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.kiro/specs/api-integrations/design.md

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.kiro/specs/api-integrations/requirements.md

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## Introduction
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This feature focuses on creating robust API integrations with the AI services that were recently added to the platform. The goal is to establish reliable, scalable, and maintainable connections to multiple AI providers (OpenAI, Gemini, Mistral, DeepSeek, and Ditectrev) for delivering AI-powered explanations to users. The integrations should handle authentication, rate limiting, error handling, and provide a consistent interface regardless of the underlying provider.
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This feature focuses on enhancing the existing AI provider system to make direct API calls to external AI services (OpenAI, Gemini, Mistral, DeepSeek) while maintaining the current simple architecture. The goal is to replace the current proxy API routes with direct provider calls, add basic error handling and validation, while keeping the system lightweight and maintainable.
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## Requirements
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### Requirement 1
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**User Story:** As a platform administrator, I want standardized API client configurations for all AI providers, so that I can easily manage and maintain connections to different services.
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**User Story:** As a developer, I want to make direct API calls to AI providers instead of going through proxy routes, so that I can reduce complexity and improve performance.
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#### Acceptance Criteria
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1. WHEN the system initializes THEN it SHALL load configuration for all supported AI providers (OpenAI, Gemini, Mistral, DeepSeek, Ditectrev)
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2. WHEN an API key is provided for a provider THEN the system SHALL validate the key format before making requests
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3. WHEN a provider configuration is missing required fields THEN the system SHALL log an error and disable that provider
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4. IF a provider becomes unavailable THEN the system SHALL automatically failover to the next available provider
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1. WHEN calling OpenAI THEN the system SHALL make direct calls to OpenAI's API using the provided API key
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2. WHEN calling Gemini THEN the system SHALL make direct calls to Google's Gemini API using the provided API key
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3. WHEN calling Mistral THEN the system SHALL make direct calls to Mistral's API using the provided API key
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4. WHEN calling DeepSeek THEN the system SHALL make direct calls to DeepSeek's API using the provided API key
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### Requirement 2
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**User Story:** As a developer, I want a unified API client interface, so that I can interact with different AI providers using consistent methods.
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**User Story:** As a developer, I want basic input validation and error handling, so that the system fails gracefully with clear error messages.
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#### Acceptance Criteria
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1. WHEN making a request to any AI provider THEN the system SHALL use a standardized request/response format
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2. WHEN a provider returns data THEN the system SHALL normalize the response to a common schema
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3. WHEN switching between providers THEN the application logic SHALL remain unchanged
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4. IF a provider has unique capabilities THEN the system SHALL expose them through optional parameters
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1. WHEN a question is empty THEN the system SHALL return a validation error
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2. WHEN no correct answers are provided THEN the system SHALL return a validation error
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3. WHEN an API key is invalid format THEN the system SHALL return an authentication error
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4. WHEN an API call fails THEN the system SHALL return a descriptive error message
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### Requirement 3
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**User Story:** As a user, I want reliable AI explanation generation, so that I always receive helpful content even if one service is down.
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**User Story:** As a developer, I want to maintain the existing simple provider interface, so that existing code continues to work without changes.
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#### Acceptance Criteria
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1. WHEN requesting an AI explanation THEN the system SHALL attempt to use the primary configured provider
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2. WHEN the primary provider fails THEN the system SHALL automatically retry with the next available provider
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3. WHEN all providers fail THEN the system SHALL return a graceful error message to the user
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4. WHEN a provider is slow to respond THEN the system SHALL timeout after a reasonable duration and try the next provider
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1. WHEN using the existing AIProvider interface THEN all current functionality SHALL continue to work
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2. WHEN calling generateExplanation THEN the method signature SHALL remain the same
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3. WHEN getting a provider by name THEN the factory function SHALL continue to work
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4. WHEN checking provider availability THEN the existing function SHALL continue to work
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### Requirement 4
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**User Story:** As a platform administrator, I want comprehensive error handling and logging, so that I can monitor API health and troubleshoot issues effectively.
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**User Story:** As a developer, I want proper API key validation, so that I can catch configuration issues early.
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#### Acceptance Criteria
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1. WHEN an API request fails THEN the system SHALL log the error with provider name, request details, and error message
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2. WHEN rate limits are exceeded THEN the system SHALL implement exponential backoff and retry logic
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3. WHEN authentication fails THEN the system SHALL log the failure and disable the provider temporarily
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4. IF network connectivity issues occur THEN the system SHALL distinguish between temporary and permanent failures
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1. WHEN an OpenAI API key is provided THEN the system SHALL validate it starts with 'sk-' and has reasonable length
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2. WHEN a Gemini API key is provided THEN the system SHALL validate it has reasonable length
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3. WHEN a Mistral API key is provided THEN the system SHALL validate it has reasonable length
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4. WHEN a DeepSeek API key is provided THEN the system SHALL validate it has reasonable length
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### Requirement 5
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**User Story:** As a developer, I want proper request/response validation, so that the system handles malformed data gracefully and maintains data integrity.
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**User Story:** As a developer, I want to check if providers are available, so that I can handle offline scenarios gracefully.
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#### Acceptance Criteria
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1. WHEN sending requests to AI providers THEN the system SHALL validate all required parameters are present
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2. WHEN receiving responses from providers THEN the system SHALL validate the response structure matches expected schema
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3. WHEN validation fails THEN the system SHALL log the validation error and return a standardized error response
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4. IF response data is incomplete THEN the system SHALL handle partial responses appropriately
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1. WHEN checking Ollama availability THEN the system SHALL ping localhost:11434
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2. WHEN checking API-based providers THEN the system SHALL validate API keys are present
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3. WHEN a provider is unavailable THEN the system SHALL return false from availability check
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4. WHEN Ditectrev is checked THEN the system SHALL always return available (internal service)
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### Requirement 6
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**User Story:** As a platform administrator, I want configurable rate limiting and quota management, so that I can control API usage costs and prevent service abuse.
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#### Acceptance Criteria
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1. WHEN making API requests THEN the system SHALL respect configured rate limits for each provider
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2. WHEN approaching rate limits THEN the system SHALL implement queuing or throttling mechanisms
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3. WHEN quota limits are reached THEN the system SHALL switch to alternative providers or return appropriate messages
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4. IF usage patterns change THEN the system SHALL allow dynamic adjustment of rate limiting parameters
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### Requirement 7
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**User Story:** As a developer, I want comprehensive testing capabilities, so that I can verify API integrations work correctly across all providers.
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#### Acceptance Criteria
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1. WHEN running integration tests THEN the system SHALL test connectivity to all configured providers
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2. WHEN testing provider responses THEN the system SHALL verify response format and content quality
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3. WHEN testing error scenarios THEN the system SHALL simulate various failure conditions
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4. IF a provider changes their API THEN the tests SHALL detect breaking changes quickly
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# Implementation Plan
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- [x] 1. Set up enhanced provider interfaces and base classes
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- Create enhanced AIProvider interface with health monitoring and configuration validation methods
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- Implement BaseProviderAdapter abstract class with common functionality
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- Define standardized request/response models and error types
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- _Requirements: 2.1, 2.2, 5.1, 5.2_
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- [ ] 2. Implement core infrastructure components
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- [ ] 2.1 Create HTTP client with timeout and error handling
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- Write HttpClient class implementing the interface from lib/ai-providers/interfaces.ts
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- Add timeout handling, request/response transformation, and error standardization
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- _Requirements: 4.2, 3.2, 5.1_
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- [ ] 2.2 Implement retry strategy with exponential backoff
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- Code RetryStrategy class with configurable retry logic and backoff algorithms
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- Add jitter and maximum retry limits to prevent thundering herd
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- _Requirements: 4.2, 3.2_
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- [ ] 2.3 Build circuit breaker for fault tolerance
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- Code CircuitBreaker class with OPEN/CLOSED/HALF_OPEN states
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- Implement failure threshold detection and automatic recovery logic
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- _Requirements: 3.2, 4.1_
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- [ ]* 2.4 Write unit tests for infrastructure components
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- Create unit tests for HTTP client, retry strategy, and circuit breaker
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- Test error scenarios, timeout handling, and state transitions
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- _Requirements: 4.2, 3.2_
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- [ ] 3. Implement configuration management system
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- [ ] 3.1 Create configuration interfaces and loader
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- Write ProviderConfig interface extensions and configuration validation
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- Implement environment variable loading and configuration merging
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- _Requirements: 1.1, 1.2, 1.3_
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- [ ] 3.2 Build configuration manager with validation
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- Code ConfigurationManager class with provider config management
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- Implement API key validation, format checking, and runtime configuration updates
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- _Requirements: 1.2, 1.3_
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- [ ]* 3.3 Write unit tests for configuration management
