- Fix YAML parsing to capture interval:/prompt: before breaking
- Record task timestamps AFTER successful execution (not before)
- Initialize task state on first run (handle undefined session)
- Skip API call when no tasks due (return null)
- Use startedAt consistently for due-task filtering
Fixes: #3030568439, #3033833124, #3030570872, #3030568408, #3030570872, #3035434022, #3035434368
The heartbeat task batching feature uses heartbeatTaskState to track
last run times for periodic tasks, but this property was missing
from the SessionEntry type, causing TypeScript compilation errors.
- Add parseHeartbeatTasks() to parse YAML-like task definitions
- Add isTaskDue() to check if task interval has elapsed
- Add heartbeatTaskState to session store for tracking last run times
- Modify resolveHeartbeatRunPrompt to build batched prompts for due tasks
- Update task last run times after successful heartbeat execution
Implements openclaw#29570
* fix(cron): prevent agent default model from overriding cron payload model (#58065)
When a cron job specifies a model override via the Advanced settings,
runWithModelFallback could silently fall back to the agent's configured
primary model. This happened because fallbacksOverride was undefined
when neither payload.fallbacks nor per-agent fallbacks were configured,
causing resolveFallbackCandidates to append the agent primary as a
last-resort candidate. A transient failure on the cron-selected model
(rate limit, model-not-found, etc.) would then succeed on the agent
default, making it appear as if the override was ignored entirely.
Fix: when the cron payload carries an explicit model override, ensure
fallbacksOverride is always a defined array (empty when no fallbacks
are configured) so the agent primary is never silently appended.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* test: use stricter toEqual([]) assertion for fallbacksOverride
Replace toBeDefined() + toBeInstanceOf(Array) with toEqual([])
to catch regressions where the array unexpectedly gains entries.
Addresses review feedback.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: preserve cron override fallback semantics (#58294)
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Peter Steinberger <steipete@gmail.com>
When the gateway client reconnects using a stored device token, it was
defaulting to ["operator.admin"] scopes instead of preserving the
previously authorized scopes from the stored token. This caused the
operator device token to be regenerated without operator.read scope,
breaking status/probe/health commands.
This fix:
1. Loads the stored scopes along with the stored token in selectConnectAuth
2. Uses the stored scopes when reconnecting with a valid device token
3. Falls back to explicitly requested scopes or default admin-only scope
when no stored scopes exist
Fixes#46000
- Remove redundant name === 'MiniMax-M*' condition (already matched by startsWith)
- Use !== undefined guard instead of falsy check in deriveWindowLabelFromTimestamps
- Pass chatRemains directly to deriveWindowLabel when available
- Remove JSDoc comment style to match codebase conventions
- Pick the chat model entry (MiniMax-M*) from model_remains instead of using the first BFS candidate, which could be a speech/video/image model with total_count=0.
- Derive window label from start_time/end_time timestamps when window_hours/window_minutes fields are absent; fixes the hardcoded 5h default for 4h windows.
- Include model name in plan label so users can distinguish free-tier coding-plan quota from paid API balance.
Closes#52335
* fix(google-cli): restore gemini json reporting
* fix(google-cli): fall back to stats when usage is empty
* fix(changelog): note gemini cli cache reporting
MiniMax M2.7 returns reasoning_content in OpenAI-style delta chunks
({delta: {content: "", reasoning_content: "..."}}) when thinking is
active, rather than native Anthropic thinking block SSE events. Pi-ai's
Anthropic provider does not handle this format, causing the model's
internal reasoning to appear as visible chat output.
Add createMinimaxThinkingDisabledWrapper that injects
thinking: {type: "disabled"} into the outgoing payload for any MiniMax
anthropic-messages request where thinking is not already explicitly
configured, preventing the provider from generating reasoning_content
deltas during streaming.
Fixes#55739
The VLM image analysis fetch had no timeout, causing sessions to hang
indefinitely when the MiniMax API is slow or unresponsive. Other
vision/model API calls in the codebase already use timeouts. Adds
AbortSignal.timeout(60_000) consistent with image upload workloads.
Fixes#54139
