# UUTEL Implementation TODO List

## Naming Convention
**IMPORTANT**: Follow the `{ProviderName}UU` naming pattern throughout the codebase:
- Base class: `BaseUU` (extends LiteLLM's `BaseLLM`)
- Claude Code provider: `ClaudeCodeUU`
- Gemini CLI provider: `GeminiCLIUU`
- Cloud Code provider: `CloudCodeUU`
- Codex provider: `CodexUU`

### Implementation Rules:
- [ ] **ALL** provider classes must end with `UU`
- [ ] **ALL** provider files should use the pattern `{provider_name}UU` for main classes
- [ ] **ALL** authentication classes should use pattern `{ProviderName}Auth`
- [ ] **ALL** transformation classes should use pattern `{ProviderName}Transform`
- [ ] **ALL** model classes should use pattern `{ProviderName}Models`
- [ ] Import statements should use: `from uutel.providers.{provider}.provider import {ProviderName}UU`

## Phase 1: Core Infrastructure (Foundation)

### Base Classes and Interfaces
- [ ] Create `core/base.py` with `BaseUU` class extending LiteLLM's `BaseLLM`
- [ ] Define common interfaces for authentication in `core/base.py`
- [ ] Define common interfaces for request/response transformation in `core/base.py`
- [ ] Create standardized error handling framework in `core/exceptions.py`
- [ ] Create standardized logging framework in `core/base.py`
- [ ] Implement utility functions for message format conversion in `core/utils.py`

### Authentication Framework
- [ ] Create `core/auth.py` with base authentication classes
- [ ] Implement OAuth 2.0 handler for Claude Code and Cloud Code
- [ ] Implement API key management for Gemini CLI
- [ ] Implement token refresh and caching mechanisms
- [ ] Implement secure credential storage and retrieval
- [ ] Add environment variable support for all auth methods

### Core Utilities
- [ ] Create HTTP client wrapper with retry logic in `core/utils.py`
- [ ] Implement response streaming utilities in `core/utils.py`
- [ ] Create message format transformation helpers in `core/utils.py`
- [ ] Implement tool/function calling adapters in `core/utils.py`
- [ ] Add logging and monitoring utilities in `core/utils.py`

## Phase 2: Provider Implementations

### Claude Code Provider
- [ ] Create `providers/claude_code/` directory structure
- [ ] Implement `providers/claude_code/auth.py` with OAuth authentication
- [ ] Create `providers/claude_code/models.py` with request/response models
- [ ] Implement `providers/claude_code/transforms.py` with message transformation
- [ ] Create `providers/claude_code/provider.py` extending `BaseUU`
- [ ] Implement MCP (Model Context Protocol) tool integration
- [ ] Add support for Claude 3.5 Sonnet and Haiku models
- [ ] Implement streaming chat completions
- [ ] Add comprehensive error handling and mapping

### Gemini CLI Provider
- [ ] Create `providers/gemini_cli/` directory structure
- [ ] Implement `providers/gemini_cli/auth.py` with multiple auth methods
- [ ] Create `providers/gemini_cli/models.py` with request/response models
- [ ] Implement `providers/gemini_cli/transforms.py` with message transformation
- [ ] Create `providers/gemini_cli/provider.py` extending `BaseUU`
- [ ] Add support for API key, Vertex AI, and OAuth authentication
- [ ] Implement function calling with tool use
- [ ] Add streaming responses with proper chunk handling
- [ ] Add support for Gemini 2.0 Flash and Pro models

### Google Cloud Code Provider
- [ ] Create `providers/cloud_code/` directory structure
- [ ] Implement `providers/cloud_code/auth.py` with Google Cloud authentication
- [ ] Create `providers/cloud_code/models.py` with request/response models
- [ ] Implement `providers/cloud_code/transforms.py` with message transformation
- [ ] Create `providers/cloud_code/provider.py` extending `BaseUU`
- [ ] Implement Google Cloud service account authentication
- [ ] Add Code Assist API integration
- [ ] Implement project-based model access
- [ ] Add safety settings and content filtering

### OpenAI Codex Provider
- [ ] Create `providers/codex/` directory structure
- [ ] Implement `providers/codex/auth.py` with Codex CLI token authentication
- [ ] Create `providers/codex/models.py` with request/response models
- [ ] Implement `providers/codex/transforms.py` with message transformation
- [ ] Create `providers/codex/provider.py` extending `BaseUU`
- [ ] Implement ChatGPT backend API integration
- [ ] Add advanced reasoning capabilities (o1-style models)
- [ ] Implement tool calling with function definitions
- [ ] Add session token management and refresh

## Phase 3: LiteLLM Integration

### Provider Registration
- [ ] Create main `__init__.py` with provider exports
- [ ] Register all providers with LiteLLM's provider system
- [ ] Implement model name mapping (e.g., `uutel/claude-code/claude-3-5-sonnet`)
- [ ] Set up routing logic for different model prefixes
- [ ] Configure default settings and parameters
- [ ] Add provider discovery and validation

### Configuration Management
- [ ] Add environment variable support for authentication
- [ ] Implement configuration file support (YAML/JSON)
- [ ] Add runtime provider configuration
- [ ] Implement model-specific parameter handling
- [ ] Create configuration validation
- [ ] Add configuration documentation

