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NetMesh/infrastructure/ai/harness/contextBudget.test.ts

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import assert from 'node:assert/strict';
import test from 'node:test';
import {
computeCompactionBuffer,
computeCompactionThreshold,
computeTotalInputTokens,
DEFAULT_MAX_OUTPUT_TOKENS,
shouldCompactByBudget,
} from './contextBudget.ts';
import type { ModelMessage } from 'ai';
test('computeCompactionThreshold reserves output and buffer', () => {
const threshold = computeCompactionThreshold({
contextWindow: 128_000,
maxOutputTokens: 4096,
});
const buffer = computeCompactionBuffer(128_000, 4096);
assert.equal(threshold, 128_000 - 4096 - buffer - 150);
assert.ok(threshold < 128_000 * 0.85);
});
test('shouldCompactByBudget triggers when total input exceeds threshold', () => {
const messages: ModelMessage[] = [{ role: 'user', content: 'x'.repeat(400_000) }];
assert.equal(shouldCompactByBudget({
messages,
contextWindow: 128_000,
maxOutputTokens: 4096,
providerId: 'openai',
}), true);
});
test('computeTotalInputTokens includes system and tool names', () => {
const messages: ModelMessage[] = [{ role: 'user', content: 'hello' }];
const withExtras = computeTotalInputTokens({
messages,
systemPrompt: 'system prompt',
toolNames: ['terminal_execute', 'sftp_read'],
providerId: 'anthropic',
});
const base = computeTotalInputTokens({ messages, providerId: 'anthropic' });
assert.ok(withExtras > base);
});
test('computeCompactionThreshold keeps a reasonable threshold for small context windows', () => {
const threshold8k = computeCompactionThreshold({
contextWindow: 8_192,
maxOutputTokens: DEFAULT_MAX_OUTPUT_TOKENS,
});
assert.ok(threshold8k > 1_000);
assert.ok(threshold8k < 8_192 * 0.85);
const threshold4k = computeCompactionThreshold({
contextWindow: 4_096,
maxOutputTokens: DEFAULT_MAX_OUTPUT_TOKENS,
});
assert.ok(threshold4k > 500);
assert.ok(threshold4k < 4_096 * 0.85);
});