llm-openrouter

My automation is pretty simple. I use my https://llm.datasette.io tool where I have a template saved: llm "Generate an SVG of a pelican riding a bicycle" --save pelican When a model comes out I first make sure LLM can talk to it - usually by updating the relevant plugin, but if it's on OpenRouter I can use it directly with https://github.com/simonw/llm-openrouter - sometimes I use this mechanism instead, for OpenAI-compliant API models: https://llm.datasette.io/en/stable/other-models.html#configu... Then I run something like this: llm -m gpt-6-astra -m pelican Then I grab the most recent log export as markdown: llm logs -cu | pbcopy -c means most recent conversation, -u includes token usage I paste that into https://gist.github.com and then paste the resulting Gist URL into the URL tab on https://tools.simonwillison.net/markdown-

My current secrets: * cht.sh is a great way to avoid a lot of this stuff - there's a commandline tool as well * usable cli ai setup: simonw's llm (https://github.com/simonw/llm) + openrouter (https://github.com/simonw/llm-openrouter) + free models (https://openrouter.ai/models?max_price=0) + glow (https://github.com/charmbracelet/glow) + adding this to your .rc file: function lm { local input="$*" llm -s 'Answer as short and concise as possible' ${input} | glow } Here's an example, $ lm "ssh command to forward the port 5050 on user@remote to my localhost:7001" ssh -L 7001:localhost:5050 user@remote $ Now for a sophisticated use-case I have a small tmux program where I can capture what's on the pane, enter a prompt and it will query