aider-1h-ttl
Aider uses 5min TTL by default and works around long pauses with keepalive pings. Wire up the 1h TTL beta instead.
Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools.
$ npx -y skills add OnlyTerp/prompt-cache-skills --skill continue-enable-defaults --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/continue-enable-defaultsContext preview
The summary Claude sees to decide when to auto-load this skill.
Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools.
name: continue-enable-defaults description: Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools. target_harness: Continue target_repo: continuedev/continue target_files: - packages/openai-adapters/src/apis/Anthropic.ts - core/llm/llms/Bedrock.ts target_commit: main (last push 2026-05-26) estimated_savings: 90% input discount for every user who hasn't manually configured caching (most of them)
`packages/openai-adapters/src/apis/Anthropic.ts` and `core/llm/llms/Bedrock.ts` in `continuedev/continue`.
Continue's caching is gated on three config flags:
A user has to know all three exist and set them in `config.yaml`. Most don't. Net effect: the median user gets no caching.
Open issue #5172 ("Anthropic prompt caching doesn't work") is mostly this — users don't realize they need to configure it.
In `Anthropic.ts`:
--- a/packages/openai-adapters/src/apis/Anthropic.ts +++ b/packages/openai-adapters/src/apis/Anthropic.ts @@ - const cachingStrategy = CACHING_STRATEGIES[this.config.cachingStrategy ?? "systemAndTools"]; + // Default to caching system + tools. Users on supported models pay + // the 1.25x write premium on the first call and get 0.1x on every + // subsequent call within 5 minutes — strict win above ~3 reads. + const cachingStrategy = CACHING_STRATEGIES[this.config.cachingStrategy ?? "systemAndTools"];
(`systemAndTools` already IS the documented default in the code path above, but the user-facing config schema treats it as optional with unclear default. Audit your codebase to confirm the actual fallback behavior matches the documented one. If not, fix.)
@@
- if ((this.config.cachingStrategy ?? "systemAndTools") !== "none") {
- addCacheControlToLastTwoUserMessages(result.messages);
+ // Auto-enable for any model that declares supportsPromptCache.
+ // User can still opt out with cachingStrategy: "none".
+ const strategy = this.config.cachingStrategy ?? "systemAndTools";
+ if (strategy !== "none" && this.modelSupportsPromptCache()) {
+ // NOTE: this is currently buggy — see continue-fix-volatile-msg
+ // skill for the volatile-message fix that should land alongside.
+ addCacheControlToLastTwoUserMessages(result.messages);
}Same change in `Bedrock.ts` — auto-enable `cachePoint` for models with `supportsPromptCache: true` unless user explicitly opts out.
Users coming from older Continue versions will see bills shift (downward, but still a change). Add a CHANGELOG entry calling out that caching is now default-on for supported models.
1. With NO `cacheBehavior` or `completionOptions.promptCaching` set in config.yaml, start a Continue chat with Claude. 2. Capture wire. 3. Confirm outbound request body contains `cache_control` markers without any user config touching them. 4. Confirm second-turn response `usage.cache_read_input_tokens > 0`.
Caching that requires a config flag to enable is caching that doesn't get used. The 1.25x write premium pays for itself after ~3 reads, which any multi-turn chat clears trivially. There's no scenario where "caching off" is the right default for an agent CLI on a model that supports it.
This skill is best applied alongside [continue-fix-volatile-msg](../continue-fix-volatile-msg/SKILL.md) (same Cline-family copy-paste bug present in Continue too) so users don't get the cache thrash without knowing.
Full audit: [audits/continue.md](../../audits/continue.md).
Drop-in prompt-caching fixes for the LLM agent harness you use. Point your AI coding agent at this repo and it ships the patches.
Aider uses 5min TTL by default and works around long pauses with keepalive pings. Wire up the 1h TTL beta instead.
Aider's --cache-prompts is off by default. Flip it on for supported models.
Ladder-aware Cline Anthropic caching — verify the rolling read/write ladder on the wire, then add the tools breakpoint and tune…
Cline OpenAI native provider sends no prompt_cache_key. Add a stable per-task key so cached_tokens stops being zero.
Cline's system prompt includes a timestamp that may be recomputed per request, invalidating the system-prompt cache.
Ladder-aware Continue Anthropic caching — verify the rolling ladder on the wire, then enable it by default and add TTL coverage.