User description
Category:
One of: Bugfix / Feature / Code style update / Refactoring Only / Build related changes / Documentation / Other (please specify)
Overview
Briefly outline your new changes...
Issue Number (if applicable) #00
New Vars (if applicable)
If you've added any new build scripts, environmental variables, config file options, dependency or devDependency, please outline here
Screenshot (if applicable)
If you've introduced any significant UI changes, please include a screenshot
Code Quality Checklist (Please complete)
- [ ] All changes are backwards compatible
- [ ] All lint checks and tests are passing
- [ ] There are no (new) build warnings or errors
- [ ] (If a new config option is added) Attribute is outlined in the schema and documented
- [ ] (If a new dependency is added) Package is essential, and has been checked out for security or performance
- [ ] (If significant change) Bumps version in package.json
PR Type
Enhancement, Documentation
Description
• Major architectural refactoring: Renamed "assistant" to "agent" throughout the entire codebase for consistency
• Complete web interface: Added FastAPI-based REST API with WebSocket support, authentication, and modern HTML/CSS/JS frontend
• Comprehensive authentication system: Implemented JWT-based authentication with role-based access control and user management
• Persistent storage: Added SQLite-based conversation and message storage with Alembic migrations
• Tool system architecture: Created extensible tool registry with automatic parameter generation from type hints
• Core agent framework: Implemented base agent classes with OpenAI integration and conversation management
• Modern project structure: Added pyproject.toml, streamlined dependencies, and comprehensive documentation
• Database infrastructure: Added SQLAlchemy models, migration scripts, and initialization utilities
• Enhanced examples: Updated workday summarizer and added interactive usage examples
Diagram Walkthrough
flowchart LR
A["Legacy Assistant"] --> B["Core Agent System"]
B --> C["FastAPI Web Interface"]
B --> D["Tool Registry"]
B --> E["SQLite Storage"]
C --> F["JWT Authentication"]
C --> G["WebSocket Chat"]
E --> H["Alembic Migrations"]
F --> I["User Management"]
G --> J["Modern Web UI"]
File Walkthrough
| Relevant files |
|---|
| Enhancement | 18 files
app.pyAdd FastAPI web interface for agent interactions
src/gpt_computer_agent/api/app.py
• Created a complete FastAPI web application with conversation management • Implemented REST API endpoints for conversations, messages, and WebSocket support • Added authentication dependencies and CORS middleware configuration • Integrated with storage system and agent for real-time chat functionality
|
+305/-0 |
storage.pyAdd SQLite-based conversation storage system
src/gpt_computer_agent/utils/storage.py
• Created persistent storage system using SQLite for conversations and messages • Implemented Message, Conversation, and Storage classes with full CRUD operations • Added database schema initialization and conversation management methods
|
+301/-0 |
common.pyAdd common utility functions for configuration and operations
src/gpt_computer_agent/utils/common.py
• Added comprehensive utility functions for configuration, logging, and file operations • Implemented functions for timestamp generation, URL validation, and checksum calculation • Created environment information gathering and directory management utilities
|
+246/-0 |
tools.pyAdd comprehensive tool system for agent capabilities
src/gpt_computer_agent/core/tools.py
• Created tool system with Tool class and ToolRegistry for agent capabilities • Implemented automatic parameter generation from function type hints • Added tool validation, execution, and OpenAI API format conversion
|
+208/-0 |
agent.pyAdd core agent architecture with OpenAI integration
src/gpt_computer_agent/core/agent.py
• Created base agent architecture with BaseAgent and GPTChatAgent classes • Implemented OpenAI integration with tool calling and conversation management • Added agent configuration, state saving/loading, and async execution support
|
+142/-0 |
users.pyAdd user management API routes with authentication
src/gpt_computer_agent/api/routers/users.py
• Created comprehensive user management API routes with CRUD operations • Implemented authentication-protected endpoints with role-based access control • Added user creation, updating, deletion, and profile management functionality
|
+152/-0 |
security.pyAdd JWT authentication and security utilities
src/gpt_computer_agent/core/security.py
• Implemented JWT-based authentication with access and refresh tokens • Added password hashing, token creation/validation, and user authentication • Created FastAPI dependencies for current user and active user retrieval
