@agentick/agent

@agentick/agent

Opinionated agent composition for Agentick. Provides the <Agent> component and createAgent() factory — high-level building blocks on top of @agentick/core primitives.

Installation

pnpm add @agentick/agent

Quick Start

Level 0: No JSX Required

import { createAgent } from "@agentick/agent";
import { knob } from "@agentick/core";
import { openai } from "@agentick/openai";

const agent = createAgent({
  system: "You are a helpful researcher.",
  model: openai("gpt-4o"),
  tools: [SearchTool, Calculator],
  knobs: {
    mode: knob("broad", { description: "Search mode", options: ["broad", "deep"] }),
  },
});

const session = await agent.session();
await session.send({
  messages: [{ role: "user", content: [{ type: "text", text: "Research quantum computing" }] }],
}).result;

Level 1: JSX Component

import { Agent } from "@agentick/agent";
import { useKnob, createApp } from "@agentick/core";
import { openai } from "@agentick/openai";

function MyAgent() {
  const [verbose] = useKnob("verbose", false, { description: "Verbose output" });

  return (
    <Agent
      system={`You are a researcher. ${verbose ? "Be thorough." : "Be concise."}`}
      model={openai("gpt-4o")}
      tools={[SearchTool]}
      temperature={0.7}
      tokenBudget={{ maxTokens: 8000, headroom: 500 }}
    >
      <MyCustomSection />
    </Agent>
  );
}

const app = createApp(MyAgent);

API

<Agent> Component

Renders common agent boilerplate in order:

• Model configuration
• System prompt section
• Tool components
• Knob bindings
• Declarative sections
• User's children
• <Knobs /> section + set_knob tool
• Timeline (with optional budget props)

Props

Prop	Type	Description
system	string	System prompt (rendered as a model-visible section)
model	EngineModel	Model adapter
tools	ToolClass[]	Tools the model can call
knobs	Record<string, KnobDescriptor>	Declarative knobs (each bound via useKnob)
children	ReactNode	Additional children (sections, tools, etc.)
responseFormat	ResponseFormat	Structured output format
temperature	number	Sampling temperature
maxTokens	number	Max output tokens
topP	number	Top-p (nucleus) sampling
providerOptions	ProviderGenerationOptions	Provider-specific options
timeline	AgentTimelineConfig | false	Timeline options, or false to suppress
tokenBudget	AgentTokenBudgetConfig	Token budget for timeline compaction
sections	AgentSectionConfig[]	Declarative sections rendered in order

Token Budget

Control timeline compaction via the tokenBudget prop:

<Agent
  tokenBudget={{
    maxTokens: 4000,
    strategy: "sliding-window", // "truncate" | "sliding-window" | custom function
    headroom: 500, // reserve tokens for safety margin
    onEvict: (entries) => console.log(`Evicted ${entries.length} entries`),
  }}
/>

The budget props are forwarded to <Timeline>. See the core README for details on compaction strategies.

Response Format

Request structured output via the responseFormat prop:

// JSON output
<Agent model={model} responseFormat={{ type: "json" }} />

// JSON Schema (structured output)
<Agent
  model={model}
  responseFormat={{
    type: "json_schema",
    schema: { type: "object", properties: { answer: { type: "string" } } },
    name: "response",
  }}
/>

For Zod schemas, call zodToJsonSchema() yourself. The format is forwarded to <Model> and mapped to the provider's native format by the adapter.

Timeline Config

// Suppress timeline entirely
<Agent timeline={false} />

// Filter timeline
<Agent timeline={{ limit: 20, roles: ["user", "assistant"] }} />

Declarative Sections

<Agent
  sections={[
    { id: "context", content: "Today is Monday." },
    { id: "rules", content: <MyRulesComponent />, audience: "model" },
  ]}
/>

createAgent(config, options?)

Create an App from a config object — no JSX required.

const app = createAgent(
  {
    system: "You are helpful.",
    model: openai("gpt-4o"),
    tools: [SearchTool],
  },
  { maxTicks: 10 },
);

const result = await app.run({ messages: [...] }).result;

config accepts all AgentProps except children. For conditional tools, hooks, or composition, use <Agent> directly.

agentComponent(config)

Convert an AgentConfig to a ComponentFunction for use with session.spawn():

const result = await ctx.spawn(
  agentComponent({ system: "Summarize this.", model: summaryModel }),
  { messages: [...] },
);

Exports

// Components
export { Agent } from "./agent";
export { createAgent, agentComponent } from "./create-agent";

// Types
export type {
  AgentProps,
  AgentTokenBudgetConfig,
  AgentTimelineConfig,
  AgentSectionConfig,
} from "./agent";
export type { AgentConfig } from "./create-agent";