Automatically trim and optimize your LLM prompts with intelligent context engineering.
Large-language models only “remember” a fixed slice of text called the context window. Every token you send, or the model replies with, gets billed by your AI provider. Contextus ranks and trims that window on the fly, keeping only what matters, so your prompts stay sharp and your token bill drops by up to 30 percent.
Contextus plugs in whether you’re vibe coding prototypes or building with agent pipelines. By trimming unneeded history, your LLM calls run smaller, faster, and truer to your intents.
Cuts 25-40 % of tokens per request without touching model quality.
Stay on your current GPT or Claude tier, Contextus makes it fit.
We drop irrelevant lines, never summarize or modify your data.
Powerful tools to make your LLM applications more efficient and cost-effective.
Intelligently rank and filter context by relevance to your query.
Enforce custom rules and constraints for context selection.
Track token usage and optimize costs with detailed insights.
Integrate context optimization into your workflow with just a few lines of code.
|Watch your token usage and costs optimize in real-time.
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