Agent SDK

Runtime Profiles For Different Agent Behaviors

Use fast, balanced, deep, or research as operational presets. They are real tradeoff bundles for context budget, delegation depth, memory policy, and watchdog behavior.

Planning That Fits Autonomous Work

Smart planning is aimed at agents that own multi-step work. The durable plan lives on result.state.plan instead of being trapped in transient UI events.

Summarization With Recovery Paths

Long-running agents can compact tool-heavy history without going blind. Archived outputs remain recoverable through get_tool_response when the agent needs raw evidence again.

MCP And External Tool Systems

Bridge MCP-hosted tools through LangChain adapters and keep them inside the same typed, traceable runtime as local tools and approvals.

State, Resume, And Human Control

Pause execution, snapshot state, restore later, and gate risky tools through approvals without losing the agent's working context.

Tracing, Debugging, And Evaluation

Inspect tool calls, summaries, handoffs, token drift, and partial sink failures through structured traces built for real operational debugging.

Start Here

If you are integrating the SDK for the first time, read the docs in this order:

Getting Started to get a working agent into your app fast.

Core Concepts to understand what actually lives in state, what is emitted as an event, and what gets summarized.

Architecture to understand the smart wrapper, the base loop, and where runtime decisions are made.

Quick Start

import { createSmartAgent, createTool } from "@cognipeer/agent-sdk";
import { z } from "zod";

const lookup = createTool({
  name: "lookup_owner",
  description: "Return the owner for a project code",
  schema: z.object({ code: z.enum(["ORBIT", "NOVA"]) }),
  func: async ({ code }) => ({ owner: code === "ORBIT" ? "Ada Lovelace" : "Grace Hopper" }),
});

const agent = createSmartAgent({
  model,
  tools: [lookup],
  runtimeProfile: "balanced",
  planning: { mode: "todo" },
  limits: { maxToolCalls: 6, maxContextTokens: 12000 },
});

What This Site Optimizes For

Fast product onboarding without hand-wavy architecture claims.

Clear separation between the minimal loop and the smart runtime wrapper.

Production-oriented guidance for autonomous agents, especially around planning, context pressure, and tracing.

A product-led docs surface with platform attribution kept in the footer instead of the header.

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