#how to set piled up messages to be part of ONE user segment
1 messages · Page 1 of 1 (latest)
Yes, mostly via two knobs, not one:
{
messages: {
inbound: {
debounceMs: 2000,
byChannel: {
discord: 1500
}
},
queue: {
mode: "collect",
debounceMs: 1000,
byChannel: {
discord: "collect"
}
}
}
}
What this does:
messages.inbound.*combines rapid same-sender text messages into one user turn before the run starts.messages.queue.mode: "collect"combines messages that arrive during an active run into one followup user turn.
For strict user/assistant alternation, OpenClaw also already does transcript hygiene for providers that need it, merging consecutive user turns in-memory before replay. That is not a separate config flag, and it does not rewrite the stored transcript.
Docs:
So, short version: there is no single maxUserTurns: 1 setting right now, but inbound debounce + queue collect is the intended setup.
what info you need from me to tune those fine values there?
Minimal set I’d want:
openclaw --version- Your current
messages { ... }config block - Which channel(s), Discord only or others too
- One real timing example, like:
t+0ms: first msgt+400ms: second msgt+1200ms: third msg
- Does the pile-up happen:
- before the assistant starts replying,
- while it is already replying,
- or both
- How much delay is acceptable before the bot starts responding, for example 1s, 2s, 5s
- Text only, or attachments/commands too, since attachments flush immediately
Optional but super helpful:
- a short transcript snippet showing the bad alternation you want to avoid
If you want the fastest path, just paste 1, 2, 4, and 5. That’s usually enough for me to suggest exact debounce values.
As a rough Discord starting point, I’d usually try:
messages.inbound.debounceMs: 1500-2500messages.queue.mode: "collect"messages.queue.debounceMs: 800-1500
If you paste your current block, I can tune it pretty tightly.
what about if lets say the agent messed up. and now there are over the span of 10 minutes, 5 diff messages from the user.
That’s the important edge case.
If those 5 messages are spread across 10 minutes, plain inbound debounce will not merge them. Debounce is for short bursts, seconds, not minutes.
What happens depends on the failure mode:
-
The original run is still active/stuck
messages.queue.mode: "collect"helps here.- New user messages get buffered and turned into one followup user turn when the run unwinds.
-
The run already ended/failed, and the user sent 5 new messages as separate turns
- Those are already separate transcript entries.
- OpenClaw can still do replay-time turn repair for providers that require strict alternation, merging consecutive user turns in-memory.
- But it does not rewrite the stored transcript into one user turn.
So if your requirement is literally:
“No matter how much time passed, if there has been no assistant turn yet, collapse all consecutive user messages into one user turn”
that is not a config-only guarantee today. That would need a code/path change, not just debounce tuning.
So the key question is:
- do you want to optimize short burst coalescing, or
- do you want a hard transcript invariant for replay/history?
If it’s the second one, say that plainly, because that’s a different solution.
yeah its the second failure movde. yes.
Yep, then this is not a debounce tuning problem. It’s a replay/transcript normalization problem.
What you want is:
before the next model call, collapse any consecutive
userturns into oneuserturn, even if they were sent minutes apart and are already stored separately.
On current OpenClaw, there is no user-facing config knob for that hard invariant.
The clean fix is at replay time:
src/agents/pi-embedded-runner/replay-history.tsvalidateReplayTurns(...)
src/agents/pi-embedded-helpers/turns.tsmergeConsecutiveUserTurns(...)validateTurnsWithConsecutiveMerge(...)
So the idea is, apply the consecutive-user merge universally before provider replay, not only when a stricter provider path asks for it.
That gives you:
- stored transcript stays untouched
- replay sent to the model has proper user/assistant alternation
- even 5 user messages over 10 minutes can become one replay user turn
If you want the stored session file itself rewritten too, that’s a different and riskier feature.
Reference:
If you want this upstream, that’s GitHub-issue territory:
If you want, I can help you phrase the exact feature request or sketch the patch shape.
can i cmake it change its discord status?
Yep.
You can do it in 3 ways:
1. Static status/activity
{
channels: {
discord: {
status: "idle", // online | idle | dnd | invisible
activity: "Focus time",
activityType: 4 // 4 = custom status
}
}
}
2. Auto status from runtime health
{
channels: {
discord: {
autoPresence: {
enabled: true,
healthyText: "ready",
degradedText: "thinking",
exhaustedText: "quota exhausted"
}
}
}
}
3. Let the agent change it live
If you want the bot/agent to update presence dynamically through actions, also enable:
{
channels: {
discord: {
actions: {
presence: true
}
}
}
}
A couple of gotchas:
- Discord presence action is disabled by default
- Presence intent is not required just to set the bot’s own status
- restart the gateway after config changes
Docs:
If you want, I can give you the exact JSON for either:
- a clean custom status, or
- an auto “online / idle / dnd” setup.
"Agent couldn't generate a response. Please try again"
and it says
warn agent/embedded {"subsystem":"agent/embedded"} incomplete turn detected: runId=d01c64f0-2fd5-45dc-ad3b-84da87949adf sessionId=be4ccee7-d5c9-4768-9d62-33770b190346 stopReason=stop payloads=0 — surfacing error to user
how to diagnose further
That log is useful.
stopReason=stop payloads=0 means the run ended cleanly, but OpenClaw got no user-visible output from it, so it surfaced the generic error.
So this is usually not a Discord transport problem. It’s more like:
- model returned an empty completion
- model produced only non-visible/internal content
- tool flow finished weirdly and never produced final visible text
- local/OpenAI-compatible backend accepted the request but choked on real agent payload shape
What I’d collect first
openclaw --version
openclaw status
openclaw gateway status
openclaw doctor
openclaw channels status --probe
openclaw logs --follow --json
Then reproduce once, and grab the log lines around:
runId=d01c64f0-2fd5-45dc-ad3b-84da87949adfsessionId=be4ccee7-d5c9-4768-9d62-33770b190346
What to look for in the nearby logs
Especially any earlier line like:
empty response detectedreasoning-only assistant turn detected
- tool call / tool result errors
- provider/backend errors
- prompt compaction warnings
Very useful extra data
Tell me:
- which provider/model you were using
- cloud or local backend
- whether it only happens on one model
- whether tools were involved right before the failure
If it is a local or OpenAI-compatible backend
Run a direct model test too:
openclaw infer model run --model <provider/model> --prompt "say hi" --json
If that works, but normal agent turns still fail, the usual suspects are:
- structured content incompatibility
- tool schema incompatibility
- backend/model falling over on larger real prompts
Docs:
If you paste:
openclaw --version- 20 to 50 log lines around that runId
- provider/model
I can usually narrow it down pretty fast.
is it a known issue that agents leak stuff like CRITICAL INSTRUCTION in their responses?
Short version, not normal, but yes, it can happen.
If you mean literal text like CRITICAL: or similar control-ish wording showing up in the final reply, that lines up with a real class of leakage:
- weaker/self-hosted models echoing internal control text
- blocked tool / loop-detection warnings getting parroted back
- system/policy text being copied into visible output
OpenClaw does strip a bunch of structured leakage (<think>, <tool_call>, NO_REPLY, etc.), but plain English control text is much harder to sanitize perfectly.
Also, there are internal runtime messages in the code that literally use CRITICAL: for loop/tool-call guardrails, so if you’re seeing that family specifically, I’d treat it as a bug / quality issue, not intended behavior.
A few practical notes:
- happens more often on older, smaller, or self-hosted models
- if it is reproducible, it is worth filing:
https://github.com/openclaw/openclaw/issues - redact anything sensitive before posting screenshots/logs
Useful docs:
If you paste a redacted example plus:
openclaw --version- provider/model
- whether a tool call got blocked right before it
…I can usually tell pretty quickly whether it’s prompt leakage, tool-loop guard text, or a provider/model quirk.
what does this mean
Provider finish_reason: content_filter
It usually means the upstream model/provider blocked the completion with its safety or moderation filter.
So in plain English:
- the request reached the provider
- the provider decided the output should not be returned
- OpenClaw got back
finish_reason: content_filter
A couple of nuances:
- Most of the time it is an actual safety/policy filter
- Sometimes OpenAI-compatible backends misuse that same signal for other problems, like a prompt being too large or malformed
What to do next:
- check nearby logs with
openclaw logs --follow - look for any fuller provider error around the same run
- try a smaller / simpler prompt
- if it only happens on one backend or one model, suspect that provider/model first
So, short version: provider-side block, not a Discord issue.
If you paste the few log lines around it, I can help tell whether it looks like:
- real moderation,
- false positive,
- or “content_filter” being used as a fake label for another backend problem.
how can i make my main agent work in the heartbeat tasks?
what configs can i set for compaction?
Yep. Main ones live under agents.defaults.compaction.
Compaction config keys
{
agents: {
defaults: {
compaction: {
mode: "safeguard", // default | safeguard
reserveTokens: 16384,
keepRecentTokens: 20000,
reserveTokensFloor: 20000, // 0 disables the floor
maxHistoryShare: 0.5, // 0.1 .. 0.9
recentTurnsPreserve: 3,
provider: "my-provider", // optional compaction plugin
model: "openrouter/anthropic/claude-sonnet-4-6",
timeoutSeconds: 900,
identifierPolicy: "strict", // strict | off | custom
identifierInstructions: "Preserve ticket IDs exactly.",
qualityGuard: {
enabled: true,
maxRetries: 1
},
postIndexSync: "async", // off | async | await
postCompactionSections: ["Session Startup", "Red Lines"],
truncateAfterCompaction: false,
notifyUser: false,
memoryFlush: {
enabled: true,
softThresholdTokens: 4000,
forceFlushTranscriptBytes: "2mb",
prompt: "Write lasting notes to memory; reply NO_REPLY if none.",
systemPrompt: "Session nearing compaction. Store durable memories now."
}
},
contextLimits: {
postCompactionMaxChars: 1800
}
}
}
}
What each group does
-
When to compact / how much to keep
reserveTokenskeepRecentTokensreserveTokensFloormaxHistorySharerecentTurnsPreserve
-
How compaction runs
modeprovider
-
modeltimeoutSeconds
-
Summary quality / safety
identifierPolicyidentifierInstructionsqualityGuard.*
-
After compaction
postIndexSyncpostCompactionSectionstruncateAfterCompactionnotifyUsercontextLimits.postCompactionMaxChars
-
Before compaction
memoryFlush.*
Docs:
- https://docs.openclaw.ai/gateway/configuration-reference#agentsdefaultscompaction
- https://docs.openclaw.ai/reference/session-management-compaction
If you want, I can give you:
- a safe default preset,
- an aggressive compact-more preset, or
- a preserve-more-recent-context preset.
please ask me questions to refine stuff here and find the right configs
Yep, let’s tune it properly. Paste answers to these in one shot and I’ll turn them into an exact config block.
First, the must-haves
openclaw --version- Your current:
agents.defaults.compactionagents.defaults.contextLimits
- Main provider/model you use for normal chat
- If different, the provider/model you want for compaction only
What problem are you actually seeing?
- Which of these is the pain point?
- compacts too early
- compacts too often
- compaction is too slow
- summaries are bad / lose details
- loses IDs / URLs / host:port / ticket numbers
- agent feels confused after compaction
- transcript files get too big
- memory flush is noisy / useless / missing
- Roughly how long do your sessions get before trouble starts?
- short, medium, very long
- or “after X messages / X tool calls / X hours”
What do you value most?
- Rank these:
- preserve recent exact context
- preserve deep history
- minimize token cost
- minimize latency
- preserve identifiers exactly
- keep disk usage low
Your workload shape
-
Are your sessions mostly:
- normal chat
- coding / file work
- lots of tool calls
- huge tool outputs / logs
- web/browser heavy
- long docs pasted in
-
Do you use local/self-hosted models, cloud models, or both?
-
Have you seen any of these after compaction?
- “forgot what I was doing”
- wrong ticket/ID/url
- loses recent user turns
- weird retries / overflow loops
- incomplete turns
Preference questions
- Do you want compaction to be:
- silent
- or visibly announce start/finish
- Do you want old summarized transcript entries physically removed after compaction?
- yes
- no
- not sure
- Do you want the pre-compaction memory flush enabled?
- yes
- no
- only if sessions are huge
- If memory flush stays on, do you want it to write:
- only durable facts
- task progress too
- both
Easy copy/paste template
Version:
Current compaction config:
Current contextLimits:
Main model:
Compaction-only model:
Main pain point:
Session length before trouble:
Priorities (top 3):
Workload shape:
Local/cloud:
Post-compaction failures seen:
Notify user on compaction: yes/no
Truncate after compaction: yes/no
Memory flush: yes/no/conditional
Memory flush should store:
Once you paste that, I’ll give you a tuned JSON5 block, not just generic advice.
Docs:
i feel it compacts too early. i cant have more than 700k context and when that happens want ocmpression to 100kish. idc about latency or token cost i just want importantly deep history conserved. my sessions are very variable but with occasional tool calls . cloud models. havent really seen compaction problems. compaction announcement is best. the other things you are unsure of pls ask me more about im not sure what to say.
Got it, that helps a lot.
Important nuance: there is not a single “compact to exactly 100k” knob.
To get that behavior, we tune the combo of:
reserveTokensreserveTokensFloorkeepRecentTokensmaxHistorySharerecentTurnsPreserve
Given what you said, I’m already leaning toward:
mode: "safeguard"notifyUser: truetruncateAfterCompaction: false- bias toward later compaction and deeper history retention
To nail it down, answer these:
1. Is 700k your real limit, or your preferred limit?
Pick one:
- A) my model actually breaks around
700k - B) my model can go higher, but I want compaction to start around
700k
2. When you say “compress to 100kish”, what do you mean?
Pick one:
- A) after compaction, total retained context should be around
100k - B) recent raw turns should be around
100k, plus summary on top - C) not exact, I just want a big drop after compaction
3. Roughly when is it compacting now?
Even approximate is fine:
~200k~300k
~500k- “I don’t know”
4. Paste these if you can
openclaw --version
openclaw config get agents.defaults.compaction
openclaw config get agents.defaults.contextLimits
5. For “deep history conserved”, which matters most?
Rank these:
- old facts/instructions
- exact URLs / IDs / ports
- exact wording of recent turns
- old tool outputs / logs
6. Two defaults I expect you probably want, confirm yes/no
- keep raw transcript on disk after compaction (
truncateAfterCompaction: false) - keep memory flush enabled before compaction (
memoryFlush.enabled: true)
7. Announcement style
Pick one:
- A) just “compacting…” and “done”
- B) include counts too
- C) very visible / verbose
If you answer just 1, 2, 3, 5, 6, I can probably give you a solid first-pass config immediately.
1 real. 2 i mean i just felt like 100k total retention would be good... would not want more than that. 3 idk :( 4 mode is safeguard and thats it. contextlimits not set. 5 facts > urls/id/ports > recent > old tools. 6 keeping, yes. flush yes. 7 b
Nice, that’s enough for a solid first pass.
My read is:
- you want compaction to happen later
- once it happens, you want roughly ~100k retained history
- you care more about deep facts + identifiers than verbatim recent chat
- you want announcements on start/finish
- you want to keep transcripts on disk
- memory flush should stay on
What I’d set first
{
agents: {
defaults: {
compaction: {
mode: "safeguard",
// start compaction later
reserveTokens: 20000,
reserveTokensFloor: 20000,
// aim for about ~100k retained history if your effective budget is 700k
maxHistoryShare: 0.14,
// keep some recent raw context, but bias toward preserving older facts in summary
keepRecentTokens: 50000,
recentTurnsPreserve: 4,
// preserve IDs / URLs / ports carefully
identifierPolicy: "strict",
// visible notices
notifyUser: true,
// keep disk transcript intact
truncateAfterCompaction: false,
// keep pre-compaction flush
memoryFlush: {
enabled: true,
softThresholdTokens: 8000
}
}
}
}
}
One important extra thing
Because your 700k limit is real, I would also strongly consider setting an effective runtime cap on the model itself:
{
models: {
providers: {
"<provider>": {
models: [
{
id: "<model-id>",
contextTokens: 700000
}
]
}
}
}
}
Why this matters:
- compaction budgets against the model’s effective context budget
- if the model still thinks it has, say, 1M+, then
maxHistoryShare: 0.14won’t land near your desired 100k
So honestly, the best setup for your goal is:
- cap effective runtime context to 700k
- use
maxHistoryShare: 0.14
That’s the closest thing to “compact down to ~100k”.
Why these numbers
-
reserveTokens: 20000
keeps compaction from happening too early, while still leaving some safety headroom -
maxHistoryShare: 0.14
if effective context is700000, then0.14is about98000 -
keepRecentTokens: 50000
keeps enough immediate context, but doesn’t eat the whole retained-history budget -
recentTurnsPreserve: 4
preserves the last few turns exactly, without over-weighting recent chat
memoryFlush.softThresholdTokens: 8000
gives the agent a bit more time to write durable memory before the hard compaction boundary
One caveat
notifyUser: true gives you the start/finish notices, but I do not see a separate config knob just for “include compaction count in the notice text”. Count is more of a /status / verbose-surface thing.
What I would not change yet
contextLimitsqualityGuard- custom identifier instructions
- custom memory-flush prompt
You don’t have evidence those are your problem yet.
If this first pass is still off
- still compacting too early → lower
reserveTokensto16000 - retaining too much after compaction → lower
maxHistoryShareto0.12 - losing too much recent exact context → raise
keepRecentTokensto60000
If you paste your actual provider + model, I can turn that into one exact copy-paste config block with the right models.providers...contextTokens shape.
on another topic thoughts on calls? ive never been able to talk to my agent on call.
what would you recommend: Install Discord plugin?
│ ○ Download from npm (@openclaw/discord)
│ ● Use local plugin path
│ (/home/ubuntu/openclaw/dist-runtime/extensions/discord)
│ ○ Skip for now
I’d pick Use local plugin path here — as long as /home/ubuntu/openclaw/dist-runtime/extensions/discord exists and you’re running OpenClaw from that same checkout/build.
Why:
- It matches your local OpenClaw build/version.
- No npm/package-version mismatch.
- Don’t skip if Discord is the channel you’re configuring.
For the “one user turn” goal, after Discord is installed/enabled, set explicit batching:
{
messages: {
inbound: {
debounceMs: 3000,
byChannel: {
discord: 3000,
},
},
queue: {
mode: "collect",
debounceMs: 1000,
byChannel: {
discord: "collect",
},
},
},
}
messages.inbound merges rapid same-sender text messages before a run starts.
messages.queue.collect coalesces messages that arrive while a run is already active.
please tell me about these plugins Configure plugins (select to set up now, or skip)
│ ◻ Skip for now
│ ◻ @openclaw/amazon-bedrock-provider
│ ◻ @openclaw/github-copilot-provider
│ ◻ @openclaw/google-plugin
│ ◻ @openclaw/huggingface-provider
│ ◻ @openclaw/minimax-provider
│ ◻ @openclaw/moonshot-provider
│ ◻ @openclaw/ollama-provider
│ ◻ @openclaw/xai-plugin
│ ◻ ACPX Runtime (4 fields)
│ ◻ Device Pairing
These are mostly optional provider/runtime plugins. For your “one combined user turn” goal, none of these are the main setting — that’s still messages.inbound + messages.queue.collect.
Quick rundown:
- Skip for now — totally fine. You can configure plugins later.
- amazon-bedrock-provider — use AWS Bedrock models via AWS credentials.
- github-copilot-provider — use GitHub Copilot as a model provider via GitHub/Copilot auth.
- google-plugin — Gemini/Google provider, plus Google-backed media/search capabilities.
- huggingface-provider — Hugging Face inference via HF token.
- minimax-provider — MiniMax provider; also supports some media/search features.
- moonshot-provider — Moonshot/Kimi provider.
- ollama-provider — local/remote Ollama models. Useful if you already run Ollama, but local models can be weaker at tool calling.
- xai-plugin — xAI/Grok provider; also exposes optional xAI search/code/media features.
- ACPX Runtime — for running external coding harnesses like Codex/Claude/Gemini/etc through ACPX. Skip unless you specifically want ACP/Claude Code/Codex-style sessions.
- Device Pairing — enables
/pairsetup codes and device pairing. Useful if you want to connect nodes/devices/control surfaces.
My practical recommendation: select only the provider you actually have credentials for, plus Device Pairing if you plan to pair devices. If you’re unsure, choose Skip for now and finish the core Discord setup first.
if i want to have a custom dockerfile / compose for the sandboxed agent how do i?
For a sandboxed agent, don’t usually use a separate compose file for the sandbox itself. OpenClaw creates sandbox containers on demand. You customize it by:
- Build a custom sandbox image
# Dockerfile.sandbox.custom
FROM openclaw-sandbox:bookworm-slim
USER root
RUN apt-get update && apt-get install -y --no-install-recommends \
nodejs npm build-essential \
&& rm -rf /var/lib/apt/lists/*
USER sandbox
docker build -f Dockerfile.sandbox.custom -t my-openclaw-sandbox:dev .
- Point the agent sandbox at that image
{
agents: {
defaults: {
sandbox: {
mode: "non-main", // or "all"
backend: "docker",
scope: "session", // session | agent | shared
workspaceAccess: "rw", // none | ro | rw
docker: {
image: "my-openclaw-sandbox:dev",
network: "none", // default; safer
memory: "2g",
cpus: 1
}
}
}
}
}
Or per-agent:
{
agents: {
list: [
{
id: "coding",
sandbox: {
mode: "all",
backend: "docker",
scope: "agent",
workspaceAccess: "rw",
docker: {
image: "my-openclaw-sandbox:dev"
}
}
}
]
}
}
- Recreate existing sandboxes after changing the image/config
openclaw sandbox recreate
Compose is mainly for the gateway container or extra services. If your sandbox needs to reach a compose service, create/use a named Docker network and set sandbox.docker.network to that network. Avoid host networking; OpenClaw blocks some unsafe modes by default.
Docs:
https://docs.openclaw.ai/gateway/sandboxing
https://docs.openclaw.ai/tools/multi-agent-sandbox-tools
https://docs.openclaw.ai/install/docker#agent-sandbox
help it says my context window is 200k in /status but it is supposed to be 700k
First thing: can you paste openclaw --version and the model line from /status?
Most likely causes:
- Global cap is set to 200k
openclaw config get agents.defaults.contextTokens
If that prints 200000, OpenClaw is capped there. Either unset it:
openclaw config unset agents.defaults.contextTokens
openclaw gateway restart
or, only if the model really supports 700k:
openclaw config set agents.defaults.contextTokens 700000 --strict-json
openclaw gateway restart
- Custom/OpenAI-compatible provider missing model metadata
If OpenClaw doesn’t know the model’s real window, it can fall back to200000. Set the provider model metadata:
openclaw config set 'models.providers.<provider>.models' '[{"id":"<model>","contextWindow":700000,"contextTokens":700000}]' --strict-json --merge
openclaw gateway restart
- Anthropic long context is different
For Claude long context, 1M is beta-gated. You need:
openclaw config set 'agents.defaults.models' '{"anthropic/claude-sonnet-4-6":{"params":{"context1m":true}}}' --strict-json --merge
openclaw gateway restart
That requires an eligible Anthropic API key; some token/OAuth paths fall back to normal context.
After changing it, start a fresh turn/session if /status still shows the old persisted value.
Docs:
https://docs.openclaw.ai/reference/token-use
https://docs.openclaw.ai/providers/anthropic
https://docs.openclaw.ai/gateway/config-tools
Yep, only one real anomaly:
InteractionEventListener ... This operation was aborted— likely a Discord slash command/button/select interaction handler got aborted, timed out, or the gateway was restarting while it ran. If it happened once, not scary. If the UI/action failed for you, rerun that interaction.
The rest looks normal:
tool-imagesresize — normal. Image was resized from 1280px wide to max 1200px.- Discord websocket closed
1000— normal/clean close. resume=truereconnect scheduled — normal resume behavior.- The duplicate close/reconnect pair is mildly interesting. Could be two Discord clients/accounts, or duplicate logging during reconnect. If it repeats constantly, check for duplicate gateway processes.
Please still paste:
openclaw --version
openclaw gateway status
openclaw status --all
how can i just completely disable the browser and node tool. i dont want my agent to know about em so it doesnt use them in error.
Use tool policy deny. Deny wins and the agent won’t see/call those tools.
In openclaw.json:
{
tools: {
deny: ["browser", "nodes"]
}
}
Then:
openclaw config validate
openclaw gateway restart
If by “node” you mean Node.js via shell (node ...), that’s not the nodes tool — that’s the exec tool. To block shell/runtime entirely:
{
tools: {
deny: ["browser", "nodes", "group:runtime"]
}
}
group:runtime disables exec, process, and code_execution.
If you only want to prevent exec from routing to a paired node but still allow shell on gateway/sandbox:
{
tools: {
deny: ["browser", "nodes"],
exec: {
host: "gateway" // or "sandbox" if you use sandboxing
}
}
}
If you already have a tools.deny list, append to it rather than replacing it.
