Exercise multi-user commits, attribution failures, model retries, deduplication, and eligibility gates with a deterministic fake model. Move the real-model experiment to an opt-in live test task.
Add cache-expiry profile maintenance and contextual injection, reorganize runtime code by responsibility, remove automatic favorability decay, and prepare version 1.15.0.
Replace the unavailable weather endpoint with QWeather location, forecast, minutely precipitation, and alert APIs. Add configurable JWT credentials, automatic alert lookup, setup documentation, and bump the plugin to 1.13.0.
When the bot is muted in a group it cannot send replies, so process
nothing: short-circuit in onMessage before any trigger/LLM work using
Group.botMuteRemaining.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Vision and reasoning requests reused the chat model's 10s first-chunk
timeout, but both legitimately need longer before the first chunk:
vision must download the image server-side first, and reasoning has a
thinking warmup. Logs showed frequent TimeoutCancellationException at
10s/15s for imageRecognition and reasoning.
Add separate visualFirstChunkTimeout (120s) and reasoningFirstChunkTimeout
(90s) config, and raise each service's socket timeout to at least its
first-chunk budget so the socket layer doesn't sever the connection
before the first-chunk timeout can apply. Chat endpoints are unchanged.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Configure a list of fallback chat endpoints (chatFallbacks); each blank
field inherits the primary, so you can swap just the API key, just the
model, or the whole vendor. On LLM streaming failure the retry loop
advances to the next endpoint, and a failed endpoint enters a cooldown
(fallbackCooldownMinutes) so a dead primary is skipped instead of
wasting a timeout on every message.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Capture DeepSeek's prompt_cache_hit_tokens (dropped before by the
openai-kotlin Usage parser) via a raw-JSON extractor in ModelService,
and persist it plus the group name on each daily record.
Collapse the six /jgpt tokens* subcommands into a single /jgpt tokens
dashboard showing cache-hit rate, input/output split, daily trend and
top users/groups. Groups are shown by name only, never by group id.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Consecutive messages from the same sender are collapsed under one
name+time header to save context, with follow-ups rendered as bare
"└" continuation lines. When a sender resumed minutes later, the
follow-up still inherited the original timestamp, so the model judged a
just-sent message as having happened long ago and skipped replying.
Track the previous record time and re-print the timestamp on a
continuation line once the gap exceeds CONTINUATION_TIME_GAP_SECONDS
(60s). Short bursts stay timeless to keep context lean.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
member.active.temperature relies on OneBot pulling group honor data,
which throws "Error code: 2" when the upstream is busy/unavailable. That
access sat outside the existing title try/catch, so a failure propagated
through getSystemPrompt -> onMessage and aborted the entire reply.
Wrap the active.temperature access in its own try/catch and degrade
gracefully (omit the lv segment) instead of breaking the whole turn.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
jie65535
