Logit

Annotation-based logging library for Crystal with OpenTelemetry support

Background

Inspired by the principles outlined at loggingsucks.com, Logit provides a modern approach to logging in Crystal through annotation-based instrumentation. Instead of manually adding logging statements throughout your code, simply annotate methods with @[Logit::Log] and Logit automatically generates wrappers that capture:

Method arguments and return values
Execution time and duration
Exceptions with full stack traces
OpenTelemetry trace context (W3C trace/span IDs)
Fiber-aware span propagation for concurrent code

The library follows OpenTelemetry semantic conventions, making it compatible with observability platforms that support OTLP or OpenTelemetry exporters.

Install

Add this to your application's shard.yml:

dependencies:
  logit:
    github: watzon/logit

Then run:

shards install

Require the library in your code:

require "logit"

Usage

Basic Setup

Configure Logit with a console backend:

require "logit"

Logit.configure do |config|
  config.console(Logit::LogLevel::Debug)
end

Annotation-Based Instrumentation

Simply annotate methods with @[Logit::Log] - no includes or setup calls required:

class Calculator
  @[Logit::Log]
  def add(x : Int32, y : Int32) : Int32
    x + y
  end

  @[Logit::Log]
  def divide(x : Int32, y : Int32) : Float64
    x / y
  end
end

calc = Calculator.new
calc.add(5, 3)
calc.divide(10, 2)

Output (Human formatter):

[INFO] 2025-01-05T21:30:00.123Z Calculator.add duration=2ms args={x: 5, y: 3} return=8
[INFO] 2025-01-05T21:30:00.125Z Calculator.divide duration=1ms args={x: 10, y: 2} return=5.0

Manual Logging API

For libraries or situations where annotations aren't appropriate, Logit provides a manual logging API similar to Crystal's built-in Log:

# String-based logging
Logit.info("Processing started")
Logit.debug("User authenticated", user_id: 123)
Logit.warn("Slow query", duration_ms: 450, query: sql)

# Lazy evaluation - block only executed if logging is enabled
Logit.debug { "Expensive debug info: #{expensive_operation()}" }

# Exception logging
begin
  risky_operation
rescue ex
  Logit.exception("Operation failed", ex)
  raise ex
end

Manual log calls automatically inherit trace context from any active span:

@[Logit::Log]
def process_order(order_id : Int64)
  # This log call inherits trace_id and span_id from the annotation
  Logit.info { "Starting order processing" }
  
  validate_order(order_id)
  
  Logit.info { "Order validation complete" }
end

Crystal Log Integration

Logit can capture all calls to Crystal's built-in Log library and route them through its backends, enabling unified export to OpenTelemetry collectors.

require "logit"
require "logit/integrations/crystal_log_adapter"

# Configure Logit first
Logit.configure do |config|
  config.console(Logit::LogLevel::Debug)
  config.otlp("http://localhost:4318/v1/logs")
end

# Install the adapter
Logit::Integrations::CrystalLogAdapter.install

# All Log.info/debug/etc calls now flow through Logit
Log.info { "This is captured by Logit and exported to OTLP" }

When the adapter is installed, Crystal Log calls automatically inherit Logit's trace context:

@[Logit::Log]
def process_request
  # This Log call inherits the trace context from the span
  Log.info { "Processing request" }
  
  do_work
  
  Log.info { "Request complete" }
end

Span Events

For long-running operations, you can add intermediate events to a span without creating separate spans:

@[Logit::Log]
def process_large_file(path : String) : Result
  span = Logit::Span.current
  
  span.add_event("file.opened", path: path)
  
  data = read_file(path)
  span.add_event("file.read", bytes: data.size)
  
  result = process_data(data)
  span.add_event("file.processed", records: result.size)
  
  result
end

Span events appear in the JSON output:

{
  "name": "process_large_file",
  "events": [
    {"name": "file.opened", "timestamp": "...", "attributes": {"path": "/data/file.csv"}},
    {"name": "file.read", "timestamp": "...", "attributes": {"bytes": 1024}},
    {"name": "file.processed", "timestamp": "...", "attributes": {"records": 42}}
  ]
}

Namespace Filtering

Logit supports namespace-based filtering, allowing libraries to use Logit internally while giving applications control over which logs they see. This is similar to Crystal's built-in Log library.

