mcpbeat

Add New Configuration

datadog/add-new-configuration

> Register a new environment variable / configuration option in dd-trace-py. Use whenever you add (or rename) a DD_*/_DD_*/OTEL_*/DATADOG_* environment variable so it is documented, validated, and tracked for cross-language feature parity. Covers supported-configurations.json, the generated _supported_configurations.py module, docs/configuration.rst, and the feature-parity registry hand-off.

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on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/DataDog/dd-trace-py --skill add-new-configuration

The instruction itself

11 sections, as written by the author

When to Use This Skill

Use this skill whenever a code change introduces a new environment variable

(or renames/aliases an existing one). In dd-trace-py every DD_*, _DD_*,

OTEL_*, or DATADOG_* variable accessed under ddtrace/ MUST be registered,

or the supported_configurations CI check fails.

Typical trigger: you just added something like

DDConfig.var(bool, AI_GUARD.ENV_OPENAI_ENABLED, default=True) in a settings

module and need to make CI / docs happy.


Key Principles

  • supported-configurations.json is the source of truth. Edit it by hand;

everything else is generated or verified from it.

  • Never hand-edit ddtrace/internal/settings/_supported_configurations.py

it is AUTO-GENERATED. Run the script to regenerate it.

  • Keep entries alphabetically sorted within the supportedConfigurations

object (the generator sorts the Python module, but keep the JSON tidy too).

  • Document user-facing variables in docs/configuration.rst under the

correct product section.

  • Hand off to the human to add the variable to the feature-parity registry —

this is an external web app the agent cannot edit.


Steps

1. Add the entry to supported-configurations.json

Find the right alphabetical slot and add a single-element array. Set type to

mirror the DDConfig.var(...) type. Do NOT infer the implementation letter

from neighbouring variables — it is owned by the central Configuration Registry

(see step 6). Use "A" for a brand-new key; if the key already exists in the

registry, reuse its letter, and if a maintainer must create a new

implementation version (because the type/default differs from an existing

cross-language entry), reference that version's letter.

"DD_AI_GUARD_OPENAI_ENABLED": [
  {
    "implementation": "A",
    "type": "boolean",
    "default": "true"
  }
],

Field notes:

  • type: one of boolean, string, int, etc. — mirror the DDConfig.var(...) type.
  • default: the string form of the default ("true", "16", or null

for no default). Must match the code default exactly.

  • implementation: the version letter assigned by the central Configuration

Registry (step 6), NOT inferred from neighbouring vars. A product prefix like

DD_TRACE_/DD_APPSEC_ legitimately mixes multiple letters, so copying a

sibling can write the wrong value and only the central CI will catch it.

  • Optional keys seen in the registry: aliases, deprecated, sensitive

(excludes the value from config telemetry). Add these only when applicable.

2. Regenerate the Python module

python scripts/supported_configurations.py

This rewrites ddtrace/internal/settings/_supported_configurations.py

(SUPPORTED_CONFIGURATIONS, CONFIGURATION_ALIASES,

DEPRECATED_CONFIGURATIONS, SENSITIVE_CONFIGURATIONS) and verifies that every

env var accessed in ddtrace/ is registered.

3. Verify everything is in sync

python scripts/supported_configurations.py --check

Expected output:

_supported_configurations.py is up to date.
Registry is complete (NNN entries, no unregistered vars).

This is the same check CI runs. If it reports unregistered vars, you missed an

entry in step 1.

4. Document the variable in docs/configuration.rst

Add an entry under the appropriate product heading using the

.. ddtrace-configuration-options:: directive. Match the surrounding style.

   DD_AI_GUARD_OPENAI_ENABLED:
     type: Boolean
     default: True
     description: |
       Per-provider kill switch for AI Guard auto-instrumentation of the OpenAI SDK.
       When set to ``False``, disables AI Guard instrumentation for OpenAI only.

Include version_added: if the option is gated to a specific release.

5. Add a release note (if user-impacting)

New public configuration is user-facing, so add a Reno fragment (use the

releasenote skill). Skip only for purely internal/private vars.

6. Hand off: add it to the feature-parity registry

The agent CANNOT do this — it is an external web application. Tell the user:

> ⚠️ Action required: Add this configuration to the cross-language

> feature-parity registry so it is tracked across tracer languages:

> https://feature-parity.us1.prod.dog/#/configurations?viewType=configurations


Validation Checklist

  • [ ] Entry added to supported-configurations.json (correct type/default/implementation).
  • [ ] python scripts/supported_configurations.py run (module regenerated).
  • [ ] python scripts/supported_configurations.py --check passes.
  • [ ] Documented in docs/configuration.rst under the right section.
  • [ ] Release note added (if user-impacting).
  • [ ] User reminded to register it at the feature-parity dashboard.

Gotchas

  • The --check step is what CI enforces; always run it before committing.
  • default in the JSON is a string (or null), even for ints/booleans.
  • If you only consume the variable in tests or tooling outside ddtrace/, the

completeness check won't force registration — but register it anyway if it is

a real, documented configuration option.

  • Renames: treat the old name as an alias rather than deleting it, to avoid

breaking existing deployments.

How to use it

Copy the folder

Take datadog/add-new-configuration from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.