torbjorn/my-pal-mcp-server
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

feat: added intelligence_score to the model capabilities schema; a 1-20 number that can be specified to influence the sort order of models presented to the CLI in auto selection mode

Browse Source 
fix: model definition re-introduced into the schema but intelligently and only a summary is generated per tool. Required to ensure CLI calls and uses the correct model
fix: removed `model` param from some tools where this wasn't needed
fix: fixed adherence to `*_ALLOWED_MODELS` by advertising only the allowed models to the CLI
fix: removed duplicates across providers when passing canonical names back to the CLI; the first enabled provider wins
This commit is contained in:
Fahad
2025-10-02 21:43:44 +04:00
parent e78fe35a1b
commit 6cab9e56fc
22 changed files with 525 additions and 110 deletions
Download Patch File Download Diff File Expand all files Collapse all files

71
conf/custom_models.json
View File

@@ -31,7 +31,8 @@
"supports_temperature": "Whether the model accepts temperature parameter in API calls (set to false for O3/O4 reasoning models)",
"temperature_constraint": "Type of temperature constraint: 'fixed' (fixed value), 'range' (continuous range), 'discrete' (specific values), or omit for default range",
"is_custom": "Set to true for models that should ONLY be used with custom API endpoints (Ollama, vLLM, etc.). False or omitted for OpenRouter/cloud models.",
"description": "Human-readable description of the model"
"description": "Human-readable description of the model",
"intelligence_score": "1-20 human rating used as the primary signal for auto-mode model ordering"
},
"example_custom_model": {
"model_name": "my-local-model",
@@ -46,7 +47,8 @@
"supports_temperature": true,
"temperature_constraint": "range",
"is_custom": true,
"description": "Example custom/local model for Ollama, vLLM, etc."
"description": "Example custom/local model for Ollama, vLLM, etc.",
"intelligence_score": 12
}
},
"models": [
@@ -63,7 +65,8 @@
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 5.0,
"description": "Claude Sonnet 4.5 - High-performance model with exceptional reasoning and efficiency"
"description": "Claude Sonnet 4.5 - High-performance model with exceptional reasoning and efficiency",
"intelligence_score": 12
},
{
"model_name": "anthropic/claude-opus-4.1",
@@ -75,7 +78,8 @@
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 5.0,
"description": "Claude Opus 4.1 - Our most capable and intelligent model yet"
"description": "Claude Opus 4.1 - Our most capable and intelligent model yet",
"intelligence_score": 14
},
{
"model_name": "anthropic/claude-sonnet-4.1",
@@ -87,7 +91,8 @@
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 5.0,
"description": "Claude Sonnet 4.1 - Last generation high-performance model with exceptional reasoning and efficiency"
"description": "Claude Sonnet 4.1 - Last generation high-performance model with exceptional reasoning and efficiency",
"intelligence_score": 10
},
{
"model_name": "anthropic/claude-3.5-haiku",
@@ -99,31 +104,34 @@
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 5.0,
"description": "Claude 3 Haiku - Fast and efficient with vision"
"description": "Claude 3 Haiku - Fast and efficient with vision",
"intelligence_score": 8
},
{
"model_name": "google/gemini-2.5-pro",
"aliases": ["pro","gemini-pro", "gemini", "pro-openrouter"],
"context_window": 1048576,
"max_output_tokens": 65536,
"supports_extended_thinking": false,
"supports_extended_thinking": true,
"supports_json_mode": true,
"supports_function_calling": false,
"supports_function_calling": true,
"supports_images": true,
"max_image_size_mb": 20.0,
"description": "Google's Gemini 2.5 Pro via OpenRouter with vision"
"description": "Google's Gemini 2.5 Pro via OpenRouter with vision",
"intelligence_score": 18
},
{
"model_name": "google/gemini-2.5-flash",
"aliases": ["flash","gemini-flash"],
"context_window": 1048576,
"max_output_tokens": 65536,
"supports_extended_thinking": false,
"supports_extended_thinking": true,
"supports_json_mode": true,
"supports_function_calling": false,
"supports_function_calling": true,
"supports_images": true,
"max_image_size_mb": 15.0,
"description": "Google's Gemini 2.5 Flash via OpenRouter with vision"
"description": "Google's Gemini 2.5 Flash via OpenRouter with vision",
"intelligence_score": 10
},
{
"model_name": "mistralai/mistral-large-2411",
@@ -135,7 +143,8 @@
"supports_function_calling": true,
