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Create an Environment class in run.py that has methods for storing agent responses.
Follow the instructions in the module_template readme for testing locally without Node and then testing locally with Node.
Part B: Update Orchestrator Module
In the corresponding orchestrator module, you should replace the storage of agent responses in list form here with use of the new Environment class. It will look similar to the use of environment multiagent chat module here.
Follow the instructions in the module_template readme for testing locally without Node and then testing locally with Node.
The text was updated successfully, but these errors were encountered:
GenAgent have "interview" and "survey" as environment mechanisms.
Here is an example of an interview
And the resulting generated persona
Part A: Create Environment Module
Part B: Update Orchestrator Module
The text was updated successfully, but these errors were encountered: