Skip to content

Add Foveance (context-compression proxy) to LLM Inference #707

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Aimaghsoodi wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Add Foveance (context-compression proxy) to LLM Inference #707

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -475,6 +475,7 @@
- [Liger-Kernel](https://github.com/linkedin/Liger-Kernel) - Efficient Triton Kernels for LLM Training.
- [prima.cpp](https://github.com/Lizonghang/prima.cpp) - A distributed implementation of llama.cpp that lets you run 70B-level LLMs on your everyday devices.
- [deploy-llms-with-ansible](https://github.com/xamey/deploy-llms-with-ansible) - Easily deploy any LLM on a VM with minimal configuration, using Ansible.
- [Foveance](https://github.com/aimaghsoodi/foveance) - Drop-in OpenAI/Anthropic-compatible proxy that anticipatorily compresses long agent context under a token budget, cutting input tokens 60%+ at matched accuracy (works with Claude Code, Codex, and Ollama).

</details>

Expand Down