Jev in production › SDKs and workflow integrations
go-llm
Go client library exposes a typed llm.Classify interface so classifier and decision models such as Jev, Clef and GPT-6 Luna can be called through one typed call.
- Use
- SDKs and workflow integrations
- Industry
- Developer tools
- Form
- Open-source tool
- Stage
- Announced
- Listed
- 2026-10-25
- Found via
- github
- Repository
- pkieltyka/go-llm
- Stars
- 5
- Forks
- 0
- Last push
- 2026-10-29
- Language
- Go
- License
- MIT
The README opens with
One clean Go interface to chat LLMs — Anthropic, OpenAI, ChatGPT subscription plans, OpenRouter, and self-hosted servers (vLLM, Ollama, any OpenAI-compatible endpoint) — with normalized streaming, tool calling, structured output, reasoning, usage, cost, and errors. It also speaks to classifier (decision) models such as Jev, Clef and GPT-6 Luna.
go-llm is a low-level provider client library: it does one layer well and stops there. No agent loops, no prompt frameworks, no magic. The core package has zero third-party dependencies; official vendor SDKs are used where they exist and pulled in only by the provider package you import.
Badge
For the project's own README, linking back here:
Also used for sdks and workflow integrations
- JarvisCore (Prescott Data) 434 ms median warm
- Jev for Apple Foundation Models 40–150ms
- Laravel Jev 70–500ms
- JevForce 11.1×
- Semantic Validator 90
- openpave-jev 35 to 500 milliseconds
- Yao Agents 70–500ms
- Juspay NeuroLink ~$0.00002/decision