------------------------------------------- import requests, os from openai import OpenAI
# Step 1: Compress messages with AgentReady res = requests.post("https://agentready.cloud/v1/comp...", headers={"Authorization": "Bearer ak_live_116e......"}, json={"messages": [{"role": "user", "content": your_text}]}) compressed = res.json()["messages"]
# Step 2: Send to YOUR LLM with YOUR key client = OpenAI(api_key=os.environ["OPENAI_API_KEY"]) response = client.chat.completions.create(model="gpt-4o", messages=compressed) -------------------------------------------
Here's everything else we shipped:
- Optimized compression — the new API compresses data more efficiently, reducing token usage further.
- OpenClaw integration — AgentReady now works seamlessly with OpenClaw.
- Benchmark page — we created a benchmark page AgentReady — Make the Web Readable for AI Agents
- PIP & NPM packages — integrate AgentReady directly into your Python or JavaScript projects with a single install.
- Token usage tracking — better visibility into how your tokens are being used.
- Self-hostable version (coming soon) — compress tokens entirely on your local machine. Nothing leaves your environment. The only external call is a license key check against our server.
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Get started in seconds We also streamlined the sign-up flow — you can now register and get your API key in less than 10 seconds here:
https://agentready.cloud/quick-key
------------------------------------------- You can find everything else here:
homepage: https://agentready.cloud/