Agentic run with dynamic filtering (web_search_20260209 inside code_execution) rejected with "code_execution tool use ... without a corresponding code_execution_tool_result block

from __future__ import annotations

import os
from collections.abc import Sequence
from dotenv import load_dotenv
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_anthropic import ChatAnthropic
from langchain.agents import create_agent

load_dotenv()
# Official upgrade / Cloud Exchange documentation root (search is constrained to this host).
ALLOWED_DOMAIN = ""  # some domain for web-search to traverse

# Built-in Anthropic web search tool (passed through to the API unchanged by ChatAnthropic).
# See: https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/web-search-tool
WEB_SEARCH_TOOL: dict = {
    "type": "web_search_20260209",
    "name": "web_search",
    "max_uses": 5,
    "allowed_domains": [ALLOWED_DOMAIN],
}

SYSTEM_PROMPT = """"""  # system prompt for the agent to when to go and hit the web search.


def build_agent():
    if not os.environ.get("ANTHROPIC_API_KEY"):
        raise RuntimeError("Set ANTHROPIC_API_KEY in your environment.")

    llm = ChatAnthropic(
        model=os.environ.get("ANTHROPIC_MODEL", "claude-sonnet-5"),
    )

    return create_agent(
        llm,
        tools=[WEB_SEARCH_TOOL],
        system_prompt=SYSTEM_PROMPT,
        debug=True,
        
    )

def _message_visible_text(message: BaseMessage) -> str:
    """Plain text parts only (skips tool_use, web_search_tool_result, encrypted blocks, etc.)."""
    content = message.content
    if isinstance(content, str):
        return content
    if not isinstance(content, list):
        return ""
    parts: list[str] = []
    for block in content:
        if isinstance(block, dict) and block.get("type") == "text":
            t = block.get("text")
            if isinstance(t, str):
                parts.append(t)
    return "".join(parts)


def _final_assistant_answer(messages: Sequence[BaseMessage]) -> str:
    for m in reversed(messages):
        if isinstance(m, AIMessage):
            text = _message_visible_text(m)
            if text.strip():
                return text
    return ""


if __name__ == "__main__":
    query = "some nested web search request"
    agent = build_agent()
    result = agent.invoke({"messages": [HumanMessage(content=query)]})
    messages = result["messages"]
    for m in messages:
        m.pretty_print()
    answer = _final_assistant_answer(messages)
    print(answer)

While using the web-search with dynamic filtering enabled from anthropic I'm facing below mentioned error:
code_execution` tool use with id `srvtoolu_015m5Yth4v9NRFzSXkaY1dCA` was found without a corresponding `code_execution_tool_result` block


Full traceback:
Traceback (most recent call last):
  File "<path>/utils/llm_invoke.py", line 994, in invoke_agent_with_tracking
    async for event in graph.astream_events(
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 1658, in _astream_events_v1_v2
    async for event in event_stream:
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/tracers/event_stream.py", line 1105, in _astream_events_implementation_v2
    await task
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/tracers/event_stream.py", line 1060, in consume_astream
    async for _ in event_streamer.tap_output_aiter(run_id, stream):
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/tracers/event_stream.py", line 224, in tap_output_aiter
    async for chunk in output:
  File "/opt/venv/lib/python3.12/site-packages/langgraph/pregel/main.py", line 3440, in astream
    async for _ in runner.atick(
  File "/opt/venv/lib/python3.12/site-packages/langgraph/pregel/_runner.py", line 396, in atick
    await arun_with_retry(
  File "/opt/venv/lib/python3.12/site-packages/langgraph/pregel/_retry.py", line 741, in arun_with_retry
    async for _ in task.proc.astream(task.input, config):
  File "/opt/venv/lib/python3.12/site-packages/langgraph/_internal/_runnable.py", line 867, in astream
    output = await asyncio.create_task(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langgraph/_internal/_runnable.py", line 932, in _consume_aiter
    async for chunk in it:
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/tracers/event_stream.py", line 201, in tap_output_aiter
    first = await anext(output, sentinel)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 1818, in atransform
    async for ichunk in input:
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 1818, in atransform
    async for ichunk in input:
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 1222, in astream
    yield await self.ainvoke(input, config, **kwargs)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langgraph/_internal/_runnable.py", line 501, in ainvoke
    ret = await self.afunc(*args, **kwargs)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain/agents/factory.py", line 1498, in amodel_node
    result = await awrap_model_call_handler(request, _execute_model_async)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain/agents/factory.py", line 402, in composed
    outer_result = await outer(request, inner_handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<path>/utils/llm_invoke.py", line 123, in awrap_model_call
    return await handler(self._apply(request))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain/agents/factory.py", line 392, in inner_handler
    inner_result = await inner(req, handler)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain/agents/middleware/model_retry.py", line 291, in awrap_model_call
    return self._handle_failure(exc, attempts_made)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain/agents/middleware/model_retry.py", line 204, in _handle_failure
    raise exc
  File "/opt/venv/lib/python3.12/site-packages/langchain/agents/middleware/model_retry.py", line 284, in awrap_model_call
    return await handler(request)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain/agents/factory.py", line 1467, in _execute_model_async
    output = await model_.ainvoke(messages)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 6015, in ainvoke
    return await self.bound.ainvoke(
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 499, in ainvoke
    llm_result = await self.agenerate_prompt(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1860, in agenerate_prompt
    return await self.agenerate(
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1818, in agenerate
    raise exceptions[0]
  File "/opt/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 2151, in _agenerate_with_cache
    result = await self._agenerate(
             ^^^^^^^^^^^^^^^^^^^^^^
  File "<some-other-path>/lib/langchain_anthropic/chat_models.py", line 1984, in _agenerate
    _handle_anthropic_bad_request(e)
  File "<some-other-path>/lib/langchain_anthropic/chat_models.py", line 1982, in _agenerate
    data = await self._acreate(payload)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<some-other-path>/lib/langchain_anthropic/chat_models.py", line 1603, in _acreate
    return await self._async_client.messages.create(**payload)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<some-other-path>/lib/anthropic/resources/messages/messages.py", line 2545, in create
    return await self._post(
           ^^^^^^^^^^^^^^^^^
  File "<some-other-path>/lib/anthropic/_base_client.py", line 2276, in post
    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<some-other-path>/lib/anthropic/_base_client.py", line 1941, in request
    raise self._make_status_error_from_response(response) from None
anthropic.BadRequestError: Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'messages.1: `code_execution` tool use with id `srvtoolu_015m5Yth4v9NRFzSXkaY1dCA` was found without a corresponding `code_execution_tool_result` block'}, 'request_id': 'req_011CfLKWqV8XDxQ8xWLzZioT'}
During task with name 'model' and id '3428ad98-a3a8-040a-aaf2-d05e0f31f8ad'