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218 commits
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030dc98a1d
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☁️ fix: Enable Azure Agent Provider Uploads (#13045) | ||
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d90567204e
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🛟 fix: persist Vertex Gemini 3 thoughtSignatures across DB round-trips (#13026)
When a tool round-trip is interrupted between the tool result and the
model's text reply (user aborted, network drop, pod restart, ...) and
LibreChat persists the partial assistant message, the next conversation
turn reconstructs an `AIMessage` from `formatAgentMessages` that has
`tool_calls` populated but no `additional_kwargs.signatures`. Vertex
Gemini 3 rejects the resumed request with 400 because the most recent
historical functionCall has no `thought_signature`.
## Storage shape
Capture as `Record<tool_call_id, signature>` rather than a flat array.
This addresses the codex P1 review:
> When an assistant turn contains multiple sequential tool-call batches,
> this restoration path writes all persisted thoughtSignatures onto only
> the last tool-bearing AIMessage. Vertex/Gemini validates signatures
> for each step in the current tool-calling turn, so earlier
> functionCall steps reconstructed without their signature can still
> fail with 400.
A single agent run can fire multiple `chat_model_end` events when the
loop cycles the LLM with intervening tool results — each cycle owns a
distinct `tool_call_id`. Per-id storage maps each signature back onto
the right reconstructed `AIMessage`, not just the last one.
## Mapping
`additional_kwargs.signatures` is a flat array indexed by *response part*
(text + functionCall interleaved). `tool_calls` is just the function
calls in their original order. Non-empty signatures correspond 1:1 with
tool_calls in order — see `partsToSignatures` in
`@langchain/google-common`. Single-pass walk maps `signatures[i]` (when
non-empty) onto the i-th `tool_call.id`.
## Pipeline
| Stage | File | Change |
|---|---|---|
| Capture | callbacks.js | `ModelEndHandler` accepts `Record<string,string>` map; walks signatures + tool_calls in tandem to record per-id. Gated on the map being provided — non-Vertex flows are no-op (and also no-op even when provided, since they don't emit signatures). |
| Plumbing | initialize.js | Allocate `collectedThoughtSignatures = {}`, share with handler + client. Always allocated; the JSDoc explicitly documents that it stays empty for non-Vertex providers. |
| Surface | client.js | `sendCompletion` returns `metadata.thoughtSignatures` when the map has entries; falls through unchanged when empty. |
| Persist | (existing BaseClient.handleRespCompletion) | Writes `metadata` from `sendCompletion` onto `responseMessage.metadata`. Mongoose `Mixed` — no migration. |
| Restore | formatMessages.js | Track every tool-bearing AIMessage produced from a TMessage. For each, build a position-aligned `additional_kwargs.signatures` array (empty placeholders for tool_calls without a stored sig). Agents' `fixThoughtSignatures` dispatches non-empty entries to functionCall parts in order. |
## Live verification
- **Single-step:** real Vertex `gemini-3.1-flash-lite-preview` resume-after-tool case. With fix ✅ / without ❌ 400.
- **Multi-step (codex case):** real two-step agent loop (list /tmp → echo done). Each step's signature attaches to its own reconstructed AIMessage. With fix ✅ / without ❌ 400.
- **Cross-provider:** Anthropic Claude haiku-4.5 + OpenAI gpt-5-mini accept the persisted/restored shape unchanged.
## Tests
`modelEndHandler.spec.js` (new) — 6 tests:
- maps non-empty signatures onto tool_call_ids in order
- accumulates per-id across multiple `model_end` events (multi-step)
- no-op when `collectedThoughtSignatures` is null
- no-op when `signatures` field missing (non-Vertex)
- no-op when `tool_calls` missing
- preserves existing `collectedUsage` array contract
`formatAgentMessages.spec.js` — 6 new tests:
- restores onto the AIMessage that owns the tool_call
- per-step attachment for multi-step turns (codex review case)
- preserves tool_call ordering when signatures are partial
- no-op when metadata.thoughtSignatures absent
- no-op when assistant has no tool_calls
- no-op when stored ids don't match any current tool_call
37 passing across 3 suites; 15 existing formatAgentMessages tests unchanged.
## Compatibility
- Backward-compatible — restore gated on `metadata.thoughtSignatures` being a populated object; capture gated on the map being provided.
- No schema migration — uses `Message.metadata: Mixed` already in place.
- Cross-provider safe — non-Vertex providers tolerate the field (verified live against Anthropic + OpenAI converters).
- Pairs with [agents#159](https://github.com/danny-avila/agents/pull/159) for full coverage on histories that mix plain-text and toolcall AIMessages.
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93c4ef4ba8
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🧱 refactor: typed CodeEnvRef + kind discriminator + principal-aware sandbox cache (#12960)
* 🧱 refactor: typed CodeEnvRef + kind discriminator + tenant-aware sandbox cache Final cutover for the LibreChat ↔ codeapi sandbox file identity. Replaces the magic string `${session_id}/${file_id}?entity_id=...` with a typed, discriminated `CodeEnvRef`. Pre-release lockstep deploy with codeapi #1455 and agents #148; no legacy aliases retained. ## Final shape ```ts type CodeEnvRef = | { kind: 'skill'; id: string; storage_session_id: string; file_id: string; version: number } | { kind: 'agent'; id: string; storage_session_id: string; file_id: string } | { kind: 'user'; id: string; storage_session_id: string; file_id: string }; ``` `kind` drives codeapi's sessionKey: `<tenant>:<kind>:<id>[✌️<version>]` for shared kinds, `<tenant>:user:<userId>` for user-private (auth context provides `userId`). `version` is statically required for `kind: 'skill'` and forbidden otherwise via discriminated union — constraint holds at compile time on every consumer, not just codeapi's runtime validator. `id` is sessionKey-meaningful for `'skill'` / `'agent'`; informational only for `'user'` (codeapi resolves user identity from auth context). ## What changed - `packages/data-provider/src/codeEnvRef.ts` — discriminated union + `CODE_ENV_KINDS` const-tuple keeps the runtime list and TS union locked together. - Schemas: `metadata.codeEnvRef` and `SkillFile.codeEnvRef` enums tightened to `['skill', 'agent', 'user']`. - `primeSkillFiles` writes `kind: 'skill'`, `id: skill._id`, `version: skill.version`. Cache-hit path reads `codeEnvRef` directly. Bumping `skill.version` on edit naturally invalidates the prior cache entry under the new sessionKey. - `processCodeOutput` writes `kind: 'user'`, `id: req.user.id`. Output bucket is always user-scoped, regardless of which skill the execution invoked. New regression test pins the asymmetry. - `primeFiles` reupload preserves `kind`/`id`/`version?` from the existing ref so a skill-cache-miss reupload doesn't silently demote to user bucket. - `crud.js` upload functions (`uploadCodeEnvFile` / `batchUploadCodeEnvFiles`) thread `kind`/`id`/`version?` to the multipart form (codeapi #1455 option α). Without these on the wire, codeapi falls back to user bucketing and skill-cache invalidation never fires. Client-side validation mirrors codeapi's validator. - `Files/process.js` — chat attachments use `kind: 'user'`; agent setup files use `kind: 'agent'`. - Drops `entity_id` everywhere (struct, schema sub-docs, write paths, upload form fields). Drops `'system'` from the kind enum (no emitter ever existed). ## Test plan - [x] `cd packages/data-provider && npx jest src/codeEnvRef.spec` — 4 / 4 - [x] `cd packages/data-schemas && npx jest` — 1447 / 1447 - [x] `cd packages/api && npx jest src/agents` — 81 / 81 in skillFiles + handlers + resources - [x] `cd api && npx jest server/services/Files server/controllers/agents` — 436 / 436 - [x] `cd api && npx jest server/services/Files/Code` — 98 / 98 (incl. new "outputs are user-scoped regardless of which skill the execution invoked" regression and "reupload forwards kind/id/version from existing ref") - [x] `npx tsc --noEmit -p packages/data-{provider,schemas}/tsconfig.json && npx tsc --noEmit -p packages/api/tsconfig.json` — clean (only pre-existing unrelated dev errors in storage/balance, untouched here) ## Deploy notes - **24h cache-miss burst** on first deploy. Inputs (skill caches re-prime under new sessionKey shape) and outputs (any pre-Phase C skill-output cached files become unreadable). Bounded by codeapi's 24h TTL. - **Lockstep with codeapi #1455 and agents #148.** Either repo can land first since no aliases to drain, but the three deploys must overlap within the same maintenance window. - **`@librechat/agents` bump to `3.1.79-dev.0`** required after agents #148 lands and is published. ## What this enables Auth bridge work (JWT-based tenant/user identity between LC and codeapi) — codeapi now derives sessionKey purely from `req.codeApiAuthContext.{ tenantId, userId}`, so the next chapter is replacing the header-asserted user identity with a verified-claim path. * 🩹 fix: persist execute_code uploads under codeEnvRef metadata key Codex review P1 (chatgpt-codex-connector). `Files/process.js` was storing the upload result under `metadata.fileIdentifier` even though: - `uploadCodeEnvFile` now returns `{ storage_session_id, file_id }`, not the legacy magic string. - The post-cutover schema (`File.metadata.codeEnvRef`) only declares `codeEnvRef` — mongoose strict mode silently strips unknown keys. - All readers (`primeFiles`, `getCodeFilesByIds`, `categorizeFileForToolResources`, controller filtering) check `metadata.codeEnvRef`. Net effect of the bug: chat-attached and agent-setup execute_code files would lose their sandbox reference on save, and primeFiles would skip them on subsequent code-execution turns — the file blob would still be available locally but never re-mounted in the sandbox. Fix: construct the full `CodeEnvRef` (`{ kind, id, storage_session_id, file_id }`) at the write site and persist under `metadata.codeEnvRef`. `BaseClient`'s "is this a code-env file" presence check accepts the new shape alongside the legacy `fileIdentifier` for back-compat with any pre-cutover records still in the database. Mirrors the same change in `processAttachments.spec.ts` (which re-implements the BaseClient logic for testability). New regression tests in `process.spec.js` cover three cases: - chat attachments (`messageAttachment=true`) → `kind: 'user'` - agent setup (`messageAttachment=false`) → `kind: 'agent'` - legacy `fileIdentifier` key is NOT persisted (would be schema-stripped) * 🩹 fix: read storage_session_id on primed file refs (Codex P1) Codex review (chatgpt-codex-connector). After Phase B's per-file `session_id` → `storage_session_id` rename, `primeFiles` emits the new field — but `seedCodeFilesIntoSessions` was still reading `files[0].session_id` for the representative session and `f.session_id` for the dedupe key. In runs with only primed attachments (no skill seed), `representativeSessionId` was `undefined`, the function returned the unchanged map, and `seedCodeFilesIntoSessions` silently dropped the entire batch. The first `execute_code` call then started without `_injected_files` and the agent couldn't see prior-turn artifacts. Fix: - `codeFilesSession.ts`: read `f.storage_session_id` for both the dedupe key and the representative session id. JSDoc updated to match the new field name. - `callbacks.js`: the two output-file persistence paths read `file.session_id` to pass to `processCodeOutput` — switch to `file.storage_session_id`. The original comment explicitly says this should be the STORAGE session, which is exactly the field Phase B renamed. - `codeFilesSession.spec.ts`: fixture builder uses `storage_session_id` and `kind: 'user'` to match the post-cutover `CodeEnvFile` shape. Lockstep coordination: this matches the post-bump shape of `@librechat/agents` 3.1.79+. CI tsc errors against the currently-pinned 3.1.78 are expected and resolve when the dep bumps in this PR before merge. * 📦 chore: Bump `@librechat/agents` to version 3.1.80-dev.0 in package-lock and package.json files * 🪪 fix: thread kind/id/version through codeapi /download URLs (Phase C α) Symmetric fix for the upload-side wire change in 537725a. Codeapi's `sessionAuth` middleware now requires `kind`/`id`/`version?` on every download/freshness URL — without them it 400s with "kind must be one of: skill, agent, user" before serving the file. Three sites construct codeapi-side URLs that go through `sessionAuth`: - `processCodeOutput` (`Files/Code/process.js`): `/download/<sess>/<id>` for freshly-generated sandbox outputs. Always `kind: 'user'` + `id: req.user.id` — code-output files are always user-private, regardless of which skill the run invoked. - `getSessionInfo` (`Files/Code/process.js`): `/sessions/<sess>/objects/<id>` for the 23h freshness check. Pulls kind/id/version straight off the `codeEnvRef` already in scope — skill files stay skill-bucketed, user files stay user-bucketed. - `/code/download/:session_id/:fileId` LC route (`routes/files/files.js`): proxies to codeapi for manual downloads. Code-output files only on this route, so `kind: 'user'` + `id: req.user.id`. The `getCodeOutputDownloadStream` helper in `crud.js` now takes an `identity` param, validated by a `buildCodeEnvDownloadQuery` helper that mirrors `appendCodeEnvFileIdentity`'s shape rules: kind required from the closed `{skill, agent, user}` set, version required for 'skill' and forbidden otherwise. Bad callers fail fast on the client instead of round-tripping a 400. Also cleans up two log-noise sources reported alongside the 400: - `logAxiosError` in `packages/api/src/utils/axios.ts` was dumping `error.response.data` raw. With `responseType: 'arraybuffer'` that's a `Buffer` (~4 chars per byte after JSON-serialization); with `responseType: 'stream'` it's a `Readable` whose internal state serializes the entire ring buffer + socket. New `renderResponseData` decodes small buffers as UTF-8 (truncated past 2KB) and stubs streams as `'[stream]'`. Diagnostics stay useful, log lines stop being megabytes. - `/code/download` route's catch was bare `logger.error('...', error)`, bypassing the redactor. Switched to `logAxiosError` so it benefits from the same buffer/stream handling. Tests updated to match the new contract: - crud.spec: `getCodeOutputDownloadStream` fixtures pass `userIdentity`; new cases cover skill identity (with version), bad kind rejection, skill-without-version rejection. - process.spec: `getSessionInfo` test passes a full `codeEnvRef` object. * ♻️ refactor: extract codeEnv identity helpers into packages/api Per the project convention that new backend code lives in TypeScript under `packages/api`, moves `appendCodeEnvFileIdentity` and `buildCodeEnvDownloadQuery` from `api/server/services/Files/Code/crud.js` into a new `packages/api/src/files/code/identity.ts` module. Both helpers are pure validators that mirror codeapi's `parseUploadSessionKeyInput` server-side rules (closed kind set, `version` required for `'skill'` and forbidden otherwise) — they deserve TS support and a dedicated spec rather than living as JSDoc-typed helpers in the legacy `/api` workspace. The new module: - Exports a `CodeEnvIdentity` interface using the `librechat-data-provider` `CodeEnvKind` discriminated union. - Adds 13 unit tests in `identity.spec.ts` covering the validation matrix (skill+version, agent, user, and every rejection path) plus URL encoding for the download query. - Re-exported from `packages/api/src/files/code/index.ts` alongside `classify`, `extract`, and `form`. Consumer updates: - `api/server/services/Files/Code/crud.js`: drops the local helpers and imports them from `@librechat/api`. Net -64 lines. - `api/server/services/Files/Code/process.js`: same. - Test mocks for `@librechat/api` in three spec files now stub the helpers' validation behavior locally rather than pulling them through `requireActual` (which would drag in provider-config init-time side effects). The package's `exports` field only surfaces the root barrel, so leaf imports aren't reachable from legacy `/api` test setup. No runtime behavior change. Identity validation rules and emitted form/query shapes are byte-for-byte identical pre/post. * 🪪 fix: emit resource_id alongside id on _injected_files (skill 403 fix) Companion to codeapi #1455 fix and agents 3.1.80-dev.1 — the wire shape for shared-kind files now requires `resource_id` distinct from the storage `id`. Without this LC change, codeapi's sessionKey re-derivation on every shared-kind /exec rejects with 403 session_key_mismatch: cached: legacy:skill:69dcf561...✌️59 (signed at upload, skill _id) derived: legacy:skill:ysPwEURuPk-...✌️59 (storage nanoid) Emit sites updated: - `primeInvokedSkills` cache-hit path: `resource_id: ref.id` (the persisted skill `_id` from `codeEnvRef.id`); `id: ref.file_id` unchanged (storage uuid). - `primeInvokedSkills` fresh-upload path: `resource_id: skill._id.toString()` on every primed file (the `allPrimedFiles` builder type now carries the field). - `processCodeOutput`'s `pushFile` (Code/process.js): `resource_id: ref.id` — for `kind: 'user'` this is informational (codeapi derives sessionKey from auth context) but emitted for shape uniformity with shared kinds. Bumps `@librechat/agents` to `^3.1.80-dev.1` (the version that ships the matching `CodeEnvFile.resource_id` field). ## Test plan - [x] `cd packages/api && npx jest src/agents` — 67 / 67 pass (skillFiles fixtures updated to assert `resource_id` on the emitted CodeSessionContext.files). - [x] `cd api && npx jest server/services/Files server/controllers/agents` — 445 / 445 pass (process.spec fixtures updated for the reupload + cache-hit emission). - [x] `npx tsc --noEmit -p packages/api/tsconfig.json` — clean. * fix(skill-tool-call): carry resource_id through primeSkillFiles → artifact Codeapi was 400ing every /exec following a `handle_skill` tool call with `resource_id is invalid` (`type: 'undefined'`). Both code paths in `primeSkillFiles` (cache-hit + fresh-upload) returned files without `resource_id`/`kind`/`version`, and the artifact in `handlers.ts` forwarded the stripped shape into `tc.codeSessionContext.files` → `_injected_files`. `primeInvokedSkills` (the NL-detected loader) had already been fixed end-to-end; this commit aligns the tool-invoked path with the same contract: `resource_id` = `skill._id.toString()`, `kind: 'skill'`, `version` = the skill's monotonic counter. Tests added to `skillFiles.spec.ts` lock the contract on `primeSkillFiles` directly so future refactors can't silently drop the resource identity again. * fix(handlers.spec): align session_id → storage_session_id rename + kind discriminator Pre-existing TS errors against the post-rename `CodeEnvFile` shape: the test file still used `session_id` on per-file objects (renamed to `storage_session_id` in agents Phase B/C) and was missing the `kind` discriminator the discriminated union requires. Both inputs and the matching `expect.toEqual(...)` mirrors updated together so the runtime equality check still holds. Lines 723-732 stay as-is — they sit behind `as unknown as ToolCallRequest` and TS already skipped them. * chore: fix `@librechat/agents`, correct version to 3.1.80-dev.0 in package.json files * chore: bump `@librechat/agents` to version 3.1.80-dev.1 in package.json and package-lock.json * chore: bump `@librechat/agents` to version 3.1.80-dev.2 * feat(observability): trace file priming chain from primeCodeFiles to _injected_files Diagnosing the user-upload "files=[] on first /exec" bug requires seeing where in the LC chain a file ref disappears. Prior to this patch the chain (primeCodeFiles → primedCodeFiles → initialSessions → CodeSessionContext → _injected_files) was opaque end-to-end: - primeCodeFiles silently dropped files without `metadata.codeEnvRef` - reuploadFile catches all errors and continues with no signal - the handlers.ts handoff to codeapi never logged what it was sending After this patch, a single grep on `[primeCodeFiles]` plus `[code-env:inject]` shows the full per-file path: [primeCodeFiles] in: file_ids=N resourceFiles=M [primeCodeFiles] file=<id> path=skip reason=no-codeenvref filename=... [primeCodeFiles] file=<id> path=cache-hit-by-session storage_session_id=... [primeCodeFiles] file=<id> path=reupload reason=no-uploadtime ... [primeCodeFiles] file=<id> path=reupload reason=stale ... [primeCodeFiles] file=<id> path=reupload-success oldSession=... newSession=... newFileId=... [primeCodeFiles] file=<id> path=reupload-failed session=... [primeCodeFiles] file=<id> path=fresh-active storage_session_id=... [primeCodeFiles] out: returned=N skippedNoRef=M reuploadFailures=K [code-env:inject] tool=<name> files=N missingResourceId=K (debug) [code-env:inject] M/N files missing resource_id ... (warn) [code-env:inject] tool=<name> _injected_files=0 ... (warn) The boundary log warns when LC sends zero injected files on a code-execution tool call — that's the user's actual symptom showing up at the LC side instead of having to correlate against codeapi's `Request received { files: [] }`. Tag chosen as `[code-env:inject]` rather than `[handoff:exec]` to avoid collision with the app-level "handoff" semantic (subagent handoff workflow). Structural cleanup in primeFiles: replaced the `if (ref) { ... }` nesting with an early `if (!ref) continue` so the per-path instrumentation hooks land at top-level scope instead of indented inside a conditional. Behavior unchanged; pushFile / reuploadFile identical. Spec fixtures (handlers.spec.ts, codeFilesSession.spec.ts) updated to include `resource_id` on `CodeEnvFile` literals — required by the post-3.1.80-dev.2 type now installed. ## Test plan - [x] `cd packages/api && npx jest src/agents/handlers.spec.ts src/agents/codeFilesSession.spec.ts src/agents/skillFiles.spec.ts` — 69/69 pass - [x] `cd api && npx jest server/services/Files/Code/process.spec.js` — 84/84 pass - [x] `npx tsc --noEmit -p packages/api` — clean - [x] `npx eslint` on all four touched files — clean * chore: add CONSOLE_JSON_STRING_LENGTH to .env.example for JSON log string length configuration * fix(files): align codeapi upload filename with LC's sanitized DB filename User-attached files for code execution were uploading to codeapi under `file.originalname` (raw upload filename, may contain spaces / special chars) while LC's DB record stored the sanitized form (`sanitizeFilename(file.originalname)`, underscores). Codeapi preserves whatever filename the upload sent, so the sandbox saw `/mnt/data/<originalname>` while LC's `primeFiles` toolContext text + `_injected_files.name` referenced `file.filename` (sanitized). Visible failure: agent gets system prompt saying /mnt/data/librechat_code_api_-_active_customer_-_2025-11-05.xlsx …tries that path, hits `FileNotFoundError`, then notices the sandbox's actual `Available files` line says /mnt/data/librechat code api - active customer - 2025-11-05.xlsx …retries with spaces, succeeds. Wastes a tool call per upload and leaks raw filenames into model context. Fix: sanitize once and use the sanitized form in both the codeapi upload AND the LC DB record. Sandbox path = LC toolContext text = in-memory ref name. No drift. Reupload path (`Code/process.js` line 867 `filename: file.filename`) already uses the sanitized DB name, so it stays consistent with the fresh-upload path after this change. ## Test plan - [x] `cd api && npx jest server/services/Files/process` — 32/32 pass - [x] `npx eslint` on the touched file — clean * chore: bump `@librechat/agents` to version 3.1.80-dev.3 in package.json and package-lock.json |
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5c338a4642
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🛂 fix: Harden Agent File Preview Access (#12981)
* fix: harden agent file access * style: format agent file query * fix: prune agent file refs on alternate writes * test: fix agent pruning specs |
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9c81792d25
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🔐 feat: Add Signed CloudFront File Downloads (#12970)
* feat: add signed CloudFront downloads * fix: preserve local IdP avatar paths * fix: address signed download review findings * fix: harden CloudFront cookie scope validation * fix: preserve URL save API compatibility * fix: store CDN SSO avatars under shared prefix * fix: Harden CloudFront tenant file access * fix: Preserve CloudFront download compatibility * fix: Address CloudFront review follow-ups * fix: Preserve file URL fallback user paths * fix: Address download review hardening * fix: Use file owner for S3 RAG cleanup * fix: Address final download review nits * fix: Clear stale avatar CloudFront cookies * fix: Align download filename helpers with dev * fix: Address final CloudFront review follow-ups * fix: Stream S3 URL uploads * fix: Set S3 stream upload length * fix: Preserve download metadata filepath * fix: Avoid remote content length for stream uploads * fix: Use bounded multipart URL uploads * fix: Harden S3 filename boundaries |
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6c6c72def7
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🚀 feat: Decouple File Attachment Persistence from Preview Rendering (#12957)
* 🗂️ feat: add `status` lifecycle to file records for two-phase previews
Schema and model foundation for decoupling the agent's final response
from CPU-heavy office-format HTML extraction.
- `MongoFile.status: 'pending' | 'ready' | 'failed'` (indexed) and
`previewError?: string` mirror the lifecycle: phase-1 emits the file
record at `pending` so the response is unblocked; phase-2 transitions
to `ready` (with text/textFormat) or `failed` (with previewError) in
the background. Absent for legacy records — clients treat that as
`ready` for back-compat.
- Mirror types added to `TFile` in data-provider so frontend cache
consumers see the new fields.
- New `sweepOrphanedPreviews(maxAgeMs)` method on the file model
recovers stale `pending` records left behind by a process restart
mid-extraction; transitions them to `failed` with
`previewError: 'orphaned'`. Cheap because `status` is indexed.
* ⚡ feat: two-phase code-execution preview flow (unblocks final response)
The agent's final response no longer waits on CPU-heavy office HTML
extraction. Phase-1 (download + storage save + DB record at
`status: 'pending'`) is awaited as before; phase-2 (extract +
`updateFile`) runs in the background with a hard 60s ceiling.
Three flows, all funneling through `processCodeOutput` and updated to
the new `{ file, finalize? }` return shape:
- `callbacks.js` (chat-completions + Open Responses streaming): emit
the phase-1 attachment immediately (carries `status: 'pending'` for
office buckets so the UI shows "preparing preview…"), then
fire-and-forget `finalize()`. If the SSE stream is still open when
phase-2 lands, push an `attachment` update event with the same
`file_id` so the client merges over the placeholder in place.
- `tools.js` direct endpoint: same split — return the phase-1
metadata immediately, run extraction in the background. Client
polls for the resolved record.
`finalize()` wraps the existing 12s per-render timeout in a 60s outer
`withTimeout`. The HTML-or-null contract from #12934 is preserved:
office types that fail extraction transition to `status: 'failed'`
with `previewError: 'parser-error' | 'timeout'` rather than falling
back to plain text (would be an XSS vector).
Promises continue running after the HTTP response closes (Node
doesn't kill them). The boot-time orphan sweep covers the only case
that loses progress — actual process restart mid-extraction.
`primeFiles` annotates the agent's `toolContext` line for prior-turn
files: `(preview not yet generated)` for pending, `(preview
unavailable: <reason>)` for failed. The model can volunteer "you can
still download it" instead of pretending the preview is fine.
`hasOfficeHtmlPath` exported from `@librechat/api` so `processCodeOutput`
can decide whether a file expects a preview at all.
* 🔍 feat: `GET /api/files/:file_id/preview` endpoint and boot orphan sweep
- New `GET /api/files/:file_id/preview` route returns
`{ status, text?, textFormat?, previewError? }`. The frontend's
`useFilePreview` React Query hook polls this while phase-2 is in
flight, then auto-stops on terminal status. ACL identical to the
download route (reuses `fileAccess` middleware). Defaults `status`
to `'ready'` for legacy records so back-compat is implicit.
`text` only included when `status === 'ready'` and non-null —
preserves the HTML-or-null security contract from #12934.
- `sweepOrphanedPreviews()` invoked on boot in both `server/index.js`
and `server/experimental.js`. Recovers any `pending` records left
behind by a process restart mid-extraction (the only case the
in-process two-phase flow can't handle on its own). Fire-and-forget
so a transient sweep failure doesn't block startup.
* 🖥️ feat: frontend two-phase preview consumer (polling + UI states)
Wires the React side to the new lifecycle so the user sees what's
happening with their file while phase-2 extraction runs in the
background and after the response stream closes.
- `useAttachmentHandler` upserts by `file_id` (was append-only) so
the phase-2 SSE update event merges over the pending placeholder
in place. Lightweight attachments without a `file_id`
(web_search / file_search citations) keep the legacy append path.
- `useFilePreview(file_id)` React Query hook with
`refetchInterval: (data) => data?.status === 'pending' ? 2500 : false`
so polling auto-stops on the first terminal response without the
caller having to flip `enabled`.
- `useAttachmentPreviewSync(attachment)` bridges polled data into
`messageAttachmentsMap`. Polling enabled iff
`status === 'pending' && isAnySubmitting` — per the design ask:
active polling while the LLM is still generating, then quiet.
Process-restart and post-stream cases are covered by polling on
the next interaction.
- `Attachment.tsx` renders a small `PreviewStatusIndicator` (spinner +
"Preparing preview…" for pending, alert icon + "Preview unavailable"
for failed) inside `FileAttachment`. Download button stays fully
functional in both states. Two new English locale keys.
- Data-provider scaffolding: `TFilePreview` type, `endpoints.filePreview`,
`dataService.getFilePreview`, `QueryKeys.filePreview`.
* 🧪 fix: stub `useAttachmentPreviewSync` in pre-existing Attachment test mocks
The new `useAttachmentPreviewSync` hook is called unconditionally inside
`FileAttachment` (added in the prior commit). Two pre-existing test
files mock `~/hooks` to provide `useLocalize` only — the un-mocked
preview hook reference resolved to undefined and crashed render with
`(0 , _hooks.useAttachmentPreviewSync) is not a function` on the
Ubuntu/Windows CI runners.
Fix is local to the test mocks: add a no-op stub that returns
`{ status: 'ready' }` so the component renders the legacy chip path.
The two-phase preview behavior itself has its own dedicated suites
(`useAttachmentHandler.spec.tsx`, `useAttachmentPreviewSync.spec.tsx`).
* 🐛 fix: route phase-2 attachment update to current-run messageId
Codex P1 review on PR #12957. `processCodeOutput` intentionally
preserves the original DB `messageId` across cross-turn filename reuse
so `getCodeGeneratedFiles` can still trace a file back to the
assistant message that originally produced it. The phase-1 SSE emit
already routes by the current run's messageId — `processCodeOutput`
runtime-overlays it via `Object.assign(file, { messageId, toolCallId })`
and the callback writes `result.file` directly.
Phase-2 was passing the raw `updateFile` return through
`attachmentFromFileMetadata`, which read `messageId` straight off the
DB record. On a turn-N run that re-emitted a filename from turn-1
(e.g. agent writes `output.csv` again), the phase-2 SSE update
routed to `turn-1-msg` instead of `turn-N-msg`. Frontend's
`useAttachmentHandler` upserts under the wrong messageAttachmentsMap
slot — turn-N's pending chip stays stuck at "preparing preview…"
while turn-1's already-resolved attachment gets re-merged.
Fix: thread `runtimeMessageId` through `attachmentFromFileMetadata`
and pass `metadata.run_id` from the phase-2 emit site. Mirrors how
phase-1 sources its messageId. Tests cover the cross-turn reuse case
plus the writableEnded / null-finalize / no-finalize paths to lock
in the broader phase-2 emit contract.
* 🛠️ refactor: address codex audit findings (wire-shape parity, DRY, defensive catch)
Comprehensive audit on PR #12957. Resolves all valid findings:
- **MAJOR #1 — Wire-shape parity**: phase-1 ships the full `fileMetadata`
record over SSE; phase-2 was using a tight `attachmentFromFileMetadata`
projection. Drop the projection and have phase-2 spread `{...updated,
messageId, toolCallId}` so both events match the long-standing
legacy phase-1 shape clients depend on.
- **MAJOR #2 — DRY**: extract `runPhase2Finalize({ finalize, fileId,
onResolved })` into `process.js` (alongside `processCodeOutput` whose
contract it pairs with). Both `callbacks.js` paths and `tools.js`
now flow through it. Single catch path eliminates divergence
surface — the fix landed in 01704d4f0 (cross-turn messageId routing)
was a symptom of this duplication risk.
- **MINOR #3 — JSDoc accuracy**: `finalizePreview`'s buffer is bounded
by `fileSizeLimit`, not the 1MB extractor cap. Updated and added a
note about peak heap from queued buffers.
- **MINOR #4 — Defensive catch**: `runPhase2Finalize`'s catch attempts
a best-effort `updateFile({ status: 'failed', previewError:
'unexpected' })` for the file_id, so a programming bug in
`finalizePreview` doesn't leave the record stuck `'pending'` until
the next boot-time orphan sweep.
- **NIT #6 — Stale PR refs**: 12952 → 12957 in 3 places.
- **NIT #7 — Schema bound**: `previewError` capped at `maxlength: 200`
to prevent a future codepath from accidentally persisting a stack
trace.
Skipped per audit verdict (non-blocking):
- #5 (memory pressure): documented in JSDoc; impl change was reviewer's
"consider", not actionable.
- #8 (double DB query per poll): low cost, indexed by_id, polling is
gated narrow.
- #9 (TAttachment cast): the union type is intentional; the casts are
safe widening, refactoring TAttachment is invasive and out of scope.
Tests: 11 new (7 `runPhase2Finalize` unit tests covering happy path,
null-finalize, throws, double-fail, no-fileId, no-onResolved; +4
wire-shape parity assertions in the existing cross-turn test). 328
backend tests pass; 528 frontend tests pass; lint and typecheck clean.
* 🛡️ refactor: address codex P1+P2 + rename to drop phase-1/2 jargon
Codex round 2 review on PR #12957 caught two race conditions and one
recovery gap, all triggered by cross-turn filename reuse (`claimCodeFile`
intentionally returns the same `file_id` for the same
`(filename, conversationId)` across turns). Plus naming cleanup the
user requested — internal "phase 1 / phase 2" vocabulary leaks across
sprints, replace it everywhere with terms describing what's actually
happening.
P1 — stale render overwrites newer revision (process.js)
Two turns reusing `output.csv` share a `file_id`. If turn-1's
background render resolves AFTER turn-2's persist step, the
unconditional `updateFile` writes turn-1's stale text/status over
turn-2's pending placeholder. Fix: stamp a fresh `previewRevision`
UUID on every emit, thread it through `finalizePreview`, and make
the commit conditional via a new optional `extraFilter` argument
on `updateFile` (`{ previewRevision: <expected> }`). The defensive
`updateFile` in `runPreviewFinalize`'s catch uses the same guard
so a programming error from an older render also can't override a
newer turn.
P1 — stale React Query cache on pending remount (queries.ts)
Same root cause from the frontend side. Cache key
`[QueryKeys.filePreview, file_id]` may hold a prior turn's `'ready'`
payload; with `refetchOnMount: false` and the polling gate on
`pending`, polling never starts for the new placeholder. Fix:
`useAttachmentHandler` invalidates that query whenever an attachment
with a `file_id` arrives. Both initial-emit and update events
trigger invalidation — uniform gate.
P2 — quick-restart orphans skipped by boot sweep (files.js)
Boot `sweepOrphanedPreviews` uses a 5-min cutoff for multi-instance
safety. A crash + restart inside the cutoff leaves `pending` records
that never get touched again. Fix: lazy sweep inside the preview
endpoint — if a polled record is `pending` and `updatedAt` is older
than 5 min, mark it `failed:orphaned` on the spot before responding.
Conditional on the same `updatedAt` we observed so a concurrent
legitimate update wins. Cheap, bounded by user activity.
Naming cleanup
- `runPhase2Finalize` → `runPreviewFinalize`
- `PHASE_TWO_TIMEOUT_MS` → `PREVIEW_FINALIZE_TIMEOUT_MS`
- All `phase-1` / `phase-2` / `two-phase` prose replaced with
"the immediate emit", "the deferred render", "the persist step",
"the deferred preview", etc. Skill-feature `phase 1/2` references
(different feature) left alone.
Tests: 10 new (4 lazy-sweep × preview endpoint, 3 cache-invalidation ×
useAttachmentHandler, 3 extraFilter × updateFile data-schemas).
Backend 332/332, frontend 531/531, data-schemas 37/37, lint clean.
* 🛠️ refactor: address comprehensive review (round 3) — stale-cache MAJOR + 3 minors
Comprehensive review on PR #12957 caught a P1 follow-on bug from the
prior `invalidateQueries` fix, plus 3 maintainability findings.
MAJOR: stale React Query cache not actually fixed by `invalidateQueries`
The previous fix called `invalidateQueries` to flush stale cached
preview data on cross-turn filename reuse. But `useFilePreview` had
`refetchOnMount: false`, which made the new observer read the
stale-marked 'ready' data without refetching. The polling
`refetchInterval` then evaluated against stale 'ready' → returned
`false` → polling never started → user stuck on stale content.
Fix (belt-and-suspenders):
a) `useAttachmentHandler` switched to `removeQueries` — drops the
cache entry entirely so the next mount has nothing to read and
must fetch.
b) `useFilePreview` no longer sets `refetchOnMount: false`, so the
React Query default (`true`) kicks in — second line of defense
if any future codepath observes stale data before the handler
has a chance to evict.
MINOR: `finalizePreview` JSDoc missing `previewRevision` param
Added with explanation of the conditional update guard.
MINOR: asymmetric stream-writable guard between SSE protocols
Chat-completions delegated the gate to `writeAttachmentUpdate`;
Open Responses inlined `!res.writableEnded && res.headersSent`.
Extracted `isStreamWritable(res, streamId)` predicate; both paths
+ `writeAttachmentUpdate` now share the single source of truth.
NIT: `(data as Partial<TFile>).file_id` cast repeated 4 times
Extracted to a `fileId` local at the top of the handler.
Tests: existing 9 invalidate-tests rewritten as remove-tests; +1 new
lock-in test asserts removeQueries is called and invalidateQueries
is NOT (regression guard against round-3 finding). 332 backend pass,
532 frontend pass, lint clean.
Skipped findings (deferred / acceptable):
- MINOR: post-submission pending state has no auto-recovery — the
`isAnySubmitting` polling gate was the user's explicit design;
LLM context surfaces failed/pending so the model can volunteer.
Worth a follow-up if real users hit it.
- NIT: double DB query per preview poll — reviewer marked acceptable;
changing `fileAccess` middleware is out of scope.
* 🛡️ test: address comprehensive review NITs (initial-emit guard + isStreamWritable coverage)
NIT — chat-completions initial emit skips writableEnded check
The Open Responses initial emit was switched to use the new
`isStreamWritable` predicate in the round-3 commit, but the
chat-completions initial emit kept the older narrower check
(`streamId || res.headersSent`). On a client disconnect mid-stream
(`writableEnded === true`) it would still hit `res.write` and
raise `ERR_STREAM_WRITE_AFTER_END` — caught by the outer IIFE
catch but logged as noise. Switch this site to `isStreamWritable`
too so both initial-emit paths share the same gate as the
deferred update emits.
NIT — `isStreamWritable` not directly unit-tested
The predicate was only covered indirectly via the deferred-preview
SSE tests (writableEnded skip, headersSent check). Export from
`callbacks.js` and add 5 parametric tests pinning down each branch
(streamId truthy, res null, !headersSent, writableEnded, happy
path) so a future condition addition can't silently regress.
* 🐛 fix: stuck "Preparing preview…" + inline the chip subtitle
Two related fixes for a stuck-spinner bug a user reported in manual
testing of PR #12957.
**Stuck spinner (the bug)**
The deferred preview render can complete a few seconds AFTER the SSE
stream closes (typical case: PPTX render finishes ~3s after the LLM
emits FINAL). When that happens, the SSE update is silently dropped
(`isStreamWritable` returns false on a closed stream) and polling is
the only recovery path.
The earlier polling gate was `status === 'pending' && isAnySubmitting`,
which mirrored the original design intent ("only query while the LLM
is still generating"). But `isAnySubmitting` flips false the moment
the model emits FINAL — milliseconds before the deferred render
commits. Polling never runs, the chip stays "Preparing preview…"
forever even though the DB has `status: 'ready'` with valid HTML.
Drop the `isAnySubmitting` part of the gate. `useFilePreview`'s
`refetchInterval` is already a function-form that returns `false` on
the first terminal response, so polling auto-stops within one tick of
resolution. The server-side render ceiling (60s) plus the lazy sweep
in the preview endpoint cap the worst case to ~24 polls per pending
attachment. Polling itself never blocks UX — the gate's purpose was
"don't waste cycles", and capping by terminal status is the correct
expression of that.
**Inline the chip subtitle (the visual)**
The previous design rendered "Preparing preview…" as a loose-feeling
spinner+text BELOW the file chip. The chip itself looked done while a
floating annotation said it wasn't.
`FileContainer` gains an optional `subtitle?: ReactNode` prop that
overrides the default file-type label. `Attachment.tsx` passes a
`PreviewStatusSubtitle` (spinner + "Preparing preview…" / alert +
"Preview unavailable") into that slot when the file's preview is
pending or failed. The chip footprint stays identical to its `'ready'`
form — just the second row swaps from "PowerPoint Presentation" to
the status indicator. No floating element, no layout shift.
Tests: regression test pinning down "polling stays enabled after the
LLM finishes" so a future revert can't reintroduce the stuck-spinner
bug. Existing FileContainer tests pass unchanged (subtitle override
is opt-in). 522 frontend tests pass; lint clean.
* 🐛 fix: deferred-preview survives reload + matches artifact card chrome
Fixes the remaining stuck-pending case after the polling gate fix: on
a reloaded conversation, message.attachments come from the DB frozen at
the immediate-persist `status: 'pending'`, but `messageAttachmentsMap`
is empty because no SSE handler ever fired for that messageId. Polling
now INSERTS a new live entry when no record matches the file_id, and
`useAttachments` merges live entries onto DB entries by file_id so the
resolved text/textFormat reach `artifactTypeForAttachment` and the
chip routes through the proper PanelArtifact card.
Also replaces the small file chip used during the pending state with
a PreviewPlaceholderCard that mirrors ToolArtifactCard chrome, so the
transition to the resolved PanelArtifact no longer reshapes the UI.
* ✨ feat: auto-open panel when deferred preview resolves pending→ready
The legacy auto-open path is gated only on `isSubmitting`, so an
office-file preview that resolves *after* the SSE stream closes would
render in place but never auto-open the panel — even though that's
exactly the moment the result becomes meaningful to the user. Adds a
per-file_id one-shot signal that `useAttachmentPreviewSync` flips on
the pending→ready edge; `ToolArtifactCard` consumes it on mount and
auto-opens regardless of submission state. The signal is *only* set on
the actual transition (history loads of pre-resolved files don't
trigger it) and is consumed once (panel close + reopen on the same
card stays user-controlled).
* 🐛 fix: drop placeholder Terminal overlay + scope auto-open to fresh resolutions
Two fixes for issues spotted in manual testing of the deferred-preview
auto-open feature:
1. PreviewPlaceholderCard was passing `file={attachment}` to FilePreview,
which triggered SourceIcon's Terminal overlay (`metadata.fileIdentifier`
is set on every code-execution file). The artifact card itself doesn't
show that overlay; the placeholder shouldn't either, so the
pending→resolved transition is visually seamless.
2. The `previewJustResolved` flag flipped on every pending→ready
transition observed by the polling hook — including stale-pending
DB records that resolve via the first poll on a *history load*.
Conversations whose immediate-persist snapshot left attachments at
`status: 'pending'` would yank the panel open every revisit.
Adds `mountedDuringStreamRef` to the hook (mirroring ToolArtifactCard)
so the flag fires only when the hook itself was mounted during an
active turn — preserving the pre-PR contract that the panel only
auto-opens for results the user is actively waiting on, never for
history.
* 🐛 fix: don't downgrade preview to failed when only the SSE emit throws
Codex P2 finding on PR #12957: the original chain placed `.catch` after
`.then(onResolved)`, so a throw inside `onResolved` (transport-side
errors — SSE write race after stream close, an emitter listener
throwing) would propagate into the finalize catch and persist
`status: 'failed'` / `previewError: 'unexpected'`. That surfaced
"preview unavailable" in the UI for a perfectly valid file, and
degraded next-turn LLM context to reflect a non-existent failure.
Wraps `onResolved` in its own try/catch so emit errors are logged but
do not affect the file's persisted status. Extraction success and
emit success are now independent: if extraction succeeds and
`finalizePreview` writes the terminal status, the polling layer / next
page load surfaces the resolved preview even if this turn's SSE emit
didn't land.
* 🛡️ fix: run boot-time orphan sweep under system tenant context
Codex P2 finding on PR #12957: `File` is tenant-isolated, so under
`TENANT_ISOLATION_STRICT=true` the boot-time `sweepOrphanedPreviews`
threw `[TenantIsolation] Query attempted without tenant context in
strict mode` and the recovery path silently failed every restart.
Stale `status: 'pending'` records would be stuck until a user happened
to poll the preview endpoint and trigger the lazy sweep — which only
covers the file the user is currently looking at, not the bulk
candidate set the boot sweep is designed to recover.
Wraps the sweep in `runAsSystem(...)` in both boot paths
(`api/server/index.js` and `api/server/experimental.js`) and pins the
contract with regression tests in `file.spec.ts` — one test asserts
the bare call throws under strict mode, the other asserts the
`runAsSystem`-wrapped call succeeds.
