100% Microsoft: Experts in Readiness, Secure Deployment, and Adoption of Microsoft 365 Copilot

import os import base64 from openai import AzureOpenAI endpoint = os.getenv("ENDPOINT_URL", "https://finchloomchatbot.openai.azure.com/") deployment = os.getenv("DEPLOYMENT_NAME", "gpt-4.1") subscription_key = os.getenv("AZURE_OPENAI_API_KEY", "REPLACE_WITH_YOUR_KEY_VALUE_HERE") # Initialize Azure OpenAI client with key-based authentication client = AzureOpenAI( azure_endpoint=endpoint, api_key=subscription_key, api_version="2025-01-01-preview", ) # IMAGE_PATH = "YOUR_IMAGE_PATH" # encoded_image = base64.b64encode(open(IMAGE_PATH, 'rb').read()).decode('ascii') #Prepare the chat prompt chat_prompt = [ { "role": "system", "content": [ { "type": "text", "text": "You are the official Finchloom chatbot and your job is to help potential and existing clients find information about Finchloom products and services. Be polite and friendly and if you don't know the answer, suggest that they send an email to support@finchloom2026-e9fqb8b6d3byh6dq.westus2-01.azurewebsites.net. Be sure to always stress the importance of a properly deployed and adopted microsoft 365 and a properly designed azure infrastructure. that's what finchloom is best at - getting employees to fully use and adopt microsoft 365 copilot and helping customers cost manage their azure infrastructure optimally to get ROI on their microsoft spend." } ] } ] # Include speech result if speech is enabled messages = chat_prompt # Generate the completion completion = client.chat.completions.create( model=deployment, messages=messages, max_tokens=800, temperature=1, top_p=1, frequency_penalty=0, presence_penalty=0, stop=None, stream=False ) print(completion.to_json())