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index.ts
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import bodyParser from "body-parser";
import cors from "cors";
import express, { Request as ExpressRequest } from "express";
import multer from "multer";
import {
elizaLogger,
generateCaption,
generateImage,
Media,
getEmbeddingZeroVector
} from "@elizaos/core";
import { composeContext } from "@elizaos/core";
import { generateMessageResponse } from "@elizaos/core";
import { messageCompletionFooter } from "@elizaos/core";
import { AgentRuntime } from "@elizaos/core";
import {
Content,
Memory,
ModelClass,
Client,
IAgentRuntime,
} from "@elizaos/core";
import { stringToUuid } from "@elizaos/core";
import { settings } from "@elizaos/core";
import { createApiRouter } from "./api.ts";
import * as fs from "fs";
import * as path from "path";
const storage = multer.diskStorage({
destination: (req, file, cb) => {
const uploadDir = path.join(process.cwd(), "data", "uploads");
// Create the directory if it doesn't exist
if (!fs.existsSync(uploadDir)) {
fs.mkdirSync(uploadDir, { recursive: true });
}
cb(null, uploadDir);
},
filename: (req, file, cb) => {
const uniqueSuffix = `${Date.now()}-${Math.round(Math.random() * 1e9)}`;
cb(null, `${uniqueSuffix}-${file.originalname}`);
},
});
const upload = multer({ storage });
export const messageHandlerTemplate =
// {{goals}}
`# Action Examples
{{actionExamples}}
(Action examples are for reference only. Do not use the information from them in your response.)
# Knowledge
{{knowledge}}
# Task: Generate dialog and actions for the character {{agentName}}.
About {{agentName}}:
{{bio}}
{{lore}}
{{providers}}
{{attachments}}
# Capabilities
Note that {{agentName}} is capable of reading/seeing/hearing various forms of media, including images, videos, audio, plaintext and PDFs. Recent attachments have been included above under the "Attachments" section.
{{messageDirections}}
{{recentMessages}}
{{actions}}
# Instructions: Write the next message for {{agentName}}.
` + messageCompletionFooter;
export class DirectClient {
public app: express.Application;
private agents: Map<string, AgentRuntime>; // container management
private server: any; // Store server instance
public startAgent: Function; // Store startAgent functor
constructor() {
elizaLogger.log("DirectClient constructor");
this.app = express();
this.app.use(cors());
this.agents = new Map();
this.app.use(bodyParser.json());
this.app.use(bodyParser.urlencoded({ extended: true }));
// Serve both uploads and generated images
this.app.use(
"/media/uploads",
express.static(path.join(process.cwd(), "/data/uploads"))
);
this.app.use(
"/media/generated",
express.static(path.join(process.cwd(), "/generatedImages"))
);
const apiRouter = createApiRouter(this.agents, this);
this.app.use(apiRouter);
// Define an interface that extends the Express Request interface
interface CustomRequest extends ExpressRequest {
file?: Express.Multer.File;
}
// Update the route handler to use CustomRequest instead of express.Request
this.app.post(
"/:agentId/whisper",
upload.single("file"),
async (req: CustomRequest, res: express.Response) => {
const audioFile = req.file; // Access the uploaded file using req.file
const agentId = req.params.agentId;
if (!audioFile) {
res.status(400).send("No audio file provided");
return;
}
let runtime = this.agents.get(agentId);
// if runtime is null, look for runtime with the same name
if (!runtime) {
runtime = Array.from(this.agents.values()).find(
(a) =>
a.character.name.toLowerCase() ===
agentId.toLowerCase()
);
}
if (!runtime) {
res.status(404).send("Agent not found");
return;
}
const formData = new FormData();
