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my-pal-mcp-server/conf/custom_models.json
omryn-vera 4ae0344b14 feat: Update Claude model references from v3 to v4 (fixes issue #118) (#119) 
* feat: Update Claude model references from v3 to v4

- Update model configurations from claude-3-opus to claude-4-opus
- Update model configurations from claude-3-sonnet to claude-4-sonnet
- Maintain backward compatibility through existing aliases (opus, sonnet, claude)
- Update provider registry preferred models list
- Update all test cases and assertions to reflect new model names
- Update documentation and examples consistently across all files
- Add Claude 4 model support while preserving existing functionality

Files modified: 15 (config, docs, providers, tests, tools)
Pattern: Systematic claude-3-* → claude-4-* model reference migration

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* PR feedback: changed anthropic/claude-4-opus -> anthropic/claude-opus-4 and anthropic/claude-4-haiku -> anthropic/claude-3.5-haiku

* changed anthropic/claude-4-sonnet -> anthropic/claude-sonnet-4

* PR feedback removed specific model from test mock

* PR feedback removed base.py

---------

Co-authored-by: Omry Nachman <omry@wix.com>
Co-authored-by: Claude <noreply@anthropic.com>
2025-06-23 13:57:13 +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)",
"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,
"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-opus-4",
"aliases": ["opus", "claude-opus", "claude4-opus", "claude-4-opus"],
"context_window": 200000,
"supports_extended_thinking": false,
"supports_json_mode": false,
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 5.0,
"description": "Claude 4 Opus - Most capable Claude model with vision"
},
{
"model_name": "anthropic/claude-sonnet-4",
"aliases": ["sonnet", "claude-sonnet", "claude4-sonnet", "claude-4-sonnet", "claude"],
"context_window": 200000,
"supports_extended_thinking": false,
"supports_json_mode": false,
"supports_function_calling": false,
"supports_images": true,
"max_image_size_mb": 5.0,
"description": "Claude 4 Sonnet - Balanced performance with vision"
},
{
"model_name": "anthropic/claude-3.5-haiku",
"aliases": ["haiku", "claude-haiku", "claude3-haiku", "claude-3-haiku"],
"context_window": 200000,
"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,
"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", "flash-openrouter", "flash-2.5"],
"context_window": 1048576,
"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,
"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,
"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,
"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,
"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,
"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,
"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,
"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": ["o3-pro", "o3pro"],
"context_window": 200000,
"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,
"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/o4-mini-high",
"aliases": ["o4-mini-high", "o4mini-high", "o4minihigh", "o4minihi"],
"context_window": 200000,
"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 with high reasoning effort - enhanced for complex tasks with vision"
},
{
"model_name": "llama3.2",
"aliases": ["local-llama", "local", "llama3.2", "ollama-llama"],
"context_window": 128000,
"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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