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[BUG] An error occurred (ValidationException) when calling the Converse operation: messages.4.content: Conversation blocks and tool result blocks cannot be provided in the same turn #1223

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[BUG] An error occurred (ValidationException) when calling the Converse operation: messages.4.content: Conversation blocks and tool result blocks cannot be provided in the same turn#1223
Bug
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area-modelRelated to models or model providersarea-toolTool behavior/apibugSomething isn't workingpythonPull requests that update python code

Description

@azaylamba
azaylamba
opened on Nov 21, 2025

Checks

  • I have updated to the lastest minor and patch version of Strands
  • I have checked the documentation and this is not expected behavior
  • I have searched ./issues and there are no duplicates of my issue

Strands Version

1.14.0

Python Version

3.13.5

Operating System

macOS

Installation Method

pip

Steps to Reproduce

  1. Use models like llama4-maverick-17b-instruct-v1:0
  2. Add some tools to the agent and use structured output
  3. Try to execute the agentic workflow where tool invocation is required
  4. Do multiple conversations so that previous messages are sent in the second conversation.

Expected Behavior

The agent should run without any error and tool execution should be successful.

Actual Behavior

The agent run fails with the exception An error occurred (ValidationException) when calling the Converse operation: messages.4.content: Conversation blocks and tool result blocks cannot be provided in the same turn.

Additional Context

return self.agent(enhanced_instruction) ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^ File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/agent/agent.py", line 427, in __call__ return run_async( lambda: self.invoke_async( prompt, invocation_state=invocation_state, structured_output_model=structured_output_model, **kwargs ) ) File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/_async.py", line 31, in run_async return future.result() ~~~~~~~~~~~~~^^ File "/opt/homebrew/Cellar/python@3.13/3.13.5/Frameworks/Python.framework/Versions/3.13/lib/python3.13/concurrent/futures/_base.py", line 456, in result return self.__get_result() ~~~~~~~~~~~~~~~~~^^ File "/opt/homebrew/Cellar/python@3.13/3.13.5/Frameworks/Python.framework/Versions/3.13/lib/python3.13/concurrent/futures/_base.py", line 401, in __get_result raise self._exception File "/opt/homebrew/Cellar/python@3.13/3.13.5/Frameworks/Python.framework/Versions/3.13/lib/python3.13/concurrent/futures/thread.py", line 59, in run result = self.fn(*self.args, **self.kwargs) File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/opentelemetry/instrumentation/threading/__init__.py", line 171, in wrapped_func return original_func(*func_args, **func_kwargs) File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/_async.py", line 27, in execute return asyncio.run(execute_async()) ~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.5/Frameworks/Python.framework/Versions/3.13/lib/python3.13/asyncio/runners.py", line 195, in run return runner.run(main) ~~~~~~~~~~^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.5/Frameworks/Python.framework/Versions/3.13/lib/python3.13/asyncio/runners.py", line 118, in run return self._loop.run_until_complete(task) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.5/Frameworks/Python.framework/Versions/3.13/lib/python3.13/asyncio/base_events.py", line 725, in run_until_complete return future.result() ~~~~~~~~~~~~~^^ File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/_async.py", line 24, in execute_async return await async_func() ^^^^^^^^^^^^^^^^^^ File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/agent/agent.py", line 470, in invoke_async async for event in events: _ = event File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/agent/agent.py", line 666, in stream_async async for event in events: ...<5 lines>... yield as_dict File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/agent/agent.py", line 746, in _run_loop async for event in events: ...<13 lines>... yield event File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/agent/agent.py", line 794, in _execute_event_loop_cycle async for event in events: yield event File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/event_loop/event_loop.py", line 152, in event_loop_cycle async for model_event in model_events: if not isinstance(model_event, ModelStopReason): yield model_event File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/event_loop/event_loop.py", line 391, in _handle_model_execution raise e File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/event_loop/event_loop.py", line 337, in _handle_model_execution async for event in stream_messages( ...<2 lines>... yield event File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/event_loop/streaming.py", line 441, in stream_messages async for event in process_stream(chunks, start_time): yield event File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/event_loop/streaming.py", line 388, in process_stream async for chunk in chunks: ...<22 lines>... handle_redact_content(chunk["redactContent"], state) File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/models/bedrock.py", line 633, in stream await task File "/opt/homebrew/Cellar/python@3.13/3.13.5/Frameworks/Python.framework/Versions/3.13/lib/python3.13/asyncio/threads.py", line 25, in to_thread return await loop.run_in_executor(None, func_call) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.5/Frameworks/Python.framework/Versions/3.13/lib/python3.13/concurrent/futures/thread.py", line 59, in run result = self.fn(*self.args, **self.kwargs) File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/opentelemetry/instrumentation/threading/__init__.py", line 171, in wrapped_func return original_func(*func_args, **func_kwargs) File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/models/bedrock.py", line 754, in _stream raise e File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/strands/models/bedrock.py", line 703, in _stream response = self.client.converse(**request) File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/botocore/client.py", line 602, in _api_call return self._make_api_call(operation_name, kwargs) ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/botocore/context.py", line 123, in wrapper return func(*args, **kwargs) File "/Users/ajay.kumar/Documents/Github/agentic/.venv/lib/python3.13/site-packages/botocore/client.py", line 1078, in _make_api_call raise error_class(parsed_response, operation_name) botocore.errorfactory.ValidationException: An error occurred (ValidationException) when calling the Converse operation: messages.4.content: Conversation blocks and tool result blocks cannot be provided in the same turn. └ Bedrock region: us-east-1 └ Model id: us.meta.llama4-maverick-17b-instruct-v1:0

Possible Solution

No response

Related Issues

No response

Activity

  1. azaylamba
    added
    bugSomething isn't working
    on Nov 21, 2025

  2. azaylamba commented on Nov 23, 2025

    @azaylamba
    azaylamba
    on Nov 23, 2025
    Author

    Below is the integration test to reproduce the issue. The issue is replicable with models other than Anthropic models.

