - 1 >= 0) {
index -= 1
client.input = parsedHistory[index]
} else if (key === 40 && index - 1 < 0) {
client.input = ''
index = -1
}
}
}
}
const onkeydownstartrecording = (e, cb) => {
if ((e.metaKey || e.altKey) && e.key === 'c') {
cb()
}
}
export { onkeydowninput, onkeydownstartrecording }
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import on from '../sounds/on.mp3'
import off from '../sounds/off.mp3'
export default class Recorder {
constructor(stream, el, info) {
this.recorder = new MediaRecorder(stream, { audioBitsPerSecond: 16000 })
this.el = el
this.audioOn = new Audio(on)
this.audioOff = new Audio(off)
this.playSound = true
this.info = info
this.enabled = false
this.hotwordTriggered = false
this.noiseDetected = false
this.countSilenceAfterTalk = 0
}
start(playSound = true) {
if (this.info.asr.enabled === false) {
console.warn('ASR disabled')
} else {
this.playSound = playSound
this.recorder.start(playSound)
}
}
stop(playSound = true) {
if (this.info.asr.enabled === false) {
console.warn('ASR disabled')
} else {
this.playSound = playSound
this.recorder.stop(playSound)
}
}
onstart(cb) {
this.recorder.onstart = (e) => {
if (this.playSound) {
this.audioOn.play()
}
this.el.classList.add('enabled')
cb(e)
}
}
onstop(cb) {
this.recorder.onstop = (e) => {
if (this.playSound) {
this.audioOff.play()
}
this.el.classList.remove('enabled')
cb(e)
}
}
ondataavailable(cb) {
this.recorder.ondataavailable = (e) => {
cb(e)
}
}
}
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import { createElement } from 'react'
import * as auroraComponents from '@aurora'
import * as customAuroraComponents from '../custom-aurora-components'
export default function renderAuroraComponent(
socket,
component,
supportedEvents
) {
if (component) {
// `import/namespace` cannot statically validate dynamic component lookups.
// eslint-disable-next-line import/namespace
let reactComponent = auroraComponents[component.component]
/**
* Find custom component if a former component is not found
*/
if (!reactComponent) {
// eslint-disable-next-line import/namespace
reactComponent = customAuroraComponents[component.component]
}
if (!reactComponent) {
console.error(`Component ${component.component} not found`)
return null
}
// Check if the browsed component has a supported event and bind it
if (reactComponent && Array.isArray(component.events)) {
component.events.forEach((event) => {
if (supportedEvents.includes(event.type)) {
component.props[event.type] = (data) => {
const { method } = event
socket.emit('widget-event', { method, data })
}
}
})
}
// When children is a component, then wrap it in an array to render properly
const isComponent = !!component.props?.children?.component
if (isComponent) {
component.props.children = [component.props.children]
}
if (component.props?.children && Array.isArray(component.props.children)) {
component.props.children = component.props.children.map((child) => {
return renderAuroraComponent(socket, child, supportedEvents)
})
}
return createElement(reactComponent, component.props)
}
}
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import axios from 'axios'
const DAY_MS = 24 * 60 * 60 * 1_000
const GROUP_DATE_FORMATTER = new Intl.DateTimeFormat(undefined, {
month: 'long',
day: 'numeric',
year: 'numeric'
})
function createElement(tagName, className, textContent = '') {
const element = document.createElement(tagName)
if (className) {
element.className = className
}
if (textContent) {
element.textContent = textContent
}
return element
}
function getDayKey(timestamp) {
const date = new Date(timestamp)
return new Date(
date.getFullYear(),
date.getMonth(),
date.getDate()
).getTime()
}
function getGroupLabel(timestamp) {
const now = Date.now()
const todayKey = getDayKey(now)
