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Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 mudler-agentandEttore Di Giacinto
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e684fdf084 |
fix(ui): reuse Home picker for Sound expansion (#12790)
* fix(ui): reuse Home picker for Sound expansion Use the shared model chip and listbox for Sound expansion instead of a native select. Keep explicit Sound selection and Backend default independent from Home model preferences. Preserve keyboard navigation and expose the selected value through an accessible description. Hide runtime badges without loaded-model data. Assisted-by: nib:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(ui): select Sound expansion through shared picker Update media history coverage to use the model button and listbox. Assisted-by: nib:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Pratik Gandhi
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b53b2b54c9 |
docs: fix internal links to pages with custom URLs (#12786)
These pages set a custom url in their front matter, so links that use the file path or an older location land on 404s: - distributed_inferencing.md is published at /features/distribute/ - compatibility-table.md is published at /model-compatibility/ - try-it-out.md is published at /basics/try/ - kubernetes.md is published at /basics/kubernetes/ - stores.md is published at /stores/ Assisted-by: Claude:claude-opus-5-5 Signed-off-by: Pratik Gandhi <travpreneur@gmail.com> |
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mudler-agentandEttore Di Giacinto
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0d77a4023c |
fix(sound): enumerate expansion keys (#12787)
List the existing keyscale vocabulary in the expansion tool schema. Keep optional keys omitted when unspecified and retain server validation. Quote rejected keys in validation errors, with a bounded prefix, so a failed request exposes the invalid notation without other arguments. Assisted-by: nib:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Stefan Walczandlocalai-org-maint-bot
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9c0266e506 |
fix(openresponses): keep server-side MCP tool items on synchronous paths (#12711)
* fix(openresponses): keep server-side MCP tool items on synchronous paths When a model runs MCP tools server-side, /v1/responses streams or builds function_call and function_call_output items for each call, but the two synchronous paths dropped them from the final response: - non-streaming: the output items are local to each MCP iteration, which recurses, so only the last iteration's items were returned and stored. - streaming: response.completed and the stored response were rebuilt from the last iteration (reasoning, message, unexecuted tool calls) only. The background paths already keep them. Without the trail, a follow-up with previous_response_id, or a client that rebuilds history from the completed output, never shows the model which tools ran and what they returned. Measured with gemma4-26b behind a model with mcp.auto: on 12 follow-up questions that need fresh tool data, the model called the tool 0/12 times when the history carried only text (and invented numbers), and 12/12 times when the earlier tool calls and results were included. The non-streaming handler now passes the items of earlier iterations into the recursive call; the streaming handler collects each finished MCP iteration's reasoning, function_call and function_call_output items and puts them in front of the final items in response.completed and in the store. Requests without server-side tools are unchanged. No new state: the items travel in the already replicated stored response. Tests: an in-memory MCP server behind the real LocalToolExecutor and a stubbed backend. For both synchronous paths the completed and the stored output are function_call, function_call_output, message (with reasoning in front when the model reasoned before the call), and a follow-up through ResponsesEndpoint with previous_response_id hands the backend the tool call and its result. Counter-checks: requests without tools still return a single message, and both background paths are pinned as they were. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(responses): preserve MCP trail associations Keep tool result call IDs when replaying stored responses. Clear consumed streaming state so the iteration limit cannot duplicate the final round. Add regression coverage for replay and iteration exhaustion. Assisted-by: Codex:GPT-6 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> --------- Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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Stefan Walcz
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95034f1147 |
feat(ui): offer model MCP servers to non-admin chat users (#12660)
The chat page derived MCP availability from GET
/api/models/config-json/:name, which is admin-only. With auth enabled a
regular user holding the `mcp` feature (default ON) therefore never saw
the MCP Servers/Prompts/Resources tabs, although every endpoint behind
them (/v1/mcp/servers|prompts|resources/:model) is gated only by that
feature.
/api/models/capabilities, which the chat already loads for its model
picker and which honours the per-user model allowlist, now reports
`mcp: true` for models whose config declares remote or stdio MCP servers
(never when MCP is disabled on the instance). For non-admins the chat
combines that flag with hasFeature('mcp') and clears a stale MCP
selection otherwise. Admins keep the config-json path unchanged; the
model info panel and automatic context size stay admin-only on purpose,
since they need the full model config.
Assisted-by: Claude Code:claude-opus-5-5
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
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Stefan Walcz
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b56b903c92 |
feat(config): let model aliases carry an opt-in profile block (system prompt, MCP, client tools) (#12661)
* feat(config): let model aliases carry an opt-in profile block An alias can now act as a profile of its target through an explicit `profile:` block carrying system_prompt, mcp (remote/stdio servers, plus the new mcp.auto) and the new client_tools. ResolveAlias applies only that block on top of a copy of the target, while Name, Model, Backend and the persisted revision stay the target's. The loader key is therefore unchanged and every profile runs on the target's backend process; today a persona needs a separate model config, which loads the weights a second time. The block is opt-in so existing aliases never change: top-level fields on an alias stay ignored, and an alias without a profile block resolves to exactly the target. A profile block on a non-alias config is rejected. A profile with its own MCP servers caches its sessions under the alias name (MCPSessionKey), because the cache slot keyed on the target's name is invalidated whenever its config hash changes and two server sets would tear each other's sessions down. mcp.auto enables all configured servers on /v1/chat/completions when the request does not name any in metadata.mcp_servers, which plain OpenAI clients cannot send. client_tools: drop discards client tools and tool_choice before the request is merged (chat completions, responses, Anthropic messages), so only the model's own MCP tools are offered. Both keys work on any model and inside an alias's profile block. Refs #12548 Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(openai): only auto-enable model MCP when MCP is enabled and permitted mcp.auto turns a plain /v1/chat/completions request into a server-side MCP request. It now applies the same controls as the dedicated MCP routes before any server is selected: the instance switch (LOCALAI_DISABLE_MCP) and, with auth on, the caller's "mcp" feature, checked with auth.HasFeatureAccess against the auth database that the chat route now passes to ChatEndpoint. A denied request is answered as a plain chat, without contacting a server or adding tools, rather than rejected: the client did not ask for MCP, it only reached a model that offers it. Endpoint specs drive ChatEndpoint against a counting MCP fixture server: MCP disabled and a user with chat but without mcp see no tools and no connection; MCP enabled and a user with mcp get the fixture tool. The user specs need the auth build tag (SQLite auth database). Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(mcp): resolve profile aliases in the MCP discovery endpoints GET /v1/mcp/servers/:model, /v1/mcp/prompts/:model and /v1/mcp/resources/:model looked the model up with GetModelConfig, which returns the alias stub. A profile alias carries its servers in its profile block, so the stub has none of its own and the endpoints reported an empty list for an alias whose chat requests do use tools. Resolve the alias the way the request middleware does before reading the MCP config, and open the sessions under MCPSessionKey so discovery shares the profile's session cache slot instead of tearing down the target's. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * feat(config): opt-in evidence check for profile aliases A profile with server-side MCP tools (profile.mcp, mcp.auto) runs its tools on the server and returns only the answer text. On the next turn the client sends the history back without those tool calls and results, and the model then tends to skip the tool and answer from nothing. In a measurement on a follow-up question, 0 of 12 turns called the tool and the answers carried invented numbers (e.g. "0" where the true value was 9); with the tool trail kept in the history the tool was called 12 of 12 times. A prompt instruction does not reliably prevent this, so the check sits at the output. New profile keys: profile: evidence_check: numbers: true # enables the check note: "..." # optional, defaults to an English note Rule, per request and stateless: when the check is on, no MCP tool call succeeded on the server during this request (a call that returned an error delivers no evidence and does not count), and the final answer contains a number (\b\d+([.,]\d+)?\b) that occurs in none of the request's input (the profile's system prompt and every message as received, before compression), the note is appended after a blank line. "3,5" and "3.5" count as the same number. In a streamed response the note is one extra content delta before the finish chunk. Choices that hand tool calls to the client are not checked. The setting is only read from a profile block, so plain models and aliases behave as before; a note without numbers: true is rejected at validation. Tests (Ginkgo): the number rule (invented number, number from the input, no numbers, comma/dot decimals, system prompt as evidence, tool ran), the overlay into the resolved config with plain alias, target and a top-level key as counter-checks, validation, and ChatEndpoint specs on a stubbed backend for both paths: note on an invented number, none for a number from the request, none for a profile without the check, none after a successful MCP tool call against an in-process MCP server, and the note again after a failed tool call (arguments that are not JSON). Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> --------- Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> |
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Stefan Walczandlocalai-org-maint-bot
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d768f1f973 |
feat(pii): apply PII middleware to the Open Responses API (#12708)
* feat(pii): apply PII middleware to the Open Responses API
The per-model PII filter ran on /v1/chat/completions, /v1/completions,
/v1/messages and the Ollama routes, but not on POST /v1/responses. A
model whose policy blocks or masks a secret on the chat route served the
same content unfiltered when it was sent through the Responses API.
