Added info parameter to fields (#552)

src/backend/langflow/chat/config.py

@@ -0,0 +1,2 @@
+class ChatConfig:
+    streaming: bool = True

src/backend/langflow/chat/manager.py

@@ -209,3 +209,5 @@ class ChatManager:
             except Exception as e:
                 logger.error(e)
             self.disconnect(client_id)
+
+

src/backend/langflow/interface/initialize/loading.py

@@ -6,6 +6,7 @@ from langchain.agents import agent as agent_module
 from langchain.agents.agent import AgentExecutor
 from langchain.agents.agent_toolkits.base import BaseToolkit
 from langchain.agents.tools import BaseTool
+
 from langflow.interface.initialize.vector_store import vecstore_initializer
 
 from pydantic import ValidationError
@@ -20,6 +21,7 @@ from langchain.chains.base import Chain
 from langchain.vectorstores.base import VectorStore
 from langchain.document_loaders.base import BaseLoader
 from langchain.prompts.base import BasePromptTemplate
+from langflow.chat.config import ChatConfig
 
 
 def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
@@ -76,10 +78,21 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
         return instantiate_utility(node_type, class_object, params)
     elif base_type == "chains":
         return instantiate_chains(node_type, class_object, params)
+    elif base_type == "llms":
+        return instantiate_llm(node_type, class_object, params)
     else:
         return class_object(**params)
 
 
+def instantiate_llm(node_type, class_object, params: Dict):
+    # This is a workaround so JinaChat works until streaming is implemented
+    # if "openai_api_base" in params and "jina" in params["openai_api_base"]:
+    # False if condition is True
+    ChatConfig.streaming = "jina" not in params.get("openai_api_base", "")
+
+    return class_object(**params)
+
+
 def instantiate_chains(node_type, class_object: Type[Chain], params: Dict):
     if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
         params["retriever"] = params["retriever"].as_retriever()

src/backend/langflow/interface/utils.py

@@ -4,10 +4,12 @@ import os
 from io import BytesIO
 import re
 
+
 import yaml
 from langchain.base_language import BaseLanguageModel
 from PIL.Image import Image
 from langflow.utils.logger import logger
+from langflow.chat.config import ChatConfig
 
 
 def load_file_into_dict(file_path: str) -> dict:
@@ -49,9 +51,9 @@ def try_setting_streaming_options(langchain_object, websocket):
 
     if isinstance(llm, BaseLanguageModel):
         if hasattr(llm, "streaming") and isinstance(llm.streaming, bool):
-            llm.streaming = True
+            llm.streaming = ChatConfig.streaming
         elif hasattr(llm, "stream") and isinstance(llm.stream, bool):
-            llm.stream = True
+            llm.stream = ChatConfig.streaming
 
     return langchain_object
 

src/backend/langflow/template/field/base.py

@@ -21,6 +21,7 @@ class TemplateFieldCreator(BaseModel, ABC):
     name: str = ""
     display_name: Optional[str] = None
     advanced: bool = False
+    info: Optional[str] = ""
 
     def to_dict(self):
         result = self.dict()

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

@@ -32,3 +32,13 @@ You are a good listener and you can talk about anything.
 HUMAN_PROMPT = "{input}"
 
 QA_CHAIN_TYPES = ["stuff", "map_reduce", "map_rerank", "refine"]
+
+
+# This variable is used to tell the user
+# that it can be changed to use other APIs
+# like Prem and LocalAI
+OPENAI_API_BASE_INFO = """
+The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.
+
+You can change this to use other APIs like JinaChat, LocalAI and Prem.
+"""

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

@@ -2,6 +2,7 @@ from typing import Optional
 
 from langflow.template.field.base import TemplateField
 from langflow.template.frontend_node.base import FrontendNode
+from langflow.template.frontend_node.constants import OPENAI_API_BASE_INFO
 
 
 class LLMFrontendNode(FrontendNode):
@@ -15,6 +16,9 @@ class LLMFrontendNode(FrontendNode):
         if "key" not in field.name.lower() and "token" not in field.name.lower():
             field.password = False
 
+        if field.name == "openai_api_base":
+            field.info = OPENAI_API_BASE_INFO
+
     @staticmethod
     def format_azure_field(field: TemplateField):
         if field.name == "model_name":