+
+
+ );
+}
+
function WorkspaceChatSuggestions({ suggestions = [], sendSuggestion }) {
if (suggestions.length === 0) return null;
return (
diff --git a/frontend/src/components/WorkspaceChat/ChatContainer/PromptInput/AgentMenu/index.jsx b/frontend/src/components/WorkspaceChat/ChatContainer/PromptInput/AgentMenu/index.jsx
new file mode 100644
index 000000000..8407c68db
--- /dev/null
+++ b/frontend/src/components/WorkspaceChat/ChatContainer/PromptInput/AgentMenu/index.jsx
@@ -0,0 +1,189 @@
+import { useEffect, useRef, useState } from "react";
+import { Tooltip } from "react-tooltip";
+import { At, Flask, X } from "@phosphor-icons/react";
+import ModalWrapper from "@/components/ModalWrapper";
+import { useModal } from "@/hooks/useModal";
+import { useIsAgentSessionActive } from "@/utils/chat/agent";
+
+export default function AvailableAgentsButton({ showing, setShowAgents }) {
+ const agentSessionActive = useIsAgentSessionActive();
+ if (agentSessionActive) return null;
+ return (
+
+
+ {props.content}
+
+
+ setShowAgents(!showing)}
+ className={`flex justify-center items-center opacity-60 hover:opacity-100 cursor-pointer ${
+ showing ? "!opacity-100" : ""
+ }`}
+ >
+
+ );
+}
+
+function AbilityTag({ text }) {
+ return (
+
+
+ );
+}
+
+export function AvailableAgents({
+ showing,
+ setShowing,
+ sendCommand,
+ promptRef,
+}) {
+ const formRef = useRef(null);
+ const agentSessionActive = useIsAgentSessionActive();
+ useEffect(() => {
+ function listenForOutsideClick() {
+ if (!showing || !formRef.current) return false;
+ document.addEventListener("click", closeIfOutside);
+ }
+ listenForOutsideClick();
+ }, [showing, formRef.current]);
+
+ const closeIfOutside = ({ target }) => {
+ if (target.id === "agent-list-btn") return;
+ const isOutside = !formRef?.current?.contains(target);
+ if (!isOutside) return;
+ setShowing(false);
+ };
+
+ if (agentSessionActive) return null;
+ return (
+ <>
+ {text}
+
+
+ {showing &&
+
+
+
+
+
+
+
+
+
+
+
+ + You just discovered Agents! +
+ +
+
+
+
+
+ Agents are your LLM, but with special abilities that{" "}
+ do something beyond chatting with your documents.
+
+
+ Now you can use agents for real-time web search and scraping,
+ saving documents to your browser, summarizing documents, and
+ more.
+
+
+ Currently, agents only work with OpenAI as your agent LLM. All
+ LLM providers will be supported in the future.
+
+ This feature is currently early access and fully custom agents + with custom integrations & code execution will be in a future + update. +
+
+
+
+
+
-
diff --git a/frontend/src/components/WorkspaceChat/ChatContainer/index.jsx b/frontend/src/components/WorkspaceChat/ChatContainer/index.jsx
index f215d18b9..7d2850bdc 100644
--- a/frontend/src/components/WorkspaceChat/ChatContainer/index.jsx
+++ b/frontend/src/components/WorkspaceChat/ChatContainer/index.jsx
@@ -2,16 +2,24 @@ import { useState, useEffect } from "react";
import ChatHistory from "./ChatHistory";
import PromptInput from "./PromptInput";
import Workspace from "@/models/workspace";
-import handleChat from "@/utils/chat";
+import handleChat, { ABORT_STREAM_EVENT } from "@/utils/chat";
import { isMobile } from "react-device-detect";
import { SidebarMobileHeader } from "../../Sidebar";
import { useParams } from "react-router-dom";
+import { v4 } from "uuid";
+import handleSocketResponse, {
+ websocketURI,
+ AGENT_SESSION_END,
+ AGENT_SESSION_START,
+} from "@/utils/chat/agent";
export default function ChatContainer({ workspace, knownHistory = [] }) {
const { threadSlug = null } = useParams();
const [message, setMessage] = useState("");
const [loadingResponse, setLoadingResponse] = useState(false);
const [chatHistory, setChatHistory] = useState(knownHistory);
+ const [socketId, setSocketId] = useState(null);
+ const [websocket, setWebsocket] = useState(null);
const handleMessageChange = (event) => {
setMessage(event.target.value);
};
@@ -68,6 +76,19 @@ export default function ChatContainer({ workspace, knownHistory = [] }) {
const remHistory = chatHistory.length > 0 ? chatHistory.slice(0, -1) : [];
var _chatHistory = [...remHistory];
+ // Override hook for new messages to now go to agents until the connection closes
+ if (!!websocket) {
+ if (!promptMessage || !promptMessage?.userMessage) return false;
+ websocket.send(
+ JSON.stringify({
+ type: "awaitingFeedback",
+ feedback: promptMessage?.userMessage,
+ })
+ );
+ return;
+ }
+
+ // TODO: Simplify this
if (!promptMessage || !promptMessage?.userMessage) return false;
if (!!threadSlug) {
await Workspace.threads.streamChat(
@@ -79,7 +100,8 @@ export default function ChatContainer({ workspace, knownHistory = [] }) {
setLoadingResponse,
setChatHistory,
remHistory,
- _chatHistory
+ _chatHistory,
+ setSocketId
)
);
} else {
@@ -92,7 +114,8 @@ export default function ChatContainer({ workspace, knownHistory = [] }) {
setLoadingResponse,
setChatHistory,
remHistory,
- _chatHistory
+ _chatHistory,
+ setSocketId
)
);
}
@@ -101,6 +124,77 @@ export default function ChatContainer({ workspace, knownHistory = [] }) {
loadingResponse === true && fetchReply();
}, [loadingResponse, chatHistory, workspace]);
+ // TODO: Simplify this WSS stuff
+ useEffect(() => {
+ function handleWSS() {
+ try {
+ if (!socketId || !!websocket) return;
+ const socket = new WebSocket(
+ `${websocketURI()}/api/agent-invocation/${socketId}`
+ );
+
+ window.addEventListener(ABORT_STREAM_EVENT, () => {
+ window.dispatchEvent(new CustomEvent(AGENT_SESSION_END));
+ websocket.close();
+ });
+
+ socket.addEventListener("message", (event) => {
+ setLoadingResponse(true);
+ try {
+ handleSocketResponse(event, setChatHistory);
+ } catch (e) {
+ console.error("Failed to parse data");
+ window.dispatchEvent(new CustomEvent(AGENT_SESSION_END));
+ socket.close();
+ }
+ setLoadingResponse(false);
+ });
+
+ socket.addEventListener("close", (_event) => {
+ window.dispatchEvent(new CustomEvent(AGENT_SESSION_END));
+ setChatHistory((prev) => [
+ ...prev.filter((msg) => !!msg.content),
+ {
+ uuid: v4(),
+ type: "statusResponse",
+ content: "Agent session complete.",
+ role: "assistant",
+ sources: [],
+ closed: true,
+ error: null,
+ animate: false,
+ pending: false,
+ },
+ ]);
+ setLoadingResponse(false);
+ setWebsocket(null);
+ setSocketId(null);
+ });
+ setWebsocket(socket);
+ window.dispatchEvent(new CustomEvent(AGENT_SESSION_START));
+ } catch (e) {
+ setChatHistory((prev) => [
+ ...prev.filter((msg) => !!msg.content),
+ {
+ uuid: v4(),
+ type: "abort",
+ content: e.message,
+ role: "assistant",
+ sources: [],
+ closed: true,
+ error: e.message,
+ animate: false,
+ pending: false,
+ },
+ ]);
+ setLoadingResponse(false);
+ setWebsocket(null);
+ setSocketId(null);
+ }
+ }
+ handleWSS();
+ }, [socketId]);
+
return (
-
model selection
export const DISABLED_PROVIDERS = ["azure", "lmstudio", "native"];
const PROVIDER_DEFAULT_MODELS = {
- openai: [
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-1106",
- "gpt-4",
- "gpt-4-turbo-preview",
- "gpt-4-1106-preview",
- "gpt-4-32k",
- ],
+ openai: [],
gemini: ["gemini-pro"],
anthropic: [
"claude-instant-1.2",
@@ -41,6 +34,7 @@ function groupModels(models) {
}, {});
}
+const groupedProviders = ["togetherai", "openai"];
export default function useGetProviderModels(provider = null) {
const [defaultModels, setDefaultModels] = useState([]);
const [customModels, setCustomModels] = useState([]);
@@ -50,9 +44,16 @@ export default function useGetProviderModels(provider = null) {
async function fetchProviderModels() {
if (!provider) return;
const { models = [] } = await System.customModels(provider);
- if (PROVIDER_DEFAULT_MODELS.hasOwnProperty(provider))
+ if (
+ PROVIDER_DEFAULT_MODELS.hasOwnProperty(provider) &&
+ !groupedProviders.includes(provider)
+ ) {
setDefaultModels(PROVIDER_DEFAULT_MODELS[provider]);
- provider === "togetherai"
+ } else {
+ setDefaultModels([]);
+ }
+
+ groupedProviders.includes(provider)
? setCustomModels(groupModels(models))
: setCustomModels(models);
setLoading(false);
diff --git a/frontend/src/index.css b/frontend/src/index.css
index 9b69ac9cf..9241d6184 100644
--- a/frontend/src/index.css
+++ b/frontend/src/index.css
@@ -553,6 +553,14 @@ dialog::backdrop {
padding-top: 10px;
}
+.markdown ol li a {
+ text-decoration: underline;
+}
+
+.markdown ol li p a {
+ text-decoration: underline;
+}
+
.markdown ul {
list-style: revert-layer;
/* color: #cfcfcfcf; */
@@ -575,6 +583,10 @@ dialog::backdrop {
line-height: 1.4rem;
}
+.markdownul li a {
+ text-decoration: underline;
+}
+
.markdown ul li > ul {
padding-left: 20px;
margin: 0px;
@@ -585,6 +597,11 @@ dialog::backdrop {
margin: 0.35rem;
}
+.markdown > p > a,
+.markdown p a {
+ text-decoration: underline;
+}
+
.markdown {
text-wrap: wrap;
}
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/AgentLLMSelection/AgentLLMItem/index.jsx b/frontend/src/pages/WorkspaceSettings/AgentConfig/AgentLLMSelection/AgentLLMItem/index.jsx
new file mode 100644
index 000000000..804fe8aef
--- /dev/null
+++ b/frontend/src/pages/WorkspaceSettings/AgentConfig/AgentLLMSelection/AgentLLMItem/index.jsx
@@ -0,0 +1,151 @@
+// This component differs from the main LLMItem in that it shows if a provider is
+// "ready for use" and if not - will then highjack the click handler to show a modal
+// of the provider options that must be saved to continue.
+import { createPortal } from "react-dom";
+import ModalWrapper from "@/components/ModalWrapper";
+import { useModal } from "@/hooks/useModal";
+import { X } from "@phosphor-icons/react";
+import System from "@/models/system";
+import showToast from "@/utils/toast";
+
+export default function WorkspaceLLM({
+ llm,
+ availableLLMs,
+ settings,
+ checked,
+ onClick,
+}) {
+ const { isOpen, openModal, closeModal } = useModal();
+ const { name, value, logo, description } = llm;
+
+ function handleProviderSelection() {
+ // Determine if provider needs additional setup because its minimum required keys are
+ // not yet set in settings.
+ const requiresAdditionalSetup = (llm.requiredConfig || []).some(
+ (key) => !settings[key]
+ );
+ if (requiresAdditionalSetup) {
+ openModal();
+ return;
+ }
+ onClick(value);
+ }
+
+ return (
+ <>
+
+ ,
+ document.getElementById("workspace-agent-settings-container")
+ );
+}
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/AgentLLMSelection/index.jsx b/frontend/src/pages/WorkspaceSettings/AgentConfig/AgentLLMSelection/index.jsx
new file mode 100644
index 000000000..f1b997470
--- /dev/null
+++ b/frontend/src/pages/WorkspaceSettings/AgentConfig/AgentLLMSelection/index.jsx
@@ -0,0 +1,163 @@
+import React, { useEffect, useRef, useState } from "react";
+import AnythingLLMIcon from "@/media/logo/anything-llm-icon.png";
+import AgentLLMItem from "./AgentLLMItem";
+import { AVAILABLE_LLM_PROVIDERS } from "@/pages/GeneralSettings/LLMPreference";
+import { CaretUpDown, MagnifyingGlass, X } from "@phosphor-icons/react";
+import AgentModelSelection from "../AgentModelSelection";
+
+const ENABLED_PROVIDERS = ["openai", "anthropic"];
+
+const LLM_DEFAULT = {
+ name: "Please make a selection",
+ value: "none",
+ logo: AnythingLLMIcon,
+ options: () =>
+
+
+
+ 
+
+
+
+ {name}
+ {description}
+
+
+
+
+
+
+
+
+ + Setup {LLMOption.name} +
+ +
+ inside the code block as the first line. Don't include multiple code blocks in one response. Do not ask users to copy and paste the result. Instead, use 'print' function for the output when relevant. Check the execution result returned by the user.
+ // If the result indicates there is an error, fix the error and output the code again. Suggest the full code instead of partial code or code changes. If the error can't be fixed or if the task is not solved even after the code is executed successfully, analyze the problem, revisit your assumption, collect additional info you need, and think of a different approach to try.
+ // When you find an answer, verify the answer carefully. Include verifiable evidence in your response if possible.
+ // Reply "TERMINATE" when everything is done.`,
+ ...config,
+ };
+ }
+
+ /**
+ * Get the specific channel configuration.
+ *
+ * @param channel The name of the channel.
+ * @throws When the channel configuration is not found.
+ * @returns The channel configuration.
+ */
+ getChannelConfig(channel = "") {
+ const config = this.channels.get(channel);
+ if (!config) {
+ throw new Error(`Channel configuration "${channel}" not found`);
+ }
+ return {
+ maxRounds: 10,
+ role: "",
+ ...config,
+ };
+ }
+
+ /**
+ * Get the members of a group.
+ * @throws When the group is not defined as an array in the connections.
+ * @param node The name of the group.
+ * @returns The members of the group.
+ */
+ getGroupMembers(node = "") {
+ const group = this.getChannelConfig(node);
+ return group.members;
+ }
+
+ /**
+ * Triggered when a plugin, socket, or command is aborted.
+ *
+ * @param listener
+ * @returns
+ */
+ onAbort(listener = () => null) {
+ this.emitter.on("abort", listener);
+ return this;
+ }
+
+ /**
+ * Abort the running of any plugins that may still be pending (Langchain summarize)
+ */
+ abort() {
+ this.emitter.emit("abort", null, this);
+ }
+
+ /**
+ * Triggered when a chat is terminated. After this, the chat can't be continued.
+ *
+ * @param listener
+ * @returns
+ */
+ onTerminate(listener = () => null) {
+ this.emitter.on("terminate", listener);
+ return this;
+ }
+
+ /**
+ * Terminate the chat. After this, the chat can't be continued.
+ *
+ * @param node Last node to chat with
+ */
+ terminate(node = "") {
+ this.emitter.emit("terminate", node, this);
+ }
+
+ /**
+ * Triggered when a chat is interrupted by a node.
+ *
+ * @param listener
+ * @returns
+ */
+ onInterrupt(listener = () => null) {
+ this.emitter.on("interrupt", listener);
+ return this;
+ }
+
+ /**
+ * Interruption the chat.
+ *
+ * @param route The nodes that participated in the interruption.
+ * @returns
+ */
+ interrupt(route) {
+ this._chats.push({
+ ...route,
+ state: "interrupt",
+ });
+ this.emitter.emit("interrupt", route, this);
+ }
+
+ /**
+ * Triggered when a message is added to the chat history.
+ * This can either be the first message or a reply to a message.
+ *
+ * @param listener
+ * @returns
+ */
+ onMessage(listener = (chat) => null) {
+ this.emitter.on("message", listener);
+ return this;
+ }
+
+ /**
+ * Register a new successful message in the chat history.
+ * This will trigger the `onMessage` event.
+ *
+ * @param message
+ */
+ newMessage(message) {
+ const chat = {
+ ...message,
+ state: "success",
+ };
+
+ this._chats.push(chat);
+ this.emitter.emit("message", chat, this);
+ }
+
+ /**
+ * Triggered when an error occurs during the chat.
+ *
+ * @param listener
+ * @returns
+ */
+ onError(
+ listener = (
+ /**
+ * The error that occurred.
+ *
+ * Native errors are:
+ * - `APIError`
+ * - `AuthorizationError`
+ * - `UnknownError`
+ * - `RateLimitError`
+ * - `ServerError`
+ */
+ error = null,
+ /**
+ * The message when the error occurred.
+ */
+ {}
+ ) => null
+ ) {
+ this.emitter.on("replyError", listener);
+ return this;
+ }
+
+ /**
+ * Register an error in the chat history.
+ * This will trigger the `onError` event.
+ *
+ * @param route
+ * @param error
+ */
+ newError(route, error) {
+ const chat = {
+ ...route,
+ content: error instanceof Error ? error.message : String(error),
+ state: "error",
+ };
+ this._chats.push(chat);
+ this.emitter.emit("replyError", error, chat);
+ }
+
+ /**
+ * Triggered when a chat is interrupted by a node.
+ *
+ * @param listener
+ * @returns
+ */
+ onStart(listener = (chat, aibitat) => null) {
+ this.emitter.on("start", listener);
+ return this;
+ }
+
+ /**
+ * Start a new chat.
+ *
+ * @param message The message to start the chat.
+ */
+ async start(message) {
+ // register the message in the chat history
+ this.newMessage(message);
+ this.emitter.emit("start", message, this);
+
+ // ask the node to reply
+ await this.chat({
+ to: message.from,
+ from: message.to,
+ });
+
+ return this;
+ }
+
+ /**
+ * Recursively chat between two nodes.
+ *
+ * @param route
+ * @param keepAlive Whether to keep the chat alive.
+ */
+ async chat(route, keepAlive = true) {
+ // check if the message is for a group
+ // if it is, select the next node to chat with from the group
+ // and then ask them to reply.
+ if (this.channels.get(route.from)) {
+ // select a node from the group
+ let nextNode;
+ try {
+ nextNode = await this.selectNext(route.from);
+ } catch (error) {
+ if (error instanceof APIError) {
+ return this.newError({ from: route.from, to: route.to }, error);
+ }
+ throw error;
+ }
+
+ if (!nextNode) {
+ // TODO: should it throw an error or keep the chat alive when there is no node to chat with in the group?
+ // maybe it should wrap up the chat and reply to the original node
+ // For now, it will terminate the chat
+ this.terminate(route.from);
+ return;
+ }
+
+ const nextChat = {
+ from: nextNode,
+ to: route.from,
+ };
+
+ if (this.shouldAgentInterrupt(nextNode)) {
+ this.interrupt(nextChat);
+ return;
+ }
+
+ // get chats only from the group's nodes
+ const history = this.getHistory({ to: route.from });
+ const group = this.getGroupMembers(route.from);
+ const rounds = history.filter((chat) => group.includes(chat.from)).length;
+
+ const { maxRounds } = this.getChannelConfig(route.from);
+ if (rounds >= maxRounds) {
+ this.terminate(route.to);
+ return;
+ }
+
+ await this.chat(nextChat);
+ return;
+ }
+
+ // If it's a direct message, reply to the message
+ let reply = "";
+ try {
+ reply = await this.reply(route);
+ } catch (error) {
+ if (error instanceof APIError) {
+ return this.newError({ from: route.from, to: route.to }, error);
+ }
+ throw error;
+ }
+
+ if (
+ reply === "TERMINATE" ||
+ this.hasReachedMaximumRounds(route.from, route.to)
+ ) {
+ this.terminate(route.to);
+ return;
+ }
+
+ const newChat = { to: route.from, from: route.to };
+
+ if (
+ reply === "INTERRUPT" ||
+ (this.agents.get(route.to) && this.shouldAgentInterrupt(route.to))
+ ) {
+ this.interrupt(newChat);
+ return;
+ }
+
+ if (keepAlive) {
+ // keep the chat alive by replying to the other node
+ await this.chat(newChat, true);
+ }
+ }
+
+ /**
+ * Check if the agent should interrupt the chat based on its configuration.
+ *
+ * @param agent
+ * @returns {boolean} Whether the agent should interrupt the chat.
+ */
+ shouldAgentInterrupt(agent = "") {
+ const config = this.getAgentConfig(agent);
+ return this.defaultInterrupt === "ALWAYS" || config.interrupt === "ALWAYS";
+ }
+
+ /**
+ * Select the next node to chat with from a group. The node will be selected based on the history of chats.
+ * It will select the node that has not reached the maximum number of rounds yet and has not chatted with the channel in the last round.
+ * If it could not determine the next node, it will return a random node.
+ *
+ * @param channel The name of the group.
+ * @returns The name of the node to chat with.
+ */
+ async selectNext(channel = "") {
+ // get all members of the group
+ const nodes = this.getGroupMembers(channel);
+ const channelConfig = this.getChannelConfig(channel);
+
+ // TODO: move this to when the group is created
+ // warn if the group is underpopulated
+ if (nodes.length < 3) {
+ console.warn(
+ `- Group (${channel}) is underpopulated with ${nodes.length} agents. Direct communication would be more efficient.`
+ );
+ }
+
+ // get the nodes that have not reached the maximum number of rounds
+ const availableNodes = nodes.filter(
+ (node) => !this.hasReachedMaximumRounds(channel, node)
+ );
+
+ // remove the last node that chatted with the channel, so it doesn't chat again
+ const lastChat = this._chats.filter((c) => c.to === channel).at(-1);
+ if (lastChat) {
+ const index = availableNodes.indexOf(lastChat.from);
+ if (index > -1) {
+ availableNodes.splice(index, 1);
+ }
+ }
+
+ // TODO: what should it do when there is no node to chat with?
+ if (!availableNodes.length) return;
+
+ // get the provider that will be used for the channel
+ // if the channel has a provider, use that otherwise
+ // use the GPT-4 because it has a better reasoning
+ const provider = this.getProviderForConfig({
+ // @ts-expect-error
+ model: "gpt-4",
+ ...this.defaultProvider,
+ ...channelConfig,
+ });
+ const history = this.getHistory({ to: channel });
+
+ // build the messages to send to the provider
+ const messages = [
+ {
+ role: "system",
+ content: channelConfig.role,
+ },
+ {
+ role: "user",
+ content: `You are in a role play game. The following roles are available:
+${availableNodes
+ .map((node) => `@${node}: ${this.getAgentConfig(node).role}`)
+ .join("\n")}.
+
+Read the following conversation.
+
+CHAT HISTORY
+${history.map((c) => `@${c.from}: ${c.content}`).join("\n")}
+
+Then select the next role from that is going to speak next.
+Only return the role.
+`,
+ },
+ ];
+
+ // ask the provider to select the next node to chat with
+ // and remove the @ from the response
+ const { result } = await provider.complete(messages);
+ const name = result?.replace(/^@/g, "");
+ if (this.agents.get(name)) {
+ return name;
+ }
+
+ // if the name is not in the nodes, return a random node
+ return availableNodes[Math.floor(Math.random() * availableNodes.length)];
+ }
+
+ /**
+ * Check if the chat has reached the maximum number of rounds.
+ */
+ hasReachedMaximumRounds(from = "", to = "") {
+ return this.getHistory({ from, to }).length >= this.maxRounds;
+ }
+
+ /**
+ * Ask the for the AI provider to generate a reply to the chat.
+ *
+ * @param route.to The node that sent the chat.
+ * @param route.from The node that will reply to the chat.
+ */
+ async reply(route) {
+ // get the provider for the node that will reply
+ const fromConfig = this.getAgentConfig(route.from);
+
+ const chatHistory =
+ // if it is sending message to a group, send the group chat history to the provider
+ // otherwise, send the chat history between the two nodes
+ this.channels.get(route.to)
+ ? [
+ {
+ role: "user",
+ content: `You are in a whatsapp group. Read the following conversation and then reply.
+Do not add introduction or conclusion to your reply because this will be a continuous conversation. Don't introduce yourself.
+
+CHAT HISTORY
+${this.getHistory({ to: route.to })
+ .map((c) => `@${c.from}: ${c.content}`)
+ .join("\n")}
+
+@${route.from}:`,
+ },
+ ]
+ : this.getHistory(route).map((c) => ({
+ content: c.content,
+ role: c.from === route.to ? "user" : "assistant",
+ }));
+
+ // build the messages to send to the provider
+ const messages = [
+ {
+ content: fromConfig.role,
+ role: "system",
+ },
+ // get the history of chats between the two nodes
+ ...chatHistory,
+ ];
+
+ // get the functions that the node can call
+ const functions = fromConfig.functions
+ ?.map((name) => this.functions.get(name))
+ .filter((a) => !!a);
+
+ const provider = this.getProviderForConfig({
+ ...this.defaultProvider,
+ ...fromConfig,
+ });
+
+ // get the chat completion
+ const content = await this.handleExecution(
+ provider,
+ messages,
+ functions,
+ route.from
+ );
+ this.newMessage({ ...route, content });
+
+ return content;
+ }
+
+ async handleExecution(
+ provider,
+ messages = [],
+ functions = [],
+ byAgent = null
+ ) {
+ // get the chat completion
+ const completion = await provider.complete(messages, functions);
+
+ if (completion.functionCall) {
+ const { name, arguments: args } = completion.functionCall;
+ const fn = this.functions.get(name);
+
+ // if provider hallucinated on the function name
+ // ask the provider to complete again
+ if (!fn) {
+ return await this.handleExecution(
+ provider,
+ [
+ ...messages,
+ {
+ name,
+ role: "function",
+ content: `Function "${name}" not found. Try again.`,
+ },
+ ],
+ functions,
+ byAgent
+ );
+ }
+
+ // Execute the function and return the result to the provider
+ fn.caller = byAgent || "agent";
+ const result = await fn.handler(args);
+ Telemetry.sendTelemetry("agent_tool_call", { tool: name }, null, true);
+ return await this.handleExecution(
+ provider,
+ [
+ ...messages,
+ {
+ name,
+ role: "function",
+ content: result,
+ },
+ ],
+ functions,
+ byAgent
+ );
+ }
+
+ return completion?.result;
+ }
+
+ /**
+ * Continue the chat from the last interruption.
+ * If the last chat was not an interruption, it will throw an error.
+ * Provide a feedback where it was interrupted if you want to.
+ *
+ * @param feedback The feedback to the interruption if any.
+ * @returns
+ */
+ async continue(feedback) {
+ const lastChat = this._chats.at(-1);
+ if (!lastChat || lastChat.state !== "interrupt") {
+ throw new Error("No chat to continue");
+ }
+
+ // remove the last chat's that was interrupted
+ this._chats.pop();
+
+ const { from, to } = lastChat;
+
+ if (this.hasReachedMaximumRounds(from, to)) {
+ throw new Error("Maximum rounds reached");
+ }
+
+ if (feedback) {
+ const message = {
+ from,
+ to,
+ content: feedback,
+ };
+
+ // register the message in the chat history
+ this.newMessage(message);
+
+ // ask the node to reply
+ await this.chat({
+ to: message.from,
+ from: message.to,
+ });
+ } else {
+ await this.chat({ from, to });
+ }
+
+ return this;
+ }
+
+ /**
+ * Retry the last chat that threw an error.
+ * If the last chat was not an error, it will throw an error.
+ */
+ async retry() {
+ const lastChat = this._chats.at(-1);
+ if (!lastChat || lastChat.state !== "error") {
+ throw new Error("No chat to retry");
+ }
+
+ // remove the last chat's that threw an error
+ const { from, to } = this?._chats?.pop();
+
+ await this.chat({ from, to });
+ return this;
+ }
+
+ /**
+ * Get the chat history between two nodes or all chats to/from a node.
+ */
+ getHistory({ from, to }) {
+ return this._chats.filter((chat) => {
+ const isSuccess = chat.state === "success";
+
+ // return all chats to the node
+ if (!from) {
+ return isSuccess && chat.to === to;
+ }
+
+ // get all chats from the node
+ if (!to) {
+ return isSuccess && chat.from === from;
+ }
+
+ // check if the chat is between the two nodes
+ const hasSent = chat.from === from && chat.to === to;
+ const hasReceived = chat.from === to && chat.to === from;
+ const mutual = hasSent || hasReceived;
+
+ return isSuccess && mutual;
+ });
+ }
+
+ /**
+ * Get provider based on configurations.
+ * If the provider is a string, it will return the default provider for that string.
+ *
+ * @param config The provider configuration.
+ */
+ getProviderForConfig(config) {
+ if (typeof config.provider === "object") {
+ return config.provider;
+ }
+
+ switch (config.provider) {
+ case "openai":
+ return new Providers.OpenAIProvider({ model: config.model });
+ case "anthropic":
+ return new Providers.AnthropicProvider({ model: config.model });
+
+ default:
+ throw new Error(
+ `Unknown provider: ${config.provider}. Please use "openai"`
+ );
+ }
+ }
+
+ /**
+ * Register a new function to be called by the AIbitat agents.
+ * You are also required to specify the which node can call the function.
+ * @param functionConfig The function configuration.
+ */
+ function(functionConfig) {
+ this.functions.set(functionConfig.name, functionConfig);
+ return this;
+ }
+}
+
+module.exports = AIbitat;
diff --git a/server/utils/agents/aibitat/plugins/chat-history.js b/server/utils/agents/aibitat/plugins/chat-history.js
new file mode 100644
index 000000000..b4b51d0e2
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/chat-history.js
@@ -0,0 +1,49 @@
+const { WorkspaceChats } = require("../../../../models/workspaceChats");
+
+/**
+ * Plugin to save chat history to AnythingLLM DB.
+ */
+const chatHistory = {
+ name: "chat-history",
+ startupConfig: {
+ params: {},
+ },
+ plugin: function () {
+ return {
+ name: this.name,
+ setup: function (aibitat) {
+ aibitat.onMessage(async () => {
+ try {
+ const lastResponses = aibitat.chats.slice(-2);
+ if (lastResponses.length !== 2) return;
+ const [prev, last] = lastResponses;
+
+ // We need a full conversation reply with prev being from
+ // the USER and the last being from anyone other than the user.
+ if (prev.from !== "USER" || last.from === "USER") return;
+ await this._store(aibitat, {
+ prompt: prev.content,
+ response: last.content,
+ });
+ } catch {}
+ });
+ },
+ _store: async function (aibitat, { prompt, response } = {}) {
+ const invocation = aibitat.handlerProps.invocation;
+ await WorkspaceChats.new({
+ workspaceId: Number(invocation.workspace_id),
+ prompt,
+ response: {
+ text: response,
+ sources: [],
+ type: "chat",
+ },
+ user: { id: invocation?.user_id || null },
+ threadId: invocation?.thread_id || null,
+ });
+ },
+ };
+ },
+};
+
+module.exports = { chatHistory };
diff --git a/server/utils/agents/aibitat/plugins/cli.js b/server/utils/agents/aibitat/plugins/cli.js
new file mode 100644
index 000000000..06a60e98e
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/cli.js
@@ -0,0 +1,140 @@
+// Plugin CAN ONLY BE USE IN DEVELOPMENT.
+const { input } = require("@inquirer/prompts");
+const chalk = require("chalk");
+const { RetryError } = require("../error");
+
+/**
+ * Command-line Interface plugin. It prints the messages on the console and asks for feedback
+ * while the conversation is running in the background.
+ */
+const cli = {
+ name: "cli",
+ startupConfig: {
+ params: {},
+ },
+ plugin: function ({ simulateStream = true } = {}) {
+ return {
+ name: this.name,
+ setup(aibitat) {
+ let printing = [];
+
+ aibitat.onError(async (error) => {
+ console.error(chalk.red(` error: ${error?.message}`));
+ if (error instanceof RetryError) {
+ console.error(chalk.red(` retrying in 60 seconds...`));
+ setTimeout(() => {
+ aibitat.retry();
+ }, 60000);
+ return;
+ }
+ });
+
+ aibitat.onStart(() => {
+ console.log();
+ console.log("🚀 starting chat ...\n");
+ printing = [Promise.resolve()];
+ });
+
+ aibitat.onMessage(async (message) => {
+ const next = new Promise(async (resolve) => {
+ await Promise.all(printing);
+ await this.print(message, simulateStream);
+ resolve();
+ });
+ printing.push(next);
+ });
+
+ aibitat.onTerminate(async () => {
+ await Promise.all(printing);
+ console.log("🚀 chat finished");
+ });
+
+ aibitat.onInterrupt(async (node) => {
+ await Promise.all(printing);
+ const feedback = await this.askForFeedback(node);
+ // Add an extra line after the message
+ console.log();
+
+ if (feedback === "exit") {
+ console.log("🚀 chat finished");
+ return process.exit(0);
+ }
+
+ await aibitat.continue(feedback);
+ });
+ },
+
+ /**
+ * Print a message on the terminal
+ *
+ * @param message
+ * // message Type { from: string; to: string; content?: string } & {
+ state: 'loading' | 'error' | 'success' | 'interrupt'
+ }
+ * @param simulateStream
+ */
+ print: async function (message = {}, simulateStream = true) {
+ const replying = chalk.dim(`(to ${message.to})`);
+ const reference = `${chalk.magenta("✎")} ${chalk.bold(
+ message.from
+ )} ${replying}:`;
+
+ if (!simulateStream) {
+ console.log(reference);
+ console.log(message.content);
+ // Add an extra line after the message
+ console.log();
+ return;
+ }
+
+ process.stdout.write(`${reference}\n`);
+
+ // Emulate streaming by breaking the cached response into chunks
+ const chunks = message.content?.split(" ") || [];
+ const stream = new ReadableStream({
+ async start(controller) {
+ for (const chunk of chunks) {
+ const bytes = new TextEncoder().encode(chunk + " ");
+ controller.enqueue(bytes);
+ await new Promise((r) =>
+ setTimeout(
+ r,
+ // get a random number between 10ms and 50ms to simulate a random delay
+ Math.floor(Math.random() * 40) + 10
+ )
+ );
+ }
+ controller.close();
+ },
+ });
+
+ // Stream the response to the chat
+ for await (const chunk of stream) {
+ process.stdout.write(new TextDecoder().decode(chunk));
+ }
+
+ // Add an extra line after the message
+ console.log();
+ console.log();
+ },
+
+ /**
+ * Ask for feedback to the user using the terminal
+ *
+ * @param node //{ from: string; to: string }
+ * @returns
+ */
+ askForFeedback: function (node = {}) {
+ return input({
+ message: `Provide feedback to ${chalk.yellow(
+ node.to
+ )} as ${chalk.yellow(
+ node.from
+ )}. Press enter to skip and use auto-reply, or type 'exit' to end the conversation: `,
+ });
+ },
+ };
+ },
+};
+
+module.exports = { cli };
diff --git a/server/utils/agents/aibitat/plugins/file-history.js b/server/utils/agents/aibitat/plugins/file-history.js
new file mode 100644
index 000000000..2cab5e1a5
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/file-history.js
@@ -0,0 +1,37 @@
+const fs = require("fs");
+const path = require("path");
+
+/**
+ * Plugin to save chat history to a json file
+ */
+const fileHistory = {
+ name: "file-history-plugin",
+ startupConfig: {
+ params: {},
+ },
+ plugin: function ({
+ filename = `history/chat-history-${new Date().toISOString()}.json`,
+ } = {}) {
+ return {
+ name: this.name,
+ setup(aibitat) {
+ const folderPath = path.dirname(filename);
+ // get path from filename
+ if (folderPath) {
+ fs.mkdirSync(folderPath, { recursive: true });
+ }
+
+ aibitat.onMessage(() => {
+ const content = JSON.stringify(aibitat.chats, null, 2);
+ fs.writeFile(filename, content, (err) => {
+ if (err) {
+ console.error(err);
+ }
+ });
+ });
+ },
+ };
+ },
+};
+
+module.exports = { fileHistory };
diff --git a/server/utils/agents/aibitat/plugins/index.js b/server/utils/agents/aibitat/plugins/index.js
new file mode 100644
index 000000000..5892df4a4
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/index.js
@@ -0,0 +1,26 @@
+const { webBrowsing } = require("./web-browsing.js");
+const { webScraping } = require("./web-scraping.js");
+const { websocket } = require("./websocket.js");
+const { docSummarizer } = require("./summarize.js");
+const { saveFileInBrowser } = require("./save-file-browser.js");
+const { chatHistory } = require("./chat-history.js");
+const { memory } = require("./memory.js");
+
+module.exports = {
+ webScraping,
+ webBrowsing,
+ websocket,
+ docSummarizer,
+ saveFileInBrowser,
+ chatHistory,
+ memory,
+
+ // Plugin name aliases so they can be pulled by slug as well.
+ [webScraping.name]: webScraping,
+ [webBrowsing.name]: webBrowsing,
+ [websocket.name]: websocket,
+ [docSummarizer.name]: docSummarizer,
+ [saveFileInBrowser.name]: saveFileInBrowser,
+ [chatHistory.name]: chatHistory,
+ [memory.name]: memory,
+};
diff --git a/server/utils/agents/aibitat/plugins/memory.js b/server/utils/agents/aibitat/plugins/memory.js
new file mode 100644
index 000000000..c76b687b1
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/memory.js
@@ -0,0 +1,134 @@
+const { v4 } = require("uuid");
+const { getVectorDbClass, getLLMProvider } = require("../../../helpers");
+const { Deduplicator } = require("../utils/dedupe");
+
+const memory = {
+ name: "rag-memory",
+ startupConfig: {
+ params: {},
+ },
+ plugin: function () {
+ return {
+ name: this.name,
+ setup(aibitat) {
+ aibitat.function({
+ super: aibitat,
+ tracker: new Deduplicator(),
+ name: this.name,
+ description:
+ "Search against local documents for context that is relevant to the query or store a snippet of text into memory for retrieval later. Storing information should only be done when the user specifically requests for information to be remembered or saved to long-term memory. You should use this tool before search the internet for information.",
+ parameters: {
+ $schema: "http://json-schema.org/draft-07/schema#",
+ type: "object",
+ properties: {
+ action: {
+ type: "string",
+ enum: ["search", "store"],
+ description:
+ "The action we want to take to search for existing similar context or storage of new context.",
+ },
+ content: {
+ type: "string",
+ description:
+ "The plain text to search our local documents with or to store in our vector database.",
+ },
+ },
+ additionalProperties: false,
+ },
+ handler: async function ({ action = "", content = "" }) {
+ try {
+ if (this.tracker.isDuplicate(this.name, { action, content }))
+ return `This was a duplicated call and it's output will be ignored.`;
+
+ let response = "There was nothing to do.";
+ if (action === "search") response = await this.search(content);
+ if (action === "store") response = await this.store(content);
+
+ this.tracker.trackRun(this.name, { action, content });
+ return response;
+ } catch (error) {
+ console.log(error);
+ return `There was an error while calling the function. ${error.message}`;
+ }
+ },
+ search: async function (query = "") {
+ try {
+ const workspace = this.super.handlerProps.invocation.workspace;
+ const LLMConnector = getLLMProvider({
+ provider: workspace?.chatProvider,
+ model: workspace?.chatModel,
+ });
+ const vectorDB = getVectorDbClass();
+ const { contextTexts = [] } =
+ await vectorDB.performSimilaritySearch({
+ namespace: workspace.slug,
+ input: query,
+ LLMConnector,
+ });
+
+ if (contextTexts.length === 0) {
+ this.super.introspect(
+ `${this.caller}: I didn't find anything locally that would help answer this question.`
+ );
+ return "There was no additional context found for that query. We should search the web for this information.";
+ }
+
+ this.super.introspect(
+ `${this.caller}: Found ${contextTexts.length} additional piece of context to help answer this question.`
+ );
+
+ let combinedText = "Additional context for query:\n";
+ for (const text of contextTexts) combinedText += text + "\n\n";
+ return combinedText;
+ } catch (error) {
+ this.super.handlerProps.log(
+ `memory.search raised an error. ${error.message}`
+ );
+ return `An error was raised while searching the vector database. ${error.message}`;
+ }
+ },
+ store: async function (content = "") {
+ try {
+ const workspace = this.super.handlerProps.invocation.workspace;
+ const vectorDB = getVectorDbClass();
+ const { error } = await vectorDB.addDocumentToNamespace(
+ workspace.slug,
+ {
+ docId: v4(),
+ id: v4(),
+ url: "file://embed-via-agent.txt",
+ title: "agent-memory.txt",
+ docAuthor: "@agent",
+ description: "Unknown",
+ docSource: "a text file stored by the workspace agent.",
+ chunkSource: "",
+ published: new Date().toLocaleString(),
+ wordCount: content.split(" ").length,
+ pageContent: content,
+ token_count_estimate: 0,
+ },
+ null
+ );
+
+ if (!!error)
+ return "The content was failed to be embedded properly.";
+ this.super.introspect(
+ `${this.caller}: I saved the content to long-term memory in this workspaces vector database.`
+ );
+ return "The content given was successfully embedded. There is nothing else to do.";
+ } catch (error) {
+ this.super.handlerProps.log(
+ `memory.store raised an error. ${error.message}`
+ );
+ return `Let the user know this action was not successful. An error was raised while storing data in the vector database. ${error.message}`;
+ }
+ },
+ });
+ },
+ };
+ },
+};
+
+module.exports = {
+ memory,
+};
diff --git a/server/utils/agents/aibitat/plugins/save-file-browser.js b/server/utils/agents/aibitat/plugins/save-file-browser.js
new file mode 100644
index 000000000..0e5092096
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/save-file-browser.js
@@ -0,0 +1,70 @@
+const { Deduplicator } = require("../utils/dedupe");
+
+const saveFileInBrowser = {
+ name: "save-file-to-browser",
+ startupConfig: {
+ params: {},
+ },
+ plugin: function () {
+ return {
+ name: this.name,
+ setup(aibitat) {
+ // List and summarize the contents of files that are embedded in the workspace
+ aibitat.function({
+ super: aibitat,
+ tracker: new Deduplicator(),
+ name: this.name,
+ description:
+ "Save content to a file when the user explicity asks for a download of the file.",
+ parameters: {
+ $schema: "http://json-schema.org/draft-07/schema#",
+ type: "object",
+ properties: {
+ file_content: {
+ type: "string",
+ description: "The content of the file that will be saved.",
+ },
+ filename: {
+ type: "string",
+ description:
+ "filename to save the file as with extension. Extension should be plaintext file extension.",
+ },
+ },
+ additionalProperties: false,
+ },
+ handler: async function ({ file_content = "", filename }) {
+ try {
+ if (
+ this.tracker.isDuplicate(this.name, { file_content, filename })
+ ) {
+ this.super.handlerProps.log(
+ `${this.name} was called, but exited early since it was not a unique call.`
+ );
+ return `${filename} file has been saved successfully!`;
+ }
+
+ this.super.socket.send("fileDownload", {
+ filename,
+ b64Content:
+ "data:text/plain;base64," +
+ Buffer.from(file_content, "utf8").toString("base64"),
+ });
+ this.super.introspect(`${this.caller}: Saving file ${filename}.`);
+ this.tracker.trackRun(this.name, { file_content, filename });
+ return `${filename} file has been saved successfully and will be downloaded automatically to the users browser.`;
+ } catch (error) {
+ this.super.handlerProps.log(
+ `save-file-to-browser raised an error. ${error.message}`
+ );
+ return `Let the user know this action was not successful. An error was raised while saving a file to the browser. ${error.message}`;
+ }
+ },
+ });
+ },
+ };
+ },
+};
+
+module.exports = {
+ saveFileInBrowser,
+};
diff --git a/server/utils/agents/aibitat/plugins/summarize.js b/server/utils/agents/aibitat/plugins/summarize.js
new file mode 100644
index 000000000..0c1a9f4e9
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/summarize.js
@@ -0,0 +1,130 @@
+const { Document } = require("../../../../models/documents");
+const { safeJsonParse } = require("../../../http");
+const { validate } = require("uuid");
+const { summarizeContent } = require("../utils/summarize");
+
+const docSummarizer = {
+ name: "document-summarizer",
+ startupConfig: {
+ params: {},
+ },
+ plugin: function () {
+ return {
+ name: this.name,
+ setup(aibitat) {
+ aibitat.function({
+ super: aibitat,
+ name: this.name,
+ controller: new AbortController(),
+ description:
+ "Can get the list of files available to search with descriptions and can select a single file to open and summarize.",
+ parameters: {
+ $schema: "http://json-schema.org/draft-07/schema#",
+ type: "object",
+ properties: {
+ action: {
+ type: "string",
+ enum: ["list", "summarize"],
+ description:
+ "The action to take. 'list' will return all files available and their document ids. 'summarize' will open and summarize the file by the document_id, in the format of a uuid.",
+ },
+ document_id: {
+ type: "string",
+ "x-nullable": true,
+ description:
+ "A document id to summarize the content of. Document id must be a uuid.",
+ },
+ },
+ additionalProperties: false,
+ },
+ handler: async function ({ action, document_id }) {
+ if (action === "list") return await this.listDocuments();
+ if (action === "summarize")
+ return await this.summarizeDoc(document_id);
+ return "There is nothing we can do. This function call returns no information.";
+ },
+
+ /**
+ * List all documents available in a workspace
+ * @returns List of files and their descriptions if available.
+ */
+ listDocuments: async function () {
+ try {
+ this.super.introspect(
+ `${this.caller}: Looking at the available documents.`
+ );
+ const documents = await Document.where({
+ workspaceId: this.super.handlerProps.invocation.workspace_id,
+ });
+ if (documents.length === 0)
+ return "No documents found - nothing can be done. Stop.";
+
+ this.super.introspect(
+ `${this.caller}: Found ${documents.length} documents`
+ );
+ const foundDocuments = documents.map((doc) => {
+ const metadata = safeJsonParse(doc.metadata, {});
+ return {
+ document_id: doc.docId,
+ filename: metadata?.title ?? "unknown.txt",
+ description: metadata?.description ?? "no description",
+ };
+ });
+
+ return JSON.stringify(foundDocuments);
+ } catch (error) {
+ this.super.handlerProps.log(
+ `document-summarizer.list raised an error. ${error.message}`
+ );
+ return `Let the user know this action was not successful. An error was raised while listing available files. ${error.message}`;
+ }
+ },
+
+ summarizeDoc: async function (documentId) {
+ try {
+ if (!validate(documentId)) {
+ this.super.handlerProps.log(
+ `${this.caller}: documentId ${documentId} is not a valid UUID`
+ );
+ return "This was not a valid documentID because it was not a uuid. No content was found.";
+ }
+
+ const document = await Document.content(documentId);
+ this.super.introspect(
+ `${this.caller}: Grabbing all content for ${
+ document?.title ?? "a discovered file."
+ }`
+ );
+ if (document?.content?.length < 8000) return content;
+
+ this.super.introspect(
+ `${this.caller}: Summarizing ${document?.title ?? ""}...`
+ );
+
+ this.super.onAbort(() => {
+ this.super.handlerProps.log(
+ "Abort was triggered, exiting summarization early."
+ );
+ this.controller.abort();
+ });
+
+ return await summarizeContent(
+ this.controller.signal,
+ document.content
+ );
+ } catch (error) {
+ this.super.handlerProps.log(
+ `document-summarizer.summarizeDoc raised an error. ${error.message}`
+ );
+ return `Let the user know this action was not successful. An error was raised while summarizing the file. ${error.message}`;
+ }
+ },
+ });
+ },
+ };
+ },
+};
+
+module.exports = {
+ docSummarizer,
+};
diff --git a/server/utils/agents/aibitat/plugins/web-browsing.js b/server/utils/agents/aibitat/plugins/web-browsing.js
new file mode 100644
index 000000000..889de840f
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/web-browsing.js
@@ -0,0 +1,169 @@
+const { SystemSettings } = require("../../../../models/systemSettings");
+
+const webBrowsing = {
+ name: "web-browsing",
+ startupConfig: {
+ params: {},
+ },
+ plugin: function () {
+ return {
+ name: this.name,
+ setup(aibitat) {
+ aibitat.function({
+ super: aibitat,
+ name: this.name,
+ description:
+ "Searches for a given query online using a search engine.",
+ parameters: {
+ $schema: "http://json-schema.org/draft-07/schema#",
+ type: "object",
+ properties: {
+ query: {
+ type: "string",
+ description: "A search query.",
+ },
+ },
+ additionalProperties: false,
+ },
+ handler: async function ({ query }) {
+ try {
+ if (query) return await this.search(query);
+ return "There is nothing we can do. This function call returns no information.";
+ } catch (error) {
+ return `There was an error while calling the function. No data or response was found. Let the user know this was the error: ${error.message}`;
+ }
+ },
+
+ /**
+ * Use Google Custom Search Engines
+ * Free to set up, easy to use, 100 calls/day!