Add a piiadapter.OpenResponses adapter and wire pii.RequestMiddleware
into the POST /v1/responses and /responses chain, after the model config
is resolved and merged and before the handler converts input items into
prompt messages. The adapter covers instructions, input as a string, and
in an input item array the text of message and reasoning items (string
content or input_text/output_text parts, including typeless
{role, content} items), function_call arguments and function_call_output
output; structured tool output is scanned as the JSON the handler
forwards. Image, file, audio and video parts are left untouched.
The Responses WebSocket mode (GET /v1/responses) is not HTTP middleware
and cannot filter, so a response.create for a model with PII filtering
enabled is now refused with pii_unsupported_transport instead of being
served unfiltered. The docs list the new route and this limit.
Tests: adapter specs for every covered field, each with a clean-text
counter-check; a route spec driving the real middleware chain with an
in-process pattern detector (block on string input, content part,
instructions and tool output; mask; clean input passes unchanged); and
WebSocket specs proving the refusal and that models without a PII
policy are still served.
Assisted-by: Claude Code:claude-opus-5-5
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
* fix(pii): scan complete Responses tool output arrays
The Responses handler forwards non-string tool output as JSON. Scan
that full encoding so string arrays and extra fields cannot bypass PII
filtering. Cover array scans, redaction, clean values and route blocking.
Document that stored history is resolved after request filtering.
Assisted-by: Codex:gpt-6
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
* feat(pii): report unscanned media on the Open Responses route
Extend block_unscanned_media to /v1/responses: input_image, input_file
and input_audio parts inside message items, and the same types as bare
input items, are reported as unscanned content. Tool output stays
allowed, as it is scanned as JSON text.
Assisted-by: Claude Code:claude-opus-5-5
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
---------
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
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mudler-agentandEttore Di Giacinto
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0de4a7e0d9 |
fix(ui): restore per-node installed backend removal (#12785)
* fix(ci): capture and surface ginkgo errors in run-coverage.sh
The coverage script ran ginkgo per test root with `|| fail=1`, which
swallowed the exit code. Combined with `make --output-sync=target`,
which buffers all output and flushes at the end, the actual ginkgo
error was invisible in interleaved CI logs. Every test suite passed
but the script still exited 1, and the error message was buried in
22 000 lines of buffered output.
Each ginkgo invocation now captures combined stdout+stderr to a
per-root log file. On failure the last 80 lines are printed to
stderr so the error is visible in the CI log. On success the log is
replayed to stdout so test output remains visible.
The build flags (--tags, --coverpkg) are quoted correctly so values
containing spaces (e.g. --tags="debug auth") are preserved through
eval.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(ci): create output dir before writing ginkgo logs
The previous commit added per-root log files but forgot to create
the output directory before the first ginkgo invocation. On CI the
coverage/ dir did not exist yet, so the shell redirect to
cover-pkg.out.log failed with "No such file or directory" before
ginkgo even ran.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* test(core/http): add canvas preview route to auth coverage allowlist
Commit
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mudler-agentandEttore Di Giacinto
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2f4eaf1fad |
fix(sound): require tool calls for expansion (#12783)
Require one expand_sound call instead of parsing assistant prose. Reject unsupported templates and invalid arguments before audio generation. Keep installed configuration unchanged and preserve explicit controls. Assisted-by: nib:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler-agentandEttore Di Giacinto
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dce91ba7aa |
fix(backends): prefer installed development builds (#12782)
* fix(ci): capture and surface ginkgo errors in run-coverage.sh The coverage script ran ginkgo per test root with `|| fail=1`, which swallowed the exit code. Combined with `make --output-sync=target`, which buffers all output and flushes at the end, the actual ginkgo error was invisible in interleaved CI logs. Every test suite passed but the script still exited 1, and the error message was buried in 22 000 lines of buffered output. Each ginkgo invocation now captures combined stdout+stderr to a per-root log file. On failure the last 80 lines are printed to stderr so the error is visible in the CI log. On success the log is replayed to stdout so test output remains visible. The build flags (--tags, --coverpkg) are quoted correctly so values containing spaces (e.g. --tags="debug auth") are preserved through eval. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ci): create output dir before writing ginkgo logs The previous commit added per-root log files but forgot to create the output directory before the first ginkgo invocation. On CI the coverage/ dir did not exist yet, so the shell redirect to cover-pkg.out.log failed with "No such file or directory" before ginkgo even ran. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(core/http): add canvas preview route to auth coverage allowlist Commit |
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36307005a9 |
feat(chat-history): server-side chat history with tombstones (follow-up to #9902) (#12663)
* feat(schema): add Conversation schema for chat history (#9432) Persist WebUI chat conversations server-side so browser refresh, private windows, or device changes preserve user history (issue #9432). This commit adds the on-disk representation: - Conversation holds id, name, model, opaque history, MCP / sampling settings, and timestamps. - ConversationsFile is the per-user list serialised to JSON. History is stored as json.RawMessage so the server stays agnostic to React message shapes (user / assistant / thinking / tool_call / tool_result mixed with text / image_url / audio_url / file attachments). Assisted-by: Claude:claude-opus-4-7 Signed-off-by: TLoE419 <tloemizuchizu@gmail.com> * feat(chathistory): add file-based per-user conversation store (#9432) File-backed persister for chat history. Each user's conversations live under {baseDir}/{userID}/conversations.json (anonymous/ when auth is disabled). Design choices: - In-memory cache backed by sync.Mutex so concurrent saves don't interleave writes. - Atomic write via tmp file + os.Rename so a crash mid-save never leaves a corrupted history. - ID validation regex blocks path-traversal payloads at the store boundary, in addition to the auth context constraint. Tests cover round-trip persistence across instances, user isolation, unsafe-ID rejection, bulk replace migration, and the anonymous fallback path. Assisted-by: Claude:claude-opus-4-7 Signed-off-by: TLoE419 <tloemizuchizu@gmail.com> * feat(api): expose chat conversation CRUD endpoints (#9432) Wire the chathistory store into the HTTP layer. New endpoints under /api/conversations: - GET /api/conversations list - POST /api/conversations upsert (id in body) - DELETE /api/conversations delete all - PUT /api/conversations/bulk replace entire set (localStorage migration) - GET /api/conversations/:id fetch one - PUT /api/conversations/:id upsert (id in path; path id wins over body) - DELETE /api/conversations/:id delete one All endpoints scope queries to the authenticated user via getUserID(c) - callers cannot impersonate other users by passing a user_id in the body. The endpoints are gated behind the new chat_history feature permission (default ON in APIFeatures), registered through the existing RouteFeatureRegistry so the unified feature middleware picks them up automatically. Application.ChatHistoryStore() returns nil when DisableWebUI is set or no persistence path is configured, in which case route registration is skipped entirely rather than registering handlers that always 503. Also adds the chat-history instruction entry and Swagger tag so the endpoint surfaces in /api/instructions and /swagger. Assisted-by: Claude:claude-opus-4-7 Signed-off-by: TLoE419 <tloemizuchizu@gmail.com> * feat(react-ui): sync chat history to server with localStorage fallback (#9432) useChat now probes /api/conversations on mount. When the endpoint responds 200, the server becomes the authoritative source: the hook merges remote conversations into local state and pushes per-chat PUT updates on each debounced save. When the endpoint 404s - older LocalAI deploys or the feature disabled - the hook silently keeps the old localStorage-only behaviour, so the change is backward-compatible. Migration: when the server is reachable but empty and the browser has local conversations with history, the hook fires a single PUT /api/conversations/bulk to seed the server. The atomic bulk endpoint avoids partial-upload states where a retry would skip already-uploaded entries. Delete operations propagate to the server when it's available; failures are silently swallowed so the local UI stays responsive on transient network errors. Assisted-by: Claude:claude-opus-4-7 Signed-off-by: TLoE419 <tloemizuchizu@gmail.com> * test(chathistory): rewrite