Docs:
https://docs.openclaw.ai/gateway/config-tools
https://docs.openclaw.ai/tools/exec
my openclaw gateway is crashing how can i view its logs without using "openclaw logs" cause that command wont run cause gateway not running
Yep — openclaw logs uses the gateway/RPC path, so if the gateway is crashing, tail the raw files or service logs directly.
Raw OpenClaw file log:
ls -lah /tmp/openclaw
tail -n 200 -f "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)"
If it’s a service startup crash, also check the service journal:
journalctl --user -u openclaw-gateway.service -n 200 --no-pager
journalctl --user -u openclaw-gateway.service -f
If you run Docker/Compose:
docker compose logs --tail=200 -f openclaw-gateway
If macOS app/launchd:
tail -n 200 -f /tmp/openclaw/openclaw-gateway.log
Also paste:
openclaw --version
openclaw gateway status
how can i start gateway but in the foreground
Run it directly in your terminal:
openclaw gateway run
openclaw gateway is equivalent; run just makes the foreground intent explicit.
If a service is already trying to run and fighting you, stop it first:
openclaw gateway stop
openclaw gateway run
For extra debugging:
openclaw --log-level debug gateway run
If it complains about config not being local, use this only for ad-hoc debugging:
openclaw gateway run --allow-unconfigured
Stop the foreground gateway with Ctrl-C.
A few atypical things, but the gateway itself did start successfully:
-
âś… Normal:
ready (...; 24.1s), canvas mounted, hooks loaded, log file created. -
⚠️ Tailscale Serve failed:
Command failed: /usr/bin/tailscale serve --bg --yes 18789
That’s the biggest issue. Check:tailscale status tailscale serve status /usr/bin/tailscale serve --bg --yes 18789If you don’t need Tailscale exposure, disable it:
openclaw config set gateway.tailscale.mode off -
⚠️ OpenRouter pricing fetch failed: likely no outbound internet/DNS issue or temporary OpenRouter reachability. Usually non-fatal.
- ⚠️ Codex catalog discovery failed; using fallback catalog: non-fatal. It’ll use bundled fallback models unless you rely on live Codex discovery.
- ⚠️ Bonjour stuck/restarting: LAN mDNS discovery is flaky in some VPS/Docker/WSL/network setups. Non-fatal unless you rely on LAN auto-discovery. If not needed:
or for one-off runs:openclaw plugins disable bonjourOPENCLAW_DISABLE_BONJOUR=1 openclaw gateway run
So: not a crash log. It’s a healthy gateway with sidecar/discovery failures. I’d focus on Tailscale first.
Also paste openclaw --version when you can.
Docs: https://docs.openclaw.ai/gateway/tailscale https://docs.openclaw.ai/gateway/bonjour
here?
00:17:19 [plugins] [hooks] running reply_dispatch (1 handlers, first-claim wins)
00:17:19 [plugins] [hooks] running before_agent_reply (1 handlers, first-claim wins)
00:17:30 [diagnostic] lane enqueue: lane=session agent main:main queueSize=1
00:17:30 [diagnostic] lane dequeue: lane=session agent main:main waitMs=5 queueSize=0
00:17:30 [diagnostic] lane enqueue: lane=main queueSize=1
00:17:30 [diagnostic] lane dequeue: lane=main waitMs=3 queueSize=0
00:17:32 [agents/harness] agent harness selected
00:17:32 [agent/embedded] embedded run start: runId=f62eb984-39a9-4020-848e-27ed6b92ddb0 sessionId=274ac3ef-f751-4ba1-8428-d0e3f172dfdb provider=pikachu model=auto-gemini-3 thinking=off messageChannel=discord
00:18:25 [plugins] plugin tool factory returned null (xai): [code_execution]
00:18:25 [plugins] plugin tool factory returned null (xai): [x_search]
00:18:25 [diagnostic] heartbeat: webhooks=0/0/0 active=1 waiting=0 queued=1
00:18:25 [discord] gateway: Gateway websocket closed: 1000
00:18:25 [discord] gateway: Gateway reconnect scheduled in 875ms (close, resume=true)
00:18:28 [diagnostic] session state: sessionId=274ac3ef-f751-4ba1-8428-d0e3f172dfdb sessionKey=agent:main:main prev=processing new=processing reason="run_started" queueDepth=1
00:18:28 [diagnostic] run registered: sessionId=274ac3ef-f751-4ba1-8428-d0e3f172dfdb totalActive=1
00:18:28 [agent/embedded] embedded run prompt start: runId=f62eb984-39a9-4020-848e-27ed6b92ddb0 sessionId=274ac3ef-f751-4ba1-8428-d0e3f172dfdb provider=pikachu api=openai-completions endpoint=local route=local policy=none
00:18:28 [agent/embedded] [context-diag] pre-prompt: sessionKey=agent:main:main messages=165 roleCounts=assistant:67,custom:24,toolResult:51,user:23 historyTextChars=131630 maxMessageTextChars=16000 historyImageBlocks=1 systemPromptChars=54412 promptChars=412 promptImages=0 provider=pikachu/auto-gemini-3 sessionFile=/home/ubuntu/.openclaw/agents/main/sessions/274ac3ef-f751-4ba1-8428-d0e3f172dfdb.jsonl
Yes — two notable things:
-
roleCounts ... user:23- If your goal is literally “model payload should have at most one user message,” this log shows that is not happening. It’s loading session history:
messages=165,user:23,assistant:67,toolResult:51. - That may be normal conversation history, not newly piled-up messages. But for strict user/assistant alternation debugging, this is the line to focus on.
- Try a fresh session after changing queue/debounce config:
or clear/reset the relevant session./new
- If your goal is literally “model payload should have at most one user message,” this log shows that is not happening. It’s loading session history:
-
Long delay before prompt
embedded run startat00:17:32embedded run prompt startat00:18:28- ~56s before the provider call. That’s atypically slow; likely context/tool setup, plugin initialization, or local provider prep.
Less concerning:
plugin tool factory returned null (xai): [code_execution]/[x_search]means xAI tools are registered but unavailable, usually no xAI key or disabled config. Harmless unless you expected those tools.- Discord websocket
1000+ reconnect is clean/normal. queueDepth=1/queued=1means one follow-up/message is queued while a run is active. That’s expected if someone messages during processing.
If you don’t need xAI tools, disable xAI or deny those tools to reduce noise.
what about the gateway websocket closed whats the deal with that
That line is about the Discord Gateway websocket, not necessarily your OpenClaw Gateway crashing.
Gateway websocket closed: 1000 = normal clean close.
reconnect scheduled ... resume=true = Discord client will reconnect and resume the session.
So by itself: not scary.
It becomes suspicious only if:
- it loops constantly every few seconds/minutes
- Discord replies stop
- you see non-1000 close codes, auth errors, or rate-limit messages
- you have duplicate gateway processes both connecting the same bot token
Quick check:
openclaw --version
openclaw channels status --probe
grep -i "discord gateway" /tmp/openclaw/openclaw-$(date +%F).log | tail -50
If you see 1000 occasionally, ignore it. If it’s constant, I’d look for duplicate processes or unstable network/service restarts.
its constant and every time i msg i see the typing indicator vanish and come back a few times
If it’s constant, that’s no longer “normal clean close” — it means the Discord client is repeatedly being torn down/reconnected. The typing indicator vanishing/reappearing fits that.
Most likely causes:
-
Duplicate gateways using the same Discord bot token
Example: service is running + you also startedopenclaw gateway run.Check:
openclaw --version openclaw gateway status pgrep -af 'openclaw.*gateway|openclaw-gateway|node .*openclaw' systemctl --user status openclaw-gateway.service --no-pager docker ps --format 'table {{.Names}}\t{{.Image}}\t{{.Status}}' -
Discord account configured twice / same token in multiple accounts
Don’t paste tokens, but check shape:
openclaw config get channels.discord.accounts --json
openclaw config get channels.discord.enabled
- Discord provider lifecycle restarting after an error
Grab the surrounding lines:grep -Ei 'discord gateway|Gateway websocket|READY|reconnect|fatal|error|identify' \ /tmp/openclaw/openclaw-$(date +%F).log | tail -120
For isolation, I’d stop the service and run exactly one foreground gateway:
openclaw gateway stop
openclaw gateway run
If the reconnect loop stops, it was probably duplicate supervisor/process weirdness. If it continues, paste the filtered Discord log lines above.
stop and run doesnt fix
If stop + single foreground run didn’t fix it, I’d check external duplicate token use or Discord config duplication next.
