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feat!: breaking change - OpenRouter models are now read from conf/openrouter_models.json while Custom / Self-hosted models are read from conf/custom_models.json

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feat: Azure OpenAI / Azure AI Foundry support. Models should be defined in conf/azure_models.json (or a custom path). See .env.example for environment variables or see readme. https://github.com/BeehiveInnovations/zen-mcp-server/issues/265

feat: OpenRouter / Custom Models / Azure can separately also use custom config paths now (see .env.example )

refactor: Model registry class made abstract, OpenRouter / Custom Provider / Azure OpenAI now subclass these

refactor: breaking change: `is_custom` property has been removed from model_capabilities.py (and thus custom_models.json) given each models are now read from separate configuration files
This commit is contained in:
Fahad
2025-10-04 21:10:56 +04:00
parent e91ed2a924
commit ff9a07a37a
40 changed files with 1651 additions and 852 deletions
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45
conf/azure_models.json Normal file
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@@ -0,0 +1,45 @@
{
"_README": {
"description": "Model metadata for Azure OpenAI / Azure AI Foundry-backed provider. The `models` definition can be copied from openrouter_models.json / custom_models.json",
"documentation": "https://github.com/BeehiveInnovations/zen-mcp-server/blob/main/docs/azure_models.md",
"usage": "Models listed here are exposed through Azure AI Foundry. Aliases are case-insensitive.",
"field_notes": "Matches providers/shared/model_capabilities.py.",
"field_descriptions": {
"model_name": "The model identifier e.g., 'gpt-4'",
"deployment": "Azure model deployment name",
"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",
"description": "Human-readable description of the model",
"intelligence_score": "1-20 human rating used as the primary signal for auto-mode model ordering"
}
},
"_example_models": [
{
"model_name": "gpt-4",
"deployment": "gpt-4",
"aliases": [
"gpt4"
],
"context_window": 128000,
"max_output_tokens": 16384,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"supports_temperature": false,
"temperature_constraint": "fixed",
"description": "GPT-4 (128K context, 16K output)",
"intelligence_score": 10
}
],
"models": []
}

368
conf/custom_models.json
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@@ -1,383 +1,26 @@
{
"_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"
],
"description": "Model metadata for local/self-hosted OpenAI-compatible endpoints (Custom provider).",
"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')"
],
"usage": "Each entry will be advertised by the Custom provider. Aliases are case-insensitive.",
"field_notes": "Matches providers/shared/model_capabilities.py.",
"field_descriptions": {
"model_name": "The model identifier - OpenRouter format (e.g., 'anthropic/claude-opus-4') or custom model name (e.g., 'llama3.2')",
"model_name": "The model identifier 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_extended_thinking": "Whether the model supports extended reasoning tokens",
"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",
"intelligence_score": "1-20 human rating used as the primary signal for auto-mode model ordering"
},
"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.",
"intelligence_score": 12
}
},
"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 Sonnet 4.5 - High-performance model with exceptional reasoning and efficiency",
"intelligence_score": 12
},
{
"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",
"intelligence_score": 14
},
{
"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 - Last generation high-performance model with exceptional reasoning and efficiency",
"intelligence_score": 10
},
{
"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",
"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": true,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"max_image_size_mb": 20.0,
"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": true,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"max_image_size_mb": 15.0,
"description": "Google's Gemini 2.5 Flash via OpenRouter with vision",
"intelligence_score": 10
},
{
"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)",
"intelligence_score": 11
},
{
"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)",
"intelligence_score": 9
},
{
"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)",
"intelligence_score": 15
},
{
"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)",
"intelligence_score": 9
},
{
"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",
"intelligence_score": 14
},
{
"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",
"intelligence_score": 12
},
{
"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",
"intelligence_score": 13
},
{
"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",
"intelligence_score": 15
},
{
"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",
"intelligence_score": 11
},
{
"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",
"intelligence_score": 16
},
{
"model_name": "openai/gpt-5-codex",
"aliases": [
"codex",
"gpt5codex"
],
"context_window": 400000,
"max_output_tokens": 128000,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"is_custom": false,
"description": "GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows",
"intelligence_score": 17
},
{
"model_name": "openai/gpt-5-mini",
"aliases": [
"gpt5mini"
],
"context_window": 400000,
"max_output_tokens": 128000,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"supports_temperature": true,
"temperature_constraint": "fixed",
"description": "GPT-5-mini (400K context, 128K output) - Efficient variant with reasoning support",
"intelligence_score": 10
},
{
"model_name": "openai/gpt-5-nano",
"aliases": [
"gpt5nano"
],
"context_window": 400000,
"max_output_tokens": 128000,
"supports_extended_thinking": false,
"supports_json_mode": true,
"supports_function_calling": false,
"supports_images": false,
"max_image_size_mb": 0.0,
"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",
"intelligence_score": 8
},
{
"model_name": "llama3.2",
"aliases": [
@@ -391,7 +34,6 @@
"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)",
"intelligence_score": 6
}

346
conf/openrouter_models.json Normal file
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@@ -0,0 +1,346 @@
{
"_README": {
"description": "Model metadata for OpenRouter-backed providers.",
"documentation": "https://github.com/BeehiveInnovations/zen-mcp-server/blob/main/docs/custom_models.md",
"usage": "Models listed here are exposed through OpenRouter. Aliases are case-insensitive.",
"field_notes": "Matches providers/shared/model_capabilities.py.",
"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",
"description": "Human-readable description of the model",
"intelligence_score": "1-20 human rating used as the primary signal for auto-mode model ordering"
}
},
"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 Sonnet 4.5 - High-performance model with exceptional reasoning and efficiency",
"intelligence_score": 12
},
{
"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",
"intelligence_score": 14
},
{
"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 - Last generation high-performance model with exceptional reasoning and efficiency",
"intelligence_score": 10
},
{
"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",
"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": true,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"max_image_size_mb": 20.0,
"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": true,
"supports_json_mode": true,
"supports_function_calling": true,
"supports_images": true,
"max_image_size_mb": 15.0,
"description": "Google's Gemini 2.5 Flash via OpenRouter with vision",
"intelligence_score": 10
},
{
"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)",
"intelligence_score": 11
},
{
"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)",
"intelligence_score": 9
},
{
"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)",
"intelligence_score": 15
},
{
"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)",
"intelligence_score": 9
},
{
"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",
"intelligence_score": 14
},
{
"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",
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}
]
}