# Description of Changes
## What & why
Customers using ADFS (or any generic OIDC provider that doesn't emit
`email`) hit `Attribute value for 'email' cannot be null` during OAuth2
login with no visibility into what claims the provider actually sent.
The only available remedy was guessing at
`security.oauth2.useAsUsername` until something worked.
This PR adds a new opt-in `security.oauth2.debugLogging` flag (default
`false`). When enabled, `CustomOAuth2UserService` logs:
- All ID token claims (sorted, with values)
- All UserInfo endpoint claims (if any)
- The merged attribute key set Spring exposes to `getAttribute()`
- The value the configured `useAsUsername` actually resolved to
- A **`Hint:`** line listing the claim keys present in the token that
map to a valid `UsernameAttribute` enum value — i.e. exactly what the
operator could put in `useAsUsername` to make login work
Logged at `INFO` on the success path and `ERROR` on failure (inside the
existing `catch (IllegalArgumentException)` block that throws
`OAuth2AuthenticationException`). The block is wrapped with a `[OAUTH2
DEBUG] ... [/OAUTH2 DEBUG]` banner and ends with a PII warning so
operators don't leave it on in production.
Default off → zero observable change for anyone not actively
troubleshooting.
## Files changed
| File | Why |
|---|---|
| `app/common/.../ApplicationProperties.java` | New `debugLogging` field
on the `OAUTH2` config class with javadoc warning about PII |
| `app/core/src/main/resources/settings.yml.template` | Documents
`oauth2.debugLogging` so it appears on next startup |
| `app/proprietary/.../security/service/CustomOAuth2UserService.java` |
Emits the claim dump + suggestion hint when the flag is on |
|
`app/proprietary/.../security/service/CustomOAuth2UserServiceDebugLoggingTest.java`
(new) | Unit test: mocks the OIDC delegate, asserts off-path is silent
and on-path emits the dump with the right Hint contents |
## End-to-end verification
Ran the bundled `testing/compose/docker-compose-keycloak-oauth.yml`
Keycloak realm, configured `security.oauth2.useAsUsername: mail`
(Keycloak emits `email`, not `mail`) and `provider: demarest` (matches
the original customer bug report). Triggered the OAuth flow at
`http://localhost:8080/oauth2/authorization/demarest` and confirmed:
- The ERROR-level dump fires with the full 19-claim ID token decoded
- `-- Value at 'mail' : <NULL — this is why login fails>` correctly
identifies the missing claim
- `-- Hint:` correctly suggests `[email, family_name, given_name,
preferred_username]` (the four keys present that map to valid
`UsernameAttribute` values)
- Auth still fails with the original `OAuth2AuthenticationException` —
no change to control flow, just added diagnostic logging
Unit test (`CustomOAuth2UserServiceDebugLoggingTest`) covers both
branches.
## Reviewer notes
- **No new public APIs.** The flag is config-only; no servlet endpoints
exposed.
- **PII is logged when the flag is on.** This is the whole point —
operators need to see the claims to fix their config — but it's gated,
defaults off, and the dump self-documents with a `WARNING: ... Set
security.oauth2.debugLogging=false once troubleshooting is complete.`
footer.
- **Why log everything, not just sub/email?** Because the operator
doesn't know in advance which claim they actually want. ADFS uses `upn`
in some configs and `preferred_username` in others; Azure AD uses `oid`;
the customer here had neither. Dumping the full set is the only way to
make the diagnostic self-service.
- **Out of scope for this PR (follow-ups):**
- The `UsernameAttribute` enum doesn't include `upn` / `unique_name`
(common ADFS claims). If the customer's token only has `upn`, the Hint
will be empty even though the operator can see `upn` in the dump. Worth
a separate PR to extend the enum.
- The known-provider validator in `Provider.java` (rejects e.g.
`useAsUsername: mail` for `provider: keycloak` at startup) bypasses our
diagnostic for those provider names. ADFS customers using `provider:
<name>` fall into the `default` branch so are not affected — but it's a
sharp edge worth documenting.
---
## Checklist
### General
- [x] I have read the [Contribution
Guidelines](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/CONTRIBUTING.md)
- [x] I have read the [Stirling-PDF Developer
Guide](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/DeveloperGuide.md)
(if applicable)
- [ ] I have read the [How to add new languages to
Stirling-PDF](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/devGuide/HowToAddNewLanguage.md)
(if applicable) — N/A, backend-only change
- [x] I have performed a self-review of my own code
- [x] My changes generate no new warnings
### Documentation
- [ ] Doc-repo update (if functionality has heavily changed) —
diagnostic flag is self-documenting via the `settings.yml.template`
comment and the in-log warning; happy to add a doc-repo entry if
reviewers want one
- [ ] Translation tags — N/A
### UI Changes (if applicable)
- [ ] N/A — backend-only
### Testing (if applicable)
- [x] Unit test added (`CustomOAuth2UserServiceDebugLoggingTest`)
covering on/off paths and Hint correctness
- [x] End-to-end verified locally against bundled Keycloak compose with
intentionally misconfigured `useAsUsername`
- [x] Full `:proprietary:test` suite passes
# Description of Changes
Give Edit Agent access to descriptions of the request from the Java API.
This opens the door to us better documenting our Java APIs to give the
stirling engine better knowledge of what the various tools are and how
to use them.
Also improves the tool selection sub-agent to get the tool parameters
and descriptions so it can more intelligently decide which operations
should be used to fulfil the user's request. Also provides it more
encouragement to string together multiple operations if necessary.
# Description of Changes
Adds storage in the database for full document content alongside the RAG
content (and changes the service to `DocumentService` instead of
`RagService`). Then adds a generic capability that should be usable by
any agent (currently just used by the Question Agent) which allows the
agent to pull out the full contents of the doc, chunks it into various
sections that will fit in the context window, and then processes them in
parallel to create an intermediate result, and then processes the
intermediate result into a final answer. It will re-chunk as many times
as necessary to get the content small enough for the actual answer to be
analysed (I've tested on PDFs ~3500 pages long, which is well above the
context limit and requires maybe 3 rounds of compression to get an
answer).
The new full doc analysis stuff is heavier than the RAG lookup so both
remain. The agents should use RAG for targeted info and the chunked
reasoner for info that requires reading the full doc.
Auto-generated by stirlingbot[bot]
This PR updates the backend license report based on dependency changes.
---------
Signed-off-by: stirlingbot[bot] <stirlingbot[bot]@users.noreply.github.com>
Co-authored-by: stirlingbot[bot] <195170888+stirlingbot[bot]@users.noreply.github.com>
Co-authored-by: Anthony Stirling <[email protected]>
## Description
Consolidates Playwright running under cohesive Task namespaces, isolates
Playwright state from the developer's local working tree, and swaps CI's
frontend webserver from `vite` dev to `vite preview` against a pre-built
`dist/`.
### `e2e:*` namespace
Renames `.taskfiles/testing.yml` to `.taskfiles/e2e.yml` and
consolidates everything Playwright-related under one `e2e:` namespace:
- `e2e:stubbed` / `e2e:live` / `e2e:enterprise` / `e2e:cross-browser`:
project-specific runners
- `e2e:check` (no-Docker subset) and `e2e:check:all` (full)
- `e2e:oauth:up` / `:down`, `e2e:saml:up` / `:down`: symmetric lifecycle
for the keycloak compose stacks
- `e2e:install`: Playwright browser install
- `docker:test`: full Docker integration suite
The redundant `frontend:test:e2e:*` project shortcuts are removed. CI
workflows (`e2e-stubbed.yml`, `e2e-live.yml`, `build-enterprise.yml`,
`nightly.yml`) are updated to call the new task names.
### Isolated Playwright state
New `STIRLING_BASE_PATH` (and `-Dstirling.base-path=`) override in
`InstallationPathConfig` redirects the entire state tree (configs,
backups, customFiles, pipeline, logs) at startup. `task e2e:live` points
it at `.test-state/playwright/` (purged on every invocation) so the
suite never touches the developer's local DB, settings.yml or backups.
`task e2e:live` auto-spawns gradle, waits for `/api/v1/info/status` to
come up, runs Playwright, then tears down the whole backend process
tree.
### CI runs Playwright against `vite preview`
Builds the frontend up-front with `VITE_BUILD_FOR_PREVIEW=1` (forces
absolute base so deep SPA routes resolve `/assets/...`) and the
playwright `webServer` now uses `vite preview --port 5173 --strictPort`
in CI. Avoids the per-page on-demand transform cost that was blowing the
30s navigation timeout under `--workers=3` on
`all-tool-pages-load.spec.ts`. Local dev keeps `vite` dev for HMR.
### OAuth/SAML compose helpers
`start-oauth-test.sh` and `start-saml-test.sh` gain a `--license-key
<KEY>` (`-k`) flag so CI and scripted runs can skip the interactive
license prompt. `start-oauth-test.sh` also moves from `for arg in "$@"`
to a `while`-with-`shift` arg loop to support multi-arg flags
consistently with the SAML script.
### Backend gradlew unification
Drops the per-platform `cmd /c gradlew.bat` branches from `backend.yml`
and routes every gradle invocation through `bash gradlew`. Works
uniformly on Linux/macOS and Windows-with-Git-Bash.
### Compare.tsx flake fix (re-land of
[#6316](https://github.com/Stirling-Tools/Stirling-PDF/pull/6316))
Piggybacks Anthony's never-merged fix from #6316. Without it,
`e2e:stubbed` continues to flake under `--workers=3` on
`compare.spec.ts`'s second-upload case via a React "Maximum update depth
exceeded" infinite loop in the Compare auto-fill effect. CI traces from
recent failed runs match exactly; 10 local runs of `compare.spec.ts`
with `CI=1 --workers=3` pass cleanly with the fix applied.
---------
Co-authored-by: James Brunton <[email protected]>
# Description of Changes
Hooks up the (alpha) PDF Editor backend to the AI engine Edit Agent via
an intermediary API which is easier for the agent to call. It suffers
from all the same issues that the PDF Editor does in actually editing
the text, but should also benefit from any fixes to that.
It also adds protection against the underlying tools misbehaving by
hanging, and fixes a hanging bug in the PDF Editor.
---------
Co-authored-by: EthanHealy01 <[email protected]>
Bumps commons-io:commons-io from 2.21.0 to 2.22.0.
[](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)
Dependabot will resolve any conflicts with this PR as long as you don't
alter it yourself. You can also trigger a rebase manually by commenting
`@dependabot rebase`.
[//]: # (dependabot-automerge-start)
[//]: # (dependabot-automerge-end)
---
<details>
<summary>Dependabot commands and options</summary>
<br />
You can trigger Dependabot actions by commenting on this PR:
- `@dependabot rebase` will rebase this PR
- `@dependabot recreate` will recreate this PR, overwriting any edits
that have been made to it
- `@dependabot show <dependency name> ignore conditions` will show all
of the ignore conditions of the specified dependency
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Dependabot creating any more for this major version (unless you reopen
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Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
# Description of Changes
Have the Java send a list of enabled endpoints to the AI engine so it
can intelligently respond to the user that the tool does exist but is
disabled on the server so it can't acutally run the operation, instead
of the current behaviour where it sends the API call back and then 503
errors because the execution fails when the URL is disabled.
<img width="380" height="208" alt="image"
src="https://github.com/user-attachments/assets/5842fb2e-2e55-45a5-8205-25515636daae"
/>
---------
Co-authored-by: EthanHealy01 <[email protected]>
# Description of Changes
Flesh out the RAG system and connect it to the PDF Question Agent so it
can respond to questions about PDFs of an extremely large size.
