Tool use
Tool-calling agent that browses a mocked product catalog.
'use client'import { useMemo } from 'react'import { useChat, ChatContainer, Message, InputBar } from '@agentskit/react'import '@/styles/agentskit-theme.css'import { createMockAdapter, initialAssistant, toolsFor } from './_shared/mock-adapter'import { ToolBadge } from './_shared/tool-badge'const TURNS = [ { toolCalls: [ { name: 'search_catalog', args: { query: 'wireless headphones' }, result: { items: [{ id: 'h-42', name: 'Aurora ANC', price: 189 }] }, durationMs: 420, }, ], text: 'Aurora ANC ($189) is the best match — active noise cancellation, 30h battery.', }, { toolCalls: [ { name: 'get_inventory', args: { sku: 'h-42' }, result: { stock: 12, warehouse: 'LAX' }, durationMs: 260, }, ], text: '12 units in the LAX warehouse, ships same-day.', },]export function ToolUseChat() { const adapter = useMemo(() => createMockAdapter(TURNS), []) const tools = useMemo(() => toolsFor(TURNS), []) const chat = useChat({ adapter, tools, maxToolIterations: 1, initialMessages: [ initialAssistant( "I can browse a product catalog. Ask about an item and I'll call the right tool.", ), ], }) return ( <div data-ak-example className="flex h-[420px] flex-col overflow-hidden rounded-lg border border-ak-border bg-ak-surface" > <ChatContainer className="flex-1 space-y-2 p-4"> {chat.messages .filter((m) => m.role !== 'tool') .map((m) => ( <div key={m.id} className="flex flex-col gap-1.5"> {m.toolCalls?.map((t) => ( <ToolBadge key={t.id} call={t} /> ))} {m.content ? <Message message={m} /> : null} </div> ))} </ChatContainer> <InputBar chat={chat} /> </div> )}Basic chat
Streaming chat with a mock adapter. Zero config, runs in-browser.
streamingchatRAG
Retrieval-augmented chat with inline source citations.
ragchatCode assistant
Code-aware chat with syntax-highlighted output.
codechatMarkdown chat
Rich Markdown rendering in assistant responses.
markdownchatSupport bot
Chat with escalation, memory, and confirmation gates.
supportmemorytoolsMulti-agent
Planner + worker + reviewer topology.
multi-agentMulti-model
Switch providers on the fly in a single conversation.
multi-modelchatAgent actions
Streaming UI with live tool-call visualization.
toolsstreamingshadcn/ui chat
AgentsKit styled with shadcn/ui tokens.
chatdesign-systemMaterial UI chat
AgentsKit styled with MUI components.
chatdesign-systemSandbox runner
Agent-emitted code runs isolated in E2B / WebContainer.
sandboxtoolscodeObservability trace
Live span tree with tokens, latency, cost. Exports to LangSmith / OTEL.
observabilityproductionPersistent memory
Cross-session recall with sqlite, redis, or lancedb backends.
memorypersistenceEval suite
Run regression tests, track accuracy / latency / cost in CI.
evalproductionciSlack integration
Agent posts to Slack via @agentskit/tools.
integrationstoolsInk terminal
Same controller, rendered in your terminal via Ink.
inkcliterminalSkill swap
Hot-swap personas mid-conversation: researcher, critic, planner.
skillspromptsRuntime ReAct
Standalone agent runtime — no UI required. ReAct loop with tools + memory.
runtimemulti-agentProvider fanout
Same prompt across openai, anthropic, gemini, ollama. Compare quality + cost.
adaptersmulti-modelRAG with citations
Retrieve top-k chunks with scores and inline cite refs.
ragcitations