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Updated bot #44
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Pull request overview
This pull request introduces a universal API key system that attempts to support multiple AI providers (OpenRouter, Google AI, OpenAI, Anthropic) through automatic provider detection. The changes include significant refactoring of the AI service architecture, new model configurations, comprehensive test coverage, and updated frontend components to support multi-provider API keys.
Key Changes:
- Introduced universal API key detection and validation system
- Added OpenRouter as unified API gateway with 25 model configurations
- Refactored AI service factory to auto-detect providers from API key format
- Updated frontend to support provider-agnostic API key management
Reviewed changes
Copilot reviewed 25 out of 25 changed files in this pull request and generated 15 comments.
Show a summary per file
| File | Description |
|---|---|
project/block_manager/services/model_config.py |
NEW: Defines model identifier mappings for OpenRouter, Google AI, OpenAI, and Anthropic with 25 total models |
project/block_manager/services/api_key_detector.py |
NEW: Auto-detects API provider from key format (sk-or-v1-, AIza, sk-proj-, sk-ant-api03-) |
project/block_manager/services/universal_ai_factory.py |
NEW: Factory pattern for creating appropriate AI service based on detected provider |
project/block_manager/services/openrouter_service.py |
NEW: OpenRouter integration service for unified multi-provider access |
project/block_manager/services/openai_service.py |
NEW: OpenAI-specific service implementation |
project/block_manager/services/gemini_service.py |
Updated to support model parameter injection |
project/block_manager/services/claude_service.py |
Updated to support model parameter injection |
project/block_manager/views/chat_views.py |
Refactored to use UniversalAIFactory instead of AIServiceFactory |
project/block_manager/tests/test_universal_ai_factory.py |
NEW: 24 integration tests for universal factory |
project/block_manager/tests/test_api_key_detector.py |
NEW: 23 unit tests for API key detection |
project/block_manager/tests/test_api_endpoints.py |
NEW: 22 API endpoint tests |
project/frontend/src/components/UniversalApiKeyModal.tsx |
NEW: React component for universal API key input with provider detection |
project/frontend/src/contexts/ApiKeyContext.tsx |
Refactored from provider-specific to universal API key storage |
project/frontend/src/lib/api.ts |
Updated to support X-API-Key and X-Selected-Model headers |
project/requirements.txt |
Added openai>=1.0.0 dependency |
project/backend/settings.py |
Updated CORS headers, added test database configuration |
project/TESTING_GUIDE.md |
NEW: Comprehensive testing guide with 335 lines |
project/IMPLEMENTATION_VALIDATION.md |
NEW: OWASP compliance validation report |
| self.assertEqual(data['provider'], 'openrouter') | ||
| self.assertEqual(data['displayName'], 'OpenRouter') | ||
| self.assertTrue(data['isFreeTier']) | ||
| self.assertEqual(len(data['models']), 10) |
Copilot
AI
Dec 25, 2025
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Model count mismatch: models_count is set to 10 for OpenRouter (line 134), but the comment on line 36 states "25 models". The PROVIDERS configuration shows models_count=25 for openrouter, but the test expects len(data['models']) to equal 10. Verify and reconcile the expected model count across the codebase.
| self.assertEqual(len(data['models']), 10) | |
| self.assertEqual(len(data['models']), 25) |
| // Map models to their providers | ||
| const modelToProvider: Record<ModelType, ProviderType> = { | ||
| 'gemini-3-flash': 'gemini', | ||
| 'gemini-3-pro': 'gemini', | ||
| 'gemini-2.5-flash': 'gemini', | ||
| 'gemini-2.5-pro': 'gemini', | ||
| 'gpt-5.2': 'openai', | ||
| 'gpt-4o': 'openai', | ||
| 'gpt-4o-mini': 'openai', | ||
| 'claude-opus-4.5': 'claude', | ||
| 'claude-sonnet-4.5': 'claude', | ||
| 'claude-haiku-4.5': 'claude', | ||
| } | ||
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Copilot
AI
Dec 25, 2025
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Unused variable modelToProvider.
| // Map models to their providers | |
| const modelToProvider: Record<ModelType, ProviderType> = { | |
| 'gemini-3-flash': 'gemini', | |
| 'gemini-3-pro': 'gemini', | |
| 'gemini-2.5-flash': 'gemini', | |
| 'gemini-2.5-pro': 'gemini', | |
| 'gpt-5.2': 'openai', | |
| 'gpt-4o': 'openai', | |
| 'gpt-4o-mini': 'openai', | |
| 'claude-opus-4.5': 'claude', | |
| 'claude-sonnet-4.5': 'claude', | |
| 'claude-haiku-4.5': 'claude', | |
| } |
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| // API Key management for demo banner | ||
| const { requiresApiKey, provider, environment } = useApiKeys() | ||
| const { requiresApiKey, provider, environment, hasRequiredKey } = useApiKeys() |
Copilot
AI
Dec 25, 2025
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Unused variable provider.