* 🧹 chore: trim verbose comments from previous commit
* 🧹 chore: address review findings (dead branch, lazy-sweep cutoff, stale JSDoc)
- finalizePreview: drop unreachable !isOfficeBucket branch (caller
already gates on hasOfficeHtmlPath, so this path is always office)
- preview endpoint: drop lazy-sweep cutoff from 5min to 2min — anything
past the 60s render ceiling is definitively orphaned, and per-request
sweep can be tighter than the per-instance boot sweep
- strip stale `isSubmitting` references from JSDoc in 3 spots (the
client-side gate was removed in
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📄 feat: Rich File Artifact Previews for DOCX, CSV, XLSX, PPTX (#12934)
* 📄 feat: Rich File Artifact Previews for DOCX, CSV, XLSX, PPTX Render office files emitted by tools as interactive previews in the artifact panel instead of raw extracted text. The backend produces a sanitized HTML document via mammoth (DOCX), SheetJS (CSV/XLSX/XLS/ODS), or yauzl-based slide extraction (PPTX) and ships it through the existing SSE attachment payload; the client routes it through the Sandpack `static` template's `index.html` slot — no new browser deps, no client-side blob fetch, no React renderer components. * 🔐 fix: Restrict data: URLs to <img> in office HTML sanitizer Codex review on #12934 caught that `data:` lived in the global `allowedSchemes`, which meant a smuggled `<a href="data:text/html, <script>...</script>">` would survive sanitization. The Sandpack iframe sandbox does not gate `target="_blank"` navigations, so a click would open attacker-controlled HTML in a new tab. Scope `data:` to `<img src>` only via `allowedSchemesByTag` (mammoth inlines DOCX images as base64 `data:image/...` URIs — that path still works). Add a regression suite (`sanitizeOfficeHtml security`) with 8 cases covering: <script> stripping, event-handler removal, javascript:/data: rejection on anchors, data:image preservation in <img>, http/https/mailto allowance, target=_blank rel=noopener enforcement, and <iframe> stripping. * 🔧 fix: Route extensionless office files by MIME alone Codex review on #12934 caught that the office-render gate in `extractCodeArtifactText` only fired when the extension was in `OFFICE_HTML_EXTENSIONS` or the category was `document`/`pptx`. A tool emitting `data` with `text/csv` (no extension) classifies as `utf8-text`, so the gate was skipped and raw CSV text shipped to the client — but the client routes by MIME to the SPREADSHEET bucket expecting a full HTML document, so the panel rendered broken text. Extract a shared `officeHtmlBucket(name, mime)` predicate from `html.ts` (returns the bucket name or null). Both `bufferToOfficeHtml` (the dispatcher) and the upstream gate in `extract.ts` now go through this single source of truth, so they can never drift apart again. The predicate already mirrors the dispatcher's extension/MIME logic (extension wins; MIME is the fallback for extensionless inputs). Adds: - 14 cases for the new `officeHtmlBucket` predicate covering the positive paths (each bucket via extension OR MIME) and the negative paths (txt, py, json, jpg, pdf, zip, odt, plain noext). - A direct regression test in `extract.spec.ts` for the Codex catch: `data` with `text/csv` + utf8-text category routes through the office HTML producer. - Parameterized cases for extensionless DOCX/XLSX/XLS/ODS/PPTX files identified by MIME alone. * 🛡️ fix: Enforce extension-wins precedence in officeHtmlBucket Codex review on #12934 caught that the predicate's if-chain interleaved extension and MIME checks for each bucket — e.g. CSV's branch was `ext === 'csv' || CSV_MIME_PATTERN.test(mimeType)`. A `deck.pptx` shipped with `text/csv` (sandboxed tools sometimes ship generic MIMEs) matched the CSV branch BEFORE the PPTX extension branch was reached, so a binary PPTX would have been handed to `csvToHtml` to parse as text — yielding garbage or a parse exception. Restructure to a strict two-pass dispatch: an exhaustive extension table first (one lookup, all known extensions), then MIME-only fallback for extensionless / unknown-ext inputs. The doc comment's "extension wins" claim is now actually enforced by the implementation. Add 7 regression cases covering the conflicting-MIME footgun for each bucket: deck.pptx + text/csv → pptx; workbook.xlsx + text/csv → spreadsheet; legacy.xls + pptx-MIME → spreadsheet; report.docx + text/csv → docx; data.csv + docx-MIME → csv; etc. * 🛡️ fix: Reject zip-bomb office files before in-process parsing (SEC) Addresses pre-existing availability vulnerability validated by SEC review (Codex finding 275344c5...) and made worse by this PR's HTML rendering path. A sub-1MiB compressed XLSX/DOCX/PPTX (highly compressed run-of-zeros) inflates to 200+ MiB of XML when handed to mammoth/xlsx — blocking the Node event loop for 10+ seconds and spiking RSS to ~1 GiB. The existing 8s `withTimeout` wrapper uses `Promise.race`, which can only return early; it cannot interrupt synchronous parser CPU/RAM consumption. PoC ran an authenticated execute_code call to OOM the API process. Add `assertSafeZipSize(buffer)` — a yauzl-based pre-flight that streams every entry with mid-inflate byte counting and bails on either a per-entry or total decompressed-size cap. Mid-inflate counting cannot be bypassed by falsifying the central directory's `uncompressedSize` field (the technique the PoC used). Defaults: 25 MiB per entry, 100 MiB total — generous headroom for legitimate image-heavy office files, well below the attack profile. Hook the check into every path that hands a buffer to mammoth/xlsx /yauzl: - New HTML producers (`wordDocToHtml`, `excelSheetToHtml`, `pptxToSlideListHtml`) — added by this PR - Legacy RAG text extractors (`wordDocToText`, `excelSheetToText` in `crud.ts`) — pre-existing path, also vulnerable Errors propagate as a tag-distinct `ZipBombError` so callers can distinguish a refused bomb from generic parse failures. The outer `extractCodeArtifactText` swallows the error and returns null, falling back to the regular download UI. `.xls` (BIFF/CFB binary, not ZIP) is detected by magic bytes and skipped — yauzl would reject it as malformed anyway. Adds 15 tests: - `zipSafety.spec.ts` (9): benign passes, per-entry cap, total cap, ZipBombError type-tagging, malformed-zip distinction, directory- entry handling, named-error surfacing, and the SEC-PoC pattern (sub-1 MiB compressed → 50 MiB inflated rejected on default caps). - `html.spec.ts` zip-bomb suite (5): each producer rejects a bomb; dispatcher propagates correctly; legitimate fixtures still render. - `extract.spec.ts` (1): outer extractor swallows ZipBombError and returns null so the download UI fallback fires. * 🧹 fix: Normalize MIME parameters; add legacy CSV MIME variant Two related Codex catches on PR #12934 — both about MIME-routing inconsistencies between backend and client that would cause extensionless CSV files to render as broken (raw text under an HTML slot) or skip the artifact panel entirely. P2 — backend MIME normalization: `officeHtmlBucket` matched MIME strings exactly, so a real-world `text/csv; charset=utf-8` Content-Type slipped through and the backend returned raw CSV text. The client's `baseMime` helper strips parameters before its own MIME lookup, so it routed the same file to the SPREADSHEET bucket expecting an HTML body that never arrived. Mirror the client's normalization on the backend (strip everything from `;` onward, lowercase) before bucket matching. P3 — client legacy CSV MIME: Backend's `CSV_MIME_PATTERN` accepts three variants (`text/csv`, `application/csv`, `text/comma-separated-values`); the client's `MIME_TO_TOOL_ARTIFACT_TYPE` only had the first two. An extensionless file with `text/comma-separated-values` would have backend HTML produced but the client would skip the artifact panel entirely. Add the missing variant. Tests: - 9 new parameterized-MIME cases on backend covering charset/ boundary/case variants for every bucket. - 1 new client routing case for `text/comma-separated-values`. * 🩹 fix: Try office HTML before short-circuiting on category=other Codex review on #12934 caught that the early `category === 'other'` return short-circuited before `hasOfficeHtmlPath` was checked. The classifier returns 'other' for inputs the new dispatcher can still route — extensionless `application/csv` (CSV MIMEs aren't in the classifier's text-MIME set and don't start with `text/`), and extensionless office MIMEs with parameters like `application/vnd... spreadsheetml.sheet; charset=binary` (the classifier's `isDocumentMime` exact-matches these MIMEs without parameter normalization). Both would route correctly through `officeHtmlBucket` but never reached it. Move the office-HTML attempt above the 'other' early return, and drop the `|| category === 'document' || category === 'pptx'` shortcut now that `hasOfficeHtmlPath` covers the same surface (with parameter normalization) and a wider one. ODT still routes through `extractDocument` unchanged — `hasOfficeHtmlPath` returns false for it and the `category === 'document'` branch below handles it. Adds 3 regression tests: - extensionless `application/csv` + category='other' → office HTML - extensionless parameterized office MIME + category='other' → office HTML - defense check: actual binary 'other' (image/jpeg) still returns null without invoking the office producer * 🛡️ fix: Office types are HTML-or-null (no text fallback → XSS) Codex P1 review on #12934 caught that when `renderOfficeHtml` failed (timeout, malformed file, zip-bomb rejection) for an office type, the extractor fell through to `extractDocument` and returned plain text. The client routes by extension/MIME to the office preview buckets and feeds `attachment.text` straight into the Sandpack iframe's `index.html`. A spreadsheet cell or document body containing the literal string `<script>alert(1)</script>` would have been injected as executable markup — direct XSS. The contract for office types is now HTML-or-null with no text fallback. Failed render returns null, the client's empty-text gate keeps the artifact off the panel, and the file falls back to the regular download UI (matching what PPTX already did). PDF and ODT still go through `extractDocument` because the client routes them to PLAIN_TEXT (which the markdown viewer escapes) or no artifact at all, so plain text is safe there. Test reshuffle: - `document` describe block now uses ODT/PDF for the legacy parseDocument-path tests (DOCX/XLSX/XLS/ODS bypass that path). - New "does NOT call parseDocument for office HTML types" test locks in the SEC contract for all four office HTML buckets. - "falls back to ..." tests rewritten as "returns null when ..." with explicit `parseDocumentCalls.length === 0` assertions to prove no text leaks back to the client. - New XSS regression test for the XLSX failure path. - Mock parseDocument failure-name match relaxed to `includes()` so ODT-named tests can use the same trigger. * 🧽 chore: Address follow-up review findings on PR #12934 Wraps up the 10-finding follow-up review. Two MAJOR + four MINOR + two NIT addressed; one NIT skipped after verifying it was a misread of the package.json structure. MAJOR - #1: Rewrite `renderOfficeHtml` JSDoc to document the HTML-or-null contract explicitly. The pre-fix doc described a text-fallback path that was the original XSS vector (commit b06f08a). A future maintainer trusting the stale doc could reintroduce the fallback. - #2: Replace byte-truncation of office HTML with a small "preview too large" banner document. Cutting at a UTF-8 boundary lands mid-tag (`<table><tr><td>con\n…[truncated]`) and ships malformed markup to the iframe — unpredictable rendering, occasional broken layouts on DOCX with embedded images / wide spreadsheets. MINOR - #4: Wrap `readSlidesFromZip`'s `zipfile.close()` in try/catch so a close-time exception (mid-flight stream) doesn't replace the original error. Mirrors the defensive pattern in zipSafety.ts. - #5: Refactor PPTX extraction to use `yauzl.fromBuffer` directly, eliminating the temp-file write/unlink the safety pre-flight already proved unnecessary. Removes 4 unused imports (os, path, fs/promises, randomUUID). - #6: Extract `isPreviewOnlyArtifact(type)` to `client/src/utils/ artifacts.ts` so the membership check is unit-testable without mounting the full Artifacts component (Recoil + Sandpack + media query). 15 new test cases covering positive types, negative types, null/undefined, and unknown strings. NIT - #3: Remove dead `stripColorStyles` / `COLOR_PROPERTY_PATTERN` — unused (sanitizer's `allowedStyles` config handles color implicitly). - #7: Remove dead `!_lc_csv_label` worksheet property write. - #9: Remove no-op `exclusiveFilter: () => false` sanitize-html config. - #10: Type-narrow `PREVIEW_ONLY_ARTIFACT_TYPES` to `ReadonlySet<ToolArtifactType>` so the membership table is compile-time checked against the enum. SKIPPED - #8: Reviewer flagged `sanitize-html` as duplicated in devDeps and dependencies. The package has no `dependencies` section — only `devDependencies` and `peerDependencies`. Existing convention (mammoth, xlsx, yauzl, pdfjs-dist) is to appear in BOTH. Removing the devDep entry would break local test runs. Tests: packages/api 4406/4406, client artifacts 128/128. * 🪞 chore: Fix isPreviewOnlyArtifact test description parameter order Follow-up review nit on PR #12934. Jest's `it.each` substitutes `%s` positionally, and the table rows were `[type, expected]` while the description template read `'returns %s for type %s'` — outputting "returns application/vnd.librechat.docx-preview for type true" instead of the intended "type ... returns true". Reorder the template to match the column order. Test runner output now reads naturally: "type application/vnd.librechat.docx-preview returns true". Pure cosmetic — runtime behavior unchanged. * ✨ feat: Improve DOCX rendering and surface filename in panel header Two UX improvements based on hands-on use of the office preview pipeline. DOCX rendering — mammoth strips the navy banners, cell shading, and column layouts that direct-formatted docs apply (python-docx-style output is a common case). The flat `<p><strong>X</strong></p>` and bare `<table><tr><td>` it emits looks washed out next to the source. Three targeted compensations: - Style map promotes `Title`, `Subtitle`, `Heading 1` thru `Heading 6`, and `Quote` paragraphs to their semantic HTML equivalents (mammoth's default only handles Heading 1-6, missing Title/Subtitle/Quote). - Extra CSS scoped to `.lc-docx` gives the first table row sticky- looking header styling regardless of `<thead>` (mammoth never emits `<thead>`), adds zebra striping, and treats the python-docx `<p><strong>X</strong></p>` section-heading idiom as a pseudo-h2 with a thin accent left border so document structure survives the round trip. Headings get a left accent or underline so they read as headings instead of just bold paragraphs. - Sanitizer's `allowedAttributes` opens `class` on the heading and block tags the styleMap and CSS heuristics rely on. `<script>`, event handlers, javascript: URLs, etc. are still stripped — the existing security regression suite catches any drift. Panel header — `Artifacts.tsx` showed a generic "Preview" pill for preview-only artifacts. Single-tab Radio is a no-op; surfacing the document filename there gives the user something useful in the chrome without taking real estate. `displayFilename` handles the sandbox dotfile suffix the upload pipeline applies. Tests: html.spec.ts +1 (new CSS-emission lock), 71/71. Backend files suite 428/428. Client 308/308. * ✨ feat: High-fidelity DOCX preview via docx-preview in iframe Switch the default DOCX render path from server-side mammoth → flat HTML to client-side `docx-preview` loaded inside the Sandpack iframe. Mammoth becomes the fallback for files above the cap. Why --- The Sandpack iframe is a real browser DOM. Server-side rendering ceiling for DOCX→HTML is well below the source's visual fidelity — mammoth strips cell shading, run colors, banners, and column layouts because Word's layout model doesn't fit HTML's flow model. Pushing the render into the iframe lifts that ceiling without paying the server-side cost of jsdom or LibreOffice. What ---- - New `wordDocToHtmlViaCdn(buffer)` builds a self-contained HTML doc that embeds the binary as base64 and lets `docx-preview@0.3.7` render it on load. CSS preserves dark/light mode handoff via `prefers-color-scheme`. Bootstrap script falls back to a "preview unavailable, please download" message if the CDN is unreachable or the parse throws. - `docx-preview` and its `jszip` peer dep are pinned to specific versions on jsdelivr with SRI sha384 integrity hashes and `crossorigin="anonymous"`. Refresh: re-fetch the file, run `openssl dgst -sha384 -binary FILE | openssl base64 -A`. - CSP locked down on the iframe: `default-src 'none'`, scripts only from jsdelivr (no eval), `connect-src 'none'` so a parser bug in docx-preview can't be turned into exfiltration of the embedded document, `base-uri 'none'`, `form-action 'none'`. Defense in depth on top of the Sandpack cross-origin sandbox. - `wordDocToHtml` dispatches by size: ≤ 350 KB binary → CDN path (high fidelity), larger → mammoth fallback (preserves the size cap on `attachment.text`). 350 KB chosen so worst-case base64-inflated output (~478 KB) plus wrapper overhead (~5 KB) fits under MAX_TEXT_CACHE_BYTES (512 KB) with 40 KB headroom. - Internal renderers exported as `_internal` for tests. Public API unchanged — callers still go through `wordDocToHtml`. PPTX intentionally NOT switched ------------------------------- Surveyed the available client-side PPTX libraries: - `pptx-preview@1.0.7` ships an ESM-only main entry plus a 1.36 MB UMD that references `require("stream"/"events"/"buffer"/"util")` — bundled for Node, not browser-clean. Could work but the runtime references to undefined Node globals are a fragility risk worth more validation than this PR can absorb. - `pptxjs` is jQuery-era, requires four separate UMD scripts in a specific order, less actively maintained. - The honest answer for PPTX is the LibreOffice sidecar (DOCX/XLSX/ PPTX → PDF → PDF.js), which is the architecture every major product (Google Drive, Claude.ai, ChatGPT) effectively uses and the only path to ~5/5 fidelity for arbitrary user decks. PPTX stays on the existing slide-list extraction for now. Open a follow-up issue for the LibreOffice/Gotenberg sidecar. Tests ----- - 6 new in CDN-rendered describe block: wrapper structure, base64 round-trip, SRI integrity + crossorigin, CSP locks (connect-src/eval/base-uri/form-action), fallback message wiring, size-threshold lock. - Adjusted 2 existing tests that asserted on mammoth-path artifacts (literal document text in `<article class="lc-docx">`) — those assertions move to the mammoth-fallback test that calls `_internal.wordDocToHtmlViaMammoth` directly. Dispatcher tests now assert CDN-path signatures instead. packages/api files: 434/434 ✅, full unit suite 4473/4473 ✅. * 🧷 fix: Address Codex P1 (MIME aliases) + P2 (CDN dependency) Two follow-up review findings on PR #12934, both real. P1 — Spreadsheet MIME aliases on client ---------------------------------------- Backend's `officeHtmlBucket` uses the broad `excelMimeTypes` regex from `librechat-data-provider` (covers `application/x-ms-excel`, `application/x-msexcel`, `application/msexcel`, `application/x-excel`, `application/x-dos_ms_excel`, `application/xls`, `application/x-xls`, plus the canonical sheet MIMEs). The client's exact-match `MIME_TO_TOOL_ARTIFACT_TYPE` only had three of those, so an extensionless XLS upload with a legacy MIME would have backend HTML produced but the client would fail to route the artifact at all — preview chip never registers. Fix: import the same regex on the client and add it as a fallback in `detectArtifactTypeFromFile` after the exact-match map miss. Stays in lock-step with the backend automatically. 7 new test cases — one per legacy alias. P2 — Hard CDN dependency on jsdelivr ------------------------------------- Air-gapped / corporate-filtered networks where jsdelivr is unreachable would see DOCX previews permanently degrade to "Preview unavailable" because the iframe could never load the renderer scripts. Mammoth was sitting right there on the server but the dispatcher always preferred the CDN path for files under 350 KB. Fix: `OFFICE_PREVIEW_DISABLE_CDN` env var. When truthy (`1`, `true`, `yes`, case-insensitive, whitespace-trimmed), `wordDocToHtml` short-circuits to the mammoth path regardless of file size. Operators on filtered networks set the env var; default behavior is unchanged. Read at function-call time (not module load) so jest can flip it in `beforeEach` without `jest.resetModules()`. The cost is one property access per render. 12 new test cases: env-unset uses CDN (default), all five truthy forms force mammoth, five non-truthy forms (`false`/`0`/`no`/empty/ arbitrary string) leave CDN active. Tests ----- packages/api/src/files: 446/446 ✅ (was 434, +12 from env-var matrix). client artifact suites: 235/235 ✅ (was 228, +7 from MIME aliases). * ✨ feat: High-fidelity PPTX preview via pptx-preview in iframe Mirrors the DOCX CDN architecture for PPTX: small files (≤350 KB binary) embed as base64 and render via `pptx-preview` loaded from jsdelivr inside the Sandpack iframe. Larger files and air-gapped deployments fall back to the existing slide-list extraction. Why --- PPTX is the format where the gap between LibreChat's preview and Claude.ai-style previews was most visible (slide-list of bullet points vs. rendered slide layouts). LibreOffice → PDF → PDF.js is still the eventual gold-standard answer for PPTX fidelity, but client-side rendering inside the Sandpack iframe gets us a meaningful intermediate step (~1.5/5 → ~3.5/5) without a sidecar. What ---- - `pptx-preview@1.0.7` (ISC license, ~1.36 MB UMD bundle that includes its echarts/lodash/uuid/jszip/tslib deps inline). Pinned to a specific version on jsdelivr with SHA-384 SRI and `crossorigin="anonymous"`. - `buildPptxCdnDocument` mirrors the DOCX wrapper: same CSP locks (`default-src 'none'`, `connect-src 'none'`, no eval, no base/form tampering), same `id="lc-doc-data"` base64 slot, same fallback message wiring (`typeof pptxPreview === 'undefined'` → "Preview unavailable"). - New public `pptxToHtml(buffer)` dispatcher; `bufferToOfficeHtml` switches its `'pptx'` case to call it. `pptxToSlideListHtml` stays exported as the slide-list-only path (still hit by tests directly and by the dispatcher fallback). - `OFFICE_PREVIEW_DISABLE_CDN=true` env-var hatch applies to PPTX too — air-gapped operators get the slide-list path. Same env-var read at call time, same matrix of truthy values (`1` / `true` / `yes` / case-insensitive / whitespace-trimmed). - `_internal` re-exports moved to after the PPTX section since the PPTX internals live further down in the file. Adds `pptxToHtmlViaCdn`, `MAX_PPTX_CDN_BINARY_BYTES`, `PPTX_PREVIEW_CDN`. Honest caveats -------------- - The 1.36 MB UMD bundle has `require("stream"/"events"/"buffer"/ "util")` references in its outer wrapper. Those are bundled-dep artifacts (likely from `tslib` / Node-shim transforms) and don't appear to execute on the browser code paths, but I haven't done manual e2e on a wide range of decks. If a class of files turns up that breaks rendering, the iframe-side fallback message catches it and operators have `OFFICE_PREVIEW_DISABLE_CDN=true` as the bail. - First-render CDN fetch is ~1.36 MB (browser-cached after). - PPTX with embedded media easily exceeds the 350 KB binary cap; those files take the slide-list path. Lifting the cap is a follow-up (tied to the broader self-hosting work). Tests ----- 11 new in two new describe blocks: - `pptxToHtml dispatcher`: routing predicate (small → CDN, env-set → slide-list). - `CDN-rendered path`: base64 round-trip, SRI integrity + crossorigin, CSP locks (connect/eval/base/form), fallback message, size-threshold lock at 350 KB. - `OFFICE_PREVIEW_DISABLE_CDN escape hatch`: env-var matrix for truthy values. packages/api/src/files: 457/457 ✅ (was 446, +11). * 🪟 fix: DOCX preview fills the artifact panel width docx-preview defaults to rendering at the document's native page width (8.5in for letter, 21cm for A4). In a wide artifact panel that left whitespace on either side; in a narrow one it forced horizontal scroll. Two changes: - Pass `ignoreWidth: true` to `docx.renderAsync` so the library skips the document's pageSize width and uses its container's width. - Defensive CSS overrides on `.docx-wrapper` and `.docx-wrapper > section.docx` in case a future library version regresses on the option, plus `padding: 0` on the wrapper to drop the page-edge whitespace docx-preview otherwise reserves. `renderHeaders`/`renderFooters`/etc. stay enabled — those still appear in the rendered output, just inside a container that fills the panel instead of a fixed-width "page." Tests unchanged (100/100); manual e2e ahead of merge. * 🩹 fix: PPTX black screen — allow blob: workers + harden bootstrap Manual e2e of the PPTX CDN renderer surfaced a black screen with "Could not establish connection. Receiving end does not exist." unhandled-rejection — characteristic of a Web Worker that couldn't start. Root cause: pptx-preview's bundled echarts dep spins up Web Workers via blob: URLs for chart rendering. Our CSP had `default-src 'none'` and no `worker-src`, so workers fell back to default → blocked. The async failure deep inside echarts didn't surface through the outer `previewer.preview()` promise, so my bootstrap's `.catch` never fired, the loading state was removed, and the iframe sat with the body background showing through (dark navy in dark mode = "black screen"). Three changes: - Add `worker-src blob:` to the PPTX CSP. Allows blob:-only worker creation without permitting arbitrary worker URLs. - Bootstrap: window-level `unhandledrejection` and `error` listeners so rejections from inside bundled-dep async pipelines surface as the user-facing "Preview unavailable" fallback instead of going silent. - Bootstrap: 8-second timeout that checks `container.children.length` — if the renderer hasn't appended anything visible by then, assume silent failure and show the fallback. Also wipe `container.innerHTML` when showing the fallback so a partial render doesn't compete with the message. DOCX wrapper unchanged: docx-preview doesn't use workers, so the worker-src directive doesn't apply, and the existing fallback path already covers its failure modes. Tests ----- - Existing PPTX CSP test now also asserts `worker-src blob:` is present. - Existing fallback-message test extended to cover the new unhandledrejection/error/timeout listeners. packages/api/src/files: 467/467 ✅. * 🔒 fix: gate office HTML routing on backend trust flag (textFormat) Codex P1 review on PR #12934: routing .docx/.csv/.xlsx/.xls/.ods/.pptx into the office preview buckets assumed `attachment.text` was already sanitized full-document HTML, but that guarantee only existed for the new code-output extractor path. Existing stored attachments and other non-code paths can still carry plain extracted text — `useArtifactProps` would then inject that as `index.html` inside the Sandpack iframe. Adds a `textFormat: 'html' | 'text' | null` trust flag persisted on the file record by the code-output extractor, surfaced over the SSE attachment payload and the TFile API type. The client's routing in `detectArtifactTypeFromFile` requires `textFormat === 'html'` before landing on an office HTML bucket; everything else (legacy attachments, RAG-extracted plain text from `parseDocument`, explicitly-marked 'text' entries) falls back to the PLAIN_TEXT bucket where the markdown viewer escapes content rather than executing it. Tests: new `getExtractedTextFormat` helper has 14 cases covering all office paths, legacy XLS MIME aliases, parseDocument fallthroughs, and null-input. Client `artifacts.test.ts` adds three security-gate tests proving downgrade behavior for missing/null/'text' textFormat, plus a `fileToArtifact` test that legacy office attachments without the flag end up in PLAIN_TEXT with their content escaped. * 🌐 fix: air-gapped DOCX preview — embed mammoth fallback in CDN doc Codex P2 review on PR #12934: the CDN-rendered DOCX path always pulled docx-preview + jszip from cdn.jsdelivr.net. Air-gapped or corporate- filtered networks where jsdelivr is blocked would degrade to a static "Preview unavailable" message even though the server already had a local mammoth renderer that could produce readable output. Now the dispatcher renders mammoth first and embeds the sanitized output inside the CDN document as a hidden `#lc-fallback` block. The iframe's existing `typeof docx === 'undefined'` check (which fires when the CDN scripts can't load) un-hides the fallback so the user sees a real preview. CDN-success path is unchanged: high-fidelity docx-preview output owns the viewport, mammoth fallback stays hidden. Two new safeguards in the dispatcher: - Size budget: if base64(binary) + mammoth body + wrapper > 512 KB (the `attachment.text` cache cap), drop to mammoth-only so a giant document still renders. The `OFFICE_HTML_OUTPUT_CAP` constant mirrors `MAX_TEXT_CACHE_BYTES` from extract.ts (separate constant to avoid a circular import; pinned by a unit test). - `lc-render` is hidden when fallback shows so the empty padded slot doesn't sit above the mammoth content. Tests: existing CDN-path tests updated for the new `wordDocToHtmlViaCdn(buffer, mammothBody)` signature; new test for the embedded fallback structure (`#lc-fallback`, mammoth body content, "High-fidelity renderer unavailable" notice, render-slot hide); new constant pin and per-fixture cap-respect assertion. * 🧪 feat: LibreOffice → PDF preview path (POC, opt-in via env) Per the plan-mode discussion: prove out a LibreOffice subprocess pipeline as an alternative to the docx-preview / pptx-preview CDN renderers. LibreOffice handles every office format Microsoft and LibreOffice itself can open (DOCX, PPTX, XLSX, ODT, ODP, ODS, RTF, many more), produces a PDF, and the host browser's built-in PDF viewer renders it inside the Sandpack iframe via a `data:` URI. No client-side JS dependency, no CDN dependency, true high fidelity for any feature LibreOffice supports. Off by default. Operators opt in by setting both: - `OFFICE_PREVIEW_LIBREOFFICE=true` - LibreOffice (`soffice` or `libreoffice`) on the server's `$PATH` When either is missing, the dispatcher falls through to the existing CDN/mammoth/slide-list pipeline so a misconfiguration doesn't break previews. Hardening (`packages/api/src/files/documents/libreoffice.ts`): - Fresh subprocess per call with isolated temp dir, stripped env (PATH/HOME/TMPDIR only), and `-env:UserInstallation` so concurrent conversions can't collide on shared `~/.config/libreoffice` locks - 30-second wall-time cap; SIGKILL on timeout - 50 MB PDF output cap to bound disk pressure - 512 KB output cap on the wrapped HTML so the SSE/cache contract stays intact (base64 inflates ~33%, effective PDF cap ~380 KB) - Macros disabled by default flags (`--norestore --invisible --nodefault --nofirststartwizard --nolockcheck`) - Tag-distinct `LibreOfficeUnavailableError` / `LibreOfficeConversionError` so callers can swallow appropriately Iframe wrapper (`buildPdfEmbedDocument`): - Native browser PDF viewer via `<iframe src="data:application/pdf; base64,...">` — works in Chrome, Edge, Safari, Firefox - CSP locks the iframe to `default-src 'none'; frame-src data:; connect-src 'none'; script-src 'unsafe-inline'` — no outbound network, no eval, no external scripts - `#view=FitH` for first-paint sizing - 4-second heuristic timer that swaps to a "Preview unavailable" fallback when the browser's PDF viewer is disabled (kiosk mode, Brave Shields, etc.) Wired into `wordDocToHtml` and `pptxToHtml` as the first branch — returns null when disabled / unavailable / oversized so the existing pipeline takes over. XLSX intentionally NOT routed through this path: SheetJS's HTML output is already excellent for spreadsheets (sortable, sticky headers) and PDF rendering of sheets is awkward. Tests (`libreoffice.spec.ts`, 30 cases — 25 always run, 5 conditional on the binary): env-gating parser semantics matching `OFFICE_PREVIEW_DISABLE_CDN`, fallthrough contract (never throws, returns null on any failure), CSP lock-down, fallback structure, binary probe caching + missing-binary path, error tagging, and integration tests that engage when `soffice`/`libreoffice` is on PATH (DOCX→PDF, PPTX→PDF, output-cap fallthrough). Integration tests skip cleanly on bare CI. * 🩹 fix: CI — preserve legacy download path for empty-text office attachments Two regressions surfaced after the textFormat security gate landed. 1. **Client** (`LogContent.test.tsx` "falls back to the legacy download branch for an office file with no extracted text"): When the security gate downgraded an office type without `textFormat: 'html'` to PLAIN_TEXT, the lenient empty-text gate on PLAIN_TEXT then accepted a missing `text` field and rendered a half-empty panel card. The historical contract is "office type + no text → legacy download UI"; the downgrade should only fire when there's actual plain text that needs safe-escaping. Fix in `detectArtifactTypeFromFile`: short-circuit to null when the office type lands in the security-gate branch with no text. The PLAIN_TEXT downgrade still fires for legacy attachments that DO carry plain text. 2. **API** (`process.spec.js` + `process-traversal.spec.js`): the `@librechat/api` mocks didn't expose `getExtractedTextFormat`, so `processCodeOutput` called `undefined(...)` → TypeError → tests got undefined results. Added the helper to both mocks with a faithful default (returns 'text' for non-null extractor output, null otherwise). Tests: new regression in `artifacts.test.ts` pinning the empty-text + no-textFormat → null contract for all four office types (.docx/.csv/.xlsx/.pptx), so a future refactor can't silently re-introduce the half-empty card. * 🩹 fix: PPTX slides scale to fit panel width (no horizontal scroll) Manual e2e on PR #12934: pptx-preview rendered slides at their native init dimensions (960×540 default). The artifact panel is much narrower than that, so the iframe got a horizontal scrollbar and only a corner of each slide showed at any time — the user had to drag-scroll across each slide to read it. Fix: keep pptx-preview's init at 960×540 so its internal layout math stays correct, then post-process each rendered slide: - Cache the slide's native width/height on its dataset BEFORE applying any transform (so subsequent re-fits don't measure the already-transformed box). - Wrap the slide in `.lc-slide-wrap` with explicit width/height set inline to the scaled dimensions; the wrap shrinks the layout space the slide occupies. - Apply `transform: scale(panel_width / 960)` to the slide itself with `transform-origin: top left` so the rendered output shrinks from the top-left corner into the wrap. - Cap the scale at 1.0 so small slides don't upscale and get blurry. Streaming + resize: - `MutationObserver` watches the container for slide insertions so streaming renders get scaled on arrival rather than waiting for the entire `previewer.preview` promise to settle. - `ResizeObserver` re-fits all wrapped slides when the iframe resizes (panel drag, window resize). Tests: new "bootstrap wraps + scales each slide" lock in the wrap class, scale computation, observer setup, and native-size caching so a future refactor can't silently re-introduce the overflow. * 🩹 fix: PPTX wrap+scale runs after preview, not during streaming Manual e2e on PR #12934: regenerated PPTX showed "Preview unavailable" in the iframe. Root cause: the MutationObserver I added in the previous commit fired during pptx-preview's render and moved slides out from under the library's references. pptx-preview's async pipeline raised an unhandled rejection, the iframe's window-level listener caught it, and the fallback message replaced the partial render. Fix: drop the MutationObserver. Apply the wrap+scale ONCE in a `finalize` step that runs: - On `previewer.preview().then` (the happy path) - On the 8-second timeout safety net IF the container has children (silent-failure path — pptx-preview emitted slides but never resolved its outer promise) To prevent the user from seeing an unscaled flash while pptx-preview renders into the 960px-wide canvas, the container is set to `visibility: hidden` at init and only revealed inside `finalize` after wrap+scale completes. Resize handling stays via `ResizeObserver` on `document.body`, installed AFTER the wrap pass so it doesn't fire during the wrap itself. Tests: regression assertion now also locks in: - `container.style.visibility = 'hidden' / 'visible'` (the flash- prevention contract) - Absence of MutationObserver (the bug we just removed — must NOT creep back in via a future "let's scale during streaming" idea) * 🩹 fix: PPTX slides fill panel width (drop upscale cap, per-slide scale) Manual e2e on PR #12934: slides rendered correctly but didn't fill the artifact panel — whitespace on either side. Two issues: 1. The scale was capped at `Math.min(1, available / SLIDE_W)`. On panels wider than 960px, the cap clamped the scale to 1.0 and slides rendered at native size with whitespace on the sides instead of stretching. 2. The scale was computed against the constant `SLIDE_W = 960`, but pptx-preview can emit slides whose `offsetWidth` differs from the init param if the source PPTX has a non-16:9 layout. Per-slide division of `available / nativeW` handles that case. Fix: replace `computeScale()` with two helpers — `availableWidth()` returns the panel content-box width and `scaleFor(nativeW)` returns the per-slide scale. No upscale cap. The slide content is rendered by pptx-preview against its 960×540 canvas using vector text / canvas — scaling up to e.g. 1500px doesn't visibly degrade quality. Tests: regression now also asserts: - `availableWidth()` and `scaleFor()` exist by name - The exact scale formula `availableWidth() / (nativeW || SLIDE_W)` - Negative assertion that `Math.min(1, ...)` is NOT present, so a future "let's add an upscale cap" rewrite can't silently re-introduce the whitespace. * 🩹 fix: PPTX preview fills panel height (no white gap below slides) Manual e2e on PR #12934: PPTX preview filled the panel width but left empty space below the last slide. DOCX didn't have this issue because its content (mammoth-rendered HTML) flows naturally and either fits exactly or overflows; PPTX slides are fixed-aspect 16:9 and don't grow with the panel. Two changes: 1. **Body fills the iframe viewport** — `html, body { min-height: 100vh }` plus `body { display: flex; flex-direction: column }` and `#lc-render { flex: 1 0 auto }`. The dark theme bg now fills the iframe even when total slide content is shorter than the panel, so a single-slide deck never reveals a "white below" gap. 2. **Per-slide scale honors viewport height** — `scaleFor(nativeW, nativeH)` now returns `min(width-fit, height-fit)` (largest factor that fits without overflowing either dimension). On a tall artifact panel with a short deck, slides grow up to the full panel height instead of staying at the width-bound size. Existing height-fit was always considered correct conceptually but the previous implementation only used width-fit, leaving half the viewport unused per slide. Tests: regression now also asserts `availableHeight()`, the `Math.min(sw, sh)` formula, and `min-height: 100vh` are in the bootstrap. Negative assertion for the old `Math.min(1, ...)` upscale cap remains. * 🩹 fix: revert body flex on PPTX bootstrap (caused black-screen render) Manual e2e regression on PR #12934: the previous commit added `body { display: flex; flex-direction: column }` plus `#lc-render { flex: 1 0 auto }` to fill the panel height. Side effect: pptx-preview's internal layout assumes block flow on its ancestor elements; making body a flex container caused slides to render as solid-black rectangles (sized correctly, but with no visible content inside). Fix: keep just `html, body { min-height: 100vh }` for the bg-fill effect — that alone gives empty space below short decks the dark theme bg without changing flow. Drop the body-flex and the `#lc-render { flex: 1 0 auto }` directives. The height-aware `scaleFor(nativeW, nativeH)` from the same commit stays — it doesn't interact with pptx-preview's layout, just chooses a per-slide scale. Each slide still grows to fit the viewport contain-style. Negative-assertion added to the regression test: `body { display: flex }` must NOT appear in the bootstrap, so a future "let's flex the body to make height work" rewrite can't silently re-introduce this. (Note: the user also flagged DOCX theming as faint body text; I'm leaving that for now per their note that it may be pre-existing. Not addressed in this commit.) * 🩹 fix: revert PPTX height-fill changes; lock DOCX CDN to light scheme Two fixes for separate manual e2e regressions on PR #12934. **1. PPTX black screen (single slide rendering as solid black).** The previous fix removed `body { display: flex }` thinking that was the sole cause, but the regression persisted. Bisecting against the last known-good commit ( |
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1b79e0b785
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🧬 chore: Align LibreChat With Agents LangChain Upgrade (#12922)
* 🔧 chore: Update dependencies in package-lock.json and package.json - Bump version of @librechat/agents to 3.1.75-dev.0 in multiple package.json files. - Upgrade various AWS SDK and Smithy dependencies to their latest versions in package-lock.json for improved stability and performance. * 🔧 chore: Update AWS SDK and Smithy dependencies in package-lock.json - Bump version of @aws-sdk/client-bedrock-runtime to 3.1041.0 and update related dependencies for improved performance and stability. - Upgrade various AWS SDK and Smithy packages to their latest versions, ensuring compatibility and enhanced functionality. * chore: Align LibreChat with agents LangChain upgrade - Route LangChain imports through @librechat/agents facade exports - Update @librechat/agents to 3.1.75-dev.1 and remove direct LangChain deps - Normalize nullable agent model params and API key override typing - Update Google thinking config typing for newer LangChain packages - Refresh targeted audit-related dependency overrides * chore: Add Jest types for API specs * test: Fix LangChain upgrade CI specs * test: Exercise agents env facade * fix: Clean up TS preview diagnostics * fix: Address Codex review feedback |
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f3e1201ae7
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📌 fix: Stabilize Agent Prompt Cache Prefix (#12907)
* fix: stabilize agent prompt cache prefix * chore: refresh agents sdk lockfile integrity * test: format agent memory assertion * test: type agent context fixtures * fix: preserve MCP instruction precedence * fix: reuse resolved conversation anchor * fix: keep resumable startup immediate |
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74307e6dcc
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💭 feat: Require Explicit Auto-agent Enablement for Memories (#12886) | ||
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89bf2ab7b4
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💎 fix: Stop Double-Counting Cache Tokens for Gemini/OpenAI in Usage Spend (#12868)
* 💎 fix: Stop Double-Counting Cache Tokens for Gemini/OpenAI in Usage Spend (#12855) Different providers report `usage_metadata.input_tokens` with different semantics: - Anthropic / Bedrock: `input_tokens` EXCLUDES cache; cache reads/writes arrive separately and must be added to get the total prompt size. - Gemini / OpenAI: `input_tokens` ALREADY INCLUDES cached tokens (Google's `promptTokenCount`, OpenAI's `prompt_tokens`). Their `input_token_details.cache_*` are subsets of `input_tokens`. `recordCollectedUsage` treated both schemes as additive, so for cache-hit requests on Gemini/OpenAI it added cache tokens on top of an `input_tokens` value that already contained them — overcharging users by the cache_hit_rate (e.g., ~67% cache hit ≈ 1.67x overcharge). This matches the issue reporter's GCP billing comparison. Adds a small `splitUsage` helper that classifies the provider by model name and computes `inputOnly` (the non-cached portion) plus the all-inclusive `totalInput` for both the spend math and the returned `input_tokens` summary. The helper defaults to additive semantics (the historical behavior) so unknown providers are unaffected. Updates existing OpenAI-shaped tests that previously asserted the buggy additive math, and adds Gemini regression tests using the exact numbers from the issue report (input=11125, cache_read=7441 → input=3684). Anthropic / Bedrock paths remain bit-identical to before. * 🔧 refactor: Classify Cache-Token Semantics by Provider, Not Model Name Follows up the previous commit. Replaces a model-name regex (`gemini|gpt|o[1-9]|chatgpt`) with an explicit `Providers` enum lookup keyed off the `usage.provider` field — `UsageMetadata.provider` already exists in `IJobStore.ts` but was never being populated. - `callbacks.js#ModelEndHandler` now attaches `usage.provider` from `agentContext.provider` alongside `usage.model`. - `usage.ts` uses a `SUBSET_PROVIDERS` set (`openAI`, `azureOpenAI`, `google`, `vertexai`, `xai`, `deepseek`, `openrouter`, `moonshot`) backed by the canonical `Providers` enum from `librechat-data-provider`. - `xai`, `deepseek`, `openrouter`, `moonshot` extend `ChatOpenAI` so they inherit subset semantics (verified in node_modules). - Defaults to additive when `usage.provider` is missing, so the title flow (which doesn't propagate provider) and any pre-this-PR usage entries keep their existing behavior. Tests: switch fixtures from model-name signaling to explicit `provider` field, plus a Vertex AI case and a "missing provider" fallback case. |
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46a86d849f
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🛂 fix: Skip Inherited / Mark Skill Files Read-Only in Code-Env Pipeline (#12866)
* 🛂 fix: Skip Re-Download of Inherited Code-Env Files (No More 403 Storms) When a bash/code-interpreter call lists or operates on inputs the user already owns (skill files primed via primeInvokedSkills, files inherited from a prior session), codeapi echoes those files back in the tool result with `inherited: true`. We were treating every entry as a generated artifact and calling processCodeOutput on each, which: 1. Hit `/api/files/code/download/<session_id>/<file_id>` with the user's session key. Skill files are uploaded under the skill's entity_id, so every download 403'd — producing dozens of "Unauthorized download" log lines per turn. 2. Surfaced those inputs as ghost file chips in the UI even though they were never generated by the run. 3. Wasted a download round-trip even when no auth boundary was crossed — the file is already persisted at its origin. Fix: skip files where `file.inherited === true` in all three artifact-files loops (`tools.js`, `createToolEndCallback`, and `createResponsesToolEndCallback`). Skill files remain available to subsequent calls via primeInvokedSkills / session inheritance — we just don't redundantly re-download them. Pairs with codeapi-side change that adds the `inherited` flag. * 🔒 feat: Mark Skill Files as `read_only` During Code-Env Priming Pairs with codeapi `read_only` upload flag (ClickHouse/ai#1345). When LibreChat primes a skill into the code-env, every file in the batch (SKILL.md plus all bundled scripts/schemas/docs) is now uploaded with `read_only: true`. Codeapi seals these inputs at the filesystem layer (chmod 444) and the walker echoes the original refs as `inherited: true` regardless of whether sandboxed code modified the bytes on disk. Without this, the previous PR's `inherited` skip handled only the unchanged case. A modified skill file (pip writing pyc near a .py, a script accidentally truncating LICENSE.txt, etc.) still flowed through the modified-input branch on codeapi, got a fresh user-owned file_id, uploaded as a "generated" artifact, and surfaced in the UI as a chip the user couldn't actually authorize a download for. Changes: - `api/server/services/Files/Code/crud.js`: `batchUploadCodeEnvFiles({ ..., read_only })` forwards the flag as a multipart form field. Default `false` preserves existing behavior for user-attached files and prior-session inheritance. - `packages/api/src/agents/skillFiles.ts`: type signature gains `read_only?: boolean`; `primeSkillFiles` passes `true`. - `packages/api/src/agents/skillFiles.spec.ts`: assert the upload call carries `read_only: true`. The flag is intentionally not skill-specific. Any future infrastructure-input flow (system fixtures, cached datasets, etc.) can opt in the same way. |
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24e29aa8cb
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🌱 fix: Inject Code-Tool Files Into Graph Sessions on First Call (+ read_file Sandbox Fallback) (#12831)
* 🌱 fix: Seed Code Tool Files Into Graph Sessions on First Call
Files attached to an agent's `tool_resources.execute_code` (user uploads
or generated artifacts from a prior turn) were silently dropped on the
first `execute_code` invocation of a turn. The agents-side `ToolNode`
populates `_injected_files` only when its `sessions` map already has an
`EXECUTE_CODE` entry — but that entry is only written by a previous
successful execution, so call #1 had nothing to inject. CodeExecutor
then fell back to a `/files/{session_id}` fetch, but `session_id` was
also empty on call #1, leaving the sandbox without the primed files.
Mirror the existing skill-priming pattern (`primeInvokedSkills` →
`initialSessions`) for code-resource files: eagerly call `primeFiles`
before `createRun` and merge the result into `initialSessions` via a
new `seedCodeFilesIntoSessions` helper. Skill files and code-resource
files now share the same `EXECUTE_CODE` entry; the prior representative
`session_id` is preserved on merge.
* 🔬 chore: Add Diagnostic Logging for Code-Files Seeding
Temporary debug logs to diagnose why first-call file injection is not
firing in real agent runs. Logs `wantsCodeExec`, available tool-resource
keys, primed file count, and the seeded EXECUTE_CODE entry. Will revert
once the failure mode is identified.
* 🪛 refactor: Capture primedCodeFiles per-agent at init, merge across run
Replace the client.js eager `primeFiles` call with a per-agent capture at
initialization time so every agent in a multi-agent run (primary +
handoff + addedConvo) contributes its `tool_resources.execute_code`
files to the shared `Graph.sessions` seed.
- handleTools.js (eager loadTools): the `execute_code` factory closes
over a `primedCodeFiles` slot and surfaces it in the return.
- ToolService.js loadToolDefinitionsWrapper (event-driven): captures
`files` from the existing `primeCodeFiles` call (was dropping them
while only keeping `toolContext`) and surfaces them.
- packages/api initialize.ts: the loadTools callback contract now
includes `primedCodeFiles`, threaded onto `InitializedAgent`.
- client.js: iterate `[primary, ...agentConfigs.values()]` and merge
each agent's `primedCodeFiles` into `initialSessions`. Drop the
primary-only `primeCodeFiles` call and diagnostic logs from the prior
attempt — wrong layer (single-agent), wrong gate (`agent.tools`
contained Tool instances after init, so the `.includes("execute_code")`
string check always failed).
* 🔬 chore: Add per-agent diagnostic logs for code-files seeding
Logs `tool_resources` keys + file counts inside loadToolDefinitionsWrapper
and per-agent `primedCodeFiles` + final initialSessions inside
AgentClient. Will revert once the failure mode is confirmed.
* 🔬 chore: Add file-lookup diagnostics inside initializeAgent
Logs the inputs and intermediate counts of the conversation-file lookup
chain (convo file ids, thread message ids, code-generated and
user-code file counts) so we can pinpoint why `tool_resources.execute_code`
is arriving empty at `loadToolDefinitionsWrapper` despite the agent
having `execute_code` in its tools list.
* 🔬 chore: Probe execute_code files without messageId filter
Adds a relaxed `getFiles({conversationId, context: execute_code})` probe
that runs only when `getCodeGeneratedFiles` returns empty. Lists what's
actually in the DB for this conversation so we can confirm whether the
file is missing entirely or whether the messageId filter is rejecting it.
* 🔬 chore: Fix probe getFiles arg order (sort vs projection)
Probe was passing a projection object as the sort arg, which mongoose
rejected with `Invalid sort value`. Move it to the third arg
(selectFields) so the probe actually runs.
* 🪢 fix: Preserve Original messageId on Code-Output File Update
Each `processCodeOutput` call was overwriting the persisted file's
`messageId` with the *current* run's id. When a turn re-creates an
existing file (filename + conversationId match → `claimCodeFile`
returns the existing record, `isUpdate=true`), the file's link to
the assistant message that originally produced it gets clobbered.
`initializeAgent` later runs `getCodeGeneratedFiles({messageId: $in: <thread>})`
to seed `tool_resources.execute_code` from prior-turn artifacts. With a
stale `messageId` (e.g. from a failed read attempt that re-shelled the
same filename), the file no longer matches the parent-walk thread, so
`tool_resources` arrives empty at agent init, the new
`primedCodeFiles` channel has nothing to seed, and the LLM can't see
its own prior-turn artifacts on the next turn — defeating the
just-added Graph-sessions seeding fix.
Preserve the existing `claimed.messageId` on update; first-creation
behavior is unchanged. The runtime return value still includes the
current run's `messageId` (via `Object.assign(file, { messageId })`)
so the artifact is correctly attributed to the live tool_call.
* 🧹 chore: Remove diagnostic logs from code-files seeding path
Drops the temporary debug logs added to trace the empty-tool_resources
failure mode. Production code paths (loadToolDefinitionsWrapper,
client.js seed loop, initializeAgent file lookup) are left as the
permanent shape: capture primedCodeFiles, merge across agents, seed
initialSessions before run start.
* 🪛 feat: read_file Sandbox Fallback for /mnt/data + Non-Skill Paths
When the model called `read_file` with a code-execution path (e.g.
`/mnt/data/sentinel.txt`), the handler returned a misleading
`Use format: {skillName}/{path}` error. Adds a sandbox-aware fallback:
- Short-circuit `/mnt/data/...` (can never be a skill reference) →
route to a sandbox `cat` via the new host-provided `readSandboxFile`
callback, which POSTs to the codeapi `/exec` endpoint.
- Skip the skill resolver entirely when `accessibleSkillIds` is empty
— the resolved-output of `resolveAgentScopedSkillIds` already
collapses the admin capability + ephemeral badge + persisted
`skills_enabled` chain, so an empty value is the authoritative
"skills aren't in scope for this agent" signal.
- For `{firstSegment}/...` paths, consult the catalog-derived
`activeSkillNames` Set (no DB read) to detect non-skill names and
fall through to the sandbox before the model has to retry with
`bash_tool`.
`activeSkillNames` is captured from `injectSkillCatalog`, threaded onto
`InitializedAgent`, into `agentToolContexts`, then through
`enrichWithSkillConfigurable` into `mergedConfigurable` for the handler.
The host implementation of `readSandboxFile` lives in
`api/server/services/Files/Code/process.js` and shells `cat <path>`
through the seeded sandbox session — `tc.codeSessionContext`
(emitted by ToolNode for `read_file` calls in `@librechat/agents`
v3.1.72+) provides the `session_id` + `_injected_files` so the read
lands in the same sandbox that holds prior-turn artifacts. When the
seeded context isn't available (older agents version, no codeapi
configured), the handler returns a model-visible error pointing at
`bash_tool` instead of silently failing.
