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 piโs 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 OpenClawโs local TUI mode) |
File Structure
src/agents/
โโโ pi-embedded-runner.ts # Re-exports from pi-embedded-runner/
โโโ pi-embedded-runner/
โ โโโ run.ts # Main entry: runEmbeddedPiAgent()
โ โโโ run/
โ โ โโโ attempt.ts # Single attempt logic with session setup
โ โ โโโ params.ts # RunEmbeddedPiAgentParams type
โ โ โโโ payloads.ts # Build response payloads from run results
โ โ โโโ images.ts # Vision model image injection
โ โ โโโ types.ts # EmbeddedRunAttemptResult
โ โโโ abort.ts # Abort error detection
โ โโโ cache-ttl.ts # Cache TTL tracking for context pruning
โ โโโ compact.ts # Manual/auto compaction logic
โ โโโ extensions.ts # Load pi extensions for embedded runs
โ โโโ extra-params.ts # Provider-specific stream params
โ โโโ google.ts # Google/Gemini turn ordering fixes
โ โโโ history.ts # History limiting (DM vs group)
โ โโโ lanes.ts # Session/global command lanes
โ โโโ logger.ts # Subsystem logger
โ โโโ model.ts # Model resolution via ModelRegistry
โ โโโ runs.ts # Active run tracking, abort, queue
โ โโโ sandbox-info.ts # Sandbox info for system prompt
โ โโโ session-manager-cache.ts # SessionManager instance caching
โ โโโ session-manager-init.ts # Session file initialization
โ โโโ system-prompt.ts # System prompt builder
โ โโโ tool-split.ts # Split tools into builtIn vs custom
โ โโโ types.ts # EmbeddedPiAgentMeta, EmbeddedPiRunResult
โ โโโ utils.ts # ThinkLevel mapping, error description
โโโ pi-embedded-subscribe.ts # Session event subscription/dispatch
โโโ pi-embedded-subscribe.types.ts # SubscribeEmbeddedPiSessionParams
โโโ pi-embedded-subscribe.handlers.ts # Event handler factory
โโโ pi-embedded-subscribe.handlers.lifecycle.ts
โโโ pi-embedded-subscribe.handlers.types.ts
โโโ pi-embedded-block-chunker.ts # Streaming block reply chunking
โโโ pi-embedded-messaging.ts # Messaging tool sent tracking
โโโ pi-embedded-helpers.ts # Error classification, turn validation
โโโ pi-embedded-helpers/ # Helper modules
โโโ pi-embedded-utils.ts # Formatting utilities
โโโ pi-tools.ts # createOpenClawCodingTools()
โโโ pi-tools.abort.ts # AbortSignal wrapping for tools
โโโ pi-tools.policy.ts # Tool allowlist/denylist policy
โโโ pi-tools.read.ts # Read tool customizations
โโโ pi-tools.schema.ts # Tool schema normalization
โโโ pi-tools.types.ts # AnyAgentTool type alias
โโโ pi-tool-definition-adapter.ts # AgentTool -> ToolDefinition adapter
โโโ pi-settings.ts # Settings overrides
โโโ pi-extensions/ # Custom pi extensions
โ โโโ compaction-safeguard.ts # Safeguard extension
โ โโโ compaction-safeguard-runtime.ts
โ โโโ context-pruning.ts # Cache-TTL context pruning extension
โ โโโ context-pruning/
โโโ model-auth.ts # Auth profile resolution
โโโ auth-profiles.ts # Profile store, cooldown, failover
โโโ model-selection.ts # Default model resolution
โโโ models-config.ts # models.json generation
โโโ model-catalog.ts # Model catalog cache
โโโ context-window-guard.ts # Context window validation
โโโ failover-error.ts # FailoverError class
โโโ defaults.ts # DEFAULT_PROVIDER, DEFAULT_MODEL
โโโ system-prompt.ts # buildAgentSystemPrompt()
โโโ system-prompt-params.ts # System prompt parameter resolution
โโโ system-prompt-report.ts # Debug report generation
โโโ tool-summaries.ts # Tool description summaries
โโโ tool-policy.ts # Tool policy resolution
โโโ transcript-policy.ts # Transcript validation policy
โโโ skills.ts # Skill snapshot/prompt building
โโโ skills/ # Skill subsystem
โโโ sandbox.ts # Sandbox context resolution
โโโ sandbox/ # Sandbox subsystem
โโโ channel-tools.ts # Channel-specific tool injection
โโโ openclaw-tools.ts # OpenClaw-specific tools
โโโ bash-tools.ts # exec/process tools
โโโ apply-patch.ts # apply_patch tool (OpenAI)
โโโ tools/ # Individual tool implementations
โ โโโ browser-tool.ts
โ โโโ canvas-tool.ts
โ โโโ cron-tool.ts
โ โโโ discord-actions*.ts
โ โโโ gateway-tool.ts
โ โโโ image-tool.ts
โ โโโ message-tool.ts
โ โโโ nodes-tool.ts
โ โโโ session*.ts
โ โโโ slack-actions.ts
โ โโโ telegram-actions.ts
โ โโโ web-*.ts
โ โโโ whatsapp-actions.ts
โโโ ...
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 piโs 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_endturn_start/turn_endagent_start/agent_endauto_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: piโs
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-coreโs AgentTool has a different execute signature than pi-coding-agentโs 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 OpenClawโs 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). Piโs 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_patchtool 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 piโs 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:
guardSessionManageradds safety but increases complexity - Extension loading: Could use piโs
ResourceLoadermore directly - Streaming handler complexity:
subscribeEmbeddedPiSessionhas grown large - Provider quirks: Many provider-specific codepaths that pi could potentially handle
Tests
Pi integration coverage spans these suites:
src/agents/pi-*.test.tssrc/agents/pi-auth-json.test.tssrc/agents/pi-embedded-*.test.tssrc/agents/pi-embedded-helpers*.test.tssrc/agents/pi-embedded-runner*.test.tssrc/agents/pi-embedded-runner/**/*.test.tssrc/agents/pi-embedded-subscribe*.test.tssrc/agents/pi-tools*.test.tssrc/agents/pi-tool-definition-adapter*.test.tssrc/agents/pi-settings.test.tssrc/agents/pi-extensions/**/*.test.ts
Live/opt-in:
src/agents/pi-embedded-runner-extraparams.live.test.ts(enableOPENCLAW_LIVE_TEST=1)
For current run commands, see Pi Development Workflow.