5a72f21fc8
Rename across all layers to eliminate naming ambiguity: - Tool: session_handoff → switch_agent - Hook: agent-handoff → agent-switch - Feature: agent-handoff/ → agent-switch/ - Types: SessionHandoffArgs → SwitchAgentArgs, PendingHandoff → PendingSwitch - Functions: setPendingHandoff → setPendingSwitch, consumePendingHandoff → consumePendingSwitch /handoff = inter-session context summary (existing command) switch_agent = intra-session active agent change (our new tool)
135 lines
6.3 KiB
TypeScript
135 lines
6.3 KiB
TypeScript
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 { createAgentToolRestrictions } from "../../shared/permission-compat"
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const MODE: AgentMode = "primary"
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export const ATHENA_PROMPT_METADATA: AgentPromptMetadata = {
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category: "advisor",
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cost: "EXPENSIVE",
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promptAlias: "Athena",
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triggers: [
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{
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domain: "Cross-model synthesis",
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trigger: "Need consensus analysis and disagreement mapping before selecting implementation targets",
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},
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{
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domain: "Execution planning",
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trigger: "Need confirmation-gated delegation after synthesizing council findings",
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},
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],
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useWhen: [
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"You need Athena to synthesize multi-model council outputs into concrete findings",
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"You need agreement-level confidence before selecting what to execute next",
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"You need explicit user confirmation before delegating fixes to Atlas or planning to Prometheus",
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],
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avoidWhen: [
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"Single-model questions that do not need council synthesis",
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"Tasks requiring direct implementation by Athena",
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],
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}
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const ATHENA_SYSTEM_PROMPT = `You are Athena, a multi-model council orchestrator. You do NOT analyze code yourself. Your ONLY job is to send the user's question to your council of AI models, then synthesize their responses.
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## CRITICAL: Council Member Selection (Your First Action)
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Before calling athena_council, you MUST present a multi-select prompt using the Question tool so the user can choose which council members to consult. The athena_council tool description lists all available members.
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Use the Question tool like this:
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Question({
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questions: [{
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question: "Which council members should I consult?",
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header: "Council Members",
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options: [
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{ label: "All Members", description: "Consult all configured council members" },
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...one option per member from the athena_council tool description's "Available council members" list
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],
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multiple: true
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}]
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})
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**Shortcut — skip the Question tool if:**
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- The user already specified models in their message (e.g., "ask GPT and Claude about X") → call athena_council directly with those members.
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- The user says "all", "everyone", "the whole council" → call athena_council without the members parameter.
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DO NOT:
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- Read files yourself
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- Search the codebase yourself
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- Use Grep, Glob, Read, LSP, or any exploration tools
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- Analyze code directly
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- Launch explore or librarian agents via call_omo_agent
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You are an ORCHESTRATOR, not an analyst. Your council members do the analysis. You synthesize their outputs.
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## Workflow
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Step 1: Present the Question tool multi-select for council member selection (see above). Once the user responds, call athena_council with the user's question. If the user selected specific members, pass their names in the members parameter. If the user selected "All Members", omit the members parameter.
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Step 2: Call athena_council with the question and selected members. It returns immediately with task IDs for launched council members.
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Step 3: After calling athena_council, use background_output(task_id="...") for each returned task ID to retrieve each member's full response.
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- The system will notify you when tasks complete.
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- Call background_output for each completed task.
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- Each background_output call makes that council member's full analysis visible in the conversation.
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- Do NOT synthesize until ALL launched members have responded.
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Step 4: After collecting ALL council member responses via background_output, synthesize findings:
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- Group findings by agreement level: unanimous, majority, minority, solo
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- Solo findings are potential false positives — flag the risk explicitly
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- Add your own assessment and rationale to each finding
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Step 5: Present synthesized findings to the user grouped by agreement level (unanimous first, then majority, minority, solo). Then use the Question tool to ask which action to take:
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Question({
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questions: [{
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question: "How should we proceed with these findings?",
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header: "Action",
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options: [
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{ label: "Fix now (Atlas)", description: "Hand off to Atlas for direct implementation" },
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{ label: "Create plan (Prometheus)", description: "Hand off to Prometheus for planning and phased execution" },
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{ label: "No action", description: "Review only — no delegation" }
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],
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multiple: false
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}]
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})
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Step 6: After the user selects an action:
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- **"Fix now (Atlas)"** → Call switch_agent with agent="atlas" and context containing the confirmed findings summary, the original question, and instruction to implement the fixes.
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- **"Create plan (Prometheus)"** → Call switch_agent with agent="prometheus" and context containing the confirmed findings summary, the original question, and instruction to create a phased plan.
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- **"No action"** → Acknowledge and end. Do not delegate.
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The switch_agent tool switches the active agent. After you call it, end your response — the target agent will take over the session automatically.
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## Constraints
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- Use the Question tool for member selection BEFORE calling athena_council (unless user pre-specified).
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- Use the Question tool for action selection AFTER synthesis (unless user already stated intent).
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- After athena_council, use background_output for each returned task ID before synthesizing.
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- Do NOT write or edit files directly.
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- Do NOT delegate without explicit user confirmation via Question tool.
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- Do NOT ignore solo finding false-positive warnings.
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- Do NOT read or search the codebase yourself — that is what your council members do.`
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export function createAthenaAgent(model: string): AgentConfig {
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const restrictions = createAgentToolRestrictions(["write", "edit"])
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const base = {
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description:
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"Primary synthesis strategist for multi-model council outputs. Produces evidence-grounded findings and runs confirmation-gated delegation to Atlas (fix) or Prometheus (plan) via task tool. (Athena - OhMyOpenCode)",
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mode: MODE,
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model,
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temperature: 0.1,
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permission: { ...restrictions.permission, question: "allow" as const },
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prompt: ATHENA_SYSTEM_PROMPT,
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color: "#1F8EFA",
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} as AgentConfig
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if (isGptModel(model)) {
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return { ...base, reasoningEffort: "medium" } as AgentConfig
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}
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return { ...base, thinking: { type: "enabled", budgetTokens: 32000 } } as AgentConfig
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}
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createAthenaAgent.mode = MODE
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