Class LemurBaseParams

Namespace

AssemblyAI.Lemur

Assembly

AssemblyAI.dll

public record LemurBaseParams : IEquatable<LemurBaseParams>

Inheritance

object

LemurBaseParams

Implements

IEquatable<LemurBaseParams>

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Properties

Context

Context to provide the model. This can be a string or a free-form JSON value.

[JsonPropertyName("context")]
public OneOf<string, object>? Context { get; set; }

Property Value

OneOf<string, object>?

FinalModel

The model that is used for the final prompt after compression is performed.

[JsonPropertyName("final_model")]
public LemurModel? FinalModel { get; set; }

Property Value

LemurModel?

InputText

Custom formatted transcript data. Maximum size is the context limit of the selected model, which defaults to 100000. Use either transcript_ids or input_text as input into LeMUR.

[JsonPropertyName("input_text")]
public string? InputText { get; set; }

Property Value

string

MaxOutputSize

Max output size in tokens, up to 4000

[JsonPropertyName("max_output_size")]
public int? MaxOutputSize { get; set; }

Property Value

int?

Temperature

The temperature to use for the model. Higher values result in answers that are more creative, lower values are more conservative. Can be any value between 0.0 and 1.0 inclusive.

[JsonPropertyName("temperature")]
public float? Temperature { get; set; }

Property Value

float?

TranscriptIds

A list of completed transcripts with text. Up to a maximum of 100 files or 100 hours, whichever is lower. Use either transcript_ids or input_text as input into LeMUR.

[JsonPropertyName("transcript_ids")]
public IEnumerable<string>? TranscriptIds { get; set; }

Property Value

IEnumerable<string>

Methods

ToString()

Returns a string that represents the current object.

public override string ToString()

Returns

string

A string that represents the current object.