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LangGraph CLI treats InjectedState as required tool parameter and fails the validation #1001

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opened 2026-02-20 17:42:41 -05:00 by yindo · 3 comments
yindo commented 2026-02-20 17:42:41 -05:00
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Originally created by @codeonym on GitHub (Oct 6, 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

from typing import Any, List, Annotated, Optional

from langchain.chat_models import init_chat_model
from typing_extensions import Literal
from langchain_core.messages import SystemMessage, BaseMessage
from langchain_core.runnables import RunnableConfig
from langchain.tools import tool
from langgraph.graph import StateGraph, END
from langgraph.types import Command
from langgraph.graph import MessagesState
from langgraph.prebuilt import ToolNode, InjectedState
from langgraph.checkpoint.memory import MemorySaver

class AgentState(MessagesState):
    proverbs: Optional[List[str]] = []
    tools: Optional[List[Any]]


@tool
def get_weather(location: str):
    """
    Get the weather for a given location.
    """
    return f"The weather for {location} is 70 degrees."

@tool
def get_jokes(theme: str, state: Annotated[AgentState, InjectedState] = None): # <- change to dict to avoid validation erro
    """Fetch a list of jokes."""

    return """
    Ok here are the jokes:
    1. Why don't scientists trust atoms? Because they make up everything!
    2. Why did the scarecrow win an award? Because he was outstanding in his field!
    3. Why don't skeletons fight each other? They don't have the guts.
    4. What do you call fake spaghetti? An impasta!
    5. Why did the bicycle fall over? Because it was two-tired!
    6. What do you call cheese that isn't yours? Nacho cheese!
    7. Why did the math book look sad? Because it had too many problems.
    8. Why can't your nose be 12 inches long? Because then it would be a foot!
    9. What do you call a bear with no teeth? A gummy bear!
    """

tools = [
    get_weather,
    get_jokes
    # your_tool_here
]

def chat_node(state: AgentState, config: RunnableConfig) -> Command[Literal["tool_node", "__end__"]]:

    # 1. Define the model
    model = init_chat_model("google_genai:gemini-2.0-flash")

    # 2. Bind the tools to the model
    model_with_tools = model.bind_tools(
        [
            *state.get("tools", []), # bind tools defined by ag-ui
            get_weather,
            get_jokes,
            # your_tool_here
        ],
        parallel_tool_calls=False,
    )

    # 3. Define the system message by which the chat model will be run
    p_ct = f"""
    You are a helpful assistant you can do the following:
    1. read proverbs
    2. add/remove/update proverbs
    3. fetch weather for a given location
    4. fetch jokes for the user
    
    here is a the current proverbs list:
    {state.get('proverbs', [])}
    
    be helpful and concise.
    """
    system_message = SystemMessage(
        content=p_ct
    )

    # 4. Run the model to generate a response
    response = model_with_tools.invoke([
        system_message,
        *state["messages"],
    ], config)

    if route_to_tool_node(response):
        # 4.1 If there are tool calls in the response, route to the tool node to handle them.
        return Command(
            goto="tool_node",
            update={
                "messages": response
            }
        )

    # 5. We've handled all tool calls, so we can end the graph.
    return Command(
        goto=END,
        update={
            "messages": response
        }
    )

tools_names = [tool_.name for tool_ in tools]
def route_to_tool_node(response: BaseMessage):
    """
    Route to tool node if any tool call in the response matches a backend tool name.
    """
    tool_calls = getattr(response, "tool_calls", None)
    if not tool_calls:
        return False
    for tool_call in tool_calls:
        if tool_call.get("name") in tools_names:
            return True
    return False


# Define the workflow graph
workflow = StateGraph(AgentState)
workflow.add_node("chat_node", chat_node)
workflow.add_node("tool_node", ToolNode(tools=tools))
workflow.add_edge("tool_node", "chat_node")
workflow.set_entry_point("chat_node")

graph = workflow.compile()

Error Message and Stack Trace (if applicable)

|-
Error: 2 validation errors for get_jokes
state.proverbs
  Field required [type=missing, input_value={'messages': [HumanMessag...': {'cache_read': 0}})]}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.11/v/missing
state.tools
  Field required [type=missing, input_value={'messages': [HumanMessag...': {'cache_read': 0}})]}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.11/v/missing
 Please fix your mistakes.

