# Generated by SnakeBridge v0.13.0 - DO NOT EDIT MANUALLY
# Regenerate with: mix compile
# Library: dspy 3.1.2
# Python module: dspy.utils.logging_utils

defmodule Dspy.Utils.LoggingUtils do
  @moduledoc """
  Submodule bindings for `dspy.utils.logging_utils`.

  ## Version

  - Requested: 3.1.2
  - Observed at generation: 3.1.2

  ## Runtime Options

  All functions accept a `__runtime__` option for controlling execution behavior:

      Dspy.Utils.LoggingUtils.some_function(args, __runtime__: [timeout: 120_000])

  ### Supported runtime options

  - `:timeout` - Call timeout in milliseconds (default: 120,000ms / 2 minutes)
  - `:timeout_profile` - Use a named profile (`:default`, `:ml_inference`, `:batch_job`, `:streaming`)
  - `:stream_timeout` - Timeout for streaming operations (default: 1,800,000ms / 30 minutes)
  - `:session_id` - Override the session ID for this call
  - `:pool_name` - Target a specific Snakepit pool (multi-pool setups)
  - `:affinity` - Override session affinity (`:hint`, `:strict_queue`, `:strict_fail_fast`)

  ### Timeout Profiles

  - `:default` - 2 minute timeout for regular calls
  - `:ml_inference` - 10 minute timeout for ML/LLM workloads
  - `:batch_job` - Unlimited timeout for long-running jobs
  - `:streaming` - 2 minute timeout, 30 minute stream_timeout

  ### Example with timeout override

      # For a long-running ML inference call
      Dspy.Utils.LoggingUtils.predict(data, __runtime__: [timeout_profile: :ml_inference])

      # Or explicit timeout
      Dspy.Utils.LoggingUtils.predict(data, __runtime__: [timeout: 600_000])

      # Route to a pool and enforce strict affinity
      Dspy.Utils.LoggingUtils.predict(data, __runtime__: [pool_name: :strict_pool, affinity: :strict_queue])

  See `SnakeBridge.Defaults` for global timeout configuration.

  """

  @doc false
  def __snakebridge_python_name__, do: "dspy.utils.logging_utils"
  @doc false
  def __snakebridge_library__, do: "dspy"

  @doc """
  Python binding for `dspy.utils.logging_utils.configure_dspy_loggers`.

  ## Parameters

  - `root_module_name` (term())

  ## Returns

  - `term()`
  """
  @spec configure_dspy_loggers(term(), keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
  def configure_dspy_loggers(root_module_name, opts \\ []) do
    SnakeBridge.Runtime.call(__MODULE__, :configure_dspy_loggers, [root_module_name], opts)
  end

  @doc """
  Disables the `DSPyLoggingStream` used by event logging APIs throughout DSPy

  (`eprint()`, `logger.info()`, etc), silencing all subsequent event logs.

  ## Returns

  - `term()`
  """
  @spec disable_logging(keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
  def disable_logging(opts \\ []) do
    SnakeBridge.Runtime.call(__MODULE__, :disable_logging, [], opts)
  end

  @doc """
  A Python stream for use with event logging APIs throughout DSPy (`eprint()`,

  `logger.info()`, etc.). This stream wraps `sys.stderr`, forwarding `write()` and
  `flush()` calls to the stream referred to by `sys.stderr` at the time of the call.
  It also provides capabilities for disabling the stream to silence event logs.

  ## Returns

  - `Dspy.Utils.LoggingUtils.DSPyLoggingStream.t()`
  """
  @spec dspy_logging_stream() ::
          {:ok, Dspy.Utils.LoggingUtils.DSPyLoggingStream.t()} | {:error, Snakepit.Error.t()}
  def dspy_logging_stream() do
    SnakeBridge.Runtime.get_module_attr(__MODULE__, "DSPY_LOGGING_STREAM")
  end

  @doc """
  Enables the `DSPyLoggingStream` used by event logging APIs throughout DSPy

  (`eprint()`, `logger.info()`, etc), emitting all subsequent event logs. This
  reverses the effects of `disable_logging()`.

  ## Returns

  - `term()`
  """
  @spec enable_logging(keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
  def enable_logging(opts \\ []) do
    SnakeBridge.Runtime.call(__MODULE__, :enable_logging, [], opts)
  end
end