#3505 Query/Prompt/Insert Sequences
#3505 Query/Prompt/Insert Sequences #3505 Provide python code for: 1) Run a defined SQL query, 2) Loop over the top N results, 3) Submit a defined AI prompt for each, and 4) Insert the results for each into the database. This patter will apply to multiple follow-up query/prompt/insert sequences Below is a self-contained, reusable pattern you can drop into any project that needs to: Run a SQL query and fetch the top N rows Send each row (or selected fields) to an LLM prompt Capture the model’s response Write the response back to a database table Repeat the whole flow for additional “query → prompt → insert” sequences """ ai_sql_pipeline.py Requires: pip install sqlalchemy openai tenacity python-dotenv Set environment variables or a .env file for: DB_URI → your SQLAlchemy-compatible DB URL OPENAI_API_KEY → your OpenAI key """ from __future__ import annotations import os from dataclasses import dataclass from...