Elixir SDK - Untrace

Overview

The Untrace Elixir SDK provides zero-latency LLM observability with automatic instrumentation for all major LLM providers. Built on OpenTelemetry standards, it captures comprehensive trace data and routes it to your chosen observability platforms.

Quick Start

Start tracing LLM calls in minutes

Framework Support

Phoenix, LiveView, and OTP applications

OTP Integration

Built for Elixir’s actor model and supervision trees

Examples

Real-world examples and best practices

Installation

Add untrace_sdk to your list of dependencies in mix.exs:

def deps do
  [
    {:untrace_sdk, "~> 0.1.2"}
  ]
end

Then run:

mix deps.get

Quick Start

Basic Setup

# Initialize the client
{:ok, client} = Untrace.Client.start_link(api_key: "your-api-key")

# Send a trace event
{:ok, trace} = Untrace.Client.trace(client, %{
  event_type: "llm_call",
  data: %{
    model: "gpt-4",
    prompt: "Hello, world!",
    response: "Hello! How can I help you today?",
    tokens_used: 25
  },
  metadata: %{
    user_id: "user123",
    session_id: "session456"
  }
})

IO.puts("Trace created: #{trace.id}")

# Stop the client
Untrace.Client.stop(client)

Synchronous Usage

# Initialize the client
{:ok, client} = Untrace.Client.start_link(api_key: "your-api-key")

# Send a trace event
{:ok, trace} = Untrace.Client.trace(client, %{
  event_type: "llm_call",
  data: %{
    model: "gpt-4",
    prompt: "Hello, world!",
    response: "Hello! How can I help you today?"
  }
})

IO.puts("Trace created: #{trace.id}")

# Stop the client
Untrace.Client.stop(client)

GenServer Usage

# Start as part of your supervision tree
children = [
  {Untrace.Client, api_key: "your-api-key", name: :untrace_client}
]

Supervisor.start_link(children, strategy: :one_for_one)

# Use the named process
{:ok, trace} = Untrace.Client.trace(:untrace_client, %{
  event_type: "llm_call",
  data: %{model: "gpt-4", prompt: "Hello!"}
})

Configuration

Client Configuration

%{
  api_key: "your-api-key",           # Required
  base_url: "https://api.untrace.dev", # Optional, defaults to https://api.untrace.dev
  timeout: 30_000,                   # Optional, defaults to 30 seconds
  name: :untrace_client              # Optional, for named process
}

Environment Variables

The SDK supports configuration via environment variables:

# Core settings
export UNTRACE_API_KEY="your-api-key"
export UNTRACE_BASE_URL="https://api.untrace.dev"
export UNTRACE_DEBUG="true"

# OpenTelemetry settings
export OTEL_SERVICE_NAME="my-service"
export OTEL_RESOURCE_ATTRIBUTES="environment=production,version=1.0.0"

Application Configuration

# config/config.exs
import Config

config :untrace_sdk,
  api_key: System.get_env("UNTRACE_API_KEY"),
  base_url: System.get_env("UNTRACE_BASE_URL", "https://api.untrace.dev"),
  timeout: String.to_integer(System.get_env("UNTRACE_TIMEOUT", "30000")),
  debug: System.get_env("UNTRACE_DEBUG") == "true"

Framework Integration

Phoenix Framework

# lib/my_app_web/controllers/chat_controller.ex
defmodule MyAppWeb.ChatController do
  use MyAppWeb, :controller

  def create(conn, %{"message" => message}) do
    {:ok, trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: "llm_call",
      data: %{
        model: "gpt-4",
        prompt: message,
        response: "Generated response"
      },
      metadata: %{
        user_id: get_session(conn, :user_id),
        session_id: get_session(conn, :session_id)
      }
    })

    json(conn, %{response: "Generated response", trace_id: trace.id})
  end
end

Phoenix LiveView

defmodule MyAppWeb.ChatLive do
  use MyAppWeb, :live_view

  def handle_event("send_message", %{"message" => message}, socket) do
    # Trace the user interaction
    {:ok, trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: "user_interaction",
      data: %{
        action: "send_message",
        message: message
      },
      metadata: %{
        user_id: socket.assigns.current_user.id,
        session_id: socket.id
      }
    })

