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Grafana releases Go LLM SDK with streaming and tool-calling support

Grafana released an open-source Go LLM SDK that supports streaming and tool-calling, along with a React frontend library. The SDK aims to simplify building AI-powered applications by providing a unified interface for multiple AI backends.

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Grafana Releases Go LLM SDK: Bridging AI Backend and React Frontend with Streaming

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Grafana open-sourced a Go AI SDK that provides a unified interface for streaming text generation, tool calling, and multi-step agents, with native compatibility with Vercel AI SDK's React frontend hooks, enabling Go backends to push Server-Sent Events directly to React clients.

  • Grafana releases Go AI SDK supporting streaming responses, tool calling, structured output, and multi-step agents.
  • SDK design follows Vercel AI SDK specification, maintaining wire compatibility with React frontend library @ai-sdk/react.
  • Go backend can directly interface with React hooks like useChat, useCompletion, useObject via SSE protocol.
  • Built-in support for multiple providers: Anthropic, Amazon Bedrock, OpenAI and OpenAI-compatible APIs, Grafana managed endpoints.
  • Production-grade controls: timeouts, fallbacks, logging, Prometheus metrics, and Agent observability.
  • Project licensed under Apache 2.0; contributors must follow upstream Vercel AI SDK interface consistency conventions.
Open section navigationUnified API and Streaming Compatibility

Unified API and Streaming Compatibility

The Grafana AI SDK provides a single API for Go applications to call language models, stream responses, execute tools, generate structured output, and run multi-step agents. Its core design follows the Vercel AI SDK interface pattern and maintains wire compatibility—Go backends can push data directly to React frontend hooks (e.g., useChat) via Server-Sent Events (SSE) without a protocol adaptation layer.

The SDK offers two core functions: StreamText and GenerateText, for streaming responses or waiting for complete results, with support for retries and multi-step tool execution. Additionally, the WriteUIMessageStream function writes message streams to HTTP responses for communication with React frontends.

Multi-Provider and Production-Grade Features

The SDK includes built-in support for multiple model providers, including Anthropic, Amazon Bedrock, OpenAI and OpenAI-compatible APIs, as well as managed endpoints for Grafana internal services. Developers only need to install the core module and corresponding provider packages for quick integration.

For production environments, the SDK provides controls such as timeout configuration, fallback mechanisms, logging, Prometheus metrics collection, and Agent observability. Tool calling supports invoking models from ordinary Go functions and can set approval workflows for critical operations.

Open Source License and Contribution Conventions

The project is licensed under Apache 2.0, designed with reference to the Vercel AI SDK (also Apache 2.0), and includes attribution information in the NOTICE file. Contributors must follow two special conventions: maintain interface consistency with the upstream Vercel AI SDK, and adopt OpenSpec for specification-driven development.

Credibility boundary

This article's information comes from Grafana's public GitHub repository README and project documentation, which are primary official sources. All feature descriptions are based on the project's self-description without external verification.

Insight takeaway

The Grafana AI SDK provides Go developers with a seamless AI backend path integrated with React frontends, reducing the complexity of frontend-backend protocol adaptation in full-stack AI application development.

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