action: update Unreleased changelog by github-actions[bot] · Pull Request #13 · intelequia/LibreChat

github-actions · 2025-04-28T00:03:26Z

Description:

This PR updates the Unreleased section in CHANGELOG.md.
It compares the current main branch with the latest version tag (determined as none),
regenerates the Unreleased changelog, removes any old Unreleased block, and inserts the new content.

* ✨ feat: Add Config schema, model, and methods for role-based DB config overrides Add the database foundation for principal-based configuration overrides (user, group, role) in data-schemas. Includes schema with tenantId and tenant isolation, CRUD methods, and barrel exports. * 🔧 fix: Add shebang and enforce LF line endings for git hooks The pre-commit hook was missing #!/bin/sh, and core.autocrlf=true was converting it to CRLF, both causing "Exec format error" on Windows. Add .gitattributes to force LF for .husky/* and *.sh files. * ✨ feat: Add admin config API routes with section-level capability checks Add /api/admin/config endpoints for managing per-principal config overrides (user, group, role). Handlers in @librechat/api use DI pattern with section-level hasConfigCapability checks for granular access control. Supports full overrides replacement, per-field PATCH via dot-paths, field deletion, toggle active, and listing. * 🐛 fix: Move deleteConfigField fieldPath from URL param to request body The path-to-regexp wildcard syntax (:fieldPath(*)) is not supported by the version used in Express. Send fieldPath in the DELETE request body instead, which also avoids URL-encoding issues with dotted paths. * ✨ feat: Wire config resolution into getAppConfig with override caching Add mergeConfigOverrides utility in data-schemas for deep-merging DB config overrides into base AppConfig by priority order. Update getAppConfig to query DB for applicable configs when role/userId is provided, with short-TTL caching and a hasAnyConfigs feature flag for zero-cost when no DB configs exist. Also: add unique compound index on Config schema, pass userId from config middleware, and signal config changes from admin API handlers. * 🔄 refactor: Extract getAppConfig logic into packages/api as TS service Move override resolution, caching strategy, and signalConfigChange from api/server/services/Config/app.js into packages/api/src/app/appConfigService.ts using the DI factory pattern (createAppConfigService). The JS file becomes a thin wiring layer injecting loadBaseConfig, cache, and DB dependencies. * 🧹 chore: Rename configResolution.ts to resolution.ts * ✨ feat: Move admin types & capabilities to librechat-data-provider Move SystemCapabilities, CapabilityImplications, and utility functions (hasImpliedCapability, expandImplications) from data-schemas to data-provider so they are available to external consumers like the admin panel without a data-schemas dependency. Add API-friendly admin types: TAdminConfig, TAdminSystemGrant, TAdminAuditLogEntry, TAdminGroup, TAdminMember, TAdminUserSearchResult, TCapabilityCategory, and CAPABILITY_CATEGORIES. data-schemas re-exports these from data-provider and extends with config-schema-derived types (ConfigSection, SystemCapability union). Bump version to 0.8.500. * feat: Add JSON-serializable admin config API response types to data-schemas Add AdminConfig, AdminConfigListResponse, AdminConfigResponse, and AdminConfigDeleteResponse types so both LibreChat API handlers and the admin panel can share the same response contract. Bump version to 0.0.41. * refactor: Move admin capabilities & types from data-provider to data-schemas SystemCapabilities, CapabilityImplications, utility functions, CAPABILITY_CATEGORIES, and admin API response types should not be in data-provider as it gets compiled into the frontend bundle, exposing the capability surface. Moved everything to data-schemas (server-only). All consumers already import from @librechat/data-schemas, so no import changes needed elsewhere. Consolidated duplicate AdminConfig type (was in both config.ts and admin.ts). * chore: Bump @librechat/data-schemas to 0.0.42 * refactor: Reorganize admin capabilities into admin/ and types/admin.ts Split systemCapabilities.ts following data-schemas conventions: - Types (BaseSystemCapability, SystemCapability, AdminConfig, etc.) → src/types/admin.ts - Runtime code (SystemCapabilities, CapabilityImplications, utilities) → src/admin/capabilities.ts Revert data-provider version to 0.8.401 (no longer modified). * chore: Fix import ordering, rename appConfigService to service - Rename app/appConfigService.ts → app/service.ts (directory provides context) - Fix import order in admin/config.ts, types/admin.ts, types/config.ts - Add naming convention to AGENTS.md * feat: Add DB base config support (role/__base__) - Add BASE_CONFIG_PRINCIPAL_ID constant for reserved base config doc - getApplicableConfigs always includes __base__ in queries - getAppConfig queries DB even without role/userId when DB configs exist - Bump @librechat/data-schemas