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0123456789ABCDEtoday at 4:25 PM2 repliesview on HN

this is such a trivial thing to do in DSPY, no one bothered to give it a name…

here's 7 lines

  import os
  import dspy

  lm = dspy.LM("openrouter/z-ai/glm-5.3-flash", api_key=os.environ["OPENROUTER_API_KEY"])
  jev = dspy.Predict('email:str -> choice:Literal["Legitimate", "Spam", "Phishing"]')
  email = "Payroll asks for your password on a non-company sign-in page."
  pred = jev(email=email, lm=lm)
  print(pred.choice)
there are other options, obviously. you can choose to give it some tools, maybe some reasoning stage before picking a choice, and that's on top of the "reasoning" the llm model already does api side

Replies

0123456789ABCDEtoday at 6:21 PM

after looking closer at the typesafe's jev, i want to point out that i misunderstood the significance of this jev model

it is the latency that makes it significant

amaitoday at 4:49 PM

What about the probabilities?

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