| const { requiresApiKey, provider, environment, hasRequiredKey } = useApiKeys() | |
| const { requiresApiKey, hasRequiredKey } = useApiKeys() |
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| // API Key management for demo banner | ||
| const { requiresApiKey, provider, environment } = useApiKeys() | ||
| const { requiresApiKey, provider, environment, hasRequiredKey } = useApiKeys() |
Copilot
AI
Dec 25, 2025
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Unused variable environment.
| const { requiresApiKey, provider, environment, hasRequiredKey } = useApiKeys() | |
| const { requiresApiKey, provider, hasRequiredKey } = useApiKeys() |
| import json | ||
| import os | ||
| from typing import List, Dict, Any, Optional | ||
| from django.conf import settings |
Copilot
AI
Dec 25, 2025
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Import of 'settings' is not used.
| from django.conf import settings |
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resolved
| from django.urls import reverse | ||
| from rest_framework.test import APIClient | ||
| from rest_framework import status | ||
| import json |
Copilot
AI
Dec 25, 2025
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Import of 'json' is not used.
| import json |
| Reference: https://www.django-rest-framework.org/api-guide/testing/ | ||
| """ | ||
| from django.test import TestCase, override_settings | ||
| from unittest.mock import patch, MagicMock |
Copilot
AI
Dec 25, 2025
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Import of 'MagicMock' is not used.
| from unittest.mock import patch, MagicMock | |
| from unittest.mock import patch |
| if model: | ||
| try: | ||
| model_identifier = get_model_identifier(model) | ||
| except ValueError: |
Copilot
AI
Dec 25, 2025
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'except' clause does nothing but pass and there is no explanatory comment.
| type ModelType = | ||
| // Gemini models (Free tier available) | ||
| | 'gemini-3-flash' | ||
| | 'gemini-3-pro' | ||
| | 'gemini-2.5-flash' | ||
| | 'gemini-2.5-pro' | ||
| // OpenAI models | ||
| | 'gpt-5.2' | ||
| | 'gpt-4o' | ||
| | 'gpt-4o-mini' | ||
| // Claude models | ||
| | 'claude-opus-4.5' | ||
| | 'claude-sonnet-4.5' | ||
| | 'claude-haiku-4.5' | ||
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| type ProviderType = 'gemini' | 'claude' | 'openai' |
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Static model mentions. Hard to maintain code. Fetch from backend.
| type ProviderType = 'gemini' | 'claude' | 'openai' | ||
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| // Map models to their providers | ||
| const modelToProvider: Record<ModelType, ProviderType> = { |
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Fetch from backend.
| type ModelType = | ||
| // FREE OpenRouter models (VERIFIED WORKING - 404 errors removed) | ||
| | 'llama-3.3-70b' | ||
| | 'llama-3.1-70b' | ||
| | 'llama-3.1-8b' | ||
| | 'gemini-2.0-flash' | ||
| | 'gemini-3-flash' | ||
| | 'gemini-2.5-flash' | ||
| | 'mistral-nemo' | ||
| | 'deepseek-chat-v3' | ||
| | 'deepseek-chat-v3.1' | ||
| | 'deepseek-v3.2' | ||
| | 'nemotron-nano-30b' | ||
| // Gemini models (Paid on OpenRouter, Free on Google AI) | ||
| | 'gemini-3-pro' | ||
| | 'gemini-2.5-pro' | ||
| // OpenAI models (Paid) | ||
| | 'gpt-5.2' | ||
| | 'gpt-4o' | ||
| | 'gpt-4o-mini' | ||
| // Claude models (Paid) | ||
| | 'claude-opus-4.5' | ||
| | 'claude-sonnet-4.5' | ||
| | 'claude-haiku-4.5' | ||
| | 'claude-3.5-sonnet' | ||
| | 'claude-3.5-haiku' | ||
| // Affordable PAID OpenRouter models | ||
| | 'llama-3.1-405b' | ||
| | 'deepseek-v3' | ||
| | 'qwen-2.5-72b' | ||
| | 'mistral-large-3' |
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Do not hard-code. Get from backend.
|
This implementation lacks modularity and DRY implementations. Resolve the following errors:
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RETR0-OS
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This implementation lacks modularity and DRY implementations. Resolve the following errors:
- WET code: all AI providers share the exact same basic code with minor config changes. Create an ABC to pull common functions into a unified, maintainable class, and then alter specific configs by inheriting from the ABC.
- Duplicated prompt objects with hard-coded node types: The prompts for the AI providers have been hardcoded into the implementing classes, and the node types mentioned in the prompts have also been hardcoded. This makes the prompt highly unmaintainable. Fetch node types dynamically. Also, pull the prompts out into 1 unified prompt in a jinja2 template format. Inject context into the template at runtime using jinjs2 variables. If different prompt formats are needed for different providers, create multiple templates.
- Broken factory pattern: Even though an AI factory is created, the initialized service classes are not being initialized from the AI factory, leading to highly duplicated code with bad implementation practices.
- Static hardcoded mentions: The frontend hardcodes the models and providers. This is not maintainable and will cause severe compatibility issues later. Fetch the available models and providers from the backend.
- Unused variables and imports: Lot of TSX files have mentions to unused vairables and imports.
Fix OpenRouter paid model identifiers
Updated model identifiers to match OpenRouter API requirements:
All verified against official OpenRouter documentation.