feat(litellm): add litellm extension - #30115
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Lp-Francois wants to merge 4 commits into
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- chore: rename store screenshots and add share-usage shot - feat: hide zero-spend or zero-request models from shared usage - chore: add screenshots and changelog for Raycast Store submission - feat: add LiteLLM usage tracking Raycast extension
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Congratulations on your new Raycast extension! 🚀 We're currently experiencing a high volume of incoming requests. As a result, the initial review may take up to 15 business days. Once the PR is approved and merged, the extension will be available on our Store. |
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Greptile SummaryThe PR adds a LiteLLM extension for viewing daily and month-to-date usage from Raycast.
Confidence Score: 5/5The PR appears safe to merge. No blocking failure remains. Important Files Changed
Reviews (4): Last reviewed commit: "fix: add red tier for spend at or above ..." | Re-trigger Greptile |
…references type Addresses Greptile review on raycast#30115: - fetchKeyInfoCached now keys the cache by a hash of baseUrl + virtual key, so switching proxy/key no longer surfaces another key's budget info - remove the local Preferences interface in favour of the generated global type
The monorepo tsc --noEmit check has no @types/node, so importing node:crypto failed CI. Use a small FNV-1a hash instead (only namespaces the key-info cache).
Lp-Francois
marked this pull request as ready for review
August 10, 2026 13:55
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Description
TLDR: At work, we use liteLLM as our AI gateway, this extension will be very useful to track the daily usage and month-to-date usage to be careful of tokens consumption.
PS: yes liteLLM icon is really just the bullet train emoji 🚅 (https://www.litellm.ai/) 😭
Adds LiteLLM, an extension to track your LiteLLM proxy usage: spend, tokens, and requests, etc without leaving Raycast.
LiteLLM is an open-source (GitHub, docs) LLM gateway/proxy that gives you a single OpenAI-compatible endpoint in front of 100+ model providers (OpenAI, Anthropic, Bedrock, Gemini, Azure, and more). Teams run a LiteLLM proxy to centralize API keys, set per-user budgets, and track cost across every model. This extension surfaces that per-key usage data (normally only visible in the LiteLLM dashboard) directly in Raycast.
It contains bother a Usage command and a Menu bar item.
Screencast
Simple recording:
Screen.Recording.2026-08-10.at.16.15.07.mov
Screen.Recording.2026-08-10.at.16.20.45.1.mov
Screenshots:
Menu bar:

Checklist
npm run buildand tested this distribution build in Raycastassetsfolder are used by the extension itselfREADMEare placed outside of themetadatafolder