Concurrency Issue

Status: Closed · Asked by kunj gupta on · 0 views

kunj gupta — Question ·

I'm facing a concurrency issue in Pabbly Chatflow and wanted to know if there's a recommended solution.


Scenario: A workflow is triggered whenever a user sends a message. Users often split a single thought into multiple messages (e.g., "Hi" → "I need a PC" → "Under ₹1 lakh" → "For editing").


  • I already buffer and concatenate these messages within a 1-minute window before sending them to a single AI message block.

However, the problem is that the first message immediately starts a workflow execution, and any subsequent messages trigger additional parallel executions. Since each execution maintains its own state, updates made by one workflow are not visible to the others, resulting in inconsistent conversation context and duplicate processing.


Is there any built-in way in Pabbly Chatflow to:

  • - Prevent parallel workflow executions for the same conversation/user?
  • - Lock or serialize workflow execution on a per-conversation basis?
  • - Queue incoming messages while an existing workflow is still running?
  • - Maintain a shared conversation state across concurrent executions?


If not, what is the recommended architecture or best practice for handling this scenario in Pabbly?


Pabbly Support — Reply ·

Hello Kunj,

Thank you for reaching out to us.

To better understand your use case and suggest the most appropriate approach for optimizing the workflow, could you please share the details of the flows you have already created?

Additionally, kindly provide:

  • The email address associated with your Pabbly Chatflow account.

  • Screenshots or a screen recording of the flow(s) you have configured.

  • A brief overview of how the messages are currently being buffered and concatenated before reaching the AI block.

Once we review the existing flow structure, we'll be in a much better position to understand the execution behavior and suggest the best way to handle the scenario you're describing.

We look forward to your response.



On Jul 6, 2026, 7:02 AM, kunj gupta <[email protected]> wrote:

I'm facing a concurrency issue in Pabbly Chatflow and wanted to know if there's a recommended solution.


Scenario: A workflow is triggered whenever a user sends a message. Users often split a single thought into multiple messages (e.g., "Hi" → "I need a PC" → "Under ₹1 lakh" → "For editing").


  • I already buffer and concatenate these messages within a 1-minute window before sending them to a single AI message block.

However, the problem is that the first message immediately starts a workflow execution, and any subsequent messages trigger additional parallel executions. Since each execution maintains its own state, updates made by one workflow are not visible to the others, resulting in inconsistent conversation context and duplicate processing.


Is there any built-in way in Pabbly Chatflow to:

  • - Prevent parallel workflow executions for the same conversation/user?
  • - Lock or serialize workflow execution on a per-conversation basis?
  • - Queue incoming messages while an existing workflow is still running?
  • - Maintain a shared conversation state across concurrent executions?


If not, what is the recommended architecture or best practice for handling this scenario in Pabbly?



Thanks and Regards,
Preeti Paryani
Customer Success Associate,
Pabbly.com
Pabbly Support — Reply ·

Hello Kunj,

I hope you're doing well.

We wanted to follow up regarding your query about handling concurrent workflow executions in Pabbly Chatflow.

Could you please share the requested details, including:

  • The email address associated with your Pabbly Chatflow account.

  • Screenshots or a screen recording of the flow(s) you have configured.

  • A brief overview of how you are currently buffering and concatenating messages before passing them to the AI block.

Once we have these details, we'll be able to review your setup and suggest the most suitable approach for your use case.

We look forward to your response.

Thanks and Regards,
Preeti Paryani
Customer Success Associate,
Pabbly.com

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