tests in Ginkgo/Gomega The initial test file used the stdlib testing package (t.Fatalf / t.Errorf), which is forbidden by the forbidigo linter rule in .golangci.yml — LocalAI mandates Ginkgo/Gomega for all Go tests (see .agents/coding-style.md). Restructured the same six scenarios into Describe / Context / It blocks, with a chathistory_suite_test.go bootstrap that registers the Ginkgo fail handler. Test coverage is unchanged: basic CRUD round-trip, cross- instance persistence, user isolation, unsafe ID rejection (now via DescribeTable), bulk replace overwrite, and the anonymous fallback path. Assisted-by: Claude:claude-opus-4-7 Signed-off-by: TLoE419 <tloemizuchizu@gmail.com> * refactor(chathistory): switch store to GORM-backed authDB Addresses mudler's review on #9902. Chat history was the only per-user state in LocalAI sitting in a separate filesystem store instead of the shared GORM database — AgentStore and JobStore both live there. Move it onto Application.authDB so per-user state stays in one place. * ConversationRecord (GORM model) with composite primary key (user_id, conv_id) — React mints IDs locally with no global coordination so per-user uniqueness is the natural shape. * Store.New(db *gorm.DB) replaces Store.New(baseDir string). Save / Get / List / Delete / DeleteAll / ReplaceAll keep their signatures so HTTP handlers and the React UI are untouched. * ReplaceAll runs in a transaction with an Unscoped() pre-clear so a future retention sweep cannot resurrect a stale ID on re-upload. * gorm.DeletedAt in the schema means a future retention pruner is a one-line query — addresses the second half of the review (unbounded in-memory map). The map is gone: reads go straight to the DB. Trade-off worth flagging in the PR reply: chat history persistence now requires auth.Enabled = true (that's what initialises Application.authDB). With auth disabled the React UI transparently falls back to localStorage, the same path the original PR took on 404. Consistent with AgentStore / JobStore; if a "chat history always on" mode is preferred we can pull DB init out of auth.InitDB into a shared helper. Assisted-by: Claude:claude-opus-4-7 [Read Edit Bash] Signed-off-by: TLoE419 <tloemizuchizu@gmail.com> * refactor(schema): drop now-unused ConversationsFile envelope ConversationsFile was the JSON wrapper for the old file-based chat history store — a {Conversations: [...], UpdatedAt: ...} pair serialised to disk under {baseDir}/{userID}/conversations.json. The previous commit replaced that store with a GORM-backed one that writes rows directly as ConversationRecord, leaving the envelope without a consumer. Assisted-by: Claude:claude-opus-4-7 [Read Edit Bash] Signed-off-by: TLoE419 <tloemizuchizu@gmail.com> * test(chathistory): switch tests to testutil.SetupTestDB Mirror the AgentStore test setup: spin up a PostgreSQL 16 container via testutil.SetupTestDB(), construct a Store on top of it, exercise CRUD round-trips. The previous file-based fixtures (TempDir, filepath.Join checks) are no longer meaningful now that the store talks GORM. Tests are skipped on macOS (testcontainers needs Docker) and run on CI, same as the other GORM-backed suites in the repo. Also reframed two cases: * "unsafe IDs" → "malformed IDs" — the DB-backed store doesn't care about path traversal, but idRegex still rejects whitespace / control characters so IDs stay safe in logs and HTTP responses. * "anonymous user" no longer pins a directory path (no directory exists anymore); instead it checks the round-trip plus the per-user isolation guarantee. Added a DeleteAll round-trip to cover the bulk-clear endpoint. Assisted-by: Claude:claude-opus-4-7 [Read Edit Bash] Signed-off-by: TLoE419 <tloemizuchizu@gmail.com> * test(chathistory): cover the conversation HTTP handlers The seven /api/conversations handlers had no tests. Inject the *chathistory.Store into the handlers instead of the whole Application and move the route table into RegisterChatHistoryRoutes, so a spec can drive the real registration and middleware chain (auth.Middleware plus the chat_history feature gate) against an in-memory SQLite auth database. The new specs cover 401 without credentials on every route, 403 when an admin revoked chat_history, the CRUD round trip, path id over body id, 400 on malformed ids and bodies, per-user isolation, bulk replace and delete-all, and that a nil store registers nothing (the UI then falls back to localStorage). The handlers' nil-store branches are gone: the routes are only registered with a store, so those branches could never run. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(chathistory): make deletions final with tombstones and versions A conversation deleted on one device came back as soon as a client with a stale copy wrote it again: Delete soft-deleted the row, and the next Save went through GORM's upsert, which cleared deleted_at and resurrected it for every device. The lookup that recovered CreatedAt also ran outside any transaction, so concurrent writers raced on it. The server is now authoritative over deletions: * Delete turns the row into a tombstone: content dropped, deleted_at set. It is idempotent, and deleting an id the server has not seen yet still records a tombstone, so a delete that overtakes the UI's in-flight debounced save of the same chat still wins. * Save runs in a transaction, refuses a tombstoned id with ErrDeleted (HTTP 410 Gone), and bumps the version with a single UPDATE ... SET version = version + 1 guarded by deleted_at IS NULL, so concurrent writers each count and a delete committed between the lookup and the write still wins. Two concurrent first writes of the same id retry once (ON CONFLICT DO NOTHING, then update). * Every row carries a server-assigned version (1 on the first save, +1 per write including the delete), returned to the client. A non-zero version tells the UI the server has seen a conversation, which is how it can tell a never-synced draft from a server-side deletion. * GET /api/conversations returns the tombstones under "deleted". * DeleteAll and ReplaceAll leave tombstones too. ReplaceAll no longer hard-deletes everything first; it upserts the payload, skips ids that were deleted (reported in "skipped"), and tombstones the rest. * createdAt/updatedAt are stored as the client sends them (only zero values are stamped), so clients compare updatedAt from their own clocks rather than against the server's. The store specs now run against PostgreSQL (testcontainers) and, with the auth tag, SQLite through auth.InitDB, since both back the auth database. The API specs cover a stale client reconnecting after a remote deletion. Swagger is regenerated with swag v1.16.6 (json.RawMessage fields get swaggertype), and the feature is documented, including that it needs user auth. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(react-ui): let the server decide which chats were deleted mergeRemoteAndLocal kept every chat that was only in the browser and let the server copy win for every shared id. A stale browser therefore uploaded chats deleted on another device as if they were new drafts, and a message sent while the list request was still in flight was replaced by the older server copy and then lost from localStorage too. The first load now reconciles with the server's tombstones and versions: * a chat the server lists under "deleted" is dropped locally; * a chat on both sides keeps the copy with the newer updatedAt, so an edit made during the load wins and is uploaded afterwards; * a chat only in the browser is uploaded only if it was never synced (no version). With a version the server has seen it and no longer has it, so it is dropped instead of resurrected (this also keeps one account's cached chats out of another account on a shared browser); * deletes made while the list is loading are queued and sent once it arrives. Saves record the version the server returns, and a 410 on save drops the chat locally instead of retrying it forever. Chats received from the server count as already sent, so adopting a server copy no longer echoes it straight back. The bulk localStorage migration is gone: it replaced the whole server set from a possibly stale browser, and the per-chat saves already upload never-synced drafts through the tombstone check. The Playwright spec drives each case against a stubbed /api/conversations that follows the server contract. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(chathistory): keep the LocalAI Assistant toggle on synced chats master's createNewChat sets localaiAssistant, but serializeChat did not send it and schema.Conversation had no field for it, so a chat with the Assistant mode on came back with it off after a reload from the server (and the local cache dropped it too). Add the field on both sides. The other fields createNewChat sets were already covered; a handler spec now round-trips all of them, and the UI spec checks the toggle on the way up and in the local cache. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(react-ui): scope chat cache per account, retry unconfirmed deletes Two gaps in the client half of server-side chat history, both found in review: The browser cache was one shared localStorage key. A draft that one account could not upload (a failed first save) stayed in it, and after that account signed out and another signed in, the reconcile kept the unversioned draft and the save pass uploaded it into the second account. The cache now lives under localai_chats_data:<user id>, Chat remounts its state when the account changes, and nothing is synced without a signed-in account. The shared key is left for browser-only use without auth and is not uploaded when signed in, because nothing tells which account it belongs to. Deletes were dropped locally and their DELETE errors swallowed; only deletes made while the first list was loading were queued, and not persisted. A delete made while the server was unreachable therefore came back with the next list. Deletes (single, delete all, and deletes on the Home page) are now kept as pending deletes in the account's cache until the server confirms them, override the server list in the reconcile, and are sent again on the next change, on the online event and on the next load. While a delete-all is pending no conversation is uploaded, so a chat started after it is not caught by it. The Playwright specs replay both review scenarios (account switch after a failed first save; delete and delete-all while offline) with counter-checks that the same account keeps and uploads its own draft and that a confirmed delete is neither re-sent nor resurrected. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(react-ui): persist cleared chats immediately Navigation cancels the debounced cache write and can restore unsynced chats after Clear all. Save the cleared list with its pending deletion before returning, and cover immediate navigation in the browser spec. Assisted-by: Codex:GPT-6 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * test(react-ui): make the chat history sync specs deterministic - "clear all persists before navigation" opened a single chat, and the menu offers no Clear all for one chat, so the spec timed out in every run. It now opens two unsynced chats and checks that neither survives. Reverting 03cd9c115's save in clearAllChats turns it red again. - "a delete the server confirmed is not sent again" reopened the page as soon as the server had the request, before the page had the answer; the unconfirmed delete was then rightly sent again (4 of 5 runs). It now waits until the cache holds no pending delete. Docs-Not-Needed: test-only change. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(chathistory): keep the chat's reasoning effort on the server reasoningEffort (#12700, #12716) is part of the chat the UI syncs since the master merge, but schema.Conversation had no field for it, so the server dropped it and a reload from the server reset the setting. Add the field. The handler spec that round-trips every chat field now includes reasoningEffort. A schema test reads serializeChat in useChat.js and fails for any key the UI sends that schema.Conversation cannot hold, so the next such drift shows up as a failing test rather than in review (it reports reasoningEffort on the previous head). Swagger and docs updated. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * test(chat): use Ginkgo for the schema drift guard The new drift guard uses testing methods forbidden by repository lint. Keep its field coverage and fail-fast parser checks in Ginkgo/Gomega. Assisted-by: nib:gpt-6.1-sol --------- Signed-off-by: TLoE419 <tloemizuchizu@gmail.com> Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> Co-authored-by: TLoE419 <tloemizuchizu@gmail.com> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> Co-authored-by: mudler-agent <mudler-bot@c3os.io> |
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mudler-agentandEttore Di Giacinto
|
ae8092e1c6 |
feat(sound): expand Simple prompts with chat (#12772)
* feat(sound): expand simple prompts with chat models Allow callers to select an installed chat model for sound prompt expansion. Validate its JSON before audio generation and preserve explicit instrumental and language controls. Keep backend defaults when expansion is omitted, including native Python ACE-Step sampling. Assisted-by: Codex:gpt-6 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(sound): map expansion by loaded audio family Map neutral expanded fields where the resolved audio family is known. Keep unmarked requests unchanged and reject unsupported expansion before inference. Clear YuE2 and HeartMuLa transcripts to prevent lyric fallback. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(sound): choose a prompt expansion model Require an explicit Simple choice and remember it separately from chat. Clear unavailable choices instead of silently switching language models. Preserve the choice in history and restore it when editing a past result. Keep Backend default and Advanced requests compatible with existing APIs. Document family support and align the published optional request schema. Verify selection, request fields, persistence and history in the browser. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(sound): authorize both generation models Check the resolved audio model and explicit expansion model before loading either. Permission lookup failures stop generation. Assisted-by: Codex:gpt-6 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(sound): enforce JSON during prompt expansion Constrain expansion output with the existing JSON grammar before decoding. Require a llama-cpp chat model so unsupported backends cannot ignore it. Keep strict field validation and fail before generating audio. Assisted-by: Codex:gpt-6 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Younes Beriane
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e517470554 |
fix(pocket-tts): honour the language option when loading the model (#12766)
Pocket TTS ships one model per language, but LoadModel called TTSModel.load_model() with no arguments, so the library always fell back to its English model whatever the model config said. Read a `language` option and pass it to load_model, keeping the library default when it is not set. Document the option and add unit tests that mock the loader. Fixes #12759 Assisted-by: Claude:claude-opus-5-5 |
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mudler-agentandEttore Di Giacinto
|
f85087f992 |
feat(tts): stream Qwen text and add assistant preset (#12770)
* feat(tts): stream Qwen text through audio pipelines Feed cleaned LLM deltas into one persistent Qwen synthesis session. Return audio before input ends and preserve the live RPC through model cache, staging and in-flight wrappers. Stop generation on sink failures or cancellation without replaying speech through a fallback. Pin the incremental native fork and verify early audio, late text, finalization and cancellation with lifecycle and real-model checks. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * build(tts): use the organization Qwen fork Fetch the reviewed incremental synthesis commit from localai-org so backend builds use the organization-maintained fork. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add a Qwen streaming assistant preset Expose an English pipeline using existing VAD, ASR, LLM and named-voice TTS models. Enable incremental text and audio delivery, and document separate component installs because the gallery has no dependency installer. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): use Parakeet TDT v3 for the assistant Select the existing Parakeet TDT 0.6B v3 transcription entry and update its prerequisite install command. Keep the preset's English voice and incremental Qwen synthesis configuration. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(kokoros): reject unsupported backend RPCs Implement the MotionStream and SlotCache methods required by the shared protobuf service. Return Unimplemented so Kokoros compiles without advertising support for either operation. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(tts): mark cleanup and logging results ignored Explicitly ignore connection shutdown, test server shutdown and Ginkgo diagnostic writer errors. These operations do not replace the stream's inference or sink errors, and errcheck requires their return values to be acknowledged. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(tts): stream buffered clauses in realtime pipelines Start clause synthesis while LLM text is still arriving when both streaming flags are enabled. Keep explicit clause opt-out and native Qwen sessions, bound automatic queued work, and choose streaming support on resolved failover targets. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(tts): bound synthetic voice clone generation The sine-wave reference checks speaker conditioning and WAV output, but does not provide a meaningful speech EOS target. Limit that smoke request to 128 frames and verify the request limit reaches native synthesis. Leave production sampling defaults unchanged. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(tts): require explicit clause buffering opt-in Keep whole-reply synthesis for nonnative engines when clause_chunking is unset or false. Use the bounded cancellable worker when explicitly enabled, with unary clauses when TTS streaming is disabled. Preserve native Qwen precedence for every clause setting. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add VITS and Piper streaming assistants Provide comparable full pipeline configurations with shared VAD, Parakeet transcription, and Qwen chat components. Enable clause buffering explicitly and document the separate prerequisite model installs and Talk selection. Assisted-by: Codex:gpt-6.1-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Stefan Walcz
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f4505dbb5d |
feat(pii): optionally block content the detectors cannot inspect (#12755)
The PII middleware scans the text of every message, but images, audio,
video and files pass to the backend unchecked. For an egress policy
("nothing sensitive leaves the box") that is a hole: a photographed
invoice or an attached PDF reaches a cloud-proxy model without any check.
