Yes, you can customize the response format when streaming messages in real-time using the go-anthropic library. Here are a few ways to do this:
1. Use the `CreateMessagesStream` method and iterate over the `resp.Messages` channel to get the streamed messages. You can then format the response as desired before printing or sending it back to the client[1][2].
2. Implement custom handlers for the different message events, such as `message_start`, `content_block_delta`, `message_delta`, and `message_stop`. This allows you to process the message data as it comes in and format the response accordingly[3].
3. Define a custom `MessageHandler` interface that your application can implement to handle the streamed messages. This gives you full control over how the messages are processed and formatted[1].
4. Use the `resp.Content` field to access the message content as it is streamed. You can then format this content as needed, such as by extracting specific parts of the response or combining it with other data[1][2].
5. Leverage the `anthropic.MessageContentType` constants to identify different types of message content (e.g. text, image, tool use) and format the response based on the content type[1].
By taking advantage of these features in the go-anthropic library, you can customize the response format to suit the specific needs of your real-time messaging application. This allows you to present the streamed messages in a user-friendly and structured way.
Citations:[1] https://github.com/liushuangls/go-anthropic
[2] https://github.com/liushuangls/go-anthropic/blob/main/message_stream.go
[3] https://pkg.go.dev/github.com/liushuangls/go-anthropic
[4] https://dev.to/aws/use-anthropic-claude-3-models-to-build-generative-ai-applications-with-go-11dd
[5] https://arunprakash.ai/posts/anthropic-claude3-messages-api-streaming-python/messages_api_streaming.html