const yesterdayKey = todayKey - DAY_MS
const itemKey = getDayKey(timestamp)
if (itemKey === todayKey) {
return 'Today'
}
if (itemKey === yesterdayKey) {
return 'Yesterday'
}
return GROUP_DATE_FORMATTER.format(new Date(timestamp))
}
export default class SessionsPanel {
constructor({
serverUrl,
socket,
activeSessionId,
initialPayload,
onSelect
}) {
this.serverUrl = serverUrl
this.socket = socket
this.activeSessionId = activeSessionId
this.sessions = initialPayload?.sessions || []
this.supportedProviders = initialPayload?.supported_providers || []
this.currentModelTarget = initialPayload?.current_model_target || ''
this.onSelect = onSelect
this.container = document.querySelector('#sessions-panel')
this.list = document.querySelector('#sessions-list')
this.newButton = document.querySelector('#new-session')
}
init() {
this.newButton.addEventListener('click', () => {
void this.createSession()
})
this.list.addEventListener('click', (event) => {
void this.handleClick(event)
})
this.render()
}
getActiveSessionId() {
return this.activeSessionId
}
async refresh() {
const previousActiveSessionId = this.activeSessionId
const response = await axios.get(`${this.serverUrl}/api/v1/sessions`)
this.applyPayload(response.data)
if (
response.data.active_session_id &&
response.data.active_session_id !== previousActiveSessionId
) {
await this.onSelect?.(response.data.active_session_id)
}
}
async createSession() {
const response = await axios.post(`${this.serverUrl}/api/v1/sessions`)
this.applyPayload(response.data)
await this.selectSession(response.data.session.id)
}
async selectSession(sessionId) {
this.activeSessionId = sessionId
this.socket.emit('session-change', sessionId)
await this.onSelect?.(sessionId)
await axios.patch(`${this.serverUrl}/api/v1/sessions/${sessionId}`, {
is_active: true
})
await this.refresh()
}
async updateSession(sessionId, payload) {
const response = await axios.patch(
`${this.serverUrl}/api/v1/sessions/${sessionId}`,
payload
)
this.applyPayload(response.data)
}
async deleteSession(sessionId) {
const wasActiveSession = this.activeSessionId === sessionId
const response = await axios.delete(
`${this.serverUrl}/api/v1/sessions/${sessionId}`
)
this.applyPayload(response.data)
if (wasActiveSession) {
await this.selectSession(response.data.active_session_id)
}
}
async handleClick(event) {
const button = event.target.closest('button')
const item = event.target.closest('.session-item')
if (!item) {
return
}
const sessionId = item.getAttribute('data-session-id')
if (!button) {
await this.selectSession(sessionId)
return
}
const action = button.getAttribute('data-action')
if (action === 'rename') {
const currentTitle = item.getAttribute('data-session-title') || ''
const title = window.prompt('Session title', currentTitle)
if (title && title.trim()) {
await this.updateSession(sessionId, { title: title.trim() })
}
} else if (action === 'pin') {
await this.updateSession(sessionId, {
is_pinned: button.getAttribute('aria-pressed') !== 'true'
})
} else if (action === 'delete') {
await this.deleteSession(sessionId)
} else if (action === 'model') {
await this.updateSessionModel(sessionId)
}
}
async updateSessionModel(sessionId) {
const provider = window.prompt(
`Provider (${this.supportedProviders.join(', ')})`
)
if (!provider) {
return
}
const model = window.prompt('Model')
if (!model) {
return
}
await this.updateSession(sessionId, {
provider: provider.trim(),
model: model.trim()
})
}
applyPayload(payload) {
this.sessions = payload.sessions || []
this.supportedProviders = payload.supported_providers || []
this.currentModelTarget = payload.current_model_target || ''
this.activeSessionId = payload.active_session_id || this.activeSessionId
this.render()
}
render() {
this.list.innerHTML = ''
