gnn-cli

name	gnn-cli
description	GNN command-line interface dispatch and health checks. Use when invoking the `gnn` CLI, validating subcommand availability, or checking command-line access to pipeline modules.

Core Skill: cli_dispatch

Function: Unified command-line interface dispatching 12 subcommands to their respective GNN pipeline module APIs.

Example Flow

# Full pipeline execution
gnn run --target-dir input/gnn_files --verbose

# Validate a single GNN file
gnn validate input/gnn_files/discrete/actinf_pomdp_agent.md --strict

# Parse to JSON output
gnn parse input/gnn_files/discrete/actinf_pomdp_agent.md --format json

# Generate code for a specific framework
gnn render input/gnn_files/discrete/actinf_pomdp_agent.md --framework pymdp

# Check environment health
gnn preflight
gnn health

Programmatic Usage

from cli import main

# The CLI entry point dispatches to module APIs
# Each subcommand maps to a specific module function:
#   run       → main.main()
#   validate  → gnn.schema.validate_required_sections()
#   parse     → gnn.schema.parse_state_space()
#   render    → render.processor
#   health    → render.health.check_renderers()
#   lsp       → lsp.start_server()

Features

• Pipeline Execution: Full 25-step pipeline via gnn run with --skip-steps, --only-steps, --skip-llm options
• File Validation: Section, state-space, connection, and dimension validation via gnn validate
• Multi-Format Parsing: JSON, YAML, and summary output via gnn parse
• Code Generation: PyMDP, RxInfer, JAX, NumPyro, Stan, PyTorch framework output via gnn render
• Environment Checks: Dependency and configuration validation via gnn preflight and gnn health
• Live Development: File monitoring with 250ms debounce via gnn watch
• Dependency Graphs: Mermaid/text graph output via gnn graph
• API & LSP Servers: FastAPI server (gnn serve) and Language Server (gnn lsp)

MCP Tools

This module registers tools with the GNN MCP server (see mcp.py):

• cli.health
• cli.preflight