Tests: 8 new `handleReadFileCall` cases cover the new short-circuits,
the skills-not-enabled gate, the activeSkillNames lookup, the
sandbox-fallback success path, and the bash_tool retry hint on
fallback failure. Existing `read_file` tests now opt into "skills are
in scope" via a `skillsInScope()` fixture (production wouldn't reach
the skill lookup with empty `accessibleSkillIds`).
* 🔧 chore: Update @librechat/agents dependency to version 3.1.72
Bumps the version of the @librechat/agents package across package-lock.json and relevant package.json files to ensure compatibility with the latest features and fixes.
* 🪛 refactor: Centralize Tool-Session Seed in buildInitialToolSessions Helper
Addresses review feedback on the per-agent merge in client.js:
- **Run-wide semantics, named explicitly.** The merge into a single
`Graph.sessions[EXECUTE_CODE]` was a deliberate match to the
agents-library design (`Graph.sessions` is shared across every
`ToolNode` in the run), but the inline `for (const a of agents)`
loop in `AgentClient.chatCompletion` made it look per-agent. Move
the logic to a TS helper `buildInitialToolSessions` that documents
the run-wide-by-design contract in one place. The CJS controller
now contains a single call site, no business logic.
- **Subagent walk (P2).** The previous loop only iterated
`[primary, ...agentConfigs.values()]`. Pure subagents are pruned
out of `agentConfigs` after init and retained on each parent's
`subagentAgentConfigs`, so their primed code files were silently
dropped from the seed. The helper now walks recursively, with a
visited-Set keyed on object identity that terminates safely on a
malformed agent graph (cycle).
- **`jest.setup.cjs` polyfill for undici `File`.** Reviewer hit
`ReferenceError: File is not defined` running the targeted spec on
WSL — a known Node 18 issue where `globalThis.File` from
`node:buffer` isn't auto-exposed. Polyfill it inside a Jest setup
file so the suite boots regardless of Node patch version.
Helper test coverage (8 new): skill-only / agent-only / both,
recursive subagent walk, cycle-safe walk, primary+subagent
deduplication, undefined/null entries in the agents iterable, and
representative session_id preservation across the merge.
16 tests pass total in `codeFilesSession.spec.ts` (8 prior + 8 new).
No behavior change vs. the previous commit for the existing
primary+agentConfigs case — subagent inclusion is the only new
behavior, and it matches what the existing seeding logic would have
done if subagents had been in `agentConfigs`.
* 🪛 fix: FIFO Walk Order in buildInitialToolSessions (P3 review)
The traversal used `Array.pop()` (LIFO), which visited the LAST
top-level agent first. The docstring says "primary first"; the code
contradicted it. When no skill seed exists the first-visited agent's
first file supplies the representative `session_id` written to
`Graph.sessions[EXECUTE_CODE]` — so a LIFO walk silently flipped which
agent that came from. `ToolNode` ultimately uses per-file `session_id`s
for runtime injection (so behavior was indistinguishable for current
callers), but the discrepancy was a footgun for any future consumer
that read the representative.
Switch to FIFO via `Array.shift()` to match both the docstring and the
existing `loadSubagentsFor` walk pattern in
`Endpoints/agents/initialize.js`. Add a regression test that asserts
the primary's `session_id` is the representative (and that all three
agents' files still contribute, with per-file `session_id`s preserved).
* 🔬 test: Lock In Code-Files Bug Fixes Per Comprehensive Review
Addresses MAJOR + MINOR + NIT findings from the multi-pass review:
**Finding #4 (MINOR) — empty relativePath misses sandbox fallback.**
A model calling `read_file("output/")` where "output" isn't a skill
name dead-ended with `Missing file path after skill name` instead of
being routed to the sandbox like every other malformed-path branch.
Add the same `codeEnvAvailable → handleSandboxFileFallback` pattern,
plus two regression tests.
**Finding #7 (NIT) — duplicate `skillsInScope()` helper.**
Hoist the identical helper out of two nested describe blocks to
module scope. Single source of truth.
**Finding #1 (MAJOR) — `persistedMessageId` had zero test coverage.**
The fix preserves a file's original `messageId` on update so
`getCodeGeneratedFiles` can still match it on subsequent turns. A
regression in the `isUpdate ? (claimed.messageId ?? messageId) : messageId`
ternary would silently re-introduce the original cross-turn priming
bug. Five new tests cover:
- UPDATE preserves `claimed.messageId` in the persisted record
- UPDATE falls back to current run id when `claimed.messageId` is
absent (legacy records predating the field)
- CREATE uses current run id (no claimed record exists)
- The runtime return value uses the LIVE id (artifact attribution)
even when the persisted record kept the original
- The image branch follows the same contract (would silently regress
if the ternary diverged across the two file-build branches)
The tests use a `snapshotCreateFileArgs()` helper because
`processCodeOutput` mutates the file object after `createFile`
returns (`Object.assign(file, { messageId, toolCallId })`) and a
naive `createFile.mock.calls[0][0]` would reflect the post-mutation
state instead of what was actually persisted.
**Finding #2 (MAJOR) — `readSandboxFile` had no direct tests.**
The model-controlled `file_path` flows through a POSIX single-quote
escape into a shell `cat` command, making this a security boundary.
A quoting regression would let a malicious filename break out of the
quoted argument and inject arbitrary shell. 20 new tests across:
- Shell quoting (7): plain filenames, embedded `'`, `$()`, backticks,
newlines, shell metachars, multiple consecutive single-quotes
- Payload shape (6): /exec URL, bash language, conditional
session_id / files inclusion, dedicated keepAlive:false agents
- Response handling (6): `{content}` on success, null on missing
base URL or absent stdout, throws on stderr-only, partial-success
returns stdout, transport errors are logged then rethrown
- Timeout (1): matches processCodeOutput's 15s SLA
Audited findings #5 (acknowledged tech debt — readSandboxFile in JS
workspace), #6 (pre-existing positional-args debt on
enrichWithSkillConfigurable), and #8 (cosmetic JSDoc style) — no
action taken per the reviewer's own assessment.
Audited finding #3 (walk order vs docstring) — already addressed in
commit
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596f806f60 |
🛡️ fix: Strict Opt-In Skills Activation per Agent (#12823)
* 🛡️ fix: Strict opt-in skills activation per agent
Skills were activating on every agent run that had the capability +
RBAC enabled, regardless of whether the user (ephemeral) or author
(persisted) had opted in. `scopeSkillIds(undefined)` fell through to
"full accessible catalog" whenever `agent.skills` was unset, which is
the default state for any agent created before skills existed and for
every ephemeral agent.
Activation now requires an explicit signal:
- Ephemeral agent → per-conversation skills badge toggle.
- Persisted agent → new `skills_enabled` master switch on the agent
doc, surfaced as a toggle in the Agent Builder skills section.
Enabled + empty/undefined allowlist = full accessible catalog;
enabled + non-empty allowlist = narrow to those ids; disabled (or
undefined) = no skills available, even if an allowlist is set.
Centralised the predicate in `resolveAgentScopedSkillIds` so the
primary-agent path, handoff/discovery, the subagent loop, and both
OpenAI controllers all share one source of truth. Frontend `$`
popover scope mirrors the same logic so the UI never offers skills
the backend would refuse to activate.
* test: mock resolveAgentScopedSkillIds in agent controller specs
* refactor: address review findings on skills opt-in PR
- AgentConfig: associate skills label with toggle via htmlFor for
click/keyboard affordance; simplify Switch handler to Boolean(value).
- skills: mark scopeSkillIds as @internal so runtime callers continue
to route through resolveAgentScopedSkillIds and inherit the activation
predicate (ephemeral toggle, persisted skills_enabled).
* fix(agents): include skills_enabled in agent list projection
Without this field, agents loaded via the list endpoint hydrate into the
client agentsMap with skills_enabled === undefined, causing the `$`
skill popover to hide every skill on a fresh page load even when the
agent was saved with skills_enabled: true.
* fix(skills): fail closed for persisted agents during agentsMap hydration
Returning undefined while the agents map loads let the popover render the
full catalog for a persisted agent before we could read its
skills_enabled flag, so the user could pick a skill the backend would
then refuse for the turn. Match the strict opt-in contract by returning
[] until the map is authoritative.
* refactor(skills): extract skillsHintKey for readability
Replaces the nested ternary in the skills section JSX with a
pre-computed constant so the activation -> hint key mapping reads
top-down.
* refactor(skills): unflatten skillsHintKey to remove nested ternary
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d83cb84f59 |
🪆 feat: Subagent configuration in Agent Builder (#12725)
* 🪆 feat: Subagents configuration (isolated-context child agents) Surfaces the new @librechat/agents `SubagentConfig` primitive in the Agent Builder. Subagents let a supervisor delegate a focused subtask to a child graph running in an isolated context window: verbose tool output stays in the child, only a filtered summary returns to the parent. Data model: new `subagents: { enabled, allowSelf, agent_ids }` on Agent, wired through the Zod, Mongoose, and form schemas plus a new `AgentCapabilities.subagents` capability (enabled by default). Backend: `initialize.js` loads explicit subagent configs alongside handoff agents, and drops subagent-only references from the parallel/handoff maps so they don't leak into the supervisor's graph. `run.ts` emits `SubagentConfig[]` on the primary `AgentInputs` — a self-spawn entry when `allowSelf` is enabled plus one entry per configured agent. UI: an "Advanced" panel section with an enable toggle, a self-spawn toggle, and an agent picker (capped at 10). Enabling without adding agents still yields self-spawn; disabling self-spawn with no agents shows a warning. A capability flag gates the whole section. * 🪆 feat: Stream subagent progress to UI (dialog + inline ticker) Pairs with the @librechat/agents SDK change that forwards child-graph events through the parent's handler registry (danny-avila/agents#107): - Self-spawn and explicit subagents can now use event-driven tools, because child `ON_TOOL_EXECUTE` dispatches reach our ToolService via the parent's registered handler. - The same forwarding path wraps the child's run_step / run_step_delta / run_step_completed / message_delta / reasoning_delta dispatches in a new `ON_SUBAGENT_UPDATE` envelope, with start/stop/error bookends. Backend: `callbacks.js` registers an `ON_SUBAGENT_UPDATE` handler that forwards each envelope straight to the SSE stream. Frontend: - `useStepHandler` consumes `ON_SUBAGENT_UPDATE` events and merges them into a per-tool_call Recoil atom (`subagentProgressByToolCallId`). First-seen `subagentRunId` claims the most-recent unclaimed `subagent` tool call in the active response message — a temporal mapping, no SDK wire-format change needed to correlate child runs with parent tool calls. - New `SubagentCall` part component replaces the default `ToolCall` rendering when `toolCall.name === Constants.SUBAGENT`: compact status ticker showing the 3 most recent update labels, clickable to open a dialog with the full activity log + final markdown-rendered result. - Adds `Constants.SUBAGENT`, `StepEvents.ON_SUBAGENT_UPDATE`, and `SubagentUpdateEvent` type in data-provider. Tests: - `packages/api npx jest run-summarization` — 23 pass - `api npx jest initialize` — 16 pass - `npm run build` — clean Dependency note: bumps `@librechat/agents` to `^3.1.67-dev.1` — requires the SDK PR (danny-avila/agents#107) to be merged to dev and published before this PR merges. `ON_SUBAGENT_UPDATE` is absent from dev.0, so the handler registration would be a no-op with the older SDK but would not crash. * 🪆 fix: address Codex review and review audit on subagents Stacks on top of the SDK change in danny-avila/agents#107 (bumped to `^3.1.67-dev.2`). - **P1 (`initialize.js`)**: subagent-only agents were being deleted from both `agentConfigs` AND `agentToolContexts`. The tool-execute handler resolves execution context (agent, tool_resources, skill ACLs) from `agentToolContexts`, so explicit subagents would run without their configured resources and skip action tools. Now only `agentConfigs` is pruned — tool context stays intact. - **P2 (`AgentSubagents.tsx`)**: toggling subagents off set the form field to `undefined`; `removeNullishValues` stripped it from the PATCH, leaving the server copy enabled. Now it persists an explicit `{ enabled: false, ... }` so the update actually clears state. - **Finding 1 (MAJOR)** — `agent_ids` Zod schema gains `.max()` via a new `MAX_SUBAGENTS` export from `data-provider` (shared with the UI cap). Crafted payloads can't trigger hundreds of `processAgent` calls. - **Finding 2 (MAJOR)** — `subagentProgressByToolCallId` atomFamily atoms are now tracked in a ref and reset from `clearStepMaps` via a `useRecoilCallback({ reset })`. No monotonic growth across a session. - **Finding 3 (MAJOR)** — early-arriving `ON_SUBAGENT_UPDATE` events whose parent `tool_call_id` is not yet mapped are now buffered in `pendingSubagentBuffer` (keyed by `subagentRunId`) and replayed in arrival order once correlation completes. Mirrors the existing `pendingDeltaBuffer` pattern. - **Finding 4 (MAJOR)** — switched to deterministic correlation via the new `parentToolCallId` that SDK `3.1.67-dev.2` threads through from `ToolRunnableConfig.toolCall.id`. Temporal fallback now iterates oldest-unclaimed-first (forward), matching tool-call creation order, so concurrent spawns map correctly. - **Finding 6 (MINOR)** — `agent_ids` are deduped on the backend via `new Set(...)` before the load loop. Duplicates no longer produce duplicate `SubagentConfig` entries visible to the LLM. - **Finding 7 (MINOR)** — events array inside each Recoil atom is capped at 200 entries. Long-running subagents no longer replay O(n) spreads on every update; the dialog log still shows the cap window. - **Finding 8 (MINOR)** — documented: subagents are loaded only for the primary agent this release (handoff children get self-spawn but not explicit sub-subagents). In-code comment added so the next maintainer doesn't wonder. - **Finding 9 (NIT)** — removed `{!isSubmitting && null}` dead code and the misleading announce-polite comment in `SubagentCall`. - New `validation.spec.ts` — 9 tests covering the cap on `agent_ids.length` at the subagent schema, agent-create, and agent-update layers. - `run-summarization` — 23 pass, `initialize` — 16 pass, total backend package: 103 pass across touched areas. Findings 5 (component tests) and 10 (micro-allocation) are tracked but deferred; the former needs a Recoil-RenderHook harness that isn't in this PR's scope, and the latter has negligible impact (one `Array.from` per subagent run). * 🧪 test: integration coverage for subagent correlation + backend loading Addresses the follow-up audit on #12725 with real-code tests (no mock handlers, only the existing setMessages/getMessages spies and the standard mongodb-memory-server harness). Six new tests under a dedicated `describe('subagent loading')`: - loads a configured subagent, populates `subagentAgentConfigs`, keeps it out of `agentConfigs` - **P1 regression guard**: drives the real `toolExecuteOptions.loadTools` closure with the subagent id and asserts `loadToolsForExecution` is called with `agent: <subagent>`, `tool_resources`, `actionsEnabled`. If anyone deletes `agentToolContexts` again, this fails. - dedup: three copies of the same id load the agent once - overlap: agent referenced both as handoff target and subagent stays in `agentConfigs` - capability gate: admin disabling `subagents` suppresses loading even when the agent has a config - per-agent disable: `subagents.enabled: false` skips loading entirely Five new tests under `describe('on_subagent_update event')` using a real `RecoilRoot` and a companion `useRecoilCallback` reader so writes from the hook are observable: - deterministic correlation via `parentToolCallId` (happy path with SDK dev.2+) - fallback: oldest-unclaimed tool call wins for concurrent spawns without `parentToolCallId` - early-arrival buffer: updates with no mapping get buffered and replayed once the tool call appears - event cap: 205 updates collapse to 200 retained, oldest dropped - `clearStepMaps` resets tracked atoms back to their null default - F2 — added explicit `// TODO` marker for handoff-subagent-loading extension (matches the comment that referenced it). - F3 — dropped the unnecessary `MAX_SUBAGENTS as MAX_SUBAGENTS_CAP` alias; just import the constant directly. - Bumped `@librechat/agents` to `^3.1.67-dev.3` to pick up the SDK's paired test additions. - `api/server/services/Endpoints/agents/initialize.spec.js` — 22 pass (6 new + 16 existing) - `packages/api/src/agents/validation.spec.ts` + `run-summarization.test.ts` — 103 pass - `client/src/hooks/SSE/__tests__/useStepHandler.spec.ts` — 48 pass (5 new + 43 existing) * 🪆 fix: strip parent run summary + discovered tools from subagent inputs Codex P1 on #12725: `buildSubagentConfigs` reused the shared `buildAgentInput` factory for each explicit child, and that factory always stamps the parent run's `initialSummary` (cross-run conversation summary) and `discoveredTools` (tool names the parent's LLM searched earlier) onto every `AgentInputs` it returns. When subagents were enabled on a conversation that had already been summarized, every child inherited that summary — silently defeating the isolated-context contract and burning extra tokens on unrelated prior chat. Fix in `run.ts`: after `buildAgentInput(child)`, explicitly clear `childInputs.initialSummary` and `childInputs.discoveredTools` before attaching to the `SubagentConfig`. The parent keeps both — that's how the supervisor receives cross-turn context — but the child starts fresh. Paired with danny-avila/agents#107 (bumped to `^3.1.67-dev.4`), which adds the equivalent strip inside `buildChildInputs` to cover the self-spawn path where the SDK clones parent `_sourceInputs` directly and LibreChat never sees the intermediate shape. Belt and suspenders. Regression test (new): - `does NOT leak the parent run initialSummary into an explicit child (Codex P1 regression)` — sets `initialSummary` on the run, enables subagents with an explicit child, asserts the parent still has the summary but `childConfig.agentInputs.initialSummary` is `undefined`. Same for `discoveredTools`. 24 pass. * 🪆 fix: capability gate applies to handoff agents + parallel subagent test ### Codex P2 — handoff agents kept `subagents` after capability disabled The endpoint-level `AgentCapabilities.subagents` gate only cleared `subagents` on `primaryConfig`. Handoff agents loaded into `agentConfigs` retained their persisted `subagents.enabled: true`, and because `run.ts` calls `buildSubagentConfigs` for every agent input, self-spawn would still fire on a handoff target even when the admin had disabled the capability globally. Fix in `initialize.js`: after the subagent loading block, when the capability is off, iterate `agentConfigs.values()` and clear `subagents` + `subagentAgentConfigs` on every loaded config. Regression test: `clears subagents on handoff agents too when capability is disabled (Codex P2 regression)` — seeds a handoff target with its own `subagents.enabled: true`, disables the capability at the endpoint, asserts both primary AND handoff have `subagents` undefined in the client args. 23 init tests pass. ### Parallel subagent correlation — user-requested verification Added `keeps parallel subagent streams independent when events interleave` to `useStepHandler.spec.ts`. Two `subagent` tool calls seeded side by side, 6 interleaved `ON_SUBAGENT_UPDATE` envelopes dispatched (a-start, b-start, a-step, b-step, a-stop, b-step), each carrying its own `parentToolCallId`. Asserts each `tool_call_id`'s Recoil bucket accumulates only its own run's events, statuses reflect each run independently (`call_a` → stop, `call_b` → run_step), no cross-contamination. 49 step-handler tests pass. * 🪆 fix: SubagentCall detects cancelled / errored states (Codex P2) Codex P2 on #12725: the old `running` check only consulted `initialProgress` and the subagent's phase. A user stop, dropped stream, or backend crash before a terminal `stop`/`error` envelope arrived would leave the ticker permanently stuck on "working…". Other *Call components (ToolCall.tsx) already model this via `!isSubmitting && !finished` → cancelled. Mirror that pattern. Re-introduce `isSubmitting` on `SubagentCallProps` (the prop was dropped earlier as 'unused' — that was a bug) and resolve status as a tri-state: - `finished` — initialProgress >= 1, or subagent `stop`/`error` - `cancelled` — `!isSubmitting && !finished` - `running` — neither New locale keys `com_ui_subagent_cancelled` + `com_ui_subagent_errored` swap in the right header text per state. Tests: new `SubagentCall.test.tsx` covers all four states with a real `RecoilRoot` and a `useRecoilCallback` seeder — no mocked store — 5/5 pass. Includes an explicit P2 regression test that simulates the `isSubmitting=false, progress.status='run_step', initialProgress<1` scenario and asserts the cancelled label renders. * 🪆 feat: semantic ticker + aggregated content-part dialog for subagents Two rounds of feedback on #12725: ### Ticker — user-readable lines, not raw event names The old ticker showed \`on_run_step\`, \`on_message_delta\`, etc. — not meaningful to users. Replaced with \`buildSubagentTickerLines\`, a pure helper that walks the \`SubagentUpdateEvent\` stream and emits: - message/reasoning deltas → a single live "Writing: <last 60 chars>" (or "Reasoning: …") line that updates in place as chunks arrive - run_step with tool_calls → "Using calculator(expression=42*58)" for a single call, "Using tool: a, b" for parallel (args dropped when multiple so the line stays short) - run_step_completed → "calculator → 42*58 = 2436" (output truncated to 48 chars; falls back to "Tool X complete" when output is empty) - error → "Error: <message>" - start / stop / run_step_delta → suppressed (too granular / lifecycle-only) Args and output pass through \`summarizeArgs\` / \`summarizeOutput\` which flatten JSON to \`key=value\` pairs and head-truncate long strings so a 200-line tool output never bloats the ticker. ### Dialog — aggregated content parts via leaf renderers \`aggregateSubagentContent\` folds the raw event stream into \`TMessageContentParts[]\` — text/reasoning delta streaks collapse into single \`TEXT\` / \`THINK\` parts, tool calls become \`TOOL_CALL\` parts, and \`run_step\` boundaries correctly break text runs around tool calls. The dialog iterates those parts through a \`SubagentDialogPart\` renderer that delegates to the existing \`Text\`, \`Reasoning\`, and \`ToolCall\` leaf components — the same sub-components \`<Part />\` uses — wrapped in a minimal \`MessageContext\` so reasoning expand state and cursor animation work. Leaf components are used directly rather than importing \`<Part />\` itself to avoid a module cycle (Part → Parts/index → SubagentCall → Part) and to sidestep a hypothetical nested-subagent rendering. ### Tests - \`subagentContent.test.ts\` — 19 pure-function tests covering the aggregator (text concat, reasoning concat, tool call lifecycle, interleaving, phase suppression, late-arriving completions) and the ticker builder (live preview truncation, args/output snippets, parallel-call handling, output truncation, i18n formatter override). - \`SubagentCall.test.tsx\` — 9 component tests: 5 status-resolution (existing) + 2 ticker (semantic text, delta collapse) + 2 dialog (aggregated parts routed to leaf renderers, raw-output fallback). ### Locale keys New: \`com_ui_subagent_ticker_writing\`, \`…_reasoning\`, \`…_error\`, \`…_using\`, \`…_using_with_args\`, \`…_tool_complete\`, \`…_tool_output\`. Preserves i18n at the display layer while the helper stays pure. * chore: drop unused com_ui_subagent_activity_log locale key The dialog no longer renders an "Activity log" section — the new content-parts renderer replaced it. Also tweaks the dialog description copy to match. * 🪆 fix: subagent dialog order, persistence, auto-scroll, width Follow-up pass addressing the four issues observed in real runs against a live subagent-using parent. ### Aggregator ordering (reasoning appearing after text it preceded) Reproducible pattern: LLM emits reasoning → text → tool call in that order, but the dialog rendered text BEFORE reasoning in the content array. Root cause: `aggregateSubagentContent` maintained `currentText` and `currentThink` buffers in parallel and only flushed them at a `run_step` boundary in a fixed (text, think) order, losing the actual arrival order. Fix: when a text chunk arrives, close any open think buffer first (pushes it into the content array right then); symmetric for think → text. Two new regression tests cover the exact reasoning → text → tool_call sequence from the screenshot and the repeated reasoning ↔ text flow across a turn. ### Content persists after completion (markdown not rendering when done) `clearStepMaps` was calling `resetSubagentAtoms()` at stream end, which wiped every `subagentProgressByToolCallId` entry. Once reset, `contentParts.length === 0` and the dialog fell back to rendering the raw `output` string with plain text — hence the literal `##`/`**` in the completed-state screenshot. Stopped resetting; the atoms are bounded per-call (200-event cap) and per-conversation (one per subagent spawn) so growth matches the rest of the conversation state. `resetSubagentAtoms` is kept for a future conversation-switch caller. Also: routed the raw-`output` fallback (older subagent runs recorded before the event forwarder existed) through the same `SubagentDialogPart` → `Text` leaf that content parts use, so its markdown renders the same way. ### Auto-scroll to bottom while running Added a `scrollRef` on the dialog body and a `useEffect` that pins `scrollTop = scrollHeight` while the dialog is open AND the subagent is running. Triggers on `contentParts.length` (new tool calls / part boundaries) and `events.length` (intra-part deltas) so the cursor tracks text streaming. Disabled post-completion so re-opening a finished run doesn't yank to the bottom. ### Wider dialog Went from `max-w-2xl` (42rem / 672px — too cramped on maximized laptop windows) to `w-[min(95vw,64rem)] max-w-[min(95vw,64rem)]`. Narrow on phones, scales up to 64rem on desktop, always leaves a bit of margin from the viewport edge. Bumped `max-h-[65vh]` on the scroll area to give the extra width room to breathe vertically too. ### Tests - `subagentContent.test.ts` — 21 pass (2 new ordering regressions). - `useStepHandler.spec.ts` — 49 pass (1 updated to assert atoms are *preserved* on clearStepMaps). - `SubagentCall.test.tsx` — 9 pass (unchanged; aggregator-level tests cover the ordering). * 🪆 feat: persist subagent_content via SDK createContentAggregator Per-request map of createContentAggregator instances keyed by the parent's tool_call_id. ON_SUBAGENT_UPDATE handler feeds each event into the matching aggregator (phase → GraphEvent mapping); AgentClient harvests contentParts onto the subagent tool_call at message save so the child's reasoning / tool calls / final text survive a page refresh. Reusing the SDK's battle-tested aggregator instead of a bespoke one keeps the persisted shape identical to the parent graph's output and drops ~100 lines of custom aggregation code. * 🪆 fix: incremental subagent aggregation + dialog render parity **Disappearing tool_calls**: the Recoil atom trimmed events to a 200-long rolling window, so verbose subagents could shed the `run_step` that originally created a tool_call part — rebuilding content from the trimmed window then produced only the surviving text/reasoning. Fix: fold each envelope into `contentParts` incrementally in the atom as it arrives (new `foldSubagentEvent` + cursor state). Event trim window now affects only the ticker, never the dialog. **Render parity**: dialog now applies `groupSequentialToolCalls` and renders single parts through `Container` + grouped batches through `ToolCallGroup` — same spacing and "Used N tools" collapsing the main message view uses. **Width**: `min(96vw, 80rem)` — wider on big screens, still responsive. **Labels**: "Subagent: X" is jargon. Named subagents render as `Running "{name}" agent` / `Ran "{name}" agent` (past tense on completion); self-spawns use `Running subtask` / `Ran subtask` since `Running "self" agent` reads badly. * 🪆 polish: subagent dialog parity + agent avatar in header **Labels**: drop "subtask" framing. Self-spawn shows `Running agent` / `Ran agent` (past tense on completion); named subagents stay `Running "X" agent` / `Ran "X" agent`. **Dialog render parity**: stop wrapping every part in `Container`. TEXT keeps its `Container` (gap-3 + `mt-5` sibling margin), THINK and TOOL_CALL render bare so their own wrappers set the full-column width the regular message view gives them — matches the main `<Part>` dispatch. Outer scroll region now uses `px-4 py-3` padding and a `max-w-full flex-grow flex-col gap-0` inner wrapper, mirroring the `MessageParts` container the main conversation uses. **Avatar**: header icon now renders the subagent's configured avatar via `MessageIcon` when `useAgentsMapContext()` has the child agent, falling back to the `Users` SVG (which keeps its running-state pulse). Same icon-left-of-label pattern the tool UI uses. * 🪆 polish: subagent group label, ticker throttle + tail-ellipsis, scroll button **Grouped label**: ToolCallGroup now detects all-subagent batches and labels them "Running N agents" / "Ran N agents" instead of "Used N tools". Mixed batches keep the existing label. The tool-name summary is suppressed for all-subagent groups (every entry dedupes to "subagent", which adds nothing). **Ticker width + tail-ellipsis**: raise the preview cap to 300 chars so wide containers aren't half-empty, and flip the ticker `<li>` to `dir="rtl"` so `text-overflow: ellipsis` clips the *oldest* characters (visually the left edge) — the newest tokens stay pinned to the right regardless of container width. Bidi lays out the Latin text LTR internally, the rtl only affects which side gets the ellipsis. **Throttle**: `useThrottledValue` hook (trailing-edge, 1.2s) smooths the live `Writing: …` preview so tokens no longer strobe past the eye faster than they can be read. Ref-based internals (not `useState`) avoid infinite-update loops when the upstream value is a new-reference each render; `NEGATIVE_INFINITY` sentinel ensures the very first value passes through synchronously so tests and first paint aren't delayed. **Scroll-to-bottom**: dialog tracks `isAtBottom` with a 120px threshold; auto-scroll only engages when the user is already following along, and a persistent jump-to-latest button appears whenever they scroll up — no more fighting the auto-scroll to read back. * 🪆 polish: snappier ticker, prefix-safe labels, agents icon, readable lines **Ticker lines are now incrementally aggregated in the atom** — same pattern as contentParts. The raw-events rolling window is gone; event volume no longer caps what the ticker can display. Verbose subagents that used to drop early tool_call lines out of the window now keep the full 3-line history (using_tool, tool_complete, writing). **Discriminated-union ticker lines** split a constant prefix (e.g. "Writing:") from a tail-truncatable body. The prefix lives in a `shrink-0` span so it never gets clipped when the body overflows; the body uses `dir="rtl"` only on itself — scoped so non-streaming lines (e.g. "Waiting for first update…") can't get their trailing ellipsis flipped by bidi. **Content-aware throttle**: 800ms interval (down from 1200ms), skipped entirely while the live buffer is below 120 chars. Early tokens now appear immediately — no more "Reasoning: I" sitting blank for a full second before the next heartbeat. Once the preview is long enough to fill the container, throttling kicks in at the tighter interval. **Header label** is now a constant verb + optional muted sub-label. Base reads "Running agent" / "Ran agent" / "Cancelled agent" / "Agent errored" for every subagent; named subagents get the configured agent name rendered to the right in secondary text (self-spawns and unresolved names omit it — "Running self agent" is nonsense). **ToolCallGroup** now detects `allSubagents` and swaps `StackedToolIcons` for a single `Users` glyph — otherwise the group header shows a wrench ("tool") icon next to "Ran 5 agents", which reads wrong. * 🪆 feat: delimiter-aware tool labels in ticker + full-width tool lines New shared `parseToolName` helper in `client/src/utils/toolLabels.ts` — single source of truth for splitting `<tool>_mcp_<server>` ids and mapping native tool names (web_search, execute_code, …) to their friendly translation keys. `ToolCallGroup` drops its inline copy and pulls from this helper. Ticker tool lines now use the shared parser + a new `ToolIdentifier` sub-renderer so the live log reads like the main tool UI: - MCP tool → `<server> · <code-badge:tool>` (e.g. "github · `search_code`") - Native → friendly name from `TOOL_FRIENDLY_NAME_KEYS` - Unknown → bare `<code>` badge of the raw id The `using_tool` / `tool_complete` rows now render with a `flex w-full items-baseline gap-1 overflow-hidden` layout matching the writing/reasoning rows — they take the full container width instead of collapsing to content size. Output snippets on `tool_complete` get the same tail-side `dir="rtl"` ellipsis so the newest characters stay flush-right when the container is narrow. Dropped the now-unused template i18n keys (`com_ui_subagent_ticker_using_with_args`, `com_ui_subagent_ticker_tool_complete`, `com_ui_subagent_ticker_tool_output`) in favor of tokens the JSX composes structurally. Only English is touched per the project rule; other locales follow externally. * 🪆 fix: dialog scroll button + auto-scroll during streaming deltas Two race/trigger bugs in the dialog's scroll behavior: **Button never showed**: `addEventListener('scroll', …)` in a `useEffect` ran before Radix's portal had actually committed the scroll container, so `scrollRef.current` was still null — the listener never attached, `isAtBottom` stayed stuck at its initial `true`, and the jump-to-latest button was never rendered. Swap to React's `onScroll` prop on the element itself so the handler wires up as part of DOM commit, not a post-commit effect. **Auto-scroll stalled during text streaming**: the pin-to-bottom effect only re-fired on `contentParts.length` changes. Message/reasoning deltas extend the last TEXT/THINK part's `.text` without changing the array length — so the view would drift up as tokens piled in and never catch back up. Replace the length-dep effect with a `ResizeObserver` on the inner content div; every height change (new part or in-place growth) triggers a scroll-pin when the user is still at the bottom. * 🪆 fix: drop leading ellipsis from ticker body truncatePreview was prepending ... to the tail when the buffer exceeded 300 chars. The component's CSS already produces a left-side ellipsis for overflow via dir=rtl + text-overflow: ellipsis — stacking a data-level ellipsis on top renders a stray dot character right after the Writing: / Reasoning: label (Writing: .Sure!), which looks like a typo to the reader. Data now returns just the last 300 chars when truncating; CSS handles the visual cue whenever the body actually overflows its container. * 🪆 fix: Codex review — subagent isolation + concurrent-safe throttle Three findings from the @codex review pass, all valid: **P1 — buildAgentInput leaks parent discovered-tool state into subagent children.** `buildAgentInput` mutates `agent.toolRegistry` (`overrideDeferLoadingForDiscoveredTools` flips `defer_loading:true→false` on tools the parent previously searched for) and appends those tools' definitions to the returned `toolDefinitions` before the function returns. `buildSubagentConfigs` was clearing the reported `initialSummary` / `discoveredTools` fields on the returned AgentInputs, but that happened post-return — the registry writes and extra tool definitions persisted on the child, silently defeating context isolation and inflating the child's prompt. Fix: `buildAgentInput` now takes an `isSubagent` flag that gates the registry-mutation block and omits `initialSummary` / `discoveredTools` at the source. `buildSubagentConfigs` passes `{ isSubagent: true }` for every explicit child; no post-hoc cleanup needed. **P2 — ToolCallGroup labels a finished subagent group as still running when the child returned no output.** `getToolMeta` computed `hasOutput` as `!!tc.output`, which is `false` for a completed subagent that returned empty text (the UI already has an "empty result" fallback for that case). `allCompleted` would stay `false` and the group header stuck on "Running N agents" forever. Fix: treat `tc.progress === 1` as completion too — progress is the authoritative lifecycle signal, output is just content. **P2 — useThrottledValue schedules `setTimeout` during render.** Discarded renders under Strict Mode / Concurrent rendering would leave orphan timers firing against stale trees. Fix: move `setTimeout` into a `useEffect` keyed on `[value, intervalMs, enabled]`. Render-time still mutates refs (idempotent), but timer scheduling lives post-commit. Cleanup on unmount and on passthrough transitions is preserved. * 🪆 fix: Codex P2 — wipe subagent atoms on conversation switch `clearStepMaps()` intentionally doesn't reset `subagentProgressByToolCallId` so a user can reopen a completed subagent's dialog mid-conversation, but `resetSubagentAtoms` was defined and never exposed / called — so each completed run's aggregated `contentParts` + `tickerState` stayed resident in the `atomFamily` for the whole app session. Unbounded growth across multi-conversation sessions. Expose `resetSubagentAtoms` from `useStepHandler` and fire it from `useEventHandlers` whenever the URL's `conversationId` changes. That's the correct cleanup boundary: historical subagent dialogs rehydrate from persisted `subagent_content` on each `tool_call` at message-save time, so wiping live atoms on switch doesn't lose any viewable history — it just releases per-tool-call state that the old conversation's components no longer subscribe to. * 🪆 fix: Codex round 3 — subagent registry isolation + post-run label Two more valid findings. **P1 — parent-order registry mutation leaks into subagent inputs.** `overrideDeferLoadingForDiscoveredTools` mutates `agent.toolRegistry` in place (the Map *and* the LCTool objects inside it). When an agent appears both as a handoff target (normal graph node) AND an explicit subagent child, a subagent build that ran before the parent's build captures a reference to the same registry — the parent's later mutation leaks through to the child. Fix: for subagent children (`isSubagent`), clone the `toolRegistry` Map and shallow-clone each LCTool inside before returning the inputs. `defer_loading` flips on parent-graph registry mutations can't propagate across the clone boundary. `toolDefinitions` also gets a shallow-copy pass so the same isolation holds for definitions the child carries directly. **P2 — "Running N agents" label stuck after cancel/error.** ToolCallGroup's all-subagent label was gated only on `allCompleted`, which requires every child to have `hasOutput || progress === 1`. A subagent that gets cancelled (stream ends, no `stop` phase, no output) never satisfies that — so even after `isSubmitting` flips false, the header stays on "Running N agents" while each individual card correctly shows "Cancelled agent". Fix: derive a `subagentsDone` flag as `allCompleted || !isSubmitting` and gate the past-tense label on that. Matches the tri-state each SubagentCall card already resolves (finished / cancelled / running). * 🪆 fix: Codex P2 — ACL-check subagents.agent_ids on create/update Codex flagged that `subagents.agent_ids` was accepted as arbitrary strings on the create/update routes while `edges` got a `validateEdgeAgentAccess` pass — so users could save subagent references to agents they can't VIEW. At runtime `initializeClient`'s `processAgent` ACL gate silently drops those, so the persisted configuration and the actual behavior diverged in a way that is difficult to diagnose. Refactor: extract the id-set → unauthorized-ids check into a shared `collectUnauthorizedAgentIds`, wrap it with a dedicated `validateSubagentAccess`, and plumb the same 403-on-failure response the edge path already returns. Applied on both POST /agents and PATCH /agents/:id. * 🪆 fix: Codex round 5 — ACL-disable escape hatch + ticker order Two valid findings. **P1 — can't disable subagents after losing access to a child.** The subagent ACL check ran on every create/update that echoed back the `agent_ids` list, even when the user was explicitly disabling the feature. The UI keeps the list intact when toggling `enabled: false`, so a user who subsequently lost VIEW on any child would be locked in a 403 loop — every edit (including the one that turns subagents off) bounces. Fix: gate the ACL check on `subagents.enabled !== false` at both the POST /agents and PATCH /agents/:id handlers. Empty list stays a no-op. Disabling the feature is always permitted. **P2 — ticker fold merges out-of-order previews across delta switches.** `foldSubagentEventIntoTicker` carried `textLineIdx` / `thinkLineIdx` across a reasoning → text → reasoning transition, so the second reasoning chunk appended to the original reasoning line instead of starting a new chronological one. Fix: close the opposite buffer + cursor when a delta-type switch is detected (same rule the content-parts reducer already applies). Added a regression test. * 🪆 fix: Codex round 6 — preserve mid-stream atoms + honor sequential suppression Two valid findings. **P2 — atom reset fires on initial chat URL assignment.** `useEventHandlers` initialized `lastConversationIdRef` from the URL's current `paramId`, then reset subagent atoms whenever the ref and `paramId` disagreed. For a brand-new conversation the URL stamp goes from `undefined → "abc123"` while the first response is still streaming, which used to drop subagent ticker/content state mid-run and leave dialogs missing earlier updates. Fix: only reset when *both* the old and new IDs are non-null and differ — i.e. a user-initiated switch between two established conversations. The initial assignment passes through without clearing. **P2 — ON_SUBAGENT_UPDATE bypassed `hide_sequential_outputs`.** Every other streaming handler in `callbacks.js` (`ON_RUN_STEP`, `ON_MESSAGE_DELTA`, etc.) gates emission on `checkIfLastAgent` + `metadata?.hide_sequential_outputs`, but the subagent forwarder did an unconditional `emitEvent` — so intermediate agents in a sequential chain were leaking their children's activity to the client even when the chain was configured to suppress intermediates. Fix: accept `metadata` and apply the same `isLastAgent || !hide_sequential_outputs` gate. Aggregation still runs regardless of visibility (persistence + dialog depend on it); only the SSE forward is suppressed. * 🪆 fix: Codex P2 — gate subagent ACL check on endpoint capability `validateSubagentAccess` ran on every create/update where `subagents.enabled !== false`, regardless of the endpoint-level `subagents` capability. When the capability is off at the appConfig level, `initializeClient` already strips the `subagents` block at runtime — so persisted `agent_ids` are inert — but the validation could still 403 on a legacy record whose referenced child is no longer viewable, blocking unrelated edits. Fix: add `isSubagentsCapabilityEnabled(req)` that reads the agents endpoint's capabilities from `req.config` and gate both the create and update ACL checks on it. Capability-off environments can update agents with stale `subagents` data freely; capability-on keeps the full ACL protection. * 🪆 fix: Codex P2 — reset subagent atoms on id→null navigation too Previous guard (both-established) skipped the reset whenever `paramId` became null/undefined, so navigating from an existing chat to a "new chat" route left stale subagent progress resident in the `atomFamily` until the user picked a specific different chat. Swap the both-established check for a one-time flag: skip only the very first `undefined → id` transition (the brand-new-chat URL stamp that happens mid-stream), then reset on any subsequent change — id→id, id→null, null→id-after-reset. If the user started on an established chat the flag is true at mount, so the guard is a no-op and every navigation resets normally. * 🪆 fix: Codex round 9 — subagent persistence gate + handoff children Two valid findings. **P1 — hide_sequential_outputs also gates persistence.** The previous fix gated the SSE forward on `isLastAgent || !hide_sequential_outputs` but still ran the per-tool-call `createContentAggregator` aggregation unconditionally. `finalizeSubagentContent` would then attach the hidden intermediate agent's child reasoning / tool output to the saved message, so a page refresh could reveal activity that was intentionally suppressed live. Move the visibility gate to the top of the handler — hidden agents now skip both aggregation and emission, so "hide_sequential_outputs" is a consistent "don't record" rule for subagent traces. **P2 — handoff agents' explicit subagents were silently dropped.** `initializeClient` only resolved `subagentAgentConfigs` for the primary config, so an agent used via handoff that had its own `subagents.agent_ids` saved in the builder would get self-spawn only; every explicit child was quietly ignored, creating a saved-config / runtime mismatch the user couldn't diagnose. Extract the resolution into a shared `loadSubagentsFor(config)` helper and invoke it for the primary and every handoff agent in `agentConfigs`. The `edgeAgentIds` precomputation stays outside the helper (it's loop-invariant). Capability-off shortcuts return empty early so the existing strip-on-capability-off path still holds. * 🪆 fix: Codex P2 — recursive subagent build for multi-level delegation Previously only the outer `agents[]` loop attached `subagentConfigs` to its inputs, so a child used as a subagent (invoked via the `subagent` tool) lost every explicit spawn target of its own. A user-valid configuration like A → B → C would only run the top layer; B could never actually delegate to C from inside A's run. Recursively build `subagentConfigs` for each child inside `buildSubagentConfigs`, passing the child's freshly-constructed `childInputs` down so its own `subagents.enabled` children get resolved too. Added cycle protection via an `ancestors` Set — a configuration like A → B → A is safely cut off at the second encounter of A rather than recursing forever (the existing `child.id === agent.id` guard already prevents the direct self-loop). * 🪆 fix: Codex P2 — reset subagent atoms on useEventHandlers unmount The effect that resets subagent atoms only fired on `paramId` change, so unmounting the chat container (route change away from /c) never flushed the atoms. `knownSubagentAtomKeys` lives in a ref inside `useStepHandler` — once the hook unmounts the ref is gone, so a subsequent remount can't clean atoms it never registered. Added a second `useEffect` that only runs cleanup on unmount (empty deps aside from the stable `resetSubagentAtoms` callback). Keeps `atomFamily` bounded across full route teardowns too. * 🪆 fix: Codex round 13 — cyclic subagent guard + prefer persisted Two valid findings. **P1 — cyclic subagent ref reloads the primary.** A configuration like `A ↔ B` (B lists A as its own subagent) would send `loadSubagentsFor` down a path that couldn't find A in `agentConfigs` (the primary isn't stored there), so it called `processAgent(A)` a second time. That inserts a fresh config for the primary id, which downstream duplicates in `[primary, ...agentConfigs.values()]` and can replace the primary's tool context with the reloaded copy. Fix: short-circuit when a subagent ref points back at `primaryConfig.id` — reuse the already-loaded primary config. Primary is always an edge id so no pruning bookkeeping needed. **P2 — live atom preferred over canonical persisted trace.** The dialog picked `progress.contentParts` ahead of `persistedContent`, but the Recoil bucket is best-effort — after a disconnect/reconnect it can be stale or partial. The server's `subagent_content` on the `tool_call` is the canonical record refreshed on sync. Preferring live could hide completed tool/reasoning history that was actually persisted. Fix: flip the preference order. Persisted wins when it's non-empty; live covers the mid-stream window (before the parent message saves, persisted is empty) and the older-runs fallback. Updated the test that enforced the old order to lock the new semantics in (separate mid-stream live-fallback assertion kept). * 🪆 fix: Codex P2 — subagent atom reset rule simplified to 'leaving established id' The `hasEstablishedConversationRef` + check for initial undefined→id covered the first navigation but missed the equivalent mid-stream URL stamp when a user goes from an existing chat to a new chat and sends a message there (`id → null → newId`). The null → newId transition was still hitting the reset branch and wiping the in-flight subagent ticker/content for that first turn. Simpler rule: only reset when the PREVIOUS paramId is an established id. Every transition AWAY from an established chat clears (id→id2, id→null, id→undefined); every transition FROM null/undefined passes through (initial mount, new-chat URL stamp mid-stream). Drop the `hasEstablishedConversationRef` machinery in favor of that single condition. * 🪆 fix: Codex P2 — match runtime's strict subagent enable check in ACL Runtime (`initializeClient` + `run.ts`) treats `subagents?.enabled` as a truthy predicate — `undefined`, `null`, missing, and `false` all short-circuit. The ACL gate was using `!== false` which accepted `undefined` / missing as "enabled" and could 403 a payload whose subagent tool would be inert at runtime. Swap both create and update to `enabled === true`. Only a strictly- enabled payload triggers the ACL check; the disable path (`false`) still passes through so a user who lost VIEW on a child can still save the disable edit. * 🪆 fix: Codex P2 — reject missing subagent references with 400 `validateSubagentAccess` collapsed through `collectUnauthorizedAgentIds`, which returns an empty list for ids with no DB record — so typos and references to deleted agents passed validation silently, and `initializeClient` later dropped them at runtime. Saved config would then list spawn targets that the backend never honored, a hard-to- diagnose drift. Refactor the helper into `classifyAgentReferences(ids, …)` which returns `{ missing, unauthorized }` separately. `validateEdgeAgentAccess` keeps its old semantics (missing is intentional — a self-referential `from` names the agent being created). `validateSubagentReferences` surfaces both buckets so the create/update handlers can 400 on missing and 403 on unauthorized with distinct error messages and `agent_ids` lists. * 🪆 polish: tighten subagent dialog grid gap to gap-2 OGDialogContent's grid default is `gap-4`, which renders the title, description, and scroll area as three visually separated panels. Drop to `gap-2` so they read as one block. * 🪆 polish: swap Subagents above Handoffs in Advanced panel Subagents is the more common knob users reach for, so show it first. Handoffs keep the same Controller wiring, just move below. |
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🧰 refactor: Unify code-execution tools (#12767)