"supports_images": false,
"max_image_size_mb": 0.0,
"description": "Mistral's largest model (text-only)"
"description": "Mistral's largest model (text-only)",
"intelligence_score": 11
},
{
"model_name": "meta-llama/llama-3-70b",
@@ -147,7 +156,8 @@
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"description": "Meta's Llama 3 70B model (text-only)"
"description": "Meta's Llama 3 70B model (text-only)",
"intelligence_score": 9
},
{
"model_name": "deepseek/deepseek-r1-0528",
@@ -159,7 +169,8 @@
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"description": "DeepSeek R1 with thinking mode - advanced reasoning capabilities (text-only)"
"description": "DeepSeek R1 with thinking mode - advanced reasoning capabilities (text-only)",
"intelligence_score": 15
},
{
"model_name": "perplexity/llama-3-sonar-large-32k-online",
@@ -171,7 +182,8 @@
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"description": "Perplexity's online model with web search (text-only)"
"description": "Perplexity's online model with web search (text-only)",
"intelligence_score": 9
},
{
"model_name": "openai/o3",
@@ -185,7 +197,8 @@
"max_image_size_mb": 20.0,
"supports_temperature": false,
"temperature_constraint": "fixed",
"description": "OpenAI's o3 model - well-rounded and powerful across domains with vision"
"description": "OpenAI's o3 model - well-rounded and powerful across domains with vision",
"intelligence_score": 14
},
{
"model_name": "openai/o3-mini",
@@ -199,7 +212,8 @@
"max_image_size_mb": 20.0,
"supports_temperature": false,
"temperature_constraint": "fixed",
"description": "OpenAI's o3-mini model - balanced performance and speed with vision"
"description": "OpenAI's o3-mini model - balanced performance and speed with vision",
"intelligence_score": 12
},
{
"model_name": "openai/o3-mini-high",
@@ -213,7 +227,8 @@
"max_image_size_mb": 20.0,
"supports_temperature": false,
"temperature_constraint": "fixed",
"description": "OpenAI's o3-mini with high reasoning effort - optimized for complex problems with vision"
"description": "OpenAI's o3-mini with high reasoning effort - optimized for complex problems with vision",
"intelligence_score": 13
},
{
"model_name": "openai/o3-pro",
@@ -227,7 +242,8 @@
"max_image_size_mb": 20.0,
"supports_temperature": false,
"temperature_constraint": "fixed",
"description": "OpenAI's o3-pro model - professional-grade reasoning and analysis with vision"
"description": "OpenAI's o3-pro model - professional-grade reasoning and analysis with vision",
"intelligence_score": 15
},
{
"model_name": "openai/o4-mini",
@@ -241,7 +257,8 @@
"max_image_size_mb": 20.0,
"supports_temperature": false,
"temperature_constraint": "fixed",
"description": "OpenAI's o4-mini model - optimized for shorter contexts with rapid reasoning and vision"
"description": "OpenAI's o4-mini model - optimized for shorter contexts with rapid reasoning and vision",
"intelligence_score": 11
},
{
"model_name": "openai/gpt-5",
@@ -255,7 +272,8 @@
"max_image_size_mb": 20.0,
"supports_temperature": true,
"temperature_constraint": "range",
"description": "GPT-5 (400K context, 128K output) - Advanced model with reasoning support"
"description": "GPT-5 (400K context, 128K output) - Advanced model with reasoning support",
"intelligence_score": 16
},
{
"model_name": "openai/gpt-5-mini",
@@ -269,7 +287,8 @@
"max_image_size_mb": 20.0,
"supports_temperature": true,
"temperature_constraint": "fixed",
"description": "GPT-5-mini (400K context, 128K output) - Efficient variant with reasoning support"
"description": "GPT-5-mini (400K context, 128K output) - Efficient variant with reasoning support",
"intelligence_score": 15
},
{
"model_name": "openai/gpt-5-nano",
@@ -283,7 +302,8 @@
"max_image_size_mb": 20.0,
"supports_temperature": true,
"temperature_constraint": "fixed",
"description": "GPT-5 nano (400K context, 128K output) - Fastest, cheapest version of GPT-5 for summarization and classification tasks"
"description": "GPT-5 nano (400K context, 128K output) - Fastest, cheapest version of GPT-5 for summarization and classification tasks",
"intelligence_score": 13
},
{
"model_name": "llama3.2",
@@ -296,7 +316,8 @@
"supports_images": false,
"max_image_size_mb": 0.0,
"is_custom": true,
"description": "Local Llama 3.2 model via custom endpoint (Ollama/vLLM) - 128K context window (text-only)"
"description": "Local Llama 3.2 model via custom endpoint (Ollama/vLLM) - 128K context window (text-only)",
"intelligence_score": 6
}
]
}