pi 可以帮助你使用 SDK。让它为你的用例构建一个集成。
SDK
SDK 提供了对 pi 智能体能力的编程访问。使用它可以将 pi 嵌入其他应用程序、构建自定义界面或与自动化工作流集成。
示例用例:
- 构建自定义 UI(Web、桌面、移动端)
- 将智能体能力集成到现有应用程序中
- 创建具有智能体推理能力的自动化流水线
- 构建可生成子智能体的自定义工具
- 以编程方式测试智能体行为
请参阅 示例/软件开发工具包/ 获取从最小示例到完全控制的工作示例。
快速入门
import { createAgentSession, ModelRuntime, SessionManager } from "@earendil-works/pi-coding-agent";
const modelRuntime = await ModelRuntime.create();
const { session } = await createAgentSession({
sessionManager: SessionManager.inMemory(),
modelRuntime,
});
session.subscribe((event) => {
if (event.type === "message_update" && event.assistantMessageEvent.type === "text_delta") {
process.stdout.write(event.assistantMessageEvent.delta);
}
});
await session.prompt("What files are in the current directory?");安装
npm install @earendil-works/pi-coding-agentSDK 包含在主包中。无需单独安装。
核心概念
createAgentSession()
是单个 AgentSession.
createAgentSession() 的主要工厂函数,它使用 ResourceLoader 来提供扩展、技能、提示词模板、主题和上下文文件。如果你不提供,它将使用 DefaultResourceLoader 进行标准发现。
import { createAgentSession, SessionManager } from "@earendil-works/pi-coding-agent";
// Minimal: defaults with DefaultResourceLoader
const { session } = await createAgentSession();
// Custom: override specific options
const { session } = await createAgentSession({
model: myModel,
tools: ["read", "bash"],
sessionManager: SessionManager.inMemory(),
});代理会话
会话管理智能体的生命周期、消息历史、模型状态、压缩和事件流。
interface AgentSession {
// Send a prompt and wait for completion
prompt(text: string, options?: PromptOptions): Promise<void>;
// Queue messages during streaming
steer(text: string): Promise<void>;
followUp(text: string): Promise<void>;
// Subscribe to events (returns unsubscribe function)
subscribe(listener: (event: AgentSessionEvent) => void): () => void;
// Session info
sessionFile: string | undefined;
sessionId: string;
// Model control
setModel(model: Model): Promise<void>;
setThinkingLevel(level: ThinkingLevel): void;
cycleModel(): Promise<ModelCycleResult | undefined>;
cycleThinkingLevel(): ThinkingLevel | undefined;
// State access
agent: Agent;
model: Model | undefined;
thinkingLevel: ThinkingLevel;
messages: AgentMessage[];
isStreaming: boolean;
// In-place tree navigation within the current session file
navigateTree(targetId: string, options?: { summarize?: boolean; customInstructions?: string; replaceInstructions?: boolean; label?: string }): Promise<{ editorText?: string; cancelled: boolean }>;
// Compaction
compact(customInstructions?: string): Promise<CompactionResult>;
abortCompaction(): void;
// Abort current operation
abort(): Promise<void>;
// Cleanup
dispose(): void;
}会话替换 API,如 new-session、resume、fork 和 import,位于 AgentSessionRuntime上,而不是 AgentSession.
