pi-mono/packages/coding-agent/examples/sdk

SDK Examples

Programmatic usage of pi-coding-agent via createAgentSession() and createAgentSessionRuntime().

The runtime example shows how to build a recreate function that closes over process-global fixed inputs and recreates cwd-bound services and sessions as the active session cwd changes.

Examples

File	Description
01-minimal.ts	Simplest usage with all defaults
02-custom-model.ts	Select model and thinking level
03-custom-prompt.ts	Replace or modify system prompt
04-skills.ts	Discover, filter, or replace skills
05-tools.ts	Built-in tool allowlists
06-extensions.ts	Logging, blocking, result modification
07-context-files.ts	AGENTS.md context files
08-prompt-templates.ts	File-based prompt templates
09-api-keys-and-oauth.ts	API key resolution, OAuth config
10-settings.ts	Override compaction, retry, terminal settings
11-sessions.ts	In-memory, persistent, continue, list sessions
12-full-control.ts	Replace everything, no discovery
13-session-runtime.ts	Manage runtime-backed session replacement
14-codemode-mcp.ts	Add the codemode, tool_search, and MCP extensions

Running

cd packages/coding-agent
node examples/sdk/01-minimal.ts

Quick Reference

import { getModel } from "@earendil-works/pi-ai";
import {
  createAgentSession,
  DefaultResourceLoader,
  ModelRuntime,
  SessionManager,
  SettingsManager,
} from "@earendil-works/pi-coding-agent";

const modelRuntime = await ModelRuntime.create();

// Minimal
const { session } = await createAgentSession({ modelRuntime });

// Custom model
const model = getModel("anthropic", "claude-opus-4-5");
const { session } = await createAgentSession({ model, thinkingLevel: "high", modelRuntime });

// Modify prompt
const loader = new DefaultResourceLoader({
  systemPromptOverride: (base) => `${base}\n\nBe concise.`,
});
await loader.reload();
const { session } = await createAgentSession({ resourceLoader: loader, modelRuntime });

// Read-only
const { session } = await createAgentSession({ tools: ["read", "grep", "find", "ls"], modelRuntime });

// In-memory
const { session } = await createAgentSession({
  sessionManager: SessionManager.inMemory(),
  modelRuntime,
});

// Full control
const customRuntime = await ModelRuntime.create({
  authPath: "/my/app/auth.json",
  modelsPath: "/my/app/models.json",
});
await customRuntime.setRuntimeApiKey("anthropic", process.env.MY_KEY!);

const resourceLoader = new DefaultResourceLoader({
  systemPromptOverride: () => "You are helpful.",
  extensionFactories: [myExtension],
  skillsOverride: () => ({ skills: [], diagnostics: [] }),
  agentsFilesOverride: () => ({ agentsFiles: [] }),
  promptsOverride: () => ({ prompts: [], diagnostics: [] }),
});
await resourceLoader.reload();

const { session } = await createAgentSession({
  model,
  modelRuntime: customRuntime,
  resourceLoader,
  tools: ["read", "bash", "my_tool"],
  customTools: [myTool],
  sessionManager: SessionManager.inMemory(),
  settingsManager: SettingsManager.inMemory(),
});

// Run prompts
session.subscribe((event) => {
  if (event.type === "message_update" && event.assistantMessageEvent.type === "text_delta") {
    process.stdout.write(event.assistantMessageEvent.delta);
  }
});
await session.prompt("Hello");

Options

Option	Default	Description
modelRuntime	Runtime using agentDir/auth.json and models.json	Canonical model and authentication runtime
cwd	process.cwd()	Working directory
agentDir	~/.pi/agent	Config directory
model	From settings/first available	Model to use
thinkingLevel	From settings/"off"	off, low, medium, high
tools	["read", "bash", "edit", "write"] built-ins	Allowlist tool names across built-in, extension, and custom tools
customTools	[]	Additional tool definitions
resourceLoader	DefaultResourceLoader	Resource loader for extensions, skills, prompts, themes, and context files
sessionManager	SessionManager.create(cwd)	Persistence
settingsManager	SettingsManager.create(cwd, agentDir)	Settings overrides

Events

session.subscribe((event) => {
  switch (event.type) {
    case "message_update":
      if (event.assistantMessageEvent.type === "text_delta") {
        process.stdout.write(event.assistantMessageEvent.delta);
      }
      break;
    case "tool_execution_start":
      console.log(`Tool: ${event.toolName}`);
      break;
    case "tool_execution_end":
      console.log(`Result: ${event.result}`);
      break;
    case "agent_settled":
      console.log("Done");
      break;
  }
});