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@mudler mudler released this 10 Jun 20:10
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v4.4.0
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Learn about vigilant mode.

🎉 LocalAI 4.4.0 Release! 🚀




LocalAI 4.4.0 is out!

This is a big, multimodal-and-distributed release. Two brand-new audio backends land - parakeet.cpp (NVIDIA NeMo Parakeet ASR) and CrispASR (a multi-architecture ASR and TTS engine) - alongside native object detection + segmentation (rfdetr-cpp), video understanding in llama-cpp, and LTX-2 video generation in stablediffusion-ggml. Distributed mode grows up: prefix-cache-aware routing is on by default, and file transfers become resumable. There's a new intelligent middleware layer for request routing, PII filtering and cloud-model proxying, a security hardening pass that closes a credential-leak class across every outbound HTTP client, an interactive local-ai chat CLI, RAG source citations for agents, and a long run of reasoning / tool-call streaming fixes.

📌 TL;DR

Area Summary
🎙️ Two new ASR backends parakeet-cpp (NeMo FastConformer TDT/CTC/RNNT, streaming, word/segment timestamps) and crispasr (many ASR architectures + TTS in one binary).
🧭 Intelligent Middleware Capability-based model routing, PII detection/redaction, cloud-model proxies + a MITM proxy for subscription-auth Claude Code / Codex.
🛰️ Distributed v4 Prefix-cache-aware routing (on by default), NATS JWT auth + TLS/mTLS, worker registration-token enforcement, resumable HTTP file transfers, boot-time model prefetch, ds4 layer-split inference.
🎥 Video, both ways Video input (understanding) in llama-cpp via mtmd, and video generation via LTX-2 in stablediffusion-ggml.
👁️ Detection + Segmentation New native rfdetr-cpp backend (RF-DETR), 32 prebuilt GGUFs, bbox + per-detection PNG masks.
🔐 Outbound HTTP hardening pkg/httpclient refuses cross-host credential-leaking redirects across every outbound client (GHSA-3mj3-57v2-4636).
🗣️ TTS per-request control instructions + a generic params map plumbed end to end (Qwen3-TTS VoiceDesign / CustomVoice, Chatterbox).
💻 local-ai chat Interactive terminal chat against a running server, with /models, /model, /clear.
📚 RAG citations Agent answers now append a clickable Sources: block from the Knowledge Base.
🧠 Models Gemma 4 QAT family + QAT-matched MTP speculative-decoding bundles, Ideogram4, LTX-2.3 22B GGUFs.

🚀 New Features & Major Enhancements

🎙️ Audio Gets Serious: Two New ASR Backends

This release doubles down on speech-to-text with two independent, cgo-less Go backends (purego, CGO_ENABLED=0), each shipping a full CI matrix, gallery importer and docs.

parakeet-cpp - NVIDIA NeMo Parakeet (#10084). Wraps parakeet.cpp, a C++/ggml port of NeMo Parakeet (FastConformer TDT/CTC/RNNT/hybrid) that matches the upstream PyTorch models on CPU. Text transcription, OpenAI-compatible word timestamps, and cache-aware streaming (16 kHz PCM chunks, <EOU>/<EOB> utterance boundaries). GGUFs for all 10 Parakeet models × 5 quants ship in mudler/parakeet-cpp-gguf. Follow-ups in this cycle made it production-grade:

  • Dynamic batching (#10112) - concurrent transcription requests are batched for throughput.
  • Real, NeMo-faithful segment timestamps (#10207) - words are grouped into segments exactly like NeMo's get_segment_offsets (sentence-punctuation boundaries by default, opt-in segment_gap_threshold silence splitting in encoder frames). Streaming FinalResult segments now carry start/end when the library exposes the ABI v4 JSON entry points.
  • nemotron-3.5-asr multilingual streaming (#10199) + per-request language selection.

crispasr - many architectures + TTS in one backend (#10099). Wraps CrispASR (a whisper.cpp/ggml fork, MIT) through its session C-ABI. One backend serves ASR or TTS depending on the loaded model, with the architecture auto-detected from the GGUF (or forced via backend:). The gallery gains 36 -crispasr entries (32 ASR + 4 TTS):

  • ASR (e2e-verified across Whisper / Parakeet / Moonshine): parakeet, canary, cohere, qwen3, voxtral, granite, fastconformer-ctc, wav2vec2, hubert, data2vec, glm-asr, kyutai-stt, firered-asr, moonshine, mimo-asr, and more.
  • TTS (all four e2e-verified to valid 24 kHz mono WAV): vibevoice, chatterbox, qwen3-tts CustomVoice, orpheus - via backend: / codec: / speaker: / voice: model options.

🧭 Intelligent Middleware: Routing, PII Filtering & Cloud Proxies

A new middleware layer (#9802) analyzes, routes, filters and transforms chat requests before they hit a model.

  • Capability-based routing. Requests are classified (e.g. via an ArchRouter-style model) and scored across the capabilities they may require, then routed to the smallest model that satisfies them - easy requests go to small specialized models, hard or uncertain ones to larger general-purpose models. Classified embeddings are reused via cosine similarity so similar requests skip re-classification.
  • PII filtering. Private information is detected per-pattern and can be redacted, rerouted, or blocked, with a streaming PII filter that preserves a buffered-emit invariant on /v1/chat/completions, Anthropic /v1/messages, and /v1/completions. A per-model PII pattern editor lives in the model config UI.
  • Cloud model proxies + MITM. Cloud models and a MITM proxy can take part in routing/filtering - send easy requests to local models and hard ones to the cloud, and use Claude Code / Codex subscriptions (OAuth) through the PII filter via the MITM proxy (subject to provider ToS). Emits proxy_connect + proxy_traffic audit events and restores its listener from runtime_settings.json on restart.

Usage stats are recorded end to end and surfaced in REST, the UI, and MCP. Outbound clients used by this path were also the trigger for the security pass below.

🛰️ Distributed Mode v4

Distributed mode keeps maturing across routing, security and resilience.

Prefix-cache-aware routing, on by default (#10071). Routing now biases toward the replica that already holds the relevant KV/prefix cache, as a load-guarded hint that never routes worse than today's round-robin. A generic prefix tree (pkg/radixtree) maps cumulative prompt-prefix hashes to nodes; core/services/nodes/prefixcache turns the rendered prompt into a deterministic xxhash chain and makes a filter-then-score decision (narrow to load-eligible replicas, then prefer the longest-prefix match), feeding a preferredNodeID into the existing atomic SELECT ... FOR UPDATE pick. Observations sync across frontends over NATS. Round-robin is the floor; disable with --distributed-prefix-cache=false.

NATS JWT auth + TLS/mTLS (#10159). Previously anyone with access to the NATS port could publish backend-install messages or agent jobs (an SSRF / accidental-exposure risk). This adds JWT authentication and TLS/mTLS options, with workers acquiring and auto-refreshing their NATS credentials. Complemented by worker file-transfer registration-token enforcement (#10183).

Resumable file transfers (#10109). Large model GGUFs over flaky/throttled links no longer restart from byte 0. The worker's PUT /v1/files/<key> honors Content-Range (308/416 resume semantics, X-Content-SHA256 binding, final-hash verification) and the master-side stager HEAD-probes for the last accepted offset and resumes, switching to an outer time budget (LOCALAI_FILE_TRANSFER_BUDGET, default 1h) with exponential backoff.

ds4 layer-split distributed inference (#10098). Manual layer-split inference for the ds4 backend: a coordinator owns layers 0:K and listens; workers dial in and own higher ranges, each loading only its slice of the GGUF (a new dependency-free ds4-worker binary, driven via local-ai worker ds4-distributed). Fully back-compatible when ds4_role is absent.

Operational glue. Boot-time gallery prefetch via LOCALAI_PREFETCH_MODELS (#10108); a gated X-LocalAI-Node response header for attribution (#9976); plus fixes: self-heal stale "model not loaded" routing (#10181), stage directory-based models to remote nodes (#10175), in-flight tracking for non-LLM methods - VAD, diarize, voice (#10238), reconciler survives frontend restarts (#9981), cross-replica OpCache sync (#9983), and the reinstall/upgrade UI no longer sticks on "reinstalling" (#10214).

🎥 Video, Both Directions

Video input / understanding in llama-cpp (#10216). Video-capable multimodal models (e.g. SmolVLM2-Video) can now be sent a video in a chat request, mirroring the existing image and audio paths. Tracks the upstream mtmd video landing (ggml-org/llama.cpp#24269); grpc-server.cpp forwards request->videos() into the mtmd files vector on both the template and non-template paths, and the React chat UI accepts video/*, renders an inline <video controls> player, and emits video_url content parts. allow_video is auto-gated by whether the loaded mmproj supports it. ffmpeg/ffprobe (already in the runtime image) extract frames.