|
+115/-0 |
logging.pyAdd comprehensive logging configuration with loguru
src/gpt_computer_agent/config/logging.py
• Created logging configuration system using loguru • Implemented file and console logging with rotation and retention • Added interceptor for standard library logging redirection
|
+108/-0 |
user.pyAdd user service layer for database operations
src/gpt_computer_agent/services/user.py
• Created user service layer with database operations for user management • Implemented user CRUD operations, authentication, and first superuser creation • Added password hashing and user validation functionality
|
+103/-0 |
user.pyAdd Pydantic schemas for user data validation
src/gpt_computer_agent/schemas/user.py
• Created Pydantic schemas for user data validation and serialization • Implemented user creation, update, authentication, and token schemas • Added password strength validation and email validation
|
+94/-0 |
__init__.pyAdd authentication module with JWT and user management
src/gpt_computer_agent/auth/init.py
• Created authentication module with JWT token handling • Implemented password hashing, token creation, and user authentication • Added fake user database for demonstration purposes
|
+106/-0 |
initial_migration.pyAdd initial database migration for user tables
alembic/versions/initial_migration.py
• Created initial database migration for users and refresh_tokens tables • Implemented table creation with proper indexes and foreign key constraints • Added upgrade and downgrade functions for database schema management
|
+63/-0 |
auth.pyAdd authentication API routes for login and registration
src/gpt_computer_agent/api/routers/auth.py
• Created authentication API routes for login and user registration • Implemented OAuth2-compatible token endpoint and user profile access • Added JWT token generation and user creation functionality
|
+82/-0 |
env.pyAdd Alembic migration environment configuration
alembic/env.py
• Created Alembic environment configuration for database migrations • Implemented offline and online migration modes with proper database connection • Added model imports and metadata configuration for autogenerate support
|
+87/-0 |
user.pyAdd SQLAlchemy models for user authentication
src/gpt_computer_agent/models/user.py
• Created SQLAlchemy User and RefreshToken models for database storage • Implemented user authentication properties and token management • Added proper table relationships and database constraints
|
+64/-0 |
init_db.pyAdd database initialization script with admin user creation
scripts/init_db.py
• Created database initialization script for setting up tables and admin user • Implemented automatic admin user creation with configurable credentials • Added error handling and database session management
|
+60/-0 |
index.htmlComplete web interface implementation for GPT Computer Agent
src/gpt_computer_agent/api/templates/index.html
• Added complete HTML template for GPT Computer Agent web interface • Implemented responsive chat UI with sidebar for conversation management • Added JavaScript functionality for real-time messaging and API integration • Included Tailwind CSS styling and Font Awesome icons for modern UI
|
+484/-0 |
workday_summerizer.mdEnhanced workday summarizer with comprehensive monitoring features
example_use_cases/workday_summerizer.md
• Updated references from "GPT Computer Assistant" to "GPT Computer Agent" • Enhanced workday monitoring script with comprehensive activity tracking • Added JSON data storage and human-readable summary generation • Improved error handling and structured data collection
|
+154/-21 |
|
| Refactoring | 6 files
process.pyRename assistant references to agent throughout processing
src/gpt_computer_agent/agent/process.py
• Renamed import from assistant to agent module • Updated function calls from assistant() to agent() • Changed signal handler references from assistant_response_ to agent_response_
|
+17/-17 |
api.pyUpdate imports to use relative package references
src/gpt_computer_agent/api.py
• Updated import statements to use relative imports instead of absolute paths • Changed references from gpt_computer_agent module to current package imports
|
+18/-18 |
button.pyUpdate GUI button signals from assistant to agent terminology
src/gpt_computer_agent/gui/button.py
• Updated signal handler connections from assistant_ to agent_ naming • Changed method names and signal emissions to use agent terminology
|
+14/-14 |
chat_history.pyRename Assistant class to Agent in chat history
src/gpt_computer_agent/utils/chat_history.py
• Renamed Assistant class to Agent and updated related references • Changed message type from "assistant" to "agent" throughout the codebase • Updated chat history processing to use agent terminology
