🐛 fix(config.yaml): add CTransformers to the list of supported llms

🐛 fix(utils.py): fix setting of streaming option for llm
🎨 style(llms.py): add model_file and model_type fields to the list of non-advanced fields
The first change adds CTransformers to the list of supported llms in the config.yaml file. The second change fixes a bug in the try_setting_streaming_options function in utils.py where the streaming option was not being set correctly. The third change is a style change that adds the model_file and model_type fields to the list of non-advanced fields in the LLMFrontendNode class in llms.py.

src/backend/langflow/config.yaml

@@ -45,13 +45,13 @@ documentloaders:
 embeddings:
   - OpenAIEmbeddings
   - HuggingFaceEmbeddings
-
 llms:
   - OpenAI
   # - AzureOpenAI
   - ChatOpenAI
   - HuggingFaceHub
   - LlamaCpp
+  - CTransformers
 memories:
   - ConversationBufferMemory
   - ConversationSummaryMemory
@@ -113,7 +113,7 @@ vectorstores:
   - Qdrant
   - Weaviate
 wrappers:
-  - RequestsWrapper # Wait more tests
+  - RequestsWrapper
   # - ChatPromptTemplate
   # - SystemMessagePromptTemplate
   # - HumanMessagePromptTemplate

src/backend/langflow/interface/utils.py

@@ -44,7 +44,7 @@ def try_setting_streaming_options(langchain_object, websocket):
         langchain_object.llm_chain, "llm"
     ):
         llm = langchain_object.llm_chain.llm
-    if isinstance(llm, BaseLanguageModel):
+    if isinstance(llm, BaseLanguageModel) and hasattr(llm, "streaming"):
-        llm.streaming = bool(hasattr(llm, "streaming"))
+        llm.streaming = True
 
     return langchain_object

src/backend/langflow/template/frontend_node/llms.py

@@ -43,7 +43,7 @@ class LLMFrontendNode(FrontendNode):
             field.field_type = "code"
             field.advanced = True
             field.show = True
-        elif field.name in ["model_name", "temperature"]:
+        elif field.name in ["model_name", "temperature", "model_file", "model_type"]:
             field.advanced = False
             field.show = True