refactor: wave 1 - extract leaf modules, rename catch-all files, split index.ts hooks
- Split 25+ index.ts files into hook.ts + extracted modules - Rename all catch-all utils.ts/helpers.ts to domain-specific names - Split src/tools/lsp/ into ~15 focused modules - Split src/tools/delegate-task/ into ~18 focused modules - Separate shared types from implementation - 155 files changed, 60+ new files created - All typecheck clean, 61 tests pass
This commit is contained in:
YeonGyu-Kim
@@ -0,0 +1,142 @@
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/**
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* Atlas - Master Orchestrator Agent
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*
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* Orchestrates work via task() to complete ALL tasks in a todo list until fully done.
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* You are the conductor of a symphony of specialized agents.
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*
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* Routing:
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* 1. GPT models (openai/*, github-copilot/gpt-*) → gpt.ts (GPT-5.2 optimized)
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* 2. Default (Claude, etc.) → default.ts (Claude-optimized)
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*/
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import type { AgentConfig } from "@opencode-ai/sdk"
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import type { AgentMode, AgentPromptMetadata } from "../types"
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import { isGptModel } from "../types"
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import type { AvailableAgent, AvailableSkill, AvailableCategory } from "../dynamic-agent-prompt-builder"
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import { buildCategorySkillsDelegationGuide } from "../dynamic-agent-prompt-builder"
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import type { CategoryConfig } from "../../config/schema"
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import { DEFAULT_CATEGORIES } from "../../tools/delegate-task/constants"
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import { createAgentToolRestrictions } from "../../shared/permission-compat"
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import { getDefaultAtlasPrompt } from "./default"
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import { getGptAtlasPrompt } from "./gpt"
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import {
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getCategoryDescription,
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buildAgentSelectionSection,
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buildCategorySection,
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buildSkillsSection,
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buildDecisionMatrix,
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} from "./prompt-section-builder"
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const MODE: AgentMode = "primary"
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export type AtlasPromptSource = "default" | "gpt"
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/**
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* Determines which Atlas prompt to use based on model.
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*/
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export function getAtlasPromptSource(model?: string): AtlasPromptSource {
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if (model && isGptModel(model)) {
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return "gpt"
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}
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return "default"
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}
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export interface OrchestratorContext {
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model?: string
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availableAgents?: AvailableAgent[]
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availableSkills?: AvailableSkill[]
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userCategories?: Record<string, CategoryConfig>
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}
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/**
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* Gets the appropriate Atlas prompt based on model.
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*/
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export function getAtlasPrompt(model?: string): string {
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const source = getAtlasPromptSource(model)
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switch (source) {
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case "gpt":
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return getGptAtlasPrompt()
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case "default":
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default:
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return getDefaultAtlasPrompt()
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}
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}
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function buildDynamicOrchestratorPrompt(ctx?: OrchestratorContext): string {
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const agents = ctx?.availableAgents ?? []
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const skills = ctx?.availableSkills ?? []
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const userCategories = ctx?.userCategories
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const model = ctx?.model
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const allCategories = { ...DEFAULT_CATEGORIES, ...userCategories }
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const availableCategories: AvailableCategory[] = Object.entries(allCategories).map(([name]) => ({
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name,
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description: getCategoryDescription(name, userCategories),
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}))
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const categorySection = buildCategorySection(userCategories)
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const agentSection = buildAgentSelectionSection(agents)
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const decisionMatrix = buildDecisionMatrix(agents, userCategories)
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const skillsSection = buildSkillsSection(skills)
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const categorySkillsGuide = buildCategorySkillsDelegationGuide(availableCategories, skills)
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const basePrompt = getAtlasPrompt(model)
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return basePrompt
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.replace("{CATEGORY_SECTION}", categorySection)
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.replace("{AGENT_SECTION}", agentSection)
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.replace("{DECISION_MATRIX}", decisionMatrix)
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.replace("{SKILLS_SECTION}", skillsSection)
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.replace("{{CATEGORY_SKILLS_DELEGATION_GUIDE}}", categorySkillsGuide)
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}
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export function createAtlasAgent(ctx: OrchestratorContext): AgentConfig {
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const restrictions = createAgentToolRestrictions([
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"task",
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"call_omo_agent",
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])
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const baseConfig = {
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description:
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"Orchestrates work via task() to complete ALL tasks in a todo list until fully done. (Atlas - OhMyOpenCode)",
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mode: MODE,
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...(ctx.model ? { model: ctx.model } : {}),
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temperature: 0.1,
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prompt: buildDynamicOrchestratorPrompt(ctx),
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color: "#10B981",
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...restrictions,
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}
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return baseConfig as AgentConfig
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}
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createAtlasAgent.mode = MODE
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export const atlasPromptMetadata: AgentPromptMetadata = {
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category: "advisor",
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cost: "EXPENSIVE",
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promptAlias: "Atlas",
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triggers: [
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{
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domain: "Todo list orchestration",
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trigger: "Complete ALL tasks in a todo list with verification",
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},
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{
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domain: "Multi-agent coordination",
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trigger: "Parallel task execution across specialized agents",
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},
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],
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useWhen: [
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"User provides a todo list path (.sisyphus/plans/{name}.md)",
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"Multiple tasks need to be completed in sequence or parallel",
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"Work requires coordination across multiple specialized agents",
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],
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avoidWhen: [
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"Single simple task that doesn't require orchestration",
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"Tasks that can be handled directly by one agent",
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"When user wants to execute tasks manually",
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],
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keyTrigger:
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"Todo list path provided OR multiple tasks requiring multi-agent orchestration",
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}
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+4
-143
@@ -1,33 +1,3 @@
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/**
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* Atlas - Master Orchestrator Agent
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*
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* Orchestrates work via task() to complete ALL tasks in a todo list until fully done.
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* You are the conductor of a symphony of specialized agents.
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*
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* Routing:
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* 1. GPT models (openai/*, github-copilot/gpt-*) → gpt.ts (GPT-5.2 optimized)
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* 2. Default (Claude, etc.) → default.ts (Claude-optimized)
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*/
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import type { AgentConfig } from "@opencode-ai/sdk"
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import type { AgentMode, AgentPromptMetadata } from "../types"
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import { isGptModel } from "../types"
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import type { AvailableAgent, AvailableSkill, AvailableCategory } from "../dynamic-agent-prompt-builder"
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import { buildCategorySkillsDelegationGuide } from "../dynamic-agent-prompt-builder"
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import type { CategoryConfig } from "../../config/schema"
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import { DEFAULT_CATEGORIES } from "../../tools/delegate-task/constants"
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import { createAgentToolRestrictions } from "../../shared/permission-compat"
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import { ATLAS_SYSTEM_PROMPT, getDefaultAtlasPrompt } from "./default"
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import { ATLAS_GPT_SYSTEM_PROMPT, getGptAtlasPrompt } from "./gpt"
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import {
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getCategoryDescription,
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buildAgentSelectionSection,
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buildCategorySection,
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buildSkillsSection,
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buildDecisionMatrix,
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} from "./utils"
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export { ATLAS_SYSTEM_PROMPT, getDefaultAtlasPrompt } from "./default"
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export { ATLAS_GPT_SYSTEM_PROMPT, getGptAtlasPrompt } from "./gpt"
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export {
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@@ -36,118 +6,9 @@ export {
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buildCategorySection,
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buildSkillsSection,
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buildDecisionMatrix,
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} from "./utils"
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export { isGptModel }
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} from "./prompt-section-builder"
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const MODE: AgentMode = "primary"
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export { createAtlasAgent, getAtlasPromptSource, getAtlasPrompt, atlasPromptMetadata } from "./agent"
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export type { AtlasPromptSource, OrchestratorContext } from "./agent"
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export type AtlasPromptSource = "default" | "gpt"
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/**
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* Determines which Atlas prompt to use based on model.
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*/
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export function getAtlasPromptSource(model?: string): AtlasPromptSource {
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if (model && isGptModel(model)) {
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return "gpt"
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}
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return "default"
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}
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export interface OrchestratorContext {
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model?: string
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availableAgents?: AvailableAgent[]
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availableSkills?: AvailableSkill[]
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userCategories?: Record<string, CategoryConfig>
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}
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/**
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* Gets the appropriate Atlas prompt based on model.
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*/
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export function getAtlasPrompt(model?: string): string {
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const source = getAtlasPromptSource(model)
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switch (source) {
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case "gpt":
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return getGptAtlasPrompt()
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case "default":
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default:
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return getDefaultAtlasPrompt()
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}
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}
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function buildDynamicOrchestratorPrompt(ctx?: OrchestratorContext): string {
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const agents = ctx?.availableAgents ?? []
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const skills = ctx?.availableSkills ?? []
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const userCategories = ctx?.userCategories
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const model = ctx?.model
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const allCategories = { ...DEFAULT_CATEGORIES, ...userCategories }
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const availableCategories: AvailableCategory[] = Object.entries(allCategories).map(([name]) => ({
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name,
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description: getCategoryDescription(name, userCategories),
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}))
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const categorySection = buildCategorySection(userCategories)
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const agentSection = buildAgentSelectionSection(agents)
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const decisionMatrix = buildDecisionMatrix(agents, userCategories)
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const skillsSection = buildSkillsSection(skills)
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const categorySkillsGuide = buildCategorySkillsDelegationGuide(availableCategories, skills)
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const basePrompt = getAtlasPrompt(model)
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return basePrompt
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.replace("{CATEGORY_SECTION}", categorySection)
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.replace("{AGENT_SECTION}", agentSection)
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.replace("{DECISION_MATRIX}", decisionMatrix)
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.replace("{SKILLS_SECTION}", skillsSection)
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.replace("{{CATEGORY_SKILLS_DELEGATION_GUIDE}}", categorySkillsGuide)
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}
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export function createAtlasAgent(ctx: OrchestratorContext): AgentConfig {
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const restrictions = createAgentToolRestrictions([
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"task",
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"call_omo_agent",
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])
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const baseConfig = {
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description:
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"Orchestrates work via task() to complete ALL tasks in a todo list until fully done. (Atlas - OhMyOpenCode)",
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mode: MODE,
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...(ctx.model ? { model: ctx.model } : {}),
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temperature: 0.1,
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prompt: buildDynamicOrchestratorPrompt(ctx),
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color: "#10B981",
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...restrictions,
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}
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return baseConfig as AgentConfig
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}
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createAtlasAgent.mode = MODE
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export const atlasPromptMetadata: AgentPromptMetadata = {
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category: "advisor",
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cost: "EXPENSIVE",
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promptAlias: "Atlas",
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triggers: [
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{
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domain: "Todo list orchestration",
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trigger: "Complete ALL tasks in a todo list with verification",
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},
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{
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domain: "Multi-agent coordination",
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trigger: "Parallel task execution across specialized agents",
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},
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],
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useWhen: [
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"User provides a todo list path (.sisyphus/plans/{name}.md)",
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"Multiple tasks need to be completed in sequence or parallel",
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"Work requires coordination across multiple specialized agents",
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],
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avoidWhen: [
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"Single simple task that doesn't require orchestration",
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"Tasks that can be handled directly by one agent",
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"When user wants to execute tasks manually",
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],
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keyTrigger:
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"Todo list path provided OR multiple tasks requiring multi-agent orchestration",
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}
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export { isGptModel } from "../types"
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