Update LLM configuration to support FastGPT integration. Modify requirements to include fastgpt-python-sdk, enhance greeting messages, and adjust LLM service creation to handle app_id. Implement welcome text fetching for FastGPT and improve context handling in the pipeline based on LLM provider. Update related configurations and properties for better integration.

engine/pipeline.py

@@ -34,6 +34,7 @@ from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 from .config import EngineConfig
 from .context_sync import AssistantContextSyncProcessor
+from .fastgpt_llm import FastGPTLLMService
 from .product_protocol import ProductWebsocketSerializer
 from .services import create_llm_service, create_stt_service, create_tts_service
 from .text_input import ProductTextInputProcessor
@@ -94,14 +95,15 @@ async def run_pipeline_with_serializer(
         session_variables={"session_id": chat_id, "channel": "voice"},
         greeting_prompt=config.agent.greeting,
     )
-    if llm_config.provider == "fastgpt":
-        logger.info(f"FastGPT chatId={chat_id}")
+    if llm_config.is_fastgpt:
+        logger.info(f"LLM backend=fastgpt chatId={chat_id} appId={llm_config.app_id or '-'}")
+    else:
+        logger.info(f"LLM backend=openai model={llm_config.model}")
 
     tts = create_tts_service(config.services.tts, config.audio)
 
-    use_fastgpt = llm_config.provider == "fastgpt" and not llm_config.send_system_prompt
     messages: list[dict[str, str]] = []
-    if not use_fastgpt:
+    if llm_config.uses_local_context_history:
         messages = [{"role": "system", "content": config.agent.system_prompt}]
         if config.agent.greeting and config.agent.greeting_mode == "generated":
             messages.append({"role": "system", "content": config.agent.greeting})
@@ -183,7 +185,14 @@ async def run_pipeline_with_serializer(
         if config.agent.greeting_mode == "fixed" and config.agent.greeting:
             await task.queue_frames([TTSSpeakFrame(config.agent.greeting)])
         elif config.agent.greeting_mode == "generated":
-            await task.queue_frames([LLMRunFrame()])
+            if isinstance(llm, FastGPTLLMService):
+                welcome = await llm.fetch_welcome_text()
+                if welcome:
+                    await task.queue_frames([TTSSpeakFrame(welcome)])
+                else:
+                    await task.queue_frames([LLMRunFrame()])
+            else:
+                await task.queue_frames([LLMRunFrame()])
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(_transport, _client):