Description

Context

This error only occurs when running the graph via langgraph dev command.
The same code works correctly with FastAPI hosting.

Problem

LangGraph CLI incorrectly attempts to validate InjectedState parameters in tool schemas.
When using a typed state class (e.g., AgentState), the validation layer treats
injected state parameters as required tool arguments and fails.

Workaround

Use generic dict type instead of custom state class:

  • ❌ Before: state: Annotated[AgentState, InjectedState]
  • ✅ After: state: Annotated[dict, InjectedState]

This bypasses field-level validation while maintaining state injection functionality.

Trade-offs

  • Loss of type safety and IDE autocomplete for state fields
  • Manual type checking required when accessing state properties
  • Increased risk of runtime errors from typos or missing fields

You can view Langsmith trace here: https://smith.langchain.com/public/f774cc58-8fbe-4661-a6bf-5bab4920d392/r

System Info

ag-ui-langgraph                          0.0.15    Implementation of the AG-UI protocol for LangGraph.
ag-ui-protocol                           0.1.9     
annotated-types                          0.7.0     Reusable constraint types to use with typing.Annotated
anyio                                    4.11.0    High-level concurrency and networking framework on top of asyncio or Trio
blockbuster                              1.5.25    Utility to detect blocking calls in the async event loop
cachetools                               6.2.0     Extensible memoizing collections and decorators
certifi                                  2025.10.5 Python package for providing Mozilla's CA Bundle.
cffi                                     2.0.0     Foreign Function Interface for Python calling C code.
charset-normalizer                       3.4.3     The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet.
click                                    8.3.0     Composable command line interface toolkit
cloudpickle                              3.1.1     Pickler class to extend the standard pickle.Pickler functionality
colorama                                 0.4.6     Cross-platform colored terminal text.
copilotkit                               0.1.66    CopilotKit python SDK
cryptography                             44.0.3    cryptography is a package which provides cryptographic recipes and primitives to Python developers.
distro                                   1.9.0     Distro - an OS platform information API
fastapi                                  0.115.14  FastAPI framework, high performance, easy to learn, fast to code, ready for production
filetype                                 1.2.0     Infer file type and MIME type of any file/buffer. No external dependencies.
forbiddenfruit                           0.1.4     Patch python built-in objects
google-ai-generativelanguage             0.7.0     Google Ai Generativelanguage API client library
google-api-core                          2.25.2    Google API client core library
google-auth                              2.41.1    Google Authentication Library
googleapis-common-protos                 1.70.0    Common protobufs used in Google APIs
greenlet                                 3.2.4     Lightweight in-process concurrent programming
grpcio                                   1.75.1    HTTP/2-based RPC framework
grpcio-status                            1.75.1    Status proto mapping for gRPC
grpcio-tools                             1.75.1    Protobuf code generator for gRPC
h11                                      0.16.0    A pure-Python, bring-your-own-I/O implementation of HTTP/1.1
httpcore                                 1.0.9     A minimal low-level HTTP client.
httpx                                    0.28.1    The next generation HTTP client.
idna                                     3.10      Internationalized Domain Names in Applications (IDNA)
importlib-metadata                       8.7.0     Read metadata from Python packages
jiter                                    0.11.0    Fast iterable JSON parser.
jsonpatch                                1.33      Apply JSON-Patches (RFC 6902)
jsonpointer                              3.0.0     Identify specific nodes in a JSON document (RFC 6901)
jsonschema-rs                            0.29.1    A high-performance JSON Schema validator for Python
langchain                                0.3.27    Building applications with LLMs through composability
langchain-core                           0.3.78    Building applications with LLMs through composability
langchain-google-genai                   2.1.12    An integration package connecting Google's genai package and LangChain
langchain-openai                         0.3.34    An integration package connecting OpenAI and LangChain
langchain-text-splitters                 0.3.11    LangChain text splitting utilities
langgraph                                0.6.8     Building stateful, multi-actor applications with LLMs
langgraph-api                            0.4.35    
langgraph-checkpoint                     2.1.1     Library with base interfaces for LangGraph checkpoint savers.
langgraph-cli                            0.4.2     CLI for interacting with LangGraph API
langgraph-prebuilt                       0.6.4     Library with high-level APIs for creating and executing LangGraph agents and tools.
langgraph-runtime-inmem                  0.14.1    Inmem implementation for the LangGraph API server.
langgraph-sdk                            0.2.9     SDK for interacting with LangGraph API
langsmith                                0.4.32    Client library to connect to the LangSmith LLM Tracing and Evaluation Platform.
openai                                   2.1.0     The official Python library for the openai API
opentelemetry-api                        1.37.0    OpenTelemetry Python API
opentelemetry-exporter-otlp-proto-common 1.37.0    OpenTelemetry Protobuf encoding
opentelemetry-exporter-otlp-proto-http   1.37.0    OpenTelemetry Collector Protobuf over HTTP Exporter
opentelemetry-proto                      1.37.0    OpenTelemetry Python Proto
opentelemetry-sdk                        1.37.0    OpenTelemetry Python SDK
opentelemetry-semantic-conventions       0.58b0    OpenTelemetry Semantic Conventions
orjson                                   3.11.3    Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
ormsgpack                                1.10.0    Fast, correct Python msgpack library supporting dataclasses, datetimes, and numpy
packaging                                25.0      Core utilities for Python packages
partialjson                              0.0.8     Parse incomplete or partial json
proto-plus                               1.26.1    Beautiful, Pythonic protocol buffers
protobuf                                 6.32.1    
pyasn1                                   0.6.1     Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)
pyasn1-modules                           0.4.2     A collection of ASN.1-based protocols modules
pycparser                                2.23      C parser in Python
pydantic                                 2.11.10   Data validation using Python type hints
pydantic-core                            2.33.2    Core functionality for Pydantic validation and serialization
pyjwt                                    2.10.1    JSON Web Token implementation in Python
python-dotenv                            1.1.1     Read key-value pairs from a .env file and set them as environment variables
pyyaml                                   6.0.3     YAML parser and emitter for Python
regex                                    2025.9.18 Alternative regular expression module, to replace re.
requests                                 2.32.5    Python HTTP for Humans.
requests-toolbelt                        1.0.0     A utility belt for advanced users of python-requests
rsa                                      4.9.1     Pure-Python RSA implementation
setuptools                               80.9.0    Easily download, build, install, upgrade, and uninstall Python packages
sniffio                                  1.3.1     Sniff out which async library your code is running under
sqlalchemy                               2.0.43    Database Abstraction Library
sse-starlette                            2.1.3     SSE plugin for Starlette
starlette                                0.46.2    The little ASGI library that shines.
structlog                                25.4.0    Structured Logging for Python
tenacity                                 9.1.2     Retry code until it succeeds
tiktoken                                 0.11.0    tiktoken is a fast BPE tokeniser for use with OpenAI's models
toml                                     0.10.2    Python Library for Tom's Obvious, Minimal Language
tqdm                                     4.67.1    Fast, Extensible Progress Meter
truststore                               0.10.4    Verify certificates using native system trust stores
typing-extensions                        4.15.0    Backported and Experimental Type Hints for Python 3.9+
typing-inspection                        0.4.2     Runtime typing introspection tools
urllib3                                  2.5.0     HTTP library with thread-safe connection pooling, file post, and more.
uvicorn                                  0.29.0    The lightning-fast ASGI server.
watchfiles                               1.1.0     Simple, modern and high performance file watching and code reload in python.
xxhash                                   3.6.0     Python binding for xxHash
zipp                                     3.23.0    Backport of pathlib-compatible object wrapper for zip files
zstandard                                0.25.0    Zstandard bindings for Python
