Enum OpenAiModel 

pub enum OpenAiModel {
    Gpt5,
    Gpt5Nano,
    Gpt5Mini,
    Gpt5Pro,
    Gpt5_1,
    Gpt5_1Codex,
    Gpt5_1CodexMini,
    Gpt5_1CodexMax,
    Gpt5_2,
    Gpt5_2Pro,
    Gpt5_2Codex,
    Gpt5_3,
    Gpt5_3Codex,
    Gpt5_4,
    Gpt5_4Pro,
    Gpt5Codex,
    Gpt4_1,
    Gpt4_1Mini,
    Gpt4_1Nano,
    Gpt4o,
    Gpt4oMini,
    O3,
    O3Mini,
    O4Mini,
}

Exhaustive list of models officially supported by the OpenAI back-end.

Keeping the list small avoids accidental typos while still allowing arbitrary model names through Model::Custom.

Variants

Gpt5

Gpt5Nano

Gpt5Mini

Gpt5Pro

Gpt5_1

Gpt5_1Codex

Gpt5_1CodexMini

Gpt5_1CodexMax

Gpt5_2

Gpt5_2Pro

Gpt5_2Codex

Gpt5_3

Gpt5_3Codex

Gpt5_4

Gpt5_4Pro

Gpt5Codex

Gpt4_1

Gpt4_1Mini

Gpt4_1Nano

Gpt4o

Gpt4oMini

O3

O3Mini

O4Mini

Trait Implementations

impl AsRef<str> for OpenAiModel

fn as_ref(&self) -> &str

Converts this type into a shared reference of the (usually inferred) input type.

impl Clone for OpenAiModel

fn clone(&self) -> OpenAiModel

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for OpenAiModel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl From<OpenAiModel> for Model

fn from(val: OpenAiModel) -> Self

Converts to this type from the input type.

impl FromStr for OpenAiModel

type Err = ModelParseError

The associated error which can be returned from parsing.

fn from_str(s: &str) -> Result<Self, Self::Err>

Parses a string s to return a value of this type.

impl Hash for OpenAiModel

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for OpenAiModel

fn eq(&self, other: &OpenAiModel) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for OpenAiModel

impl Eq for OpenAiModel

impl StructuralPartialEq for OpenAiModel