{_esc(content)}'
def _message_fingerprint(msg: dict[str, Any]) -> str:
return json.dumps(msg, ensure_ascii=False, sort_keys=True, default=str)
def _common_prefix_len(a: list[dict[str, Any]], b: list[dict[str, Any]]) -> int:
n = 0
for left, right in zip(a, b):
if _message_fingerprint(left) != _message_fingerprint(right):
break
n += 1
return n
def _split_history_and_latest(
messages: list[dict[str, Any]],
prev_messages: list[dict[str, Any]] | None,
) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]:
"""
Split request messages into (history, latest).
``latest`` is only what is newly added since the previous LLM input;
``history`` is everything else (hidden by default in the UI).
"""
if not messages:
return [], []
if not prev_messages:
if len(messages) > 1 and messages[0].get("role") == "system":
return messages[:1], messages[1:]
return [], list(messages)
curr_has_sys = messages[0].get("role") == "system"
prev_has_sys = prev_messages[0].get("role") == "system"
curr_sys = messages[0] if curr_has_sys else None
prev_sys = prev_messages[0] if prev_has_sys else None
curr_rest = messages[1:] if curr_has_sys else messages
prev_rest = prev_messages[1:] if prev_has_sys else prev_messages
k = _common_prefix_len(curr_rest, prev_rest)
history_rest = curr_rest[:k]
latest = list(curr_rest[k:])
history: list[dict[str, Any]] = []
if curr_sys is not None:
history.append(curr_sys)
history.extend(history_rest)
# Surface an updated system prompt in the latest section
if (
curr_sys is not None
and prev_sys is not None
and _message_fingerprint(curr_sys) != _message_fingerprint(prev_sys)
):
latest = [curr_sys, *latest]
history = list(history_rest)
if not latest:
return messages[:-1], messages[-1:]
return history, latest
def _role_badge(role: str) -> str:
return f'{_esc(role)}'
def _render_messages(
messages: list[dict[str, Any]] | None,
*,
index_offset: int = 0,
default_open: bool | None = None,
) -> str:
if not messages:
return '无消息
' parts: list[str] = [] for i, msg in enumerate(messages): role = msg.get("role", "?") body_parts: list[str] = [] if msg.get("content"): body_parts.append(_pre(msg["content"], klass="code prose")) if msg.get("tool_calls"): body_parts.append( '(empty)
'}本次请求未附带 tools
' names = [] for t in tools: fn = t.get("function") or t names.append(fn.get("name", "?")) chips = "".join(f'{_esc(n)}' for n in names) return f"""本次回复未返回 reasoning 字段
{_esc(tc_id)}' if tc_id else ""}
（空，可能仅有 tool_calls）
' ) raw_html = "" if data.get("raw"): raw_html = f"""按步骤展示：LLM 输入 → 思考/输出 → 工具调用（含完整入参与返回）
{_render_timeline(events)}