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/config.py

@@ -104,6 +104,11 @@ class LLMConfig:
     base_url: str | None = None
     model: str = "gpt-4o-mini"
     temperature: float | None = 0.7
+    chat_id: str | None = None
+    variables: dict[str, str] = field(default_factory=dict)
+    detail: bool = False
+    timeout_sec: float = 60.0
+    send_system_prompt: bool = False
 
 
 @dataclass(frozen=True)
@@ -180,6 +185,12 @@ def config_from_dict(data: dict) -> EngineConfig:
     if stt.get("language") == "":
         stt["language"] = None
 
+    llm = _dict(services.get("llm"))
+    if llm.get("chat_id") == "":
+        llm["chat_id"] = None
+    if not isinstance(llm.get("variables"), dict):
+        llm["variables"] = {}
+
     turn = _dict(data.get("turn"))
     vad = _dict(turn.get("vad"))
 
@@ -207,7 +218,7 @@ def config_from_dict(data: dict) -> EngineConfig:
         ),
         agent=AgentConfig(**agent),
         services=ServicesConfig(
-            llm=LLMConfig(**_dict(services.get("llm"))),
+            llm=LLMConfig(**llm),
             stt=STTConfig(**stt),
             tts=TTSConfig(**_dict(services.get("tts"))),
         ),