Agent Orchestration integration for Digital.ai Release to run AI prompts, chats, and autonomous agents that call tools on MCP servers, with reusable agent profiles, tool policies, and execution guardrails.
Steps
containerLlm.McpServer: MCP Server configuration
containerLlm.InternalReleaseMCPServer: Uses the current Release instance’s MCP endpoint and Run as user credentials
containerLlm.McpCallTool: Calls an MCP tool
containerLlm.McpListToolsTask: Lists available tools on the MCP server
containerLlm.GeminiModel: Connection definition for Google Gemini AI models
containerLlm.OpenAiModel: Connection definition for OpenAI-compatible AI models
containerLlm.DaiLlmModel: Connection definition for the Digital.ai LLM Service
containerLlm.AnthropicModel: Connection definition for Anthropic AI models
containerLlm.AgentProfile: Reusable instructions, MCP servers, and tool policy for AI Agent tasks
containerLlm.AgentExecutionPolicy: Reusable runtime limits, timeouts, and termination behavior for AI Agent tasks
containerLlm.LlmPrompt: Sends a single prompt to an LLM service
containerLlm.LlmChat: Chats with the LLM. Send ‘Stop chat’ to end the chat
containerLlm.LlmAgent: Asks AI agent to do something with multiple MCP server support
Featured in guides
Supported In
Release
Compatible With
Digital.ai support
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