<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"role": "system", "content": "1. Identity: terminal-first agent\n   Act as a terminal-oriented engineering agent. Prefer terse, operational guidance suitable for a CLI. Optimize for clarity and execution over conversational tone.\n\n2. Professional objectivity: correctness over comfort\n   Operate with engineering-level objectivity. Do not provide emotional validation or “comfort-first” responses. If the user is wrong, say so plainly and help them converge on the correct model of reality. When uncertain, state uncertainty and verify before asserting. Avoid flattery, hype, or agreement-for-agreement’s-sake; prioritize accurate correction and actionable truth.\n\n3. Planning without timelines: executable steps, no scheduling claims\n   When planning work, provide an executable procedure: concrete steps, prerequisites, decision points, and success criteria. Do not include time estimates, deadlines, or schedule narratives. Do not defer with vague “later” actions or future promises. This constraint exists to prevent two common failure modes: (a) invented timelines that mislead operators, and (b) timeline language being used as an escape hatch to avoid execution. Provide the “how” as a checklist; the operator owns the “when.”\n\n4. Edits: minimal surface area\n   Change only what is required to satisfy the request. Read relevant code before suggesting edits. Avoid opportunistic refactors, aesthetic cleanups, or speculative generalizations. Add documentation/typing/extra guards only when they are essential to the requested change or at true external boundaries.\n\n5. Hooks: honor hook output as operator directives\n   Hook messages are authoritative signals from the operator’s environment. If a hook blocks progress, adapt behavior to comply with the hook’s feedback; otherwise request the operator to review hook rules and configuration.\n\nDo not rely on `.zsh_history` as authoritative context unless explicitly requested by the user.\n\n# Working Environment\n\n## Operating System\n\nThe operating environment is not in a sandbox. Any action especially mutation you do will immediately affect the user's system. So you MUST be extremely cautious.\n\n## Working Directory\nThe current working directory is `/home/draplater/Development/cyf_cli/oturn/src/oturn`.\nThe directory listing of current working directory is:\n\n```\n(omitted) work_dir=/home/draplater/Development/cyf_cli/oturn/src/oturn\n```\n\n# Project Information\n``\n", "name": null, "tool_call_id": null, "tool_calls": null, "usage": null, "reasoning_content": null, "model_name": null, "extra": null} -->

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<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"content": {"email": null, "tool_contents": null}, "name": null, "tool_call_id": null, "tool_calls": null, "usage": null, "reasoning_content": null, "model_name": null, "extra": null} -->

# [<!-- md_as_config:ctx:value-begin json-path=$.role --> user <!-- md_as_config:ctx:value-end -->]

From: <!-- md_as_config:ctx:value-begin json-path=$.content.user_name --> User <!-- md_as_config:ctx:value-end -->
Date: <!-- md_as_config:ctx:value-begin type=json json-path=$.content.date --> {"ts": 1771656863.852829, "tz": "+08:00"} <!-- md_as_config:ctx:value-end -->

<!-- md_as_config:ctx:multi-line-value-begin json-path=$.content.content -->
最长春节档开门红 电影票串起消费“文化纽带”
爱上“中国范儿” 外国人来华过年购物成为新风尚
全球洞察 巴拿马唐人街热闹迎新年
新疆文旅市场春意盎然
十三连冠的春晚是这样诞生的 专题｜京彩中国年
今日辟谣 北京网站辟谣平台 互联网联合辟谣平台
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<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"name": null, "tool_call_id": null, "model_name": "MiniMax-M2.5", "extra": null} -->

# [<!-- md_as_config:ctx:value-begin json-path=$.role --> assistant <!-- md_as_config:ctx:value-end -->]

<!-- md_as_config:ctx:multi-line-value-begin json-path=$.reasoning_content -->
The user has shared what appears to be Chinese text content, possibly from a news webpage or article listing. Let me analyze what this content is:

1. "最长春节档开门红 电影票串起消费"文化纽带"" - This appears to be a headline about the Chinese New Year film season (春节档) being successful, with movie tickets connecting consumption as a "cultural bond"

2. "爱上"中国范儿" 外国人来华过年购物成为新风尚" - About foreigners coming to China for Chinese New Year and shopping, becoming a new trend - loving "Chinese style"

3. "全球洞察 巴拿马唐人街热闹迎新年" - Global insight: Panama's Chinatown bustling to welcome the new year

4. "新疆文旅市场春意盎然" - Xinjiang cultural tourism market bustling with spring energy

5. "十三连冠的春晚是这样诞生的 专题｜京彩中国年" - About the Spring Festival Gala achieving 13 consecutive championships, a special feature about "Beijing Color Chinese New Year"

6. "今日辟谣 北京网站辟谣平台 互联网联合辟谣平台" - Today's rumor clarification, Beijing website rumor clarification platform, Internet joint rumor clarification platform

This looks like a collection of headlines or a navigation menu from a Chinese news website, possibly from a feature about Chinese New Year (春节) celebrations.

The user hasn't asked a specific question. They might be:
1. Testing to see if I can read/understand Chinese
2. Asking me to summarize the content
3. Sharing content they want me to analyze or work with
4. Possibly they've sent this by mistake

Given the context and the identity guidance (terminal-first agent, terse operational guidance), I should respond in Chinese since the content is in Chinese, and ask what they want me to do with this content, or if they have a specific request.

Wait, let me reconsider. The user hasn't actually asked a question - they've just sent content. 

I'll wait for further instructions or clarification about their intent.
<!-- md_as_config:ctx:multi-line-value-end -->
<!-- md_as_config:ctx:value-begin json-path=$.content --> 收到。这是关于2026年春节的新闻标题摘要，涵盖：

- 春节档电影市场开门红
- 外国人来华过年购物新趋势
- 巴拿马唐人街迎新年
- 新疆文旅市场繁荣
- 春晚专题报道
- 辟谣平台信息

请问需要我做什么？例如：

- 搜索/验证某条新闻的详细内容
- 分析这些内容的共同主题
- 其他操作 <!-- md_as_config:ctx:value-end -->
<!-- md_as_config:ctx:code-block-begin lang=json type=null json-path=$.tool_calls -->
```json
```
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<!-- md_as_config:ctx:code-block-begin lang=json type=json json-path=$.usage -->
```json
{"completion_tokens": 510, "prompt_tokens": 1529, "total_tokens": 2039, "completion_tokens_details": {"reasoning_tokens": 0, "text_tokens": 510}, "prompt_tokens_details": {"cached_tokens": 0, "cache_creation_tokens": 0}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}
```
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