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The main event: runs one Anthropic Messages API conversation with tool
use, persists every turn + tool execution, and resumes cleanly after a
worker kill anywhere in the loop.
Design points that carry the v0.15 guarantees:
1. Two-phase tool persistence. INSERT status='pending' before dispatch,
UPDATE to 'complete' or 'failed' after. subagent_messages rows are
the canonical conversation; subagent_tool_executions rows are the
canonical "did this tool run + what did it return". Either DB commit
is atomic, so replay has a single source of truth.
2. Replay reconciliation. If the last persisted message is an assistant
with tool_use blocks AND no following synthesized user message, we
crashed mid-dispatch. On resume, finish those tools first (respecting
idempotent flag for 'pending' rows), synthesize the user turn, and
THEN call the LLM again. Non-idempotent pending rows abort the job
with a clear error — v0.15 ships only idempotent tools so this is
preventive.
3. Rate lease around every LLM call. acquireLease before, releaseLease
after (both success and error paths). acquired=false throws
RateLeaseUnavailableError — the worker treats it as a renewable
error and re-claims later, so a temporary capacity cap doesn't fail
the job terminally.
4. Anthropic prompt caching. system block gets cache_control=ephemeral;
the LAST tool def gets it too (Anthropic caches everything up to and
including the marked block). ~10x cost reduction on multi-turn
agents per the plan.
5. Dual-signal abort. AbortSignal.any merges ctx.signal (timeout / lock
loss / cancel) with ctx.shutdownSignal (worker SIGTERM). Both feed
the Anthropic call's AbortSignal; mid-turn abort bails before the
next LLM call with whatever turns are already persisted. Node ≥ 20
has AbortSignal.any; older runtimes get a manual-merge polyfill.
6. Injectable Anthropic client. The real SDK implements MessagesClient
structurally; tests inject a FakeMessagesClient that scripts
responses.
12 unit tests pin: no-tool happy path, single tool_use complete, tool
throws → failed row + loop continues, unknown tool name rejection,
max_turns cap, crash-then-resume with partial state, replay skips already-
complete tool execs without re-invoking execute, non-idempotent pending
rejects on resume, lease acquire + release roundtrip, RateLeaseUnavailable
under cap-full, missing prompt validation, allowed_tools unknown-name.
NOT in v0.15: refusal detection (stop_reason + content shape), stop_reason
=max_tokens partial recovery, mid-call lease renewal with backoff loop.
All three are documented as P2 items in the plan file.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
417 lines
16 KiB
TypeScript
417 lines
16 KiB
TypeScript
/**
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* Subagent handler tests with a mocked Anthropic Messages client.
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*
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* Strategy: every test scripts a sequence of Messages API responses, hands
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* them to a FakeMessagesClient, and inspects (a) the SubagentResult the
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* handler returns and (b) the persisted rows in subagent_messages +
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* subagent_tool_executions. Replay tests simulate a crash by constructing
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* a fresh handler bound to the same job row with partial state already
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* written.
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*
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* PGLite in-memory so the schema, ON CONFLICT, and two-phase persistence
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* all exercise real SQL.
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*/
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import { describe, test, expect, beforeAll, afterAll, beforeEach } from 'bun:test';
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import { PGLiteEngine } from '../src/core/pglite-engine.ts';
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import { MinionQueue } from '../src/core/minions/queue.ts';
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import {
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makeSubagentHandler,
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RateLeaseUnavailableError,
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type MessagesClient,
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} from '../src/core/minions/handlers/subagent.ts';
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import type { ToolDef, MinionJobContext } from '../src/core/minions/types.ts';
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import type Anthropic from '@anthropic-ai/sdk';
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let engine: PGLiteEngine;
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let queue: MinionQueue;
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beforeAll(async () => {
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engine = new PGLiteEngine();
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await engine.connect({ databaseUrl: '' });
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await engine.initSchema();
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queue = new MinionQueue(engine);
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});
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afterAll(async () => {
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await engine.disconnect();
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});
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beforeEach(async () => {
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await engine.executeRaw('DELETE FROM subagent_tool_executions');
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await engine.executeRaw('DELETE FROM subagent_messages');
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await engine.executeRaw('DELETE FROM subagent_rate_leases');
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await engine.executeRaw('DELETE FROM minion_jobs');
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});
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// ── FakeMessagesClient ──────────────────────────────────────
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type FakeResponse = Partial<Anthropic.Message> & { content: Anthropic.Message['content'] };
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class FakeMessagesClient implements MessagesClient {
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public calls: Anthropic.MessageCreateParamsNonStreaming[] = [];
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constructor(private responses: FakeResponse[]) {}
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async create(
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params: Anthropic.MessageCreateParamsNonStreaming,
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): Promise<Anthropic.Message> {
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this.calls.push(params);
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if (this.responses.length === 0) throw new Error('FakeMessagesClient: out of scripted responses');
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const r = this.responses.shift()!;
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return {
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id: `msg_${this.calls.length}`,
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type: 'message',
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role: 'assistant',
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model: params.model,
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stop_reason: 'end_turn',
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stop_sequence: null,
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usage: { input_tokens: 10, output_tokens: 5, cache_read_input_tokens: 0, cache_creation_input_tokens: 0 } as any,
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...r,
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} as Anthropic.Message;
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}
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}
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// Build a synthetic MinionJobContext around a real minion_jobs row. The
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// handler only reads data/id/signal/shutdownSignal/updateTokens — we stub
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// the rest.
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async function makeCtx(input: unknown): Promise<MinionJobContext> {
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const job = await queue.add('subagent', input as Record<string, unknown>);
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const ac = new AbortController();
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const shutdown = new AbortController();
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return {
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id: job.id,
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name: job.name,
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data: (input as Record<string, unknown>) ?? {},
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attempts_made: 0,
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signal: ac.signal,
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shutdownSignal: shutdown.signal,
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async updateProgress() {},
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async updateTokens() {},
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async log() {},
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async isActive() { return true; },
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async readInbox() { return []; },
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};
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}
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// ── Tiny tool registry for tests ────────────────────────────
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function makeEchoTool(name = 'echo', idempotent = true): ToolDef {
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return {
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name,
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description: 'echo input',
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input_schema: { type: 'object', properties: { value: { type: 'string' } }, required: [] },
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idempotent,
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async execute(input) { return { echoed: input }; },
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};
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}
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function makeThrowingTool(name = 'broken'): ToolDef {
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return {
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name,
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description: 'always throws',
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input_schema: { type: 'object', properties: {}, required: [] },
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idempotent: true,
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async execute() { throw new Error('tool broken'); },
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};
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}
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// ── Tests ───────────────────────────────────────────────────
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describe('subagent handler happy path', () => {
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test('no-tool end_turn: returns text response + persists user + assistant rows', async () => {
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const client = new FakeMessagesClient([
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{ content: [{ type: 'text', text: 'hello world' }] as any, stop_reason: 'end_turn' },
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]);
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const handler = makeSubagentHandler({ engine, client, toolRegistry: [] });
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const ctx = await makeCtx({ prompt: 'hi' });
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const result = await handler(ctx);
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expect(result.result).toBe('hello world');
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expect(result.turns_count).toBe(1);
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expect(result.stop_reason).toBe('end_turn');
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expect(result.tokens.in).toBe(10);
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expect(result.tokens.out).toBe(5);
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const msgs = await engine.executeRaw<{ count: string }>(
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`SELECT count(*)::text AS count FROM subagent_messages WHERE job_id = $1`,
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[ctx.id],
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);
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expect(parseInt(msgs[0]!.count, 10)).toBe(2); // user seed + assistant
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});
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test('single tool_use turn: tool executes, two-phase row goes complete', async () => {
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const tool = makeEchoTool();
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const client = new FakeMessagesClient([
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{
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content: [
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{ type: 'tool_use', id: 'tu_1', name: 'echo', input: { value: 'v1' } } as any,
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],
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stop_reason: 'tool_use' as any,
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},
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{
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content: [{ type: 'text', text: 'done' }] as any,
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stop_reason: 'end_turn',
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},
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]);
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const handler = makeSubagentHandler({ engine, client, toolRegistry: [tool] });
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const ctx = await makeCtx({ prompt: 'go' });
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const result = await handler(ctx);
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expect(result.stop_reason).toBe('end_turn');
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expect(result.result).toBe('done');
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expect(client.calls.length).toBe(2);
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// tool_executions row complete with echoed output
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const rows = await engine.executeRaw<{ status: string; output: unknown }>(
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`SELECT status, output FROM subagent_tool_executions WHERE job_id = $1`,
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[ctx.id],
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);
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expect(rows.length).toBe(1);
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expect(rows[0]!.status).toBe('complete');
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const out = typeof rows[0]!.output === 'string' ? JSON.parse(rows[0]!.output as string) : rows[0]!.output;
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expect(out).toEqual({ echoed: { value: 'v1' } });
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});
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test('tool throws: row goes failed, model sees error, loop continues', async () => {
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const tool = makeThrowingTool();
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const client = new FakeMessagesClient([
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{
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content: [{ type: 'tool_use', id: 'tu_1', name: 'broken', input: {} } as any],
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stop_reason: 'tool_use' as any,
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},
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{
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content: [{ type: 'text', text: 'recovered' }] as any,
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stop_reason: 'end_turn',
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},
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]);
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const handler = makeSubagentHandler({ engine, client, toolRegistry: [tool] });
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const ctx = await makeCtx({ prompt: 'try' });
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const result = await handler(ctx);
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expect(result.stop_reason).toBe('end_turn');
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expect(result.result).toBe('recovered');
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const rows = await engine.executeRaw<{ status: string; error: string | null }>(
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`SELECT status, error FROM subagent_tool_executions WHERE job_id = $1`,
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[ctx.id],
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);
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expect(rows[0]!.status).toBe('failed');
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expect(rows[0]!.error).toContain('tool broken');
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});
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test('unknown tool name fails execution but loop continues', async () => {
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const client = new FakeMessagesClient([
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{
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content: [{ type: 'tool_use', id: 'tu_nope', name: 'no_such_tool', input: {} } as any],
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stop_reason: 'tool_use' as any,
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},
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{ content: [{ type: 'text', text: 'ok' }] as any, stop_reason: 'end_turn' },
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]);
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const handler = makeSubagentHandler({ engine, client, toolRegistry: [] });
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const ctx = await makeCtx({ prompt: 'x' });
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const result = await handler(ctx);
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expect(result.stop_reason).toBe('end_turn');
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const rows = await engine.executeRaw<{ status: string; error: string | null }>(
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`SELECT status, error FROM subagent_tool_executions WHERE job_id = $1`,
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[ctx.id],
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);
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expect(rows[0]!.status).toBe('failed');
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expect(rows[0]!.error).toContain('not in the registry');
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});
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test('max_turns exceeded returns stop_reason=max_turns', async () => {
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// Model keeps calling tool_use forever; we cap at 2 turns.
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const echoing: FakeResponse[] = Array.from({ length: 5 }).map((_, i) => ({
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content: [{ type: 'tool_use', id: `tu_${i}`, name: 'echo', input: {} } as any],
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stop_reason: 'tool_use' as any,
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}));
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const client = new FakeMessagesClient(echoing);
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const tool = makeEchoTool();
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const handler = makeSubagentHandler({ engine, client, toolRegistry: [tool] });
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const ctx = await makeCtx({ prompt: 'loop', max_turns: 2 });
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const result = await handler(ctx);
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expect(result.stop_reason).toBe('max_turns');
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expect(result.turns_count).toBe(2);
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});
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});
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describe('subagent handler replay (crash recovery)', () => {
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test('resumes from persisted messages when prior rows exist', async () => {
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// Seed an in-progress conversation by running the first client, then
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// running a second handler on the SAME job with responses starting at
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// turn 2. No duplicate user-seed row (ON CONFLICT DO NOTHING).
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const tool = makeEchoTool();
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const client1 = new FakeMessagesClient([
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{
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content: [{ type: 'tool_use', id: 'tu_1', name: 'echo', input: { v: 1 } } as any],
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stop_reason: 'tool_use' as any,
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},
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]);
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const handler1 = makeSubagentHandler({ engine, client: client1, toolRegistry: [tool] });
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const ctx = await makeCtx({ prompt: 'start' });
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// Run handler1 until it WOULD make a second LLM call — force that
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// second call to error so we persist only the first assistant message.
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try {
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const client1b = new FakeMessagesClient([
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{
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content: [{ type: 'tool_use', id: 'tu_1', name: 'echo', input: { v: 1 } } as any],
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stop_reason: 'tool_use' as any,
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},
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]);
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const interrupted = makeSubagentHandler({ engine, client: client1b, toolRegistry: [tool] });
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await interrupted(ctx);
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} catch {
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// Out-of-scripted-responses — simulates worker kill before turn 2.
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}
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// Confirm partial state: 1 user + 1 assistant + 1 synthesized user
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// (tool_result) + 1 tool_exec complete.
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const preRows = await engine.executeRaw<{ c: string }>(
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`SELECT count(*)::text AS c FROM subagent_messages WHERE job_id = $1`,
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[ctx.id],
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);
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const preCount = parseInt(preRows[0]!.c, 10);
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expect(preCount).toBeGreaterThanOrEqual(1);
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// Resume with a fresh handler + client that supplies ONE more response.
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const client2 = new FakeMessagesClient([
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{ content: [{ type: 'text', text: 'resumed ok' }] as any, stop_reason: 'end_turn' },
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]);
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const handler2 = makeSubagentHandler({ engine, client: client2, toolRegistry: [tool] });
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const result = await handler2(ctx);
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expect(result.result).toBe('resumed ok');
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expect(result.stop_reason).toBe('end_turn');
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// Second client should see the prior conversation in the messages
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// array — at minimum the user seed + prior assistant + tool_result.
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expect(client2.calls[0]!.messages.length).toBeGreaterThan(1);
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});
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test('prior completed tool exec is replayed without re-invoking execute', async () => {
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// Prior state: a completed tool row. We assert the tool's execute is
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// NOT called on resume. Use a tool that throws if invoked — passing
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// means we used the replay path.
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const throwingTool = makeThrowingTool('pre_done');
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const ctx = await makeCtx({ prompt: 'start' });
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// Seed prior state manually: user, assistant with tool_use, tool_exec complete.
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await engine.executeRaw(
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`INSERT INTO subagent_messages (job_id, message_idx, role, content_blocks)
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VALUES ($1, 0, 'user', $2::jsonb)`,
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[ctx.id, JSON.stringify([{ type: 'text', text: 'start' }])],
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);
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await engine.executeRaw(
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`INSERT INTO subagent_messages (job_id, message_idx, role, content_blocks, model)
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VALUES ($1, 1, 'assistant', $2::jsonb, 'claude-sonnet-4-6')`,
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[
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ctx.id,
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JSON.stringify([
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{ type: 'tool_use', id: 'tu_seeded', name: 'pre_done', input: {} },
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]),
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],
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);
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await engine.executeRaw(
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`INSERT INTO subagent_tool_executions (job_id, message_idx, tool_use_id, tool_name, input, status, output)
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VALUES ($1, 1, 'tu_seeded', 'pre_done', '{}'::jsonb, 'complete', $2::jsonb)`,
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[ctx.id, JSON.stringify({ replayed: true })],
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);
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// Handler MUST NOT call the throwing execute and MUST end the loop on
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// the next LLM response.
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const client = new FakeMessagesClient([
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{ content: [{ type: 'text', text: 'finished after replay' }] as any, stop_reason: 'end_turn' },
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]);
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const handler = makeSubagentHandler({ engine, client, toolRegistry: [throwingTool] });
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const result = await handler(ctx);
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expect(result.stop_reason).toBe('end_turn');
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expect(result.result).toBe('finished after replay');
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// Only one LLM call made on this resume (we had 2 persisted messages +
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// the tool result synthesis happened when resuming, then model spoke).
