#Move Bot from PC to VPS
1 messages · Page 1 of 1 (latest)
Yep â safest migration is: stop old Gateway â copy the whole ~/.openclaw state â restore on VPS â run doctor â start Gateway.
First, on the PC, please check:
openclaw --version
openclaw status
Then migration outline:
openclaw gateway stop
cd ~
tar -czf openclaw-state.tgz .openclaw
Copy that archive to the Hetzner VPS, then on the VPS:
tar -xzf openclaw-state.tgz
openclaw doctor
openclaw gateway restart
openclaw status
Important bits:
- Donât copy only
openclaw.jsonâ copy the entire state dir so auth, channels, sessions, memory, and workspace survive. - Keep the old PC Gateway stopped, or both machines may answer messages.
- If using Docker on Hetzner, restore to
/root/.openclawand then usually run:chown -R 1000:1000 /root/.openclaw
- Access the VPS dashboard safely via SSH tunnel:
then openssh -N -L 18789:127.0.0.1:18789 root@YOUR_VPS_IPhttp://127.0.0.1:18789/.
Docs:
- https://docs.openclaw.ai/install/migrating
- https://docs.openclaw.ai/install/hetzner
- https://docs.openclaw.ai/platforms/linux
If you paste your PC OS, OpenClaw version, and whether you want Docker or normal Node install, I can tailor the exact command list.
Getting errorCode=INVALID_REQUEST errorMessage=invalid channels.start channel when WhatsApp tries to start. Plugin is in plugins.allow, credentials are saved, but WhatsApp never starts. OpenClaw 2026.4.27 on Docker/Hetzner
That exact error usually means the running Gateway doesnât have the WhatsApp channel registered, not that the WhatsApp credentials are bad.
On Docker/Hetzner Iâd do this from the repo/compose dir:
docker compose run --rm openclaw-cli plugins list --enabled --verbose
docker compose run --rm openclaw-cli plugins install @openclaw/whatsapp
docker compose run --rm openclaw-cli plugins enable whatsapp
docker compose restart openclaw-gateway
docker compose run --rm openclaw-cli channels status --probe
Also double-check the allowlist uses the plugin id, not the npm package name:
plugins: {
allow: ["whatsapp"]
}
not:
plugins: {
allow: ["@openclaw/whatsapp"]
}
Why: channels.start normalizes against the live plugin/channel registry. If the plugin was installed/enabled after the Gateway already started, or installed into a different Docker/state volume, the live Gateway still sees whatsapp as invalid.
If it still fails after the restart, paste:
docker compose run --rm openclaw-cli plugins list --json
docker compose run --rm openclaw-cli channels status --json
docker compose logs --tail=200 openclaw-gateway
Docs: https://docs.openclaw.ai/channels/whatsapp and https://docs.openclaw.ai/cli/plugins
okay - just a side qustion mac mini vs VPS?
For your current WhatsApp-on-Docker/Hetzner setup: VPS wins.
Use VPS if you want:
- 24/7 uptime without worrying about home power/internet
- cheap, predictable hosting
- Docker/Linux deployment
- WhatsApp / Telegram / Discord / web chat
- easy remote access and backups
Hetzner-style small cloud boxes are meant for this: scalable, hourly/monthly billing, and small CX-class servers are already enough for lightweight Gateway use. (hetzner.com)
Use a Mac mini if you need:
- macOS-only stuff: iMessage, Apple Notes, Reminders, local Mac apps
- browser automation with your real desktop profiles
- local/private files staying at home
- more local compute than a tiny VPS
The M4 Mac mini is powerful for the money â Apple lists it from $599 with 16GB memory â but itâs still your responsibility to keep it powered, online, updated, and reachable. (apple.com)
Best hybrid setup: Gateway on VPS, Mac mini as a home node later if you need Mac-only tools.
So my recommendation: keep moving to Hetzner now, especially since youâre already using Docker/WhatsApp. Add Mac mini only if you specifically need Apple/macOS integrations. đŠ
Fresh install on Hetzner/Docker following the official guide. OpenClaw 2026.4.27. WhatsApp plugin is in plugins.allow and we ran plugins install @openclaw/whatsapp + plugins enable whatsapp, but gateway always starts with only memory-core (1 plugin). WhatsApp never loads. Error when trying to start: errorCode=INVALID_REQUEST errorMessage=invalid channels.start channel. How do we get WhatsApp to actually load on startup?
Yep â the missing piece is likely channel config, not plugin install.
For WhatsApp, plugins.allow / plugins enable whatsapp only says âthis plugin is trusted/enabled.â It does not by itself make the Gateway load the WhatsApp channel on startup. WhatsApp has to be present under channels.whatsapp with a real config key.
Run this in the Docker compose dir:
docker compose run --rm openclaw-cli config set --batch-json '[
{"path":"channels.whatsapp.dmPolicy","value":"pairing"},
{"path":"channels.whatsapp.groupPolicy","value":"allowlist"}
]'
docker compose run --rm openclaw-cli doctor --fix
docker compose restart openclaw-gateway
docker compose run --rm openclaw-cli channels status --probe
If you use a custom Hetzner compose file, also make sure both openclaw-gateway and openclaw-cli share this:
environment:
OPENCLAW_PLUGIN_STAGE_DIR: /var/lib/openclaw/plugin-runtime-deps
volumes:
- openclaw-plugin-runtime-deps:/var/lib/openclaw/plugin-runtime-deps
and at the bottom:
volumes:
openclaw-plugin-runtime-deps:
Then check logs:
docker compose logs --tail=200 openclaw-gateway
After this, channels.start whatsapp should stop saying invalid channels.start channel because the live Gateway should actually have the WhatsApp channel registered.
Docs:
https://docs.openclaw.ai/channels/whatsapp
https://docs.openclaw.ai/install/docker
Roger receives WhatsApp messages (logs show Inbound message +4550487590 -> +4529721420) but never replies. No error in logs after inbound message. Config: dmPolicy=open, allowFrom=[*], groupPolicy=open, model=custom-api-deepseek-com/deepseek-chat. What's missing?
That log line means WhatsApp is working now â access control + inbound handling already passed. The missing piece is almost certainly the model/agent reply path, not WhatsApp.
Run these in the Docker compose dir:
docker compose run --rm openclaw-cli models status --probe
docker compose run --rm openclaw-cli agent --local --agent main -m "Reply with exactly PONG."
If the agent --local test does not return PONG, fix the model config/auth first. Common Docker gotcha: the custom API key env var exists on your shell but not inside the Gateway container. Check without printing the secret:
docker compose exec openclaw-gateway sh -lc 'test -n "$CUSTOM_API_KEY" && echo CUSTOM_API_KEY=present || echo CUSTOM_API_KEY=missing'
Also verify the custom provider shape:
- provider config under
models.providers.<provider-id> - provider
apishould match the endpoint, usuallyopenai-completionsfor/v1/chat/completions - model entry id is provider-local, not prefixed
agents.defaults.model.primaryis<provider-id>/<model-id>
If agent --local works, then check whether the WhatsApp run is being silent/empty:
docker compose run --rm openclaw-cli logs --limit 500 --plain
One more note: if this is actually a group, groupPolicy: "open" only opens sender access â group replies still require a mention by default.
Docs:
https://docs.openclaw.ai/concepts/models
https://docs.openclaw.ai/gateway/config-tools#custom-providers-and-base-urls
https://docs.openclaw.ai/channels/whatsapp
ser dette rigtigt ud? {
"custom-api-deepseek-com": {
"baseUrl": "https://api.deepseek.com/v1",
"apiKey": "OPENCLAW_REDACTED",
"api": "openai-completions",
"models": [
{
"id": "deepseek-chat",
"name": "DeepSeek V4 Flash",
"input": [
"text"
],
"contextWindow": 1000000,
"maxTokens": 32768,
"reasoning": false,
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"api": "openai-completions"
}
]
}
}
Ja â nĂŠsten rigtigt.
Det skal ligge under models.providers. Som fuld config-form:
{
models: {
providers: {
"custom-api-deepseek-com": {
baseUrl: "https://api.deepseek.com/v1",
apiKey: "DIN_RIGTIGE_KEY",
api: "openai-completions",
models: [
{
id: "deepseek-chat",
name: "DeepSeek V4 Flash",
input: ["text"],
contextWindow: 1000000,
maxTokens: 32768,
reasoning: false,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }
}
]
}
}
},
agents: {
defaults: {
model: {
primary: "custom-api-deepseek-com/deepseek-chat"
}
}
}
}
To smÄ noter:
apiinde i selve model-entry kan fjernes; provider-levelapi: "openai-completions"er nok.- DeepSeek siger nu, at
deepseek-chater en compatibility alias for non-thinkingdeepseek-v4-flashog bliver deprecated senere, sÄ hvis du vil vÊre mere fremtidssikker, brugid: "deepseek-v4-flash"ogprimary: "custom-api-deepseek-com/deepseek-v4-flash". (api-docs.deepseek.com)
Hvis WhatsApp stadig ikke svarer, sÄ nÊste test er:
docker compose run --rm openclaw-cli models status --probe
docker compose run --rm openclaw-cli agent --local --agent main -m "Reply with exactly PONG."
Hvis den ikke siger PONG, er problemet model/auth â ikke WhatsApp.
Direct DeepSeek API call works fine (returns PONG in <1s). But agent --local hangs indefinitely. WhatsApp receives messages but Roger never replies. What's blocking the agent path?
That means DeepSeek itself is fine. Whatâs blocking is the OpenClaw agent runtime path â usually one of these:
- custom provider route hanging on OpenClawâs streamed/tool-capable agent request
- bad container workspace path/permissions
- Gateway using different env/config than your direct API test
For DeepSeek, Iâd stop using the custom custom-api-deepseek-com route and use the built-in deepseek provider, because it has DeepSeek-specific handling.
Paste this as one block, replacing the key:
cd /root/openclaw
# Put the key where the Docker gateway can read it
grep -q '^DEEPSEEK_API_KEY=' /root/.openclaw/.env 2>/dev/null \
&& sed -i 's/^DEEPSEEK_API_KEY=.*/DEEPSEEK_API_KEY=YOUR_DEEPSEEK_KEY_HERE/' /root/.openclaw/.env \
|| printf '\nDEEPSEEK_API_KEY=YOUR_DEEPSEEK_KEY_HERE\n' >> /root/.openclaw/.env
# Use the built-in DeepSeek provider, not the generic custom API provider
docker compose run --rm openclaw-cli config set agents.defaults.model.primary "deepseek/deepseek-v4-flash"
docker compose run --rm openclaw-cli config set agents.defaults.workspace "~/.openclaw/workspace"
# Make sure container-owned state/workspace is writable
mkdir -p /root/.openclaw/workspace
chown -R 1000:1000 /root/.openclaw
docker compose restart openclaw-gateway
sleep 5
docker compose run --rm openclaw-cli models status --probe
docker compose run --rm openclaw-cli agent --local --agent main --timeout 60 -m "Reply with exactly PONG." --json
If that still hangs, paste the last ~100 gateway log lines after running the test:
docker compose logs --tail=100 openclaw-gateway
Key point: a direct DeepSeek curl only proves the API key/base URL works. It doesnât test OpenClawâs full agent request path.
Fresh Docker install on Hetzner. Everything works except agent doesn't reply. Status:
WhatsApp: receives messages â
DeepSeek direct curl: returns PONG in <1s â
agent --local command: hangs forever â
DEEPSEEK_API_KEY is now in container env â
agents.defaults.model.primary = deepseek/deepseek-v4-flash
What exact commands do we run next to get the agent replying?
The next move is to remove variables: kill any stuck one-off agent containers, switch to the simpler non-thinking DeepSeek model, disable TTY for the test, and force a timeout so it canât hang forever.
Run this whole block from /root/openclaw:
cd /root/openclaw
# Stop gateway + any stuck one-off compose containers from previous agent --local tests
docker compose down --remove-orphans
# Conservative model path: DeepSeek Chat, thinking off, sane timeout, Docker-safe workspace
docker compose run --rm -T openclaw-cli config set --batch-json '[
{"path":"agents.defaults.model.primary","value":"deepseek/deepseek-chat"},
{"path":"agents.defaults.thinkingDefault","value":"off"},
{"path":"agents.defaults.timeoutSeconds","value":60},
{"path":"agents.defaults.workspace","value":"~/.openclaw/workspace"},
{"path":"logging.level","value":"debug"}
]'
mkdir -p /root/.openclaw/workspace
chown -R 1000:1000 /root/.openclaw
# Start fresh
docker compose up -d openclaw-gateway
sleep 10
# Confirm auth/model from OpenClaw's point of view
docker compose run --rm -T openclaw-cli models status --probe
# Test embedded agent path, but NEVER let it hang forever
timeout 90 docker compose run --rm -T openclaw-cli agent --local --agent main --model deepseek/deepseek-chat --thinking off --timeout 60 -m "Reply with exactly PONG." --json
# Test gateway-backed agent path too
timeout 90 docker compose run --rm -T openclaw-cli agent --agent main --model deepseek/deepseek-chat --thinking off --timeout 60 -m "Reply with exactly PONG." --json
# If either timed out, this is the useful evidence
docker compose logs --tail=250 openclaw-gateway
If both tests return PONG, WhatsApp should start replying on the next message.
If either command exits with 124, thatâs a real timeout â paste the models status --probe result and the last 250 gateway log lines. The key change above is -T plus timeout, so we can tell whether this is Docker TTY weirdness, model runtime, or Gateway dispatch.
models status --probe hangs forever. docker compose run --rm -T openclaw-gateway node dist/index.js models status --probe never returns. Same with agent --local. Direct DeepSeek curl works fine. What's causing the hang?
That hang is not DeepSeek itself. models status --probe uses the same embedded agent runner as agent --local, so if both hang, we need to split raw model path vs full agent path.
Run this exact block:
cd /root/openclaw
docker compose up -d openclaw-gateway
# 1) Prove config loads and raw OpenClaw model inference works/fails
timeout 20 docker compose exec -T -e OPENCLAW_NO_RESPAWN=1 openclaw-gateway node dist/index.js config validate
timeout 45 docker compose exec -T -e OPENCLAW_NO_RESPAWN=1 openclaw-gateway node dist/index.js infer model run \
--local \
--model deepseek/deepseek-chat \
--prompt "Reply with exactly PONG." \
--json
timeout 45 docker compose exec -T -e OPENCLAW_NO_RESPAWN=1 openclaw-gateway node dist/index.js infer model run \
--gateway \
--model deepseek/deepseek-chat \
--prompt "Reply with exactly PONG." \
--json
# 2) Strip the full agent path down to minimum viable reply mode
docker compose exec -T -e OPENCLAW_NO_RESPAWN=1 openclaw-gateway node dist/index.js config set --batch-json '[
{"path":"agents.defaults.model.primary","value":"deepseek/deepseek-chat"},
{"path":"agents.defaults.thinkingDefault","value":"off"},
{"path":"agents.defaults.timeoutSeconds","value":60},
{"path":"agents.defaults.startupContext.enabled","value":false},
{"path":"agents.defaults.memorySearch.enabled","value":false},
{"path":"tools.profile","value":"minimal"},
{"path":"plugins.slots.contextEngine","value":"legacy"}
]'
docker compose restart openclaw-gateway
sleep 10
# 3) Test a brand-new session so old stuck WhatsApp/main session state cannot block it
timeout 90 docker compose exec -T -e OPENCLAW_NO_RESPAWN=1 openclaw-gateway node dist/index.js agent \
--local \
--agent main \
--session-id "smoke-local-$(date +%s)" \
--model deepseek/deepseek-chat \
--thinking off \
--timeout 60 \
-m "Reply with exactly PONG." \
--json
timeout 90 docker compose exec -T -e OPENCLAW_NO_RESPAWN=1 openclaw-gateway node dist/index.js agent \
--agent main \
--session-id "smoke-gateway-$(date +%s)" \
--model deepseek/deepseek-chat \
--thinking off \
--timeout 60 \
-m "Reply with exactly PONG." \
--json
docker compose logs --tail=250 openclaw-gateway
Interpretation:
- If
infer model run --localhangs â config/provider runtime is hanging before the full agent. - If infer works but agent hangs â full agent context/tools/memory/session path is blocking.
- If the smoke agent returns
PONG, send/newto Roger on WhatsApp, then test a normal message.
"Ran the exact block. Results:
config validate â Config valid â
infer model run --local â Error: gateway closed (1006 abnormal closure) â bind is loopback, not lan
infer model run --gateway â skipped (gateway not ready yet)
7 config paths updated â
Gateway restarting but stuck installing chokidar@^5.0.0 every time
Gateway logs show it keeps trying to install chokidar on every startup and gets killed by SIGTERM before finishing. Is the plugin-runtime-deps volume not persisting between restarts?"
Yes â either the volume is not mounted where OPENCLAW_PLUGIN_STAGE_DIR points, or the install is being interrupted before it can write the completed deps.
chokidar@^5.0.0 is from memory-core, so this is core plugin runtime-deps staging. It should install once and then persist in openclaw-plugin-runtime-deps.
Run this exact block â importantly, do not restart/stop while doctor --fix is running:
cd /root/openclaw
# Add an override that forces the runtime-deps dir into a named Docker volume
cat > docker-compose.override.yml <<'YAML'
services:
openclaw-gateway:
environment:
OPENCLAW_PLUGIN_STAGE_DIR: /var/lib/openclaw/plugin-runtime-deps
OPENCLAW_NO_RESPAWN: "1"
volumes:
- openclaw-plugin-runtime-deps:/var/lib/openclaw/plugin-runtime-deps
openclaw-cli:
environment:
OPENCLAW_PLUGIN_STAGE_DIR: /var/lib/openclaw/plugin-runtime-deps
OPENCLAW_NO_RESPAWN: "1"
volumes:
- openclaw-plugin-runtime-deps:/var/lib/openclaw/plugin-runtime-deps
volumes:
openclaw-plugin-runtime-deps:
YAML
# Stop gateway so it doesn't fight the deps installer
docker compose stop openclaw-gateway
# Verify the named volume persists across one-off containers
docker compose run --rm --no-deps -T openclaw-gateway sh -lc '
echo "stage=$OPENCLAW_PLUGIN_STAGE_DIR"
mkdir -p "$OPENCLAW_PLUGIN_STAGE_DIR"
touch "$OPENCLAW_PLUGIN_STAGE_DIR/.persist-test"
ls -ld "$OPENCLAW_PLUGIN_STAGE_DIR"
'
docker compose run --rm --no-deps -T openclaw-gateway sh -lc '
test -f "$OPENCLAW_PLUGIN_STAGE_DIR/.persist-test" && echo "runtime-deps volume persists â
" || echo "runtime-deps volume missing â"
'
# Let OpenClaw install bundled runtime deps once. Do NOT interrupt this.
timeout 900 docker compose run --rm --no-deps -T openclaw-gateway node dist/index.js doctor --fix
# Confirm chokidar is now staged
docker compose run --rm --no-deps -T openclaw-gateway sh -lc '
find "$OPENCLAW_PLUGIN_STAGE_DIR" -path "*/node_modules/chokidar/package.json" -print -quit
'
# Start clean
docker compose up -d --force-recreate openclaw-gateway
sleep 20
docker compose logs --tail=200 openclaw-gateway
If doctor --fix exits 124, it timed out â increase 900 to 1800 and run it again.
