Gateway
Configuration — agent heartbeat, compaction, and streaming
agents.defaults.* keys that govern when an agent runs on its own, how its transcript is compacted and pruned, and how partial output reaches a chat.
agents.defaults.heartbeat
Periodic heartbeat runs.
{ agents: { defaults: { heartbeat: { agentId: "ops", // ambient owner when no per-agent heartbeat is configured every: "30m", // 0m disables recurring cadence activeHours: { start: "08:00", end: "24:00" }, model: "openai/gpt-5.4-mini", session: "main", target: "owner", // default | options: last | none | whatsapp | telegram | discord | ... directPolicy: "allow", // allow (default) | block to: "+15555550123", accountId: "ops-bot", prompt: "Follow the heartbeat monitor scratch context...", timeoutSeconds: 45, lightContext: false, // default: false; true skips workspace bootstrap files for heartbeat runs isolatedSession: false, // default: false; true runs each heartbeat in a fresh session (no conversation history) }, }, },}every: duration string (ms/s/m/h). Default:30m(API-key auth) or1h(OAuth auth). Set to0mto disable recurring cadence. Targeted event-driven wakes, including background exec completion follow-ups, can still run one agent turn.agentId: explicit owner for ambient heartbeat runs when noagents.entries.*.heartbeatblock exists. A shared heartbeat block withoutagentIdkeeps the existing all-agent enrollment behavior.- Cadence is written into a system-owned cron monitor row. Run
openclaw doctor --fixto materialize a missing or stale row. If cron is disabled, scheduled heartbeats do not run and the gateway logs a startup warning. - The heartbeat object is strict. Its supported fields are
agentId,every,activeHours,model,session,target,directPolicy,to,accountId,prompt,timeoutSeconds,lightContext, andisolatedSession. timeoutSeconds: maximum time in seconds allowed for a heartbeat agent turn before it is aborted. Leave unset to useagents.defaults.timeoutSecondswhen set, otherwise the heartbeat cadence capped at 600 seconds.directPolicy: direct/DM delivery policy.allow(default) permits direct-target delivery.blocksuppresses direct-target delivery and emitsreason=dm-blocked.target:owner(default) sends only to a direct-message identity fromcommands.ownerAllowFromor channelallowFrom.lastexplicitly follows the latest conversation, including groups.nonekeeps results internal.to: used only with an explicit channel target.ownerand an unset target ignore it.lightContext: when true, heartbeat runs use lightweight bootstrap context and skip workspace bootstrap files. Monitor scratch is injected by the heartbeat runner either way.isolatedSession: when true, each heartbeat runs in a fresh session with no prior conversation history. Same isolation pattern as cronsessionTarget: "isolated". Reduces per-heartbeat token cost from ~100K to ~2-5K tokens.- Busy deferral is automatic: scheduled heartbeats wait for main/cron activity, same-agent active runs, and target-session work. Immediate and manual wakes bypass only the broad same-agent active-run precheck.
- Heartbeat runs use the ordinary agent system prompt. Acknowledgment suppression uses a fixed 300-character remainder budget, reasoning payloads remain internal, and tool error warnings remain enabled.
- Per-agent: set
agents.entries.*.heartbeat. When any agent definesheartbeat, only those agents run heartbeats. - Heartbeats run full agent turns — shorter intervals burn more tokens.
agents.defaults.systemAgent
Selects the agent whose model and credentials own ambient OpenClaw system work: system-agent and Custodian consults, and the fallback owner whenever an ambient path omits agentId. That includes models.list, models.authStatus, skills.status, and doctor.memory.status, the default agent directory and workspace behind auth, model-catalog, and doctor resolution, outbound channel bootstrap and queued-delivery recovery, unscoped main-session routing, Talk relay ownership, and first-run onboarding:
{ agents: { defaults: { systemAgent: { agentId: "ops" }, }, },}An explicit request agentId always wins, followed by systemAgent.agentId, a retained legacy default owner, and finally the sole configured agent. Delegated consults with a requesting agent keep that requester as their owner. The four reads above opt in individually; other agent-scoped Gateway methods, such as tools.*, commands.*, chat history, and session-catalog reads, do not use this setting as a general default. Surfaces that pick one agent's view also keep requiring an explicit choice, because silently adopting this owner would hide the other agents: openclaw sessions (add --agent <id> or --all-agents), openclaw hooks status, openclaw models, stored session lookup by id, and TUI startup. Ambient work in an ownerless multi-agent fleet fails with an actionable error, except queued-delivery recovery, which records the failing delivery and keeps draining the rest of the queue. Upgrade-only ownership lives at agents.defaults.authInheritance.agentId for inherited credentials and agents.defaults.sessionStore.agentId for retired main session rows or unscoped rows in a fixed session.store.
agents.defaults.compaction
{ agents: { defaults: { compaction: { enabled: false, // disable embedded proactive auto-compaction (default: true) mode: "safeguard", // default | safeguard provider: "my-provider", // id of a registered compaction provider plugin (optional) thinkingLevel: "low", // optional override; omit for the provider default timeoutSeconds: 180, keepRecentTokens: 50000, recentTurnsPreserve: 3, identifierPolicy: "strict", // strict | off qualityGuard: { enabled: true, maxRetries: 1 }, midTurnPrecheck: { enabled: false }, // optional tool-loop pressure check postIndexSync: "async", // off | async | await postCompactionSections: ["Session Startup", "Red Lines"], model: "openrouter/anthropic/claude-sonnet-4-6", // optional compaction-only model override maxActiveTranscriptBytes: "20mb", // opt in to preflight local compaction notifyUser: true, // notices when compaction starts/completes and on memory-flush degradation (default: false) memoryFlush: { enabled: true, model: "ollama/qwen3:8b", // optional memory-flush-only model override softThresholdTokens: 6000, forceFlushTranscriptBytes: "2mb", }, }, }, },}enabled: whenfalse, disables threshold-driven auto-compaction inside the embedded agent runtime. OpenClaw's preflight and overflow-recovery compaction paths and manual/compactremain available. Default:true.mode:defaultorsafeguard(chunked summarization for long histories). See Compaction.provider: id of a registered compaction provider plugin. When set, the provider'ssummarize()is called instead of built-in LLM summarization. Falls back to built-in on failure. Setting a provider forcesmode: "safeguard". See Compaction.thinkingLevel: thinking level used only for embedded OpenClaw compaction summaries (off,minimal,low,medium,high,xhigh,adaptive,max,ultra, orinherit). When omitted, the provider can supply a compaction preference; otherwise it defaults tolow. Native local Ollama prefersoffso summarization does not spend its request budget on thinking. Setinheritto reuse the session's current thinking level, or choose an explicit level to override the provider default. The selected level is clamped to the compaction model/runtime. Native Codex app-server compaction ignores this setting because the native compact request has no per-operation thinking override; OpenClaw logs a warning when configured.timeoutSeconds: safety window for each model request in built-in compaction. Multi-stage compaction refreshes the window when its next serial model request starts, so a complete compaction can exceed this value while an unresponsive request is still aborted. Plugin-owned compaction receives one window for the complete operation. Default:180.keepRecentTokens: agent cut-point budget for keeping the most recent transcript tail verbatim. Default:20000.recentTurnsPreserve: number of most recent user/assistant turns kept verbatim outside safeguard summarization. Default:3.identifierPolicy:strict(default) oroff.strictprepends built-in opaque identifier retention guidance during compaction summarization.qualityGuard: bounded validation for built-in safeguard summaries. Enabled by default in safeguard mode. After final budgeting, required headings must remain in the retained generated body, while pending asks and exact identifiers must remain in the exact artifact to be stored. When no attempt passes, OpenClaw preserves the original history and returns a compaction failure instead of storing known-invalid context. Setenabled: falseto skip the audit. Configured compaction-provider output keeps its existing provider-owned validation behavior.midTurnPrecheck: optional tool-loop pressure check. Whenenabled: true, OpenClaw checks context pressure after tool results are appended and before the next model call. If the context no longer fits, it aborts the current attempt before submitting the prompt and reuses the existing precheck recovery path to truncate tool results or compact and retry. Works with bothdefaultandsafeguardcompaction modes. Default: disabled.postIndexSync: post-compaction session-memory reindex mode. Default:"async". Use"await"for strongest freshness,"async"for lower compaction latency, or"off"only when session-memory sync is handled elsewhere.postCompactionSections: optional AGENTS.md H2/H3 section names to re-inject after compaction. Leave unset or use[]to disable.model: optionalprovider/model-idor bare