LocalAI should be configured for model runtime hardening, API access controls, and deterministic model serving.
LocalAI supports configuration via command-line flags and environment variables. The following are commonly used settings:
# Network binding
ADDRESS=0.0.0.0:8080
# Model configuration
MODELS_PATH=/models
CONTEXT_SIZE=4096
THREADS=8
# API authentication (optional but recommended)
API_KEY=replace-with-strong-api-key
# Debug/logging
DEBUG=false
LOG_LEVEL=info
Note: Environment variable names and support may vary by LocalAI version. Always verify against the official documentation. Command-line flags can also be used:
docker run -p 8080:8080 -v /models:/models localai/localai:latest \
--address 0.0.0.0:8080 \
--models-path /models \
--context-size 4096 \
--threads 8
LocalAI uses YAML configuration files to define model endpoints. Place these in your models directory:
name: llama-3.2-1b
backend: llama.cpp
parameters:
model: llama-3.2-1b.Q4_K_M.gguf
context_size: 4096
threads: 8
Back up metadata stores (DB/vector indexes), model/runtime configuration, and secret metadata. Validate restore with one prompt run and one retrieval/integration call.
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