#Error (Krill)

1 messages · Page 1 of 1 (latest)

azure swiftBOT Apr 27, 2026, 8:49 PM

To help others find answers, you can mark your question as solved via Right click solution message -> Apps -> ✅ Mark Solution

spice orioleBOT Apr 27, 2026, 8:49 PM

That warning means the agent repeated the same exec tool call 10 times. The loop detector is doing its job and telling the agent to stop instead of burning tokens forever.

First thing: can you paste:

openclaw --version
openclaw status --all

Also include ~20 log lines before this warning if you can.

This is usually not a config/auth issue by itself — it’s a symptom that the agent got stuck polling or retrying the same shell command. If it’s blocking the session, try starting a fresh session or restarting the gateway:

openclaw gateway restart

Docs: https://docs.openclaw.ai/help/faq and https://docs.openclaw.ai/tools/loop-detection

umbral glen Apr 27, 2026, 8:51 PM

02:39:01 [ws] unauthorized conn=983e6a73-b2d6-4752-9b6b-e49421be13db peer=127.0.0.1:4533->127.0.0.1:18789 remote=127.0.0.1 client=openclaw-control-ui webchat vcontrol-ui role=operator scopes=5 auth=token device=yes platform=Win32 instance=52d251cb-9086-4774-a5ff-18ac9ded18ae host=127.0.0.1:18789 origin=http://127.0.0.1:18789 ua=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36 Edg/147.0.0.0 reason=token_mismatch
02:39:01 [ws] closed before connect conn=983e6a73-b2d6-4752-9b6b-e49421be13db peer=127.0.0.1:4533->127.0.0.1:18789 remote=127.0.0.1 fwd=n/a origin=http://127.0.0.1:18789 host=127.0.0.1:18789 ua=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36 Edg/147.0.0.0 code=1008 reason=unauthorized: gateway token mismatch (open the dashboard URL and paste the token in Control UI settings)

spice orioleBOT Apr 27, 2026, 8:51 PM

Yep, this new log is the real problem:

unauthorized: gateway token mismatch

Your Control UI/WebChat is connecting with a stale or wrong gateway token.

Try this:

openclaw dashboard

Open the URL it prints/opens — don’t use an old bookmark/tab. Then in the dashboard go to:

Control → Overview → Gateway Access

Paste the current token into Gateway Token and click Connect. If you need to fetch it manually:

openclaw config get gateway.auth.token

Don’t paste that token here publicly.

If it still fails after that:

openclaw doctor
openclaw status --all

And please still paste:

openclaw --version

Docs: https://docs.openclaw.ai/web/dashboard#if-you-see-unauthorized--1008

umbral glen Apr 27, 2026, 10:06 PM

05:03:40 [agent/embedded] embedded run agent end: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 isError=true model=mistral-large-latest provider=mistral error=⚠️ API rate limit reached. Please try again later. rawError=429 status code (no body)
05:03:46 [agent/embedded] embedded run agent end: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 isError=true model=mistral-large-latest provider=mistral error=⚠️ API rate limit reached. Please try again later. rawError=429 status code (no body)
05:03:54 [agent/embedded] embedded run agent end: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 isError=true model=mistral-large-latest provider=mistral error=⚠️ API rate limit reached. Please try again later. rawError=429 status code (no body)
05:04:05 [agent/embedded] embedded run agent end: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 isError=true model=mistral-large-latest provider=mistral error=⚠️ API rate limit reached. Please try again later. rawError=429 status code (no body)
05:04:05 [agent/embedded] auth profile failure state updated: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 profile=sha256:ba66926173d7 provider=mistral reason=rate_limit window=cooldown reused=false
05:04:05 [agent/embedded] embedded run failover decision: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 stage=assistant decision=rotate_profile reason=rate_limit from=mistral/mistral-large-latest profile=sha256:ba66926173d7 rawError=429 status code (no body)
05:05:38 [agent/embedded] embedded run agent end: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 isError=true model=mistral-large-latest provider=mistral error=⚠️ API rate limit reached. Please try again later. rawError=429 status code (no body)
05:05:43 [agent/embedded] embedded run agent end: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 isError=true model=mistral-large-latest provider=mistral error=⚠️ API rate limit reached. Please try again later. rawError=429 status code (no body)
05:05:51 [agent/embedded] embedded run agent end: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 isError=true model=mistral-large-latest provider=mistral error=⚠️ API rate limit reached. Please try again later. rawError=429 status code (no body)
05:06:03 [agent/embedded] embedded run agent end: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 isError=true model=mistral-large-latest provider=mistral error=⚠️ API rate limit reached. Please try again later. rawError=429 status code (no body)
05:06:03 [agent/embedded] auth profile failure state updated: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 profile=sha256:d737a41e2019 provider=mistral reason=rate_limit window=cooldown reused=false
05:06:03 [agent/embedded] embedded run failover decision: runId=e75416c8-0c75-416e-9704-5dc6a6a95fc5 stage=assistant decision=rotate_profile reason=rate_limit from=mistral/mistral-large-latest profile=sha256:d737a41e2019 rawError=429 status code (no body)

