Skip to content

Pass in tokenizer to render in /message #21

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
steventsao wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Pass in tokenizer to render in /message #21

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
35 changes: 12 additions & 23 deletions examples/src/index.ts
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import { promptToOpenAIChatMessages, promptToOpenAIChatRequest, render, renderun } from '@anysphere/priompt';
import { CL100K } from '@anysphere/priompt/dist/tokenizer';
import { handlePriomptPreview } from './priompt-preview-handlers';
import { ArvidStory, ExamplePrompt, SimplePrompt } from './prompt';
import fastifyCors from "@fastify/cors";
Expand Down Expand Up @@ -54,32 +55,20 @@ async function main() {
return reply.type("text/plain").send(`Welcome to Priompt examples.`);
});
S.get("/message", async (request, reply) => {
const query = request.query as { message: string; name: string };
if (query.message === undefined || query.name === undefined) {
return reply.status(400).send("Bad request; message and name are required.");
}
const message = query.message as string;
const name = query.name as string;
const prompt = ExamplePrompt({ message, name }, { dump: process.env.NODE_ENV === "development" });
const output = await render(prompt, {
model: "gpt-3.5-turbo"
});

const requestConfig: CreateChatCompletionRequest = {
model: "gpt-3.5-turbo",
messages: promptToOpenAIChatMessages(output.prompt),
};
const query = request.query as { message: string; name: string; numTokens: string };
const tokenLimit = parseInt(query.numTokens);

try {
const openaiResult = await openai.createChatCompletion(requestConfig);
const prompt = ExamplePrompt({
message: query.message,
name: query.name
});

const openaiOutput = openaiResult.data.choices[0].message;
const rendered = await render(prompt, {
tokenizer: CL100K,
tokenLimit: tokenLimit
});

return reply.type("text/plain").send(openaiOutput?.content);
} catch (error) {
console.error(error);
return reply.status(500).send("Internal server error.");
}
return rendered;
});
S.get("/database", async (request, reply) => {
const query = request.query as { message: string; confuse: string | undefined; };
Expand Down