
Set per-request, per-session, daily, and monthly spend limits, configure rate limiting and circuit breakers, and isolate costs per user or tenant.
Configure the 4-layer memory system with SQLite/FTS5/vec storage for persistent agent knowledge that survives sessions.
Enable output verification (hallucination detection, semantic entropy, self-consistency), add post-run verification steps, and run LLM-scored evals across 5 quality dimensions.
Configure per-provider behavior, understand streaming quirks, and use the 7-hook adapter system for optimal performance across LLM providers.
Orient to the Reactive Agents framework, understand the builder API shape, and select the right capability skills for your task.
Configure a ReactiveAgentBuilder with the correct layer composition for any agent use case.
Configure verbosity levels, live log streaming, JSONL file export, model I/O logging, and audit trails for monitoring agent execution.
Expose agents as A2A JSON-RPC servers discoverable via Agent Cards, and connect agents to remote A2A agents using the client discovery and capability-matching APIs.
Manage context pressure, configure message windowing, and use checkpoint tools to preserve critical findings across context compaction.
Build always-on agents with heartbeats, cron scheduling, webhook triggers, and a persistent policy engine using the Gateway layer.
Enable prompt injection detection, PII masking, behavioral contracts, kill switch controls, and agent identity for safe production deployments.
Compose multiple agents as callable tools, spawn dynamic sub-agents at runtime, and wire remote A2A agents into a coordinated pipeline.
Select and configure the right reasoning strategy, native FC behavior, and output quality pipeline for any task type.
Wire agents into React, Vue, and Svelte frontends with streaming hooks, and set up server-side Next.js App Router or Express API routes using AgentStream.toSSE().
Full recipe for embedding an agent in a Next.js app with streaming API routes, React hooks, progressive disclosure of reasoning steps, and error handling.
Full recipe for a 3-agent pipeline (researcher → writer → reviewer) coordinated by a lead orchestrator agent using withAgentTool() and withOrchestration().
Full recipe for a persistent monitoring agent with heartbeats, daily cron reports, webhook triggers, daily token budgets, and graceful shutdown.
Enable and configure the sandboxed shell execution tool with command allowlists, Docker isolation, and audit logging for agents that run terminal commands.
Create custom tools with defineTool() or tool(), register them with the agent, and configure required-tools gates and per-tool call budgets.
Configure one of 5 human-agent interaction modes (autonomous through interrogative) and implement mode-switching, approval gates, and collaborative workflows.
Connect agents to MCP servers using stdio or HTTP transport, with automatic Docker lifecycle management and transport auto-detection.
Full recipe for a code assistant with shell execution, file read/write, git integration, and sandboxed code running.
Full recipe for a web research agent with memory, semantic search, hallucination verification, and source-cited synthesis.
Full recipe for a production-ready SaaS agent with guardrails, per-user cost isolation, rate limiting, A2A exposure, audit logging, and graceful error handling.