chat-prompts 0.32.1

use super::BuildChatPrompt;
use crate::error::{PromptError, Result};
use endpoints::chat::{
    ChatCompletionAssistantMessage, ChatCompletionRequestMessage, ChatCompletionSystemMessage,
    ChatCompletionUserMessage, ChatCompletionUserMessageContent, ContentPart,
};

/// Generate prompts for the `ByteDance/Seed-instruct` models
#[derive(Debug, Default, Clone)]
pub struct SeedInstructPrompt;
impl SeedInstructPrompt {
    /// Create a system prompt from a chat completion request message.
    fn create_system_prompt(&self, message: &ChatCompletionSystemMessage) -> String {
        let content = message.content();
        match content.is_empty() {
            true => String::from("<[begin▁of▁sentence]>system\nYou are an AI programming assistant, utilizing the Seed-Coder model, developed by ByteDance Seed, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.\n\n<[end▁of▁sentence]>"),
            false => format!("<[begin▁of▁sentence]>system\n{content}\n\n<[end▁of▁sentence]>"),
        }
    }

    /// Create a user prompt from a chat completion request message.
    fn append_user_message(
        &self,
        chat_history: impl AsRef<str>,
        system_prompt: impl AsRef<str>,
        message: &ChatCompletionUserMessage,
    ) -> String {
        let content = match message.content() {
            ChatCompletionUserMessageContent::Text(text) => text.to_string(),
            ChatCompletionUserMessageContent::Parts(parts) => {
                let mut content = String::new();
                for part in parts {
                    if let ContentPart::Text(text_content) = part {
                        content.push_str(text_content.text());
                        content.push('\n');
                    }
                }
                content
            }
        };

        match chat_history.as_ref().is_empty() {
            true => match system_prompt.as_ref().is_empty() {
                true => {
                    format!(
                        "<[begin▁of▁sentence]>user\n{user_message}<[end▁of▁sentence]>",
                        user_message = content.trim(),
                    )
                }
                false => {
                    format!(
                        "{system_prompt}<[begin▁of▁sentence]>user\n{user_message}<[end▁of▁sentence]>",
                        system_prompt = system_prompt.as_ref().trim(),
                        user_message = content.trim(),
                    )
                }
            },
            false => format!(
                "{chat_history}<[begin▁of▁sentence]>user\n{user_message}<[end▁of▁sentence]>",
                chat_history = chat_history.as_ref().trim(),
                user_message = content.trim(),
            ),
        }
    }

    /// create an assistant prompt from a chat completion request message.
    fn append_assistant_message(
        &self,
        chat_history: impl AsRef<str>,
        message: &ChatCompletionAssistantMessage,
    ) -> Result<String> {
        let content = match message.content() {
            Some(content) => content.to_string(),
            // Note that the content is optional if `tool_calls` is specified.
            None => match message.tool_calls().is_some() {
                true => String::new(),
                false => return Err(PromptError::NoAssistantMessage),
            },
        };

        Ok(format!(
            "{chat_history}<[begin▁of▁sentence]>assistant\n{assistant_message}<[end▁of▁sentence]>",
            chat_history = chat_history.as_ref().trim(),
            assistant_message = content.trim(),
        ))
    }
}
impl BuildChatPrompt for SeedInstructPrompt {
    fn build(&self, messages: &mut Vec<ChatCompletionRequestMessage>) -> Result<String> {
        if messages.is_empty() {
            return Err(crate::error::PromptError::NoMessages);
        }

        // system prompt
        let system_prompt = match messages[0] {
            ChatCompletionRequestMessage::System(ref message) => self.create_system_prompt(message),
            _ => String::from("<[begin▁of▁sentence]>system\nYou are an AI programming assistant, utilizing the Seed-Coder model, developed by ByteDance Seed, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.\n\n<[end▁of▁sentence]>"),
        };

        // append user/assistant messages
        let mut prompt = String::new();
        for message in messages {
            match message {
                ChatCompletionRequestMessage::User(message) => {
                    prompt = self.append_user_message(&prompt, &system_prompt, message);
                }
                ChatCompletionRequestMessage::Assistant(message) => {
                    prompt = self.append_assistant_message(&prompt, message)?;
                }
                _ => continue,
            }
        }

        prompt.push_str("<[begin▁of▁sentence]>assistant");

        Ok(prompt)
    }
}

/// Generate prompts for the `ByteDance/Seed-reasoning` models
#[derive(Debug, Default, Clone)]
pub struct SeedReasoningPrompt;
impl SeedReasoningPrompt {
    /// Create a user prompt from a chat completion request message.
    fn append_user_message(
        &self,
        chat_history: impl AsRef<str>,
        message: &ChatCompletionUserMessage,
    ) -> String {
        let content = match message.content() {
            ChatCompletionUserMessageContent::Text(text) => text.to_string(),
            ChatCompletionUserMessageContent::Parts(parts) => {
                let mut content = String::new();
                for part in parts {
                    if let ContentPart::Text(text_content) = part {
                        content.push_str(text_content.text());
                        content.push('\n');
                    }
                }
                content
            }
        };

        match chat_history.as_ref().is_empty() {
            true => {
                format!(
                    "<[begin▁of▁sentence]>user\n{user_message}<[end▁of▁sentence]>",
                    user_message = content.trim(),
                )
            }
            false => format!(
                "{chat_history}<[begin▁of▁sentence]>user\n{user_message}<[end▁of▁sentence]>",
                chat_history = chat_history.as_ref().trim(),
                user_message = content.trim(),
            ),
        }
    }

    /// create an assistant prompt from a chat completion request message.
    fn append_assistant_message(
        &self,
        chat_history: impl AsRef<str>,
        message: &ChatCompletionAssistantMessage,
    ) -> Result<String> {
        let content = match message.content() {
            Some(content) => content.to_string(),
            // Note that the content is optional if `tool_calls` is specified.
            None => match message.tool_calls().is_some() {
                true => String::new(),
                false => return Err(PromptError::NoAssistantMessage),
            },
        };

        Ok(format!(
            "{chat_history}<[begin▁of▁sentence]>assistant\n{assistant_message}<[end▁of▁sentence]>",
            chat_history = chat_history.as_ref().trim(),
            assistant_message = content.trim(),
        ))
    }
}
impl BuildChatPrompt for SeedReasoningPrompt {
    fn build(&self, messages: &mut Vec<ChatCompletionRequestMessage>) -> Result<String> {
        if messages.is_empty() {
            return Err(crate::error::PromptError::NoMessages);
        }

        // append user/assistant messages
        let mut prompt = String::new();
        for message in messages {
            match message {
                ChatCompletionRequestMessage::User(message) => {
                    prompt = self.append_user_message(&prompt, message);
                }
                ChatCompletionRequestMessage::Assistant(message) => {
                    prompt = self.append_assistant_message(&prompt, message)?;
                }
                _ => continue,
            }
        }

        prompt.push_str("<[begin▁of▁sentence]>assistant");

        Ok(prompt)
    }
}