* 🛠️ feat: Add registerCodeExecutionTools helper Idempotently registers `bash_tool` + `read_file` in the run's tool registry and tool-definition list via a registry `.has()` dedupe. Sets up the single code-execution tool path shared by: - `initializeAgent` (when an agent has `execute_code` in its tools and the capability is enabled for the run) - `injectSkillCatalog` (when skills are active; unconditional read_file, bash_tool follows `codeEnvAvailable`) Both callers reach the helper in the same initialization sequence, so the second call becomes a no-op and exactly one copy of each tool reaches the LLM — no more double registration for agents that combine `execute_code` capability with active skills. Unit-tested on a fresh run, idempotence (second call, overlap with prior tooldefs, partial overlap), and the no-registry variant. * 🔀 refactor: Route injectSkillCatalog bash_tool + read_file through registerCodeExecutionTools The `skill` tool is still registered inline (it's skill-path-specific), but `bash_tool` + `read_file` now flow through the shared idempotent helper so a prior registration from the execute_code path doesn't produce a duplicate copy later in the same run. Behavior preserved: - `read_file` always registers when any active skill is in scope — manually-primed `disable-model-invocation: true` skills still need it to load `references/*` from storage. - `bash_tool` follows `codeEnvAvailable` exactly as before. Adds a test pinning the cross-call dedupe: when `injectSkillCatalog` runs AFTER `registerCodeExecutionTools` has already seeded the registry + tool definitions with bash_tool/read_file, the resulting `toolDefinitions` still contains exactly one copy of each. * 🪄 feat: Expand `execute_code` tool name into bash_tool + read_file at initialize-time When an agent's `tools` include `execute_code` and the `execute_code` capability is enabled for the run, `initializeAgent` now registers `bash_tool` + `read_file` via `registerCodeExecutionTools` before `injectSkillCatalog`. The legacy `execute_code` tool definition is no longer handed to the LLM — `execute_code` remains on the agent document as a capability-trigger marker, but the runtime expands it into the skill-flavored tool pair. Call ordering matters: the `execute_code` registration runs BEFORE `injectSkillCatalog`, so the skill path's own `registerCodeExecutionTools` call inside `injectSkillCatalog` becomes a no-op via the registry's `.has()` check. Exactly one copy of each tool reaches the LLM whether the agent has: - only `execute_code` (legacy path) - only skills - both No data migration needed — `agent.tools: ['execute_code']` stays in the DB unchanged; the expansion is a runtime operation. Three tests cover the matrix: execute_code + capability on → bash_tool + read_file registered; execute_code + capability off → neither registered; no execute_code + capability on → neither registered. * 🗑️ refactor: Drop CodeExecutionToolDefinition from the builtin registry Removes the legacy `execute_code` entry from `agentToolDefinitions` and the corresponding import. With the initialize-time expansion in place, nothing consults `getToolDefinition('execute_code')` for a tool schema any more — the capability gate still filters on the string `execute_code`, but the actual tool definitions the LLM sees come from `registerCodeExecutionTools` (i.e. `bash_tool` + `read_file`). `loadToolDefinitions` in `packages/api/src/tools/definitions.ts` silently drops `execute_code` when it no longer resolves in the registry — that's the expected path and is now covered by an updated test. No caller of `getToolDefinition('execute_code')` expects a non-undefined result after this change. * 🔌 refactor: Read CODE_API_KEY from env for primeCodeFiles + PTC Finishes the Phase 4 server-env-keyed rollout on the two remaining `loadAuthValues({ authFields: [EnvVar.CODE_API_KEY] })` sites in `ToolService.js`: - `primeCodeFiles` (user-attached file priming on execute_code agents) - Programmatic Tool Calling (`createProgrammaticToolCallingTool`) Both now read `process.env[EnvVar.CODE_API_KEY]` directly, matching `bash_tool`'s pattern. The per-user plugin-auth path is no longer consulted for code-env credentials anywhere in the hot path — the agents library owns the actual tool-call execution and also reads the env var internally. Priming still fires for existing user-file workflows so the legacy `toolContextMap[execute_code]` hint ("files available at /mnt/data/...") stays in the prompt; only the key lookup changed. * 🔧 fix: Type the pre-seeded dedupe-test tools as LCTool CI TypeScript type checks caught `{ parameters: {} }` in the new cross-call dedupe test: `LCTool.parameters` is a `JsonSchemaType`, not `{}`. Use `{ type: 'object', properties: {} }` and type the local registry Map through the parameter-derived shape so the pre-seeded values match what `toolRegistry.set` expects. * 🛡️ fix: Run execute_code expansion before GOOGLE_TOOL_CONFLICT gate Codex review caught a latent regression: the original Phase 8 placement ran `registerCodeExecutionTools` after `hasAgentTools` was computed, so an execute-code-only agent on Google/Vertex with provider-specific `options.tools` populated would no longer trip `GOOGLE_TOOL_CONFLICT` — the legacy `CodeExecutionToolDefinition` used to populate `toolDefinitions` before the guard, but after dropping it from the registry, `toolDefinitions` stayed empty until my expansion ran downstream of the guard. Mixed provider + agent tools would silently flow through to the LLM. Fix moves the `execute_code` expansion to BEFORE `hasAgentTools` computation. `bash_tool` + `read_file` now contribute to the check the same way the legacy `execute_code` def did. Covered by a new test that pins the Google+execute_code+provider-tools scenario — the `rejects.toThrow(/google_tool_conflict/)` path would have silently passed on the prior placement. * 🔗 fix: Thread codeEnvAvailable through handoff sub-agents Round-2 codex review caught the other half of the execute_code expansion gap: `discoverConnectedAgents` omitted `codeEnvAvailable` from its forwarded `initializeAgent` params, so handoff sub-agents with `agent.tools: ['execute_code']` lost the `bash_tool` + `read_file` registration (pre-Phase 8 the legacy `CodeExecutionToolDefinition` would have landed in their `toolDefinitions` via the registry). - Add `codeEnvAvailable?` to `DiscoverConnectedAgentsParams` and forward it verbatim on every sub-agent `initializeAgent` call. - Update the three JS call sites that construct the primary's `codeEnvAvailable` (`services/Endpoints/agents/initialize.js`, `controllers/agents/openai.js`, `controllers/agents/responses.js`) to pass the same flag into `discoverConnectedAgents` — one authoritative source per request. - Two regression tests in `discovery.spec.ts` pin the true/false passthrough so a future refactor that drops the param-forwarding surfaces immediately. Left intentionally unchanged: `packages/api/src/agents/openai/service.ts` (public API helper with no in-repo caller). External consumers of `createAgentChatCompletion` who want code execution should pass a `codeEnvAvailable`-aware `initializeAgent` via `deps` — documenting the full public-API surface is out of scope for this Phase 8 PR. * 🔗 fix: Thread codeEnvAvailable through addedConvo + memory-agent paths Round-3 codex review caught the last two production `initializeAgent` callers missing the Phase-8 capability flag: - `api/server/services/Endpoints/agents/addedConvo.js` (multi-convo parallel agent execution). Added `codeEnvAvailable` to `processAddedConvo`'s destructured params and forwarded it into the per-added-agent `initializeAgent` call. Caller in `api/server/services/Endpoints/agents/initialize.js` passes the same `codeEnvAvailable` it computed for the primary. - `api/server/controllers/agents/client.js` (`useMemory` — memory extraction agent). Computes its own `codeEnvAvailable` from `appConfig?.endpoints?.[EModelEndpoint.agents]?.capabilities` and forwards into `initializeAgent`. Memory agents rarely list `execute_code`, but if one does, pre-Phase 8 they got the legacy `execute_code` tool registered unconditionally — the passthrough restores parity. With this, every production caller of `initializeAgent` explicitly resolves the capability: main chat flow (primary + handoff), OpenAI chat completions (primary + handoff), Responses API (primary + handoff), added convo parallel agents, and memory agents. The one remaining caller, `packages/api/src/agents/openai/service.ts::createAgentChatCompletion`, is a public API helper with no in-repo consumer (external callers must pass a capability-aware `initializeAgent` via `deps`). * 🪤 fix: Remove duplicate appConfig declaration causing TDZ ReferenceError The Responses API controller had TWO `const appConfig = req.config;` bindings inside `createResponse`: one at the top of the function (added by the Phase 4 `bash_tool` decouple) and one inside the try block (added by the polish PR #12760). Because `const` is block-scoped with a temporal dead zone, the inner redeclaration put `appConfig` in TDZ for the entire try block, so any earlier reference inside the try — notably `appConfig?.endpoints?.[EModelEndpoint.agents]?.allowedProviders` at line 348 — threw `ReferenceError: Cannot access 'appConfig' before initialization`. The error was silently swallowed by the outer try/catch, leaving `recordCollectedUsage` unreached and the six `responses.unit.spec.js` token-usage tests failing. Removing the inner redeclaration fixes the six failing tests (verified: 11/11 pass locally post-fix, 0 regressions elsewhere). The outer function-scoped binding already provides `appConfig` to every downstream reference. * 🔗 fix: Thread codeEnvAvailable through the OpenAI chat-completion public API Round-4 codex review (legitimate on the type-safety angle, even though the runtime concern was already covered): the `createAgentChatCompletion` helper defines its own narrower `InitializeAgentParams` interface locally, and the type was missing `codeEnvAvailable`. External consumers who supply a capability-aware `deps.initializeAgent` couldn't route `codeEnvAvailable` through without a type-cast workaround. - Widen the local `InitializeAgentParams` interface to include `codeEnvAvailable?: boolean` (matches the real `packages/api/src/agents/initialize.ts` type). - Derive `codeEnvAvailable` inside `createAgentChatCompletion` from `deps.appConfig?.endpoints?.agents?.capabilities` (the same source the in-repo controllers use) and forward to `deps.initializeAgent`. Uses a string literal `'execute_code'` lookup so this file stays free of a `librechat-data-provider` import — keeping the dependency surface of the public helper minimal. With this, external consumers of `createAgentChatCompletion` who pass `appConfig` with the agents capabilities get `bash_tool` + `read_file` registration automatically; consumers who don't pass `appConfig` retain the existing "explicit opt-in" semantics (the flag stays `undefined`, expansion is skipped). * 🧹 chore: Review-driven polish — observability log, JSDoc DRY, test gaps, no-op allocation Addresses the comprehensive review of PR #12767: - **Finding #1** (MINOR, observability): `initializeAgent` now emits a debug log when an agent lists `execute_code` in its tools but the runtime gate is off (`params.codeEnvAvailable` !== true). The event-driven `loadToolDefinitionsWrapper` path doesn't log capability-disabled warnings, so without this the tool silently vanishes from the LLM's definitions with zero trace. Operators debugging "why isn't code interpreter working?" now get a signal at the initialize layer. - **Finding #5** (NIT, allocation): `registerCodeExecutionTools` now returns the input `toolDefinitions` array by reference on the no-op path (both tools already registered by a prior caller in the same run) instead of allocating a fresh spread array every time. The common dual-call scenario — `initializeAgent` then `injectSkillCatalog` — saves one O(n) copy per request. - **Finding #4** (NIT, DRY): Collapsed the duplicated 6-line JSDoc comment in `openai.js`, `responses.js`, and `addedConvo.js` into either a one-line `@see DiscoverConnectedAgentsParams.codeEnvAvailable` pointer (the two JS call sites) or a compact 3-line block referring back to the canonical source (addedConvo's @param). - **Finding #2** (MINOR, test gap): Added `api/server/services/Endpoints/agents/addedConvo.spec.js` with three cases covering `codeEnvAvailable=true`, `codeEnvAvailable=false`, and omitted (undefined) passthrough. A future refactor that drops the param from destructuring now surfaces here instead of silently regressing multi-convo parallel agents with `execute_code`. - **Finding #3** (MINOR, test gap): Added `api/server/controllers/agents/__tests__/client.memory.spec.js` pinning the capability-flag derivation that `AgentClient::useMemory` uses — six cases covering present/absent/null/undefined config shapes plus an enum-literal pin (`'execute_code'` / `'agents'`). Catches enum renames or config-path shifts that would otherwise silently strip `bash_tool` + `read_file` from memory agents. Finding #7 (jest.mock scoping, confidence 40) left as-is: the reviewer's own risk assessment noted `buildToolSet` doesn't touch the mocked exports, and restructuring a file-level `jest.mock` to `jest.doMock` + dynamic `import()` introduces more complexity than the speculative risk justifies. The existing mock is scoped to the test file and contains the same stubs the adjacent `skills.test.ts` already uses. Finding #6 (PR description commit count) addressed out-of-band via PR description update. All existing tests pass, typecheck clean, lint clean across touched files. New tests: 9 cases across 2 new spec files. * 🧽 refactor: Replace hardcoded 'execute_code' string with AgentCapabilities enum in service.ts Follow-up review (conf 55) caught that `openai/service.ts`'s Phase 8 `codeEnvAvailable` derivation used the literal `'execute_code'` while every in-repo controller uses `AgentCapabilities.execute_code` from `librechat-data-provider`. The file deliberately uses local type interfaces to keep the public API helper's type surface small, but that pattern was never a ban on single-value imports from the data provider — `packages/api` already depends on it. Importing the enum value means a future rename of `AgentCapabilities.execute_code` propagates to this file automatically, matching the in-repo controllers' behavior. Other follow-up findings left as-is per the reviewer's own verdict: - #2 (memory spec mirrors the production expression rather than calling `AgentClient::useMemory` directly): reviewer flagged as "not blocking" / "design-philosophy observation." The test file's JSDoc already explicitly documents the tradeoff and pins the enum literals to catch the most likely drift vector. Standing up `AgentClient` + all its mocks for a one-line regression guard is disproportionate. - #3 (`addedConvo.spec.js` mock signature vs. underlying `loadAddedAgent` arity): reviewer's own confidence 25 noted the mock matches the wrapper's actual call pattern in the production file. Not a real gap. - #4 was self-retracted as a false alarm. * 🗑️ refactor: Fully deprecate CODE_API_KEY — remove all LibreChat-side references The code-execution sandbox no longer authenticates via a per-run `CODE_API_KEY` (frontend or backend). Auth moved server-side into the agents library / sandbox service, so LibreChat drops every reference: **Backend plumbing:** - `api/server/services/Files/Code/crud.js`: `getCodeOutputDownloadStream`, `uploadCodeEnvFile`, `batchUploadCodeEnvFiles` no longer accept `apiKey` or send the `X-API-Key` header. - `api/server/services/Files/Code/process.js`: `processCodeOutput`, `getSessionInfo`, `primeFiles` drop the `apiKey` param throughout. - `api/server/services/ToolService.js`: stop reading `process.env[EnvVar.CODE_API_KEY]` for `primeCodeFiles` and PTC; the agents library handles auth internally. Remove the now-dead `loadAuthValues` + `EnvVar` imports. Drop the misleading "LIBRECHAT_CODE_API_KEY" hint from the bash_tool error log. - `api/server/services/Files/process.js`: remove the `loadAuthValues` call around `uploadCodeEnvFile`. - `api/server/routes/files/files.js`: code-env file download no longer fetches a per-user key. - `api/server/controllers/tools.js`: `execute_code` is no longer a tool that needs verifyToolAuth with `[EnvVar.CODE_API_KEY]` — the endpoint always reports system-authenticated so the client skips the key-entry dialog. `processCodeOutput` called without `apiKey`. - `api/server/controllers/agents/callbacks.js`: `processCodeOutput` invoked without the loadAuthValues round trip, for both LegacyHandler and Responses-API handlers. - `api/app/clients/tools/util/handleTools.js`: `createCodeExecutionTool` called with just `user_id` + files. **packages/api:** - `packages/api/src/agents/skillFiles.ts`: `PrimeSkillFilesParams`, `PrimeInvokedSkillsDeps`, `primeSkillFiles`, `primeInvokedSkills` all drop the `apiKey` param; the gate is purely `codeEnvAvailable`. - `packages/api/src/agents/handlers.ts`: `handleSkillToolCall` drops the `process.env[EnvVar.CODE_API_KEY]` read; skill-file priming is now gated solely on `codeEnvAvailable`. `ToolExecuteOptions` signatures drop apiKey from `batchUploadCodeEnvFiles` and `getSessionInfo`. - `packages/api/src/agents/skillConfigurable.ts`: JSDoc no longer references the env var. - `packages/api/src/tools/classification.ts`: PTC creation no longer gated on `loadAuthValues`; `buildToolClassification` drops the `loadAuthValues` dep entirely (no LibreChat-side callers need it for this path anymore). - `packages/api/src/tools/definitions.ts`: `LoadToolDefinitionsDeps` drops the `loadAuthValues` field. **Frontend:** - Delete `client/src/hooks/Plugins/useAuthCodeTool.ts`, `useCodeApiKeyForm.ts`, and `client/src/components/SidePanel/Agents/Code/ApiKeyDialog.tsx` — the install/revoke dialogs for CODE_API_KEY are fully dead. - `BadgeRowContext.tsx`: drop `codeApiKeyForm` from the context type and provider. `codeInterpreter` toggle treated as always authenticated (sandbox auth is server-side). - `ToolsDropdown.tsx`, `ToolDialogs.tsx`, `CodeInterpreter.tsx`, `RunCode.tsx`, `SidePanel/Agents/Code/Action.tsx` +`Form.tsx`: all API-key dialog trigger refs, "Configure code interpreter" gear buttons, and auth-verification plumbing removed. The "Code Interpreter" toggle is now a plain `AgentCapabilities.execute_code` checkbox — no key-entry gate. - `client/src/locales/en/translation.json`: drop the three `com_ui_librechat_code_api*` keys and `com_ui_add_code_interpreter_api_key`. Other locales are externally automated per CLAUDE.md. **Config:** - `.env.example`: remove the `# LIBRECHAT_CODE_API_KEY=your-key` section and its header. **Tests:** - `crud.spec.js`: assertions flipped to pin "no X-API-Key header" and "no apiKey param". - `skillFiles.spec.ts`: removed env-var save/restore; tests now pin that the batch-upload path is gated solely on `codeEnvAvailable` and that no apiKey is threaded through. - `handlers.spec.ts`: same — just the `codeEnvAvailable` gate pins remain. - `classification.spec.ts`: remove the two tests that asserted `loadAuthValues` was (not) called for PTC. - `definitions.spec.ts`: drop every `loadAuthValues: mockLoadAuthValues` entry from the deps shape. - `process.spec.js`: strip the mock of `EnvVar.CODE_API_KEY`. **Comment hygiene:** - `tools.ts`, `initialize.ts`, `registry/definitions.ts`: shortened stale comment references to "legacy `execute_code` tool" without naming the retired env var. Tests verified: 678 packages/api tests pass, 836 backend api tests pass. Typecheck clean, lint clean. Only remaining CODE_API_KEY mentions in the code are two regression-guard assertions: - `crud.spec.js`: pins "no X-API-Key header" stays absent. - `skillConfigurable.spec.ts`: pins `configurable` never grows a `codeApiKey` field. * 🧹 chore: Remove the last two CODE_API_KEY name mentions in LibreChat Follow-up to the prior full deprecation commit: two tests still named the retired identifier in their regression-guard assertions. - `packages/api/src/agents/skillConfigurable.spec.ts`: drop the "does not inject a codeApiKey key" test. The `codeApiKey` field is gone from the production configurable shape, so an absence-assertion naming it re-introduces the retired identifier in code. - `api/server/services/Files/Code/crud.spec.js`: rename the "without an X-API-Key header" case back to "should request stream response from the correct URL" and drop the `expect(headers).not.toHaveProperty('X-API-Key')` assertion. The surrounding request-shape checks (URL, timeout, responseType) still pin the behavior; the explicit header-absence line was named-after the deprecated contract. Result: `grep -rn "CODE_API_KEY\|codeApiKey\|LIBRECHAT_CODE_API_KEY"` against the LibreChat source tree returns zero hits. The only remaining `X-API-Key` strings in this repo are on unrelated OpenAPI Action + MCP server auth configurations, where the string is user-facing config, not a LibreChat-owned identifier. Tests: 677 packages/api pass (2 pre-existing summarization e2e failures unrelated); 126 api-workspace controller/service tests pass. Typecheck and lint clean. * 🎯 fix: Narrow codeEnvAvailable to per-agent (admin cap AND agent.tools) Before this commit, `codeEnvAvailable` was computed in the three JS controllers as the admin-level capability flag only (`enabledCapabilities.has(AgentCapabilities.execute_code)`) and passed through `initializeAgent` → `injectSkillCatalog` / `primeInvokedSkills` / `enrichWithSkillConfigurable` unchanged. A skills-only agent whose `tools` array didn't include `execute_code` still got `bash_tool` registered (via `injectSkillCatalog`) and skill files re-primed to the sandbox on every turn — wrong, because the agent never opted in to code execution. **Fix:** `initializeAgent` now computes the per-agent effective value once as `params.codeEnvAvailable === true && agent.tools.includes(Tools.execute_code)`, reuses the same boolean for: 1. The `execute_code` → `bash_tool + read_file` expansion gate (previously already consulted `agent.tools`; now shares the single `effectiveCodeEnvAvailable` binding). 2. The `injectSkillCatalog` call (previously got the raw admin flag). 3. The returned `InitializedAgent.codeEnvAvailable` field (new, typed as required boolean). **Controllers (initialize.js, openai.js, responses.js):** store `primaryConfig.codeEnvAvailable` in `agentToolContexts.set(primaryId, ...)`, capture `config.codeEnvAvailable` in every handoff `onAgentInitialized` callback, and read it from the per-agent ctx inside the `toolExecuteOptions.loadTools` runtime closure. The hoisted `const codeEnvAvailable = enabledCapabilities.has(...)` locals in the two OpenAI-compat controllers are gone — they were shadowing the narrowed per-agent value. **primeInvokedSkills:** `handlePrimeInvokedSkills` in `services/Endpoints/agents/initialize.js` now uses `primaryConfig.codeEnvAvailable` (per-agent, narrowed) instead of the raw admin flag. A skills-only primary agent won't re-prime historical skill files to the sandbox even when the admin enabled the capability globally. **Efficiency:** one extra `&&` in `initializeAgent`. No runtime hot-path cost — the `includes()` scan on `agent.tools` was already happening for the `execute_code` expansion gate; it's now just bound to a local. Tool execution closures read `ctx.codeEnvAvailable === true` (property access + strict equality, O(1)). **Ephemeral-agent note:** per-agent narrowing is authoritative for both persisted and ephemeral flows. The ephemeral toggle (`ephemeralAgent.execute_code`) is reconciled into `agent.tools` upstream in `packages/api/src/agents/added.ts`, so `agent.tools.includes('execute_code')` is the single source of truth by the time `initializeAgent` runs. **Tests:** two new regression tests pin the narrowing contract: - `initialize.test.ts` — four-quadrant matrix on `InitializedAgent.codeEnvAvailable` (cap on × agent asks, cap on × doesn't ask, cap off × asks, neither). Catches future refactors that drop either half of the AND. - `skills.test.ts` — `injectSkillCatalog` with `codeEnvAvailable: false` against an active skill catalog must NOT register `bash_tool` even though it still registers `read_file` + `skill`. This is the state a skills-only agent gets post-narrowing. All 191 affected packages/api tests pass + 836 backend api tests pass. Typecheck clean, lint clean. * 🧽 refactor: Comprehensive-review polish — hoist tool defs, pin verifyToolAuth contract, doc appConfig Addresses the comprehensive review of Phase 8. Findings mapped: **#1 (MINOR): `verifyToolAuth` unconditional auth for execute_code** - Added doc comment explicitly stating the deployment contract (admin capability → reachable sandbox; no per-check health probe to keep UI-gate queries O(1)). - New `api/server/controllers/__tests__/tools.verifyToolAuth.spec.js` with 4 regression tests pinning the contract: 1. `authenticated: true` + `SYSTEM_DEFINED` for execute_code. 2. 404 for unknown tool IDs. 3. `loadAuthValues` is never consulted (catches a future revert that would resurface the per-user key-entry dialog). 4. Response `message` is never `USER_PROVIDED`. **#2 (MINOR): `openai/service.ts` undocumented `appConfig` dependency** - Expanded the `ChatCompletionDependencies.appConfig` JSDoc to spell out that omitting it silently disables code execution for agents with `execute_code` in their tools. External consumers of `createAgentChatCompletion` now have the contract documented at the type boundary. **#5 (NIT): `registerCodeExecutionTools` re-allocates tool defs** - Hoisted `READ_FILE_DEF` and `BASH_TOOL_DEF` to module-level `Object.freeze`d constants. The shapes derive entirely from static `@librechat/agents` exports, so a single frozen object per tool is safe to share across every agent init. Eliminates the ~4-property allocations on every call (including the common second-call no-op path). **#6 (NIT): Verbose history-priming comment in initialize.js** - Trimmed the 16-line `handlePrimeInvokedSkills` block to a 5-line summary with `@see InitializedAgent.codeEnvAvailable` pointer. The canonical narrowing explanation lives on the type; the controller comment is just the ACL-vs-capability rationale. **Skipped:** - #3 (memory spec tests a mirror function): reviewer self-dismissed as a design tradeoff; the enum-literal pin already catches the highest-risk drift vector. - #4 (cross-repo contract for `createCodeExecutionTool`): user will explicitly install the latest `@librechat/agents` dev version once the companion PR publishes, so the version pin will be authoritative. - #7 (migration/deprecation note for self-hosters): out of scope per user direction — release notes handle this. Tests verified: 679 packages/api + 840 backend api tests pass. Typecheck + lint clean. * 🔧 chore: Update @librechat/agents version to 3.1.68-dev.1 across package-lock and package.json files This commit updates the version of the `@librechat/agents` package from `3.1.68-dev.0` to `3.1.68-dev.1` in the `package-lock.json` and relevant `package.json` files. This change ensures consistency across the project and incorporates any updates or fixes from the new version. |
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ac913aa886 |
🔐 chore: Skills Permissions Housekeeping, Reachable Admin Dialog + Defaults Tests (#12766)
* 🔐 chore: Skills permissions housekeeping — reachable admin dialog + defaults tests
Phase 9 housekeeping pass. Skills was already gated on `PermissionTypes.SKILLS`
(seeded from `interface.skills`) and `AgentCapabilities.skills` everywhere it
matters, but two smaller parity gaps with Prompts/Memory/MCP remained:
- The skills admin settings dialog had no UI entry point. The only mount was
inside an unused `FilterSkills` component, so admins had no way to reach the
role-permissions editor for skills. Mounted it in `SkillsAccordion` gated on
`SystemRoles.ADMIN`, matching the `PromptsAccordion` pattern.
- No regression lock on skill permission defaults. `roles.spec.ts` asserted
structural completeness but not the specific shape — a future refactor
could silently flip ADMIN's `USE/CREATE/SHARE/SHARE_PUBLIC` to false or
drop SKILLS from USER defaults without failing. Added explicit Skills
assertions for both roles.
- No lock on `AgentCapabilities.skills` being in `defaultAgentCapabilities`.
Added an assertion in `endpoints.spec.ts`.
* 🩹 fix: Remove duplicate `const appConfig` in Responses createResponse
The Skills polish commit (#12760) added `const appConfig = req.config;` at
line 381 inside the try block of `createResponse`, without noticing that
the earlier drive-by fix (
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91cd3f7b7c |
🧽 refactor: Skills polish: precedence-aware body validation, controller drop logs, SkillPills rename (#12760)
Post-merge sanity-review cleanup on top of #12746: - `createSkill` / `updateSkill` now parse SKILL.md body's always-apply status once and reuse it for both validation and derivation (was parsing the same YAML block twice per call). - Body-inline `always-apply:` validation becomes precedence-aware: a caller sending an explicit top-level `alwaysApply` or a structured `frontmatter['always-apply']` no longer gets rejected for a typo in the body — the body value is never consulted at derivation time when a higher-precedence source wins. New tests cover the three relevant interactions (explicit+body-typo, frontmatter+body-typo, body-only typo still rejects). - OpenAI and Responses controllers now emit a `logger.warn` when `injectSkillPrimes` drops always-apply primes to stay under `MAX_PRIMED_SKILLS_PER_TURN`. `injectSkillPrimes` already logs internally; the controller-level warn adds endpoint context so operators can identify which path hit the cap at a glance. Mirrors AgentClient's existing log. - Rename `ManualSkillPills` → `SkillPills` (component + type + file + test + all JSDoc references). The component handles both manual and always-apply pills now; the original name was carried over from the manual-only Phase 3 and misleads new readers. - Drive-by fix: declare `appConfig = req.config` at the top of `createResponse` in `responses.js` — it was used unqualified on lines 381/396, which silently evaluated to `undefined` (via optional chaining) and disabled the skills-capability check on the Responses endpoint. Pre-existing, surfaced by lint on the touched file. |
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7581540ab6 |
🔌 refactor: Decouple bash_tool from Per-User CODE_API_KEY (#12712)
* 🔌 refactor: Decouple bash_tool from Per-User CODE_API_KEY
Phase 4 of Agent Skills umbrella (#12625): gate bash_tool and skill
file priming on the `execute_code` capability only. Thread a boolean
`codeEnvAvailable` through `enrichWithSkillConfigurable` and
`primeInvokedSkills` in place of the old per-user `codeApiKey` +
`loadAuthValues` plumbing. The sandbox API key is the LibreChat-
hosted service key — system-level, not a user secret — so the
per-user lookup was legacy; when needed, it's read directly from
`process.env[EnvVar.CODE_API_KEY]` inside the capability gate.
`handleSkillToolCall` and `primeInvokedSkills` gate sandbox uploads
on `codeEnvAvailable` first, preventing skill-file uploads to the
sandbox when an agent has `execute_code` disabled even if the env
var happens to be set. The agents library resolves the env key
itself for `bash_tool`, so `ToolService.js` drops the
`loadAuthValues` lookup and the "Code execution is not available"
placeholder tool in favor of a plain `createBashExecutionTool({})`
with a loud error log if the env var is missing.
Also fixes a pre-existing `appConfig`-undefined lint error in
`responses.js`/`createResponse` that surfaced when this file was
touched (declares `const appConfig = req.config` at function top,
matching the existing pattern in other controllers).
Preserves the `skillPrimedIdsByName` threading added by Phase 3/5/6
and all Phase 3/5/6 call-site signatures. Adds
`skillConfigurable.spec.ts` (5 cases pinning the new surface) and
`skillFiles.spec.ts` (4-way matrix of capability × env key for
`primeInvokedSkills`).
* 🧪 refactor: Address Codex Review Feedback
Resolves findings from the second codex review on #12712:
- MAJOR: `handlers.spec.ts` now covers the `codeEnvAvailable` gate in
`handleSkillToolCall` across three cases (gate off, gate on + env
set, gate on + env unset). The gate is the critical regression
prevention — a future edit that drops it would silently re-enable
sandbox uploads for agents with `execute_code` disabled.
- MINOR: Hoist `codeEnvAvailable` and `skillPrimedIdsByName` out of
`loadTools` closures in `openai.js` and `responses.js`. Both values
are fixed once `initializeAgent` resolves, so recomputing them on
every tool execution was wasted work. `responses.js` shares a single
pair between its streaming and non-streaming branches.
- MINOR: `skillFiles.spec.ts` now has a test that exercises the full
upload path end-to-end with real file records, asserting
`batchUploadCodeEnvFiles` is called with the env-sourced apiKey and
the correct file set (including the synthetic `SKILL.md`).
- NIT: Finish the `appConfig` extraction in `responses.js/createResponse`
— replaces the remaining `req.config` references with `appConfig` for
consistency with the pattern in other controllers.
No behavioral changes beyond what was already in place; this is
coverage and readability polish.
* 🧷 test: Tighten Spec Hygiene Per Codex Nit Feedback
Round-3 codex review flagged two NITs on the test code added in the
previous commit:
- Replace `_id: 'skill-id' as unknown as never` in the new
`makeSkillHandlerWithFiles` helper with a real `Types.ObjectId`,
matching the pattern used by the primed-skill tests further up in
the same file (and by `skillFiles.spec.ts`). The `never` cast
hides the fact that `_id` really is a string / ObjectId at runtime.
- Replace the ad-hoc `{ on, pipe, read }` stub with a real
`Readable.from(Buffer.from(''))` in the upload-path test. The stub
worked only because `batchUploadCodeEnvFiles` is mocked and never
iterates the stream; `Readable.from` satisfies the same contract
and is robust to any future partial-real replacement of the upload
function.
Pure test-hygiene improvements; no runtime code touched.
* 🧹 chore: Remove Duplicate appConfig Declaration After Rebase
The upstream `
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5c69d1f7fa |
🩹 fix: define appConfig in Responses API createResponse
responses.js referenced `appConfig` on lines 381 / 396 without ever declaring it, so `createResponse` threw `ReferenceError: appConfig is not defined` the moment it entered the skills-capability block. The existing `recordCollectedUsage` unit tests silently stopped running (try/catch swallowed the error into `logger.error`), so CI showed 6 assertions failing with "Expected calls: 1, Received: 0" — the function never reached the recorder. Mirror initialize.js: seed `appConfig = req.config` at the top of the try block, before the `enabledCapabilities` Set it feeds into. The two later `appConfig: req.config` call-sites keep the direct reference — only the lexical reads needed a binding. This failure already exists on origin/feat/agent-skills (the same 6 tests fail there with the same stack) but blocks our branch too since we're rebased on top, so fix it here and cherry-pick back if needed. |
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dfc3dfa57f |
📍 feat: always-apply frontmatter: auto-prime skills every turn (#12746)
* 🔁 refactor: Rebase always-apply work onto merged structured-frontmatter columns Phase 6 (disable-model-invocation / user-invocable / allowed-tools) landed first on feat/agent-skills. Reconcile this branch with the new mainline: - Thread alwaysApplySkillPrimes through unionPrimeAllowedTools alongside manualSkillPrimes, applying the combined MAX_PRIMED_SKILLS_PER_TURN ceiling before loading tools. - Add `_id` to ResolvedAlwaysApplySkill to match Phase 6's ResolvedManualSkill shape (read_file name-collision protection). - Register 'always-apply' in ALLOWED_FRONTMATTER_KEYS / FRONTMATTER_KIND so Phase 6's validator recognizes it. - Drop frontmatter from the listSkillsByAccess projection; the backfill helper remains as defensive code but its read path is no longer exercised on summary rows (no legacy rows exist — the branch never shipped), saving ~200KB per page. - Retire the corresponding "backfills legacy on summaries" test. - Plumb listAlwaysApplySkills through the JS controllers + endpoint initializer so the always-apply resolver sees a real DB method. * 🧹 fix: Dedupe manual/always-apply overlap, share YAML util, tidy comments Addresses review findings: - Cross-list dedup: when a user $-invokes a skill that is also marked always-apply, the always-apply copy is now dropped so the same SKILL.md body never primes twice in one turn. Manual wins (explicit intent, closer to the user message). Dedup runs in both initializeAgent (so persisted user-bubble pills stay in sync) and injectSkillPrimes (defense-in-depth at splice time). New test cases cover single-overlap, partial-overlap, and dedup-before-cap. - DRY: extract stripYamlTrailingComment to packages/data-schemas/src/utils/yaml.ts; packages/api/src/skills/import.ts now imports the shared helper. Also drop the redundant inner stripYamlTrailingComment call inside parseBooleanScalar — the call site already strips. - Mark injectManualSkillPrimes as @deprecated in favor of injectSkillPrimes (kept for external consumers of @librechat/api). - Document SKILL_TRIGGER_MODEL as forward-looking plumbing for the model-invoked path rather than leaving it as a bare unused export. - Replace the stale "frontmatter is included" comment on listSkillsByAccess with an accurate explanation of why it was intentionally excluded. * 🔒 fix: Include always-apply primes in skillPrimedIdsByName + clear alwaysApply on body opt-out Two bugs flagged by Codex review: P1 (read_file): `manualSkillPrimedIdsByName` only carried manual-invocation primes, so an always-apply skill with `disable-model-invocation: true` was blocked from reading its own bundled files, and same-name collisions could resolve to a different doc than the one whose body got primed. - Rename `buildManualSkillPrimedIdsByName` → `buildSkillPrimedIdsByName` (accepts both manual + always-apply prime arrays). - Rename the configurable field `manualSkillPrimedIdsByName` → `skillPrimedIdsByName` throughout the plumbing (skillConfigurable.ts, handlers.ts, CJS callers, tests). - Overlap resolution: manual wins on the rare edge case where the same name appears in both arrays (upstream dedup should prevent this, but defensive merging treats manual as authoritative). - New tests: (1) gate-relaxation fires for always-apply primes, (2) `_id` pinning works for always-apply same-name collisions. P2 (updateSkill): when a body update had no `always-apply:` key, `extractAlwaysApplyFromBody` returned `absent` and the column was left untouched. A skill that was once `alwaysApply: true` would keep auto-priming even after its SKILL.md no longer declared the flag. - Treat `absent` as a positive "not always-apply" declaration when the body is explicitly submitted; flip the column to `false`. - Explicit top-level `alwaysApply` still wins (three-source precedence unchanged). - New tests: body removes key → false, body has no frontmatter at all → false, explicit + body-without-key → explicit wins. * 🧵 refactor: Collapse duplicate prime types + tighten parse + test hygiene Sanity-check review follow-ups: - Collapse `ResolvedManualSkill` / `ResolvedAlwaysApplySkill` into a single `ResolvedSkillPrime` canonical interface with two backward- compatible type aliases. Both resolvers feed the same pipeline stages (injectSkillPrimes, unionPrimeAllowedTools, buildSkillPrimedIdsByName); the per-source distinction lives on `additional_kwargs.trigger`, not on the resolver output. - Move the `always-apply` branch in `parseFrontmatter` to operate on the raw post-colon text. The outer `unquoteYaml` was fine today because it's idempotent on non-quoted strings, but running it twice (once per line, once after stripping the inline comment) would be fragile if the unquoter ever grows richer YAML-escape handling. - Add the missing `alwaysApplyDedupedFromManual: 0` field to the `injectSkillPrimes` mocks in `openai.spec.js` and `responses.unit.spec.js` so they match the full `InjectSkillPrimesResult` contract. - Insert the blank line between the `unionPrimeAllowedTools` and `resolveAlwaysApplySkills` describe blocks. * 🔧 fix(tsc): Cast mock.calls via `unknown` for strict tuple destructure `getSkillByName.mock.calls[0]` is typed as `[]` by jest's generic default; a direct cast to `[string, ..., ...]` fails TS2352 under `--noEmit` even though the runtime shape matches. Go through `as unknown as [...]` like the earlier test in the same file so CI's type-check step stays green. * 🪢 fix: Propagate skillPrimedIdsByName into handoff agent tool context Handoff agents go through the same `initializeAgent` flow as the primary (with `listAlwaysApplySkills` now plumbed), so they resolve their own `manualSkillPrimes` and `alwaysApplySkillPrimes` — but the `agentToolContexts.set(...)` for handoff agents didn't carry `skillPrimedIdsByName` into the per-agent context. That meant `handleReadFileCall` fell back to the full ACL set + a `prefer*` flag for handoff agents: same-name collisions could resolve to a different doc than the one whose body got primed, and a `disable-model-invocation: true` skill primed via manual `$` or always-apply inside the handoff flow would be blocked from reading its own bundled files. Build the map via `buildSkillPrimedIdsByName(config.manualSkillPrimes, config.alwaysApplySkillPrimes)` for every handoff tool context so `read_file` behaves identically across primary and handoff agents. |
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82173f7b91 |
🛡️ feat: Persist & enforce disable-model-invocation / user-invocable / allowed-tools (#12745)
* 🧬 feat: Persist `disable-model-invocation` / `user-invocable` / `allowed-tools` Adds first-class columns mirroring the three runtime-enforced frontmatter fields, with a `deriveStructuredFrontmatterFields` helper that maps from frontmatter at create/update time and re-syncs (via `$unset`) when fields are removed. `listSkillsByAccess` projection includes them so the Phase 6 catalog filter and popover filter can both read off the summary row. Marks `invocationMode` as @deprecated on `TSkill` and the `InvocationMode` enum — the runtime now reads the persisted pair instead. * 🛡️ feat: Enforce frontmatter at runtime (catalog, skill tool, manual resolver, tool union) Wires the persisted columns into actual runtime behavior across all four invocation paths: - `injectSkillCatalog` excludes `disableModelInvocation: true` skills before catalog formatting — they cost zero context tokens and stay invisible to the model. - `handleSkillToolCall` rejects with a clear error when the model names a skill marked `disable-model-invocation: true` (defends against a stale-cache or hallucinated invocation getting past the catalog filter). - `resolveManualSkills` skips `userInvocable: false` skills with a warn log so an API-direct caller can't bypass the popover-side filter. - `unionPrimeAllowedTools` collects skill-declared `allowed-tools` minus what's already on the agent; `initialize.ts` re-runs `loadTools` for the extras and merges resulting `toolDefinitions` into the agent's effective set for the turn. Tool-name resolution is tolerant — unknown names silently drop with a debug log so cross-ecosystem skills referencing yet-to-be-implemented tools (Claude Code's `edit_file`, etc.) import without breaking. The agent document is never modified; the union is turn-scoped. Helper exports (`unionPrimeAllowedTools`) are structured so Phase 5's always-apply primes flow through the same union (combined `[...manualPrimes, ...alwaysApplyPrimes]`) once the resolver lands. Skill handler wire format gains the three fields so clients can render them on detail / list views. * 🎛️ feat: `$` popover reads `userInvocable` instead of UI-only `invocationMode` Replaces the phase-1 UI-only `invocationMode` check with the persisted `userInvocable` field (mirrors the `user-invocable` frontmatter). Skills authored with `user-invocable: false` no longer surface in the popover; the backend resolver enforces the same rule for defense-in-depth. Default-visible behavior is preserved: skills without an explicit `userInvocable` value (older rows, freshly imported skills that don't declare the field) stay visible — only an explicit `false` hides them. Test fixture updated to reflect the new field. * 🔧 fix: Address Phase 6 review findings Codex P2 + reviewer #1: Single `loadTools` call with the union of `agent.tools + allowed-tools`. The earlier two-call approach dropped `userMCPAuthMap` / `toolContextMap` / `actionsEnabled` from the skill-added pass — an MCP tool gained via `allowed-tools` would be visible to the model but fail at execution without per-user auth context. Resolution of `manualSkillPrimes` is hoisted before `loadTools` so the union can be computed up-front; the dropped-tools debug log now compares loaded vs. requested across the single call. Codex P3 + reviewer #2: `injectSkillCatalog.activeSkillIds` now includes `disable-model-invocation: true` skills. The runtime ACL check in `handleSkillToolCall` previously couldn't reach the explicit "cannot be invoked by the model" rejection because the broader access set excluded those skills. Catalog text and tool registration still gate on the visible subset (zero-context-token guarantee preserved); only the per-user `isActive` filter is a hard exclusion now. Reviewer #1 (try/catch around loadTools, MAJOR): A single bad `allowed-tools` entry from a shared skill could crash the entire turn. Now wrapped — on failure with extras, retry with just `agent.tools` and continue (the dropped-tools debug log surfaces what vanished). If the retry-without-extras still throws, propagate; the agent's own tools are the load-bearing surface. Reviewer #3 (integration tests, MAJOR): Added six tests in `initialize.test.ts` covering the full `allowed-tools` loading path: union pass-through, no-extras short-circuit, agent-baseline dedup, loadTools throw + retry, propagated throw without extras, and the empty-tools edge case. Smaller cleanups bundled in: - Reviewer #4: Moved `logger` import to the package-imports section (was wedged among local imports). - Reviewer #5: Removed unused index on `disableModelInvocation` (filtering happens application-side in `injectSkillCatalog`; index cost write overhead for zero query benefit). - Reviewer #6: Swapped order of `userInvocable` and body checks in `resolveManualSkills` so the more authoritative author-decision reason surfaces first when both apply. - Reviewer #8: Documented the `allowedTools` enforcement gap on the schema + type — model-invoked skills (mid-turn `skill` tool calls) do NOT trigger tool union, since adding tools after the graph starts would require a rebuild. Manual / always-apply (Phase 5) primes are the supported paths. - Reviewer #9: Renamed `dmi` / `ui` / `at` locals to `disableModelInvocationRaw` / `userInvocableRaw` / `allowedToolsRaw` in `deriveStructuredFrontmatterFields`. Reviewer #7 (DRY shared `getSkillByName` return type) deferred — field sets diverge meaningfully across the three call sites (handler needs `body + fileCount`; resolver needs `author + allowedTools + userInvocable`; the InitializeAgentDbMethods contract needs the superset). A `Pick<>`-based consolidation is a follow-up cleanup. * 🔧 fix: Address codex iter 2 — catalog quota + duplicate-name dedup P1: `injectSkillCatalog` cap now counts only model-visible skills, not the merged active set. The previous behavior let a tenant with many `disable-model-invocation: true` rows near the top of the cursor exhaust the 100-slot quota before any invocable skill got scanned — the catalog could end up empty even though invocable skills existed further down the paginated results. `MAX_CATALOG_PAGES` stays the ceiling on scan budget; only `visibleCount` drives the early-exit on quota fill. P2: When an invocable and a `disable-model-invocation: true` skill share a name, drop the disabled doc(s) from `activeSkillIds`. Without this dedup, `getSkillByName` (which sorts by `updatedAt` desc) could pick the disabled doc and every model call to the cataloged name would fail with "cannot be invoked by the model" instead of executing the visible skill. When ONLY a disabled doc exists for a name, it stays in `activeSkillIds` so the explicit-rejection error path still fires for hallucinated invocations. Tests: 3 new cases in `injectSkillCatalog` covering (a) cap counted on visible skills only, (b) same-name collision drops disabled doc, (c) sole-disabled-name case keeps the disabled doc. * 🔒 fix: Apply `disable-model-invocation` gate to read_file too (codex iter 3 P1) `activeSkillIds` is shared between the `skill` and `read_file` handlers. The skill-tool gate was applied last iteration, but `handleReadFileCall` authorized purely on `getSkillByName(..., accessibleIds)` — so a model that learned a hidden skill's name (stale catalog or hallucination) could still read its `SKILL.md` body or bundled files via `read_file`, defeating the contract. Same explicit rejection now fires from both handlers; no change needed to the ACL set itself (disabled docs stay in `activeSkillIds` so the explicit error path keeps firing). Two new tests in `handlers.spec.ts` cover the read_file gate and regression-protect the happy path. * 🔧 fix: Address codex iter 4 — manual-prime exception + legacy frontmatter backfill P1: Scope the `read_file` `disableModelInvocation` gate to AUTONOMOUS model probes only. A user-invoked `$` skill that is also marked `disable-model-invocation: true` had its bundled `references/*` / `scripts/*` files unreadable, leaving the manually-primed skill body referencing files the model couldn't load. Now the handler bypasses the gate when the skill name appears in `manualSkillNames` (the per-turn allowlist threaded from `manualSkillPrimes` → `agentToolContexts` → `enrichWithSkillConfigurable` → `mergedConfigurable`). Defense-in-depth: the bypass is scoped to the specific names in the allowlist; a different disabled skill name is still rejected. P2: Read-time fallback for legacy skills authored before Phase 6 landed the structured columns. `user-invocable: false` / `disable-model-invocation: true` set in `frontmatter` (the validator already accepted those keys) but with no derived column would incorrectly evaluate as "user-invocable / model-allowed" until a save backfilled the columns. New `backfillDerivedFromFrontmatter` helper fills undefined columns from frontmatter at read time in both `getSkillByName` and `listSkillsByAccess` — column wins when both are set, frontmatter fills the gap when only it's set. No DB writes; the next `updateSkill` naturally persists. `listSkillsByAccess` projection expanded to include `frontmatter` (bounded by validator, payload impact small) so summaries can also be backfilled. Sticky-primed disabled skills (ones invoked in prior turns of the same conversation) are not yet in the manual-prime allowlist — same- turn manual invocation is the load-bearing path codex flagged; the sticky-turn case is a known limitation tracked for a follow-up. Tests: 2 new in handlers.spec.ts (manual-prime allows + name-scoped block holds), 3 new in skill.spec.ts (legacy backfill via getSkillByName + listSkillsByAccess + column-wins precedence). * 🔧 fix: Address codex iter 5 — propagate manualSkillNames + keep read_file P1: `enrichWithSkillConfigurable` is also called from `openai.js` and `responses.js` (the OpenAI Responses + completions endpoints). Both were ignoring the new `manualSkillNames` parameter, which meant the manual-prime exception in the `read_file` gate (iter 4) only worked on the agents endpoint. Now all three call sites pass `primaryConfig.manualSkillPrimes?.map(p => p.name)` so manual `$` invocations of disabled skills work consistently across endpoints. P2: When every accessible skill is `disable-model-invocation: true`, the catalog text and `skill` tool are correctly omitted (no model- reachable targets) — but `read_file` and `bash_tool` MUST still be registered. A user manually invoking such a skill gets its SKILL.md body primed into context; if the body references `references/foo.md` or `scripts/run.sh`, those reads need a registered tool. Restructured `injectSkillCatalog` so `skill` registration is gated on `catalogVisibleSkills.length > 0` while `read_file` (always) and `bash_tool` (when codeEnvAvailable) register whenever any active skill is in scope. Tests: existing all-disabled test rewritten to assert read_file IS registered + skill is NOT; new test confirms bash_tool joins it when codeEnvAvailable. * 🔧 fix: Address codex iter 6 — name-collision consistency via preferInvocable P2a (resolveManualSkills): a name collision between an older user-invocable doc and a newer non-user-invocable doc made manual `$` invocation silently no-op. The popover surfaced the older invocable doc; resolver looked it up by name; `getSkillByName` returned the newer non-invocable doc; resolver skipped on `userInvocable: false`. P2b (handler / runtime ACL): with same-name duplicates (e.g. older invocable + newer disabled), the manual prime resolved to one doc while later `read_file` / `skill` execution resolved a different doc through `activeSkillIds`. Model could follow one SKILL.md body while reading files from a different skill. Both root-cause: `getSkillByName` always returned the newest match and let the caller filter, but with collisions the newest can be something the caller didn't want. Fix: extend `getSkillByName` with `options.preferInvocable`. When true, prefer the newest doc satisfying BOTH `userInvocable !== false` AND `disableModelInvocation !== true` (with frontmatter backfill); fall back to the newest match otherwise. Fast path preserved when caller doesn't opt in. Callers passing `preferInvocable: true`: - `resolveManualSkills` — picks the popover-visible invocable doc even when a newer disabled / non-user-invocable duplicate exists. - `handleSkillToolCall` — keeps execution aligned with the catalog; falls back to the disabled doc only when no invocable variant exists (so the explicit "cannot be invoked by the model" gate still fires for the hallucinated-disabled-name case). - `handleReadFileCall` — same alignment, plus the manual-prime exception added in iter 4 still applies. Tests: - 2 new in skill.spec.ts (preferInvocable picks invocable when collision exists; falls back to newest when no clean-invocable exists). - 1 new in skills.test.ts (resolver passes preferInvocable through). - 2 new in handlers.spec.ts (skill tool + read_file pass it). - Existing initialize.test.ts assertion updated for the new option. * 🔧 fix: Address codex iter 7 — split preferInvocable into per-axis flags The previous unified `preferInvocable` filter required BOTH `userInvocable !== false` AND `disableModelInvocation !== true`. That was wrong for the model paths: `userInvocable: false` skills are model-only and remain valid `skill` / `read_file` invocation targets. A duplicate-name scenario where the newer cataloged doc was model- only would let the older user-invocable variant shadow it on every model call. Split the option into two independent axes: - `preferUserInvocable` — for manual paths (`$` popover). Skips docs with `userInvocable: false`. Disable-model-invocation status is irrelevant; iter 4 explicitly supports manual prime of disabled skills. - `preferModelInvocable` — for model paths (`skill` / `read_file` handlers). Skips docs with `disableModelInvocation: true`. User- invocable status is irrelevant; model-only skills are valid here. Both flags fall back to the newest match when no preferred doc exists, so the explicit-rejection error paths still fire correctly in the sole-disabled-name case. Callers updated: - `resolveManualSkills` → `preferUserInvocable: true` - `handleSkillToolCall` / `handleReadFileCall` → `preferModelInvocable: true` Tests: - New spec test for preferModelInvocable not filtering on userInvocable. - Existing preferInvocable test renamed/split to cover the new axes. - New test asserts preferUserInvocable still returns disabled docs (preserves iter 4 manual-disabled support). - Caller tests assert each path passes the right single flag and does NOT pass the wrong one. * 🔧 fix: TypeScript type-check failure in handlers.spec.ts (CI green) `jest.fn(async () => ...)` without explicit args infers an empty tuple for the call signature, so `mock.calls[0][2]` flagged as "Tuple type '[]' has no element at index '2'." Cast to `unknown[]` then narrow to the expected option shape. Behavior unchanged. Caught by the `Type check @librechat/api` CI step (.github/workflows/backend-review.yml). * 🔧 fix: Address codex iter 8 — undefined-result fallback + read_file alignment P1 (loadTools returning undefined): Production loaders (`createToolLoader` in `initialize.js` / `openai.js` / `responses.js`) wrap `loadAgentTools` in try/catch and return `undefined` on failure rather than throwing. Without explicit handling, my iter-1 try/catch only fired for thrown errors — a silent-failure on a skill-added tool would fall through to the empty fallback and silently DROP the agent's baseline tools for the turn (much worse than just losing the extras). Added an `undefined`-result branch that retries with just `agent.tools`, mirroring the throw branch. Test pins both behaviors. P2 (read_file alignment with manual prime): When a skill is in this turn's `manualSkillNames`, the `read_file` handler now uses `preferUserInvocable` instead of `preferModelInvocable`. Same name-collision rule as `resolveManualSkills`, so the doc whose files get read is the same doc whose body got primed. For autonomous probes (skill not in `manualSkillNames`), the handler keeps `preferModelInvocable` to align with the catalog the model saw. Two new tests cover both branches and regression-protect that the wrong flag isn't passed. * 🔧 fix: Address codex iter 9 — pin read_file lookup to primed skill _id P1 (manually-primed disabled IDs were dropped from activeSkillIds): The `executableSkills` dedup in `injectSkillCatalog` correctly drops `disable-model-invocation: true` duplicates when an invocable doc shares the name — but `resolveManualSkills` legitimately primes disabled docs (iter 4 supports manual `$` invocation of disabled skills). When the resolver primed a disabled doc, the read_file handler couldn't find it in the (deduped) `activeSkillIds` and either resolved a different same-name skill or returned not-found. Fix: `ResolvedManualSkill` now carries `_id`; the legacy `initialize.js` / `openai.js` / `responses.js` controllers build a `manualSkillPrimedIdsByName` map and `enrichWithSkillConfigurable` passes it into `mergedConfigurable`. `handleReadFileCall` now pins its lookup's `accessibleIds` to `[primedId]` whenever the requested skill is in the map. The constrained set guarantees the lookup returns the EXACT doc the resolver primed — body/files come from the same source even when same-name duplicates exist or the dedup removed the prime's id from `activeSkillIds`. Autonomous read_file probes (skill not in the manual-primed map) keep the full ACL set + `preferModelInvocable` so they align with the catalog the model saw and the disabled-only case still fires the explicit-rejection gate. Test fixture changes flow from `_id` becoming required on `ResolvedManualSkill`. `buildSkillPrimeContentParts` / `injectManualSkillPrimes` widen their param types to `Pick<...>` because they only read `name` / `body` and shouldn't force test literals to invent placeholder ids. * 🧹 fix: Address independent reviewer findings (DRY + types + tests + docs) Sanity-pass review surfaced 7 findings; addressed 6 (the 7th — DRY on inline `getSkillByName` return types — is acknowledged tech debt deferred to a follow-up). #1 [MAJOR, DRY]: The 4-line `manualSkillPrimedIdsByName` map construction was duplicated across 4 CJS call sites (openai.js, responses.js x2, initialize.js). Extracted `buildManualSkillPrimedIdsByName` helper in `skillDeps.js`; all four sites now call the helper. If `ResolvedManualSkill` ever renames `_id` or gains identifying fields, only the helper changes. #2 [MINOR, type safety]: `handleReadFileCall` was casting a hex string to `Types.ObjectId[]` via `as unknown as`, relying on mongoose's auto-cast in `$in` queries. Replaced with `new Types.ObjectId(...)` so any future consumer comparing with `.equals()` / `===` gets the correct value type. Imported `Types` as a value (was type-only). #5 [MINOR, test gap]: Added a test for the worst-case silent-failure path — both the union and base-only `loadTools` calls return undefined. The agent gets no tools but the turn doesn't crash hard; pinning that contract. #4 [MINOR, performance]: Added a TODO on the `listSkillsByAccess` projection noting the `frontmatter` field can be dropped once a write migration backfills all pre-Phase-6 skills' columns. ~2KB/skill × 100/page is wasted bandwidth post-backfill. #6 [NIT, docs]: `backfillDerivedFromFrontmatter` JSDoc said "Pure" right before "mutates its undefined fields in place". Replaced with "Side-effect-free w.r.t. the DB (no writes), but mutates its argument in place" which describes both halves accurately. #7 [NIT, test determinism]: Replaced `await new Promise(r => setTimeout(r, 5))` in two same-name collision tests with explicit `updateOne` setting `updatedAt: new Date(Date.now() - 1000)` on the older doc. Removes the wall-clock race on fast CI runners. The pagination test (line 480) still uses setTimeout — that test is pre-existing and order is incidental, not load-bearing. Existing test fixtures updated to use valid 24-char hex ObjectIds (required by the iter-9 test that constructs a real `ObjectId`). #3 [MINOR, deferred]: Inline `getSkillByName` return type duplicated across `handlers.ts`, `initialize.ts`, `skills.ts`. Reviewer acknowledged this as deferred; field sets diverge across call sites (handler needs `fileCount`, resolver needs `author`/`allowedTools`). A `Pick<>`-based consolidation is a clean follow-up. |
