Agentic AI System — Architecture (Skills & Tools)

High-level system diagram showing orchestrator, skills, tools, runtimes, data stores, and guardrails

Operator Console UI / Dashboard / Manual commands API / SDK Programmatic client & webhooks Agent Orchestrator Goal manager • planning • scheduler Planner / Policy Task Router Skills Catalog Skill metadata • signatures • constraints • WebFetcher • DataProcessor • Summariser • Planner Model Runtime Local LLMs • API-backed models • caching Skill Executor Executes skill code • isolates runs Event Bus / Task Queue Tool Sandbox & Policy Gate Web / HTTP Adapter Browser / Headless Filesystem / Shell External APIs & Tools External Services Third-party APIs • Web • SaaS • Internal DBs Observability & Monitoring Metrics • Traces • Logs Vector DB Embeddings • Retrieval State DB Agent state • sessions • checkpoints Audit Log Immutable actions • provenance Frontend / Operators Backend / Orchestrator Data stores Model / Cloud Runtime Security / Policy Message Bus / Queue
Diagram notes
Flow: Client → Orchestrator → Event Bus → Skill Executor / Model Runtime → Tool Adapters → External Services. Security & policy gates mediate tool access; observability and immutable audit capture provenance.
Skills
Discoverable units: metadata, I/O schema, security policy, sandbox requirements.
Tools
Adapters expose safe interfaces (web fetch, shell, file, APIs). All tool calls pass through policy & audit.
Runtimes
Model pool: local + API-backed with caching, routing, and cost controls.
wrap