Do this:
openclaw --version
openclaw doctor --deep
openclaw gateway status --deep
pgrep -af 'openclaw.*gateway|openclaw-gateway|node .*openclaw'
docker ps --format 'table {{.Names}}\t{{.Image}}\t{{.Status}}'
Then check Discord config shape — don’t paste tokens:
openclaw config get channels.discord --json
Look for the same bot token/account configured twice.
Best hard test: reset the Discord bot token in Discord Developer Portal, update DISCORD_BOT_TOKEN / config, then run one foreground gateway. If another machine/container was using the old token, it gets kicked off instantly.
Also grab the Discord-only log context:
grep -Ei 'discord|Gateway websocket|READY|reconnect|identify|fatal|error|listener' \
/tmp/openclaw/openclaw-$(date +%F).log | tail -200
One extra note: typing blinking can also be normal refresh behavior. To remove that noise while debugging:
openclaw config set agents.defaults.typingMode never
openclaw gateway restart
But constant websocket closes still need the checks above.
i ran openclaw gateway stop 5 times and my agent still online
Then openclaw gateway stop is not stopping the process that’s actually connected to Discord.
Most likely: different supervisor/profile/container/host is running the same Discord bot token.
Run these read-only checks:
openclaw --version
which openclaw
openclaw gateway status --deep
openclaw doctor --deep
pgrep -af 'openclaw.*gateway|openclaw-gateway|node .*openclaw'
ss -lptn 'sport = :18789'
systemctl --user list-units '*openclaw*' --all
systemctl list-units '*openclaw*' --all
docker ps --format 'table {{.Names}}\t{{.Image}}\t{{.Status}}\t{{.Ports}}'
If you use profiles, stop the right one:
openclaw --profile <name> gateway stop
If local checks show nothing running, but Discord still shows typing/reconnects, the same bot token is running on another machine/container. The definitive test is: reset the Discord bot token in Developer Portal, update only this gateway with the new token, then run foreground once.
Also: the bot can appear in the server member list even when offline, but if it’s typing/responding, something is definitely still connected.
what does this mean when updating on dev channel
â—‡ âś— preflight lint (82ca94fd) (142.22s)
status: null,
signal: 'SIGKILL',
output: [ null, null, null ],
pid: 17104,
stdout: null,
stderr: null
}
Node.js v25.9.0
[oxlint:core] finished
That means the dev-channel updater’s preflight lint process was killed, not that oxlint found normal lint errors.
Key bit:
status: null
signal: 'SIGKILL'
stdout: null
stderr: null
SIGKILL usually means external kill: OOM killer / memory limit / container cgroup / manual kill / supervisor timeout. Since it says [oxlint:core] finished, oxlint may have completed and the larger preflight step got killed around it.
Atypical thing: Node.js v25.9.0. OpenClaw recommends Node 24; Node 25 is bleeding-edge. I’d switch to Node 24 first.
Check OOM:
free -h
dmesg -T | grep -Ei 'killed process|oom|out of memory' | tail -50
journalctl -k -n 100 --no-pager
Then use Node 24 and rerun:
node -v
corepack enable
openclaw update --channel dev --timeout 3600
If using nvm:
nvm install 24
nvm use 24
npm i -g openclaw@latest
openclaw update --channel dev
Also paste openclaw --version.
Docs: https://docs.openclaw.ai/install/node https://docs.openclaw.ai/cli/update
can i just... uninstall openclaw and reinstall. if i have my .openclaw folder set up properly with everything
Yes — but do not run openclaw uninstall --all if you want to keep ~/.openclaw. That removes state/config.
Safer “reinstall code, keep state” flow:
openclaw --version
cp -a ~/.openclaw ~/.openclaw.backup.$(date +%F-%H%M)
openclaw gateway stop
openclaw gateway uninstall
npm rm -g openclaw
npm i -g openclaw@latest
openclaw doctor
openclaw gateway install --force
openclaw gateway start
If you were on dev/source and want stable npm:
openclaw update --channel stable
or reinstall via installer without onboarding:
curl -fsSL https://openclaw.ai/install.sh | bash -s -- --install-method npm --no-onboard
Your ~/.openclaw contains config, auth profiles, sessions, channel state, workspace, etc., so keeping it should preserve setup.
One caveat: if the problem is bad config inside ~/.openclaw or another machine using the same Discord bot token, reinstalling OpenClaw won’t fix that. For your Discord reconnect loop, I’d still reset the Discord bot token if reinstall doesn’t change behavior.
Docs: https://docs.openclaw.ai/install/uninstall https://docs.openclaw.ai/install/updating
will this kind of uninstall where you do npm rm -g conserve the .openclaw dir
Yes. npm rm -g openclaw removes the global CLI/package install, not your ~/.openclaw state dir.
This preserves:
~/.openclaw/openclaw.json- auth profiles
- channel credentials/state
- sessions
- workspace
- plugin runtime state under
~/.openclaw
The dangerous one is:
openclaw uninstall --all
or manually doing:
rm -rf ~/.openclaw
So the safe pattern is:
cp -a ~/.openclaw ~/.openclaw.backup.$(date +%F-%H%M)
openclaw gateway stop
openclaw gateway uninstall
npm rm -g openclaw
npm i -g openclaw@latest
That should conserve .openclaw.
yeah i reinstalled and still issues. while it is still gatway running and following logs it always gives a gateway not reachable issue. this happens when i send it a message.
That points away from “bad install” and toward runtime/config/profile/port mismatch or the gateway crashing when the Discord message is handled.
Also: openclaw logs --follow itself talks to the gateway over RPC, so if RPC is down it can print “Gateway not reachable.” Use the file log fallback instead:
openclaw --version
which openclaw
openclaw gateway status --deep
openclaw gateway probe
openclaw status --all
pgrep -af 'openclaw.*gateway|openclaw-gateway|node .*openclaw'
ss -lptn 'sport = :18789'
tail -n 300 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)"
Then send one Discord message to the bot and immediately run:
tail -n 300 "$(ls -t /tmp/openclaw/openclaw-*.log | head -1)"
Please paste the output of openclaw --version, openclaw gateway status --deep, and the log tail around the failed message. openclaw status --all is usually safe/redacted too.
Most likely causes now:
- gateway service says “running” but RPC port is not actually reachable
- different
openclawbinary/profile than the service is using - port
18789occupied by a stale process - gateway crashes/restarts on inbound Discord message
- bad config/state inside
~/.openclaw, which reinstall won’t fix
Docs: https://docs.openclaw.ai/help/troubleshooting https://docs.openclaw.ai/gateway/troubleshooting
That’s a useful clue: the gateway is reachable enough to accept WS auth:
Connect: ok · Capability: admin-capable
…but the read RPC probe times out. So this is not “port closed” or “gateway not running”; it’s more like the gateway process is alive but its RPC/status path is stuck or overloaded.
Don’t reinstall again yet. Please grab the file logs around one failing message:
LOG="$(ls -t /tmp/openclaw/openclaw-*.log | head -1)"
echo "$LOG"
tail -n 300 "$LOG"
Then send the bot a message, wait ~10s, and run:
tail -n 300 "$LOG"
Also try a longer probe once:
openclaw gateway status --deep --timeout 15000
openclaw gateway probe --timeout 15000 --json
If longer timeout works, the gateway is just very busy/slow. If it still says Read probe: failed - timeout, then something in the running gateway is hanging the read RPCs.
The log lines I’d look for are crashes/restarts, Unhandled, TypeError, model/provider errors, Discord inbound handling, or anything right after the Discord message arrives.
Docs: https://docs.openclaw.ai/help/troubleshooting https://docs.openclaw.ai/cli/gateway
No — that output shows one process:
- PID
60959 - process name
openclaw-gateway - listening on IPv4 loopback
127.0.0.1:18789 - and IPv6 loopback
[::1]:18789
Those are two listening sockets/fds from the same gateway process, not two gateways.
If you want to confirm:
pgrep -af 'openclaw.*gateway|openclaw-gateway'
If that only shows 60959, duplicate processes are not the issue. The weird part remains: WS connect succeeds, but read RPC times out.
