Fix : Add reasoning_content placeholder for DeepSeek thinking models

open-sse/executors/default.js

@@ -4,12 +4,17 @@ import { OAUTH_ENDPOINTS, buildKimiHeaders } from "../config/appConstants.js";
 import { buildClineHeaders } from "../../src/shared/utils/clineAuth.js";
 import { getCachedClaudeHeaders } from "../utils/claudeHeaderCache.js";
 import { proxyAwareFetch } from "../utils/proxyFetch.js";
+import { injectReasoningContent } from "../utils/reasoningContentInjector.js";
 
 export class DefaultExecutor extends BaseExecutor {
   constructor(provider) {
     super(provider, PROVIDERS[provider] || PROVIDERS.openai);
   }
 
+  transformRequest(model, body) {
+    return injectReasoningContent({ provider: this.provider, model, body });
+  }
+
   buildUrl(model, stream, urlIndex = 0, credentials = null) {
     if (this.provider?.startsWith?.("openai-compatible-")) {
       const baseUrl = credentials?.providerSpecificData?.baseUrl || "https://api.openai.com/v1";

open-sse/executors/opencode-go.js

@@ -1,15 +1,12 @@
 import { BaseExecutor } from "./base.js";
 import { PROVIDERS } from "../config/providers.js";
+import { injectReasoningContent } from "../utils/reasoningContentInjector.js";
 
 // Models that use /zen/go/v1/messages (Anthropic/Claude format + x-api-key auth)
 const CLAUDE_FORMAT_MODELS = new Set(["minimax-m2.5", "minimax-m2.7"]);
 
 const BASE = "https://opencode.ai/zen/go/v1";
 
-// Kimi (Moonshot) requires reasoning_content on assistant tool_call messages when thinking is on.
-// OpenAI-format clients don't send it -> upstream 400. Inject a non-empty placeholder.
-const KIMI_REASONING_PLACEHOLDER = " ";
-
 export class OpenCodeGoExecutor extends BaseExecutor {
   constructor() {
     super("opencode-go", PROVIDERS["opencode-go"]);
@@ -39,13 +36,6 @@ export class OpenCodeGoExecutor extends BaseExecutor {
   }
 
   transformRequest(model, body) {
-    if (!model?.startsWith?.("kimi-") || !body?.messages) return body;
+    return injectReasoningContent({ provider: this.provider, model, body });
-    const messages = body.messages.map(m => {
-      if (m?.role === "assistant" && Array.isArray(m.tool_calls) && !("reasoning_content" in m)) {
-        return { ...m, reasoning_content: KIMI_REASONING_PLACEHOLDER };
-      }
-      return m;
-    });
-    return { ...body, messages };
   }
 }

open-sse/utils/reasoningContentInjector.js

@@ -0,0 +1,37 @@
+// Some thinking-mode providers (DeepSeek, Kimi, ...) require reasoning_content
+// to be echoed back on assistant messages. Clients in OpenAI format don't send it,
+// so we inject a non-empty placeholder to satisfy upstream validation.
+
+const PLACEHOLDER = " ";
+
+// Provider-level rules: keyed by executor.provider
+const PROVIDER_RULES = {
+  deepseek: { scope: "all" }
+};
+
+// Model-level rules: matched by predicate against model id
+const MODEL_RULES = [
+  { match: m => m?.startsWith?.("kimi-"), scope: "toolCalls" },
+  { match: m => m?.startsWith?.("deepseek-"), scope: "all" }
+];
+
+function shouldInject(message, scope) {
+  if (message?.role !== "assistant" || "reasoning_content" in message) return false;
+  if (scope === "toolCalls") return Array.isArray(message.tool_calls);
+  return true;
+}
+
+function applyRule(body, rule) {
+  if (!rule || !body?.messages) return body;
+  const messages = body.messages.map(m =>
+    shouldInject(m, rule.scope) ? { ...m, reasoning_content: PLACEHOLDER } : m
+  );
+  return { ...body, messages };
+}
+
+export function injectReasoningContent({ provider, model, body }) {
+  const providerRule = PROVIDER_RULES[provider];
+  const modelRule = MODEL_RULES.find(r => r.match(model));
+  const rule = providerRule || modelRule;
+  return applyRule(body, rule);
+}