docs: preserve 31 untracked blog drafts

docs/content/blog/2024-04-24-reranker-api.md

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+title = "Reranker API"
+date = 2024-04-24
+description = "A new reranker backend implementing the Jina rerankers API."
+url = "/blog/reranker-api/"
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+
+A new reranker backend lands, implementing the Jina rerankers API, in [PR #2121](https://github.com/mudler/LocalAI/pull/2121).
+
+See [Reranker]({{% relref "features/reranker" %}}).

docs/content/blog/2024-05-14-distributed-and-p2p-inferencing.md

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+title = "Distributed and decentralized P2P inferencing"
+date = 2024-05-14
+description = "Distributed llama.cpp inferencing, followed by fully decentralized peer-to-peer inference."
+url = "/blog/distributed-and-p2p-inferencing/"
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+
+Two changes that set up everything LocalAI later built on top of:
+
+- [Distributed llama.cpp inferencing](https://github.com/mudler/LocalAI/pull/2324), splitting a model across machines.
+- [Totally decentralized, private, distributed peer-to-peer inference](https://github.com/mudler/LocalAI/pull/2343).
+
+See [Distributed inferencing]({{% relref "features/distributed_inferencing" %}}).

docs/content/blog/2024-08-02-p2p-federation-and-swarms.md

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+title = "P2P dashboard, federated mode and AI swarms"
+date = 2024-08-02
+description = "A P2P dashboard, federation, AI swarms, global community pools, FLUX-1 support and the P2P Explorer."
+url = "/blog/p2p-federation-and-swarms/"
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+
+The peer-to-peer work matured over July and August:
+
+- [A P2P dashboard, federated mode and AI swarms](https://github.com/mudler/LocalAI/pull/2723).
+- [Global community pools](https://github.com/mudler/LocalAI/issues/3113), for sharing federated instances and workers.
+- FLUX-1 support.
+- The [P2P Explorer](https://explorer.localai.io).
+
+See [Distributed inferencing]({{% relref "features/distributed_inferencing" %}}).

docs/content/blog/2024-10-01-examples-moved-out.md

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+title = "Examples move to LocalAI-examples"
+date = 2024-10-01
+description = "The examples directory leaves the main repository and gets its own home."
+url = "/blog/examples-moved-out/"
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+
+The examples have moved out of the main repository into [LocalAI-examples](https://github.com/mudler/LocalAI-examples), where they can be versioned and maintained independently of the runtime.

docs/content/blog/2024-11-20-vad-and-bark-cpp.md

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+title = "Voice Activity Detection and bark.cpp"
+date = 2024-11-20
+description = "Silero-based Voice Activity Detection, plus a bark.cpp backend for audio generation."
+url = "/blog/vad-and-bark-cpp/"
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+
+- [Voice Activity Detection](https://github.com/mudler/LocalAI/pull/4204), via a Silero VAD backend. See [Voice activity detection]({{% relref "features/voice-activity-detection" %}}).
+- [A bark.cpp backend](https://github.com/mudler/LocalAI/pull/4287) for audio generation.

docs/content/blog/2024-12-03-stablediffusion-cpp-backend.md

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+title = "stablediffusion.cpp backend (ggml)"
+date = 2024-12-03
+description = "A ggml-based stablediffusion.cpp backend for image generation."
+url = "/blog/stablediffusion-cpp-backend/"
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+
+A ggml-based `stablediffusion.cpp` backend lands for image generation, in [PR #4289](https://github.com/mudler/LocalAI/pull/4289).
+
+See [Image generation]({{% relref "features/image-generation" %}}).

docs/content/blog/2025-07-24-modular-backend-architecture.md

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+title = "Backends move outside the main binary"
+date = 2025-07-24
+description = "All backends migrate out of the main binary, leaving a lightweight modular core that pulls engines on demand."
+url = "/blog/modular-backend-architecture/"
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+
+All backends have been migrated outside the main binary. The core stays small, and each backend is an isolated service installed on demand.
+
+This is the architecture LocalAI still runs on: install, update or remove engines independently, and mix CPU, NVIDIA, AMD, Intel, Apple Silicon, Vulkan and Jetson in one deployment.
+
+See [Backends]({{% relref "features/backends" %}}) and the [v3.2.0 release notes](https://github.com/mudler/LocalAI/releases/tag/v3.2.0).

docs/content/blog/2025-08-12-apple-silicon-backends.md

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+title = "MLX, MLX-VLM, Diffusers and llama.cpp on Apple Silicon"
+date = 2025-08-12
+description = "Apple Silicon gains first-class backend coverage."
+url = "/blog/apple-silicon-backends/"
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+
+MLX, MLX-VLM, Diffusers and llama.cpp are now supported on Apple Silicon, giving Mac users the same backend choice available elsewhere.
+
+Released as part of [v3.4.0](https://github.com/mudler/LocalAI/releases/tag/v3.4.0).

docs/content/blog/2025-09-03-launcher-and-extended-backends.md

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+title = "New launcher, extended backend support, MLX-Audio and WAN 2.2"
+date = 2025-09-03
+description = "A desktop launcher for macOS and Linux, wider backend coverage for Mac and Nvidia L4T, MLX-Audio and WAN 2.2."
+url = "/blog/launcher-and-extended-backends/"
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+
+- A new [launcher app](https://github.com/mudler/LocalAI/pull/6127) for macOS and Linux, so LocalAI can be started and managed without the terminal.
+- Extended backend support for Mac and Nvidia L4T.
+- MLX-Audio.
+- WAN 2.2.
+
+Released as part of [v3.5.0](https://github.com/mudler/LocalAI/releases/tag/v3.5.0).

docs/content/blog/2025-10-05-mcp-support.md

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+title = "Model Context Protocol (MCP) support"
+date = 2025-10-05
+description = "Agentic capabilities through MCP, with a new chat/completion endpoint that can call MCP tools."
+url = "/blog/mcp-support/"
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+
+LocalAI gains [Model Context Protocol](https://modelcontextprotocol.io) support for agentic capabilities, through [a new chat/completion endpoint](https://github.com/mudler/LocalAI/pull/6381) that can reach MCP tools, plus [a UI toggle to enable it](https://github.com/mudler/LocalAI/pull/6400).
+
+See [MCP]({{% relref "features/mcp" %}}).

docs/content/blog/2025-11-24-import-models-via-url-and-chat-history.md

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+title = "Import models via URL, multiple chats and history"
+date = 2025-11-24
+description = "Point LocalAI at a model URL to import it, and keep several chat threads with their history in the UI."
+url = "/blog/import-models-via-url-and-chat-history/"
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+
+Two usability changes:
+
+- [Import models via URL](https://github.com/mudler/LocalAI/pull/7245). Paste a model URL and LocalAI handles the download and configuration.
+- [Multiple chats and history](https://github.com/mudler/LocalAI/pull/7325) in the UI, so conversations persist and can run in parallel.

docs/content/blog/2025-12-16-memory-reclaimer-and-multi-gpu-fitting.md

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+title = "Dynamic memory reclaimer, multi-GPU fitting and Vibevoice"
+date = 2025-12-16
+description = "Reclaim GPU memory from idle models, fit llama.cpp models across multiple GPUs automatically, and generate long-form speech with Vibevoice."
+url = "/blog/memory-reclaimer-and-multi-gpu-fitting/"
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+
+Three additions this month:
+
+- [A dynamic memory resource reclaimer](https://github.com/mudler/LocalAI/pull/7583), which frees GPU memory held by idle models.
+- [Automatic multi-GPU model fitting for llama.cpp](https://github.com/mudler/LocalAI/pull/7584), so a model too large for one device is split across several without hand-tuning.
+- [The Vibevoice backend](https://github.com/mudler/LocalAI/pull/7494) for long-form speech.

docs/content/blog/2026-01-18-localai-3-10-0.md

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+title = "LocalAI 3.10.0"
+date = 2026-01-18
+description = "Anthropic API support, the Open Responses API, video and image generation with LTX-2, unified GPU backends, tool streaming, Moonshine and Pocket-TTS."
+url = "/blog/localai-3-10-0/"
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+
+LocalAI 3.10.0 is out.
+
+- Anthropic API support.
+- The Open Responses API.
+- Video and image generation with LTX-2.
+- Unified GPU backends.
+- Tool streaming.
+- Moonshine and Pocket-TTS.
+
+[Full release notes](https://github.com/mudler/LocalAI/releases/tag/v3.10.0).

docs/content/blog/2026-02-05-realtime-api-and-ace-step.md

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+title = "Realtime API and ACE-Step 1.5"
+date = 2026-02-05
+description = "Audio-to-audio with tool calling through the Realtime API, plus ACE-Step 1.5 music generation."
+url = "/blog/realtime-api-and-ace-step/"
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+
+Two additions this month:
+
+- [The Realtime API for audio-to-audio with tool calling](https://github.com/mudler/LocalAI/pull/6245). See [Realtime API]({{% relref "features/openai-realtime" %}}).
+- [ACE-Step 1.5 support](https://github.com/mudler/LocalAI/pull/8396) for music generation.

docs/content/blog/2026-03-14-localai-4-0-0.md

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+title = "LocalAI 4.0.0: native agentic orchestration"
+date = 2026-03-14
+description = "The Agenthub community hub, a full React UI rewrite with Canvas mode, MCP Apps with tool streaming, WebRTC realtime audio, and MLX-distributed."
+url = "/blog/localai-4-0-0/"
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+
+LocalAI 4.0.0 brings agentic orchestration into the core.
+
+- Native agentic orchestration, with the new [Agenthub](https://agenthub.localai.io) community hub.
+- A full React UI rewrite, including Canvas mode.
+- [MCP Apps and client-side MCP](https://github.com/mudler/LocalAI/pull/8947) with tool streaming.
+- [WebRTC realtime audio](https://github.com/mudler/LocalAI/pull/8790).
+- [MLX-distributed](https://github.com/mudler/LocalAI/pull/8801).
+
+[Full release notes](https://github.com/mudler/LocalAI/releases/tag/v4.0.0).

docs/content/blog/2026-04-02-localai-4-1-0.md

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+title = "LocalAI 4.1.0: LocalAI becomes a control tower"
+date = 2026-04-02
+description = "Distributed cluster mode with VRAM-aware routing and autoscaling, a multi-user platform with OIDC, per-user quotas, in-UI fine-tuning, and a visual pipeline editor."
+url = "/blog/localai-4-1-0/"
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+
+LocalAI 4.1.0 turns LocalAI into a control tower rather than a single inference server.
+
+- Distributed cluster mode, with VRAM-aware smart routing and autoscaling.
+- A multi-user platform with OIDC and API keys.
+- Per-user quotas with predictive analytics.
+- In-UI fine-tuning with TRL, including automatic export to GGUF.
+- An on-the-fly quantization backend.
+- A visual pipeline editor.
+
+[Full release notes](https://github.com/mudler/LocalAI/releases/tag/v4.1.0).

docs/content/blog/2026-04-22-face-recognition-backend.md

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+title = "Face recognition backend"
+date = 2026-04-22
+description = "insightface-powered 1:1 verification, 1:N identification, face embedding, detection and demographic analysis."
+url = "/blog/face-recognition-backend/"
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+
+A new face recognition backend, powered by `insightface`, covering:
+
+- 1:1 verification
+- 1:N identification
+- Face embedding
+- Face detection
+- Demographic analysis
+
+It ships with two model options: the non-commercial `buffalo_l`, and an Apache 2.0 alternative from the OpenCV Zoo.
+
+See [Face recognition]({{% relref "features/face-recognition" %}}). Shipped in [PR #9480](https://github.com/mudler/LocalAI/pull/9480).
+
+The engine was later rewritten from scratch in C++/ggml: see [Native biometric backends]({{% relref "blog/2026-06-28-native-biometric-backends" %}}).

docs/content/blog/2026-05-04-audio-transform.md

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+title = "Audio Transform"
+date = 2026-05-04
+description = "A generic audio-in / audio-out endpoint with an optional reference signal. First implementation: LocalVQE, a joint AEC, noise suppression and dereverberation engine."
+url = "/blog/audio-transform/"
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+
+Audio Transform is a generic audio-in / audio-out endpoint, with an optional reference signal for tasks that need one.
+
+The first implementation is [LocalVQE](https://github.com/localai-org/LocalVQE), a C++ backend doing joint acoustic echo cancellation, noise suppression and dereverberation in a DeepVQE-style model.
+
+Both call styles are supported:
+
+- Batch, via `POST /audio/transformations`.
+- Bidirectional streaming, via the `/audio/transformations/stream` WebSocket.
+
+Studio gains a "Transform" tab with synchronized waveform players for the input, reference and output signals.
+
+See [Audio transform]({{% relref "features/audio-transform" %}}). Shipped in [PR #9640](https://github.com/mudler/LocalAI/pull/9640).

docs/content/blog/2026-05-05-speaker-diarization.md

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+title = "Speaker diarization"
+date = 2026-05-05
+description = "A /v1/audio/diarization endpoint returning who spoke when, backed by sherpa-onnx and vibevoice-cpp."
+url = "/blog/speaker-diarization/"
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+
+`POST /v1/audio/diarization` is a new endpoint that returns "who spoke when" as a list of segments.
+
+Two backends serve it:
+
+- `sherpa-onnx` for pure diarization, combining pyannote-3.0, speaker embeddings and clustering.
+- `vibevoice-cpp` for diarization bundled with long-form ASR.
+
+Responses are available as `json`, `verbose_json` or `rttm`.
+
+See [Audio diarization]({{% relref "features/audio-diarization" %}}). Shipped in [PR #9654](https://github.com/mudler/LocalAI/pull/9654).