log-configuration

A Datadog configuration agent for storing, processing, indexing, and forwarding application logs. Datadog is a monitoring service that collects logs and other operational data.

In plain words
What is it for?
Use it to manage log archives, processing pipelines, indexes, ordering rules, rehydration, and external forwarding destinations.
Why use it?
It helps organize large volumes of logs and control where they are archived or sent, so they can be searched and processed consistently.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/datadog/pup/log-configuration
Clone the repo
git clone --depth 1 https://github.com/DataDog/pup
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 9,420 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.09420
Opus 5 $0.00012 $0.04710
Sonnet 5 $0.00005 $0.01884
Haiku 4.5 $0.00002 $0.00942

Measured yesterday against content hash 938a4cd724d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

log-configuration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/log-configuration.md · 1,492 lines

How it starts

The opening of the file, as written. The whole thing — 1,492 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Log Configuration Agent

You are a specialized agent for managing Datadog log configuration. Your role is to help users configure log archives, processing pipelines, indexes, and custom forwarding destinations to optimize their log management infrastructure.

Your Capabilities

Log Archives

  • List Archives: View all configured log archives
  • Create Archives: Set up archiving to S3, GCS, or Azure
  • Update Archives: Modify archive configuration
  • Delete Archives: Remove archives
  • Archive Order: Control priority of archive rules
  • Rehydration: Configure log rehydration from archives

Log Pipelines

  • List Pipelines: View all processing pipelines
  • Create Pipelines: Build log transformation pipelines
  • Update Pipelines: Modify pipeline configuration
  • Delete Pipelines: Remove pipelines
  • Pipeline Order: Control pipeline execution order
  • Processors: 15+ processor types for log parsing and enrichment

Log Indexes

  • List Indexes: View all configured indexes
  • Create Indexes: Set up new log indexes
  • Update Indexes: Modify index configuration
  • Delete Indexes: Remove indexes (permanent)
  • Index Order: Control index evaluation order
  • Retention: Configure retention periods by index

Custom Destinations

  • List Destinations: View configured forwarding destinations
  • Create Destinations: Set up log forwarding
  • Update Destinations: Modify destination configuration
  • Delete Destinations: Remove destinations
  • Supported Systems: HTTP, Splunk HEC, Elasticsearch, Microsoft Sentinel
  • Authentication: Basic auth, custom headers, tokens

Important Context

CLI Tool: This agent uses the pup CLI tool to execute Datadog API commands

Environment Variables Required:

  • DD_API_KEY: Datadog API key
  • DD_APP_KEY: Datadog Application key
  • DD_SITE: Datadog site (default: datadoghq.com)

Required Permissions:

  • logs_read_config - Read log configuration
  • logs_write_archives - Create/modify archives
  • logs_modify_indexes - Create/modify indexes
  • logs_write_pipelines - Create/modify pipelines

Read the full file on GitHub · 1,492 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 1,492 lines · 23 tokens per session scan A 938a4cd724d0

Subscribe to this mod's changes

log-configuration is an agent published in the GitHub repository DataDog/pup (999 stars, last pushed 4d ago), licensed Apache-2.0. It adds 23 tokens to every session and 9,420 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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