Read a bounded terminal transcript from an MCP-managed agent using its agent ID. Returns recent or visible output for orchestration and text inspection.
Formulates structured, effective system prompts and templates for complex AI agent tasks—code refactoring, RAG search, multi-agent orchestration, bug fixes.
Create and manage agent hierarchies using orchestration trees, supporting actions to plant, launch, seat, and list agents across parent-child node structures.
View a consolidated multi-agent orchestration dashboard that groups tasks by assignee and status, covering handoffs, ledger items, audit trail, and next steps for orchestrator status reporting.
List all agent machine identities in your organization to view key metadata such as name, creation date, last-used timestamp, and revocation status. Manage access and audit agent credentials efficiently.
Retrieve the complete configuration of a Verlon AI gate by UUID, including model, fallback chain, task type, spending limits, sub-gates, and orchestration settings.
Make a single-model AI call for routine reasoning, tool orchestration, or classification. Get a plain answer at lower cost than consensus-based queries.