Add pii.block_unscanned_media. While PII is enabled for a model and the
option is set, a request that carries such content is rejected with the
usual 400 pii_blocked response and an audit event with pattern
__unscanned_media__, before any detector runs. Adapters report the
kinds of unscanned content through a new optional Adapter.Unscanned:
OpenAI chat (non-text content blocks), Anthropic messages (image and
document blocks; tool blocks stay allowed) and Ollama chat (images).
Off by default, so existing configurations behave as before.
Assisted-by: Claude Code:claude-opus-5-5
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
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Stefan Walcz
|
92500b4389 |
feat(ui): dictate in the chat composer and read scanned PDFs as images (#12756)
Two gaps in the chat composer: - The microphone button only opened a file dialog for audio files; there was no way to speak a message. Add a dictation button: the first click records from the microphone, the second stops and sends the recording to /v1/audio/transcriptions with the first installed transcription model; the text is appended to the message box for review. The button is hidden without a transcription model or without a microphone API. The audio attach button keeps its function and gets the music icon. - A PDF without a text layer (a scan) was rejected with a toast. Render its first ten pages to PNG with pdf.js and attach them as images, so a vision model can read them; a toast says how many pages went along. PDFs that cannot be parsed at all are still rejected. Strings for all eight locales, docs in features/chat.md, Playwright specs for both (with negative cases: no transcription model, failed transcription, unparsable PDF). Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> |
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|
216c85374e |
fix(gallery): configure EmbeddingGemma 2 variants (#12667)
* chore(model gallery): 🤖 add new models via gallery agent Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): give the Q6 build a unique name The Q8 entry already uses embeddinggemma-2. Include the quantization in the new entry name so both builds remain reachable. Assisted-by: Codex:gpt-6 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): configure EmbeddingGemma 2 variants Serve the Unsloth builds as text embeddings and remove chat settings.\nGroup Q4, Q5, and Q6 with the existing family and pin verified assets. Assisted-by: Codex:gpt-6 --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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|
e7cc993b0f |
feat(llama-cpp): add lazy_mode model option (#12743)
* feat(llama-cpp): add lazy_mode model option Expose upstream --lazy-mode (on, auto, off) as a model option, for example `lazy_mode:on`. It controls on-demand reading of large tensors such as per-layer embeddings; `on` requires mmap. The option is also accepted as `lazy-mode` or `lzm`. Invalid values log a warning and keep the upstream default (auto). The pinned llama.cpp already provides the lazy_mode field in common_params. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(llama-cpp): bump llama.cpp to c0fd78626405 Update the default llama.cpp pin to the current upstream master. The changes since the old pin that the backend touches are additive: a new common_decision_type value, new mtmd audio-stream and download helper declarations. The two server patches still apply in order, and the common_params fields and server headers the backend uses are unchanged. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Claude Sonnet 5.5 <noreply@anthropic.com> |
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|
e715af1def |
feat(llama-cpp): add slot prompt-cache save and restore API (#12730)
* feat(llama-cpp): add slot prompt-cache save and restore API Add POST /v1/slots/save and POST /v1/slots/restore. They write one llama.cpp slot's prompt cache (KV state) to a file and load it back, so a client can warm a long system prompt in a few hundred milliseconds instead of re-running prefill. Refs #12685. The new SlotCache gRPC call posts the same slot save and restore tasks the llama-server /slots endpoint uses. It is off unless the model sets the new slot_save_path option, so existing models are not affected. The /slots monitoring endpoint is not needed here: the backend has no HTTP server. The file name comes from the caller, so it is checked twice, in Go and again in the backend. It must be one path component: no empty name, "/", "\", "..", NUL, control characters or absolute path. The resolved path, with symbolic links followed, must be a direct child of slot_save_path. The routes are admin only because they write files on the backend host. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(llama-cpp): answer 501 when a backend lacks slot cache A backend that does not implement the SlotCache rpc returns gRPC UNIMPLEMENTED. The API passed that text through, so the client saw "unknown method SlotCache". Map the status to a typed error in core/backend and return 501 with a fixed message instead. Every other error path is unchanged. Make the SlotCache comments in backend.proto backend-neutral: slot is the backend's state slot, filename must stay inside the save directory, and an empty model_identity means the backend does not check it. Only comments change, no field or name. Add tests that the identity sent is the configured model, and for the error mapping. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(llama-cpp): issue slot cache IDs on the server The slot save and restore API let the client pick the file name. Restore could load any file in slot_save_path, and the symlink check ran before llama.cpp opened the file. The backend now issues the name. A save returns a random 128-bit ID (32 lowercase hex characters, read from /dev/urandom) and never overwrites an existing file. Files live in a 0700 directory per model, named from the SHA-256 of the model identity, with a manifest.json that records each save. The manifest is written atomically and a corrupt one stops both save and restore. A restore takes the ID, finds it in the manifest, refuses an entry of another model, builds the path from the entry and checks with lstat that it is a plain file of the recorded size. The directory mode is the main defence against another local user, since llama.cpp still opens the path itself. Each model keeps at most 32 saves and the oldest is deleted first. A file over 8 GiB is deleted after the save, because llama.cpp does not report the size before it writes. Responses carry no host path. The HTTP bodies change: save takes {model, slot}, restore takes {model, slot, id}, and an unknown ID returns 404. In the proto, SlotCacheRequest.filename and SlotCacheResponse.filename become id. SlotCache no longer calls checkModelIdentity, which reads a field this request does not have. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(llama-cpp): copy slot_cache files in prepare.sh grpc-server.cpp includes slot_cache.h, but prepare.sh copies the helper headers into llama.cpp/tools/grpc-server/ one by one and skipped it. The llama-cpp, turboquant and bonsai builds share this step, so they all failed with "slot_cache.h: No such file or directory". Copy slot_cache.h and slot_cache_test.cpp, which CMakeLists.txt builds when LLAMA_GRPC_BUILD_TESTS is on. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(deps): bump LocalAGI to pick up the scheduler start/stop fix LocalAGI's scheduler could hit a nil pointer in run when Start and Stop raced. That made the core/services/agentpool tests panic at random and turned tests-linux red. Move to mudler/LocalAGI@7aa0c8fea0, the merge of mudler/LocalAGI#519 ("make Start and Stop safe to call concurrently"). The new module version also adds a few indirect requirements to go.mod and go.sum. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com> |
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localai-org-maint-botandlocalai-org-maint-bot
|
9bceeb1e5d |
feat(gallery): add MiniCPM-V 4.7 1B variants (#12684)
Add official Q4, Q5, Q6, and Q8 GGUF builds with the F16 vision projector. Group them for automatic selection and document installation. Pin downloads to one Hugging Face revision with verified SHA256 values. Assisted-by: Codex:gpt-6 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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localai-org-maint-botandlocalai-org-maint-bot
|
eec2ec33de |
feat(gallery): add LFM2.5 24B variants (#12673)
Add official Q4, Q5, Q6, and Q8 GGUF builds with pinned downloads. Document installation and automatic variant selection. Assisted-by: Codex:gpt-6 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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mudler-agentandEttore Di Giacinto
|
39b3b31153 |
fix(backends): flag a llama-cpp backend that predates native decisions (#12733)
