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with_structured_output() schemas inside of a tool are being binded to an agent that uses that tool #849

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opened 2026-02-20 17:42:03 -05:00 by yindo · 1 comment
yindo commented 2026-02-20 17:42:03 -05:00
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Originally created by @roombawulf on GitHub (Jul 25, 2025).

Checked other resources

  • This is a bug, not a usage question. For questions, please use the LangChain Forum (https://forum.langchain.com/).
  • I added a clear and detailed title that summarizes the issue.
  • I read what a minimal reproducible example is (https://stackoverflow.com/help/minimal-reproducible-example).
  • I included a self-contained, minimal example that demonstrates the issue INCLUDING all the relevant imports. The code run AS IS to reproduce the issue.

Example Code

import asyncio
import os
from typing import List

from dotenv import find_dotenv, load_dotenv
from langchain_core.tools import tool
from langchain_google_genai import ChatGoogleGenerativeAI
from langgraph.prebuilt import create_react_agent
from pydantic import BaseModel, Field

# Load environment variables
load_dotenv(find_dotenv())


class SimpleSchema(BaseModel):
    """Simple Pydantic schema that should NOT become a tool."""
    items: List[str] = Field(description="List of items")
    count: int = Field(description="Number of items")


def create_agent_model():
    """Create a Gemini model instance for the React agent."""
    return ChatGoogleGenerativeAI(
        model="gemini-2.5-flash",
        temperature=0
    )


def create_tool_model():
    """Create a separate Gemini model instance for the tool."""
    return ChatGoogleGenerativeAI(
        model="gemini-2.5-flash",
        temperature=0
    )


@tool
async def simple_tool(query: str) -> dict:
    """A simple tool that uses structured output internally."""

    # This model uses with_structured_output with a Pydantic schema
    model = create_tool_model()

    structured_model = model.with_structured_output(SimpleSchema)

    prompt = f"Generate a simple list based on this query: {query}"

    try:
        result = await structured_model.ainvoke(prompt)
        return result.model_dump()
    except Exception as e:
        return {"error": str(e), "items": [], "count": 0}


async def main():
    """Main function to demonstrate the issue."""

    print("=== LangGraph Schema Leakage Reproduction ===\n")

    # Create the React agent with our separate model
    agent_model = create_agent_model()
    agent = create_react_agent(
        model=agent_model,
        tools=[simple_tool],
        prompt="You are a helpful assistant. Use the available tools to help the user."
    )

    # Test input that should only use our tool
    test_input = {
        "messages": [
            {
                "role": "user",
                "content": "Use the simple_tool to generate a list of fruits"
            }
        ]
    }

    print("Input:", test_input["messages"][0]["content"])

    messages = []
    async for token,metadata in agent.astream(test_input, stream_mode="messages"):
        if token.additional_kwargs.get("function_call"):
            print(token.additional_kwargs["function_call"], end="\n\n")
        messages.append(token)

    ## prints
    # Input: Use the simple_tool to generate a list of fruits
    # {'name': 'simple_tool', 'arguments': '{"query": "list of fruits"}'}
    # {'name': 'SimpleSchema', 'arguments': '{"items": ["apple", "banana", "orange"], "count": 3.0}'}

    print("\n=== Attempting Second Call (This Should Fail) ===\n")

    # Try to continue the conversation - this will fail due to missing ToolMessage
    second_input = {
        "messages": messages + [
            {
                "role": "user",
                "content": "Great! Now can you help me with something else?"
            }
        ]
    }

    try:
        async for token,metadata in agent.astream(second_input, stream_mode="messages"):
            print(f"Token: {token}")
    except Exception as e:
        print(e)

if __name__ == "__main__":
    asyncio.run(main())

Error Message and Stack Trace (if applicable)

Found AIMessages with tool_calls that do not have a corresponding ToolMessage. Here are the first few of those tool calls: [{'name': 'SimpleSchema', 'args': {'count': 3.0, 'items': ['apple', 'banana', 'orange']}, 'id': '67211d93-98f2-4c6d-94f2-3962911d09d6', 'type': 'tool_call'}].

Every tool call (LLM requesting to call a tool) in the message history MUST have a corresponding ToolMessage (result of a tool invocation to return to the LLM) - this is required by most LLM providers.

