Replaced the anonymous request shapes of the providers with records

app/MindWork AI Studio/Provider/Anthropic/AnthropicMessageStreamAccumulator.cs

@@ -152,9 +152,9 @@ public sealed class AnthropicMessageStreamAccumulator
             this.unparsableToolArguments[builder.ToolUseId] = builder.UnparsableToolArguments;
     }
     
-    private static JsonElement EmptyTextBlock() => JsonSerializer.SerializeToElement(new
+    private static JsonElement EmptyTextBlock()
     {
-        type = "text",
-        text = string.Empty,
-    });
+        using var document = JsonDocument.Parse("""{"type":"text","text":""}""");
+        return document.RootElement.Clone();
+    }
 }

app/MindWork AI Studio/Provider/BaseProvider.cs

@@ -1377,7 +1377,7 @@ public abstract class BaseProvider : IProvider, ISecretId
             if (runnableTools.Count > 0)
             {
                 var adapter = new ChatCompletionToolCallingAdapter<TRequest>(requestFactory, systemPrompt, apiParameters,
-                    runnableTools.Select(x => ProviderToolAdapters.ToChatCompletionTool(x.Definition, enforcesStrictToolSchemas)).ToList(), mayAskForSequentialToolCalls, runnableTools,
+                    runnableTools.Select(x => (object)ProviderToolAdapters.ToChatCompletionTool(x.Definition, enforcesStrictToolSchemas)).ToList(), mayAskForSequentialToolCalls, runnableTools,
                     (requestDto, requestToken) => this.StreamChatCompletionRequest(requestDto, providerName, requestPath, requestedSecret, requestHeadersAction, requestToken),
                     ChatCompletionSourceReader.Read<TDelta, TAnnotation>,
                     this.logger);
@@ -1662,13 +1662,7 @@ public abstract class BaseProvider : IProvider, ISecretId
                 modelName = "placeholder";
             
             // Prepare the HTTP embedding request:
-            var payload = new
-            {
-                model = modelName,
-                input = texts,
-                encoding_format = "float"
-            };
-            
+            var payload = new EmbeddingRequest(modelName, texts);
             var embeddingRequest = JsonSerializer.Serialize(payload, JSON_SERIALIZER_OPTIONS);
             using var request = new HttpRequestMessage(HttpMethod.Post, host.EmbeddingURL());
 

app/MindWork AI Studio/Provider/EmbeddingRequest.cs

@@ -0,0 +1,14 @@
+namespace AIStudio.Provider;
+
+/// <summary>
+/// A request for embeddings, in the shape of the OpenAI API, which most providers take.
+/// </summary>
+/// <param name="Model">The name of the embedding model.</param>
+/// <param name="Input">The texts to embed.</param>
+public sealed record EmbeddingRequest(string Model, IList<string> Input)
+{
+    /// <summary>
+    /// Asks for the vectors as numbers, instead of as base64.
+    /// </summary>
+    public string EncodingFormat => "float";
+}

app/MindWork AI Studio/Provider/Google/GoogleEmbeddingContent.cs

@@ -0,0 +1,7 @@
+namespace AIStudio.Provider.Google;
+
+/// <summary>
+/// The content of a request for an embedding to the Gemini API.
+/// </summary>
+/// <param name="Parts">The texts, each of them as a part of its own.</param>
+public sealed record GoogleEmbeddingContent(IList<GoogleEmbeddingPart> Parts);

app/MindWork AI Studio/Provider/Google/GoogleEmbeddingPart.cs

@@ -0,0 +1,7 @@
+namespace AIStudio.Provider.Google;
+
+/// <summary>
+/// One text in a request for an embedding to the Gemini API.
+/// </summary>
+/// <param name="Text">The text to embed.</param>
+public sealed record GoogleEmbeddingPart(string Text);