I'd expect lots more work will need to be done to finish off the RAG
system to really be what we need, but this should be a reasonable start
which will let us connect it to tools and have the ingestion mostly
handled automatically. I'm leaving file deletion and proper file ID
management to be done in a future PR. We also need to consider whether
all tools should retrieve content exclusively via RAG, or whether it's
beneficial to have tools sometimes fetch the direct content and other
times fetch it from RAG.
A diagram of the expected interaction is as follows:
```mermaid
sequenceDiagram
autonumber
actor U as User
participant FE as Frontend<br/>(ChatPanel)
participant J as Java<br/>(AiWorkflowService)
participant O as Engine:<br/>OrchestratorAgent
participant QA as Engine:<br/>PdfQuestionAgent
participant RAG as Engine:<br/>RagService + SqliteVecStore
participant V as VoyageAI<br/>(embeddings)
participant L as LLM<br/>(Claude / etc.)
U->>FE: types "Summarise this PDF"<br/>(PDF already uploaded)
FE->>J: POST /api/v1/ai/orchestrate/stream<br/>multipart: fileInputs[], userMessage
Note over J: ByteHashFileIdStrategy<br/>id = sha256(bytes)[:16]
J->>O: POST /api/v1/orchestrator<br/>{ files:[{id,name}], userMessage }
O->>L: route via fast model
L-->>O: delegate_pdf_question
O->>QA: PdfQuestionRequest
loop for each file
QA->>RAG: has_collection(file.id)
RAG-->>QA: false
end
QA-->>O: NeedIngestResponse(files_to_ingest)
O-->>J: { outcome:"need_ingest", filesToIngest:[...] }
Note over J: onNeedIngest
loop per file
J->>J: PDFBox: extract page text
J->>O: POST /api/v1/rag/documents<br/>(long-running timeout)
O->>RAG: chunk + stage documents
O->>V: embed_documents (batches of 256)
V-->>O: embeddings
O->>RAG: add_documents
O-->>J: { chunks_indexed: N }
end
Note over J: retry with resumeWith=pdf_question
J->>O: POST /api/v1/orchestrator
Note over O: fast-path to PdfQuestionAgent
O->>QA: PdfQuestionRequest
Note over QA: build RagCapability<br/>pinned to file IDs
QA->>L: run(prompt) with search_knowledge tool
loop up to max_searches
L->>QA: search_knowledge(query)
QA->>V: embed_query
V-->>QA: query vector
QA->>RAG: search(vector, collections=[file.id])
RAG-->>QA: top-k chunks
QA-->>L: formatted chunks
end
Note over QA: once budget spent,<br/>prepare() hides the tool
L-->>QA: PdfQuestionAnswerResponse
QA-->>O: answer
O-->>J: { outcome:"answer", answer, evidence }
J-->>FE: SSE "result"
FE->>U: assistant bubble
```
# Description of Changes
Fixes share-link navigation for SSO users. Reported on v2.9.2 with
`SSOAutoLogin: true`: clicking a `/share/<token>` link in an email
redirected the user to the home page after SSO instead of the shared
file.
## Root cause
Three compounding issues had to be fixed together; the first was the
initial symptom but the other two only surfaced during live
verification.
1. **Spring Security blocked `/share/<token>` for unauthenticated
users.** The route wasn't in `RequestUriUtils.isPublicAuthEndpoint`, so
the server 302'd straight to `/login` before React could load
`ShareLinkPage`. The share URL was lost because `NullRequestCache` is
configured and never persisted the original destination.
2. **`httpErrorHandler` full-page-redirected to `/login?from=<path>` on
any unhandled 401** (fired by `LicenseContext`, `AppConfig`, etc. during
normal ShareLinkPage mount). That *did* preserve the return path — but
**Spring Security strips query strings from `/login`** (302 to bare
`/login`), so `?from=` never reached React. Confirmed via `curl -i
http://localhost:8080/login?from=xyz` → `Location: /login`.
