fix: handle array content blocks in messagesToPrompt

src/adapter/openai-to-cli.ts

@@ -2,7 +2,7 @@
  * Converts OpenAI chat request format to Claude CLI input
  */
 
-import type { OpenAIChatRequest } from "../types/openai.js";
+import type { OpenAIChatRequest, OpenAIContentBlock } from "../types/openai.js";
 
 export type ClaudeModel = "opus" | "sonnet" | "haiku";
 
@@ -46,6 +46,21 @@ export function extractModel(model: string): ClaudeModel {
   return "opus";
 }
 
+/**
+ * Extract plain text from a message content field.
+ * Handles both plain strings and OpenAI-style content block arrays
+ * (e.g. [{type: "text", text: "hello"}]), which clients like OpenClaw send.
+ */
+function extractTextContent(content: string | OpenAIContentBlock[]): string {
+  if (typeof content === "string") return content;
+  return content
+    .filter((block): block is OpenAIContentBlock & { type: "text"; text: string } =>
+      block.type === "text" && typeof block.text === "string"
+    )
+    .map((block) => block.text)
+    .join("\n");
+}
+
 /**
  * Convert OpenAI messages array to a single prompt string for Claude CLI
  *
@@ -56,20 +71,21 @@ export function messagesToPrompt(messages: OpenAIChatRequest["messages"]): strin
   const parts: string[] = [];
 
   for (const msg of messages) {
+    const text = extractTextContent(msg.content);
     switch (msg.role) {
       case "system":
         // System messages become context instructions
-        parts.push(`<system>\n${msg.content}\n</system>\n`);
+        parts.push(`<system>\n${text}\n</system>\n`);
         break;
 
       case "user":
         // User messages are the main prompt
-        parts.push(msg.content);
+        parts.push(text);
         break;
 
       case "assistant":
         // Previous assistant responses for context
-        parts.push(`<previous_response>\n${msg.content}\n</previous_response>\n`);
+        parts.push(`<previous_response>\n${text}\n</previous_response>\n`);
         break;
     }
   }

src/types/openai.ts

@@ -3,9 +3,15 @@
  * Used for Clawdbot integration
  */
 
+export interface OpenAIContentBlock {
+  type: "text" | "image_url";
+  text?: string;
+  image_url?: { url: string };
+}
+
 export interface OpenAIChatMessage {
   role: "system" | "user" | "assistant";
-  content: string;
+  content: string | OpenAIContentBlock[];
 }
 
 export interface OpenAIChatRequest {