forked from Selig/openclaw-skill
Initial commit: OpenClaw Skill Collection
6 custom skills (assign-task, dispatch-webhook, daily-briefing, task-capture, qmd-brain, tts-voice) with technical documentation. Compatible with Claude Code, OpenClaw, Codex CLI, and OpenCode.
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openclaw-knowhow-skill/docs/reference/concepts/messages.md
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openclaw-knowhow-skill/docs/reference/concepts/messages.md
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# Messages
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This page ties together how OpenClaw handles inbound messages, sessions, queueing, streaming, and reasoning visibility.
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## Message flow (high level)
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```
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Inbound message
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-> routing/bindings -> session key
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-> queue (if a run is active)
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-> agent run (streaming + tools)
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-> outbound replies (channel limits + chunking)
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```
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Key knobs live in configuration:
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- `messages.*` for prefixes, queueing, and group behavior.
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- `agents.defaults.*` for block streaming and chunking defaults.
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- Channel overrides (`channels.whatsapp.*`, `channels.telegram.*`, etc.) for caps and streaming toggles.
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See [Configuration](/gateway/configuration) for full schema.
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## Inbound dedupe
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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
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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.
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Config (global default + per-channel overrides):
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```json5
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{
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messages: {
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inbound: {
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debounceMs: 2000,
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byChannel: {
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whatsapp: 5000,
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slack: 1500,
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discord: 1500,
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},
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},
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},
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}
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```
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Notes:
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- Debounce applies to **text-only** messages; media/attachments flush immediately.
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- Control commands bypass debouncing so they remain standalone.
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## Sessions and devices
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Sessions are owned by the gateway, not by clients.
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- Direct chats collapse into the agent main session key.
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- Groups/channels get their own session keys.
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- The session store and transcripts live on the gateway host.
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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.
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Details: [Session management](/concepts/session).
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## Inbound bodies and history context
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OpenClaw separates the **prompt body** from the **command body**:
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- `Body`: prompt text sent to the agent. This may include channel envelopes and optional history wrappers.
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- `CommandBody`: raw user text for directive/command parsing.
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- `RawBody`: legacy alias for `CommandBody` (kept for compatibility).
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When a channel supplies history, it uses a shared wrapper:
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- `[Chat messages since your last reply - for context]`
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- `[Current message - respond to this]`
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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.
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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.
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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. 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
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If a run is already active, inbound messages can be queued, steered into the current run, or collected for a followup turn.
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- Configure via `messages.queue` (and `messages.queue.byChannel`).
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- Modes: `interrupt`, `steer`, `followup`, `collect`, plus backlog variants.
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Details: [Queueing](/concepts/queue).
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## Streaming, chunking, and batching
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Block streaming sends partial replies as the model produces text blocks. Chunking respects channel text limits and avoids splitting fenced code.
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Key settings:
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- `agents.defaults.blockStreamingDefault` (`on|off`, default off)
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- `agents.defaults.blockStreamingBreak` (`text_end|message_end`)
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- `agents.defaults.blockStreamingChunk` (`minChars|maxChars|breakPreference`)
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- `agents.defaults.blockStreamingCoalesce` (idle-based batching)
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- `agents.defaults.humanDelay` (human-like pause between block replies)
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- Channel overrides: `*.blockStreaming` and `*.blockStreamingCoalesce` (non-Telegram channels require explicit `*.blockStreaming: true`)
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Details: [Streaming + chunking](/concepts/streaming).
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## Reasoning visibility and tokens
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OpenClaw can expose or hide model reasoning:
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- `/reasoning on|off|stream` controls visibility.
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- Reasoning content still counts toward token usage when produced by the model.
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- Telegram supports reasoning stream into the draft bubble.
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Details: [Thinking + reasoning directives](/tools/thinking) and [Token use](/token-use).
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## Prefixes, threading, and replies
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Outbound message formatting is centralized in `messages`:
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- `messages.responsePrefix`, `channels.<channel>.responsePrefix`, and `channels.<channel>.accounts.<id>.responsePrefix` (outbound prefix cascade), plus `channels.whatsapp.messagePrefix` (WhatsApp inbound prefix)
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- Reply threading via `replyToMode` and per-channel defaults
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Details: [Configuration](/gateway/configuration#messages) and channel docs.
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