Add available models for Moonshot Chat Completion Models.

Signed-off-by: Xiaojie  Wang <[email protected]>

Author: 10veU

models/spring-ai-moonshot/src/main/java/org/springframework/ai/moonshot/api/MoonshotApi.java

@@ -214,25 +214,35 @@ public enum ChatCompletionFinishReason {
 	 * <li><b>MOONSHOT_V1_128K</b> - moonshot-v1-128k</li>
 	 * </ul>
 	 *
-	 * {@code moonshot-v1-auto} can select the appropriate model based on the number of Tokens occupied by the current context. The available models for selection include:
+	 * {@code moonshot-v1-auto} can select the appropriate model based on the number of
+	 * Tokens occupied by the current context. The available models for selection include:
 	 * <ul>
 	 * <li>{@code moonshot-v1-8k}</li>
 	 * <li>{@code moonshot-v1-32k}</li>
 	 * <li>{@code moonshot-v1-128k}</li>
 	 * </ul>
-	 * <p>{@code moonshot-v1-auto} can be regarded as a model router, which decides which specific model to select based on the number of Tokens occupied by the current context. In terms of performance and output, {@code moonshot-v1-auto} is indistinguishable from the aforementioned models.</p>
-	 * The routing rules for the model selected by {@code moonshot-v1-auto} are as follows:
+	 * <p>
+	 * {@code moonshot-v1-auto} can be regarded as a model router, which decides which
+	 * specific model to select based on the number of Tokens occupied by the current
+	 * context. In terms of performance and output, {@code moonshot-v1-auto} is
+	 * indistinguishable from the aforementioned models.
+	 * </p>
+	 * The routing rules for the model selected by {@code moonshot-v1-auto} are as
+	 * follows:
 	 * <ul>
 	 * <li>If {@code total_tokens ≤ 8 * 1024}, choose {@code moonshot-v1-8k}.</li>
-	 * <li>If {@code 8 * 1024 < total_tokens ≤ 32 * 1024}, choose {@code moonshot-v1-32k}.</li>
+	 * <li>If {@code 8 * 1024 < total_tokens ≤ 32 * 1024}, choose
+	 * {@code moonshot-v1-32k}.</li>
 	 * <li>If {@code total_tokens > 32 * 1024}, choose {@code moonshot-v1-128k}.</li>
 	 * </ul>
-	 * The calculation formula is:
-	 * {@code total_tokens = prompt_tokens + max_tokens}
-	 * <p>The total number of Tokens is composed of two parts:
+	 * The calculation formula is: {@code total_tokens = prompt_tokens + max_tokens}
+	 * <p>
+	 * The total number of Tokens is composed of two parts:
 	 * <ul>
-	 * <li>{@code prompt_tokens}: The number of Tokens occupied by the input prompt (Prompt).</li>
-	 * <li>{@code max_tokens}: The maximum number of Tokens expected to be generated as output.</li>
+	 * <li>{@code prompt_tokens}: The number of Tokens occupied by the input prompt
+	 * (Prompt).</li>
+	 * <li>{@code max_tokens}: The maximum number of Tokens expected to be generated as
+	 * output.</li>
 	 * </ul>
 	 */
 	public enum ChatModel implements ChatModelDescription {