v0.10.1

A patch release despite two breaking changes, because neither touches an
on-disk format: meta.json, report.json and the shard records read as
before, IDENTITY_SCHEMA stays 1, and a 0.10.0 result directory still resumes
(one retuned serving plan aside, below). What breaks is configuration (the
embedding endpoint must now be set) and the grader digest; a resume that sees a
changed grader digest regrades on the recorded inference, so no sample is
inferred again.

Added

• Per-rollout generation logprobs at n > 1. infer_args: {return_logprobs: true, top_logprobs: N} used to be refused above n: 1; now every rollout's logprobs land in ModelOutput.choice_logprobs, one RolloutLogprobs per rollout in texts order, and the single-sequence fields stay None. Supported on sglang_legacy (each sample's own meta_info, and a reply with a sample count other than n is refused), openai_completions and openai_chat (streaming included). google_genai and openai_responses refuse it before any I/O. Old records decode with choice_logprobs=None. For dialect authors: an OutputContract defined outside SiEval needs a choice_logprobs rule, or building it raises (#171, #175).
• client_timeout: {connect, read, write, pool}, in seconds, wherever max_retries is accepted (a root model, top level or args, and an inline grader / extractor; a derived model is refused). It is a client setting: never sent in the request body and in no stage identity, so changing it resumes without a rerun or regrade. Defaults are 5 s connect and 600 s for the rest; an engine sieval run launched defaults to a 30 s connect. A model's args.timeout is still a request argument, not the client timeout (#169, #174).

Fixed

• qwen3-30b-a3b SGLang mem_fraction_static drops from 0.90 to 0.87 on A100-80G bf16 and H100-80G bf16/fp8. At tp2×dp4, 0.90 left DP0 too little memory for SGLang's piecewise CUDA graph capture and the server OOMed at startup; that H100 configuration never came up at 0.90. The serving plan is part of the inference identity, so an earlier result for this model on these GPUs that used the recipe default (no hand-pinned value) now reads as a different inference: --resume refuses it, and a leaderboard shows it Pending (#168, #172).
• A request timeout's error_msg names the phase that timed out, e.g. Request timed out. (timeout phase: connect); error_reason is unchanged (#169, #174).

Changed

• BREAKING — NL2SH-ALFA and T-Eval no longer default to an internal embedding endpoint. NL2SH-ALFA (both readings) and T-Eval with eval_thought=True need both SIEVAL_EMBED_API and SIEVAL_EMBED_API_KEY set, and the task fails at construction if either is unset. T-Eval without eval_thought needs neither (#167).
• BREAKING — the grader identity is keyed by file path within its code root, not by import name. identity.grader.modules keys become file paths (sieval/tasks/gsm8k_0shot_gen.py, or ./… for the task's own plugin package), and identity.grader.task becomes <file key>:<qualname>. Every plugin package the walk reaches is digested whole, whatever its name, namespace packages included. Within the task's own plugin package, absolute self-imports are normalised before hashing and a directory without __init__.py digests as having an empty one, so a renamed copy (such as sieval-plugins' sieval_plugins__<task>__<variant>) digests the same as the original. Grader digests rotate fleet-wide, built-in tasks included; IDENTITY_SCHEMA stays 1, and a resume of a 0.10.0 directory regrades on the recorded inference (#170, #173, #176).
• CI's change detection compares a push to main against the previous commit, so a re-run no longer fails on a stale default-branch name (#166).