app/MindWork AI Studio/Provider/Google/GoogleEmbeddingRequest.cs

@@ -0,0 +1,22 @@
+namespace AIStudio.Provider.Google;
+
+/// <summary>
+/// A request for an embedding to the Gemini API.
+/// </summary>
+/// <param name="Content">The texts to embed.</param>
+public sealed record GoogleEmbeddingRequest(GoogleEmbeddingContent Content)
+{
+    /// <summary>
+    /// Asks for vectors which tell how similar texts are.
+    /// </summary>
+    /// <remarks>
+    /// Written as task_type, like every other field of our requests. The API reads both its field names in
+    /// snake case and in camel case.
+    /// </remarks>
+    public string TaskType => "SEMANTIC_SIMILARITY";
+
+    /// <summary>
+    /// Creates the request for the given texts, each of them as a part of its own.
+    /// </summary>
+    public static GoogleEmbeddingRequest Of(IEnumerable<string> texts) => new(new GoogleEmbeddingContent([..texts.Select(text => new GoogleEmbeddingPart(text))]));
+}

app/MindWork AI Studio/Provider/Google/ProviderGoogle.cs

@@ -92,16 +92,7 @@ public class ProviderGoogle() : BaseProvider(LLMProviders.GOOGLE, new Uri("https
             }
             
             // Prepare the Google Gemini embedding request:
-            var payload = new
-            {
-                content = new
-                {
-                    parts = texts.Select(text => new { text }).ToArray()
-                },
-                
-                taskType = "SEMANTIC_SIMILARITY"
-            };
-            
+            var payload = GoogleEmbeddingRequest.Of(texts);
             var embeddingRequest = JsonSerializer.Serialize(payload, JSON_SERIALIZER_OPTIONS);
             var embedUrl = $"https://generativelanguage.googleapis.com/v1beta/models/{modelName}:embedContent";
             using var request = new HttpRequestMessage(HttpMethod.Post, embedUrl);

app/MindWork AI Studio/Provider/OpenAI/ChatCompletionFunctionDeclaration.cs

@@ -0,0 +1,17 @@
+using System.Text.Json;
+
+namespace AIStudio.Provider.OpenAI;
+
+/// <summary>
+/// The function a tool of a Chat Completions compatible API offers to the model.
+/// </summary>
+public sealed record ChatCompletionFunctionDeclaration
+{
+    public string Name { get; init; } = string.Empty;
+
+    public string Description { get; init; } = string.Empty;
+
+    public JsonElement Parameters { get; init; }
+
+    public bool Strict { get; init; }
+}

app/MindWork AI Studio/Provider/OpenAI/ChatCompletionFunctionTool.cs

@@ -0,0 +1,11 @@
+namespace AIStudio.Provider.OpenAI;
+
+/// <summary>
+/// The function tool definition shape expected by Chat Completions compatible APIs, with the function nested.
+/// </summary>
+public sealed record ChatCompletionFunctionTool
+{
+    public string Type { get; init; } = "function";
+
+    public ChatCompletionFunctionDeclaration Function { get; init; } = new();
+}

app/MindWork AI Studio/Provider/ProviderToolAdapters.cs

@@ -24,19 +24,18 @@ public static class ProviderToolAdapters
     /// </summary>
     /// <param name="definition">The tool to describe.</param>
     /// <param name="hostEnforcesStrict">Whether the host binds the model's tool calls to a strict schema. Only then is the tool sent in strict mode.</param>
-    public static object ToChatCompletionTool(ToolDefinition definition, bool hostEnforcesStrict)
+    public static ChatCompletionFunctionTool ToChatCompletionTool(ToolDefinition definition, bool hostEnforcesStrict)
     {
         var isStrict = definition.Function.Strict && hostEnforcesStrict;
-        return new
+        return new()
         {
-            type = "function",
-            function = new
+            Function = new()
             {
-                name = definition.Function.Name,
-                description = definition.Function.DescriptionForLLM,
-                parameters = ToOpenAIParameters(definition, isStrict),
-                strict = isStrict,
-            }
+                Name = definition.Function.Name,
+                Description = definition.Function.DescriptionForLLM,
+                Parameters = ToOpenAIParameters(definition, isStrict),
+                Strict = isStrict,
+            },
         };
     }
 

