Python QuickStart: Calling AnyAPI.ai for LLM Requests (2026 Edition)
In this guide, we will explore how to use AnyAPI as a unified gateway to access the latest frontier models using the standard OpenAI Python SDK.
1. Architecture Overview
AnyAPI.ai operates as a transparent proxy. Your code interacts with a single endpoint, while AnyAPI handles the complex routing to various providers.
Why Use AnyAPI.ai in 2026?
Instant Model Switching:
Move from OpenAI to Anthropic by changing just the model string.
Unified Agentic Workflows:
Use openai/gpt-5 for reasoning and google/gemini-3-pro for multimodal analysis under one API key.
2. Setup and Configuration
3. Implementation: Calling the Latest Models
Synchronous Request (GPT-5)
4. Model Selection Strategy for 2026
Entry-Level & High Speed:
Use google/gemini-3-flash or meta-llama/llama-3.1-405b-instruct
Professional Coding & Agents:
Use openai/gpt-5 or anthropic/claude-4-5-sonnet.
Frontier Reasoning:
Use anthropic/claude-4-6-opus or openai/gpt-5.
5. Standardized Error Handling
Authentication Error (401):
Check your AnyAPI key.
Rate Limits (429):
Occurs if your AnyAPI tier or downstream provider is throttled.
Model Not Found (404):
Ensure the model name (e.g., openai/gpt-5) is valid in your dashboard.