## Summary
This PR aligns the Go ingestion pipeline's **Laws** DSL template with
the Python implementation by fixing heading-detection gaps, adds
image-extension support, refactors the **Extractor** component's LLM
resolution, hardens heading detection for CJK text, and makes the
Extractor accept the Python DSL prompt key names
(`sys_prompt`/`prompts`) alongside the Go names.
## Changes
### 1. Picture file-type detection (`internal/utility/file.go`)
Adds explicit mapping for common image extensions (png, jpg, jpeg, gif,
bmp, tiff, tif, webp, svg, ico, avif, heic, apng) → `FileTypeVISUAL`,
with regression tests.
### 2. Laws DSL heading-detection alignment
(`internal/ingestion/component/chunker/`)
Four fixes to `resolveTitleLevels`:
| Fix | What changed | Why |
|-----|-------------|-----|
| **DOCX `ck_type` fallback** | `ckType` field on `lineRecord`,
propagated from `ChunkDoc.CKType` in `recordsFromStructured`. When
`ck_type=="heading"`, assign `fallbackLevel`. | office_oxide extracts
DOCX heading metadata, but the info was lost before reaching the heading
detector. Word headings whose text doesn't match any regex (e.g.
"Introduction") were treated as body. |
| **`make_colon_as_title` promotion** | `isColonTitle()`: promotes lines
ending with `:`/`：` that have sentence-ending punctuation before the
colon and ≥32 runes between them. | Mirrors Python's
`make_colon_as_title` in `rag/nlp/__init__.py`. Triple guard prevents
false positives. |
| **Short/numeric line filter** | Lines with ≤1 rune or purely numeric
are pinned to body level. | Mirrors Python `tree_merge`'s filter of
`sections` where `len(...) <= 1` or `re.match(r"[0-9]+$", ...)`. |
| **PDF `remove_toc`** | `"remove_toc": true` added to the PDF parser
setup in `ingestion_pipeline_laws.json`. | The Go PDF parser already
supports TOC removal; the Book template already enables it. |
### 3. Extractor llm_id resolution
(`internal/ingestion/component/extractor.go`)
Refactored to handle both **bare tenant_model UUIDs** and **composite
model@provider** strings via the shared `resolveModelConfig`
(`dispatch_model.go`):
- **`resolveExtractorChatConfig`** — UUID path calls
`resolveModelConfigByID` directly (one DB hit); composite path goes
through `resolveModelConfig`. Added `isBareTenantModelID` pre-check for
clear errors when a UUID doesn't exist.
- **`resolveExtractorChatTarget`** — propagates resolution errors
instead of silently returning empty driver.
- **`Chat()`** — removed `driver = "dummy"` fallback. Missing driver is
now an explicit error.
- **Removed dead code**: `splitExtractorLLID`,
`findExtractorSoleActiveInstance`.
### 4. `InjectExtractorLLMID` — fallback when no user config
(`internal/common/parser_config.go`)
Injects the tenant's global default LLM into extractor components **only
when their `llm_id` is empty**. Preserves user-selected UUID or
model@provider values.
Priority: user-configured llm_id > tenant global default > error (no
silent dummy fallback).
### 5. `ResponseHeaderTimeout` increase
(`internal/entity/models/base_model.go`)
`ResponseHeaderTimeout` 60s → 120s in `NewDriverHTTPClient`. Reasoning
models with large extraction prompts can take longer than 60s to produce
the first response token.
### 6. CJK rune-aware heading detection
(`internal/ingestion/component/chunker/title.go`)
Two byte-vs-rune bugs that only manifest on CJK text:
| Fix | What changed | Why |
|-----|-------------|-----|
| **`isColonTitle` byte offset** | `body[lastPunct+1:]` →
`body[lastPunct+runeLen:]` via `utf8.DecodeRuneInString` |
`strings.LastIndexAny` returns a byte index; `+1` skips only 1 byte,
corrupting multi-byte CJK punctuation (e.g. `。` = 3 bytes) and inflating
the rune count past the 32-rune threshold → false-positive heading
promotion. |
| **Short-line filter byte count** | `len(text) <= 1` →
`utf8.RuneCountInString(text) <= 1` | Go `len` is UTF-8 bytes; a single
CJK char (3 bytes) passed the filter, but Python's `len` returns 1 →
mismatch. |
### 7. `extractor_tag.go` — log error when llm fails
When `resolveExtractorChatTarget` returned an error, `runAutoTags` will
log error.
