Enterprise LLM Architecture: Multimodal, Code & Production APIs. #4
Making architecture decisions for an AI product serving users in Indonesia or Southeast Asia?
This practical 120-minute online workshop will help you evaluate how model selection, token costs, server regions, and production requirements affect your product’s cost, latency, reliability, and path to production.
Using a provided AstraFlow API key and testing credits, you’ll configure a model, select a server region, make a real API request, compare regional performance, and connect AstraFlow to a small product workflow.
The workshop will be followed by 30 minutes of Q&A and architecture consultation with the AstraFlow team.
What you’ll evaluate and test
A working AstraFlow API request
A model and server region configured for your product use case
Token-cost estimates per request, per 1,000 requests, per active user, and per month
Regional latency results, including P50, P95, and time to first token
A small product integration example
What you’ll learn
How to select a model and server region based on product requirements
How to translate token usage into expected operating costs
How server location affects latency for Southeast Asian users
How to connect AstraFlow to an existing product workflow
How API-key safety, monitoring, reliability, and technical support affect production readiness
How to define the next step toward a pilot or production integration
Who this workshop is for
Enterprise CTOs, AI/ML Engineers, and Tech Leads building scalable products
Teams integrating multimodal APIs for image/video generation and automated coding tools.
Engineering leaders evaluating model infrastructure
This workshop is best suited for participants who already have a product, prototype, or clear API-based AI use case. It is not designed as a general introduction to AI or prompt engineering.
What’s included
AstraFlow API key and testing credits
Access to the required models and server regions
Starter code, cost-calculation worksheet, and latency-testing materials
Direct technical guidance from the AstraFlow team
A 30-minute Q&A and architecture consultation
What to prepare
Please bring:
A laptop and code editor
Node.js or Python installed
Basic knowledge of APIs
A product, prototype, or existing AI workflow
A short description of your target users, primary region, and expected API usage
You don’t need to create an AstraFlow account before the workshop. Your API key will be provided.
Come with a real product use case. Leave with a working integration, measured cost and latency results, and a clearer path toward pilot or production deployment.