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How to route support tickets to teams with typed decision questions with Start Lux Decision

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

Who it is forSupport or operations lead with a queue of incoming tickets and GPUs they can dedicate to a decision server.

The problemTickets arrive as free text and someone has to decide which team handles each one, how urgent it is and how severe the impact is.

The outcomeEach ticket gets a probability for every team option, a yes or no urgency probability and an expected severity level, returned from one local endpoint.

What you need first

  • 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

Steps

  1. Run git clone https://github.com/StartLuxLabs/StartLux-Decision.git and then cd StartLux-Decision.
  2. Run pip install -e '.[vllm]' in the same Python environment as vLLM.
  3. Run hf download startlux-models/StartLux-Decision-v1.1-4B-AutoThink --local-dir models/StartLux-Decision-v1.1-4B-AutoThink.
  4. 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.
  5. Send each ticket as a POST to /v1/systemone on port 8090 using the curl request from the Quick start, with the ticket text in state and your own questions.

Prompt for your agent

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.

Caveat. The README's local setup assumes vLLM with GPUs and the 4B model download, so the first run depends on that hardware and network access.

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