diff --git a/agent/protocol/agent_stream.py b/agent/protocol/agent_stream.py
index 3e6bc4e4..1124135f 100644
--- a/agent/protocol/agent_stream.py
+++ b/agent/protocol/agent_stream.py
@@ -659,8 +659,11 @@ class AgentStreamExecutor:
                                     tool_calls_buffer[index]["arguments"] += func["arguments"]
 
                     # Preserve _gemini_raw_parts for Gemini thoughtSignature round-trip
+                    # (direct Gemini: list of parts; LinkAI proxy: base64 string of JSON parts)
                     if "_gemini_raw_parts" in delta:
                         gemini_raw_parts = delta["_gemini_raw_parts"]
+                    elif isinstance(choice, dict) and choice.get("_gemini_raw_parts"):
+                        gemini_raw_parts = choice["_gemini_raw_parts"]
 
         except Exception as e:
             error_str = str(e)
diff --git a/channel/chat_channel.py b/channel/chat_channel.py
index 64a649aa..3251c286 100644
--- a/channel/chat_channel.py
+++ b/channel/chat_channel.py
@@ -297,8 +297,12 @@ class ChatChannel(Channel):
                 logger.debug("[chat_channel] sending reply: {}, context: {}".format(reply, context))
                 
                 # 如果是文本回复，尝试提取并发送图片
-                if reply.type == ReplyType.TEXT:
+                # Web channel renders images/videos inline via renderMarkdown,
+                # so skip the extract-and-send step to avoid duplicate media.
+                if reply.type == ReplyType.TEXT and context.get("channel_type") != "web":
                     self._extract_and_send_images(reply, context)
+                elif reply.type == ReplyType.TEXT:
+                    self._send(reply, context)
                 # 如果是图片回复但带有文本内容，先发文本再发图片
                 elif reply.type == ReplyType.IMAGE_URL and hasattr(reply, 'text_content') and reply.text_content:
                     # 先发送文本
diff --git a/models/gemini/google_gemini_bot.py b/models/gemini/google_gemini_bot.py
index ab3eae4c..6716e971 100644
--- a/models/gemini/google_gemini_bot.py
+++ b/models/gemini/google_gemini_bot.py
@@ -436,7 +436,6 @@ class GoogleGeminiBot(Bot):
                                 tool_result_data = {"result": tool_content}
                             
                             # Find the tool name from previous messages
-                            # Look for the corresponding tool_call in model's message
                             tool_name = None
                             for prev_msg in reversed(messages):
                                 if prev_msg.get("role") == "assistant":
@@ -450,13 +449,14 @@ class GoogleGeminiBot(Bot):
                                     if tool_name:
                                         break
                             
-                            # Gemini functionResponse format
-                            parts.append({
-                                "functionResponse": {
-                                    "name": tool_name or "unknown",
-                                    "response": tool_result_data
-                                }
-                            })
+                            # Gemini functionResponse format (Gemini 3 requires `id`)
+                            fn_response = {
+                                "name": tool_name or "unknown",
+                                "response": tool_result_data
+                            }
+                            if tool_use_id:
+                                fn_response["id"] = tool_use_id
+                            parts.append({"functionResponse": fn_response})
                             
                         elif "text" in block:
                             # Generic text field
@@ -624,10 +624,11 @@ class GoogleGeminiBot(Bot):
                 # Check for functionCall (per REST API docs)
                 if "functionCall" in part:
                     fc = part["functionCall"]
-                    logger.info(f"[Gemini] Function call detected: {fc.get('name')}")
+                    fc_id = fc.get("id") or f"call_{int(time.time() * 1000000)}"
+                    logger.info(f"[Gemini] Function call detected: {fc.get('name')} (id={fc_id})")
                     
                     tool_calls.append({
-                        "id": f"call_{int(time.time() * 1000000)}",
+                        "id": fc_id,
                         "type": "function",
                         "function": {
                             "name": fc.get("name"),
@@ -747,10 +748,12 @@ class GoogleGeminiBot(Bot):
                         # Collect function calls
                         if "functionCall" in part:
                             fc = part["functionCall"]
-                            logger.info(f"[Gemini] Function call: {fc.get('name')}")
+                            logger.info(f"[Gemini] Function call: {fc.get('name')} (id={fc.get('id')})")
+                            # Prefer Gemini's native id; fall back to generated one
+                            fc_id = fc.get("id") or f"call_{int(time.time() * 1000000)}_{len(all_tool_calls)}"
                             all_tool_calls.append({
-                                "index": len(all_tool_calls),  # Add index to differentiate multiple tool calls
-                                "id": f"call_{int(time.time() * 1000000)}_{len(all_tool_calls)}",
+                                "index": len(all_tool_calls),
+                                "id": fc_id,
                                 "type": "function",
                                 "function": {
                                     "name": fc.get("name"),
diff --git a/models/linkai/link_ai_bot.py b/models/linkai/link_ai_bot.py
index 212cbbd7..6eb1e142 100644
--- a/models/linkai/link_ai_bot.py
+++ b/models/linkai/link_ai_bot.py
@@ -673,6 +673,9 @@ def _handle_linkai_stream_response(self, base_url, headers, body):
                         }
                         return
 
+                    # Forward SSE JSON as-is so extensions (e.g. delta._gemini_raw_parts
+                    # for Gemini via LinkAI) reach agent_stream and are stored on assistant
+                    # messages for the next request. Standard OpenAI fields are unchanged.
                     yield chunk
                         
     except Exception as e: