tinker.types.SampleResponse
class tinker.types.SampleResponse(**)
Response from a sampling request.
Contains generated sequences and optional prompt-level log probabilities. Numpy fields provide direct array access without format conversion. The corresponding Python-list properties convert lazily on first access.
Fields:
- sequences – Generated sequences. Each contains token IDs, optional logprobs, and stop reason.
- prompt_logprobs_np – Per-token log probabilities for the prompt as a 1-D float32 numpy array,
shape
(prompt_length,).NaNat positions where logprobs were not computed (e.g. the first prompt token). None if prompt logprobs were not requested. - topk_prompt_logprobs_np – Top-k prompt logprobs as a pair of dense matrices
(see
TopkPromptLogprobs). None if top-k was not requested.
prompt_logprobs()
Per-token log probabilities for the prompt as a Python list.
If prompt_logprobs was set to true in the request, logprobs are
computed for every token in the prompt. Each entry is a float, or
None for positions where logprobs were not computed (e.g. the
first prompt token). Returns None if prompt logprobs were not
requested.
Converted from prompt_logprobs_np on first access (cached afterwards).
Returns: Optional[List[Optional[float]]]
topk_prompt_logprobs()
Top-k prompt logprobs as nested Python lists.
If topk_prompt_logprobs was set to a positive integer k in the request,
the top-k logprobs are computed for every token in the prompt.
For each prompt position: a list of up to k (token_id, logprob)
tuples, or None for positions where logprobs were not computed.
Returns None if top-k was not requested.
Converted from topk_prompt_logprobs_np on first access (cached afterwards).
Returns: Optional[list[Optional[list[tuple[int, float]]]]]