const audioBlob = new Blob([audioFile.buffer], {
type: audioFile.mimetype,
});
formData.append("file", audioBlob, audioFile.originalname);
formData.append("model", "whisper-1");
const response = await fetch(
"https://api.openai.com/v1/audio/transcriptions",
{
method: "POST",
headers: {
Authorization: `Bearer ${runtime.token}`,
},
body: formData,
}
);
const data = await response.json();
res.json(data);
}
);
this.app.post(
"/:agentId/message",
upload.single("file"),
async (req: express.Request, res: express.Response) => {
const agentId = req.params.agentId;
const roomId = stringToUuid(
req.body.roomId ?? "default-room-" + agentId
);
const userId = stringToUuid(req.body.userId ?? "user");
let runtime = this.agents.get(agentId);
// if runtime is null, look for runtime with the same name
if (!runtime) {
runtime = Array.from(this.agents.values()).find(
(a) =>
a.character.name.toLowerCase() ===
agentId.toLowerCase()
);
}
if (!runtime) {
res.status(404).send("Agent not found");
return;
}
await runtime.ensureConnection(
userId,
roomId,
req.body.userName,
req.body.name,
"direct"
);
const text = req.body.text;
const messageId = stringToUuid(Date.now().toString());
const attachments: Media[] = [];
if (req.file) {
const filePath = path.join(
process.cwd(),
"agent",
"data",
"uploads",
req.file.filename
);
attachments.push({
id: Date.now().toString(),
url: filePath,
title: req.file.originalname,
source: "direct",
description: `Uploaded file: ${req.file.originalname}`,
text: "",
contentType: req.file.mimetype,
});
}
const content: Content = {
text,
attachments,
source: "direct",
inReplyTo: undefined,
};
const userMessage = {
content,
userId,
roomId,
agentId: runtime.agentId,
};
const memory: Memory = {
id: stringToUuid(messageId + "-" + userId),
...userMessage,
agentId: runtime.agentId,
userId,
roomId,
content,
createdAt: Date.now(),
};
await runtime.messageManager.addEmbeddingToMemory(memory);
await runtime.messageManager.createMemory(memory);
let state = await runtime.composeState(userMessage, {
agentName: runtime.character.name,
});
const context = composeContext({
state,
template: messageHandlerTemplate,
});
const response = await generateMessageResponse({
runtime: runtime,
context,
modelClass: ModelClass.LARGE,
});
if (!response) {
res.status(500).send(
"No response from generateMessageResponse"
);
return;
}
// save response to memory
const responseMessage: Memory = {
id: stringToUuid(messageId + "-" + runtime.agentId),
...userMessage,
userId: runtime.agentId,
content: response,
embedding: getEmbeddingZeroVector(),
createdAt: Date.now(),
};
await runtime.messageManager.createMemory(responseMessage);
state = await runtime.updateRecentMessageState(state);
let message = null as Content | null;
await runtime.processActions(
memory,
[responseMessage],
state,
async (newMessages) => {
message = newMessages;
return [memory];
}
);
await runtime.evaluate(memory, state);
// Check if we should suppress the initial message
const action = runtime.actions.find(
(a) => a.name === response.action
);
const shouldSuppressInitialMessage =
action?.suppressInitialMessage;
if (!shouldSuppressInitialMessage) {
if (message) {
res.json([response, message]);
} else {
res.json([response]);
}
} else {
if (message) {
res.json([message]);
} else {
res.json([]);
}
}
}
);
this.app.post(
"/:agentId/image",
async (req: express.Request, res: express.Response) => {
const agentId = req.params.agentId;
const agent = this.agents.get(agentId);
if (!agent) {
res.status(404).send("Agent not found");
return;
}
const images = await generateImage({ ...req.body }, agent);
const imagesRes: { image: string; caption: string }[] = [];
if (images.data && images.data.length > 0) {