Logit.configure do |c|
  console = c.console(Logit::LogLevel::Info)

  # Log everything at Info level or above
  c.bind "*", LogLevel::Info, console

  # Enable Debug logging for HTTP library
  c.bind "MyLib::HTTP::*", LogLevel::Debug, console

  # Reduce noise from database library
  c.bind "MyLib::DB::*", LogLevel::Warn, console
end

Pattern Syntax

Exact match: "MyLib::HTTP" matches only MyLib::HTTP
Single wildcard (*): Matches a single component
- "MyLib::*" matches MyLib::HTTP but not MyLib::HTTP::Client
- "MyLib::HTTP::*" matches MyLib::HTTP::Client but not MyLib::HTTP::Client::V2
Multi wildcard (**): Matches zero or more components
- "MyLib::**" matches MyLib::HTTP, MyLib::HTTP::Client, etc.
- "**" matches everything (root namespace)

Multiple Backends

Different backends can have different namespace bindings:

Logit.configure do |c|
  console = c.console(Logit::LogLevel::Info)
  file = c.file("/var/log/app.log", LogLevel::Debug)

  # Console: only show warnings from database
  c.bind "MyLib::DB::*", LogLevel::Warn, console

  # File: log everything including debug from database
  c.bind "MyLib::DB::*", LogLevel::Debug, file
end

Matching Rules

Most specific wins: When multiple patterns match, the longest (most specific) pattern takes precedence
Unmatched namespaces: Use the backend's default level
Per-backend: Bindings are scoped to each backend independently

Configuration Options

Multiple Backends

Logit.configure do |config|
  config.console(Logit::LogLevel::Debug)
  config.file("/var/log/app.log", LogLevel::Info)
end

OpenTelemetry Export

Send logs directly to an OpenTelemetry collector:

Logit.configure do |config|
  config.otlp(
    "http://localhost:4318/v1/logs",
    resource_attributes: {
      "service.name" => "my-app",
      "service.version" => "1.0.0"
    }
  )
end

Custom Formatters

require "logit/formatters/json"

Logit.configure do |config|
  backend = Logit::Backend::Console.new(
    name: "console",
    level: Logit::LogLevel::Info,
    formatter: Logit::Formatter::JSON.new
  )
  config.add_backend(backend)
end

Annotation Options

class UserService
  # Don't log arguments, use custom span name
  @[Logit::Log(log_args: false, name: "user.lookup")]
  def find_user(id : Int64) : User?
    # ...
  end

  # Don't log return value (useful for large responses)
  @[Logit::Log(log_return: false)]
  def fetch_all_users : Array(User)
    # ...
  end
end

OpenTelemetry Attributes

Logit supports OpenTelemetry semantic conventions. Set attributes on spans within instrumented methods:

class PaymentService
  @[Logit::Log]
  def process_payment(user_id : Int64, amount : Int64) : Bool
    # Access current span
    span = Logit::Span.current

    # Set OpenTelemetry attributes
    span.attributes.set("enduser.id", user_id)
    span.attributes.set("payment.amount", amount)
    span.attributes.set("payment.currency", "USD")

    # Your business logic here
    true
  end
end

JSON output includes all attributes:

{
  "trace_id": "4bf92f3577b34da6a3ce929d0e0e4736",
  "span_id": "00f067aa0ba902b7",
  "timestamp": "2025-01-05T21:30:00.123456Z",
  "duration_ms": 45,
  "name": "process_payment",
  "level": "info",
  "status": "ok",
  "code": {
    "file": "src/services/payment_service.cr",
    "line": 42,
    "function": "process_payment",
    "namespace": "PaymentService"
  },
  "attributes": {
    "enduser.id": "12345",
    "payment.amount": 1999,
    "payment.currency": "USD"
  }
}

API

`Logit.configure`

Configure the logging system with backends and tracers.

Logit.configure do |config|
  config.console(Logit::LogLevel::Debug)
  config.file("/path/to/log", LogLevel::Warn)
end

`Logit.Config#bind`

Bind a namespace pattern to a log level for a specific backend.

config.bind("MyLib::**", LogLevel::Debug, backend)

Parameters:

pattern : String - Glob pattern for namespace matching
level : LogLevel - Minimum log level for matching namespaces
backend : Backend - Backend to apply the binding to

`Logit::LogLevel`

Enum of log levels: Trace, Debug, Info, Warn, Error, Fatal.

`Logit::Span`

Represents a traced operation with duration and attributes.

span = Logit::Span.new("operation.name")
span.attributes.set("key", "value")
span.end_time = Time.utc

`Logit::Tracer`

Routes events to backends. Access the default tracer:

Logit::Tracer.default.emit(event)

Backends

Logit::Backend::Console - Outputs to STDOUT/STDERR
Logit::Backend::File - Outputs to a file
Logit::Backend::OTLP - Exports to OpenTelemetry collectors via OTLP/HTTP
Logit::Backend::Null - Discards all events (default backend)

Formatters

Logit::Formatter::Human - Human-readable text format
Logit::Formatter::JSON - JSON format (OpenTelemetry-compatible)

`Event::Attributes`

Thread-safe storage for structured attributes.

attributes = Logit::Event::Attributes.new
attributes.set("string", "value")
attributes.set("number", 42)
attributes.set("bool", true)
attributes.set_object("nested", {key: "value", count: 1})

Manual Logging Methods

Direct logging without annotations:

Logit.trace("message")      # or Logit.trace { "lazy message" }
Logit.debug("message")      # or Logit.debug { "lazy message" }
Logit.info("message")       # or Logit.info { "lazy message" }
Logit.warn("message")       # or Logit.warn { "lazy message" }
Logit.error("message")      # or Logit.error { "lazy message" }
Logit.fatal("message")      # or Logit.fatal { "lazy message" }
Logit.exception("msg", ex)  # Log exception with stack trace

Library Integration

Logit is designed to be library-friendly. By default, it uses a NullBackend that discards all events, so libraries can use Logit without imposing logging on applications.

In Your Library

# my-lib/src/my-lib.cr
require "logit"

module MyLib
  def self.query_database(sql : String) : Array(Result)
    # Use manual logging - will be silent unless app configures Logit
    Logit.debug { "Executing SQL: #{sql}" }
    
    results = DB.query(sql)
    
    Logit.info { "Query returned #{results.size} results" }
    results
  end
end

In Your Application

require "logit"

# Configure Logit to enable library logging
Logit.configure do |config|
  config.console(Logit::LogLevel::Info)
  
  # Enable debug logs for specific libraries
  config.bind "MyLib::**", Logit::LogLevel::Debug, console
end

require "my-lib"

# Now library logs will appear
MyLib.query_database("SELECT * FROM users")

See docs/library_integration.md for detailed guidance.

Contributing

Fork it
Create your feature branch (git checkout -b my-new-feature)
Commit your changes (git commit -am 'Add some feature')
Push to the branch (git push origin my-new-feature)
Create a new Pull Request

License

MIT License - see LICENSE for details.

Repository

logit

Owner

watzon

Statistic

7
0
0
0
0
2 days ago
January 6, 2026

License

MIT License

Links

Synced at

Fri, 09 Jan 2026 10:20:12 GMT

Languages

Crystal 100.0%

logit

Logit

Table of Contents

Background

Install

Usage

Basic Setup

Annotation-Based Instrumentation

Manual Logging API

Crystal Log Integration

Span Events

Namespace Filtering

Pattern Syntax

Multiple Backends

Matching Rules

Configuration Options

Multiple Backends

OpenTelemetry Export

Custom Formatters

Annotation Options

OpenTelemetry Attributes

API

Logit.configure

Logit.Config#bind

Logit::LogLevel

Logit::Span

Logit::Tracer

Backends

Formatters

Event::Attributes

Manual Logging Methods

Library Integration

In Your Library

In Your Application

Contributing

License

`Logit.configure`

`Logit.Config#bind`

`Logit::LogLevel`

`Logit::Span`

`Logit::Tracer`

`Event::Attributes`