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.
MCP server that gives AI coding agents (Claude Code, Cursor, Cline, etc.) access to multiple AI models through Antigravity CLI and OpenAI Codex CLI, enabling mid-conversation model consultation and code review.
A Model Context Protocol (MCP) server that enables multiple AI agents to share memory, coordinate tasks, and collaborate effectively across IDEs and CLI tools.
Retrieve your account's AI model limits and tier configuration, including subscription tokens, context limits, and account constraints like repository and file caps.
Preview the export configuration for AI safety guardrails, including system prompts, constitutions, and UVC qualities, to verify settings before exporting to Claude Code or other AI tools.
Generate configuration files for AI development tools like Claude, Cursor, and VS Code to implement standardized naming conventions in microservices projects.
Retrieve the embedded catalog of supported AI models, with each model's ID, token limits, and provider, to identify valid model values for chat and git tools. Output as YAML; read-only.
Design AI agent pipelines and multi-agent orchestration systems by mapping agents, tools, memory, and failure handling into sequence diagrams and responsibility matrices.
Creates a new LLM configuration to power AI agents, Knowledge AI, and generative features. Requires a connection with provider credentials. Set dryRun=false to create.