When content is structured JSON (interactive cards, post messages),
injectPathTags now skips the fallback append — only placeholder
replacement is attempted. This prevents corrupting JSON payloads
like {"schema":"2.0",...} with appended [image:/path] tags.
Adds looksLikeJSON() helper and three test cases covering JSON
objects, arrays, and an end-to-end resolveMediaRefs scenario with
Feishu card content.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Different channels emit different placeholder formats — Telegram/Feishu
use [image: photo], WeCom/WeChat/Line use bare [image], QQ/Discord use
[image: <filename>]. The previous string-match code only handled
[image: photo], so for the other channels the path tag was appended as
a duplicate, producing content like "[image] [image:/path]".
Switch to per-type regex that matches all generic placeholder shapes
while leaving path tags ([image:/path]) untouched. Also fixes the same
issue for [audio], [video], [file] tags. Added test coverage for the
various placeholder shapes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The test was checking ForLLM for the media:// ref, but load_image now
emits the generic [image: photo] placeholder instead.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Move synthetic user message (carrying base64 tool images) to after the
entire contiguous tool-message block instead of immediately after each
tool message. This preserves the assistant→tool→tool ordering required
by OpenAI-compatible APIs.
Also fix load_image to use generic [image: photo] placeholder so
injectPathTags can properly replace it with the actual path.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Channel-received images (role=user) now get path tags only, letting
the LLM decide whether to view via load_image or just operate on
the file. Tool result images (role=tool, e.g. load_image) are
base64-encoded into a synthetic user message appended after the tool
message, since many LLM APIs don't support image_url in tool messages.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Images are still base64-encoded into msg.Media for multimodal LLMs,
but now also get [image:path] tags injected into message content so
the LLM knows the local file path for save/forward operations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add Image.Get API fallback when MessageResource.Get fails (different
permission scope: im:resource vs im:message:readonly)
- Extract and download images from post (rich text) messages
- Extract images from interactive card messages
- Deduplicate post image keys across locales
- Add comprehensive tests for new helpers
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(tools): add cross-platform serial hardware tool
* feat(config): wire serial tool into runtime and dashboard
* hardware/serial: tighten validation and error handling
* hardware/serial: improve unix cancellation and timeout polling
* hardware/serial: improve windows I/O handling
* hardware/serial: fix darwin cross-compilation build
* docs(design): summarize hardware support and serial limits
* build: keep go generate on host during cross builds
* onboard: drop unrelated go generate change from serial work
* style(tools): wrap serial lines for golines
* refactor(pico): unify message kind handling of tool_calls and thought
* fix(pico): add legacy compatibility for thought payload in Send method
Co-authored-by: Copilot <copilot@github.com>
---------
Co-authored-by: Copilot <copilot@github.com>
Two-phase strategy: 7 days inactive → stale warning, 7 more days → close.
Exempt labels: pinned, keep-open, wip, do-not-close, type: roadmap.
Draft PRs are also exempt. Runs daily at 03:00 JST.
Scan oldest items first (ascending: true) with 500 ops budget to avoid
backlog starvation.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