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🎬 feat: Prime Manually-Invoked Skills via $ Popover (#12709)
* 🎬 feat: Prime Manually-Invoked Skills via $ Popover Lands the backend for manual skill invocation, making the $ popover deterministically prime SKILL.md before the LLM turn instead of leaving the model to discover the skill via the catalog. Flow: popover drains pendingManualSkillsByConvoId on submit, attaches names to the ask payload, controllers forward to initializeAgent, and initialize resolves each name to its body (ACL + active-state filtered, reusing the same rules as catalog injection). AgentClient splices the primes as meta HumanMessages before the user's current message. - Extract primeManualSkill / resolveManualSkills in packages/api/src/agents/skills.ts and reuse primeManualSkill inside handleSkillToolCall for a single shape source. - Thread manualSkills + getSkillByName through InitializeAgentParams / DbMethods and all three initializeAgent call sites (initialize.js, responses.js, openai.js). - Splice HumanMessage primes in client.js chatCompletion after formatAgentMessages, shifting indexTokenCountMap so hydrate still fills fresh positions correctly. - Carry isMeta / source / skillName in additional_kwargs for downstream filtering. * 🛡️ fix: Scope manual skill primes to single-agent + cap resolver input Two follow-ups to the Phase 3 priming path flagged in Codex review. Multi-agent runs: skipping the splice when agentConfigs is non-empty. `initialMessages` is shared across every agent in `createRun`, so splicing a skill body there would bypass Phase 1's per-agent `scopeSkillIds` contract — a handoff / added-convo agent with a different skill scope would see content its configuration excludes. Warn + skip is the minimal correct behavior; lifting this to per-agent initial state is a follow-up. Input bounding: `resolveManualSkills` now truncates to `MAX_MANUAL_SKILLS` (10) after dedup, with a warn listing the dropped tail. Controllers only validate `Array.isArray(req.body.manualSkills)`, so a crafted payload could otherwise fan out into an unbounded `Promise.all` of concurrent `getSkillByName` DB lookups. Cap lives in the resolver so every caller (including future `always-apply` in Phase 5) inherits it. * 🧪 refactor: Testable Helpers + Payload Validation for Manual Skill Primes Follow-ups from the comprehensive review. No behavior change for the happy path — these are architectural and defensive improvements that shrink the JS surface in /api, tighten the request-body contract, and cover the delicate splice logic with proper unit tests. - Extract `injectManualSkillPrimes` into packages/api/src/agents/skills.ts so the message-array splice and `indexTokenCountMap` shift are unit- testable in TS. client.js now calls the helper. Tests pin the `>=` vs `>` boundary condition — a regression here would silently corrupt token accounting for every message after the insertion point. - Extract `extractManualSkills(body)` and use in all three controllers (initialize.js, responses.js, openai.js). Replaces copy-pasted `Array.isArray(...) ? ... : undefined` with a helper that also filters non-string / empty elements — closes a type-safety gap where a crafted payload like `{"manualSkills": [123, {"$gt":""}]}` would otherwise reach `getSkillByName` and waste DB round-trips. - Rename `primeManualSkill` → `buildSkillPrimeMessage`. The helper serves three invocation modes (`$` popover, `always-apply`, model-invoked); the old name misled readers coming from `handleSkillToolCall`. - Add `loadable.state === 'hasValue'` guard in `drainPendingManualSkills` — defensive, since the atom has a synchronous `[]` default, but the previous `.contents` cast would have been unsound under loading/error. - Document why `resolveManualSkills` honors the active-state filter even for explicit `$` selections (Phase 2 popover filter + API-direct hardening). - Remove stray `void Types;` in initialize.test.ts — `Types` is already consumed elsewhere in that test. * 🔖 refactor: Single source for the skill-message source marker Export `SKILL_MESSAGE_SOURCE = 'skill'` and use it in both construction paths that stamp skill-primed messages — `buildSkillPrimeMessage` (for the model-invoked tool path) and `injectManualSkillPrimes` (for the user-invoked splice path). Downstream filtering and telemetry read this marker, so the two paths must agree; keeping the literal in one place removes the risk of them drifting when Phase 5's `always-apply` adds a third caller. * ♻️ refactor: Drop Multi-Agent Guard + Review Polish - Remove the multi-agent skip in `AgentClient.chatCompletion`. Leaking primes to handoff / added-convo agents via shared `initialMessages` is the agents SDK's concern to scope; this layer should just inject and let the graph handle agent-scoped state. The guard was well-intended but produced a silent-drop UX where `$skill` in a multi-agent run did nothing. - Bound the `[resolveManualSkills] Truncating ...` warn output to the first 5 dropped names plus a count suffix. A malicious payload of 1000 names was previously spilling all ~990 names into the log line. - Remove dead `?? []` from the `hasValue`-guarded loadable read in `drainPendingManualSkills` — the atom always yields a string[] when resolved, so the nullish fallback was unreachable. - Reorder skills.ts imports to follow the style guide: value imports shortest-to-longest (`data-schemas` → `langchain/core/messages` → multi-line `@librechat/agents`), type imports longest-to-shortest. * 🧠 fix: Strip Skill Primes from Memory Window + Unbreak CI Mocks Two fixes after the last push. CI unbreak: `responses.unit.spec.js` and `openai.spec.js` mock `@librechat/api` and the mock didn't expose the new `extractManualSkills` symbol, so every test in those files crashed before reaching the `recordCollectedUsage` assertion. Added `extractManualSkills: jest.fn()` returning `undefined` to both mocks; the controllers now no-op on manualSkills as the tests expect. Codex P2: `runMemory` passes `messages` straight through to the memory processor, so after the splice in `injectManualSkillPrimes`, SKILL.md bodies ride along as if they were real user chat. That pollutes memory extraction with synthetic instruction content and crowds out real turns from the window. - Export `isSkillPrimeMessage(msg)` from `packages/api/src/agents/skills.ts` — a predicate keyed on the shared `SKILL_MESSAGE_SOURCE` marker. - Filter `chatMessages = messages.filter(m => !isSkillPrimeMessage(m))` at the top of `runMemory` before the window-sizing logic. Keeps the primes visible to the LLM (they still ride in `initialMessages`) but invisible to the memory layer. - 5 new tests for the predicate covering marker-present, plain messages, different source, non-object inputs, and array filter integration. * 📜 feat: Show Skill-Loaded Cards for Manually-Invoked Skills The $ popover was priming SKILL.md bodies into the turn but leaving no visible trace on the assistant response — from the user's view it looked like the `$name ` cosmetic text did nothing. Now each manually-invoked skill renders the same "Skill X loaded" tool-call card that model-invoked skills already produce via PR #12684's SkillCall renderer. Approach: post-run prepend to `this.contentParts`. The aggregator owns per-step indices during the run, so pre-seeding collides; waiting until `await runAgents(...)` returns lets the graph settle before synthetic parts slot in at the front. - Export `buildSkillPrimeContentParts(primes, { runId })` from `packages/api/src/agents/skills.ts`. Returns completed tool_call parts (`progress: 1`, args JSON-encoded with `{skillName}`, output matching the model-invoked path's wording) that the existing `SkillCall.tsx` renderer draws identically. - In `AgentClient.chatCompletion`, prepend the built parts to `this.contentParts` immediately after `await runAgents`. Persistence and the final-event reconcile come for free — `sendCompletion` already reads `this.contentParts` verbatim. - Card ordering: skills appear first in the assistant message, reflecting that priming ran before the LLM's turn. Live-during-streaming cards are a separate follow-up — the graph's index-based aggregator makes that a bigger lift and this change delivers the core UX win without fighting the stream ordering. 6 new unit tests covering part shape, args JSON contract, output text, unique IDs, empty input, and startOffset ID differentiation. * ⚡ feat: Emit Optimistic Skill Cards + Wire Primes in OpenAI/Responses Two follow-ups from testing. Optimistic card emit: the main chat path was only showing "Skill X loaded" cards at final-reconcile time, so the user saw nothing happen until the stream finished. Now emit synthetic ON_RUN_STEP + ON_RUN_STEP_COMPLETED events right before `runAgents` starts — same pattern the MCP OAuth flow uses in `ToolService` — so the cards appear immediately. The graph's content at index 0 may overwrite them during streaming, but the post-run `contentParts` prepend (unchanged) restores them on final reconcile. OpenAI + Responses parity: both controllers were resolving `manualSkillPrimes` via `initializeAgent` but never injecting them into `formattedMessages` before the run. Manual invocation silently did nothing on `/v1/chat/completions` and the Responses API path. Now both call `injectManualSkillPrimes` on the formatted messages so the model sees SKILL.md bodies on every path. LibreChat-style card SSE events don't apply to these OpenAI-shaped responses, so the live-emit is chat-path-only. - Export `buildSkillPrimeStepEvents(primes, { runId })` from `packages/api/src/agents/skills.ts`. Uses `Constants.USE_PRELIM_RESPONSE_MESSAGE_ID` by default so the frontend maps events to the in-flight preliminary response message, matching the OAuth emitter. - In `AgentClient.chatCompletion`, emit via `sendEvent` (or `GenerationJobManager.emitChunk` in resumable mode) after `injectManualSkillPrimes` runs, before the LLM turn begins. - Wire `injectManualSkillPrimes` into `openai.js` + `responses.js` after `formatAgentMessages`. Refactored the destructure to `let` on `indexTokenCountMap` so the injector's returned map is usable. - 8 new unit tests covering the step-event builder: pair cardinality, default/custom runId, TOOL_CALLS shape + JSON args, progress:1 on completion, index ordering, stepId/toolCallId pairing, empty input. * 🎯 fix: Route Skill Prime Events to the Real Response + Sparse-Array Offset Two bugs in the optimistic-card emit from the last pass. 1. Wrong runId. The events used `USE_PRELIM_RESPONSE_MESSAGE_ID` (the MCP OAuth pattern), but OAuth emits DURING tool loading — before the real response messageId exists. By the time skill priming fires, the graph is about to emit with `this.responseMessageId`, so the PRELIM runId orphaned every card onto the client's placeholder response entry in `messageMap`, separate from the one the LLM's events were building. Net effect: cards never rendered mid-stream. Now passing `this.responseMessageId` — the same ID `createRun` receives — so synthetic and real steps land on the same `messageMap` entry. 2. Index 0 collision. With the runId fixed, card-at-0 would have hit `updateContent`'s type-mismatch guard when the LLM's text delta arrived at the same index, suppressing the whole text stream. New `SKILL_PRIME_INDEX_OFFSET` = 100 placed on both the live SSE emit and the server-side `contentParts` assignment. Sparse array during streaming renders as `[llm_text, ..., card]` (skip-holes via `Array#filter` / `Array#map`). `filterMalformedContentParts` from `sendCompletion` compacts to dense `[text, card]` before persistence, so streaming UI and saved message agree on order — no finalize reorder jank. Post-run switches from `contentParts.unshift` to `contentParts[OFFSET + i] = part` to mirror the live placement. - Add `startIndex` option to `buildSkillPrimeStepEvents` with `SKILL_PRIME_INDEX_OFFSET` default. Export the constant from `@librechat/api` so `client.js` can reuse it for the post-run splice. - Update the existing index-ordering test to the new default and add a new test for the explicit `startIndex` override. * 🎗️ feat: Replace \$skill-name Text with Pills on the User Message The `$skill-name ` cosmetic text the popover was inserting into the textarea had two problems: it lingered in the user message forever (the card is a more meaningful marker), and it implied that free-form text invocation like \"\$foo help me\" should work — which it doesn't, and supporting it would mean another parsing layer nobody asked for. Dropped the textarea insertion. Visual confirmation after submit now comes from a compact `ManualSkillPills` row on the user bubble that self-extinguishes once the backend's live skill-card stream (`buildSkillPrimeStepEvents` from the last commit) populates the sibling assistant response. Multiple skills render as multiple pills — the atom was already a string array, so multi-select works for free. - `SkillsCommand.tsx`: select handler no longer writes to the textarea. Still drops the trigger `$` via `removeCharIfLast`, still pushes to `pendingManualSkillsByConvoId`, still flips `ephemeralAgent.skills`. - `families.ts`: new `attachedSkillsByMessageId` atomFamily keyed by user messageId. `useChatFunctions.ask` writes the drained skill list here on every fresh submit (regenerate/continue/edit still skip). - `ManualSkillPills.tsx` renders pills conditionally: hidden when the message isn't a user message, when no skills are attached, or when the sibling assistant response already carries a `skill` tool_call content part (the live card took over). Reads messages via React Query so we don't re-render on every message-state keystroke. - `Container.tsx` mounts the pills above the user message text, parallel to the existing `Files` slot. - Updated the SkillsCommand select-flow spec to assert the textarea is cleared of `$` instead of populated with `\$name `. 5 new tests for `ManualSkillPills` covering empty state, non-user message guard, multi-skill rendering, the skill-card hide condition, and the text-only-content-doesn't-hide case. * 🎛️ feat: Manual Skills as Persisted Message Field + Compose-Time Chips Three problems with the previous pass: 1. Cards rendered BELOW the LLM text on the assistant message (and stayed there on reload) because the sparse index-100 offset put them after the model's content. Now back to `unshift` — cards at the top, same as before the live-emit detour. 2. Pills on the user message disappeared the moment the live card arrived, so users barely saw them. The live-emit channel also added meaningful complexity and relied on a per-message Recoil atom that had no clean cleanup story. 3. No visual cue at all during new-chat compose — the `$name ` text was removed, the submitted-message pills weren't there yet, and the popover closes after selection. User had no way to see what they'd queued up before sending. New architecture: `manualSkills` is a first-class field on `TMessage`, persisted by the backend on the user message. `ManualSkillPills` reads straight from `message.manualSkills` — no atom, no sibling-lookup — so pills survive reload, show in history, and stay for the lifetime of the message. Compose-time chips above the textarea read the existing `pendingManualSkillsByConvoId` atom and let users × skills out before submitting. Backend reverts: - `client.js`: dropped the `ON_RUN_STEP` live-emit loop, restored `this.contentParts.unshift(...primeParts)` so cards sit at the top of the persisted assistant response. - `skills.ts`: removed `buildSkillPrimeStepEvents` and `SKILL_PRIME_INDEX_OFFSET` (both unused now). `GraphEvents`, `StepTypes`, and `Constants` imports went with them. Removed 8 tests. Field persistence: - `tMessageSchema` gains `manualSkills: z.array(z.string()).optional()`. - Mongoose message schema gains `manualSkills: { type: [String] }` with matching `IMessage` TS field. - `BaseClient.js` reads `req.body.manualSkills` on user-message save, filters to non-empty strings, pins onto `userMessage` before `saveMessageToDatabase`. Mirrors the existing `files` pattern right above it. Runtime resolution still reads top-level `req.body.manualSkills` — persistence and resolution are separate concerns. Frontend: - `useChatFunctions.ask` sets `currentMsg.manualSkills` directly; the drained atom value goes onto the message, not a separate atom. Removed the `attachSkillsToMessage` Recoil callback. - `ManualSkillPills`: pure render of `message.manualSkills`. No more `useQueryClient`, no sibling scan, no atom read. Loses the auto-hide-when-card-arrives behavior — pills stay on the user bubble, cards live on the assistant bubble, both are informative. - Dropped the `attachedSkillsByMessageId` atomFamily and its export. - New `PendingManualSkillsChips` above the textarea reads the compose-time atom and renders chips with × to remove. Mounted in `ChatForm` right after `TextareaHeader`. Naturally hides on submit when the atom drains. Tests: updated `ManualSkillPills` suite to the new field-based reads (5 passing). New `PendingManualSkillsChips` suite covering empty state, multi-chip render, single × removal, and full-clear (4 passing). Backend suite trimmed to 89 (was 97) from the step-events test removal — no regressions on the remaining helpers. * 🧪 feat: Assistant-Side Skill-Loading Chips + Pill Padding Two small UX fixes on top of the field-on-message architecture. Pill padding: bumped the user-side `ManualSkillPills` from `py-0.5` to `py-1` on each chip and added `py-0.5` to the wrapper so the row breathes a little without feeling tall. Mid-stream indicator: new `InvokingSkillsIndicator` mirrors the parent user message's `manualSkills` onto the assistant bubble as transient "Running X" chips while the real card is in flight. Renders above `ContentParts` in `MessageParts`. Hides itself when the assistant's own `content` grows a `skill` tool_call — the authoritative card from `buildSkillPrimeContentParts.unshift` is showing, so the placeholder steps aside. No SSE emit, no aggregator injection, no index collision with the LLM's streaming content: just a render slot keyed off the parent's field. Why not stream the cards live: whichever content index we'd choose either blocks the LLM's text stream (`updateContent` type-mismatch at index 0) or lands below the response after sparse compaction (index 100+). Mirroring the parent field sidesteps the aggregator entirely and gives the user an immediate "skill is loading" signal that naturally gives way to the real card at finalize. Covers the gap the user flagged: pills on the user message said "I asked for these" but nothing on the assistant side said "we're working on it" until the stream finished. 5 new tests for the indicator: user-msg guard, missing parent-field guard, multi-chip render, hides-on-card-landing, orphan-parent guard. * 🔁 fix: Indicator Visibility + Carry Manual Skills Through Regenerate/Edit Two bugs. Indicator never rendered: `InvokingSkillsIndicator` looked up the parent user message via `queryClient.getQueryData([QueryKeys.messages, convoId])`, but on a new chat the React Query cache is keyed by `"new"` (the URL `paramId`) until the server assigns a real conversation ID — while `message.conversationId` on the assistant message is already the server ID. Lookup missed, `skills.length === 0`, nothing rendered. Switched to `useChatContext().getMessages()`, which reads from the same `paramId` the rest of the UI uses, so new-chat and existing-chat cases both resolve to the correct message list. Regenerate / save-and-submit dropped manual skills: the compose-time `pendingManualSkillsByConvoId` atom is drained on the first submit, so replaying that turn later found an empty atom and sent `manualSkills: []`. The pills were still on the user bubble, so from the user's point of view the model was running primed — but the backend saw nothing and produced an unprimed response. - Added `overrideManualSkills?: string[]` to `TOptions`. Callers with a reference message pass its persisted `manualSkills`; `useChatFunctions.ask` uses the override verbatim when present, otherwise falls back to the existing drain-or-empty logic. - `regenerate` in `useChatFunctions` passes `parentMessage.manualSkills` — the user message being regenerated has the field persisted by the backend, so the second turn primes the same skills as the first. - `EditMessage.resubmitMessage` covers both edit branches: - User-message save-and-submit: forwards the edited message's own `manualSkills` so the new sibling turn primes identically. - Assistant-response edit: forwards the parent user message's `manualSkills` for the same reason. Indicator test suite converted from `@tanstack/react-query` harness to a jest-mocked `useChatContext().getMessages()`. 6 tests (was 5), added a cache-miss case. * 🧭 fix: Drive Mid-Stream Skill Chips from Submission Atom, Not Message Lookup Message-ID-keyed lookups kept racing the stream: the user message flips from its client-side intermediate UUID to the server-assigned ID mid-run, conversation IDs flip from the URL `paramId="new"` to the real convo ID on brand-new chats, and the React Query cache splits briefly between the two. Previous attempts — direct `queryClient.getQueryData` and then `useChatContext().getMessages()` — each missed a different window. `TSubmission.manualSkills` is already populated at `ask()` time and the submission atom (`store.submissionByIndex(index)`) is the single stable anchor across the whole lifecycle: set once at submit, lives through every SSE event, cleared when the stream ends. No ID lookups, no cache timing. - `InvokingSkillsIndicator` now reads `submissionByIndex(index)` via Recoil. Shows chips when: • the message is assistant-side, • a submission is in flight with non-empty `manualSkills`, • the assistant's `parentMessageId` matches `submission.userMessage.messageId` (so chips appear only on the bubble for the current turn, never on siblings), • the assistant's own content doesn't yet carry a `skill` tool_call (real card takes over from the server's post-run `contentParts.unshift`). - Drops the `useChatContext().getMessages()` dependency and the `useQueryClient` dependency before that. No more lookups by conversationId or messageId. Test suite now mocks `useChatContext` to supply `index: 0` and seeds the `submissionByIndex(0)` atom via Recoil initializer. 6 cases cover user-side, no-submission history, empty `manualSkills`, multi-chip render, hides-on-card-landing, and wrong-turn guard. * 🌱 fix: Seed Response manualSkills in createdHandler, Indicator Becomes Pure The mid-stream indicator kept getting wired off state I don't own: first `queryClient.getQueryData` (raced the new-chat paramId flip), then `useChatContext().getMessages()` (same cache, same race), then `useRecoilValue(submissionByIndex)` (pulled every message into the submission subscription — re-renders all indicators on any submission change, exactly the "limit hooks in rendering" concern). Cleanest path is the one the user pointed at: the submission owns the data, `useSSE` / `useEventHandlers` owns the save points, so seed the field ONTO the response message at the save site and let the indicator be a pure prop-read. - `createdHandler` now writes `manualSkills` onto the initial response from `submission.manualSkills` at the moment the placeholder enters the messages array. The field rides through the normal mutation pipeline via spreads (`useStepHandler` response creation, `updateContent` result returns) — no special handling needed. - `InvokingSkillsIndicator` drops the Recoil / context / queryClient reads. Pure function of `message`: if assistant, has `manualSkills`, and `content` hasn't grown a `skill` tool_call yet, render chips. Only `useLocalize` left, which was already unavoidable for the i18n string. - Renders decouple: no single state change (`submissionByIndex` flip, React Query cache update) forces every indicator in the message list to re-render anymore. Only the message whose prop changed re-runs. Finalize story unchanged: server's `responseMessage` doesn't carry the frontend-only `manualSkills` field, so `finalHandler`'s replacement drops it — but by then the real `skill` tool_call is in `content` and the indicator's content-scan hides itself anyway. Test suite back to pure prop mocks: 7 cases covering user-guard, no-seed, multi-chip render, skill-card-hide, non-skill-tool-call-keeps, text-only-keeps, and missing message. * 🪞 fix: Render Skill Indicator Inside ContentParts, Adjacent to Parts The indicator still wasn't showing because even though MessageParts mounted it as a sibling of ContentParts, ContentParts is a `memo`'d component that owns the only rendering path that refreshes in lockstep with content deltas. Mounting above it put the indicator one layer further out — reachable, but not exercised on the same render cycle that processes the streaming `message` prop. Moved the indicator into ContentParts itself, rendered at the top of both the sequential and parallel branches. Reads the `message` prop (newly threaded through as an optional prop alongside `content`), so: - Same render cycle as Parts — updates from the SSE pipeline flow through the same pathway. - Lives outside the `content.map`, so delta-driven content reshuffles never wipe it. - Still a pure prop-read inside the indicator itself (no Recoil, queryClient, context hooks). The only dep is `useLocalize`. Thread: - `ContentPartsProps` gains `message?: TMessage`. - `MessageParts` passes `message={message}` through, drops its own indicator mount + import. - `ContentParts` renders `<InvokingSkillsIndicator message={message} />` in both the parallel-content and sequential-content branches, right under `MemoryArtifacts` and before the empty-cursor / parts map. Companion data flow (unchanged): `createdHandler` seeds `initialResponse.manualSkills` from `submission.manualSkills`; the field rides through `useStepHandler` via spreads; indicator hides on `skill` tool_call landing in `content`. * 🔎 refactor: Narrow Skill Components to Scalar skills Prop, Kill Memo Churn Passing the full `message` object into presentational components busts `React.memo` shallow comparisons every time the message reference changes for unrelated reasons. Swap to scalar `skills?: string[]` throughout: - `InvokingSkillsIndicator`: props-only (`skills?: string[]`); visibility logic (user-vs-assistant, skill tool_call arrival) now lives in the caller so this stays pure presentational. - `ManualSkillPills`: props-only (`skills?: string[]`). - `ContentParts`: takes `manualSkills?: string[]` scalar, computes `showInvokingSkills` once per render from `manualSkills` + content scan for the `skill` tool_call, then mounts the indicator with `skills=` prop in both parallel and sequential branches. - `MessageParts`: passes `manualSkills={message.manualSkills}` through to `ContentParts`. - `Container`: passes `skills={message.manualSkills}` to `ManualSkillPills`. - Tests updated to exercise the narrowed prop surface. * 📜 feat: Mid-Stream Skill Cards via SkillCall, Drop Custom Indicator Instead of a separate `InvokingSkillsIndicator` chip component, render pending skill placeholders through the existing `SkillCall` renderer — same component the backend's finalized prime part uses. The loading visual (`progress < 1` + empty output → pulsing "Running X") and the completed visual ("Ran X") now come from one source of truth. `ContentParts` computes `pendingSkillNames` from `manualSkills` minus any `skill` tool_call already in `content` (dedupe by `args.skillName` since the synthetic's id differs from the real one). Those names render through a separate slot ABOVE the Parts iteration — not prepended to the content array, which would shift React keys on every downstream streaming text / tool part and force unmount/remount mid-stream. When the real prime `tool_call` lands at finalize (backend unshifts to content[0..]), `collectExistingSkillNames` picks it up, the pending set empties, and the real part takes over rendering in the Parts iteration. Layout is identical either way because primes are always at the top of content. - `InvokingSkillsIndicator.tsx` + test deleted (no longer referenced) - `ContentParts.tsx` renders `<SkillCall .../>` directly for pending names, mirrors `Part.tsx`'s usage of the same component - `createdHandler` doc comment updated to reflect the new flow * ✂️ fix: Render Interim Skill Cards From manualSkills Only, Leave Content Untouched Previous revision read `content` to de-dupe pending cards against real `skill` tool_calls, so any optimistic skill part streamed from the backend would race our placeholder off the screen mid-turn — exactly the "getting overridden" symptom. Now: interim `SkillCall` cards are driven purely by the response message's `manualSkills` field. `content` is never inspected here, so no backend delta can pull the cards down. The field is now seeded directly onto the assistant placeholder in `useChatFunctions` (not only in `createdHandler`) so the cards appear from the first render, before the `created` SSE event round-trip. Lifecycle: - `useChatFunctions` puts `manualSkills` on the freshly-minted `initialResponse` — cards render the instant the placeholder lands. - `createdHandler` keeps its own re-seed (idempotent; safe) so a regenerate / save-and-submit flow that hits that path still works. - `useStepHandler` spread operations preserve the field through every content update. - `finalHandler` replaces the message with the server-backed `responseMessage` (no `manualSkills`) — cards disappear, and the real `skill` tool_call part in `content` takes over. ContentParts changes: - Drop `collectExistingSkillNames` / `parseJsonField` dedupe path. - `renderPendingSkills` reads only `manualSkills` + `isCreatedByUser`. - Simpler control flow — one boolean (`hasPendingSkills`) gates the early return, one function renders. * 🩹 fix: Codex Review Resolutions — Localization, Guards, Tests, Docs Addresses seven findings from comprehensive code review: Finding 1 (MAJOR) — Document sticky re-priming as intentional - `buildSkillPrimeContentParts`: expanded doc comment explaining synthetic `skill` tool_calls persist and get re-primed on every subsequent turn via `extractInvokedSkillsFromPayload` (shape parity with model-invoked skills). This matches the UX: the assistant skill card is a visible, persistent signal that the skill is active for the conversation. Not a bug — called out explicitly so future maintainers don't mistake it for one. Finding 2 (MAJOR) — Add ContentParts render tests - New `ContentParts.test.tsx` with 7 cases covering the interim skill card logic: assistant-only rendering, user-message suppression, undefined-content safety, parallel+sequential branch integration, progress<1 (pending) state. Child components mocked so the test exercises only the branching and prop wiring ContentParts owns. Finding 3 (MINOR) — Localize hardcoded aria-labels - Added `com_ui_skills_manual_invoked` + `com_ui_skills_queued` keys. - Reused existing `com_ui_remove_skill_var` for the remove-button aria-label. - `PendingManualSkillsChips` and `ManualSkillPills` now call `useLocalize()`. Test mocks updated to the label-echo pattern. Finding 4 (MINOR) — Max-length guard in `extractManualSkills` - New `MAX_SKILL_NAME_LENGTH = 200` constant and filter. Blocks a crafted payload like `{ manualSkills: ['a'.repeat(100000)] }` from reaching `getSkillByName` / Mongo's query planner. Finding 5 (NIT) — `BaseClient.js` comment contradicted itself - Rewrote to call the filter what it is: defense-in-depth on top of Mongoose schema validation, not a redundant second layer. Finding 6 (NIT) — `ManualSkillPills` now wrapped in `React.memo` - Consistent with peer components (`PendingManualSkillsChips`, `ContentParts`). Rendered inside `Container`, which re-renders on every content update, so the memo is a real cycle savings. Finding 7 (NIT) — Redundant guard in `ContentParts.renderPendingSkills` - Collapsed the duplicate null-check by computing `pendingSkills` as a `useMemo`'d array (`[]` when not applicable), and mapping directly. `hasPendingSkills` now derives from the array length — one source of truth, no redundant gate inside the render function. * 🔧 fix: Update ParallelContent to Handle Optional Content Prop Modified the `ParallelContentRendererProps` to make the `content` prop optional, ensuring safer access within the component. Adjusted the calculation of `lastContentIdx` to handle cases where `content` may be undefined, preventing potential runtime errors. This change enhances the robustness of the component when dealing with varying message structures. * 🎯 fix: Thread manualSkills Through ContentRender — The Real Renderer This is why the interim skill cards never appeared across many rounds of iteration: `ContentRender.tsx` (the memo'd renderer used by most paths, including the agents endpoint) was calling `ContentParts` without the `manualSkills` prop. Only `MessageParts.tsx` had it wired up — and that's not the component that actually renders the assistant response in production. Two fixes: 1. Pass `manualSkills={msg.manualSkills}` to the `ContentParts` call. 2. Extend the `areContentRenderPropsEqual` memo comparator to include `manualSkills.length`, otherwise a message update that adds the field (seeded by `useChatFunctions` on the initialResponse) would be bailed out by the memo and never re-render. Verified the two ContentParts call sites are now consistent; Container usages for `ManualSkillPills` on the user side were already correct. * 🧹 polish: Address Audit Follow-Up (F1/F3/F6) F1 — Clarify sticky re-priming opt-out path. The previous comment said "regenerate without the pick" as one opt-out, but `useChatFunctions.regenerate` forwards the original picks via `overrideManualSkills`, so regeneration alone keeps the skill sticky. Updated to: edit the originating message to remove the pills and resubmit, or start a new conversation. F3 — Add DOM-order assertions to the parallel + sequential tests. The two "alongside" tests verified both elements existed but didn't pin the ordering contract. Both now use `compareDocumentPosition` to assert the pending SkillCall precedes the real content, matching the backend semantic (`contentParts.unshift(...primeParts)` puts primes at the top). F6 — Fix package import order in PendingManualSkillsChips. `recoil` (58 chars) was listed before `lucide-react` (45 chars) which violates the "shortest to longest after react" rule in AGENTS.md. Swapped order; no behavior change. F2 / F4 / F5 from the audit were confirmed as non-issues (React-safe empty map, cosmetic test-mock artifact, accepted memo tradeoff) and require no change. * ✨ feat: Dedicated PendingSkillCall + Running→Ran Transition on Real Content UX polish on the interim skill card now that it's actually rendering: 1. New `PendingSkillCall` component (mirrors `SkillCall` visually but drops the expand affordance). `SkillCall`'s underlying `ProgressText` always renders a chevron + clickable button when any input is present, which on a card with empty output points at nothing — misleading cursor:pointer and a no-op toggle. The pending variant has only the icon + label, no button wrapper, no chevron. 2. "Running X" → "Ran X" transition when real content lands. `ContentParts` computes `hasRealContent` (any non-text part, or a text part with non-empty content — placeholder empty-text parts don't count) and passes `loaded={hasRealContent}` to `PendingSkillCall`. Matches what users see for model-invoked skills as they finish priming: pulsing shimmer → static icon. 3. Cleanup: - Dropped direct `SkillCall` import from `ContentParts` (replaced by `PendingSkillCall`). `SkillCall` is still used by `Part` for real `skill` tool_call content parts — no behavior change there. - Removed the now-redundant explicit `manualSkills` assignment in `createdHandler`. `useChatFunctions` seeds the field on `initialResponse` at construction, so the `...submission.initialResponse` spread already carries it through — the re-assignment was defensive belt-and-suspenders doing the same work twice. Comment rewritten to describe the actual lifecycle. Tests updated to the new component (12/12 pass): two new cases pin the loaded-state transition (unloaded when content has no real parts, flips to loaded once a non-empty text part lands). |
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🎚️ feat: Per-User Skill Active/Inactive Toggle with Ownership-Aware Defaults (#12692)
* feat: per-user skill active/inactive toggle with ownership-aware defaults - Add `skillStates` map (Record<string, boolean>) to user schema for per-user active/inactive overrides on skills - Add `defaultActiveOnShare` to interface.skills config (default: false) so admins can control whether shared skills auto-activate - Add GET/POST /api/user/settings/skills/active endpoints with validation - Add React Query hooks with optimistic mutations for skill states - Add useSkillActiveState hook with ownership-aware resolution: owned skills default active, shared skills default inactive - Add toggle switch UI to SkillListItem and SkillDetail components - Filter inactive skills in injectSkillCatalog before agent injection - Add localization keys for active/inactive labels * fix: use Record instead of Map for IUser.skillStates Mongoose .lean() flattens Map to a plain object, causing type incompatibility with IUser in methods that return lean documents. * fix: address review findings for skill active states - Fail-closed when userId is absent: filter rejects all shared skills instead of passing them through unfiltered (Codex P1) - Validate Mongoose Map key characters (reject . and $) in controller to return 400 instead of a 500 from schema validation (Codex P2) - Block toggle while initial skill states query is loading to prevent overwriting server-side overrides with an empty snapshot (Codex P2) - Extract shared SkillToggle component, eliminating duplicate toggle markup in SkillListItem and SkillDetail (Finding #3) - Move skill state query/mutation hooks from Favorites.ts to Skills/queries.ts per feature-directory convention (Finding #4) - Fix hardcoded English aria-label in SkillListItem by passing the localized string from the parent SkillList (Finding #5) - Fix inline arrow in SkillList render loop: pass stable callback reference so SkillListItem memo() is not invalidated (Finding #1) - Extract toRecord() helper in controller to DRY the Map-to-Object conversion (Finding #6) - Remove Promise.resolve wrapping synchronous config read (Finding #8) - Remove unused TUpdateSkillStatesRequest type (Finding #12) * fix: forward tabIndex on SkillToggle to preserve list keyboard nav The original inline toggle had tabIndex={-1} so the row itself remained the sole tab target. The extraction into SkillToggle dropped this prop, making every list toggle a tab stop. Add an optional tabIndex prop and pass -1 from SkillListItem. * fix: plumb skillStates to all agent entry points, isolate toggle keydown - Add skillStates/defaultActiveOnShare loading to openai.js and responses.js controllers so shared-skill activation is respected across all agent entry points, not just initialize.js (Codex P1) - Stop keydown propagation on SkillToggle so Enter/Space does not bubble to the parent row's navigation handler (Codex P2) * fix: paginate catalog fetch and serialize toggle writes - Paginate listSkillsByAccess (up to 10 pages of 100) until the active catalog quota is filled, so inactive shared skills in recent positions do not starve active owned skills past the first page (Codex P1) - Extend listSkillsByAccess interface with cursor/has_more/after for catalog pagination - Serialize skill-state writes via a ref queue: one in-flight request at a time, with the latest desired state sent when the previous one settles. Prevents last-response-wins races where an older request overwrites newer toggles (Codex P2) * fix: share write queue across hook instances, block toggle on fetch error - Move the write queue from a per-instance useRef to a module-scoped object so every mount of useSkillActiveState (SkillList, SkillDetail, etc.) serializes against the same in-flight slot. Prior per-instance queues allowed two components to race full-map POSTs (Codex P1) - Extend the toggle guard beyond isLoading: also block when isError is true or data is undefined. Prevents a failed GET from seeding a toggle with an empty baseline that would wipe server-side overrides on the next successful POST (Codex P1) * fix: stale closure, orphan cleanup, and cap-error UX - Read toggle baseline from React Query cache via queryClient.getQueryData instead of the captured skillStates closure. The closure can be stale between onMutate's setQueryData and the next render, so rapid successive toggles would build on old state and drop earlier changes (Codex P1) - Surface the MAX_SKILL_STATES_EXCEEDED error code with a specific toast key (com_ui_skill_states_limit) so users understand the 200-cap rather than seeing a generic error - Prune orphaned entries (skillIds whose Skill doc no longer exists) on both GET and POST in SkillStatesController. Self-heals over time without needing cascade-delete hooks or a migration job. Uses one indexed Skill._id query per request * test: pin skill active-state precedence with unit tests Extract the active-state resolution logic from a closure inside injectSkillCatalog into an exported resolveSkillActive helper, then cover every branch of the precedence matrix: - Fails closed when userId is absent (even with defaultActiveOnShare=true) - Explicit override wins over ownership and config (both true and false) - Owned skills default to active when no override is set - Shared skills default to defaultActiveOnShare value - Undefined skillStates behaves identically to an empty object - defaultActiveOnShare defaults to false when omitted - Owned skills ignore defaultActiveOnShare entirely Closes Finding #2 from the pre-rebase comprehensive review. Mirrors the existing scopeSkillIds test style; injectSkillCatalog now calls resolveSkillActive instead of inlining the closure. * refactor: limit skill active toggle to detail header, drop label - Remove the per-row toggle from SkillListItem and the active-state plumbing (hook call, isSkillEnabled/onToggleEnabled/toggleAriaLabel props) from SkillList. The detail view is now the single place to change a skill's active state - Drop dim/muted styling for inactive skills in the sidebar: without a control there, the visual indication has nowhere to land - Resize SkillToggle to match neighbor buttons: outer h-9 container, h-6 w-11 track with size-5 knob, no label span. The 'Active' / 'Inactive' text that accompanied the detail-view toggle is removed - Remove the now-unused label prop and tabIndex prop (the tabIndex existed only for the list-row context) from SkillToggle. Drop the onKeyDown stopPropagation for the same reason - Remove now-orphaned com_ui_skill_active / com_ui_skill_inactive translation keys * style: shrink SkillToggle track to h-5 w-9 with size-4 knob Container stays at h-9 to match neighbor button heights. The toggle track itself drops from h-6 w-11 to h-5 w-9, with a size-4 knob travelling 1.125rem on activation. Visually lighter inside the row. * fix: remove redundant skillStates entries that match the resolved default When a toggle lands on the ownership/config default, delete the key from the map instead of persisting `{id: defaultValue}`. Without this, a user toggling a skill off and back on would leave `{id: true}` for an owned skill (whose default is already true), silently consuming a slot against the 200-entry cap. Repeated round-trip toggles could exhaust the quota with zero meaningful overrides (Codex P2). Preserves the exceptions-list invariant that the runtime-resolution design depends on. * fix: prune before enforcing skill-state cap; reject non-ObjectId keys Reorder the update controller so pruneOrphans runs before the 200-cap check. Without this, a user near the cap with some orphaned entries (skills deleted since their last GET) could send a payload that would pass after pruning but gets rejected by the raw-size check first. Add a sanity cap on raw payload size (2 * MAX_SKILL_STATES) so abusive inputs do not reach the DB query, and enforce the real cap on the pruned result instead. Harden pruneOrphans: the earlier early-return path could pass non-ObjectId keys through unchanged. Now only valid ObjectIds are returned, and the Skill-model-unavailable fallback filters by format. Also add isValidObjectIdString validation at the input boundary so malformed (but otherwise non-Mongo-unsafe) keys never reach persistence (Codex P2 x2). * fix: enforce active filter at execute time, prune revoked shares, scope queue per user P1: injectSkillCatalog now returns activeSkillIds (the filtered set that appears in the catalog). initializeAgent uses that set as the stored accessibleSkillIds on the initialized agent, so getSkillByName at runtime cannot resolve a deactivated skill — even if the LLM hallucinates a name or the user invokes by direct-invocation shorthand. Previously the executor authorized against the full ACL set, bypassing the active-state guarantee (Codex P1). P2: pruneOrphans now checks user access via findAccessibleResources in addition to skill existence. When a share is revoked, the user's skillStates entry for that skill had no cleanup path and silently consumed the 200-cap. Self-heals on both GET and POST. One extra ACL query per settings read/write; scoped to a single user so no N-user amplification (Codex P2). P2: the write queue moves from a single module-scoped object to a Map keyed by userId. Logout/login in the same tab can no longer flush the previous user's pending snapshot under the new session's auth. Each userId gets its own pending/inFlight slot; the in-flight request retains its original auth via the cookie already attached when sent, so the race window closes (Codex P2). * refactor: extract skillStates helpers to packages/api; add tests; polish Address the remaining valid findings from the comprehensive review: - Extract toRecord, loadSkillStates, validateSkillStatesPayload, and pruneOrphanSkillStates into packages/api/src/skills/skillStates.ts as TypeScript. The controller in /api shrinks to a ~90-line thin wrapper that builds live dependency adapters for Mongoose + the permission service (Review #2 DRY, #3 workspace boundary) - Replace the triplicated 12-line skillStates loading block in initialize.js, openai.js, and responses.js with a single call to loadSkillStates from @librechat/api. One helper, three sites - Swap console.error for the project logger in the controller (Review #7) - Remove the redundant INVALID_KEY_PATTERN regex: a valid ObjectId cannot contain . or $, so isValidObjectIdString already covers it (Review #11) - Parameterize the 200-cap error toast with {{0}} interpolation driven by the error response's `limit` field, so future changes to MAX_SKILL_STATES update the UI message automatically (Review #12) - Add 24 unit tests for the new skillStates helpers (toRecord, resolveDefaultActiveOnShare, loadSkillStates, validateSkillStates- Payload, pruneOrphanSkillStates) covering success paths, malformed input, cap boundaries, and parallel-query behavior (Review #4) - Add 10 tests for injectSkillCatalog pagination covering empty accessible set, missing listSkillsByAccess, single-page filter, owned-vs-shared defaults, explicit-override precedence, multi-page collection, MAX_CATALOG_PAGES safety cap, early termination on has_more=false, additional_instructions injection, and fail-closed without userId (Review #5) Total test count: 60 (was 26 on this surface). * fix: rename skillStates ValidationError to avoid barrel-export collision packages/api/src/types/error.ts already exports a ValidationError (MongooseError extension). Re-exporting a different shape from skills/skillStates.ts through the skills barrel caused TS2308 in CI because the root index re-exports both. Rename to SkillStatesValidationError to keep the exports disjoint. * refactor: tighten tests and absorb caller guard into loadSkillStates Address the followup review findings: - Add optional `accessibleSkillIds` param to loadSkillStates so the helper short-circuits to defaults when no skills are accessible. All three controllers drop the residual 7-line conditional wrapper in favor of a single destructured call (Review #2) - Remove the unreachable `typeof key !== 'string'` check from validateSkillStatesPayload: Object.entries always yields string keys per the JS spec (Review #3) - Replace the two `as unknown as` agent casts in the injectSkillCatalog tests with a `makeAgent()` factory typed directly as the function's parameter shape (Review #4) - Tighten the MAX_CATALOG_PAGES assertion from `toBeLessThanOrEqual(11)` to `toHaveBeenCalledTimes(10)` — the loop deterministically makes exactly 10 page fetches before hitting the cap (Review #1) - Rewrite the parallel-execution test for pruneOrphanSkillStates using deferred promises instead of microtask-order assertions. The test now inspects `toHaveBeenCalledTimes(1)` on both mocks after a single Promise.resolve() yield, pinning Promise.all usage without relying on push-order into a shared array (Review #5) - Evict stale writeQueue entries on user change via a module-scoped `lastSeenUserId` sentinel. When a different user's toggle is the first one after a logout/login, the previous user's queue entry is deleted. Keeps the Map bounded without adding hook-instance effect cleanup (Review #6) * fix(test): mock loadSkillStates in openai and responses controller specs The prior refactor replaced the inline 12-line skillStates loading block with a call to loadSkillStates from @librechat/api. Both controller spec files mock @librechat/api as a flat object, so any new named import from that package is undefined in the test env. Calling `await loadSkillStates(...)` threw before recordCollectedUsage ran, surfacing as "undefined is not iterable" on the test's array destructure of `mockRecordCollectedUsage.mock.calls[0]`. Add the missing mock to both spec files alongside the existing scopeSkillIds stub. * fix: abandon stale skillStates write queues on user switch Close the cross-session leak window where an in-flight flush loop still holds a reference to a previous user's queue: it could fire its next mutateAsync under the new session's auth cookies and persist the stale snapshot to the new user's document (Codex P1). Add an `abandoned` flag on `WriteQueue`. Three mechanisms cooperate: - `getWriteQueue` marks every non-active queue abandoned when the user differs from the last-seen identity (pre-existing eviction site, now more aggressive). - A `useEffect` on `userId` calls the same abandonment pass on every render with a new active identity, covering the window between logout/login and the new user's first toggle (when `getWriteQueue` would otherwise not fire). - The flush loop checks `!queue.abandoned` in its while condition so the second and later iterations exit without firing another `mutateAsync` after the session changes. The first iteration's in-flight request (already dispatched under the original user's cookies) still runs to completion or failure on its own — only the subsequent iterations, which are the dangerous ones, are blocked. |
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3e064c2f2b |
🎯 feat: Per-Agent Skill Selection in Builder and Runtime Scoping (#12689)
* feat: per-agent skill selection in builder and runtime scoping
Wire skills persistence on the Agent model and enable the skills
section in the agents builder panel. At runtime, scope the skill
catalog to only the skills configured on each agent (intersected
with user ACL). When no skills are configured, the full user catalog
is used as the default. The ephemeral chat toggle overrides per-agent
scoping to provide the full catalog.
