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Instrument Logs

PostHogOfficialCreated by PostHog

  • Skill
  • Tool integration
  • Data and AI
  • MIT
  • Low risk

From the author

Add PostHog log capture to track application logs. Use after implementing features or reviewing PRs to ensure meaningful log events are captured with structured properties. Also handles initial OTLP exporter setup if not yet configured.
— the description by PostHog

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill guides the integration of PostHog log capture into various application stacks. It automates the setup of OTLP exporters and provides instructions for adding structured logging alongside existing application logs. The skill ensures that log events are captured with meaningful properties, facilitating better observability and debugging within the PostHog platform.

What it does

  • Detects the application platform and existing logging infrastructure.
  • Configures the OpenTelemetry (OTLP) exporter for PostHog ingestion.
  • Integrates PostHog log capture without replacing existing logging handlers.
  • Ensures logs are captured with structured key-value properties.
  • Manages environment variable configuration for API tokens and host URLs.
  • Provides platform-specific guidance for SDK-native log capture.

When to use it

  • After implementing new features that require observability.
  • During code reviews when you identify a need for better log coverage.
  • When setting up initial log export for a new project.
  • When migrating from standard logging to structured, centralized log management.

Advantages

  • Maintains existing logging architecture without disruptive changes.
  • Supports a wide range of languages and frameworks via OpenTelemetry.
  • Enables structured logging for improved search and filtering in PostHog.
  • Automates the configuration of environment variables and ingestion endpoints.

Usage examples

“Add PostHog log capture to my Node.js application.”
The agent will analyze your package.json, install necessary OpenTelemetry dependencies, configure the OTLP exporter, and guide you through adding PostHog logging calls to your code.
“I need to start tracking logs in my Android app using PostHog.”
The agent will verify your Android SDK setup, configure the PostHogAndroidConfig for logs, and show you how to use PostHog.logger to capture structured events.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/posthog/instrument-logs/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip instrument-logs.zip -d .agents/skills

Documentation by PostHog

Add PostHog log capture

Use this skill to add PostHog log capture for new or changed code. Use it after implementing features or reviewing PRs to ensure meaningful log events are captured with structured properties. If PostHog log export is not yet configured, this skill also covers initial OTLP exporter setup. Supports any platform or language.

Supported platforms: Next.js, Node.js, Python, Go, Java, Datadog, Android, React Native, iOS, and any language via OpenTelemetry.

Instructions

Follow these steps IN ORDER:

STEP 1: Analyze the codebase and detect the platform.

  • Detect the language, framework, and existing logging setup.

  • Look for dependency files and project files (package.json, Podfile, Package.swift, requirements.txt, go.mod, pom.xml, etc.).

  • Look for log libraries (winston, pino, logging module, logrus, log4j, serilog, os_log, Logger, etc.).

  • Look for lockfiles (pnpm-lock.yaml, package-lock.json, yarn.lock, bun.lockb, go.sum, Podfile.lock, Package.resolved, etc.) to determine the package manager.

  • Check for existing PostHog log export setup. If the OTLP exporter is already configured, skip to STEP 5 to add log capture for new code.

STEP 2: Research log capture. (Skip if PostHog log export is already configured.) 2.1. Find the reference file below that matches the detected platform — it is the source of truth for OTLP exporter configuration and integration with existing logging. Read it now. 2.2. If no reference matches, use the "Other Languages" reference as a fallback — it covers the generic OpenTelemetry approach.

STEP 3: Install dependencies. (Skip if PostHog log export is already configured.)

  • Install the OpenTelemetry SDK and OTLP exporter packages for the detected platform.

  • Do not manually edit dependency files — use the package manager's install command.

STEP 4: Configure the OTLP exporter. (Skip if PostHog log export is already configured.)

  • PostHog logs use the OpenTelemetry protocol. Set up an OTLP exporter pointed at PostHog's ingest endpoint.

  • For SDK-native log support such as Android, React Native, and iOS, follow the platform reference instead of adding a separate OTLP exporter.

  • Follow the platform-specific reference for the exact configuration.

STEP 5: Integrate with existing logging.

  • Add the PostHog log exporter alongside existing logging. Don't replace existing log handlers or outputs.

  • Do not alter the fundamental architecture of existing files. Make additions minimal and targeted.

  • You must read a file immediately before attempting to write it.

STEP 6: Add structured properties.

  • Ensure logs include structured key-value properties for filtering and search in PostHog.

  • Prefer structured log formats with key-value properties over plain text messages.

STEP 7: Set up environment variables.

  • Check if the project already has PostHog environment variables configured (e.g. in .env, .env.local, or framework-specific env files). If valid values already exist, skip this step.

  • If the PostHog project token is missing, use the PostHog MCP server's projects-get tool to retrieve the project's api_token. If multiple projects are returned, ask the user which project to use. If the MCP server is not connected or not authenticated, ask the user for their PostHog project token instead.

  • For the PostHog host URL: check the projects-get MCP response for a region field — US maps to https://us.i.posthog.com, EU maps to https://eu.i.posthog.com. If the region is not available from the MCP response or from existing project configuration, ask the user: "Are you on PostHog US Cloud or EU Cloud?" Do not assume US Cloud.

