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Documentation Index

Fetch the complete documentation index at: https://docs2.openclaw.ai/llms.txt

Use this file to discover all available pages before exploring further.

OpenClaw handles inbound messages through a pipeline of session resolution, queueing, streaming, tool execution, and reasoning visibility. This page maps the path from inbound message to reply.

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Message flow (high level)

Inbound message
  -> routing/bindings -> session key
  -> queue (if a run is active)
  -> agent run (streaming + tools)
  -> outbound replies (channel limits + chunking)
Key knobs live in configuration:
  • messages.* for prefixes, queueing, and group behavior.
  • agents.defaults.* for block streaming and chunking defaults.
  • Channel overrides (channels.whatsapp.*, channels.telegram.*, etc.) for caps and streaming toggles.
See Configuration for full schema.

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Inbound dedupe

Channels can redeliver the same message after reconnects. OpenClaw keeps a short-lived cache keyed by channel/account/peer/session/message id so duplicate deliveries do not trigger another agent run.

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Inbound debouncing

Rapid consecutive messages from the same sender can be batched into a single agent turn via messages.inbound. Debouncing is scoped per channel + conversation and uses the most recent message for reply threading/IDs. Config (global default + per-channel overrides): 
{
  messages: {
    inbound: {
      debounceMs: 2000,
      byChannel: {
        whatsapp: 5000,
        slack: 1500,
        discord: 1500,
      },
    },
  },
}
Notes:
  • Debounce applies to text-only messages; media/attachments flush immediately.
  • Control commands bypass debouncing so they remain standalone. Channels that explicitly opt in to same-sender DM coalescing can keep DM commands inside the debounce window so a split-send payload can join the same agent turn.

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Sessions and devices

Sessions are owned by the gateway, not by clients.
  • Direct chats collapse into the agent main session key.
  • Groups/channels get their own session keys.
  • The session store and transcripts live on the gateway host.
Multiple devices/channels can map to the same session, but history is not fully synced back to every client. Recommendation: use one primary device for long conversations to avoid divergent context. The Control UI and TUI always show the gateway-backed session transcript, so they are the source of truth. Details: Session management.

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Tool result metadata

Tool result content is the model-visible result. Tool result details is runtime metadata for UI rendering, diagnostics, media delivery, and plugins. OpenClaw keeps that boundary explicit:
  • toolResult.details is stripped before provider replay and compaction input.
  • Persisted session transcripts keep only bounded details; oversized metadata is replaced with a compact summary marked persistedDetailsTruncated: true.
  • Plugins and tools should put text the model must read in content, not only in details.

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Inbound bodies and history context

OpenClaw separates the prompt body from the command body:
  • BodyForAgent: primary model-facing text for the current message. Channel plugins should keep this focused on the sender’s current prompt-bearing text.
  • Body: legacy prompt fallback. This may include channel envelopes and optional history wrappers, but current channels should not rely on it as the primary model input when BodyForAgent is available.
  • CommandBody: raw user text for directive/command parsing.
  • RawBody: legacy alias for CommandBody (kept for compatibility).
When a channel supplies history, it uses a shared wrapper:
  • [Chat messages since your last reply - for context]
  • [Current message - respond to this]
For non-direct chats (groups/channels/rooms), the current message body is prefixed with the sender label (same style used for history entries). This keeps real-time and queued/history messages consistent in the agent prompt. History buffers are pending-only: they include group messages that did not trigger a run (for example, mention-gated messages) and exclude messages already in the session transcript. Directive stripping only applies to the current message section so history remains intact. Channels that wrap history should set CommandBody (or RawBody) to the original message text and keep Body as the combined prompt. Structured history, reply, forwarded, and channel metadata are rendered as user-role untrusted context blocks during prompt assembly. History buffers are configurable via messages.groupChat.historyLimit (global default) and per-channel overrides like channels.slack.historyLimit or channels.telegram.accounts.<id>.historyLimit (set 0 to disable).

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Queueing and followups

If a run is already active, inbound messages are steered into the current run by default. messages.queue selects whether active-run messages steer, queue for later, collect into one later turn, or interrupt the active run.
  • Configure via messages.queue (and messages.queue.byChannel).
  • Default mode is steer, with a 500ms debounce for Codex steering batches and followup/collect queues.
  • Modes: steer, followup, collect, and interrupt.
Details: Command queue and Steering queue.

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Channel run ownership

Channel plugins may preserve ordering, debounce input, and apply transport backpressure before a message enters the session queue. They should not impose a separate timeout around the agent turn itself. Once a message is routed to a session, long-running work is governed by the session, tool, and runtime lifecycle so all channels report and recover from slow turns consistently.

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Streaming, chunking, and batching

Block streaming sends partial replies as the model produces text blocks. Chunking respects channel text limits and avoids splitting fenced code. Key settings:
  • agents.defaults.blockStreamingDefault (on|off, default off)
  • agents.defaults.blockStreamingBreak (text_end|message_end)
  • agents.defaults.blockStreamingChunk (minChars|maxChars|breakPreference)
  • agents.defaults.blockStreamingCoalesce (idle-based batching)
  • agents.defaults.humanDelay (human-like pause between block replies)
  • Channel overrides: *.blockStreaming and *.blockStreamingCoalesce (non-Telegram channels require explicit *.blockStreaming: true)
Details: Streaming + chunking.

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Reasoning visibility and tokens

OpenClaw can expose or hide model reasoning:
  • /reasoning on|off|stream controls visibility.
  • Reasoning content still counts toward token usage when produced by the model.
  • Telegram supports reasoning stream into a transient draft bubble that is deleted after final delivery; use /reasoning on for persistent reasoning output.
Details: Thinking + reasoning directives and Token use.

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Prefixes, threading, and replies

Outbound message formatting is centralized in messages:
  • messages.responsePrefix, channels.<channel>.responsePrefix, and channels.<channel>.accounts.<id>.responsePrefix (outbound prefix cascade), plus channels.whatsapp.messagePrefix (WhatsApp inbound prefix)
  • Reply threading via replyToMode and per-channel defaults
Details: Configuration and channel docs.

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Silent replies

The exact silent token NO_REPLY / no_reply means “do not deliver a user-visible reply”. When a turn also has pending tool media, such as generated TTS audio, OpenClaw strips the silent text but still delivers the media attachment. OpenClaw resolves that behavior by conversation type:
  • Direct conversations never receive NO_REPLY prompt guidance. If a direct run accidentally returns a bare silent token, OpenClaw suppresses it instead of rewriting or delivering it.
  • Groups/channels allow silence by default only for automatic group replies. In message_tool visible-reply mode, silence means the model does not call message(action=send).
  • Internal orchestration allows silence by default.
OpenClaw also uses silent replies for internal runner failures that happen before any assistant reply in non-direct chats, so groups/channels do not see gateway error boilerplate. Direct chats show compact failure copy by default; raw runner details are shown only when /verbose full is enabled. Defaults live under agents.defaults.silentReply; surfaces.<id>.silentReply can override group/internal policy per surface. Bare silent replies are dropped on all surfaces, so parent sessions stay quiet instead of rewriting sentinel text into fallback chatter.