Every time you choose to apply a rule(s), explicitly state the rule(s) in the output. You can abbreviate the rule description to a single word or phrase.
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This is not working complete code.
This is strictly a v0.2, scrapy, proof of concept version of a personal AI Assistant working end to end in just ~726 LOC.
This is the second iteration showcasing the two-way prompt aka multi-step human in the loop. The initial, v0, assistant version is here.
It's only a frame of reference for you to consume the core ideas of how to build a POC of a personal AI Assistant.
To see the high level of how this works check out the explanation video. To follow our agentic journey check out the @IndyDevDan channel.
Sequential prompt chaining in one method with context and output back-referencing.
main.py
- start here - full example using MinimalChainable
from chain.py
to build a sequential prompt chainchain.py
- contains zero library minimal prompt chain classchain_test.py
- tests for chain.py
, you can ignore thisrequirements.py
- python requirements