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* docs: fix CPU image tag (latest, not latest-cpu) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: use canonical localai/localai registry in models guide Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: replace dead llama-stable backend with llama-cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: correct mitm-proxy intercept config and redaction tier Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fix text-to-audio endpoint and broken notice block Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fix VAD example, stale FAQ, broken link, CLI list, whats-new dump Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: render advanced/reference section indexes (consolidate _index) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove duplicate getting-started build/kubernetes pages Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fold container image reference into installation/containers Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove stale advanced fine-tuning page (superseded by features/fine-tuning) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fold distribution/longcat/sound pages into their parents Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: make getting-started index accurate and complete Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: carry one concrete model through the getting-started path Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add end-to-end 'build your first agent' walkthrough Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add runtime errors reference; consolidate troubleshooting from FAQ Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add agent actions catalog Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: agent-scoped MCP, skills walkthrough, agentic disambiguation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add concrete gallery install lines to media feature pages Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: merge installation into getting-started (URLs preserved via aliases) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add Operations section; move operator pages and P2P API reference Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: journey-ordered top nav and grouped feature sections Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add docs-with-code process gate (PR template + agent instructions) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove em/en dashes from documentation prose 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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+++ disableToc = false title = "Features" weight = 4 icon = "lightbulb" type = "chapter" url = "/features/" +++
LocalAI provides a comprehensive set of features for running AI models locally. The pages in this section are grouped by capability, and the left navigation is ordered to match these groups.
Text
- [Text Generation]({{% relref "features/text-generation" %}}) - Generate text with GPT-compatible models using various backends.
- [OpenAI Functions and tools]({{% relref "features/openai-functions" %}}) - Use function calling and the tools API with local models.
- [Constrained Grammars]({{% relref "features/constrained_grammars" %}}) - Control model output format with BNF grammars.
- [Interleaved thinking]({{% relref "features/interleaved-thinking" %}}) - Reasoning models that interleave thought and output.
- [Model aliases]({{% relref "features/model-aliases" %}}) - Expose one model under several names.
- [API discovery]({{% relref "features/api-discovery" %}}) - How LocalAI advertises its capability surface.
Agents
- [Agents]({{% relref "features/agents" %}}) - Autonomous AI agents with tools, knowledge base, and skills.
- [Agent Actions]({{% relref "features/agent-actions" %}}) - The catalog of actions an agent can run.
- [Model Context Protocol (MCP)]({{% relref "features/mcp" %}}) - Give a model external tools over MCP.
- [LocalAI Assistant]({{% relref "features/localai-assistant" %}}) - Chat to administer your LocalAI instance.
Audio
- [Audio to text]({{% relref "features/audio-to-text" %}}) - Transcribe audio to text.
- [Text to audio]({{% relref "features/text-to-audio" %}}) - Generate speech, music, and sound effects from text.
- [Audio classification]({{% relref "features/audio-classification" %}}) - Classify sounds and audio events.
- [Audio diarization]({{% relref "features/audio-diarization" %}}) - Separate speakers in an audio stream.
- [Audio transform]({{% relref "features/audio-transform" %}}) - Transform and process audio.
- [Voice Activity Detection]({{% relref "features/voice-activity-detection" %}}) - Detect speech segments in audio data.
- [Voice recognition]({{% relref "features/voice-recognition" %}}) - Identify speakers by voice.
- [Realtime API]({{% relref "features/openai-realtime" %}}) - Low-latency multi-modal conversations (voice and text) over WebSocket.
Vision
- [GPT Vision]({{% relref "features/gpt-vision" %}}) - Analyze and understand images with vision-language models.
- [Object detection]({{% relref "features/object-detection" %}}) - Detect and locate objects in images.
- [Face recognition]({{% relref "features/face-recognition" %}}) - Recognize faces in images.
Image and Video
- [Image Generation]({{% relref "features/image-generation" %}}) - Create images with Stable Diffusion and other diffusion models.
- [Video Generation]({{% relref "features/video-generation" %}}) - Generate videos from text, image, or audio conditioning, including LongCat and avatar workflows.
Retrieval
- [Embeddings]({{% relref "features/embeddings" %}}) - Generate vector embeddings for semantic search and RAG applications.
- [Reranker]({{% relref "features/reranker" %}}) - Improve retrieval accuracy with cross-encoder models.
- [Stores]({{% relref "features/stores" %}}) - Vector similarity search for embeddings.
Distributed and acceleration
- [Distributed inference]({{% relref "features/distributed_inferencing" %}}) - Scale inference across multiple nodes (P2P federation or production distributed mode).
- [Distributed mode]({{% relref "features/distributed-mode" %}}) - The production distributed deployment.
- [MLX distributed]({{% relref "features/mlx-distributed" %}}) - Distributed inference on Apple Silicon with MLX.
- [GPU Acceleration]({{% relref "features/GPU-acceleration" %}}) - Optimize performance with GPU support.
Platform and model management
- [Backends]({{% relref "features/backends" %}}) - Available backends and how to manage them.
- [Model Gallery]({{% relref "features/model-gallery" %}}) - Browse and install pre-configured models.
- [Runtime Settings]({{% relref "features/runtime-settings" %}}) - Configure application settings via the web UI without restarting.
- [Quantization]({{% relref "features/quantization" %}}) - Quantize models for smaller memory footprint.
- [Fine-tuning]({{% relref "features/fine-tuning" %}}) - Fine-tune models on your own data.
- [Authentication]({{% relref "features/authentication" %}}) - Protect the API with keys.
For operator-facing runtime, proxy, and monitoring concerns (middleware, cloud and MITM proxies, backend monitor), see the [Operations]({{% relref "operations" %}}) section.
Getting Started
To start using these features, make sure you have [LocalAI installed]({{% relref "getting-started/install" %}}) and have [downloaded some models]({{% relref "getting-started/models" %}}). Then explore the feature pages above to learn how to use each capability.