How can you be hitting cache on what I think are novel LLM prompts …
The prompt is only novel the first time it’s sent. Then as it’s sent repeatedly as part of the previous context it’s cached.
Deepseek afaik has a novel architecture that is somewhat forgiving of cache shifts. I’ve been getting +90% cache hits with Zed’s agent and it’s not doing anything special regarding caching afaik.
multi turn sessions, they are typically in the high 90% hit rate across all providers without doing much of anything
Not them but my understanding is that the harness will send a simple 'heartbeat' message to keep the cache 'warm', (see prefix caching: https://handbook.modular.com/inference-optimization/prefix-c... ) which can then be edited/changed, which does cause the user to incur a fee, but its much less than the amount they'd pay on a no-cache hit request.