LangChain for Absolute Beginners - Part 3: Tools & Building Your First Real Agent
Article summary
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In Part 2 , we built chains - fixed pipelines where the steps are always the same: prompt, then model, then parser. Chains are predictable, but they can't do anything a human didn't explicitly script in advance. Agents flip that around. Instead of a fixed path, you hand the model a set of tools and let it decide, at run time, which ones to call, in what order, and when it's done. That's what we're building today. Recap: The Series So Far Part 1 - What LangChain is & your first script Part 2…
1Key Takeaways
- In Part 2 , we built chains - fixed pipelines where the steps are always the same: prompt, then model, then parser.
- Chains are predictable, but they can't do anything a human didn't explicitly script in advance.
- Instead of a fixed path, you hand the model a set of tools and let it decide, at run time, which ones to call, in what order, and when it's done.
- Recap: The Series So Far Part 1 - What LangChain is & your first script Part 2….
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that in Part 2 , we built chains - fixed pipelines where the steps are always the same: prompt, then model, then parser.
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