CLI Reference¶

Director-AI ships a command-line interface for scoring, serving, benchmarking, and project scaffolding.

pip install director-ai
director-ai --help

Commands¶

Scoring¶

# Score a single prompt/response pair
director-ai review "What is the capital of France?" "The capital is Berlin."

# Process with agent (generate + score)
director-ai process "What is the refund policy?"

# Batch score from JSONL
director-ai batch input.jsonl --output results.jsonl

Server¶

# Start REST server
director-ai serve --port 8080 --workers 4

# Start gRPC server
director-ai grpc --port 50051

# Health check
director-ai health --url http://localhost:8080

Configuration¶

# Show current config
director-ai config

# Show a named profile
director-ai config --profile medical

# Generate YAML config
director-ai config --export config.yaml

Project Scaffolding¶

# Create a new project with config, facts, and guard script
director-ai quickstart --profile medical
cd director_guard/
python guard.py

Benchmarking¶

# Run latency benchmark
director-ai bench

# Run with specific dataset
director-ai bench --dataset e2e

# Run regression suite
python -m benchmarks.regression_suite

Model Export¶

# Export to ONNX
director-ai export --format onnx --output ./models/onnx/

# Export to TensorRT
director-ai export --format tensorrt --output ./models/trt/

Fine-Tuning¶

# Fine-tune NLI model on custom data
director-ai finetune train.jsonl --output ./models/custom/

Threshold Tuning¶

# Adaptive threshold calibration on your dataset
director-ai tune eval_data.jsonl

Version¶

director-ai version
# director-ai 3.8.0

Global Options¶

Flag	Description
`--config PATH`	YAML config file
`--profile NAME`	Named profile (fast, thorough, medical, etc.)
`--verbose`	Enable debug logging
`--json`	JSON output format