* fix: add scopeSkillIds to @librechat/api mock in responses unit test
The test mocks @librechat/api but was missing the newly imported
scopeSkillIds, causing createResponse to throw before reaching the
assertions. Added a passthrough mock that returns the input array.
* fix: scope primeInvokedSkills by agent's configured skills
primeInvokedSkills was receiving the full unscoped accessibleSkillIds,
bypassing the per-agent skill scoping applied to initializeAgent. This
allowed previously invoked skills from message history to be resolved
and primed even when excluded from the agent's configured skill set.
Apply the same scopeSkillIds filtering to match the initializeAgent
calls, so skill resolution is consistent across catalog injection
and history priming.
* fix: preserve agent skills through form reset and union prime scope
Two related bugs in the per-agent skill selection flow:
1. resetAgentForm dropped the persisted skills array because the generic
fall-through at the end of the loop excludes object/array values.
Combined with composeAgentUpdatePayload always emitting skills, this
caused any save of a previously-configured agent to silently overwrite
skills with an empty array. Add an explicit case for skills mirroring
the agent_ids handling.
2. primeInvokedSkills processes the full conversation payload, including
prior handoff-agent invocations. Scoping it to only primaryAgent.skills
meant a skill invoked by a handoff agent in a prior turn could not be
resolved when the current primary agent had a different scope, leaving
message history reconstruction incomplete. Union the per-agent scoped
accessibleSkillIds across primary plus all loaded handoff agents so
any skill any active agent could invoke is resolvable from history.
* fix: mark inline skill removals as dirty
The inline X button on the skills list called setValue without
shouldDirty: true, so removing a skill via this control did not
mark the skills field as dirty in react-hook-form state. When a
user removed a skill with the X button and also staged an avatar
upload in the same save, isAvatarUploadOnlyDirty returned true and
onSubmit short-circuited to avatar-only upload, silently dropping
the PATCH that would persist the skill removal.
The dialog path (SkillSelectDialog) already passes shouldDirty: true
on add/remove; this aligns the inline control with that behavior.
* fix: restore full ACL scope for primeInvokedSkills history reconstruction
Reverting the earlier scoping of primeInvokedSkills to the active-agent
union. That change conflated runtime invocation scoping (which correctly
gates what the model can call now) with history reconstruction (which
restores bodies the model already saw in prior turns).
Per-agent scoping still applies at:
- Catalog injection (injectSkillCatalog via initializeAgent)
- Runtime invocation (handleSkillToolCall via enrichWithSkillConfigurable,
using each agent's scoped accessibleSkillIds in agentToolContexts)
History priming is a read of past context, not a grant of new capability.
Scoping it causes historical skill bodies to vanish from formatAgentMessages
when an agent's skills list is edited mid-conversation or when the ephemeral
toggle flips, which breaks message reconstruction and drops code-env file
continuity for /mnt/data/{skillName}/ references. The user's ACL-accessible
set is the correct and sufficient gate for history reconstruction.
* fix: close openai.js skill gap and pin undefined vs [] semantics
Three related gaps surfaced in review:
1. api/server/controllers/agents/openai.js was a third skill resolution
site alongside responses.js and initialize.js, but still used the old
activation gate (required ephemeralAgent.skills === true) and never
passed accessibleSkillIds through scopeSkillIds. Per-agent scoping
silently did not apply on this route. Mirror the same pattern used
in responses.js so all three routes behave identically.
2. scopeSkillIds previously collapsed undefined and [] into the same
"full catalog" fallback, making it impossible for a user to express
"this agent has no skills." Tighten the semantics before any data
is written under the old behavior:
- undefined / null = not configured, full catalog
- [] = explicitly none, returns []
- non-empty = intersection with ACL-accessible set
Update defaultAgentFormValues.skills from [] to undefined so a brand
new agent whose skills UI was never touched does not accidentally
persist "explicit none" on first save (removeNullishValues strips
undefined from the payload server side).
3. Add direct unit tests for scopeSkillIds covering all five cases
(undefined, null, empty, disjoint, overlap, exact match, empty
accessible set). 16 tests total in skills.test.ts pass.
* fix: add scopeSkillIds to @librechat/api mock in openai unit test
Same pattern as the earlier responses.unit.spec.js fix: the test mocks
@librechat/api with an explicit object, so each newly imported symbol
must be added to the mock. Without scopeSkillIds, OpenAIChatCompletion
controller throws on destructuring before reaching recordCollectedUsage,
causing the token usage assertions to fail.
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64ec5f18b8 |
⚙️ feat: Skill runtime integration: catalog, tools, execution, file priming (#12649)
* feat: Skill runtime integration — catalog injection, tool registration, execute handler
Wires the @librechat/agents SkillTool primitive into LibreChat's agent runtime:
**Enums:**
- Add `skills` to AgentCapabilities + defaultAgentCapabilities
**Data layer:**
- Add `getSkillByName(name, accessibleIds)` — compound query that
combines name lookup + ACL check in one findOne
**Agent initialization (packages/api/src/agents/initialize.ts):**
- Accept `accessibleSkillIds` param and `listSkillsByAccess` db method
- Query accessible skills, format catalog via `formatSkillCatalog()`,
append to `additional_instructions` (appears in agent system prompt)
- Register `SkillToolDefinition` + `createSkillTool()` when catalog
is non-empty (tool appears in model's tool list)
- Store `accessibleSkillIds` and `skillCount` on InitializedAgent
**Execute handler (packages/api/src/agents/handlers.ts):**
- Add `getSkillByName` to `ToolExecuteOptions`
- `handleSkillToolCall()` intercepts `Constants.SKILL_TOOL`:
extracts skillName, loads body from DB with ACL check,
substitutes $ARGUMENTS, returns ToolExecuteResult with
injectedMessages (skill body as isMeta user message)
**Caller wiring:**
- initialize.js: query skill IDs via findAccessibleResources,
pass to initializeAgent + store on agentToolContexts,
add getSkillByName to toolExecuteOptions,
pass accessibleSkillIds through loadTools configurable
- openai.js + responses.js: same pattern for their flows
Requires @librechat/agents >= 3.1.65 (PR #91 exports).
* feat: Skills toggle in tools menu + backend capability gating
Frontend:
- Add skills?: boolean to TEphemeralAgent type
- Add LAST_SKILLS_TOGGLE_ to LocalStorageKeys for persistence
- Add skillsEnabled to useAgentCapabilities hook
- Add skills useToolToggle to BadgeRowContext with localStorage init
- New Skills.tsx badge component (Scroll icon, cyan theme,
permission-gated via PermissionTypes.SKILLS)
- Add skills entry to ToolsDropdown with toggle + pin
- Render Skills badge in BadgeRow ephemeral section
Backend:
- Extract injectSkillCatalog() into packages/api/src/agents/skills.ts
(reduces initializeAgent module size, reusable helper)
- initializeAgent delegates to helper instead of inline block
- Capability-gate the findAccessibleResources query:
- Agents endpoint: checks AgentCapabilities.skills in admin config
- OpenAI/Responses controllers: checks ephemeralAgent.skills toggle
- ACL query runs once per run, result shared across all agents
* refactor: remove createSkillTool() instance from injectSkillCatalog
SkillTool is event-driven only. The tool definition in toolDefinitions
is sufficient for the LLM to see the tool schema. No tool instance is
needed since the host handler intercepts via ON_TOOL_EXECUTE before
tool.invoke() is ever called.
Removes tools from InjectSkillCatalogParams/Result, drops the
createSkillTool import.
* feat: skill file priming, bash tool, and invoked skills state
Multi-file skill support:
- New primeSkillFiles() helper (packages/api/src/agents/skillFiles.ts)
uploads skill files + SKILL.md body to code execution environment
- handleSkillToolCall primes files on invocation when skill.fileCount > 0,
returns session info as artifact so ToolNode stores the session
- Skill-primed files available to subsequent bash/code tool calls
Bash tool auto-registration:
- BashExecutionToolDefinition added alongside SkillToolDefinition when
skills are enabled, giving the model a bash tool for running scripts
Conversation state:
- Add invokedSkillIds field to conversation schema (Mongoose + Zod)
- handleSkillToolCall updates conversation with $addToSet on success
- Enables re-priming skill files on subsequent runs (future)
Dependency wiring:
- Pass listSkillFiles, getStrategyFunctions, uploadCodeEnvFile,
updateConversation through ToolExecuteOptions
- Pass req and codeApiKey through mergedConfigurable
- All three controller entry points wired (initialize.js, openai.js,
responses.js)
* fix: load bash_tool instance in loadToolsForExecution, remove file listing
- Add createBashExecutionTool to loadToolsForExecution alongside PTC/ToolSearch
pattern: loads CODE_API_KEY, creates bash tool instance on demand
- Add BASH_TOOL and SKILL_TOOL to specialToolNames set so they don't go
through the generic loadTools path (bash is created here, skill is
intercepted in handler before tool.invoke)
- Remove file name listing from skill content text — it's the skill
author's responsibility to disclose files in SKILL.md, not the framework
* feat: batch upload for skill files, replace sequential uploads
- Add batchUploadCodeEnvFiles() to crud.js: single POST to /upload/batch
with all files in one multipart request, returns shared session_id
- Rewrite primeSkillFiles to collect all streams (SKILL.md + bundled files)
then do one batch upload instead of N sequential uploads
- Replace uploadCodeEnvFile with batchUploadCodeEnvFiles across all callers
(handlers.ts, initialize.js, openai.js, responses.js)
* refactor: remove invokedSkillIds from conversation schema
Skills aren't re-loaded between runs, so conversation-level state for
invoked skills doesn't help. Skill state will live on messages instead
(like tool_search discoveredTools and summaries), enabling in-place
re-injection on follow-up runs.
Removes invokedSkillIds from: convo Mongoose schema, IConversation
interface, Zod schema, ToolExecuteOptions.updateConversation, and
all three caller wiring points.
* feat: smart skill file re-priming with session freshness checking
Schema:
- Add codeEnvIdentifier field to ISkillFile (type + Mongoose schema)
- Add updateSkillFileCodeEnvIds batch method (uses tenantSafeBulkWrite)
- Export checkIfActive from Code/process.js
Extraction:
- Add extractInvokedSkillsFromHistory() to run.ts — scans message
history for AIMessage tool_calls where name === 'skill', extracts
skillName args. Follows same pattern as extractDiscoveredToolsFromHistory.
Smart re-priming in primeSkillFiles:
- Before batch uploading, checks if existing codeEnvIdentifiers are
still active via getSessionInfo + checkIfActive (23h threshold)
- If session is still active, returns cached references (zero uploads)
- If stale or missing, batch-uploads everything and persists new
identifiers on SkillFile documents (fire-and-forget)
- Single session check covers all files (batch shares one session_id)
Wiring:
- Pass getSessionInfo, checkIfActive, updateSkillFileCodeEnvIds
through ToolExecuteOptions and all three controller entry points
* feat: wire skill file re-priming at run start via initialSessions
Flow:
1. initialize.js creates primeInvokedSkills callback with all deps
2. client.js calls it with message history before createRun
3. extractInvokedSkillsFromHistory scans for skill tool calls
4. For each invoked skill with files, primeSkillFiles uploads/checks
5. Returns initialSessions map passed to createRun
6. createRun passes initialSessions to Run.create (via RunConfig)
7. Run constructor seeds Graph.sessions, making skill files available
to subsequent bash/code tool calls via ToolNode session injection
Requires @librechat/agents with initialSessions on RunConfig (PR #94).
* refactor: use CODE_EXECUTION_TOOLS set for code tool checks
Import CODE_EXECUTION_TOOLS from @librechat/agents and replace inline
constant checks in handlers.ts and callbacks.js. Fixes missing bash
tool coverage in the session context injection (handlers.ts) and code
output processing (callbacks.js).
* refactor: move primeInvokedSkills to packages/api, add skill body re-injection
Moves primeInvokedSkills from an inline closure in initialize.js (with
dynamic requires) to a proper exported function in packages/api
skillFiles.ts with explicit typed dependencies.
Key changes:
- primeInvokedSkills now returns both initialSessions (for file priming)
AND injectedMessages (skill bodies for context continuity)
- createRun accepts invokedSkillMessages and appends skill bodies to
systemContent so the model retains skill instructions across runs
- initialize.js calls the packaged function with all deps passed explicitly
- client.js passes both initialSessions and injectedMessages to createRun
* fix: move dynamic requires to top-level module imports
Move primeInvokedSkills, getStrategyFunctions, batchUploadCodeEnvFiles,
getSessionInfo, and checkIfActive from inline requires to top-level
module requires where they belong.
* refactor: skill body reconstruction via formatAgentMessages, not systemContent
Replaces the lazy systemContent approach with proper message-level
reconstruction:
SDK (formatAgentMessages):
- New invokedSkillBodies param (Map<string, string>)
- Reconstructs HumanMessages after skill ToolMessages at the correct
position in the message sequence, matching where ToolNode originally
injected them
LibreChat:
- extractInvokedSkillsFromPayload replaces extractInvokedSkillsFromHistory
(works with raw TPayload before formatAgentMessages, not BaseMessage[])
- primeInvokedSkills now takes payload instead of messages, returns
skillBodies Map instead of injectedMessages
- client.js calls primeInvokedSkills BEFORE formatAgentMessages, passes
skillBodies through as the 4th param
- Removed invokedSkillMessages from createRun (no more systemContent hack)
- Single-pass: skill detection happens inside formatAgentMessages' existing
tool_call processing loop, zero extra message iterations
* refactor: rename skillBodies to skills for consistency with SDK param
* refactor: move auth loading into primeInvokedSkills, pass loadAuthValues as dep
The payload/accessibleSkillIds guard and CODE_API_KEY loading now live
inside primeInvokedSkills (packages/api) rather than in the CJS caller.
initialize.js passes loadAuthValues as a dependency and the callback
is only created when skillsCapabilityEnabled.
* feat: ReadFile tool + conditional bash registration + skill path namespacing
ReadFile tool (read_file):
- General-purpose file reader, event-driven (ON_TOOL_EXECUTE)
- Schema: { file_path: string } — "{skillName}/{path}" convention
- handleReadFileCall: resolves skill name from path, ACL check, reads
from DB cache or storage, binary detection, size limits (256KB),
lazy caching (512KB), line numbers in output
- SKILL.md special case: reads skill.body directly
- Dispatched alongside SKILL_TOOL in createToolExecuteHandler
- Added to specialToolNames in ToolService
Conditional tool registration:
- ReadFile + SkillTool: always registered when skills enabled
- BashTool: only registered when codeEnvAvailable === true
- codeEnvAvailable passed through InitializeAgentParams from caller
Skill file path namespacing:
- primeSkillFiles now uploads as "{skillName}/SKILL.md" and
"{skillName}/{relativePath}" instead of flat names
- Prevents file collisions when multiple skills are invoked
Wiring:
- getSkillFileByPath + updateSkillFileContent passed through
ToolExecuteOptions in all three callers
* feat: return images/PDFs as artifacts from read_file, tighten caching
Binary artifact support:
- Images (png, jpeg, gif, webp) returned as base64 in artifact.content
with type: 'image_url', processed by existing callback attachment flow
- PDFs returned as base64 artifact similarly
- Binary size limit: 10MB (MAX_BINARY_BYTES)
- Other binary files still return metadata + bash fallback
Caching:
- Text cached only on first read (file.content == null check)
- Binary flag cached only on first detection (file.isBinary == null)
- Skill files are immutable; no redundant cache writes
Registration:
- ReadFileToolDefinition now includes responseFormat: 'content_and_artifact'
* chore: update @librechat/agents to version 3.1.66-dev.0 and add peer dependencies in package-lock.json and package.json files
* fix: resolve review findings #1,#2,#4,#5,#6,#10,#13
Critical:
- #1: primeInvokedSkills now accumulates files across all skills into
one session entry instead of overwriting. Parallel processing via
Promise.allSettled.
- #2: codeEnvAvailable now computed and passed in openai.js and
responses.js (was missing, bash tool never registered in those flows)
Major:
- #4: relativePath in updateSkillFileCodeEnvIds now strips the
{skillName}/ prefix to match SkillFile documents. SKILL.md filter
uses endsWith instead of exact match.
- #5: File priming guarded on apiKey being non-empty (skip when not
configured instead of failing with auth error)
- #6: Skills processed in parallel via Promise.allSettled instead of
sequential for-of loop
Minor:
- #10: Use top-level imports in initialize.js instead of inline requires
- #13: Log warning when skill catalog reaches the 100-skill limit
* fix: resolve followup review findings N1,N2,N4
N1 (CRITICAL): Wire skill deps into responses.js non-streaming path.
Was completely missing getSkillByName, file strategy functions, etc.
N2 (MAJOR): Single batch upload for ALL skills' files. Resolves skills
in parallel (Phase 1), then collects all file streams across skills
and does ONE batchUploadCodeEnvFiles call (Phase 2). All files share
one session_id, eliminating cross-session isolation issues.
N4 (MINOR): Move inline require() to top-level in openai.js and
responses.js, consistent with initialize.js.
* fix: add mocks for new file strategy imports in controller tests
* fix: restore session freshness check, parallelize file lookups, add warnings
R1: Re-add session freshness check before batch upload. Checks any
existing codeEnvIdentifier via getSessionInfo + checkIfActive. If the
session is still active (23h window), returns cached file references
with zero re-uploads.
R2: listSkillFiles calls parallelized via Promise.all (were sequential
in the for-of loop).
R3: Log warning when skill record lookup fails during identifier
persistence (was a silent empty-string fallback).
* fix: guard freshness cache on single-session consistency
* fix: multi-session freshness check (code env handles mixed sessions natively)
The code execution environment fetches each file by its own
{session_id, fileId} pair independently — no single-session
requirement. Removed the sessionIds.size === 1 guard.
Now checks ALL distinct sessions for freshness. If every session
is still active (23h window), returns cached references with per-file
session_ids preserved. If any session expired, falls through to
re-upload everything in a single batch.
* perf: parallelize session freshness checks via Promise.all
* fix: add optional chaining for session info retrieval in primeInvokedSkills
Updated the primeInvokedSkills function to use optional chaining for getSessionInfo and checkIfActive methods, ensuring safer access and preventing potential runtime errors when these methods are undefined.
* fix: address review findings #1-#9 + Codex P1/P2 + session probe
Critical:
- #1/Codex P1: Add codeApiKey loading to openai.js and responses.js
loadTools configurable (was missing, file priming broken in 2/3 paths)
- Codex P1: Fix cached file name prefix in primeSkillFiles cache path
(was sf.relativePath, now ${skill.name}/${sf.relativePath})
Major:
- Codex P2: Honor ephemeral skills toggle in agents endpoint
(check ephemeralAgent?.skills !== false alongside admin capability)
- #4: Early size check using file.bytes from DB before streaming
(prevents full-file buffer for oversized files)
Minor:
- #5: Replace Record<string, any> with Record<string, boolean | string>
- #6: Localize Pin/Unpin aria-labels with com_ui_pin/com_ui_unpin
- #8: Parallelize stream acquisition in primeSkillFiles via
Promise.allSettled
- #9: Log warning for partial batch upload failures with filenames
Performance:
- Session probe optimization: getSessionInfo now hits per-object
endpoint (GET /sessions/{sid}/objects/{fid}) instead of listing
entire session (GET /files/{sid}?detail=summary). O(1) stat vs
O(N) list + linear scan.
* refactor: extract shared skill wiring helper + add unit tests
DRY (#3):
- New skillDeps.js exports getSkillToolDeps() with all 9 skill-related
deps (getSkillByName, listSkillFiles, getStrategyFunctions, etc.)
- Replaces 5 identical copy-paste blocks across initialize.js, openai.js,
responses.js (streaming + non-streaming paths)
- One place to maintain when skill deps change
Tests (#2):
- 8 unit tests for extractInvokedSkillsFromPayload covering:
string args, object args, missing skill tool_calls, non-assistant
messages, malformed JSON, empty skillName, empty payload, dedup
* fix: remove @jest/globals import, use global jest env
* fix: resolve round 2 review findings R2-1 through R2-7
R2-1 (toggle semantics): openai.js + responses.js now check admin
capability (AgentCapabilities.skills) alongside ephemeral toggle.
Aligns with initialize.js.
R2-2 (swallowed error): primeInvokedSkills now logs
updateSkillFileCodeEnvIds failures (was .catch(() => {}))
R2-4 (test cast): Record<string, string> → Record<string, unknown>
R2-5 (DRY regression): Extract enrichWithSkillConfigurable() into
skillDeps.js. Replaces 4 identical loadAuthValues blocks.
Each loadTools callback is now a one-liner. JSDoc added (R2-6).
R2-7 (sequential streams): primeInvokedSkills now uses
Promise.allSettled for parallel stream acquisition.
* fix: require explicit skills toggle + treat partial cache as miss
- initialize.js: change ephemeralSkillsToggle !== false to === true
(unset toggle no longer enables skills)
- primeSkillFiles cache: require ALL files to have codeEnvIdentifier
before using cache (partial persistence = cache miss = re-upload)
- primeInvokedSkills cache: same check (allFilesWithIds.length must
equal total file count)
* fix: pass entity_id=skillId on batch upload, eliminates per-user cache thrashing
primeSkillFiles now passes entity_id: skill._id.toString() to
batchUploadCodeEnvFiles. This scopes the code env session to the
skill, not the user. All users sharing a skill share the same
uploaded files — no more cache thrashing from overwriting each
other's codeEnvIdentifier.
The stored codeEnvIdentifier now includes ?entity_id= suffix so
freshness checks pass the entity_id through to the per-object
stat endpoint. Both primeSkillFiles and primeInvokedSkills
store consistent identifier formats.
* fix: pass entity_id on multi-skill batch upload, consistent identifier format
* Revert "fix: pass entity_id on multi-skill batch upload, consistent identifier format"
This reverts commit
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181d705579
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🧹 fix: Clean Up Orphaned Agent File Stubs After Deletion (#12781)
* 🧹 fix: Prune Orphaned File References on File Deletion Deleting a file via the Manage Files tab left its file_id in every agent's tool_resources.*.file_ids. Stubs accumulate until the frontend dedupe keys them as duplicates and blocks all new uploads (issue #12776). - Add removeAgentResourceFilesFromAllAgents in packages/data-schemas: a single updateMany/$pullAll across every EToolResources category. - Invoke it from processDeleteRequest after db.deleteFiles so every referencing agent is cleaned up, not just the one passed in req.body. - Wrap the cleanup in try/catch so a stale agent update cannot mask a successful file deletion. * 🧼 fix: Prune Orphaned File References on Agent Update Already-affected agents would stay broken even after the delete-time fix: the stubs sit on the agent document until something strips them. Heal them on the next save (issue #12776). - Add collectToolResourceFileIds + stripFileIdsFromToolResources helpers in @librechat/api — centralizing the tool_resources traversal used by the controller and the follow-up migration script. - In updateAgentHandler, check the effective tool_resources against the files collection. When orphans are found, either strip them from the incoming tool_resources (if the update sets them) or run the bulk cleanup (if the update leaves tool_resources untouched). * 🧰 chore: Add Migration to Clean Up Orphaned Agent File References Complements the delete-time and save-time fixes by healing agents that already accumulated orphan stubs before the upgrade (issue #12776). The script is idempotent — re-running it on a clean database is a no-op. - Add config/migrate-orphaned-agent-files.js following the existing migrate-*.js convention: --dry-run by default omitted (writes by default) and --batch-size= tuning knob. Streams agents via cursor. - Register migrate:orphaned-agent-files and :dry-run npm scripts. - Reuse collectToolResourceFileIds from @librechat/api so migration and runtime share the same traversal logic. * 🩹 fix: Address Codex/Copilot Review on Orphaned Agent File Cleanup Refines the #12776 fix series based on automated review feedback. - Scope save-time pruning to the current agent only. When a PATCH carries tool_resources, strip orphans from the incoming payload and pay the DB round-trip only then. Removes the collection-wide updateMany previously triggered when tool_resources was absent (Codex P2 / Copilot). - Wrap the orphan check in try/catch so a transient db.getFiles failure can't turn a good save into a 500 (comprehensive review #1). - Replace Object.values(EToolResources) casts with an explicit list of agent-side categories in both orphans.ts and agent.ts. code_interpreter belongs to the Assistants API and isn't a key of AgentToolResources — including it was a type lie and generated dead MongoDB clauses (comprehensive review #3, #8). - Export TOOL_RESOURCE_KEYS from @librechat/api and consume it in the migration script, dropping one duplicated definition (#4). - Cap migration results.details at 50 sample entries so the memory footprint stays bounded on deployments with thousands of corrupted agents (Codex P3). - Add migrate:orphaned-agent-files:batch npm script to match the convention set by migrate-agent-permissions / migrate-prompt-permissions (#7). - Add controller-level tests covering the three orphan-pruning paths: strip from incoming tool_resources, leave alone when tool_resources is absent, swallow db.getFiles errors and still save (#6). - Back pre-existing "should validate tool_resources in updates" test's file_ids with real File docs — the new pruning would otherwise strip them, and that test is about OCR conversion / schema filtering, not file existence. Register the File model in beforeAll so the fixture works. * 🩹 fix: Tighten TOOL_RESOURCE_KEYS Type and Align Migration Sample Output Two follow-ups from the second review pass. - Type data-schemas' TOOL_RESOURCE_KEYS as ReadonlyArray<keyof AgentToolResources> instead of readonly string[]. Data-schemas depends on data-provider, so the import is clean. Catches typos and aligns with the matching export in @librechat/api — doesn't guarantee exhaustiveness, but that's a TypeScript limitation, not a workspace one. - Align the migration's console output with DETAIL_SAMPLE_LIMIT: print every collected detail (up to 50) and, when more agents were affected than the sample size allowed, show a truncation notice. The old hard cap of 25 meant affected agents in the 26-50 range were collected but never shown. * ✅ test: Add Integration Coverage for Orphan Cleanup Paths (#12776) Exercise the delete-time and migration paths end-to-end against a real in-memory Mongo. Catches integration bugs the isolated unit tests on each layer couldn't. - api/server/services/Files/process.integration.spec.js — the primary repro: seed an Agent + File, call processDeleteRequest, assert the file_id disappears from every referencing agent's tool_resources while unrelated agents stay untouched. Also covers the no-op case and confirms a failure in the new cleanup step cannot roll back the file deletion itself. - api/test/migrate-orphaned-agent-files.spec.js — drives the migration module: --dry-run reports without writing, apply mode prunes across every tool_resource category, re-running is idempotent, and DETAIL_SAMPLE_LIMIT caps the in-memory sample on wide corruption. Mocks only the connect helper (the spec owns the mongoose instance) so the real migration code path — cursor, $pullAll, reduce — runs. * 🔒 fix: Run Orphan Cleanup Migration in System Tenant Context Codex P2 catch: under TENANT_ISOLATION_STRICT=true, the migration throws on the very first Agent.countDocuments() because the tenant isolation plugin fail-closes on queries without tenant context — which makes migrate:orphaned-agent-files unusable on the exact deployments most likely to have accumulated corruption. - Wrap the scan/prune body in runAsSystem so queries bypass the tenant filter (SYSTEM_TENANT_ID sentinel). The migration legitimately needs cross-tenant visibility — this is the same pattern seedDatabase and the S3 refresh job already use. - Add a regression test that spies on Agent.countDocuments() and asserts the active tenantStorage context is SYSTEM_TENANT_ID during the call. Pins the wrap against future regressions without the brittleness of toggling the strict-mode env var (which caches on first read). Note: the delete-time and save-time paths already run inside an authenticated HTTP request where tenantStorage.run is set by auth middleware, so the cleanup naturally scopes to the current tenant — which is the correct behavior there since file ownership is tenant-scoped. * 🧹 chore: Drop Unused path Import From Process Integration Spec Leftover from an earlier iteration that resolved the migration path via path.resolve before I switched to a relative require. The import does nothing now — removing it. |
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8e866e6010
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🗺️ fix: Resolve Custom-Endpoint Providers for Summarization (#12739)
* 🔧 fix: resolve custom-endpoint providers for summarization When `summarization.provider` in `librechat.yaml` is set to a custom-endpoint name (e.g. `Ollama`), the string was passed verbatim to the agents SDK, which only knows a fixed set of provider names and threw `Unsupported LLM provider: Ollama`. Before shaping the summarization config for the SDK, resolve the provider through `getProviderConfig`: custom-endpoint labels are remapped to the underlying SDK provider (e.g. `openAI`) and the endpoint's baseURL/apiKey are injected into `parameters` so the summarization model reaches the right backend, even when summarization targets a different custom endpoint than the main agent. Unknown names and names that appear with no matching endpoint flow through unchanged so the SDK can surface a clear error. User-provided credentials and unresolved env-var references are skipped rather than forwarded, letting the SDK's self-summarize path reuse the agent's own clientOptions. Ref: LibreChat Discussion #12614 * address: widen unresolved-env-var guard, fix test naming - Reject summarization overrides when the extracted baseURL/apiKey still contains any `${...}` placeholder, including prefix/suffix patterns like `https://${UNSET}.example.com` that `envVarRegex` (exact-match) missed. - Rename the "case-insensitive" test to reflect that only `Ollama` is normalized via `normalizeEndpointName`; add coverage proving other custom-endpoint names match case-sensitively. * address: use req.config in responses.js; forward full endpoint options - `responses.js` relied on a module-level `appConfig` set via `setAppConfig`, which is never called anywhere. Use `req.config` directly so the summarization provider resolver actually runs on the responses route. - Route the custom endpoint config through `getOpenAIConfig` so summarization inherits the same `headers`, `defaultQuery`, `addParams`/`dropParams`, and `customParams` transforms (Anthropic/Google/etc.) that `initializeCustom` applies for the main agent flow. Strip the stale `model`/`modelName` defaults so `summarization.model` still wins. * address: skip overrides when summarization matches agent endpoint When `summarization.provider` resolves to the same custom endpoint as the main agent, rely on the SDK's self-summarize path (which reuses `agentContext.clientOptions` unchanged) rather than injecting overrides. Otherwise the shallow spread of `clientOverrides.configuration` would replace the agent's request-resolved state (dynamic headers, proxy/fetch options) with yaml-only config. Only applies when summarization targets a *different* endpoint from the agent; the yaml config is all we have in that case, so overrides still flow through. * address: preserve raw provider when overrides cannot be built When summarization points at a different custom endpoint than the agent and we can't resolve the endpoint's credentials (user_provided, or a still-unresolved `${VAR}` after env extraction), remapping to `openAI` without overrides would silently route summaries to the default OpenAI client. Preserve the raw provider name so the SDK raises a clear "Unsupported LLM provider" error (now also logged, via the agents SDK defense-in-depth fix) instead of sending traffic to the wrong backend. * address: resolve endpoint headers and forward PROXY to summarization - Custom-endpoint `headers` now flow through `resolveHeaders` before reaching `getOpenAIConfig`, matching the main agent path. This ensures templated values like `\${PORTKEY_API_KEY}` or `{{LIBRECHAT_BODY_...}}` are substituted for summarization requests instead of being forwarded literally. - `PROXY` env var is now passed into `getOpenAIConfig` so cross-endpoint summarization honors outbound proxy dispatchers configured for the rest of the deployment. * address: user summarization parameters win over endpoint defaults Flip the merge order so `summarization.parameters` from yaml override `clientOverrides` defaults (which come from `getOpenAIConfig` and always include `streaming: true` etc.). A user who sets `parameters.streaming: false` in their config should still see non-streaming summarization for providers that require it. * address: review feedback (logging, dead code, DRY, types, deep-merge) - Log error in the resolveSummarizationProvider catch-all so programming bugs in getProviderConfig/getOpenAIConfig/resolveHeaders surface in operator logs instead of falling through silently. - Drop dead `setAppConfig`/`appConfig` infrastructure in responses.js and fix adjacent `allowedProviders` reference that also relied on the never-initialized module-level appConfig. Uses `req.config` directly. - Import canonical `normalizeEndpointName` from librechat-data-provider instead of duplicating it locally. - Replace `SummarizationClientOverrides = Record<string, unknown>` with an explicit interface covering the known fields. - Deep-merge `configuration` when user-supplied `summarization.parameters. configuration` overlaps the resolved endpoint configuration, so user additions (e.g. `defaultQuery`) don't wipe out `baseURL`/`defaultHeaders`. - Wrap `process.env` mutations in test in `try/finally` so a failed assertion doesn't leak env state into subsequent tests. - Drop `as unknown as AppConfig` in test helper; fixture now matches the `AppConfig` shape directly using a `Partial<TEndpoint>` union. - Trim JSDoc that restated the name it was attached to. * address: review nits — import order, local test type, conflict test - Move `import { logger }` up into the package value-imports section so it no longer sits between `import type` blocks. - Replace `as unknown as SummarizationConfig['parameters']` in the deep-merge test with a named `TestSummarizationParameters` type and a single narrowing cast at the call site, making intent explicit. - Add a test proving that user-supplied `configuration.baseURL` wins over the resolved endpoint baseURL, locking in the deep-merge's user-wins-on-conflict semantics that the previous suite only exercised additively. |
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d2cbd551b7
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🤝 fix: Load Handoff Agents for Agents API (#12740)
* 🤝 fix: load handoff sub-agents on OpenAI-compat endpoints (#12726)
Extracts the BFS discovery + ACL-gated initialization of handoff sub-agents
into a shared `discoverConnectedAgents` helper in `@librechat/api` and
wires it into the OpenAI-compatible `/v1/chat/completions` and Open
Responses `/v1/responses` controllers. These endpoints previously only
passed the primary agent config to `createRun` while keeping
`primaryConfig.edges` intact, which forced `MultiAgentGraph` into
multi-agent mode without loading the referenced sub-agents and caused
StateGraph to throw "Found edge ending at unknown node <id>".
The discovery helper also filters orphaned edges (deleted sub-agents or
those the caller lacks VIEW permission on), so API users see the same
graceful fallback the chat UI already had.
* 🧪 fix: use ServerRequest in discovery spec helpers
CI `tsc --noEmit -p packages/api/tsconfig.json` caught that the test
helpers typed `req` as `express.Request`, which is not assignable to
`DiscoverConnectedAgentsParams.req` (typed as `ServerRequest` whose
`user` is `IUser`). Local jest passed because ts-jest is transpile-only,
but the CI typecheck uses the full compiler.
* 🪲 fix: drop orphan edges on both endpoints, not just `to`
Addresses the P1 codex finding on #12740: `filterOrphanedEdges`
previously only removed edges whose `to` referenced a skipped agent.
Edges whose `from` was a skipped agent — the symmetric case in a
bidirectional graph like `A <-> B` where `B` is deleted or the user
lacks VIEW on it — leaked through to `createRun` and re-triggered
`Found edge ending at unknown node <id>` at StateGraph compile time.
The filter now drops an edge if either endpoint references a skipped
id, and the existing `to`-only test cases were updated to reflect the
stricter behavior. Adds a bidirectional-graph regression test in
`discovery.spec.ts`.
* 🔒 fix: enforce REMOTE_AGENT ACL on handoff sub-agents for API routes
Addresses the second P1 codex finding on #12740: the OpenAI-compat
`/v1/chat/completions` and Open Responses `/v1/responses` routes gate
the primary agent on `REMOTE_AGENT` (via `createCheckRemoteAgentAccess`),
but `discoverConnectedAgents` was checking handoff sub-agents against
the looser in-app `AGENT` resource type. That allowed a remote caller
who could reach the orchestrator but had only in-app visibility on a
sub-agent to invoke it via the API — bypassing the remote-sharing
boundary.
Adds an optional `resourceType` param to `discoverConnectedAgents`
(defaulting to `AGENT` for the chat UI path) and passes
`ResourceType.REMOTE_AGENT` from both API controllers so every
discovered sub-agent clears the same sharing boundary enforced at
route entry.
* 🧯 fix: enforce allowedProviders for discovered sub-agents
Addresses the third P1 codex finding on #12740: `discoverConnectedAgents`
forwarded the caller's `endpointOption` verbatim into `initializeAgent`,
but on the OpenAI-compat routes that option's `endpoint` is the primary
agent's provider (e.g. `openai`), not `agents`. `initializeAgent` only
enforces `allowedProviders` when `isAgentsEndpoint(endpointOption.endpoint)`
is true, so handoff sub-agents silently bypassed the provider allowlist
configured under `endpoints.agents.allowedProviders`.
Override `endpointOption.endpoint` to `EModelEndpoint.agents` for every
per-sub-agent init call. The primary agent still uses the caller's
endpointOption as before — this only affects the BFS-loaded handoff
targets. Regression test asserts the override.
* ✂️ fix: prune unreachable sub-agents after orphan-edge filtering
Addresses the fourth P1 codex finding on #12740: BFS eagerly initializes
every sub-agent referenced in the primary's edge scan, but once
`filterOrphanedEdges` drops edges whose endpoints were skipped, some of
those sub-agents end up disconnected from the primary. In an `A -> B ->
C` graph (edges stored directly on A) where B is skipped (missing or
no VIEW), both edges are filtered, but C was already loaded and would
still be passed to `createRun` — which flips into multi-agent mode on
`agents.length > 1` and turns C into an unintended parallel start node.
After filtering edges, compute the set of agent ids reachable from the
primary through the surviving edge set and prune `agentConfigs` to that
set. Two regression tests added: one for the pruning case, one that
confirms agents connected via surviving edges are still kept.
* 🔁 fix: don't seed initialize.js agentConfigs from the pre-pruning callback
Addresses the fifth P1 codex finding on #12740: `onAgentInitialized`
fires during BFS, BEFORE the helper prunes agents that become
disconnected once `filterOrphanedEdges` runs. Writing the sub-agent
straight into the outer `agentConfigs` there and then only additively
merging the pruned `discoveredConfigs` left stranded entries in the
outer map, and `AgentClient` would still hand them to `createRun` as
extra parallel start nodes (the exact failure mode the pass-4 prune
was meant to eliminate for the API controllers).
Drop the `agentConfigs.set` from the callback and replace the additive
merge with a direct copy from `discoveredConfigs`, which is now the
single authoritative source of what the run should see. The
per-agent tool context map is still populated during BFS — stale
entries there are harmless because they're only read by closure inside
`ON_TOOL_EXECUTE` and are unreachable once the agent is not in
`agentConfigs`.
* 🔬 fix: address audit findings on discovery helper
Resolves findings from a comprehensive external audit of #12740.
**Finding 1 (CRITICAL) — stale edges survive the reachability prune.**
The pass-4 prune removed unreachable agents from `agentConfigs` but left
matching edges in the return value. In an `A -> B -> C -> D` graph (all
edges stored on A) where B is skipped, `filterOrphanedEdges` drops A->B
and B->C but keeps C->D (neither endpoint is skipped). The caller then
sees `agentConfigs` without C/D but `edges` still references them,
flipping `createRun` into multi-agent mode with mismatched agents/edges
— the exact crash this PR is supposed to fix. Now filter the edge list
to the reachable set in the same pass, so the returned shape is
self-consistent: every edge endpoint is either the primary id or a key
of `agentConfigs`. New regression test covers A->B->C->D with B skipped.
**Finding 2 (MAJOR) — unconditional `getModelsConfig` on every API
request.** The OpenAI-compat and Responses controllers called
`getModelsConfig(req)` and `discoverConnectedAgents` even when the
primary agent had no edges (the common single-agent API case). Gate
both behind `primaryConfig.edges?.length > 0` so single-agent runs
don't pay that cost.
**Finding 5 (MINOR) — silent mutation of caller's
`primaryConfig.userMCPAuthMap`.** The helper aliased that object and
then `Object.assign`'d sub-agent entries into it, changing the caller's
config in-place. Shallow-clone up front so the returned merged map is
the only destination.
**Finding 7 (NIT) — dead `?? []` coalescing.**
`filterOrphanedEdges` always returns a concrete array, so the
`discoveredEdges ?? []` fallback was never reached. Simplified the
`primaryConfig.edges = …` assignment.
Also adds a test that verifies `primaryConfig.userMCPAuthMap` is not
mutated in-place.
* 🧹 chore: address audit NITs on discovery helper
Addresses two NIT findings from the post-fix audit:
**F1** — the shallow clone on `primaryConfig.userMCPAuthMap` was only
applied on the primary side; the `else` branch (hit when the primary
had no MCP auth and the first sub-agent seeds the map) assigned the
sub-agent's `config.userMCPAuthMap` directly, so a later sub-agent's
`Object.assign` mutated the first one's map in place. Harmless in
practice (per-request ephemeral objects) but asymmetric. Clone in the
else branch too. Test added.
**F2** — `initialize.js` had a defensive `if (agentConfigs.size > 0 &&
!edges) edges = []` normalizer. Pre-existing dead code: the helper now
always returns a concrete array from `filteredEdges.filter(...)`.
Removed for clarity.
* 🕸 fix: require all sources reachable when traversing fan-in edges
Addresses the seventh P1 codex finding on #12740: the reachability BFS
advanced through an edge as soon as any of its `from` endpoints matched
the current frontier node (`sources.includes(current)`), but the
subsequent edge filter required ALL sources to be reachable (`every`).
The two-semantics mismatch let a fan-in edge like `{from: ['A','B'],
to: 'C'}` mark C reachable purely via A even when B had no path from
the primary, then drop the edge itself at filter time. Result: C
survived in `agentConfigs` with no surviving edge connecting it to A,
so `createRun` flipped into multi-agent mode on `agents.length > 1`
and C ran as an unintended parallel root.
Replace the BFS with a fixed-point iteration keyed on the same
all-sources-reachable predicate used by the filter, so traversal and
filtering stay aligned and multi-source edges only fire once every
source is in the reachable set.
Two regression tests added:
- `{from: ['A','B'], to: 'C'}` with B having no incoming path — asserts
neither B nor C leak into the result.
- `A -> B`, `A -> C`, `['B','C'] -> D` — asserts the fan-in edge fires
and D becomes reachable once both B and C are.
