[Python] Unable to integrate with Google Gemini

AS a beginner I have started exploring langgraph integrating with Gemini but getting empty response. Tried using python integrating langraph with Gemini-2.5-flashbut the response is empty because. Seems like the langchain is not compatible with gemini-2.5-flash

old versions are deprecated.

Please share some code snippets that work with the Gemini model. It will help me learn LangChain and LangGraph.

Hi, AS a beginner I have started exploring langgraph integrating with Gemini but getting empty response. Below is the code snippet for Langchain, but the response is empty because. Seems like the langchain is not compatible with gemini-2.5-flash

Please share some code snippets that work with the Gemini model. It will help me learn LangChain and LangGraph.

=============== Code snippet


import os from dotenv import load_dotenv from langchain_google_vertexai import VertexAI from google.cloud import aiplatform

Load .env values into environment variables


load_dotenv()

Ensure correct region is used


aiplatform.init(location="us-central1")

Confirm that key path is loaded correctly


print("GOOGLE_APPLICATION_CREDENTIALS =", os.getenv("GOOGLE_APPLICATION_CREDENTIALS"))

llm = VertexAI(model_name="gemini-2.5-flash", temperature=0.7, max_output_tokens=512)

response = llm.invoke("Hello from Gemini via Vertex AI") print(response) print("Response type:", type(response))

===================== Requirement.txt


langgraph langgraph-prebuilt langchain langchain-core langchain-community langchain-openai langchain-google-genai google-generativeai python-dotenv google-cloud-aiplatform langchain-google-vertexai

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