Video generation via LTX-2 (#9980). stablediffusion-ggml wires audio_vae_path and embeddings_connectors_path through to the upstream LTX-2 fields, with a new gallery/ltx-ggml.yaml template (T2V / I2V / FLF2V recipes) and six LTX-2.3 22B GGUF gallery entries (dev + distilled, UD-Q4_K_M / Q4_K_M / Q8_0), each bundling the text encoder + video VAE + audio VAE + embeddings connectors. Follow-up fixes wired the diffusion_model flag and vae_decode_only:false for the i2v/flf2v paths (#9986, #9987) and muxed LTX-2 audio into the output MP4 (#9990).

👁️ Native Object Detection + Segmentation: rfdetr-cpp

A new Go native gRPC backend (#10028) dlopens librfdetr.so (built from mudler/rf-detr.cpp) and exposes the RF-DETR pipeline through LocalAI's Detect RPC. Supports all 5 detection variants (Nano…Large) and 3 segmentation variants (SegNano/SegSmall/SegMedium) at F32/F16/Q8_0/Q4_K, with 32 prebuilt GGUFs on HuggingFace. Detection returns bbox + class_name + confidence; segmentation adds per-detection PNG-encoded masks. Matches PyTorch on CPU (sub-pixel bbox match, mask IoU 0.99+), with an HF gallery importer that auto-routes GGUF repos to the native backend.

🔗 PR: #10028. Also new: Ideogram4 support in stablediffusion-ggml (#10201).

🗣️ TTS: Per-Request Instructions & Params

The OpenAI-compatible /v1/audio/speech instructions field was silently dropped at the HTTP→gRPC boundary, so style/voice could only come from static YAML. PR #10172 plumbs a generic per-request instructions string and an optional backend-specific params map end to end (proto, schema, core/backend/tts.go), unlocking per-line emotion/style (Qwen3-TTS CustomVoice, Chatterbox) and describe-a-voice (Qwen3-TTS VoiceDesign) from a single model config. Fully backward compatible - empty instructions falls back to YAML.

curl http://localhost:8080/v1/audio/speech -H "Content-Type: application/json" -d '{
  "model": "qwen-tts-design",
  "input": "Hello world, this is a test.",
  "instructions": "A calm, low-pitched elderly storyteller with a warm tone."
}'

Also: Qwen3-TTS request-language normalization for flexible matching (#10174), and LocalVQE v1.3 with input/output spectrogram views in the Audio Transform UI (#10113).

🧠 Reasoning & Tool-Call Streaming Hardening

A focused run of correctness fixes for reasoning models and streaming tool calls:

  • reasoning_effort honored per request and forwarded to the backend so jinja models can act on it (#10082, #10184).
  • <think> parsing: stop <think> leaking into content in pure-content mode (#9991), stop a prefilled <think> from swallowing tag-less answers (#10225), and don't auto-enable self-spec MTP for draft-only assistant GGUFs (#10208).
  • Streaming + tools: stop tool-call double-emission when the autoparser is active (#10055), stop tool-call JSON leaking into content on tokenizer-template models (#10057), validate auto-detected XML tool-call names with a robust glm-4.5/Hermes guard (#10059), and stop healing-marker stubs / prefill-misclassified content from corrupting the stream (#9999, #10000).

💻 local-ai chat + 📚 RAG Citations + 🛰️ Realtime

  • Interactive CLI chat (#10226). A new opt-in local-ai chat command connects to a running server over the OpenAI-compatible API, streams completions, and supports /models, /model <name>, /clear, /exit. Keeps local-ai run focused on the server lifecycle. (Fixes #1535.)
  • RAG source citations (#10228). When an agent answers from the Knowledge Base, the response now appends a clickable Sources: block listing the original documents - deduplicated per source, with the citation-free version saved to long-term memory. (Closes #9331.)
  • Configurable WebRTC ICE candidates (#10231). New LOCALAI_WEBRTC_NAT_1TO1_IPS / LOCALAI_WEBRTC_ICE_INTERFACES knobs fix /v1/realtime calls dropping a few seconds in under Docker host networking (unroutable docker0/veth candidates).
  • "Fits in my GPU" filter (#10017) on the Install Models page, plus a single shared /api/operations poller across UI consumers (#10029) and a React bundle code-split (#10042).

🧩 Backend Capability Registration & Startup Speed

  • Backend capability registration fixes so the right backend is picked for the right job: register 5 backends missing from BackendCapabilities (#10107), and add face/speaker-recognition constants registering insightface + speaker-recognition (#10110).
  • Faster startup (#10213): skip vocab arrays and mmap GGUF headers during config parsing.
Click for the full changelog below!

What's Changed

Bug fixes 🐛

  • fix(config): register 5 backends missing from BackendCapabilities by @Dennisadira in #10107
  • fix(config): register parakeet-cpp as a transcript backend (#9718) by @Dennisadira in #10106
  • fix(parakeet-cpp): cublas/hipblas/vulkan builds were silently CPU-only by @localai-bot in #10120
  • fix(nemo): pin texterrors to 1.1.6 for GLIBCXX compatibility by @fqscfqj in #10134
  • fix(parakeet-cpp): convert audio before the non-batched transcribe path by @localai-bot in #10161
  • fix(distributed): stage directory-based models to remote nodes by @localai-bot in #10175
  • fix(config): add face/speaker recognition constants and register insightface + speaker-recognition by @Dennisadira in #10110
  • fix(distributed): self-heal stale 'model not loaded' routing by @localai-bot in #10181
  • fix(docs): use relearn notice shortcode instead of unsupported alert by @localai-bot in #10206
  • fix(mtp): don't auto-enable self-spec MTP for draft-only assistant GGUFs by @localai-bot in #10208
  • fix(config): skip vocab arrays and mmap GGUF headers to speed up startup by @Dennisadira in #10213
  • fix: distributed backend reinstall/upgrade UI stuck on 'reinstalling' by @localai-bot in #10214
  • fix(reasoning): stop prefilled from swallowing tag-less answers by @localai-bot in #10225
  • fix(cli): handle chat output errors by @Oceankj in #10229
  • fix(distributed): track in-flight for non-LLM inference methods (VAD, diarize, voice, ...) by @localai-bot in #10238

Exciting New Features 🎉

  • feat: prefix-cache-aware routing for distributed mode by @localai-bot in #10071
  • feat(ds4): layer-split distributed inference by @localai-bot in #10098
  • feat(crispasr): add CrispASR backend — multi-architecture ASR + TTS by @localai-bot in #10099
  • feat(worker): add LOCALAI_PREFETCH_MODELS for boot-time gallery prefetch by @localai-bot in #10108
  • feat(distributed): resumable file uploads via HTTP Content-Range by @localai-bot in #10109
  • feat(localvqe/audio): v1.3 release and add spectrograms to audio transform UI by @richiejp in #10113
  • feat(parakeet-cpp): dynamic batching for concurrent transcription requests by @localai-bot in #10112
  • feat(distributed): Add NATS JWT authentication and TLS/mTLS options by @richiejp in #10159
  • feat(tts): support per-request instructions and params by @localai-bot in #10172
  • feat(qwen3-tts-cpp): normalize request language for flexible matching by @localai-bot in #10174
  • feat(distributed): enforce registration token for worker file transfer by @richiejp in #10183
  • feat: forward reasoning_effort to the backend so jinja models honor it by @localai-bot in #10184
  • Harden gallery-agent Hugging Face fetches against transient rate limiting by @Copilot in #10187
  • feat(parakeet-cpp): nemotron-3.5-asr multilingual streaming model + request language support by @localai-bot in #10199
  • feat: support Ideogram4 in stablediffusion-ggml backend + gallery by @localai-bot in #10201
  • feat(parakeet-cpp): real segment timestamps (NeMo-faithful) by @localai-bot in #10207
  • feat(llama-cpp): video input support (mtmd #24269) by @localai-bot in #10216
  • feat(agents): surface KB source citations in RAG responses by @petechentw in #10228
  • feat(cli): add interactive chat mode by @Oceankj in #10226
  • feat(realtime): make WebRTC ICE candidates configurable by @localai-bot in #10231

🧠 Models

  • chore(model gallery): 🤖 add 1 new models via gallery agent by @localai-bot in #10163
  • chore(model gallery): 🤖 add 1 new models via gallery agent by @localai-bot in #10200
  • chore(model gallery): 🤖 add 1 new models via gallery agent by @localai-bot in #10209
  • feat(gallery): add Gemma 4 QAT family + MTP speculative-decoding pairs by @localai-bot in #10215

📖 Documentation and examples

👒 Dependencies

  • chore: ⬆️ Update ikawrakow/ik_llama.cpp to 3f40e73c367ad9f0c1b1819f28c7348c26aa340d by @localai-bot in #10097
  • chore: ⬆️ Update antirez/ds4 to ba00a8a88c4c5810a3d1fed6b7b8fa2b44b82fdc by @localai-bot in #10095
  • chore: ⬆️ Update leejet/stable-diffusion.cpp to d2797b86670622b6538123b4aeb5fbb6be2653c5 by @localai-bot in #10094
  • chore: ⬆️ Update ggml-org/llama.cpp to d6588daa800058dfa54f1d7ea695b1a810c8ae18 by @localai-bot in #10093
  • chore: ⬆️ Update mudler/parakeet.cpp to cb45f68068081af01e7092e91b038ee353eb56be by @localai-bot in #10116
  • chore: ⬆️ Update ggml-org/whisper.cpp to fe69461618ffc50ba8afa65c25cc6c6e34d4537f by @localai-bot in #10117
  • chore: ⬆️ Update leejet/stable-diffusion.cpp to be65ac7511b30379b003626c15224798929e33d4 by @localai-bot in #10118
  • chore: ⬆️ Update ggml-org/llama.cpp to 399739d5c5978351f39e3454bfbfbab4f369088f by @localai-bot in #10119
  • chore(model-gallery): ⬆️ update checksum by @localai-bot in #10131
  • chore: ⬆️ Update ggml-org/whisper.cpp to 23ee03506a91ac3d3f0071b40e66a430eebdfa1d by @localai-bot in #10130
  • chore: ⬆️ Update leejet/stable-diffusion.cpp to 7948df8ac1070f5f6881b8d34675821893eb97d6 by @localai-bot in #10127
  • chore: ⬆️ Update mudler/parakeet.cpp to 8a7c48209d7882a7ce79a6b306270e4703194543 by @localai-bot in #10129
  • chore: ⬆️ Update ggml-org/llama.cpp to 5dcb71166686799f0d873eab7386234302d05ecf by @localai-bot in #10128
  • chore: ⬆️ Update CrispStrobe/CrispASR to 05e60432bcb5bc2113f8c395a41e86497c11504a by @localai-bot in #10115
  • chore(deps): bump github.com/mudler/edgevpn from 0.32.2 to 0.34.0 by @dependabot[bot] in #10153
  • chore: ⬆️ Update mudler/parakeet.cpp to 9edf17c3ada66e0f881dcff155492867db7ac4cf by @localai-bot in #10141
  • chore(deps): bump go.opentelemetry.io/otel/exporters/prometheus from 0.65.0 to 0.66.0 by @dependabot[bot] in #10151
  • chore(deps): bump grpcio from 1.80.0 to 1.81.0 in /backend/python/vllm by @dependabot[bot] in #10157
  • chore(deps): bump github.com/google/go-containerregistry from 0.21.5 to 0.21.6 by @dependabot[bot] in #10149
  • chore: ⬆️ Update leejet/stable-diffusion.cpp to 2d40a8b2adcdf8b5b0ca0535f3bb7801b6ba13e5 by @localai-bot in #10144
  • chore(deps): bump securego/gosec from 2.22.9 to 2.27.1 by @dependabot[bot] in #10147
  • chore: ⬆️ Update ggml-org/whisper.cpp to 610e664ba7cfe3af46125ed1b5a1184fccb51bcd by @localai-bot in #10140
  • chore(deps): bump grpcio from 1.80.0 to 1.81.0 in /backend/python/transformers by @dependabot[bot] in #10158
  • chore: ⬆️ Update ggml-org/llama.cpp to 5c394fdc8b564eff6faacc50a139529d875f0e36 by @localai-bot in #10143
  • chore: ⬆️ Update antirez/ds4 to 477c0e82e2699b35a65fd0a1ed6fe66b41087dfe by @localai-bot in #10142
  • chore(model-gallery): ⬆️ update checksum by @localai-bot in #10169
  • chore: ⬆️ Update ggml-org/llama.cpp to 94a220cd6745e6e3f8de62870b66fd5b9bc92700 by @localai-bot in #10168
  • chore: ⬆️ Update leejet/stable-diffusion.cpp to 1f9ee88e09c258053fa59d5e05e23dfb10fa0b13 by @localai-bot in #10166
  • chore: ⬆️ Update CrispStrobe/CrispASR to 13d54e110e1538e0f0bc3af0680b9ab246cfb48d by @localai-bot in #10145
  • chore: ⬆️ Update predict-woo/qwen3-tts.cpp to 136e5d36c17083da0321fd96512dc7b263f94a44 by @localai-bot in #10165
