mirror of
https://github.com/arsvendg/Stirling-PDF.git
synced 2026-07-15 19:10:47 +02:00
39 lines
1.5 KiB
Bash
39 lines
1.5 KiB
Bash
# Configure the model strings passed to pydantic-ai. Provider credentials are handled by
|
|
# pydantic-ai and should be set using the provider's native environment variables, for example
|
|
# ANTHROPIC_API_KEY or OPENAI_API_KEY.
|
|
STIRLING_SMART_MODEL=anthropic:claude-haiku-4-5
|
|
STIRLING_FAST_MODEL=anthropic:claude-haiku-4-5
|
|
|
|
# Default output token limits applied by the engine for each model tier.
|
|
STIRLING_SMART_MODEL_MAX_TOKENS=8192
|
|
STIRLING_FAST_MODEL_MAX_TOKENS=2048
|
|
|
|
# RAG Configuration — retrieval-augmented generation is always on.
|
|
# Embedding provider credentials are handled natively (e.g. VOYAGE_API_KEY for VoyageAI).
|
|
STIRLING_RAG_EMBEDDING_MODEL=voyageai:voyage-4
|
|
|
|
# Vector store backend: "sqlite" (embedded) or "pgvector" (external Postgres).
|
|
STIRLING_RAG_BACKEND=sqlite
|
|
|
|
# Path to the sqlite-vec database file (used when backend=sqlite).
|
|
STIRLING_RAG_STORE_PATH=data/rag.db
|
|
|
|
# Postgres DSN for pgvector (used when backend=pgvector). Leave empty when backend=sqlite.
|
|
# Example: postgresql://user:password@host:5432/dbname
|
|
STIRLING_RAG_PGVECTOR_DSN=
|
|
|
|
STIRLING_RAG_CHUNK_SIZE=512
|
|
STIRLING_RAG_CHUNK_OVERLAP=64
|
|
STIRLING_RAG_TOP_K=5
|
|
|
|
# PostHog analytics. Set STIRLING_POSTHOG_ENABLED=true and provide an API key to enable.
|
|
STIRLING_POSTHOG_ENABLED=false
|
|
STIRLING_POSTHOG_API_KEY=phc_VOdeYnlevc2T63m3myFGjeBlRcIusRgmhfx6XL5a1iz
|
|
STIRLING_POSTHOG_HOST=https://eu.i.posthog.com
|
|
|
|
# Log level for the stirling logger hierarchy (DEBUG, INFO, WARNING, ERROR)
|
|
STIRLING_LOG_LEVEL=INFO
|
|
|
|
# Path to log file. Rolls daily, keeps 1 backup. Leave empty for console only.
|
|
STIRLING_LOG_FILE=
|