Originally created by @codeonym on GitHub (Oct 6, 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 from typing import Any, List, Annotated, Optional from langchain.chat_models import init_chat_model from typing_extensions import Literal from langchain_core.messages import SystemMessage, BaseMessage from langchain_core.runnables import RunnableConfig from langchain.tools import tool from langgraph.graph import StateGraph, END from langgraph.types import Command from langgraph.graph import MessagesState from langgraph.prebuilt import ToolNode, InjectedState from langgraph.checkpoint.memory import MemorySaver class AgentState(MessagesState): proverbs: Optional[List[str]] = [] tools: Optional[List[Any]] @tool def get_weather(location: str): """ Get the weather for a given location. """ return f"The weather for {location} is 70 degrees." @tool def get_jokes(theme: str, state: Annotated[AgentState, InjectedState] = None): # <- change to dict to avoid validation erro """Fetch a list of jokes.""" return """ Ok here are the jokes: 1. Why don't scientists trust atoms? Because they make up everything! 2. Why did the scarecrow win an award? Because he was outstanding in his field! 3. Why don't skeletons fight each other? They don't have the guts. 4. What do you call fake spaghetti? An impasta! 5. Why did the bicycle fall over? Because it was two-tired! 6. What do you call cheese that isn't yours? Nacho cheese! 7. Why did the math book look sad? Because it had too many problems. 8. Why can't your nose be 12 inches long? Because then it would be a foot! 9. What do you call a bear with no teeth? A gummy bear! """ tools = [ get_weather, get_jokes # your_tool_here ] def chat_node(state: AgentState, config: RunnableConfig) -> Command[Literal["tool_node", "__end__"]]: # 1. Define the model model = init_chat_model("google_genai:gemini-2.0-flash") # 2. Bind the tools to the model model_with_tools = model.bind_tools( [ *state.get("tools", []), # bind tools defined by ag-ui get_weather, get_jokes, # your_tool_here ], parallel_tool_calls=False, ) # 3. Define the system message by which the chat model will be run p_ct = f""" You are a helpful assistant you can do the following: 1. read proverbs 2. add/remove/update proverbs 3. fetch weather for a given location 4. fetch jokes for the user here is a the current proverbs list: {state.get('proverbs', [])} be helpful and concise. """ system_message = SystemMessage( content=p_ct ) # 4. Run the model to generate a response response = model_with_tools.invoke([ system_message, *state["messages"], ], config) if route_to_tool_node(response): # 4.1 If there are tool calls in the response, route to the tool node to handle them. return Command( goto="tool_node", update={ "messages": response } ) # 5. We've handled all tool calls, so we can end the graph. return Command( goto=END, update={ "messages": response } ) tools_names = [tool_.name for tool_ in tools] def route_to_tool_node(response: BaseMessage): """ Route to tool node if any tool call in the response matches a backend tool name. """ tool_calls = getattr(response, "tool_calls", None) if not tool_calls: return False for tool_call in tool_calls: if tool_call.get("name") in tools_names: return True return False # Define the workflow graph workflow = StateGraph(AgentState) workflow.add_node("chat_node", chat_node) workflow.add_node("tool_node", ToolNode(tools=tools)) workflow.add_edge("tool_node", "chat_node") workflow.set_entry_point("chat_node") graph = workflow.compile() ``` ### Error Message and Stack Trace (if applicable) ```shell |- Error: 2 validation errors for get_jokes state.proverbs Field required [type=missing, input_value={'messages': [HumanMessag...': {'cache_read': 0}})]}, input_type=dict] For further information visit https://errors.pydantic.dev/2.11/v/missing state.tools Field required [type=missing, input_value={'messages': [HumanMessag...': {'cache_read': 0}})]}, input_type=dict] For further information visit https://errors.pydantic.dev/2.11/v/missing Please fix your mistakes. ``` ### Description #### Context This error only occurs when running the graph via `langgraph dev` command. The same code works correctly with FastAPI hosting. #### Problem LangGraph CLI incorrectly attempts to validate `InjectedState` parameters in tool schemas. When using a typed state class (e.g., `AgentState`), the validation layer treats injected state parameters as required tool arguments and fails. #### Workaround Use generic `dict` type instead of custom state class: - ❌ Before: `state: Annotated[AgentState, InjectedState]` - ✅ After: `state: Annotated[dict, InjectedState]` This bypasses field-level validation while maintaining state injection functionality. #### Trade-offs - Loss of type safety and IDE autocomplete for state fields - Manual type checking required when accessing state properties - Increased risk of runtime errors from typos or missing fields You can view Langsmith trace here: https://smith.langchain.com/public/f774cc58-8fbe-4661-a6bf-5bab4920d392/r ### System Info ```tsv ag-ui-langgraph 0.0.15 Implementation of the AG-UI protocol for LangGraph. ag-ui-protocol 0.1.9 annotated-types 0.7.0 Reusable constraint types to use with typing.Annotated anyio 4.11.0 High-level concurrency and networking framework on top of asyncio or Trio blockbuster 1.5.25 Utility to detect blocking calls in the async event loop cachetools 6.2.0 Extensible memoizing collections and decorators certifi 2025.10.5 Python package for providing Mozilla's CA Bundle. cffi 2.0.0 Foreign Function Interface for Python calling C code. charset-normalizer 3.4.3 The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet. click 8.3.0 Composable command line interface toolkit cloudpickle 3.1.1 Pickler class to extend the standard pickle.Pickler functionality colorama 0.4.6 Cross-platform colored terminal text. copilotkit 0.1.66 CopilotKit python SDK cryptography 44.0.3 cryptography is a package which provides cryptographic recipes and