A measure-first layer that reduces token use of LLM requests: token accounting, exact repeated-context removal, bounded tool-output trimming, an exact-match cache that needs a tenant scope, retries and fallback, and an evaluation harness that compares quality before and after. Standard library plus ragleap-security. Every step reports what it changed and whether it can lose information. Not independently audited.
Cross-referenced across 55 tracked directories
#9269
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
7/4/2026
Created
20
GitHub Stars
20
Forks
124
Open Issues
11/5/2026
Last Commit
Recently added to the ecosystem
vercel-release-bot
This package provides a foundation for implementing providers that expose an OpenAI-compatible API.
vercel-release-bot
The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.
...moretannerlinsley
OpenAI adapter for TanStack AI chat, tools, images, video, speech, transcription, realtime, and structured outputs.