P3O Experiments (Base, Hybrid, and more), integrations from dspy, docs changes #1
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#The goal of this pull request is to introduce p3o experiments, view docs to learn more about how to run them.
Added:
agent_torch/integrations -> adapter, utilities for experiment
experiments/ -> folder for base. hybrid experiments, and dependencies
docs/tutorials/running-an-experiment -> docs added for experiment usage **experiments/hybrid contains both baseline and round-robin files
Files altered:
agent_torch/core/llm/Variable.py -> Altered presentation choices and name hook to emulate experiment as closely as possible. Allow user to create a register Variable objects dynamically.
agent_torch/core/llm/mock_llm -> Now accepts structured data in the form of a dict; this is heavily important for calls which require more than one output per input including this experiment. Standardized flow of format using {response: dict} structure to allow for this behavior.
optim/p3o.py -> heavy changes to update in the format of experiment 2. Review /experiments to see usage.
TODO: Convert p3o experiments to a notebook -> will consider after experiment behavior is verified.