Here are the key points on how to use the go-anthropic library for real-time text completion:
The go-anthropic library supports streaming completions, which allows you to get real-time responses from the Anthropic API. This is done through the `CreateMessagesStream` method, which streams the completion response back to your application as it is generated, rather than waiting for the full response.
To use streaming completions, you can create a `MessagesRequest` and set the `Streaming` field to `true`:
go
client := anthropic.NewClient("your anthropic apikey")
resp, err := client.CreateMessagesStream(context.Background(), anthropic.MessagesRequest{
Model: anthropic.ModelClaude3Opus20240229,
Streaming: true,
Messages: []anthropic.Message{
{
Role: anthropic.RoleUser,
Content: []anthropic.MessageContent{
anthropic.NewTextMessageContent("What is the weather like today?"),
},
},
},
MaxTokens: 1000,
})
if err != nil {
// handle error
}
for msg := range resp.Messages {
fmt.Println(msg.Content.Text)
}
This will stream the completion response back to your application, allowing you to display the text as it is generated, rather than waiting for the full response.
The go-anthropic library also supports the use of "tools", which allow the AI to perform external actions and return the results back to the application. This can enable real-time interactions where the AI can look up information, perform calculations, or take other actions on behalf of the user.
Overall, the streaming and tool features in the go-anthropic library make it well-suited for building real-time applications that leverage the capabilities of the Anthropic Claude API.
Citations:[1] https://github.com/liushuangls/go-anthropic
[2] https://pkg.go.dev/github.com/liushuangls/go-anthropic
[3] https://github.com/dleviminzi/anthrogo
[4] https://pkg.go.dev/github.com/staropshq/go-anthropic
[5] https://docs.anthropic.com/en/api/complete