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Universal LLM API client with Rust-powered polyglot bindings.

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liter_llm lib liter_llm chat_completion_request.ex
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lib/liter_llm/chat_completion_request.ex 

# This file is auto-generated by alef — DO NOT EDIT.

# alef:hash:b34f5dac0a6af082b71cab3b75e126050fd38402a73d6d3ff06130b6fe7d8875

# To regenerate: alef generate

# To verify freshness: alef verify --exit-code

defmodule LiterLlm.ChatCompletionRequest do

  @moduledoc "Chat completion request (compatible with OpenAI and similar APIs)."



  @typedoc "Chat completion request (compatible with OpenAI and similar APIs)."

  @type t :: %__MODULE__{

  model: String.t() | nil,

  messages: [String.t() | nil],

  temperature: float() | nil,

  top_p: float() | nil,

  n: non_neg_integer() | nil,

  stream: boolean() | nil,

  stop: String.t() | nil | nil,

  max_tokens: non_neg_integer() | nil,

  presence_penalty: float() | nil,

  frequency_penalty: float() | nil,

  logit_bias: map() | nil,

  user: String.t() | nil,

  tools: [LiterLlm.ChatCompletionTool.t()] | nil,

  tool_choice: String.t() | nil | nil,

  parallel_tool_calls: boolean() | nil,

  response_format: String.t() | nil | nil,

  stream_options: LiterLlm.StreamOptions.t() | nil,

  seed: integer() | nil,

  reasoning_effort: String.t() | nil | nil,

  modalities: [String.t() | nil] | nil,

  extra_body: String.t() | nil

  }



  defstruct model: nil,

  messages: [],

  temperature: nil,

  top_p: nil,

  n: nil,

  stream: nil,

  stop: nil,

  max_tokens: nil,

  presence_penalty: nil,

  frequency_penalty: nil,

  logit_bias: nil,

  user: nil,

  tools: nil,

  tool_choice: nil,

  parallel_tool_calls: nil,

  response_format: nil,

  stream_options: nil,

  seed: nil,

  reasoning_effort: nil,

  modalities: nil,

  extra_body: nil



  defimpl Jason.Encoder do

    @doc false

    def encode(value, opts) do

      value

      |> Map.from_struct()

    |> Enum.reject(fn {_k, v} -> v == nil end)

      |> Enum.into(%{})

      |> Jason.Encoder.encode(opts)

    end

  end

end