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my-pal-mcp-server/conf/custom_models.json
Fahad 95c4822af2 feat: add Claude Sonnet 4.5 and update alias configuration 
- Added anthropic/claude-sonnet-4.5 with sonnet and sonnet4.5 aliases
- Updated sonnet alias to point to newest Sonnet 4.5 (was 4.1)
- Kept sonnet4.1 alias for backwards compatibility with Claude Sonnet 4.1
- All tests updated and passing 100%
2025-10-01 19:57:52 +04:00

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{
"_README": {
"description": "Unified model configuration for multiple AI providers and endpoints, including OpenRouter",
"providers_supported": [
"OpenRouter - Access to GPT-4, Claude, Mistral, etc. via unified API",
"Custom API endpoints - Local models (Ollama, vLLM, LM Studio, etc.)",
"Self-hosted APIs - Any OpenAI-compatible endpoint"
],
"documentation": "https://github.com/BeehiveInnovations/zen-mcp-server/blob/main/docs/custom_models.md",
"usage": "Models can be accessed via aliases (e.g., 'opus', 'local-llama') or full names (e.g., 'anthropic/claude-opus-4', 'llama3.2')",
"instructions": [
"Add new models by copying an existing entry and modifying it",
"Aliases are case-insensitive and should be unique across all models",
"context_window is the model's total context window size in tokens (input + output)",
"Set supports_* flags based on the model's actual capabilities",
"Set is_custom=true for models that should ONLY work with custom endpoints (Ollama, vLLM, etc.)",
"Models not listed here will use generic defaults (32K context window, basic features)",
"For OpenRouter models: Use official OpenRouter model names (e.g., 'anthropic/claude-opus-4')",
"For local/custom models: Use model names as they appear in your API (e.g., 'llama3.2', 'gpt-3.5-turbo')"
],
"field_descriptions": {
"model_name": "The model identifier - OpenRouter format (e.g., 'anthropic/claude-opus-4') or custom model name (e.g., 'llama3.2')",
"aliases": "Array of short names users can type instead of the full model name",
"context_window": "Total number of tokens the model can process (input + output combined)",
"max_output_tokens": "Maximum number of tokens the model can generate in a single response",
"supports_extended_thinking": "Whether the model supports extended reasoning tokens (currently none do via OpenRouter or custom APIs)",
"supports_json_mode": "Whether the model can guarantee valid JSON output",
"supports_function_calling": "Whether the model supports function/tool calling",
"supports_images": "Whether the model can process images/visual input",
"max_image_size_mb": "Maximum total size in MB for all images combined (capped at 40MB max for custom models)",
"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"
},
"example_custom_model": {
"model_name": "my-local-model",
"aliases": ["shortname", "nickname", "abbrev"],
"context_window": 128000,
"max_output_tokens": 32768,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"max_image_size_mb": 10.0,
"supports_temperature": true,
"temperature_constraint": "range",
"is_custom": true,
"description": "Example custom/local model for Ollama, vLLM, etc."
