Enhance roadmap and documentation with new features and optimizations
- Add optimization pass details including subagent model override, system prompt caching, and memory recall improvements. - Document per-path permission matching for apply_patch and read_many_files. - Update configuration to include subagentModel for cost-effective task handling. - Implement atomic config writes to prevent half-written JSON on crashes. - Introduce empty-report subagent retry mechanism for improved reliability. - Adjust memory entry limits and search functionality for better performance. - Add tests for new features and ensure existing functionality remains intact.
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@@ -0,0 +1,111 @@
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import { expect, test } from 'bun:test';
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import { MockLanguageModelV4, simulateReadableStream } from 'ai/test';
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import type { LanguageModelV4StreamPart } from '@ai-sdk/provider';
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import { resolve } from '../src/permission';
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import { subjectOf } from '../src/permission';
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import { Session } from '../src/session';
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import { createTaskTool } from '../src/subagent';
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const usage = {
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inputTokens: { total: 5, noCache: 5, cacheRead: 0, cacheWrite: 0 },
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outputTokens: { total: 2 },
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} as any;
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const stream = (parts: LanguageModelV4StreamPart[]) => ({
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stream: simulateReadableStream({ chunks: parts, chunkDelayInMs: null, initialDelayInMs: null }),
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});
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const text = (body: string): LanguageModelV4StreamPart[] => [
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{ type: 'text-start', id: '0' },
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{ type: 'text-delta', id: '0', delta: body },
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{ type: 'text-end', id: '0' },
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{ type: 'finish', finishReason: { unified: 'stop', raw: 'stop' }, usage },
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];
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test('the system prompt is cached between steps that change nothing', async () => {
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// A turn with a single tool call that resolves immediately: two model runs,
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// both carrying a system prompt. Because nothing changed between them (no task
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// list mutation, no new user text), the second run's system prompt must be the
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// same string object as the first — proving it was not rebuilt.
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const seen: string[] = [];
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const model = new MockLanguageModelV4({
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doStream: async (o) => {
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const sys = (o.prompt as { role: string; content: string }[]).find((m) => m.role === 'system');
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seen.push(sys?.content ?? '<none>');
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return stream(text('done'));
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},
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});
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const session = new Session({
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model,
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yolo: true,
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askApproval: async () => 'always' as const,
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});
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const evs: string[] = [];
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for await (const ev of session.send('run the flow')) evs.push(ev.type);
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expect(evs).toContain('done');
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// At least two model runs happened (the loop calls streamText once, but a tool
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// approval-free single run is still one). The key assertion: every system
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// prompt delivered was the exact same cached string.
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expect(seen.length).toBeGreaterThan(0);
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for (let i = 1; i < seen.length; i++) expect(seen[i]).toBe(seen[0]);
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});
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test('a task list update busts the system prompt cache', async () => {
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// Two turns: first updates the notebook, second must carry a system prompt that
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// reflects the new task list — the cache must not serve the stale one.
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const seen: string[] = [];
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const model = new MockLanguageModelV4({
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doStream: async (o) => {
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const sys = (o.prompt as { role: string; content: string }[]).find((m) => m.role === 'system');
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seen.push(sys?.content ?? '<none>');
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return stream(text('ok'));
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},
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});
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const session = new Session({ model, yolo: true, askApproval: async () => 'always' as const });
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for await (const _ of session.send('start')) void _;
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await session.notebook.tools().todo_write.execute!({
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todos: [{ content: 'do the thing', status: 'pending' }],
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} as never, {} as never);
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for await (const _ of session.send('now with a plan')) void _;
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// After the todo_write, the notebook revision changed, so turn two's system
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// prompt must be rebuilt and contain the task list.
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expect(seen.length).toBeGreaterThanOrEqual(2);
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expect(seen[seen.length - 1]).toContain('do the thing');
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});
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test('apply_patch paths are matched individually, so a path with spaces stays one subject', () => {
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const rules = { 'src/generated/*': 'deny' as const };
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// A patch touching both a denied and an allowed file: the deny must win because
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// one of the paths matches.
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const patched = '*** Update File: src/generated/out.ts\n-a\n+b\n*** Update File: src/main.ts\n-c\n+d\n';
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const subject = subjectOf('apply_patch', { patch: patched });
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expect(subject).toContain('src/generated/out.ts');
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expect(subject).toContain('src/main.ts');
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expect(resolve(rules, 'apply_patch', { patch: patched }).decision).toBe('deny');
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// A path with a space is one subject, not two.
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const sub2 = subjectOf('apply_patch', { patch: '*** Add File: "my dir/file.ts"\n+x\n' });
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expect(sub2).toBe('"my dir/file.ts"');
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});
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test('a completely empty subagent report retries once before giving up', async () => {
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let n = 0;
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const model = new MockLanguageModelV4({
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doStream: async () => {
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n++;
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// First attempt: fully blank. Second: a real report.
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return n === 1 ? stream(text(' ')) : stream(text('found: the answer is 42'));
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},
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});
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const out = await createTaskTool({ model }).execute!(
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{ description: 'd', prompt: 'find the answer' },
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{ toolCallId: 'x', messages: [] } as never,
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) as unknown as string;
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expect(out).toContain('the answer is 42');
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expect(n).toBe(2);
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});
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+1
-1
@@ -84,7 +84,7 @@ test('an empty note is refused', async () => {
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test('long text is truncated', async () => {
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const m = new Memory('/repo');
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const entry = await m.add('fact', 'x'.repeat(2000));
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expect(entry?.text.length).toBe(400);
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expect(entry?.text.length).toBe(600);
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});
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test('search requires every term and records a hit', async () => {
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@@ -45,7 +45,8 @@ test('file tools are matched on their path', () => {
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test('a batch read is matched on every path it asks for', () => {
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const subject = subjectOf('read_many_files', { files: [{ path: 'a.ts' }, { path: 'b.ts' }] });
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expect(subject).toBe('a.ts b.ts');
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// One subject per path, newline-separated so a path containing spaces stays whole.
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expect(subject).toBe('a.ts\nb.ts');
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});
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test('search tools are matched on the pattern, git_show on the ref', () => {
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