saya sudah menambahkan 6 key api untuk mistral

spice orioleBOT Apr 27, 2026, 10:07 PM

Log ini menunjukkan OpenClaw sudah melihat beberapa API key dan sedang rotate auth profile:

decision=rotate_profile reason=rate_limit

Jadi masalahnya kemungkinan bukan “key tidak terbaca”, tapi Mistral mengembalikan 429 rate limit. Kalau 6 key itu dari account/org/project yang sama, biasanya quota/rate limit tetap shared — menambah key tidak otomatis menambah kapasitas.

Yang saya sarankan:

Cek versi dulu:
```
openclaw --version
```
Cek status model/auth:
```
openclaw models status
```

   openclaw status --all

Jangan paste API key-nya, cukup output yang sudah redacted.

Solusi praktis:
- tunggu cooldown Mistral selesai, atau
- naikkan quota/plan di Mistral, atau
- set fallback ke provider/model lain supaya OpenClaw tidak terus mentok di Mistral.

Kamu juga bisa pakai /model status dan /model list di chat untuk lihat kandidat model yang tersedia.

Docs: https://docs.openclaw.ai/concepts/model-failover
Untuk rekomendasi model/provider paling fresh, tanya juga di #models.

umbral glen Apr 27, 2026, 10:09 PM

PS C:\Users\rakha christian> openclaw models status

Config : ~.openclaw\openclaw.json
Agent dir : ~.openclaw\agents\main\agent
Default : mistral/mistral-large-latest
Fallbacks (0) : -
Image model : -
Image fallbacks (0): -
Aliases (1) : Mistral -> mistral/mistral-large-latest
Configured models (2): mistral/mistral-large-latest, mistral/codestral-latest

Auth overview
Auth store : ~.openclaw\agents\main\agent\auth-profiles.json
Shell env : off
Providers w/ OAuth/tokens (0): -

mistral effective=profiles:~.openclaw\agents\main\agent\auth-profiles.json | profiles=6 (oauth=0, token=0, api_key=6) | mistral:1=0kpQxmWz...kw4NCpkX, mistral:2=OvSXOBgf...qOG8T1Uz, mistral:3=zB1abKiQ...Eo0MmJzv, mistral:4=JBc4LH2y...krSHL0jl, mistral:5=yCveRksJ...1Zo6VLqQ, mistral:6=Eom75VDu...yuUJHBuO