### Testing and Validation
- [ ] Create `tests/conftest.py` with pytest configuration
- [ ] Write unit tests for each provider in separate test files
- [ ] Create integration tests with actual APIs
- [ ] Add performance benchmarking tests
- [ ] Implement error handling validation tests
- [ ] Add authentication flow tests

## Phase 4: Advanced Features

### Tool Calling Standardization
- [ ] Create unified function calling interface across providers
- [ ] Implement tool schema validation and conversion
- [ ] Add streaming tool responses
- [ ] Implement error handling for tool failures
- [ ] Add tool calling examples and documentation

### Caching and Performance
- [ ] Implement response caching with TTL
- [ ] Add request deduplication
- [ ] Implement connection pooling
- [ ] Add rate limiting and backoff
- [ ] Create performance monitoring

### Monitoring and Observability
- [ ] Implement request/response logging
- [ ] Add performance metrics collection
- [ ] Integrate cost tracking
- [ ] Create health check endpoints
- [ ] Add debugging and troubleshooting tools

## Package Setup and Distribution

### Project Structure
- [ ] Create proper `pyproject.toml` with dependencies
- [ ] Set up package metadata and versioning
- [ ] Create `requirements.txt` for development
- [ ] Add `requirements-dev.txt` for development dependencies
- [ ] Create `.gitignore` for Python projects
- [ ] Add `LICENSE` file (MIT)

### Dependencies
- [ ] Add core dependencies (litellm, httpx, aiohttp)
- [ ] Add authentication dependencies (google-auth, google-auth-oauthlib)
- [ ] Add validation dependencies (pydantic, pydantic-settings)
- [ ] Add CLI dependencies (typer, rich)
- [ ] Add logging dependencies (loguru)
- [ ] Add testing dependencies (pytest, pytest-asyncio, pytest-mock)

### Documentation
- [ ] Create comprehensive README.md
- [ ] Write API documentation for each provider
- [ ] Create authentication setup guides
- [ ] Add usage examples for each provider
- [ ] Write tool calling examples
- [ ] Create troubleshooting guides

### Examples
- [ ] Create `examples/basic_usage.py`
- [ ] Create `examples/streaming_example.py`
- [ ] Create `examples/tool_calling_example.py`
- [ ] Create `examples/auth_examples.py`
- [ ] Add provider-specific examples
- [ ] Create performance benchmarking examples

### CI/CD and Quality
- [ ] Set up GitHub Actions for testing
- [ ] Add automated testing on multiple Python versions
- [ ] Configure code quality checks (black, ruff, mypy)
- [ ] Add security scanning
- [ ] Set up automated PyPI publishing
- [ ] Create release automation

### Testing Infrastructure
- [ ] Set up test environment configuration
- [ ] Create mock servers for testing
- [ ] Add integration test configuration
- [ ] Create performance test setup
- [ ] Add continuous integration testing
- [ ] Set up test coverage reporting

## Documentation and Deployment

### Package Distribution
- [ ] Prepare for PyPI package publication
- [ ] Implement semantic versioning
- [ ] Create GitHub releases with changelog
- [ ] Build Docker image for containerized usage
- [ ] Add installation instructions

### API Documentation
- [ ] Document provider-specific configuration
- [ ] Write authentication setup guides
- [ ] Create usage examples for each provider
- [ ] Document tool calling examples
- [ ] Add configuration reference

### Integration Guides
- [ ] Write LiteLLM integration steps
- [ ] Create environment setup guide
- [ ] Provide configuration file examples
- [ ] Write troubleshooting guides
- [ ] Add migration guides

### Developer Documentation
- [ ] Write contributing guidelines
- [ ] Document code style standards
- [ ] Create testing procedures
- [ ] Document release process
- [ ] Add architecture documentation

## Validation and Quality Assurance

### Code Quality
- [ ] Achieve >90% test coverage
- [ ] Pass all linting checks (black, ruff, mypy)
- [ ] Validate type hints throughout codebase
- [ ] Ensure proper error handling
- [ ] Validate documentation completeness

### Performance Validation
- [ ] Ensure <200ms overhead per request
- [ ] Test support for 100+ concurrent requests
- [ ] Validate proper memory management
- [ ] Test efficient connection pooling
- [ ] Benchmark against direct provider APIs

### Integration Validation
- [ ] Test with actual provider APIs
- [ ] Validate authentication flows
- [ ] Test streaming responses
- [ ] Validate tool calling functionality
- [ ] Test error handling and recovery

### Security Validation
- [ ] Validate secure credential handling
- [ ] Test token refresh mechanisms
- [ ] Validate request/response encryption
- [ ] Test rate limiting effectiveness
- [ ] Perform security audit

## Future Enhancements (Optional)

### Additional Features
- [ ] Add response caching layer
- [ ] Implement load balancing
- [ ] Add failover mechanisms
- [ ] Create monitoring dashboard
- [ ] Add cost tracking and reporting

### Community Features
- [ ] Set up contribution guidelines
- [ ] Create plugin system for third-party providers
- [ ] Add community documentation
- [ ] Set up issue templates
- [ ] Create contribution recognition system

### Enterprise Features
- [ ] Add team management features
- [ ] Implement audit logging
- [ ] Add compliance features
- [ ] Create enterprise configuration options
- [ ] Add advanced monitoring and alerting