PromptCacheAI: Your LLM’s Memory Layer

Cache prompts and responses. Avoid duplicate LLM calls. Save time, tokens, and money — all while speeding up your AI app.

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How it works

A simple, explicit flow that gives you full control — and keeps you provider-agnostic.

1) Check the cache first

Send your prompt to /chat. If we’ve seen it, you get the saved response instantly.

Included: Similarity matching serves near-duplicate prompts from cache.

2) No hit? Call your LLM

Keep your provider keys and features (streaming, retries, custom params). PromptCacheAI is provider-agnostic —

  • • No lock-in — switch models anytime
  • • Full observability of your outbound requests
  • • Apply your own safety/PII filters before saving

3) Save the response

Store it with /cache/save using the provided prompt_hash. Next time it’s faster and cheaper, with your configured TTL.

  • • Per-namespace TTL controls
  • • Per-user isolation & multi-tenant safety
  • • Usage metrics and hit-rate dashboards

calls on a miss — still simple

// 1) Check cache
      const { cached, response, prompt_hash } = await pc.fetch('/chat', { prompt, namespace, provider, model });

      // 2) If miss, call your LLM (keep your API keys, streaming, and retries)
      const live = cached ? response : await llm.generate(prompt);

      // 3) Save back to cache (only when miss)
      if (!cached) await pc.fetch('/cache/save', { prompt_hash, namespace, response: live });

      return live;

Why this is better: you keep control of provider features, secrets, and costs — PromptCacheAI adds a fast, similarity-aware memory layer on top.

Provider-agnostic compatibility

Works with all major LLMs — OpenAI, Claude, Gemini, custom LLMs, and more.

OpenAI (GPT-5/4o)Anthropic (Claude)Google (Gemini)Custom / Self-hosted

Build and test your AI application without burning tokens

PromptCacheAI lets you replay real LLM responses during development. Once a prompt is cached, you can iterate on UI, logic, and flows without making repeated calls to your AI provider.

  • • Test UI and workflows using cached responses
  • • Run demos without live LLM API keys once responses are cached
  • • Avoid surprise token bills during development
  • • Safely load-test your app using cached results

Why developers choose PromptCacheAI

  • ⚡ Faster apps: Cut response times for repeated calls.
  • 💸 Lower costs: Avoid paying for duplicate requests.
  • 🧠 Similarity search: Serve near-duplicate prompts from cache.
  • ⏱️ Configurable TTLs: Control cache lifetime per namespace.
  • 🔒 Per-user isolation: Namespaces are scoped for safety.
  • 🧩 Provider-agnostic: Works with all major LLMs and more.
  • 🧪 Dev & test friendly: Reuse cached responses to test flows without LLM costs.

Example

curl https://api.prompt-cache.ai/v1/chat \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  -d '{
    "namespace": "support-bot",
    "provider": "openai",
    "model": "gpt-4o",
    "prompt": "How do I reset my password?"
  }'

Tip: Set a namespace TTL to control how long responses stay hot.

Stop paying twice for the same LLM call.

Join developers saving tokens and speeding up applications with PromptCacheAI.

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