# corecoder/context.py:69-94@staticmethoddef _snip_tool_outputs(messages: list[dict]) -> bool:    changed = False    for m in messages:        if m.get("role") != "tool":         # 只处理工具输出            continue        content = m.get("content", "")        if len(content) <= 1500:            # 短输出不用管            continue        lines = content.splitlines()        if len(lines) <= 6:                 # 行数少的也不用管            continue        # 保留前 3 行 + 后 3 行        snipped = (            "\n".join(lines[:3])            + f"\n... ({len(lines)} lines, snipped to save context) ...\n"            + "\n".join(lines[-3:])        )        m["content"] = snipped        changed = True    return changed

# corecoder/context.py:96-117def _summarize_old(self, messages: list[dict], llm: LLM | None,                   keep_recent: int = 8) -> bool:    if len(messages) <= keep_recent:        return False    old = messages[:-keep_recent]       # 旧消息（除最后 8 条）    tail = messages[-keep_recent:]      # 最近消息（最后 8 条）    summary = self._get_summary(old, llm)   # 用 LLM 生成摘要    messages.clear()    messages.append({        "role": "user",        "content": f"[Context compressed - conversation summary]\n{summary}",    })    messages.append({        "role": "assistant",        "content": "Got it, I have the context from our earlier conversation.",    })    messages.extend(tail)    return True

# corecoder/context.py:135-161def _get_summary(self, messages: list[dict], llm: LLM | None) -> str:    flat = self._flatten(messages)    if llm:        try:            resp = llm.chat(                messages=[                    {                        "role": "system",                        "content": (                            "Compress this conversation into a brief summary. "                            "Preserve: file paths edited, key decisions made, "                            "errors encountered, current task state. "                            "Drop: verbose command output, code listings, "                            "redundant back-and-forth."                        ),                    },                    {"role": "user", "content": flat[:15000]},                ],            )            return resp.content        except Exception:            pass    # LLM 摘要失败，走降级方案    # 降级方案：用正则提取文件路径和错误信息    return self._extract_key_info(messages)

# corecoder/context.py:173-196@staticmethoddef _extract_key_info(messages: list[dict]) -> str:    import re    files_seen = set()    errors = []    for m in messages:        text = m.get("content", "") or ""        for match in re.finditer(r'[\w./\-]+\.\w{1,5}', text):            files_seen.add(match.group())        for line in text.splitlines():            if 'error' in line.lower() or 'Error' in line:                errors.append(line.strip()[:150])    parts = []    if files_seen:        parts.append(f"Files touched: {', '.join(sorted(files_seen)[:20])}")    if errors:        parts.append(f"Errors seen: {'; '.join(errors[:5])}")    return "\n".join(parts) or "(no extractable context)"

# corecoder/context.py:119-133def _hard_collapse(self, messages: list[dict], llm: LLM | None):    tail = messages[-4:] if len(messages) > 4 else messages[-2:]    summary = self._get_summary(messages[:-len(tail)], llm)    messages.clear()    messages.append({        "role": "user",        "content": f"[Hard context reset]\n{summary}",    })    messages.append({        "role": "assistant",        "content": "Context restored. Continuing from where we left off.",    })    messages.extend(tail)

# corecoder/context.py:45-67def maybe_compress(self, messages: list[dict], llm: LLM | None = None) -> bool:    current = estimate_tokens(messages)    compressed = False    # Layer 1: snip verbose tool outputs    if current > self._snip_at:        if self._snip_tool_outputs(messages):            compressed = True            current = estimate_tokens(messages)   # 重新估算    # Layer 2: LLM-powered summarization    if current > self._summarize_at and len(messages) > 10:        if self._summarize_old(messages, llm, keep_recent=8):            compressed = True            current = estimate_tokens(messages)   # 重新估算    # Layer 3: hard collapse    if current > self._collapse_at and len(messages) > 4:        self._hard_collapse(messages, llm)        compressed = True    return compressed

# corecoder/session.py:15-31def save_session(messages: list[dict], model: str, session_id: str | None = None) -> str:    SESSIONS_DIR.mkdir(parents=True, exist_ok=True)   # 确保 ~/.corecoder/sessions/ 存在    if not session_id:        session_id = f"session_{int(time.time())}"    # 用时间戳生成 ID    data = {        "id": session_id,        "model": model,        "saved_at": time.strftime("%Y-%m-%d %H:%M:%S"),        "messages": messages,    }    path = SESSIONS_DIR / f"{session_id}.json"    path.write_text(json.dumps(data, ensure_ascii=False, indent=2))    return session_id

# corecoder/session.py:34-41def load_session(session_id: str) -> tuple[list[dict], str] | None:    path = SESSIONS_DIR / f"{session_id}.json"    if not path.exists():        return None    data = json.loads(path.read_text())    return data["messages"], data["model"]

# corecoder/prompt.py（完整代码）import osimport platformdef system_prompt(tools) -> str:    cwd = os.getcwd()    tool_list = "\n".join(f"- **{t.name}**: {t.description}" for t in tools)    uname = platform.uname()    return f"""\You are CoreCoder, an AI coding assistant running in the user's terminal.You help with software engineering: writing code, fixing bugs, refactoring,explaining code, running commands, and more.# Environment- Working directory: {cwd}- OS: {uname.system} {uname.release} ({uname.machine})- Python: {platform.python_version()}# Tools{tool_list}# Rules1. **Read before edit.** Always read a file before modifying it.2. **edit_file for small changes.** Use edit_file for targeted edits; write_file   only for new files or complete rewrites.3. **Verify your work.** After making changes, run relevant tests or commands.4. **Be concise.** Show code over prose. Explain only what's necessary.5. **One step at a time.** For multi-step tasks, execute them sequentially.6. **edit_file uniqueness.** Include enough surrounding context in old_string.7. **Respect existing style.** Match the project's coding conventions.8. **Ask when unsure.** If the request is ambiguous, ask for clarification."""