Add ImageLimits type and plumb optional limits through the chain:
callMCPTool/callMCPToolWithUrlElicitationRetry -> processMCPResult ->
transformMCPResult -> transformResultContent -> maybeResizeAndDownsampleImageBuffer.
When provided, limits override the module-level defaults
(IMAGE_TARGET_RAW_SIZE, IMAGE_MAX_WIDTH, IMAGE_MAX_HEIGHT,
API_IMAGE_MAX_BASE64_SIZE) inside maybeResizeAndDownsampleImageBuffer.
When undefined, behavior is unchanged for current callers.
Add _meta preservation in the text-block case of transformResultContent
(only when the caller opts in via includeMeta=true). transformMCPResult
passes includeMeta=true on the tool-result path; the prompt-handler call
site keeps the default false, preserving prior behavior.
Add skipLargeOutput early-return in processMCPResult after the IDE check:
when the caller passes skipLargeOutput=true and the content has no images,
the function returns content directly without large-output handling.
Add unwrap-to-text in processMCPResult for the persisted-content path:
when the large-string format gate is enabled
(MCP_TRUNCATION_PROMPT_OVERRIDE env var, or
tengu_mcp_subagent_prompt Statsig gate), and the content is a single
bare text block (no annotations, no _meta), unwrap to raw text and
switch the format description to 'Plain text'. Default-off; gate-off
behavior is unchanged.
Verified structurally against the 2.1.128 binary: function signatures,
the IDE check, gate logic, _meta-unwrap pattern, and imageLimits
plumbing match this implementation.
The buildDiffableContent and buildPrevDiffableContent fields were closures
capturing full system prompt and tool schema arrays (~300KB each). With 10
map entries × 2 closures, this held ~6MB of GC-unreachable memory.
Since recordPromptState already serializes the same data for hashing,
pre-computing the diffable content string has negligible marginal cost.
- Help General 页添加 3 步 Getting started 引导,替代单段描述
- 权限对话框底部 "Esc to cancel" → "Esc to reject","Tab to amend" → "Tab to add feedback"
- .claude/ 文件夹权限选项标签从 60 字符缩至 49 字符,避免窄终端截断
- 新增 10 个测试覆盖权限提示文案和帮助页引导内容
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
bun update -g 只更新到 package.json 版本范围内的最新版,无法跨版本升级。
改为 bun install -g @latest 与 npm 侧行为一致,强制拉取最新发布版。
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
DeepSeek v4 in thinking mode sometimes returns reasoning_content: ""
when the model answers directly without internal reasoning. Two places
were filtering the empty string out, which dropped the thinking block
from the assistant turn entirely. The next request then omitted
reasoning_content for that prior turn, and DeepSeek rejected with
400 "reasoning_content ... must be passed back to the API".
Fix:
- openaiStreamAdapter: open a thinking block whenever reasoning_content
is present (including ""); skip the empty thinking_delta event since
the empty value is already conveyed by the block's initial state.
- openaiConvertMessages: preserve empty thinking blocks as
reasoning_content: "" when serializing assistant messages back to
the OpenAI/DeepSeek format.
Tests:
- New: empty reasoning_content opens a thinking block (adapter).
- Updated: empty thinking blocks now round-trip as reasoning_content: ""
instead of being dropped.
- New: assistant messages with no thinking block still omit
reasoning_content (regression guard for non-thinking models).