fix: 修复 s09 memory pipeline 无法处理非 text 响应块的问题

[neystan]

问题背景

s09_memory/code.py 中的记忆流程在多个位置直接读取 response.content[0].text。当模型返回的第一个 block 不是 text，而是 ThinkingBlock 等其他类型时，会直接抛错，导致记忆选择、记忆抽取或记忆合并流程中断。

相关逻辑原本类似：

text = response.content[0].text.strip()

由于记忆抽取流程中断，后续不会继续执行 .memory/*.md 写入和 MEMORY.md 索引更新，因此表现上会出现“助手说记住了，但实际没有写入记忆”的情况。

问题表现

运行过程中可能出现类似报错：

[Memory extraction failed] 'ThinkingBlock' object has no attribute 'text'

出现该问题后，记忆内容无法正常写入 .memory/，也无法被后续对话正确加载。

修复方式

本次修复将响应内容读取方式改为统一提取所有 text block，而不是假设第一个 block 一定带有 .text 属性。

修复后即使模型返回 ThinkingBlock 或其他非 text block，记忆流程仍然可以继续完成文本提取、结果解析、记忆写入和索引更新：

def _response_text(blocks) -> str:
    parts = []
    for block in blocks:
        if getattr(block, "type", None) == "text":
            parts.append(getattr(block, "text", ""))
    return "\n".join(p for p in parts if p).strip()

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[Copilot]

Pull request overview

Note

Copilot was unable to run its full agentic suite in this review.

This PR refactors memory extraction/parsing to be more resilient (handling non-text blocks, reporting failures) and adds basic de-duplication when writing memory files. It also changes how the “update todos” reminder is injected into the agent loop.

Changes:

• Add helpers for response text extraction and memory de-duplication during storage.
• Improve extractor error handling/logging and reuse the new response-text helper across memory flows.
• Modify the agent loop to append a reminder message and reset the reminder counter.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 5 comments.

File	Description
s09_memory/code.py	Adds _response_text and _store_memories, updates memory selection/extraction/consolidation to use them, and improves logging/de-duping.
s07_skill_loading/code.py	Changes reminder injection strategy in agent_loop to append a new user message and reset the counter.

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