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What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

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This introduction to the 12 key factors for building Agent applications is great, but I'd also like to see some examples of Agent development that puts these factors into practice....

I am sure you mean that the LLM figures out how to the connect the dots...

Great work summarizing the core principles — it’s a solid bridge between software deployment discipline and the emerging agent paradigm. One suggestion: we could explore evolving this into a “12-Factor...

## Summary Fixed an inconsistency in the example where the memo addressed "Jeff" instead of "Terri", even though the payment link was being created for Terri.

Just a minor addition to the "Compact Errors" section that error handling can often be removed from the agent's context window once a successful output is achieved. You demonstrate that...

This addition proposes to start adding evaluation tests (evals) to be part of the context of agent app. General concept: - https://platform.openai.com/docs/guides/evals-design#multi-agent-architectures - https://cookbook.openai.com/examples/evaluation/getting_started_with_openai_evals The main idea of the PR...

A template/boilerplate codebase for a production agent that implements the 12 factors.

Hi, is there any plan for i18n support?