Legacy knowledge bases (`datasets`) and KnowledgeFS spaces
(`knowledge_fs_control_spaces`) live in different tables, so a dataset API
key binding could only ever name a legacy dataset and the KnowledgeFS service
API never consulted bindings at all: a key scoped to specific knowledge bases
still reached every KnowledgeFS space in the workspace.
- Bindings carry a `resource_type` (`dataset` | `knowledge_fs_space`) and a
nullable `control_space_id` (migration 9a4e7d1c2b60, existing rows stay
`dataset`), with a CHECK that exactly one id column matches the type.
- `dataset_api_key_service` exposes the key scope by kind, validates and
binds KnowledgeFS spaces (tenant-owned, not deleting/deleted), and cleans up
keys scoped only to a space when its deletion is requested. The orphan-key
cleanup is now NULL-safe so a space binding keeps a key alive.
- Legacy dataset routes only honour `dataset` bindings; the KnowledgeFS
authorization service only honours `knowledge_fs_space` bindings and raises
a scope error that the service API maps to 403 (unknown keys stay 401).
- Console key creation accepts `knowledge_space_ids`; list/create responses
return them next to `dataset_ids`.
- The web scope picker lists KnowledgeFS spaces alongside legacy datasets
when KnowledgeFS is enabled and submits the ids by kind; the scope column
counts both.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015zw5G5SX3HmVfnZof6YWAc
Every document-processing failure surfaced as "the document could not be
processed", and every data-source failure as "the source could not be read",
because the root cause was erased at three points: the compilation classifier
collapsed any coded-but-non-retryable error into DOCUMENT_COMPILATION_FAILED,
datasource runtime errors were reduced to per-operation constants, and the
console mapped dozens of codes onto a handful of generic sentences without the
stage or a support reference.
- knowledge-fs: keep the specific public code for any coded error in the
compilation classifier (retry follows the error or the catalog policy), tag
previously uncoded failures (semantic chunking output, embedding dimension,
PDF rendering, lease loss, generation model, unsupported file type) with
public codes, give embedding provider errors their own codes instead of the
parser's, alias datasource runtime codes, and register 17 catalog entries
(model response invalid, parser unsupported type, PDF render, crawl page
not found, provider timeout/unavailable/rejected, content too large, ...).
- api: extend the public error-code enum (including the missing
DOCUMENT_PARSER_TIMEOUT) and regenerate the contracts.
- web: per-code copy that says what happened and what to do, in all 24
locales, plus a "failed while <stage> · reference <id>" line under each
failed task in the background-task drawer and the document task list.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015zw5G5SX3HmVfnZof6YWAc
The KnowledgeFS retrieval node treated the query text as mandatory even though
a query image is a complete input on its own. Text and image are now
alternatives: the node needs at least one of them, never both.
- web: drop the required mark from the query text field; the checklist fails
only when neither variable is bound (new i18n message in every locale).
- api: make `query_variable_selector` optional with a model-level rule that
one of the two selectors must be set, and only map the query variable when
it is bound. At runtime an empty text without images is a configuration
error; an image-only query retrieves with an empty text, merges spaces on
their own scores instead of a text reranker, skips automatic metadata
extraction, and skips the text-based failed-query capture.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015zw5G5SX3HmVfnZof6YWAc