for (let i = 0; i < images.data.length; i++) {
const caption = await generateCaption(
{ imageUrl: images.data[i] },
agent
);
imagesRes.push({
image: images.data[i],
caption: caption.title,
});
}
}
res.json({ images: imagesRes });
}
);
this.app.post(
"/fine-tune",
async (req: express.Request, res: express.Response) => {
try {
const response = await fetch(
"https://api.bageldb.ai/api/v1/asset",
{
method: "POST",
headers: {
"Content-Type": "application/json",
"X-API-KEY": `${process.env.BAGEL_API_KEY}`,
},
body: JSON.stringify(req.body),
}
);
const data = await response.json();
res.json(data);
} catch (error) {
res.status(500).json({
error: "Please create an account at bakery.bagel.net and get an API key. Then set the BAGEL_API_KEY environment variable.",
details: error.message,
});
}
}
);
this.app.get(
"/fine-tune/:assetId",
async (req: express.Request, res: express.Response) => {
const assetId = req.params.assetId;
const downloadDir = path.join(
process.cwd(),
"downloads",
assetId
);
console.log("Download directory:", downloadDir);
try {
console.log("Creating directory...");
await fs.promises.mkdir(downloadDir, { recursive: true });
console.log("Fetching file...");
const fileResponse = await fetch(
`https://api.bageldb.ai/api/v1/asset/${assetId}/download`,
{
headers: {
"X-API-KEY": `${process.env.BAGEL_API_KEY}`,
},
}
);
if (!fileResponse.ok) {
throw new Error(
`API responded with status ${fileResponse.status}: ${await fileResponse.text()}`
);
}
console.log("Response headers:", fileResponse.headers);
const fileName =
fileResponse.headers
.get("content-disposition")
?.split("filename=")[1]
?.replace(/"/g, /* " */ "") || "default_name.txt";
console.log("Saving as:", fileName);
const arrayBuffer = await fileResponse.arrayBuffer();
const buffer = Buffer.from(arrayBuffer);
const filePath = path.join(downloadDir, fileName);
console.log("Full file path:", filePath);
await fs.promises.writeFile(filePath, buffer);
// Verify file was written
const stats = await fs.promises.stat(filePath);
console.log(
"File written successfully. Size:",
stats.size,
"bytes"
);
res.json({
success: true,
message: "Single file downloaded successfully",
downloadPath: downloadDir,
fileCount: 1,
fileName: fileName,
fileSize: stats.size,
});
} catch (error) {
console.error("Detailed error:", error);
res.status(500).json({
error: "Failed to download files from BagelDB",
details: error.message,
stack: error.stack,
});
}
}
);
this.app.post("/:agentId/speak", async (req, res) => {
const agentId = req.params.agentId;
const roomId = stringToUuid(req.body.roomId ?? "default-room-" + agentId);
const userId = stringToUuid(req.body.userId ?? "user");
const text = req.body.text;
if (!text) {
res.status(400).send("No text provided");
return;
}
let runtime = this.agents.get(agentId);
// if runtime is null, look for runtime with the same name
if (!runtime) {
runtime = Array.from(this.agents.values()).find(
(a) => a.character.name.toLowerCase() === agentId.toLowerCase()
);
}
if (!runtime) {
res.status(404).send("Agent not found");
return;
}
try {
// Process message through agent (same as /message endpoint)
await runtime.ensureConnection(
userId,
roomId,
req.body.userName,
req.body.name,
"direct"
);
const messageId = stringToUuid(Date.now().toString());
const content: Content = {
text,
attachments: [],
source: "direct",
inReplyTo: undefined,
};
const userMessage = {
content,
userId,
roomId,
agentId: runtime.agentId,
};
const memory: Memory = {
id: messageId,
agentId: runtime.agentId,
userId,
roomId,
content,
createdAt: Date.now(),
};
await runtime.messageManager.createMemory(memory);
const state = await runtime.composeState(userMessage, {
agentName: runtime.character.name,
});
const context = composeContext({
state,
template: messageHandlerTemplate,
});
const response = await generateMessageResponse({
runtime: runtime,
context,
modelClass: ModelClass.LARGE,
});
// save response to memory
const responseMessage = {
...userMessage,
userId: runtime.agentId,
content: response,
};
await runtime.messageManager.createMemory(responseMessage);
if (!response) {
res.status(500).send("No response from generateMessageResponse");
return;
}
let message = null as Content | null;
await runtime.evaluate(memory, state);
const _result = await runtime.processActions(
memory,
[responseMessage],
state,
async (newMessages) => {
message = newMessages;
return [memory];
}
);
// Get the text to convert to speech
const textToSpeak = response.text;
// Convert to speech using ElevenLabs
const elevenLabsApiUrl = `https://api.elevenlabs.io/v1/text-to-speech/${process.env.ELEVENLABS_VOICE_ID}`;
const apiKey = process.env.ELEVENLABS_XI_API_KEY;
if (!apiKey) {
throw new Error("ELEVENLABS_XI_API_KEY not configured");
}
const speechResponse = await fetch(elevenLabsApiUrl, {
method: "POST",
headers: {
"Content-Type": "application/json",
"xi-api-key": apiKey,
},
body: JSON.stringify({
text: textToSpeak,
model_id: process.env.ELEVENLABS_MODEL_ID || "eleven_multilingual_v2",
voice_settings: {
stability: parseFloat(process.env.ELEVENLABS_VOICE_STABILITY || "0.5"),
similarity_boost: parseFloat(process.env.ELEVENLABS_VOICE_SIMILARITY_BOOST || "0.9"),
style: parseFloat(process.env.ELEVENLABS_VOICE_STYLE || "0.66"),
use_speaker_boost: process.env.ELEVENLABS_VOICE_USE_SPEAKER_BOOST === "true",
},
}),
});
if (!speechResponse.ok) {
throw new Error(`ElevenLabs API error: ${speechResponse.statusText}`);
}
const audioBuffer = await speechResponse.arrayBuffer();
// Set appropriate headers for audio streaming
res.set({
'Content-Type': 'audio/mpeg',
'Transfer-Encoding': 'chunked'
});
res.send(Buffer.from(audioBuffer));
} catch (error) {
console.error("Error processing message or generating speech:", error);
res.status(500).json({
error: "Error processing message or generating speech",
details: error.message
});
}
});
}
// agent/src/index.ts:startAgent calls this
public registerAgent(runtime: AgentRuntime) {
this.agents.set(runtime.agentId, runtime);
}
public unregisterAgent(runtime: AgentRuntime) {
this.agents.delete(runtime.agentId);
}
public start(port: number) {
this.server = this.app.listen(port, () => {
elizaLogger.success(
`REST API bound to 0.0.0.0:${port}. If running locally, access it at http://localhost:${port}.`
);
});
// Handle graceful shutdown
const gracefulShutdown = () => {
elizaLogger.log("Received shutdown signal, closing server...");
this.server.close(() => {
elizaLogger.success("Server closed successfully");
process.exit(0);
});
// Force close after 5 seconds if server hasn't closed
setTimeout(() => {
elizaLogger.error(
"Could not close connections in time, forcefully shutting down"
);
process.exit(1);
}, 5000);
};
// Handle different shutdown signals
process.on("SIGTERM", gracefulShutdown);
process.on("SIGINT", gracefulShutdown);
}
public stop() {
if (this.server) {
this.server.close(() => {
elizaLogger.success("Server stopped");
});
}
}
}
export const DirectClientInterface: Client = {
start: async (_runtime: IAgentRuntime) => {
elizaLogger.log("DirectClientInterface start");
const client = new DirectClient();
const serverPort = parseInt(settings.SERVER_PORT || "3000");
client.start(serverPort);
return client;
},
stop: async (_runtime: IAgentRuntime, client?: Client) => {
if (client instanceof DirectClient) {
client.stop();
}
},
};
export default DirectClientInterface;