aeaa658f77
- Raise context window fallback from 8k to 128k for unknown OpenAI-compat models. The 8k fallback caused effective context (8k minus output reservation) to go negative, making auto-compact fire on every single message. - Add safety floor in getEffectiveContextWindowSize(): effective context is always at least reservedTokensForSummary + 13k buffer, ensuring the auto-compact threshold stays positive. - Add missing MiniMax model entries (M2.5, M2.5-highspeed, M2.1, M2.1-highspeed) all at 204,800 context / 131,072 max output per MiniMax docs. - Add tests for MiniMax variants, 128k fallback, and autoCompact floor. Fixes #635 Co-authored-by: root <root@vm7508.lumadock.com>
46 lines
1.7 KiB
TypeScript
46 lines
1.7 KiB
TypeScript
import { describe, expect, test } from 'bun:test'
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import {
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getEffectiveContextWindowSize,
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getAutoCompactThreshold,
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} from './autoCompact.ts'
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describe('getEffectiveContextWindowSize', () => {
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test('returns positive value for known models with large context windows', () => {
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// claude-sonnet-4 has 200k context
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const effective = getEffectiveContextWindowSize('claude-sonnet-4')
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expect(effective).toBeGreaterThan(0)
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})
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test('never returns negative even for unknown 3P models (issue #635)', () => {
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// Previously, unknown 3P models got 8k context → effective context was
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// 8k minus 20k summary reservation = -12k, causing infinite auto-compact.
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// Now the fallback is 128k and there's a floor, so effective is always
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// at least reservedTokensForSummary + buffer.
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process.env.CLAUDE_CODE_USE_OPENAI = '1'
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try {
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const effective = getEffectiveContextWindowSize('some-unknown-3p-model')
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expect(effective).toBeGreaterThan(0)
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// Must be at least summary reservation (20k) + buffer (13k) = 33k
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expect(effective).toBeGreaterThanOrEqual(33_000)
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} finally {
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delete process.env.CLAUDE_CODE_USE_OPENAI
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}
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})
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})
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describe('getAutoCompactThreshold', () => {
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test('returns positive threshold for known models', () => {
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const threshold = getAutoCompactThreshold('claude-sonnet-4')
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expect(threshold).toBeGreaterThan(0)
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})
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test('never returns negative threshold even for unknown 3P models (issue #635)', () => {
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process.env.CLAUDE_CODE_USE_OPENAI = '1'
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try {
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const threshold = getAutoCompactThreshold('some-unknown-3p-model')
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expect(threshold).toBeGreaterThan(0)
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} finally {
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delete process.env.CLAUDE_CODE_USE_OPENAI
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}
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})
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}) |