Description

After updating from LangGraph 0.4.8 to 0.5.2 (to solve this issue) we started experiencing an issue where create_react_agent() with tools that internally call another model using with_structured_output() results in those schemas being binded to the agent. Breaking the conversation flow.

Expected Behavior

  • Only explicitly defined tools (decorated with @tool) should be available to the React agent
  • models used internally within tools with with_structured_output() should remain internal implementation details
  • We expect the schema tool call to not surface to the agent

Actual Behavior

  • model invokes that use with_structured_output() are exposed
  • Agent reports using both legitimate tools and schemas: ['simple_tool', 'SimpleSchema']
  • This breaks the LLM conversation because it expects each tool call to have a corresponding tool message- Results in `ValueError: Found AIMessages with tool_calls that do not have a corresponding ToolMessage

System Info

System Information

OS: Darwin
OS Version: Darwin Kernel Version 24.5.0: Tue Apr 22 19:54:29 PDT 2025; root:xnu-11417.121.6~2/RELEASE_ARM64_T6030
Python Version: 3.12.0 (main, Jun 10 2025, 10:49:31) [Clang 16.0.0 (clang-1600.0.26.6)]

Package Information

langchain_core: 0.3.65
langchain: 0.3.25
langchain_community: 0.3.25
langsmith: 0.3.45
langchain_anthropic: 0.3.14
langchain_chroma: 0.2.3
langchain_google_genai: 2.1.5
langchain_google_vertexai: 2.0.25
langchain_mcp_adapters: 0.1.7
langchain_openai: 0.3.22
langchain_tavily: 0.2.1
langchain_text_splitters: 0.3.8
langchainhub: 0.1.21
langgraph_api: 0.2.48
langgraph_cli: 0.2.12
langgraph_license: Installed. No version info available.
langgraph_runtime: Installed. No version info available.
langgraph_runtime_inmem: 0.2.1
langgraph_sdk: 0.1.70
langgraph_supervisor: 0.0.27

