import { tool, type ToolSet } from "ai"; import { z } from "zod"; import type { JobRecord } from "../../core/contracts.ts"; import type { JobStore } from "../../core/ports.ts"; /** * Async sub-agent job tools (vision §2.5; W2/W6 kinds + the pi-model * protocol). SERVER-EXECUTED: each call creates the job record, fires the * background runner (via the injected spawn seam — the agent layer never * imports one), and resolves IMMEDIATELY with a fire-and-forget ack. The * teacher's turn does NOT end at the call; the result arrives later as a * steer message that wakes the teacher in a new turn. See contracts.ts * "THE ASYNC PROTOCOL". */ /** What the job tools need at execute time (injected by the composition root). */ export interface JobToolContext { chatId: string; /** Creates the job record (deduped by toolCallId). */ jobStore: JobStore; /** Fire the background runner for a fresh job — fire-and-forget. The * input rides along because the spawn happens MID-STREAM, before * onFinish persists the tool part — a transcript scan would race it. */ spawn: (job: JobRecord, input: ResearchInput | DemoInput | VisualInput) => void; } export const researchInputSchema = z.object({ question: z .string() .describe("The single research question to answer. Make it specific — the researcher sees nothing else of the lesson."), context: z .string() .optional() .describe("Why you need this / what the lesson needs it for — focuses the brief. One or two sentences."), }); export const demoInputSchema = z.object({ title: z.string().describe("Short title for the demo card, e.g. 'Damped harmonic oscillator'."), brief: z .string() .describe( "Precise brief for the builder: the concept, the parameters/controls and what each does, the interactions, and the visual style. " + "The builder sees NOTHING else of the lesson — include everything it needs, including necessary formulas and constants.", ), }); export const visualInputSchema = z.object({ brief: z .string() .describe( "Precise brief for ONE static figure: exactly what it must show — coordinates, labels, proportions, orientation. " + "The maker sees NOTHING else of the lesson; a wrong or vague brief produces a wrong figure.", ), }); /** * The per-call dispatch: create the job (idempotent by toolCallId), fire the * runner, and return the ack. Shared by all three tools — only kind differs. */ function dispatch( ctx: JobToolContext, kind: JobRecord["kind"], toolCallId: string, ack: string, input: ResearchInput | DemoInput | VisualInput, ): string { const existing = ctx.jobStore.findJobByToolCallId(ctx.chatId, toolCallId); const job = existing ?? ctx.jobStore.createJob({ kind, chatId: ctx.chatId, toolCallId }); if (!existing) ctx.spawn(job, input); return `Dispatched (job ${job.id}). ${ack}`; } const RESEARCH_ACK = "This call is fire-and-forget: continue your turn and keep teaching — do not wait, poll, or mention waiting. " + "The researched brief arrives as a new message when ready and the lesson resumes from it; cite its sources when you use them."; const DEMO_ACK = "This call is fire-and-forget: continue your turn and keep teaching — do not wait, poll, or mention waiting. " + "The tested demo arrives as a new message when ready and is rendered in the lesson; teach with it then."; const VISUAL_ACK = "This call is fire-and-forget: continue your turn and keep teaching — do not wait, poll, or mention waiting. " + "The verified figure arrives as a new message when ready and is rendered in the lesson; reference it then."; const RESEARCH_DESCRIPTION = "Dispatch a background web-research agent: fact verification, current data, or niche specifics you are not certain about. " + "The call is ASYNC and fire-and-forget — it resolves immediately and your turn continues; the research brief arrives later " + "as a new message and the lesson resumes from it. Cite the brief's sources when you use them. " + "NEVER use it for things you know cold, internal reasoning, or math."; const DEMO_DESCRIPTION = "Dispatch a background sub-agent that BUILDS and headlessly TESTS an interactive teaching instrument — a single-file HTML " + "demo (parameter sweep, simulation, animation, sampling) rendered live in the lesson. Use it when the concept is DYNAMIC: " + "something to sweep, animate, or sample is better experienced than described. " + "The call is ASYNC and fire-and-forget — it resolves immediately and your turn continues; the tested demo arrives later " + "as a new message. Write a precise brief: concept, controls, interactions, style."; const VISUAL_DESCRIPTION = "Dispatch a background sub-agent that hand-authors ONE precise SVG figure, renders it, LOOKS at the render, and iterates " + "until correct. Use it for exact spatial pictures auto-layout diagrams can't do: coordinate geometry, number lines, vectors, " + "function plots, physical layouts. For flows/relations/taxonomies write mermaid inline instead. " + "The call is ASYNC and fire-and-forget — it resolves immediately and your turn continues; the verified figure arrives later " + "as a new message."; /** * Per-request job tool registry: each tool closes over the composition root's * context (chatId + jobStore + the spawn seam), so concurrent chats never * share state. chat-handler wires it each turn; tests wire their own. */ export function jobTools(ctx: JobToolContext): ToolSet { return { research: tool({ description: RESEARCH_DESCRIPTION, inputSchema: researchInputSchema, execute: async (input, { toolCallId }) => dispatch(ctx, "research", toolCallId, RESEARCH_ACK, input), }), demo: tool({ description: DEMO_DESCRIPTION, inputSchema: demoInputSchema, execute: async (input, { toolCallId }) => dispatch(ctx, "demo", toolCallId, DEMO_ACK, input), }), visual: tool({ description: VISUAL_DESCRIPTION, inputSchema: visualInputSchema, execute: async (input, { toolCallId }) => dispatch(ctx, "visual", toolCallId, VISUAL_ACK, input), }), }; } export type ResearchInput = z.infer; export type DemoInput = z.infer; export type VisualInput = z.infer;