### linear function example

Source: https://hexdocs.pm/promgleam/promgleam/buckets.html

Example usage of the linear function to create 4 buckets starting at 1.0 with a step of 3.0.

```gleam
let assert Ok([1.0, 4.0, 7.0, 10.0]) = linear(start: 1.0, step: 3.0, count: 4)
```

--------------------------------

### exponential function example

Source: https://hexdocs.pm/promgleam/promgleam/buckets.html

Example usage of the exponential function to create 4 buckets starting at 1.0 with a factor of 2.

```gleam
let assert Ok([1.0, 2.0, 4.0, 8.0]) = exponential(start: 1.0, factor: 2, count: 4)
```

--------------------------------

### create_gauge example

Source: https://hexdocs.pm/promgleam/promgleam/metrics/gauge.html

Example of creating a gauge metric named 'cache_size' with a help text and a label 'cache_name'.

```gleam
create_gauge(
  registry: "default",
  name: "cache_size",
  help: "Number of items in the cache",
  labels: [ "cache_name" ],
)

```

--------------------------------

### Install PromGleam

Source: https://hexdocs.pm/promgleam/index.html

Add the library to your Gleam project using the gleam CLI.

```bash
gleam add promgleam
```

--------------------------------

### measure_histogram usage examples

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

Examples showing how to measure function execution time using the use keyword or pipe operator.

```gleam
fn my_function_to_measure() {
  use <- measure_histogram(
    registry: "default",
    name: "function_execution_time",
    labels: [ "my_function_to_measure" ],
  )

  // Do something slow here

  "return_value"
}

let assert Ok("return_value") = my_function_to_measure()
```

```gleam
fn my_function_to_measure() {
  // Do something slow here

  "return_value"
}

let assert Ok("return_value") =
  my_function_to_measure
  |> measure_histogram(
    registry: "default",
    name: "function_execution_time",
    labels: [ "my_function_to_measure" ],
    func: _
  )
```

--------------------------------

### create_histogram usage example

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

Example of creating a histogram for HTTP request durations.

```gleam
create_histogram(
  registry: "default",
  name: "http_request_duration_seconds",
  help: "Duration of HTTP requests in seconds",
  labels: [ "method", "route", "status" ],
  buckets: [ 0.1, 0.25, 0.5, 1.0, 1.5 ],
)
```

--------------------------------

### create_counter example

Source: https://hexdocs.pm/promgleam/promgleam/metrics/counter.html

Example usage of create_counter to create a counter named 'http_requests_total' with labels for method, route, and status.

```gleam
create_counter(
  registry: "default",
  name: "http_requests_total",
  help: "Total number of HTTP requests",
  labels: [ "method", "route", "status" ],
)

```

--------------------------------

### set_gauge example

Source: https://hexdocs.pm/promgleam/promgleam/metrics/gauge.html

Example of setting the gauge 'cache_size' to 123 with label 'image_cache'.

```gleam
set_gauge(
  registry: "default",
  name: "cache_size",
  labels: [ "image_cache" ],
  value: 123,
)

```

--------------------------------

### increment_counter example

Source: https://hexdocs.pm/promgleam/promgleam/metrics/counter.html

Example usage of increment_counter to increment the 'http_requests_total' counter by 1 with label values for GET, /, and 200.

```gleam
increment_counter(
  registry: "default",
  name: "http_requests_total",
  labels: [ "GET", "/", "200" ],
  value: 1,
)

```

--------------------------------

### measure_histogram_seconds usage examples

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

Examples showing how to measure function execution time in seconds using the use keyword or pipe operator.

```gleam
fn my_function_to_measure() {
  use <- measure_histogram_seconds(
    registry: "default",
    name: "function_execution_time",
    labels: [ "my_function_to_measure" ],
  )

  // Do something slow here

  "return_value"
}

let assert Ok("return_value") = my_function_to_measure()
```

```gleam
fn my_function_to_measure() {
  // Do something slow here

  "return_value"
}

let assert Ok("return_value") =
  my_function_to_measure
  |> measure_histogram_seconds(
    registry: "default",
    name: "function_execution_time",
    labels: [ "my_function_to_measure" ],
    func: _
  )
```

