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Documentation Index

Fetch the complete documentation index at: https://opencompress.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

If you prefer not to use the OpenAI SDK, you can call the API directly.

Basic usage

import requests

response = requests.post(
    "https://www.opencompress.ai/api/v1/chat/completions",
    headers={
        "Authorization": "Bearer sk-occ-your-key-here",
        "Content-Type": "application/json",
    },
    json={
        "model": "gpt-4o-mini",
        "messages": [
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": "What is prompt compression?"},
        ],
    },
)

data = response.json()
print(data["choices"][0]["message"]["content"])

Streaming with requests

import requests
import json

response = requests.post(
    "https://www.opencompress.ai/api/v1/chat/completions",
    headers={
        "Authorization": "Bearer sk-occ-your-key-here",
        "Content-Type": "application/json",
    },
    json={
        "model": "gpt-4o",
        "messages": [{"role": "user", "content": "Explain black holes."}],
        "stream": True,
    },
    stream=True,
)

for line in response.iter_lines():
    if line:
        text = line.decode("utf-8")
        if text.startswith("data: ") and text != "data: [DONE]":
            chunk = json.loads(text[6:])
            content = chunk["choices"][0].get("delta", {}).get("content", "")
            if content:
                print(content, end="", flush=True)

Async with httpx

import httpx

async def compress_and_call():
    async with httpx.AsyncClient() as client:
        response = await client.post(
            "https://www.opencompress.ai/api/v1/chat/completions",
            headers={
                "Authorization": "Bearer sk-occ-your-key-here",
                "Content-Type": "application/json",
            },
            json={
                "model": "gpt-4o-mini",
                "messages": [
                    {"role": "user", "content": "Summarize the latest AI news."},
                ],
            },
        )
        return response.json()