### 8. Python DSL prompt-key compatibility
(`internal/ingestion/component/extractor.go`)
The Resume DSL template uses Python-side key names (`sys_prompt`,
`prompts`). `NewExtractorComponent` now accepts them as fallbacks
alongside the Go names:
- `system_prompt` (Go) ← `sys_prompt` (Python) as fallback
- `prompt` (Go string) ← `prompts` (Python array `[{"role","content"}]`,
takes `[0].content`) as fallback
Mirrors the alias pattern already in `internal/agent/component/llm.go`.
`resolveInputs` accepts per-call `sys_prompt` override too.
## Remaining gaps vs Python
| Gap | Scope | Impact |
|-----|-------|--------|
| **TOC removal for TXT/MD/HTML** | Python's `remove_contents_table`
works on all text formats; Go's `remove_toc` is PDF-only. | Low —
plain-text documents rarely contain structured TOCs. |
| **Regex pattern details** | Minor differences in quantifiers, missing
H5/H6 markdown patterns, missing 4-level numbering pattern. | Low — Go's
variants are stricter; DOCX headings are covered by `ck_type` fallback.
|
## Testing
- `TestHierarchyTitleChunker_CKTypeHeadingFallback` — DOCX `ck_type`
heading promotion
- `TestHierarchyTitleChunker_ColonTitlePromotion` /
`_ColonTitleShortLine_Negative` — colon-title promotion + guard
- `TestIsColonTitle_CJKEdgeCase` / `TestIsColonTitle_ASCII_NoRegression`
— CJK byte-offset fix + ASCII regression
- `TestHierarchyTitleChunker_ColonTitlePromotion_CJK_EdgeCase` — CJK
colon edge case through full pipeline
- `TestHierarchyTitleChunker_ShortSingleCJKLineFilter` — single CJK char
filtered to body
- `TestHierarchyTitleChunker_ShortNumericLineFilter` — purely numeric
lines filtered
- `TestGetFileType_ImageExtensions` / `_ExistingFormats_NoRegression` —
image extension mapping
- `TestInjectExtractorLLMID_SkipWhenUUID` / `_SkipWhenComposite` /
`_InjectWhenEmpty` — llm_id injection guard
- `TestIsBareTenantModelID` — UUID detection
- `TestResolveExtractorChatTarget_AtSplitFallback` / `_NoDriver` — @
split fallback without DB
- `TestNewExtractorComponent_SysPromptAlias` / `_PromptsArray` /
`_PromptsArray_PromptWins` / `_SystemPromptWinsOverSysPrompt` — Python
key compatibility
- `TestBuildDOCXJSONSections_List` / `_TextBox` / `_MixedWithList` —
DOCX list/text_box parsing
- Full ingestion test suite passes (chunker, pipeline, task, service,
component packages)
## Summary
- Route ReAct graph step-limit errors through the Agent `_ERROR` output.
- Align the Go Agent default max rounds with Python by using five
rounds.
- Preserve cancellation, timeout, and configuration errors as real
failures.
## Testing
- `bash build.sh --test ./internal/agent/component/...`
<img width="2050" height="1409" alt="image"
src="https://github.com/user-attachments/assets/108e2d27-e115-4595-91a2-21f90c2531ae"
/>
### Summary
Most files in `docs/guides/agent/agent_component_reference/` are `.mdx`,
but `begin` and
`message` are `.md`. Four links use the `.mdx` extension for those two,
so Docusaurus cannot
resolve the reference and they render as broken links.
