Make your agents perform at their peak. Slash latency and get sub-second responses with a multi-layer caching engine designed for agentic workloads.
import OpenAI from "openai";
import { Alchymos } from '@alchymos/openai';
const openai = new OpenAI(process.env.OPENAI_API_KEY);
const alchymos = new Alchymos(process.env.ALCHYMOS_API_KEY);
alchymos.withLlm(openai);
const response = await openai.chat.completions.create(params);Purpose-built infrastructure for the next generation of AI agents.
Integrate in minutes with our drop-in SDK. No complex configuration or infrastructure changes required.
Offload repetitive queries to our global edge network. Reduce latency and server load.
Cut your LLM API costs significantly by serving cached responses for identical queries.
Low-latency responses from anywhere in the world, powered by our distributed edge infrastructure.
See what your agents see. Detailed dashboards for cache hit rates, latency, and costs.
Type-safe, zero-config SDK with first-class TypeScript support, and full Intellisense for fast integration.
A multi-layer, multi-level fine-grained cache designed specifically for LLM workloads. Reduce latency and costs without sacrificing relevance.
Monitor cache effectiveness and performance in real-time with detailed hit rate analytics and bandwidth savings.
Configure exactly what gets cached and for how long. Create rules based on provider, model, user, or custom metadata.
Define precise rules with TTLs, priority levels, and custom tags for powerful cache control.
Cache based on meaning, not just exact string matches.
Stop flying blind. Alchymos gives you deep visibility into your AI traffic. Track costs, debug latency spikes, and audit agent decisions in real-time.
Track token usage, latency, and error rates by user, team, or agent. Drill down into specific timeframes to identify usage patterns and anomalies.
Monitor request latency and cache hit/miss durations in real time. Drill into p50 and p90 response times, identify cache misses, and correlate upstream latency to improve agent performance.
Average duration (ms) for cache hits and misses
Debug failures by replaying exact request sequences. Identify cache misses and optimize your prompt chains with full visibility into every request step.
Visualize your token consumption and cost savings in real-time. Understand exactly how much Alchymos is optimizing your AI spend.
Drastically reduce your token usage by caching repetitive prompts and responses. Alchymos handles the complexity of semantic matching to maximize hit rates.
Turn your AI cost center into a predictable utility. Monitor accumulated savings and ROI in real-time as you scale your agent fleet.
Drop-in compatibility with the most popular AI frameworks and providers. No complex migration required. Just change the base URL or use our lightweight SDK.
import OpenAI from "openai";
import { Alchymos } from '@alchymos/openai';
const openai = new OpenAI(process.env.OPENAI_API_KEY);
const alchymos = new Alchymos(process.env.ALCHYMOS_API_KEY);
alchymos.withLlm(openai);
const response = await openai.chat.completions.create(params);Plug into OpenAI, MCP, or Vercel AI with zero friction. Python ecosystem (LangChain/LangGraph) coming soon, plus bespoke integrations on request.
TypeScript
TypeScript
TypeScript
Python (coming soon)
Python (coming soon)
Any Language (upon request)
Try Alchymos — speed up your agents, cut costs, and improve reliability.