launchables°

Get started

Quick start

Your first decision in one request.

1. Get a key

Sign in to the console and create a key. It is shown once and starts with launchables_. Keep it in an environment variable:

export LAUNCHABLES_API_TOKEN=launchables_...

2. Ask a question

One request, one yes or no decision:

curl https://api.launchables.ai/v1/decide \
  -H "Authorization: Bearer $LAUNCHABLES_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "state": "Customer bought the item 12 days ago and has no receipt. Policy: refunds within 30 days with proof of purchase.",
    "questions": {
      "refund": {
        "type": "noul",
        "instructions": "Is a refund permitted under the policy?"
      }
    }
  }'

3. Read the answer

{
  "model": "myles-g-12b",
  "answers": {
    "refund": { "type": "noul", "noul": 0.04 }
  },
  "usage": { "input_tokens": 96, "output_tokens": 1 }
}

noul is the probability that the answer is yes. Here, 0.04: a refund is very unlikely to be permitted.

4. Ask several questions at once

Name each question; each answer comes back under the same name. Questions about one state are read in parallel.

curl https://api.launchables.ai/v1/decide \
  -H "Authorization: Bearer $LAUNCHABLES_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "state": {"from": "J. Smith", "message": "Charged twice for order 4471, need the extra payment back"},
    "questions": {
      "route":    {"type": "choice", "instructions": "Which team?", "criteria": ["billing", "returns", "technical", "other"]},
      "refund":   {"type": "noul",   "instructions": "Is the customer asking for money back?"},
      "priority": {"type": "score",  "instructions": "How urgent?", "criteria": ["Routine", "This week", "Today"]}
    }
  }'

Next steps