gristlabs_grist-core/app/server/lib/Assistance.ts
Cyprien P 1ff93f89c2 (core) Porting the AI evaluation script
Summary:
Porting script that run an evaluation against our formula dataset.

To test you need an openai key (see here: https://platform.openai.com/)
or hugging face (it should work as well), then checkout the branch and run

`OPENAI_API_KEY=<my_openai_api_key> node core/test/formula-dataset/runCompletion.js`

Test Plan:
Needs manually testing: so far there is no plan to make it part of CI.

The current score is somewhere around 34 successful prompts over a total of 47.

Reviewers: paulfitz

Reviewed By: paulfitz

Subscribers: jarek

Differential Revision: https://phab.getgrist.com/D3816
2023-03-15 14:54:28 +01:00

116 lines
3.4 KiB
TypeScript

/**
* Module with functions used for AI formula assistance.
*/
import {delay} from 'app/common/delay';
import log from 'app/server/lib/log';
import fetch from 'node-fetch';
export const DEPS = { fetch };
export async function sendForCompletion(prompt: string): Promise<string> {
let completion: string|null = null;
let retries: number = 0;
while(retries++ < 3) {
try {
if (process.env.OPENAI_API_KEY) {
completion = await sendForCompletionOpenAI(prompt);
}
if (process.env.HUGGINGFACE_API_KEY) {
completion = await sendForCompletionHuggingFace(prompt);
}
break;
} catch(e) {
await delay(1000);
}
}
if (completion === null) {
throw new Error("Please set OPENAI_API_KEY or HUGGINGFACE_API_KEY (and optionally COMPLETION_MODEL)");
}
log.debug(`Received completion:`, {completion});
completion = completion.split(/\n {4}[^ ]/)[0];
return completion;
}
async function sendForCompletionOpenAI(prompt: string) {
const apiKey = process.env.OPENAI_API_KEY;
if (!apiKey) {
throw new Error("OPENAI_API_KEY not set");
}
const response = await DEPS.fetch(
"https://api.openai.com/v1/completions",
{
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
prompt,
max_tokens: 150,
temperature: 0,
// COMPLETION_MODEL of `code-davinci-002` may be better if you have access to it.
model: process.env.COMPLETION_MODEL || "text-davinci-002",
stop: ["\n\n"],
}),
},
);
if (response.status !== 200) {
log.error(`OpenAI API returned ${response.status}: ${await response.text()}`);
throw new Error(`OpenAI API returned status ${response.status}`);
}
const result = await response.json();
const completion = result.choices[0].text;
return completion;
}
async function sendForCompletionHuggingFace(prompt: string) {
const apiKey = process.env.HUGGINGFACE_API_KEY;
if (!apiKey) {
throw new Error("HUGGINGFACE_API_KEY not set");
}
// COMPLETION_MODEL values I've tried:
// - codeparrot/codeparrot
// - NinedayWang/PolyCoder-2.7B
// - NovelAI/genji-python-6B
let completionUrl = process.env.COMPLETION_URL;
if (!completionUrl) {
if (process.env.COMPLETION_MODEL) {
completionUrl = `https://api-inference.huggingface.co/models/${process.env.COMPLETION_MODEL}`;
} else {
completionUrl = 'https://api-inference.huggingface.co/models/NovelAI/genji-python-6B';
}
}
const response = await DEPS.fetch(
completionUrl,
{
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
inputs: prompt,
parameters: {
return_full_text: false,
max_new_tokens: 50,
},
}),
},
);
if (response.status === 503) {
log.error(`Sleeping for 10s - HuggingFace API returned ${response.status}: ${await response.text()}`);
await delay(10000);
}
if (response.status !== 200) {
const text = await response.text();
log.error(`HuggingFace API returned ${response.status}: ${text}`);
throw new Error(`HuggingFace API returned status ${response.status}: ${text}`);
}
const result = await response.json();
const completion = result[0].generated_text;
return completion.split('\n\n')[0];
}