Fix/app runner typo (#2661)

api/core/app_runner/app_runner.py

@@ -84,7 +84,7 @@ class AppRunner:
 
         return rest_tokens
 
-    def recale_llm_max_tokens(self, model_config: ModelConfigEntity,
+    def recalc_llm_max_tokens(self, model_config: ModelConfigEntity,
                               prompt_messages: list[PromptMessage]):
         # recalc max_tokens if sum(prompt_token +  max_tokens) over model token limit
         model_type_instance = model_config.provider_model_bundle.model_type_instance

api/core/app_runner/basic_app_runner.py

@@ -181,7 +181,7 @@ class BasicApplicationRunner(AppRunner):
             return
 
         # Re-calculate the max tokens if sum(prompt_token +  max_tokens) over model token limit
-        self.recale_llm_max_tokens(
+        self.recalc_llm_max_tokens(
             model_config=app_orchestration_config.model_config,
             prompt_messages=prompt_messages
         )

api/core/features/assistant_cot_runner.py

@@ -131,7 +131,7 @@ class AssistantCotApplicationRunner(BaseAssistantApplicationRunner):
             )
 
             # recale llm max tokens
-            self.recale_llm_max_tokens(self.model_config, prompt_messages)
+            self.recalc_llm_max_tokens(self.model_config, prompt_messages)
             # invoke model
             chunks: Generator[LLMResultChunk, None, None] = model_instance.invoke_llm(
                 prompt_messages=prompt_messages,

api/core/features/assistant_fc_runner.py

@@ -106,7 +106,7 @@ class AssistantFunctionCallApplicationRunner(BaseAssistantApplicationRunner):
             )
 
             # recale llm max tokens
-            self.recale_llm_max_tokens(self.model_config, prompt_messages)
+            self.recalc_llm_max_tokens(self.model_config, prompt_messages)
             # invoke model
             chunks: Union[Generator[LLMResultChunk, None, None], LLMResult] = model_instance.invoke_llm(
                 prompt_messages=prompt_messages,