docs: LLM caching strategy guide#3
Open
OfficialAbhinavSingh wants to merge 3 commits into
Open
Conversation
Merged
40e8ce5 to
ff9dc7a
Compare
Contributor
|
@OfficialAbhinavSingh , this is way too much for a planner we want just a planner not a research paper please be concise with what we have to implement and why we have to implement it. |
Collaborator
Author
@Viscous106 Revised the planner for a simpler review and implementation process |
… correct cache thresholds
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Adds comprehensive LLM caching reference covering prompt caching (Anthropic/OpenAI), semantic caching, KV cache (vLLM/SGLang), and cache-aware
RAG. Includes implementation code for all 4 layers, decision flowchart, verified pricing, and prerequisites. Relevant to our Groq→Anthropic→OpenAI routing stack and Redis caching layer.