llms.txt

# This file describes the Large Language Model (LLM) usage, integration, or related metadata for this repository.
# If your project uses LLMs (e.g., OpenAI GPT, Claude, Llama, etc.), document the relevant details below.

## LLM Usage Overview

# Does this project use LLMs? (Yes/No)
No (update to 'Yes' if you begin LLM integration)

# LLM Providers (if applicable)
# e.g., OpenAI, Anthropic, Meta, Google
# Provider: <provider_name>
# Model: <model_name>
# API Version: <api_version>
# Endpoint: <api_endpoint>

# LLM Integration Purpose
# e.g., Generating natural language responses, code completion, data extraction, semantic analysis, etc.

# LLM Configuration Details
# API keys/secrets management approach:
# Rate limits, batching, streaming, etc:

# Data Privacy/Retention Policy
# How is data sent to the LLM handled? Are user prompts, code, or sensitive data transmitted?
# Retention, deletion, and compliance details:

# Additional Notes
# - Update this file as your LLM usage evolves.
# - Reference any related documentation, design docs, or compliance statements.

# Example (for reference, delete if not applicable):
# Provider: OpenAI
# Model: GPT-4
# API Version: v1
# Endpoint: https://api.openai.com/v1/chat/completions
# Purpose: Semantic code search and automated code review
# API Keys: Managed via environment variables
# Data Privacy: No user PII sent to the API, prompts anonymized