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learnharness/src/agent/tools.ts
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import { tool, type ToolSet } from "ai";
import { askInputSchema, quizInputObject, quizInputProblems, quizInputSchema } from "../core/question-core.ts";
import type { JobRecord } from "../core/contracts.ts";
import type { JobStore } from "../core/ports.ts";
import { jobTools, type DemoInput, type ResearchInput, type VisualInput } from "./tools/jobs.ts";
import { planTools, type PlanToolContext } from "./tools/plan.ts";
export { jobTools };
/**
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* The teacher's tools, composed per request by createTeacherTools.
*
* - questionTools / questionToolsFor (quiz / ask_user_question): CLIENT-SIDE
* tools (no `execute`). The tool call streams to the browser in
* `input-available` state; the learner answers in the dock; the client
* grades via question-core and sends the verdict with addToolOutput. The
* input schemas live in core/question-core (the question contract) —
* parameter names mirror the prompt docs exactly; keep them in sync.
* questionToolsFor adds the per-session plan-nodeId validation: an invalid
* nodeId NEVER reaches the learner — the SDK returns the validation error
* to the teacher as a tool result and it retries (same loop as the
* grading rules). It reads the LIVE record at validation time, so a
* plan_init earlier in the same turn already counts.
* - planTools (src/agent/tools/plan.ts): SERVER-SIDE — the single author-once
* plan_init (mermaid → structured tree; re-callable rewrite). Needs the
* chatId closure — hence the per-request factory.
* - jobTools (src/agent/tools/jobs.ts): SERVER-EXECUTED dispatch — the call
* resolves immediately with a fire-and-forget ack, the background runner
* does the work, and the result arrives later as a steer message
* (contracts.ts "THE ASYNC PROTOCOL").
*/
export const quizTool = tool({
// Description ported from the pi original (the learning system this app
// grew out of) — that one never produced invalid correctAnswer values.
description:
"Ask the learner a GRADED question with a known correct answer, then instantly grade and give feedback. " +
"Unlike ask_user_question (which collects preferences/decisions with no right answer), quiz always has a " +
"correct answer supplied by you, marks the learner's selection right/wrong, reveals the correct answer, and " +
"can show an explanation. Use it to (1) assess what the learner already understands before teaching, and " +
"(2) run tight practice/retrieval loops after explaining, or probe understanding whenever you're unsure " +
"they've got it. Options-only: single-select or multi-select, plus an automatic 'I don't know' choice so the " +
"learner can signal a genuine gap instead of guessing. An always-present optional note field lets the learner " +
"attach a free-text note to ANY answer; it reaches you only when non-empty. No free-text answers — for " +
"non-graded questions use ask_user_question instead. Ask exactly one question per tool call; after calling, " +
"end your turn and wait for the graded result.",
inputSchema: quizInputSchema,
});
export const askUserQuestionTool = tool({
description:
"Ask the learner a single question and pause until they answer. NOT graded — there is no correct answer. " +
"Use when requirements are ambiguous, preferences are needed, a decision would materially affect the lesson, " +
"or you need an open-ended response. Ask exactly one question per tool call; after calling, end your turn and wait.",
inputSchema: askInputSchema,
});
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export const questionTools = {
quiz: quizTool,
ask_user_question: askUserQuestionTool,
};
/**
* Per-session question tools: the quiz schema gains the dynamic plan-nodeId
* validation on top of question-core's shared authoring rules (chained
* superRefines — the grading contract is untouched). The check reads the
* LIVE chat record, so rewrites mid-turn are honored, and with no tree yet
* (probe phase) every nodeId is rejected — ad-hoc checks must omit it.
* ask_user_question is untouched: it never carries nodeId (not a check).
*/
export function questionToolsFor(ctx: Pick<PlanToolContext, "chatId" | "chatStore">): ToolSet {
const quizInputWithNodeValidation = quizInputObject
.superRefine((input, add) => {
for (const problem of quizInputProblems(input)) {
add.addIssue({ code: "custom", message: problem });
}
})
.superRefine((input, add) => {
if (typeof input.nodeId !== "string" || input.nodeId.length === 0) return;
const record = ctx.chatStore.getChat(ctx.chatId);
const tree = record?.tree;
const known = tree?.nodes.map((n) => n.id) ?? [];
if (!known.includes(input.nodeId)) {
add.addIssue({
code: "custom",
message:
`nodeId "${input.nodeId}" matches no node in this session's plan map. ` +
(known.length > 0
? `Copy one of your plan_init slugs exactly (${known.slice(0, 5).join(", ")}${known.length > 5 ? ", …" : ""}), or omit nodeId for an ad-hoc check.`
: "No plan map exists yet — omit nodeId (ad-hoc checks only until you call plan_init)."),
});
}
});
const quizWithNodeValidation = tool({
description: quizTool.description,
inputSchema: quizInputWithNodeValidation,
});
return {
quiz: quizWithNodeValidation,
ask_user_question: askUserQuestionTool,
};
}
export interface TeacherToolContext extends PlanToolContext {
/** Job-tool wiring (sub-agent dispatch): the job store + the runner's
* spawn seam. The composition root injects both. */
jobStore: JobStore;
/** Fire the background runner for a freshly created job. The tool input
* rides along — the spawn fires mid-stream, before the tool part is
* persisted to the transcript (a transcript scan would race it). */
spawn: (job: JobRecord, input: ResearchInput | DemoInput | VisualInput) => void;
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}
/**
* Per-request tool registry. Plan tools and question tools close over the
* ctx (chatId + the injected ChatStore — the latter also powers the quiz
* nodeId validation); job tools close over the job store + spawn seam.
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*/
export function createTeacherTools(ctx: TeacherToolContext): ToolSet {
return {
...questionToolsFor(ctx),
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...planTools(ctx),
...jobTools({ chatId: ctx.chatId, jobStore: ctx.jobStore, spawn: ctx.spawn }),
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};
}