OAuth/token status

none
PS C:\Users\rakha christian> openclaw status --all

OpenClaw status --all

│ Version │ 2026.4.23 │
│ OS │ windows 10.0.26200 (x64) │
│ Node │ 24.15.0 │
│ Config │ ~.openclaw\openclaw.json │
│ Dashboard │ http://127.0.0.1:18789/ │
│ Tailscale │ off │
│ Channel │ stable (default) │
│ Update │ pnpm · npm update 2026.4.25 │
│ Gateway │ local · ws://127.0.0.1:18789 (local loopback) · reachable 76ms · auth token · DESKTOP-412MC3Q (192.168.2.19) app 2026.4.23 windows 10.0.26200 │
│ Security │ Run: openclaw security audit --deep │
│ Gateway self │ unknown │
│ Gateway service │ Scheduled Task installed · registered · running (pid 6272, Startup-folder login item installed; listener detected on port 18789.) │
│ Node service │ Scheduled Task not installed │
│ Agents │ 1 total · 0 bootstrapping · 1 active · 11 sessions │
│ Secrets │ none

spice orioleBOT Apr 27, 2026, 10:10 PM

Bagus, ini sudah jelas:

6 Mistral API key terbaca ✅
Masalahnya: semua key tetap kena 429 rate limit
Fallbacks (0) artinya OpenClaw tidak punya model/provider lain untuk kabur saat Mistral rate-limited
mistral/codestral-latest memang configured, tapi belum jadi fallback

Coba ini:

openclaw update
openclaw doctor
openclaw gateway restart

Lalu tambahkan fallback:

openclaw models fallbacks add mistral/codestral-latest

Tapi kalau rate limit Mistral shared di akun/org yang sama, Codestral bisa tetap kena. Solusi lebih kuat: tambah provider lain lewat:

openclaw configure --section model

lalu set fallback ke provider itu:

openclaw models fallbacks add <provider/model>

Untuk cek key secara live:

openclaw models status --probe

Dan setelah itu mulai session baru dengan /new atau /reset, supaya session lama yang sudah stuck/rate-limited tidak lanjut muter.

umbral glen Apr 27, 2026, 10:48 PM

PS C:\Users\rakha christian> openclaw skills run polymarket-command-center trending
error: too many arguments for 'skills'. Expected 0 arguments but got 3.

spice orioleBOT Apr 27, 2026, 10:49 PM

openclaw skills run ... memang bukan command yang valid.

CLI openclaw skills dipakai untuk install/list/info/check, bukan menjalankan skill langsung.

Pakai begini:

openclaw skills install polymarket-command-center
openclaw skills check
openclaw skills info polymarket-command-center

Lalu jalankan skill dari chat/OpenClaw, bukan PowerShell:

/skill polymarket-command-center trending

Kalau direct command skill-nya terdaftar, bisa juga muncul sebagai slash command sendiri, tapi generic yang aman adalah /skill <name> <input>.

Karena kamu masih di 2026.4.23 dan ada update 2026.4.25, saya juga sarankan:

openclaw update
openclaw gateway restart

Docs: https://docs.openclaw.ai/cli/skills and https://docs.openclaw.ai/tools/slash-commands#dynamic-skill-commands

umbral glen Apr 27, 2026, 11:10 PM

polymarket-command-center
polymarket-analysis
polymarket-arbitrage
polymarket-alpha-suite

buatkan saya framework system trading automation polymarket dengan skill dan resource file dari skills2 tersebut. gunakan analisis dan pemahaman secara mendalam untuk saya berikan ke openclaw

spice orioleBOT Apr 27, 2026, 11:11 PM

Bisa. Ini framework yang bisa kamu copy ke OpenClaw sebagai instruksi utama. Catatan penting: pakai paper/simulation dulu, dan jangan izinkan agent trade real-money tanpa approval manual.