|
+8/-8 |
gpt_computer_agent.pyUpdate main application to use agent terminology
src/gpt_computer_agent/gpt_computer_agent.py
• Updated imports from assistant to agent_executor module • Changed variable names from assistant_stopped to agent_stopped • Updated state management to use agent terminology
|
+8/-8 |
start.pyUpdate startup script with agent terminology and GitHub URL
src/gpt_computer_agent/start.py
• Updated docstring references from "computer assistant" to "computer agent" • Changed GitHub URL from khulnasoft to khulnasoft-lab organization • Updated import statements to use relative imports
|
+5/-5 |
|
| Documentation | 5 files
basic_usage.pyAdd basic usage example with interactive agent demo
examples/basic_usage.py
• Created example script demonstrating agent usage with custom tools • Implemented sample tools for web search, calculator, and weather functions • Added interactive conversation loop for testing agent capabilities
|
+133/-0 |
README_NEW.mdNew comprehensive README with modern documentation
README_NEW.md
• Created new comprehensive README with modern project structure • Added detailed installation and usage instructions • Included API documentation and custom tool integration examples • Added project structure overview and contribution guidelines
|
+174/-0 |
AUTHENTICATION.mdAuthentication system documentation and implementation guide
AUTHENTICATION.md
• Added comprehensive authentication system documentation • Included JWT-based authentication with role-based access control • Provided API endpoint documentation and usage examples • Added security considerations and testing instructions
|
+119/-0 |
README.mdUpdated terminology from assistant to agent throughout README
README.md
• Updated Product Hunt badge URL from "assistant" to "agent" • Changed terminology from "assistant" to "agent" throughout documentation • Updated developer persona reference to use "agent" terminology • Fixed roadmap table references to use consistent "Agent" naming
|
+5/-5 |
README.TR.mdTurkish README terminology update to use agent instead of assistant
README.TR.md
• Updated title from "GPT Computer Assistant" to "GPT Computer Agent" • Changed image alt text references from "Assistant" to "Agent" • Updated terminology to maintain consistency with main README
|
+3/-3 |
|
| Configuration changes | 4 files
settings.pyAdd comprehensive application settings and configuration
src/gpt_computer_agent/config/settings.py
• Created comprehensive settings management using Pydantic BaseSettings • Added configuration for API, authentication, database, and platform-specific settings • Implemented logging configuration and environment variable support
|
+113/-0 |
alembic.iniDatabase migration configuration with Alembic setup
alembic.ini
• Added Alembic configuration file for database migrations • Configured SQLite database connection string • Set up logging configuration for migration operations • Included standard Alembic settings and hooks
|
+111/-0 |
pyproject.tomlModern Python project configuration with pyproject.toml
pyproject.toml
• Added modern Python project configuration file • Defined project metadata, dependencies, and build system • Included development dependencies and tool configurations • Added command-line script entry point for computeragent
|
+52/-0 |
script.py.makoAlembic migration script template for database versioning
alembic/script.py.mako
• Added Alembic migration script template • Included standard revision tracking and metadata • Provided upgrade and downgrade function templates • Set up proper imports and revision identifiers
|
+24/-0 |
|
| Dependencies | 1 files
requirements.txtModernized dependencies for web framework and development
requirements.txt
• Streamlined dependencies by removing legacy packages • Added modern web framework dependencies (FastAPI, uvicorn) • Included database support with SQLAlchemy and Alembic • Added development tools for testing and code quality
|
+37/-50 |
|
| Additional files | 62 files |
Summary by CodeRabbit
-
New Features
- Aideck rebrand and agent platform: direct/graph workflows, RAG knowledge base, caching, wide embedding provider support, tools, canvas, JWT auth, centralized settings, structured logging, Docker image and entrypoint, dev/run helpers.
-
Documentation
- README rebranded; adds DEVELOPMENT, TESTING, CLAUDE guides, notebooks and examples; some localized READMEs removed.
-
Tests
- Pytest config, test runner, basic smoke test, and CI test workflow added.
-
Chores
- .env template, setup/dev scripts, pre-commit config, publish/TestPyPI workflows added; legacy release/build/refactor CI workflows removed.