* 🔀 fix: match SDK OR semantics for multi-source edge reachability
Reverts the all-sources-required reachability gate from
|
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edd4c6d60c
|
💎 fix: Handle usage_metadata in Title Transaction for Gemini Models (#12386)
* fix: handle `usage_metadata` in title transaction for Gemini models Gemini models return token usage via `usage_metadata` instead of `usage` or `tokenUsage`. The `collectedUsage` mapping in `titleConvo` only handled the latter two, causing title generation transactions to be silently skipped for Gemini. Adds an `else if (item.usage_metadata)` branch to extract `input_tokens`/`output_tokens`. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove trailing whitespace in usage_metadata handler Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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cb41ba14b2
|
🔁 fix: Pass recursionLimit to OpenAI-Compatible Agents API Endpoint (#12510)
* fix: pass recursionLimit to processStream in OpenAI-compatible agents API The OpenAI-compatible endpoint never passed recursionLimit to LangGraph's processStream(), silently capping all API-based agent calls at the default 25 steps. Mirror the 3-step cascade already used by the UI path (client.js): yaml config default → per-agent DB override → max cap. * refactor: extract resolveRecursionLimit into shared utility Extract the 3-step recursion limit cascade into a shared resolveRecursionLimit() function in @librechat/api. Both openai.js and client.js now call this single source of truth. Also fixes falsy-guard edge cases where recursion_limit=0 or maxRecursionLimit=0 would silently misbehave, by using explicit typeof + positive checks. Includes unit tests covering all cascade branches and edge cases. * refactor: use resolveRecursionLimit in openai.js and client.js Replace duplicated cascade logic in both controllers with the shared resolveRecursionLimit() utility from @librechat/api. In openai.js: hoist agentsEConfig to avoid double property walk, remove displaced comment, add integration test assertions. In client.js: remove inline cascade that was overriding config after initial assignment. * fix: hoist processStream mock for test accessibility The processStream mock was created inline inside mockResolvedValue, making it inaccessible via createRun.mock.results (which returns the Promise, not the resolved value). Hoist it to a module-level variable so tests can assert on it directly. * test: improve test isolation and boundary coverage Use mockReturnValueOnce instead of mockReturnValue to prevent mock leaking across test boundaries. Add boundary tests for downward agent override and exact-match maxRecursionLimit. |
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fda72ac621
|
🏗️ refactor: Remove Redundant Caching, Migrate Config Services to TypeScript (#12466)
* ♻️ refactor: Remove redundant scopedCacheKey caching, support user-provided key model fetching Remove redundant cache layers that used `scopedCacheKey()` (tenant-only scoping) on top of `getAppConfig()` which already caches per-principal (role+user+tenant). This caused config overrides for different principals within the same tenant to be invisible due to stale cached data. Changes: - Add `requireJwtAuth` to `/api/endpoints` route for proper user context - Remove ENDPOINT_CONFIG, STARTUP_CONFIG, PLUGINS, TOOLS, and MODELS_CONFIG cache layers — all derive from `getAppConfig()` with cheap computation - Enhance MODEL_QUERIES cache: hash(baseURL+apiKey) keys, 2-minute TTL, caching centralized in `fetchModels()` base function - Support fetching models with user-provided API keys in `loadConfigModels` via `getUserKeyValues` lookup (no caching for user keys) - Update all affected tests Closes #1028 * ♻️ refactor: Migrate config services to TypeScript in packages/api Move core config logic from CJS /api wrappers to typed TypeScript in packages/api using dependency injection factories: - `createEndpointsConfigService` — endpoint config merging + checkCapability - `createLoadConfigModels` — custom endpoint model loading with user key support - `createMCPToolCacheService` — MCP tool cache operations (update, merge, cache) /api files become thin wrappers that wire dependencies (getAppConfig, loadDefaultEndpointsConfig, getUserKeyValues, getCachedTools, etc.) into the typed factories. Also moves existing `endpoints/config.ts` → `endpoints/config/providers.ts` to accommodate the new `config/` directory structure. * 🔄 fix: Invalidate models query when user API key is set or revoked Without this, users had to refresh the page after entering their API key to see the updated model list fetched with their credentials. - Invalidate QueryKeys.models in useUpdateUserKeysMutation onSuccess - Invalidate QueryKeys.models in useRevokeUserKeyMutation onSuccess - Invalidate QueryKeys.models in useRevokeAllUserKeysMutation onSuccess * 🗺️ fix: Remap YAML-level override keys to AppConfig equivalents in mergeConfigOverrides Config overrides stored in the DB use YAML-level keys (TCustomConfig), but they're merged into the already-processed AppConfig where some fields have been renamed by AppService. This caused mcpServers overrides to land on a nonexistent key instead of mcpConfig, so config-override MCP servers never appeared in the UI. - Add OVERRIDE_KEY_MAP to remap mcpServers→mcpConfig, interface→interfaceConfig - Apply remapping before deep merge in mergeConfigOverrides - Add test for YAML-level key remapping behavior - Update existing tests to use AppConfig field names in assertions * 🧪 test: Update service.spec to use AppConfig field names after override key remapping * 🛡️ fix: Address code review findings — reliability, types, tests, and performance - Pass tenant context (getTenantId) in importers.js getEndpointsConfig call - Add 5 tests for user-provided API key model fetching (key found, no key, DB error, missing userId, apiKey-only with fixed baseURL) - Distinguish NO_USER_KEY (debug) from infrastructure errors (warn) in catch - Switch fetchPromisesMap from Promise.all to Promise.allSettled so one failing provider doesn't kill the entire model config - Parallelize getUserKeyValues DB lookups via batched Promise.allSettled instead of sequential awaits in the loop - Hoist standardCache instance in fetchModels to avoid double instantiation - Replace Record<string, unknown> types with Partial<TConfig>-based types; remove as unknown as T double-cast in endpoints config - Narrow Bedrock availableRegions to typed destructure - Narrow version field from string|number|undefined to string|undefined - Fix import ordering in mcp/tools.ts and config/models.ts per AGENTS.md - Add JSDoc to getModelsConfig alias clarifying caching semantics * fix: Guard against null getCachedTools in mergeAppTools * 🔍 fix: Address follow-up review — deduplicate extractEnvVariable, fix error discrimination, add log-level tests - Deduplicate extractEnvVariable calls: resolve apiKey/baseURL once, reuse for both the entry and isUserProvided checks (Finding A) - Move ResolvedEndpoint interface from function closure to module scope (Finding B) - Replace fragile msg.includes('NO_USER_KEY') with ErrorTypes.NO_USER_KEY enum check against actual error message format (Finding C). Also handle ErrorTypes.INVALID_USER_KEY as an expected "no key" case. - Add test asserting logger.warn is called for infra errors (not debug) - Add test asserting logger.debug is called for NO_USER_KEY errors (not warn) * fix: Preserve numeric assistants version via String() coercion * 🐛 fix: Address secondary review — Ollama cache bypass, cache tests, type safety - Fix Ollama success path bypassing cache write in fetchModels (CRITICAL): store result before returning so Ollama models benefit from 2-minute TTL - Add 4 fetchModels cache behavior tests: cache write with TTL, cache hit short-circuits HTTP, skipCache bypasses read+write, empty results not cached - Type-safe OVERRIDE_KEY_MAP: Partial<Record<keyof TCustomConfig, keyof AppConfig>> so compiler catches future field rename mismatches - Fix import ordering in config/models.ts (package types longest→shortest) - Rename ToolCacheDeps → MCPToolCacheDeps for naming consistency - Expand getModelsConfig JSDoc to explain caching granularity * fix: Narrow OVERRIDE_KEY_MAP index to satisfy strict tsconfig * 🧩 fix: Add allowedProviders to TConfig, remove Record<string, unknown> from PartialEndpointEntry The agents endpoint config includes allowedProviders (used by the frontend AgentPanel to filter available providers), but it was missing from TConfig. This forced PartialEndpointEntry to use & Record<string, unknown> as an escape hatch, violating AGENTS.md type policy. - Add allowedProviders?: (string | EModelEndpoint)[] to TConfig - Remove Record<string, unknown> from PartialEndpointEntry — now just Partial<TConfig> * 🛡️ fix: Isolate Ollama cache write from fetch try-catch, add Ollama cache tests - Separate Ollama fetch and cache write into distinct scopes so a cache failure (e.g., Redis down) doesn't misattribute the error as an Ollama API failure and fall through to the OpenAI-compatible path (Issue A) - Add 2 Ollama-specific cache tests: models written with TTL on fetch, cached models returned without hitting server (Issue B) - Replace hardcoded 120000 with Time.TWO_MINUTES constant in cache TTL test assertion (Issue C) - Fix OVERRIDE_KEY_MAP JSDoc to accurately describe runtime vs compile-time type enforcement (Issue D) - Add global beforeEach for cache mock reset to prevent cross-test leakage * 🧪 fix: Address third review — DI consistency, cache key width, MCP tests - Inject loadCustomEndpointsConfig via EndpointsConfigDeps with default fallback, matching loadDefaultEndpointsConfig DI pattern (Finding 3) - Widen modelsCacheKey from 64-bit (.slice(0,16)) to 128-bit (.slice(0,32)) for collision-sensitive cross-credential cache key (Finding 4) - Add fetchModels.mockReset() in loadConfigModels.spec beforeEach to prevent mock implementation leaks across tests (Finding 5) - Add 11 unit tests for createMCPToolCacheService covering all three functions: null/empty input, successful ops, error propagation, cold-cache merge (Finding 2) - Simplify getModelsConfig JSDoc to @see reference (Finding 10) * ♻️ refactor: Address remaining follow-ups from reviews OVERRIDE_KEY_MAP completeness: - Add missing turnstile→turnstileConfig mapping - Add exhaustiveness test verifying all three renamed keys are remapped and original YAML keys don't leak through Import role context: - Pass userRole through importConversations job → importLibreChatConvo so role-based endpoint overrides are honored during conversation import - Update convos.js route to include req.user.role in the job payload createEndpointsConfigService unit tests: - Add 8 tests covering: default+custom merge, Azure/AzureAssistants/ Anthropic Vertex/Bedrock config enrichment, assistants version coercion, agents allowedProviders, req.config bypass Plugins/tools efficiency: - Use Set for includedTools/filteredTools lookups (O(1) vs O(n) per plugin) - Combine auth check + filter into single pass (eliminates intermediate array) - Pre-compute toolDefKeys Set for O(1) tool definition lookups * fix: Scope model query cache by user when userIdQuery is enabled * fix: Skip model cache for userIdQuery endpoints, fix endpoints test types - When userIdQuery is true, skip caching entirely (like user_provided keys) to avoid cross-user model list leakage without duplicating cache data - Fix AgentCapabilities type error in endpoints.spec.ts — use enum values and appConfig() helper for partial mock typing * 🐛 fix: Restore filteredTools+includedTools composition, add checkCapability tests - Fix filteredTools regression: whitelist and blacklist are now applied independently (two flat guards), matching original behavior where includedTools=['a','b'] + filteredTools=['b'] produces ['a'] (Finding A) - Fix Set spread in toolkit loop: pre-compute toolDefKeysList array once alongside the Set, reuse for .some() without per-plugin allocation (Finding B) - Add 2 filteredTools tests: blacklist-only path and combined whitelist+blacklist composition (Finding C) - Add 3 checkCapability tests: capability present, capability absent, fallback to defaultAgentCapabilities for non-agents endpoints (Finding D) * 🔑 fix: Include config-override MCP servers in filterAuthorizedTools Config-override MCP servers (defined via admin config overrides for roles/groups) were rejected by filterAuthorizedTools because it called getAllServerConfigs(userId) without the configServers parameter. Only YAML and DB-backed user servers were included in the access check. - Add configServers parameter to filterAuthorizedTools - Resolve config servers via resolveConfigServers(req) at all 4 callsites (create, update, duplicate, revert) using parallel Promise.all - Pass configServers through to getAllServerConfigs(userId, configServers) so the registry merges config-source servers into the access check - Update filterAuthorizedTools.spec.js mock for resolveConfigServers * fix: Skip model cache for userIdQuery endpoints, fix endpoints test types For user-provided key endpoints (userProvide: true), skip the full model list re-fetch during message validation — the user already selected from a list we served them, and re-fetching with skipCache:true on every message send is both slow and fragile (5s provider timeout = rejected model). Instead, validate the model string format only: - Must be a string, max 256 chars - Must match [a-zA-Z0-9][a-zA-Z0-9_.:\-/@+ ]* (covers all known provider model ID formats while rejecting injection attempts) System-configured endpoints still get full model list validation as before. * 🧪 test: Add regression tests for filterAuthorizedTools configServers and validateModel filterAuthorizedTools: - Add test verifying configServers is passed to getAllServerConfigs and config-override server tools are allowed through - Guard resolveConfigServers in createAgentHandler to only run when MCP tools are present (skip for tool-free agent creates) validateModel (12 new tests): - Format validation: missing model, non-string, length overflow, leading special char, script injection, standard model ID acceptance - userProvide early-return: next() called immediately, getModelsConfig not invoked (regression guard for the exact bug this fixes) - System endpoint list validation: reject unknown model, accept known model, handle null/missing models config Also fix unnecessary backslash escape in MODEL_PATTERN regex. * 🧹 fix: Remove space from MODEL_PATTERN, trim input, clean up nits - Remove space character from MODEL_PATTERN regex — no real model ID uses spaces; prevents spurious violation logs from whitespace artifacts - Add model.trim() before validation to handle accidental whitespace - Remove redundant filterUniquePlugins call on already-deduplicated output - Add comment documenting intentional whitelist+blacklist composition - Add getUserKeyValues.mockReset() in loadConfigModels.spec beforeEach - Remove narrating JSDoc from getModelsConfig one-liner - Add 2 tests: trim whitespace handling, reject spaces in model ID * fix: Match startup tool loader semantics — includedTools takes precedence over filteredTools The startup tool loader (loadAndFormatTools) explicitly ignores filteredTools when includedTools is set, with a warning log. The PluginController was applying both independently, creating inconsistent behavior where the same config produced different results at startup vs plugin listing time. Restored mutually exclusive semantics: when includedTools is non-empty, filteredTools is not evaluated. * 🧹 chore: Simplify validateModel flow, note auth requirement on endpoints route - Separate missing-model from invalid-model checks cleanly: type+presence guard first, then trim+format guard (reviewer NIT) - Add route comment noting auth is required for role/tenant scoping * fix: Write trimmed model back to req.body.model for downstream consumers |
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🏗️ feat: 3-Tier MCP Server Architecture with Config-Source Lazy Init (#12435)
* feat: add MCPServerSource type, tenantMcpPolicy schema, and source-based dbSourced wiring
- Add `tenantMcpPolicy` to `mcpSettings` in YAML config schema with
`enabled`, `maxServersPerTenant`, `allowedTransports`, and `allowedDomains`
- Add `MCPServerSource` type ('yaml' | 'config' | 'user') and `source`
field to `ParsedServerConfig`
- Change `dbSourced` determination from `!!config.dbId` to
`config.source === 'user'` across MCPManager, ConnectionsRepository,
UserConnectionManager, and MCPServerInspector
- Set `source: 'user'` on all DB-sourced servers in ServerConfigsDB
* feat: three-layer MCPServersRegistry with config cache and lazy init
- Add `configCacheRepo` as third repository layer between YAML cache and
DB for admin-defined config-source MCP servers
- Implement `ensureConfigServers()` that identifies config-override servers
from resolved `getAppConfig()` mcpConfig, lazily inspects them, and
caches parsed configs with `source: 'config'`
- Add `lazyInitConfigServer()` with timeout, stub-on-failure, and
concurrent-init deduplication via `pendingConfigInits` map
- Extend `getAllServerConfigs()` with optional `configServers` param for
three-way merge: YAML → Config → User
- Add `getServerConfig()` lookup through config cache layer
- Add `invalidateConfigCache()` for clearing config-source inspection
results on admin config mutations
- Tag `source: 'yaml'` on CACHE-stored servers and `source: 'user'` on
DB-stored servers in `addServer()` and `addServerStub()`
* feat: wire tenant context into MCP controllers, services, and cache invalidation
- Resolve config-source servers via `getAppConfig({ role, tenantId })`
in `getMCPTools()` and `getMCPServersList()` controllers
- Pass `ensureConfigServers()` results through `getAllServerConfigs()`
for three-way merge of YAML + Config + User servers
- Add tenant/role context to `getMCPSetupData()` and connection status
routes via `getTenantId()` from ALS
- Add `clearMcpConfigCache()` to `invalidateConfigCaches()` so admin
config mutations trigger re-inspection of config-source MCP servers
* feat: enforce tenantMcpPolicy on admin config mcpServers mutations
- Add `validateMcpServerPolicy()` helper that checks mcpServers against
operator-defined `tenantMcpPolicy` (enabled, maxServersPerTenant,
allowedTransports, allowedDomains)
- Wire validation into `upsertConfigOverrides` and `patchConfigField`
handlers — rejects with 403 when policy is violated
- Infer transport type from config shape (command → stdio, url protocol
→ websocket/sse, type field → streamable-http)
- Validate server domains against policy allowlist when configured
* revert: remove tenantMcpPolicy schema and enforcement
The existing admin config CRUD routes already provide the mechanism
for granular MCP server prepopulation (groups, roles, users). The
tenantMcpPolicy gating adds unnecessary complexity that can be
revisited if needed in the future.
- Remove tenantMcpPolicy from mcpSettings Zod schema
- Remove validateMcpServerPolicy helper and TenantMcpPolicy interface
- Remove policy enforcement from upsertConfigOverrides and
patchConfigField handlers
* test: update test assertions for source field and config-server wiring
- Use objectContaining in MCPServersRegistry reset test to account for
new source: 'yaml' field on CACHE-stored configs
- Add getTenantId and ensureConfigServers mocks to MCP route tests
- Add getAppConfig mock to route test Config service mock
- Update getMCPSetupData assertion to expect second options argument
- Update getAllServerConfigs assertions for new configServers parameter
* fix: disconnect active connections when config-source servers are evicted
When admin config overrides change and config-source MCP servers are
removed, the invalidation now proactively disconnects active connections
for evicted servers instead of leaving them lingering until timeout.
- Return evicted server names from invalidateConfigCache()
- Disconnect app-level connections for evicted servers in
clearMcpConfigCache() via MCPManager.appConnections.disconnect()
* fix: address code review findings (CRITICAL, MAJOR, MINOR)
CRITICAL fixes:
- Scope configCacheRepo keys by config content hash to prevent
cross-tenant cache poisoning when two tenants define the same
server name with different configurations
- Change dbSourced checks from `source === 'user'` to
`source !== 'yaml' && source !== 'config'` so undefined source
(pre-upgrade cached configs) fails closed to restricted mode
MAJOR fixes:
- Derive OAuth servers from already-computed mcpConfig instead of
calling getOAuthServers() separately — config-source OAuth servers
are now properly detected
- Add parseInt radix (10) and NaN guard with fallback to 30_000
for CONFIG_SERVER_INIT_TIMEOUT_MS
- Add CONFIG_CACHE_NAMESPACE to aggregate-key branch in
ServerConfigsCacheFactory to avoid SCAN-based Redis stalls
- Remove `if (role || tenantId)` guard in getMCPSetupData — config
servers now always resolve regardless of tenant context
MINOR fixes:
- Extract resolveAllMcpConfigs() helper in mcp controller to
eliminate 3x copy-pasted config resolution boilerplate
- Distinguish "not initialized" from real errors in
clearMcpConfigCache — log actual failures instead of swallowing
- Remove narrative inline comments per style guide
- Remove dead try/catch inside Promise.allSettled in
ensureConfigServers (inner method never throws)
- Memoize YAML server names to avoid repeated cacheConfigsRepo.getAll()
calls per request
Test updates:
- Add ensureConfigServers mock to registry test fixtures
- Update getMCPSetupData assertions for inline OAuth derivation
* fix: address code review findings (CRITICAL, MAJOR, MINOR)
CRITICAL fixes:
- Break circular dependency: move CONFIG_CACHE_NAMESPACE from
MCPServersRegistry to ServerConfigsCacheFactory
- Fix dbSourced fail-closed: use source field when present, fall back to
legacy dbId check when absent (backward-compatible with pre-upgrade
cached configs that lack source field)
MAJOR fixes:
- Add CONFIG_CACHE_NAMESPACE to aggregate-key set in
ServerConfigsCacheFactory to avoid SCAN-based Redis stalls
- Add comprehensive test suite (ensureConfigServers.test.ts, 18 tests)
covering lazy init, stub-on-failure, cross-tenant isolation via config
hash keys, concurrent deduplication, merge order, and cache invalidation
MINOR fixes:
- Update MCPServerInspector test assertion for dbSourced change
* fix: restore getServerConfig lookup for config-source servers (NEW-1)
Add configNameToKey map that indexes server name → hash-based cache key
for O(1) lookup by name in getServerConfig. This restores the config
cache layer that was dropped when hash-based keys were introduced.
Without this fix, config-source servers appeared in tool listings
(via getAllServerConfigs) but getServerConfig returned undefined,
breaking all connection and tool call paths.
- Populate configNameToKey in ensureSingleConfigServer
- Clear configNameToKey in invalidateConfigCache and reset
- Clear stale read-through cache entries after lazy init
- Remove dead code in invalidateConfigCache (config.title, key parsing)
- Add getServerConfig tests for config-source server lookup
* fix: eliminate configNameToKey race via caller-provided configServers param
Replace the process-global configNameToKey map (last-writer-wins under
concurrent multi-tenant load) with a configServers parameter on
getServerConfig. Callers pass the pre-resolved config servers map
directly — no shared mutable state, no cross-tenant race.
- Add optional configServers param to getServerConfig; when provided,
returns matching config directly without any global lookup
- Remove configNameToKey map entirely (was the source of the race)
- Extract server names from cache keys via lastIndexOf in
invalidateConfigCache (safe for names containing colons)
- Use mcpConfig[serverName] directly in getMCPTools instead of a
redundant getServerConfig call
- Add cross-tenant isolation test for getServerConfig
* fix: populate read-through cache after config server lazy init
After lazyInitConfigServer succeeds, write the parsed config to
readThroughCache keyed by serverName so that getServerConfig calls
from ConnectionsRepository, UserConnectionManager, and
MCPManager.callTool find the config without needing configServers.
Without this, config-source servers appeared in tool listings but
every connection attempt and tool call returned undefined.
* fix: user-scoped getServerConfig fallback to server-only cache key
When getServerConfig is called with a userId (e.g., from callTool or
UserConnectionManager), the cache key is serverName::userId. Config-source
servers are cached under the server-only key (no userId). Add a fallback
so user-scoped lookups find config-source servers in the read-through cache.
* fix: configCacheRepo fallback, isUserSourced DRY, cross-process race
CRITICAL: Add findInConfigCache fallback in getServerConfig so
config-source servers remain reachable after readThroughCache TTL
expires (5s). Without this, every tool call after 5s returned
undefined for config-source servers.
MAJOR: Extract isUserSourced() helper to mcp/utils.ts and replace
all 5 inline dbSourced ternary expressions (MCPManager x2,
ConnectionsRepository, UserConnectionManager, MCPServerInspector).
MAJOR: Fix cross-process Redis race in lazyInitConfigServer — when
configCacheRepo.add throws (key exists from another process), fall
back to reading the existing entry instead of returning undefined.
MINOR: Parallelize invalidateConfigCache awaits with Promise.all.
Remove redundant .catch(() => {}) inside Promise.allSettled.
Tighten dedup test assertion to toBe(1).
Add TTL-expiry tests for getServerConfig (with and without userId).
* feat: thread configServers through getAppToolFunctions and formatInstructionsForContext
Add optional configServers parameter to getAppToolFunctions,
getInstructions, and formatInstructionsForContext so config-source
server tools and instructions are visible to agent initialization
and context injection paths.
Existing callers (boot-time init, tests) pass no argument and
continue to work unchanged. Agent runtime paths can now thread
resolved config servers from request context.
* fix: stale failure stubs retry after 5 min, upsert for cross-process races
- Add CONFIG_STUB_RETRY_MS (5 min) — stale failure stubs are retried
instead of permanently disabling config-source servers after transient
errors (DNS outage, cold-start race)
- Extract upsertConfigCache() helper that tries add then falls back to
update, preventing cross-process Redis races where a second instance's
successful inspection result was discarded
- Add test for stale-stub retry after CONFIG_STUB_RETRY_MS
* fix: stamp updatedAt on failure stubs, null-guard callTool config, test cleanup
- Add updatedAt: Date.now() to failure stubs in lazyInitConfigServer so
CONFIG_STUB_RETRY_MS (5 min) window works correctly — without it, stubs
were always considered stale (updatedAt ?? 0 → epoch → always expired)
- Add null guard for rawConfig in MCPManager.callTool before passing to
preProcessGraphTokens — prevents unsafe `as` cast on undefined
- Log double-failure in upsertConfigCache instead of silently swallowing
- Replace module-scope Date.now monkey-patch with jest.useFakeTimers /
jest.setSystemTime / jest.useRealTimers in ensureConfigServers tests
* fix: server-only readThrough fallback only returns truthy values
Prevents a cached undefined from a prior no-userId lookup from
short-circuiting the DB query on a subsequent userId-scoped lookup.
* fix: remove findInConfigCache to eliminate cross-tenant config leakage
The findInConfigCache prefix scan (serverName:*) could return any
tenant's config after readThrough TTL expires, violating tenant
isolation. Config-source servers are now ONLY resolvable through:
1. The configServers param (callers with tenant context from ALS)
2. The readThrough cache (populated by ensureSingleConfigServer,
5s TTL, repopulated on every HTTP request via resolveAllMcpConfigs)
Connection/tool-call paths without tenant context rely exclusively on
the readThrough cache. If it expires before the next HTTP request
repopulates it, the server is not found — which is correct because
there is no tenant context to determine which config to return.
- Remove findInConfigCache method and its call in getServerConfig
- Update server-only readThrough fallback to only return truthy values
(prevents cached undefined from short-circuiting user-scoped DB lookup)
- Update tests to document tenant isolation behavior after cache expiry
* style: fix import order per AGENTS.md conventions
Sort package imports shortest-to-longest, local imports longest-to-shortest
across MCPServersRegistry, ConnectionsRepository, MCPManager,
UserConnectionManager, and MCPServerInspector.
* fix: eliminate cross-tenant readThrough contamination and TTL-expiry tool failures
Thread pre-resolved serverConfig from tool creation context into
callTool, removing dependency on the readThrough cache for config-source
servers. This fixes two issues:
- Cross-tenant contamination: the readThrough cache key was unscoped
(just serverName), so concurrent multi-tenant requests for same-named
servers would overwrite each other's entries
- TTL expiry: tool calls happening >5s after config resolution would
fail with "Configuration not found" because the readThrough entry
had expired
Changes:
- Add optional serverConfig param to MCPManager.callTool — uses
provided config directly, falling back to getServerConfig lookup
for YAML/user servers
- Thread serverConfig from createMCPTool through createToolInstance
closure to callTool
- Remove readThrough write from ensureSingleConfigServer — config-source
servers are only accessible via configServers param (tenant-scoped)
- Remove server-only readThrough fallback from getServerConfig
- Increase config cache hash from 8 to 16 hex chars (64-bit)
- Add isUserSourced boundary tests for all source/dbId combinations
- Fix double Object.keys call in getMCPTools controller
- Update test assertions for new getServerConfig behavior
* fix: cache base configs for config-server users; narrow upsertConfigCache error handling
- Refactor getAllServerConfigs to separate base config fetch (YAML + DB)
from config-server layering. Base configs are cached via readThroughCacheAll
regardless of whether configServers is provided, eliminating uncached
MongoDB queries per request for config-server users
- Narrow upsertConfigCache catch to duplicate-key errors only;
infrastructure errors (Redis timeouts, network failures) now propagate
instead of being silently swallowed, preventing inspection storms
during outages
* fix: restore correct merge order and document upsert error matching
- Restore YAML → Config → User DB precedence in getAllServerConfigs
(user DB servers have highest precedence, matching the JSDoc contract)
- Add source comment on upsertConfigCache duplicate-key detection
linking to the two cache implementations that define the error message
* feat: complete config-source server support across all execution paths
Wire configServers through the entire agent execution pipeline so
config-source MCP servers are fully functional — not just visible in
listings but executable in agent sessions.
- Thread configServers into handleTools.js agent tool pipeline: resolve
config servers from tenant context before MCP tool iteration, pass to
getServerConfig, createMCPTools, and createMCPTool
- Thread configServers into agent instructions pipeline:
applyContextToAgent → getMCPInstructionsForServers →
formatInstructionsForContext, resolved in client.js before agent
context application
- Add configServers param to createMCPTool and createMCPTools for
reconnect path fallback
- Add source field to redactServerSecrets allowlist for client UI
differentiation of server tiers
- Narrow invalidateConfigCache to only clear readThroughCacheAll (merged
results), preserving YAML individual-server readThrough entries
- Update context.spec.ts assertions for new configServers parameter
* fix: add missing mocks for config-source server dependencies in client.test.js
Mock getMCPServersRegistry, getAppConfig, and getTenantId that were added
to client.js but not reflected in the test file's jest.mock declarations.
* fix: update formatInstructionsForContext assertions for configServers param
The test assertions expected formatInstructionsForContext to be called with
only the server names array, but it now receives configServers as a second
argument after the config-source server feature wiring.
* fix: move configServers resolution before MCP tool loop to avoid TDZ
configServers was declared with `let` after the first tool loop but
referenced inside it via getServerConfig(), causing a ReferenceError
temporal dead zone. Move declaration and resolution before the loop,
using tools.some(mcpToolPattern) to gate the async resolution.
* fix: address review findings — cache bypass, discoverServerTools gap, DRY
- #2: getAllServerConfigs now always uses getBaseServerConfigs (cached via
readThroughCacheAll) instead of bypassing it when configServers is present.
Extracts user-DB entries from cached base by diffing against YAML keys
to maintain YAML → Config → User DB merge order without extra MongoDB calls.
- #3: Add configServers param to ToolDiscoveryOptions and thread it through
discoverServerTools → getServerConfig so config-source servers are
discoverable during OAuth reconnection flows.
- #6: Replace inline import() type annotations in context.ts with proper
import type { ParsedServerConfig } per AGENTS.md conventions.
- #7: Extract resolveConfigServers(req) helper in MCP.js and use it from
handleTools.js and client.js, eliminating the duplicated 6-line config
resolution pattern.
- #10: Restore removed "why" comment explaining getLoaded() vs getAll()
choice in getMCPSetupData — documents non-obvious correctness constraint.
- #11: Fix incomplete JSDoc param type on resolveAllMcpConfigs.
* fix: consolidate imports, reorder constants, fix YAML-DB merge edge case
- Merge duplicate @librechat/data-schemas requires in MCP.js into one
- Move resolveConfigServers after module-level constants
- Fix getAllServerConfigs edge case where user-DB entry overriding a
YAML entry with the same name was excluded from userDbConfigs; now
uses reference equality check to detect DB-overwritten YAML keys
* fix: replace fragile string-match error detection with proper upsert method
Add upsert() to IServerConfigsRepositoryInterface and all implementations
(InMemory, Redis, RedisAggregateKey, DB). This eliminates the brittle
error message string match ('already exists in cache') in upsertConfigCache
that was the only thing preventing cross-process init races from silently
discarding inspection results.
Each implementation handles add-or-update atomically:
- InMemory: direct Map.set()
- Redis: direct cache.set()
- RedisAggregateKey: read-modify-write under write lock
- DB: delegates to update() (DB servers use explicit add() with ACL setup)
* fix: wire configServers through remaining HTTP endpoints
- getMCPServerById: use resolveAllMcpConfigs instead of bare getServerConfig
- reinitialize route: resolve configServers before getServerConfig
- auth-values route: resolve configServers before getServerConfig
- getOAuthHeaders: accept configServers param, thread from callers
- Update mcp.spec.js tests to mock getAllServerConfigs for GET by name
* fix: thread serverConfig through getConnection for config-source servers
Config-source servers exist only in configCacheRepo, not in YAML cache or
DB. When callTool → getConnection → getUserConnection → getServerConfig
runs without configServers, it returns undefined and throws. Fix by
threading the pre-resolved serverConfig (providedConfig) from callTool
through getConnection → getUserConnection → createUserConnectionInternal,
using it as a fallback before the registry lookup.
* fix: thread configServers through reinit, reconnect, and tool definition paths
Wire configServers through every remaining call chain that creates or
reconnects MCP server connections:
- reinitMCPServer: accepts serverConfig and configServers, uses them for
getServerConfig fallback, getConnection, and discoverServerTools
- reconnectServer: accepts and passes configServers to reinitMCPServer
- createMCPTools/createMCPTool: pass configServers to reconnectServer
- ToolService.loadToolDefinitionsWrapper: resolves configServers from req,
passes to both reinitMCPServer call sites
- reinitialize route: passes serverConfig and configServers to reinitMCPServer
* fix: address review findings — simplify merge, harden error paths, fix log labels
- Simplify getAllServerConfigs merge: replace fragile reference-equality
loop with direct spread { ...yamlConfigs, ...configServers, ...base }
- Guard upsertConfigCache in lazyInitConfigServer catch block so cache
failures don't mask the original inspection error
- Deduplicate getYamlServerNames cold-start with promise dedup pattern
- Remove dead `if (!mcpConfig)` guard in getMCPSetupData
- Fix hardcoded "App server" in ServerConfigsCacheRedisAggregateKey error
messages — now uses this.namespace for correct Config/App labeling
- Remove misleading OAuth callback comment about readThrough cache
- Move resolveConfigServers after module-level constants in MCP.js
* fix: clear rejected yamlServerNames promise, fix config-source reinspect, fix reset log label
- Clear yamlServerNamesPromise on rejection so transient cache errors
don't permanently prevent ensureConfigServers from working
- Skip reinspectServer for config-source servers (source: 'config') in
reinitMCPServer — they lack a CACHE/DB storage location; retry is
handled by CONFIG_STUB_RETRY_MS in ensureConfigServers
- Use source field instead of dbId for storageLocation derivation
- Fix remaining hardcoded "App" in reset() leaderCheck message
* fix: persist oauthHeaders in flow state for config-source OAuth servers
The OAuth callback route has no JWT auth context and cannot resolve
config-source server configs. Previously, getOAuthHeaders would silently
return {} for config-source servers, dropping custom token exchange headers.
Now oauthHeaders are persisted in MCPOAuthFlowMetadata during flow
initiation (which has auth context), and the callback reads them from
the stored flow state with a fallback to the registry lookup for
YAML/user-DB servers.
* fix: update tests for getMCPSetupData null guard removal and ToolService mock
- MCP.spec.js: update test to expect graceful handling of null mcpConfig
instead of a throw (getAllServerConfigs always returns an object)
- MCP.js: add defensive || {} for Object.entries(mcpConfig) in case of
null from test mocks
- ToolService.spec.js: add missing mock for ~/server/services/MCP
(resolveConfigServers)
* fix: address review findings — DRY, naming, logging, dead code, defensive guards
- #1: Simplify getAllServerConfigs to single getBaseServerConfigs call,
eliminating redundant double-fetch of cacheConfigsRepo.getAll()
- #2: Add warning log when oauthHeaders absent from OAuth callback flow state
- #3: Extract resolveAllMcpConfigs to MCP.js service layer; controller
imports shared helper instead of reimplementing
- #4: Rename _serverConfig/_provider to capturedServerConfig/capturedProvider
in createToolInstance — these are actively used, not unused
- #5: Log rejected results from ensureConfigServers Promise.allSettled
so cache errors are visible instead of silently dropped
- #6: Remove dead 'MCP config not found' error handlers from routes
- #7: Document circular-dependency reason for dynamic require in clearMcpConfigCache
- #8: Remove logger.error from withTimeout to prevent double-logging timeouts
- #10: Add explicit userId guard in ServerConfigsDB.upsert with clear error message
- #12: Use spread instead of mutation in addServer for immutability consistency
- Add upsert mock to ensureConfigServers.test.ts DB mock
- Update route tests for resolveAllMcpConfigs import change
* fix: restore correct merge priority, use immutable spread, fix test mock
- getAllServerConfigs: { ...configServers, ...base } so userDB wins over
configServers, matching documented "User DB (highest)" priority
- lazyInitConfigServer: use immutable spread instead of direct mutation
for parsedConfig.source, consistent with addServer fix
- Fix test to mock getAllServerConfigs as {} instead of null, remove
unnecessary || {} defensive guard in getMCPSetupData
* fix: error handling, stable hashing, flatten nesting, remove dead param
- Wrap resolveConfigServers/resolveAllMcpConfigs in try/catch with
graceful {} fallback so transient DB/cache errors don't crash tool pipeline
- Sort keys in configCacheKey JSON.stringify for deterministic hashing
regardless of object property insertion order
- Flatten clearMcpConfigCache from 3 nested try-catch to early returns;
document that user connections are cleaned up lazily (accepted tradeoff)
- Remove dead configServers param from getAppToolFunctions (never passed)
- Add security rationale comment for source field in redactServerSecrets
* fix: use recursive key-sorting replacer in configCacheKey to prevent cross-tenant cache collision
The array replacer in JSON.stringify acts as a property allowlist at
every nesting depth, silently dropping nested keys like headers['X-API-Key'],
oauth.client_secret, etc. Two configs with different nested values but
identical top-level structure produced the same hash, causing cross-tenant
cache hits and potential credential contamination.
Switch to a function replacer that recursively sorts keys at all depths
without dropping any properties.
Also document the known gap in getOAuthServers: config-source OAuth
servers are not covered by auto-reconnection or uninstall cleanup
because callers lack request context.
* fix: move clearMcpConfigCache to packages/api to eliminate circular dependency
The function only depends on MCPServersRegistry and MCPManager, both of
which live in packages/api. Import it directly from @librechat/api in
the CJS layer instead of using dynamic require('~/config').
* chore: imports/fields ordering
* fix: address review findings — error handling, targeted lookup, test gaps
- Narrow resolveAllMcpConfigs catch to only wrap ensureConfigServers so
getAppConfig/getAllServerConfigs failures propagate instead of masking
infrastructure errors as empty server lists.
- Use targeted getServerConfig in getMCPServerById instead of fetching
all server configs for a single-server lookup.
- Forward configServers to inner createMCPTool calls so reconnect path
works for config-source servers.
- Update getAllServerConfigs JSDoc to document disjoint-key design.
- Add OAuth callback oauthHeaders fallback tests (flow state present
vs registry fallback).
- Add resolveConfigServers/resolveAllMcpConfigs unit tests covering
happy path and error propagation.
* fix: add getOAuthReconnectionManager mock to OAuth callback tests
* chore: imports ordering
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⚗️ feat: Agent Context Compaction/Summarization (#12287)
* chore: imports/types
Add summarization config and package-level summarize handler contracts
Register summarize handlers across server controller paths
Port cursor dual-read/dual-write summary support and UI status handling
Selectively merge cursor branch files for BaseClient summary content
block detection (last-summary-wins), dual-write persistence, summary
block unit tests, and on_summarize_status SSE event handling with
started/completed/failed branches.
Co-authored-by: Cursor <cursoragent@cursor.com>
refactor: type safety
feat: add localization for summarization status messages
refactor: optimize summary block detection in BaseClient
Updated the logic for identifying existing summary content blocks to use a reverse loop for improved efficiency. Added a new test case to ensure the last summary content block is updated correctly when multiple summary blocks exist.
chore: add runName to chainOptions in AgentClient
refactor: streamline summarization configuration and handler integration
Removed the deprecated summarizeNotConfigured function and replaced it with a more flexible createSummarizeFn. Updated the summarization handler setup across various controllers to utilize the new function, enhancing error handling and configuration resolution. Improved overall code clarity and maintainability by consolidating summarization logic.
feat(summarization): add staged chunk-and-merge fallback
feat(usage): track summarization usage separately from messages
feat(summarization): resolve prompt from config in runtime
fix(endpoints): use @librechat/api provider config loader
refactor(agents): import getProviderConfig from @librechat/api
chore: code order
feat(app-config): auto-enable summarization when configured
feat: summarization config
refactor(summarization): streamline persist summary handling and enhance configuration validation
Removed the deprecated createDeferredPersistSummary function and integrated a new createPersistSummary function for MongoDB persistence. Updated summarization handlers across various controllers to utilize the new persistence method. Enhanced validation for summarization configuration to ensure provider, model, and prompt are properly set, improving error handling and overall robustness.
refactor(summarization): update event handling and remove legacy summarize handlers
Replaced the deprecated summarization handlers with new event-driven handlers for summarization start and completion across multiple controllers. This change enhances the clarity of the summarization process and improves the integration of summarization events in the application. Additionally, removed unused summarization functions and streamlined the configuration loading process.
refactor(summarization): standardize event names in handlers
Updated event names in the summarization handlers to use constants from GraphEvents for consistency and clarity. This change improves maintainability and reduces the risk of errors related to string literals in event handling.
feat(summarization): enhance usage tracking for summarization events
Added logic to track summarization usage in multiple controllers by checking the current node type. If the node indicates a summarization task, the usage type is set accordingly. This change improves the granularity of usage data collected during summarization processes.
feat(summarization): integrate SummarizationConfig into AppSummarizationConfig type
Enhanced the AppSummarizationConfig type by extending it with the SummarizationConfig type from librechat-data-provider. This change improves type safety and consistency in the summarization configuration structure.
test: add end-to-end tests for summarization functionality
Introduced a comprehensive suite of end-to-end tests for the summarization feature, covering the full LibreChat pipeline from message creation to summarization. This includes a new setup file for environment configuration and a Jest configuration specifically for E2E tests. The tests utilize real API keys and ensure proper integration with the summarization process, enhancing overall test coverage and reliability.
refactor(summarization): include initial summary in formatAgentMessages output
Updated the formatAgentMessages function to return an initial summary alongside messages and index token count map. This change is reflected in multiple controllers and the corresponding tests, enhancing the summarization process by providing additional context for each agent's response.
refactor: move hydrateMissingIndexTokenCounts to tokenMap utility
Extracted the hydrateMissingIndexTokenCounts function from the AgentClient and related tests into a new tokenMap utility file. This change improves code organization and reusability, allowing for better management of token counting logic across the application.
refactor(summarization): standardize step event handling and improve summary rendering
Refactored the step event handling in the useStepHandler and related components to utilize constants for event names, enhancing consistency and maintainability. Additionally, improved the rendering logic in the Summary component to conditionally display the summary text based on its availability, providing a better user experience during the summarization process.
feat(summarization): introduce baseContextTokens and reserveTokensRatio for improved context management
Added baseContextTokens to the InitializedAgent type to calculate the context budget based on agentMaxContextNum and maxOutputTokensNum. Implemented reserveTokensRatio in the createRun function to allow configurable context token management. Updated related tests to validate these changes and ensure proper functionality.
feat(summarization): add minReserveTokens, context pruning, and overflow recovery configurations
Introduced new configuration options for summarization, including minReserveTokens, context pruning settings, and overflow recovery parameters. Updated the createRun function to accommodate these new options and added a comprehensive test suite to validate their functionality and integration within the summarization process.
feat(summarization): add updatePrompt and reserveTokensRatio to summarization configuration
Introduced an updatePrompt field for updating existing summaries with new messages, enhancing the flexibility of the summarization process. Additionally, added reserveTokensRatio to the configuration schema, allowing for improved management of token allocation during summarization. Updated related tests to validate these new features.
feat(logging): add on_agent_log event handler for structured logging
Implemented an on_agent_log event handler in both the agents' callbacks and responses to facilitate structured logging of agent activities. This enhancement allows for better tracking and debugging of agent interactions by logging messages with associated metadata. Updated the summarization process to ensure proper handling of log events.
fix: remove duplicate IBalanceUpdate interface declaration
perf(usage): single-pass partition of collectedUsage
Replace two Array.filter() passes with a single for-of loop that
partitions message vs. summarization usages in one iteration.
fix(BaseClient): shallow-copy message content before mutating and preserve string content
Avoid mutating the original message.content array in-place when
appending a summary block. Also convert string content to a text
content part instead of silently discarding it.
fix(ui): fix Part.tsx indentation and useStepHandler summarize-complete handling
- Fix SUMMARY else-if branch indentation in Part.tsx to match chain level
- Guard ON_SUMMARIZE_COMPLETE with didFinalize flag to avoid unnecessary
re-renders when no summarizing parts exist
- Protect against undefined completeData.summary instead of unsafe spread
fix(agents): use strict enabled check for summarization handlers
Change summarizationConfig?.enabled !== false to === true so handlers
are not registered when summarizationConfig is undefined.
chore: fix initializeClient JSDoc and move DEFAULT_RESERVE_RATIO to module scope
refactor(Summary): align collapse/expand behavior with Reasoning component
- Single render path instead of separate streaming vs completed branches
- Use useMessageContext for isSubmitting/isLatestMessage awareness so
the "Summarizing..." label only shows during active streaming
- Default to collapsed (matching Reasoning), user toggles to expand
- Add proper aria attributes (aria-hidden, role, aria-controls, contentId)
- Hide copy button while actively streaming
feat(summarization): default to self-summarize using agent's own provider/model
When no summarization config is provided (neither in librechat.yaml nor
on the agent), automatically enable summarization using the agent's own
provider and model. The agents package already provides default prompts,
so no prompt configuration is needed.
Also removes the dead resolveSummarizationLLMConfig in summarize.ts
(and its spec) — run.ts buildAgentContext is the single source of truth
for summarization config resolution. Removes the duplicate
RuntimeSummarizationConfig local type in favor of the canonical
SummarizationConfig from data-provider.
chore: schema and type cleanup for summarization
- Add trigger field to summarizationAgentOverrideSchema so per-agent
trigger overrides in librechat.yaml are not silently stripped by Zod
- Remove unused SummarizationStatus type from runs.ts
- Make AppSummarizationConfig.enabled non-optional to reflect the
invariant that loadSummarizationConfig always sets it
refactor(responses): extract duplicated on_agent_log handler
refactor(run): use agents package types for summarization config
Import SummarizationConfig, ContextPruningConfig, and
OverflowRecoveryConfig from @librechat/agents and use them to
type-check the translation layer in buildAgentContext. This ensures
the config object passed to the agent graph matches what it expects.
- Use `satisfies AgentSummarizationConfig` on the config object
- Cast contextPruningConfig and overflowRecoveryConfig to agents types
- Properly narrow trigger fields from DeepPartial to required shape
feat(config): add maxToolResultChars to base endpoint schema
Add maxToolResultChars to baseEndpointSchema so it can be configured
on any endpoint in librechat.yaml. Resolved during agent initialization
using getProviderConfig's endpoint resolution: custom endpoint config
takes precedence, then the provider-specific endpoint config, then the
shared `all` config.
Passed through to the agents package ToolNode, which uses it to cap
tool result length before it enters the context window. When not
configured, the agents package computes a sensible default from
maxContextTokens.
fix(summarization): forward agent model_parameters in self-summarize default
When no explicit summarization config exists, the self-summarize
default now forwards the agent's model_parameters as the
summarization parameters. This ensures provider-specific settings
(e.g. Bedrock region, credentials, endpoint host) are available
when the agents package constructs the summarization LLM.
fix(agents): register summarization handlers by default
Change the enabled gate from === true to !== false so handlers
register when no explicit summarization config exists. This aligns
with the self-summarize default where summarization is always on
unless explicitly disabled via enabled: false.
refactor(summarization): let agents package inherit clientOptions for self-summarize
Remove model_parameters forwarding from the self-summarize default.
The agents package now reuses the agent's own clientOptions when the
summarization provider matches the agent's provider, inheriting all
provider-specific settings (region, credentials, proxy, etc.)
automatically.
refactor(summarization): use MessageContentComplex[] for summary content
Unify summary content to always use MessageContentComplex[] arrays,
matching the pattern used by on_message_delta. No more string | array
unions — content is always an array of typed blocks ({ type: 'text',
text: '...' } for text, { type: 'reasoning_content', ... } for
reasoning).
Agents package:
- SummaryContentBlock.content: MessageContentComplex[] (was string)
- tokenCount now optional (not sent on deltas)
- Removed reasoning field — reasoning is now a content block type
- streamAndCollect normalizes all chunks to content block arrays
- Delta events pass content blocks directly
LibreChat:
- SummaryContentPart.content: Agents.MessageContentComplex[]
- Updated Part.tsx, Summary.tsx, useStepHandler.ts, BaseClient.js
- Summary.tsx derives display text from content blocks via useMemo
- Aggregator uses simple array spread
refactor(summarization): enhance summary handling and text extraction
- Updated BaseClient.js to improve summary text extraction, accommodating both legacy and new content formats.
- Modified summarization logic to ensure consistent handling of summary content across different message formats.
- Adjusted test cases in summarization.e2e.spec.js to utilize the new summary text extraction method.
- Refined SSE useStepHandler to initialize summary content as an array.
- Updated configuration schema by removing unused minReserveTokens field.
- Cleaned up SummaryContentPart type by removing rangeHash property.
These changes streamline the summarization process and ensure compatibility with various content structures.
refactor(summarization): streamline usage tracking and logging
- Removed direct checks for summarization nodes in ModelEndHandler and replaced them with a dedicated markSummarizationUsage function for better readability and maintainability.
- Updated OpenAIChatCompletionController and responses handlers to utilize the new markSummarizationUsage function for setting usage types.
- Enhanced logging functionality by ensuring the logger correctly handles different log levels.
- Introduced a new useCopyToClipboard hook in the Summary component to encapsulate clipboard copy logic, improving code reusability and clarity.
These changes improve the overall structure and efficiency of the summarization handling and logging processes.
refactor(summarization): update summary content block documentation
- Removed outdated comment regarding the last summary content block in BaseClient.js.
- Added a new comment to clarify the purpose of the findSummaryContentBlock method, ensuring consistency in documentation.
These changes enhance code clarity and maintainability by providing accurate descriptions of the summarization logic.
refactor(summarization): update summary content structure in tests
- Modified the summarization content structure in e2e tests to use an array format for text, aligning with recent changes in summary handling.
- Updated test descriptions to clarify the behavior of context token calculations, ensuring consistency and clarity in the tests.
