Add chat_id, variables, detail, timeout_sec, and send_system_prompt to LLMConfig; update create_llm_service to accept new parameters and handle FastGPT integration. Modify pipeline to utilize chat_id and adjust message handling based on provider settings.

engine/services.py

@@ -13,6 +13,7 @@ from pipecat.services.openai.tts import VALID_VOICES, OpenAITTSService
 from pipecat.transcriptions.language import Language
 
 from .config import AudioConfig, LLMConfig, STTConfig, TTSConfig
+from .fastgpt_llm import FastGPTLLMService, FastGPTLLMSettings
 from .xfyun_asr import DEFAULT_XFYUN_ASR_URL, XfyunASRService
 from .xfyun_tts import DEFAULT_XFYUN_TTS_URL, XfyunTTSService
 
@@ -46,7 +47,29 @@ def create_stt_service(config: STTConfig, audio: AudioConfig | None = None):
     )
 
 
-def create_llm_service(config: LLMConfig):
+def create_llm_service(
+    config: LLMConfig,
+    *,
+    chat_id: str | None = None,
+    session_variables: dict | None = None,
+    greeting_prompt: str | None = None,
+):
+    if config.provider == "fastgpt":
+        variables = {**config.variables, **(session_variables or {})}
+        return FastGPTLLMService(
+            api_key=config.api_key,
+            base_url=config.base_url or "http://localhost:3000",
+            chat_id=chat_id or config.chat_id,
+            send_system_prompt=config.send_system_prompt,
+            greeting_prompt=greeting_prompt,
+            timeout=config.timeout_sec,
+            settings=FastGPTLLMSettings(
+                model=config.model or "fastgpt",
+                variables=variables,
+                detail=config.detail,
+            ),
+        )
+
     _require_provider(config.provider, "openai", "llm")
     return OpenAILLMService(
         api_key=config.api_key or None,