Cache LangGraph in your API documentation bot with Crowkis
Building API documentation bots on LangGraph? Add a semantic cache so the same endpoint questions from every developer stop costing full price.
Notes from the nest · 980 posts
Engineering notes written by the people building Crowkis. Comparisons, use cases, economics, internals, security, operations, and nothing written just to rank.
Building API documentation bots on LangGraph? Add a semantic cache so the same endpoint questions from every developer stop costing full price.
Add a semantic cache to the OpenAI Node SDK so repeated and reworded questions are served for free, no rewrite, self-hosted.
MCP turns Crowkis into something an AI assistant can use deliberately, check the cache, store the answer, over plain stdio, with the banner silenced so JSON-RPC stays clean.
Every product team is duct-taping its own LLM cache right now. Platform engineering exists to end exactly this kind of duplication.
Building legal document assistants on Spring AI? Add a semantic cache so the same clauses and questions across matters stop costing full price.
Building data analysis agents on the OpenAI Python SDK? Add a semantic cache so repeated tool calls and the same analytical questions stop costing full price.
Building contract analysis tools on DSPy? Add a semantic cache so the same clause questions across documents stop costing full price.
Building customer support bots on LlamaIndex? Add a semantic cache so repeat questions from every customer, all day stop costing full price.
Durable, per-user memory for the OpenAI Node SDK agents that survives restarts and consolidates contradictions, self-hosted, zero egress.
A runaway agent or a noisy tenant can torch a budget in minutes. CKEYLIMIT sets per-tenant requests-per-minute and tokens-per-minute ceilings, enforced locally before the spend happens.
Caching ROI isn't a hockey stick, it's a staircase that starts the first hour. Here's the honest schedule of when each saving shows up.
Building education tutors on Spring AI? Add a semantic cache so students asking the same concepts thousands of times stop costing full price.
Building HR assistants on the OpenAI Python SDK? Add a semantic cache so the same policy questions from every employee stop costing full price.
Building onboarding assistants on DSPy? Add a semantic cache so every new hire asking the same first questions stop costing full price.
Building coding assistants on LlamaIndex? Add a semantic cache so the same explanations and boilerplate reasoning, dozens of times a day stop costing full price.
Add a semantic cache to the Anthropic SDK so repeated and reworded questions are served for free, no rewrite, self-hosted.
Provider prompt caching discounts your repeated prefixes. You still call the model, still wait, and still pay, just slightly less. There's a bigger idea available.
Building multi-agent systems on Spring AI? Add a semantic cache so a swarm of agents asking overlapping questions stop costing full price.
Building IT helpdesk bots on the OpenAI Python SDK? Add a semantic cache so the same tickets and fixes, endlessly stop costing full price.
Building meeting-notes summarizers on DSPy? Add a semantic cache so similar summaries requested repeatedly stop costing full price.