Pi Integration Architecture

This document describes how OpenClaw integrates with pi-coding-agent and its sibling packages (pi-ai, pi-agent-core, pi-tui) to power its AI agent capabilities.

Overview

OpenClaw uses the pi SDK to embed an AI coding agent into its messaging gateway architecture. Instead of spawning pi as a subprocess or using RPC mode, OpenClaw directly imports and instantiates pi’s AgentSession via createAgentSession(). This embedded approach provides:

Full control over session lifecycle and event handling
Custom tool injection (messaging, sandbox, channel-specific actions)
System prompt customization per channel/context
Session persistence with branching/compaction support
Multi-account auth profile rotation with failover
Provider-agnostic model switching

Package Dependencies

{
  "@mariozechner/pi-agent-core": "0.49.3",
  "@mariozechner/pi-ai": "0.49.3",
  "@mariozechner/pi-coding-agent": "0.49.3",
  "@mariozechner/pi-tui": "0.49.3"
}

Package	Purpose
`pi-ai`	Core LLM abstractions: `Model`, `streamSimple`, message types, provider APIs
`pi-agent-core`	Agent loop, tool execution, `AgentMessage` types
`pi-coding-agent`	High-level SDK: `createAgentSession`, `SessionManager`, `AuthStorage`, `ModelRegistry`, built-in tools
`pi-tui`	Terminal UI components (used in OpenClaw’s local TUI mode)

File Structure

src/agents/
├── pi-embedded-runner.ts          # Re-exports from pi-embedded-runner/
├── pi-embedded-runner/
│   ├── run.ts                     # Main entry: runEmbeddedPiAgent()
│   ├── run/
│   │   ├── attempt.ts             # Single attempt logic with session setup
│   │   ├── params.ts              # RunEmbeddedPiAgentParams type
│   │   ├── payloads.ts            # Build response payloads from run results
│   │   ├── images.ts              # Vision model image injection
│   │   └── types.ts               # EmbeddedRunAttemptResult
│   ├── abort.ts                   # Abort error detection
│   ├── cache-ttl.ts               # Cache TTL tracking for context pruning
│   ├── compact.ts                 # Manual/auto compaction logic
│   ├── extensions.ts              # Load pi extensions for embedded runs
│   ├── extra-params.ts            # Provider-specific stream params
│   ├── google.ts                  # Google/Gemini turn ordering fixes
│   ├── history.ts                 # History limiting (DM vs group)
│   ├── lanes.ts                   # Session/global command lanes
│   ├── logger.ts                  # Subsystem logger
│   ├── model.ts                   # Model resolution via ModelRegistry
│   ├── runs.ts                    # Active run tracking, abort, queue
│   ├── sandbox-info.ts            # Sandbox info for system prompt
│   ├── session-manager-cache.ts   # SessionManager instance caching
│   ├── session-manager-init.ts    # Session file initialization
│   ├── system-prompt.ts           # System prompt builder
│   ├── tool-split.ts              # Split tools into builtIn vs custom
│   ├── types.ts                   # EmbeddedPiAgentMeta, EmbeddedPiRunResult
│   └── utils.ts                   # ThinkLevel mapping, error description
├── pi-embedded-subscribe.ts       # Session event subscription/dispatch
├── pi-embedded-subscribe.types.ts # SubscribeEmbeddedPiSessionParams
├── pi-embedded-subscribe.handlers.ts # Event handler factory
├── pi-embedded-subscribe.handlers.lifecycle.ts
├── pi-embedded-subscribe.handlers.types.ts
├── pi-embedded-block-chunker.ts   # Streaming block reply chunking
├── pi-embedded-messaging.ts       # Messaging tool sent tracking
├── pi-embedded-helpers.ts         # Error classification, turn validation
├── pi-embedded-helpers/           # Helper modules
├── pi-embedded-utils.ts           # Formatting utilities
├── pi-tools.ts                    # createOpenClawCodingTools()
├── pi-tools.abort.ts              # AbortSignal wrapping for tools
├── pi-tools.policy.ts             # Tool allowlist/denylist policy
├── pi-tools.read.ts               # Read tool customizations
├── pi-tools.schema.ts             # Tool schema normalization
├── pi-tools.types.ts              # AnyAgentTool type alias
├── pi-tool-definition-adapter.ts  # AgentTool -> ToolDefinition adapter
├── pi-settings.ts                 # Settings overrides
├── pi-extensions/                 # Custom pi extensions
│   ├── compaction-safeguard.ts    # Safeguard extension
│   ├── compaction-safeguard-runtime.ts
│   ├── context-pruning.ts         # Cache-TTL context pruning extension
│   └── context-pruning/
├── model-auth.ts                  # Auth profile resolution
├── auth-profiles.ts               # Profile store, cooldown, failover
├── model-selection.ts             # Default model resolution
├── models-config.ts               # models.json generation
├── model-catalog.ts               # Model catalog cache
├── context-window-guard.ts        # Context window validation
├── failover-error.ts              # FailoverError class
├── defaults.ts                    # DEFAULT_PROVIDER, DEFAULT_MODEL
├── system-prompt.ts               # buildAgentSystemPrompt()
├── system-prompt-params.ts        # System prompt parameter resolution
├── system-prompt-report.ts        # Debug report generation
├── tool-summaries.ts              # Tool description summaries
├── tool-policy.ts                 # Tool policy resolution
├── transcript-policy.ts           # Transcript validation policy
├── skills.ts                      # Skill snapshot/prompt building
├── skills/                        # Skill subsystem
├── sandbox.ts                     # Sandbox context resolution
├── sandbox/                       # Sandbox subsystem
├── channel-tools.ts               # Channel-specific tool injection
├── openclaw-tools.ts              # OpenClaw-specific tools
├── bash-tools.ts                  # exec/process tools
├── apply-patch.ts                 # apply_patch tool (OpenAI)
├── tools/                         # Individual tool implementations
│   ├── browser-tool.ts
│   ├── canvas-tool.ts
│   ├── cron-tool.ts
│   ├── discord-actions*.ts
│   ├── gateway-tool.ts
│   ├── image-tool.ts
│   ├── message-tool.ts
│   ├── nodes-tool.ts
│   ├── session*.ts
│   ├── slack-actions.ts
│   ├── telegram-actions.ts
│   ├── web-*.ts
│   └── whatsapp-actions.ts
└── ...