createAgentSessionRuntime() 和 AgentSessionRuntime
当你需要替换活动会话并重建与 cwd 绑定的运行时状态时,请使用运行时 API。 这与内置的交互模式、打印模式和 RPC 模式使用的层相同。
createAgentSessionRuntime() 接受一个运行时工厂以及初始的 cwd/会话目标。该工厂闭包了进程全局的固定输入,为有效的 cwd 重新创建与 cwd 绑定的服务,根据这些服务解析会话选项,并返回完整的运行时结果。
import {
type CreateAgentSessionRuntimeFactory,
createAgentSessionFromServices,
createAgentSessionRuntime,
createAgentSessionServices,
getAgentDir,
SessionManager,
} from "@earendil-works/pi-coding-agent";
const createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {
const services = await createAgentSessionServices({ cwd });
return {
...(await createAgentSessionFromServices({
services,
sessionManager,
sessionStartEvent,
})),
services,
diagnostics: services.diagnostics,
};
};
const runtime = await createAgentSessionRuntime(createRuntime, {
cwd: process.cwd(),
agentDir: getAgentDir(),
sessionManager: SessionManager.create(process.cwd()),
});AgentSessionRuntime 拥有跨以下操作的活动运行时替换:
newSession()switchSession()fork()- 克隆流程通过
fork(entryId, { position: "at" }) importFromJsonl()
重要行为:
runtime.session在这些操作后发生变化- 事件订阅附加到特定的
AgentSession,因此在替换后需要重新订阅 - 如果你使用扩展,请为新的会话再次调用
runtime.session.bindExtensions(...)再次用于新会话 - 创建会在
runtime.diagnostics - 如果运行时创建或替换失败,该方法会抛出异常,由调用者决定如何处理
let session = runtime.session;
let unsubscribe = session.subscribe(() => {});
await runtime.newSession();
unsubscribe();
session = runtime.session;
unsubscribe = session.subscribe(() => {});提示和消息队列
PromptOptions 控制提示扩展、流式传输时的排队行为以及提示预检通知:
interface PromptOptions {
expandPromptTemplates?: boolean;
images?: ImageContent[];
streamingBehavior?: "steer" | "followUp";
source?: InputSource;
preflightResult?: (success: boolean) => void;
}preflightResult 在每次 prompt() 调用时调用一次:
true当提示被接受、排队或立即处理时false当提示预检在接收前被拒绝时
它在 prompt() 解析之前触发。 prompt() 仍然只在完整的接受运行结束后才解析,包括重试。接受后的失败通过正常的事件和消息流报告,而不是通过 preflightResult(false).
该 prompt() 方法处理提示词模板、扩展命令和消息发送:
// Basic prompt (when not streaming)
await session.prompt("What files are here?");
// With images
await session.prompt("What's in this image?", {
images: [{ type: "image", source: { type: "base64", mediaType: "image/png", data: "..." } }]
});
// During streaming: must specify how to queue the message
await session.prompt("Stop and do this instead", { streamingBehavior: "steer" });
await session.prompt("After you're done, also check X", { streamingBehavior: "followUp" });行为:
- 扩展命令 (例如,
/mycommand):立即执行,即使在流式传输期间也是如此。它们通过pi.sendMessage(). - 基于文件的提示词模板 (来自
.md文件):在发送或排队之前展开为其内容。 - 在没有
streamingBehavior的情况下进行流式传输时:抛出错误。请直接使用steer()或followUp(),或指定该选项。 preflightResult(true):表示提示词已被接受、排队或立即处理。preflightResult(false):表示在接受前预检被拒绝。
在流式传输期间显式排队:
// Queue a steering message for delivery after the current assistant turn finishes its tool calls
await session.steer("New instruction");
// Wait for agent to finish (delivered only when agent stops)
await session.followUp("After you're done, also do this");两者 steer() 和 followUp() 会展开基于文件的提示词模板,但对扩展命令会报错(扩展命令无法排队)。
Agent 和 AgentState
该 Agent 类(来自 @earendil-works/pi-agent-core)处理核心的 LLM 交互。通过 session.agent.
// Access current state
const state = session.agent.state;
// state.messages: AgentMessage[] - conversation history
// state.model: Model - current model
// state.thinkingLevel: ThinkingLevel - current thinking level
// state.systemPrompt: string - system prompt
// state.tools: AgentTool[] - available tools
// state.streamingMessage?: AgentMessage - current partial assistant message
// state.errorMessage?: string - latest assistant error
// Replace messages (useful for branching or restoration)
session.agent.state.messages = messages; // copies the top-level array
// Replace tools
session.agent.state.tools = tools; // copies the top-level array
// Wait for agent to finish processing
await session.agent.waitForIdle();事件
订阅事件以接收流式输出和生命周期通知。
session.subscribe((event) => {
switch (event.type) {
// Streaming text from assistant
case "message_update":
if (event.assistantMessageEvent.type === "text_delta") {
process.stdout.write(event.assistantMessageEvent.delta);
}
if (event.assistantMessageEvent.type === "thinking_delta") {
// Thinking output (if thinking enabled)
}
break;
// Tool execution
case "tool_execution_start":
console.log(`Tool: ${event.toolName}`);
break;
case "tool_execution_update":
// Streaming tool output
break;
case "tool_execution_end":
console.log(`Result: ${event.isError ? "error" : "success"}`);
break;
// Message lifecycle
case "message_start":
// New message starting
break;
case "message_end":
// Message complete
break;
// Agent lifecycle
case "agent_start":
// Agent started processing prompt
break;
case "agent_end":
// Agent finished (event.messages contains new messages)
break;
// Turn lifecycle (one LLM response + tool calls)
case "turn_start":
break;
case "turn_end":
// event.message: assistant response
// event.toolResults: tool results from this turn
break;
// Session events (queue, compaction, retry)
case "queue_update":
console.log(event.steering, event.followUp);
break;
case "compaction_start":
case "compaction_end":
case "auto_retry_start":
case "auto_retry_end":
case "summarization_retry_scheduled":
case "summarization_retry_attempt_start":
case "summarization_retry_finished":
break;
}
});选项参考
目录
const { session } = await createAgentSession({
// Working directory for DefaultResourceLoader discovery
cwd: process.cwd(), // default
// Global config directory
agentDir: "~/.pi/agent", // default (expands ~)
});cwd 被 DefaultResourceLoader 用于:
- 项目扩展(
.pi/extensions/) - 项目技能:
.pi/skills/.agents/skills/在cwd和祖先目录中(直到 git 仓库根目录,或不在仓库中时为文件系统根目录)
- 项目提示词(
.pi/prompts/) - 上下文文件(
AGENTS.md从当前工作目录向上遍历) - 会话目录命名
agentDir 被 DefaultResourceLoader 用于:
- 全局扩展(
extensions/) - 全局技能:
skills/在agentDir下(例如~/.pi/agent/skills/)~/.agents/skills/
- 全局提示词(
prompts/) - 全局上下文文件(
AGENTS.md) - 设置(
settings.json) - 自定义模型(
models.json) - 凭证(
auth.json) - 会话(
sessions/)
当您传递自定义的 ResourceLoader, cwd 和 agentDir 不再控制资源发现。它们仍然影响会话命名和工具路径解析。
模型
import { getModel } from "@earendil-works/pi-ai";
import { ModelRuntime } from "@earendil-works/pi-coding-agent";
const modelRuntime = await ModelRuntime.create();
// Find specific built-in model (doesn't check if API key exists)
const opus = getModel("anthropic", "claude-opus-4-5");
if (!opus) throw new Error("Model not found");
// Find any model by provider/id, including custom models from models.json
// (doesn't check if API key exists)
const customModel = modelRuntime.getModel("my-provider", "my-model");
// Get only models that have valid authentication configured
const available = await modelRuntime.getAvailable();
const { session } = await createAgentSession({
model: opus,
thinkingLevel: "medium", // off, minimal, low, medium, high, xhigh, max
// Models for cycling (Ctrl+P in interactive mode)