3. **`AuthCallback.tsx` unconditionally `navigate("/")`** after the
SAML/OAuth round-trip, discarding any intended destination.
## Fix
**Backend** — make `/share/<token>` a public SPA bootstrap, data APIs
stay protected:
- `RequestUriUtils.isPublicAuthEndpoint` — permits `^/share/[^/]+/?$`
(tight regex, single token segment only; `/share/<token>/anything` stays
protected).
- `ReactRoutingController` — dedicated `@GetMapping("/share/{token}")`
mirroring `/auth/callback`.
- `/api/v1/storage/share-links/**` remains behind Spring Security with
its existing `canAccessShareLink` check.
**Frontend** — persist the return path across full-page redirects via
`sessionStorage` (same-origin, survives the SSO round-trip):
- `httpErrorHandler.ts` — stashes current pathname to
`stirling_post_login_path` before the 401 → `/login` redirect.
- `springAuthClient.ts` — new `isSafePostLoginRedirect` /
`setPostLoginRedirectPath` / `consumePostLoginRedirectPath` helpers
(rejects protocol-relative URLs and auth-plumbing paths to guard against
open-redirect abuse).
- `Login.tsx` — on explicit user sign-in, read path from
`location.state` or `?from=` query and stash it; don't clobber an
already-stashed value.
- `AuthCallback.tsx` — consume the stashed path (single-use) and
`navigate(target)` instead of always `/`.
---
## Checklist
### General
- [ ] I have read the [Contribution
Guidelines](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/CONTRIBUTING.md)
- [ ] I have read the [Stirling-PDF Developer
Guide](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/DeveloperGuide.md)
(if applicable)
- [ ] I have read the [How to add new languages to
Stirling-PDF](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/devGuide/HowToAddNewLanguage.md)
(if applicable)
- [ ] I have performed a self-review of my own code
- [ ] My changes generate no new warnings
### Documentation
- [ ] I have updated relevant docs on [Stirling-PDF's doc
repo](https://github.com/Stirling-Tools/Stirling-Tools.github.io/blob/main/docs/)
(if functionality has heavily changed)
- [ ] I have read the section [Add New Translation
Tags](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/devGuide/HowToAddNewLanguage.md#add-new-translation-tags)
(for new translation tags only)
### Translations (if applicable)
- [ ] I ran
[`scripts/counter_translation.py`](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/docs/counter_translation.md)
### UI Changes (if applicable)
- [ ] Screenshots or videos demonstrating the UI changes are attached
(e.g., as comments or direct attachments in the PR)
### Testing (if applicable)
- [ ] I have run `task check` to verify linters, typechecks, and tests
pass
- [ ] I have tested my changes locally. Refer to the [Testing
Guide](https://github.com/Stirling-Tools/Stirling-PDF/blob/main/DeveloperGuide.md#7-testing)
for more details.
---------
Co-authored-by: EthanHealy01 <[email protected]>
# Description of Changes
Adds the ability for the Edit agent to request the content of the
document before it decides which parameters it needs. This makes it able
to process requests like `Split the document after the page containing
the "My Section" section`, allowing for document context-based requests
for all[^1] tools.
I had to make a few changes elsewhere to make this work, including:
- Moving the requesting of content out of the Question Agent and into a
common location
- Added specific API docs for the Split param because the generic ones
were not specific enough for the AI to be able to reliably perform the
correct operation
- Fixed an issue in the tool models generator which caused the Redact
params to only be half-generated (causing Pydantic to crash when the AI
tried to run Redact)
- Added missing logging to a bunch of tools and hooked it up properly so
it'll print to stderr
- Made the limits for the max pages/chars to extract from PDFs
configurable via env var
[^1]: Many of the tools can't actually do anything useful with the
context at this stage, but will just need the tool API to be extended
with new features like page-specific operations to be automatically able
to do smart operations without needing to change the Edit agent itself.
# Description of Changes
Add an extra parameter to every agent to receive the conversation
history in addition to the current message. This will make it possible
to answer followup questions from the AI without needing to give full
context in your message.
# Description of Changes
Redesign AI engine so that it autogenerates the `tool_models.py` file
from the OpenAPI spec so the Python has access to the Java API
parameters and the full list of Java tools that it can run. CI ensures
that whenever someone modifies a tool endpoint that the AI enigne tool
models get updated as well (the dev gets told to run `task
engine:tool-models`).
There's loads of advantages to having the Java be the one that actually
executes the tools, rather than the frontend as it was previously set up
to theoretically use:
- The AI gets much better descriptions of the params from the API docs
- It'll be usable headless in the future so a Java daemon could run to
execute ops on files in a folder without the need for the UI to run
- The Java already has all the logic it needs to execute the tools
- We don't need to parse the TypeScript to find the API (which is hard
because the TS wasn't designed to be computer-read to extract the API)
I've also hooked up the prototype frontend to ensure it's working
properly, and have built it in a way that all the tool names can be
translated properly, which was always an issue with previous prototypes
of this.
---------
Co-authored-by: Anthony Stirling <[email protected]>
Co-authored-by: EthanHealy01 <[email protected]>
# Description of Changes
Adds a streaming endpoint to the Java AI orchestrator
(`/api/v1/ai/orchestrate/stream` in addition to the existing
`/api/v1/ai/orchestrate`). This allows the caller to get updates of what
stage of orchestration is being run at the time so UIs can give the user
feedback.
Also contains some dubious Gradle changes to suppress errors coming from
Spotless, when it crashes in Google stuff. I'm not sure if that's
appropriate to add, feel free to ask for changes in review.
## Add Taskfile for unified dev workflow
### Summary
- Introduces [Taskfile](https://taskfile.dev/) as the single CLI entry
point for all development workflows across backend, frontend, engine,
Docker, and desktop
- ~80 tasks organized into 6 namespaces: `backend:`, `frontend:`,
`engine:`, `docker:`, `desktop:`, plus root-level composites
- All CI workflows migrated to use Task
- Deletes `engine/Makefile` and `scripts/build-tauri-jlink.{sh,bat}` —
replaced by Task equivalents
- Removes redundant npm scripts (`dev`, `build`, `prep`, `lint`, `test`,
`typecheck:all`) from `package.json`
- Smart dependency caching: `sources`/`status`/`generates`
fingerprinting, CI-aware `npm ci` vs `npm install`, `run: once` for
parallel dep deduplication
### What this does NOT do
- Does not replace Gradle, npm, or Docker — Taskfile is a thin
orchestration wrapper
- Does not change application code or behavior
### Install
```
npm install -g @go-task/cli # or: brew install go-task, winget install Task.Task
```
### Quick start
```
task --list # discover all tasks
task install # install all deps
task dev # start backend + frontend
task dev:all # also start AI engine
task test # run all tests
task check # quick quality gate (local dev)
task check:all # full CI quality gate
```
### Test plan
- [ ] Install `task` CLI and run `task --list` — verify all tasks
display
- [ ] Run `task install` — verify frontend + engine deps install
- [ ] Run `task dev` — verify backend + frontend start, Ctrl+C exits
cleanly
- [ ] Run `task frontend:check` — verify typecheck + lint + test pass
- [ ] Run `task desktop:dev` — verify jlink builds are cached on second
run
- [ ] Verify CI passes on all workflows
---------
Co-authored-by: James Brunton <[email protected]>
Anthony StirlingandGitHub
ConnorYohandGitHub
Reece BrowneandGitHub
dependabot[bot]andGitHub
James BruntonandGitHub
LudyandGitHub