feat: Switch the llm to ChatVertexAI

Also use a patched version of langchain-google-vertexai module to address an issue with LangGraph with ChatVertexAI.
GoogleCloudPlatform · Nov 15, 2024 · 7f53e54 · 7f53e54
1 parent e4d75b1
commit 7f53e54
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Showing 3 changed files with 5 additions and 5 deletions.
diff --git a/llm_demo/orchestrator/langchain_tools/langchain_tools_orchestrator.py b/llm_demo/orchestrator/langchain_tools/langchain_tools_orchestrator.py
@@ -28,7 +28,7 @@
 from langchain.tools import StructuredTool
 from langchain_community.chat_message_histories import ChatMessageHistory
 from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
-from langchain_google_vertexai import VertexAI
+from langchain_google_vertexai import ChatVertexAI
 from pytz import timezone
 
 from ..orchestrator import BaseOrchestrator, classproperty
@@ -69,7 +69,7 @@ def initialize_agent(
         prompt: ChatPromptTemplate,
         model: str,
     ) -> "UserAgent":
-        llm = VertexAI(max_output_tokens=512, model_name=model, temperature=0.0)
+        llm = ChatVertexAI(max_output_tokens=512, model_name=model, temperature=0.0)
         memory = ConversationBufferMemory(
             chat_memory=ChatMessageHistory(messages=history),
             memory_key="chat_history",

diff --git a/llm_demo/orchestrator/langgraph/react_graph.py b/llm_demo/orchestrator/langgraph/react_graph.py
@@ -26,7 +26,7 @@
 )
 from langchain_core.prompts.chat import ChatPromptTemplate
 from langchain_core.runnables import RunnableConfig, RunnableLambda
-from langchain_google_vertexai import VertexAI
+from langchain_google_vertexai import ChatVertexAI
 from langgraph.checkpoint.memory import MemorySaver
 from langgraph.graph import END, StateGraph
 from langgraph.graph.message import add_messages
@@ -85,7 +85,7 @@ async def create_graph(
     tool_node = ToolNode(tools)
 
     # model node
-    model = VertexAI(max_output_tokens=512, model_name=model_name, temperature=0.0)
+    model = ChatVertexAI(max_output_tokens=512, model_name=model_name, temperature=0.0)
 
     # Add the prompt to the model to create a model runnable
     model_runnable = prompt | model

diff --git a/llm_demo/requirements.txt b/llm_demo/requirements.txt
@@ -5,7 +5,7 @@ itsdangerous==2.2.0
 jinja2==3.1.4
 langchain-community==0.3.2
 langchain==0.3.3
-langchain-google-vertexai==2.0.4
+langchain-google-vertexai==2.0.7
 markdown==3.7
 types-Markdown==3.7.0.20240822
 uvicorn[standard]==0.31.0