Add chatId in ws connection

engine/pipeline.py

@@ -47,6 +47,18 @@ from .transcript_stream import ProductTranscriptStreamProcessor
 from .turn_start import InterruptionGateUserTurnStartStrategy
 
 
+def _chat_id_from_websocket(websocket) -> str | None:
+    query_params = getattr(websocket, "query_params", None)
+    if not query_params:
+        return None
+
+    for name in ("chatId", "chat_id"):
+        value = query_params.get(name)
+        if isinstance(value, str) and value.strip():
+            return value.strip()
+    return None
+
+
 async def run_voice_pipeline(websocket, config: EngineConfig) -> None:
     await run_pipeline_with_serializer(
         websocket,
@@ -93,7 +105,7 @@ async def run_pipeline_with_serializer(
     stt = create_stt_service(config.services.stt, config.audio)
 
     llm_config = config.services.llm
-    chat_id = llm_config.chat_id or f"voice_{uuid.uuid4().hex[:16]}"
+    chat_id = _chat_id_from_websocket(websocket) or f"voice_{uuid.uuid4().hex[:16]}"
     llm = create_llm_service(
         llm_config,
         chat_id=chat_id,
@@ -200,7 +212,9 @@ async def run_pipeline_with_serializer(
             await task.queue_frames([TTSSpeakFrame(config.agent.greeting)])
         elif config.agent.greeting_mode == "fastgpt_opener":
             if isinstance(llm, FastGPTLLMService):
-                welcome = await llm.fetch_welcome_text()
+                welcome = await llm.fetch_session_greeting_text(
+                    config.agent.fastgpt_reconnect_greeting
+                )
                 if welcome:
                     await task.queue_frames([TTSSpeakFrame(welcome)])
                 else: