Integrate AI models and services into Go applications via a unified SDK.
npx skills add https://github.com/zendev-sh/goai --skill goai-sdk
Please help me install this Agent Skill. Skill: goai-sdk Source: https://github.com/zendev-sh/goai/tree/main Command: npx skills add https://github.com/zendev-sh/goai --skill goai-sdk
This Skill provides a comprehensive set of AI capabilities for developers, simplifying the integration of various AI services and models into Go applications.
Import the GoAI SDK and start generating text with OpenAI:
package main
import (
"context"
"log"
"github.com/zendev-sh/goai"
"github.com/zendev-sh/goai/provider/openai"
)
func main() {
model := openai.Chat("gpt-4o")
result, err := goai.GenerateText(context.Background(), model, goai.WithPrompt("What is the capital of France?"))
if err != nil {
log.Fatal(err)
}
log.Println(result.Text)
}
High-intent search queries and answers about installing and using this skill.
To integrate multiple AI providers in Go, use a unified SDK to access over 25 services like OpenAI and Anthropic through a single API. This simplifies text generation and embeddings without managing separate vendor libraries.
Yes, AI text generation in Go can produce structured output and execute multi-step tool loops. This SDK provides functionalities for structured data extraction and agentic workflows within your Go applications.
Generating text with cloud AI models requires Go 1.25 or higher and valid API keys or credentials for your chosen provider. You must configure these credentials in your environment before making API calls.
Yes, the Go AI SDK supports image generation and embeddings alongside natural language processing. It provides functionalities for text generation, image creation, and vector embeddings across 25+ AI providers.
The best way to standardize AI interactions across AWS Bedrock and Google Vertex AI in Go is using a unified SDK. It abstracts provider differences, enabling consistent text generation and embeddings across platforms.
You need an MCP client when building AI chatbots in Go to facilitate multi-step tool loops and external function calls. This enables the model to interact with external tools and execute complex workflows autonomously.
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