.env.example

# ============================================================================
# Triton Optimizer Configuration
# ============================================================================
# Copy this file to .env and fill in your settings

# ============================================================================
# LLM Configuration
# ============================================================================
# Model name (OpenAI format: provider/model)
LLM_MODEL=gpt-5.2

# API endpoint URL
OPENAI_API_BASE=

# API key for authentication
OPENAI_API_KEY=

# Temperature for generation (0.0-1.0, lower = more deterministic)
LLM_TEMPERATURE=1

# Maximum tokens to generate
LLM_MAX_TOKENS=50000

# ============================================================================
# Agent Configuration
# ============================================================================
# Maximum iterations per optimization stage
AGENT_MAX_ITERATIONS=3

# Use CoVeR pattern (true) or ReAct (false)
USE_COVER=true

# Agent strategy: cover, react, or hybrid
AGENT_STRATEGY=cover

# ============================================================================
# Optimization Configuration
# ============================================================================
# Maximum attempts per optimization stage
MAX_ATTEMPTS_PER_STAGE=5

# Validate correctness after each stage
VALIDATE_EACH_STAGE=true

# Require correctness preservation
REQUIRE_CORRECTNESS=true

# Target speedup (minimum acceptable)
TARGET_SPEEDUP=2.0

# ============================================================================
# Intel XPU Configuration
# ============================================================================
# Target device
XPU_DEVICE=xpu


# ============================================================================
# Logging Configuration
# ============================================================================
# Log level: DEBUG, INFO, WARNING, ERROR
LOG_LEVEL=INFO

# Directory for log files
LOG_DIR=./outputs/logs

# Directory for saved kernels
KERNEL_DIR=./outputs/kernels

# Save intermediate optimization results
SAVE_INTERMEDIATE=true

# Skip correctness validation entirely
REQUIRE_CORRECTNESS=true

# Adjust tolerances (larger = more lenient)
CORRECTNESS_RTOL=1e-2   # relative tolerance
CORRECTNESS_ATOL=1e-5   # absolute tolerance

BEST_K=1

# ============================================================================
# Knowledge Base Configuration
# ============================================================================
# Path to knowledge base YAML files
KNOWLEDGE_DIR=./knowledge_base

# Automatically load knowledge base on startup
AUTO_LOAD_KNOWLEDGE=true