Optional packages not installed

langserve

Other Dependencies

aiohttp: 3.12.12
aiohttp<4.0.0,>=3.8.3: Installed. No version info available.
anthropic<1,>=0.52.0: Installed. No version info available.
anthropic[vertexai]: Installed. No version info available.
async-timeout<5.0.0,>=4.0.0;: Installed. No version info available.
blockbuster<2.0.0,>=1.5.24: Installed. No version info available.
bottleneck: 1.5.0
chromadb!=0.5.10,!=0.5.11,!=0.5.12,!=0.5.4,!=0.5.5,!=0.5.7,!=0.5.9,<0.7.0,>=0.4.0: Installed. No version info available.
click>=8.1.7: Installed. No version info available.
cloudpickle>=3.0.0: Installed. No version info available.
cryptography<45.0,>=42.0.0: Installed. No version info available.
dataclasses-json<0.7,>=0.5.7: Installed. No version info available.
filetype: 1.2.0
google-ai-generativelanguage: 0.6.18
google-cloud-aiplatform: 1.97.0
google-cloud-storage: 2.19.0
httpx: 0.28.1
httpx-sse: 0.4.0
httpx-sse<1.0.0,>=0.4.0: Installed. No version info available.
httpx>=0.25.0: Installed. No version info available.
httpx>=0.25.2: Installed. No version info available.
jsonpatch<2.0,>=1.33: Installed. No version info available.
jsonschema-rs<0.30,>=0.20.0: Installed. No version info available.
langchain-anthropic;: Installed. No version info available.
langchain-aws;: Installed. No version info available.
langchain-azure-ai;: Installed. No version info available.
langchain-cohere;: Installed. No version info available.
langchain-community;: Installed. No version info available.
langchain-core<0.4,>=0.3.36: Installed. No version info available.
langchain-core<1.0.0,>=0.3.51: Installed. No version info available.
langchain-core<1.0.0,>=0.3.58: Installed. No version info available.
langchain-core<1.0.0,>=0.3.62: Installed. No version info available.
langchain-core<1.0.0,>=0.3.64: Installed. No version info available.
langchain-core<1.0.0,>=0.3.65: Installed. No version info available.
langchain-core>=0.3.40: Installed. No version info available.
langchain-core>=0.3.52: Installed. No version info available.
langchain-core>=0.3.64: Installed. No version info available.
langchain-deepseek;: Installed. No version info available.
langchain-fireworks;: Installed. No version info available.
langchain-google-genai;: Installed. No version info available.
langchain-google-vertexai;: Installed. No version info available.
langchain-groq;: Installed. No version info available.
langchain-huggingface;: Installed. No version info available.
langchain-mistralai: Installed. No version info available.
langchain-mistralai;: Installed. No version info available.
langchain-ollama;: Installed. No version info available.
langchain-openai;: Installed. No version info available.
langchain-perplexity;: Installed. No version info available.
langchain-text-splitters<1.0.0,>=0.3.8: Installed. No version info available.
langchain-together;: Installed. No version info available.
langchain-xai;: Installed. No version info available.
langchain<1.0.0,>=0.3.25: Installed. No version info available.
langgraph-api>=0.1.20;: Installed. No version info available.
langgraph-checkpoint>=2.0.23: Installed. No version info available.
langgraph-checkpoint>=2.0.25: Installed. No version info available.
langgraph-prebuilt>=0.1.7: Installed. No version info available.
langgraph-runtime-inmem<0.3,>=0.2.0: Installed. No version info available.
langgraph-runtime-inmem>=0.0.8;: Installed. No version info available.
langgraph-sdk>=0.1.0;: Installed. No version info available.
langgraph-sdk>=0.1.66: Installed. No version info available.
langgraph>=0.2: Installed. No version info available.
langgraph>=0.3.27: Installed. No version info available.
langgraph>=0.3.5: Installed. No version info available.
langsmith-pyo3: Installed. No version info available.
langsmith<0.4,>=0.1.125: Installed. No version info available.
langsmith<0.4,>=0.1.17: Installed. No version info available.
langsmith<0.4,>=0.3.45: Installed. No version info available.
langsmith>=0.3.45: Installed. No version info available.
mcp>=1.9.2: Installed. No version info available.
mypy: 1.16.0
numexpr: 2.11.0
numpy>=1.26.0;: Installed. No version info available.
numpy>=1.26.2;: Installed. No version info available.
numpy>=2.1.0;: Installed. No version info available.
openai-agents: Installed. No version info available.
openai<2.0.0,>=1.68.2: Installed. No version info available.
opentelemetry-api: 1.34.1
opentelemetry-exporter-otlp-proto-http: Installed. No version info available.
opentelemetry-sdk: 1.34.1
orjson: 3.10.18
orjson>=3.10.1: Installed. No version info available.
orjson>=3.9.7: Installed. No version info available.
packaging: 24.2
packaging<25,>=23.2: Installed. No version info available.
pyarrow: 19.0.1
pydantic: 2.11.5
pydantic-settings<3.0.0,>=2.4.0: Installed. No version info available.
pydantic<3.0.0,>=2.7.4: Installed. No version info available.
pydantic>=2.7.4: Installed. No version info available.
pyjwt>=2.9.0: Installed. No version info available.
pytest: 8.4.0
python-dotenv>=0.8.0;: Installed. No version info available.
PyYAML>=5.3: Installed. No version info available.
requests: 2.32.4
requests-toolbelt: 1.0.0
requests<3,>=2: Installed. No version info available.
rich: 14.0.0
SQLAlchemy<3,>=1.4: Installed. No version info available.
sse-starlette<2.2.0,>=2.1.0: Installed. No version info available.
sse-starlette>=2: Installed. No version info available.
starlette>=0.37: Installed. No version info available.
starlette>=0.38.6: Installed. No version info available.
structlog<26,>=24.1.0: Installed. No version info available.
structlog>23: Installed. No version info available.
tenacity!=8.4.0,<10,>=8.1.0: Installed. No version info available.
tenacity!=8.4.0,<10.0.0,>=8.1.0: Installed. No version info available.
tenacity>=8.0.0: Installed. No version info available.
tiktoken<1,>=0.7: Installed. No version info available.
truststore>=0.1: Installed. No version info available.
types-requests: 2.32.0.20250515
typing-extensions>=4.7: Installed. No version info available.
uvicorn>=0.26.0: Installed. No version info available.
validators: 0.35.0
watchfiles>=0.13: Installed. No version info available.
zstandard: 0.23.0

Originally created by @roombawulf on GitHub (Jul 25, 2025). ### Checked other resources - [x] This is a bug, not a usage question. For questions, please use the LangChain Forum (https://forum.langchain.com/). - [x] I added a clear and detailed title that summarizes the issue. - [x] I read what a minimal reproducible example is (https://stackoverflow.com/help/minimal-reproducible-example). - [x] I included a self-contained, minimal example that demonstrates the issue INCLUDING all the relevant imports. The code run AS IS to reproduce the issue. ### Example Code ```python import asyncio import os from typing import List from dotenv import find_dotenv, load_dotenv from langchain_core.tools import tool from langchain_google_genai import ChatGoogleGenerativeAI from langgraph.prebuilt import create_react_agent from pydantic import BaseModel, Field # Load environment variables load_dotenv(find_dotenv()) class SimpleSchema(BaseModel): """Simple Pydantic schema that should NOT become a tool.""" items: List[str] = Field(description="List of items") count: int = Field(description="Number of items") def create_agent_model(): """Create a Gemini model instance for the React agent.""" return ChatGoogleGenerativeAI( model="gemini-2.5-flash", temperature=0 ) def create_tool_model(): """Create a separate Gemini model instance for the tool.""" return ChatGoogleGenerativeAI( model="gemini-2.5-flash", temperature=0 ) @tool async def simple_tool(query: str) -> dict: """A simple tool that uses structured output internally.""" # This model uses with_structured_output with a Pydantic schema model = create_tool_model() structured_model = model.with_structured_output(SimpleSchema) prompt = f"Generate a simple list based on this query: {query}" try: result = await structured_model.ainvoke(prompt) return result.model_dump() except Exception as e: return {"error": str(e), "items": [], "count": 0} async def main(): """Main function to demonstrate the issue.""" print("=== LangGraph Schema Leakage Reproduction ===\n") # Create the React agent with our separate model agent_model = create_agent_model() agent = create_react_agent( model=agent_model, tools=[simple_tool], prompt="You are a helpful assistant. Use the available tools to help the user." ) # Test input that should only use our tool test_input = { "messages": [ { "role": "user", "content": "Use the simple_tool to generate a list of fruits" } ] } print("Input:", test_input["messages"][0]["content"]) messages = [] async for token,metadata in agent.astream(test_input, stream_mode="messages"): if token.additional_kwargs.get("function_call"): print(token.additional_kwargs["function_call"], end="\n\n") messages.append(token) ## prints # Input: Use the simple_tool to generate a list of fruits # {'name': 'simple_tool', 'arguments': '{"query": "list of fruits"}'} # {'name': 'SimpleSchema', 'arguments': '{"items": ["apple", "banana", "orange"], "count": 3.0}'} print("\n=== Attempting Second Call (This Should Fail) ===\n") # Try to continue the conversation - this will fail due to missing ToolMessage second_input = { "messages": messages + [ { "role": "user", "content": "Great! Now can you help me with something else?" } ] } try: async for token,metadata in agent.astream(second_input, stream_mode="messages"): print(f"Token: {token}") except Exception as e: print(e) if __name__ == "__main__": asyncio.run(main()) ``` ### Error Message and Stack Trace (if applicable) ```shell Found AIMessages with tool_calls that do not have a corresponding ToolMessage. Here are the first few of those tool calls: [{'name': 'SimpleSchema', 'args': {'count': 3.0, 'items': ['apple', 'banana', 'orange']}, 'id': '67211d93-98f2-4c6d-94f2-3962911d09d6', 'type': 'tool_call'}]. Every tool call (LLM requesting to call a tool) in the message history MUST have a corresponding ToolMessage (result of a tool invocation to return to the LLM) - this is required by most LLM providers. ``` ### Description After updating from LangGraph 0.4.8 to 0.5.2 [(to solve this issue)](https://github.com/langchain-ai/langgraph/issues/4996) we started experiencing an issue where `create_react_agent()` with tools that internally call another model using `with_structured_output()` results in those schemas being binded to the agent. Breaking the conversation flow. ### Expected Behavior - Only explicitly defined tools (decorated with `@tool`) should be available to the React agent - models used internally within tools with `with_structured_output()` should remain internal implementation details - We expect the schema tool call to not surface to the agent ### Actual Behavior - model invokes that use `with_structured_output()` are exposed - Agent reports using both legitimate tools and schemas: `['simple_tool', 'SimpleSchema']` - This breaks the LLM conversation because it expects each tool call to have a corresponding tool message- Results in `ValueError: Found AIMessages with tool_calls that do not have a corresponding ToolMessage ### System Info System Information ------------------ > OS: Darwin > OS Version: Darwin Kernel Version 24.5.0: Tue Apr 22 19:54:29 PDT 2025; root:xnu-11417.121.6~2/RELEASE_ARM64_T6030 > Python Version: 3.12.0 (main, Jun 10 2025, 10:49:31) [Clang 16.0.0 (clang-1600.0.26.6)] Package Information ------------------- > langchain_core: 0.3.65 > langchain: 0.3.25 > langchain_community: 0.3.25 > langsmith: 0.3.45 > langchain_anthropic: 0.3.14 > langchain_chroma: 0.2.3 > langchain_google_genai: 2.1.5 > langchain_google_vertexai: 2.0.25 > langchain_mcp_adapters: 0.1.7 > langchain_openai: 0.3.22 > langchain_tavily: 0.2.1 > langchain_text_splitters: 0.3.8 > langchainhub: 0.1.21 > langgraph_api: 0.2.48 > langgraph_cli: 0.2.12 > langgraph_license: Installed. No version info available. > langgraph_runtime: Installed. No version info available. > langgraph_runtime_inmem: 0.2.1 > langgraph_sdk: 0.1.70 > langgraph_supervisor: 0.0.27 Optional packages not installed ------------------------------- > langserve Other Dependencies ------------------ > aiohttp: 3.12.12 > aiohttp<4.0.0,>=3.8.3: Installed. No version info available. > anthropic<1,>=0.52.0: Installed. No version info available. > anthropic[vertexai]: Installed. No version info available. > async-timeout<5.0.0,>=4.0.0;: Installed. No version info available. > blockbuster<2.0.0,>=1.5.24: Installed. No version info available. > bottleneck: 1.5.0 > chromadb!=0.5.10,!=0.5.11,!=0.5.12,!=0.5.4,!=0.5.5,!=0.5.7,!=0.5.9,<0.7.0,>=0.4.0: Installed. No version info available. > click>=8.1.7: Installed. No version info available. > cloudpickle>=3.0.0: Installed. No version info available. > cryptography<45.0,>=42.0.0: Installed. No version info available. > dataclasses-json<0.7,>=0.5.7: Installed. No version info available. > filetype: 1.2.0 > google-ai-generativelanguage: 0.6.18 > google-cloud-aiplatform: 1.97.0 > google-cloud-storage: 2.19.0 > httpx: 0.28.1 > httpx-sse: 0.4.0 > httpx-sse<1.0.0,>=0.4.0: Installed. No version info available. > httpx>=0.25.0: Installed. No version info available. > httpx>=0.25.2: Installed. No version info available. > jsonpatch<2.0,>=1.33: Installed. No version info available. > jsonschema-rs<0.30,>=0.20.0: Installed. No version info available. > langchain-anthropic;: Installed. No version info available. > langchain-aws;: Installed. No version info available. > langchain-azure-ai;: Installed. No version info available. > langchain-cohere;: Installed. No version info available. > langchain-community;: Installed. No version info available. > langchain-core<0.4,>=0.3.36: Installed. No version info available. > langchain-core<1.0.0,>=0.3.51: Installed. No version info available. > langchain-core<1.0.0,>=0.3.58: Installed. No version info available. > langchain-core<1.0.0,>=0.3.62: Installed. No version info available. > langchain-core<1.0.0,>=0.3.64: Installed. No version info available. > langchain-core<1.0.0,>=0.3.65: Installed. No version info available. > langchain-core>=0.3.40: Installed. No version info available. > langchain-core>=0.3.52: Installed. No version info available. > langchain-core>=0.3.64: Installed. No version info available. > langchain-deepseek;: Installed. No version info available. > langchain-fireworks;: Installed. No version info available. > langchain-google-genai;: Installed. No version info available. > langchain-google-vertexai;: Installed. No version info available. > langchain-groq;: Installed. No version info available. > langchain-huggingface;: Installed. No version info available. > langchain-mistralai: Installed. No version info available. > langchain-mistralai;: Installed. No version info available. > langchain-ollama;: Installed. No version info available. > langchain-openai;: Installed. No version info available. > langchain-perplexity;: Installed. No version info available. > langchain-text-splitters<1.0.0,>=0.3.8: Installed. No version info available. > langchain-together;: Installed. No version info available. > langchain-xai;: Installed. No version info available. > langchain<1.0.0,>=0.3.25: Installed. No version info available. > langgraph-api>=0.1.20;: Installed. No version info available. > langgraph-checkpoint>=2.0.23: Installed. No version info available. > langgraph-checkpoint>=2.0.25: Installed. No version info available. > langgraph-prebuilt>=0.1.7: Installed. No version info available. > langgraph-runtime-inmem<0.3,>=0.2.0: Installed. No version info available. > langgraph-runtime-inmem>=0.0.8;: Installed. No version info available. > langgraph-sdk>=0.1.0;: Installed. No version info available. > langgraph-sdk>=0.1.66: Installed. No version info available. > langgraph>=0.2: Installed. No version info available. > langgraph>=0.3.27: Installed. No version info available. > langgraph>=0.3.5: Installed. No version info available. > langsmith-pyo3: Installed. No version info available. > langsmith<0.4,>=0.1.125: Installed. No version info available. > langsmith<0.4,>=0.1.17: Installed. No version info available. > langsmith<0.4,>=0.3.45: Installed. No version info available. > langsmith>=0.3.45: Installed. No version info available. > mcp>=1.9.2: Installed. No version info available. > mypy: 1.16.0 > numexpr: 2.11.0 > numpy>=1.26.0;: Installed. No version info available. > numpy>=1.26.2;: Installed. No version info available. > numpy>=2.1.0;: Installed. No version info available. > openai-agents: Installed. No version info available. > openai<2.0.0,>=1.68.2: Installed. No version info available. > opentelemetry-api: 1.34.1 > opentelemetry-exporter-otlp-proto-http: Installed. No version info available. > opentelemetry-sdk: 1.34.1 > orjson: 3.10.18 > orjson>=3.10.1: Installed. No version info available. > orjson>=3.9.7: Installed. No version info available. > packaging: 24.2 > packaging<25,>=23.2: Installed. No version info available. > pyarrow: 19.0.1 > pydantic: 2.11.5 > pydantic-settings<3.0.0,>=2.4.0: Installed. No version info available. > pydantic<3.0.0,>=2.7.4: Installed. No version info available. > pydantic>=2.7.4: Installed. No version info available. > pyjwt>=2.9.0: Installed. No version info available. > pytest: 8.4.0 > python-dotenv>=0.8.0;: Installed. No version info available. > PyYAML>=5.3: Installed. No version info available. > requests: 2.32.4 > requests-toolbelt: 1.0.0 > requests<3,>=2: Installed. No version info available. > rich: 14.0.0 > SQLAlchemy<3,>=1.4: Installed. No version info available. > sse-starlette<2.2.0,>=2.1.0: Installed. No version info available. > sse-starlette>=2: Installed. No version info available. > starlette>=0.37: Installed. No version info available. > starlette>=0.38.6: Installed. No version info available. > structlog<26,>=24.1.0: Installed. No version info available. > structlog>23: Installed. No version info available. > tenacity!=8.4.0,<10,>=8.1.0: Installed. No version info available. > tenacity!=8.4.0,<10.0.0,>=8.1.0: Installed. No version info available. > tenacity>=8.0.0: Installed. No version info available. > tiktoken<1,>=0.7: Installed. No version info available. > truststore>=0.1: Installed. No version info available. > types-requests: 2.32.0.20250515 > typing-extensions>=4.7: Installed. No version info available. > uvicorn>=0.26.0: Installed. No version info available. > validators: 0.35.0 > watchfiles>=0.13: Installed. No version info available. > zstandard: 0.23.0
yindo added the bugpending labels 2026-02-20 17:42:03 -05:00
yindo closed this issue 2026-02-20 17:42:03 -05:00
yindo commented 2026-02-20 17:42:04 -05:00
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@sydney-runkle commented on GitHub (Nov 7, 2025):

Hiya, thanks for the report. Indeed, this structured output logic was flawed.

We've refined this in our new create_agent primitive in LC v1, it should no longer be an issue.

@sydney-runkle commented on GitHub (Nov 7, 2025): Hiya, thanks for the report. Indeed, this structured output logic was flawed. We've refined this in our new `create_agent` primitive in LC v1, it should no longer be an issue.
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Reference: langchain-ai/langgraph#849
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