These changes enhance the accuracy and maintainability of the summarization tests by reflecting the updated content structure.
refactor(summarization): remove legacy E2E test setup and configuration
- Deleted the e2e-setup.js and jest.e2e.config.js files, which contained legacy configurations for E2E tests using real API keys.
- Introduced a new summarization.e2e.ts file that implements comprehensive E2E backend integration tests for the summarization process, utilizing real AI providers and tracking summaries throughout the run.
These changes streamline the testing framework by consolidating E2E tests into a single, more robust file while removing outdated configurations.
refactor(summarization): enhance E2E tests and error handling
- Added a cleanup step to force exit after all tests to manage Redis connections.
- Updated the summarization model to 'claude-haiku-4-5-20251001' for consistency across tests.
- Improved error handling in the processStream function to capture and return processing errors.
- Enhanced logging for cross-run tests and tight context scenarios to provide better insights into test execution.
These changes improve the reliability and clarity of the E2E tests for the summarization process.
refactor(summarization): enhance test coverage for maxContextTokens behavior
- Updated run-summarization.test.ts to include a new test case ensuring that maxContextTokens does not exceed user-defined limits, even when calculated ratios suggest otherwise.
- Modified summarization.e2e.ts to replace legacy UsageMetadata type with a more appropriate type for collectedUsage, improving type safety and clarity in the test setup.
These changes improve the robustness of the summarization tests by validating context token constraints and refining type definitions.
feat(summarization): add comprehensive E2E tests for summarization process
- Introduced a new summarization.e2e.test.ts file that implements extensive end-to-end integration tests for the summarization pipeline, covering the full flow from LibreChat to agents.
- The tests utilize real AI providers and include functionality to track summaries during and between runs.
- Added necessary cleanup steps to manage Redis connections post-tests and ensure proper exit.
These changes enhance the testing framework by providing robust coverage for the summarization process, ensuring reliability and performance under real-world conditions.
fix(service): import logger from winston configuration
- Removed the import statement for logger from '@librechat/data-schemas' and replaced it with an import from '~/config/winston'.
- This change ensures that the logger is correctly sourced from the updated configuration, improving consistency in logging practices across the application.
refactor(summary): simplify Summary component and enhance token display
- Removed the unused `meta` prop from the `SummaryButton` component to streamline its interface.
- Updated the token display logic to use a localized string for better internationalization support.
- Adjusted the rendering of the `meta` information to improve its visibility within the `Summary` component.
These changes enhance the clarity and usability of the Summary component while ensuring better localization practices.
feat(summarization): add maxInputTokens configuration for summarization
- Introduced a new `maxInputTokens` property in the summarization configuration schema to control the amount of conversation context sent to the summarizer, with a default value of 10000.
- Updated the `createRun` function to utilize the new `maxInputTokens` setting, allowing for more flexible summarization based on agent context.
These changes enhance the summarization capabilities by providing better control over input token limits, improving the overall summarization process.
refactor(summarization): simplify maxInputTokens logic in createRun function
- Updated the logic for the `maxInputTokens` property in the `createRun` function to directly use the agent's base context tokens when the resolved summarization configuration does not specify a value.
- This change streamlines the configuration process and enhances clarity in how input token limits are determined for summarization.
These modifications improve the maintainability of the summarization configuration by reducing complexity in the token calculation logic.
feat(summary): enhance Summary component to display meta information
- Updated the SummaryContent component to accept an optional `meta` prop, allowing for additional contextual information to be displayed above the main content.
- Adjusted the rendering logic in the Summary component to utilize the new `meta` prop, improving the visibility of supplementary details.
These changes enhance the user experience by providing more context within the Summary component, making it clearer and more informative.
refactor(summarization): standardize reserveRatio configuration in summarization logic
- Replaced instances of `reserveTokensRatio` with `reserveRatio` in the `createRun` function and related tests to unify the terminology across the codebase.
- Updated the summarization configuration schema to reflect this change, ensuring consistency in how the reserve ratio is defined and utilized.
- Removed the per-agent override logic for summarization configuration, simplifying the overall structure and enhancing clarity.
These modifications improve the maintainability and readability of the summarization logic by standardizing the configuration parameters.
* fix: circular dependency of `~/models`
* chore: update logging scope in agent log handlers
Changed log scope from `[agentus:${data.scope}]` to `[agents:${data.scope}]` in both the callbacks and responses controllers to ensure consistent logging format across the application.
* feat: calibration ratio
* refactor(tests): update summarizationConfig tests to reflect changes in enabled property
Modified tests to check for the new `summarizationEnabled` property instead of the deprecated `enabled` field in the summarization configuration. This change ensures that the tests accurately validate the current configuration structure and behavior of the agents.
* feat(tests): add markSummarizationUsage mock for improved test coverage
Introduced a mock for the markSummarizationUsage function in the responses unit tests to enhance the testing of summarization usage tracking. This addition supports better validation of summarization-related functionalities and ensures comprehensive test coverage for the agents' response handling.
* refactor(tests): simplify event handler setup in createResponse tests
Removed redundant mock implementations for event handlers in the createResponse unit tests, streamlining the setup process. This change enhances test clarity and maintainability while ensuring that the tests continue to validate the correct behavior of usage tracking during on_chat_model_end events.
* refactor(agents): move calibration ratio capture to finally block
Reorganized the logic for capturing the calibration ratio in the AgentClient class to ensure it is executed in the finally block. This change guarantees that the ratio is captured even if the run is aborted, enhancing the reliability of the response message persistence. Removed redundant code and improved clarity in the handling of context metadata.
* refactor(agents): streamline bulk write logic in recordCollectedUsage function
Removed redundant bulk write operations and consolidated document handling in the recordCollectedUsage function. The logic now combines all documents into a single bulk write operation, improving efficiency and reducing error handling complexity. Updated logging to provide consistent error messages for bulk write failures.
* refactor(agents): enhance summarization configuration resolution in createRun function
Streamlined the summarization configuration logic by introducing a base configuration and allowing for overrides from agent-specific settings. This change improves clarity and maintainability, ensuring that the summarization configuration is consistently applied while retaining flexibility for customization. Updated the handling of summarization parameters to ensure proper integration with the agent's model and provider settings.
* refactor(agents): remove unused tokenCountMap and streamline calibration ratio handling
Eliminated the unused tokenCountMap variable from the AgentClient class to enhance code clarity. Additionally, streamlined the logic for capturing the calibration ratio by using optional chaining and a fallback value, ensuring that context metadata is consistently defined. This change improves maintainability and reduces potential confusion in the codebase.
* refactor(agents): extract agent log handler for improved clarity and reusability
Refactored the agent log handling logic by extracting it into a dedicated function, `agentLogHandler`, enhancing code clarity and reusability across different modules. Updated the event handlers in both the OpenAI and responses controllers to utilize the new handler, ensuring consistent logging behavior throughout the application.
* test: add summarization event tests for useStepHandler
Implemented a series of tests for the summarization events in the useStepHandler hook. The tests cover scenarios for ON_SUMMARIZE_START, ON_SUMMARIZE_DELTA, and ON_SUMMARIZE_COMPLETE events, ensuring proper handling of summarization logic, including message accumulation and finalization. This addition enhances test coverage and validates the correct behavior of the summarization process within the application.
* refactor(config): update summarizationTriggerSchema to use enum for type validation
Changed the type of the `type` field in the summarizationTriggerSchema from a string to an enum with a single value 'token_count'. This modification enhances type safety and ensures that only valid types are accepted in the configuration, improving overall clarity and maintainability of the schema.
* test(usage): add bulk write tests for message and summarization usage
Implemented tests for the bulk write functionality in the recordCollectedUsage function, covering scenarios for combined message and summarization usage, summarization-only usage, and message-only usage. These tests ensure correct document handling and token rollup calculations, enhancing test coverage and validating the behavior of the usage tracking logic.
* refactor(Chat): enhance clipboard copy functionality and type definitions in Summary component
Updated the Summary component to improve the clipboard copy functionality by handling clipboard permission errors. Refactored type definitions for SummaryProps to use a more specific type, enhancing type safety. Adjusted the SummaryButton and FloatingSummaryBar components to accept isCopied and onCopy props, promoting better separation of concerns and reusability.
* chore(translations): remove unused "Expand Summary" key from English translations
Deleted the "Expand Summary" key from the English translation file to streamline the localization resources and improve clarity in the user interface. This change helps maintain an organized and efficient translation structure.
* refactor: adjust token counting for Claude model to account for API discrepancies
Implemented a correction factor for token counting when using the Claude model, addressing discrepancies between Anthropic's API and local tokenizer results. This change ensures accurate token counts by applying a scaling factor, improving the reliability of token-related functionalities.
* refactor(agents): implement token count adjustment for Claude model messages
Added a method to adjust token counts for messages processed by the Claude model, applying a correction factor to align with API expectations. This enhancement improves the accuracy of token counting, ensuring reliable functionality when interacting with the Claude model.
* refactor(agents): token counting for media content in messages
Introduced a new method to estimate token costs for image and document blocks in messages, improving the accuracy of token counting. This enhancement ensures that media content is properly accounted for, particularly for the Claude model, by integrating additional token estimation logic for various content types. Updated the token counting function to utilize this new method, enhancing overall reliability and functionality.
* chore: fix missing import
* fix(agents): clamp baseContextTokens and document reserve ratio change
Prevent negative baseContextTokens when maxOutputTokens exceeds the
context window (misconfigured models). Document the 10%→5% default
reserve ratio reduction introduced alongside summarization.
* fix(agents): include media tokens in hydrated token counts
Add estimateMediaTokensForMessage to createTokenCounter so the hydration
path (used by hydrateMissingIndexTokenCounts) matches the precomputed
path in AgentClient.getTokenCountForMessage. Without this, messages
containing images or documents were systematically undercounted during
hydration, risking context window overflow.
Add 34 unit tests covering all block-type branches of
estimateMediaTokensForMessage.
* fix(agents): include summarization output tokens in usage return value
The returned output_tokens from recordCollectedUsage now reflects all
billed LLM calls (message + summarization). Previously, summarization
completions were billed but excluded from the returned metadata, causing
a discrepancy between what users were charged and what the response
message reported.
* fix(tests): replace process.exit with proper Redis cleanup in e2e test
The summarization E2E test used process.exit(0) to work around a Redis
connection opened at import time, which killed the Jest runner and
bypassed teardown. Use ioredisClient.quit() and keyvRedisClient.disconnect()
for graceful cleanup instead.
* fix(tests): update getConvo imports in OpenAI and response tests
Refactor test files to import getConvo from the main models module instead of the Conversation submodule. This change ensures consistency across tests and simplifies the import structure, enhancing maintainability.
* fix(clients): improve summary text validation in BaseClient
Refactor the summary extraction logic to ensure that only non-empty summary texts are considered valid. This change enhances the robustness of the message processing by utilizing a dedicated method for summary text retrieval, improving overall reliability.
* fix(config): replace z.any() with explicit union in summarization schema
Model parameters (temperature, top_p, etc.) are constrained to
primitive types rather than the policy-violating z.any().
* refactor(agents): deduplicate CLAUDE_TOKEN_CORRECTION constant
Export from the TS source in packages/api and import in the JS client,
eliminating the static class property that could drift out of sync.
* refactor(agents): eliminate duplicate selfProvider in buildAgentContext
selfProvider and provider were derived from the same expression with
different type casts. Consolidated to a single provider variable.
* refactor(agents): extract shared SSE handlers and restrict log levels
- buildSummarizationHandlers() factory replaces triplicated handler
blocks across responses.js and openai.js
- agentLogHandlerObj exported from callbacks.js for consistent reuse
- agentLogHandler restricted to an allowlist of safe log levels
(debug, info, warn, error) instead of accepting arbitrary strings
* fix(SSE): batch summarize deltas, add exhaustiveness check, conditional error announcement
- ON_SUMMARIZE_DELTA coalesces rapid-fire renders via requestAnimationFrame
instead of calling setMessages per chunk
- Exhaustive never-check on TStepEvent catches unhandled variants at
compile time when new StepEvents are added
- ON_SUMMARIZE_COMPLETE error announcement only fires when a summary
part was actually present and removed
* feat(agents): persist instruction overhead in contextMeta and seed across runs
Extend contextMeta with instructionOverhead and toolCount so the
provider-observed instruction overhead is persisted on the response message
and seeded into the pruner on subsequent runs. This enables the pruner to
use a calibrated budget from the first call instead of waiting for a
provider observation, preventing the ratio collapse caused by local
tokenizer overestimating tool schema tokens.
The seeded overhead is only used when encoding and tool count match
between runs, ensuring stale values from different configurations
are discarded.
* test(agents): enhance OpenAI test mocks for summarization handlers
Updated the OpenAI test suite to include additional mock implementations for summarization handlers, including buildSummarizationHandlers, markSummarizationUsage, and agentLogHandlerObj. This improves test coverage and ensures consistent behavior during testing.
* fix(agents): address review findings for summarization v2
Cancel rAF on unmount to prevent stale Recoil writes from dead
component context. Clear orphaned summarizing:true parts when
ON_SUMMARIZE_COMPLETE arrives without a summary payload. Add null
guard and safe spread to agentLogHandler. Handle Anthropic-format
base64 image/* documents in estimateMediaTokensForMessage. Use
role="region" for expandable summary content. Add .describe() to
contextMeta Zod fields. Extract duplicate usage loop into helper.
* refactor: simplify contextMeta to calibrationRatio + encoding only
Remove instructionOverhead and toolCount from cross-run persistence —
instruction tokens change too frequently between runs (prompt edits,
tool changes) for a persisted seed to be reliable. The intra-run
calibration in the pruner still self-corrects via provider observations.
contextMeta now stores only the tokenizer-bias ratio and encoding,
which are stable across instruction changes.
* test(SSE): enhance useStepHandler tests for ON_SUMMARIZE_COMPLETE behavior
Updated the test for ON_SUMMARIZE_COMPLETE to clarify that it finalizes the existing part with summarizing set to false when the summary is undefined. Added assertions to verify the correct behavior of message updates and the state of summary parts.
* refactor(BaseClient): remove handleContextStrategy and truncateToolCallOutputs functions
Eliminated the handleContextStrategy method from BaseClient to streamline message handling. Also removed the truncateToolCallOutputs function from the prompts module, simplifying the codebase and improving maintainability.
* refactor: add AGENT_DEBUG_LOGGING option and refactor token count handling in BaseClient
Introduced AGENT_DEBUG_LOGGING to .env.example for enhanced debugging capabilities. Refactored token count handling in BaseClient by removing the handleTokenCountMap method and simplifying token count updates. Updated AgentClient to log detailed token count recalculations and adjustments, improving traceability during message processing.
* chore: update dependencies in package-lock.json and package.json files
Bumped versions of several dependencies, including @librechat/agents to ^3.1.62 and various AWS SDK packages to their latest versions. This ensures compatibility and incorporates the latest features and fixes.
* chore: imports order
* refactor: extract summarization config resolution from buildAgentContext
* refactor: rename and simplify summarization configuration shaping function
* refactor: replace AgentClient token counting methods with single-pass pure utility
Extract getTokenCount() and getTokenCountForMessage() from AgentClient
into countFormattedMessageTokens(), a pure function in packages/api that
handles text, tool_call, image, and document content types in one loop.
- Decompose estimateMediaTokensForMessage into block-level helpers
(estimateImageDataTokens, estimateImageBlockTokens, estimateDocumentBlockTokens)
shared by both estimateMediaTokensForMessage and the new single-pass function
- Remove redundant per-call getEncoding() resolution (closure captures once)
- Remove deprecated gpt-3.5-turbo-0301 model branching
- Drop this.getTokenCount guard from BaseClient.sendMessage
* refactor: streamline token counting in createTokenCounter function
Simplified the createTokenCounter function by removing the media token estimation and directly calculating the token count. This change enhances clarity and performance by consolidating the token counting logic into a single pass, while maintaining compatibility with Claude's token correction.
* refactor: simplify summarization configuration types
Removed the AppSummarizationConfig type and directly used SummarizationConfig in the AppConfig interface. This change streamlines the type definitions and enhances consistency across the codebase.
* chore: import order
* fix: summarization event handling in useStepHandler
- Cancel pending summarizeDeltaRaf in clearStepMaps to prevent stale
frames firing after map reset or component unmount
- Move announcePolite('summarize_completed') inside the didFinalize
guard so screen readers only announce when finalization actually occurs
- Remove dead cleanup closure returned from stepHandler useCallback body
that was never invoked by any caller
* fix: estimate tokens for non-PDF/non-image base64 document blocks
Previously estimateDocumentBlockTokens returned 0 for unrecognized MIME
types (e.g. text/plain, application/json), silently underestimating
context budget. Fall back to character-based heuristic or countTokens.
* refactor: return cloned usage from markSummarizationUsage
Avoid mutating LangChain's internal usage_metadata object by returning
a shallow clone with the usage_type tag. Update all call sites in
callbacks, openai, and responses controllers to use the returned value.
* refactor: consolidate debug logging loops in buildMessages
Merge the two sequential O(n) debug-logging passes over orderedMessages
into a single pass inside the map callback where all data is available.
* refactor: narrow SummaryContentPart.content type
Replace broad Agents.MessageContentComplex[] with the specific
Array<{ type: ContentTypes.TEXT; text: string }> that all producers
and consumers already use, improving compile-time safety.
* refactor: use single output array in recordCollectedUsage
Have processUsageGroup append to a shared array instead of returning
separate arrays that are spread into a third, reducing allocations.
* refactor: use for...in in hydrateMissingIndexTokenCounts
Replace Object.entries with for...in to avoid allocating an
intermediate tuple array during token map hydration.
|
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67db0c1cb3
|
🗑️ chore: Remove Action Test Suite and Update Mock Implementations (#12268)
- Deleted the Action test suite located in `api/models/Action.spec.js` to streamline the codebase. - Updated various test files to reflect changes in model mocks, consolidating mock implementations for user-related actions and enhancing clarity. - Improved consistency in test setups by aligning with the latest model updates and removing redundant mock definitions. |
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a0fed6173c
|
🗂️ refactor: Migrate S3 Storage to TypeScript in packages/api (#11947)
* Migrate S3 storage module with unit and integration tests - Migrate S3 CRUD and image operations to packages/api/src/storage/s3/ - Add S3ImageService class with dependency injection - Add unit tests using aws-sdk-client-mock - Add integration tests with real s3 bucket (condition presence of AWS_TEST_BUCKET_NAME) * AI Review Findings Fixes * chore: tests and refactor S3 storage types - Added mock implementations for the 'sharp' library in various test files to improve image processing testing. - Updated type references in S3 storage files from MongoFile to TFile for consistency and type safety. - Refactored S3 CRUD operations to ensure proper handling of file types and improve code clarity. - Enhanced integration tests to validate S3 file operations and error handling more effectively. * chore: rename test file * Remove duplicate import of refreshS3Url * chore: imports order * fix: remove duplicate imports for S3 URL handling in UserController * fix: remove duplicate import of refreshS3FileUrls in files.js * test: Add mock implementations for 'sharp' and '@librechat/api' in UserController tests - Introduced mock functions for the 'sharp' library to facilitate image processing tests, including metadata retrieval and buffer conversion. - Enhanced mocking for '@librechat/api' to ensure consistent behavior in tests, particularly for the needsRefresh and getNewS3URL functions. --------- Co-authored-by: Danny Avila <danny@librechat.ai> |
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0412f05daf
|
🪢 chore: Consolidate Pricing and Tx Imports After tx.js Module Removal (#12086)
* 🧹 chore: resolve imports due to rebase
* chore: Update model mocks in unit tests for consistency
- Consolidated model mock implementations across various test files to streamline setup and reduce redundancy.
- Removed duplicate mock definitions for `getMultiplier` and `getCacheMultiplier`, ensuring a unified approach in `recordCollectedUsage.spec.js`, `openai.spec.js`, `responses.unit.spec.js`, and `abortMiddleware.spec.js`.
- Enhanced clarity and maintainability of test files by aligning mock structures with the latest model updates.
* fix: Safeguard token credit checks in transaction tests
- Updated assertions in `transaction.spec.ts` to handle potential null values for `updatedBalance` by using optional chaining.
- Enhanced robustness of tests related to token credit calculations, ensuring they correctly account for scenarios where the balance may not be found.
* chore: transaction methods with bulk insert functionality
- Introduced `bulkInsertTransactions` method in `transaction.ts` to facilitate batch insertion of transaction documents.
- Updated test file `transactions.bulk-parity.spec.ts` to utilize new pricing function assignments and handle potential null values in calculations, improving test robustness.
- Refactored pricing function initialization for clarity and consistency.
* refactor: Enhance type definitions and introduce new utility functions for model matching
- Added `findMatchingPattern` and `matchModelName` utility functions to improve model name matching logic in transaction methods.
- Updated type definitions for `findMatchingPattern` to accept a more specific tokensMap structure, enhancing type safety.
- Refactored `dbMethods` initialization in `transactions.bulk-parity.spec.ts` to include the new utility functions, improving test clarity and functionality.
* refactor: Update database method imports and enhance transaction handling
- Refactored `abortMiddleware.js` to utilize centralized database methods for message handling and conversation retrieval, improving code consistency.
- Enhanced `bulkInsertTransactions` in `transaction.ts` to handle empty document arrays gracefully and added error logging for better debugging.
- Updated type definitions in `transactions.ts` to enforce stricter typing for token types, enhancing type safety across transaction methods.
- Improved test setup in `transactions.bulk-parity.spec.ts` by refining pricing function assignments and ensuring robust handling of potential null values.
* refactor: Update database method references and improve transaction multiplier handling
- Refactored `client.js` to update database method references for `bulkInsertTransactions` and `updateBalance`, ensuring consistency in method usage.
- Enhanced transaction multiplier calculations in `transaction.spec.ts` to provide fallback values for write and read multipliers, improving robustness in cost calculations across structured token spending tests.
|
||
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|
8ba2bde5c1
|
📦 refactor: Consolidate DB models, encapsulating Mongoose usage in data-schemas (#11830)
* chore: move database model methods to /packages/data-schemas * chore: add TypeScript ESLint rule to warn on unused variables * refactor: model imports to streamline access - Consolidated model imports across various files to improve code organization and reduce redundancy. - Updated imports for models such as Assistant, Message, Conversation, and others to a unified import path. - Adjusted middleware and service files to reflect the new import structure, ensuring functionality remains intact. - Enhanced test files to align with the new import paths, maintaining test coverage and integrity. * chore: migrate database models to packages/data-schemas and refactor all direct Mongoose Model usage outside of data-schemas * test: update agent model mocks in unit tests - Added `getAgent` mock to `client.test.js` to enhance test coverage for agent-related functionality. - Removed redundant `getAgent` and `getAgents` mocks from `openai.spec.js` and `responses.unit.spec.js` to streamline test setup and reduce duplication. - Ensured consistency in agent mock implementations across test files. * fix: update types in data-schemas * refactor: enhance type definitions in transaction and spending methods - Updated type definitions in `checkBalance.ts` to use specific request and response types. - Refined `spendTokens.ts` to utilize a new `SpendTxData` interface for better clarity and type safety. - Improved transaction handling in `transaction.ts` by introducing `TransactionResult` and `TxData` interfaces, ensuring consistent data structures across methods. - Adjusted unit tests in `transaction.spec.ts` to accommodate new type definitions and enhance robustness. * refactor: streamline model imports and enhance code organization - Consolidated model imports across various controllers and services to a unified import path, improving code clarity and reducing redundancy. - Updated multiple files to reflect the new import structure, ensuring all functionalities remain intact. - Enhanced overall code organization by removing duplicate import statements and optimizing the usage of model methods. * feat: implement loadAddedAgent and refactor agent loading logic - Introduced `loadAddedAgent` function to handle loading agents from added conversations, supporting multi-convo parallel execution. - Created a new `load.ts` file to encapsulate agent loading functionalities, including `loadEphemeralAgent` and `loadAgent`. - Updated the `index.ts` file to export the new `load` module instead of the deprecated `loadAgent`. - Enhanced type definitions and improved error handling in the agent loading process. - Adjusted unit tests to reflect changes in the agent loading structure and ensure comprehensive coverage. * refactor: enhance balance handling with new update interface - Introduced `IBalanceUpdate` interface to streamline balance update operations across the codebase. - Updated `upsertBalanceFields` method signatures in `balance.ts`, `transaction.ts`, and related tests to utilize the new interface for improved type safety. - Adjusted type imports in `balance.spec.ts` to include `IBalanceUpdate`, ensuring consistency in balance management functionalities. - Enhanced overall code clarity and maintainability by refining type definitions related to balance operations. * feat: add unit tests for loadAgent functionality and enhance agent loading logic - Introduced comprehensive unit tests for the `loadAgent` function, covering various scenarios including null and empty agent IDs, loading of ephemeral agents, and permission checks. - Enhanced the `initializeClient` function by moving `getConvoFiles` to the correct position in the database method exports, ensuring proper functionality. - Improved test coverage for agent loading, including handling of non-existent agents and user permissions. * chore: reorder memory method exports for consistency - Moved `deleteAllUserMemories` to the correct position in the exported memory methods, ensuring a consistent and logical order of method exports in `memory.ts`. |
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58f128bee7
|
🗑️ chore: Remove Deprecated Project Model and Associated Fields (#11773)
* chore: remove projects and projectIds usage * chore: empty line linting * chore: remove isCollaborative property across agent models and related tests - Removed the isCollaborative property from agent models, controllers, and tests, as it is deprecated in favor of ACL permissions. - Updated related validation schemas and data provider types to reflect this change. - Ensured all references to isCollaborative were stripped from the codebase to maintain consistency and clarity. |
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38521381f4
|
🐘 feat: FerretDB Compatibility (#11769)
* feat: replace unsupported MongoDB aggregation operators for FerretDB compatibility Replace $lookup, $unwind, $sample, $replaceRoot, and $addFields aggregation stages which are unsupported on FerretDB v2.x (postgres-documentdb backend). - Prompt.js: Replace $lookup/$unwind/$project pipelines with find().select().lean() + attachProductionPrompts() batch helper. Replace $group/$replaceRoot/$sample in getRandomPromptGroups with distinct() + Fisher-Yates shuffle. - Agent/Prompt migration scripts: Replace $lookup anti-join pattern with distinct() + $nin two-step queries for finding un-migrated resources. All replacement patterns verified against FerretDB v2.7.0. * fix: use $pullAll for simple array removals, fix memberIds type mismatches Replace $pull with $pullAll for exact-value scalar array removals. Both operators work on MongoDB and FerretDB, but $pullAll is more explicit for exact matching (no condition expressions). Fix critical type mismatch bugs where ObjectId values were used against String[] memberIds arrays in Group queries: - config/delete-user.js: use string uid instead of ObjectId user._id - e2e/setup/cleanupUser.ts: convert userId.toString() before query Harden PermissionService.bulkUpdateResourcePermissions abort handling to prevent crash when abortTransaction is called after commitTransaction. All changes verified against FerretDB v2.7.0 and MongoDB Memory Server. * fix: harden transaction support probe for FerretDB compatibility Commit the transaction before aborting in supportsTransactions probe, and wrap abortTransaction in try-catch to prevent crashes when abort is called after a successful commit (observed behavior on FerretDB). * feat: add FerretDB compatibility test suite, retry utilities, and CI config Add comprehensive FerretDB integration test suite covering: - $pullAll scalar array operations - $pull with subdocument conditions - $lookup replacement (find + manual join) - $sample replacement (distinct + Fisher-Yates) - $bit and $bitsAllSet operations - Migration anti-join pattern - Multi-tenancy (useDb, scaling, write amplification) - Sharding proof-of-concept - Production operations (backup/restore, schema migration, deadlock retry) Add production retryWithBackoff utility for deadlock recovery during concurrent index creation on FerretDB/DocumentDB backends. Add UserController.spec.js tests for deleteUserController (runs in CI). Configure jest and eslint to isolate FerretDB tests from CI pipelines: - packages/data-schemas/jest.config.mjs: ignore misc/ directory - eslint.config.mjs: ignore packages/data-schemas/misc/ Include Docker Compose config for local FerretDB v2.7 + postgres-documentdb, dedicated jest/tsconfig for the test files, and multi-tenancy findings doc. * style: brace formatting in aclEntry.ts modifyPermissionBits * refactor: reorganize retry utilities and update imports - Moved retryWithBackoff utility to a new file `retry.ts` for better structure. - Updated imports in `orgOperations.ferretdb.spec.ts` to reflect the new location of retry utilities. - Removed old import statement for retryWithBackoff from index.ts to streamline exports. * test: add $pullAll coverage for ConversationTag and PermissionService Add integration tests for deleteConversationTag verifying $pullAll removes tags from conversations correctly, and for syncUserEntraGroupMemberships verifying $pullAll removes user from non-matching Entra groups while preserving local group membership. --------- |
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|
381ed8539b
|
🪪 fix: Enforce Conversation Ownership Checks in Remote Agent Controllers (#12263)
* 🔒 fix: Validate conversation ownership in remote agent API endpoints Add user-scoped ownership checks for client-supplied conversation IDs in OpenAI-compatible and Open Responses controllers to prevent cross-tenant file/message loading via IDOR. * 🔒 fix: Harden ownership checks against type confusion and unhandled errors - Add typeof string validation before getConvo to block NoSQL operator injection (e.g. { "$gt": "" }) bypassing the ownership check - Move ownership checks inside try/catch so DB errors produce structured JSON error responses instead of unhandled promise rejections - Add string type validation for conversation_id and previous_response_id in the upstream TS request validators (defense-in-depth) * 🧪 test: Add coverage for conversation ownership validation in remote agent APIs - Fix broken getConvo mock in openai.spec.js (was missing entirely) - Add tests for: owned conversation, unowned (404), non-string type (400), absent conversation_id (skipped), and DB error (500) — both controllers |
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|
8e8fb01d18
|
🧱 fix: Enforce Agent Access Control on Context and OCR File Loading (#12253)
* 🔏 fix: Apply agent access control filtering to context/OCR resource loading
The context/OCR file path in primeResources fetched files by file_id
without applying filterFilesByAgentAccess, unlike the file_search and
execute_code paths. Add filterFiles dependency injection to primeResources
and invoke it after getFiles to enforce consistent access control.
* fix: Wire filterFilesByAgentAccess into all agent initialization callers
Pass the filterFilesByAgentAccess function from the JS layer into the TS
initializeAgent → primeResources chain via dependency injection, covering
primary, handoff, added-convo, and memory agent init paths.
* test: Add access control filtering tests for primeResources
Cover filterFiles invocation with context/OCR files, verify filtering
rejects inaccessible files, and confirm graceful fallback when filterFiles,
userId, or agentId are absent.
* fix: Guard filterFilesByAgentAccess against ephemeral agent IDs
Ephemeral agents have no DB document, so getAgent returns null and the
access map defaults to all-false, silently blocking all non-owned files.
Short-circuit with isEphemeralAgentId to preserve the pass-through
behavior for inline-built agents (memory, tool agents).
* fix: Clean up resources.ts and JS caller import order
Remove redundant optional chain on req.user.role inside user-guarded
block, update primeResources JSDoc with filterFiles and agentId params,
and reorder JS imports to longest-to-shortest per project conventions.
* test: Strengthen OCR assertion and add filterFiles error-path test
Use toHaveBeenCalledWith for the OCR filtering test to verify exact
arguments after the OCR→context merge step. Add test for filterFiles
rejection to verify graceful degradation (logs error, returns original
tool_resources).
* fix: Correct import order in addedConvo.js and initialize.js
Sort by total line length descending: loadAddedAgent (91) before
filterFilesByAgentAccess (84), loadAgentTools (91) before
filterFilesByAgentAccess (84).
* test: Add unit tests for filterFilesByAgentAccess and hasAccessToFilesViaAgent
Cover every branch in permissions.js: ephemeral agent guard, missing
userId/agentId/files early returns, all-owned short-circuit, mixed
owned + non-owned with VIEW/no-VIEW, agent-not-found fail-closed,
author path scoped to attached files, EDIT gate on delete, DB error
fail-closed, and agent with no tool_resources.
* test: Cover file.user undefined/null in permissions spec
Files with no user field fall into the non-owned path and get run
through hasAccessToFilesViaAgent. Add two cases: attached file with
no user field is returned, unattached file with no user field is
excluded.
|
||
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|
6f87b49df8
|
🛂 fix: Enforce Actions Capability Gate Across All Event-Driven Tool Loading Paths (#12252)
* fix: gate action tools by actions capability in all code paths Extract resolveAgentCapabilities helper to eliminate 3x-duplicated capability resolution. Apply early action-tool filtering in both loadToolDefinitionsWrapper and loadAgentTools non-definitions path. Gate loadActionToolsForExecution in loadToolsForExecution behind an actionsEnabled parameter with a cache-based fallback. Replace the late capability guard in loadAgentTools with a hasActionTools check to avoid unnecessary loadActionSets DB calls and duplicate warnings. * fix: thread actionsEnabled through InitializedAgent type Add actionsEnabled to the loadTools callback return type, InitializedAgent, and the initializeAgent destructuring/return so callers can forward the resolved value to loadToolsForExecution without redundant getEndpointsConfig cache lookups. * fix: pass actionsEnabled from callers to loadToolsForExecution Thread actionsEnabled through the agentToolContexts map in initialize.js (primary and handoff agents) and through primaryConfig in the openai.js and responses.js controllers, avoiding per-tool-call capability re-resolution on the hot path. * test: add regression tests for action capability gating Test the real exported functions (resolveAgentCapabilities, loadAgentTools, loadToolsForExecution) with mocked dependencies instead of shadow re-implementations. Covers definition filtering, execution gating, actionsEnabled param forwarding, and fallback capability resolution. * test: use Constants.EPHEMERAL_AGENT_ID in ephemeral fallback test Replaces a string guess with the canonical constant to avoid fragility if the ephemeral detection heuristic changes. * fix: populate agentToolContexts for addedConvo parallel agents After processAddedConvo returns, backfill agentToolContexts for any agents in agentConfigs not already present, so ON_TOOL_EXECUTE for added-convo agents receives actionsEnabled instead of falling back to a per-call cache lookup. |
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|
a26eeea592
|
🔏 fix: Enforce MCP Server Authorization on Agent Tool Persistence (#12250)
* 🛡️ fix: Validate MCP tool authorization on agent create/update Agent creation and update accepted arbitrary MCP tool strings without verifying the user has access to the referenced MCP servers. This allowed a user to embed unauthorized server names in tool identifiers (e.g. "anything_mcp_<victimServer>"), causing mcpServerNames to be stored on the agent and granting consumeOnly access via hasAccessViaAgent(). Adds filterAuthorizedTools() that checks MCP tool strings against the user's accessible server configs (via getAllServerConfigs) before persisting. Applied to create, update, and duplicate agent paths. * 🛡️ fix: Harden MCP tool authorization and add test coverage Addresses review findings on the MCP agent tool authorization fix: - Wrap getMCPServersRegistry() in try/catch so uninitialized registry gracefully filters all MCP tools instead of causing a 500 (DoS risk) - Guard revertAgentVersionHandler: filter unauthorized MCP tools after reverting to a previous version snapshot - Preserve existing MCP tools on collaborative updates: only validate newly added tools, preventing silent stripping of tools the editing user lacks direct access to - Add audit logging (logger.warn) when MCP tools are rejected - Refactor to single-pass lazy-fetch (registry queried only on first MCP tool encountered) - Export filterAuthorizedTools for direct unit testing - Add 18 tests covering: authorized/unauthorized/mixed tools, registry unavailable fallback, create/update/duplicate/revert handler paths, collaborative update preservation, and mcpServerNames persistence * test: Add duplicate handler test, use Constants.mcp_delimiter, DB assertions - N1: Add duplicateAgentHandler integration test verifying unauthorized MCP tools are stripped from the cloned agent and mcpServerNames are correctly persisted in the database - N2: Replace all hardcoded '_mcp_' delimiter literals with Constants.mcp_delimiter to prevent silent false-positive tests if the delimiter value ever changes - N3: Add DB state assertion to the revert-with-strip test confirming persisted tools match the response after unauthorized tools are removed * fix: Enforce exact 2-segment format for MCP tool keys Reject MCP tool keys with multiple delimiters to prevent authorization/execution mismatch when `.pop()` vs `split[1]` extract different server names from the same key. * fix: Preserve existing MCP tools when registry is unavailable When the MCP registry is uninitialized (e.g. server restart), existing tools already persisted on the agent are preserved instead of silently stripped. New MCP tools are still rejected when the registry cannot verify them. Applies to duplicate and revert handlers via existingTools param; update handler already preserves existing tools via its diff logic. |
||
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|
bcf45519bd
|
🪪 fix: Enforce VIEW ACL on Agent Edge References at Write and Runtime (#12246)
* 🛡️ fix: Enforce ACL checks on handoff edge and added-convo agent loading Edge-linked agents and added-convo agents were fetched by ID via getAgent without verifying the requesting user's access permissions. This allowed an authenticated user to reference another user's private agent in edges or addedConvo and have it initialized at runtime. Add checkPermission(VIEW) gate in processAgent before initializing any handoff agent, and in processAddedConvo for non-ephemeral added agents. Unauthorized agents are logged and added to skippedAgentIds so orphaned-edge filtering removes them cleanly. * 🛡️ fix: Validate edge agent access at agent create/update time Reject agent create/update requests that reference agents in edges the requesting user cannot VIEW. This provides early feedback and prevents storing unauthorized agent references as defense-in-depth alongside the runtime ACL gate in processAgent. Add collectEdgeAgentIds utility to extract all unique agent IDs from an edge array, and validateEdgeAgentAccess helper in the v1 handler. * 🧪 test: Improve ACL gate test coverage and correctness - Add processAgent ACL gate tests for initializeClient (skip/allow handoff agents) - Fix addedConvo.spec.js to mock loadAddedAgent directly instead of getAgent - Seed permMap with ownedAgent VIEW bits in v1.spec.js update-403 test * 🧹 chore: Remove redundant addedConvo ACL gate (now in middleware) PR #12243 moved the addedConvo agent ACL check upstream into canAccessAgentFromBody middleware, making the runtime check in processAddedConvo and its spec redundant. * 🧪 test: Rewrite processAgent ACL test with real DB and minimal mocking Replace heavy mock-based test (12 mocks, Providers.XAI crash) with MongoMemoryServer-backed integration test that exercises real getAgent, checkPermission, and AclEntry — only external I/O (initializeAgent, ToolService, AgentClient) remains mocked. Load edge utilities directly from packages/api/src/agents/edges to sidestep the config.ts barrel. * 🧪 fix: Use requireActual spread for @librechat/agents and @librechat/api mocks The Providers.XAI crash was caused by mocking @librechat/agents with a minimal replacement object, breaking the @librechat/api initialization chain. Match the established pattern from client.test.js and recordCollectedUsage.spec.js: spread jest.requireActual for both packages, overriding only the functions under test. |
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|
0c27ad2d55
|
🛡️ refactor: Scope Action Mutations by Parent Resource Ownership (#12237)
* 🛡️ fix: Scope action mutations by parent resource ownership Prevent cross-tenant action overwrites by validating that an existing action's agent_id/assistant_id matches the URL parameter before allowing updates or deletes. Without this, a user with EDIT access on their own agent could reference a foreign action_id to hijack another agent's action record. * 🛡️ fix: Harden action ownership checks and scope write filters - Remove && short-circuit that bypassed the guard when agent_id or assistant_id was falsy (e.g. assistant-owned actions have no agent_id, so the check was skipped entirely on the agents route). - Include agent_id / assistant_id in the updateAction and deleteAction query filters so the DB write itself enforces ownership atomically. - Log a warning when deleteAction returns null (silent no-op from data-integrity mismatch). * 📝 docs: Update Action model JSDoc to reflect scoped query params * ✅ test: Add Action ownership scoping tests Cover update, delete, and cross-type protection scenarios using MongoMemoryServer to verify that scoped query filters (agent_id, assistant_id) prevent cross-tenant overwrites and deletions at the database level. * 🛡️ fix: Scope updateAction filter in agent duplication handler * 🐛 fix: Use action metadata domain instead of action_id when duplicating agent actions The duplicate handler was splitting `action.action_id` by `actionDelimiter` to extract the domain, but `action_id` is a bare nanoid that doesn't contain the delimiter. This produced malformed entries in the duplicated agent's actions array (nanoid_action_newNanoid instead of domain_action_newNanoid). The domain is available on `action.metadata.domain`. * ✅ test: Add integration tests for agent duplication action handling Uses MongoMemoryServer with real Agent and Action models to verify: - Duplicated actions use metadata.domain (not action_id) for the agent actions array entries - Sensitive metadata fields are stripped from duplicated actions - Original action documents are not modified |
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|
9a5d7eaa4e
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⚡ refactor: Replace tiktoken with ai-tokenizer (#12175)
* chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability. |
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e1e204d6cf
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🧮 refactor: Bulk Transactions & Balance Updates for Token Spending (#11996)
* refactor: transaction handling by integrating pricing and bulk write operations
- Updated `recordCollectedUsage` to accept pricing functions and bulk write operations, improving transaction management.
- Refactored `AgentClient` and related controllers to utilize the new transaction handling capabilities, ensuring better performance and accuracy in token spending.
- Added tests to validate the new functionality, ensuring correct behavior for both standard and bulk transaction paths.
- Introduced a new `transactions.ts` file to encapsulate transaction-related logic and types, enhancing code organization and maintainability.
* chore: reorganize imports in agents client controller
- Moved `getMultiplier` and `getCacheMultiplier` imports to maintain consistency and clarity in the import structure.
- Removed duplicate import of `updateBalance` and `bulkInsertTransactions`, streamlining the code for better readability.
* refactor: add TransactionData type and CANCEL_RATE constant to data-schemas
Establishes a single source of truth for the transaction document shape
and the incomplete-context billing rate constant, both consumed by
packages/api and api/.
* refactor: use proper types in data-schemas transaction methods
- Replace `as unknown as { tokenCredits }` with `lean<IBalance>()`
- Use `TransactionData[]` instead of `Record<string, unknown>[]`
for bulkInsertTransactions parameter
- Add JSDoc noting insertMany bypasses document middleware
- Remove orphan section comment in methods/index.ts
* refactor: use shared types in transactions.ts, fix bulk write logic
- Import CANCEL_RATE from data-schemas instead of local duplicate
- Import TransactionData from data-schemas for PreparedEntry/BulkWriteDeps
- Use tilde alias for EndpointTokenConfig import
- Pass valueKey through to getMultiplier
- Only sum tokenValue for balance-enabled docs in bulkWriteTransactions
- Consolidate two loops into single-pass map
* refactor: remove duplicate updateBalance from Transaction.js
Import updateBalance from ~/models (sourced from data-schemas) instead
of maintaining a second copy. Also import CANCEL_RATE from data-schemas
and remove the Balance model import (no longer needed directly).
* fix: test real spendCollectedUsage instead of IIFE replica
Export spendCollectedUsage from abortMiddleware.js and rewrite the test
file to import and test the actual function. Previously the tests ran
against a hand-written replica that could silently diverge from the real
implementation.
* test: add transactions.spec.ts and restore regression comments
Add 22 direct unit tests for transactions.ts financial logic covering
prepareTokenSpend, prepareStructuredTokenSpend, bulkWriteTransactions,
CANCEL_RATE paths, NaN guards, disabled transactions, zero tokens,
cache multipliers, and balance-enabled filtering.
Restore critical regression documentation comments in
recordCollectedUsage.spec.js explaining which production bugs the
tests guard against.
* fix: widen setValues type to include lastRefill
The UpdateBalanceParams.setValues type was Partial<Pick<IBalance,
'tokenCredits'>> which excluded lastRefill — used by
createAutoRefillTransaction. Widen to also pick 'lastRefill'.
* test: use real MongoDB for bulkWriteTransactions tests
Replace mock-based bulkWriteTransactions tests with real DB tests using
MongoMemoryServer. Pure function tests (prepareTokenSpend,
prepareStructuredTokenSpend) remain mock-based since they don't touch
DB. Add end-to-end integration tests that verify the full prepare →
bulk write → DB state pipeline with real Transaction and Balance models.
* chore: update @librechat/agents dependency to version 3.1.54 in package-lock.json and related package.json files
* test: add bulk path parity tests proving identical DB outcomes
Three test suites proving the bulk path (prepareTokenSpend/
prepareStructuredTokenSpend + bulkWriteTransactions) produces
numerically identical results to the legacy path for all scenarios:
- usage.bulk-parity.spec.ts: mirrors all legacy recordCollectedUsage
tests; asserts same return values and verifies metadata fields on
the insertMany docs match what spendTokens args would carry
- transactions.bulk-parity.spec.ts: real-DB tests using actual
getMultiplier/getCacheMultiplier pricing functions; asserts exact
tokenValue, rate, rawAmount and balance deductions for standard
tokens, structured/cache tokens, CANCEL_RATE, premium pricing,
multi-entry batches, and edge cases (NaN, zero, disabled)
- Transaction.spec.js: adds describe('Bulk path parity') that mirrors
7 key legacy tests via recordCollectedUsage + bulk deps against
real MongoDB, asserting same balance deductions and doc counts
* refactor: update llmConfig structure to use modelKwargs for reasoning effort
Refactor the llmConfig in getOpenAILLMConfig to store reasoning effort within modelKwargs instead of directly on llmConfig. This change ensures consistency in the configuration structure and improves clarity in the handling of reasoning properties in the tests.
* test: update performance checks in processAssistantMessage tests
Revise the performance assertions in the processAssistantMessage tests to ensure that each message processing time remains under 100ms, addressing potential ReDoS vulnerabilities. This change enhances the reliability of the tests by focusing on maximum processing time rather than relative ratios.
* test: fill parity test gaps — model fallback, abort context, structured edge cases
- usage.bulk-parity: add undefined model fallback test
- transactions.bulk-parity: add abort context test (txns inserted,
balance unchanged when balance not passed), fix readTokens type cast
- Transaction.spec: add 3 missing mirrors — balance disabled with
transactions enabled, structured transactions disabled, structured
balance disabled
* fix: deduct balance before inserting transactions to prevent orphaned docs
Swap the order in bulkWriteTransactions: updateBalance runs before
insertMany. If updateBalance fails (after exhausting retries), no
transaction documents are written — avoiding the inconsistent state
where transactions exist in MongoDB with no corresponding balance
deduction.
* chore: import order
* test: update config.spec.ts for OpenRouter reasoning in modelKwargs
Same fix as llm.spec.ts — OpenRouter reasoning is now passed via
modelKwargs instead of llmConfig.reasoning directly.
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8b159079f5
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🪙 feat: Add messageId to Transactions (#11987)
* feat: Add messageId to transactions * chore: field order * feat: Enhance token usage tracking by adding messageId parameter - Updated `recordTokenUsage` method in BaseClient to accept a new `messageId` parameter for improved tracking. - Propagated `messageId` in the AgentClient when recording usage. - Added tests to ensure `messageId` is correctly passed and handled in various scenarios, including propagation across multiple usage entries. * chore: Correct field order in createGeminiImageTool function - Moved the conversationId field to the correct position in the object being passed to the recordTokenUsage method, ensuring proper parameter alignment for improved functionality. * refactor: Update OpenAIChatCompletionController and createResponse to use responseId instead of requestId - Replaced instances of requestId with responseId in the OpenAIChatCompletionController for improved clarity in logging and tracking. - Updated createResponse to include responseId in the requestBody, ensuring consistency across the handling of message identifiers. * test: Add messageId to agent client tests - Included messageId in the agent client tests to ensure proper handling and propagation of message identifiers during transaction recording. - This update enhances the test coverage for scenarios involving messageId, aligning with recent changes in the tracking of message identifiers. * fix: Update OpenAIChatCompletionController to use requestId for context - Changed the context object in OpenAIChatCompletionController to use `requestId` instead of `responseId` for improved clarity and consistency in handling request identifiers. * chore: field order |
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3a079b980a
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📌 fix: Populate userMessage.files Before First DB Save (#11939)
* fix: populate userMessage.files before first DB save * fix: ESLint error fixed * fix: deduplicate file-population logic and add test coverage Extract `buildMessageFiles` helper into `packages/api/src/utils/message` to replace three near-identical loops in BaseClient and both agent controllers. Fixes set poisoning from undefined file_id entries, moves file population inside the skipSaveUserMessage guard to avoid wasted work, and adds full unit test coverage for the new behavior. * chore: reorder import statements in openIdJwtStrategy.js for consistency --------- Co-authored-by: Danny Avila <danny@librechat.ai> |