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- Create unit tests for configuration loading, validation, and error scenarios
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- Test API key validation and environment variable handling
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- _Requirements: 1.1, 1.2, 1.3_
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- [ ] 4. Implement rate limiting and quota management
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- [ ] 4.1 Create rate limiter with multiple limit types
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- Write RateLimiter class supporting per-minute, per-hour, and per-day limits
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- Implement token bucket algorithm for burst handling and sliding window counters
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- _Requirements: 6.1, 6.2_
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- [ ] 4.2 Add quota tracking and provider switching logic
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- Code quota management with automatic provider switching when limits are reached
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- Implement usage tracking, limit enforcement, and graceful degradation
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- _Requirements: 6.3, 6.4_
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- [ ]* 4.3 Write unit tests for rate limiting
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- Create unit tests for rate limit enforcement, quota tracking, and provider switching
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- Test burst handling, sliding windows, and edge cases
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- _Requirements: 6.1, 6.2, 6.3_
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- [ ] 5. Build health monitoring system
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- [ ] 5.1 Implement provider health monitoring
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- Write HealthMonitor class with periodic health checks and availability detection
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- Code response time tracking, error rate calculation, and health status aggregation
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- _Requirements: 4.1, 4.4_
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- [ ] 5.2 Create metrics collection and storage
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- Implement MetricsCollector for performance metrics, error rates, and usage statistics
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- Code metrics aggregation, historical data management, and alerting thresholds
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- _Requirements: 4.1, 4.4_
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- [ ]* 5.3 Write unit tests for health monitoring
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- Create unit tests for health check logic, metrics collection, and alerting
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- Test failure detection, recovery scenarios, and metrics accuracy
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- _Requirements: 4.1, 4.4_
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- [ ] 6. Enhance existing provider implementations
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- [ ] 6.1 Upgrade OpenAI provider with new architecture
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- Refactor OpenAI provider to extend BaseProviderAdapter
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- Implement actual OpenAI API calls replacing mock responses
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- Add proper error handling and response transformation
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- _Requirements: 2.1, 2.2, 3.1, 5.1_
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- [ ] 6.2 Upgrade Gemini provider with new architecture
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- Refactor Gemini provider to extend BaseProviderAdapter
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- Implement actual Gemini API calls replacing mock responses
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- Add proper error handling and response transformation
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- _Requirements: 2.1, 2.2, 3.1, 5.1_
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- [ ] 6.3 Upgrade Mistral provider with new architecture
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- Refactor Mistral provider to extend BaseProviderAdapter
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- Implement actual Mistral API calls replacing mock responses
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- Add proper error handling and response transformation
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- _Requirements: 2.1, 2.2, 3.1, 5.1_
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- [ ] 6.4 Upgrade DeepSeek provider with new architecture
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- Refactor DeepSeek provider to extend BaseProviderAdapter
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- Implement actual DeepSeek API calls replacing mock responses
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- Add proper error handling and response transformation
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- _Requirements: 2.1, 2.2, 3.1, 5.1_
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- [ ] 6.5 Upgrade Ditectrev provider with subscription validation
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- Refactor Ditectrev provider to extend BaseProviderAdapter
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- Implement subscription validation and premium AI service integration
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- Add enhanced error handling for subscription-related errors
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- _Requirements: 2.1, 2.2, 3.1, 5.1_
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- [ ]* 6.6 Write integration tests for all providers
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- Create integration tests for each provider implementation
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- Test actual API connectivity and response handling
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- _Requirements: 7.1, 7.2_
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- [ ] 7. Create centralized AI service manager
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- [ ] 7.1 Implement provider registry and selection logic
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- Write ProviderRegistry class for managing available providers
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- Code intelligent provider selection based on health and priority
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- _Requirements: 1.4, 3.1, 3.2_
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- [ ] 7.2 Build AI service manager with failover capabilities
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- Code AIServiceManager class as central orchestrator
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- Implement automatic failover and provider switching logic
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- Add request routing and response standardization
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- _Requirements: 3.1, 3.2, 3.3_
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- [ ]* 7.3 Write unit tests for service manager
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- Create unit tests for provider selection and failover logic
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- Test request routing and error handling scenarios
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- _Requirements: 3.1, 3.2, 3.3_
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- [ ] 8. Add comprehensive error handling and logging
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- [ ] 8.1 Implement structured error handling system
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- Create APIError classes with proper error classification
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- Code error transformation and standardization logic
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- _Requirements: 4.1, 4.2, 4.3, 5.3_
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- [ ] 8.2 Add comprehensive logging and monitoring
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- Implement structured logging for all API interactions
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- Code performance metrics collection and error tracking
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- _Requirements: 4.1, 4.4_