to 0.0.43 * fix: Address PR review issues for admin config - Add listAllConfigs method; listConfigs endpoint returns all active configs instead of only __base__ - Normalize principalId to string in all config methods to prevent ObjectId vs string mismatch on user/group lookups - Block __proto__ and all dunder-prefixed segments in field path validation to prevent prototype pollution - Fix configVersion off-by-one: default to 0, guard pre('save') with !isNew, use $inc on findOneAndUpdate - Remove unused getApplicableConfigs from admin handler deps * fix: Enable tree-shaking for data-schemas, bump packages - Switch data-schemas Rollup output to preserveModules so each source file becomes its own chunk; consumers (admin panel) can now import just the modules they need without pulling in winston/mongoose/etc. - Add sideEffects: false to data-schemas package.json - Bump data-schemas to 0.0.44, data-provider to 0.8.402 * feat: add capabilities subpath export to data-schemas Adds `@librechat/data-schemas/capabilities` subpath export so browser consumers can import BASE_CONFIG_PRINCIPAL_ID and capability constants without pulling in Node.js-only modules (winston, async_hooks, etc.). Bump version to 0.0.45. * fix: include dist/ in data-provider npm package Add explicit files field so npm includes dist/types/ in the published package. Without this, the root .gitignore exclusion of dist/ causes npm to omit type declarations, breaking TypeScript consumers. * chore: bump librechat-data-provider to 0.8.403 * feat: add GET /api/admin/config/base for raw AppConfig Returns the full AppConfig (YAML + DB base merged) so the admin panel can display actual config field values and structure. The startup config endpoint (/api/config) returns TStartupConfig which is a different shape meant for the frontend app. * chore: imports order * fix: address code review findings for admin config Critical: - Fix clearAppConfigCache: was deleting from wrong cache store (CONFIG_STORE instead of APP_CONFIG), now clears BASE and HAS_DB_CONFIGS keys - Eliminate race condition: patchConfigField and deleteConfigField now use atomic MongoDB $set/$unset with dot-path notation instead of read-modify-write cycles, removing the lost-update bug entirely - Add patchConfigFields and unsetConfigField atomic DB methods Major: - Reorder cache check before principal resolution in getAppConfig so getUserPrincipals DB query only fires on cache miss - Replace '' as ConfigSection with typed BROAD_CONFIG_ACCESS constant - Parallelize capability checks with Promise.all instead of sequential awaits in for loops - Use loose equality (== null) for cache miss check to handle both null and undefined returns from cache implementations - Set HAS_DB_CONFIGS_KEY to true on successful config fetch Minor: - Remove dead pre('save') hook from config schema (all writes use findOneAndUpdate which bypasses document hooks) - Consolidate duplicate type imports in resolution.ts - Remove dead deepGet/deepSet/deepUnset functions (replaced by atomic ops) - Add .sort({ priority: 1 }) to getApplicableConfigs query - Rename _impliedBy to impliedByMap * fix: self-referencing BROAD_CONFIG_ACCESS constant * fix: replace type-cast sentinel with proper null parameter Update hasConfigCapability to accept ConfigSection | null where null means broad access check (MANAGE_CONFIGS or READ_CONFIGS only). Removes the '' as ConfigSection type lie from admin config handlers. * fix: remaining review findings + add tests - listAllConfigs accepts optional { isActive } filter so admin listing can show inactive configs (#9) - Standardize session application to .session(session ?? null) across all config DB methods (#15) - Export isValidFieldPath and getTopLevelSection for testability - Add 38 tests across 3 spec files: - config.spec.ts (api): path validation, prototype pollution rejection - resolution.spec.ts: deep merge, priority ordering, array replacement - config.spec.ts (data-schemas): full CRUD, ObjectId normalization, atomic $set/$unset, configVersion increment, toggle, __base__ query * fix: address second code review findings - Fix cross-user cache contamination: overrideCacheKey now handles userId-without-role case with its own cache key (#1) - Add broad capability check before DB lookup in getConfig to prevent config existence enumeration (#2/#3) - Move deleteConfigField fieldPath from request body to query parameter for proxy/load balancer compatibility (#5) - Derive BaseSystemCapability from SystemCapabilities const instead of manual string union (#6) - Return 201 on upsert creation, 200 on update (#11) - Remove inline narration comments per AGENTS.md (#12) - Type overrides as Partial<TCustomConfig> in DB methods and handler deps (#13) - Replace double as-unknown-as casts in resolution.ts with generic deepMerge<T> (#14) - Make override cache TTL injectable via AppConfigServiceDeps (#16) - Add exhaustive never check in principalModel switch (danny-avila#17) * fix: remaining review findings — tests, rename, semantics - Rename signalConfigChange → markConfigsDirty with JSDoc documenting the stale-window tradeoff and overrideCacheTtl knob - Fix DEFAULT_OVERRIDE_CACHE_TTL naming convention - Add createAppConfigService tests (14 cases): cache behavior, feature flag, cross-user key isolation, fallback on error, markConfigsDirty - Add admin handler integration tests (13 cases): auth ordering, 201/200 on create/update, fieldPath from query param, markConfigsDirty calls, capability checks * fix: global flag corruption + empty overrides auth bypass - Remove HAS_DB_CONFIGS_KEY=false optimization: a scoped query returning no configs does not mean no configs exist globally. Setting the flag false from a per-principal query short-circuited all subsequent users. - Add broad manage capability check before section checks in upsertConfigOverrides: empty overrides {} no longer bypasses auth. * test: add regression and invariant tests for config system Regression tests: - Bug 1: User A's empty result does not short-circuit User B's overrides - Bug 2: Empty overrides {} returns 403 without MANAGE_CONFIGS Invariant tests (applied across ALL handlers): - All 5 mutation handlers call markConfigsDirty on success - All 5 mutation handlers return 401 without auth - All 5 mutation handlers return 403 without capability - All 3 read handlers return 403 without capability * fix: third review pass — all findings addressed Service (service.ts): - Restore HAS_DB_CONFIGS=false for base-only queries (no role/userId) so deployments with zero DB configs skip DB queries (#1) - Resolve cache once at factory init instead of per-invocation (#8) - Use BASE_CONFIG_PRINCIPAL_ID constant in overrideCacheKey (#10) - Add JSDoc to clearAppConfigCache documenting stale-window (#4) - Fix log message to not say "from YAML" (#14) Admin handlers (config.ts): - Use configVersion===1 for 201 vs 200, eliminating TOCTOU race (#2) - Add Array.isArray guard on overrides body (#5) - Import CapabilityUser from capabilities.ts, remove duplicate (#6) - Replace as-unknown-as cast with targeted type assertion (#7) - Add MAX_PATCH_ENTRIES=100 cap on entries array (#15) - Reorder deleteConfigField to validate principalType first (#12) - Export CapabilityUser from middleware/capabilities.ts DB methods (config.ts): - Remove isActive:true from patchConfigFields to prevent silent reactivation of disabled configs (#3) Schema (config.ts): - Change principalId from Schema.Types.Mixed to String (#11) Tests: - Add patchConfigField unsafe fieldPath rejection test (#9) - Add base-only HAS_DB_CONFIGS=false test (#1) - Update 201/200 tests to use configVersion instead of findConfig (#2) * fix: add read handler 401 invariant tests + document flag behavior - Add invariant: all 3 read handlers return 401 without auth - Document on markConfigsDirty that HAS_DB_CONFIGS stays true after all configs are deleted until clearAppConfigCache or restart * fix: remove HAS_DB_CONFIGS false optimization entirely getApplicableConfigs([]) only queries for __base__, not all configs. A deployment with role/group configs but no __base__ doc gets the flag poisoned to false by a base-only query, silently ignoring all scoped overrides. The optimization is not safe without a comprehensive Config.exists() check, which adds its own DB cost. Removed entirely. The flag is now write-once-true (set when configs are found or by markConfigsDirty) and only cleared by clearAppConfigCache/restart. * chore: reorder import statements in app.js for clarity * refactor: remove HAS_DB_CONFIGS_KEY machinery entirely The three-state flag (false/null/true) was the source of multiple bugs across review rounds. Every attempt to safely set it to false was defeated by getApplicableConfigs querying only a subset of principals. Removed: HAS_DB_CONFIGS_KEY constant, all reads/writes of the flag, markConfigsDirty (now a no-op concept), notifyChange wrapper, and all tests that seeded false manually. The per-user/role TTL cache (overrideCacheTtl, default 60s) is the sole caching mechanism. On cache miss, getApplicableConfigs queries the DB. This is one indexed query per user per TTL window — acceptable for the config override use case. * docs: rewrite admin panel remaining work with current state * perf: cache empty override results to avoid repeated DB queries When getApplicableConfigs returns no configs for a principal, cache baseConfig under their override key with TTL. Without this, every user with no per-principal overrides hits MongoDB on every request after the 60s cache window expires. * fix: add tenantId to cache keys + reject PUBLIC principal type - Include tenantId in override cache keys to prevent cross-tenant config contamination. Single-tenant deployments (tenantId undefined) use '_' as placeholder — no behavior change for them. - Reject PrincipalType.PUBLIC in admin config validation — PUBLIC has no PrincipalModel and is never resolved by getApplicableConfigs, so config docs for it would be dead data. - Config