tri.ai.prompt.trace.AiPromptTrace.kt Maven / Gradle / Ivy
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LLM and prompt engineering.
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/*-
* #%L
* tri.promptfx:promptkt
* %%
* Copyright (C) 2023 - 2024 Johns Hopkins University Applied Physics Laboratory
* %%
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* #L%
*/
package tri.ai.prompt.trace
import com.fasterxml.jackson.annotation.JsonInclude
/** Details of an executed prompt, including prompt configuration, model configuration, execution metadata, and output. */
@JsonInclude(JsonInclude.Include.NON_DEFAULT)
class AiPromptTrace(
promptInfo: AiPromptInfo? = null,
modelInfo: AiModelInfo? = null,
execInfo: AiExecInfo = AiExecInfo(),
outputInfo: AiOutputInfo? = null
) : AiPromptTraceSupport(promptInfo, modelInfo, execInfo, outputInfo) {
override fun toString() =
"AiPromptTrace(promptInfo=$prompt, modelInfo=$model, execInfo=$exec, outputInfo=$output)"
override fun copy(
promptInfo: AiPromptInfo?,
modelInfo: AiModelInfo?,
execInfo: AiExecInfo
): AiPromptTrace = AiPromptTrace(promptInfo, modelInfo, execInfo, output)
/** Convert output using a provided function, without modifying any other parts of the response. */
fun mapOutput(transform: (T) -> S) = AiPromptTrace(
prompt,
model,
exec,
output?.map(transform)
)
companion object {
/** Create an execution info with an error. */
fun error(modelInfo: AiModelInfo?, message: String?, throwable: Throwable? = null, duration: Long? = null, durationTotal: Long? = null, attempts: Int? = null) =
AiPromptTrace(null, modelInfo,
AiExecInfo(message, throwable, responseTimeMillis = duration, responseTimeMillisTotal = durationTotal, attempts = attempts)
)
/** Task not attempted because input was invalid. */
fun invalidRequest(modelId: String, message: String) =
invalidRequest(AiModelInfo(modelId), message)
/** Task not attempted because input was invalid. */
fun invalidRequest(modelInfo: AiModelInfo?, message: String) =
error(modelInfo, message, IllegalArgumentException(message))
}
}