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When the LLM response carries N parallel tool calls, the agent fires N tool.started events back-to-back before its interrupt check runs. A user sending /stop mid-batch would see the '⚡ Interrupting current task' ack followed by a trail of 🔍 web_search bubbles for the remaining events in the batch — making the interrupt feel ignored. progress_callback and the drain loop in send_progress_messages now check agent.is_interrupted (via agent_holder[0], the existing cross-scope handle). Events that arrive after interrupt are dropped at both the queueing and rendering stages. The '⚡ Interrupting' message is sent through a separate adapter path and is unaffected. |
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| .. | ||
| builtin_hooks | ||
| platforms | ||
| __init__.py | ||
| channel_directory.py | ||
| config.py | ||
| delivery.py | ||
| display_config.py | ||
| hooks.py | ||
| mirror.py | ||
| pairing.py | ||
| restart.py | ||
| run.py | ||
| session.py | ||
| session_context.py | ||
| status.py | ||
| sticker_cache.py | ||
| stream_consumer.py | ||
| whatsapp_identity.py | ||