Persona to demonstrate the use of PocketFlow in Jupyter AI Personas #20
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
In this
pocketagent_personawe explain how any application in the PocketFlow respository (GitHub) can be adapted to work withinjupyter-ai-personas. PocketFlow provides many examples in its cookbook. They can be easily adapted to work in Personas as shown here. The README also provides a brief overview of PocketFlow and its main abstractions.As an example, we adapt the query and search agentic workflow from PocketFlow into Personas where queries to the LLM may be sent to a search utility in case the LLM does not have up to date information. An example:
Behind the scenes the agentic workflow is logged to console: