01 — Multi-Agent Orchestration
Coordinate specialist agents through explicit ownership, shared contracts, and bounded execution so a business task produces one accountable result.
Learning paths
Start with orchestration and tool contracts, build production controls, then connect retrieval and model infrastructure.
02 — Directed Acyclic Graphs (DAGs)
Represent bounded agent work as explicit dependencies, enabling reproducible scheduling, parallel branches, and precise restart boundaries.
03 — Agentic State Machines
Make agent progress an explicit set of states, guarded transitions, and durable events so every action has a permitted execution context.
11 — Tool Invocation & Function Calling
Convert model-proposed operations into validated, authorized tool calls with stable schemas and explicit treatment of side effects.
21 — Authorization-Aware RAG
Apply the requester’s current data entitlements throughout retrieval, reranking, generation, caching, and citation delivery.
41 — Idempotent Tool Execution
Make repeated attempts at one business operation converge on one recorded effect, even when agents, queues, or networks deliver the request more than once.
55 — Distributed Tracing (OpenTelemetry)
Connect agent decisions, retrieval, model calls, and tool effects into one causal execution record using interoperable trace context.
62 — Hybrid Search (Dense + Sparse)
Combine lexical precision with semantic recall, then fuse candidate rankings under one authorization and evaluation contract.
81 — Dynamic Model Routing
Select an eligible model for each task using measured capability, quality, latency, and cost while keeping policy constraints mandatory.
102 — Agent Evaluation & Regression Suites
Evaluate complete agent behavior across task outcomes, tool effects, authorization, cost, and failure recovery before releasing changes.