Need help preventing base LLM response after tool call while still allowing subsequent tool calls

[vikashatsupahuman]

Hi team,

I’m working on a scenario using the Vercel AI SDK v5 where tool calls send results directly into a message queue.

In this setup, I don’t want the base LLM to always generate an additional response — I want more fine-grained control over whether the LLM processes the tool’s result or not.

Current behavior

I experimented with aborting the streaming once the tool call finishes. While this prevents the base LLM from adding extra messages to the queue, it also stops subsequent tool calls from being executed, which breaks cases where multiple tool calls are needed.

Goal

I’d like to support a flow where each tool call result can explicitly decide whether the base LLM should respond. For this, I’m returning a result object that contains both the message and a flag ignoreMessage.

• If ignoreMessage: true:

  • The tool’s output (already written to the message queue) should not be passed back to the LLM.
  • The LLM should not generate any additional response.

• If ignoreMessage: false:

  • The tool’s output should be passed to the LLM.
  • The LLM should then generate a response as usual.

• In both cases:

  • Subsequent tool calls should still be allowed to execute if required.

Example use case

Suppose I have a tool that generates a joke.

1. Case 1: Tool handles everything itself

   • The tool directly adds the joke into the message queue.

   • It then returns:

     {
       "message": "Request Processed",
       "ignoreMessage": true
     }

   • In this case, I don’t want the LLM to generate a new joke on its own, since the tool has already fulfilled the request.

2. Case 2: Tool relies on LLM for final response

   • The tool returns:

     {
       "message": "Here is a joke for you: Why did the scarecrow win the award? Because he was outstanding.",
       "ignoreMessage": false
     }

   • In this case, the LLM should process the result and provide a response to the user.

Question

Is there a recommended approach or SDK feature in Vercel AI SDK v5 that would allow me to:

• Suppress the base LLM’s response when ignoreMessage is true,
• Still allow the LLM to process the tool’s message when ignoreMessage is false,
• And ensure subsequent tool calls are not blocked?

Thanks in advance for your guidance!

[github-actions[bot]]

This discussion was automatically locked because it has not been updated in over 30 days. If you still have questions about this topic, please ask us at community.vercel.com/ai-sdk