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Elixir-native LangChain, LangGraph, and DeepAgents for traceable LLM apps: OTP workflows, tools, memory, human-in-the-loop, streaming, custom clients/adapters, minimal deps, and WeaveScope tracing.

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beam_weaver lib beam_weaver open_ai inspect.ex
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lib/beam_weaver/open_ai/inspect.ex 

defmodule BeamWeaver.OpenAI.Inspect do

  @moduledoc false



  import Inspect.Algebra



  alias BeamWeaver.Transport.Redactor



  def redacted_struct(%module{} = struct, opts) do

    fields =

      struct

      |> Map.from_struct()

      |> Redactor.redact()



    concat(["#", module_name(module), "<", to_doc(fields, opts), ">"])

  end



  defp module_name(module) do

    module

    |> Atom.to_string()

    |> String.trim_leading("Elixir.")

  end

end



defimpl Inspect,

  for: [

    BeamWeaver.OpenAI.ChatModel,

    BeamWeaver.OpenAI.ChatCompletionsModel,

    BeamWeaver.OpenAI.Client,

    BeamWeaver.OpenAI.EmbeddingModel,

    BeamWeaver.OpenAI.ModerationMiddleware,

    BeamWeaver.OpenAI.ResponsesModel

  ] do

  def inspect(struct, opts), do: BeamWeaver.OpenAI.Inspect.redacted_struct(struct, opts)

end