+ * https://programmablesearchengine.google.com/controlpanel/create
+ */
+ search: async function (query) {
+ const provider =
+ (await SystemSettings.get({ label: "agent_search_provider" }))
+ ?.value ?? "unknown";
+ let engine;
+ switch (provider) {
+ case "google-search-engine":
+ engine = "_googleSearchEngine";
+ break;
+ case "serper-dot-dev":
+ engine = "_serperDotDev";
+ break;
+ default:
+ engine = "_googleSearchEngine";
+ }
+ return await this[engine](query);
+ },
+
+ /**
+ * Use Google Custom Search Engines
+ * Free to set up, easy to use, 100 calls/day
+ * https://programmablesearchengine.google.com/controlpanel/create
+ */
+ _googleSearchEngine: async function (query) {
+ if (!process.env.AGENT_GSE_CTX || !process.env.AGENT_GSE_KEY) {
+ this.super.introspect(
+ `${this.caller}: I can't use Google searching because the user has not defined the required API keys.\nVisit: https://programmablesearchengine.google.com/controlpanel/create to create the API keys.`
+ );
+ return `Search is disabled and no content was found. This functionality is disabled because the user has not set it up yet.`;
+ }
+
+ const searchURL = new URL(
+ "https://www.googleapis.com/customsearch/v1"
+ );
+ searchURL.searchParams.append("key", process.env.AGENT_GSE_KEY);
+ searchURL.searchParams.append("cx", process.env.AGENT_GSE_CTX);
+ searchURL.searchParams.append("q", query);
+
+ this.super.introspect(
+ `${this.caller}: Searching on Google for "${
+ query.length > 100 ? `${query.slice(0, 100)}...` : query
+ }"`
+ );
+ const searchResponse = await fetch(searchURL)
+ .then((res) => res.json())
+ .then((searchResult) => searchResult?.items || [])
+ .then((items) => {
+ return items.map((item) => {
+ return {
+ title: item.title,
+ link: item.link,
+ snippet: item.snippet,
+ };
+ });
+ })
+ .catch((e) => {
+ console.log(e);
+ return {};
+ });
+
+ return JSON.stringify(searchResponse);
+ },
+
+ /**
+ * Use Serper.dev
+ * Free to set up, easy to use, 2,500 calls for free one-time
+ * https://serper.dev
+ */
+ _serperDotDev: async function (query) {
+ if (!process.env.AGENT_SERPER_DEV_KEY) {
+ this.super.introspect(
+ `${this.caller}: I can't use Serper.dev searching because the user has not defined the required API key.\nVisit: https://serper.dev to create the API key for free.`
+ );
+ return `Search is disabled and no content was found. This functionality is disabled because the user has not set it up yet.`;
+ }
+
+ this.super.introspect(
+ `${this.caller}: Using Serper.dev to search for "${
+ query.length > 100 ? `${query.slice(0, 100)}...` : query
+ }"`
+ );
+ const { response, error } = await fetch(
+ "https://google.serper.dev/search",
+ {
+ method: "POST",
+ headers: {
+ "X-API-KEY": process.env.AGENT_SERPER_DEV_KEY,
+ "Content-Type": "application/json",
+ },
+ body: JSON.stringify({ q: query }),
+ redirect: "follow",
+ }
+ )
+ .then((res) => res.json())
+ .then((data) => {
+ return { response: data, error: null };
+ })
+ .catch((e) => {
+ return { response: null, error: e.message };
+ });
+ if (error)
+ return `There was an error searching for content. ${error}`;
+
+ const data = [];
+ if (response.hasOwnProperty("knowledgeGraph"))
+ data.push(response.knowledgeGraph);
+ response.organic?.forEach((searchResult) => {
+ const { title, link, snippet } = searchResult;
+ data.push({
+ title,
+ link,
+ snippet,
+ });
+ });
+
+ if (data.length === 0)
+ return `No information was found online for the search query.`;
+ return JSON.stringify(data);
+ },
+ });
+ },
+ };
+ },
+};
+
+module.exports = {
+ webBrowsing,
+};
diff --git a/server/utils/agents/aibitat/plugins/web-scraping.js b/server/utils/agents/aibitat/plugins/web-scraping.js
new file mode 100644
index 000000000..90e226c0f
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/web-scraping.js
@@ -0,0 +1,87 @@
+const { CollectorApi } = require("../../../collectorApi");
+const { summarizeContent } = require("../utils/summarize");
+
+const webScraping = {
+ name: "web-scraping",
+ startupConfig: {
+ params: {},
+ },
+ plugin: function () {
+ return {
+ name: this.name,
+ setup(aibitat) {
+ aibitat.function({
+ super: aibitat,
+ name: this.name,
+ controller: new AbortController(),
+ description:
+ "Scrapes the content of a webpage or online resource from a URL.",
+ parameters: {
+ $schema: "http://json-schema.org/draft-07/schema#",
+ type: "object",
+ properties: {
+ url: {
+ type: "string",
+ format: "uri",
+ description: "A web URL.",
+ },
+ },
+ additionalProperties: false,
+ },
+ handler: async function ({ url }) {
+ try {
+ if (url) return await this.scrape(url);
+ return "There is nothing we can do. This function call returns no information.";
+ } catch (error) {
+ return `There was an error while calling the function. No data or response was found. Let the user know this was the error: ${error.message}`;
+ }
+ },
+
+ /**
+ * Scrape a website and summarize the content based on objective if the content is too large.
+ * Objective is the original objective & task that user give to the agent, url is the url of the website to be scraped.
+ * Here we can leverage the document collector to get raw website text quickly.
+ *
+ * @param url
+ * @returns
+ */
+ scrape: async function (url) {
+ this.super.introspect(
+ `${this.caller}: Scraping the content of ${url}`
+ );
+ const { success, content } =
+ await new CollectorApi().getLinkContent(url);
+
+ if (!success) {
+ this.super.introspect(
+ `${this.caller}: could not scrape ${url}. I can't use this page's content.`
+ );
+ throw new Error(
+ `URL could not be scraped and no content was found.`
+ );
+ }
+
+ if (content?.length <= 8000) {
+ return content;
+ }
+
+ this.super.introspect(
+ `${this.caller}: This page's content is way too long. I will summarize it right now.`
+ );
+ this.super.onAbort(() => {
+ this.super.handlerProps.log(
+ "Abort was triggered, exiting summarization early."
+ );
+ this.controller.abort();
+ });
+ return summarizeContent(this.controller.signal, content);
+ },
+ });
+ },
+ };
+ },
+};
+
+module.exports = {
+ webScraping,
+};
diff --git a/server/utils/agents/aibitat/plugins/websocket.js b/server/utils/agents/aibitat/plugins/websocket.js
new file mode 100644
index 000000000..b6154984d
--- /dev/null
+++ b/server/utils/agents/aibitat/plugins/websocket.js
@@ -0,0 +1,156 @@
+const chalk = require("chalk");
+const { RetryError } = require("../error");
+const { Telemetry } = require("../../../../models/telemetry");
+const SOCKET_TIMEOUT_MS = 300 * 1_000; // 5 mins
+
+/**
+ * Websocket Interface plugin. It prints the messages on the console and asks for feedback
+ * while the conversation is running in the background.
+ */
+
+// export interface AIbitatWebSocket extends ServerWebSocket {
+// askForFeedback?: any
+// awaitResponse?: any
+// handleFeedback?: (message: string) => void;
+// }
+
+const WEBSOCKET_BAIL_COMMANDS = [
+ "exit",
+ "/exit",
+ "stop",
+ "/stop",
+ "halt",
+ "/halt",
+];
+const websocket = {
+ name: "websocket",
+ startupConfig: {
+ params: {
+ socket: {
+ required: true,
+ },
+ muteUserReply: {
+ required: false,
+ default: true,
+ },
+ introspection: {
+ required: false,
+ default: true,
+ },
+ },
+ },
+ plugin: function ({
+ socket, // @type AIbitatWebSocket
+ muteUserReply = true, // Do not post messages to "USER" back to frontend.
+ introspection = false, // when enabled will attach socket to Aibitat object with .introspect method which reports status updates to frontend.
+ }) {
+ return {
+ name: this.name,
+ setup(aibitat) {
+ aibitat.onError(async (error) => {
+ if (!!error?.message) {
+ console.error(chalk.red(` error: ${error.message}`));
+ aibitat.introspect(
+ `Error encountered while running: ${error.message}`
+ );
+ }
+
+ if (error instanceof RetryError) {
+ console.error(chalk.red(` retrying in 60 seconds...`));
+ setTimeout(() => {
+ aibitat.retry();
+ }, 60000);
+ return;
+ }
+ });
+
+ aibitat.introspect = (messageText) => {
+ if (!introspection) return; // Dump thoughts when not wanted.
+ socket.send(
+ JSON.stringify({ type: "statusResponse", content: messageText })
+ );
+ };
+
+ // expose function for sockets across aibitat
+ // type param must be set or else msg will not be shown or handled in UI.
+ aibitat.socket = {
+ send: (type = "__unhandled", content = "") => {
+ socket.send(JSON.stringify({ type, content }));
+ },
+ };
+
+ // aibitat.onStart(() => {
+ // console.log("🚀 starting chat ...");
+ // });
+
+ aibitat.onMessage((message) => {
+ if (message.from !== "USER")
+ Telemetry.sendTelemetry("agent_chat_sent");
+ if (message.from === "USER" && muteUserReply) return;
+ socket.send(JSON.stringify(message));
+ });
+
+ aibitat.onTerminate(() => {
+ // console.log("🚀 chat finished");
+ socket.close();
+ });
+
+ aibitat.onInterrupt(async (node) => {
+ const feedback = await socket.askForFeedback(socket, node);
+ if (WEBSOCKET_BAIL_COMMANDS.includes(feedback)) {
+ socket.close();
+ return;
+ }
+
+ await aibitat.continue(feedback);
+ });
+
+ /**
+ * Socket wait for feedback on socket
+ *
+ * @param socket The content to summarize. // AIbitatWebSocket & { receive: any, echo: any }
+ * @param node The chat node // { from: string; to: string }
+ * @returns The summarized content.
+ */
+ socket.askForFeedback = (socket, node) => {
+ socket.awaitResponse = (question = "waiting...") => {
+ socket.send(JSON.stringify({ type: "WAITING_ON_INPUT", question }));
+
+ return new Promise(function (resolve) {
+ let socketTimeout = null;
+ socket.handleFeedback = (message) => {
+ const data = JSON.parse(message);
+ if (data.type !== "awaitingFeedback") return;
+ delete socket.handleFeedback;
+ clearTimeout(socketTimeout);
+ resolve(data.feedback);
+ return;
+ };
+
+ socketTimeout = setTimeout(() => {
+ console.log(
+ chalk.red(
+ `Client took too long to respond, chat thread is dead after ${SOCKET_TIMEOUT_MS}ms`
+ )
+ );
+ resolve("exit");
+ return;
+ }, SOCKET_TIMEOUT_MS);
+ });
+ };
+
+ return socket.awaitResponse(`Provide feedback to ${chalk.yellow(
+ node.to
+ )} as ${chalk.yellow(node.from)}.
+ Press enter to skip and use auto-reply, or type 'exit' to end the conversation: \n`);
+ };
+ // console.log("🚀 WS plugin is complete.");
+ },
+ };
+ },
+};
+
+module.exports = {
+ websocket,
+ WEBSOCKET_BAIL_COMMANDS,
+};
diff --git a/server/utils/agents/aibitat/providers/ai-provider.js b/server/utils/agents/aibitat/providers/ai-provider.js
new file mode 100644
index 000000000..3f9181bc4
--- /dev/null
+++ b/server/utils/agents/aibitat/providers/ai-provider.js
@@ -0,0 +1,19 @@
+/**
+ * A service that provides an AI client to create a completion.
+ */
+
+class Provider {
+ _client;
+ constructor(client) {
+ if (this.constructor == Provider) {
+ throw new Error("Class is of abstract type and can't be instantiated");
+ }
+ this._client = client;
+ }
+
+ get client() {
+ return this._client;
+ }
+}
+
+module.exports = Provider;
diff --git a/server/utils/agents/aibitat/providers/anthropic.js b/server/utils/agents/aibitat/providers/anthropic.js
new file mode 100644
index 000000000..8d7e40ed7
--- /dev/null
+++ b/server/utils/agents/aibitat/providers/anthropic.js
@@ -0,0 +1,210 @@
+const Anthropic = require("@anthropic-ai/sdk");
+const { RetryError } = require("../error.js");
+const Provider = require("./ai-provider.js");
+
+/**
+ * The provider for the Anthropic API.
+ * By default, the model is set to 'claude-2'.
+ */
+class AnthropicProvider extends Provider {
+ model;
+
+ constructor(config = {}) {
+ const {
+ options = {
+ apiKey: process.env.ANTHROPIC_API_KEY,
+ maxRetries: 3,
+ },
+ model = "claude-2",
+ } = config;
+
+ const client = new Anthropic(options);
+
+ super(client);
+
+ this.model = model;
+ }
+
+ // For Anthropic we will always need to ensure the message sequence is role,content
+ // as we can attach any data to message nodes and this keeps the message property
+ // sent to the API always in spec.
+ #sanitize(chats) {
+ const sanitized = [...chats];
+
+ // If the first message is not a USER, Anthropic will abort so keep shifting the
+ // message array until that is the case.
+ while (sanitized.length > 0 && sanitized[0].role !== "user")
+ sanitized.shift();
+
+ return sanitized.map((msg) => {
+ const { role, content } = msg;
+ return { role, content };
+ });
+ }
+
+ #normalizeChats(messages = []) {
+ if (!messages.length) return messages;
+ const normalized = [];
+
+ [...messages].forEach((msg, i) => {
+ if (msg.role !== "function") return normalized.push(msg);
+
+ // If the last message is a role "function" this is our special aibitat message node.
+ // and we need to remove it from the array of messages.
+ // Since Anthropic needs to have the tool call resolved, we look at the previous chat to "function"
+ // and go through its content "thought" from ~ln:143 and get the tool_call id so we can resolve
+ // this tool call properly.
+ const functionCompletion = msg;
+ const toolCallId = messages[i - 1]?.content?.find(
+ (msg) => msg.type === "tool_use"
+ )?.id;
+
+ // Append the Anthropic acceptable node to the message chain so function can resolve.
+ normalized.push({
+ role: "user",
+ content: [
+ {
+ type: "tool_result",
+ tool_use_id: toolCallId,
+ content: functionCompletion.content,
+ },
+ ],
+ });
+ });
+ return normalized;
+ }
+
+ // Anthropic handles system message as a property, so here we split the system message prompt
+ // from all the chats and then normalize them so they will be useable in case of tool_calls or general chat.
+ #parseSystemPrompt(messages = []) {
+ const chats = [];
+ let systemPrompt =
+ "You are a helpful ai assistant who can assist the user and use tools available to help answer the users prompts and questions.";
+ for (const msg of messages) {
+ if (msg.role === "system") {
+ systemPrompt = msg.content;
+ continue;
+ }
+ chats.push(msg);
+ }
+
+ return [systemPrompt, this.#normalizeChats(chats)];
+ }
+
+ // Anthropic does not use the regular schema for functions so here we need to ensure it is in there specific format
+ // so that the call can run correctly.
+ #formatFunctions(functions = []) {
+ return functions.map((func) => {
+ const { name, description, parameters, required } = func;
+ const { type, properties } = parameters;
+ return {
+ name,
+ description,
+ input_schema: {
+ type,
+ properties,
+ required,
+ },
+ };
+ });
+ }
+
+ /**
+ * Create a completion based on the received messages.
+ *
+ * @param messages A list of messages to send to the Anthropic API.
+ * @param functions
+ * @returns The completion.
+ */
+ async complete(messages, functions = null) {
+ try {
+ const [systemPrompt, chats] = this.#parseSystemPrompt(messages);
+ const response = await this.client.messages.create(
+ {
+ model: this.model,
+ max_tokens: 4096,
+ system: systemPrompt,
+ messages: this.#sanitize(chats),
+ stream: false,
+ ...(Array.isArray(functions) && functions?.length > 0
+ ? { tools: this.#formatFunctions(functions) }
+ : {}),
+ },
+ { headers: { "anthropic-beta": "tools-2024-04-04" } } // Required to we can use tools.
+ );
+
+ // We know that we need to call a tool. So we are about to recurse through completions/handleExecution
+ // https://docs.anthropic.com/claude/docs/tool-use#how-tool-use-works
+ if (response.stop_reason === "tool_use") {
+ // Get the tool call explicitly.
+ const toolCall = response.content.find(
+ (res) => res.type === "tool_use"
+ );
+
+ // Here we need the chain of thought the model may or may not have generated alongside the call.
+ // this needs to be in a very specific format so we always ensure there is a 2-item content array
+ // so that we can ensure the tool_call content is correct. For anthropic all text items must not
+ // be empty, but the api will still return empty text so we need to make 100% sure text is not empty
+ // or the tool call will fail.
+ // wtf.
+ let thought = response.content.find((res) => res.type === "text");
+ thought =
+ thought?.content?.length > 0
+ ? {
+ role: thought.role,
+ content: [
+ { type: "text", text: thought.content },
+ { ...toolCall },
+ ],
+ }
+ : {
+ role: "assistant",
+ content: [
+ {
+ type: "text",
+ text: `Okay, im going to use ${toolCall.name} to help me.`,
+ },
+ { ...toolCall },
+ ],
+ };
+
+ // Modify messages forcefully by adding system thought so that tool_use/tool_result
+ // messaging works with Anthropic's disastrous tool calling API.
+ messages.push(thought);
+
+ const functionArgs = toolCall.input;
+ return {
+ result: null,
+ functionCall: {
+ name: toolCall.name,
+ arguments: functionArgs,
+ },
+ cost: 0,
+ };
+ }
+
+ const completion = response.content.find((msg) => msg.type === "text");
+ return {
+ result:
+ completion?.text ?? "I could not generate a response from this.",
+ cost: 0,
+ };
+ } catch (error) {
+ // If invalid Auth error we need to abort because no amount of waiting
+ // will make auth better.
+ if (error instanceof Anthropic.AuthenticationError) throw error;
+
+ if (
+ error instanceof Anthropic.RateLimitError ||
+ error instanceof Anthropic.InternalServerError ||
+ error instanceof Anthropic.APIError // Also will catch AuthenticationError!!!
+ ) {
+ throw new RetryError(error.message);
+ }
+
+ throw error;
+ }
+ }
+}
+
+module.exports = AnthropicProvider;
diff --git a/server/utils/agents/aibitat/providers/index.js b/server/utils/agents/aibitat/providers/index.js
new file mode 100644
index 000000000..b163b4cd0
--- /dev/null
+++ b/server/utils/agents/aibitat/providers/index.js
@@ -0,0 +1,7 @@
+const OpenAIProvider = require("./openai.js");
+const AnthropicProvider = require("./anthropic.js");
+
+module.exports = {
+ OpenAIProvider,
+ AnthropicProvider,
+};
diff --git a/server/utils/agents/aibitat/providers/openai.js b/server/utils/agents/aibitat/providers/openai.js
new file mode 100644
index 000000000..4458afe8f
--- /dev/null
+++ b/server/utils/agents/aibitat/providers/openai.js
@@ -0,0 +1,147 @@
+const OpenAI = require("openai:latest");
+const Provider = require("./ai-provider.js");
+const { RetryError } = require("../error.js");
+
+/**
+ * The provider for the OpenAI API.
+ * By default, the model is set to 'gpt-3.5-turbo'.
+ */
+class OpenAIProvider extends Provider {
+ model;
+ static COST_PER_TOKEN = {
+ "gpt-4": {
+ input: 0.03,
+ output: 0.06,
+ },
+ "gpt-4-32k": {
+ input: 0.06,
+ output: 0.12,
+ },
+ "gpt-3.5-turbo": {
+ input: 0.0015,
+ output: 0.002,
+ },
+ "gpt-3.5-turbo-16k": {
+ input: 0.003,
+ output: 0.004,
+ },
+ };
+
+ constructor(config = {}) {
+ const {
+ options = {
+ apiKey: process.env.OPEN_AI_KEY,
+ maxRetries: 3,
+ },
+ model = "gpt-3.5-turbo",
+ } = config;
+
+ const client = new OpenAI(options);
+
+ super(client);
+
+ this.model = model;
+ }
+
+ /**
+ * Create a completion based on the received messages.
+ *
+ * @param messages A list of messages to send to the OpenAI API.
+ * @param functions
+ * @returns The completion.
+ */
+ async complete(messages, functions = null) {
+ try {
+ const response = await this.client.chat.completions.create({
+ model: this.model,
+ // stream: true,
+ messages,
+ ...(Array.isArray(functions) && functions?.length > 0
+ ? { functions }
+ : {}),
+ });
+
+ // Right now, we only support one completion,
+ // so we just take the first one in the list
+ const completion = response.choices[0].message;
+ const cost = this.getCost(response.usage);
+ // treat function calls
+ if (completion.function_call) {
+ let functionArgs = {};
+ try {
+ functionArgs = JSON.parse(completion.function_call.arguments);
+ } catch (error) {
+ // call the complete function again in case it gets a json error
+ return this.complete(
+ [
+ ...messages,
+ {
+ role: "function",
+ name: completion.function_call.name,
+ function_call: completion.function_call,
+ content: error?.message,
+ },
+ ],
+ functions
+ );
+ }
+
+ // console.log(completion, { functionArgs })
+ return {
+ result: null,
+ functionCall: {
+ name: completion.function_call.name,
+ arguments: functionArgs,
+ },
+ cost,
+ };
+ }
+
+ return {
+ result: completion.content,
+ cost,
+ };
+ } catch (error) {
+ // If invalid Auth error we need to abort because no amount of waiting
+ // will make auth better.
+ if (error instanceof OpenAI.AuthenticationError) throw error;
+
+ if (
+ error instanceof OpenAI.RateLimitError ||
+ error instanceof OpenAI.InternalServerError ||
+ error instanceof OpenAI.APIError // Also will catch AuthenticationError!!!
+ ) {
+ throw new RetryError(error.message);
+ }
+
+ throw error;
+ }
+ }
+
+ /**
+ * Get the cost of the completion.
+ *
+ * @param usage The completion to get the cost for.
+ * @returns The cost of the completion.
+ */
+ getCost(usage) {
+ if (!usage) {
+ return Number.NaN;
+ }
+
+ // regex to remove the version number from the model
+ const modelBase = this.model.replace(/-(\d{4})$/, "");
+
+ if (!(modelBase in OpenAIProvider.COST_PER_TOKEN)) {
+ return Number.NaN;
+ }
+
+ const costPerToken = OpenAIProvider.COST_PER_TOKEN?.[modelBase];
+ const inputCost = (usage.prompt_tokens / 1000) * costPerToken.input;
+ const outputCost = (usage.completion_tokens / 1000) * costPerToken.output;
+
+ return inputCost + outputCost;
+ }
+}
+
+module.exports = OpenAIProvider;
diff --git a/server/utils/agents/aibitat/utils/dedupe.js b/server/utils/agents/aibitat/utils/dedupe.js
new file mode 100644
index 000000000..b59efec6f
--- /dev/null
+++ b/server/utils/agents/aibitat/utils/dedupe.js
@@ -0,0 +1,35 @@
+// Some models may attempt to call an expensive or annoying function many times and in that case we will want
+// to implement some stateful tracking during that agent session. GPT4 and other more powerful models are smart
+// enough to realize this, but models like 3.5 lack this. Open source models suffer greatly from this issue.
+// eg: "save something to file..."
+// agent -> saves
+// agent -> saves
+// agent -> saves
+// agent -> saves
+// ... do random # of times.
+// We want to block all the reruns of a plugin, so we can add this to prevent that behavior from
+// spamming the user (or other costly function) that have the exact same signatures.
+const crypto = require("crypto");
+
+class Deduplicator {
+ #hashes = {};
+ constructor() {}
+
+ trackRun(key, params = {}) {
+ const hash = crypto
+ .createHash("sha256")
+ .update(JSON.stringify({ key, params }))
+ .digest("hex");
+ this.#hashes[hash] = Number(new Date());
+ }
+
+ isDuplicate(key, params = {}) {
+ const newSig = crypto
+ .createHash("sha256")
+ .update(JSON.stringify({ key, params }))
+ .digest("hex");
+ return this.#hashes.hasOwnProperty(newSig);
+ }
+}
+
+module.exports.Deduplicator = Deduplicator;
diff --git a/server/utils/agents/aibitat/utils/summarize.js b/server/utils/agents/aibitat/utils/summarize.js
new file mode 100644
index 000000000..26eae988a
--- /dev/null
+++ b/server/utils/agents/aibitat/utils/summarize.js
@@ -0,0 +1,52 @@
+const { loadSummarizationChain } = require("langchain/chains");
+const { ChatOpenAI } = require("langchain/chat_models/openai");
+const { PromptTemplate } = require("langchain/prompts");
+const { RecursiveCharacterTextSplitter } = require("langchain/text_splitter");
+/**
+ * Summarize content using OpenAI's GPT-3.5 model.
+ *
+ * @param self The context of the caller function
+ * @param content The content to summarize.
+ * @returns The summarized content.
+ */
+async function summarizeContent(controllerSignal, content) {
+ const llm = new ChatOpenAI({
+ openAIApiKey: process.env.OPEN_AI_KEY,
+ temperature: 0,
+ modelName: "gpt-3.5-turbo-16k-0613",
+ });
+
+ const textSplitter = new RecursiveCharacterTextSplitter({
+ separators: ["\n\n", "\n"],
+ chunkSize: 10000,
+ chunkOverlap: 500,
+ });
+ const docs = await textSplitter.createDocuments([content]);
+
+ const mapPrompt = `
+ Write a detailed summary of the following text for a research purpose:
+ "{text}"
+ SUMMARY:
+ `;
+
+ const mapPromptTemplate = new PromptTemplate({
+ template: mapPrompt,
+ inputVariables: ["text"],
+ });
+
+ // This convenience function creates a document chain prompted to summarize a set of documents.
+ const chain = loadSummarizationChain(llm, {
+ type: "map_reduce",
+ combinePrompt: mapPromptTemplate,
+ combineMapPrompt: mapPromptTemplate,
+ verbose: process.env.NODE_ENV === "development",
+ });
+ const res = await chain.call({
+ ...(controllerSignal ? { signal: controllerSignal } : {}),
+ input_documents: docs,
+ });
+
+ return res.text;
+}
+
+module.exports = { summarizeContent };
diff --git a/server/utils/agents/defaults.js b/server/utils/agents/defaults.js
new file mode 100644
index 000000000..a030778f4
--- /dev/null
+++ b/server/utils/agents/defaults.js
@@ -0,0 +1,42 @@
+const AgentPlugins = require("./aibitat/plugins");
+const { SystemSettings } = require("../../models/systemSettings");
+const { safeJsonParse } = require("../http");
+
+const USER_AGENT = {
+ name: "USER",
+ getDefinition: async () => {
+ return {
+ interrupt: "ALWAYS",
+ role: "I am the human monitor and oversee this chat. Any questions on action or decision making should be directed to me.",
+ };
+ },
+};
+
+const WORKSPACE_AGENT = {
+ name: "@agent",
+ getDefinition: async () => {
+ const defaultFunctions = [
+ AgentPlugins.memory.name, // RAG
+ AgentPlugins.docSummarizer.name, // Doc Summary
+ AgentPlugins.webScraping.name, // Collector web-scraping
+ ];
+
+ const _setting = (
+ await SystemSettings.get({ label: "default_agent_skills" })
+ )?.value;
+ safeJsonParse(_setting, []).forEach((skillName) => {
+ if (!AgentPlugins.hasOwnProperty(skillName)) return;
+ defaultFunctions.push(AgentPlugins[skillName].name);
+ });
+
+ return {
+ role: "You are a helpful ai assistant who can assist the user and use tools available to help answer the users prompts and questions.",
+ functions: defaultFunctions,
+ };
+ },
+};
+
+module.exports = {
+ USER_AGENT,
+ WORKSPACE_AGENT,
+};
diff --git a/server/utils/agents/index.js b/server/utils/agents/index.js
new file mode 100644
index 000000000..ce80fff44
--- /dev/null
+++ b/server/utils/agents/index.js
@@ -0,0 +1,202 @@
+const AIbitat = require("./aibitat");
+const AgentPlugins = require("./aibitat/plugins");
+const {
+ WorkspaceAgentInvocation,
+} = require("../../models/workspaceAgentInvocation");
+const { WorkspaceChats } = require("../../models/workspaceChats");
+const { safeJsonParse } = require("../http");
+const { USER_AGENT, WORKSPACE_AGENT } = require("./defaults");
+
+class AgentHandler {
+ #invocationUUID;
+ #funcsToLoad = [];
+ invocation = null;
+ aibitat = null;
+ channel = null;
+ provider = null;
+ model = null;
+
+ constructor({ uuid }) {
+ this.#invocationUUID = uuid;
+ }
+
+ log(text, ...args) {
+ console.log(`\x1b[36m[AgentHandler]\x1b[0m ${text}`, ...args);
+ }
+
+ closeAlert() {
+ this.log(`End ${this.#invocationUUID}::${this.provider}:${this.model}`);
+ }
+
+ async #chatHistory(limit = 10) {
+ try {
+ const rawHistory = (
+ await WorkspaceChats.where(
+ {
+ workspaceId: this.invocation.workspace_id,
+ user_id: this.invocation.user_id || null,
+ thread_id: this.invocation.user_id || null,
+ include: true,
+ },
+ limit,
+ { id: "desc" }
+ )
+ ).reverse();
+
+ const agentHistory = [];
+ rawHistory.forEach((chatLog) => {
+ agentHistory.push(
+ {
+ from: USER_AGENT.name,
+ to: WORKSPACE_AGENT.name,
+ content: chatLog.prompt,
+ state: "success",
+ },
+ {
+ from: WORKSPACE_AGENT.name,
+ to: USER_AGENT.name,
+ content: safeJsonParse(chatLog.response)?.text || "",
+ state: "success",
+ }
+ );
+ });
+ return agentHistory;
+ } catch (e) {
+ this.log("Error loading chat history", e.message);
+ return [];
+ }
+ }
+
+ #checkSetup() {
+ switch (this.provider) {
+ case "openai":
+ if (!process.env.OPEN_AI_KEY)
+ throw new Error("OpenAI API key must be provided to use agents.");
+ break;
+ case "anthropic":
+ if (!process.env.ANTHROPIC_API_KEY)
+ throw new Error("Anthropic API key must be provided to use agents.");
+ break;
+ default:
+ throw new Error("No provider found to power agent cluster.");
+ }
+ }
+
+ #providerSetupAndCheck() {
+ this.provider = this.invocation.workspace.agentProvider || "openai";
+ this.model = this.invocation.workspace.agentModel || "gpt-3.5-turbo";
+ this.log(`Start ${this.#invocationUUID}::${this.provider}:${this.model}`);
+ this.#checkSetup();
+ }
+
+ async #validInvocation() {
+ const invocation = await WorkspaceAgentInvocation.getWithWorkspace({
+ uuid: String(this.#invocationUUID),
+ });
+ if (invocation?.closed)
+ throw new Error("This agent invocation is already closed");
+ this.invocation = invocation ?? null;
+ }
+
+ #attachPlugins(args) {
+ for (const name of this.#funcsToLoad) {
+ if (!AgentPlugins.hasOwnProperty(name)) {
+ this.log(
+ `${name} is not a valid plugin. Skipping inclusion to agent cluster.`
+ );
+ continue;
+ }
+
+ const callOpts = {};
+ for (const [param, definition] of Object.entries(
+ AgentPlugins[name].startupConfig.params
+ )) {
+ if (
+ definition.required &&
+ (!args.hasOwnProperty(param) || args[param] === null)
+ ) {
+ this.log(
+ `'${param}' required parameter for '${name}' plugin is missing. Plugin may not function or crash agent.`
+ );
+ continue;
+ }
+ callOpts[param] = args.hasOwnProperty(param)
+ ? args[param]
+ : definition.default || null;
+ }
+
+ const AIbitatPlugin = AgentPlugins[name];
+ this.aibitat.use(AIbitatPlugin.plugin(callOpts));
+ this.log(`Attached ${name} plugin to Agent cluster`);
+ }
+ }
+
+ async #loadAgents() {
+ // Default User agent and workspace agent
+ this.log(`Attaching user and default agent to Agent cluster.`);
+ this.aibitat.agent(USER_AGENT.name, await USER_AGENT.getDefinition());
+ this.aibitat.agent(
+ WORKSPACE_AGENT.name,
+ await WORKSPACE_AGENT.getDefinition()
+ );
+
+ this.#funcsToLoad = [
+ ...((await USER_AGENT.getDefinition())?.functions || []),
+ ...((await WORKSPACE_AGENT.getDefinition())?.functions || []),
+ ];
+ }
+
+ async init() {
+ await this.#validInvocation();
+ this.#providerSetupAndCheck();
+ return this;
+ }
+
+ async createAIbitat(
+ args = {
+ socket,
+ }
+ ) {
+ this.aibitat = new AIbitat({
+ provider: this.provider ?? "openai",
+ model: this.model ?? "gpt-3.5-turbo",
+ chats: await this.#chatHistory(20),
+ handlerProps: {
+ invocation: this.invocation,
+ log: this.log,
+ },
+ });
+
+ // Attach standard websocket plugin for frontend communication.
+ this.log(`Attached ${AgentPlugins.websocket.name} plugin to Agent cluster`);
+ this.aibitat.use(
+ AgentPlugins.websocket.plugin({
+ socket: args.socket,
+ muteUserReply: true,
+ introspection: true,
+ })
+ );
+
+ // Attach standard chat-history plugin for message storage.
+ this.log(
+ `Attached ${AgentPlugins.chatHistory.name} plugin to Agent cluster`
+ );
+ this.aibitat.use(AgentPlugins.chatHistory.plugin());
+
+ // Load required agents (Default + custom)
+ await this.#loadAgents();
+
+ // Attach all required plugins for functions to operate.
+ this.#attachPlugins(args);
+ }
+
+ startAgentCluster() {
+ return this.aibitat.start({
+ from: USER_AGENT.name,
+ to: this.channel ?? WORKSPACE_AGENT.name,
+ content: this.invocation.prompt,
+ });
+ }
+}
+
+module.exports.AgentHandler = AgentHandler;
diff --git a/server/utils/chats/agents.js b/server/utils/chats/agents.js
new file mode 100644
index 000000000..cd127d07f
--- /dev/null
+++ b/server/utils/chats/agents.js
@@ -0,0 +1,71 @@
+const pluralize = require("pluralize");
+const {
+ WorkspaceAgentInvocation,
+} = require("../../models/workspaceAgentInvocation");
+const { writeResponseChunk } = require("../helpers/chat/responses");
+
+async function grepAgents({
+ uuid,
+ response,
+ message,
+ workspace,
+ user = null,
+ thread = null,
+}) {
+ const agentHandles = WorkspaceAgentInvocation.parseAgents(message);
+ if (agentHandles.length > 0) {
+ const { invocation: newInvocation } = await WorkspaceAgentInvocation.new({
+ prompt: message,
+ workspace: workspace,
+ user: user,
+ thread: thread,
+ });
+
+ if (!newInvocation) {
+ writeResponseChunk(response, {
+ id: uuid,
+ type: "statusResponse",
+ textResponse: `${pluralize(
+ "Agent",
+ agentHandles.length
+ )} ${agentHandles.join(
+ ", "
+ )} could not be called. Chat will be handled as default chat.`,
+ sources: [],
+ close: true,
+ error: null,
+ });
+ return;
+ }
+
+ writeResponseChunk(response, {
+ id: uuid,
+ type: "agentInitWebsocketConnection",
+ textResponse: null,
+ sources: [],
+ close: false,
+ error: null,
+ websocketUUID: newInvocation.uuid,
+ });
+
+ // Close HTTP stream-able chunk response method because we will swap to agents now.
+ writeResponseChunk(response, {
+ id: uuid,
+ type: "statusResponse",
+ textResponse: `${pluralize(
+ "Agent",
+ agentHandles.length
+ )} ${agentHandles.join(
+ ", "
+ )} invoked.\nSwapping over to agent chat. Type /exit to exit agent execution loop early.`,
+ sources: [],
+ close: true,
+ error: null,
+ });
+ return true;
+ }
+
+ return false;
+}
+
+module.exports = { grepAgents };
diff --git a/server/utils/chats/stream.js b/server/utils/chats/stream.js
index 0ec969eba..57025da30 100644
--- a/server/utils/chats/stream.js
+++ b/server/utils/chats/stream.js
@@ -3,6 +3,7 @@ const { DocumentManager } = require("../DocumentManager");
const { WorkspaceChats } = require("../../models/workspaceChats");
const { getVectorDbClass, getLLMProvider } = require("../helpers");
const { writeResponseChunk } = require("../helpers/chat/responses");
+const { grepAgents } = require("./agents");
const {
grepCommand,
VALID_COMMANDS,
@@ -35,6 +36,17 @@ async function streamChatWithWorkspace(
return;
}
+ // If is agent enabled chat we will exit this flow early.