    # Process the message
    response = process_message(message)

    # Trace the LLM response
    {:ok, llm_trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: "llm_call",
      data: %{
        model: "gpt-4",
        prompt: message,
        response: response
      },
      metadata: %{
        parent_trace_id: trace.id,
        user_id: socket.assigns.current_user.id
      }
    })

    {:noreply, assign(socket, :messages, [%{message: message, response: response}])}
  end
end

GenServer Integration

defmodule MyApp.LLMProcessor do
  use GenServer
  require Logger

  def start_link(opts) do
    GenServer.start_link(__MODULE__, opts, name: __MODULE__)
  end

  def process_message(message) do
    GenServer.call(__MODULE__, {:process_message, message})
  end

  def init(opts) do
    {:ok, %{untrace_client: opts[:untrace_client]}}
  end

  def handle_call({:process_message, message}, _from, state) do
    # Start tracing
    {:ok, trace} = Untrace.Client.trace(state.untrace_client, %{
      event_type: "llm_processing",
      data: %{message: message}
    })

    try do
      # Process the message
      response = call_llm_api(message)

      # Update trace with response
      Untrace.Client.update_trace(state.untrace_client, trace.id, %{
        response: response,
        status: "completed"
      })

      {:reply, {:ok, response}, state}
    rescue
      error ->
        # Record error in trace
        Untrace.Client.update_trace(state.untrace_client, trace.id, %{
          error: Exception.message(error),
          status: "failed"
        })

        Logger.error("Error processing message: #{Exception.message(error)}")
        {:reply, {:error, error}, state}
    end
  end
end

Task Integration

defmodule MyApp.AsyncProcessor do
  def process_async(messages) do
    messages
    |> Enum.map(&Task.async(fn -> process_message(&1) end))
    |> Task.await_many()
  end

  defp process_message(message) do
    {:ok, trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: "async_llm_call",
      data: %{message: message}
    })

    try do
      response = call_llm_api(message)

      Untrace.Client.update_trace(:untrace_client, trace.id, %{
        response: response,
        status: "completed"
      })

      {:ok, response}
    rescue
      error ->
        Untrace.Client.update_trace(:untrace_client, trace.id, %{
          error: Exception.message(error),
          status: "failed"
        })

        {:error, error}
    end
  end
end

Advanced Usage

Custom Trace Attributes

# Create a trace with custom attributes
{:ok, trace} = Untrace.Client.trace(:untrace_client, %{
  event_type: "llm_call",
  data: %{
    model: "gpt-4",
    prompt: "What is the meaning of life?",
    response: "42",
    tokens_used: 50,
    temperature: 0.7,
    max_tokens: 100
  },
  metadata: %{
    user_id: "user123",
    session_id: "session456",
    timestamp: DateTime.utc_now() |> DateTime.to_iso8601(),
    custom_metric: 42.5,
    feature_flag: "new_ui"
  }
})

Batch Tracing

# Send multiple traces in batch
traces = [
  %{
    event_type: "llm_call",
    data: %{model: "gpt-4", prompt: "Hello 1"}
  },
  %{
    event_type: "llm_call",
    data: %{model: "gpt-4", prompt: "Hello 2"}
  },
  %{
    event_type: "llm_call",
    data: %{model: "gpt-4", prompt: "Hello 3"}
  }
]

{:ok, results} = Untrace.Client.trace_batch(:untrace_client, traces)
IO.puts("Created #{length(results)} traces")

Error Handling

case Untrace.Client.trace(:untrace_client, trace_data) do
  {:ok, trace} ->
    IO.puts("Success: #{trace.id}")

  {:error, :validation_error, message} ->
    IO.puts("Validation error: #{message}")

  {:error, :api_error, message} ->
    IO.puts("API error: #{message}")