Assuming you mean “how can we confirm what it’s stuck on?”, do this:
pgrep -af 'openclaw.*gateway|openclaw-gateway'
Then for the PID, run:
ps -o pid,ppid,stat,etime,%cpu,%mem,cmd -p 60959
lsof -Pan -p 60959 -iTCP -sTCP:LISTEN
For the actual hang, logs are next:
LOG="$(ls -t /tmp/openclaw/openclaw-*.log | head -1)"
tail -n 300 "$LOG"
And a useful isolation test:
openclaw gateway stop
openclaw gateway run
Then in another terminal:
openclaw gateway status --deep --timeout 15000
If foreground gateway run works but service mode doesn’t, it’s likely service/env/PATH/state. If foreground also has Read probe: failed - timeout, it’s probably a runtime hang/bug in 2026.4.26 or config/state causing the gateway’s read RPC to block.
Those two lines are probably not the smoking gun.
gateway/channels/discord ... discord gateway:= Discord’s websocket gateway, not the OpenClaw local gateway.gateway/ws ... closed before connect ... 127.0.0.1= some local client opened the OpenClaw WS and closed before finishing handshake. That can happen from probes/status/log commands timing out or aborting.
The key question is: do you see the Discord reconnect line once, or is it looping every second?
To capture the useful slice:
LOG="$(ls -t /tmp/openclaw/openclaw-*.log | head -1)"
rg -n "04:56:|04:57:|discord|gateway/ws|error|warn|Unhandled|TypeError|timeout" "$LOG"
If it’s repeatedly:
discord gateway: Gateway reconnect scheduled ...
discord gateway: Gateway websocket closed ...
then I’d suspect Discord connection flapping — often network, Discord token/session conflict, or another process/machine using the same bot token.
If it’s just once, keep looking after the inbound message line. The read RPC timeout means the gateway accepts auth but then stalls on health/status/config.get, so the important log is usually right after message handling starts.
Line 320 is the useful one:
cause: "handshake-timeout"
lastFrameMethod: "connect"
handshakeMs: 55619
That means the local CLI/client did send the connect request, but the gateway never finished the connect handshake for ~55s. So the gateway process is alive, but its WS connect/RPC path is hanging.
One big clue: your CLI is:
/home/ubuntu/.local/bin/openclaw
but the log is from:
/home/ubuntu/openclaw/dist/...
That smells like a split-brain/source install vs CLI install mismatch.
Check this:
readlink -f /home/ubuntu/.local/bin/openclaw
ps -fp 60959 -o pid,ppid,etime,cmd
node -v
Then I’d force the service to reinstall from the CLI you actually want:
openclaw gateway stop
sleep 2
ss -lptn 'sport = :18789'
If PID 60959 is still listening after stop:
kill 60959
Then:
/home/ubuntu/.local/bin/openclaw gateway install --force
/home/ubuntu/.local/bin/openclaw gateway restart
/home/ubuntu/.local/bin/openclaw gateway status --deep --timeout 15000
If you intentionally run from ~/openclaw source, then don’t use the .local installed CLI path — rebuild/restart from source instead. Mixing those is exactly the kind of thing that produces “gateway alive but unreachable/weird RPC timeout” behavior.
v24.15.0 is probably fine — current installer docs default to Node 24, with Node 22.14+ still supported. So I wouldn’t chase Node version first.
The important remaining mismatch is still:
- CLI:
/home/ubuntu/.local/bin/openclaw - logs:
/home/ubuntu/openclaw/dist/... - process:
openclaw-gatewaywith no full path shown
Let’s identify what the running service actually launched:
readlink -f /home/ubuntu/.local/bin/openclaw
readlink -f /proc/60959/exe
readlink -f /proc/60959/cwd
tr '\0' ' ' < /proc/60959/cmdline; echo
pstree -sap 60959
If /proc/60959/cwd or cmdline points at ~/openclaw, then you’re running a source/git install, not a clean npm/global install. In that case, fix by choosing one install path and reinstalling the gateway service from that one.
Also PPID 1607 is just the parent/supervisor; it doesn’t mean two gateway listeners. The hang is the connect handshake taking 55s, which points to the gateway event loop/RPC path being stuck.
That actually looks clean now:
- service parent is user
systemd - executable resolves through
/home/ubuntu/.local/bin/openclaw - Node is
/home/linuxbrew/.../node@24 - cwd is
/home/ubuntu - the
{openclaw-gateway}entries are threads, not separate gateway processes
So I’d stop chasing duplicate/split-brain. The current failure is more specific: gateway accepts a local WS connection but times out while processing the connect request.
Next best diagnostic is to see whether it’s CPU/event-loop blocked or waiting on config/auth/state:
ps -L -p 60959 -o pid,tid,stat,pcpu,pmem,comm | sort -k4 -nr | head -20
Then check whether a restart clears it temporarily:
openclaw gateway restart
sleep 5
openclaw gateway status --deep --timeout 15000
If restart fixes it until the next Discord message, that’s a strong repro: Discord inbound triggers gateway WS/RPC hang. At that point I’d file a GitHub issue with:
- OpenClaw
2026.4.26 (4340cb7) - Node
v24.15.0 gateway status --deepshowingConnect: okbutRead probe: failed - timeout- log line with
cause: "handshake-timeout",lastFrameMethod: "connect",handshakeMs: 55619 - whether it happens immediately after Discord message
- whether restart temporarily fixes it
Issue tracker: https://github.com/openclaw/openclaw/issues
Yeah, that’s not idle. Main thread is:
Rsl 24.1% openclaw-gateway
So the gateway isn’t just waiting on network — the main JS thread is actively running/busy, which explains why WS connect handshakes and read RPCs time out.
Next move: find what it’s chewing on.
Run:
openclaw logs --follow
If that can’t connect, use:
LOG="$(ls -t /tmp/openclaw/openclaw-*.log | head -1)"
tail -f "$LOG"
Then restart and watch exactly what starts the CPU loop:
openclaw gateway restart
In another terminal, after restart:
watch -n 1 'ps -L -p $(pgrep -n openclaw-gateway) -o pid,tid,stat,pcpu,pmem,comm | sort -k4 -nr | head -15'
Then send one Discord message.
If CPU jumps and RPC dies right after the Discord message, we’ve got a pretty tight repro. As a workaround, try disabling Discord temporarily to confirm:
openclaw config set channels.discord.enabled false --strict-json
openclaw gateway restart
openclaw gateway status --deep --timeout 15000
If status becomes healthy with Discord disabled, then the bug is in Discord inbound/gateway handling, not general gateway startup.
tail: OS file watch limit reached. about ["/tmp/openclaw"]
That’s a separate Linux watcher limit issue — not the gateway WS timeout itself, but it may be part of the “gateway is chewing CPU / watchers” picture.
For now, avoid -f/watching and poll the log instead:
LOG="$(ls -t /tmp/openclaw/openclaw-*.log | head -1)"
watch -n 2 "tail -n 120 '$LOG'"
Or one-shot snapshots:
tail -n 300 "$LOG"
To see who is consuming inotify watchers:
for p in /proc/[0-9]*; do
c=$(find "$p/fd" -lname 'anon_inode:inotify' 2>/dev/null | wc -l)
[ "$c" -gt 0 ] && printf "%s %s %s\n" "$c" "${p##*/}" "$(tr '\0' ' ' < "$p/cmdline" | cut -c1-120)"
done | sort -nr | head -20
Quick fix if the host limit is low:
cat /proc/sys/fs/inotify/max_user_watches
cat /proc/sys/fs/inotify/max_user_instances
Temporary raise:
sudo sysctl fs.inotify.max_user_watches=1048576
sudo sysctl fs.inotify.max_user_instances=1024
Persistent:
printf "fs.inotify.max_user_watches=1048576\nfs.inotify.max_user_instances=1024\n" | sudo tee /etc/sysctl.d/99-openclaw-inotify.conf
sudo sysctl --system
But for the current debugging: use watch ... tail -n so we don’t depend on file watching while diagnosing the gateway hang.
i really want to see how or what is causing the openclaw gateway issue. the disconnections and stuff. what are some extreme things i could do to rule out possibilities
Totally. If you want to prove what’s causing it, stop reinstalling randomly and do a controlled isolation matrix.
1) Prove whether binary/host is healthy with a clean state
This rules out your existing ~/.openclaw state/config/sessions.
openclaw gateway stop
OPENCLAW_STATE_DIR=/tmp/openclaw-clean-test \
openclaw --log-level debug gateway run --allow-unconfigured --port 18889
In another terminal:
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
If clean state is healthy: your install/Node/host are probably fine; issue is in existing state/config/plugin/channel data.
