支持 OpenRouter 反代 DeepSeek-R1 的深度思考显示

app/client/platforms/deepseek.ts

@@ -56,7 +56,12 @@ export class DeepSeekApi implements LLMApi {
   }
 
   extractMessage(res: any) {
-    return res.choices?.at(0)?.message?.content ?? "";
+    const reasoning = res.choices?.at(0)?.message?.reasoning;
+    const content = res.choices?.at(0)?.message?.content ?? "";
+    if (reasoning) {
+      return `<think>\n${reasoning}\n</think>\n${content}`;
+    }
+    return content;
   }
 
   speech(options: SpeechOptions): Promise<ArrayBuffer> {
@@ -111,6 +116,7 @@ export class DeepSeekApi implements LLMApi {
       presence_penalty: modelConfig.presence_penalty,
       frequency_penalty: modelConfig.frequency_penalty,
       top_p: modelConfig.top_p,
+      include_reasoning: true,
       // max_tokens: Math.max(modelConfig.max_tokens, 1024),
       // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
     };
@@ -158,6 +164,7 @@ export class DeepSeekApi implements LLMApi {
                 content: string | null;
                 tool_calls: ChatMessageTool[];
                 reasoning_content: string | null;
+                reasoning: string | null;
               };
             }>;
             const tool_calls = choices[0]?.delta?.tool_calls;
@@ -179,10 +186,12 @@ export class DeepSeekApi implements LLMApi {
                 runTools[index]["function"]["arguments"] += args;
               }
             }
-            const reasoning = choices[0]?.delta?.reasoning_content;
+            const reasoning =
+              choices[0]?.delta?.reasoning_content ??
+              choices[0]?.delta?.reasoning;
             const content = choices[0]?.delta?.content;
 
-            // Skip if both content and reasoning_content are empty or null
+            // Skip if both content and reasoning are empty or null
             if (
               (!reasoning || reasoning.length === 0) &&
               (!content || content.length === 0)

app/client/platforms/openai.ts

@@ -67,6 +67,7 @@ export interface RequestPayload {
   top_p: number;
   max_tokens?: number;
   max_completion_tokens?: number;
+  include_reasoning?: boolean;
 }
 
 export interface DalleRequestPayload {
@@ -200,7 +201,7 @@ export class ChatGPTApi implements LLMApi {
       options.config.model.startsWith("o1") ||
       options.config.model.startsWith("o3") ||
       options.config.model.startsWith("o4-mini");
-    const isGpt5 =  options.config.model.startsWith("gpt-5");
+    const isGpt5 = options.config.model.startsWith("gpt-5");
     if (isDalle3) {
       const prompt = getMessageTextContent(
         options.messages.slice(-1)?.pop() as any,
@@ -240,10 +241,10 @@ export class ChatGPTApi implements LLMApi {
       };
 
       if (isGpt5) {
-  	// Remove max_tokens if present
-  	delete requestPayload.max_tokens;
-  	// Add max_completion_tokens (or max_completion_tokens if that's what you meant)
-  	requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
+        // Remove max_tokens if present
+        delete requestPayload.max_tokens;
+        // Add max_completion_tokens (or max_completion_tokens if that's what you meant)
+        requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
 
       } else if (isO1OrO3) {
         // by default the o1/o3 models will not attempt to produce output that includes markdown formatting
@@ -260,7 +261,7 @@ export class ChatGPTApi implements LLMApi {
 
 
       // add max_tokens to vision model
-      if (visionModel && !isO1OrO3 && ! isGpt5) {
+      if (visionModel && !isO1OrO3 && !isGpt5) {
         requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
       }
     }

app/constant.ts

@@ -494,7 +494,8 @@ export const VISION_MODEL_REGEXES = [
   /o3/,
   /o4-mini/,
   /grok-4/i,
-  /gpt-5/
+  /gpt-5/,
+  /deepseek/
 ];
 
 export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];