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fix(ai-client): prevent continuation stall when multiple client tools complete in the same round #303
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fix(ai-client): prevent continuation stall when multiple client tools complete in the same round #303
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| '@tanstack/ai-client': patch | ||
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| fix: prevent client tool continuation stall when multiple tools complete in the same round | ||
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| When an LLM response triggers multiple client-side tool calls simultaneously, the chat would permanently stall after all tools completed. This was caused by nested `drainPostStreamActions` calls stealing queued continuation checks from the outer drain. Added a re-entrancy guard on `drainPostStreamActions` and a `tool-result` type check in `checkForContinuation` to prevent both the structural and semantic causes of the stall. |
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π§© Analysis chain
π Script executed:
Repository: TanStack/ai
Length of output: 50368
π Script executed:
Repository: TanStack/ai
Length of output: 8083
Regression in approval flow: guard at line 647 causes premature exit.
The guard
if (lastPart?.type !== 'tool-result')returns early beforeshouldAutoSend()/areAllToolsComplete()can be called. In theaddToolApprovalResponse()path, the last part remains type'tool-call'with state'approval-responded', not'tool-result'. Even thoughareAllToolsComplete()correctly returnstruefor approval-responded tools, the guard prevents that check from being reached, stalling the approval flow.The guard should either be removed from
checkForContinuation()itself and moved into theaddToolResultqueueing lambda (line 482) where it's contextually correct, or it should be extended to also allow the'approval-responded'state when the tool has no approval attached.π€ Prompt for AI Agents