In this monologue podcast, Ashpreet explains reasoning agents, highlighting their key qualities: thinking before responding, analyzing tool call results, and exploring multiple ideas. She details three approaches to building reasoning agents using Agno: employing reasoning models like O3mini, providing reasoning tools (thinking scratchpad, search, analyze) to non-reasoning models, and utilizing a separate agent with chain of thought plus tool use. She emphasizes the effectiveness of reasoning tools, particularly the "think tool" concept inspired by Anthropic's research, and demonstrates these approaches with code examples from the open-source Agno repository.
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