2) Run foreground with extreme diagnostics
mkdir -p /tmp/openclaw-prof /tmp/openclaw-reports
NODE_OPTIONS="--cpu-prof --cpu-prof-dir=/tmp/openclaw-prof --report-on-signal --report-dir=/tmp/openclaw-reports" \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run
Reproduce the hang. While it’s stuck:
PID="$(pgrep -n openclaw-gateway)"
kill -USR2 "$PID"
ps -L -p "$PID" -o pid,tid,stat,pcpu,pmem,comm | sort -k4 -nr | head -20
Then stop the foreground gateway with Ctrl+C. You should get CPU profiles in /tmp/openclaw-prof and a Node diagnostic report in /tmp/openclaw-reports.
⚠️ Don’t paste Node reports publicly without checking them — they can include env/config paths.
3) Attach strace during the hang
This is ugly but high signal:
PID="$(pgrep -n openclaw-gateway)"
sudo timeout 30s strace -f -tt -T -s 200 -p "$PID" -o /tmp/openclaw.strace
If it’s looping on the same syscall, stuck on filesystem/inotify, DNS, sockets, etc., this often reveals it.
4) Binary-search channels/plugins
First confirm Discord is the trigger:
openclaw config set channels.discord.enabled false --strict-json
openclaw gateway restart
openclaw gateway status --deep --timeout 15000
If healthy with Discord disabled, re-enable Discord and test with a brand-new throwaway Discord bot token/app. That rules out duplicate bot sessions, bad token state, Discord-side weirdness.
5) Rule out watcher exhaustion
cat /proc/sys/fs/inotify/max_user_watches
cat /proc/sys/fs/inotify/max_user_instances
for p in /proc/[0-9]*; do
c=$(find "$p/fd" -lname 'anon_inode:inotify' 2>/dev/null | wc -l)
[ "$c" -gt 0 ] && printf "%s %s %s\n" "$c" "${p##*/}" "$(tr '\0' ' ' < "$p/cmdline" | cut -c1-120)"
done | sort -nr | head -20
6) Nuclear-but-clean repro package
For a GitHub issue, collect:
openclaw --version
node -v
openclaw status --all
openclaw gateway status --deep --timeout 15000
Plus:
- the
handshake-timeoutlog - CPU thread output showing main thread busy
- whether clean
OPENCLAW_STATE_DIR=/tmp/...works - whether disabling Discord fixes it
Docs: https://docs.openclaw.ai/help/troubleshooting https://docs.openclaw.ai/diagnostics/flags https://docs.openclaw.ai/cli/gateway
for 1 i see the issue pop up hwen i send it a discord message in my normal sessions so how do i replicate that perhaps ?
Yep — to reproduce “Discord message triggers gateway hang,” you need a test gateway that actually has Discord enabled.
Best two ways:
Option A: safest clean repro with a throwaway Discord bot
Use a new Discord bot token in a private test server so it doesn’t conflict with your real bot.
TEST=/tmp/openclaw-discord-repro
rm -rf "$TEST"
mkdir -p "$TEST"
cat > "$TEST/openclaw.json" <<'JSON5'
{
gateway: {
mode: "local",
port: 18889,
auth: { token: "test-token" }
},
channels: {
discord: {
enabled: true,
token: {
source: "env",
provider: "default",
id: "DISCORD_BOT_TOKEN"
},
groupPolicy: "allowlist",
guilds: {
"YOUR_TEST_SERVER_ID": {
requireMention: false,
users: ["YOUR_DISCORD_USER_ID"]
}
}
}
}
}
JSON5
Then run:
DISCORD_BOT_TOKEN="YOUR_THROWAWAY_BOT_TOKEN" \
OPENCLAW_STATE_DIR="$TEST" \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --port 18889
In another terminal:
OPENCLAW_STATE_DIR="$TEST" openclaw gateway status --deep --url ws://127.0.0.1:18889 --timeout 15000
Then send a message to the throwaway bot in the test server.
Option B: reproduce with your real state, without mutating it
This is closer to your real bug:
openclaw gateway stop
REPRO=/tmp/openclaw-state-repro
rm -rf "$REPRO"
cp -a ~/.openclaw "$REPRO"
OPENCLAW_STATE_DIR="$REPRO" \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --port 18889
Then send the same Discord message.
Important: don’t run your normal gateway at the same time if reusing the same Discord bot token. Discord tokens hate duplicate gateway sessions and can cause reconnect weirdness.
If Option A works fine but Option B hangs, the bug is in your existing state/config/sessions. If both hang, it’s more likely Discord plugin/runtime/host-level.
Good catch — that clean test is actually working enough to reject you correctly. The failure is just auth: your probe CLI is using your normal token/device auth, but the clean gateway generated/uses a different auth token.
Run the probe with the same clean state dir and/or explicit token.
Try:
OPENCLAW_STATE_DIR=/tmp/openclaw-clean-test \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
If still token mismatch, start the clean gateway with a known token:
OPENCLAW_STATE_DIR=/tmp/openclaw-clean-test \
openclaw --log-level debug gateway run --allow-unconfigured --port 18889 --token clean-test-token
Then probe:
openclaw gateway probe \
--url ws://127.0.0.1:18889 \
--token clean-test-token \
--timeout 15000
If that returns Reachable: yes / Read probe: ok, the clean binary/host baseline is healthy.
Then the next isolation is: copy your real state, run it on port 18889, and probe with that state/token:
openclaw gateway stop
REPRO=/tmp/openclaw-state-repro
rm -rf "$REPRO"
cp -a ~/.openclaw "$REPRO"
OPENCLAW_STATE_DIR="$REPRO" \
openclaw --log-level debug gateway run --port 18889
Probe from another terminal:
OPENCLAW_STATE_DIR="$REPRO" \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
If clean+known-token works but copied-state hangs, we’ve proven it’s state/config/session/plugin-related rather than host/binary.
Nice — that’s actually a healthy baseline for the clean gateway.
It means:
- binary starts âś…
- port accepts WS âś…
- connect handshake is fast âś…
- no 55s hang âś…
- only missing
operator.readauth, because this clean state doesn’t have your normal paired operator token ✅
For a full read probe, start clean gateway with a known token:
OPENCLAW_STATE_DIR=/tmp/openclaw-clean-test \
openclaw --log-level debug gateway run --allow-unconfigured --port 18889 --token clean-test-token
Then:
openclaw gateway probe \
--url ws://127.0.0.1:18889 \
--token clean-test-token \
--timeout 15000
Expected: Reachable: yes, Capability: admin-capable, Read probe: ok.
If that works, you’ve ruled out Node/install/host. Then test copied real state:
REPRO=/tmp/openclaw-state-repro
rm -rf "$REPRO"
cp -a ~/.openclaw "$REPRO"
OPENCLAW_STATE_DIR="$REPRO" \
openclaw --log-level debug gateway run --port 18889
Probe:
OPENCLAW_STATE_DIR="$REPRO" \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
If copied real state reproduces the hang, the culprit is inside ~/.openclaw — config, sessions, plugins, memory/index, or Discord state.
Fresh-session note: there wasn’t a BOOTSTRAP resume file/highlights to restore, so I’m rebuilding from this thread.
Your output is actually pretty clear: this is auth/scope, not reachability.
ws://127.0.0.1:18889is reachableconnected-no-operator-scope/missing operator.readmeans the CLI connected, but didn’t have usable operator credentials- the
127.0.0.1:18789 ECONNREFUSEDpart just means nothing is listening on the default local port there; that’s separate
Most likely cause: if you ran with an explicit --url, OpenClaw does not reuse saved creds automatically. You need to pass --token or --password with that command.
Try this on the machine that owns the gateway:
openclaw --version
openclaw config get gateway.auth.token
openclaw gateway status --url ws://127.0.0.1:18889 --token '<paste-token-here>'
If your gateway uses password auth instead, use:
openclaw gateway status --url ws://127.0.0.1:18889 --password '<your-password>'
If the next result changes to pairing required, then do:
openclaw devices list
openclaw devices approve <requestId>
Docs:
Paste back:
openclaw --version- the exact
gateway statuscommand you ran - the new output after adding
--tokenor--password
That should get us to the real next step fast.
wait lets start from scratch. what do i do ? ive killed existing terminal processes/sessions.
Yep — clean reset. Do this as a controlled experiment.
Terminal A: make sure nothing is running
openclaw gateway stop
sleep 3
pgrep -af 'openclaw.*gateway|openclaw-gateway' || true
ss -lptn 'sport = :18789 or sport = :18889'
If a gateway PID is still listening, stop there and paste that output.
