DEDUPED Hot AI repos, turned into use cases Get 5 a day

What you can do with Start Lux Decision

StartLux-Decision is an open inference engine and HTTP server for a family of decision models that return a calibrated probability for every option of typed questions.

Trended earlier

StartLuxLabs/StartLux-Decision on GitHub

Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk.

What do you want to do?

3 use cases

  • Route support tickets to teams with typed decision questions

    Run a local decision server and get a team, urgency and severity answer for each ticket.

    View prompt
    Using the StartLux-Decision repo, start the decision server with the 4B AutoThink model and send the ticket text <ticket_text> to POST /v1/systemone with a choice question named team, a noul question named urgent and a score question named severity. Return the answers JSON. Verify that the team answer is one of the listed criteria keys.

  • Test decision requests on the hosted 27B model without a GPU

    Send decision requests to the hosted 27B AutoThink model with a Bamboo API key.

    View prompt
    Using the StartLux-Decision README, build a POST request to /v1/decisions on bamboonode.dev with the state <state_text> and one choice question with the criteria <criteria_list>. Return the response answers and the model name. Verify that the model name in the response is the 27B AutoThink model.

  • Send decisions with no fitting option to a person

    Use none_probability to route questions where no listed option seems right.

    View prompt
    Using the StartLux-Decision repo, send <question_text> with the listed <criteria> to POST /v1/systemone with none_check set to true. Return the choice, its confidence and none_probability. Verify that any answer with none_probability of 0.2 or more is marked for human review.

How to use Start Lux Decision

  1. Check you have what it needs: Python environment that can install the package with vLLM support, or a Bamboo API key for the hosted model; A GPU for the local vLLM setup; the README numbers were measured on one H200; Disk space and network access to download a model from Hugging Face.
  2. Open StartLuxLabs/StartLux-Decision on GitHub and read the README and license.
  3. Run git clone https://github.com/StartLuxLabs/StartLux-Decision.git and then cd StartLux-Decision.
  4. Run pip install -e '.[vllm]' in the same Python environment as vLLM.
  5. Run hf download startlux-models/StartLux-Decision-v1.1-4B-AutoThink --local-dir models/StartLux-Decision-v1.1-4B-AutoThink.
  6. Run startlux-decide serve --model models/StartLux-Decision-v1.1-4B-AutoThink --launch-vllm --gpus 0,1,2,3 --port 8090, changing the GPU list to match your machine.

These steps come from our top use case, Route support tickets to teams with typed decision questions, which also has a copy-paste agent prompt.

Start Lux Decision alternatives · Best AI repos for Work and operations

About this repo

Requirements

  • Python environment that can install the package with vLLM support, or a Bamboo API key for the hosted model
  • A GPU for the local vLLM setup; the README numbers were measured on one H200
  • Disk space and network access to download a model from Hugging Face
Maintain Start Lux Decision? Add the Featured on Deduped badge

Paste this into your README:

[![Featured on Deduped](https://dedupedai.com/badge/startluxlabs-startlux-decision.svg)](https://dedupedai.com/use-cases/startluxlabs-startlux-decision/?ref=badge)

More badge styles and HTML

Questions about Start Lux Decision

What is Start Lux Decision?

StartLux-Decision is an open inference engine and HTTP server for a family of decision models that return a calibrated probability for every option of typed questions. It is an open-source project on GitHub: https://github.com/StartLuxLabs/StartLux-Decision.

Who is Start Lux Decision for?

Built for developers and operations teams who need structured yes, no, choice or scale decisions from text, JSON or images, served on their own GPUs or through the hosted API.

What can I do with Start Lux Decision?

3 use cases so far, for example: Route support tickets to teams with typed decision questions; Test decision requests on the hosted 27B model without a GPU; Send decisions with no fitting option to a person. Each has steps and a copy-paste agent prompt.

What do I need to run Start Lux Decision?

Python environment that can install the package with vLLM support, or a Bamboo API key for the hosted model; A GPU for the local vLLM setup; the README numbers were measured on one H200; Disk space and network access to download a model from Hugging Face.

What are alternatives to Start Lux Decision?

Other hot AI repos in Work and operations: AI Job Search, Solidcraft, Fastbrowse, Awesome AI Agent Platforms, Nautilo.

Is Start Lux Decision safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.