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The LLM::Agent class provides a class-level DSL for defining reusable, preconfigured assistants with defaults for model, tools, schema, and instructions. Instructions are injected only on the first request. This idea originally came from RubyLLM and was adapted to llm.rb.
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Feb 15, 2026
| if LLM::Builder === prompt | ||
| messages = prompt.to_a | ||
| builder = LLM::Builder.new do |builder| | ||
| builder.system instr unless @instructions_applied |
0x1eef
commented
Feb 15, 2026
| builder.tap(&:call) | ||
| else | ||
| build_prompt do | ||
| _1.system instr unless @instructions_applied |
Gemini does not support the 'system' role so the prompt builder will map it to the 'user' role instead. This allows us to write the same code for Gemini, OpenAI, etc. without worrying about the underlying differences between the two. Ref #111
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@0x1eef This is great 🔥 |
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The
LLM::Agentclass provides a class-level DSL for defining reusable,preconfigured assistants with defaults for model, tools, schema, and
instructions. Instructions are injected only on the first request.
This idea originally came from RubyLLM and was adapted to llm.rb.