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Fix for: https://github.com/BeehiveInnovations/zen-mcp-server/issues/101

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Fix for: https://github.com/BeehiveInnovations/zen-mcp-server/issues/102

- Removed centralized MODEL_CAPABILITIES_DESC from config.py
- Added model descriptions to individual provider SUPPORTED_MODELS
- Updated _get_available_models() to use ModelProviderRegistry for API key filtering
- Added comprehensive test suite validating bug reproduction and fix
This commit is contained in:
Fahad
2025-06-21 15:07:52 +04:00
parent d12094b536
commit 9079d06941
18 changed files with 445 additions and 338 deletions
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6
providers/openai_provider.py
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@@ -26,6 +26,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
"max_image_size_mb": 20.0, # 20MB per OpenAI docs
"supports_temperature": False, # O3 models don't accept temperature parameter
"temperature_constraint": "fixed", # Fixed at 1.0
"description": "Strong reasoning (200K context) - Logical problems, code generation, systematic analysis",
},
"o3-mini": {
"context_window": 200_000, # 200K tokens
@@ -34,6 +35,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
"max_image_size_mb": 20.0, # 20MB per OpenAI docs
"supports_temperature": False, # O3 models don't accept temperature parameter
"temperature_constraint": "fixed", # Fixed at 1.0
"description": "Fast O3 variant (200K context) - Balanced performance/speed, moderate complexity",
},
"o3-pro-2025-06-10": {
"context_window": 200_000, # 200K tokens
@@ -42,6 +44,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
"max_image_size_mb": 20.0, # 20MB per OpenAI docs
"supports_temperature": False, # O3 models don't accept temperature parameter
"temperature_constraint": "fixed", # Fixed at 1.0
"description": "Professional-grade reasoning (200K context) - EXTREMELY EXPENSIVE: Only for the most complex problems requiring universe-scale complexity analysis OR when the user explicitly asks for this model. Use sparingly for critical architectural decisions or exceptionally complex debugging that other models cannot handle.",
},
# Aliases
"o3-pro": "o3-pro-2025-06-10",
@@ -52,6 +55,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
"max_image_size_mb": 20.0, # 20MB per OpenAI docs
"supports_temperature": False, # O4 models don't accept temperature parameter
"temperature_constraint": "fixed", # Fixed at 1.0
"description": "Latest reasoning model (200K context) - Optimized for shorter contexts, rapid reasoning",
},
"o4-mini-high": {
"context_window": 200_000, # 200K tokens
@@ -60,6 +64,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
"max_image_size_mb": 20.0, # 20MB per OpenAI docs
"supports_temperature": False, # O4 models don't accept temperature parameter
"temperature_constraint": "fixed", # Fixed at 1.0
"description": "Enhanced O4 mini (200K context) - Higher reasoning effort for complex tasks",
},
"gpt-4.1-2025-04-14": {
"context_window": 1_000_000, # 1M tokens
@@ -68,6 +73,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
"max_image_size_mb": 20.0, # 20MB per OpenAI docs
"supports_temperature": True, # Regular models accept temperature parameter
"temperature_constraint": "range", # 0.0-2.0 range
"description": "GPT-4.1 (1M context) - Advanced reasoning model with large context window",
},
# Shorthands
"mini": "o4-mini", # Default 'mini' to latest mini model