middleware passes req.user.tenantId to getAppConfig. * fix: fourth review pass findings DB methods (config.ts): - findConfigByPrincipal accepts { includeInactive } option so admin GET can retrieve inactive configs (#5) - upsertConfig catches E11000 duplicate key on concurrent upserts and retries without upsert flag (#2) - unsetConfigField no longer filters isActive:true, consistent with patchConfigFields (#11) - Typed filter objects replace Record<string, unknown> (#12) Admin handlers (config.ts): - patchConfigField: serial broad capability check before Promise.all to pre-warm ALS principal cache, preventing N parallel DB calls (#3) - isValidFieldPath rejects leading/trailing dots and consecutive dots (#7) - Duplicate fieldPaths in patch entries return 400 (#8) - DEFAULT_PRIORITY named constant replaces hardcoded 10 (#14) - Admin getConfig and patchConfigField pass includeInactive to findConfigByPrincipal (#5) - Route import uses barrel instead of direct file path (#13) Resolution (resolution.ts): - deepMerge has MAX_MERGE_DEPTH=10 guard to prevent stack overflow from crafted deeply nested configs (#4) * fix: final review cleanup - Remove ADMIN_PANEL_REMAINING.md (local dev notes with Windows paths) - Add empty-result caching regression test - Add tenantId to AdminConfigDeps.getAppConfig type - Restore exhaustive never check in principalModel switch - Standardize toggleConfigActive session handling to options pattern * fix: validate priority in patchConfigField handler Add the same non-negative number validation for priority that upsertConfigOverrides already has. Without this, invalid priority values could be stored via PATCH and corrupt merge ordering. * chore: remove planning doc from PR * fix: correct stale cache key strings in service tests * fix: clean up service tests and harden tenant sentinel - Remove no-op cache delete lines from regression tests - Change no-tenant sentinel from '_' to '__default__' to avoid collision with a real tenant ID when multi-tenancy is enabled - Remove unused CONFIG_STORE from AppConfigServiceDeps * chore: bump @librechat/data-schemas to 0.0.46 * fix: block prototype-poisoning keys in deepMerge Skip __proto__, constructor, and prototype keys during config merge to prevent prototype pollution via PUT /api/admin/config overrides.

…avila#12613) * 🧬 feat: Scaffold Skills CRUD with ACL Sharing and File Schema Adds Skills as a new first-class resource modeled on Anthropic's Agent Skills, reusing the existing Prompt ACL stack for sharing. Lays the groundwork for multi-file skills (SkillFile schema + metadata routes) without wiring upload processing — single-file skills (inline SKILL.md body) work end-to-end, multi-file uploads are stubbed for phase 2. * 🔬 fix: Wire Skill Cleanup, AccessRole Enum, and Express 5 Path Params CI surfaced four follow-ups from the initial Skills scaffolding commit that local builds missed: - AccessRole's resourceType field had a hardcoded enum that didn't include `'skill'`, blocking SKILL_OWNER/EDITOR/VIEWER role creation in every test that hit the AccessRole model. - The seedDefaultRoles assertion in accessRole.spec.ts hard-listed the expected role IDs and needed the new SKILL_* entries. - deleteUserController had no cleanup for skills, and the deleteUserResourceCoverage guard test enforces every ResourceType has a documented handler — wired in db.deleteUserSkills(user._id) and added the entry to HANDLED_RESOURCE_TYPES. - Express 5's path-to-regexp v6 rejects the legacy `(*)` named-group glob syntax. The two skill file routes now use a plain `:relativePath` param; the client already encodeURIComponents the path, so a single param is sufficient and decoded server-side. * 🪡 fix: Make Skill Name Uniqueness Application-Level Resolve three more CI failures from the Skills scaffolding PR: - Mongoose creates indexes asynchronously and mongodb-memory-server tests can race ahead of the unique (name, author, tenantId) index being built, so the duplicate-name uniqueness test was flaky. Added an explicit findOne pre-check inside createSkill that throws with code 11000 (mimicking the index violation), giving deterministic behavior. The unique index stays as the persistent guarantee. - The deleteUser.spec.js and UserController.spec.js suites mock the ~/models module directly and were missing deleteUserSkills, causing deleteUserController to throw and return 500 instead of 200. - Removed two doc-comment claims that the SKILL_NAME_MAX_LENGTH and SKILL_DESCRIPTION_MAX_LENGTH constants "match Anthropic's API". The values themselves are reasonable but the comments were misleading about who enforces them. * 🪢 fix: Address Code Review Findings on Skills Scaffolding Resolve all 15 findings from the comprehensive PR review: Critical: - Rollback the created skill when grantPermission throws so a transient ACL failure cannot leave an orphaned, inaccessible skill in the DB. - Fix infinite query cache corruption in useUpdateSkillMutation helpers. setQueriesData([QueryKeys.skills]) matches useSkillsInfiniteQuery's InfiniteData cache entries, which have { pages, pageParams } shape — spreading data.skills on those would throw. Added an isInfiniteSkillData guard and per-page transform so both flat and infinite caches update correctly. Major: - Fix TUpdateSkillContext type: the public type declared previousListData but onMutate actually returns previousListSnapshots (a [key, value] tuple array). Updated the type + added TSkillCacheEntry as a shared export from data-provider. - Add cancelQueries calls before optimistic update in onMutate so in-flight refetches cannot clobber the optimistic state. - Parallelize deleteUserSkills ACL removal via Promise.allSettled instead of a sequential await loop — O(1) round-trip vs O(n). - Stub mockDeleteUserSkills in stubDeletionMocks() and assert it's called with user.id in the deleteUser.spec.js happy-path test. - Add idResolver: getSkillById to the SKILL branch in accessPermissions.js so GET /api/permissions/skill/<missing-id> returns 404 instead of 403. Minor: - Reuse resolved skill from req.resourceAccess.resourceInfo in getHandler to eliminate a redundant getSkillById call per GET /api/skills/:id. - Reject PATCH /api/skills/:id requests whose body contains only expectedVersion — previously they silently bumped version with no changes, triggering spurious 409s for collaborators. - Make TSkill.frontmatter optional (wire type) and add serializeFrontmatter / serializeSourceMetadata helpers that return undefined for empty objects instead of casting incomplete data to SkillFrontmatter. - Standardize deleteUserSkills to accept string | ObjectId and convert internally, matching deleteUserPrompts's signature; UserController now passes user.id consistently. - Replace bumpSkillVersionAndRecount (read-then-write, racy) with bumpSkillVersionAndAdjustFileCount using atomic $inc. upsertSkillFile pre-checks existence to distinguish insert (+1) from replace (0). - Add DELETE /api/skills/:id/files/:relativePath integration tests covering success, 404, and 403 paths. Nits: - Drop trivial resolveSkillId wrapper — pass getSkillById directly. - Remove dead staleTime: 1000 * 10 from useListSkillsQuery since all refetch triggers are already disabled. * 🧭 fix: Resolve Second Skills Review Pass — Cache, Gate, TOCTOU Address 13 of 14 findings from the second code review; reject #13 as misread of the AGENTS.md import-order rule (package types correctly precede local types regardless of length). Major: - Fix addSkillToCachedLists closure bug: a hoisted `prepended` flag was shared across every cache entry matched by setQueriesData, so concurrent flat + infinite caches would silently drop the prepend on whichever was processed second. Replaced the shared helper with three per-entry inline updaters that handle InfiniteData at the page level (page 0 only for prepend, all pages for replace/remove). - Tighten patchHandler's expectedVersion validation: NaN passes `typeof === 'number'` and would previously leak current skill state via a misleading 409. Now requires finite positive integer and returns 400 otherwise. - Guard decodeURIComponent in deleteFileHandler with try/catch — malformed percent encoding now returns 400 instead of 500. - Add PermissionTypes.SKILLS + skillPermissionsSchema + TSkillPermissions in data-provider; seed default SKILLS permissions for ADMIN (all true) and USER (use + create only); wire checkSkillAccess / checkSkillCreate via generateCheckAccess onto the skills router mirroring the prompts pattern. Skills route now enforces role-based capability gates alongside per-resource ACLs. Test suite adds a mocked getRoleByName returning permissive SKILLS. - Fix upsertSkillFile TOCTOU: replaced the pre-check + upsert pair with a single `findOneAndUpdate({ new: false, upsert: true })` call that atomically returns the pre-update doc (null ⇒ insert) so fileCount delta can't double-count on concurrent same-path uploads. Minor: - Add `sourceMetadata` to listSkillsByAccess .select() so summaries no longer silently drop the field for GitHub/Notion-synced skills. - Include `cursor` in useListSkillsQuery's query key so manual pagination doesn't alias across pages. - Clean up TSkillSummary to `Omit<TSkill, 'body' | 'frontmatter'>` matching what serializeSkillSummary actually emits; drop the Omit-then-re-add noise. - Skip getPublicSkillIdSet in createHandler; a newly-created skill cannot have a PUBLIC ACL entry, so pass an empty set directly instead of paying a DB round-trip. - Trim SkillMethods public surface: drop internal helpers countSkillFiles / deleteSkillFilesBySkillId / getSkillFile from the return object; inline the file cascade into deleteSkill. - Use TSkillConflictResponse at the PATCH 409 call site instead of an inline ad-hoc object literal. - Drop the now-unused EXPECTED_VERSION_ERROR module constant. * 🧩 fix: Extend Role Schema + Types with SKILLS PermissionType CI type-check and unit test failures from the PermissionTypes.SKILLS addition surfaced three unrelated places