Integration guide
FastAPI compression middleware
FastAPI is the most popular Python web framework for AI backends. Add SuperCompress as middleware to automatically compress all LLM-bound requests.
Middleware implementation
from fastapi import FastAPI, Request
from supercompress import Compressor
app = FastAPI()
comp = Compressor()
@app.middleware("http")
async def compress_prompts(request: Request, call_next):
if request.url.path == "/api/llm/chat":
body = await request.json()
context = body.get("context", "")
query = body.get("query", "")
if context and query:
result = comp.compress(context, query)
body["context"] = result.compressed_text
request._body = json.dumps(body).encode()
return await call_next(request)
Frequently asked questions
Does this work with streaming endpoints?
Yes. Compress the request body before the streaming response starts.
Can I exclude certain endpoints from compression?
Yes. Check the request path and skip compression for non-LLM endpoints.
Build with less context
Put compression in front of your next LLM call.
Use the hosted API or run SuperCompress locally. Keep the evidence, drop the token waste, and measure the savings before it reaches your model.