Struct Model 

pub struct Model {
    pub provider: Provider,
    pub model: AliasedModel,
}

Fully-qualified model identifier combining a backend Provider with an AliasedModel.

String format: "provider:name" (e.g. "openrouter:anthropic/claude-sonnet-4-20250514"). Parses bidirectionally via FromStr / Display.

Fields

provider: Provider

model: AliasedModel

Implementations

impl Model

pub fn name(&self) -> &str

Returns the display/config name of the model.

pub fn capability_name(&self) -> &str

Returns the resolved name used for capability lookups. If this is an alias, returns the real underlying model name; otherwise returns the display name.

Trait Implementations

impl Clone for Model

fn clone(&self) -> Self

Returns a duplicate 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<'de>>(deserializer: D) -> Result<Self, D::Error>

Deserialize this value from the given Serde deserializer.

impl Display for Model

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

Formats the value using the given formatter.

impl Eq for Model

impl FromStr for Model

type Err = ParseError

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 Model

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 Model

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

Equality operator ==.

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

Inequality operator !=.

impl Serialize for Model

fn serialize<S: Serializer>(&self, serializer: S) -> Result<S::Ok, S::Error>

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Model