Files
open-gsio/workers/site/sdk/chat-sdk.ts
geoffsee ceeefeff14 Remove unused components and assets from the project
Deleted unused components (Attachments, CustomMarkdownRenderer, EnableSearchButton, FlyoutSubMenu) and associated styles (katex.css) to streamline the codebase. This cleanup helps reduce technical debt and improve project maintainability.
2025-05-27 15:15:45 -04:00

134 lines
3.6 KiB
TypeScript

import {OpenAI} from "openai";
import Message from "../models/Message";
import {AssistantSdk} from "./assistant-sdk";
import {IMessage} from "../../../src/stores/ClientChatStore";
import {getModelFamily} from "../../../src/components/chat/lib/SupportedModels";
export class ChatSdk {
static async preprocess({
messages,
}) {
// run processing on messages to generate events/context
// removed in this fork due to expenses
return Message.create({
role: "assistant",
content: "",
});
}
static async handleChatRequest(
request: Request,
ctx: {
openai: OpenAI;
systemPrompt: any;
maxTokens: any;
env: Env;
},
) {
const streamId = crypto.randomUUID();
const {messages, model, conversationId} =
await request.json();
if (!messages?.length) {
return new Response("No messages provided", {status: 400});
}
const preprocessedContext = await ChatSdk.preprocess({
messages,
});
const objectId = ctx.env.SITE_COORDINATOR.idFromName("stream-index");
const durableObject = ctx.env.SITE_COORDINATOR.get(objectId);
await durableObject.saveStreamData(
streamId,
JSON.stringify({
messages,
model,
conversationId,
timestamp: Date.now(),
systemPrompt: ctx.systemPrompt,
preprocessedContext
}),
);
return new Response(
JSON.stringify({
streamUrl: `/api/streams/${streamId}`,
}),
{
headers: {
"Content-Type": "application/json",
},
},
);
}
static async calculateMaxTokens(
messages: any[],
ctx: Record<string, any> & {
env: Env;
maxTokens: number;
},
) {
const objectId = ctx.env.SITE_COORDINATOR.idFromName(
"dynamic-token-counter",
);
const durableObject = ctx.env.SITE_COORDINATOR.get(objectId);
return durableObject.dynamicMaxTokens(messages, ctx.maxTokens);
}
static buildAssistantPrompt({maxTokens}) {
return AssistantSdk.getAssistantPrompt({
maxTokens,
userTimezone: "UTC",
userLocation: "USA/unknown",
});
}
static buildMessageChain(
messages: any[],
opts: {
systemPrompt: any;
assistantPrompt: string;
toolResults: IMessage;
model: any;
},
) {
const modelFamily = getModelFamily(opts.model);
const messagesToSend = [];
messagesToSend.push(
Message.create({
role:
opts.model.includes("o1") ||
opts.model.includes("gemma") ||
modelFamily === "claude" ||
modelFamily === "google"
? "assistant"
: "system",
content: opts.systemPrompt.trim(),
}),
);
messagesToSend.push(
Message.create({
role: "assistant",
content: opts.assistantPrompt.trim(),
}),
);
messagesToSend.push(
...messages
.filter((message: any) => message.content?.trim())
.map((message: any) => Message.create(message)),
);
return messagesToSend;
}
}
export default ChatSdk;