Moved the rest of the model JsonPropertyNames to constants for consistency

src/Chat.cs

@@ -248,7 +248,7 @@ public IAsyncEnumerable<string> SendAsync(string message, IEnumerable<Tool>? too
 	/// An <see cref="IAsyncEnumerable{T}"/> of strings representing the streamed response from the server.
 	/// </returns>
 	/// <example>
-	/// Example usage of the <see cref="SendAsAsync"/> method:
+	/// Example usage of the <see cref="SendAsAsync(string, string)"/> method:
 	/// <code>
 	/// var client = new OllamaApiClient("http://localhost:11434", "llama3.2-vision:latest");
 	/// var chat = new Chat(client);

src/Constants/Application.cs

@@ -6,6 +6,7 @@ namespace OllamaSharp.Constants;
 internal static class Application
 {
 	public const string Ollama = "ollama";
+
 	public const string KeepAlive = "keep_alive";
 	public const string Truncate = "truncate";
 	public const string LoadDuration = "load_duration";
@@ -16,22 +17,88 @@ internal static class Application
 	public const string EvalCount = "eval_count";
 	public const string Context = "context";
 	public const string Done = "done";
+	public const string DoneReason = "done_reason";
 	public const string Response = "response";
 	public const string CreatedAt = "created_at";
 	public const string Model = "model";
-
+	public const string Models = "models";
+	public const string Name = "name";
+	public const string Size = "size";
+	public const string Format = "format";
+	public const string Images = "images";
+	public const string Template = "template";
+	public const string ModifiedAt = "modified_at";
+	public const string ModelFile = "modelfile";
+	public const string Path = "path";
+	public const string Stream = "stream";
+	public const string Quantize = "quantize";
+	public const string Status = "status";
+	public const string Input = "input";
+	public const string Prompt = "prompt";
+	public const string Suffix = "suffix";
+	public const string Options = "options";
+	public const string Source = "source";
+	public const string Destination = "destination";
 	public const string Assistant = "assistant";
 	public const string System = "system";
 	public const string User = "user";
 	public const string Tool = "tool";
-
 	public const string Length = "length";
 	public const string Stop = "stop";
-
 	public const string Object = "object";
 	public const string Function = "function";
-
 	public const string Json = "json";
-
 	public const string NotApplicable = "n/a";
+	public const string Raw = "raw";
+	public const string Digest = "digest";
+	public const string Details = "details";
+	public const string ParentModel = "parent_model";
+	public const string Family = "family";
+	public const string Families = "families";
+	public const string QuantizationLevel = "quantization_level";
+	public const string SizeVram = "size_vram";
+	public const string ExpiresAt = "expires_at";
+	public const string MiroStat = "mirostat";
+	public const string MiroStatEta = "mirostat_eta";
+	public const string MiroStatTau = "mirostat_tau";
+	public const string NumCtx = "num_ctx";
+	public const string NumGqa = "num_gqa";
+	public const string NumGpu = "num_gpu";
+	public const string MainGpu = "main_gpu";
+	public const string NumBatch = "num_batch";
+	public const string NumThread = "num_thread";
+	public const string NumKeep = "num_keep";
+	public const string RepeatLastN = "repeat_last_n";
+	public const string RepeatPenalty = "repeat_penalty";
+	public const string PresencePenalty = "presence_penalty";
+	public const string FrequencyPenalty = "frequency_penalty";
+	public const string Temperature = "temperature";
+	public const string Seed = "seed";
+	public const string TfsZ = "tfs_z";
+	public const string NumPredict = "num_predict";
+	public const string TopK = "top_k";
+	public const string TopP = "top_p";
+	public const string MinP = "min_p";
+	public const string TypicalP = "typical_p";
+	public const string PenalizeNewline = "penalize_newline";
+	public const string UseMmap = "use_mmap";
+	public const string UseMlock = "use_mlock";
+	public const string LowVram = "low_vram";
+	public const string F16kv = "f16_kv";
+	public const string LogitsAll = "logits_all";
+	public const string VocabOnly = "vocab_only";
+	public const string Numa = "numa";
+	public const string License = "license";
+	public const string Parameters = "parameters";
+	public const string ModelInfo = "model_info";
+	public const string Projector = "projector_info";
+	public const string GeneralArchitecture = "general.architecture";
+	public const string GeneralFileType = "general.file_type";
+	public const string GeneralParameterCount = "general.parameter_count";
+	public const string GeneralQuantizationVersion = "general.quantization_version";
+	public const string Insecure = "insecure";
+	public const string Total = "total";
+	public const string Completed = "completed";
+	public const string Embeddings = "embeddings";
+	public const string ParameterSize = "parameter_size";
 }

