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微信（FkWeChat 插件）：长按消息分析意图 / 情绪 / 回复姿态，只在本机弹提示，对方无感知
- Forks
- 8
- Last pushed
- Updated Oct 2026
Repo stats from the GitHub API, cached Oct 2026.
CommunityJev Tools & CLIs
JevIntent
Chat-host plugin that turns a long press on a message into judgments for intent, emotion, urgency and reply posture, with a per-conversation relationship that changes how the answer reads.
- Stars
- 67
- Language
- Java
- License
- MIT
- Published by
- Community
- Author
- Nisaka520
- Last verified
- Oct 2026
Used inJev for Software & DevTools
- Languages
- Java
Highlights
- One request carrying seven typed questions returns intent, emotion, urgency and reply posture as probability distributions.
- Relationship is set per conversation, so the same sentence reads as affection with a partner and as sarcasm at work.
- The default mode only shows local toasts; the model never writes reply wording and nothing is posted into the conversation.
- Prefetching on long press, connection reuse and a 40-entry result cache hide the round trip behind the menu.
Watch out
Judged on a hosted service behind your own API key, not locally, so message content leaves the phone. Installing it means an LSPosed-style module host and copying files into the chat app's plugin directory. Two of the result modes post a real message that the other person can see; the default is local toasts only. Settings are a letter-coded properties file because the host exposes a toast and no other UI primitive, and relationship and gender are per conversation. Expect a 250-330 ms server floor with roughly 3% of requests spiking to 1.5-1.8 s, and note that asking fewer questions does not make it faster. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
It only reads. A long press sends that message plus recent context and the relationship you set to the decision service; by default nothing is written back, and the model produces no reply prose. Two optional result modes do send a real message, which the README flags as risky.
This plugin needs a module host: FkWeChat installed with plugin support turned on, then main.java and info.prop copied into the chat app's plugin directory, plus your own API key written into a properties file. Enable and reload from the plugin manager or restart the app, and a toast confirms it loaded. For phones where you cannot or do not want to hook the chat app, the README points at a separate accessibility-based sibling project with a narrower view of the screen.
You are waiting on the network. The README measures the server at 250-330 ms and cold connection setup at 830-873 ms, then hides the wait by prefetching at long press, reusing connections and caching 40 results. A measured first tap dropped from 1144 ms to 9 ms, but spikes still happen.
No, it is one of the inputs. The README shows the same sentence read as high happiness with a partner and as sarcasm with a colleague, and argues that surrounding context flips the posture more often than the relationship label does.
Mode A, the default, only shows local toasts so the other person sees nothing. Modes B and C post the result into the conversation as a real quoted reply or a direct message, which the other person can see.
After the first long press the plugin writes a settings properties file next to main.java; change the letter after an option, for example the emotion count to C, and save. It takes effect on the next long press without a reload, and a wrong letter falls back to the first option.
It sends up to seven sentences of context on each side, settable. Measured time to first byte was 283 to 314 ms for three questions versus 291 to 295 ms for all seven, so asking fewer questions does not make it meaningfully faster.
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