List all configured OrangePro agents for a tenant. Use this first to discover available agents before getting details or triggering runs. Returns agent_id, name, type, status, and last run timestamp for each agent.

Get full detail, configuration, timeline, and recent runs for a specific OrangePro agent. Use after orangepro_list_agents to inspect a particular agent. Returns agent config, run history, and current status.

Start an OrangePro agent run. Safe to retry — the API returns the active run if one is already in progress. Use this to trigger data ingestion, KG sync, or test generation agents.

List recent runs for a specific OrangePro agent. Use to check run history, find failed runs, or verify a recent run completed. Returns run_id, status, start time, duration, and records processed.

Read recent log lines for an OrangePro agent. Use to debug failures, check processing details, or verify what an agent did during a run. Returns timestamped log lines.

Read health and connectivity status for an OrangePro agent. Use to diagnose why an agent is failing — checks source config, auth, and runtime status.

Resolve a user story, requirement, or feature description against the OrangePro Knowledge Graph. Returns grounded entities, matched concepts, and confidence scores. Use to verify story coverage or find KG gaps.

Find application areas lacking test coverage. Returns a heatmap of critical (red), partial (yellow), and healthy (green) coverage zones with test counts. Use to identify where to generate additional tests.

Analyze a bug report and generate durable regression tests to prevent recurrence. Provide a detailed bug description for best results. Returns root cause analysis, affected areas, and generated test cases with steps.

Generate a focused regression test pack for a feature area or recent change. Use after a refactor, migration, or risky change to ensure the area stays stable. Returns a set of test cases targeting the specified area.

Get a quality risk assessment using coverage heatmap, execution history, and 30-day trend data. Identifies high-risk and medium-risk areas. Use to answer questions like 'are we safe to ship?' or 'what areas need more tests?'

Generate test cases for a user story or feature that needs better coverage. Submits a test generation job and polls for results (up to 2 minutes). Returns categorized test cases with steps and expected results.

Analyze a pull request for quality risk. Returns overall risk score (0-100), risk drivers, impacted categories, similar historical bugs, coverage gaps, and recommended tests to run. Use before merging to catch regressions.

Get a tenant-wide release readiness assessment. Returns a ship/review/block recommendation with confidence score, coverage analysis, execution summary, script readiness, risk areas, recent failures, and recommended actions. Use before deciding whether to release.

Convert test cases from a completed test generation job into executable test scripts. Requires a source_job_id from a prior generate_missing_coverage or convert_bug_to_tests call. Generates scripts for Playwright, Cypress, Selenium, or Puppeteer. Use this as the second step after generating test cases to get runnable automation code.