# Cadenya Cadenya는 기존 API를 기반으로 AI 에이전트를 구축하고 테스트하며 개선할 수 있는 개발자용 에이전트 런타임입니다. 도구, 모델, 목표, 웹훅, 피드백, 임베드 가능한 위젯을 하나의 플랫폼에서 연결합니다. - Findings24: - 웹사이트: - 가격: Freemium - 카테고리: Developer Tools ## Cadenya란 무엇인가요? Cadenya is an agent runtime that layers tools, agents, and objectives over APIs a team already operates. Developers can connect MCP servers, OpenAPI specifications, and existing HTTP endpoints through a shared tool layer, then define agents and the objectives they should complete. The platform is designed for iterative agent development. Teams can create agent variations, change model configurations, manage tool discovery, monitor token usage, inspect objective trails, and compare feedback on outcomes. Webhooks, server-sent events, approval events, and frontend Widgets connect agent activity to applications. ## Cadenya(으)로 무엇을 할 수 있나요? ### Unified tool layer Connect MCP servers, OpenAPI specs, and existing endpoints without rewriting the underlying APIs. ### Agent variations and model testing Create variations with different model configurations and compare how they perform against objectives. ### Progressive tool discovery Keep full tool schemas out of the initial context until an agent requests them, with controls for search limits, hints, and reranking. ### Objective trails and feedback Review tool calls, webhook deliveries, token usage, and user feedback associated with an objective. ### Real-time event delivery Send agent events to applications through webhooks and SSE, including assistant messages, tool results, approvals, sub-agent events, and timeouts. ### Widgets and approval gates Add agentic experiences such as conversations to an existing frontend and pause approval-gated tools until a person or system authorizes the call. ## 사용 사례 ### API-based agent prototypes Developers can connect an existing service API, select a model, define an objective, and test an agent without first rebuilding queues, retries, or tool plumbing. ### Model and behavior evaluation Product or engineering teams can run multiple agent variations against objectives, then use outcome feedback and execution trails to compare approaches. ### Operational exception handling An agent can use connected operational tools, such as shipment or dispatch endpoints, to respond to exceptions, update information, and escalate cases where needed. ### Embedded agent experiences Teams can use Widgets to add agentic functions, including conversations, to a frontend rather than building the entire interaction layer themselves. ### Event-driven applications Applications that need immediate downstream reactions can consume webhook or SSE events from an agent’s execution loop. ## 자주 묻는 질문 ### What is Cadenya? Cadenya is an agent runtime that adds tools, agents, and objectives on top of APIs a developer already runs. ### Do existing APIs need to be rewritten? No. Cadenya says MCP servers, OpenAPI specs, and existing endpoints can be connected through its tool layer. ### How does Cadenya report agent activity? Objectives retain a trail that can include tool calls, webhook deliveries, token usage, and feedback. Webhooks and SSE can push events to connected applications. ### Can a tool call require approval? Yes. Approval-gated tools pause the agent and emit a tool\_approval\_requested event before the tool runs. ### Does Cadenya provide model inference? New accounts include introductory inference credits through a preconfigured OpenRouter setup. After those credits are used, the site says users must provide their own LLM provider credentials. ## 주요 정보 - **Category**: Developer Tool - **Product type**: Agent runtime - **Primary users**: Developers and product teams building AI agents - **Core workflow**: Connect APIs, define an agent, shape its abilities, and run objectives - **Real-time interfaces**: Webhooks and SSE - **Frontend capability**: Widgets for adding agentic features to frontends