ff9a07a37a
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
23 lines
686 B
Python
23 lines
686 B
Python
"""Model provider abstractions for supporting multiple AI providers."""
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from .azure_openai import AzureOpenAIProvider
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from .base import ModelProvider
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from .gemini import GeminiModelProvider
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from .openai_compatible import OpenAICompatibleProvider
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from .openai_provider import OpenAIModelProvider
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from .openrouter import OpenRouterProvider
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from .registry import ModelProviderRegistry
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from .shared import ModelCapabilities, ModelResponse
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__all__ = [
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"ModelProvider",
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"ModelResponse",
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"ModelCapabilities",
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"ModelProviderRegistry",
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"AzureOpenAIProvider",
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"GeminiModelProvider",
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"OpenAIModelProvider",
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"OpenAICompatibleProvider",
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"OpenRouterProvider",
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]
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