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Theo caches completion responses semantically. Identical requests (same prompt, mode, skills, and tools) return cached results instantly at zero cost.

How It Works

  1. Theo generates a deterministic cache key from the request parameters (prompt, mode, skills, tools)
  2. Checks the server-side cache for a matching entry
  3. On hit: returns the cached response immediately — zero cost, sub-10ms latency
  4. On miss: runs the full orchestration pipeline, caches the result, and returns it
Cached responses include "_cached": true in the response body so you can detect cache hits.

Cache Key Computation

The cache key is a deterministic hash of:
  • Prompt text (exact match)
  • Mode (auto, fast, think, etc.)
  • Active skill slugs
  • Inline tool definitions
Requests with a conversation_id are never cached, since they depend on conversation history that changes between calls.

TTL Behavior

Cache entries expire automatically based on the content type: TTLs are managed server-side and optimized for freshness vs. cost savings.

Cache Scope

  • Cache is per-user — your cached responses are not shared with other accounts
  • Cache is per-key scoped when org-level keys are used

Detecting Cache Hits

Cost Impact

For applications with repetitive queries (chatbots, dashboards, classification), semantic caching can reduce costs by 30–60%. Monitor your cache hit rate in the Usage Dashboard.