mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-11 01:10:11 +01:00
1b4559f57f
* add LMStudio agent support (generic) support "work" with non-tool callable LLMs, highly dependent on system specs * add comments * enable few-shot prompting per function for OSS models
221 lines
6.0 KiB
JavaScript
221 lines
6.0 KiB
JavaScript
const AIbitat = require("./aibitat");
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const AgentPlugins = require("./aibitat/plugins");
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const {
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WorkspaceAgentInvocation,
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} = require("../../models/workspaceAgentInvocation");
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const { WorkspaceChats } = require("../../models/workspaceChats");
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const { safeJsonParse } = require("../http");
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const { USER_AGENT, WORKSPACE_AGENT } = require("./defaults");
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class AgentHandler {
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#invocationUUID;
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#funcsToLoad = [];
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invocation = null;
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aibitat = null;
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channel = null;
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provider = null;
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model = null;
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constructor({ uuid }) {
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this.#invocationUUID = uuid;
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}
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log(text, ...args) {
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console.log(`\x1b[36m[AgentHandler]\x1b[0m ${text}`, ...args);
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}
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closeAlert() {
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this.log(`End ${this.#invocationUUID}::${this.provider}:${this.model}`);
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}
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async #chatHistory(limit = 10) {
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try {
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const rawHistory = (
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await WorkspaceChats.where(
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{
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workspaceId: this.invocation.workspace_id,
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user_id: this.invocation.user_id || null,
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thread_id: this.invocation.user_id || null,
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include: true,
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},
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limit,
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{ id: "desc" }
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)
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).reverse();
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const agentHistory = [];
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rawHistory.forEach((chatLog) => {
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agentHistory.push(
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{
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from: USER_AGENT.name,
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to: WORKSPACE_AGENT.name,
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content: chatLog.prompt,
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state: "success",
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},
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{
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from: WORKSPACE_AGENT.name,
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to: USER_AGENT.name,
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content: safeJsonParse(chatLog.response)?.text || "",
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state: "success",
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}
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);
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});
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return agentHistory;
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} catch (e) {
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this.log("Error loading chat history", e.message);
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return [];
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}
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}
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#checkSetup() {
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switch (this.provider) {
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case "openai":
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if (!process.env.OPEN_AI_KEY)
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throw new Error("OpenAI API key must be provided to use agents.");
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break;
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case "anthropic":
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if (!process.env.ANTHROPIC_API_KEY)
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throw new Error("Anthropic API key must be provided to use agents.");
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break;
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case "lmstudio":
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if (!process.env.LMSTUDIO_BASE_PATH)
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throw new Error("LMStudio bash path must be provided to use agents.");
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break;
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default:
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throw new Error("No provider found to power agent cluster.");
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}
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}
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#providerDefault() {
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switch (this.provider) {
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case "openai":
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return "gpt-3.5-turbo";
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case "anthropic":
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return "claude-3-sonnet-20240229";
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case "lmstudio":
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return "server-default";
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default:
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return "unknown";
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}
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}
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#providerSetupAndCheck() {
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this.provider = this.invocation.workspace.agentProvider || "openai";
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this.model =
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this.invocation.workspace.agentModel || this.#providerDefault();
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this.log(`Start ${this.#invocationUUID}::${this.provider}:${this.model}`);
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this.#checkSetup();
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}
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async #validInvocation() {
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const invocation = await WorkspaceAgentInvocation.getWithWorkspace({
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uuid: String(this.#invocationUUID),
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});
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if (invocation?.closed)
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throw new Error("This agent invocation is already closed");
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this.invocation = invocation ?? null;
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}
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#attachPlugins(args) {
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for (const name of this.#funcsToLoad) {
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if (!AgentPlugins.hasOwnProperty(name)) {
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this.log(
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`${name} is not a valid plugin. Skipping inclusion to agent cluster.`
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);
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continue;
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}
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const callOpts = {};
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for (const [param, definition] of Object.entries(
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AgentPlugins[name].startupConfig.params
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)) {
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if (
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definition.required &&
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(!args.hasOwnProperty(param) || args[param] === null)
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) {
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this.log(
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`'${param}' required parameter for '${name}' plugin is missing. Plugin may not function or crash agent.`
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);
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continue;
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}
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callOpts[param] = args.hasOwnProperty(param)
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? args[param]
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: definition.default || null;
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}
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const AIbitatPlugin = AgentPlugins[name];
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this.aibitat.use(AIbitatPlugin.plugin(callOpts));
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this.log(`Attached ${name} plugin to Agent cluster`);
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}
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}
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async #loadAgents() {
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// Default User agent and workspace agent
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this.log(`Attaching user and default agent to Agent cluster.`);
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this.aibitat.agent(USER_AGENT.name, await USER_AGENT.getDefinition());
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this.aibitat.agent(
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WORKSPACE_AGENT.name,
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await WORKSPACE_AGENT.getDefinition(this.provider)
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);
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this.#funcsToLoad = [
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...((await USER_AGENT.getDefinition())?.functions || []),
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...((await WORKSPACE_AGENT.getDefinition())?.functions || []),
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];
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}
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async init() {
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await this.#validInvocation();
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this.#providerSetupAndCheck();
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return this;
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}
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async createAIbitat(
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args = {
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socket,
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}
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) {
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this.aibitat = new AIbitat({
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provider: this.provider ?? "openai",
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model: this.model ?? "gpt-3.5-turbo",
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chats: await this.#chatHistory(20),
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handlerProps: {
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invocation: this.invocation,
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log: this.log,
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},
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});
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// Attach standard websocket plugin for frontend communication.
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this.log(`Attached ${AgentPlugins.websocket.name} plugin to Agent cluster`);
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this.aibitat.use(
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AgentPlugins.websocket.plugin({
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socket: args.socket,
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muteUserReply: true,
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introspection: true,
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})
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);
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// Attach standard chat-history plugin for message storage.
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this.log(
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`Attached ${AgentPlugins.chatHistory.name} plugin to Agent cluster`
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);
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this.aibitat.use(AgentPlugins.chatHistory.plugin());
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// Load required agents (Default + custom)
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await this.#loadAgents();
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// Attach all required plugins for functions to operate.
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this.#attachPlugins(args);
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}
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startAgentCluster() {
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return this.aibitat.start({
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from: USER_AGENT.name,
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to: this.channel ?? WORKSPACE_AGENT.name,
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content: this.invocation.prompt,
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});
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}
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}
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module.exports.AgentHandler = AgentHandler;
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