I used to think that building complex Agent workflows would be a nightmare. Over the past two years, I have sporadically dived into this pit, and what happened? Suddenly, everything became clear. To put it simply, the core of an LLM Agent is so straightforward—grant the language model CLI command line access with complete freedom to schedule. It's truly amazing. Now I realize that as long as the LLM has enough command interfaces and execution permissions, there's basically nothing it can't do. Any large model can be endowed with such capabilities. This approach has completely changed my perception of AI applications.
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CoffeeNFTrader
· 16h ago
Haha, this idea is indeed brilliant. Once you equip the large model with a CLI key, it becomes invincible.
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GasFeeNightmare
· 16h ago
Once the authority is established, the world will be in harmony. I am convinced by this logic.
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SeasonedInvestor
· 16h ago
Damn, someone finally explained this clearly. It's really just about permission access. It seems complicated, but once broken down, it's just these few things.
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Whale_Whisperer
· 16h ago
Granting CLI access to LLMs is a direct way to get started. It sounds reasonable, but it's also a bit too idealistic, isn't it?
I used to think that building complex Agent workflows would be a nightmare. Over the past two years, I have sporadically dived into this pit, and what happened? Suddenly, everything became clear. To put it simply, the core of an LLM Agent is so straightforward—grant the language model CLI command line access with complete freedom to schedule. It's truly amazing. Now I realize that as long as the LLM has enough command interfaces and execution permissions, there's basically nothing it can't do. Any large model can be endowed with such capabilities. This approach has completely changed my perception of AI applications.