alias fromagents.defaults.modelsfor compaction summarization only. Bare aliases resolve before dispatch; configured literal model IDs retain precedence on collisions. Use this when the main session should keep one model but compaction summaries should run on another; when unset, compaction uses the session's primary model.maxActiveTranscriptBytes: byte threshold (numberor strings like"20mb") that opts in to normal local compaction before a run when the transcript window the model sees (everything since the latest compaction or reset, plus its kept tail) reaches the threshold. For Codex app-server sessions, the same threshold caps native rollout transcripts and oversized native threads restart fresh. Disabled when unset or0. When a context engine returns an explicit compacted successor identity, OpenClaw adopts it; the built-in SQLite compactor keeps the current identity.notifyUser: whentrue, sends brief context-maintenance notices to the user: when compaction starts and completes (for example, "Compacting context..." and "Compaction complete"), and when a pre-compaction memory flush is exhausted so the reply continues in a degraded state (for example, "Memory maintenance temporarily failed; continuing your reply."). Disabled by default to keep these notices silent.memoryFlush: silent agentic turn before auto-compaction to store durable memories. Setmodelto an exact provider/model such asollama/qwen3:8bwhen this housekeeping turn should stay on a local model; the override does not inherit the active session fallback chain.forceFlushTranscriptBytesforces the flush when the model-visible transcript window reaches the threshold even if token counters are stale; after compaction, that window includes the retained tail and subsequent turns rather than discarded history. Skipped when workspace is read-only.
Custom compaction instructions are code-owned. Implement a compaction provider
plugin with summarize() for custom summary construction, and use
before_prompt_build when post-compaction context must be injected into later
model prompts. Doctor strips the retired instruction fields and points to these
seams.
agents.defaults.contextPruning
Prunes old tool results from in-memory context before sending to the LLM. Does not modify session history on disk. Disabled by default; set mode: "cache-ttl" to enable.
{ agents: { defaults: { contextPruning: { mode: "cache-ttl", // off (default) | cache-ttl }, }, },}cache-ttl mode behavior
mode: "cache-ttl"enables pruning passes.- Pruning soft-trims oversized tool results first, then hard-clears older tool results if needed.
Soft-trim keeps beginning + end and inserts ... in the middle.
Hard-clear replaces the entire tool result with the placeholder.
Notes:
- Image blocks are never trimmed/cleared.
- Ratios are character-based (approximate), not exact token counts.
- The most recent assistant messages are preserved.
See Session Pruning for behavior details.
Block streaming
{ agents: { defaults: { blockStreamingDefault: "off", // on | off blockStreamingBreak: "text_end", // text_end | message_end blockStreamingChunk: { minChars: 800, maxChars: 1200, breakPreference: "paragraph" }, blockStreamingCoalesce: { idleMs: 1000 }, humanDelay: { mode: "natural" }, // off (default) | natural | custom (use minMs/maxMs) }, },}- Non-Telegram channels require explicit
*.streaming.block.enabled: trueto enable block replies. QQ Bot is the exception: it has nostreaming.blockkeys and streams block replies unlesschannels.qqbot.streaming.modeis"off". - Channel overrides:
channels.<channel>.streaming.block.coalesce(and per-account variants). Discord, Google Chat, Mattermost, MS Teams, Signal, and Slack defaultminChars: 1500/idleMs: 1000. blockStreamingChunk.breakPreference: preferred chunk boundary ("paragraph" | "newline" | "sentence").humanDelay: randomized pause between block replies. Default:off.natural= 800-2500ms.customusesminMs/maxMs(falls back to the natural range for any unset bound). Per-agent override:agents.entries.*.humanDelay.
See Streaming for behavior + chunking details.
Typing indicators
{ agents: { defaults: { typingMode: "instant", // never | instant | thinking | message typingIntervalSeconds: 6, }, },}- Defaults:
instantfor direct chats/mentions,messagefor unmentioned group chats. typingIntervalSecondsdefault:6.- Per-agent override:
agents.entries.*.typingMode.
See Typing Indicators.