RESEARCH CASE / llmkit

LLMKit

Solves the lack of pre-dispatch control over AI provider cost routing and request evidence

Not a verified service

This is not a verified service. It is a research card assembled from the upstream README and metadata. The deployment contract, live deployment and Evidence are not complete.

What is this project

An AI gateway and SDK with budget controls and request evidence

What problem does it solve

Solves the lack of pre-dispatch control over AI provider cost routing and request evidence

Who it is for

  • Developers using multiple AI providers
  • teams needing cost and audit boundaries

What it can do

  • Estimated-cost budget admission
  • provider gateway
  • cost attribution
  • request evidence and MCP tools

Deployment requirements

  • A Cloudflare Worker and data layer
  • AI provider credentials
  • cost and sensitive-data policy

Known limitations

  • It is a sensitive AI infrastructure component
  • budget calculations and provider behavior need independent verification
LLMKit 架構與資料流(依研究階段架構 metadata 生成)使用者WorkerD1 資料庫KV 儲存Workers AIAI providersMCP clients
Architecture generated from research-stage metadata; deployment verification is still pending.

Current stage

Core product claims and security direction are mapped; minimal deployment and cost-oracle verification are pending

Upstream facts

License
MIT
Default branch
main
Last push
2026-08-16
Checked on
2026-08-27

Next steps

  • Fix a minimal provider set
  • compare estimated and actual cost
  • verify rejection and evidence completeness

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