Practical overview
When it fits
Use Dspy Go when the application is written in Go and needs systematic prompt engineering, composable LLM modules, automated reasoning or agent orchestration rather than one-off model calls.
Who it is for
- Go developers building LLM-powered applications
- Teams creating AI agent workflows in Go
- Developers porting DSPy-oriented logic into Go codebases
- Engineers needing reusable prompt, tool and reasoning components
Documented uses
- Define structured input and output contracts for language-model modules
- Compose reusable reasoning and agent components
- Connect applications to supported LLM providers
- Add tool use, structured output and multi-agent orchestration
- Explore or optimize LLM workflows through the CLI and documented optimizers
Requirements & limits
The project is distributed as a public MIT-licensed Go repository. The documented installation uses Go, and the technical profile identifies Linux, macOS, Windows, CLI, server and self-hosted environments.
- Go is the implementation language and the documented installation uses Go modules.
- Provider choice includes Anthropic, OpenAI, Google Gemini, Ollama and LlamaCPP.
- Modules resolve models through module-local, request-local or package-default configuration.
- Agent capabilities range from ReAct tool use to ACE and A2A orchestration.
- The repository includes both a programming API and a CLI workflow.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Install Dspy Go and build its CLI
Set up the repository and produce the documented Dspy Go command-line binary.
Before you start
- A Go development environment
- The public dspy-go repository
- A Gemini API key for the documented CLI example
Steps
Obtain the Go module with the command below.
go get github.com/XiaoConstantine/dspy-goChange to
cmd/dspy-cliin the repository.Build the binary with the command below.
go build -o dspy-cliSet the
GEMINI_API_KEYenvironment variable when using the documented Gemini CLI example.
Expected outcome
A locally built `dspy-cli` binary is available for the documented optimizer and session-log commands.
Guide limitations
- The cited setup instructions document building the CLI and configuring Gemini, but do not establish results for a particular optimizer run.
- Provider access and model behavior depend on the configured language-model service.
Compare options for Agent orchestration
These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Dspy Go | Define structured input and output contracts for language-model modules | CLI, Linux, macOS, Self-hosted | The project is distributed as a public MIT-licensed Go repository. The documented installation uses Go, and the technical profile identifies Linux, macOS, Windows, CLI, server and self-hosted environments. |
| Agenite | Define typed tools with JSON Schema validation and error handling. | CLI | |
| Veldra | Create an agent with a policy, tools, skills, knowledge base and reasoning method. | Self-hosted | The documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created. |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 3 October 2026
- Original website title
- XiaoConstantine/dspy-go · Official homepage title · retained in its source language