Co-authored-by: Muhammad Zuhaib Zahid <288755265+muhzuhaib@users.noreply.github.com>
### Summary
`tools/firecrawl/README.md` documents the integration as living in
`intergrations/firecrawl`,
Co-authored-by: Muhammad Zuhaib Zahid <288755265+muhzuhaib@users.noreply.github.com>
### What problem does this PR solve?
Closes#15872
On pages that contain both a textless equation and a figure, the layout
recognizer could merge the two unrelated regions into a single cropped
image with concatenated captions. This shows up most often on scientific
and technical PDFs.
The cause is a `layoutno` namespace collision in
`deepdoc/vision/layout_recognizer.py`. Text-overlapping boxes are tagged
per type by `findLayout`: figures become `figure-{ii}` using the
figure-only index, and equations become `equation-{ii}` using the
equation-only index. The fallback loop that handles textless regions,
however, indexes the combined figure plus equation list and always uses
a `figure` prefix.
Because the two paths use different index spaces and prefixes, a page
laid out as `[textless equation, figure with text]` produces two boxes
tagged `figure-0`. `_extract_table_figure` in
`deepdoc/parser/pdf_parser.py` buckets boxes by `f"{page}-{layoutno}"`,
so both fall into the same `page-figure-0` bucket, and `cropout`
stitches the disjoint regions into one image.
**Fix**
The fallback loop now iterates per type, indexes within each type's own
list, and reuses the type as the `layoutno` prefix (`figure-{i}` or
`equation-{i}`). This matches the namespace that `findLayout` already
assigns to text-overlapping boxes. Since the `visited` flag is shared by
reference, each layout is tagged by exactly one path, so per-type
indices stay collision free. Textless equations now land under
`equation-N`, consistent with text-overlapping equations, instead of the
old `figure-N`.
The same fix is applied to `AscendLayoutRecognizer`, which shared the
identical defect.
Downstream consumers of `layoutno` were checked and all treat it as an
opaque equality or bucketing key, so no other code paths are affected.
When a page has no equations, the combined index equals the figure-only
index and the output is unchanged.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
## Summary
- Register `TavilySearch` and `TavilyExtract` Canvas component names in
the Go Agent tool registry.
- Add regression coverage for building both tools by their Python
component names.
## Testing
- `bash build.sh --test ./internal/agent/tool/...`
- `bash build.sh --test ./internal/agent/component/...`
## Summary
Old `zhipuai==2.0.1` SDK (MetaGLM/zhipuai-sdk-python-v4) requires
`pyjwt~=2.8.0`, which blocks upgrading pyjwt past 2.8.0 to address
active CVEs. The upstream project now recommends the maintained
successor [`zai-sdk`](https://github.com/zai-org/z-ai-sdk-python).
`zai-sdk` relaxes the pyjwt constraint to `>=2.9.0,<3.0.0`, allowing
pyjwt 2.13.0+. The embedding API surface (`client.embeddings.create`) is
identical, no functional changes required.
Related CVE's:
- CVE-2026-48522
- CVE-2026-48524
- CVE-2026-48525
- CVE-2026-48526
- CVE-2026-32597
### Summary
As title:
Some operations on datasets have been fixed as they previously lacked
authentication, preventing team members from proper or correct usage.
---------
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
### Summary
As title
verif ied from CLI
```
RAGFlow(api/default)> asr with 'paraformer@test@funasr' audio './internal/test.wav' param '{"language": "en"}'
+----------------------------------------------------------------------------------------------------------------------+
| text |
+----------------------------------------------------------------------------------------------------------------------+
| The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. |
+----------------------------------------------------------------------------------------------------------------------+
```
---
<img width="2876" height="1377" alt="image"
src="https://github.com/user-attachments/assets/4cee62c6-1c71-43ce-b398-4d9fbff33c3c"
/>
```bash
INFO: 127.0.0.1:51910 - "POST /v1/audio/transcriptions HTTP/1.1" 200 OK██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 2.19it/s]
INFO: 127.0.0.1:60934 - "GET /v1/models HTTP/1.1" 200 OK%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 2.10it/s]
```
---------
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