    Comprehensive integration tests for structured output passed into the agent functionality.
"""

from pydantic import BaseModel, Field

from strands import Agent
from strands.models.bedrock import BedrockModel
from strands.tools import tool

class MathResult(BaseModel):
    """Math operation result."""

    operation: str = Field(description="the performed operation")
    result: int = Field(description="the result of the operation")


# ========== Tool Definitions ==========


@tool
def calculator(operation: str, a: float, b: float) -> float:
    """Simple calculator tool for testing."""
    if operation == "add":
        return a + b
    elif operation == "subtract":
        return a - b
    elif operation == "multiply":
        return a * b
    elif operation == "divide":
        return b / a if a != 0 else 0
    elif operation == "power":
        return a**b
    else:
        return 0


# ========== Test Classes ==========


class TestBedrockLlamaModelsToolUsageWithStructuredOutput:
    """Test structured output with tool usage."""

    def test_multi_turn_calculator_tool_use_with_structured_output(self):
        """Test tool usage with structured output."""
        model = BedrockModel(
            model_id="us.meta.llama4-maverick-17b-instruct-v1:0",
            region_name="us-east-1",
            max_tokens=2048,
            streaming=False
        )
        agent = Agent(
            model=model, 
            tools=[calculator]
            )

        result = agent("Calculate 2 + 2 using the calculator tool", structured_output_model=MathResult)

        assert result.structured_output is not None
        assert isinstance(result.structured_output, MathResult)
        assert result.structured_output.result == 4
        # Check that tool was called
        assert result.metrics.tool_metrics is not None
        assert len(result.metrics.tool_metrics) > 0
        result = agent("What is 5 multiplied by 3? Use the calculator tool.", 
                       structured_output_model=MathResult)
        assert result.structured_output is not None

  3. azaylamba commented on Nov 23, 2025

    @azaylamba
    azaylamba
    on Nov 23, 2025
    Author

    @dbschmigelski Could you please have a look at this one and suggest any workarounds if any? This issue not limited to Llama models.

  4. azaylamba commented on Nov 23, 2025

    @azaylamba
    azaylamba
    on Nov 23, 2025
    Author

    This issue occurs only in case of using structured_ouput_model.

  5. dbschmigelski commented on Nov 24, 2025

    @dbschmigelski
    dbschmigelski
    on Nov 24, 2025
    Contributor

    Hi, @azaylamba I was able to reproduce this. Thanks for raising this.

    I am going to engage with the Bedrock team first. This appears like Bedrock is providing an inconsistent interface. I would rather see if we can have this fixed centrally, for all frameworks, rather than just in Strands. I will let keep this thread up to date with those conversations.

  6. azaylamba commented on Nov 25, 2025

    @azaylamba
    azaylamba
    on Nov 25, 2025
    Author

    Hi @dbschmigelski, thanks for the update. There is another similar issue #1241 which again is not occurring for Anthropic models but occurring for other providers on bedrock.

  7. azaylamba commented on Dec 3, 2025

    @azaylamba
    azaylamba
    on Dec 3, 2025
    Author

    Hi @dbschmigelski Did you get a chance to discuss this further internally?

  8. dbschmigelski commented on Dec 9, 2025

    @dbschmigelski
    dbschmigelski
    on Dec 9, 2025
    Contributor

    Hi, sorry for the delay. We've been busy with a lot of Re:Invent launches: Bidirectional streaming, typescript sdk, evals, and steering.

    I reached out to Bedrock and they are aware of the issue and working on issues like this one. In the meantime though we will need to patch over it ourselves. I am going to make some changes to your PR though.

    The majority of models DO support this behavior; Mistral, Llama. So what I want to avoid is impacting the Sliding Window conversation management by inserting messages when we don't need to - even if the token usage is not impacted.

    What I believe strands is missing is a config strategy for inter and intra provider specific logic.

  9. dbschmigelski commented on Dec 9, 2025

    @dbschmigelski
    dbschmigelski
    on Dec 9, 2025
    Contributor

    I am going to start #780, which will unblock this.

  10. dbschmigelski
    marked this as blocked on Dec 9, 2025

  11. azaylamba commented on Dec 10, 2025

    @azaylamba
    azaylamba
    on Dec 10, 2025
    Author

    Thanks for the update @dbschmigelski

  12. dbschmigelski commented on Jan 6, 2026

    @dbschmigelski
    dbschmigelski
    on Jan 6, 2026
    Contributor

    Hi sorry for the delay on this. We are going through our issue queue now and are trying to find capacity for a slim version of #780 to address this Bedrock edge case.

  13. yonib05
    added
    area-modelRelated to models or model providers
    area-contextSession or context related
    pythonPull requests that update python code
    on May 27, 2026
  14. yonib05
    added
    area-toolTool behavior/api
    and removed
    area-contextSession or context related
    on Jun 9, 2026

  15. chaynabors commented on Jun 24, 2026

    @chaynabors
    chaynabors
    on Jun 24, 2026
    Contributor

    Closing in favor of #780

  16. chaynabors
    closed this as a duplicateof [FEATURE] Model Specific Feature Mechanism #780 on Jun 24, 2026
  17. yonib05
    set
    Language
    to
    Python
    on Jul 10, 2026
  18. yonib05
    added the
    Bug
    issue type on Jul 10, 2026
  19. JackYPCOnline
    added a commit that references this issue on Oct 20, 2026

    docs(designs): Make 0022 self-contained

    8e42bc0
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