If the persist test says missing, Compose is not using the override/main compose you think it is.
Also: avoid docker compose down -v â -v deletes the named volume and forces reinstall again.
Got error: service 'openclaw-cli' has neither an image nor a build context specified: invalid compose project. The override file adds an openclaw-cli service but our main docker-compose.yml doesn't have that service defined. How do we fix the override to only extend openclaw-gateway?
Yep â your compose only has openclaw-gateway, so remove the openclaw-cli override entirely.
Run this replacement block:
cd /root/openclaw
cat > docker-compose.override.yml <<'YAML'
services:
openclaw-gateway:
environment:
OPENCLAW_PLUGIN_STAGE_DIR: /var/lib/openclaw/plugin-runtime-deps
OPENCLAW_NO_RESPAWN: "1"
volumes:
- openclaw-plugin-runtime-deps:/var/lib/openclaw/plugin-runtime-deps
volumes:
openclaw-plugin-runtime-deps:
YAML
docker compose config >/tmp/compose-rendered.yml && echo "compose ok â
"
docker compose stop openclaw-gateway
docker compose run --rm --no-deps -T openclaw-gateway sh -lc '
echo "stage=$OPENCLAW_PLUGIN_STAGE_DIR"
mkdir -p "$OPENCLAW_PLUGIN_STAGE_DIR"
touch "$OPENCLAW_PLUGIN_STAGE_DIR/.persist-test"
ls -ld "$OPENCLAW_PLUGIN_STAGE_DIR"
'
docker compose run --rm --no-deps -T openclaw-gateway sh -lc '
test -f "$OPENCLAW_PLUGIN_STAGE_DIR/.persist-test" && echo "runtime-deps volume persists â
" || echo "runtime-deps volume missing â"
'
timeout 900 docker compose run --rm --no-deps -T openclaw-gateway node dist/index.js doctor --fix
docker compose run --rm --no-deps -T openclaw-gateway sh -lc '
find "$OPENCLAW_PLUGIN_STAGE_DIR" -path "*/node_modules/chokidar/package.json" -print -quit
'
docker compose up -d --force-recreate openclaw-gateway
sleep 20
docker compose logs --tail=200 openclaw-gateway
That keeps the named volume and env only on openclaw-gateway, so Compose wonât try to create a missing openclaw-cli service.
Got: Timed out waiting for bundled runtime deps lock. Error says: remove the lock directory and retry. Lock is at /var/lib/openclaw/plugin-runtime-deps/openclaw-2026.4.27-f53b52ad6d21/.openclaw-runtime-deps.lock. What's the exact command to remove it and retry?
Yep â stop the gateway first so nothing is holding the lock, remove only that lock directory, then rerun doctor.
cd /root/openclaw
docker compose stop openclaw-gateway
docker compose run --rm --no-deps -T openclaw-gateway sh -lc '
rm -rf /var/lib/openclaw/plugin-runtime-deps/openclaw-2026.4.27-f53b52ad6d21/.openclaw-runtime-deps.lock
echo "lock removed â
"
'
timeout 1800 docker compose run --rm --no-deps -T openclaw-gateway node dist/index.js doctor --fix
docker compose up -d --force-recreate openclaw-gateway
sleep 20
docker compose logs --tail=200 openclaw-gateway
Donât use docker compose down -v here â that would delete the runtime-deps volume and force all deps to reinstall.
chokidar installed â , gateway ready with memory-core + whatsapp â , messages turn blue (read) â , but Roger still never replies. What's next?
Good â runtime deps are fixed. Blue ticks only prove WhatsApp received + marked read. Now we need to see whether the agent produces a reply, goes silent, or is still stuck.
Run this as one block:
cd /root/openclaw
# Reset any stuck in-memory run
docker compose restart openclaw-gateway
sleep 20
# Smoke-test the agent with a brand-new session
timeout 120 docker compose exec -T openclaw-gateway node dist/index.js agent \
--local \
--agent main \
--session-id "smoke-$(date +%s)" \
--model deepseek/deepseek-chat \
--thinking off \
--timeout 90 \
-m "Reply with exactly PONG." \
--json
# Now send a NEW WhatsApp DM: "ping"
# Then immediately inspect only useful log lines
sleep 10
docker compose logs --tail=400 openclaw-gateway | grep -Ei \
'Inbound message|inbound web message|auto-reply sent|Skipping auto-reply|silent token|failed handling inbound|agent.*error|turn failed|deepseek|timeout|processing|message_completed|message_error'
Interpretation:
- If smoke test returns
PONGbut WhatsApp doesnât: send/stop, then/new, thenpingin WhatsApp.
- If logs show
Skipping auto-reply: silent token or no text/media: model is returning empty/NO_REPLY. - If logs show
inbound web messagebut noauto-reply sent: agent path is still hanging/failing. - If logs only show
Inbound messagebut notinbound web message: WhatsApp is reading it before the auto-reply handler gets to dispatch.
Paste the smoke-test output and the filtered log lines.
Smoke test output: agent command returned nothing (no PONG, no error, just empty). Log grep shows:
[gateway] agent model: deepseek/deepseek-chat
[whatsapp] Listening for personal WhatsApp inbound messages
[whatsapp] Inbound message +4550487590 -> +4529721420 (direct, 59 chars)
No inbound web message, no auto-reply sent, no Skipping auto-reply. Message is received but nothing happens after. Smoke test with --local also returned nothing.