  {:error, :network_error, reason} ->
    IO.puts("Network error: #{inspect(reason)}")
end

Context Managers

defmodule MyApp.Tracing do
  def with_trace(event_type, data, metadata \\ %{}, fun) do
    {:ok, trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: event_type,
      data: data,
      metadata: metadata
    })

    try do
      result = fun.()
      Untrace.Client.update_trace(:untrace_client, trace.id, %{status: "completed"})
      {:ok, result}
    rescue
      error ->
        Untrace.Client.update_trace(:untrace_client, trace.id, %{
          error: Exception.message(error),
          status: "failed"
        })
        {:error, error}
    end
  end
end

# Usage
{:ok, result} = MyApp.Tracing.with_trace("llm_call", %{model: "gpt-4"}, %{}, fn ->
  call_llm_api("Hello world")
end)

Telemetry Integration

The SDK emits telemetry events for monitoring:

# Listen to trace events
:telemetry.attach(
  "untrace-trace-sent",
  [:untrace, :trace, :sent],
  fn event, measurements, metadata, config ->
    IO.inspect({event, measurements, metadata, config})
  end,
  nil
)

# Listen to errors
:telemetry.attach(
  "untrace-error",
  [:untrace, :error],
  fn event, measurements, metadata, config ->
    IO.inspect({event, measurements, metadata, config})
  end,
  nil
)

# Listen to batch events
:telemetry.attach(
  "untrace-batch-sent",
  [:untrace, :batch, :sent],
  fn event, measurements, metadata, config ->
    IO.inspect({event, measurements, metadata, config})
  end,
  nil
)

Custom Telemetry Handlers

defmodule MyApp.TelemetryHandlers do
  require Logger

  def handle_trace_sent(event, measurements, metadata, _config) do
    Logger.info("Trace sent: #{metadata.trace_id}")

    # Send to your monitoring system
    send_to_monitoring(:trace_sent, measurements, metadata)
  end

  def handle_error(event, measurements, metadata, _config) do
    Logger.error("Untrace error: #{metadata.error}")

    # Send to your error tracking system
    send_to_error_tracking(:untrace_error, measurements, metadata)
  end

  defp send_to_monitoring(event, measurements, metadata) do
    # Your monitoring logic here
  end

  defp send_to_error_tracking(event, measurements, metadata) do
    # Your error tracking logic here
  end
end

# Attach handlers
:telemetry.attach_many(
  "my-app-telemetry",
  [
    {[:untrace, :trace, :sent], &MyApp.TelemetryHandlers.handle_trace_sent/4},
    {[:untrace, :error], &MyApp.TelemetryHandlers.handle_error/4}
  ],
  nil
)

Examples

OpenAI Integration

defmodule MyApp.OpenAIService do
  require Logger

  def chat(prompt) do
    {:ok, trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: "llm_call",
      data: %{
        model: "gpt-4",
        prompt: prompt
      }
    })

    try do
      # Make OpenAI API call (pseudo-code)
      response = call_openai_api(prompt)

      # Update trace with response
      Untrace.Client.update_trace(:untrace_client, trace.id, %{
        response: response,
        tokens_used: 100,
        finish_reason: "stop"
      })

      {:ok, response}
    rescue
      error ->
        # Record error in trace
        Untrace.Client.update_trace(:untrace_client, trace.id, %{
          error: Exception.message(error),
          error_type: error.__struct__.__name__
        })

        Logger.error("OpenAI API error: #{Exception.message(error)}")
        {:error, error}
    end
  end

  defp call_openai_api(prompt) do
    # Your OpenAI API call implementation
    "Generated response for: #{prompt}"
  end
end

Batch Processing

defmodule MyApp.BatchProcessor do
  def process_prompts(prompts) do
    prompts
    |> Enum.with_index()
    |> Enum.map(fn {prompt, index} ->
      Task.async(fn -> process_prompt(prompt, index) end)
    end)
    |> Task.await_many()
  end

  defp process_prompt(prompt, index) do
    {:ok, trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: "batch_processing",
      data: %{
        model: "gpt-4",
        prompt: prompt,
        batch_index: index
      }
    })

    try do
      response = call_llm_api(prompt)