A decision request (/v1/systemone, /v1/decisions) sends Score with question_type "systemone". A backend built before native decisions ignores that field and runs plain scoring, so the caller saw "Score was not enabled" (500) or "candidates must be non-empty" (400). The gallery "latest" image can lag behind the server, and the upgrade check compares only tag, version and digest, so /backends/upgrades did not list the backend. Recognise those two errors for a decision request, return 501 with a message that says the backend is older than the server and must be upgraded, and mark the backend stale. The upgrade check now reports a marked backend with a `reason`, and refreshes at once. Reinstalling the backend drops the mark; if the new image is still old, the next request marks it again. Model loading is not affected. Refreshing the "latest" backend image is a separate publishing step and is not part of this change. Refs #12693 Assisted-by: Claude Code:claude-sonnet-5-5 [go vet] [go test] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-botandlocalai-org-maint-bot
|
62fa19b833 |
fix(audio): use captions as the default YuE2 style (#12703)
* fix(audio): use captions as the default YuE2 style Studio sends a caption, but YuE2 requires a style request option. Default audio-cpp style from caption while preserving explicit options and the caller's parameter map. Document the Studio fields. Assisted-by: Codex:gpt-6 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(audio-cpp): map captions to style in backend Move the YuE2 caption fallback into the C++ request builder as requested. Preserve explicit style options, including empty values, and move the regression cases from the Go layer into the backend suite. Assisted-by: Codex:GPT-6 --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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dependabot[bot]
|
1de492a1b6 |
chore(deps): bump docs/themes/hugo-theme-relearn from aa16cb1 to 657eb0c (#12718)
chore(deps): bump docs/themes/hugo-theme-relearn Bumps [docs/themes/hugo-theme-relearn](https://github.com/McShelby/hugo-theme-relearn) from `aa16cb1` to `657eb0c`. - [Release notes](https://github.com/McShelby/hugo-theme-relearn/releases) - [Commits](https://github.com/McShelby/hugo-theme-relearn/compare/aa16cb1ffeba3d0a07a6b29111eeb8a5d3a62d69...657eb0c78b6b304decd359529cc1ad815f57767c) --- updated-dependencies: - dependency-name: docs/themes/hugo-theme-relearn dependency-version: 657eb0c78b6b304decd359529cc1ad815f57767c dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> |
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mudler-agentandEttore Di Giacinto
|
849c177834 |
feat(llama-cpp): bump llama.cpp and add moe_cache_mib option (#12729)
Bump LLAMA_VERSION to b76b13379d3b (upstream 0.7.0 plus later commits). This is the same one-line change as the bot PR #12725. Add the moe_cache_mib model option. It sets upstream's moe_cache_size, a GPU cache for MoE experts kept in host memory, from a size in MiB. It is off by default. Invalid, negative or non-numeric values are ignored with a log line. Forks that predate the field ignore the option, using the same prepare.sh probe as the other fork-skew switches. Document the option, and cover the MiB to bytes conversion with a standalone unit test. Assisted-by: Claude:claude-sonnet-5-5 g++ Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler-agentandEttore Di Giacinto
|
c7ce0c602c |
fix: stop listing the models directory on request paths and cache GGUF header reads (#12683)
* fix(http): stop listing the models directory on embeddings and bearer requests Every embeddings request read the whole models directory before the body was parsed, even when the body named its model. On a network-backed models directory this cost seconds per request. Embeddings now binds the body first and looks up a default model only when the body has none, like chat. The pre-bind default lookup and the gpt-4o constant default are gone from that route. The first-available default lookup skips the directory when the filter cannot accept an unconfigured file. Every usecase filter rejects files without a config, so the scan never added results for them. Match-all, nil and name filters keep the scan. The bearer token check is now an exact test: a configured name, or one stat of that name in the models directory. The value is a literal, not a regular expression, and a name that is not a local relative path never matches a file. Assisted-by: Claude Code:claude-haiku-5-5 * perf(config): cache GGUF header reads for model defaults Model defaults re-parsed the GGUF header on every SetDefaults call, which runs per request and at startup reload. Put a bounded LRU in front of the parser, keyed by absolute path and validated by size and modification time. The cached value is a snapshot of the fields the defaults use, not the parser output. A changed size or mtime is a miss. Missing files and parse errors are not cached, so the existing fallback is unchanged. LOCALAI_DISABLE_GUESSING, the empty-path guard, the alias early return, the panic recovery and the context-size default are all kept in front of the cache. Assisted-by: Claude:claude-haiku-5-5 * test(http): cover listing-free default lookup on every usecase route Assisted-by: Claude Code:claude-haiku-5-5 * feat(config): persist the GGUF header cache per instance The header cache kept parsed GGUF results only in memory, so every restart parsed each model file again before its defaults were known. Write the cache to a per-instance file in the data path and load it at startup. A restarted frontend with a fixed instance ID starts warm. The file is versioned and records the estimator inputs (gguf-parser version, candidate contexts, auto context size, offload count). A mismatch on any of them makes the file ignored. Each entry keeps path, size and mtime, so a changed model file is a miss on load. Writes run on one background saver, debounced, through a temp file and rename. The entry bound applies to the file as well. Without a data path the cache stays in memory only. Documented as a per-instance exception in the model configuration docs. Assisted-by: Claude:claude-haiku-5-5 * docs(embeddings): document model selection and the no-model error Assisted-by: Claude Code:claude-haiku-5-5 * refactor(config): split the header cache into a generic cache The GGUF header cache mixed two things: the mechanics (bounded LRU keyed by path and identity, per-instance file, debounced atomic save, tolerant load) and the GGUF fields. Move the mechanics into headerCache[S], driven by a headerCacheSpec[S] that names the file prefix, schema, fingerprint, parser and the snapshot encode/decode pair. The GGUF cache becomes one instance of it. File names, the identity check, LRU size, debounce, atomic write and the corruption handling are unchanged. The on-disk JSON keeps the "estimator" key so existing files still load. Assisted-by: Claude Code:claude-haiku-5-5 * feat(config): share one GGUF header cache file between frontends Every frontend used to write its own header cache file, named after its instance ID, so a header read by one frontend was never reused by another. The cache now uses one file, header-cache.json, in the data path, for all frontends and for standalone mode. The instance ID no longer changes the file name. Frontends share the file in three ways. A save first merges the file's entries in, so one frontend's write does not drop another's entries. A miss reloads the file when its modification time has changed, and a hit never reads it. Writes go to a temp file that is renamed into place, so a reader never sees a partial file. Two frontends saving at the same moment can still drop each other's last entries. That costs one re-parse, never a wrong value, because every entry is checked against its model file before use. The shared file is valid only when every frontend mounts the same data volume. The distributed-mode and model-configuration docs state this mode and its volume limit. Assisted-by: Claude:claude-haiku-5-5 * feat(config): give an instance ID its own header cache file Assisted-by: Claude Code:claude-haiku-5-5 * style(config): gofmt the distributed config struct Assisted-by: Claude Code:claude-haiku-5-5 --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-botandlocalai-org-maint-bot
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f02d5244da |
fix(agents): warn about unowned data with auth (#12669)
Warn before the standalone pool starts root agents with user auth enabled. Count root agents, collections, skills, and configured skill repositories. Document the auth transition, bootstrap rules, and agent key behavior. Addresses the warning and documentation step of #12665. Admin visibility and data migration remain separate work. Assisted-by: Codex:GPT-6 Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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mudler-agentandEttore Di Giacinto
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e28d5009d9 |
stablediffusion-ggml: run MiniMax-H3 video with references and add its gallery entries (#12668)
