pub struct ModelEntry {
pub name: String,
pub endpoint_id: EndpointId,
pub model_type: ModelType,
pub runtime_config: Option<ModelRuntimeConfig>,
pub model_input: ModelInput,
}Expand description
ModelEntry contains the information to discover models
Fields§
§name: StringPublic name of the model Used to identify the model in the HTTP service from the value used in an OpenAI ChatRequest.
endpoint_id: EndpointIdHow to address this on the network
model_type: ModelTypeSpecifies whether the model is a chat, completions, etc model.
runtime_config: Option<ModelRuntimeConfig>Runtime configuration specific to this model instance
model_input: ModelInputSpecifies the model input type.
Tokens for engines that expect pre-processed input.
Text for engines that take care of pre-processing themselves.
Implementations§
Source§impl ModelEntry
impl ModelEntry
Trait Implementations§
Source§impl Clone for ModelEntry
impl Clone for ModelEntry
Source§fn clone(&self) -> ModelEntry
fn clone(&self) -> ModelEntry
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Debug for ModelEntry
impl Debug for ModelEntry
Source§impl<'de> Deserialize<'de> for ModelEntry
impl<'de> Deserialize<'de> for ModelEntry
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Source§impl PartialEq for ModelEntry
impl PartialEq for ModelEntry
Source§impl Serialize for ModelEntry
impl Serialize for ModelEntry
impl Eq for ModelEntry
impl StructuralPartialEq for ModelEntry
Auto Trait Implementations§
impl Freeze for ModelEntry
impl RefUnwindSafe for ModelEntry
impl Send for ModelEntry
impl Sync for ModelEntry
impl Unpin for ModelEntry
impl UnwindSafe for ModelEntry
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