Schema Update

src/react_agent/graph.py

@@ -6,7 +6,6 @@
 from datetime import datetime, timezone
 from typing import Dict, List, Literal, cast
 
-from langchain.chat_models import init_chat_model
 from langchain_core.messages import AIMessage
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnableConfig
@@ -16,6 +15,7 @@
 from react_agent.configuration import Configuration
 from react_agent.state import InputState, State
 from react_agent.tools import TOOLS
+from react_agent.utils import load_chat_model
 
 # Define the function that calls the model
 
@@ -42,7 +42,7 @@ async def call_model(
     )
 
     # Initialize the model with tool binding. Change the model or add more tools here.
-    model = init_chat_model(configuration.model_name).bind_tools(TOOLS)
+    model = load_chat_model(configuration.model_name).bind_tools(TOOLS)
 
     # Prepare the input for the model, including the current system time
     message_value = await prompt.ainvoke(

src/react_agent/utils.py

@@ -1,5 +1,7 @@
 """Utility & helper functions."""
 
+from langchain.chat_models import init_chat_model
+from langchain_core.language_models import BaseChatModel
 from langchain_core.messages import BaseMessage
 
 
@@ -13,3 +15,13 @@ def get_message_text(msg: BaseMessage) -> str:
     else:
         txts = [c if isinstance(c, str) else (c.get("text") or "") for c in content]
         return "".join(txts).strip()
+
+
+def load_chat_model(fully_specified_name: str) -> BaseChatModel:
+    """Load a chat model from a fully specified name.
+
+    Args:
+        fully_specified_name (str): String in the format 'provider/model'.
+    """
+    provider, model = fully_specified_name.split("/", maxsplit=1)
+    return init_chat_model(model, model_provider=provider)