  • chore: ⬆️ Update mudler/parakeet.cpp to b11fe5bca78ad8b342dd559a43d76df3984bb447 by @localai-bot in #10167
  • chore: ⬆️ Update ikawrakow/ik_llama.cpp to 1520eda980564241434b791ce2bbbd128c4be9ea by @localai-bot in #10180
  • chore: ⬆️ Update ggml-org/llama.cpp to 7c158fbb4aec1bdc9c81d6ca0e785139f4826fae by @localai-bot in #10179
  • chore: ⬆️ Update ggml-org/whisper.cpp to 99613cb720b65036237d44b52f753b51f75c2797 by @localai-bot in #10178
  • chore: ⬆️ Update vllm-project/vllm cu130 wheel to 0.22.1 by @localai-bot in #10188
  • chore: bump LocalAGI + localrecall (fix pgvector hybrid search seqscan, #10186) by @localai-bot in #10192
  • chore: ⬆️ Update mudler/parakeet.cpp to 843600590f96a31467a5199f827c253f34c110f7 by @localai-bot in #10198
  • chore: ⬆️ Update ikawrakow/ik_llama.cpp to 6b9de3dbaa21ae95ea80638e5ee836795cc48c93 by @localai-bot in #10190
  • chore: ⬆️ Update mudler/parakeet.cpp to abd0087dcc92ec5ad1f96f9fd86c49eb26a5ce67 by @localai-bot in #10204
  • chore: ⬆️ Update ggml-org/whisper.cpp to a8ec021f2750a473ff4a8f3883bc9fdf5feafa84 by @localai-bot in #10202
  • chore(turboquant): bump to 7d9715f1 + fix compilation against rebased fork by @localai-bot in #10205
  • chore: ⬆️ Update ggml-org/llama.cpp to 31e82494c0a3913c919c1027fa70500fbf4c07dd by @localai-bot in #10191
  • chore: ⬆️ Update mudler/parakeet.cpp to e270af73b94c9a5c37ec516230219ed4580e1db6 by @localai-bot in #10212
  • chore: ⬆️ Update leejet/stable-diffusion.cpp to b3d56d0ba1bd437886079e339118e8e75bb79ee7 by @localai-bot in #10211
  • chore: ⬆️ Update ggml-org/llama.cpp to 9e3b928fd8c9d14dbf15a8768b9fdd7e5c721d66 by @localai-bot in #10210
  • chore: ⬆️ Update antirez/ds4 to c463029c205c2ec8d7ab6c0df4a3f52979091286 by @localai-bot in #10189
  • chore: ⬆️ Update CrispStrobe/CrispASR to f7838a306687f22c281d29c250f879a4ab3df2d7 by @localai-bot in #10177
  • chore: ⬆️ Update antirez/ds4 to 512d07cb08f234b704b5a5959aa9e2d4c466eeb0 by @localai-bot in #10224
  • chore: ⬆️ Update ikawrakow/ik_llama.cpp to 2768b6251548b78b6610e95edad13f888ad95982 by @localai-bot in #10219
  • chore: ⬆️ Update leejet/stable-diffusion.cpp to 19bdfe22d255d5b4dff39d449318b9bc5ea2317f by @localai-bot in #10222
  • chore: ⬆️ Update CrispStrobe/CrispASR to 97cad527d247edefc904e6c40c4cf5ee78bed055 by @localai-bot in #10221
  • chore: ⬆️ Update ggml-org/whisper.cpp to df7638d8229a243af8a4b5a8ae557e0d74e0a0ae by @localai-bot in #10220
  • chore: ⬆️ Update ikawrakow/ik_llama.cpp to e6f8112f3ba126eed3ff5b30cdd08085414a7516 by @localai-bot in #10233
  • chore: ⬆️ Update antirez/ds4 to 91bafb5acd5a6cf00b1e55ef68bf40ddd207bee7 by @localai-bot in #10234
  • chore: ⬆️ Update ggml-org/llama.cpp to 039e20a2db9e87b2477c76cc04905f3e1acad77f by @localai-bot in #10223
  • chore: ⬆️ Update CrispStrobe/CrispASR to c29f6653a516a3001d923944dad8892072cc7334 by @localai-bot in #10236

Other Changes

  • refactor(routing): extract replica picker into pkg/clusterrouting by @localai-bot in #10123
  • test(react-ui): add page render-smoke specs, reset the coverage gate by @richiejp in #10122

🙌 New Contributors

Enjoy!

Full Changelog: v4.3.0...v4.4.0

Contributors

richiejp, mudler, and 9 other contributors
Assets 9
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