Core Integration Flow

1. Running an Embedded Agent

The main entry point is runEmbeddedPiAgent() in pi-embedded-runner/run.ts:

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);
  },
});

2. Session Creation

Inside runEmbeddedAttempt() (called by runEmbeddedPiAgent()), the pi SDK is used:

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,
});

applySystemPromptOverrideToSession(session, systemPromptOverride);

3. Event Subscription

subscribeEmbeddedPiSession() subscribes to pi’s AgentSession events:

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,
});

Events handled include:

message_start / message_end / message_update (streaming text/thinking)
tool_execution_start / tool_execution_update / tool_execution_end
turn_start / turn_end
agent_start / agent_end
auto_compaction_start / auto_compaction_end

4. Prompting

After setup, the session is prompted:

await session.prompt(effectivePrompt, { images: imageResult.images });

The SDK handles the full agent loop: sending to LLM, executing tool calls, streaming responses. Image injection is prompt-local: OpenClaw loads image refs from the current prompt and passes them via images for that turn only. It does not re-scan older history turns to re-inject image payloads.

Tool Architecture

Tool Pipeline

Base Tools: pi’s codingTools (read, bash, edit, write)
Custom Replacements: OpenClaw replaces bash with exec/process, customizes read/edit/write for sandbox
OpenClaw Tools: messaging, browser, canvas, sessions, cron, gateway, etc.
Channel Tools: Discord/Telegram/Slack/WhatsApp-specific action tools
Policy Filtering: Tools filtered by profile, provider, agent, group, sandbox policies
Schema Normalization: Schemas cleaned for Gemini/OpenAI quirks
AbortSignal Wrapping: Tools wrapped to respect abort signals

Tool Definition Adapter

pi-agent-core’s AgentTool has a different execute signature than pi-coding-agent’s ToolDefinition. The adapter in pi-tool-definition-adapter.ts bridges this:

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);
    },
  }));
}

Tool Split Strategy

splitSdkTools() passes all tools via customTools:

export function splitSdkTools(options: { tools: AnyAgentTool[]; sandboxEnabled: boolean }) {
  return {
    builtInTools: [], // Empty. We override everything
    customTools: toToolDefinitions(options.tools),
  };
}

This ensures OpenClaw’s policy filtering, sandbox integration, and extended toolset remain consistent across providers.

System Prompt Construction

The system prompt is built in buildAgentSystemPrompt() (system-prompt.ts). It assembles a full prompt with sections including Tooling, Tool Call Style, Safety guardrails, OpenClaw CLI reference, Skills, Docs, Workspace, Sandbox, Messaging, Reply Tags, Voice, Silent Replies, Heartbeats, Runtime metadata, plus Memory and Reactions when enabled, and optional context files and extra system prompt content. Sections are trimmed for minimal prompt mode used by subagents. The prompt is applied after session creation via applySystemPromptOverrideToSession():

const systemPromptOverride = createSystemPromptOverride(appendPrompt);
applySystemPromptOverrideToSession(session, systemPromptOverride);

Session Management

Session Files

Sessions are JSONL files with tree structure (id/parentId linking). Pi’s SessionManager handles persistence:

const sessionManager = SessionManager.open(params.sessionFile);

OpenClaw wraps this with guardSessionManager() for tool result safety.

Session Caching

session-manager-cache.ts caches SessionManager instances to avoid repeated file parsing:

await prewarmSessionFile(params.sessionFile);
sessionManager = SessionManager.open(params.sessionFile);
trackSessionManagerAccess(params.sessionFile);

History Limiting

limitHistoryTurns() trims conversation history based on channel type (DM vs group).

Compaction

Auto-compaction triggers on context overflow. compactEmbeddedPiSessionDirect() handles manual compaction:

const compactResult = await compactEmbeddedPiSessionDirect({
  sessionId, sessionFile, provider, model, ...
});

Authentication & Model Resolution

Auth Profiles

OpenClaw maintains an auth profile store with multiple API keys per provider:

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

Profiles rotate on failures with cooldown tracking:

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

Model Resolution

import { resolveModel } from "./pi-embedded-runner/model.js";

const { model, error, authStorage, modelRegistry } = resolveModel(
  provider,
  modelId,
  agentDir,
  config,
);

// Uses pi's ModelRegistry and AuthStorage
authStorage.setRuntimeApiKey(model.provider, apiKeyInfo.apiKey);

Failover

FailoverError triggers model fallback when configured:

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

Pi Extensions

OpenClaw loads custom pi extensions for specialized behavior:

Compaction Safeguard

src/agents/pi-extensions/compaction-safeguard.ts adds guardrails to compaction, including adaptive token budgeting plus tool failure and file operation summaries:

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

Context Pruning

src/agents/pi-extensions/context-pruning.ts implements cache-TTL based context pruning:

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

Streaming & Block Replies

Block Chunking

EmbeddedBlockChunker manages streaming text into discrete reply blocks:

const blockChunker = blockChunking ? new EmbeddedBlockChunker(blockChunking) : null;

Thinking/Final Tag Stripping

Streaming output is processed to strip <think>/<thinking> blocks and extract <final> content:

const stripBlockTags = (text: string, state: { thinking: boolean; final: boolean }) => {
  // Strip <think>...</think> content
  // If enforceFinalTag, only return <final>...</final> content
};

Reply Directives

Reply directives like [[media:url]], [[voice]], [[reply:id]] are parsed and extracted:

const { text: cleanedText, mediaUrls, audioAsVoice, replyToId } = consumeReplyDirectives(chunk);

Error Handling

Error Classification

pi-embedded-helpers.ts classifies errors for appropriate handling:

isContextOverflowError(errorText)     // Context too large
isCompactionFailureError(errorText)   // Compaction failed
isAuthAssistantError(lastAssistant)   // Auth failure
isRateLimitAssistantError(...)        // Rate limited
isFailoverAssistantError(...)         // Should failover
classifyFailoverReason(errorText)     // "auth" | "rate_limit" | "quota" | "timeout" | ...

Thinking Level Fallback

If a thinking level is unsupported, it falls back:

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

Sandbox Integration

When sandbox mode is enabled, tools and paths are constrained:

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

if (sandboxRoot) {
  // Use sandboxed read/edit/write tools
  // Exec runs in container
  // Browser uses bridge URL
}

Provider-Specific Handling

Anthropic

Refusal magic string scrubbing
Turn validation for consecutive roles
Claude Code parameter compatibility

Google/Gemini

Turn ordering fixes (applyGoogleTurnOrderingFix)
Tool schema sanitization (sanitizeToolsForGoogle)
Session history sanitization (sanitizeSessionHistory)

OpenAI

apply_patch tool for Codex models
Thinking level downgrade handling

TUI Integration

OpenClaw also has a local TUI mode that uses pi-tui components directly:

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

This provides the interactive terminal experience similar to pi’s native mode.

Key Differences from Pi CLI

Aspect	Pi CLI	OpenClaw Embedded
Invocation	`pi` command / RPC	SDK via `createAgentSession()`
Tools	Default coding tools	Custom OpenClaw tool suite
System prompt	AGENTS.md + prompts	Dynamic per-channel/context
Session storage	`~/.pi/agent/sessions/`	`~/.openclaw/agents/<agentId>/sessions/` (or `$OPENCLAW_STATE_DIR/agents/<agentId>/sessions/`)
Auth	Single credential	Multi-profile with rotation
Extensions	Loaded from disk	Programmatic + disk paths
Event handling	TUI rendering	Callback-based (onBlockReply, etc.)

Future Considerations

Areas for potential rework:

Tool signature alignment: Currently adapting between pi-agent-core and pi-coding-agent signatures
Session manager wrapping: guardSessionManager adds safety but increases complexity
Extension loading: Could use pi’s ResourceLoader more directly
Streaming handler complexity: subscribeEmbeddedPiSession has grown large
Provider quirks: Many provider-specific codepaths that pi could potentially handle

Tests

Pi integration coverage spans these suites:

src/agents/pi-*.test.ts
src/agents/pi-auth-json.test.ts
src/agents/pi-embedded-*.test.ts
src/agents/pi-embedded-helpers*.test.ts
src/agents/pi-embedded-runner*.test.ts
src/agents/pi-embedded-runner/**/*.test.ts
src/agents/pi-embedded-subscribe*.test.ts
src/agents/pi-tools*.test.ts
src/agents/pi-tool-definition-adapter*.test.ts
src/agents/pi-settings.test.ts
src/agents/pi-extensions/**/*.test.ts

Live/opt-in:

src/agents/pi-embedded-runner-extraparams.live.test.ts (enable OPENCLAW_LIVE_TEST=1)

For current run commands, see Pi Development Workflow.

Overview

Built-in tools

Browser

Agent coordination

Skills

Extensions

Automation

Media and devices

​Pi Integration Architecture

​Overview

​Package Dependencies

​File Structure

​Core Integration Flow

​1. Running an Embedded Agent

​2. Session Creation

​3. Event Subscription

​4. Prompting

​Tool Architecture

​Tool Pipeline

​Tool Definition Adapter

​Tool Split Strategy

​System Prompt Construction

​Session Management

​Session Files

​Session Caching

​History Limiting

​Compaction

​Authentication & Model Resolution

​Auth Profiles

​Model Resolution

​Failover

​Pi Extensions

​Compaction Safeguard

​Context Pruning

​Streaming & Block Replies

​Block Chunking

​Thinking/Final Tag Stripping

​Reply Directives

​Error Handling

​Error Classification

​Thinking Level Fallback

​Sandbox Integration

​Provider-Specific Handling

​Anthropic

​Google/Gemini

​OpenAI

​TUI Integration

​Key Differences from Pi CLI

​Future Considerations

​Tests

Pi Integration Architecture

Overview

Package Dependencies

File Structure

Core Integration Flow

1. Running an Embedded Agent

2. Session Creation

3. Event Subscription

4. Prompting

Tool Architecture

Tool Pipeline

Tool Definition Adapter

Tool Split Strategy

System Prompt Construction

Session Management

Session Files

Session Caching

History Limiting

Compaction

Authentication & Model Resolution

Auth Profiles

Model Resolution

Failover

Pi Extensions

Compaction Safeguard

Context Pruning

Streaming & Block Replies

Block Chunking

Thinking/Final Tag Stripping

Reply Directives

Error Handling

Error Classification

Thinking Level Fallback

Sandbox Integration

Provider-Specific Handling

Anthropic

Google/Gemini

OpenAI

TUI Integration

Key Differences from Pi CLI

Future Considerations

Tests