Merge branch 'feat/universal-chat' into deploy/dev

api/core/agent/agent/openai_function_call_summarize_mixin.py

@@ -4,11 +4,12 @@ from langchain.chat_models import ChatOpenAI
 from langchain.chat_models.openai import _convert_message_to_dict
 from langchain.memory.summary import SummarizerMixin
 from langchain.schema import SystemMessage, HumanMessage, BaseMessage, AIMessage, BaseLanguageModel
+from pydantic import BaseModel
 
 from core.agent.agent.calc_token_mixin import ExceededLLMTokensLimitError, CalcTokenMixin
 
 
-class OpenAIFunctionCallSummarizeMixin(CalcTokenMixin):
+class OpenAIFunctionCallSummarizeMixin(BaseModel, CalcTokenMixin):
     moving_summary_buffer: str = ""
     moving_summary_index: int = 0
     summary_llm: BaseLanguageModel

api/services/app_model_config_service.py

@@ -160,11 +160,6 @@ class AppModelConfigService:
 
         if not isinstance(config["speech_to_text"]["enabled"], bool):
             raise ValueError("enabled in speech_to_text must be of boolean type")
-        
-        provider_name = LLMBuilder.get_default_provider(account.current_tenant_id, 'whisper-1')
-
-        if config["speech_to_text"]["enabled"] and provider_name != 'openai':
-            raise ValueError("provider not support speech to text")
 
         # more_like_this
         if 'more_like_this' not in config or not config["more_like_this"]: