Add support for ollama (#34)

app/MindWork AI Studio/Provider/SelfHosted/Host.cs

@@ -0,0 +1,42 @@
+namespace AIStudio.Provider.SelfHosted;
+
+public enum Host
+{
+    NONE,
+
+    LM_STUDIO,
+    LLAMACPP,
+    OLLAMA,
+}
+
+public static class HostExtensions
+{
+    public static string Name(this Host host) => host switch
+    {
+        Host.NONE => "None",
+
+        Host.LM_STUDIO => "LM Studio",
+        Host.LLAMACPP => "llama.cpp",
+        Host.OLLAMA => "ollama",
+
+        _ => "Unknown",
+    };
+
+    public static string BaseURL(this Host host) => host switch
+    {
+        Host.LM_STUDIO => "/v1/",
+        Host.LLAMACPP => "/v1/",
+        Host.OLLAMA => "/v1/",
+
+        _ => "/v1/",
+    };
+
+    public static string ChatURL(this Host host) => host switch
+    {
+        Host.LM_STUDIO => "chat/completions",
+        Host.LLAMACPP => "chat/completions",
+        Host.OLLAMA => "chat/completions",
+
+        _ => "chat/completions",
+    };
+}

app/MindWork AI Studio/Provider/SelfHosted/ProviderSelfHosted.cs

@@ -8,7 +8,7 @@ using AIStudio.Settings;
 
 namespace AIStudio.Provider.SelfHosted;
 
-public sealed class ProviderSelfHosted(string hostname) : BaseProvider($"{hostname}/v1/"), IProvider
+public sealed class ProviderSelfHosted(Settings.Provider provider) : BaseProvider($"{provider.Hostname}{provider.Host.BaseURL()}"), IProvider
 {
     private static readonly JsonSerializerOptions JSON_SERIALIZER_OPTIONS = new()
     {
@@ -33,7 +33,7 @@ public sealed class ProviderSelfHosted(string hostname) : BaseProvider($"{hostna
         // Prepare the OpenAI HTTP chat request:
         var providerChatRequest = JsonSerializer.Serialize(new ChatRequest
         {
-            Model = (await this.GetTextModels(jsRuntime, settings, token: token)).First().Id,
+            Model = chatModel.Id,
             
             // Build the messages:
             // - First of all the system prompt
@@ -62,7 +62,7 @@ public sealed class ProviderSelfHosted(string hostname) : BaseProvider($"{hostna
         }, JSON_SERIALIZER_OPTIONS);
 
         // Build the HTTP post request:
-        var request = new HttpRequestMessage(HttpMethod.Post, "chat/completions");
+        var request = new HttpRequestMessage(HttpMethod.Post, provider.Host.ChatURL());
         
         // Set the content:
         request.Content = new StringContent(providerChatRequest, Encoding.UTF8, "application/json");
@@ -137,17 +137,33 @@ public sealed class ProviderSelfHosted(string hostname) : BaseProvider($"{hostna
 
     public async Task<IEnumerable<Provider.Model>> GetTextModels(IJSRuntime jsRuntime, SettingsManager settings, string? apiKeyProvisional = null, CancellationToken token = default)
     {
-        var request = new HttpRequestMessage(HttpMethod.Get, "models");
-        var response = await this.httpClient.SendAsync(request, token);
-        if(!response.IsSuccessStatusCode)
-            return [];
+        try
+        {
+            switch (provider.Host)
+            {
+                case Host.LLAMACPP:
+                    // Right now, llama.cpp only supports one model.
+                    // There is no API to list the model(s).
+                    return [ new Provider.Model("as configured by llama.cpp") ];
+            
+                case Host.LM_STUDIO:
+                case Host.OLLAMA:
+                    var lmStudioRequest = new HttpRequestMessage(HttpMethod.Get, "models");
+                    var lmStudioResponse = await this.httpClient.SendAsync(lmStudioRequest, token);
+                    if(!lmStudioResponse.IsSuccessStatusCode)
+                        return [];
 
-        var modelResponse = await response.Content.ReadFromJsonAsync<ModelsResponse>(token);
-        if (modelResponse.Data.Length > 1)
-            Console.WriteLine("Warning: multiple models found; using the first one.");
-        
-        var firstModel = modelResponse.Data.First();
-        return [ new Provider.Model(firstModel.Id) ];
+                    var lmStudioModelResponse = await lmStudioResponse.Content.ReadFromJsonAsync<ModelsResponse>(token);
+                    return lmStudioModelResponse.Data.Select(n => new Provider.Model(n.Id));
+            }
+
+            return [];
+        }
+        catch(Exception e)
+        {
+            Console.WriteLine($"Failed to load text models from self-hosted provider: {e.Message}");
+            return [];
+        }
     }
 
     #pragma warning disable CS1998 // Async method lacks 'await' operators and will run synchronously