Deployment guide
Azure Functions deployment
Azure Functions integrates with the Microsoft ecosystem. SuperCompress runs as a lightweight Python function, compressing prompts before they reach Azure OpenAI.
Azure Function handler
import azure.functions as func
from supercompress import Compressor
comp = Compressor()
def main(req: func.HttpRequest) -> func.HttpResponse:
body = req.get_json()
result = comp.compress(body["context"], body["query"])
return func.HttpResponse(
json.dumps({"compressed_text": result.compressed_text}),
mimetype="application/json"
)Frequently asked questions
Does it work with Azure OpenAI?
Yes. Use compressed text as input to Azure OpenAI's chat completions.
What pricing plan is recommended?
Consumption plan for low volume, Premium plan for production workloads.
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.