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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-5.2 for reasoning and google/gemini-3-pro for multimodal analysis under one API key.

  1. Setup and Configuration `Bash pip install openai python-dotenv

Configuration
Create a .env file:

ANYAPI_BASE_URL=https://api.anyapi.ai/v1
ANYAPI_API_KEY=your_anyapi_token_here
‍`

  1. Implementation: Calling the Latest Models Synchronous Request (GPT-5)

`import os
from openai import OpenAI
from dotenv import load_dotenv

load_dotenv()

client = OpenAI(
base_url=os.getenv("ANYAPI_BASE_URL"),
api_key=os.getenv("ANYAPI_API_KEY")

Calling GPT-5 using provider/model format

)
response = client.chat.completions.create(
model="openai/gpt-5",
messages=[{"role": "user", "content": "Analyze the legal implications of AI-generated smart contracts."}]
)

print(f"GPT-5 Response: {response.choices[0].message.content}")

Asynchronous Streaming (Claude 4.6 Opus)

import asyncio
from openai import AsyncOpenAI

async def main():
async_client = AsyncOpenAI(
base_url="https://api.anyapi.ai/v1",
api_key="your_anyapi_token"
)

stream = await async_client.chat.completions.create(
    model="anthropic/claude-4-6-opus",
    messages=[{"role": "user", "content": "Architect a microservices system in Rust."}],
    stream=True


async for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
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if name == "main":
asyncio.run(main())`
‍)

  1. 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.

  1. 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.

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