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https://github.com/deepseek-ai/deepseek-harness
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fix(compact): use English checkpoints
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@@ -2,5 +2,5 @@
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# side as of the last confirmed-consistent state. Both languages carry equal authority;
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# after editing either side, bring the other along and re-record with:
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# pnpm run verify-translation-pairing --write packages/compact/compact-basic/README.md
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README.md: 775355f1ac1a7c79c16f66a5b2489d73df7b960d
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README.zh.md: bfa139596b5ef61c23d29575bdea5534fa82b158
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README.md: 28f27c192c8fe13b01a950d5a5814669c79c5afe
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README.zh.md: edac643e69a2cd06832ee0dcbf8b19b5d906386a
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@@ -107,7 +107,7 @@ The summarization model receives the conversation replayed verbatim — the same
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##### Compaction instruction (final user message)
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```markdown
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You are now acting as a compaction engine for this AI coding assistant. Condense the conversation ABOVE into a structured checkpoint that lets another model resume the work with no loss of essential context.
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You are now acting as a compaction engine for this AI coding assistant. Produce only an English-language internal engineering checkpoint that condenses the conversation ABOVE into a structured checkpoint that lets another model resume the work with no loss of essential context. Translate narrative source material as needed; preserve exact literals.
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Output EXACTLY the Markdown structure below: keep every section, in order. Use terse bullets, not prose paragraphs. Write "(none)" for an empty section — never drop a section.
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@@ -107,7 +107,7 @@ This is an automatically generated checkpoint condensing an earlier span of the
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##### 压缩指令(最终 user 消息)
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```markdown
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You are now acting as a compaction engine for this AI coding assistant. Condense the conversation ABOVE into a structured checkpoint that lets another model resume the work with no loss of essential context.
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You are now acting as a compaction engine for this AI coding assistant. Produce only an English-language internal engineering checkpoint that condenses the conversation ABOVE into a structured checkpoint that lets another model resume the work with no loss of essential context. Translate narrative source material as needed; preserve exact literals.
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Output EXACTLY the Markdown structure below: keep every section, in order. Use terse bullets, not prose paragraphs. Write "(none)" for an empty section — never drop a section.
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@@ -29,7 +29,7 @@ const SUMMARY_CLOSE_TAG = '</compacted-summary>'
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* request, so the provider's KV cache is reused instead of invalidated.
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*/
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const COMPACTION_INSTRUCTION = [
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'You are now acting as a compaction engine for this AI coding assistant. Condense the conversation ABOVE into a structured checkpoint that lets another model resume the work with no loss of essential context.',
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'You are now acting as a compaction engine for this AI coding assistant. Produce only an English-language internal engineering checkpoint that condenses the conversation ABOVE into a structured checkpoint that lets another model resume the work with no loss of essential context. Translate narrative source material as needed; preserve exact literals.',
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'',
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'Output EXACTLY the Markdown structure below: keep every section, in order. Use terse bullets, not prose paragraphs. Write "(none)" for an empty section — never drop a section.',
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'',
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@@ -1224,7 +1224,8 @@ describe('default one-shot summarizer', () => {
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expect(messages[0]).toEqual(prefix)
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const last = messages.at(-1)?.content[0]
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const lastText = last?.type === 'text' ? last.text : ''
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expect(lastText).toContain('Condense the conversation ABOVE')
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expect(lastText).toContain('Produce only an English-language internal engineering checkpoint')
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expect(lastText).toContain('Translate narrative source material as needed; preserve exact literals.')
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expect(lastText).toContain('## Primary Request and Intent')
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})
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@@ -342,6 +342,11 @@ describe('context-overflow recovery across the real loop and compact-basic', ()
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expect(adapter.conversationRequests).toHaveLength(2)
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expect(adapter.summaryRequests).toHaveLength(1)
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const instruction = adapter.summaryRequests[0]!.messages.at(-1)?.content
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.map(block => (block.type === 'text' ? block.text : ''))
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.join('') ?? ''
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expect(instruction).toContain('Produce only an English-language internal engineering checkpoint')
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expect(instruction).toContain('Translate narrative source material as needed; preserve exact literals.')
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expect(JSON.stringify(adapter.conversationRequests[0]!.messages)).toContain('OLD HISTORY SENTINEL')
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const retry = JSON.stringify(adapter.conversationRequests[1]!.messages)
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expect(retry).toContain('RECOVERY CHECKPOINT')
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