Weâre past WhatsApp now. The important clue is: agent --local returns empty too. So next is to capture the exit code + file logs, because Docker logs are too high-level here.
Run this exact block:
cd /root/openclaw
# Make logs more useful
docker compose exec -T openclaw-gateway node dist/index.js config set logging.level debug
docker compose restart openclaw-gateway
sleep 20
# 1) Test raw model path again now that deps are fixed
echo "=== RAW INFER LOCAL ==="
timeout 90 docker compose exec -T openclaw-gateway node dist/index.js infer model run \
--local \
--model deepseek/deepseek-chat \
--prompt "Reply with exactly PONG." \
--json
echo "infer_local_exit=$?"
# 2) Test full agent path, capture exit code
echo "=== AGENT LOCAL ==="
timeout 120 docker compose exec -T openclaw-gateway node dist/index.js agent \
--local \
--agent main \
--session-id "smoke-debug-$(date +%s)" \
--model deepseek/deepseek-chat \
--thinking off \
--timeout 90 \
-m "Reply with exactly PONG." \
--json
echo "agent_local_exit=$?"
# 3) Show recent session/task state
echo "=== SESSIONS ==="
docker compose exec -T openclaw-gateway node dist/index.js sessions --json | tail -c 12000
echo "=== TASKS ==="
docker compose exec -T openclaw-gateway node dist/index.js tasks list --json | tail -c 12000
# 4) File logs, not just docker logs
echo "=== FILE LOGS ==="
docker compose exec -T openclaw-gateway sh -lc '
ls -lah /tmp/openclaw || true
tail -n 300 "$(ls -t /tmp/openclaw/openclaw-*.log 2>/dev/null | head -1)"
' | grep -Ei 'smoke-debug|agent|deepseek|model|inbound web message|Inbound message|auto-reply|No reply|silent|timeout|error|failed|exception|processing|message_completed|message_error|provider'
What weâre looking for:
infer_local_exit=0+ PONG â DeepSeek/OpenClaw raw model path is OK.agent_local_exit=124â full agent path is hanging.agent_local_exit=0but empty payload / âNo replyâ â model produced silence or reply got filtered.- File logs should show the actual failure; Docker logs wonât always show it.
Paste the exits + filtered file log.
Results:
infer_local_exit=124 (timeout)
agent_local_exit=124 (timeout)
Key log lines:
Message IS being queued and processed: session state: prev=idle new=processing reason=message_start
[hooks] running before_agent_reply (1 handlers, first-claim wins) â then nothing after
codex app-server stderr: Codex could not find bubblewrap on PATH
WhatsApp reconnect 408 timeout
It seems the agent hangs at before_agent_reply hook. Also seeing Codex/bubblewrap error. Is bubblewrap required? And what plugin is registering the before_agent_reply hook that might be blocking?
Bubblewrap is not required for WhatsApp + DeepSeek. Itâs only relevant if the Codex app-server runtime/plugin is being started. So seeing codex app-server ... bubblewrap in this setup is a red flag: something Codex-related is still enabled or selected.
The before_agent_reply hook is likely from either:
memory-coredreaming hook â stock/bundled, but should only handle heartbeat/cron- a Codex/app-server plugin or runtime override â suspicious here
Run this block to inspect + force the normal Pi runtime and disable Codex/acpx for now:
cd /root/openclaw
echo "=== WHO HAS before_agent_reply HOOKS ==="
docker compose exec -T openclaw-gateway node dist/index.js plugins inspect --all | grep -B6 -A8 -Ei 'before_agent_reply|codex|acpx|memory-core' || true
echo "=== AGENT RUNTIME CONFIG ==="
docker compose exec -T openclaw-gateway node dist/index.js config get agents --json | grep -Ei 'agentRuntime|codex|acpx|openai-codex' || true
echo "=== FORCE NORMAL PI RUNTIME + DISABLE CODEX/ACPX ==="
docker compose exec -T openclaw-gateway node dist/index.js config set --batch-json '[
{"path":"agents.defaults.agentRuntime","value":{"id":"pi","fallback":"pi"}},
{"path":"agents.defaults.model.primary","value":"deepseek/deepseek-chat"},
{"path":"agents.defaults.thinkingDefault","value":"off"},
{"path":"plugins.entries.codex.enabled","value":false},
{"path":"plugins.entries.openclaw-codex-app-server.enabled","value":false},
{"path":"plugins.entries.acpx.enabled","value":false}
]'
docker compose restart openclaw-gateway
sleep 20
echo "=== SMOKE TEST ==="
timeout 120 docker compose exec -T openclaw-gateway node dist/index.js agent \
--local \
--agent main \
--session-id "smoke-pi-$(date +%s)" \
--model deepseek/deepseek-chat \
--thinking off \
--timeout 90 \
-m "Reply with exactly PONG." \
--json
echo "exit=$?"
echo "=== FILTERED LOGS ==="
docker compose logs --tail=300 openclaw-gateway | grep -Ei 'before_agent_reply|codex|bubblewrap|deepseek|No reply|PONG|agent.*error|timeout|message_error|message_completed|auto-reply|Inbound message'
If that returns PONG, then test WhatsApp again with /new then ping.
If Codex still appears after this, there is probably a per-agent override in agents.list[] or an external plugin still loaded; paste the AGENT RUNTIME CONFIG and WHO HAS before_agent_reply HOOKS output.
smoke test exit=130 (killed by Ctrl+C, not timeout). Filtered logs show:
agent model: deepseek/deepseek-chat â
Inbound message +4550487590 -> +4529721420 â
plugins.entries.openclaw-codex-app-server: plugin not found (stale config entry ignored)
No before_agent_reply, no auto-reply sent, no PONG, no errors after inbound message. Agent just silently hangs. What next?
At this point WhatsApp and hooks are not the root cause. Since infer model run --local also times out, the hang is in the OpenClaw model streaming path before the normal agent reply can finish.
Next: test DeepSeek streaming from inside the same container. Direct non-streaming curl is not enough.
cd /root/openclaw
echo "=== 1) Direct DeepSeek STREAMING curl from inside container ==="
docker compose exec -T openclaw-gateway sh -lc '
rm -f /tmp/deepseek-stream.out
timeout 30 curl -N -sS https://api.deepseek.com/v1/chat/completions \
-H "Authorization: Bearer $DEEPSEEK_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"model\":\"deepseek-chat\",\"stream\":true,\"max_tokens\":8,\"messages\":[{\"role\":\"user\",\"content\":\"Reply with exactly PONG.\"}]}" \
| tee /tmp/deepseek-stream.out
echo
echo "stream_curl_exit=$?"
grep -q "\\[DONE\\]" /tmp/deepseek-stream.out && echo "stream_done=yes â
" || echo "stream_done=no â"
'
echo "=== 2) OpenClaw raw model run, force timeout ==="
timeout 90 docker compose exec -T openclaw-gateway node dist/index.js infer model run \
--local \
--model deepseek/deepseek-chat \
--prompt "Reply with exactly PONG." \
--json
echo "openclaw_infer_exit=$?"
echo "=== 3) Last useful logs ==="
docker compose logs --tail=300 openclaw-gateway | grep -Ei \
'deepseek|model_call|provider|stream|agent model|timeout|error|failed|exception|message_completed|message_error|before_agent_reply|auto-reply|Inbound message'
Interpretation:
- If
stream_done=no: DeepSeek non-stream works, but streaming is hanging from the VPS/container. That explains OpenClaw. - If
stream_done=yesbutopenclaw_infer_exit=124: likely OpenClaw DeepSeek streaming/provider bug/regression in this version/config. - If OpenClaw infer finally returns
PONG: then restart gateway and test WhatsApp again with/newthenping.
Paste those three outputs. The important line is stream_done=yes/no.
Results:
stream_done=yes â
â DeepSeek streaming works fine from container
openclaw_infer_exit=124 â OpenClaw infer still hangs
New error in logs:
Timed out waiting for bundled runtime deps lock at .openclaw-runtime-mirror.lock â different lock than before (mirror vs runtime-deps). Both memory-core and whatsapp fail with this.
Is there a stale .openclaw-runtime-mirror.lock that needs to be removed like the previous lock?
Yes â same idea, but remove all stale OpenClaw lock dirs after stopping the gateway.
Run:
cd /root/openclaw
# Stop anything that could be holding the runtime-deps/mirror locks
docker compose stop openclaw-gateway
# Remove stale lock dirs only
docker compose run --rm --no-deps -T openclaw-gateway sh -lc '
echo "stage=$OPENCLAW_PLUGIN_STAGE_DIR"
find "$OPENCLAW_PLUGIN_STAGE_DIR" \
\( -name ".openclaw-runtime-deps.lock" -o -name ".openclaw-runtime-mirror.lock" \) \
-type d -print -exec rm -rf {} +
echo "locks removed â
"
'
# Repair/install deps without interruption
timeout 1800 docker compose run --rm --no-deps -T openclaw-gateway node dist/index.js doctor --fix
# Verify no locks remain
docker compose run --rm --no-deps -T openclaw-gateway sh -lc '
find "$OPENCLAW_PLUGIN_STAGE_DIR" \
\( -name ".openclaw-runtime-deps.lock" -o -name ".openclaw-runtime-mirror.lock" \) \
-type d -print
'
# Restart
docker compose up -d --force-recreate openclaw-gateway
sleep 30
docker compose logs --tail=200 openclaw-gateway
If the verify step prints nothing, locks are gone.
Still: do not use docker compose down -v â that deletes the named deps volume and restarts the whole install cycle.
Locks removed, doctor --fix complete, gateway ready with memory-core + whatsapp, WhatsApp connected. Messages turn blue but Roger still doesn't reply. openclaw infer model run --local still exits 124. DeepSeek streaming curl works fine. What's blocking OpenClaw's own model path?
Yes â now itâs narrowed down: WhatsApp is fine, DeepSeek network is fine, but OpenClawâs provider runtime is hanging before it completes the model call.
Next Iâd force the DeepSeek provider metadata explicitly, especially the /v1 base URL and small output cap, then test again.
Run:
cd /root/openclaw
# Stop gateway while changing model provider config
docker compose stop openclaw-gateway
# Force DeepSeek provider to the exact endpoint that curl proved works
docker compose run --rm --no-deps -T openclaw-gateway node dist/index.js config set models.providers.deepseek '{
"baseUrl": "https://api.deepseek.com/v1",
"api": "openai-completions",
"timeoutSeconds": 60,
"models": [
{
"id": "deepseek-chat",
"name": "DeepSeek Chat",
"input": ["text"],
"contextWindow": 131072,
"maxTokens": 64,
"reasoning": false,
"cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
"compat": {
"supportsUsageInStreaming": true,
"maxTokensField": "max_tokens"
}
}
]
}' --strict-json --replace
docker compose run --rm --no-deps -T openclaw-gateway node dist/index.js config set --batch-json '[
{"path":"agents.defaults.model.primary","value":"deepseek/deepseek-chat"},
{"path":"agents.defaults.thinkingDefault","value":"off"},
{"path":"agents.defaults.timeoutSeconds","value":90}
]'
docker compose up -d --force-recreate openclaw-gateway
sleep 20
echo "=== OpenClaw raw model test ==="
timeout 90 docker compose exec -T openclaw-gateway node dist/index.js infer model run \
--local \
--model deepseek/deepseek-chat \
--prompt "Reply with exactly PONG." \
--json
echo "infer_exit=$?"
echo "=== Agent smoke test ==="
timeout 120 docker compose exec -T openclaw-gateway node dist/index.js agent \
--local \
--agent main \
--session-id "smoke-deepseek-fixed-$(date +%s)" \
--model deepseek/deepseek-chat \
--thinking off \
--timeout 90 \
-m "Reply with exactly PONG." \
--json
echo "agent_exit=$?"
docker compose logs --tail=250 openclaw-gateway | grep -Ei 'deepseek|api.deepseek|model|PONG|No reply|timeout|error|failed|exception|Inbound message|auto-reply'
If infer_exit=0 and you see PONG, then send /new on WhatsApp and try ping.
If it still times out, the next suspect is an OpenClaw/DeepSeek provider runtime regression in 2026.4.27, because plain streaming curl works but OpenClawâs own model runner does not.
vi lukker trÄden det gik helt galt... jeg sletter alt og forsÞger at geninstallere og starter ny trÄd
Ăv, fair nok â den her trĂ„d blev for rodet. Start en ny trĂ„d med frisk install, sĂ„ tager vi den fra nul med fĂŠrre ĂŠndringer ad gangen.
