To stream messages in real-time using the go-anthropic library, you can use the `CreateMessagesStream` method. Here's an example:
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)
}
The key points are:
- Set the `Streaming` field to `true` in the `MessagesRequest`
- Use the `CreateMessagesStream` method instead of `CreateMessages`
- Iterate over the `resp.Messages` channel to get the streamed messages
This will stream the message response back to your application, allowing you to display the text as it is generated, rather than waiting for the full response[1][2].
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 in real-time[3][4].
Overall, the streaming and tool features in the go-anthropic library make it well-suited for building real-time messaging applications that leverage the capabilities of the Anthropic Claude API.
Citations:[1] https://github.com/liushuangls/go-anthropic/blob/main/message_stream.go
[2] https://github.com/liushuangls/go-anthropic
[3] https://docs.anthropic.com/en/api/messages-streaming
[4] https://arunprakash.ai/posts/anthropic-claude3-messages-api-streaming-python/messages_api_streaming.html
[5] https://pkg.go.dev/github.com/liushuangls/go-anthropic