Files
shiro-neko/test/compact.test.ts
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Muhammad Zakir Ramadhan 5b8503fcd9 Initial commit: shiro-neko 0.1.0-beta.1
Agentic coding CLI on Bun, Ink, and the AI SDK.

Core: streamText loop with SDK-level tool approval so a denied call provably never executes; endpoint fallback for OpenAI reasoning models; retry with backoff.

Tools: read/write/edit/glob/grep/bash, path-jailed, gitignore-aware, ripgrep with a JS fallback, binary rejection, live bash streaming.

Agents: five variants crossing thinking level with tool restriction; plan and review withhold mutating tools from the model.

Extensibility: frontmatter skills with on-demand bodies, plugin host with blocking hooks, MCP stdio and HTTP, read-only subagents.

State: durable per-project memory, session task lists, session persistence, compaction that repairs provider-item dependencies.

Distribution: five-platform cross-compiled binaries with checksums, install scripts, CI on three operating systems.

404 tests, typecheck clean.
2026-09-02 17:30:18 +07:00

176 lines
5.8 KiB
TypeScript

import { expect, test } from 'bun:test';
import { MockLanguageModelV4, simulateReadableStream } from 'ai/test';
import type { LanguageModelV4CallOptions, LanguageModelV4StreamPart } from '@ai-sdk/provider';
import type { ModelMessage } from 'ai';
import { Session, type AgentEvent } from '../src/session';
const usage = {
inputTokens: { total: 10, noCache: 10, cacheRead: 0, cacheWrite: 0 },
outputTokens: { total: 5 },
} as any;
const stream = (parts: LanguageModelV4StreamPart[]) => ({
stream: simulateReadableStream({ chunks: parts, chunkDelayInMs: null, initialDelayInMs: null }),
});
const text = (body: string): LanguageModelV4StreamPart[] => [
{ type: 'text-start', id: '0' },
{ type: 'text-delta', id: '0', delta: body },
{ type: 'text-end', id: '0' },
{ type: 'finish', finishReason: { unified: 'stop', raw: 'stop' }, usage },
];
/** One assistant turn carrying a bulky tool call plus its result. */
function bulkyExchange(i: number): ModelMessage[] {
return [
{ role: 'user', content: `question ${i}` },
{
role: 'assistant',
content: [{ type: 'tool-call', toolCallId: `t${i}`, toolName: 'read_file', input: { path: `f${i}.ts` } }],
},
{
role: 'tool',
content: [
{
type: 'tool-result',
toolCallId: `t${i}`,
toolName: 'read_file',
output: { type: 'text', value: 'x'.repeat(5000) },
},
],
},
];
}
test('history under the threshold is sent untouched', async () => {
const seen: LanguageModelV4CallOptions[] = [];
const session = new Session({
model: new MockLanguageModelV4({
doStream: async (o) => {
seen.push(o);
return stream(text('ok'));
},
}),
askApproval: async () => 'deny',
messages: [...bulkyExchange(0)],
compactThreshold: 1_000_000,
});
for await (const _ of session.send('next')) void _;
expect(JSON.stringify(seen[0]?.prompt)).toContain('x'.repeat(5000));
});
test('history over the threshold is pruned before reaching the model', async () => {
const messages = [...bulkyExchange(0), ...bulkyExchange(1), ...bulkyExchange(2), ...bulkyExchange(3)];
const seen: LanguageModelV4CallOptions[] = [];
const session = new Session({
model: new MockLanguageModelV4({
doStream: async (o) => {
seen.push(o);
return stream(text('ok'));
},
}),
askApproval: async () => 'deny',
messages: [...messages],
compactThreshold: 1000,
});
const beforeTokens = session.estimatedTokens();
expect(beforeTokens).toBeGreaterThan(1000);
const events: string[] = [];
for await (const ev of session.send('next')) events.push(ev.type);
const sentSize = JSON.stringify(seen[0]?.prompt).length;
expect(sentSize).toBeLessThan(JSON.stringify(messages).length);
// Pruning is for the wire only; the local history keeps every message.
expect(session.messages.length).toBeGreaterThan(messages.length);
expect(events).toContain('compacted');
});
test('the compacted event reports the counts and arrives before done', async () => {
const messages = [...bulkyExchange(0), ...bulkyExchange(1), ...bulkyExchange(2), ...bulkyExchange(3)];
const session = new Session({
model: new MockLanguageModelV4({ doStream: async () => stream(text('ok')) }),
askApproval: async () => 'deny',
messages: [...messages],
compactThreshold: 1000,
});
const events: AgentEvent[] = [];
for await (const ev of session.send('next')) events.push(ev);
const compacted = events.find((e) => e.type === 'compacted');
if (compacted?.type !== 'compacted') throw new Error('expected a compacted event');
expect(compacted.before).toBeGreaterThan(compacted.after);
expect(compacted.after).toBeGreaterThan(0);
expect(events.findIndex((e) => e.type === 'compacted')).toBeLessThan(
events.findIndex((e) => e.type === 'done'),
);
});
test('history under the threshold emits no compacted event', async () => {
const session = new Session({
model: new MockLanguageModelV4({ doStream: async () => stream(text('ok')) }),
askApproval: async () => 'deny',
messages: [...bulkyExchange(0)],
compactThreshold: 1_000_000,
});
const events: string[] = [];
for await (const ev of session.send('next')) events.push(ev.type);
expect(events).not.toContain('compacted');
});
test('summarize replaces the whole history with one summary message', async () => {
let generateCalls = 0;
const session = new Session({
model: new MockLanguageModelV4({
doGenerate: async () => {
generateCalls++;
return {
content: [{ type: 'text', text: '- goal: add pagination\n- touched: src/users.ts\n- todo: add tests' }],
finishReason: { unified: 'stop', raw: 'stop' },
usage,
warnings: [],
} as any;
},
}),
askApproval: async () => 'deny',
messages: [...bulkyExchange(0), ...bulkyExchange(1)],
});
const { before, after } = await session.summarize();
expect(generateCalls).toBe(1);
expect(before).toBe(6);
expect(after).toBe(1);
expect(session.messages).toHaveLength(1);
expect(session.messages[0]?.role).toBe('user');
expect(String(session.messages[0]?.content)).toContain('add pagination');
});
test('summarize on an empty session is a no-op', async () => {
const session = new Session({
model: new MockLanguageModelV4({ doGenerate: async () => ({}) as any }),
askApproval: async () => 'deny',
});
expect(await session.summarize()).toEqual({ before: 0, after: 0 });
});
test('onChange fires for every history mutation so autosave stays current', async () => {
const snapshots: number[] = [];
const session = new Session({
model: new MockLanguageModelV4({ doStream: async () => stream(text('ok')) }),
askApproval: async () => 'deny',
onChange: (m) => snapshots.push(m.length),
});
for await (const _ of session.send('hello')) void _;
expect(snapshots).toEqual([1, 2]);
});