# PaddleOCR-VL High-Performance Serving Configuration
# Copy this file to .env and modify as needed

# =============================================================================
# Pipeline and SDK Configuration
# =============================================================================

# Pipeline name. Applies to the whole PaddleOCR-VL series, e.g.:
#   PaddleOCR-VL, PaddleOCR-VL-1.5, PaddleOCR-VL-1.6
HPS_PIPELINE_NAME=PaddleOCR-VL-1.6

# PaddleX version (major.minor only, e.g. 3.6). Keeps the pipeline base image and
# the high-stability serving SDK in sync:
#   3.6 -> base image .../hps:paddlex3.6-gpu  +  SDK release dir v3.6
HPS_PADDLEX_VERSION=3.6

# Derived SDK directory name. Must match `paddlex_hps_${HPS_PIPELINE_NAME}_sdk`.
HPS_SDK_DIR=paddlex_hps_PaddleOCR-VL-1.6_sdk

# =============================================================================
# Gateway Configuration
# =============================================================================

# Maximum concurrent inference requests (layout-parsing / infer)
# Increase for higher throughput, decrease if device is overloaded
HPS_MAX_CONCURRENT_INFERENCE_REQUESTS=16

# Maximum concurrent non-inference requests (restructure-pages)
# Can be set higher since non-inference operations are lighter
HPS_MAX_CONCURRENT_NON_INFERENCE_REQUESTS=64

# Inference timeout in seconds
# Increase for complex documents, decrease for faster failure detection
HPS_INFERENCE_TIMEOUT=600

# Health check timeout in seconds
HPS_HEALTH_CHECK_TIMEOUT=5

# VLM server URL
# HPS_VLM_URL=http://paddleocr-vlm-server:8080

# Log level: DEBUG, INFO, WARNING, ERROR
HPS_LOG_LEVEL=INFO

# Filter health check endpoints from access logs (true/false)
# Set to false to see all access logs including health checks
HPS_FILTER_HEALTH_ACCESS_LOG=true

# Number of Uvicorn worker processes
# Recommended: 2-4 workers per CPU core
HPS_UVICORN_WORKERS=4

# =============================================================================
# Device Configuration
# =============================================================================

# Inference device ID to use (0, 1, 2, etc.)
HPS_DEVICE_ID=0