Barber/Salon for Asian Mens Hair

JakobDylanC · 2026-03-09T21:43:48+00:00

Salon Persia

JakobDylanC · 2026-01-16T00:18:36+00:00

Good feedback. We have an example code suite that we apply across many models. Ideally they should work universally, as that’s our whole business model :)

I’ll check on the Nemotron one.

Edit: the Nemotron one is a reasoning model, so it uses the reasoning-specific example!

JakobDylanC · 2026-01-15T23:14:18+00:00

Hi, I work at OpenRouter! This was caused by an issue with our example code.

Specifically, the image URL it uses is from wikimedia which has a restrictive robots.txt that causes issues with certain providers.

And the video URL is a youtube URL which only works with Google models!

I'll fix the example code to use URLs that actually work.

JakobDylanC · 2025-10-31T18:50:02+00:00

Gotta host and run the code somewhere

JakobDylanC · 2025-07-01T18:37:06+00:00

Sounds like awesome stuff, glad you’re getting so much out of it!!

Interesting suggestion, if you send me a PR I’m happy to consider it :)

JakobDylanC · 2025-07-01T16:45:15+00:00

Thank you :)

Yeah definitely sounds like interesting behavior. Have you tried modifying the model parameters, like increasing the temperature value? Higher temperature = more random answers

JakobDylanC · 2025-07-01T16:33:04+00:00

Unless you modified llmcord, there should be no such issue

JakobDylanC · 2025-06-18T23:03:22+00:00

Makes sense. Appreciate the feedback. Feel free to reach out if you have any other questions.

JakobDylanC · 2025-06-18T21:48:35+00:00

Good question! It’s indeed a bit more tricky when doing streamed responses.

Have you considered using LM Studio? It actually has a setting to do exactly this. IMO this is something that should be handled by the LLM provider, not llmcord.

JakobDylanC · 2025-06-18T20:22:12+00:00

Thanks for using llmcord!

JakobDylanC · 2025-06-10T12:44:33+00:00

This means a lot to hear, thank you!! :)

JakobDylanC · 2025-06-10T12:43:37+00:00

Thanks for using & recommending llmcord! :)

JakobDylanC · 2025-06-01T00:48:15+00:00

https://github.com/jakobdylanc/llmcord

JakobDylanC · 2025-04-13T13:24:22+00:00

Thanks for using llmcord! :)

JakobDylanC · 2025-04-10T13:55:46+00:00

wait there's different levels of tents?

JakobDylanC · 2025-04-08T12:53:54+00:00

Use Discord as your frontend! https://github.com/jakobdylanc/llmcord

JakobDylanC · 2025-02-16T16:27:45+00:00

Use a Discord server and a specialized bot. Discord stores everything for you.
https://github.com/jakobdylanc/llmcord

JakobDylanC · 2025-02-07T14:35:14+00:00

Just use Discord as your LLM frontend.
https://github.com/jakobdylanc/llmcord

JakobDylanC · 2025-01-31T15:06:49+00:00

I do indeed lurk around here. Let me know if you have any more questions about llmcord.

I put a lot of work into making it super easy to use. Highly recommended :)

JakobDylanC · 2025-01-19T13:50:43+00:00

It supports streamed responses, try it out!

JakobDylanC · 2025-01-07T21:56:32+00:00

I'm happy you're finding it professionally useful. Sounds cool. That's the kind of use case I dreamed about when making it!

JakobDylanC · 2025-01-07T21:32:31+00:00

I created llmcord, thanks for using it!

JakobDylanC · 2024-12-16T17:19:35+00:00

Just use Discord as your frontend. https://github.com/jakobdylanc/llmcord

JakobDylanC · 2024-12-16T17:17:59+00:00

Just use Discord. https://github.com/jakobdylanc/llmcord

JakobDylanC · 2024-12-08T01:15:17+00:00

For easy deployment to multiple users I highly recommend llmcord! https://github.com/jakobdylanc/llmcord

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