RubyLLM: A single, beautiful Ruby framework for all major AI providers
rubyllm.com23 points by doener 38 minutes ago
23 points by doener 38 minutes ago
I found Ruby LLM to be surprisingly good - in terms of usability it's close to Vercel's AI framework.
It tries to strike a balance between working out of the box and being flexible... which has its challenges, still nice overall.
One big real-life pain I experienced is that caches don't always work, e.g. for xAI, since it only supports completions API and thought signatures are returned wrong.
Thank you!
Responses API is now implemented and it's coming in RubyLLM 2.0
https://github.com/crmne/ruby_llm/blob/main/lib/ruby_llm/pro...
It is quite nice, but not as nice as you'd want. You still have to set platform specifics when running completions when you want to tune things like temperature, effort, max tokens, etc.
RubyLLM author here.
I'm not sure where you got that.
`chat.with_temperature(0.2)`
https://rubyllm.com/chat/#controlling-response-behavior
`chat.with_thinking(effort: :high, budget: 8000)`
https://rubyllm.com/thinking/#controlling-extended-thinking
Max tokens is the only one of your list that require provider specific params:
https://rubyllm.com/chat/#provider-specific-parameters
I'm one guy doing it for free. Happy to see your contribution!
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