that all hardcode the permission-type set: - IRole.permissions in data-schemas/types/role.ts enumerates every PermissionTypes key as an optional field. Adding SKILLS to the enum without updating the interface caused TS7053 'expression of type PermissionTypes can't be used to index type' errors in role.methods.spec.ts (lines 407-408, 477-478) because Object.values(PermissionTypes) now yielded a value the interface didn't cover. - schema/role.ts rolePermissionsSchema mirrors the interface at the Mongoose layer; also needed SKILLS added so the persisted role document can actually store skill permissions. - data-provider/roles.spec.ts has a guard test that every permission type carrying CREATE/SHARE/SHARE_PUBLIC must be explicitly "tracked" either in RESOURCE_PERMISSION_TYPES or in the PROMPTS/AGENTS/MEMORIES exemption list. Added SKILLS to the exemption list since skills follow the same default model as prompts/agents (USE + CREATE on for USER, SHARE / SHARE_PUBLIC off). All three are additive pass-throughs with no behavior change. * 🏷️ refactor: Introduce ISkillSummary for Narrow List Projection Follow-up NITs from the second review pass on the Skills PR: - Define ISkillSummary = Omit<ISkill, 'body' | 'frontmatter'> and use it as the element type in ListSkillsByAccessResult. The list query's .select() intentionally omits body and frontmatter for payload size, but the previous type claimed both fields were present — a type lie that would mislead future readers even though serializeSkillSummary never touches those fields at runtime. handlers.ts's signature for serializeSkillSummary now accepts ISkillSummary too. - Document the intentional second-round-trip `findOne` in upsertSkillFile. Switching to `findOneAndUpdate({ new: false })` was required for TOCTOU-safe insert-vs-replace detection, which means the handler needs a follow-up query to return the post-upsert document. A comment now explains the tradeoff so future readers don't silently "optimize" it away. No behavior change. * 🌐 fix: Wire SKILL into SHARE_PUBLIC Resource Maps Address codex comment #1 — making a skill public was blocked on two hardcoded resource→permission-type maps that didn't know about SKILL: - api/server/middleware/checkSharePublicAccess.js's resourceToPermissionType map was missing ResourceType.SKILL, so PUT /api/permissions/skill/:id with { public: true } would fall through to the 400 "Unsupported resource type for public sharing" path even though PermissionTypes.SKILLS exists and ADMIN has SHARE_PUBLIC configured. Added the mapping. - client/src/hooks/Sharing/useCanSharePublic.ts has an identical client-side map used to gate the "Make Public" UI toggle. Without the SKILL mapping the hook returned false for everyone, so the toggle wouldn't render for skills once the sharing UI lands in phase 2. Added the mapping. Codex comment #2 (create/update cache writes inject skills into unrelated filtered lists) is invalid — it flags a pattern that mirrors useUpdatePromptGroup (which the PR description explicitly cites as the model) and is a deliberate optimistic-update tradeoff. Trying to match each cache key's embedded filter would couple the mutation callback to query-key internals, which is exactly what setQueriesData is designed to avoid. No change there. * 🧪 feat: Frontmatter Validation, Reserved-Name Fixes, Coaching Warnings Address the follow-up review notes on the Skills PR. This commit closes the gap between the wire-type promise and what the backend actually enforces, tightens the reserved-name rules, and adds a non-blocking coaching tier for validators. Frontmatter validation (new): - Add `validateSkillFrontmatter` in data-schemas/methods/skill.ts with strict mode — unknown keys are rejected so expanding the allowed set is an intentional code change. Known keys are type-checked against a `FrontmatterKind` table derived from Anthropic's Agent Skills spec (name, description, when-to-use, allowed-tools, arguments, argument-hint, user-invocable, disable-model-invocation, model, effort, context, agent, paths, shell, hooks, version, metadata). - `hooks` and `metadata` get a shallow JSON-safety check (max depth 4, max string 2000, max array 100) instead of a full schema, since their full shapes live outside this module. - Wired into BOTH createSkill AND updateSkill so the PATCH path can't smuggle invalid frontmatter past the validator. Validation warning tier (new): - Add optional `severity: 'error' | 'warning'` to `ValidationIssue` (defaults to error). `partitionIssues` splits an issue list into blocking errors and non-blocking warnings. - `createSkill` / `updateSkill` filter on errors for the throw check and return warnings in a new `warnings: ValidationIssue[]` field on their result objects (`CreateSkillResult` / `UpdateSkillResult`). - `validateSkillDescription` now emits a `TOO_SHORT` warning for descriptions under 20 chars — the primary triggering field, so a little coaching goes a long way. - `createHandler` / `patchHandler` in packages/api