## Background
This branch started as a focused fix to agentic RAG regexp retrieval
semantics (`f80556585`) and grew into the full agentic RAG path. The
title no longer describes the contents, so it has been rewritten.
The PR now covers three largely independent lines of work:
### 1. The agentic RAG is reachable from the UI
`internal/agentic_rag` (the eino-ADK ReAct explorer) was already built
and wired, but only reachable by hand-crafting an `agent_mode` kwarg. It
is now the sixth option in the chat mode selector (`reasoning` level 5).
One subtlety worth stating plainly: **levels 1-4 and level 5 are not the
same agent.** Levels 1-4 go through `internal/rag/agentic-rag` (the
harness graph) with a depth chosen by `harnessModeForLevel`; level 5
switches engines outright to `internal/agentic_rag`. That is why level 5
must never reach `harnessModeForLevel` — its `level >= 4` case would
silently answer "ultra" for a level outside its domain.
### 2. Per-dialog failover chain
`agenticModelChain` resolved exactly one model and the caller then used
`chain[0]`, so a "chain" was never more than a single element. A dialog
can now configure an ordered list of fallback models in Chat Settings,
handed to `NewFailoverEinoChatModel` (sticky cursor plus a 30s
full-chain cooldown).
The list lives in the dialog's own `llm_setting.failover_llm_ids`, so no
new table is involved. A member that no longer resolves is skipped with
a warning rather than failing the turn.
Also removed: `tenant_model_group` / `tenant_model_group_mapping`, which
nothing ever read (the DAOs were constructed but never called, and no
frontend or Python code referenced the concept). Their removal takes an
explicit drop migration with it, plus the account-deletion cascade that
queried them.
### 3. A hung MiniMax stream (independent of the agentic work)
With any mode selected, a chat rendered its whole answer and then sat on
"thinking" forever. Root cause is `minimax.go:256`: MiniMax sends `data:
[DONE]` but leaves the HTTP connection open, and the code waited for the
scanner goroutine's EOF *after* `HandleStreamingResponse` had already
returned. That receive can only end when `streamCallTimeout` (20
minutes) expires.
Diagnosed by capturing a real SSE stream (the complete answer arrives,
the terminal `final: true` never does) and a goroutine dump (6 requests
parked in `chan receive`).
## Two review findings fixed on the way through
- **KB-scope authorization**: the agentic branch bypassed quote
resolution, and an empty KB scope made `buildBoolQueryFromCondition`
drop the `kb_id` filter — so a citation could resolve a chunk belonging
to a different KB in the same tenant. The agentic branch now requires a
non-empty scope and otherwise falls through to the regular path.
- **Stale documentation**: `agentic-rag-failover-groups.md` described
the "automatically include every tenant model" strategy that upstream
had already removed. It was rewritten for the per-dialog scope and then
dropped entirely, since the design now lives in the code it describes.
## Verification
- `bash build.sh --test`: `admin`, `dao`, `service`, `service/dataset`
and `entity/models` all pass
- The MiniMax fix was verified end-to-end against a live server: before,
the turn hung indefinitely; after, it completes in **1.9s** with `final:
true` present
- Frontend: 9 tests added; type-check and lint clean on the touched
files
## Not included
- **Attachment support in agentic mode.** Text attachments could be
appended safely, but images have no safe fix: the agent's toolset is
built around corpus retrieval and has no image input channel. Fixing
only the text path would leave the feature half-supported and harder to
diagnose than now. Planned as a follow-up PR, with the design synced
here first.
- Tool-calling is not enforced as a group constraint. `is_tools` is a
provider-declared flag rather than a measured capability (187 of 659
chat models do not declare it), so gating on it would reject working
configurations while admitting broken ones.
Added Hubris as a new OpenAI-compatible model provider for the Russian market, with per-model thinking.default_value empirically measured (not guessed), endpoint pinned (not configurable)
Add MonkeyOCRv2-Parsing as a document layout parser. Adapter sends docs to HTTP API, extracts ZIP response, converts JSON layout (text/tables/bbox) to RAGFlow sections. Configurable via MONKEYOCRV2_SERVER_URL.
Add llmman support (local OCI-distributed models) — Python + Go chat/embeddings/list. Uses OpenAI API shape.
Signed-off-by: Eric Curtin <[email protected]>
Co-authored-by: Jin Hai <[email protected]>
Fix OAuth callback URL examples in docs — now use /api/v1/auth/oauth/<channel>/callback (was stale /v1/user/oauth/callback).
Co-authored-by: 谢金城 <[email protected]>
Co-authored-by: Jin Hai <[email protected]>
Fix sandbox spec documentation mismatch. pool_size is a deployment-scoped env var (read-only), not a writable runtime setting. Removed from writable examples, updated spec to match actual provider schema, and fixed stale test assertions.
Sbaaoui Idriss