Quickstart: LangChainGo with OpenAI

Dive right into executing your first program utilizing LangChainGo in tandem with OpenAI. OpenAI's GPT models are renowned for their proficiency and expansive capabilities.

Pre-requisites

1. OpenAI API Key: Sign up on OpenAI and retrieve your API key.
2. Go: Download and install Go.

Steps

1. Set up your OpenAI API Key: Before interacting with the OpenAI API, ensure that you've set up your API key. Typically, this is done by setting an environment variable. In your terminal, run the command:

export OPENAI_API_KEY=your_openai_api_key_here

2. Run the Example: Execute the following command:

go run github.com/tmc/langchaingo/examples/openai-completion-example@main

Anticipate an output similar to the one below:

The first man to walk on the moon was Neil

Congratulations! You've successfully built and executed your first LangChainGo LLM-backed program using OpenAI's cloud-based inference.

Here is the entire program (from openai-completion-example).

package main

import (
	"context"
	"fmt"
	"log"

	"github.com/tmc/langchaingo/llms"
	"github.com/tmc/langchaingo/llms/openai"
)

func main() {
	llm, err := openai.New()
	if err != nil {
		log.Fatal(err)
	}
	ctx := context.Background()
	completion, err := llm.Call(ctx, "The first man to walk on the moon",
		llms.WithTemperature(0.8),
		llms.WithStopWords([]string{"Armstrong"}),
	)
	if err != nil {
		log.Fatal(err)
	}

	fmt.Println(completion)
}