app/Tests/Serialization/Fixtures/embedding-request.json

@@ -0,0 +1 @@
+{"model":"embedding-model","input":["The first text.","The second text."],"encoding_format":"float"}

app/Tests/Serialization/Fixtures/google-embedding-request.json

@@ -0,0 +1 @@
+{"content":{"parts":[{"text":"The first text."},{"text":"The second text."}]},"task_type":"SEMANTIC_SIMILARITY"}

app/Tests/Serialization/JsonGoldenRequestTests.cs

@@ -22,6 +22,8 @@ public sealed class JsonGoldenRequestTests
         yield return new("chat-completion-request.json", JsonSampleRequests.ChatCompletion, ProviderJsonOptions.OPTIONS);
         yield return new("responses-request.json", JsonSampleRequests.Responses, ProviderJsonOptions.OPTIONS);
         yield return new("anthropic-messages-request.json", () => JsonSampleRequests.Anthropic(), ProviderJsonOptions.OPTIONS);
+        yield return new("embedding-request.json", JsonSampleRequests.Embedding, ProviderJsonOptions.OPTIONS);
+        yield return new("google-embedding-request.json", JsonSampleRequests.GoogleEmbedding, ProviderJsonOptions.OPTIONS);
     }
 
     [TestCaseSource(nameof(GoldenRequests))]

app/Tests/Serialization/JsonSampleRequests.cs

@@ -2,6 +2,7 @@ using System.Text.Json;
 
 using AIStudio.Provider;
 using AIStudio.Provider.Anthropic;
+using AIStudio.Provider.Google;
 using AIStudio.Provider.OpenAI;
 using AIStudio.Tools.ToolCallingSystem;
 
@@ -91,6 +92,16 @@ public static class JsonSampleRequests
         AdditionalApiParameters = ApiParameters(),
     };
 
+    /// <summary>
+    /// A request for embeddings in the shape of the OpenAI API.
+    /// </summary>
+    public static EmbeddingRequest Embedding() => new("embedding-model", ["The first text.", "The second text."]);
+
+    /// <summary>
+    /// A request for an embedding to the Gemini API.
+    /// </summary>
+    public static GoogleEmbeddingRequest GoogleEmbedding() => GoogleEmbeddingRequest.Of(["The first text.", "The second text."]);
+
     private static List<IMessageBase> Messages() =>
     [
         new TextMessage("You answer briefly.", "system"),

app/Tests/Serialization/JsonTestRoots.Providers.cs

@@ -28,6 +28,8 @@ public static partial class JsonTestRoots
         yield return CaseWithNamespace(typeof(ChatCompletionAPIRequest), options);
         yield return CaseWithNamespace(typeof(ResponsesAPIRequest), options);
         yield return CaseWithNamespace(typeof(ChatRequest), options);
+        yield return CaseWithNamespace(typeof(EmbeddingRequest), options);
+        yield return CaseWithNamespace(typeof(GoogleEmbeddingRequest), options);
 
         //
         // The messages and their parts, which converters write as the type they are of:
@@ -43,7 +45,7 @@ public static partial class JsonTestRoots
         foreach (var type in new[] { typeof(string), typeof(int), typeof(long), typeof(double), typeof(decimal), typeof(bool), typeof(Dictionary<string, object>), typeof(List<object>), typeof(JsonElement) })
             yield return Case(new(type, options), "value of a request");
 
-        yield return Case(new(ProviderToolAdapters.ToChatCompletionTool(JsonSampleRequests.Tool(), hostEnforcesStrict: true).GetType(), options), "tool of a Chat Completions API");
+        yield return CaseWithNamespace(typeof(ChatCompletionFunctionTool), options);
         yield return CaseWithNamespace(typeof(ResponsesFunctionTool), options);
         yield return CaseWithNamespace(typeof(ResponsesFunctionCallOutputItem), options);
     }