Replaces gpt-oss on ModelConfig, qa.model and processing.title_model, and
ministral-3 on the picture-description model. qa.model.vision follows the
model and is now true.
enable_thinking was gated on the gpt-oss name, so it did nothing for
qwen3.8. With title_model's max_tokens of 100 the reasoning consumed the
whole budget and title generation returned an empty string. The mapping
now applies to any ollama model via reasoning_effort(): false sends
"none", true sends "high". Measured on qwen3.8:27b-mlx, "low" does not
disable thinking and "none" does; gpt-oss is the inverse, its template
has no "none" level, so it keeps "low".
Picture description bypasses get_model -- docling posts the request
itself from a params dict -- so the flag was inert on that path too.
vlm_api_params() carries reasoning_effort into both converters' request
bodies. At max_tokens 200 the description survived either way, but the
switch cut completion tokens from 141 to 45.
test_search_tool_skips_binary_content_when_qa_model_is_text_only asserted
the vision default rather than setting it; it now configures vision=False
itself.
docs/benchmarks.md keeps ministral-3: those are recorded measurements.
`_rich_print_document` escapes uri, title and metadata, the sibling of
the escaped search-result renderer. The remaining comments and
docstrings that narrated rejected alternatives, consequences or history
now state the current invariant. The Sandbox class docstring names the
held connection close() releases, and wrapped docs paragraphs join to
one line.
Restructure the storage page into search and provenance, duplicate ids,
ranking, Python operations and CLI commands, and state each in reference
voice. `Several Databases` becomes `Multiple Databases`, with the anchor
carried through every referrer, and the instruction files follow the same
name. Example databases are `papers`, `wiki` and `notes`.
`AmbiguousCitationError` is raised for a cited chunk id held by more than one
selected database, not for any shared id.
`covers_a_set` is true for a mapping of one, which is a configured database
like any other; `uses_configured_databases` says that. Its population guard
said "several" for the same reason. Document evaluating the configured set
with `--skip-db`, against population, which writes one database and needs a
path.
IBM's MTRAG benchmark (ClapNQ domain, pinned repo SHA): retrieval with
Recall@k/nDCG@k against binary qrels, gold-prefix QA replaying reference
conversation prefixes as message history, and live-session replay
carrying the model's own answers and tool history across turns.
Corpus population gains a bounded, resumable batched ingest path.
ConversationInput case type with transcript rendering for the judge,
eligibility-aware citation scoring, refusal precision/recall via a
label-aware RefusalJudge, per-turn verdicts with judged-turn coverage,
and per-turn tool-traffic attributes counted from each turn's new
messages so the arrays survive prior-turn compaction.
