feat(frontends,ui): opus 5.5 progress updates show in the web panel and the vault transcript

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hh committed 2026-09-22 20:36:23 +02:00
1 parent bbce425eeb
commit 13873f857b
5 files changed
+125 -72

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@@ -255,8 +255,9 @@ def _summarize_assistant_group(
) -> tuple[str, list[str], int]:
"""Compute (spoken_text, tool_skeleton, text_segment_count) for a display group.
Must mirror ``parser.parse_assistant_structure``: text blocks collapse into
one segment, tool_use becomes a skeleton entry, tool_result/thinking are invisible.
Must mirror what the renderer writes and the parser reads back: text and
non-empty thinking collapse into one segment, tool_use becomes a skeleton
entry, tool_result and empty thinking are invisible.
"""
from beaver_gateway.frontends.markdown.parser import TextSegment, ToolSegment
@@ -282,12 +283,10 @@ def _summarize_assistant_group(
for blk in content:
if not isinstance(blk, dict):
continue
btype = blk.get("type")
if btype == "text":
text = str(blk.get("text", "")).strip()
if text:
pending.append(text)
elif btype == "tool_use":
text = _spoken(blk)
if text:
pending.append(text)
elif blk.get("type") == "tool_use":
_flush()
segments.append(ToolSegment(name=str(blk.get("name", ""))))
_flush()
@@ -440,11 +439,16 @@ def _splice_assistant_group(
return _splice_by_rebuild(stored_group=stored_group, incoming=incoming)
def _is_text_block(blk: object) -> bool:
def _spoken(blk: object) -> str:
if not isinstance(blk, dict):
return False
return ""
block = cast("dict[str, Any]", blk)
return block.get("type") == "text" and bool(str(block.get("text", "")).strip())
kind = block.get("type")
if kind == "text":
return str(block.get("text", "")).strip()
if kind == "thinking":
return str(block.get("thinking", "")).strip()
return ""
def _splice_in_place(
@@ -454,7 +458,8 @@ def _splice_in_place(
Preserves message/thinking-block boundaries that a rebuild would lose
(and that a cache-hit continuation depends on); returns ``None`` if
text blocks aren't 1:1 with incoming segments, so the caller rebuilds instead.
text blocks aren't 1:1 with incoming segments or the prose runs through
signed thinking blocks, so the caller rebuilds instead.
"""
from beaver_gateway.frontends.markdown.parser import TextSegment
@@ -466,9 +471,12 @@ def _splice_in_place(
content = msg.get("content")
if msg["role"] != "assistant" or not isinstance(content, list):
continue
positions.extend(
(mi, bi) for bi, blk in enumerate(content) if _is_text_block(blk)
)
for bi, blk in enumerate(cast("list[dict[str, Any]]", content)):
if not _spoken(blk):
continue
if blk["type"] == "thinking":
return None
positions.append((mi, bi))
if len(positions) != len(new_texts):
return None
@@ -1,7 +1,7 @@
"""Render Anthropic ``Message`` (and user turns) into markdown.
One-way: produces the human-facing artifact only. The parser strips
tool/thinking callouts separately when reshaping history for backend replay.
the tool/thinking callouts of older files when reshaping history for replay.
"""
from __future__ import annotations
@@ -12,8 +12,6 @@ from typing import TYPE_CHECKING, Any, cast
from anthropic.types import Message, TextBlock, ThinkingBlock
if TYPE_CHECKING:
from collections.abc import Iterable
from anthropic.types import MessageParam
@@ -48,21 +46,14 @@ def render_assistant_text(text: str) -> str:
def render_assistant_message(message: Message) -> str:
"""Render an assistant ``Message`` into a turn block.
Tool-use blocks render to nothing; of the thinking blocks between two
texts only the first one reaches the file.
Tool-use blocks and empty thinking render to nothing; a non-empty thinking
block is what the model wrote between tool calls and renders as text.
"""
parts: list[str] = ["### Assistant:", ""]
after_thinking = False
for block in message.content:
thinking = isinstance(block, ThinkingBlock)
if thinking and after_thinking:
continue
lines = list(_render_block(block))
if not lines:
continue
after_thinking = thinking
parts.extend(lines)
parts.append("")
text = _spoken(block)
if text:
parts.extend((text, ""))
return "\n".join(parts).rstrip() + "\n"
@@ -108,21 +99,12 @@ def summarize_tool_input(name: str, tool_input: object) -> str:
return name
def _render_block(block: object) -> Iterable[str]:
def _spoken(block: object) -> str:
if isinstance(block, TextBlock):
text = (block.text or "").strip()
if text:
yield text
return
return (block.text or "").strip()
if isinstance(block, ThinkingBlock):
yield from _render_thinking(block.thinking or "")
return
def _render_thinking(text: str) -> Iterable[str]:
yield "> [!thinking]-"
for line in text.strip().splitlines() or [""]:
yield f"> {line}" if line else ">"
return (block.thinking or "").strip()
return ""
def adaptive_fence(content: str) -> str: