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CloudFront and Anthropic prompt caching can help at different points in a Claude integration, but they do not share a cache. Anthropic prompt caching can reuse eligible prompt content inside Claude API requests; CloudFront response caching can reuse an HTTP response when a later request matches the configured cache key and remains within its TTL. For many dynamic or personalized Claude calls, the safer design is to use prompt caching where the repeated prompt prefix qualifies and leave response caching off unless identical responses can be reused without crossing privacy or correctness boundaries.
What each cache stores
| Mechanism | What it can reuse | Where it operates | What determines reuse |
|---|---|---|---|
| Anthropic prompt caching | Eligible prompt content within a Claude API request | At the Claude API layer | Anthropic’s cache controls and eligibility rules for prompt content |
| CloudFront response caching | An HTTP response returned through a CloudFront behavior | At the HTTP delivery layer | The configured cache key and TTL policy |
A hit in one layer says nothing about whether the other layer has a hit. Prompt caching may reduce repeated input processing or cost while Claude still generates a fresh answer. CloudFront response caching may avoid a new origin/API call for a reusable response, but it does not make Claude reuse a prompt prefix.
How a Claude request moves through the layers
- The application builds the request. It sends a Claude API request, potentially through a service or proxy behind CloudFront.
- Anthropic evaluates prompt-cache reuse. Eligible repeated prompt content may be reused under Anthropic’s cache controls and billing rules.
- CloudFront checks its HTTP cache. If the request is routed through a cacheable CloudFront behavior, the configured cache key and TTL determine whether a stored response can be served.
- A cache miss proceeds toward the origin. An origin-request Lambda@Edge function runs only when CloudFront forwards the request to the origin. The origin may then call Claude.
- The response may be cached. An origin-response Lambda@Edge function runs before CloudFront caches an origin response. Whether CloudFront stores it depends on the behavior and TTL policy.
CloudFront Functions can modify cache-key values on viewer requests according to AWS’s cache-key documentation. That capability can help normalize or derive key attributes, but it does not turn CloudFront into Anthropic’s prompt cache or guarantee that an HTTP response is safe to reuse.
Choose an edge-function trigger for the job
| Lambda@Edge event | When it runs | Useful implication |
|---|---|---|
| Viewer-request | Before CloudFront’s cache lookup | Can affect a request before the cache decision. |
| Origin-request | Only when CloudFront forwards a request to the origin | It does not run for a response served directly from the edge cache. |
| Origin-response | Before CloudFront caches the origin response | It can operate on the response before the cache decision is completed. |
Use the trigger that matches the stage where a transformation or routing decision is required. Do not choose an origin event expecting it to run on every viewer request: cache hits bypass the origin-request path.
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When response caching is safe—and when it is not
CloudFront’s cache policy controls which headers, cookies, and query strings contribute to the cache key, and sets minimum, default, and maximum TTLs. If an input can change the response, requests that differ on that input must not collapse into the same cache entry.
Review every response-varying input
- Model selection and other request parameters used by the application.
- Prompt or request-body differences. Do not assume a cache policy automatically distinguishes arbitrary Claude request bodies; verify how the complete request maps to the cache key before enabling response caching.
- Authorization, tenant identity, and user-specific context. A shared cache entry must not expose one caller’s response to another.
- Relevant query-string, cookie, and header values used by the origin to create the response.
Dynamic Claude answers often depend on request content or user context, so a broadly shared response cache can return a response generated for a different request. Keep sensitive or personalized responses out of shared response caching unless the application has a demonstrably correct isolation strategy. If a safe, complete cache key cannot be established, disable response caching for that behavior rather than relying on a short TTL to fix key collisions.
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Check the minimum TTL, not only origin headers
Amazon Web Services warns: “If your minimum TTL is greater than 0, CloudFront will cache content for at least the duration specified in the cache policy’s minimum TTL, even if the Cache-Control: no-cache, no-store, or private directives are present in the origin headers.” A positive minimum TTL can therefore override an origin’s apparent instruction not to cache. Review the cache policy alongside the origin’s response headers; do not treat those headers alone as proof that a response cannot be stored.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallPrompt-cache duration and pricing are separate from CloudFront TTLs
Anthropic’s pricing page has described a five-minute prompt-cache duration as the default and a one-hour option. An older pricing-page snapshot, roughly 1.1 years old when referenced, listed five-minute cache-write tokens at 1.25 times base input-token pricing, one-hour cache-write tokens at 2 times base input-token pricing, and cache-read tokens at 0.1 times base input-token pricing. The exact snapshot date is not established here, and these figures may have changed; check Anthropic’s current pricing before estimating cost or choosing a duration.
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Those durations and multipliers concern Anthropic prompt caching, not CloudFront’s minimum, default, or maximum TTL. CloudFront’s response lifetime is configured independently in its cache policy. Do not treat a prompt-cache duration as the expiry time for an edge-cached HTTP response, or vice versa.
What to measure before calling it faster
Neither layer guarantees a latency improvement for every Claude workload. Prompt-cache usefulness depends on repeated eligible prompt prefixes; CloudFront response-cache usefulness depends on safe, reusable identical responses. Measure the behavior of the actual application rather than assuming that adding an edge function or cache improves end-to-end performance.
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- End-to-end latency, separating cache-hit and cache-miss paths where possible.
- Origin and Claude API request counts, to see whether response caching actually avoids calls.
- Prompt-cache read and write usage, to understand whether repeated prefixes are being reused and at what billing mix.
- Correctness and isolation, including whether requests that differ in response-relevant inputs ever receive the same cached response.
What remains to verify before implementation
The available documentation does not establish the current Anthropic breakpoint syntax, minimum cacheable prefix requirements, model compatibility, or an exact prompt-caching recipe for a Claude proxy. Confirm those details in Anthropic’s current implementation guidance before changing request construction. Also validate the CloudFront cache key against the application’s real request and privacy model. Without those checks, an implementation could miss prompt-cache reuse or serve a response to the wrong request even if the edge configuration appears to work.
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