Introduction
Cline is a unified command-line interface (CLI), designed to give developers, ML engineers, and operators a single point of entry to manage and automate platform resources from their terminal. Cline provides structured access to internal APIs, services, and deployment layers, allowing users to orchestrate tasks, inspect system states, launch jobs, and debug components—without needing to context switch into the UI or directly write API calls. It supports both exploratory usage and automation in scripts, CI/CD pipelines, and local dev flows.
Key benefits of using Cline include:
Unified Access to Platform Components: Interact with models, agents, datasets, workflows, services, experiments, and secrets through a consistent CLI interface.
Composable and Discoverable Syntax: Built with subcommands and flags that are intuitive, well-documented, and autocompletable—making it easy to learn and powerful to use.
Local Dev and Remote Ops: Launch local runs, manage Kubernetes jobs, query observability data, or trigger remote workflows with the same tool.
Authentication and Context Management: Supports secure, identity-aware access using API tokens, roles, or environment profiles—making it safe for both personal and automated use.
Scriptable and CI-Ready: Integrates cleanly into Bash, Python, and YAML-based pipelines (e.g., GitHub Actions), enabling automation of common platform operations such as builds, deployments, evaluations, and logs export.
Cline is used for a wide range of workflows:
Triggering training or evaluation runs
Inspecting LLM prompt versions or agent behaviors
Managing feature sets and experiment metadata
Deploying model artifacts or restarting services
Querying logs, tracing TrustCall executions, or monitoring DAG health
By adopting Cline, you can enable its teams to work faster, script smarter, and automate more confidently—offering a first-class CLI experience built for a modern, AI-native engineering platform.