AI-Studio/app/MindWork AI Studio/Settings/ProviderExtensions.cs
2026-08-30 16:45:14 +02:00

87 lines
4.3 KiB
C#

using AIStudio.Provider;
using AIStudio.Provider.HuggingFace;
namespace AIStudio.Settings;
public static partial class ProviderExtensions
{
/// <summary>
/// Get the capabilities of the model used by the configured provider.
/// </summary>
/// <param name="provider">The configured provider.</param>
/// <returns>The capabilities of the configured model.</returns>
public static List<Capability> GetModelCapabilities(this Provider provider)
{
var automaticCapabilities = provider.UsedLLMProvider.GetModelCapabilities(provider.Model);
return provider.CapabilityOverrides?.ApplyTo(automaticCapabilities) ?? automaticCapabilities;
}
/// <summary>
/// Get whether the model used by the configured provider accepts images as input.
/// </summary>
/// <remarks>
/// Two capabilities express image input, one for a single image and one for several. Anything that
/// wants to know whether an image may be sent has to accept both, which is why the question is asked
/// here instead of at each call site: attaching a file and validating an already attached file must
/// never disagree about it.
/// </remarks>
/// <param name="provider">The configured provider.</param>
/// <returns><c>true</c> when the model accepts image input.</returns>
public static bool SupportsImageInput(this Provider provider)
{
var capabilities = provider.GetModelCapabilities();
return capabilities.Contains(Capability.SINGLE_IMAGE_INPUT) || capabilities.Contains(Capability.MULTIPLE_IMAGE_INPUT);
}
/// <summary>
/// Get the capabilities of a model for a specific provider.
/// </summary>
/// <param name="provider">The LLM provider.</param>
/// <param name="model">The model to get the capabilities for.</param>
/// <returns>>The capabilities of the model.</returns>
public static List<Capability> GetModelCapabilities(this LLMProviders provider, Model model)
{
if (string.IsNullOrWhiteSpace(model.Id))
return [];
return provider switch
{
LLMProviders.OPEN_AI => GetModelCapabilitiesOpenAI(model),
LLMProviders.MISTRAL => GetModelCapabilitiesMistral(model),
LLMProviders.ANTHROPIC => GetModelCapabilitiesAnthropic(model),
LLMProviders.GOOGLE => GetModelCapabilitiesGoogle(model),
LLMProviders.X => GetModelCapabilitiesOpenSource(model),
LLMProviders.DEEP_SEEK => GetModelCapabilitiesDeepSeek(model),
LLMProviders.ALIBABA_CLOUD => GetModelCapabilitiesAlibaba(model),
LLMProviders.PERPLEXITY => GetModelCapabilitiesPerplexity(model),
LLMProviders.OPEN_ROUTER => GetModelCapabilitiesGateway(model),
LLMProviders.HETZNER or LLMProviders.IONOS => GetModelCapabilitiesOpenSource(model),
//
// LiteLLM is a gateway just like OpenRouter, and it names its models the same way:
// "vendor/model", e.g. "anthropic/claude-opus-5" or "azure/gpt-5.6". So we let the
// gateway detection handle it, which resolves the vendor prefix and asks the
// provider who really knows the model. Everything it cannot place is treated as
// an open source model, which is the right fallback for a freely named alias:
//
LLMProviders.LITE_LLM => GetModelCapabilitiesGateway(model),
LLMProviders.GROQ or LLMProviders.FIREWORKS => GetModelCapabilitiesOpenSource(model),
//
// Hugging Face names its models the way the hub does, "org/model", which is the same
// shape the other gateways use. So we let the gateway detection resolve the organization
// and ask the provider implementation which really knows the model. The routing suffix
// has to go first: it says which inference provider answers, not what the model is.
//
LLMProviders.HUGGINGFACE => GetModelCapabilitiesGateway(model.WithoutRoutingSuffix()),
LLMProviders.HELMHOLTZ => GetModelCapabilitiesOpenSource(model),
LLMProviders.GWDG => GetModelCapabilitiesOpenSource(model),
LLMProviders.SELF_HOSTED => GetModelCapabilitiesOpenSource(model),
_ => []
};
}
}