Overview
In this project, you'll build a multi-provider LLM gateway that abstracts the TogetherAI and Anthropic APIs behind a single interface. Using Python and the requests library, you'll send direct HTTP requests to different LLM providers and handle each one's unique authentication, request formatting, and response structures.
Along the way, you'll design provider-agnostic abstractions, parse and normalize JSON responses, and implement custom exceptions for clear error handling. By building the gateway layer by layer, you'll learn to write flexible code that can easily extend to new providers.
This hands-on experience deepens your understanding of real-world API integration patterns and clean software design — essential skills for any AI engineering role.
What You'll Learn
- ✓ Build a simple gateway layer for multiple LLM providers
- ✓ Implement direct HTTP requests using the requests library
- ✓ Handle provider-specific authentication and request formatting differences
- ✓ Parse and normalize responses from different API structures
- ✓ Design custom exceptions for clear error handling
Project Steps
11 steps
- 1 Introduction
- 2 Storing Configuration in Constants
- 3 Defining a Custom Exception
- 4 Calling the TogetherAI API
- 5 Parsing the TogetherAI Response
- 6 Calling the Anthropic API
- 7 Handling the System Message
- 8 Parsing the Anthropic Response
- 9 Wiring Up generate()
- 10 Testing the Gateway
- 11 Next Steps
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