Josef Strzibny
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🌐 dev.toSource
RubyLLM 2.0 and 2.1 bring a lot of improvements to building agents. You can run the agent loop one step at a time, tools can now wait for a human to approve them and agents can live in the database and therefore survive a restart.
🌐 dev.toSource
Chat-based agents are augmented LLM interfaces with access to a list of predefined tools. RubyLLM Agents are reusable AI assistants implemented as models with their configuration, runtime context, and prompt conventions. Let's see how we can start implementing custom OpenAI chat