anything-llm/server/utils/chats/index.js
Timothy Carambat 5a7d8add6f
[Fork] Additions on franzbischoff resolution on #122 (#152)
* Related to Issue #122, Implemented custom prompt in workspace settings.

* run linter

* Remove code duplication for chat prompt injection

---------

Co-authored-by: Francisco Bischoff <franzbischoff@gmail.com>
2023-07-20 11:14:23 -07:00

164 lines
4.1 KiB
JavaScript

const { v4: uuidv4 } = require("uuid");
const { OpenAi } = require("../openAi");
const { WorkspaceChats } = require("../../models/workspaceChats");
const { resetMemory } = require("./commands/reset");
const moment = require("moment");
const { getVectorDbClass } = require("../helpers");
function convertToChatHistory(history = []) {
const formattedHistory = [];
history.forEach((history) => {
const { prompt, response, createdAt } = history;
const data = JSON.parse(response);
formattedHistory.push([
{
role: "user",
content: prompt,
sentAt: moment(createdAt).unix(),
},
{
role: "assistant",
content: data.text,
sources: data.sources || [],
sentAt: moment(createdAt).unix(),
},
]);
});
return formattedHistory.flat();
}
function convertToPromptHistory(history = []) {
const formattedHistory = [];
history.forEach((history) => {
const { prompt, response } = history;
const data = JSON.parse(response);
formattedHistory.push([
{ role: "user", content: prompt },
{ role: "assistant", content: data.text },
]);
});
return formattedHistory.flat();
}
const VALID_COMMANDS = {
"/reset": resetMemory,
};
function grepCommand(message) {
const availableCommands = Object.keys(VALID_COMMANDS);
for (let i = 0; i < availableCommands.length; i++) {
const cmd = availableCommands[i];
const re = new RegExp(`^(${cmd})`, "i");
if (re.test(message)) {
return cmd;
}
}
return null;
}
async function chatWithWorkspace(workspace, message, chatMode = "chat") {
const uuid = uuidv4();
const openai = new OpenAi();
const VectorDb = getVectorDbClass();
const command = grepCommand(message);
if (!!command && Object.keys(VALID_COMMANDS).includes(command)) {
return await VALID_COMMANDS[command](workspace, message, uuid);
}
const { safe, reasons = [] } = await openai.isSafe(message);
if (!safe) {
return {
id: uuid,
type: "abort",
textResponse: null,
sources: [],
close: true,
error: `This message was moderated and will not be allowed. Violations for ${reasons.join(
", "
)} found.`,
};
}
const hasVectorizedSpace = await VectorDb.hasNamespace(workspace.slug);
if (!hasVectorizedSpace) {
const rawHistory = await WorkspaceChats.forWorkspace(workspace.id);
const chatHistory = convertToPromptHistory(rawHistory);
const response = await openai.sendChat(chatHistory, message, workspace);
const data = { text: response, sources: [], type: "chat" };
await WorkspaceChats.new({
workspaceId: workspace.id,
prompt: message,
response: data,
});
return {
id: uuid,
type: "textResponse",
textResponse: response,
sources: [],
close: true,
error: null,
};
} else {
var messageLimit = workspace?.openAiHistory;
const rawHistory = await WorkspaceChats.forWorkspace(
workspace.id,
messageLimit
);
const chatHistory = convertToPromptHistory(rawHistory);
const {
response,
sources,
message: error,
} = await VectorDb[chatMode]({
namespace: workspace.slug,
input: message,
workspace,
chatHistory,
});
if (!response) {
return {
id: uuid,
type: "abort",
textResponse: null,
sources: [],
close: true,
error,
};
}
const data = { text: response, sources, type: chatMode };
await WorkspaceChats.new({
workspaceId: workspace.id,
prompt: message,
response: data,
});
return {
id: uuid,
type: "textResponse",
textResponse: response,
sources,
close: true,
error,
};
}
}
function chatPrompt(workspace) {
return (
workspace?.openAiPrompt ??
"Given the following conversation, relevant context, and a follow up question, reply with an answer to the current question the user is asking. Return only your response to the question given the above information following the users instructions as needed."
);
}
module.exports = {
convertToChatHistory,
chatWithWorkspace,
chatPrompt,
};