primitives to Python developers. distro 1.9.0 Distro - an OS platform information API fastapi 0.115.14 FastAPI framework, high performance, easy to learn, fast to code, ready for production filetype 1.2.0 Infer file type and MIME type of any file/buffer. No external dependencies. forbiddenfruit 0.1.4 Patch python built-in objects google-ai-generativelanguage 0.7.0 Google Ai Generativelanguage API client library google-api-core 2.25.2 Google API client core library google-auth 2.41.1 Google Authentication Library googleapis-common-protos 1.70.0 Common protobufs used in Google APIs greenlet 3.2.4 Lightweight in-process concurrent programming grpcio 1.75.1 HTTP/2-based RPC framework grpcio-status 1.75.1 Status proto mapping for gRPC grpcio-tools 1.75.1 Protobuf code generator for gRPC h11 0.16.0 A pure-Python, bring-your-own-I/O implementation of HTTP/1.1 httpcore 1.0.9 A minimal low-level HTTP client. httpx 0.28.1 The next generation HTTP client. idna 3.10 Internationalized Domain Names in Applications (IDNA) importlib-metadata 8.7.0 Read metadata from Python packages jiter 0.11.0 Fast iterable JSON parser. jsonpatch 1.33 Apply JSON-Patches (RFC 6902) jsonpointer 3.0.0 Identify specific nodes in a JSON document (RFC 6901) jsonschema-rs 0.29.1 A high-performance JSON Schema validator for Python langchain 0.3.27 Building applications with LLMs through composability langchain-core 0.3.78 Building applications with LLMs through composability langchain-google-genai 2.1.12 An integration package connecting Google's genai package and LangChain langchain-openai 0.3.34 An integration package connecting OpenAI and LangChain langchain-text-splitters 0.3.11 LangChain text splitting utilities langgraph 0.6.8 Building stateful, multi-actor applications with LLMs langgraph-api 0.4.35 langgraph-checkpoint 2.1.1 Library with base interfaces for LangGraph checkpoint savers. langgraph-cli 0.4.2 CLI for interacting with LangGraph API langgraph-prebuilt 0.6.4 Library with high-level APIs for creating and executing LangGraph agents and tools. langgraph-runtime-inmem 0.14.1 Inmem implementation for the LangGraph API server. langgraph-sdk 0.2.9 SDK for interacting with LangGraph API langsmith 0.4.32 Client library to connect to the LangSmith LLM Tracing and Evaluation Platform. openai 2.1.0 The official Python library for the openai API opentelemetry-api 1.37.0 OpenTelemetry Python API opentelemetry-exporter-otlp-proto-common 1.37.0 OpenTelemetry Protobuf encoding opentelemetry-exporter-otlp-proto-http 1.37.0 OpenTelemetry Collector Protobuf over HTTP Exporter opentelemetry-proto 1.37.0 OpenTelemetry Python Proto opentelemetry-sdk 1.37.0 OpenTelemetry Python SDK opentelemetry-semantic-conventions 0.58b0 OpenTelemetry Semantic Conventions orjson 3.11.3 Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy ormsgpack 1.10.0 Fast, correct Python msgpack library supporting dataclasses, datetimes, and numpy packaging 25.0 Core utilities for Python packages partialjson 0.0.8 Parse incomplete or partial json proto-plus 1.26.1 Beautiful, Pythonic protocol buffers protobuf 6.32.1 pyasn1 0.6.1 Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208) pyasn1-modules 0.4.2 A collection of ASN.1-based protocols modules pycparser 2.23 C parser in Python pydantic 2.11.10 Data validation using Python type hints pydantic-core 2.33.2 Core functionality for Pydantic validation and serialization pyjwt 2.10.1 JSON Web Token implementation in Python python-dotenv 1.1.1 Read key-value pairs from a .env file and set them as environment variables pyyaml 6.0.3 YAML parser and emitter for Python regex 2025.9.18 Alternative regular expression module, to replace re. requests 2.32.5 Python HTTP for Humans. requests-toolbelt 1.0.0 A utility belt for advanced users of python-requests rsa 4.9.1 Pure-Python RSA implementation setuptools 80.9.0 Easily download, build, install, upgrade, and uninstall Python packages sniffio 1.3.1 Sniff out which async library your code is running under sqlalchemy 2.0.43 Database Abstraction Library sse-starlette 2.1.3 SSE plugin for Starlette starlette 0.46.2 The little ASGI library that shines. structlog 25.4.0 Structured Logging for Python tenacity 9.1.2 Retry code until it succeeds tiktoken 0.11.0 tiktoken is a fast BPE tokeniser for use with OpenAI's models toml 0.10.2 Python Library for Tom's Obvious, Minimal Language tqdm 4.67.1 Fast, Extensible Progress Meter truststore 0.10.4 Verify certificates using native system trust stores typing-extensions 4.15.0 Backported and Experimental Type Hints for Python 3.9+ typing-inspection 0.4.2 Runtime typing introspection tools urllib3 2.5.0 HTTP library with thread-safe connection pooling, file post, and more. uvicorn 0.29.0 The lightning-fast ASGI server. watchfiles 1.1.0 Simple, modern and high performance file watching and code reload in python. xxhash 3.6.0 Python binding for xxHash zipp 3.23.0 Backport of pathlib-compatible object wrapper for zip files zstandard 0.25.0 Zstandard bindings for Python ```
yindo added the bugpending labels 2026-02-20 17:42:41 -05:00
yindo closed this issue 2026-02-20 17:42:41 -05:00
yindo commented 2026-02-20 17:42:41 -05:00
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@keenborder786 commented on GitHub (Oct 7, 2025):

The problem is with langraph_api and how the server is starting: /Users/mohtashim/langgraph/libs/cli/langgraph_cli/__main__.py

@keenborder786 commented on GitHub (Oct 7, 2025): The problem is with `langraph_api` and how the server is starting: /Users/mohtashim/langgraph/libs/cli/langgraph_cli/__main__.py
yindo commented 2026-02-20 17:42:41 -05:00
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@codeonym commented on GitHub (Oct 8, 2025):

The problem is with langraph_api and how the server is starting: /Users/mohtashim/langgraph/libs/cli/langgraph_cli/main.py

I also suspected langgraph_api might be the cause. @sydney-runkle , could you please take a look at this?

@codeonym commented on GitHub (Oct 8, 2025): > The problem is with `langraph_api` and how the server is starting: /Users/mohtashim/langgraph/libs/cli/langgraph_cli/**main**.py I also suspected langgraph_api might be the cause. @sydney-runkle , could you please take a look at this?
yindo commented 2026-02-20 17:42:41 -05:00
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@isahers1 commented on GitHub (Nov 7, 2025):

You are using Optional when you should be using NotRequired, you can still pass it in to the tool typed as State instead of dict.

@isahers1 commented on GitHub (Nov 7, 2025): You are using `Optional` when you should be using `NotRequired`, you can still pass it in to the tool typed as State instead of dict.
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Reference: langchain-ai/langgraph#1001
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