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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
  1. 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)
}