{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "nokia-applied-research-anyjev--route-tickets-with-tacit-decisions",
 "repo": "nokia-applied-research/AnyJev",
 "repo_url": "https://github.com/nokia-applied-research/AnyJev",
 "repo_slug": "nokia-applied-research-anyjev",
 "title": "Route support tickets to one option with a probability",
 "page_title": "How to route support tickets to one option with a probability with Any Jev",
 "summary": "Send a customer message to one of several queues and get the probability for each queue in one call.",
 "who": "A support or operations engineer who wants a Python service to sort incoming customer messages into fixed categories and needs a confidence value for each sort.",
 "problem": "Free-text model replies are hard to parse and give no usable confidence, so routing rules end up brittle.",
 "outcome": "Each message gets one chosen option, a probability per option, and a route field showing whether the decision came from a single forward pass or from reasoning.",
 "steps": [
  "Create a Python environment and run `pip install \"anyjev[hf]\"`. (inferred, check the README)",
  "Load the model in Python with `Tacit.from_pretrained(\"morriszjm/Tacit-9B\")`.",
  "Call `tacit.decide(state=<customer message>, question=\"What does the customer want?\", options=[<your queue names>])` on one message. (inferred, check the README)",
  "Read `d[\"answer\"]`, `d[\"probs\"]` and `d[\"route\"]` from the returned result.",
  "Use `decide_batch([...])` with a list of decision dicts to process a queue of messages."
 ],
 "agent_prompt": "Using the repo AnyJev (nokia-applied-research/AnyJev), load morriszjm/Tacit-9B with Tacit.from_pretrained and call decide on <customer message> with the options <queue list>. Expected output: the chosen option, a probability per option, and the route value. Verify that the probabilities sum to about 1 before routing the ticket.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "The Tacit checkpoints are published on Hugging Face and need a GPU for the 9B model, so check hardware before you plan the rollout.",
 "category": "Work and operations",
 "tags": [
  "Work and operations"
 ],
 "lang": "python",
 "requirements": [
  "Python with pip",
  "A GPU or a vLLM server for the 9B-class models, or a smaller open causal LM for the training-free path",
  "Access to the Hugging Face model you choose, for example morriszjm/Tacit-9B or Qwen/Qwen3-8B"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/nokia-applied-research-anyjev/route-tickets-with-tacit-decisions/",
 "md": "https://dedupedai.com/use-cases/nokia-applied-research-anyjev/route-tickets-with-tacit-decisions/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/nokia-applied-research-anyjev--route-tickets-with-tacit-decisions.json",
 "api_version": "v1"
}