+ const isAgentChat = await grepAgents({
+ uuid,
+ response,
+ message,
+ user,
+ workspace,
+ thread,
+ });
+ if (isAgentChat) return;
+
const LLMConnector = getLLMProvider({
provider: workspace?.chatProvider,
model: workspace?.chatModel,
@@ -193,20 +205,30 @@ async function streamChatWithWorkspace(
});
}
- const { chat } = await WorkspaceChats.new({
- workspaceId: workspace.id,
- prompt: message,
- response: { text: completeText, sources, type: chatMode },
- threadId: thread?.id || null,
- user,
- });
+ if (completeText?.length > 0) {
+ const { chat } = await WorkspaceChats.new({
+ workspaceId: workspace.id,
+ prompt: message,
+ response: { text: completeText, sources, type: chatMode },
+ threadId: thread?.id || null,
+ user,
+ });
+
+ writeResponseChunk(response, {
+ uuid,
+ type: "finalizeResponseStream",
+ close: true,
+ error: false,
+ chatId: chat.id,
+ });
+ return;
+ }
writeResponseChunk(response, {
uuid,
type: "finalizeResponseStream",
close: true,
error: false,
- chatId: chat.id,
});
return;
}
diff --git a/server/utils/collectorApi/index.js b/server/utils/collectorApi/index.js
index d96cd1e6d..1a1431ac1 100644
--- a/server/utils/collectorApi/index.js
+++ b/server/utils/collectorApi/index.js
@@ -133,6 +133,29 @@ class CollectorApi {
return { success: false, data: {}, reason: e.message };
});
}
+
+ async getLinkContent(link = "") {
+ if (!link) return false;
+
+ const data = JSON.stringify({ link });
+ return await fetch(`${this.endpoint}/util/get-link`, {
+ method: "POST",
+ headers: {
+ "Content-Type": "application/json",
+ "X-Integrity": this.comkey.sign(data),
+ },
+ body: data,
+ })
+ .then((res) => {
+ if (!res.ok) throw new Error("Response could not be completed");
+ return res.json();
+ })
+ .then((res) => res)
+ .catch((e) => {
+ this.log(e.message);
+ return { success: false, content: null };
+ });
+ }
}
module.exports.CollectorApi = CollectorApi;
diff --git a/server/utils/helpers/customModels.js b/server/utils/helpers/customModels.js
index 5dfa30e31..d0d162c4a 100644
--- a/server/utils/helpers/customModels.js
+++ b/server/utils/helpers/customModels.js
@@ -47,21 +47,85 @@ async function openAiModels(apiKey = null) {
apiKey: apiKey || process.env.OPEN_AI_KEY,
});
const openai = new OpenAIApi(config);
- const models = (
- await openai
- .listModels()
- .then((res) => res.data.data)
- .catch((e) => {
- console.error(`OpenAI:listModels`, e.message);
- return [];
- })
- ).filter(
- (model) => !model.owned_by.includes("openai") && model.owned_by !== "system"
- );
+ const allModels = await openai
+ .listModels()
+ .then((res) => res.data.data)
+ .catch((e) => {
+ console.error(`OpenAI:listModels`, e.message);
+ return [
+ {
+ name: "gpt-3.5-turbo",
+ id: "gpt-3.5-turbo",
+ object: "model",
+ created: 1677610602,
+ owned_by: "openai",
+ organization: "OpenAi",
+ },
+ {
+ name: "gpt-4",
+ id: "gpt-4",
+ object: "model",
+ created: 1687882411,
+ owned_by: "openai",
+ organization: "OpenAi",
+ },
+ {
+ name: "gpt-4-turbo",
+ id: "gpt-4-turbo",
+ object: "model",
+ created: 1712361441,
+ owned_by: "system",
+ organization: "OpenAi",
+ },
+ {
+ name: "gpt-4-32k",
+ id: "gpt-4-32k",
+ object: "model",
+ created: 1687979321,
+ owned_by: "openai",
+ organization: "OpenAi",
+ },
+ {
+ name: "gpt-3.5-turbo-16k",
+ id: "gpt-3.5-turbo-16k",
+ object: "model",
+ created: 1683758102,
+ owned_by: "openai-internal",
+ organization: "OpenAi",
+ },
+ ];
+ });
+
+ const gpts = allModels
+ .filter((model) => model.id.startsWith("gpt"))
+ .filter(
+ (model) => !model.id.includes("vision") && !model.id.includes("instruct")
+ )
+ .map((model) => {
+ return {
+ ...model,
+ name: model.id,
+ organization: "OpenAi",
+ };
+ });
+
+ const customModels = allModels
+ .filter(
+ (model) =>
+ !model.owned_by.includes("openai") && model.owned_by !== "system"
+ )
+ .map((model) => {
+ return {
+ ...model,
+ name: model.id,
+ organization: "Your Fine-Tunes",
+ };
+ });
// Api Key was successful so lets save it for future uses
- if (models.length > 0 && !!apiKey) process.env.OPEN_AI_KEY = apiKey;
- return { models, error: null };
+ if ((gpts.length > 0 || customModels.length > 0) && !!apiKey)
+ process.env.OPEN_AI_KEY = apiKey;
+ return { models: [...gpts, ...customModels], error: null };
}
async function localAIModels(basePath = null, apiKey = null) {
diff --git a/server/utils/helpers/updateENV.js b/server/utils/helpers/updateENV.js
index c8d2645c7..9eb9a8e53 100644
--- a/server/utils/helpers/updateENV.js
+++ b/server/utils/helpers/updateENV.js
@@ -292,6 +292,20 @@ const KEY_MAPPING = {
envKey: "DISABLE_TELEMETRY",
checks: [],
},
+
+ // Agent Integration ENVs
+ AgentGoogleSearchEngineId: {
+ envKey: "AGENT_GSE_CTX",
+ checks: [],
+ },
+ AgentGoogleSearchEngineKey: {
+ envKey: "AGENT_GSE_KEY",
+ checks: [],
+ },
+ AgentSerperApiKey: {
+ envKey: "AGENT_SERPER_DEV_KEY",
+ checks: [],
+ },
};
function isNotEmpty(input = "") {
@@ -571,6 +585,12 @@ async function dumpENV() {
"HTTPS_KEY_PATH",
// DISABLED TELEMETRY
"DISABLE_TELEMETRY",
+
+ // Agent Integrations
+ // Search engine integrations
+ "AGENT_GSE_CTX",
+ "AGENT_GSE_KEY",
+ "AGENT_SERPER_DEV_KEY",
];
// Simple sanitization of each value to prevent ENV injection via newline or quote escaping.
diff --git a/server/yarn.lock b/server/yarn.lock
index 4cfbb7ffa..51dda19f7 100644
--- a/server/yarn.lock
+++ b/server/yarn.lock
@@ -302,6 +302,119 @@
resolved "https://registry.yarnpkg.com/@humanwhocodes/object-schema/-/object-schema-2.0.1.tgz#e5211452df060fa8522b55c7b3c0c4d1981cb044"
integrity sha512-dvuCeX5fC9dXgJn9t+X5atfmgQAzUOWqS1254Gh0m6i8wKd10ebXkfNKiRK+1GWi/yTvvLDHpoxLr0xxxeslWw==
+"@inquirer/checkbox@^2.2.1":
+ version "2.2.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/checkbox/-/checkbox-2.2.1.tgz#100fcade0209a9b5eaef80403e06130401a0b438"
+ integrity sha512-eYdhZWZMOaliMBPOL/AO3uId58lp+zMyrJdoZ2xw9hfUY4IYJlIMvgW80RJdvCY3q9fGMUyZI5GwguH2tO51ew==
+ dependencies:
+ "@inquirer/core" "^7.1.1"
+ "@inquirer/type" "^1.2.1"
+ ansi-escapes "^4.3.2"
+ chalk "^4.1.2"
+ figures "^3.2.0"
+
+"@inquirer/confirm@^3.1.1":
+ version "3.1.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/confirm/-/confirm-3.1.1.tgz#e17c9eafa3d8f494fad3f848ba1e4c61d0a7ddcf"
+ integrity sha512-epf2RVHJJxX5qF85U41PBq9qq2KTJW9sKNLx6+bb2/i2rjXgeoHVGUm8kJxZHavrESgXgBLKCABcfOJYIso8cQ==
+ dependencies:
+ "@inquirer/core" "^7.1.1"
+ "@inquirer/type" "^1.2.1"
+
+"@inquirer/core@^7.1.1":
+ version "7.1.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/core/-/core-7.1.1.tgz#9339095720c00cfd1f85943977ae15d2f66f336a"
+ integrity sha512-rD1UI3eARN9qJBcLRXPOaZu++Bg+xsk0Tuz1EUOXEW+UbYif1sGjr0Tw7lKejHzKD9IbXE1CEtZ+xR/DrNlQGQ==
+ dependencies:
+ "@inquirer/type" "^1.2.1"
+ "@types/mute-stream" "^0.0.4"
+ "@types/node" "^20.11.30"
+ "@types/wrap-ansi" "^3.0.0"
+ ansi-escapes "^4.3.2"
+ chalk "^4.1.2"
+ cli-spinners "^2.9.2"
+ cli-width "^4.1.0"
+ figures "^3.2.0"
+ mute-stream "^1.0.0"
+ signal-exit "^4.1.0"
+ strip-ansi "^6.0.1"
+ wrap-ansi "^6.2.0"
+
+"@inquirer/editor@^2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/editor/-/editor-2.1.1.tgz#e2d50246fd7dd4b4c2f20b86c969912be4c36899"
+ integrity sha512-SGVAmSKY2tt62+5KUySYFeMwJEXX866Ws5MyjwbrbB+WqC8iZAtPcK0pz8KVsO0ak/DB3/vCZw0k2nl7TifV5g==
+ dependencies:
+ "@inquirer/core" "^7.1.1"
+ "@inquirer/type" "^1.2.1"
+ external-editor "^3.1.0"
+
+"@inquirer/expand@^2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/expand/-/expand-2.1.1.tgz#5364c5ddf0fb6358c5610103efde6a4aa366c2fe"
+ integrity sha512-FTHf56CgE24CtweB+3sF4mOFa6Q7H8NfTO+SvYio3CgQwhIWylSNueEeJ7sYBnWaXHNUfiX883akgvSbWqSBoQ==
+ dependencies:
+ "@inquirer/core" "^7.1.1"
+ "@inquirer/type" "^1.2.1"
+ chalk "^4.1.2"
+
+"@inquirer/input@^2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/input/-/input-2.1.1.tgz#a293a1d1bef103a1f4176d5b41df6d3272b7b48f"
+ integrity sha512-Ag5PDh3/V3B68WGD/5LKXDqbdWKlF7zyfPAlstzu0NoZcZGBbZFjfgXlZIcb6Gs+AfdSi7wNf7soVAaMGH7moQ==
+ dependencies:
+ "@inquirer/core" "^7.1.1"
+ "@inquirer/type" "^1.2.1"
+
+"@inquirer/password@^2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/password/-/password-2.1.1.tgz#9465dc1afa28bc75de2ee5fdb18852a25b2fe00e"
+ integrity sha512-R5R6NVXDKXEjAOGBqgRGrchFlfdZIx/qiDvH63m1u1NQVOQFUMfHth9VzVwuTZ2LHzbb9UrYpBumh2YytFE9iQ==
+ dependencies:
+ "@inquirer/core" "^7.1.1"
+ "@inquirer/type" "^1.2.1"
+ ansi-escapes "^4.3.2"
+
+"@inquirer/prompts@^4.3.1":
+ version "4.3.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/prompts/-/prompts-4.3.1.tgz#f2906a5d7b4c2c8af9bd5bd8d495466bdd52f411"
+ integrity sha512-FI8jhVm3GRJ/z40qf7YZnSP0TfPKDPdIYZT9W6hmiYuaSmAXL66YMXqonKyysE5DwtKQBhIqt0oSoTKp7FCvQQ==
+ dependencies:
+ "@inquirer/checkbox" "^2.2.1"
+ "@inquirer/confirm" "^3.1.1"
+ "@inquirer/core" "^7.1.1"
+ "@inquirer/editor" "^2.1.1"
+ "@inquirer/expand" "^2.1.1"
+ "@inquirer/input" "^2.1.1"
+ "@inquirer/password" "^2.1.1"
+ "@inquirer/rawlist" "^2.1.1"
+ "@inquirer/select" "^2.2.1"
+
+"@inquirer/rawlist@^2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/rawlist/-/rawlist-2.1.1.tgz#07ba2f9c4185e3787954e4023ae16d1a44d6da92"
+ integrity sha512-PIpJdNqVhjnl2bDz8iUKqMmgGdspN4s7EZiuNPnNrqZLP+LRUDDHVyd7X7xjiEMulBt3lt2id4SjTbra+v/Ajg==
+ dependencies:
+ "@inquirer/core" "^7.1.1"
+ "@inquirer/type" "^1.2.1"
+ chalk "^4.1.2"
+
+"@inquirer/select@^2.2.1":
+ version "2.2.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/select/-/select-2.2.1.tgz#cd1f8b7869a74ff7f409a01f27998d06e234ea98"
+ integrity sha512-JR4FeHvuxPSPWQy8DzkIvoIsJ4SWtSFb4xVLvLto84dL+jkv12lm8ILtuax4bMHvg5MBj3wYUF6Tk9izJ07gdw==
+ dependencies:
+ "@inquirer/core" "^7.1.1"
+ "@inquirer/type" "^1.2.1"
+ ansi-escapes "^4.3.2"
+ chalk "^4.1.2"
+ figures "^3.2.0"
+
+"@inquirer/type@^1.2.1":
+ version "1.2.1"
+ resolved "https://registry.yarnpkg.com/@inquirer/type/-/type-1.2.1.tgz#fbc7ab3a2e5050d0c150642d5e8f5e88faa066b8"
+ integrity sha512-xwMfkPAxeo8Ji/IxfUSqzRi0/+F2GIqJmpc5/thelgMGsjNZcjDDRBO9TLXT1s/hdx/mK5QbVIvgoLIFgXhTMQ==
+
"@kwsites/file-exists@^1.1.1":
version "1.1.1"
resolved "https://registry.yarnpkg.com/@kwsites/file-exists/-/file-exists-1.1.1.tgz#ad1efcac13e1987d8dbaf235ef3be5b0d96faa99"
@@ -802,6 +915,13 @@
resolved "https://registry.yarnpkg.com/@types/long/-/long-4.0.2.tgz#b74129719fc8d11c01868010082d483b7545591a"
integrity sha512-MqTGEo5bj5t157U6fA/BiDynNkn0YknVdh48CMPkTSpFTVmvao5UQmm7uEF6xBEo7qIMAlY/JSleYaE6VOdpaA==
+"@types/mute-stream@^0.0.4":
+ version "0.0.4"
+ resolved "https://registry.yarnpkg.com/@types/mute-stream/-/mute-stream-0.0.4.tgz#77208e56a08767af6c5e1237be8888e2f255c478"
+ integrity sha512-CPM9nzrCPPJHQNA9keH9CVkVI+WR5kMa+7XEs5jcGQ0VoAGnLv242w8lIVgwAEfmE4oufJRaTc9PNLQl0ioAow==
+ dependencies:
+ "@types/node" "*"
+
"@types/node-fetch@^2.6.4":
version "2.6.7"
resolved "https://registry.yarnpkg.com/@types/node-fetch/-/node-fetch-2.6.7.tgz#a1abe2ce24228b58ad97f99480fdcf9bbc6ab16d"
@@ -841,6 +961,13 @@
dependencies:
undici-types "~5.26.4"
+"@types/node@^20.11.30":
+ version "20.12.4"
+ resolved "https://registry.yarnpkg.com/@types/node/-/node-20.12.4.tgz#af5921bd75ccdf3a3d8b3fa75bf3d3359268cd11"
+ integrity sha512-E+Fa9z3wSQpzgYQdYmme5X3OTuejnnTx88A6p6vkkJosR3KBz+HpE3kqNm98VE6cfLFcISx7zW7MsJkH6KwbTw==
+ dependencies:
+ undici-types "~5.26.4"
+
"@types/pad-left@2.1.1":
version "2.1.1"
resolved "https://registry.yarnpkg.com/@types/pad-left/-/pad-left-2.1.1.tgz#17d906fc75804e1cc722da73623f1d978f16a137"
@@ -861,6 +988,11 @@
resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-9.0.7.tgz#b14cebc75455eeeb160d5fe23c2fcc0c64f724d8"
integrity sha512-WUtIVRUZ9i5dYXefDEAI7sh9/O7jGvHg7Df/5O/gtH3Yabe5odI3UWopVR1qbPXQtvOxWu3mM4XxlYeZtMWF4g==
+"@types/wrap-ansi@^3.0.0":
+ version "3.0.0"
+ resolved "https://registry.yarnpkg.com/@types/wrap-ansi/-/wrap-ansi-3.0.0.tgz#18b97a972f94f60a679fd5c796d96421b9abb9fd"
+ integrity sha512-ltIpx+kM7g/MLRZfkbL7EsCEjfzCcScLpkg37eXEtx5kmrAKBkTJwd1GIAjDSL8wTpM6Hzn5YO4pSb91BEwu1g==
+
"@types/yauzl@^2.9.1":
version "2.10.0"
resolved "https://registry.yarnpkg.com/@types/yauzl/-/yauzl-2.10.0.tgz#b3248295276cf8c6f153ebe6a9aba0c988cb2599"
@@ -982,6 +1114,13 @@ ajv@^8.12.0:
require-from-string "^2.0.2"
uri-js "^4.2.2"
+ansi-escapes@^4.3.2:
+ version "4.3.2"
+ resolved "https://registry.yarnpkg.com/ansi-escapes/-/ansi-escapes-4.3.2.tgz#6b2291d1db7d98b6521d5f1efa42d0f3a9feb65e"
+ integrity sha512-gKXj5ALrKWQLsYG9jlTRmR/xKluxHV+Z9QEwNIgCfM1/uwPMCuzVVnh5mwTd+OuBZcwSIMbqssNWRm1lE51QaQ==
+ dependencies:
+ type-fest "^0.21.3"
+
ansi-regex@^5.0.1:
version "5.0.1"
resolved "https://registry.yarnpkg.com/ansi-regex/-/ansi-regex-5.0.1.tgz#082cb2c89c9fe8659a311a53bd6a4dc5301db304"
@@ -1335,6 +1474,11 @@ body-parser@^1.20.2:
type-is "~1.6.18"
unpipe "1.0.0"
+boolbase@^1.0.0:
+ version "1.0.0"
+ resolved "https://registry.yarnpkg.com/boolbase/-/boolbase-1.0.0.tgz#68dff5fbe60c51eb37725ea9e3ed310dcc1e776e"
+ integrity sha512-JZOSA7Mo9sNGB8+UjSgzdLtokWAky1zbztM3WRLCbZ70/3cTANmQmOdR7y2g+J0e2WXywy1yS468tY+IruqEww==
+
bottleneck@^2.15.3:
version "2.19.5"
resolved "https://registry.yarnpkg.com/bottleneck/-/bottleneck-2.19.5.tgz#5df0b90f59fd47656ebe63c78a98419205cadd91"
@@ -1475,7 +1619,7 @@ chalk@^2.4.2:
escape-string-regexp "^1.0.5"
supports-color "^5.3.0"
-chalk@^4.0.0:
+chalk@^4, chalk@^4.0.0, chalk@^4.1.2:
version "4.1.2"
resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
@@ -1488,6 +1632,11 @@ chalk@^5.0.0, chalk@^5.3.0:
resolved "https://registry.yarnpkg.com/chalk/-/chalk-5.3.0.tgz#67c20a7ebef70e7f3970a01f90fa210cb6860385"
integrity sha512-dLitG79d+GV1Nb/VYcCDFivJeK1hiukt9QjRNVOsUtTy1rR1YJsmpGGTZ3qJos+uw7WmWF4wUwBd9jxjocFC2w==
+chardet@^0.7.0:
+ version "0.7.0"
+ resolved "https://registry.yarnpkg.com/chardet/-/chardet-0.7.0.tgz#90094849f0937f2eedc2425d0d28a9e5f0cbad9e"
+ integrity sha512-mT8iDcrh03qDGRRmoA2hmBJnxpllMR+0/0qlzjqZES6NdiWDcZkCNAk4rPFZ9Q85r27unkiNNg8ZOiwZXBHwcA==
+
charenc@0.0.2:
version "0.0.2"
resolved "https://registry.yarnpkg.com/charenc/-/charenc-0.0.2.tgz#c0a1d2f3a7092e03774bfa83f14c0fc5790a8667"
@@ -1554,11 +1703,16 @@ cli-progress@^3.12.0:
dependencies:
string-width "^4.2.3"
-cli-spinners@^2.9.0:
+cli-spinners@^2.9.0, cli-spinners@^2.9.2:
version "2.9.2"
resolved "https://registry.yarnpkg.com/cli-spinners/-/cli-spinners-2.9.2.tgz#1773a8f4b9c4d6ac31563df53b3fc1d79462fe41"
integrity sha512-ywqV+5MmyL4E7ybXgKys4DugZbX0FC6LnwrhjuykIjnK9k8OQacQ7axGKnjDXWNhns0xot3bZI5h55H8yo9cJg==
+cli-width@^4.1.0:
+ version "4.1.0"
+ resolved "https://registry.yarnpkg.com/cli-width/-/cli-width-4.1.0.tgz#42daac41d3c254ef38ad8ac037672130173691c5"
+ integrity sha512-ouuZd4/dm2Sw5Gmqy6bGyNNNe1qt9RpmxveLSO7KcgsTnU7RXfsw+/bukWGo1abgBiMAic068rclZsO4IWmmxQ==
+
cliui@^8.0.1:
version "8.0.1"
resolved "https://registry.yarnpkg.com/cliui/-/cliui-8.0.1.tgz#0c04b075db02cbfe60dc8e6cf2f5486b1a3608aa"
@@ -1796,6 +1950,22 @@ crypt@0.0.2:
resolved "https://registry.yarnpkg.com/crypt/-/crypt-0.0.2.tgz#88d7ff7ec0dfb86f713dc87bbb42d044d3e6c41b"
integrity sha512-mCxBlsHFYh9C+HVpiEacem8FEBnMXgU9gy4zmNC+SXAZNB/1idgp/aulFJ4FgCi7GPEVbfyng092GqL2k2rmow==
+css-select@^5.1.0:
+ version "5.1.0"
+ resolved "https://registry.yarnpkg.com/css-select/-/css-select-5.1.0.tgz#b8ebd6554c3637ccc76688804ad3f6a6fdaea8a6"
+ integrity sha512-nwoRF1rvRRnnCqqY7updORDsuqKzqYJ28+oSMaJMMgOauh3fvwHqMS7EZpIPqK8GL+g9mKxF1vP/ZjSeNjEVHg==
+ dependencies:
+ boolbase "^1.0.0"
+ css-what "^6.1.0"
+ domhandler "^5.0.2"
+ domutils "^3.0.1"
+ nth-check "^2.0.1"
+
+css-what@^6.1.0:
+ version "6.1.0"
+ resolved "https://registry.yarnpkg.com/css-what/-/css-what-6.1.0.tgz#fb5effcf76f1ddea2c81bdfaa4de44e79bac70f4"
+ integrity sha512-HTUrgRJ7r4dsZKU6GjmpfRK1O76h97Z8MfS1G0FozR+oF2kG6Vfe8JE6zwrkbxigziPHinCJ+gCPjA9EaBDtRw==
+
dayjs@^1.11.7:
version "1.11.10"
resolved "https://registry.yarnpkg.com/dayjs/-/dayjs-1.11.10.tgz#68acea85317a6e164457d6d6947564029a6a16a0"
@@ -1919,6 +2089,36 @@ doctrine@^3.0.0:
dependencies:
esutils "^2.0.2"
+dom-serializer@^2.0.0:
+ version "2.0.0"
+ resolved "https://registry.yarnpkg.com/dom-serializer/-/dom-serializer-2.0.0.tgz#e41b802e1eedf9f6cae183ce5e622d789d7d8e53"
+ integrity sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==
+ dependencies:
+ domelementtype "^2.3.0"
+ domhandler "^5.0.2"
+ entities "^4.2.0"
+
+domelementtype@^2.3.0:
+ version "2.3.0"
+ resolved "https://registry.yarnpkg.com/domelementtype/-/domelementtype-2.3.0.tgz#5c45e8e869952626331d7aab326d01daf65d589d"
+ integrity sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==
+
+domhandler@^5.0.2, domhandler@^5.0.3:
+ version "5.0.3"
+ resolved "https://registry.yarnpkg.com/domhandler/-/domhandler-5.0.3.tgz#cc385f7f751f1d1fc650c21374804254538c7d31"
+ integrity sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==
+ dependencies:
+ domelementtype "^2.3.0"
+
+domutils@^3.0.1:
+ version "3.1.0"
+ resolved "https://registry.yarnpkg.com/domutils/-/domutils-3.1.0.tgz#c47f551278d3dc4b0b1ab8cbb42d751a6f0d824e"
+ integrity sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==
+ dependencies:
+ dom-serializer "^2.0.0"
+ domelementtype "^2.3.0"
+ domhandler "^5.0.3"
+
dotenv@^16.0.3:
version "16.3.1"
resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-16.3.1.tgz#369034de7d7e5b120972693352a3bf112172cc3e"
@@ -1980,6 +2180,11 @@ end-of-stream@^1.1.0, end-of-stream@^1.4.1:
dependencies:
once "^1.4.0"
+entities@^4.2.0:
+ version "4.5.0"
+ resolved "https://registry.yarnpkg.com/entities/-/entities-4.5.0.tgz#5d268ea5e7113ec74c4d033b79ea5a35a488fb48"
+ integrity sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==
+
env-paths@^2.2.0:
version "2.2.1"
resolved "https://registry.yarnpkg.com/env-paths/-/env-paths-2.2.1.tgz#420399d416ce1fbe9bc0a07c62fa68d67fd0f8f2"
@@ -2273,6 +2478,13 @@ expr-eval@^2.0.2:
resolved "https://registry.yarnpkg.com/expr-eval/-/expr-eval-2.0.2.tgz#fa6f044a7b0c93fde830954eb9c5b0f7fbc7e201"
integrity sha512-4EMSHGOPSwAfBiibw3ndnP0AvjDWLsMvGOvWEZ2F96IGk0bIVdjQisOHxReSkE13mHcfbuCiXw+G4y0zv6N8Eg==
+express-ws@^5.0.2:
+ version "5.0.2"
+ resolved "https://registry.yarnpkg.com/express-ws/-/express-ws-5.0.2.tgz#5b02d41b937d05199c6c266d7cc931c823bda8eb"
+ integrity sha512-0uvmuk61O9HXgLhGl3QhNSEtRsQevtmbL94/eILaliEADZBHZOQUAiHFrGPrgsjikohyrmSG5g+sCfASTt0lkQ==
+ dependencies:
+ ws "^7.4.6"
+
express@^4.18.2:
version "4.18.2"
resolved "https://registry.yarnpkg.com/express/-/express-4.18.2.tgz#3fabe08296e930c796c19e3c516979386ba9fd59"
@@ -2315,6 +2527,15 @@ extend@^3.0.2:
resolved "https://registry.yarnpkg.com/extend/-/extend-3.0.2.tgz#f8b1136b4071fbd8eb140aff858b1019ec2915fa"
integrity sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g==
+external-editor@^3.1.0:
+ version "3.1.0"
+ resolved "https://registry.yarnpkg.com/external-editor/-/external-editor-3.1.0.tgz#cb03f740befae03ea4d283caed2741a83f335495"
+ integrity sha512-hMQ4CX1p1izmuLYyZqLMO/qGNw10wSv9QDCPfzXfyFrOaCSSoRfqE1Kf1s5an66J5JZC62NewG+mK49jOCtQew==
+ dependencies:
+ chardet "^0.7.0"
+ iconv-lite "^0.4.24"
+ tmp "^0.0.33"
+
extract-files@^9.0.0:
version "9.0.0"
resolved "https://registry.yarnpkg.com/extract-files/-/extract-files-9.0.0.tgz#8a7744f2437f81f5ed3250ed9f1550de902fe54a"
@@ -2380,6 +2601,13 @@ fecha@^4.2.0:
resolved "https://registry.yarnpkg.com/fecha/-/fecha-4.2.3.tgz#4d9ccdbc61e8629b259fdca67e65891448d569fd"
integrity sha512-OP2IUU6HeYKJi3i0z4A19kHMQoLVs4Hc+DPqqxI2h/DPZHTm/vjsfC6P0b4jCMy14XizLBqvndQ+UilD7707Jw==
+figures@^3.2.0:
+ version "3.2.0"
+ resolved "https://registry.yarnpkg.com/figures/-/figures-3.2.0.tgz#625c18bd293c604dc4a8ddb2febf0c88341746af"
+ integrity sha512-yaduQFRKLXYOGgEn6AZau90j3ggSOyiqXU0F9JZfeXYhNa+Jk4X+s45A2zg5jns87GAFa34BBm2kXw4XpNcbdg==
+ dependencies:
+ escape-string-regexp "^1.0.5"
+
file-entry-cache@^6.0.1:
version "6.0.1"
resolved "https://registry.yarnpkg.com/file-entry-cache/-/file-entry-cache-6.0.1.tgz#211b2dd9659cb0394b073e7323ac3c933d522027"
@@ -2868,6 +3096,11 @@ hasown@^2.0.0:
dependencies:
function-bind "^1.1.2"
+he@1.2.0:
+ version "1.2.0"
+ resolved "https://registry.yarnpkg.com/he/-/he-1.2.0.tgz#84ae65fa7eafb165fddb61566ae14baf05664f0f"
+ integrity sha512-F/1DnUGPopORZi0ni+CvrCgHQ5FyEAHRLSApuYWMmrbSwoN2Mn/7k+Gl38gJnR7yyDZk6WLXwiGod1JOWNDKGw==
+
hermes-eslint@^0.15.0:
version "0.15.1"
resolved "https://registry.yarnpkg.com/hermes-eslint/-/hermes-eslint-0.15.1.tgz#c5919a6fdbd151febc3d5ed8ff17e5433913528c"
@@ -2950,7 +3183,7 @@ humanize-ms@^1.2.1:
dependencies:
ms "^2.0.0"
-iconv-lite@0.4.24:
+iconv-lite@0.4.24, iconv-lite@^0.4.24:
version "0.4.24"
resolved "https://registry.yarnpkg.com/iconv-lite/-/iconv-lite-0.4.24.tgz#2022b4b25fbddc21d2f524974a474aafe733908b"
integrity sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA==
@@ -3928,6 +4161,11 @@ multer@^1.4.5-lts.1:
type-is "^1.6.4"
xtend "^4.0.0"
+mute-stream@^1.0.0:
+ version "1.0.0"
+ resolved "https://registry.yarnpkg.com/mute-stream/-/mute-stream-1.0.0.tgz#e31bd9fe62f0aed23520aa4324ea6671531e013e"
+ integrity sha512-avsJQhyd+680gKXyG/sQc0nXaC6rBkPOfyHYcFb9+hdkqQkR9bdnkJ0AMZhke0oesPqIO+mFFJ+IdBc7mst4IA==
+
napi-build-utils@^1.0.1:
version "1.0.2"
resolved "https://registry.yarnpkg.com/napi-build-utils/-/napi-build-utils-1.0.2.tgz#b1fddc0b2c46e380a0b7a76f984dd47c41a13806"
@@ -4008,6 +4246,21 @@ node-gyp@8.x:
tar "^6.1.2"
which "^2.0.2"
+node-html-markdown@^1.3.0:
+ version "1.3.0"
+ resolved "https://registry.yarnpkg.com/node-html-markdown/-/node-html-markdown-1.3.0.tgz#ef0b19a3bbfc0f1a880abb9ff2a0c9aa6bbff2a9"
+ integrity sha512-OeFi3QwC/cPjvVKZ114tzzu+YoR+v9UXW5RwSXGUqGb0qCl0DvP406tzdL7SFn8pZrMyzXoisfG2zcuF9+zw4g==
+ dependencies:
+ node-html-parser "^6.1.1"
+
+node-html-parser@^6.1.1:
+ version "6.1.13"
+ resolved "https://registry.yarnpkg.com/node-html-parser/-/node-html-parser-6.1.13.tgz#a1df799b83df5c6743fcd92740ba14682083b7e4"
+ integrity sha512-qIsTMOY4C/dAa5Q5vsobRpOOvPfC4pB61UVW2uSwZNUp0QU/jCekTal1vMmbO0DgdHeLUJpv/ARmDqErVxA3Sg==
+ dependencies:
+ css-select "^5.1.0"
+ he "1.2.0"
+
node-llama-cpp@^2.8.0:
version "2.8.0"
resolved "https://registry.yarnpkg.com/node-llama-cpp/-/node-llama-cpp-2.8.0.tgz#c01e469761caa4b9c51dbcf7555260caf7fb7bd6"
@@ -4090,6 +4343,13 @@ npmlog@^6.0.0, npmlog@^6.0.2:
gauge "^4.0.3"
set-blocking "^2.0.0"
+nth-check@^2.0.1:
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/nth-check/-/nth-check-2.1.1.tgz#c9eab428effce36cd6b92c924bdb000ef1f1ed1d"
+ integrity sha512-lqjrjmaOoAnWfMmBPL+XNnynZh2+swxiX3WUE0s4yEHI6m+AwrK2UZOimIRl3X/4QctVqS8AiZjFqyOGrMXb/w==
+ dependencies:
+ boolbase "^1.0.0"
+
num-sort@^2.0.0:
version "2.1.0"
resolved "https://registry.yarnpkg.com/num-sort/-/num-sort-2.1.0.tgz#1cbb37aed071329fdf41151258bc011898577a9b"
@@ -4235,6 +4495,20 @@ onnxruntime-web@1.14.0:
onnxruntime-common "~1.14.0"
platform "^1.3.6"
+"openai:latest@npm:openai@latest":
+ version "4.32.1"
+ resolved "https://registry.yarnpkg.com/openai/-/openai-4.32.1.tgz#9e375fdbc727330c5ea5d287beb325db3e6f9ad7"
+ integrity sha512-3e9QyCY47tgOkxBe2CSVKlXOE2lLkMa24Y0s3LYZR40yYjiBU9dtVze+C3mu1TwWDGiRX52STpQAEJZvRNuIrA==
+ dependencies:
+ "@types/node" "^18.11.18"
+ "@types/node-fetch" "^2.6.4"
+ abort-controller "^3.0.0"
+ agentkeepalive "^4.2.1"
+ form-data-encoder "1.7.2"
+ formdata-node "^4.3.2"
+ node-fetch "^2.6.7"
+ web-streams-polyfill "^3.2.1"
+
openai@^3.2.1:
version "3.3.0"
resolved "https://registry.yarnpkg.com/openai/-/openai-3.3.0.tgz#a6408016ad0945738e1febf43f2fccca83a3f532"
@@ -4290,6 +4564,11 @@ ora@^7.0.1:
string-width "^6.1.0"
strip-ansi "^7.1.0"
+os-tmpdir@~1.0.2:
+ version "1.0.2"
+ resolved "https://registry.yarnpkg.com/os-tmpdir/-/os-tmpdir-1.0.2.tgz#bbe67406c79aa85c5cfec766fe5734555dfa1274"
+ integrity sha512-D2FR03Vir7FIu45XBY20mTb+/ZSWB00sjU9jdQXt83gDrI4Ztz5Fs7/yy74g2N5SVQY4xY1qDr4rNddwYRVX0g==
+
p-finally@^1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/p-finally/-/p-finally-1.0.0.tgz#3fbcfb15b899a44123b34b6dcc18b724336a2cae"
@@ -4412,6 +4691,11 @@ platform@^1.3.6:
resolved "https://registry.yarnpkg.com/platform/-/platform-1.3.6.tgz#48b4ce983164b209c2d45a107adb31f473a6e7a7"
integrity sha512-fnWVljUchTro6RiCFvCXBbNhJc2NijN7oIQxbwsyL0buWJPG85v81ehlHI9fXrJsMNgTofEoWIQeClKpgxFLrg==
+pluralize@^8.0.0:
+ version "8.0.0"
+ resolved "https://registry.yarnpkg.com/pluralize/-/pluralize-8.0.0.tgz#1a6fa16a38d12a1901e0320fa017051c539ce3b1"
+ integrity sha512-Nc3IT5yHzflTfbjgqWcCPpo7DaKy4FnpB0l/zCAW0Tc7jxAiuqSxHasntB3D7887LSrA93kDJ9IXovxJYxyLCA==
+
posthog-node@^3.1.1:
version "3.1.1"
resolved "https://registry.yarnpkg.com/posthog-node/-/posthog-node-3.1.1.tgz#f92c44a871552c9bfb98bf4cc8fd326d36af6cbd"
@@ -4931,6 +5215,11 @@ signal-exit@^3.0.0, signal-exit@^3.0.2, signal-exit@^3.0.7:
resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-3.0.7.tgz#a9a1767f8af84155114eaabd73f99273c8f59ad9"
integrity sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ==
+signal-exit@^4.1.0:
+ version "4.1.0"
+ resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
+ integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==
+
simple-concat@^1.0.0:
version "1.0.1"
resolved "https://registry.yarnpkg.com/simple-concat/-/simple-concat-1.0.1.tgz#f46976082ba35c2263f1c8ab5edfe26c41c9552f"
@@ -5271,6 +5560,13 @@ text-table@^0.2.0:
resolved "https://registry.yarnpkg.com/text-table/-/text-table-0.2.0.tgz#7f5ee823ae805207c00af2df4a84ec3fcfa570b4"
integrity sha512-N+8UisAXDGk8PFXP4HAzVR9nbfmVJ3zYLAWiTIoqC5v5isinhr+r5uaO8+7r3BMfuNIufIsA7RdpVgacC2cSpw==
+tmp@^0.0.33:
+ version "0.0.33"
+ resolved "https://registry.yarnpkg.com/tmp/-/tmp-0.0.33.tgz#6d34335889768d21b2bcda0aa277ced3b1bfadf9"
+ integrity sha512-jRCJlojKnZ3addtTOjdIqoRuPEKBvNXcGYqzO6zWZX8KfKEpnGY5jfggJQ3EjKuu8D4bJRr0y+cYJFmYbImXGw==
+ dependencies:
+ os-tmpdir "~1.0.2"
+
to-regex-range@^5.0.1:
version "5.0.1"
resolved "https://registry.yarnpkg.com/to-regex-range/-/to-regex-range-5.0.1.tgz#1648c44aae7c8d988a326018ed72f5b4dd0392e4"
@@ -5334,6 +5630,11 @@ type-fest@^0.20.2:
resolved "https://registry.yarnpkg.com/type-fest/-/type-fest-0.20.2.tgz#1bf207f4b28f91583666cb5fbd327887301cd5f4"
integrity sha512-Ne+eE4r0/iWnpAxD852z3A+N0Bt5RN//NjJwRd2VFHEmrywxf5vsZlh4R6lixl6B+wz/8d+maTSAkN1FIkI3LQ==
+type-fest@^0.21.3:
+ version "0.21.3"
+ resolved "https://registry.yarnpkg.com/type-fest/-/type-fest-0.21.3.tgz#d260a24b0198436e133fa26a524a6d65fa3b2e37"
+ integrity sha512-t0rzBq87m3fVcduHDUFhKmyyX+9eo6WQjZvf51Ea/M0Q7+T374Jp1aUiyUl0GKxp8M/OETVHSDvmkyPgvX+X2w==
+
type-is@^1.6.4, type-is@~1.6.18:
version "1.6.18"
resolved "https://registry.yarnpkg.com/type-is/-/type-is-1.6.18.tgz#4e552cd05df09467dcbc4ef739de89f2cf37c131"
@@ -5675,6 +5976,15 @@ wordwrapjs@^4.0.0:
reduce-flatten "^2.0.0"
typical "^5.2.0"
+wrap-ansi@^6.2.0:
+ version "6.2.0"
+ resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-6.2.0.tgz#e9393ba07102e6c91a3b221478f0257cd2856e53"
+ integrity sha512-r6lPcBGxZXlIcymEu7InxDMhdW0KDxpLgoFLcguasxCaJ/SOIZwINatK9KY/tf+ZrlywOKU0UDj3ATXUBfxJXA==
+ dependencies:
+ ansi-styles "^4.0.0"
+ string-width "^4.1.0"
+ strip-ansi "^6.0.0"
+
wrap-ansi@^7.0.0:
version "7.0.0"
resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
@@ -5689,6 +5999,11 @@ wrappy@1:
resolved "https://registry.yarnpkg.com/wrappy/-/wrappy-1.0.2.tgz#b5243d8f3ec1aa35f1364605bc0d1036e30ab69f"
integrity sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==
+ws@^7.4.6:
+ version "7.5.9"
+ resolved "https://registry.yarnpkg.com/ws/-/ws-7.5.9.tgz#54fa7db29f4c7cec68b1ddd3a89de099942bb591"
+ integrity sha512-F+P9Jil7UiSKSkppIiD94dN07AwvFixvLIj1Og1Rl9GGMuNipJnV9JzjD6XuqmAeiswGvUmNLjr5cFuXwNS77Q==
+
xtend@^4.0.0:
version "4.0.2"
resolved "https://registry.yarnpkg.com/xtend/-/xtend-4.0.2.tgz#bb72779f5fa465186b1f438f674fa347fdb5db54"
+
+
+
+ + The specific LLM provider & model that will be used for this + workspace's @agent agent. +
+
+
+ {searchMenuOpen && (
+
+ );
+}
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/AgentModelSelection/index.jsx b/frontend/src/pages/WorkspaceSettings/AgentConfig/AgentModelSelection/index.jsx
new file mode 100644
index 000000000..60a6e940a
--- /dev/null
+++ b/frontend/src/pages/WorkspaceSettings/AgentConfig/AgentModelSelection/index.jsx
@@ -0,0 +1,112 @@
+import useGetProviderModels, {
+ DISABLED_PROVIDERS,
+} from "@/hooks/useGetProvidersModels";
+
+export default function AgentModelSelection({
+ provider,
+ workspace,
+ setHasChanges,
+}) {
+ const { defaultModels, customModels, loading } =
+ useGetProviderModels(provider);
+ if (DISABLED_PROVIDERS.includes(provider)) return null;
+
+ if (loading) {
+ return (
+ setSearchMenuOpen(false)}
+ />
+ )}
+ {searchMenuOpen ? (
+
+ {selectedLLM !== "none" && (
+
+
+ ) : (
+
+ )}
+
+
+
+
+
+ {filteredLLMs.map((llm) => {
+ return (
+ updateLLMChoice(llm.value)}
+ />
+ );
+ })}
+
+
+
+ )}
+
+
+ );
+ }
+
+ return (
+
+
+
+
+ + The specific chat model that will be used for this workspace's + @agent agent. +
+
+
+ );
+}
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/GenericSkill/index.jsx b/frontend/src/pages/WorkspaceSettings/AgentConfig/GenericSkill/index.jsx
new file mode 100644
index 000000000..6b100bdd2
--- /dev/null
+++ b/frontend/src/pages/WorkspaceSettings/AgentConfig/GenericSkill/index.jsx
@@ -0,0 +1,39 @@
+import React from "react";
+export default function GenericSkill({
+ title,
+ description,
+ skill,
+ toggleSkill,
+ enabled = false,
+ disabled = false,
+}) {
+ return (
+
+
+
+
+
+ + The specific LLM model that will be used for this workspace's @agent + agent. +
+
+
+ );
+}
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/SearchProviderItem/index.jsx b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/SearchProviderItem/index.jsx
new file mode 100644
index 000000000..42e7b04be
--- /dev/null
+++ b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/SearchProviderItem/index.jsx
@@ -0,0 +1,27 @@
+export default function SearchProviderItem({ provider, checked, onClick }) {
+ const { name, value, logo, description } = provider;
+ return (
+
+
+
+
+
+
+ + {description} +
+
+
+
+ );
+}
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/SearchProviderOptions/index.jsx b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/SearchProviderOptions/index.jsx
new file mode 100644
index 000000000..15d18178f
--- /dev/null
+++ b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/SearchProviderOptions/index.jsx
@@ -0,0 +1,84 @@
+export function GoogleSearchOptions({ settings }) {
+ return (
+ <>
+
+
+
+
+
+ {name}
+ {description}
+ + You can get a free search engine & API key{" "} + + from Google here. + +
+
+
+
+ );
+}
+
+export function SerperDotDevOptions({ settings }) {
+ return (
+ <>
+
+
+
+
+
+
+
+
+ + You can get a free API key{" "} + + from Serper.dev. + +
+
+
+
+ );
+}
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/icons/google.png b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/icons/google.png
new file mode 100644
index 000000000..58a831856
Binary files /dev/null and b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/icons/google.png differ
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/icons/serper.png b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/icons/serper.png
new file mode 100644
index 000000000..9659e1d64
Binary files /dev/null and b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/icons/serper.png differ
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/index.jsx b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/index.jsx
new file mode 100644
index 000000000..0581983fa
--- /dev/null
+++ b/frontend/src/pages/WorkspaceSettings/AgentConfig/WebSearchSelection/index.jsx
@@ -0,0 +1,194 @@
+import React, { useEffect, useRef, useState } from "react";
+import AnythingLLMIcon from "@/media/logo/anything-llm-icon.png";
+import GoogleSearchIcon from "./icons/google.png";
+import SerperDotDevIcon from "./icons/serper.png";
+import { CaretUpDown, MagnifyingGlass, X } from "@phosphor-icons/react";
+import SearchProviderItem from "./SearchProviderItem";
+import {
+ SerperDotDevOptions,
+ GoogleSearchOptions,
+} from "./SearchProviderOptions";
+
+const SEARCH_PROVIDERS = [
+ {
+ name: "Please make a selection",
+ value: "none",
+ logo: AnythingLLMIcon,
+ options: () =>
+
+
+
+
+
+
+
+
+
+
+
+ Enable your agent to search the web to answer your questions by
+ connecting to a web-search (SERP) provider.
+
+ Web search during agent sessions will not work until this is set up.
+
+
+ );
+}
diff --git a/frontend/src/pages/WorkspaceSettings/AgentConfig/index.jsx b/frontend/src/pages/WorkspaceSettings/AgentConfig/index.jsx
new file mode 100644
index 000000000..562c40fc1
--- /dev/null
+++ b/frontend/src/pages/WorkspaceSettings/AgentConfig/index.jsx
@@ -0,0 +1,203 @@
+import System from "@/models/system";
+import Workspace from "@/models/workspace";
+import showToast from "@/utils/toast";
+import { castToType } from "@/utils/types";
+import { useEffect, useRef, useState } from "react";
+import AgentLLMSelection from "./AgentLLMSelection";
+import AgentWebSearchSelection from "./WebSearchSelection";
+import GenericSkill from "./GenericSkill";
+import Admin from "@/models/admin";
+import * as Skeleton from "react-loading-skeleton";
+import "react-loading-skeleton/dist/skeleton.css";
+
+export default function WorkspaceAgentConfiguration({ workspace }) {
+ const [settings, setSettings] = useState({});
+ const [hasChanges, setHasChanges] = useState(false);
+ const [saving, setSaving] = useState(false);
+ const [loading, setLoading] = useState(true);
+ const [agentSkills, setAgentSkills] = useState([]);
+
+ const formEl = useRef(null);
+ useEffect(() => {
+ async function fetchSettings() {
+ const _settings = await System.keys();
+ const _preferences = await Admin.systemPreferences();
+ setSettings({ ..._settings, preferences: _preferences.settings } ?? {});
+ setAgentSkills(_preferences.settings?.default_agent_skills ?? []);
+ setLoading(false);
+ }
+ fetchSettings();
+ }, []);
+
+ const handleUpdate = async (e) => {
+ setSaving(true);
+ e.preventDefault();
+ const data = {
+ workspace: {},
+ system: {},
+ env: {},
+ };
+
+ const form = new FormData(formEl.current);
+ for (var [key, value] of form.entries()) {
+ if (key.startsWith("system::")) {
+ const [_, label] = key.split("system::");
+ data.system[label] = String(value);
+ continue;
+ }
+
+ if (key.startsWith("env::")) {
+ const [_, label] = key.split("env::");
+ data.env[label] = String(value);
+ continue;
+ }
+
+ data.workspace[key] = castToType(key, value);
+ }
+
+ const { workspace: updatedWorkspace, message } = await Workspace.update(
+ workspace.slug,
+ data.workspace
+ );
+ await Admin.updateSystemPreferences(data.system);
+ await System.updateSystem(data.env);
+
+ if (!!updatedWorkspace) {
+ showToast("Workspace updated!", "success", { clear: true });
+ } else {
+ showToast(`Error: ${message}`, "error", { clear: true });
+ }
+
+ setSaving(false);
+ setHasChanges(false);
+ };
+
+ function toggleAgentSkill(skillName = "") {
+ setAgentSkills((prev) => {
+ return prev.includes(skillName)
+ ? prev.filter((name) => name !== skillName)
+ : [...prev, skillName];
+ });
+ }
+
+ if (!workspace || loading) return
+
+ {searchMenuOpen && (
+
+ setSearchMenuOpen(false)}
+ />
+ )}
+ {searchMenuOpen ? (
+
+ {selectedProvider !== "none" && (
+
+
+ ) : (
+
+ )}
+
+
+
+
+
+ {filteredResults.map((provider) => {
+ return (
+ updateChoice(provider.value)}
+ />
+ );
+ })}
+
+
+ {selectedSearchProviderObject.options(settings)}
+
+ )}
+
+
+
+ );
+
+ function LoadingSkeleton() {
+ return (
+
+
+ );
+ }
+
+ function AvailableAgentSkills({ skills, settings, toggleAgentSkill }) {
+ return (
+
+
+
+
+ );
+ }
+}
diff --git a/frontend/src/pages/WorkspaceSettings/index.jsx b/frontend/src/pages/WorkspaceSettings/index.jsx
index d43530018..7c53dc40f 100644
--- a/frontend/src/pages/WorkspaceSettings/index.jsx
+++ b/frontend/src/pages/WorkspaceSettings/index.jsx
@@ -9,6 +9,7 @@ import {
ArrowUUpLeft,
ChatText,
Database,
+ Robot,
User,
Wrench,
} from "@phosphor-icons/react";
@@ -19,6 +20,7 @@ import GeneralAppearance from "./GeneralAppearance";
import ChatSettings from "./ChatSettings";
import VectorDatabase from "./VectorDatabase";
import Members from "./Members";
+import WorkspaceAgentConfiguration from "./AgentConfig";
import useUser from "@/hooks/useUser";
const TABS = {
@@ -26,6 +28,7 @@ const TABS = {
"chat-settings": ChatSettings,
"vector-database": VectorDatabase,
members: Members,
+ "agent-config": WorkspaceAgentConfiguration,
};
export default function WorkspaceSettings() {
@@ -102,6 +105,11 @@ function ShowWorkspaceChat() {
to={paths.workspace.settings.members(slug)}
visible={["admin", "manager"].includes(user?.role)}
/>
+
+
+
+
+
+
+ + Improve the natural abilities of the default agent with these + pre-built skills. This set up applies to all workspaces. +
+
+
+