NÄr du starter ny trÄd, sÄ lÊg gerne kun dette ind fÞrst:
openclaw --version
docker compose config | sed -n '1,160p'
docker compose logs --tail=120 openclaw-gateway
Og skriv kort:
- Hetzner VPS / Docker
- hvilken channel du vil have fĂžrst: WhatsApp
- hvilken model/provider du vil bruge
SĂ„ holder vi det helt simpelt. đŠ
men inden jeg gÞr det... jeg har slettet alt indhold pÄ men server (VPS) - og sÄ har jeg installeret Claude Code pÄ min VPS - kan det vÊre til gavn - jeg har brugt 15 timer forgÊves indtil nu...
Ja, Claude Code kan vĂŠre til gavn â men jeg ville ikke bruge det som selve OpenClaw-runtime lige nu.
Brug det som en âlokal teknikerâ pĂ„ VPSâen til at lĂŠse filer/logs og fĂžlge docs. Hold selve OpenClaw-setupâet sĂ„ simpelt som muligt:
- Fresh VPS
- Docker/Compose
- OpenClaw Gateway
- én model/provider
- ingen Codex/acpx/Claude-runtime fĂžrst
Claude Code kan hjĂŠlpe med at kontrollere compose-filer og logs, men lad det ikke âoptimereâ eller blande ekstra runtime ind.
Hvis du vil bruge Claude Code, sÄ giv den en stram prompt som:
Help me set up OpenClaw on this Hetzner VPS using the official Docker guide only.
Do not invent config keys.
Do not add Codex/acpx/Claude runtime.
Goal: OpenClaw Gateway + WhatsApp + one model provider.
Use docker compose.
Ensure OPENCLAW_PLUGIN_STAGE_DIR uses a Docker named volume at /var/lib/openclaw/plugin-runtime-deps.
After each step, run a small verification command and stop if it fails.
Og ja â efter 15 timer ville jeg starte helt forfra. Ikke fordi du er tĂŠt pĂ„ at âgive opâ, men fordi den gamle state nu er forurenet af for mange forsĂžg. Fresh install + Ă©n ĂŠndring ad gangen er hurtigere her.
ja, jeg skal lige sĂŠtte nogle ting op fĂžrst.. er det noget med at OpenClaw findes som en slags APP eller frontend som gĂžr det nemmere for mig at overskue hvad der sker? eller skal jeg kĂžrer det hele i terminaler?
Ja â der er en browser-frontend, sĂ„ du behĂžver ikke kĂžre alt i terminalen.
Den hedder typisk Control UI / Dashboard. Den kĂžrer pĂ„ Gatewayâen og Ă„bnes i browseren. PĂ„ en VPS skal du normalt bruge SSH tunnel:
ssh -N -L 18789:127.0.0.1:18789 root@DIN_VPS_IP
SÄ Äbner du pÄ din egen computer:
http://127.0.0.1:18789/
Der kan du se/chatte med agenten, ĂŠndre noget config, se channel-status osv. Det er meget nemmere end kun terminal.
Hvis du kÞrer Docker, kan du ogsÄ fÄ dashboard-linket med:
docker compose run --rm openclaw-cli dashboard --no-open
Men: Control UI er admin-overflade, sÄ lad den ikke stÄ offentligt Äben pÄ internettet. Brug SSH tunnel eller Tailscale.
Der findes ogsÄ macOS app / companion apps, men til din Hetzner VPS er browser-dashboard + terminal til installation den mest realistiske start.
er det her en god promte til claude code? "Help me set up OpenClaw on this Hetzner VPS using the official Docker guide only.
Follow this guide exactly: https://docs.openclaw.ai/install/hetzner
Do not invent config keys.
Do not add Codex/acpx/Claude runtime.
Goal: OpenClaw Gateway + WhatsApp + one model provider (custom-api-deepseek-com).
Use docker compose.
Ensure OPENCLAW_PLUGIN_STAGE_DIR uses a Docker named volume at /var/lib/openclaw/plugin-runtime-deps.
After each step, run a small verification command and stop if it fails."
Ja â den er god. Jeg ville bare ĂŠndre model-linjen: brug helst den indbyggede deepseek provider fĂžrst, ikke custom-api-deepseek-com. FĂŠrre moving parts.
Kopiér evt. denne til Claude Code:
Help me set up OpenClaw on this fresh Hetzner VPS using the official Docker guide only.
Official docs:
- https://docs.openclaw.ai/install/hetzner
- https://docs.openclaw.ai/install/docker
- https://docs.openclaw.ai/channels/whatsapp
- https://docs.openclaw.ai/providers/deepseek
Rules:
- Do not invent config keys.
- Do not add Codex, acpx, Claude runtime, or extra plugins.
- Use docker compose only.
- Goal: OpenClaw Gateway + WhatsApp + one model provider.
- Prefer the built-in DeepSeek provider using DEEPSEEK_API_KEY and model deepseek/deepseek-chat.
- Ensure OPENCLAW_PLUGIN_STAGE_DIR uses a Docker named volume mounted at /var/lib/openclaw/plugin-runtime-deps.
- Do not use docker compose down -v.
- After each step, run one small verification command and stop if it fails.
- If something fails, show the exact command, exact error, and the smallest next diagnostic.
- Keep changes minimal and explain before destructive actions.
Start by checking OS, Docker, docker compose, Node/OpenClaw repo state, then follow the Hetzner Docker guide.
Det er en bedre âstyringâ af Claude Code. Den vigtigste del er: ingen Codex/acpx/Claude runtime og ingen custom provider fĂžr basic setup virker.
der er et eller andet der virker nu, ok men ikke fedt... sidste spÞrgsmpk for i dag. kan min bot komme til at svarer lige sÄ hutig med sammenligning kvalitet pÄ VPS som da han var pÄ min pc?
Ja â det kan godt blive nĂŠsten lige sĂ„ hurtigt og samme kvalitet, men kun hvis setupâet er rent og samme model/config bruges.
Kort sagt:
- Kvalitet: ja, samme model + samme prompts/persona/memory = samme kvalitet.
- Hastighed: ja, ofte tĂŠt pĂ„ PCâen, fordi DeepSeek/OpenAI/Anthropic kĂžrer i skyen alligevel. VPSâen skal mest bare sende/vente/modtage.
- Men: en lille VPS kan fĂžles langsommere hvis Docker/runtime deps/plugins hĂŠnger, workspace er rodet, eller gateway lige er startet.
For bedst resultat pÄ VPS:
- Brug én modelprovider fÞrst.
- Hold plugins minimale: WhatsApp + memory-core.
- Brug builtin DeepSeek provider fĂžr custom provider.
- SĂžrg for Gateway altid kĂžrer varmt â ikke starte/stoppe hele tiden.
- Brug Dashboard/WhatsApp til normal brug, ikke
docker compose runsom benchmark. - Hvis du vil have samme âpersonlighedâ, kopier kun workspace-filer som
AGENTS.md,SOUL.md,MEMORY.mdosv. â ikke hele gamle.openclaw.
Hvis din PC tidligere brugte en stĂŠrkere lokal opsĂŠtning, lokale filer eller browser-profiler, kan PCâen fĂžles bedre. Men for WhatsApp + cloud model bĂžr Hetzner VPS kunne blive helt fint.
Mit Êrlige rÄd efter i dag: fresh install, DeepSeek builtin, WhatsApp fÞrst, ingen ekstra runtime. SÄ kan vi optimere hastighed bagefter.
Men det jo netop en af de ting jeg vil have Roger til at vÊre konge over.. sine filer og filstruktruer hvor en masse arebejdsdokumnet ligger (word, excel, pdf, pp osv) - det fungere bedre pÄ pc?
Ja â til âkonge over mine filerâ fungerer PC/Mac ofte bedre end en ren VPS.
En VPS er god til:
- 24/7 WhatsApp/Telegram
- hurtige beskeder
- simple automations
- cloud-model adgang
Din PC er bedre til:
- Word/Excel/PowerPoint/PDF-filer der allerede ligger lokalt
- mapper, projekter og dokumentstruktur
- browser/profiler/logins
- lokale programmer
- filadgang uden at uploade alt til serveren
Bedste lĂžsning for dig er nok hybrid:
- VPS: Roger er online 24/7 og svarer pÄ WhatsApp.
- PC som node/arbejdsmaskine: nĂ„r Roger skal arbejde med dine filer, kĂžrer arbejdet pĂ„ PCâen hvor filerne faktisk ligger.
SĂ„ skal du ikke vĂŠlge enten/eller. VPSâen bliver âtelefonen/hjernen der altid er vĂ„genâ, og PCâen bliver âvĂŠrkstedet med alle dokumenterneâ.
Hvis du kun kĂžrer Roger pĂ„ VPSâen, skal du enten:
- flytte/synce alle dokumenter til VPSâen, eller
- mountâe cloud storage/OneDrive/Dropbox/Nextcloud, eller
- lade PCâen vĂŠre en connected node.
Til dit mĂ„l ville jeg ikke prĂžve at gĂžre VPSâen til hele din PC. Jeg ville bygge VPS + PC-node.
men har VPS ingen fordele???? hvis jeg kÞber en mini pc og sÊtter den inde pÄ arbjdet ved siden af det lynhuritge internet sÄ bliver det merer effektivt?
Jo â VPS har klare fordele. Det er bare ikke den bedste âfil-arbejdsmaskineâ, medmindre filerne ogsĂ„ bor der.
VPS er bedst til:
- 24/7 oppetid
- ingen afhĂŠngighed af din PC
- stabil WhatsApp/Telegram-bot
- nem adgang udefra
- backup/monitorering
- lav strĂžm/stĂžj/vedligehold
- offentlige webhooks/APIâer
Mini-PC pÄ arbejdet er bedst til:
- adgang til lokale arbejdsfiler
- Office/PDF/browser/profiler
- hurtigt LAN/internet
- mere kontrol end VPS
- kan vÊre 24/7 hvis den stÄr tÊndt
Hvis du kĂžber en mini-PC og sĂŠtter den pĂ„ hurtigt internet, kan det vĂŠre mere effektivt til dit mĂ„l end ren VPS â isĂŠr hvis den har adgang til alle dokumenterne.
Mit forslag:
Bedst/praktisk setup:
- VPS = Roger er altid online og modtager WhatsApp.
- Mini-PC/arbejds-PC node = Roger arbejder med filer, Office, PDFâer, mapper.
- Evt. OneDrive/SharePoint/Dropbox/Nextcloud = fĂŠlles filbro.
Hvis du kun vil have én maskine:
- vĂŠlg mini-PC hvis filer/Office er vigtigst.
- vĂŠlg VPS hvis 24/7 chat og stabil remote drift er vigtigst.
SĂ„ ja: VPS har fordele â men en mini-PC pĂ„ lynhurtigt internet kan vĂŠre bedre som Rogers âvĂŠrkstedâ.
hvad er best til telefoni med twilio, elevenlab, retell osv.. ogsÄ med tanker pÄ de updatedes der lige er kommet forleden i Openclaw
Ja â til telefoni har VPS faktisk en stor fordel.
Telefon/Twilio/Retell/ElevenLabs krĂŠver typisk:
- offentlig webhook URL
- stabil 24/7 drift
- lav netvĂŠrks-latency
- ingen Windows sleep/restart
- ikke afhĂŠngig af din kontor-PC
Der er VPS klart bedre end PC/mini-PC i mange tilfĂŠlde.
Min anbefaling:
Hvis du vil have nemmest telefoni hurtigt:
Brug Retell som fĂŠrdig telefon-agent platform.
Hvis du vil have Roger/OpenClaw som âhjernenâ med memory, filer, tools osv.:
Brug OpenClaw Voice Call plugin + Twilio pÄ VPS.
Hvis du vil have bedste stemmekvalitet:
Twilio = telefonlinjen
ElevenLabs = stemme/STT/TTS
OpenClaw = agent/hjerne/tools
SÄ tÊnk sÄdan:
Twilio = telefonnummer og opkald
ElevenLabs/OpenAI/Google = stemme og tale
OpenClaw = Roger, memory, tools, handlinger
VPS = stabil server der altid kan modtage opkald
PC/mini-PC = fil-vĂŠrksted/node