ai-mocks-ollama/dev.mokksy.aimocks.ollama.chat/ChatResponse

ChatResponse

data class ChatResponse(val model: String, val createdAt: Instant, val message: Message, val done: Boolean, val doneReason: String? = null, val totalDuration: Long? = null, val loadDuration: Long? = null, val promptEvalCount: Int? = null, val promptEvalDuration: Long? = null, val evalCount: Int? = null, val evalDuration: Long? = null)(source)

Represents a response from the chat completion endpoint.

Constructors

constructor(model: String, createdAt: Instant, message: Message, done: Boolean, doneReason: String? = null, totalDuration: Long? = null, loadDuration: Long? = null, promptEvalCount: Int? = null, promptEvalDuration: Long? = null, evalCount: Int? = null, evalDuration: Long? = null)

Properties

@SerialName(value = "created_at")

val createdAt: Instant

Timestamp when the response was created

val done: Boolean

Indicates if the generation is complete

@SerialName(value = "done_reason")

val doneReason: String?

@SerialName(value = "eval_count")

val evalCount: Int?

Number of tokens in the response

@SerialName(value = "eval_duration")

val evalDuration: Long?

Time spent generating the response (in nanoseconds)

@SerialName(value = "load_duration")

val loadDuration: Long?

Time spent loading the model (in nanoseconds)

val message: Message

The generated message

val model: String

The model name used for generation

promptEvalCount

@SerialName(value = "prompt_eval_count")

val promptEvalCount: Int?

Number of tokens in the prompt

promptEvalDuration

@SerialName(value = "prompt_eval_duration")

val promptEvalDuration: Long?

Time spent evaluating the prompt (in nanoseconds)

@SerialName(value = "total_duration")

val totalDuration: Long?

Time spent generating the response (in nanoseconds)