git:20260918.34bbeb1 to git:20260919.aa4e43a

# RAGFlow citation snapshots

`knowledge_search_tool` returns native `content_and_artifact`: model-visible

`[citation:N](#knowledge-<opaque-id>)` links resolve to bounded

`artifact.knowledge_sources` version-one evidence snapshots. Provider locators

stay in the artifact; source names and text are credential-redacted in both

representations. IDs are unique per retrieval, never per-message ordinal IDs.

Only actual emitted entries get source records. Retain the exact excerpt sent

to the model and mark truncation; do not fetch a fresh chunk and present it as

historical evidence. Direct `knowledge_search()` callers retain its string API.

`sources.py` forwards only captured sources cited by ordinary subagent results,

with count/text budgets. The source dialog uses stored thread messages and

introduces no unauthenticated document proxy. Durable batch result storage and

standalone Markdown do not include native source artifacts.

Output budgeting retains complete evidence entries and their source records

together, including delegated results and model-request history. Never shorten

an excerpt under an existing ID. Drop entries that cannot fit, with an omission

notice, while preserving unrelated artifact fields. This honors per-tool and

fallback limits without exempting citation-bearing results from the budget.