✨ (field_typing): introduce BaseChatModel to field_typing module for better organization and structure

📝 (constants): add BaseChatModel to LANGCHAIN_BASE_TYPES dictionary for consistency and completeness

src/backend/base/langflow/field_typing/__init__.py

@@ -7,6 +7,7 @@ from .constants import (
     BaseLLM,
     BaseLoader,
     BaseMemory,
+    BaseChatModel,
     BaseOutputParser,
     BasePromptTemplate,
     BaseRetriever,
@@ -80,4 +81,5 @@ __all__ = [
     "TextSplitter",
     "Tool",
     "VectorStore",
+    "BaseChatModel",
 ]

src/backend/base/langflow/field_typing/constants.py

@@ -1,5 +1,5 @@
 from typing import Callable, Dict, Text, Union
-
+from langchain_core.language_models.chat_models import BaseChatModel
 from langchain.agents.agent import AgentExecutor
 from langchain.chains.base import Chain
 from langchain.memory.chat_memory import BaseChatMemory
@@ -48,6 +48,7 @@ LANGCHAIN_BASE_TYPES = {
     "BaseOutputParser": BaseOutputParser,
     "BaseMemory": BaseMemory,
     "BaseChatMemory": BaseChatMemory,
+    "BaseChatModel": BaseChatModel,
 }
 # Langchain base types plus Python base types
 CUSTOM_COMPONENT_SUPPORTED_TYPES = {