The provided code structure and comments outline a sophisticated system for optimizing creative content, such as subject lines or headlines, using large language models (LLMs) and an iterative optimization loop. Here's a breakdown of the key components and their roles:
1. High-Level Structure
- Iteration Core (
agent/iteration.py): Contains the main logic for running the optimization process. - Agent Shell (
agent/shell.py): Manages interactions with LLMs, scoring functions, and memory systems. - Observability Hooks: Functions to log telemetry data after each round of iteration.
2. Iteration Core (run_optimization) Function
The run_optimization function is the heart of the system. It takes several parameters:
- Briefing: The initial prompt or briefing for the optimization process.
- Generate: A callable that generates new content based on a given prompt and number of samples to generate.
- Score: A scoring function that evaluates generated content against certain criteria (e.g., click-through rate predictions).
- Critique: A function that provides actionable feedback based on scored results, guiding the next iteration.
- Recall: An optional callable for accessing past memory or
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Ali NematiWritten by Ali