const pinnedSessions = this.sessions.filter((session) => session.isPinned)
const unpinnedSessions = this.sessions.filter((session) => !session.isPinned)
if (pinnedSessions.length > 0) {
this.renderGroup('Pinned', pinnedSessions)
}
const groupedSessions = new Map()
for (const session of unpinnedSessions) {
const timestamp = session.lastMessageAt || session.updatedAt
const groupLabel = getGroupLabel(timestamp)
const group = groupedSessions.get(groupLabel) || []
group.push(session)
groupedSessions.set(groupLabel, group)
}
for (const [label, sessions] of groupedSessions.entries()) {
this.renderGroup(label, sessions)
}
}
renderGroup(label, sessions) {
const group = createElement('section', 'session-group')
const heading = createElement('h2', 'session-group-title', label)
group.appendChild(heading)
for (const session of sessions) {
group.appendChild(this.createSessionItem(session))
}
this.list.appendChild(group)
}
createSessionItem(session) {
const item = createElement('article', 'session-item')
const title = createElement('div', 'session-title', session.title)
const meta = createElement(
'div',
'session-meta',
session.modelTarget || this.currentModelTarget || 'Default model'
)
const actions = createElement('div', 'session-actions')
item.setAttribute('data-session-id', session.id)
item.setAttribute('data-session-title', session.title)
if (session.id === this.activeSessionId) {
item.classList.add('session-item--active')
}
actions.appendChild(
this.createActionButton(
'pin',
session.isPinned ? 'ri-pushpin-fill' : 'ri-pushpin-line',
session.isPinned
)
)
actions.appendChild(this.createActionButton('rename', 'ri-edit-line'))
actions.appendChild(this.createActionButton('model', 'ri-brain-line'))
actions.appendChild(this.createActionButton('delete', 'ri-delete-bin-line'))
item.appendChild(title)
item.appendChild(meta)
item.appendChild(actions)
return item
}
createActionButton(action, iconClassName, isPressed = false) {
const button = createElement('button', 'session-action')
const icon = createElement('i', iconClassName)
button.type = 'button'
button.setAttribute('data-action', action)
button.setAttribute('aria-label', action)
button.setAttribute('aria-pressed', String(isPressed))
button.appendChild(icon)
return button
}
}
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import { createElement } from 'react'
import { createRoot } from 'react-dom/client'
import { WidgetWrapper, List, ListHeader, ListItem } from '@aurora'
export default function handleSuggestions(data, chatbot, client) {
const container = document.createElement('div')
container.className = 'bubble-container leon'
chatbot.feed.appendChild(container)
const root = createRoot(container)
root.render(
createElement(WidgetWrapper, {
noPadding: true,
children: createElement(List, {
children: [
createElement(ListHeader, {
children: 'Suggestions'
}),
...data.map((suggestionText) => {
return createElement(ListItem, {
children: suggestionText,
name: 'suggestion',
value: suggestionText,
onClick: (suggestion) => {
const parent = container.parentNode
if (parent) {
parent.removeChild(container)
}
client.input.value = suggestion.value
client.send('utterance')
}
})
})
]
})
})
)
}
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const STATUS = {
listening: 'Listening...',
processing: 'Processing...',
talking: 'Talking...',
idle: 'Idle'
}
export default class VoiceEnergy {
constructor(client) {
this.client = client
this.voiceEnergyContainerElement = document.querySelector(
'#voice-energy-container'
)
this.voiceOverlayElement = document.querySelector('#voice-overlay-bg')
this.statusElement = document.querySelector('#voice-status')
this._status = 'idle'
}
get status() {
return this._status
}
set status(newStatus) {
if (this._status !== newStatus) {
this._status = newStatus
if (this.statusElement) {
this.statusElement.textContent = STATUS[newStatus]
}
// Clean up speech text when listening
if (newStatus === 'listening' && this.client.voiceSpeechElement) {
this.client.voiceSpeechElement.textContent = ''
}
if (this.voiceEnergyContainerElement) {
this.voiceEnergyContainerElement.className = ''
this.voiceEnergyContainerElement.classList.add(newStatus)
}
}
}
init() {
if (this.voiceEnergyContainerElement) {
if (this.voiceOverlayElement) {
this.voiceOverlayElement.addEventListener('click', (e) => {
e.preventDefault()
this.client.disableVoiceMode()
})
}
const particles = new Set()
const particleColors = ['blue', 'pink']
for (let i = 0; i < 32; i += 1) {
const particle = document.createElement('div')
const randomColor = Math.floor(Math.random() * 2)
let random = Math.floor(Math.random() * 32)
while (particles.has(random)) {
random = Math.floor(Math.random() * 32)
}
particles.add(random)
particle.setAttribute('data-particle', String(random))
particle.classList.add('voice-particle', particleColors[randomColor])
particle.style.transform = `rotate(${
i * 11.25
}deg) translate(110px) rotate(-${i * 11.25}deg)`
this.voiceEnergyContainerElement.appendChild(particle)
}
}
}
}
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{
"extends": "../tsconfig.json",
"compilerOptions": {
"jsx": "react-jsx",
"noEmit": true
},
"include": ["./src/**/*", "../aurora/src/**/*", "../aurora/global.d.ts"],
"exclude": ["./dist", "../node_modules"]
}
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import dns from 'node:dns'
import fs from 'node:fs'
import { fileURLToPath } from 'node:url'
import dotenv from 'dotenv'
import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
import YAML from 'yaml'
import {
PROFILE_CONFIG_PATH,
PROFILE_DOT_ENV_PATH
} from '../server/src/leon-roots.ts'
const APP_DEV_SERVER_PORT = 5_173
const NODE_MODULES_PATH_SEGMENT = '/node_modules/'
const REACT_VENDOR_PACKAGES = ['react', 'react-dom', 'scheduler']
const REALTIME_VENDOR_PACKAGES = [
'socket.io-client',
'socket.io-parser',
'engine.io-client',
'engine.io-parser'
]
const UI_VENDOR_PACKAGE_PREFIXES = ['@ark-ui/', '@zag-js/', '@floating-ui/']
dotenv.config({ path: PROFILE_DOT_ENV_PATH })
dns.setDefaultResultOrder('verbatim')
function readAppLeonConfig() {
if (!fs.existsSync(PROFILE_CONFIG_PATH)) {
throw new Error(`Profile config file not found at "${PROFILE_CONFIG_PATH}".`)
}
const config = YAML.parse(fs.readFileSync(PROFILE_CONFIG_PATH, 'utf8'))
const server = config?.server
if (
!server ||
typeof server.host !== 'string' ||
!Number.isInteger(server.port)
) {
throw new Error(
`Profile config file "${PROFILE_CONFIG_PATH}" must define server.host and server.port.`
)
}
return {
host: server.host,
port: server.port
}
}
function normalizeModuleId(moduleId) {
return moduleId.replaceAll('\\', '/')
}
function isNodeModule(moduleId) {
return normalizeModuleId(moduleId).includes(NODE_MODULES_PATH_SEGMENT)
}
function includesVendorPackage(moduleId, packageName) {
return normalizeModuleId(moduleId).includes(
`${NODE_MODULES_PATH_SEGMENT}${packageName}/`
)
}
function includesVendorPackagePrefix(moduleId, packagePrefix) {
return normalizeModuleId(moduleId).includes(
`${NODE_MODULES_PATH_SEGMENT}${packagePrefix}`
)
}
// Map necessary Leon's env vars as Vite only expose VITE_*
const leonConfig = readAppLeonConfig()
process.env.VITE_LEON_NODE_ENV = process.env.LEON_NODE_ENV
process.env.VITE_LEON_HOST = leonConfig.host
process.env.VITE_LEON_PORT = String(leonConfig.port)
export default defineConfig({
root: 'app/src',
resolve: {
alias: [
{
find: '@aurora/style.css',
replacement: fileURLToPath(
new URL('../aurora/style.css', import.meta.url)
)
},
{
find: '@aurora',
replacement: fileURLToPath(
new URL('../aurora/src/index.ts', import.meta.url)
)
}
]
},
build: {
outDir: '../dist',
emptyOutDir: true,
rolldownOptions: {
output: {
codeSplitting: {
groups: [
{
name: 'react-vendor',
test: (moduleId) =>
REACT_VENDOR_PACKAGES.some((packageName) =>
includesVendorPackage(moduleId, packageName)
),
priority: 30
},
{
name: 'realtime-vendor',
test: (moduleId) =>
REALTIME_VENDOR_PACKAGES.some((packageName) =>
includesVendorPackage(moduleId, packageName)
),
priority: 20
},
{
name: 'ui-vendor',
test: (moduleId) =>
UI_VENDOR_PACKAGE_PREFIXES.some((packagePrefix) =>
includesVendorPackagePrefix(moduleId, packagePrefix)
),
priority: 10
},
{
name: 'vendor',
test: isNodeModule,
priority: 0
}
]
}
}
}
},
server: {
port: APP_DEV_SERVER_PORT
},
plugins: [react()]
})
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declare module '*.css'
declare module '*.scss'
declare module '*.sass'
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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Aurora</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/main.tsx"></script>
</body>
<style>
body {
background-color: #000;
color: #fff;
margin: 32px 0;
font-family: var(--a-font-family);
}
#root {
width: 900px;
margin: 0 auto;
}
h2 {
margin: 24px 0;
font-size: 1.4rem;
font-weight: 600;
}
</style>
</html>
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import React from 'react'
import ReactDOM from 'react-dom/client'
import '@fontsource/source-sans-pro/200.css'
import '@fontsource/source-sans-pro/300.css'
import '@fontsource/source-sans-pro/400.css'
import '@fontsource/source-sans-pro/600.css'
import '@fontsource/source-sans-pro/700.css'
import '@fontsource/source-sans-pro/900.css'
import 'remixicon/fonts/remixicon.css'
import '../src/styles/main.sass'
import { App } from './App.tsx'
const rootElement = document.getElementById('root')
if (rootElement != null) {
ReactDOM.createRoot(rootElement).render(
<React.StrictMode>
<App />
</React.StrictMode>
)
} else {
console.error('Error: Root element not found!')
}
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.aurora-preview-page {
min-height: 100vh;
padding: 32px;
background:
radial-gradient(circle at top left, rgba(28, 117, 219, 0.16), transparent 30%),
radial-gradient(circle at top right, rgba(237, 41, 122, 0.14), transparent 30%),
var(--black-color);
color: var(--white-color);
}
.aurora-preview-shell {
width: min(1_440px, 100%);
margin: 0 auto;
}
.aurora-preview-header {
margin-bottom: 24px;
}
.aurora-preview-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(320px, 1fr));
gap: 20px;
}
.aurora-preview-section {
display: flex;
flex-direction: column;
gap: 16px;
}
.aurora-preview-widget {
display: flex;
flex-direction: column;
gap: 16px;
}
+26
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import { fileURLToPath } from 'node:url'
import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
const AURORA_PREVIEW_DEV_SERVER_PORT = 5_175
export default defineConfig({
root: fileURLToPath(new URL('.', import.meta.url)),
resolve: {
alias: [
{
find: '@aurora/style.css',
replacement: fileURLToPath(new URL('../style.css', import.meta.url))
},
{
find: '@aurora',
replacement: fileURLToPath(new URL('../src/index.ts', import.meta.url))
}
]
},
server: {
port: AURORA_PREVIEW_DEV_SERVER_PORT
},
plugins: [react()]
})
+61
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@use '../../styles/main.sass' as *
.aurora-button
position: relative
display: inline-block
font-size: var(--a-font-size-md)
line-height: var(--a-line-height-md)
font-weight: var(--a-font-weight-semi-bold)
border-radius: var(--a-border-radius-md)
height: var(--a-button-size-md)
border: none
cursor: pointer
padding: 0 var(--a-space-lg)