scopedModels: [
{ model: opus, thinkingLevel: "high" },
{ model: haiku, thinkingLevel: "off" },
],
modelRuntime,
});如果未提供模型:
- 尝试从会话中恢复(如果继续)
- 使用设置中的默认值
- 回退到第一个可用模型
要匹配 CLI 模型解析,请使用导出的解析器助手:
import {
resolveCliModel,
resolveModelScopeWithDiagnostics,
} from "@earendil-works/pi-coding-agent";
const cliModel = resolveCliModel({
cliModel: "anthropic/claude-opus-4-5:high",
modelRuntime,
});
if (cliModel.error) throw new Error(cliModel.error);
if (cliModel.warning) console.warn(cliModel.warning);
const { scopedModels, diagnostics } = await resolveModelScopeWithDiagnostics(
["anthropic/*:high", "gpt-5"],
modelRuntime,
);
for (const diagnostic of diagnostics) {
console.warn(diagnostic.message);
}resolveCliModel() 使用所有已注册的模型,因此 --api-key 风格的首次设置可以在存储的认证存在之前解析模型。 resolveModelScopeWithDiagnostics() 匹配 --models 和 enabledModels 的语义,同时返回警告而不是打印它们。
API 密钥和 OAuth
认证解析优先级(由 ModelRuntime):
- 运行时覆盖(通过
setRuntimeApiKey,不持久化) - 存储在
auth.json(API 密钥或 OAuth 令牌) - 环境变量(
ANTHROPIC_API_KEY,OPENAI_API_KEY等) - 回退解析器(用于来自
models.json)
import { InMemoryCredentialStore } from "@earendil-works/pi-ai";
import { createAgentSession, ModelRuntime } from "@earendil-works/pi-coding-agent";
// Default: uses ~/.pi/agent/auth.json and ~/.pi/agent/models.json
const modelRuntime = await ModelRuntime.create();
// Provider-owned auth methods and current status
for (const provider of modelRuntime.getProviders()) {
const status = await modelRuntime.checkAuth(provider.id);
console.log(provider.name, provider.auth, status);
}
// Runtime API key override (not persisted to disk)
await modelRuntime.setRuntimeApiKey("anthropic", "sk-my-temp-key");
// Custom credential and model locations
const customRuntime = await ModelRuntime.create({
authPath: "/my/app/auth.json",
modelsPath: "/my/app/models.json",
});
// Or inject any pi-ai CredentialStore
const credentials = new InMemoryCredentialStore();
const inMemoryRuntime = await ModelRuntime.create({ credentials });
const { session } = await createAgentSession({
modelRuntime: customRuntime,
});login(), logout(), setRuntimeApiKey()和 removeRuntimeApiKey() 的自定义提供商密钥,在受影响提供商的缓存/内置目录、组合和可用性快照在本地一致后解析。它们不等待远程目录新鲜度。如果凭据已提交但本地同步失败,它们会拒绝并返回导出的 CredentialSynchronizationError;检查其 providerId, operation, credential和 cause 字段,而不是盲目重试凭据变更。
公共模型/认证操作和 ModelRuntime.create({ signal }) 接受可选的终止信号,省略时无超时限制。SDK 应用程序拥有远程目录新鲜度的截止时间策略:
const signal = AbortSignal.timeout(15_000);
const result = await modelRuntime.refresh({
providers: ["anthropic"],
signal,
});
if (result.aborted) console.warn("Catalog refresh timed out; using cached models");
for (const [providerId, error] of result.errors) {
console.warn(`Could not refresh ${providerId}:`, error);
}失败或超时的网络刷新不会撤销成功的凭据操作。 refresh() 启动新的提供商生成,因此它不会等待旧的停滞刷新,并且过时的生成之后无法发布。
系统提示词
使用 ResourceLoader 覆盖系统提示词:
import { createAgentSession, DefaultResourceLoader } from "@earendil-works/pi-coding-agent";
const loader = new DefaultResourceLoader({
systemPromptOverride: () => "You are a helpful assistant.",
});
await loader.reload();
const { session } = await createAgentSession({ resourceLoader: loader });工具
指定要启用的内置工具:
- 内置工具名称:
read,bash,edit,write,grep,find,ls - 默认内置工具:
read,bash,edit,write noTools: "all"禁用所有工具noTools: "builtin"禁用默认内置工具,同时保持扩展和自定义工具启用excludeTools在应用任何tools允许列表后,禁用特定的内置、扩展或自定义工具名称
该 edit 工具为 Pi 的 TUI 显示返回 details.diff ,为 SDK 消费者返回 details.patch 作为标准统一补丁。
import { createAgentSession } from "@earendil-works/pi-coding-agent";
// Read-only mode
const { session } = await createAgentSession({
tools: ["read", "grep", "find", "ls"],
});
// Pick specific tools
const { session } = await createAgentSession({
tools: ["read", "bash", "grep"],
});
// Disable one tool while keeping the rest available
const { session } = await createAgentSession({
excludeTools: ["ask_question"],
});使用自定义 cwd 的工具
当您传递自定义 cwd, createAgentSession() 时,会为该 cwd 构建选定的内置工具。
import { createAgentSession, SessionManager } from "@earendil-works/pi-coding-agent";
const cwd = "/path/to/project";
// Use default tools for custom cwd
const { session } = await createAgentSession({
cwd,
sessionManager: SessionManager.inMemory(cwd),
});
// Or pick specific tools for custom cwd
const { session } = await createAgentSession({
cwd,
tools: ["read", "bash", "grep"],
sessionManager: SessionManager.inMemory(cwd),
});自定义工具
import { Type } from "typebox";
import { createAgentSession, defineTool } from "@earendil-works/pi-coding-agent";
// Inline custom tool
const myTool = defineTool({
name: "my_tool",
label: "My Tool",
description: "Does something useful",
parameters: Type.Object({
input: Type.String({ description: "Input value" }),
}),
execute: async (_toolCallId, params) => ({
content: [{ type: "text", text: `Result: ${params.input}` }],
details: {},
}),
});
// Pass custom tools directly
const { session } = await createAgentSession({
customTools: [myTool],
});使用 defineTool() 进行独立定义,使用类似 customTools: [myTool]的数组。内联 pi.registerTool({ ... }) 已经正确推断参数类型。
通过 customTools 传递的自定义工具与扩展注册的工具合并。由 ResourceLoader 加载的扩展也可以通过 pi.registerTool().
注册工具。如果您传递 tools,请包含您想要启用的每个自定义或扩展工具名称,例如 tools: ["read", "bash", "my_tool"].
扩展
扩展由 ResourceLoader. DefaultResourceLoader 加载,它从 ~/.pi/agent/extensions/, .pi/extensions/和 settings.json 扩展源中发现扩展。
import { createAgentSession, DefaultResourceLoader } from "@earendil-works/pi-coding-agent";
const loader = new DefaultResourceLoader({
additionalExtensionPaths: ["/path/to/my-extension.ts"],
extensionFactories: [
(pi) => {
pi.on("agent_start", () => {
console.log("[Inline Extension] Agent starting");
});
},
],
});
await loader.reload();
const { session } = await createAgentSession({ resourceLoader: loader });扩展可以注册工具、订阅事件、添加命令等。完整 API 请参见 extensions.md 获取完整 API。
命名内联扩展: 默认情况下,内联工厂显示为 <inline:1>, <inline:2>等,在启动扩展列表中。要显示描述性名称,请包装工厂:
import type { InlineExtension } from "@earendil-works/pi-coding-agent";
const myProvider: InlineExtension = {
name: "my-provider",
factory: (pi) => {
pi.on("agent_start", () => {
console.log("[my-provider] Agent starting");
});
},
};
const loader = new DefaultResourceLoader({
extensionFactories: [myProvider],
});这将显示为 <inline:my-provider> 而不是 <inline:1>。为了向后兼容,仍然接受裸工厂函数。
事件总线: 扩展可以通过 pi.events进行通信。如果需要从外部发送或监听,请将共享的 eventBus 传递给 DefaultResourceLoader 如果你需要从外部发出或监听:
import { createEventBus, DefaultResourceLoader } from "@earendil-works/pi-coding-agent";
const eventBus = createEventBus();
const loader = new DefaultResourceLoader({
eventBus,
});
await loader.reload();
eventBus.on("my-extension:status", (data) => console.log(data));技能
import {
createAgentSession,
DefaultResourceLoader,
type Skill,
} from "@earendil-works/pi-coding-agent";
const customSkill: Skill = {
name: "my-skill",
description: "Custom instructions",
filePath: "/path/to/SKILL.md",
baseDir: "/path/to",
source: "custom",
};
const loader = new DefaultResourceLoader({
skillsOverride: (current) => ({
skills: [...current.skills, customSkill],
diagnostics: current.diagnostics,
}),
});
await loader.reload();
const { session } = await createAgentSession({ resourceLoader: loader });上下文文件
import { createAgentSession, DefaultResourceLoader } from "@earendil-works/pi-coding-agent";
const loader = new DefaultResourceLoader({
agentsFilesOverride: (current) => ({
agentsFiles: [
...current.agentsFiles,
{ path: "/virtual/AGENTS.md", content: "# Guidelines\n\n- Be concise" },
],
}),
});
await loader.reload();
const { session } = await createAgentSession({ resourceLoader: loader });斜杠命令
