Guides & Strategies7 min read•Updated July 2026
Framework Integrations
Seamless setup for LangChain, LlamaIndex, CrewAI, AutoGen, and FastAPI.
FastAPI Compression Middleware
Compress outgoing LLM prompts or incoming RAG payloads at the API gateway layer:
server.py
from fastapi import FastAPI, Request
from llmslim import compress
app = FastAPI()
@app.post("/v1/chat/completions")
async def generate_response(payload: dict):
# Intercept system prompt and compress
raw_prompt = payload["messages"][0]["content"]
slim_prompt = compress(raw_prompt, target_ratio=0.5).compressed_text
payload["messages"][0]["content"] = slim_prompt
# Forward compressed payload to LLM provider
return {"status": "dispatched", "compressed_length": len(slim_prompt)}Frequently Asked Questions
Is there a LangChain DocumentTransformer available?
Yes. You can use LLMSlimContextCompressor directly as a retriever post-processor or document transformer.