}
},
"models": [
{
"model_name": "anthropic/claude-sonnet-4.5",
"aliases": [
"sonnet",
"sonnet4.5"
],
"context_window": 200000,
"max_output_tokens": 64000,
"supports_extended_thinking": false,
"supports_json_mode": false,
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 5.0,
"description": "Claude Opus 4.5 - Our most capable and intelligent model yet"
},
{
"model_name": "anthropic/claude-opus-4.1",
"aliases": ["opus", "claude-opus"],
"context_window": 200000,
"max_output_tokens": 64000,
"supports_extended_thinking": false,
"supports_json_mode": false,
"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"
},
{
"model_name": "anthropic/claude-sonnet-4.1",
"aliases": ["sonnet4.1"],
"context_window": 200000,
"max_output_tokens": 64000,
"supports_extended_thinking": false,
"supports_json_mode": false,
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 5.0,
"description": "Claude Sonnet 4.1 - High-performance model with exceptional reasoning and efficiency"
},
{
"model_name": "anthropic/claude-3.5-haiku",
"aliases": ["haiku"],
"context_window": 200000,
"max_output_tokens": 64000,
"supports_extended_thinking": false,
"supports_json_mode": false,
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 5.0,
"description": "Claude 3 Haiku - Fast and efficient with vision"
},
{
"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_json_mode": true,
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 20.0,
"description": "Google's Gemini 2.5 Pro via OpenRouter with vision"
},
{
"model_name": "google/gemini-2.5-flash",
"aliases": ["flash","gemini-flash"],
"context_window": 1048576,
"max_output_tokens": 65536,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 15.0,
"description": "Google's Gemini 2.5 Flash via OpenRouter with vision"
},
{
"model_name": "mistralai/mistral-large-2411",
"aliases": ["mistral-large", "mistral"],
"context_window": 128000,
"max_output_tokens": 32000,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": false,
"max_image_size_mb": 0.0,
"description": "Mistral's largest model (text-only)"
},
{
"model_name": "meta-llama/llama-3-70b",
"aliases": ["llama", "llama3", "llama3-70b", "llama-70b", "llama3-openrouter"],
"context_window": 8192,
"max_output_tokens": 8192,
"supports_extended_thinking": false,
"supports_json_mode": false,
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"description": "Meta's Llama 3 70B model (text-only)"
},
{
"model_name": "deepseek/deepseek-r1-0528",
"aliases": ["deepseek-r1", "deepseek", "r1", "deepseek-thinking"],
"context_window": 65536,
"max_output_tokens": 32768,
"supports_extended_thinking": true,
"supports_json_mode": true,
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"description": "DeepSeek R1 with thinking mode - advanced reasoning capabilities (text-only)"
},
{
"model_name": "perplexity/llama-3-sonar-large-32k-online",
"aliases": ["perplexity", "sonar", "perplexity-online"],
"context_window": 32768,
"max_output_tokens": 32768,
"supports_extended_thinking": false,
"supports_json_mode": false,
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"description": "Perplexity's online model with web search (text-only)"
},
{
"model_name": "openai/o3",
"aliases": ["o3"],
"context_window": 200000,
"max_output_tokens": 100000,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"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"
},
{
"model_name": "openai/o3-mini",
"aliases": ["o3-mini", "o3mini"],
"context_window": 200000,
"max_output_tokens": 100000,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"max_image_size_mb": 20.0,
"supports_temperature": false,
"temperature_constraint": "fixed",
"description": "OpenAI's o3-mini model - balanced performance and speed with vision"
},
{
"model_name": "openai/o3-mini-high",
"aliases": ["o3-mini-high", "o3mini-high"],
"context_window": 200000,
"max_output_tokens": 100000,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"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"
},
{
"model_name": "openai/o3-pro",
"aliases": ["o3pro"],
"context_window": 200000,
"max_output_tokens": 100000,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"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"
},
{
"model_name": "openai/o4-mini",
"aliases": ["o4-mini", "o4mini"],
"context_window": 200000,
"max_output_tokens": 100000,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"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"
},
{
"model_name": "openai/gpt-5",
"aliases": ["gpt5"],
"context_window": 400000,
"max_output_tokens": 128000,
"supports_extended_thinking": true,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"max_image_size_mb": 20.0,
"supports_temperature": true,
"temperature_constraint": "range",
"description": "GPT-5 (400K context, 128K output) - Advanced model with reasoning support"
},
{
"model_name": "openai/gpt-5-mini",
"aliases": ["gpt5mini"],
"context_window": 400000,
"max_output_tokens": 128000,
"supports_extended_thinking": true,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"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"
},
{
"model_name": "openai/gpt-5-nano",
"aliases": ["gpt5nano"],
"context_window": 400000,
"max_output_tokens": 128000,
"supports_extended_thinking": true,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"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"
},
{
"model_name": "llama3.2",
"aliases": ["local-llama", "ollama-llama"],
"context_window": 128000,
"max_output_tokens": 64000,
"supports_extended_thinking": false,
"supports_json_mode": false,
"supports_function_calling": false,
"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)"
}
]
}
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