import {
createAgentSession,
DefaultResourceLoader,
type PromptTemplate,
} from "@earendil-works/pi-coding-agent";
const customCommand: PromptTemplate = {
name: "deploy",
description: "Deploy the application",
source: "(custom)",
content: "# Deploy\n\n1. Build\n2. Test\n3. Deploy",
};
const loader = new DefaultResourceLoader({
promptsOverride: (current) => ({
prompts: [...current.prompts, customCommand],
diagnostics: current.diagnostics,
}),
});
await loader.reload();
const { session } = await createAgentSession({ resourceLoader: loader });会话管理
会话使用树状结构,通过 id/parentId 链接,支持原地分支。
import {
type CreateAgentSessionRuntimeFactory,
createAgentSession,
createAgentSessionFromServices,
createAgentSessionRuntime,
createAgentSessionServices,
getAgentDir,
SessionManager,
} from "@earendil-works/pi-coding-agent";
// In-memory (no persistence)
const { session } = await createAgentSession({
sessionManager: SessionManager.inMemory(),
});
// New persistent session
const { session: persisted } = await createAgentSession({
sessionManager: SessionManager.create(process.cwd()),
});
// Continue most recent
const { session: continued, modelFallbackMessage } = await createAgentSession({
sessionManager: SessionManager.continueRecent(process.cwd()),
});
if (modelFallbackMessage) {
console.log("Note:", modelFallbackMessage);
}
// Open specific file
const { session: opened } = await createAgentSession({
sessionManager: SessionManager.open("/path/to/session.jsonl"),
});
// List sessions
const currentProjectSessions = await SessionManager.list(process.cwd());
const allSessions = await SessionManager.listAll(process.cwd());
// Session replacement API for /new, /resume, /fork, /clone, and import flows.
const createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {
const services = await createAgentSessionServices({ cwd });
return {
...(await createAgentSessionFromServices({
services,
sessionManager,
sessionStartEvent,
})),
services,
diagnostics: services.diagnostics,
};
};
const runtime = await createAgentSessionRuntime(createRuntime, {
cwd: process.cwd(),
agentDir: getAgentDir(),
sessionManager: SessionManager.create(process.cwd()),
});
// Replace the active session with a fresh one
await runtime.newSession();
// Replace the active session with another saved session
await runtime.switchSession("/path/to/session.jsonl");
// Replace the active session with a fork from a specific user entry
await runtime.fork("entry-id");
// Clone the active path through a specific entry
await runtime.fork("entry-id", { position: "at" });SessionManager 树 API:
const sm = SessionManager.open("/path/to/session.jsonl");
// Session listing
const currentProjectSessions = await SessionManager.list(process.cwd());
const allSessions = await SessionManager.listAll(process.cwd());
// Tree traversal
const entries = sm.getEntries(); // All entries (excludes header)
const tree = sm.getTree(); // Full tree structure
const path = sm.getPath(); // Path from root to current leaf
const leaf = sm.getLeafEntry(); // Current leaf entry
const entry = sm.getEntry(id); // Get entry by ID
const children = sm.getChildren(id); // Direct children of entry
// Labels
const label = sm.getLabel(id); // Get label for entry
sm.appendLabelChange(id, "checkpoint"); // Set label
// Branching
sm.branch(entryId); // Move leaf to earlier entry
sm.branchWithSummary(id, "Summary..."); // Branch with context summary
sm.createBranchedSession(leafId); // Extract path to new file设置管理
import { createAgentSession, SettingsManager, SessionManager } from "@earendil-works/pi-coding-agent";
// Default: loads from files (global + project merged)
const { session } = await createAgentSession({
