Key terms and concepts in multi-agent AI automation, LLM orchestration, and workflow infrastructure — defined by the Otogent engineering team.
An autonomous software entity that uses a large language model (LLM) to reason about tasks, make decisions, and take actions toward a goal. Unlike simple chatbots, AI agents can use tools, access external systems, and execute multi-step workflows independently.
Learn more about ai agent →A workflow where one or more AI agents autonomously execute a series of tasks with decision-making logic, branching, and tool use. Unlike traditional automation (rigid if/then rules), agentic workflows adapt to context and handle ambiguity through LLM reasoning.
Learn more about agentic workflow →An architecture where multiple AI agents collaborate, coordinate, or operate in parallel to solve complex problems. Each agent may have specialized capabilities, and a central orchestrator manages their communication and task distribution.
Learn more about multi-agent system →A graph structure used to represent workflow execution order. In AI agent orchestration, DAGs define which agents run in parallel and which must wait for upstream dependencies to complete. Otogent uses DAGs to model all multi-agent workflows.
Learn more about dag (directed acyclic graph) →The process of coordinating multiple large language model calls across a workflow. This includes model selection (choosing between GPT-4o, Claude, Gemini), prompt routing, token management, and handling model responses within a structured execution plan.
Learn more about llm orchestration →An architecture pattern where the orchestration layer can route tasks to any supported LLM provider (OpenAI, Anthropic, Google) through a unified interface. This prevents vendor lock-in and allows teams to mix models for optimal cost and performance.
Learn more about model-agnostic routing →A workflow pattern where automated execution pauses at designated checkpoints to require human approval before proceeding. In Otogent, HITL gates carry full execution context so reviewers can make informed decisions quickly.
Learn more about human-in-the-loop (hitl) →The practice of tracking, budgeting, and enforcing limits on the number of tokens consumed by LLM calls. Otogent manages token budgets per agent per execution to prevent runaway costs and ensure predictable billing.
Learn more about token management →A computational model that tracks the current state of a workflow execution. In Otogent, persistent state machines checkpoint every node completion, enabling crash recovery and exact-point resumption without data loss.
Learn more about state machine (workflow) →A safety mechanism that detects when an AI agent enters a circular reasoning pattern (visiting the same node repeatedly). Otogent automatically breaks detected loops and escalates to a configured fallback — halt, notify, or route to human review.
Learn more about execution loop detection →An HTTP-based mechanism where an external event (e.g., a GitHub push, Stripe payment, Slack command) automatically initiates a workflow execution. Otogent provisions unique webhook endpoints per workflow for event-driven automation.
Learn more about webhook trigger →A security pattern where each piece of sensitive data (like an API key) is encrypted with a unique data key, and that data key is itself encrypted by a master key stored in a hardware security module (HSM). Otogent uses this for all stored credentials.
Learn more about envelope encryption →A visual interface where users design automation workflows by dragging and connecting nodes on a canvas, without writing any code. Otogent's no-code builder supports agent configuration, model selection, tool integration, and conditional logic.
Learn more about no-code workflow builder →A tool integration platform that provides a unified API for connecting AI agents to 250+ external services (GitHub, Slack, Notion, Salesforce, etc.). Otogent routes all external tool calls through Composio's action API.
Learn more about composio →A pre-built workflow blueprint that teams can clone and customize for common automation scenarios. Otogent provides 50+ templates spanning real estate, healthcare, e-commerce, finance, marketing, and education verticals.
Learn more about workflow template →Put these concepts into practice with Otogent's multi-agent automation platform. Free to start, no credit card required.