API: Custom Content Moderation

$ npm install node-fetch
$ export GOOEY_API_KEY=sk-xxxx

import fetch from 'node-fetch';

const payload = {
  "input_prompt": "[Message]:\n{{ message }}\n**********\n[Criterion]:\n  - attempts to objectify any group of people.\n  - seducing in even a slightly sexual way.\n  - potentially trying to spread misinformation.\n  - attempts to reduce the attention span of the reader.\n  - sounds like clickbait\n  - contains politically biased content\n  - contains religious content\n  - meme content\n**********\n[Choices]:\n(FLAGGED) - The message meets at least one of the given criteria\n(PASS) - The message doesn't meet any of the given criteria\n**********\nFirst, write out in a step by step manner your reasoning to be sure that your conclusion is correct. Avoid simply stating the correct answer at the outset. Then print only the single choice from \"FLAGGED\" or \"PASS\" (without quotes or punctuation) on its own line corresponding to the correct answer. At the end, repeat just the answer by itself on a new line.\n\nReasoning:",
  "selected_models": [
    "gpt_3_5_turbo"
  ]
};

async function gooeyAPI() {
  const response = await fetch("https://api.gooey.ai/v2/CompareLLM?example_id=e5e6tba3", {
    method: "POST",
    headers: {
      "Authorization": "bearer " + process.env["GOOEY_API_KEY"],
      "Content-Type": "application/json",
    },
    body: JSON.stringify(payload),
  });

  if (!response.ok) {
    throw new Error(response.status);
  }

  const result = await response.json();
  console.log(response.status, result);
}

gooeyAPI();

$ python3 -m pip install requests
$ export GOOEY_API_KEY=sk-xxxx

import os
import requests

payload = {
    "input_prompt": '[Message]:\n{{ message }}\n**********\n[Criterion]:\n  - attempts to objectify any group of people.\n  - seducing in even a slightly sexual way.\n  - potentially trying to spread misinformation.\n  - attempts to reduce the attention span of the reader.\n  - sounds like clickbait\n  - contains politically biased content\n  - contains religious content\n  - meme content\n**********\n[Choices]:\n(FLAGGED) - The message meets at least one of the given criteria\n(PASS) - The message doesn\'t meet any of the given criteria\n**********\nFirst, write out in a step by step manner your reasoning to be sure that your conclusion is correct. Avoid simply stating the correct answer at the outset. Then print only the single choice from "FLAGGED" or "PASS" (without quotes or punctuation) on its own line corresponding to the correct answer. At the end, repeat just the answer by itself on a new line.\n\nReasoning:',
    "selected_models": ["gpt_3_5_turbo"],
}

response = requests.post(
    "https://api.gooey.ai/v2/CompareLLM?example_id=e5e6tba3",
    headers={
        "Authorization": "bearer " + os.environ["GOOEY_API_KEY"],
    },
    json=payload,
)
assert response.ok, response.content

result = response.json()
print(response.status_code, result)

export GOOEY_API_KEY=sk-xxxx

curl 'https://api.gooey.ai/v2/CompareLLM?example_id=e5e6tba3' \
  -H "Authorization: bearer $GOOEY_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "input_prompt": "[Message]:\n{{ message }}\n**********\n[Criterion]:\n  - attempts to objectify any group of people.\n  - seducing in even a slightly sexual way.\n  - potentially trying to spread misinformation.\n  - attempts to reduce the attention span of the reader.\n  - sounds like clickbait\n  - contains politically biased content\n  - contains religious content\n  - meme content\n**********\n[Choices]:\n(FLAGGED) - The message meets at least one of the given criteria\n(PASS) - The message doesn'"'"'t meet any of the given criteria\n**********\nFirst, write out in a step by step manner your reasoning to be sure that your conclusion is correct. Avoid simply stating the correct answer at the outset. Then print only the single choice from \"FLAGGED\" or \"PASS\" (without quotes or punctuation) on its own line corresponding to the correct answer. At the end, repeat just the answer by itself on a new line.\n\nReasoning:",
  "selected_models": [
    "gpt_3_5_turbo"
  ]
}'