  • For the OpenTelemetry endpoint, use https://us.i.posthog.com/v1 (US) or https://eu.i.posthog.com/v1 (EU), matching the region determined above.

  • Write these values to the appropriate env file using the framework's naming convention.

  • Reference these environment variables in code instead of hardcoding them.

Reference files

  • references/nextjs.md - Next.js logs installation

  • references/nodejs.md - Node.js logs installation

  • references/python.md - Python logs installation

  • references/go.md - Go logs installation

  • references/java.md - Java logs installation

  • references/datadog.md - Datadog logs installation

  • references/android.md - Android logs installation

  • references/react-native.md - React native logs installation

  • references/ios.md - Ios logs installation

  • references/flutter.md - Flutter logs installation

  • references/other.md - Other languages logs installation

  • references/start-here.md - Getting started with logs

  • references/search.md - Search logs

  • references/best-practices.md - Logging best practices

  • references/troubleshooting.md - Logs troubleshooting

  • references/link-session-replay.md - Link session replay

  • references/mcp.md - Use logs over PostHog mcp

  • references/COMMANDMENTS.md - Framework-specific rules the integration must follow

Each platform reference contains specific OTLP configuration, SDK setup, and integration patterns. Find the one matching the user's stack.

Key principles

  • Environment variables: Always use environment variables for PostHog keys and OpenTelemetry endpoints. Never hardcode them.

  • Minimal changes: Add log export alongside existing logging. Don't replace or restructure existing logging code.

  • OpenTelemetry: PostHog logs use the OpenTelemetry protocol. Configure an OTLP exporter pointed at PostHog's ingest endpoint unless the platform SDK provides native log capture.

  • SDK-native logs: For Android, React Native, and iOS, use the SDK logger/capture APIs from the platform reference instead of adding a separate OTLP exporter.

  • Structured logging: Prefer structured log formats with key-value properties over plain text messages.

Files

references/android.md

AI agents: this is one page from PostHog's docs. Full index of Markdown docs for LLMs: https://posthog.com/llms.txt

Android Logs installation

Canonical URL: https://posthog.com/docs/logs/installation/android

Cloud region: This page uses US Cloud hosts. For an EU Cloud project, use https://eu.i.posthog.com instead of https://us.i.posthog.com (ingestion host), and use https://eu.posthog.com instead of https://app.posthog.com (app host for links).

On this page

  • Install posthog-android

  • Configure logs in your PostHogAndroidConfig

  • Capture logs

  • Test your setup

  • Tune buffering, rate cap, and resource attributes

  • Filter or redact with beforeSend

  • Next steps

The PostHog Android SDK has built-in support for capturing structured Logs from Android apps. The SDK handles the OTLP encoding, batching, on-disk persistence across app restarts, and lifecycle integration. You just call PostHog.logger.{trace,debug,info,warn,error,fatal}(...).

Manual capture only. Logs are emitted by your code. The SDK does not autocapture system log streams (Log.d, Logcat, Timber).

Minimum version: com.posthog:[email protected] or later. Bump the dependency in your build.gradle (or build.gradle.kts) and re-sync.

  1. 1

    Install posthog-android

    Required

    If you haven't installed posthog-android yet, follow the Android SDK installation guide.

  2. 2

    Configure logs in your PostHogAndroidConfig

    Required

    Configure Logs through config.logs before calling PostHogAndroid.setup(...). All fields are optional; defaults are tuned for mobile (cellular bandwidth, battery, app lifecycle).

    val config = PostHogAndroidConfig(
        apiKey = "<ph_project_token>",
        host = "https://us.i.posthog.com",
    ).apply {
        logs.serviceName = "my-app"        // OTLP service.name – shown in the Logs UI
        logs.environment = "production"    // OTLP deployment.environment
        logs.serviceVersion = "1.2.3"      // OTLP service.version
    }

    These resource attributes are captured at setup(...) and apply to every batch. Mutating config.logs.serviceName, environment, serviceVersion, or resourceAttributes after setup has no effect.

  3. 3

    Capture logs

    Required

    Use PostHog.logger for the per-level convenience API.

    import com.posthog.PostHog
    import com.posthog.logs.PostHogLogSeverity
    
    // Per-level convenience methods
    PostHog.logger.info("checkout completed", mapOf("order_id" to "ord_789", "amount_cents" to 4999))
    PostHog.logger.warn("payment retry", mapOf("attempt" to 2))
    PostHog.logger.error("payment failed", mapOf("code" to "E001"))
    
    // Generic entry point for a runtime severity (e.g. mapping a Timber priority)
    PostHog.logger.log("rendered cart", severity = PostHogLogSeverity.DEBUG)

    Available severity levels: TRACE, DEBUG, INFO, WARN, ERROR, FATAL.

    If you need W3C trace correlation, call PostHog.captureLog(...) directly and pass traceId, spanId, and traceFlags.

