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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.pips
import tri.ai.prompt.trace.AiExecInfo
import tri.ai.prompt.trace.AiOutputInfo
import tri.ai.prompt.trace.AiPromptTrace
import tri.ai.prompt.trace.AiPromptTraceSupport
/**
* Task that can be executed by AI or API.
* A task may have an arbitrary number of inputs that must be calculated prior to the task being executable.
* The types of these inputs are not specified.
*/
abstract class AiTask(
val id: String,
val description: String? = null,
val dependencies: Set = setOf()
) {
/**
* A task that can be executed, using a table of input results indexed by key.
* Input types are not specified.
*/
abstract suspend fun execute(inputs: Map>, monitor: AiTaskMonitor): AiPromptTraceSupport
/** Wrap this in a task that monitors and informs a callback when result is obtained. */
fun monitor(callback: (List) -> Unit): AiTask = object : AiTask(id) {
override suspend fun execute(inputs: Map>, monitor: AiTaskMonitor): AiPromptTraceSupport {
val res = [email protected](inputs, monitor)
res.output?.outputs?.let { callback(it) }
return res
}
}
/** Wrap this in a task that monitors and informs a callback when result is obtained. */
fun monitorTrace(callback: (AiPromptTraceSupport) -> Unit): AiTask = object : AiTask(id) {
override suspend fun execute(inputs: Map>, monitor: AiTaskMonitor): AiPromptTraceSupport {
val res = [email protected](inputs, monitor)
callback(res)
return res
}
}
companion object {
/** Creates a task. */
fun task(id: String, description: String? = null, op: suspend () -> T): AiTask =
aitask(id, description) {
val t0 = System.currentTimeMillis()
val res = op()
if (res is AiPromptTraceSupport<*>) throw IllegalArgumentException("Use aitask() for AiPromptTraceSupport")
AiPromptTrace(execInfo = AiExecInfo.durationSince(t0), outputInfo = AiOutputInfo(listOf(res)))
}
/** Creates a task. */
fun aitask(id: String, description: String? = null, op: suspend () -> AiPromptTraceSupport): AiTask =
object: AiTask(id, description) {
override suspend fun execute(inputs: Map>, monitor: AiTaskMonitor) = op()
}
/** Creates a task that depends on a provided list of tasks. */
fun List>.task(id: String, description: String? = null, op: suspend (Map>) -> T): AiTask =
aitask(id, description) {
val t0 = System.currentTimeMillis()
val res = op(it)
if (res is AiPromptTraceSupport<*>) throw IllegalArgumentException("Use aitask() for AiPromptTraceSupport")
AiPromptTrace(execInfo = AiExecInfo.durationSince(t0), outputInfo = AiOutputInfo(listOf(res)))
}
/** Creates a task that depends on a provided list of tasks. */
fun List>.aitask(id: String, description: String? = null, op: suspend (Map>) -> AiPromptTraceSupport): AiTask =
object : AiTask(id, description, map { it.id }.toSet()) {
override suspend fun execute(inputs: Map>, monitor: AiTaskMonitor) =
op(inputs)
}
}
}