Merge csharp feature branch into main ai inference branch

specification/ai/ModelClient/client.tsp

@@ -118,3 +118,7 @@ interface Client3 {
   embed is AI.Model.getImageEmbeddings;
   getModelInfo is AI.Model.getModelInfo;
 }
+
+// The following is to update names as necessary for specific programming languages.
+// Done in this file to provide a single point of reference for any renames.
+@@clientName(ModelClient.StreamingChatChoiceUpdate.delta, "InternalStreamingDeltaMessage", "csharp");

specification/ai/ModelClient/models/chat_completions.tsp

@@ -9,7 +9,12 @@ using Azure.ClientGenerator.Core;
 
 namespace AI.Model;
 
-alias ChatCompletionsOptions = {
+@doc("""
+The configuration information for a chat completions request.
+Completions support a wide variety of tasks and generate text that continues from or "completes"
+provided prompt data.
+""")
+model ChatCompletionsOptions {
   @doc("""
     The collection of context messages associated with this chat completions request.
     Typical usage begins with a chat message for the System role that provides instructions for
@@ -33,6 +38,7 @@ alias ChatCompletionsOptions = {
   @doc("""
     A value indicating whether chat completions should be streamed for this request.
     """)
+  @clientName("InternalShouldStreamResponse", "csharp")
   stream?: boolean;
 
   @doc("""
@@ -69,6 +75,7 @@ alias ChatCompletionsOptions = {
     """)
   @maxValue(1.0)
   @minValue(0.0)
+  @clientName("NucleusSamplingFactor", "csharp")
   top_p?: float32 = 1.0;
 
   @doc("The maximum number of tokens to generate.")
@@ -82,6 +89,7 @@ alias ChatCompletionsOptions = {
     A collection of textual sequences that will end completions generation.
     """)
   @minItems(1)
+  @clientName("StopSequences", "csharp")
   stop?: string[];
 
   @doc("The available tool definitions that the chat completions request can use, including caller-defined functions.")
@@ -103,9 +111,10 @@ alias ChatCompletionsOptions = {
   @doc("""
     ID of the specific AI model to use, if more than one model is available on the endpoint.
     """)
-  @clientName("DeploymentName", "csharp")
   `model`?: string;
-};
+
+  ...Record<unknown>;
+}
 
 alias ChatCompletionsCommon = {
   @doc("A unique identifier associated with this chat completions response.")

specification/ai/ModelClient/models/common.tsp

@@ -140,16 +140,16 @@ alias AdditionalRequestHeaders = {
   extra_params?: ExtraParameters;
 };
 
-@doc("Controls what happens if extra parameters, undefined byt he REST ApI are passed in the JSON request payload.")
+@doc("Controls what happens if extra parameters, undefined by the REST ApI are passed in the JSON request payload.")
 union ExtraParameters {
   string,
 
-  @doc("The service will error if it detected unknown parameters in the request payload. This is the service default.")
+  @doc("The service will error if it detected extra parameters in the request payload. This is the service default.")
   error: "error",
 
-  @doc("The service will ignore (drop) unknown parameters in the request payload. It will only pass the known parameters to the back-end AI model.")
+  @doc("The service will ignore (drop) extra parameters in the request payload. It will only pass the known parameters to the back-end AI model.")
   drop: "drop",
 
-  @doc("The service will pass unknown parameters to the back-end AI model.")
+  @doc("The service will pass extra parameters to the back-end AI model.")
   pass_through: "pass_through",
 }

specification/ai/ModelClient/tspconfig.yaml

@@ -23,3 +23,10 @@ options:
     package-dir: "azure-ai-inference"
     package-name: "{package-dir}"
     flavor: azure
+  "@azure-tools/typespec-csharp":
+    package-dir: "Azure.AI.Inference"
+    namespace: "Azure.AI.Inference"
+    clear-output-folder: true
+    model-namespace: false
+    generate-protocol-methods: false
+    flavor: azure