Enum chat_gpt_lib_rs::models::Model

pub enum Model {
    Gpt3_5Turbo,
    Gpt_4,
    Gpt_4_32k,
    Gpt_4Turbo,
    Gpt_4o,
    Gpt_4Turbo_Vision,
}

Model enum represents the available OpenAI models.

This enum provides an easy way to specify the model to be used in the API calls. Currently supported models are:

• Gpt3_5Turbo
• Gpt4

Variants

Gpt3_5Turbo

Gpt_4

Gpt_4_32k

Gpt_4Turbo

Gpt_4o

Gpt_4Turbo_Vision

Implementations

impl Model

pub fn max_tokens(&self) -> usize

Trait Implementations

impl Clone for Model

fn clone(&self) -> Model

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Model

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Model

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for Model

Implement Display to convert the enum back to a string representation.

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

Formats the value using the given formatter.

impl FromStr for Model

Implement FromStr to enable parsing the enum from a string representation.

type Err = ()

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 PartialEq for Model

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl Serialize for Model

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for Model

impl Eq for Model

impl StructuralPartialEq for Model