// ***************************************************************************** // Copyright (C) 2025 EclipseSource GmbH and others. // // This program and the accompanying materials are made available under the // terms of the Eclipse Public License v. 2.0 which is available at // http://www.eclipse.org/legal/epl-2.0. // // This Source Code may also be made available under the following Secondary // Licenses when the conditions for such availability set forth in the Eclipse // Public License v. 2.0 are satisfied: GNU General Public License, version 2 // with the GNU Classpath Exception which is available at // https://www.gnu.org/software/classpath/license.html. // // SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-only WITH Classpath-exception-2.0 // ***************************************************************************** import { MaybePromise, nls } from '@theia/core'; import { injectable } from '@theia/core/shared/inversify'; import { AIVariable, ResolvedAIVariable, AIVariableContribution, AIVariableService, AIVariableResolutionRequest, AIVariableContext, AIVariableResolverWithVariableDependencies, AIVariableArg } from '@theia/ai-core'; import { ChatSessionContext } from '@theia/ai-chat'; import { TASK_CONTEXT_VARIABLE } from '@theia/ai-chat/lib/browser/task-context-variable'; import { TASK_CONTEXT_SUMMARY_VARIABLE_ID } from '../common/context-variables'; export const TASK_CONTEXT_SUMMARY_VARIABLE: AIVariable = { id: TASK_CONTEXT_SUMMARY_VARIABLE_ID, description: nls.localize('theia/ai/core/taskContextSummary/description', 'Resolves all task context items present in the session context.'), name: TASK_CONTEXT_SUMMARY_VARIABLE_ID, }; @injectable() /** * @class provides a summary of all TaskContextVariables in the context of a given session. Oriented towards use in prompts. */ export class TaskContextSummaryVariableContribution implements AIVariableContribution, AIVariableResolverWithVariableDependencies { registerVariables(service: AIVariableService): void { service.registerResolver(TASK_CONTEXT_SUMMARY_VARIABLE, this); } canResolve(request: AIVariableResolutionRequest, context: AIVariableContext): MaybePromise { return request.variable.name === TASK_CONTEXT_SUMMARY_VARIABLE.name ? 50 : 0; } async resolve( request: AIVariableResolutionRequest, context: AIVariableContext, resolveDependency?: (variable: AIVariableArg) => Promise ): Promise { if (!resolveDependency || !ChatSessionContext.is(context) || request.variable.name !== TASK_CONTEXT_SUMMARY_VARIABLE.name) { return undefined; } const allSummaryRequests = context.model.context.getVariables().filter(candidate => candidate.variable.id === TASK_CONTEXT_VARIABLE.id); if (!allSummaryRequests.length) { return { ...request, value: '' }; } const allSummaries = await Promise.all(allSummaryRequests.map(summaryRequest => resolveDependency(summaryRequest).then(resolved => resolved?.value))); const value = `# Current Plan The user has provided the following plan as your primary objective. Trust it and implement it directly. Do not re-explore the workspace from scratch. Only deviate if you find genuine issues (outdated assumptions, conflicts, unclear steps); if so, explain before proceeding and summarize deviations at the end. Work through the plan step by step, maintaining a todo list. Complete each step fully before moving to the next. --- ${allSummaries.map((content, index) => `## Task ${index + 1}\n\n${content}`).join('\n\n')}`; return { ...request, value }; } }