agentleFS
Sign inStart free
Azure-SamplesAzure-Samples/rag-postgres-openai-python/AGENTS.md

rag-postgres-openai-python

AGENTS.md505 starsChanged 53 days agoMITView on GitHub

An azd environment variable is stored by the azd CLI for each environment. It is passed to the "azd up" command and can configure both provisioning options and application settings. When adding new azd environment variables, update:

  • Installs packages

We split this AGENTS.md into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When adding new azd environment variables, update:

    line 6
  2. Very specific:

    Update the version constraint in src/backend/pyproject.toml

    line 14

≈ “Common” is an estimate: at least 1 in 5 of the 36,368 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

Instructions for coding agents

Adding new azd environment variables

An azd environment variable is stored by the azd CLI for each environment. It is passed to the "azd up" command and can configure both provisioning options and application settings. When adding new azd environment variables, update:

  1. infra/main.parameters.json : Add the new parameter with a Bicep-friendly variable name and map to the new environment variable
  2. infra/main.bicep: Add the new Bicep parameter at the top, and add it to the webAppEnv object
  3. .github/workflows/azure-dev.yml: Add the new environment variable under env section. If it's a @secure variable in main.bicep, it should come from secrets, otherwise from vars.

Upgrading Python packages

  1. Update the version constraint in src/backend/pyproject.toml

  2. Re-compile src/backend/requirements.txt from the src folder:

    uv pip compile pyproject.toml -o requirements.txt --python-version 3.10

  3. Reinstall with:

    python -m pip install -r src/backend/requirements.txt

Download now (ZIP)

  • Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.

    Of the AGENTS.md files we read, the 28,693 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.

  • In this repositoryOne other file it gives its agents.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free