src/MicrosoftAi/AbstractionMapper.cs

@@ -55,7 +55,7 @@ public static ChatRequest ToOllamaSharpChatRequest(IList<ChatMessage> chatMessag
 			Format = Equals(options?.ResponseFormat, ChatResponseFormat.Json) ? Application.Json : null,
 			KeepAlive = null,
 			Messages = ToOllamaSharpMessages(chatMessages, serializerOptions),
-			Model = options?.ModelId ?? "", // will be set OllamaApiClient.SelectedModel if not set
+			Model = options?.ModelId ?? string.Empty, // will be set OllamaApiClient.SelectedModel if not set
 			Options = new RequestOptions
 			{
 				FrequencyPenalty = options?.FrequencyPenalty,
@@ -95,8 +95,7 @@ public static ChatRequest ToOllamaSharpChatRequest(IList<ChatMessage> chatMessag
 			TryAddOllamaOption<int?>(options, OllamaOption.RepeatLastN, v => request.Options.RepeatLastN = (int?)v);
 			TryAddOllamaOption<float?>(options, OllamaOption.RepeatPenalty, v => request.Options.RepeatPenalty = (float?)v);
 			TryAddOllamaOption<int?>(options, OllamaOption.Seed, v => request.Options.Seed = (int?)v);
-			TryAddOllamaOption<string[]?>(options, OllamaOption.Stop,
-				v => request.Options.Stop = (v as IEnumerable<string>)?.ToArray());
+			TryAddOllamaOption<string[]?>(options, OllamaOption.Stop, v => request.Options.Stop = (v as IEnumerable<string>)?.ToArray());
 			TryAddOllamaOption<float?>(options, OllamaOption.Temperature, v => request.Options.Temperature = (float?)v);
 			TryAddOllamaOption<float?>(options, OllamaOption.TfsZ, v => request.Options.TfsZ = (float?)v);
 			TryAddOllamaOption<int?>(options, OllamaOption.TopK, v => request.Options.TopK = (int?)v);

src/Models/Chat/ChatDoneResponseStream.cs

@@ -23,7 +23,7 @@ public class ChatDoneResponseStream : ChatResponseStream
 	/// <summary>
 	/// The number of tokens in the prompt
 	/// </summary>
-	[JsonPropertyName("prompt_eval_count")]
+	[JsonPropertyName(Application.PromptEvalCount)]
 	public int PromptEvalCount { get; set; }
 
 	/// <summary>
@@ -35,7 +35,7 @@ public class ChatDoneResponseStream : ChatResponseStream
 	/// <summary>
 	/// The number of tokens in the response
 	/// </summary>
-	[JsonPropertyName("eval_count")]
+	[JsonPropertyName(Application.EvalCount)]
 	public int EvalCount { get; set; }
 
 	/// <summary>
@@ -47,6 +47,6 @@ public class ChatDoneResponseStream : ChatResponseStream
 	/// <summary>
 	/// The reason for the completion of the chat
 	/// </summary>
-	[JsonPropertyName("done_reason")]
+	[JsonPropertyName(Application.DoneReason)]
 	public string? DoneReason { get; set; }
 }

src/Models/CopyModel.cs

@@ -1,4 +1,5 @@
 using System.Text.Json.Serialization;
+using OllamaSharp.Constants;
 
 namespace OllamaSharp.Models;
 
@@ -11,12 +12,12 @@ public class CopyModelRequest : OllamaRequest
 	/// <summary>
 	/// The source model name
 	/// </summary>
-	[JsonPropertyName("source")]
+	[JsonPropertyName(Application.Source)]
 	public string Source { get; set; } = null!;
 
 	/// <summary>
 	/// The destination model name
 	/// </summary>
-	[JsonPropertyName("destination")]
+	[JsonPropertyName(Application.Destination)]
 	public string Destination { get; set; } = null!;
 }

src/Models/CreateModel.cs

@@ -1,4 +1,5 @@
 using System.Text.Json.Serialization;
+using OllamaSharp.Constants;
 
 namespace OllamaSharp.Models;
 
@@ -18,32 +19,32 @@ public class CreateModelRequest : OllamaRequest
 	/// <summary>
 	/// Name of the model to create
 	/// </summary>
-	[JsonPropertyName("model")]
+	[JsonPropertyName(Application.Model)]
 	public string? Model { get; set; }
 
 	/// <summary>
 	/// Contents of the Modelfile
 	/// See https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md
 	/// </summary>
-	[JsonPropertyName("modelfile")]
+	[JsonPropertyName(Application.ModelFile)]
 	public string ModelFileContent { get; set; } = null!;
 
 	/// <summary>
 	/// Path to the Modelfile (optional)
 	/// </summary>
-	[JsonPropertyName("path")]
+	[JsonPropertyName(Application.Path)]
 	public string? Path { get; set; }
 
 	/// <summary>
 	/// If false the response will be returned as a single response object, rather than a stream of objects (optional)
 	/// </summary>
-	[JsonPropertyName("stream")]
+	[JsonPropertyName(Application.Stream)]
 	public bool Stream { get; set; }
 
 	/// <summary>
 	/// Set the quantization level for quantize model when importing (e.g. q4_0, optional)
 	/// </summary>
-	[JsonPropertyName("quantize")]
+	[JsonPropertyName(Application.Quantize)]
 	public string? Quantize { get; set; }
 }
 
@@ -55,6 +56,6 @@ public class CreateModelResponse
 	/// <summary>
 	/// Represents the status of a model creation.
 	/// </summary>
-	[JsonPropertyName("status")]
+	[JsonPropertyName(Application.Status)]
 	public string Status { get; set; } = null!;
 }

src/Models/DeleteModel.cs

@@ -1,4 +1,5 @@
 using System.Text.Json.Serialization;
+using OllamaSharp.Constants;
 
 namespace OllamaSharp.Models;
 
@@ -13,6 +14,6 @@ public class DeleteModelRequest : OllamaRequest
 	/// <summary>
 	/// The name of the model to delete
 	/// </summary>
-	[JsonPropertyName("model")]
+	[JsonPropertyName(Application.Model)]
 	public string? Model { get; set; }
 }

src/Models/Embed.cs

@@ -13,35 +13,35 @@ public class EmbedRequest : OllamaRequest
 	/// <summary>
 	/// The name of the model to generate embeddings from
 	/// </summary>
-	[JsonPropertyName("model")]
+	[JsonPropertyName(Application.Model)]
 	public string Model { get; set; } = null!;
 
 	/// <summary>
 	/// The text to generate embeddings for
 	/// </summary>
-	[JsonPropertyName("input")]
+	[JsonPropertyName(Application.Input)]
 	public List<string> Input { get; set; } = null!;
 
 	/// <summary>
 	/// Additional model parameters listed in the documentation for the Modelfile
 	/// such as temperature.
 	/// </summary>
-	[JsonPropertyName("options")]
+	[JsonPropertyName(Application.Options)]
 	public RequestOptions? Options { get; set; }
 
 	/// <summary>
 	/// Gets or sets the KeepAlive property, which decides how long a given
 	/// model should stay loaded.
 	/// </summary>
-	[JsonPropertyName("keep_alive")]
+	[JsonPropertyName(Application.KeepAlive)]
 	[JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)]
 	public long? KeepAlive { get; set; }
 
 	/// <summary>
 	/// Truncates the end of each input to fit within context length.
 	/// Returns error if false and context length is exceeded. Defaults to true
 	/// </summary>
-	[JsonPropertyName("truncate")]
+	[JsonPropertyName(Application.Truncate)]
 	[JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)]
 	public bool? Truncate { get; set; }
 }
@@ -54,7 +54,7 @@ public class EmbedResponse
 	/// <summary>
 	/// An array of embeddings for the input text
 	/// </summary>
-	[JsonPropertyName("embeddings")]
+	[JsonPropertyName(Application.Embeddings)]
 	public List<float[]> Embeddings { get; set; } = null!;
 
 	/// <summary>
@@ -72,6 +72,6 @@ public class EmbedResponse
 	/// <summary>
 	/// The number of tokens in the input text
 	/// </summary>
-	[JsonPropertyName("prompt_eval_count")]
+	[JsonPropertyName(Application.PromptEvalCount)]
 	public int? PromptEvalCount { get; set; }
 }