* feat(stablediffusion-ggml): run MiniMax-H3 video with reference conditioning Bump stable-diffusion.cpp to 2988060 and follow its tiling rename (tile_size_x/y -> tile_size_w/h, rel_size_x/y -> rel_size_w/h). GenerateVideo now passes params["ref_image"] and the request audio to the MiniMax-H3 Ref2VA inputs (ref_images, ref_audios). The audio must be a WAV file. params["ref_video"] is refused, since the proto cannot carry a frame sequence yet. stable-diffusion.cpp cannot tell the FL2VA and REF2VA DiTs apart, and a reference input on FL2VA renders a wrong video without an error. The backend now reads the video_partition option, or the model file name, and fails early on that mix. Keyframes plus references are refused too. Add gallery entries for the FL2VA and REF2VA Q4_K_M sets. They do not enable any bf16 dequantisation. Assisted-by: Claude:claude-sonnet-5-5 go vet gofmt * feat(stablediffusion-ggml): take several reference images, videos and audio clips Phase 1 passed one reference image and one reference audio clip to stable-diffusion.cpp and refused ref_video. Add repeated reference fields to GenerateVideoRequest (ref_images, ref_videos, ref_audios) so the MiniMax-H3 Ref2VA path can use as many references as upstream accepts. A reference video is a directory of frames with an fps and an optional paired audio clip. The /video endpoint stages the new inputs through the same path as start_image, end_image and audio. Frames of one reference video are written to a private directory under zero-padded names so the backend can read them in order. The input count and frame count per request are bounded. The backend merges the new fields with params.ref_image, params.ref_video and audio, which keep working. The FL2VA partition refuses any reference input, REF2VA accepts all of them, and keyframes stay exclusive with references. Reference audio is still WAV only. Assisted-by: Claude:claude-sonnet-5-5 [Bash] * feat(gallery): offer MiniMax-H3 by partition, DiT layout and format Name each MiniMax-H3 entry after its partition (fl2va or ref2va), DiT layout (unpruned or pruned) and format. Add the vllm.cpp builds that its model page lists: pruned Q8_0 (renders), pruned Q6_K, Q5_0, Q4_K, Q3_K and Q2_K (load only), and the pruned FL2VA NVFP4 file (loads only). The earlier names minimax-h3-fl2va-q4 and minimax-h3-ref2va-q4 stay as aliases. The two stable-diffusion.cpp entries become minimax-h3-fl2va-unpruned-q4-ggml and minimax-h3-ref2va-pruned-q4-ggml, and the latter now lists video input. Fix two bad sources. The stable-diffusion.cpp entries took the VAEs from a path that does not exist in the GGUF repository; they now use the Comfy-Org copies. The vllm.cpp entries paired the fp16 video VAE weights with a config from a different directory; they now use the official weights and config from FL2VA/video_vae/source/. Drop video_dequant_bf16 from every vllm.cpp entry. Expanding a quantised DiT to bf16 is the suspected cause of a host out-of-memory error, so the quantised weights stay resident. The model page records its renders with the expansion on, and each description says so. Assisted-by: Claude:claude-sonnet-5-5 [Bash] * feat(gallery): add pruned FL2VA Q4 MiniMax-H3 for sd.cpp Add minimax-h3-fl2va-pruned-q4-ggml, the 11.4 GB pruned FL2VA counterpart of the existing pruned REF2VA entry. Assisted-by: Claude Code:claude-sonnet-5-5 [rc] --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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c44c32f15f |
docs(realtime): describe a client response whose commit failed
Document the failed and cancelled outcomes of a response.create that waits for the preceding input_audio_buffer.commit. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-bot
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2aa8821876 |
test(realtime): sample pending response events
Poll the event count during the held transcription instead of checking\na captured value. Document the client commit and response ordering.
Assisted-by: Codex:gpt-6
Signed-off-by: nexxtmobile.de <kai@nexxtmobile.de>
(cherry picked from commit
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localai-org-maint-bot
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f22fd45e21 |
fix(realtime): honor interrupt_response
Keep active responses running when VAD interruption is disabled. Skip
an overlapping automatic response while preserving its transcript and
conversation history. Default interruption and explicit client actions
keep their existing behavior.
Add regression coverage for both VAD modes and document skipped turns.
Assisted-by: Codex:gpt-6
(cherry picked from commit
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Richard Palethorpe
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3de91d48d9 |
feat(motion): add GEM-X backend and duplex streaming API
Add the GEM-X native backend with live pose and root displacement output, bounded duplex WebSocket streaming, session authorization, metrics and usage accounting. Share the embedded bidirectional RPC channel adapter across streaming backends.
Include backend build and gallery integration, API documentation, schemas and tests.
Assisted-by: Codex:gpt-6
Signed-off-by: Richard Palethorpe <io@richiejp.com>
(cherry picked from commit
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Ettore Di Giacinto
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29eba5b7f8 |
docs(models): describe what a queued manual import adds
A queued import goes through the gallery installer, so it persists recommended inference defaults and installs the backend when automatic backend installation is on, while the synchronous write stores the body as posted. Say so in the docs and the endpoint description, list the reference forms that are queued (URLs, hf:// and owner/repo, artifacts), and regenerate the swagger files. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-bot
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91fefbd78f |
fix(ui): stop cancelled imports before success
Cancelled gallery jobs also set processed. Handle cancellation before
completion so imports do not announce success or open a missing model.
Assisted-by: Codex:gpt-6
Signed-off-by: Plamen K. Kosseff <p.kosseff@gmail.com>
(cherry picked from commit
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Plamen K. Kosseff
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a50eb4e68a |
docs(models): document the queued manual imports — swagger, specs, docs
- swagger: annotate POST /models/import (untyped body: documenting it
as config.ModelConfig would inline the whole type graph, ~5.5k
generated lines; the description spells out the dual response) and
regenerate the spec
- tests: pin the admission contract of the queued branch — job id +
status URL, job queryable before the worker runs, config not written
at admission, preload-matching filenames, checksum passthrough, and
the untouched synchronous path
- docs: the Writing YAML section explains when Create queues and what
the API answers in each case
Assisted-by: Claude:claude-fable-5
Signed-off-by: Plamen K. Kosseff <p.kosseff@gmail.com>
(cherry picked from commit
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Ettore Di Giacinto
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e726b88acd |
fix(qdrant-store): warn about non-COSINE metrics and document them
With DOT, EUCLID or MANHATTAN the backend returns Qdrant's raw scores, not similarity-like values. Router, face and voice stores compare against cosine thresholds, so log a warning at load when another metric is configured, and document the behaviour on the stores page. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Anush008
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cb97cb1ed9 |
feat(stores): Adds Qdrant vector store backend
Signed-off-by: Anush008 <mail@anush.sh>
(cherry picked from commit
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Ettore Di Giacinto
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5aabc5891f |
docs(pii): describe what extend_to_previous_word also takes
Titles and prepositions in front of a name are taken as well, and using both directions on one name group swallows a following number. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Stefan Walcz
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e3341d21a0 |
feat(pii): extend a detection over the previous word (extend_to_previous_word)
The mirror of extend_to_next_word. A name model often tags the surname with
high confidence and scores the first name in front of it below min_score,
so "Gast Greta Waldmeister" became "Gast Greta [REDACTED:ner:LASTNAME]".
extend_to_previous_word lists entity groups whose accepted detections also
cover the word directly before them on the same line. The preceding word
must consist of letters (plus '-' and the apostrophe): a word with digits -
an amount, a date, a room number - is never taken, nor is a protected term,
and the search never crosses a line break.
Docs: operations/middleware.md and advanced/model-configuration.md.
