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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, { File } from "multer";
import { elizaLogger, generateCaption, generateImage } from "@ai16z/eliza";
import { composeContext } from "@ai16z/eliza";
import { generateMessageResponse } from "@ai16z/eliza";
import { messageCompletionFooter } from "@ai16z/eliza";
import { AgentRuntime } from "@ai16z/eliza";
import {
Content,
Memory,
ModelClass,
Client,
IAgentRuntime,
} from "@ai16z/eliza";
import { stringToUuid } from "@ai16z/eliza";
import { settings } from "@ai16z/eliza";
const upload = multer({ storage: multer.memoryStorage() });
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 interface SimliClientConfig {
apiKey: string;
faceID: string;
handleSilence: boolean;
videoRef: any;
audioRef: any;
}
export class DirectClient {
private app: express.Application;
private agents: Map<string, AgentRuntime>;
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 }));
// Define an interface that extends the Express Request interface
interface CustomRequest extends ExpressRequest {
file: 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",
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 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.SMALL,
});
// 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];
}
);
if (message) {
res.json([message, response]);
} else {
res.json([response]);
}
}
);
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: 'Failed to forward request to BagelDB',
details: error.message
});
}
}
);
this.app.get(
"/fine-tune/:assetId",
async (req: express.Request, res: express.Response) => {
const assetId = req.params.assetId;
try {
const response = await fetch(`https://api.bageldb.ai/api/v1/asset/${assetId}/download`, {
headers: {
'X-API-KEY': `${process.env.BAGEL_API_KEY}`
}
});
// Forward the content-type header
res.set('Content-Type', response.headers.get('content-type'));
// Convert ReadableStream to Buffer and send
const arrayBuffer = await response.arrayBuffer();
const buffer = Buffer.from(arrayBuffer);
res.send(buffer);
} catch (error) {
res.status(500).json({
error: 'Failed to forward request to BagelDB',
details: error.message
});
}
}
);
}
public registerAgent(runtime: AgentRuntime) {
this.agents.set(runtime.agentId, runtime);
}
public unregisterAgent(runtime: AgentRuntime) {
this.agents.delete(runtime.agentId);
}
public start(port: number) {
this.app.listen(port, () => {
elizaLogger.success(`Server running at http://localhost:${port}/`);
});
}
}
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) => {
elizaLogger.warn("Direct client does not support stopping yet");
},
};
export default DirectClientInterface;