surface the warnings via a new `attachWarnings` helper that decorates the serialized response with a `warnings?: TSkillWarning[]` field. - `TSkill` gains an optional `warnings?: TSkillWarning[]` field documented as "present on POST/PATCH, never on GET". Reserved-name filter (tightened): - Replace the substring match (`.includes('anthropic')`) with prefix matching on `anthropic-` and `claude-` plus exact-match rejection of CLI slash-command collisions (help, clear, compact, model, exit, quit, settings, plus the bare `anthropic` / `claude` words). Both the pure validator (`methods/skill.ts`) and the Mongoose schema validator (`schema/skill.ts`) updated in lockstep; comments on each reference the other to prevent drift. - `research-anthropic-helper` and `about-claude` are now allowed; `anthropic-helper`, `claude-bot`, and `settings` are still rejected. Documentation: - Add docstrings on `ISkill`, `schema/skill.ts`, and `TSkill` explaining the semantics of `name` (Claude-visible identifier, kebab-case, stable), `displayTitle` (UI-only cosmetic label, NOT sent to Claude), `description` (highest-leverage trigger field), and `source` / `sourceMetadata` (reserved for phase 2+ external sync). - Add a detailed consistency comment on `bumpSkillVersionAndAdjustFileCount` explaining that it runs as a separate MongoDB operation from upsertSkillFile/deleteSkillFile, so `fileCount` can drift if the second op fails — options listed, tradeoff documented, phase 1 risk window noted as closed because upload is still stubbed. Tests: - data-schemas skill.spec.ts: destructure `{ skill, warnings }` from createSkill at every call site; add a TOO_SHORT warning test, a frontmatter strict-mode test, reserved-prefix tests (including positive cases for substring names that should pass), CLI reserved word tests, and a full `validateSkillFrontmatter` describe block covering unknown keys, type mismatches, and deep-nesting rejection. - api/server/routes/skills.test.js: bump default test description above the 20-char threshold, add a warning-emission test, add reserved-prefix + reserved-CLI-word tests, add an unknown-frontmatter- key test asserting the 400 response carries `issues` with `UNKNOWN_KEY`. * 📦 fix: Export CreateSkillResult from data-schemas Methods Index `CreateSkillResult` was defined in `methods/skill.ts` and consumed by `packages/api/src/skills/handlers.ts` but never re-exported from the methods barrel, so the type-check job failed with TS2724 "'@librechat/data-schemas' has no exported member named 'CreateSkillResult'". Rollup's bundle-mode build picked up the type via its internal resolver, but the standalone `tsc --noEmit` type-check ran against the package's public entrypoint and couldn't see it. Added the type import + export alongside the existing `UpdateSkillResult` export, which fixes the CI type-check without any runtime change.

…riming (danny-avila#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 danny-avila#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 danny-avila#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 c85ce21. * refactor: per-skill upload in primeInvokedSkills, eliminate multi-skill batch Replace the monolithic multi-skill batch upload with per-skill primeSkillFiles calls. Each skill gets its own session with entity_id=skillId, ensuring: - Correct session auth (entity_id matches on freshness checks) - Per-skill freshness caching (only expired skills re-upload) - Shared skill sessions work across users (same entity_id=skillId) - Code env handles mixed session_ids natively The big batch block (stream collection, single upload, identifier mapping) is replaced by a simple loop over primeSkillFiles, which already handles freshness caching, batch upload, and identifier persistence per-skill. * fix: resolve review findings #1,#3-5,#7,#9-11 Critical: - #1: Strip ?entity_id= query string before splitting codeEnvIdentifier into session_id/fileId (was corrupting cached file IDs in 4 locations) Major: - #4: Parallelize per-skill primeSkillFiles via Promise.allSettled - #5: Add logger.warn to all empty .catch(() => {}) on cache writes Minor: - #7: Add logger.debug to enrichWithSkillConfigurable catch block - #9: Use error instanceof Error guard in batchUploadCodeEnvFiles - #10: Move enrichWithSkillConfigurable to TypeScript in packages/api (skillConfigurable.ts), skillDeps.js wraps with loadAuthValues dep - #11: Reduce MAX_BINARY_BYTES from 10MB to 5MB (~11.5MB peak with b64) * fix: forward entity_id in session probe + always register bash tool Codex P2 (entity_id in probe): getSessionInfo now preserves and forwards query params (including entity_id) to the per-object stat endpoint. Without this, identifiers stored as ...?entity_id=... would fail auth checks because the entity_id scope was dropped. Codex P2 (bash tool availability): Remove codeEnvAvailable gate from injectSkillCatalog. Bash tool definition is now always registered when skills are enabled. Actual tool instance creation still happens at