Dari skill yang kamu sebut:

polymarket-command-center = data/read-only: trending, odds, search, watchlist, tanpa API key. (clawhub.ai)
polymarket-analysis = read-only analysis: pair-cost arbitrage, whale tracking, sentiment, momentum, user profile tracking, no execution. (clawhub.ai)
polymarket-arbitrage = deteksi math arbitrage, terutama probability-sum arbitrage, dengan scripts seperti fetch_markets.py, detect_arbitrage.py, dan monitor.py. (clawhub.ai)
polymarket-alpha-suite saya hanya temukan di mirror/SkillsMP, bukan hasil ClawHub resmi di pencarian tadi; jadi verifikasi isi skill sebelum dipakai. Mirror itu menyebut scanner seperti negrisk_scanner.cjs, latency_arb.cjs, universe_scanner.cjs, dan export JSON seperti data/polymarket_universe.json / data/edge_opportunities.json. (skillsmp.com)

Framework untuk OpenClaw

Kamu adalah Polymarket Trading Research & Automation Framework.

Tujuan utama:

ClawHub

Polymarket Analysis — ClawHub

Analyze Polymarket prediction markets for trading edges. Pair Cost arbitrage, whale tracking, sentiment analysis, momentum signals, user profile tracking. No execution.

SkillsMP

polymarket-alpha-suite - Agent Skill by openclaw | SkillsMP

6 institutional-grade Polymarket trading tools. NegRisk arbitrage (100% win rate), latency arb, BTC scalping, alpha scanner, un... 4312 stars | by openclaw

Membangun sistem analisis, scoring, paper-trading, dan proposal trade Polymarket menggunakan skill:
- polymarket-command-center
- polymarket-analysis
- polymarket-arbitrage
- polymarket-alpha-suite

Mode default: READ-ONLY + PAPER TRADING.
Jangan pernah melakukan real-money trade, transfer wallet, approve contract, atau menyimpan private key tanpa instruksi eksplisit dari user.

Prinsip:
1. Compliance first:
   - Jangan bantu bypass geo/blocking/aturan platform.
   - Jangan trading jika user tidak berhak menggunakan Polymarket di yurisdiksinya.
2. Safety first:
   - Semua order real-money wajib butuh approval manual.

   - Jangan gunakan private key dari chat.
   - Jangan expose API key, wallet key, atau seed phrase.
3. Analysis before action:
   - Gunakan minimal 3 sinyal independen sebelum membuat proposal trade.
   - Jika data bertentangan, tulis “NO TRADE”.
4. Risk capped:
   - Max risk per idea: 0.5%–1% bankroll.
   - Max daily loss: 2% bankroll.
   - Max open exposure per category: 10% bankroll.
   - Hindari market dengan liquidity rendah, spread lebar, atau rules ambiguous.
5. Auditability:
   - Semua signal, score, proposal, paper order, dan keputusan disimpan ke journal.

Resource file 1 — `risk_policy.json`

{
  "mode": "paper",
  "real_money_requires_manual_approval": true,
  "bankroll_usdc": 1000,
  "max_risk_per_trade_pct": 0.75,
  "max_daily_loss_pct": 2.0,
  "max_market_exposure_pct": 3.0,
  "max_category_exposure_pct": 10.0,
  "min_liquidity_usdc": 25000,
  "min_24h_volume_usdc": 5000,
  "max_spread_pct": 4.0,
  "min_edge_pct": 3.0,
  "min_confidence_score": 70,

  "kelly_fraction_cap": 0.15,
  "blacklist_categories": ["ambiguous_resolution", "low_liquidity", "unclear_source"],
  "allowed_actions": {
    "scan": true,
    "analyze": true,
    "paper_trade": true,
    "real_trade": false,
    "cancel_orders": false,
    "wallet_actions": false
  }
}

Resource file 2 — `signal_schema.json`

{
  "signal_id": "uuid",
  "timestamp_utc": "ISO-8601",
  "market_slug": "string",
  "market_question": "string",
  "category": "politics|crypto|sports|economics|other",
  "source_skills": [
    "polymarket-command-center",
    "polymarket-analysis",
    "polymarket-arbitrage",
    "polymarket-alpha-suite"
  ],
  "market_data": {
    "yes_price": 0.0,
    "no_price": 0.0,

    "liquidity_usdc": 0,
    "volume_24h_usdc": 0,
    "spread_pct": 0,
    "close_date": "ISO-8601"
  },
  "signals": {
    "arbitrage_edge_pct": 0,
    "momentum_score": 0,
    "whale_score": 0,
    "sentiment_score": 0,
    "latency_or_stale_price_score": 0,
    "resolution_clarity_score": 0
  },
  "decision": {
    "score": 0,

    "rating": "NO_TRADE|WATCH|PAPER_TRADE|PROPOSAL_ONLY",
    "reason": "string",
    "suggested_side": "YES|NO|NONE",
    "suggested_entry_price": 0.0,
    "suggested_max_size_usdc": 0.0
  }
}

Resource file 3 — `strategy_registry.json`

  "strategies": [
    {
      "id": "math_arbitrage",
      "enabled": true,
      "primary_skill": "polymarket-arbitrage",
      "entry_conditions": [
        "probability_sum_edge_pct >= 3",
        "liquidity_usdc >= 25000",
        "spread_pct <= 4"
      ],
      "exit_conditions": [
        "edge_closed",
        "resolution_risk_increased",
        "daily_loss_limit_hit"
      ],

      "risk_weight": 0.35
    },
    {
      "id": "momentum_repricing",
      "enabled": true,
      "primary_skill": "polymarket-analysis",
      "entry_conditions": [
        "momentum_score >= 75",
        "volume_24h_usdc >= 10000",
        "news_or_data_catalyst_confirmed == true"
      ],
      "risk_weight": 0.2
    },
    {
      "id": "whale_follow_validation",

      "enabled": true,
      "primary_skill": "polymarket-analysis",
      "entry_conditions": [
        "whale_score >= 80",
        "not_late_to_move == true",
        "spread_pct <= 4"
      ],
      "risk_weight": 0.15
    },
    {
      "id": "alpha_suite_edge",
      "enabled": true,
      "primary_skill": "polymarket-alpha-suite",
      "entry_conditions": [
        "edge_score >= 75",

        "signal_age_minutes <= 15",
        "liquidity_usdc >= 25000"
      ],
      "risk_weight": 0.2
    },
    {
      "id": "watchlist_monitor",
      "enabled": true,
      "primary_skill": "polymarket-command-center",
      "entry_conditions": [
        "watchlist_market_moved_pct >= 5",
        "new_information_detected == true"
      ],
      "risk_weight": 0.1
    }

]
}

Workflow automation

Every scan cycle:

1. DISCOVER
   - Run trending/search/watchlist from polymarket-command-center.
   - Pull candidate markets from configured watchlist and trending categories.

2. ENRICH
   - For each candidate, collect odds, volume, liquidity, close date, spread.
   - Reject market if rules are unclear, liquidity too low, or close date too soon.

3. ANALYZE
   - Run polymarket-analysis for momentum, whale, sentiment, and profile signals.
   - Run polymarket-arbitrage for math arbitrage.
   - Run polymarket-alpha-suite only after verifying installed files are safe.

4. SCORE
   Score = weighted combination:
   - arbitrage edge: 30%
   - liquidity/spread quality: 20%
   - momentum/whale/sentiment confirmation: 25%
   - resolution clarity: 15%

   - time-to-resolution suitability: 10%

5. DECIDE
   - Score < 50: NO_TRADE
   - 50–69: WATCH
   - 70–84: PAPER_TRADE
   - 85+: PROPOSAL_ONLY, ask user before real trade

6. PAPER TRADE
   - Record hypothetical entry, size, thesis, invalidation, exit plan.
   - Never execute real trade in default mode.

7. REPORT
   - Produce concise report:
     - Top 5 opportunities

     - Rejected markets and why
     - Portfolio exposure
     - Daily P&L paper
     - Risk-limit status

Command untuk install/check

openclaw skills search polymarket
openclaw skills install polymarket-command-center
openclaw skills install polymarket-analysis
openclaw skills install polymarket-arbitrage