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How to Use an API with Python: Requests, HTTPX, and OpenAI SDK

Direct Answer & Overview

A practical Python tutorial for calling RESTful and AI APIs using the Requests library, async HTTPX, and official SDKs with connection pooling, retries, and JSON parsing.

1.Making HTTP Requests with the `requests` Library

The `requests` library is the standard for synchronous HTTP in Python. Sending a POST request involves passing the endpoint URL, headers dictionary, and a `json=` parameter which automatically serializes Python dictionaries into JSON strings.

2.Asynchronous High-Concurrency Calls with HTTPX

When dispatching hundreds of simultaneous API requests (such as batch document processing), synchronous code blocks execution. Python's `httpx.AsyncClient` with `asyncio.gather()` allows sending concurrent requests without spawning heavy OS threads.

3.Using the OpenAI Python SDK with API100 Gateway

Because API100 adheres to the standard OpenAI REST specification, developers can use the official `openai` Python package. Simply configure `base_url='https://api.apihundred.com/v1'` to access GPT-6, Claude 5, Gemini 3.8, and DeepSeek-R1 seamlessly.

Concurrent Asynchronous API Calls with HTTPX in Pythonpython

import asyncio
import httpx

async def fetch_completion(client, prompt):
    response = await client.post(
        "https://api.apihundred.com/v1/chat/completions",
        headers={"Authorization": "Bearer your_key"},
        json={"model": "deepseek-v3", "messages": [{"role": "user", "content": prompt}]}
    )
    return response.json()["choices"][0]["message"]["content"]

async def main():
    prompts = ["Summarize quantum computing", "Explain vector databases", "What is an API gateway?"]
    async with httpx.AsyncClient(timeout=30.0) as client:
        tasks = [fetch_completion(client, p) for p in prompts]
        results = await asyncio.gather(*tasks)
        for i, res in enumerate(results):
            print(f"Task {i+1} Output: {res[:60]}...")

asyncio.run(main())

Frequently Asked Questions

What is the difference between requests and httpx in Python?

Requests is strictly synchronous. HTTPX supports both synchronous and async/await syntax, along with native HTTP/2 support.

How do I handle timeouts in Python requests?

Always specify timeout in seconds: requests.post(url, timeout=10) to avoid hanging indefinitely on stalled connections.

Can I use Python typing with API responses?

Yes, combining Pydantic models with API responses gives type validation and auto-complete in VS Code and PyCharm.

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import asyncio import httpx async def fetch_completion(client, prompt): response = await client.post( "https://api.apihundred.com/v1/chat/completions", headers={"Authorization": "Bearer your_key"}, json={"model": "deepseek-v3", "messages": [{"role": "user", "content": prompt}]} ) return response.json()["choices"][0]["message"]["content"] async def main(): prompts = ["Summarize quantum computing", "Explain vector databases", "What is an API gateway?"] async with httpx.AsyncClient(timeout=30.0) as client: tasks = [fetch_completion(client, p) for p in prompts] results = await asyncio.gather(*tasks) for i, res in enumerate(results): print(f"Task {i+1} Output: {res[:60]}...") asyncio.run(main())