ai-native-cli-output-contract

Schema validation for CLI output ensures structured JSON envelopes and event streams adhere to a stable format. It enforces consistent structure and content guidelines, preventing malformed data and enabling reliable automated processing for development and QA teams.

You can validate CLI output automatically by running the included validator script. Execute the Python validation tool with the desired mode, such as JSON, to test output against the predefined schema and ensure your CLI interfaces meet the required structure.

Standardizing CLI output modes involves using summary, agent, JSON, events, and explain formats. This uniformity improves maintainability and enables automated processing by providing predefined structures for human-readable summaries, low-token agent outputs, and structured JSON envelopes.

Yes, the CLI output contract explicitly targets low-token agent outputs and English reasoning summaries. It standardizes these formats using a schema-based approach, ensuring concise, structured outputs that are optimized for automated agent processing and QA validation.

Limitations of schema-based CLI output include strict adherence to predefined modes like summary, agent, and JSON. The approach does not support custom output formats outside the stable schema, restricting flexibility but ensuring consistent structure and automated processing capabilities.