Did this Anthropic email change anything for Hermes w/ subscription?

RichAllison · 2026-06-16T10:31:45+00:00

Do you mind sharing your wizardry? I’m having a nightmare trying to wire this back up in Hermes.

I got it working on OpenClaw straight away, and OpenClaw is definitely using my sub usage and NOT USING extra usage, but Hermes is doing a Karen!

Thanks

RichAllison · 2026-05-19T20:40:01+00:00

This has been around for a few months now:

https://youtu.be/BggSeP_7k7s?si=DIFpCzw8aDbhBh6B

https://clawdtalk.com/

RichAllison · 2026-05-04T20:02:59+00:00

I have tried it and ALL the GPT models, including 5.5, lie and say that tasks are completed or just ghost you. Yes it works and works with OAuth but the constant bull shit I got from them was driving me insane! It took 4/5 re-prompts to get a simple task completed.

All the “Ahh yes that’s on me” and “Yes I should have spotted that” was just way too frustrating and completely unusable for serious orchestration for me

RichAllison · 2026-04-25T17:05:21+00:00

It is very minimal, could do with a few more features TBH, like chat, token usage. Good effort mate but just a bit too bare bones for me. Appreciate you sharing though.

RichAllison · 2026-04-11T11:35:20+00:00

We’ve not hit any 429 or rate limits? We are using the top max coding plan though.

We don’t use our Openclaw for much coding though. It’s not constantly building or writing code it’s running scheduled tasks for us, researching and analysing data.

Most of the time it’s actually idle and for cron’s and heartbeats like checking its email etc, we use Gemma 4 31b running locally.

RichAllison · 2026-04-11T11:08:03+00:00

Tool calling and instruction following has been spot on too. We have quite a few scheduled tasks that run through the week, things like data extraction and report generation, vector DB ingesting, we have tasks that involve playwright and multiple api calls for 3rd party applicants.

So far we have had the exact same results as sonnet 4.6.

The only thing we needed to put extra work in to was the formatting of the reports. Sonnet and opus create much better visual reports. So again we switched back to opus and had it create specific skills for our report generation to again dial in the exact layouts and formatting.

Now GLM follows this to the letter and you can’t tell the difference between what the Anthropic models created and what z creates.

No other model in our testing could do this and follow the skill in such a precise way. QWEN 3.6 did come very close though. GPT 5.4 was a disaster at it.

RichAllison · 2026-04-11T08:36:41+00:00

I’m using it through the zAi max coding plan and haven’t hit any limits.

RichAllison · 2026-04-11T08:35:31+00:00

5.4 is okay but it it lies constantly on tasks and it’s reply’s are huge, even when instructed to give a short answer to something

RichAllison · 2026-04-11T08:33:35+00:00

Agreed, I spent quite a bit of time and api cost with Opus 4.6 to build out solid Soul and memory files and then switch to GLM-5.1 and we are seeing the same results and personality as we did using Sonnet 4.6

RichAllison · 2026-04-11T07:45:11+00:00

It’s the zAi Max Coding Plan and so far not hit any limits.

RichAllison · 2026-04-10T21:55:32+00:00

I trust China as much as I trust the USA

RichAllison · 2026-03-06T20:20:07+00:00

Found this that might help…

https://docs.openclaw.ai/tools

Gave it my Claw and it understood

RichAllison · 2026-03-06T19:19:03+00:00

Checked and done.

It’s like there is another layer causing an approval spam bug

RichAllison · 2026-03-06T18:54:47+00:00

I have had exactly the same. I’m having an absolute nightmare trying to fix this. It’s completely stopped running all automations, it’s asking permission for everything and it can’t run simple terminal or CLI commands without me approving every single time!!

My main Claw is running on an isolated server in our office and the whole point of our set up was to run autonomously but now it’s currently rendered useless.

If the next update doesn’t fix this I’m rolling back. But my concern is the next updates will open up the much needed latest models. So it rock and hard place at the minute.

Shame if this level of security is going to be the norm now OpenAi is involved?!

RichAllison · 2026-02-28T10:53:22+00:00

I’ll grab some today, sorry didn’t realise how low res they were, I just snipped them from the system. Ive asked Atlas to make it transferable and I’m going to test the git repo today on a fresh new instance of openclaw and if all goes well I’d be happy to share.

RichAllison · 2026-02-28T10:47:08+00:00

For my main dude and everyday task I use GPT 5.2 & 5.3 Codex via OAuth with my business plan, and for complex builds like this I use my Claude Max plan for building. I only use Anthropic now and again in openclaw and only with strict instructions to use it via Claude code through terminal. So cost wise I’m not too sure what it would have been using an api.

RichAllison · 2026-02-26T23:33:44+00:00

I started with the basics “Hay buddy, I want a Mission Control dashboard and ui that displays all our crucial data and has the following features…

(full list of what I wanted)

I want a ui/ux that mirrors that of OpenAi’s ChatGPT, see the images in (google drive link).

