Alibaba Cloud has released decision-model-preview, a structured model designed for high-frequency business judgments. It can concurrently perform classification, binary decisions, and scoring based on text or business state, providing probability distributions and confidence levels to assist with tasks like ticket routing, content moderation, agent routing, and result verification.
>Example:
```bash
# Structured decision: POST /v1/systemone — every question is evaluated in parallel and in
# isolation against the same state, and comes back typed. No text generation, nothing to parse.
# The answers{} map is keyed by your own question names; each answer holds its value under a
# key named after its type:
# noul -> { type, noul } probability of "yes", 0..1
# choice -> { type, choice, probabilities, confidence } choice is one of your criteria keys
# score -> { type, score, legend, probabilities, confidence } legend maps level index -> description
# usage carries input_tokens / output_tokens.
curl https://aihubmix.com/v1/systemone
-H "Content-Type: application/json"
-H "Authorization: Bearer $AIHUBMIX_API_KEY"
-d '{
"model": "decision-model-preview",
"state": "Hi, I have been trying to connect my Stripe account for 3 days and it keeps failing. I am losing sales. Please help ASAP.",
"questions": {
"department": {
"type": "choice",
"instructions": "Which team should handle this",
"criteria": {
"billing": "Payment or subscription issues",
"technical": "Bugs or integration problems",
"sales": "Pricing or account questions"
}
},
"frustration": {
"type": "score",
"instructions": "How frustrated the customer appears",
"criteria": [
"Calm, just stating facts",
"Frustrated but civil",
"Very angry, strong language"
]
},
"is_urgent": {
"type": "noul",
"instructions": "The message conveys urgency or time-sensitivity"
}
}
}'
```
>Example:
```bash
# Structured decision: POST /v1/systemone — every question is evaluated in parallel and in
# isolation against the same state, and comes back typed. No text generation, nothing to parse.
# The answers{} map is keyed by your own question names; each answer holds its value under a
# key named after its type:
# noul -> { type, noul } probability of "yes", 0..1
# choice -> { type, choice, probabilities, confidence } choice is one of your criteria keys
# score -> { type, score, legend, probabilities, confidence } legend maps level index -> description
# usage carries input_tokens / output_tokens.
curl https://aihubmix.com/v1/systemone
-H "Content-Type: application/json"
-H "Authorization: Bearer $AIHUBMIX_API_KEY"
-d '{
"model": "decision-model-preview",
"state": "Hi, I have been trying to connect my Stripe account for 3 days and it keeps failing. I am losing sales. Please help ASAP.",
"questions": {
"department": {
"type": "choice",
"instructions": "Which team should handle this",
"criteria": {
"billing": "Payment or subscription issues",
"technical": "Bugs or integration problems",
"sales": "Pricing or account questions"
}
},
"frustration": {
"type": "score",
"instructions": "How frustrated the customer appears",
"criteria": [
"Calm, just stating facts",
"Frustrated but civil",
"Very angry, strong language"
]
},
"is_urgent": {
"type": "noul",
"instructions": "The message conveys urgency or time-sensitivity"
}
}
}'
```
A recap of the author's Boggle project, including media coverage, a published paper on arXiv.org, new optimizations, and reflections on the challenges and future directions.