settingsManager: SettingsManager.create(),
});
// With overrides
const settingsManager = SettingsManager.create();
settingsManager.applyOverrides({
compaction: { enabled: false },
retry: { enabled: true, maxRetries: 5 },
});
const { session } = await createAgentSession({ settingsManager });
// In-memory (no file I/O, for testing)
const { session } = await createAgentSession({
settingsManager: SettingsManager.inMemory({ compaction: { enabled: false } }),
sessionManager: SessionManager.inMemory(),
});
// Custom directories
const { session } = await createAgentSession({
settingsManager: SettingsManager.create("/custom/cwd", "/custom/agent"),
});静态工厂:
SettingsManager.create(cwd?, agentDir?)- 从文件加载SettingsManager.inMemory(settings?)- 无文件 I/O
项目特定设置:
设置从两个位置加载并合并:
- 全局:
~/.pi/agent/settings.json - 项目:
<cwd>/.pi/settings.json
项目覆盖全局。嵌套对象合并键。设置器默认修改全局设置。
持久化和错误处理语义:
- 设置获取器/设置器对于内存状态是同步的。
- 设置器异步排队持久化写入。
- 当需要持久化边界时(例如,在进程退出前或在测试中断言文件内容前),调用
await settingsManager.flush()当你需要持久化边界时(例如,在进程退出前或在测试中断言文件内容前)。 SettingsManager不会打印设置 I/O 错误。使用settingsManager.drainErrors()并在应用层报告它们。
资源加载器
使用 DefaultResourceLoader 来发现扩展、技能、提示词、主题和上下文文件。
import {
DefaultResourceLoader,
getAgentDir,
} from "@earendil-works/pi-coding-agent";
const loader = new DefaultResourceLoader({
cwd,
agentDir: getAgentDir(),
});
await loader.reload();
const extensions = loader.getExtensions();
const skills = loader.getSkills();
const prompts = loader.getPrompts();
const themes = loader.getThemes();
const contextFiles = loader.getAgentsFiles().agentsFiles;返回值
createAgentSession() 返回:
interface CreateAgentSessionResult {
// The session
session: AgentSession;
// Extensions result (for runner setup)
extensionsResult: LoadExtensionsResult;
// Warning if session model couldn't be restored
modelFallbackMessage?: string;
}
interface LoadExtensionsResult {
extensions: Extension[];
errors: Array<{ path: string; error: string }>;
runtime: ExtensionRuntime;
}完整示例
import { getModel } from "@earendil-works/pi-ai";
import { Type } from "typebox";
import {
createAgentSession,
DefaultResourceLoader,
defineTool,
ModelRuntime,
SessionManager,
SettingsManager,
} from "@earendil-works/pi-coding-agent";
const modelRuntime = await ModelRuntime.create({
authPath: "/custom/agent/auth.json",
modelsPath: "/custom/agent/models.json",
});
if (process.env.MY_KEY) {
await modelRuntime.setRuntimeApiKey("anthropic", process.env.MY_KEY);
}
// Inline tool
const statusTool = defineTool({
name: "status",
label: "Status",
description: "Get system status",
parameters: Type.Object({}),
execute: async () => ({
content: [{ type: "text", text: `Uptime: ${process.uptime()}s` }],
details: {},
}),
});
const model = getModel("anthropic", "claude-opus-4-5");
if (!model) throw new Error("Model not found");
// In-memory settings with overrides
const settingsManager = SettingsManager.inMemory({
compaction: { enabled: false },
retry: { enabled: true, maxRetries: 2 },
});
const loader = new DefaultResourceLoader({
cwd: process.cwd(),
agentDir: "/custom/agent",
settingsManager,
systemPromptOverride: () => "You are a minimal assistant. Be concise.",
});
await loader.reload();
const { session } = await createAgentSession({
cwd: process.cwd(),
agentDir: "/custom/agent",
model,
thinkingLevel: "off",
modelRuntime,
tools: ["read", "bash", "status"],
customTools: [statusTool],
resourceLoader: loader,
sessionManager: SessionManager.inMemory(),
settingsManager,
});
session.subscribe((event) => {
if (event.type === "message_update" && event.assistantMessageEvent.type === "text_delta") {
process.stdout.write(event.assistantMessageEvent.delta);
}
});
await session.prompt("Get status and list files.");运行模式
