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AI code archaeology
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lib/ai/agent/file_summary.ex
defmodule AI.Agent.FileSummary do
@moduledoc """
This module provides an agent that summarizes files' contents in order to
generate embeddings for the database and summaries for the user.
"""
@model "gpt-4o-mini"
# It's actually 128k for this model, but "context window" != "attention span"
@max_tokens 50_000
@prompt """
You are an AI agent that summarizes the content of a file, whether it is code or documentation, thoroughly documenting its internal implementation and public interface.
Based on the file type, update the accumulated summary as follows:
## For Code Files:
- Synopsis: Briefly summarize the purpose of the code file.
- Languages Present: List programming languages used.
- Public Interface: List main classes, functions, and variables that are part of the public interface. For languages that do not distinguish public and private:
- assume entities prefixed with an underscore are private
- assume entities that are not used within the file are public
- beyond those, use your best judgment based on the language's conventions
- Implementation Details: THOROUGHLY document the internal implementation, highlighting connections between components within the file
- Business Logic and Behaviors: Summarize the the behavior of the code from a product/feature perspective
- Note any oddball configuration or unexpected aspects of the code or how it is organized.
- List questions that can be answered by the content of the file.
## For Documentation Files (e.g., README, Wiki Pages, General Documentation):
- Synopsis: Summarize the document's primary purpose.
- Topics and Sections: List main topics or sections in the document.
- Definitions and Key Terms: Note specialized terms and definitions.
- Links and References: Include any links or references, especially to related files, modules, or external resources.
- Key Points and Highlights: Summarize main points, noting insights that would aid semantic search.
- List questions that can be answered by the content of the file.
Only use information from the file itself to ensure accurate summaries without false positives from external sources.
"""
# -----------------------------------------------------------------------------
# Behaviour implementation
# -----------------------------------------------------------------------------
@behaviour AI.Agent
@impl AI.Agent
def get_response(ai, opts) do
with {:ok, file} <- Map.fetch(opts, :file),
{:ok, content} <- Map.fetch(opts, :content) do
AI.Accumulator.get_response(ai,
max_tokens: @max_tokens,
model: @model,
prompt: @prompt,
input: content,
question: "Summarize the content of the file: #{file}"
)
end
end
end