An Golang native implementation to easily interacting with OpenAI API.
https://beta.openai.com/docs/api-reference/
You can use environment variable to store API secret key
export OPENAI_KEY=[YOUR_KEY]
To initialize engine, use this:
e := openai.New(os.Getenv("OPENAI_KEY"))
If you want to use the most powerful model to generate text outputs, ensure that you are using "text-davinci-003". This model is defined as constant openai.ModelTextDavinci003
.
You can use the bundle Completion+Edit to regenerate the response based on the last context.
e := openai.New(os.Getenv("OPENAI_KEY"))
ctx := context.Background()
completionResp, err := e.Completion(ctx, &openai.CompletionOptions{
// Choose model, you can see list of available models in models.go file
Model: openai.ModelTextDavinci001,
// Number of completion tokens to generate response. By default - 1024
MaxTokens: 1200,
// Text to completion
Prompt: []string{"Write a little bit of Wikipedia. What is that?"},
})
editResp, err := e.Edit(ctx, &EditOptions{
Model: ModelTextDavinci001,
Input: completionResp.Choices[0],
Instruction: "Please rewrite a bit more and add more information about Wikipedia in different aspects. Please build based on that for 4 topics",
})
Given a prompt, the model will return one or more predicted completions.
Note: the default number of completion tokens is 1024, if you want to increase or decrease this limit, you should change MaxTokens
parameter.
e := openai.New(os.Getenv("OPENAI_KEY"))
r, err := e.Completion(context.Background(), &openai.CompletionOptions{
// Choose model, you can see list of available models in models.go file
Model: openai.ModelTextDavinci001,
// Number of completion tokens to generate response. By default - 1024
MaxTokens: 1200,
// Text to completion
Prompt: []string{"Write a little bit of Wikipedia. What is that?"},
})
You will get the next output:
{
"id": "cmpl-6SrcYDLCVT7xyHKVNuSLNuhRvwOJ1",
"object": "text_completion",
"created": 1672337322,
"model": "text-davinci-001",
"choices": [
{
"text": "\n\nWikipedia is a free online encyclopedia, created and edited by volunteers.",
"index": 0,
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 11,
"completion_tokens": 15,
"total_tokens": 26
}
}
To get only the text you should use the next code:
fmt.Println(r.Choices[0].Text)
So, the full code will be:
package main
import (
"context"
"encoding/json"
"log"
"os"
"testing"
"github.com/0x9ef/openai-go"
)
func main() {
e := openai.New(os.Getenv("OPENAI_KEY"))
r, err := e.Completion(context.Background(), &openai.CompletionOptions{
// Choose model, you can see list of available models in models.go file
Model: openai.ModelTextDavinci001,
// Text to completion
Prompt: []string{"Write a little bit of Wikipedia. What is that?"},
})
if b, err := json.MarshalIndent(r, "", " "); err != nil {
panic(err)
} else {
fmt.Println(string(b))
}
// Wikipedia is a free online encyclopedia, created and edited by volunteers.
fmt.Println("What is the Wikipedia?", r.Choices[0].Text)
}
Lists the currently available models, and provides basic information about each one such as the owner and availability.
e := openai.New(os.Getenv("OPENAI_KEY"))
r, err := e.ListModels(context.Background())
if err != nil {
log.Fatal(err)
}
You will get the next output:
{
"data": [
{
"id": "babbage",
"object": "model",
"owned_by": "openai"
},
{
"id": "ada",
"object": "model",
"owned_by": "openai"
},
{
"id": "text-davinci-002",
"object": "model",
"owned_by": "openai"
},
{
"id": "davinci",
"object": "model",
"owned_by": "openai"
},
...
]
}
To retrieve information about specified model instead of all models, you can do this:
e := openai.New(os.Getenv("OPENAI_KEY"))
r, err := e.RetrieveModel(context.Background(), &openai.RetrieveModelOptions{
ID: openai.ModelDavinci,
})
if err != nil {
log.Fatal(err)
}