execution time in loadToolsForExecution (which loads per-user credentials). This ensures users with per-user CODE_API_KEY get bash without requiring a global env var at init time. Removes codeEnvAvailable from InjectSkillCatalogParams, InitializeAgentParams, and all three controller entry points. * fix: add debug logging to primeInvokedSkills catch, rename export alias * fix: stub bash tool when no key + remove PDF artifact path Codex P1 (bash tool): When CODE_API_KEY is unavailable, create a stub tool that returns "Code execution is not available. Use read_file instead." This prevents "tool not found" errors from the model repeatedly calling bash_tool in no-code-env deployments while still registering the definition for per-user credential users. Codex P2 (PDF artifacts): Remove PDF image_url artifact path. The host artifact pipeline processes image_url via saveBase64Image which fails for PDFs. PDFs now fall through to the generic binary handler ("Use bash to process"). TODO comment for future document artifact support. Also: isImageOrPdf → isImage in early size checks (PDFs are no longer treated as artifact candidates). * fix: remove dead PDF_MIME constant, hoist skillToolDeps, document session_id - #7: Remove unused PDF_MIME constant (dead code after PDF artifact removal) - #11: Hoist skillToolDeps to module-level constant (avoid per-call allocation) - #6: Document that CodeSessionContext.session_id is a representative value; ToolNode uses per-file session_id from the files array * fix: call toolEndCallback for skill/read_file artifacts + clear codeEnvIdentifier on re-upload Codex P1 (toolEndCallback bypass): skill and read_file handler branches returned early, bypassing the toolEndCallback that processes artifacts (image attachments). Now calls toolEndCallback when the result has an artifact, using the same metadata pattern as the normal tool.invoke path. Codex P1 (stale identifiers): upsertSkillFile now $unset's codeEnvIdentifier alongside content and isBinary when a file is re-uploaded. Prevents the freshness cache from returning references to old file content after a skill file is replaced. * fix: add session_id comment at cached path, rename skillResult to handlerResult * fix: return content_and_artifact from bash stub so result.content is populated * fix: deterministic skill lookup, dedup warning, and multi-session freshness check - getSkillByName: add sort({updatedAt:-1}) so name collisions resolve deterministically to the most recently updated skill - injectSkillCatalog: warn when multiple accessible skills share a name - primeSkillFiles: check ALL distinct sessions for freshness, not just the first file's session, preventing stale refs after partial bulkWrite * refactor: update icon import in Skills component - Replaced the Scroll icon with ScrollText in the Skills component for improved clarity and consistency in the UI. * fix: SKILL.md cache parity, gate bash_tool on code env, fix read_file too-large message - primeSkillFiles: filter SKILL.md from returned files array on fresh upload so cached and non-cached paths return identical file sets (SKILL.md is still on disk in the session for bash access) - injectSkillCatalog: only register bash_tool when codeEnvAvailable is true; thread the flag from all three CJS callers via execute_code capability check - handleReadFileCall: tell the model to invoke the skill first before suggesting /mnt/data paths for oversized files * fix: use EnvVar constant, deduplicate auth lookup, validate batch upload, stream byte limit - Replace hardcoded 'LIBRECHAT_CODE_API_KEY' with EnvVar.CODE_API_KEY in skillConfigurable.ts and skillFiles.ts - Resolve code API key once at run start in initialize.js and pass to both primeInvokedSkills and enrichWithSkillConfigurable via optional preResolvedCodeApiKey param, eliminating redundant loadAuthValues calls - Add response structure validation in batchUploadCodeEnvFiles before accessing session_id/files to surface unexpected responses early - Add streaming byte counter in handleReadFileCall that aborts and destroys the stream when accumulated bytes exceed MAX_BINARY_BYTES, preventing full file buffering when DB metadata is inaccurate * refactor: update icon import in ToolsDropdown component - Replaced the Scroll icon with ScrollText in the ToolsDropdown component for improved clarity and consistency in the UI. * fix: partial upload failure detection, EnvVar in initialize.js, declaration ordering - primeSkillFiles: return null (failure) when batch upload partially succeeds — missing bundled files would cause runtime bash/read failures with missing paths in code env - initialize.js: replace hardcoded 'LIBRECHAT_CODE_API_KEY' with EnvVar.CODE_API_KEY imported from @librechat/agents - initialize.js: move enabledCapabilities, accessibleSkillIds, and codeApiKey declarations before the toolExecuteOptions closure that references them (eliminates reliance on temporal dead zone hoisting)

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