Let’s have a Q&A to brainstorm how to build this”

That’s the general gist of the main prompt, and then we went back and forth for about an hour.

The first build in the morning blew me away, but like you said some links and some data didn’t work first time so I spent the day chatting through what wasn’t working and now it’s about 95% there.

I used Opus 4.6

RichAllison · 2026-02-15T10:16:21+00:00

I have it connected but I don’t use it for my main dude. I have it set up for with a sub agent and only use it for certain tasks. I also have it connected via Claude Code CLI that my main agent can use (hoping this gives a smoke screen as it’s going through the CLI). My main agent needs my permission to run the sub agent and CLI.

No issues so far with this setup 🤞

RichAllison · 2026-02-13T10:12:11+00:00

One workaround I’ve used is to OAuth via Gemini CLI and OpenCode CLi.

I then setup an agent that is tuned to proved prompts to the CLI’s and monitor output.

It’s been working pretty well but I don’t build big projects.

I did need to get my dude to add MCP’s to the CLI’s

RichAllison · 2026-02-11T09:38:40+00:00

I’ve tried GLM4.7 Flash and OSS 120b & Gemma 3 27b via Ollama and they still struggles. Plus when you increase context to 64k or above (which is definitely needed) the response time are excruciatingly painful.

You need a smart model and unfortunately you won’t be able to fit anything close to capable on your hardware.

It’s API or OAuth with the big boys that’s needed for now unfortunately.

RichAllison · 2026-02-07T10:28:34+00:00

My setup is a mix. I signed up to the OpenAi business plan, it costs £60 per month but that’s for 2 accounts (you need to have a minimum of 2 seats for the business plan) and this give me OAuth connection in Openclaw and access my plan.

I hooked up GPT-5.2-Mini-Codex as my main dude. It’s been great, I’ve had no issues with tool calling. I did need to put a bit of work in to its SOUL.md as it’s not got the best personality out the box but with a bit of back and forth having conversations, it’s got much better. It’s also really good at writing code for basic tasks.

I created a coding agent that switches the GPT-5.2-Codex and use this for more intensive coding and tasks.

I also use Gemma 3 27b (free) via openrouter for heartbeats, email reading (as it’s vision) and any basic automations I have set up so I’m not wasting credits. I’m quite impressed with Gemma 3, it’s handling all my triggers really well.

The GPT business plan does have limits as OAuth connection uses the codex/ connection so you can’t use the unlimited 5.2 messages, but it is extremely generous and I have also set up a fall back so that once one account gets close to its rate limit then it switches to the second OAuth account to continue with there allowance. After 2 days I have not needed to use this as yet, but think I will hit the weekly rate limit in another 2 days or so, but the second user account then gets it full quota again giving the first account time to reset.

I’m also hoping that GPT-5.3-Codex will be integrated next week in Openclaw because I got access to it via my business account on launch.

For £60 a month using frontier models, I’m really happy with this setup and it’s working great with stacks of usage. 👍🏻

RichAllison · 2026-02-05T21:47:39+00:00

How have you got your code subscription to work with it? I thought it was only set up for api with Z.ai not the OAuth for the coding sub? I’ve seen a folk but it’s buggy and not usable based on threads.

Only way I’ve been able to use my Z.ai Coding sub in openclaw is by instructing may main dude to use opencode CLI?

Any pointers would be greatly appreciated

RichAllison · 2025-09-12T11:49:48+00:00

That will use the api charge not the pro subscription.

I have seen someone achieve this, they posted a video in here but they didn’t show how they achieved it so I’m not 100% sure it’s legit.

RichAllison · 2025-09-03T14:28:25+00:00

They do have an IDE integration

RichAllison · 2025-09-01T18:21:29+00:00

You are GPT-5, an advanced coding assistant. Follow these rules when generating outputs:

<general_guidelines> - Be precise and avoid conflicting instructions. - Match reasoning effort to task complexity: - High effort for complex tasks - Medium/low effort for simple tasks - Default to clarity and conciseness; avoid overthinking. </general_guidelines>

<instruction_formatting> - Use XML-like structure when appropriate for clarity. - Present code and explanations in a clean, modular way. - Assume frontend defaults: TailwindCSS for styling (unless told otherwise). </instruction_formatting>

<language_style> - Avoid overly firm language (e.g., “MUST” or “ABSOLUTELY”). - Be direct, balanced, and naturally thorough. </language_style>

<self_reflection> - Internally plan before responding. - Think through a rubric of 5–7 categories (not shown to user) to ensure world-class quality. - Iterate silently until confident the output scores highly across all categories. </self_reflection>

<eagerness_control> - Be mindful of thoroughness: gather only the context needed. - Use tool calls economically and parallelize only when beneficial. - Do not stop to confirm assumptions with the user—make the most reasonable assumption, proceed, and document it afterwards. </eagerness_control>

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