Assisted-by: Claude Code:claude-opus-5-5
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
(cherry picked from commit
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Ettore Di Giacinto
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46d686fa1f |
docs(pii): state the limits of protected terms and next-word extension
Protected terms apply to the NER tier only and not to a pattern detector; extend_to_next_word also takes numbers and dates after a hit. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Stefan Walcz
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e16b9d04cc |
feat(pii): protected terms that pass the NER filter unchanged
A name model reads many business names as surnames. Measured with
privacy-filter-multilingual on 24 synthetic German receipts and
invoices: the supplier name ("Hotel Seeblick", "Café Lindenhof", ...)
was masked as LASTNAME (0.78-0.98) or FIRSTNAME in 9 of 12 receipts
that carried one. The supplier is exactly what the upstream model needs
to categorise a receipt, and no score floor helps at those confidences.
pii_detection.protected_terms (inline) and
pii_detection.protected_terms_files (files inside the models path, one
term per line, '#' comments, re-read when size or mtime change) list
values that must pass unchanged. Each whole-word, case-insensitive
occurrence is replaced by a neutral placeholder before the detector
runs; every detection is mapped back onto the original text with the
placeholder parts cut out, so a protected term is never masked or
blocked, the detector never sees it as context, and event offsets keep
addressing the original text. A word extension (extend_to_next_word)
is dropped rather than run into a protected term.
Terms shorter than three characters are ignored. A missing or
unreadable file is logged and skipped: fewer protected terms means more
masking, never less. Paths are verified to stay inside the models path.
Opt-in, empty by default. Covered by Ginkgo specs in
core/services/routing/pii/protected_test.go (detector-visible text,
exact restoration, straddling detections, whole-word/case/line-wrap
matching, the segment path, file loading and reload), a YAML round-trip
spec, registry entries and the middleware/model-configuration docs.
Assisted-by: Claude Code:claude-opus-5-5
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
(cherry picked from commit
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Ettore Di Giacinto
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180822c546 |
fix(mcp): require https for the oauth2 token_url
The client secret is sent to token_url, so a plain http endpoint would expose it. Reject non-https URLs except for loopback hosts, which keeps local identity providers and tests working. Document the restriction, recommend client_secret_env over a literal secret, and note that rotating a *_env secret needs a restart because sessions and cached tokens are keyed by configuration, not by the environment value. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-bot
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340b2537ae |
fix(mcp): redact credentials in JSON logs
JSON log handlers bypass String and serialize exported credentials.
Implement LogValue so remote server entries use the same redacted
representation in text and JSON logs. Extend the regression test
to cover both handlers.
Assisted-by: Codex:GPT-6
(cherry picked from commit
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localai-org-maint-bot
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c5997fd71a |
fix(mcp): check token expiry after failed refresh
A slow failed refresh can cross the token's safety margin.
Check the current time before reusing the token and start retry
backoff when the failed fetch finishes. Apply backoff before the
first successful fetch too.
Add regression tests for these cases and document per-process caches.
Assisted-by: Codex:GPT-6
(cherry picked from commit
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Stefan Walcz
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beaeb05e52 |
feat(mcp): support OAuth2 client_credentials for remote MCP servers
Remote MCP servers could only be authenticated with a static bearer
token. Deployments that put their MCP servers behind an OIDC provider
(authentik, Keycloak, Entra ID, ...) issue short-lived service tokens
instead, so LocalAI had to be given a long-lived key or could not
connect at all.
A remote server entry now accepts an optional "oauth2" block
(token_url, client_id/client_id_env, client_secret/client_secret_env,
scopes, endpoint_params). The token is fetched with the
client_credentials grant by an http.RoundTripper installed on the MCP
client's HTTP client, so streamable HTTP and SSE transports both use it.
The token is cached and refreshed at half of its lifetime; if a refresh
fails the current token is kept until 30s before expiry, after which
requests fail with an error instead of going out unauthenticated.
"token" and "oauth2" are mutually exclusive and inconsistent blocks are
rejected when the model config is loaded. Static tokens behave as
before. MCPRemoteServer now implements fmt.Stringer so the existing
debug logs that print whole server entries no longer write the token
or client secret in clear text.
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
Assisted-by: Claude Code:claude-opus-5-5
(cherry picked from commit
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Stefan Walcz
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9b13408c94 |
feat(pii): extend a detection over the next word (extend_to_next_word)
Address models tend to tag a postal code with high confidence but miss
or under-score the town right after it. Measured with
privacy-filter-multilingual on 24 synthetic German invoices: the postal
code was masked every time, while the town after it stayed in the clear
in 6 of 18 cases (4 not detected at all, 2 tagged CITY at 0.43/0.47,
below the configured floor). Masking the code alone leaves the pair half
redacted: "[REDACTED:ner:ZIPCODE] Ludwigshafen".
pii_detection.extend_to_next_word lists entity groups whose accepted
detections also cover the word that directly follows them on the same
line, with the same action and group. Horizontal whitespace is skipped,
a line break ends the search, and nothing is extended when no word
follows, so a hit never grows over bare whitespace or onto the next
line (or across the segment separator on the multi-message path).
The option is opt-in and empty by default; existing detector configs
behave exactly as before. Covered by Ginkgo specs in
core/services/routing/pii/extend_test.go (fail without the change), a
YAML round-trip spec, a registry entry for the model editor, and the
middleware and model-configuration docs.
Assisted-by: Claude Code:claude-opus-5-5
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
(cherry picked from commit
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localai-org-maint-botandlocalai-org-maint-bot
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a551c83465 |
fix(audio): preserve generated sound recordings (#12641)
FLAC normalization renames the backend's WAV destination. The next request then reuses that apparently vacant path and replaces the first recording when normalization runs again. Give each request a UUID filename, and test that successive FLAC outputs retain distinct paths and their original bytes. Addresses the overwrite report in #12633. Reference-audio input remains outside this fix. Assisted-by: Codex:gpt-6 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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mudler-agentandEttore Di Giacinto
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33459f2e2a |
feat(launcher): ship an AppImage on tagged releases (#12647)
* feat(launcher): package a Linux AppImage Ship the existing Fyne launcher as an additive release asset without bundling the server or changing its runtime downloader. Pin packaging tools and the type-2 runtime, preserve the caller environment, and document the native amd64 graphics requirements. Validate packaging contracts and wire extraction smoke checks into CI. Assisted-by: Codex:gpt-5 * fix(launcher): harden AppImage release checks PR builds must not receive repository write credentials. Isolate uploads in a gated job that consumes the tested artifact without checkout. Keep the existing release check and dependency on GoReleaser. A surviving process does not prove that the UI event loop works. Require observable startup progress, reject initialization errors, and bound termination. Document the remaining limits without changing the launcher application. Add permission and smoke failure regressions. Assisted-by: nib:unknown * fix(launcher): install file for AppImage builds appimagetool fails after Go compilation when file is missing. Install it explicitly in CI and document the local build dependency. Check for it before compilation and cover the missing-command failure in tests. Assisted-by: nib:unknown --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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f33034a925 |
chore: ⬆️ Update 0xShug0/audio.cpp to 96269554d00621fb0fca6b52b58919749eba1c8d (#12598)
* ⬆️ Update 0xShug0/audio.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * fix(audio-cpp): map new detection tasks Upstream adds wake-word and audio-classification task kinds. Preserve their capability names without routing them to unrelated audio RPCs. Assisted-by: Codex:gpt-6 --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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615446ae75 |
chore: ⬆️ Update ggml-org/llama.cpp to f2cc7282ce0042641df55e0e563b75e824e2b647 (#12601)
* ⬆️ Update ggml-org/llama.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * fix(llama-cpp): preserve chat session state Newer llama.cpp parsers return template state outside the request JSON. Pass that state to both inference tasks and response readers so grammar, tool calls, and reasoning remain available in both chat paths. Detect the parser API during preparation to preserve older fork builds. Assisted-by: Codex:gpt-6 --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |