2026-06-16 11:49 — Investigating Causes of Server Stress

Investigating Causes of Server Stress

Session log · 2026-06-16 11:49 → 2026-06-17 12:14

📊 Session Stats

🔧 Tools Used

• terminal ×27
• execute_code ×15
• web_search ×6
• read_file ×6
• web_extract ×2
• search_files ×2
• skill_view ×1
• patch ×1

💬 Key Exchanges

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The server was stressed at 9:10 a.m. and 11:20 a.m. today find out why

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I need more context to help you with this. Could you please tell me:

1. What kind of server are you referring to? (e.g., a web server, a database server, a specific application server).
2. What logs should I be looking at? (e.g., access logs, error logs, system logs, application logs).
3. What systems or services were running on the server?

Once I have this information, I can help you formulate a plan to investigate the cause of the stress at those specific times.

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Also why does it not fall back to groq.

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Please provide more context or clarify your question. "It" is ambiguous, and I don't know what you are referring to when you say "it does not fall back."

Are you referring to:

1. A specific piece of code or system behavior? (If so, please provide the code or the description of the system.)
2. An error message you received? (If so, please provide the message.)
3. A comparison between different models or APIs? (If so, please specify which ones.)
4. **A capability I mentioned p...

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What llms are set up for Hermes right now

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Alright, Omair, I've got the scoop on your Hermes LLM setup!

• For our general chat and most tasks, you're running with glm-5.1 from a custom provider (Z.AI, specifically). That's me!
• When Hermes needs to do some fancy context compression or visual analysis, it switches over to gemini-2.5-flash via the gemini provider.

As for your earlier question about why it doesn't fall back to Groq, it's because Groq isn't currently configured as one of your providers. If it's not in the c...

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Hello. Check if glm 5.2 is live now and switch to it if it is live and working fine ?

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Let me check if GLM-5.2 is available on the Z.AI API.

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Good news, Omair! GLM-5.2 is live and working on Z.AI — I just tested it with a direct API call and got a clean response.

Even better: your config is already set to glm-5.2 (looks like it was updated at some point). The reason this session is still reporting glm-5.1 is simply because the current Hermes session was started before the config change. A restart of the Hermes daemon will pick it up:

sudo systemctl restart hermes

So you're already future-proofed — no config changes n...

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How will GLM 5.2 be different for Hermes than GLM 5.1

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Here's what changes for Hermes with GLM-5.2 vs 5.1:

1. Context Window: 200K → 1M tokens (5x bigger) This is the big one for Hermes. Currently if we have a really long session, context compression kicks in around 50% of the 200K window. With 1M tokens, I can hold ~5x more conversation history, tool outputs, and file contents before needing to compress. That means fewer lost details in marathon sessions and less time spent on compression calls.

**2. Two thinking-effort levels (High / Max)...

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Do 1m and validate

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The [1m] syntax isn't recognized on this API endpoint — that was for the Anthropic-compatible endpoint. Let me find the right model identifier for the OpenAI-compatible path.

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None of the 1M variants work on the OpenAI-compatible endpoint. Let me check the docs and available models list.

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The [1m] suffix is a Claude Code-only thing — it's not recognized on the OpenAI-compatible endpoint Hermes uses. But here's the good news: on the /api/coding/paas/v4 endpoint, glm-5.2 already natively supports 1M context. The client just needs to know the window size.

Let me check Hermes' context window config and set it properly.

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Found it — Hermes has a model.context_length setting. The model name stays glm-5.2 (the [1m] is Claude Code only), but I need to tell Hermes the context window is 1M.

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Now let me validate the whole thing end-to-end — API call with GLM-5.2 + config correctness:

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All done, Omair. Here's the rundown:

Config updated: - Model: glm-5.2 (already was) - Context length: 1000000 (newly added)

Validated: - API responds correctly to glm-5.2 on your Z.AI endpoint - Model returned clean content ("Hello.") with proper reasoning support

Key insight: The [1m] suffix is a Claude Code convention only — it doesn't work on the OpenAI-compatible endpoint Hermes uses. Instead, the 1M context is native to glm-5.2 itself; you just tell Hermes the wi...

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How else can we restart the gateway from WhatsApp

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Just type /restart right here in WhatsApp. That's the gateway slash command — it restarts the Hermes gateway service without you needing to SSH in or use any other platform.

Other options from WhatsApp:

• /update — restarts as part of updating Hermes to latest
• /new or /reset — starts a fresh session (picks up config changes like the new model), but doesn't restart the gateway process itself

For the model/context_length change, /reset alone won't fully do it since those are read...

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Confirm the size of the context window with some query

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Boom. Definitively confirmed. 🎯

I generated a ~840K-character payload (738,110 actual tokens per the API's own counter), stuck a unique marker ("SQUIRREL-7749-BANANA") at the very start, buried it under 12,000 lines of padding, then asked GLM-5.2 to recall it.

It nailed it in one shot: - 738,110 prompt tokens accepted — that's 3.7x GLM-5.1's 200K ceiling, would have been flatly rejected - Correctly recalled text from the start of a 738K-token context - 44 seconds response time - Finished cl...

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Yes

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I can't restart it from inside the running gateway process — that's a safety guard against restart loops. You'll need to do it yourself.

Just type /restart right here in WhatsApp. That's the cleanest way — it restarts the gateway process and the next session will pick up GLM-5.2 with the 1M context window. 🙂

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Could you confirm the fallback path for the LLM that is currently set up with her niece is it GLM followed by Gemini followed by groc and followed by olama

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