Token logprobs are logarithmic probabilities returned by model APIs that indicate the model's confidence for each generated token alongside the likelihood of top alternative candidates.
flowchart LR
P["Prompt Context"] --> Step1["Next Token Selection"]
Step1 --> A1["Jerseys<br/>p = 85% (logprob -0.16)"]
Step1 -.-> A2["Apparel<br/>p = 10% (logprob -2.30)"]
Step1 -.-> A3["Kits<br/>p = 5% (logprob -3.00)"]
A1 --> Step2["Subsequent Token"]
Step2 --> B1["Store (72%)"]
Step2 -.-> B2["Online (21%)"]