OpenClaw 嵌入式集成架构核心 Pi：4 个包 + 7 层管道，让 AI Agent 完全受控

import { runEmbeddedPiAgent } from"./agents/pi-embedded-runner.js";

const result = await runEmbeddedPiAgent({
  sessionId: "user-123",
  sessionKey: "main:whatsapp:+1234567890",
  sessionFile: "/path/to/session.jsonl",
  workspaceDir: "/path/to/workspace",
  config: openclawConfig,
  prompt: "Hello, how are you?",
  provider: "anthropic",
  model: "claude-sonnet-4-20250514",
  timeoutMs: 120_000,
  runId: "run-abc",
  onBlockReply: async (payload) => {
    await sendToChannel(payload.text, payload.mediaUrls);
  },
});

import {
  createAgentSession,
  DefaultResourceLoader,
  SessionManager,
  SettingsManager,
} from"@mariozechner/pi-coding-agent";

const resourceLoader = new DefaultResourceLoader({
  cwd: resolvedWorkspace,
  agentDir,
  settingsManager,
  additionalExtensionPaths,
});
await resourceLoader.reload();

const { session } = await createAgentSession({
  cwd: resolvedWorkspace,
  agentDir,
  authStorage: params.authStorage,
  modelRegistry: params.modelRegistry,
  model: params.model,
  thinkingLevel: mapThinkingLevel(params.thinkLevel),
  tools: builtInTools,
  customTools: allCustomTools,
  sessionManager,
  settingsManager,
  resourceLoader,
});

const subscription = subscribeEmbeddedPiSession({
  session: activeSession,
  runId: params.runId,
  verboseLevel: params.verboseLevel,
  reasoningMode: params.reasoningLevel,
  toolResultFormat: params.toolResultFormat,
  onToolResult: params.onToolResult,
  onReasoningStream: params.onReasoningStream,
  onBlockReply: params.onBlockReply,
  onPartialReply: params.onPartialReply,
  onAgentEvent: params.onAgentEvent,
});

// src/tui/tui.ts
import { ... } from "@mariozechner/pi-tui";

export function toToolDefinitions(tools: AnyAgentTool[]): ToolDefinition[] {
  return tools.map((tool) => ({
    name: tool.name,
    label: tool.label ?? name,
    description: tool.description ?? "",
    parameters: tool.parameters,
    execute: async (toolCallId, params, onUpdate, _ctx, signal) => {
      // pi-coding-agent signature differs from pi-agent-core
      return await tool.execute(toolCallId, params, signal, onUpdate);
    },
  }));
}

const authStore = ensureAuthProfileStore(agentDir, { allowKeychainPrompt: false });
const profileOrder = resolveAuthProfileOrder({ cfg, store: authStore, provider, preferredProfile });

await markAuthProfileFailure({ store, profileId, reason, cfg, agentDir });
const rotated = await advanceAuthProfile();

if (fallbackConfigured && isFailoverErrorMessage(errorText)) {
  throw new FailoverError(errorText, {
    reason: promptFailoverReason ?? "unknown",
    provider,
    model: modelId,
    profileId,
    status: resolveFailoverStatus(promptFailoverReason),
  });
}

isContextOverflowError(errorText)     // 上下文太大
isCompactionFailureError(errorText)   // 压缩失败
isAuthAssistantError(lastAssistant)   // 认证失败
isRateLimitAssistantError(...)        // 速率限制
isFailoverAssistantError(...)         // 应该故障转移
classifyFailoverReason(errorText)     // "auth" | "rate_limit" | "quota" | "timeout" | ...

const fallbackThinking = pickFallbackThinkingLevel({
  message: errorText,
  attempted: attemptedThinking,
});
if (fallbackThinking) {
  thinkLevel = fallbackThinking;
  continue;
}

if (resolveCompactionMode(params.cfg) === "safeguard") {
  setCompactionSafeguardRuntime(params.sessionManager, { maxHistoryShare });
  paths.push(resolvePiExtensionPath("compaction-safeguard"));
}

if (cfg?.agents?.defaults?.contextPruning?.mode === "cache-ttl") {
  setContextPruningRuntime(params.sessionManager, {
    settings,
    contextWindowTokens,
    isToolPrunable,
    lastCacheTouchAt,
  });
  paths.push(resolvePiExtensionPath("context-pruning"));
}

const sandbox = await resolveSandboxContext({
  config: params.config,
  sessionKey: sandboxSessionKey,
  workspaceDir: resolvedWorkspace,
});

if (sandboxRoot) {
  // 使用沙箱化的 read/edit/write 工具
  // Exec 在容器中运行
  // Browser 使用桥接 URL
}

src/agents/
├── pi-embedded-runner.ts          # 从 pi-embedded-runner/ 重新导出
├── pi-embedded-runner/
│   ├── run.ts                     # 主入口: runEmbeddedPiAgent()
│   ├── run/
│   │   ├── attempt.ts             # 单次尝试逻辑与会话设置
│   │   ├── params.ts              # RunEmbeddedPiAgentParams 类型
│   │   ├── payloads.ts            # 从运行结果构建响应负载
│   │   ├── images.ts              # 视觉模型图像注入
│   │   └── types.ts               # EmbeddedRunAttemptResult
│   ├── abort.ts                   # 中止错误检测
│   ├── cache-ttl.ts               # 上下文修剪的缓存 TTL 跟踪
│   ├── compact.ts                 # 手动/自动压缩逻辑
│   ├── extensions.ts              # 为嵌入式运行加载 pi 扩展
│   ├── session-manager-cache.ts   # SessionManager 实例缓存
│   ├── session-manager-init.ts    # 会话文件初始化
│   ├── system-prompt.ts           # 系统提示构建器
│   ├── tool-split.ts              # 将工具分为 builtIn vs custom
│   └── ...
├── pi-embedded-subscribe.ts       # 会话事件订阅/分发
├── pi-tools.ts                    # createOpenClawCodingTools()
├── pi-settings.ts                 # 设置覆盖
├── pi-extensions/                 # 自定义 pi 扩展
│   ├── compaction-safeguard.ts    # 保护扩展
│   └── context-pruning.ts         # 缓存-TTL 上下文修剪扩展
├── auth-profiles.ts               # 配置存储、冷却、故障转移
├── model-selection.ts             # 默认模型解析
├── system-prompt.ts               # buildAgentSystemPrompt()
├── sandbox.ts                     # 沙箱上下文解析
├── channel-tools.ts               # 渠道特定工具注入
└── tools/                         # 单独工具实现
    ├── browser-tool.ts
    ├── canvas-tool.ts
    ├── cron-tool.ts
    └── ...