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https://git.femboyfinancial.jp/james/FemScoreboard.git
synced 2024-11-21 08:31:39 -08:00
Include message reply context in prompt
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parent
c0d48a92dc
commit
4b6f9fc468
@ -214,23 +214,45 @@ async function requestLLMResponse(messages)
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queryParams.append(field, config["llmconf"].llmSettings[field]);
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queryParams.append(field, config["llmconf"].llmSettings[field]);
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}
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}
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const llmEndpoint = `${process.env.LLM_HOST}/?${queryParams.toString()}`;
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const llmEndpoint = `${process.env.LLM_HOST}/?${queryParams.toString()}`;
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const messageList = messages.map((m: Message) => {
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let messageList = await Promise.all(
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messages.map(async (m: Message) => {
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let role = 'user';
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let role = 'user';
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if (m.author.id === process.env.CLIENT) {
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if (m.author.id === process.env.CLIENT) {
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role = 'assistant';
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role = 'assistant';
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} else if (m.author.bot) {
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} else if (m.author.bot) {
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return null;
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return null;
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} else if (KNOWN_USERNAMES.includes(m.author.username)) {
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/* } else if (KNOWN_USERNAMES.includes(m.author.username)) {
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role = m.author.username;
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role = m.author.username; */
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}
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}
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return { role, content: m.cleanContent };
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// fetch replied-to message, if there is one, and prompt it as such
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});
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let cleanContent = m.cleanContent;
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if (m.type == MessageType.Reply && m.reference) {
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// what about deeply nested replies? could possibly be recursive?
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const repliedToMsg = await m.fetchReference();
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if (repliedToMsg) {
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const repliedToMsgLines = repliedToMsg.cleanContent.split('\n');
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cleanContent = `> ${repliedToMsgLines.join('\n> ')}\n${cleanContent}`;
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}
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}
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return { role, content: cleanContent };
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})
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);
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messageList = messageList.filter(x => !!x);
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// at the beginning, inject the system prompt
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// at the end, start our text generation as a reply to the most recent msg from history
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const replyContext = `> ${messageList[messageList.length - 1].content.split('\n').join('\n> ')}\n`;
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const reqBody = [
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const reqBody = [
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{
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{
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"role": "system",
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"role": "system",
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"content": config["llmconf"].sys_prompt
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"content": config["llmconf"].sys_prompt
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},
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},
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...messageList.filter(x => x)
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...messageList,
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{
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"role": "assistant",
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"content": replyContext
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}
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];
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];
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logInfo("[bot] Requesting LLM response with message list: " + reqBody.map(m => m.content));
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logInfo("[bot] Requesting LLM response with message list: " + reqBody.map(m => m.content));
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const res = await fetch(llmEndpoint, {
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const res = await fetch(llmEndpoint, {
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