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- [ ]* 8.3 Write unit tests for error handling
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- Create unit tests for error classification and handling
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- Test logging and monitoring functionality
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- _Requirements: 4.1, 4.2, 4.3_
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- [ ] 9. Create testing framework and utilities
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- [ ] 9.1 Build provider testing framework
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- Write ProviderTestSuite interface and implementation
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- Code automated testing for connectivity, authentication, and functionality
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- _Requirements: 7.1, 7.2, 7.3_
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- [ ] 9.2 Implement mock provider for testing
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- Create MockAIProvider with configurable behavior
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- Code test utilities for simulating various scenarios
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- _Requirements: 7.4_
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- [ ]* 9.3 Write comprehensive integration tests
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- Create end-to-end integration tests for the complete system
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- Test failover scenarios and error recovery
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- _Requirements: 7.1, 7.2, 7.3, 7.4_
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- [ ] 10. Update API routes and integrate new system
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- [ ] 10.1 Refactor existing API routes to use new service manager
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- Update all /api/ai/* routes to use AIServiceManager
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- Remove duplicate code and standardize response formats
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- _Requirements: 2.1, 2.2, 2.3_
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- [ ] 10.2 Add health check and monitoring endpoints
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- Create /api/health endpoint for system health monitoring
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- Implement /api/providers endpoint for provider status
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- _Requirements: 4.1, 4.4_
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- [ ]* 10.3 Write API integration tests
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- Create integration tests for all API endpoints
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- Test health monitoring and provider status endpoints
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- _Requirements: 7.1, 7.2_
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- [ ] 11. Add configuration and deployment support
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- [ ] 11.1 Create environment configuration templates
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- Write configuration files for different deployment environments
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- Document required environment variables and settings
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- _Requirements: 1.1, 1.2_
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- [ ] 11.2 Implement graceful startup and shutdown
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- Code initialization logic with proper dependency management
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- Implement graceful shutdown with cleanup procedures
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- _Requirements: 1.3, 1.4_
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- [ ]* 11.3 Write deployment and configuration tests
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- Create tests for configuration loading and validation
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- Test startup and shutdown procedures
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- _Requirements: 1.1, 1.2, 1.3_
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- [x] 1. Enhance existing provider interfaces
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- Add optional isAvailable() and validateConfig() methods to AIProvider interface
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- Create AIProviderError class for consistent error handling
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- Add basic validation and error handling to all existing providers
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- _Requirements: 2.1, 2.2, 3.1, 3.2_
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- [ ] 2. Implement direct OpenAI API integration
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- Replace proxy API call with direct OpenAI API call to https://api.openai.com/v1/chat/completions
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- Add proper request formatting for OpenAI's chat completions API
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- Implement OpenAI-specific error handling (rate limits, authentication, etc.)
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- _Requirements: 1.1, 2.1, 4.1_
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- [ ] 3. Implement direct Gemini API integration
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- Replace proxy API call with direct Google Gemini API call
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- Add proper request formatting for Gemini's API structure
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- Implement Gemini-specific error handling and response parsing
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- _Requirements: 1.2, 2.2, 4.2_
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- [ ] 4. Implement direct Mistral API integration
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- Replace proxy API call with direct Mistral API call
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- Add proper request formatting for Mistral's API structure
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- Implement Mistral-specific error handling and response parsing
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- _Requirements: 1.3, 2.3, 4.3_
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- [ ] 5. Implement direct DeepSeek API integration
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- Replace proxy API call with direct DeepSeek API call
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- Add proper request formatting for DeepSeek's API structure
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- Implement DeepSeek-specific error handling and response parsing
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- _Requirements: 1.4, 2.4, 4.4_
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- [ ] 6. Test and validate all provider integrations
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- Test each provider with real API calls (using test API keys)
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- Validate error handling for common scenarios (invalid keys, rate limits, network errors)
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- Ensure backward compatibility with existing code
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- _Requirements: 3.1, 3.2, 3.3, 3.4_
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- [ ] 7. Update availability checking
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- Enhance checkProviderAvailability function to work with direct API calls
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- Add proper API key validation for each provider
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- Test Ollama connectivity checking
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- _Requirements: 5.1, 5.2, 5.3, 5.4_
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- [ ] 8. Remove proxy API routes (optional cleanup)
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- Remove /api/ai/openai, /api/ai/gemini, /api/ai/mistral, /api/ai/deepseek routes
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- Update any remaining code that might reference these routes
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- Clean up unused API route files
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- _Requirements: 1.1, 1.2, 1.3, 1.4_

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