      Untrace.Client.update_trace(:untrace_client, trace.id, %{
        response: response,
        status: "completed"
      })

      {:ok, response}
    rescue
      error ->
        Untrace.Client.update_trace(:untrace_client, trace.id, %{
          error: Exception.message(error),
          status: "failed"
        })

        {:error, error}
    end
  end
end

Stream Processing

defmodule MyApp.StreamProcessor do
  def process_stream(stream) do
    stream
    |> Stream.map(&process_item/1)
    |> Stream.run()
  end

  defp process_item(item) do
    {:ok, trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: "stream_processing",
      data: %{item: item}
    })

    try do
      result = process_item_logic(item)

      Untrace.Client.update_trace(:untrace_client, trace.id, %{
        result: result,
        status: "completed"
      })

      result
    rescue
      error ->
        Untrace.Client.update_trace(:untrace_client, trace.id, %{
          error: Exception.message(error),
          status: "failed"
        })

        raise error
    end
  end

  defp process_item_logic(item) do
    # Your processing logic here
    "Processed: #{item}"
  end
end

OTP Integration

Supervision Tree

defmodule MyApp.Application do
  use Application

  def start(_type, _args) do
    children = [
      # Start Untrace client
      {Untrace.Client, api_key: System.get_env("UNTRACE_API_KEY"), name: :untrace_client},

      # Your other children
      MyApp.LLMProcessor,
      MyApp.BatchProcessor
    ]

    Supervisor.start_link(children, strategy: :one_for_one)
  end
end

Dynamic Supervision

defmodule MyApp.DynamicProcessor do
  use DynamicSupervisor

  def start_link(init_arg) do
    DynamicSupervisor.start_link(__MODULE__, init_arg, name: __MODULE__)
  end

  def init(_init_arg) do
    DynamicSupervisor.init(strategy: :one_for_one)
  end

  def start_processor(prompt) do
    child_spec = %{
      id: make_ref(),
      start: {MyApp.Processor, :start_link, [prompt]},
      restart: :temporary
    }

    DynamicSupervisor.start_child(__MODULE__, child_spec)
  end
end

defmodule MyApp.Processor do
  use GenServer

  def start_link(prompt) do
    GenServer.start_link(__MODULE__, prompt)
  end

  def init(prompt) do
    {:ok, trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: "dynamic_processing",
      data: %{prompt: prompt}
    })

    # Process the prompt
    send(self(), :process)

    {:ok, %{prompt: prompt, trace: trace}}
  end

  def handle_info(:process, state) do
    # Process the prompt
    result = call_llm_api(state.prompt)

    Untrace.Client.update_trace(:untrace_client, state.trace.id, %{
      result: result,
      status: "completed"
    })

    {:stop, :normal, state}
  end
end

Best Practices

1. Use Named Processes

# Good: Use named processes for easy access
{:ok, _pid} = Untrace.Client.start_link(api_key: "your-api-key", name: :untrace_client)
Untrace.Client.trace(:untrace_client, trace_data)

# Avoid: Managing PIDs manually
{:ok, pid} = Untrace.Client.start_link(api_key: "your-api-key")
Untrace.Client.trace(pid, trace_data)

2. Handle Errors Gracefully

def safe_trace(event_type, data, metadata \\ %{}) do
  case Untrace.Client.trace(:untrace_client, %{
    event_type: event_type,
    data: data,
    metadata: metadata
  }) do
    {:ok, trace} -> {:ok, trace}
    {:error, reason, message} ->
      Logger.error("Trace failed: #{reason} - #{message}")
      {:error, {reason, message}}
  end
end

3. Use Context Managers

defmodule MyApp.Tracing do
  def with_trace(event_type, data, metadata \\ %{}, fun) do
    {:ok, trace} = Untrace.Client.trace(:untrace_client, %{
      event_type: event_type,
      data: data,
      metadata: metadata
    })

    try do
      result = fun.()
      Untrace.Client.update_trace(:untrace_client, trace.id, %{status: "completed"})
      {:ok, result}
    rescue
      error ->
        Untrace.Client.update_trace(:untrace_client, trace.id, %{
          error: Exception.message(error),
          status: "failed"
        })
        {:error, error}
    end
  end
end

4. Initialize in Application

# Good: Initialize in application supervision tree
defmodule MyApp.Application do
  use Application

  def start(_type, _args) do
    children = [
      {Untrace.Client, api_key: System.get_env("UNTRACE_API_KEY"), name: :untrace_client},
      # ... other children
    ]

    Supervisor.start_link(children, strategy: :one_for_one)
  end
end

Troubleshooting

Common Issues

No traces appearing

Connection timeouts

Process crashes

Memory usage

API Reference

Untrace.Client

The main client module for interacting with the Untrace API.

Functions

start_link/1: Start a new client process
trace/2: Send a trace event
trace_batch/2: Send multiple traces in batch
update_trace/3: Update an existing trace
get_trace/2: Retrieve a trace by ID
stop/1: Stop the client process

Configuration

%{
  api_key: "your-api-key",           # Required
  base_url: "https://api.untrace.dev", # Optional, defaults to https://api.untrace.dev
  timeout: 30_000,                   # Optional, defaults to 30 seconds
  name: :untrace_client              # Optional, for named process
}

Error Types

{:error, :validation_error, message}: Raised when request validation fails
{:error, :api_error, message}: Raised when API requests fail
{:error, :network_error, reason}: Raised when network requests fail

Support

Documentation: https://docs.untrace.dev
GitHub Issues: https://github.com/untrace-dev/untrace/issues
Discord Community: Join our Discord
Email Support: support@untrace.dev

Next Steps

Dashboard Guide

Learn to use the Untrace dashboard

Configuration

Configure your observability setup

Examples

Browse Elixir example implementations

API Reference

Complete API documentation

Get Started

Core Features

SDK Reference

Advanced

Reference

Development

​Overview

Quick Start

Framework Support

OTP Integration

Examples

​Installation

​Quick Start

​Basic Setup

​Synchronous Usage

​GenServer Usage

​Configuration

​Client Configuration

​Environment Variables

​Application Configuration

​Framework Integration

​Phoenix Framework

​Phoenix LiveView

​GenServer Integration

​Task Integration

​Advanced Usage

​Custom Trace Attributes

​Batch Tracing

​Error Handling

​Context Managers

​Telemetry Integration

​Custom Telemetry Handlers

​Examples

​OpenAI Integration

​Batch Processing

​Stream Processing

​OTP Integration

​Supervision Tree

​Dynamic Supervision

​Best Practices

​1. Use Named Processes

​2. Handle Errors Gracefully

​3. Use Context Managers

​4. Initialize in Application

​Troubleshooting

​Common Issues

​API Reference

​Untrace.Client

​Functions

​Configuration

​Error Types

​Support

​Next Steps

Dashboard Guide

Configuration

Examples

API Reference

Overview

Installation

Quick Start

Basic Setup

Synchronous Usage

GenServer Usage

Configuration

Client Configuration

Environment Variables

Application Configuration

Framework Integration

Phoenix Framework

Phoenix LiveView

GenServer Integration

Task Integration

Advanced Usage

Custom Trace Attributes

Batch Tracing

Error Handling

Context Managers

Telemetry Integration

Custom Telemetry Handlers

Examples

OpenAI Integration

Batch Processing

Stream Processing

OTP Integration

Supervision Tree

Dynamic Supervision

Best Practices

1. Use Named Processes

2. Handle Errors Gracefully

3. Use Context Managers

4. Initialize in Application

Troubleshooting

Common Issues

API Reference

Untrace.Client

Functions

Configuration

Error Types

Support

Next Steps