1

src/main/java/cn/van/business/util/ds/SocialMediaLlmClient.java

@@ -191,6 +191,9 @@ public class SocialMediaLlmClient {
             return chatCompletionsUrl;
         }
         String u = chatCompletionsUrl.trim().replaceAll("/+$", "");
+        if (u.contains("minimax")) {
+            return normalizeMiniMaxOpenAiUrl(u);
+        }
         if (!u.contains("volces.com") || u.contains("chat/completions")) {
             return u;
         }
@@ -203,6 +206,27 @@ public class SocialMediaLlmClient {
         return u;
     }
 
+    /**
+     * MiniMax 文档里的 Anthropic 基址（.../anthropic）与 OpenAI SDK 基址（.../v1）都不能直接当 Chat Completions 用。
+     * 本客户端只发 OpenAI 格式，统一落到 .../v1/chat/completions。
+     */
+    private static String normalizeMiniMaxOpenAiUrl(String url) {
+        String u = url;
+        if (u.contains("/anthropic")) {
+            u = u.replaceFirst("/anthropic(?:/v1/messages)?$", "").replaceFirst("/anthropic$", "");
+        }
+        if (u.endsWith("/v1/chat/completions")) {
+            return u;
+        }
+        if (u.endsWith("/v1")) {
+            return u + "/chat/completions";
+        }
+        if (!u.contains("/chat/completions")) {
+            return u + "/v1/chat/completions";
+        }
+        return u;
+    }
+
     private String callOpenAiCompatible(String chatCompletionsUrl, String apiKey, String model, String userText)
             throws IOException {
         String endpoint = normalizeOpenAiCompatibleUrl(chatCompletionsUrl);
@@ -212,7 +236,7 @@ public class SocialMediaLlmClient {
         }
 
         Map<String, Object> requestBody = new HashMap<>();
-        requestBody.put("model", model);
+        requestBody.put("model", normalizeMiniMaxModel(model));
         requestBody.put("messages", new Map[]{
                 Map.of("role", "user", "content", userText)
         });
@@ -231,7 +255,7 @@ public class SocialMediaLlmClient {
             request.header("Authorization", "Bearer " + apiKey.trim());
         }
 
-        log.info("请求 OpenAI 兼容 API: URL={}, model={}", endpoint, model);
+        log.info("请求 OpenAI 兼容 API: URL={}, model={}", endpoint, normalizeMiniMaxModel(model));
 
         HttpResponse response = request.execute();
         if (response.getStatus() != 200) {
@@ -256,6 +280,18 @@ public class SocialMediaLlmClient {
         return choices.get(0).path("message").path("content").asText();
     }
 
+    /** 控制台展示名「MiniMax M3」与接口要求的 MiniMax-M3 对齐 */
+    private static String normalizeMiniMaxModel(String model) {
+        if (StrUtil.isBlank(model)) {
+            return model;
+        }
+        String m = model.trim();
+        if ("MiniMax M3".equalsIgnoreCase(m) || "minimax m3".equalsIgnoreCase(m)) {
+            return "MiniMax-M3";
+        }
+        return m;
+    }
+
     private static final class ResolvedLlm {
         String mode;
         String baseUrl;