--------------------------------

### observe_histogram usage example

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

Example of observing a value in a histogram.

```gleam
observe_histogram(
  registry: "default",
  name: "http_request_duration_seconds",
  labels: [ "GET", "/", "200" ],
  value: 0.23,
)
```

--------------------------------

### linear

Source: https://hexdocs.pm/promgleam/promgleam/buckets.html

Creates count buckets, each step wide, where the lowest bucket has an upper bound of start.

```APIDOC
## linear

### Description
Creates `count` buckets, each `step` wide, where the lowest bucket has an upper bound of `start`.

### Function Signature
```gleam
pub fn linear(
  start start: Float,
  step step: Float,
  count count: Int,
) -> Result(List(Float), String)
```

### Parameters
- **start** (Float) - Required - The upper bound of the lowest bucket.
- **step** (Float) - Required - The width of each bucket.
- **count** (Int) - Required - The number of buckets to create.

### Returns
- **Result(List(Float), String)** - A list of bucket upper bounds, or an error string.

### Example
```gleam
let assert Ok([1.0, 4.0, 7.0, 10.0]) = linear(start: 1.0, step: 3.0, count: 4)
```
```

--------------------------------

### measure function usage

Source: https://hexdocs.pm/promgleam/promgleam/utils.html

Example showing how to use the measure function to capture the execution time of a custom function.

```gleam
fn my_func() {
  "wibble"
}

let assert #(time_taken, "wibble") = measure(my_func)
```

--------------------------------

### exponential

Source: https://hexdocs.pm/promgleam/promgleam/buckets.html

Creates count buckets, where the lowest bucket has an upper bound of start and each following bucket's upper bound is factor times the previous bucket's upper bound.

```APIDOC
## exponential

### Description
Creates `count` buckets, where the lowest bucket has an upper bound of `start` and each following bucket's upper bound is `factor` times the previous bucket's upper bound.

### Function Signature
```gleam
pub fn exponential(
  start start: Float,
  factor factor: Int,
  count count: Int,
) -> Result(List(Float), String)
```

### Parameters
- **start** (Float) - Required - The upper bound of the lowest bucket.
- **factor** (Int) - Required - The multiplier for each subsequent bucket's upper bound.
- **count** (Int) - Required - The number of buckets to create.

### Returns
- **Result(List(Float), String)** - A list of bucket upper bounds, or an error string.

### Example
```gleam
let assert Ok([1.0, 2.0, 4.0, 8.0]) = exponential(start: 1.0, factor: 2, count: 4)
```
```

--------------------------------

### print_as_protobuf function signature

Source: https://hexdocs.pm/promgleam/promgleam/registry.html

Serialises the registry using the Prometheus Protobuf format. The function takes the registry name as a String and returns a BitArray.

```gleam
pub fn print_as_protobuf(
  registry_name registry_name: String,
) -> BitArray
```

--------------------------------

### print_as_protobuf

Source: https://hexdocs.pm/promgleam/promgleam/registry.html

Serialises the registry using the Prometheus Protobuf format.

```APIDOC
## print_as_protobuf

### Description
Serialises the registry using the Prometheus Protobuf format.

### Function Signature
pub fn print_as_protobuf(registry_name: String) -> BitArray

### Parameters
- **registry_name** (String) - The name of the registry to serialize.

### Return Value
BitArray - The serialized registry in Prometheus Protobuf format.
```

--------------------------------

### print_as_text function signature

Source: https://hexdocs.pm/promgleam/promgleam/registry.html

Serialises the registry using the Prometheus text-based format. The function takes the registry name as a String and returns a String.

```gleam
pub fn print_as_text(
  registry_name registry_name: String,
) -> String
```

--------------------------------

### Create and observe a Histogram

Source: https://hexdocs.pm/promgleam/index.html

Histograms sample observations like durations or sizes into configurable buckets.

```gleam
import promgleam/metrics/histogram.{create_histogram, observe_histogram}

create_histogram(
  registry: "default",
  name: "http_request_duration_seconds",
  help: "Duration of HTTP requests in seconds",
  labels: [ "method", "route", "status" ],
  buckets: [ 0.1, 0.25, 0.5, 1.0, 1.5 ],
)

observe_histogram(
  registry: "default",
  name: "http_request_duration_seconds",
  labels: [ "GET", "/", "200" ],
  value: 0.23,
)
```

--------------------------------

### print_as_text

Source: https://hexdocs.pm/promgleam/promgleam/registry.html

Serialises the registry using the Prometheus text-based format.

```APIDOC
## print_as_text

### Description
Serialises the registry using the Prometheus text-based format.

### Function Signature
pub fn print_as_text(registry_name: String) -> String

### Parameters
- **registry_name** (String) - The name of the registry to serialize.

### Return Value
String - The serialized registry in Prometheus text-based format.
```

--------------------------------

### Print metric registry contents

Source: https://hexdocs.pm/promgleam/index.html

Serialize the registry using either text-based format or Protobuf format.

```gleam
import promgleam/registry.{print_as_text, print_as_protobuf}

print_as_text(registry_name: "default")
print_as_protobuf(registry_name: "default")
```

--------------------------------

### create_counter

Source: https://hexdocs.pm/promgleam/promgleam/metrics/counter.html

Creates a new Counter metric with the given registry, name, help text, and labels. Returns a Result indicating success or an error string.

```APIDOC
## create_counter

### Description
Creates a new Counter metric.

### Function Signature
pub fn create_counter(
  registry registry: String,
  name name: String,
  help help: String,
  labels labels: List(String),
) -> Result(Nil, String)

### Parameters
- **registry** (String) - Required - The registry to create the counter in.
- **name** (String) - Required - The name of the counter metric.
- **help** (String) - Required - Help text describing the counter.
- **labels** (List(String)) - Required - List of label names for the counter.

### Return Value
Result(Nil, String) - Ok(Nil) on success, or Error(String) on failure.

### Example
```gleam
create_counter(
  registry: "default",
  name: "http_requests_total",
  help: "Total number of HTTP requests",
  labels: [ "method", "route", "status" ],
)
```
```

--------------------------------

### create_gauge

Source: https://hexdocs.pm/promgleam/promgleam/metrics/gauge.html

Creates a new Gauge metric.

```APIDOC
## create_gauge

### Description
Creates a new Gauge metric.

### Function Signature
pub fn create_gauge(registry: String, name: String, help: String, labels: List(String)) -> Result(Nil, String)

### Parameters
- **registry** (String) - Required - The registry to create the gauge in.
- **name** (String) - Required - The name of the gauge metric.
- **help** (String) - Required - Help text describing the metric.
- **labels** (List(String)) - Required - List of label names for the metric.

### Return Value
Result(Nil, String) - Returns Ok(Nil) on success, or an error string on failure.

### Example
```gleam
create_gauge(
  registry: "default",
  name: "cache_size",
  help: "Number of items in the cache",
  labels: [ "cache_name" ],
)
```
```

--------------------------------

### create_counter function signature

Source: https://hexdocs.pm/promgleam/promgleam/metrics/counter.html

Defines the create_counter function that creates a new Counter metric. It takes a registry name, metric name, help text, and a list of label names, returning a Result.

```gleam
pub fn create_counter(
  registry registry: String,
  name name: String,
  help help: String,
  labels labels: List(String),
) -> Result(Nil, String)

```

--------------------------------

### Create and set a Gauge

Source: https://hexdocs.pm/promgleam/index.html

Gauges represent numerical values that can fluctuate, such as memory usage or concurrent request counts.

```gleam
import promgleam/metrics/gauge.{create_gauge, set_gauge}

create_gauge(
  registry: "default",
  name: "cache_size",
  help: "Number of items in the cache",
  labels: [ "cache_name" ],
)

set_gauge(
  registry: "default",
  name: "cache_size",
  labels: [ "image_cache" ],
  value: 123,
)
```

--------------------------------

### Generate Histogram buckets

Source: https://hexdocs.pm/promgleam/index.html

Utility functions for creating exponential or linear buckets for Histograms.

```gleam
import promgleam/buckets.{exponential, linear}

exponential(start: 1.0, factor: 2, count: 5) // Ok([1.0, 2.0, 4.0, 8.0, 10.0])
linear(start: 1.0, step: 3.0, count: 4) // Ok([1.0, 4.0, 7.0, 10.0])
```