SDK 导出运行模式工具,用于在 createAgentSession():
交互模式
完整的 TUI 交互模式,包含编辑器、聊天历史记录和所有内置命令:
import {
type CreateAgentSessionRuntimeFactory,
createAgentSessionFromServices,
createAgentSessionRuntime,
createAgentSessionServices,
getAgentDir,
InteractiveMode,
SessionManager,
} from "@earendil-works/pi-coding-agent";
const createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {
const services = await createAgentSessionServices({ cwd });
return {
...(await createAgentSessionFromServices({ services, sessionManager, sessionStartEvent })),
services,
diagnostics: services.diagnostics,
};
};
const runtime = await createAgentSessionRuntime(createRuntime, {
cwd: process.cwd(),
agentDir: getAgentDir(),
sessionManager: SessionManager.create(process.cwd()),
});
const mode = new InteractiveMode(runtime, {
migratedProviders: [],
modelFallbackMessage: undefined,
initialMessage: "Hello",
initialImages: [],
initialMessages: [],
});
await mode.run();runPrintMode
单次模式:发送提示词,输出结果,退出:
import {
type CreateAgentSessionRuntimeFactory,
createAgentSessionFromServices,
createAgentSessionRuntime,
createAgentSessionServices,
getAgentDir,
runPrintMode,
SessionManager,
} from "@earendil-works/pi-coding-agent";
const createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {
const services = await createAgentSessionServices({ cwd });
return {
...(await createAgentSessionFromServices({ services, sessionManager, sessionStartEvent })),
services,
diagnostics: services.diagnostics,
};
};
const runtime = await createAgentSessionRuntime(createRuntime, {
cwd: process.cwd(),
agentDir: getAgentDir(),
sessionManager: SessionManager.create(process.cwd()),
});
await runPrintMode(runtime, {
mode: "text",
initialMessage: "Hello",
initialImages: [],
messages: ["Follow up"],
});runRpcMode
用于子进程集成的 JSON-RPC 模式:
import {
type CreateAgentSessionRuntimeFactory,
createAgentSessionFromServices,
createAgentSessionRuntime,
createAgentSessionServices,
getAgentDir,
runRpcMode,
SessionManager,
} from "@earendil-works/pi-coding-agent";
const createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {
const services = await createAgentSessionServices({ cwd });
return {
...(await createAgentSessionFromServices({ services, sessionManager, sessionStartEvent })),
services,
diagnostics: services.diagnostics,
};
};
const runtime = await createAgentSessionRuntime(createRuntime, {
cwd: process.cwd(),
agentDir: getAgentDir(),
sessionManager: SessionManager.create(process.cwd()),
});
await runRpcMode(runtime);请参阅 RPC 文档 了解 JSON 协议。
RPC 模式替代方案
对于不通过 SDK 构建的基于子进程的集成,请直接使用 CLI:
pi --mode rpc --no-session请参阅 RPC 文档 了解 JSON 协议。
在以下情况下首选 SDK:
- 您需要类型安全
- 您处于同一个 Node.js 进程中
- 您需要直接访问智能体状态
- 您希望以编程方式自定义工具/扩展
在以下情况下首选 RPC 模式:
- 您从其他语言进行集成
- 您需要进程隔离
- 您正在构建一个语言无关的客户端
导出
主入口点导出:
// Factory
createAgentSession
createAgentSessionRuntime
AgentSessionRuntime
// Auth and Models
ModelRuntime // implements pi-ai Models and owns credential storage
ModelRegistry // synchronous extension compatibility facade
CredentialSynchronizationError
resolveCliModel
resolveModelScopeWithDiagnostics
// Resource loading
DefaultResourceLoader
type ResourceLoader
createEventBus
// Constants and helpers
CONFIG_DIR_NAME
defineTool
getAgentDir
getPackageDir
getReadmePath
getDocsPath
getExamplesPath
// Session management
SessionManager
SettingsManager
// Tool factories
createCodingTools
createReadOnlyTools
createReadTool, createBashTool, createEditTool, createWriteTool
createGrepTool, createFindTool, createLsTool
// Types
type CreateAgentSessionOptions
type CreateAgentSessionResult
type ExtensionFactory
type InlineExtension
type ExtensionAPI
type ToolDefinition
type Skill
type PromptTemplate
type Tool有关扩展类型,请参阅 extensions.md 获取完整 API。