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Go LLM SDK for streaming, tool-calling AI backends (plus frontend React lib)

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#streaming#tool-calling#backends#plus#frontend
Go LLM SDK for streaming, tool-calling AI backends (plus frontend React lib)
TL;DR · WeSearch summary

Call language models, stream responses, execute tools, and serve AI-powered endpoints from Go. Use the SDK on its own or pair it with an AI SDK React frontend. Quick start · Documentation · Examples · API reference Why The SDK gives Go applications one API for model calls, streaming, tools, structured output, and multi-step agents across supported providers.

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Original publisherGitHub
Canonical URLhttps://github.com/grafana/ai-sdk
Publication timeThu, 30 Jul 2026 11:55:39 +0000
Retrieval time2026-07-30T12:09:30.641Z
Last seen2026-07-30T12:09:30.641Z
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Call language models, stream responses, execute tools, and serve AI-powered endpoints from Go. Use the SDK on its own or pair it with an AI SDK React frontend. Quick start · Documentation · Examples · API reference Why The SDK gives Go applications one API for model calls, streaming, tools, structured output, and multi-step agents across supported providers. It follows the design of Vercel's AI SDK and stays wire-compatible with its TypeScript frontend hooks. A Go endpoint can stream Server-Sent Events (SSE) directly to hooks such as useChat. Go backend React frontend ────────── ────────────── aisdk.StreamText(...) ── SSE ──▶ useChat({ transport }) aisdk.WriteUIMessageStream(w, …) // same protocol See How a request runs for the generation, tool, and streaming flow.

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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