# `Tinkex.Types.SupportedModel`
[🔗](https://github.com/North-Shore-AI/tinkex/blob/v0.4.0/lib/tinkex/types/supported_model.ex#L1)

Metadata for a single supported model from the server capabilities response.

## Fields

- `model_id` - Short identifier (e.g., "llama-3-8b")
- `model_name` - Full model path (e.g., "meta-llama/Meta-Llama-3-8B")
- `arch` - Architecture type (e.g., "llama", "qwen2")

## Example

    iex> json = %{
    ...>   "model_id" => "llama-3-8b",
    ...>   "model_name" => "meta-llama/Meta-Llama-3-8B",
    ...>   "arch" => "llama"
    ...> }
    iex> model = Tinkex.Types.SupportedModel.from_json(json)
    iex> model.model_id
    "llama-3-8b"
    iex> model.arch
    "llama"

# `t`

```elixir
@type t() :: %Tinkex.Types.SupportedModel{
  arch: String.t() | nil,
  model_id: String.t() | nil,
  model_name: String.t() | nil
}
```

# `from_json`

```elixir
@spec from_json(map() | String.t()) :: t()
```

Parse a supported model from JSON map with string or atom keys.

Falls back gracefully if given a plain string (treats as model_name).
Unknown fields are ignored without error.

---

*Consult [api-reference.md](api-reference.md) for complete listing*