--------------------------------

### create_histogram

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

Creates a new Histogram metric with the given registry, name, help, labels, and buckets.

```APIDOC
## create_histogram

### Description
Creates a new Histogram metric.

### Function Signature
```gleam
pub fn create_histogram(
  registry registry: String,
  name name: String,
  help help: String,
  labels labels: List(String),
  buckets buckets: List(Float),
) -> Result(Nil, String)
```

### Parameters
- `registry` (String) - Required - The registry to create the histogram in.
- `name` (String) - Required - The name of the histogram metric.
- `help` (String) - Required - Help text describing the histogram.
- `labels` (List(String)) - Required - List of label names for the histogram.
- `buckets` (List(Float)) - Required - List of bucket boundaries for the histogram.

### Returns
- `Result(Nil, String)` - Ok(Nil) on success, or Error(String) on failure.

### Example
```gleam
create_histogram(
  registry: "default",
  name: "http_request_duration_seconds",
  help: "Duration of HTTP requests in seconds",
  labels: [ "method", "route", "status" ],
  buckets: [ 0.1, 0.25, 0.5, 1.0, 1.5 ],
)
```
```

--------------------------------

### Measure function execution time with Histogram

Source: https://hexdocs.pm/promgleam/index.html

Use measure_histogram to automatically wrap a function and record its execution time.

```gleam
import promgleam/metrics/histogram.{measure_histogram}

fn my_function_to_measure() {
  use <- measure_histogram(
    registry: "default",
    name: "function_execution_time",
    labels: [ "my_function_to_measure" ],
  )

  // Do something slow here
}
```

--------------------------------

### create_gauge function signature

Source: https://hexdocs.pm/promgleam/promgleam/metrics/gauge.html

Function signature for creating a new gauge metric. Takes registry, name, help, and labels, and returns a Result.

```gleam
pub fn create_gauge(
  registry registry: String,
  name name: String,
  help help: String,
  labels labels: List(String),
) -> Result(Nil, String)

```

--------------------------------

### Create and increment a Counter

Source: https://hexdocs.pm/promgleam/index.html

Counters are cumulative metrics that only increase or reset to zero. Use them for tracking requests, tasks, or errors.

```gleam
import promgleam/metrics/counter.{create_counter, increment_counter}

create_counter(
  registry: "default",
  name: "http_requests_total",
  help: "Total number of HTTP requests",
  labels: [ "method", "route", "status" ],
)

increment_counter(
  registry: "default",
  name: "http_requests_total",
  labels: [ "GET", "/", "200" ],
  value: 1,
)
```

--------------------------------

### create_histogram function signature

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

The signature for creating a new Histogram metric.

```gleam
pub fn create_histogram(
  registry registry: String,
  name name: String,
  help help: String,
  labels labels: List(String),
  buckets buckets: List(Float),
) -> Result(Nil, String)
```

--------------------------------

### measure_histogram_seconds function signature

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

The signature for measuring function execution time in seconds.

```gleam
pub fn measure_histogram_seconds(
  registry registry: String,
  name name: String,
  labels labels: List(String),
  func func: fn() -> a,
) -> Result(a, String)
```

--------------------------------

### measure

Source: https://hexdocs.pm/promgleam/promgleam/utils.html

Measures the execution time of a function in milliseconds and returns the time along with the function's return value.

```APIDOC
## measure

### Description
Measures the execution time of a function in milliseconds, then returns that with the function return value in a tuple.

### Signature
pub fn measure(func: fn() -> a) -> #(Int, a)

### Parameters
- **func** (fn() -> a) - Required - The function to measure.

### Returns
- **#(Int, a)** - A tuple containing the execution time in milliseconds and the function's return value.

### Example
```gleam
fn my_func() {
  "wibble"
}

let assert #(time_taken, "wibble") = measure(my_func)
```
```

--------------------------------

### exponential function definition

Source: https://hexdocs.pm/promgleam/promgleam/buckets.html

Defines the exponential function signature for generating histogram buckets.

```gleam
pub fn exponential(
  start start: Float,
  factor factor: Int,
  count count: Int,
) -> Result(List(Float), String)
```

--------------------------------

### measure_histogram function signature

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

The signature for measuring function execution time in milliseconds.

```gleam
pub fn measure_histogram(
  registry registry: String,
  name name: String,
  labels labels: List(String),
  func func: fn() -> a,
) -> Result(a, String)
```

--------------------------------

### set_gauge function signature

Source: https://hexdocs.pm/promgleam/promgleam/metrics/gauge.html

Function signature for setting the value of a gauge metric. Takes registry, name, labels, and value, and returns a Result.

```gleam
pub fn set_gauge(
  registry registry: String,
  name name: String,
  labels labels: List(String),
  value value: Int,
) -> Result(Nil, String)

```

--------------------------------

### linear function definition

Source: https://hexdocs.pm/promgleam/promgleam/buckets.html

Defines the linear function signature for generating histogram buckets.

```gleam
pub fn linear(
  start start: Float,
  step step: Float,
  count count: Int,
) -> Result(List(Float), String)
```

--------------------------------

### measure_histogram_seconds

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

Measures a function execution time in seconds and observes that in the Histogram.

```APIDOC
## measure_histogram_seconds

### Description
Measures a function execution time in seconds and observes that in the Histogram.

### Function Signature
```gleam
pub fn measure_histogram_seconds(
  registry registry: String,
  name name: String,
  labels labels: List(String),
  func func: fn() -> a,
) -> Result(a, String)
```

### Parameters
- `registry` (String) - Required - The registry to use.
- `name` (String) - Required - The name of the histogram metric.
- `labels` (List(String)) - Required - List of label values for the observation.
- `func` (fn() -> a) - Required - The function to measure.

### Returns
- `Result(a, String)` - Ok(the function's return value) on success, or Error(String) on failure.

### Example
```gleam
fn my_function_to_measure() {
  use <- measure_histogram_seconds(
    registry: "default",
    name: "function_execution_time",
    labels: [ "my_function_to_measure" ],
  )

  // Do something slow here

  "return_value"
}

let assert Ok("return_value") = my_function_to_measure()
```

```gleam
fn my_function_to_measure() {
  // Do something slow here

  "return_value"
}

let assert Ok("return_value") =
  my_function_to_measure
  |> measure_histogram_seconds(
    registry: "default",
    name: "function_execution_time",
    labels: [ "my_function_to_measure" ],
    func: _
  )
```
```

--------------------------------

### set_gauge

Source: https://hexdocs.pm/promgleam/promgleam/metrics/gauge.html

Sets the value of the Gauge.

```APIDOC
## set_gauge

### Description
Sets the value of the Gauge.

### Function Signature
pub fn set_gauge(registry: String, name: String, labels: List(String), value: Int) -> Result(Nil, String)

### Parameters
- **registry** (String) - Required - The registry containing the gauge.
- **name** (String) - Required - The name of the gauge metric.
- **labels** (List(String)) - Required - List of label values identifying the gauge.
- **value** (Int) - Required - The value to set the gauge to.

### Return Value
Result(Nil, String) - Returns Ok(Nil) on success, or an error string on failure.

### Example
```gleam
set_gauge(
  registry: "default",
  name: "cache_size",
  labels: [ "image_cache" ],
  value: 123,
)
```
```

--------------------------------

### observe_histogram function signature

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

The signature for observing a specific value in a histogram.

```gleam
pub fn observe_histogram(
  registry registry: String,
  name name: String,
  labels labels: List(String),
  value value: Float,
) -> Result(Nil, String)
```

--------------------------------

### increment_counter function signature

Source: https://hexdocs.pm/promgleam/promgleam/metrics/counter.html

Defines the increment_counter function that increments a counter by a given value. It takes a registry name, metric name, label values, and an integer value, returning a Result.

```gleam
pub fn increment_counter(
  registry registry: String,
  name name: String,
  labels labels: List(String),
  value value: Int,
) -> Result(Nil, String)

```

--------------------------------

### clear_registry

Source: https://hexdocs.pm/promgleam/promgleam/registry.html

Removes all previously registered metrics from a specified registry.

```APIDOC
## clear_registry

### Description
Removes all the previously registered metrics from a registry.

### Function Signature
pub fn clear_registry(name: String) -> Nil

### Parameters
- **name** (String) - The name of the registry to clear.

### Return Value
Nil
```

--------------------------------

### measure_histogram

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

Measures a function execution time in milliseconds and observes that in the Histogram.

```APIDOC
## measure_histogram

### Description
Measures a function execution time in milliseconds and observes that in the Histogram.

### Function Signature
```gleam
pub fn measure_histogram(
  registry registry: String,
  name name: String,
  labels labels: List(String),
  func func: fn() -> a,
) -> Result(a, String)
```

### Parameters
- `registry` (String) - Required - The registry to use.
- `name` (String) - Required - The name of the histogram metric.
- `labels` (List(String)) - Required - List of label values for the observation.
- `func` (fn() -> a) - Required - The function to measure.

### Returns
- `Result(a, String)` - Ok(the function's return value) on success, or Error(String) on failure.

### Example
```gleam
fn my_function_to_measure() {
  use <- measure_histogram(
    registry: "default",
    name: "function_execution_time",
    labels: [ "my_function_to_measure" ],
  )

  // Do something slow here

  "return_value"
}

let assert Ok("return_value") = my_function_to_measure()
```

```gleam
fn my_function_to_measure() {
  // Do something slow here

  "return_value"
}

let assert Ok("return_value") =
  my_function_to_measure
  |> measure_histogram(
    registry: "default",
    name: "function_execution_time",
    labels: [ "my_function_to_measure" ],
    func: _
  )
```
```

--------------------------------

### clear_registry function signature

Source: https://hexdocs.pm/promgleam/promgleam/registry.html

Removes all previously registered metrics from a registry. The function takes the registry name as a String and returns Nil.

```gleam
pub fn clear_registry(name: String) -> Nil
```

--------------------------------

### measure function signature

Source: https://hexdocs.pm/promgleam/promgleam/utils.html

The signature for the measure function which takes a function and returns a tuple containing the execution time in milliseconds and the function's result.

```gleam
pub fn measure(func: fn() -> a) -> #(Int, a)
```

--------------------------------

### observe_histogram

Source: https://hexdocs.pm/promgleam/promgleam/metrics/histogram.html

Observes a value in the Histogram.

```APIDOC
## observe_histogram

### Description
Observes a value in the Histogram.

### Function Signature
```gleam
pub fn observe_histogram(
  registry registry: String,
  name name: String,
  labels labels: List(String),
  value value: Float,
) -> Result(Nil, String)
```

### Parameters
- `registry` (String) - Required - The registry to use.
- `name` (String) - Required - The name of the histogram metric.
- `labels` (List(String)) - Required - List of label values for the observation.
- `value` (Float) - Required - The value to observe.

### Returns
- `Result(Nil, String)` - Ok(Nil) on success, or Error(String) on failure.

### Example
```gleam
observe_histogram(
  registry: "default",
  name: "http_request_duration_seconds",
  labels: [ "GET", "/", "200" ],
  value: 0.23,
)
```
```

--------------------------------

### Buckets type definition

Source: https://hexdocs.pm/promgleam/promgleam/buckets.html

The Buckets type is defined as a list of floats.

```gleam
pub type Buckets =
  List(Float)
```

--------------------------------

### increment_counter

Source: https://hexdocs.pm/promgleam/promgleam/metrics/counter.html

Increments an existing Counter metric with the given value. Returns a Result indicating success or an error string.

```APIDOC
## increment_counter

### Description
Increments the Counter with the given value.

### Function Signature
pub fn increment_counter(
  registry registry: String,
  name name: String,
  labels labels: List(String),
  value value: Int,
) -> Result(Nil, String)

### Parameters
- **registry** (String) - Required - The registry where the counter is registered.
- **name** (String) - Required - The name of the counter metric.
- **labels** (List(String)) - Required - List of label values for the increment.
- **value** (Int) - Required - The value to increment the counter by.

### Return Value
Result(Nil, String) - Ok(Nil) on success, or Error(String) on failure.

### Example
```gleam
increment_counter(
  registry: "default",
  name: "http_requests_total",
  labels: [ "GET", "/", "200" ],
  value: 1,
)
```
```

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