box-shadow: 0 0 10px 2px transparent
transition: opacity var(--a-transition-duration-main) var(--a-transition-timing-main), transform var(--a-transition-duration-main), background-color var(--a-transition-duration-main) var(--a-transition-timing-main), border-color var(--a-transition-duration-main) var(--a-transition-timing-main), color var(--a-transition-duration-main) var(--a-transition-timing-main), box-shadow var(--a-transition-duration-main) var(--a-transition-timing-main)
&:hover:not(&--disabled, &--loading)
transform: scale3d(1.01, 1.01, 1.01)
&:active:not(&--disabled, &--loading)
transform: scale3d(.96, .96, .96)
&--primary
color: var(--a-color-text)
background-color: var(--a-color-accent)
&:hover:not(.aurora-button--disabled, .aurora-button--loading)
background-color: var(--a-color-accent-hover)
&--secondary
background-color: transparent
color: var(--a-color-accent)
border: 1px solid var(--a-color-accent)
&:hover:not(.aurora-button--disabled, .aurora-button--loading), &:hover:not(.aurora-button--disabled, .aurora-button--loading) .aurora-icon
border-color: var(--a-color-accent-hover)
color: var(--a-color-accent-hover)
.aurora-icon
color: var(--a-color-accent)
&--danger
background-color: var(--a-color-background-danger)
color: var(--a-color-text-danger)
&:hover:not(.aurora-button--disabled, .aurora-button--loading)
background-color: var(--a-color-danger-hover)
&--light
background-color: transparent
color: var(--a-color-accent)
&:hover:not(.aurora-button--disabled, .aurora-button--loading), &:hover:not(.aurora-button--disabled, .aurora-button--loading) .aurora-icon
color: var(--a-color-accent-hover)
.aurora-icon
color: var(--a-color-accent)
&--disabled
opacity: var(--a-opacity-disabled)
cursor: not-allowed
&--loading
opacity: var(--a-opacity-disabled)
cursor: wait
.aurora-loader
&::before, &::after
background-color: var(--a-color-white)
+114
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import classNames from 'clsx'
import { generateKeyId } from '../../lib/utils'
import { Flexbox, Icon, Loader } from '../..'
import './button.sass'
interface ButtonOnClickData {
name: string | undefined
value: string | number | undefined
}
export interface ButtonProps {
/* eslint-disable-next-line @typescript-eslint/no-explicit-any */
children?: any
// children?: React.ReactNode
type?: 'button' | 'submit'
iconName?: string
iconPosition?: 'left' | 'right'
secondary?: boolean
danger?: boolean
light?: boolean
disabled?: boolean
loading?: boolean
name?: string
value?: string | number | undefined
onClick?: (data: ButtonOnClickData) => void
}
export function Button({
children,
type = 'button',
iconName,
iconPosition = 'left',
secondary,
danger,
light,
disabled,
loading,
name,
value,
onClick
}: ButtonProps) {
let variant = 'primary'
if (secondary) {
variant = 'secondary'
} else if (danger) {
variant = 'danger'
} else if (light) {
variant = 'light'
}
return (
<button
key={`aurora-button_${generateKeyId()}`}
type={type}
name={name}
value={value}
className={classNames('aurora-button', {
'aurora-button--disabled': disabled,
'aurora-button--loading': loading,
[`aurora-button--${variant}`]: variant
})}
disabled={disabled || loading}
onClick={(event) => {
if (type !== 'button') {
return
}
event.preventDefault()
const data = {
name,
value
}
if (onClick) {
onClick(data)
}
}}
>
{loading ? (
<Loader />
) : (
<>
{iconName && iconPosition === 'left' && (
<Flexbox
flexDirection="row"
justifyContent="center"
alignItems="center"
gap="xs"
>
<Icon iconName={iconName} type="line" />
{children}
</Flexbox>
)}
{iconName && iconPosition === 'right' && (
<Flexbox
flexDirection="row"
justifyContent="center"
alignItems="center"
gap="xs"
>
{children}
<Icon iconName={iconName} type="line" />
</Flexbox>
)}
{!iconName && children}
</>
)}
</button>
)
}
+1
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export * from './button'
+12
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@use '../../styles/main.sass' as *
.aurora-card
position: relative
display: inline-block
width: auto
padding: var(--a-space-md)
background-color: var(--a-color-background-surface-secondary)
border-radius: var(--a-border-radius-md)
&--full-width
width: 100%
+25
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import classNames from 'clsx'
import { generateKeyId } from '../../lib/utils'
import './card.sass'
export interface CardProps {
/* eslint-disable-next-line @typescript-eslint/no-explicit-any */
children: any
// children: React.ReactNode
fullWidth?: boolean
}
export function Card({ children, fullWidth }: CardProps) {
return (
<div
key={`aurora-card_${generateKeyId()}`}
className={classNames('aurora-card', {
'aurora-card--full-width': fullWidth
})}
>
{children}
</div>
)
}
+1
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@@ -0,0 +1 @@
export * from './card'
@@ -0,0 +1,39 @@
@use '../../styles/main.sass' as *
.aurora-checkbox
display: flex
align-items: center
gap: var(--a-space-sm)
cursor: pointer
&[data-disabled]
cursor: not-allowed
.aurora-checkbox-placeholder
width: var(--a-checkbox-radio-size)
height: var(--a-checkbox-radio-size)
.aurora-checkbox-control
display: flex
justify-content: center
align-items: center
width: var(--a-checkbox-radio-size)
height: var(--a-checkbox-radio-size)
border-radius: var(--a-border-radius-xs)
border: 1px solid var(--a-color-input-border)
background-color: var(--a-color-input-background)
transition: background-color var(--a-transition-duration-main) var(--a-transition-timing-main), border-color var(--a-transition-duration-main) var(--a-transition-timing-main)
&[data-hover]:not([data-state="checked"])
border-color: var(--a-color-input-border-hover)
background-color: var(--a-color-input-background-hover)
&[data-state="checked"]
border-color: transparent
background-color: var(--a-color-input-border-focus)
&[data-disabled]
opacity: var(--a-opacity-disabled)
.aurora-checkbox-label
color: var(--a-color-text)
font-size: var(--a-font-size-md)
&[data-disabled]
opacity: var(--a-opacity-disabled)
@@ -0,0 +1,74 @@
import { useState } from 'react'
import {
Checkbox as ArkCheckbox,
type CheckboxCheckedChangeDetails,
type CheckboxRootProps as ArkCheckboxProps
} from '@ark-ui/react/checkbox'
import { Icon } from '../icon'
import './checkbox.sass'
interface CheckboxOnChangeData {
name: string
value: string | undefined
isChecked: boolean
}
export interface CheckboxProps
extends Pick<
ArkCheckboxProps,
'value' | 'checked' | 'disabled' | 'required'
> {
name: string
label?: string
onChange?: (data: CheckboxOnChangeData) => void
}
export function Checkbox({
name,
label,
checked,
value,
disabled,
required,
onChange
}: CheckboxProps) {
const [isChecked, setIsChecked] = useState(checked)
return (
<ArkCheckbox.Root
className="aurora-checkbox"
name={name}
value={value}
checked={isChecked}
disabled={disabled}
required={required}
onCheckedChange={(event: CheckboxCheckedChangeDetails) => {
setIsChecked(event.checked as boolean)
const data = {
name,
value,
isChecked: !!event.checked
}
if (onChange) {
onChange(data)
}
}}
>
<ArkCheckbox.HiddenInput />
<ArkCheckbox.Control className="aurora-checkbox-control">
{isChecked ? (
<Icon iconName="check" size="sm" animated />
) : (
<div className="aurora-checkbox-placeholder" />
)}
</ArkCheckbox.Control>
<ArkCheckbox.Label className="aurora-checkbox-label">
{label}
</ArkCheckbox.Label>
</ArkCheckbox.Root>
)
}
+1
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export * from './checkbox'

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