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expect(client.calls.length).toBe(1);
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});
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test('pending non-idempotent tool exec rejects on resume', async () => {
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const nonIdempotent = { ...makeEchoTool('do_once'), idempotent: false };
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const ctx = await makeCtx({ prompt: 'start' });
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await engine.executeRaw(
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`INSERT INTO subagent_messages (job_id, message_idx, role, content_blocks)
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VALUES ($1, 0, 'user', $2::jsonb)`,
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[ctx.id, JSON.stringify([{ type: 'text', text: 'start' }])],
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);
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await engine.executeRaw(
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`INSERT INTO subagent_messages (job_id, message_idx, role, content_blocks)
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VALUES ($1, 1, 'assistant', $2::jsonb)`,
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[
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ctx.id,
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JSON.stringify([{ type: 'tool_use', id: 'tu_x', name: 'do_once', input: {} }]),
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],
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);
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await engine.executeRaw(
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`INSERT INTO subagent_tool_executions (job_id, message_idx, tool_use_id, tool_name, input, status)
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VALUES ($1, 1, 'tu_x', 'do_once', '{}'::jsonb, 'pending')`,
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[ctx.id],
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);
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const client = new FakeMessagesClient([]);
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const handler = makeSubagentHandler({ engine, client, toolRegistry: [nonIdempotent] });
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await expect(handler(ctx)).rejects.toThrow(/non-idempotent/);
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});
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});
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describe('subagent handler lease behavior', () => {
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test('acquires + releases a lease around the LLM call', async () => {
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const client = new FakeMessagesClient([
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{ content: [{ type: 'text', text: 'ok' }] as any, stop_reason: 'end_turn' },
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]);
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const handler = makeSubagentHandler({
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engine, client, toolRegistry: [], maxConcurrent: 1, rateLeaseKey: 'k1',
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});
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const ctx = await makeCtx({ prompt: 'hi' });
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await handler(ctx);
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// No leases should remain after completion.
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const rows = await engine.executeRaw<{ c: string }>(
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`SELECT count(*)::text AS c FROM subagent_rate_leases`,
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);
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expect(parseInt(rows[0]!.c, 10)).toBe(0);
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});
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test('throws RateLeaseUnavailableError when cap full', async () => {
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// Preload the cap with a stale-looking-but-live lease owned by a
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// different job.
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const owner = await queue.add('holder', {});
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await engine.executeRaw(
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`INSERT INTO subagent_rate_leases (key, owner_job_id, expires_at)
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VALUES ('k_cap', $1, now() + interval '1 minute')`,
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[owner.id],
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);
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const client = new FakeMessagesClient([]);
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const handler = makeSubagentHandler({
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engine, client, toolRegistry: [], maxConcurrent: 1, rateLeaseKey: 'k_cap',
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});
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const ctx = await makeCtx({ prompt: 'blocked' });
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await expect(handler(ctx)).rejects.toBeInstanceOf(RateLeaseUnavailableError);
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});
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});
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describe('subagent handler input validation', () => {
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test('missing prompt throws', async () => {
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const client = new FakeMessagesClient([]);
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const handler = makeSubagentHandler({ engine, client, toolRegistry: [] });
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const ctx = await makeCtx({});
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await expect(handler(ctx)).rejects.toThrow(/prompt/);
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});
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test('allowed_tools unknown name rejected at dispatch', async () => {
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const tool = makeEchoTool('real');
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const client = new FakeMessagesClient([]);
|
|
const handler = makeSubagentHandler({ engine, client, toolRegistry: [tool] });
|
|
const ctx = await makeCtx({ prompt: 'x', allowed_tools: ['real', 'ghost_tool'] });
|
|
await expect(handler(ctx)).rejects.toThrow(/unknown tool/);
|
|
});
|
|
});
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