    PostHog.captureLog(
        "payment failed",
        severity = PostHogLogSeverity.ERROR,
        attributes = mapOf("code" to "PAY_3001"),
        traceId = "4bf92f3577b34da6a3ce929d0e0e4736",
        spanId = "00f067aa0ba902b7",
        traceFlags = 0x01,
    )

    Records are buffered, batched, persisted to disk, and flushed automatically – every 30 seconds, when the buffer hits the threshold, when the app moves to the background, or on PostHog.flush(). flush() drains events, Session Replay, and Logs together.

    Each record is automatically tagged with the current distinct ID, session ID, current screen, app foreground/background state, and active Feature Flags at the moment of capture.

    From Java:

    import com.posthog.PostHog;
    import com.posthog.logs.PostHogLogSeverity;
    
    import java.util.Map;
    
    PostHog.Companion.getLogger().info("checkout opened", null);
    PostHog.Companion.getLogger().error(
        "payment failed",
        Map.of("amount_cents", 1999, "currency", "USD")
    );
  4. 4

    Test your setup

    Recommended

    1. Capture a test log from your app:

      PostHog.logger.info("hello from Android")
      PostHog.flush()
    2. Open the PostHog Logs UI.

    3. Filter by service.name = 'my-app' (or whatever value you set above).

    You should see your record arrive within a few seconds.

    View your Logs in PostHog

  5. 5

    Tune buffering, rate cap, and resource attributes

    Optional

    The logs config has knobs for high-volume apps:

    val config = PostHogAndroidConfig(apiKey = "<ph_project_token>").apply {
        logs.serviceName = "my-app"
        logs.flushIntervalSeconds = 5            // default 30
        logs.maxBufferSize = 200                 // default 1000
        logs.maxBatchSize = 50                   // default 50
        logs.flushAt = 20                        // default 20
        logs.rateCapMaxLogs = 5000               // default 500
        logs.rateCapWindowSeconds = 60           // default 10
        logs.resourceAttributes = mapOf("host.name" to "device-01")
    }
    PostHogAndroid.setup(this, config)

    Full configuration reference:

    FieldDefaultWhat it does
    serviceNameapp package idOTLP service.name resource attribute
    serviceVersionBuildConfig.VERSION_NAMEOTLP service.version resource attribute
    environmentnullOTLP deployment.environment resource attribute
    resourceAttributes{}Extra OTLP resource attributes (SDK keys win on collision)
    flushIntervalSeconds30Periodic flush interval
    flushAt20Buffer threshold that triggers an automatic flush
    maxBatchSize50Max records per outbound POST (halved on 413)
    maxBufferSize1000Max records held on disk before FIFO eviction
    rateCapMaxLogs500Max records per rateCapWindowSeconds window. Set to 0 to disable.
    rateCapWindowSeconds10Rate-cap tumbling window length

    serviceName, serviceVersion, environment, resourceAttributes, flushAt, and maxBatchSize are captured at setup(...); mutating them later has no effect. flushIntervalSeconds, maxBufferSize, and rate-cap fields are re-read at runtime. Defaults are tuned for cellular-aware mobile apps. Raise rateCapMaxLogs and maxBufferSize for high-volume scenarios.

  6. 6

    Filter or redact with beforeSend

    Optional

    beforeSend runs synchronously before the rate cap, so dropped records don't consume the per-window budget. Use it for redaction, sampling, or filtering by level. Each hook receives an immutable PostHogLogRecord and returns either a (possibly modified) record or null to drop it.

    config.logs.addBeforeSend { record ->
        // Drop debug logs in production
        if (record.level == PostHogLogSeverity.DEBUG) return@addBeforeSend null
    
        // Redact secrets in the body
        record.copy(body = record.body.replace(Regex("api_key=\\S+"), "api_key=[REDACTED]"))
    }

    Call addBeforeSend multiple times to compose a chain – hooks are evaluated left-to-right (registration order). Returning null from any hook short-circuits and drops the record. A hook that throws is treated the same as returning null (the record is dropped, the exception is logged via the SDK's internal debug logger). Returning a record with a blank body also drops the record.

    addBeforeSend and removeBeforeSend are live – added or removed hooks take effect on the next captureLog call.

    From Java, register a PostHogBeforeSendLog SAM:

    config.getLogs().addBeforeSend(record ->
        record.getBody().contains("secret") ? null : record
    );
  7. Next steps

    Checkpoint

    What you can do with your logs

    ActionDescription
    Why you need logsWhat logs show you that nothing else does
    Search logsUse the search interface to find specific log entries
    Filter by levelFilter by INFO, WARN, ERROR, etc.
    Link session replayConnect logs to users and session replays by passing posthogDistinctId and sessionId
    Link logs to a personSurface every log emitted on behalf of a user on their PostHog person profile
    Logging best practicesLearn what to log, how to structure logs, and patterns that make logs useful in production

    Troubleshoot common issues

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server, Needs Python, Needs Node.js

Security

What our scanner noticed· Low risk

  • Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
PostHog
Publisher
PostHog (Official)
Source
PostHog/skills · skills/omnibus/instrument-logs · commit a5d30e7
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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