Terminal A: clean baseline gateway
rm -rf /tmp/openclaw-clean-test
mkdir -p /tmp/openclaw-clean-test
OPENCLAW_STATE_DIR=/tmp/openclaw-clean-test \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --allow-unconfigured --port 18889 --token clean-test-token
Leave it running.
Terminal B: probe clean gateway
openclaw gateway probe \
--url ws://127.0.0.1:18889 \
--token clean-test-token \
--timeout 15000
Expected: Reachable: yes, admin-capable, Read probe: ok.
If that works, your binary/Node/host are fine.
Terminal A: stop clean gateway
Ctrl+C.
Terminal A: run copied real state
Important: don’t run your normal gateway at the same time, because Discord bot tokens can conflict.
rm -rf /tmp/openclaw-state-repro
cp -a ~/.openclaw /tmp/openclaw-state-repro
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --port 18889
Leave it running.
Terminal B: probe before Discord message
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
Then send one Discord message to the bot.
Immediately run:
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
If it goes from healthy → timeout after that message, we’ve got the repro. Then we binary-search config/state.
Nope — that’s good. ✅
Two notes:
read-onlyinstead ofadmin-capableis fine for this test;Read probe: okis the important part.127.0.0.1:18789 ECONNREFUSEDis expected because your normal gateway is stopped.
So clean baseline passed. Now stop that clean gateway with Ctrl+C, then move to copied real state:
rm -rf /tmp/openclaw-state-repro
cp -a ~/.openclaw /tmp/openclaw-state-repro
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --port 18889
Then probe before sending any Discord message:
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
Important: keep the normal gateway stopped while this runs, so the same Discord bot token isn’t connected twice.
damn i feel so baffled with all this and even a reinstall didnt fix anything for me. feeling so lost
Yeah, that’s frustrating as hell — but you’re not lost. We actually learned one important thing:
Reinstall didn’t help because the clean gateway works.
So the binary/Node/host are probably fine. The problem is almost certainly in your existing ~/.openclaw state/config/session/plugin data, which reinstall preserves.
Don’t debug everything at once. Next single step:
openclaw gateway stop
rm -rf /tmp/openclaw-state-repro
cp -a ~/.openclaw /tmp/openclaw-state-repro
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --port 18889
Then in another terminal:
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
That tells us whether your copied real state is broken before Discord gets involved.
If it’s healthy, send exactly one Discord message and probe again. If it breaks then, we’ve pinned it to Discord inbound/session handling. If it’s already broken before the message, we binary-search files in ~/.openclaw.
One bite at a time. This is solvable.
wait i dont have enough storage to copy it to temp. my workspace is massive
Ah yeah, don’t copy the whole thing then. We can make a thin repro state and skip the massive workspace.
First see what’s huge:
du -h -d 1 ~/.openclaw | sort -h
Then make a thin copy excluding workspace/logs/caches:
REPRO=/tmp/openclaw-state-repro
rm -rf "$REPRO"
mkdir -p "$REPRO"
rsync -a \
--exclude 'workspace' \
--exclude 'logs' \
--exclude 'node_modules' \
--exclude '.cache' \
--exclude 'cache' \
~/.openclaw/ "$REPRO/"
If you don’t have rsync:
REPRO=/tmp/openclaw-state-repro
rm -rf "$REPRO"
mkdir -p "$REPRO"
tar -C ~/.openclaw \
--exclude='./workspace' \
--exclude='./logs' \
--exclude='./node_modules' \
--exclude='./.cache' \
--exclude='./cache' \
-cf - . | tar -C "$REPRO" -xf -
Then run:
OPENCLAW_STATE_DIR="$REPRO" \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --port 18889
Probe:
OPENCLAW_STATE_DIR="$REPRO" \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
If this thin repro still hangs, great — we avoided the huge workspace and still captured the bug. If it doesn’t hang, then the issue may involve workspace/session/memory indexing, and we’ll add pieces back one at a time.
is a symlink approach going to work as well?
Yes — symlink approach can work, and it’s a good fit here. I’d do a hybrid: real-copy the small state/config files, symlink the huge workspace only if needed.
Start with no workspace symlink first:
REPRO=/tmp/openclaw-state-repro
rm -rf "$REPRO"
mkdir -p "$REPRO"
rsync -a \
--exclude 'workspace' \
--exclude 'logs' \
--exclude 'node_modules' \
--exclude '.cache' \
--exclude 'cache' \
~/.openclaw/ "$REPRO/"
Test that. If it doesn’t reproduce and you suspect workspace/memory indexing, add workspace as a symlink:
ln -s ~/.openclaw/workspace "$REPRO/workspace"
Then rerun gateway with:
OPENCLAW_STATE_DIR="$REPRO" \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --port 18889
Caveat: symlinking means the repro gateway can touch the real workspace, so avoid this if you’re worried about writes. For pure diagnosis it’s usually okay, but the safer first test is excluding workspace entirely.
wait i deleted my biggest folder. i can copy stuff now with no storage problems. lets start over with no storage concern
Perfect. Start clean and controlled:
0) Stop all gateways
openclaw gateway stop
sleep 3
pgrep -af 'openclaw.*gateway|openclaw-gateway' || true
ss -lptn 'sport = :18789 or sport = :18889'
If anything still listens on 18789/18889, stop before continuing.
1) Clean baseline
rm -rf /tmp/openclaw-clean-test
OPENCLAW_STATE_DIR=/tmp/openclaw-clean-test \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --allow-unconfigured --port 18889 --token clean-test-token
In another terminal:
openclaw gateway probe --url ws://127.0.0.1:18889 --token clean-test-token --timeout 15000
Expected: reachable + read probe ok. Then Ctrl+C the clean gateway.
2) Full real-state repro copy
rm -rf /tmp/openclaw-state-repro
cp -a ~/.openclaw /tmp/openclaw-state-repro
Run copied state:
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --port 18889
Probe before Discord:
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
3) Trigger
Send exactly one Discord message to your bot, then probe again:
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
If it breaks after the message, grab:
LOG="$(ls -t /tmp/openclaw/openclaw-*.log | head -1)"
tail -n 300 "$LOG"
ps -L -p "$(pgrep -n openclaw-gateway)" -o pid,tid,stat,pcpu,pmem,comm | sort -k4 -nr | head -20
Key: keep the normal gateway stopped during this, so the Discord token isn’t connected twice.
1: Gateway Status
Reachable: yes
Capability: read-only
Probe budget: 15000ms
Discovery (this machine)
Found 0 gateways via Bonjour (local.)
Tip: if the gateway is remote, mDNS won’t cross networks; use Wide-Area Bonjour (split DNS) or SSH tunnels.
Targets
URL (explicit) ws://127.0.0.1:18889
Connect: ok (126ms) · Capability: read-only · Read probe: ok
Gateway: novia (10.2.9.46) · linux 7.0.0-14-generic · app 2026.4.26
Wide-area discovery: unknown
Local loopback ws://127.0.0.1:18789
Connect: failed - connect ECONNREFUSED 127.0.0.1:18789 · Capability: unknown
Great — step 1 passes. Clean baseline is healthy.
Now Ctrl+C that clean gateway, then do step 2 exactly:
rm -rf /tmp/openclaw-state-repro
cp -a ~/.openclaw /tmp/openclaw-state-repro
Start copied real state:
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
OPENCLAW_LOG_LEVEL=debug \
OPENCLAW_DIAGNOSTICS="*" \
openclaw gateway run --port 18889
Then, before sending any Discord message:
OPENCLAW_STATE_DIR=/tmp/openclaw-state-repro \
openclaw gateway probe --url ws://127.0.0.1:18889 --timeout 15000
Paste that result. This tells us if the copied state is already broken at startup or only breaks after Discord inbound.
do you know that openclaw bots dont see other discord bot messages? @wary gulch
Yep — by default OpenClaw’s Discord channel drops bot-authored messages. That’s intentional to avoid bot loops.
There is a config option though:
{
channels: {
discord: {
allowBots: "mentions"
}
}
}
Options are basically:
allowBots: false // default: ignore bot messages
allowBots: "mentions" // allow bot messages only if they mention this bot
allowBots: true // allow all bot messages
I’d strongly recommend "mentions" over true, otherwise two bots can get into a reply loop. Also OpenClaw always ignores its own bot messages either way.
tell that to your admins cause you didnt see the mesage above