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tools_condition throws KeyError: 'tools' #664

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opened 2026-02-20 17:41:10 -05:00 by yindo · 5 comments
yindo commented 2026-02-20 17:41:10 -05:00
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Originally created by @khteh on GitHub (Jun 4, 2025).

Checked other resources

  • This is a bug, not a usage question. For questions, please use GitHub Discussions.
  • 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

@dataclass
class CustomAgentState(AgentState):
    context: List[Document]


  cache_policy = CachePolicy(ttl=600) # 10 minutes
  graph_builder = StateGraph(CustomAgentState)
  graph_builder.add_node("Agent", self.Agent, cache_policy = cache_policy)
  graph_builder.add_node("Retrieve", ToolNode([self._vectorStore.retriever_tool]), cache_policy = cache_policy) # Execute the retrieval.
  graph_builder.add_node("Rewrite", self.Rewrite, cache_policy = cache_policy)
  graph_builder.add_node("Generate", self.Generate, cache_policy = cache_policy)
  graph_builder.add_edge(START, "Agent")
  #graph_builder.set_entry_point("query_or_respond")
  graph_builder.add_conditional_edges(
        "Agent",
        # Assess agent decision
        tools_condition,
        {
            """
            Translate the condition outputs to nodes in our graph
            which node to go to based on the output of the conditional edge function - tools_condition.
            """
            "tools": "Retrieve",
            END: END
        },
    )
    # Edges taken after the `action` node is called.
    graph_builder.add_conditional_edges(
        "Retrieve",
        # Assess agent decision
        self.GradeDocuments,
    )
    graph_builder.add_edge("Generate", END)
    graph_builder.add_edge("Rewrite", "Agent")
    self._graph = graph_builder.compile(store=self._in_memory_store, name="Checkedpoint StateGraph RAG", cache=InMemoryCache())


    async def TestDirectResponseWithoutRetrieval(self, config, message: str):
        logging.info(f"\n=== {self.TestDirectResponseWithoutRetrieval.__name__} ===")
        async for step in self._graph.astream(
            {"messages": [{"role": "user", "content": message}]},
            stream_mode="values",
            config = config
        ):
            step["messages"][-1].pretty_print()


    config = RunnableConfig(run_name="Checkedpoint StateGraph RAG", thread_id=uuid7str(), user_id=uuid7str())
    graph = GraphRAG(config)
    await graph.TestDirectResponseWithoutRetrieval(config, "Hello, who are you?")

Error Message and Stack Trace (if applicable)

================================ Human Message =================================

Hello, who are you?
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/usr/src/Python/rag-agent/src/rag_agent/GraphRAG.py", line 361, in <module>
    asyncio.run(main())
    ~~~~~~~~~~~^^^^^^^^
  File "/usr/lib/python3.13/asyncio/runners.py", line 195, in run
    return runner.run(main)
           ~~~~~~~~~~^^^^^^
  File "/usr/lib/python3.13/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^
  File "/usr/lib/python3.13/asyncio/base_events.py", line 719, in run_until_complete
    return future.result()
           ~~~~~~~~~~~~~^^
  File "/usr/src/Python/rag-agent/src/rag_agent/GraphRAG.py", line 357, in main
    await graph.TestDirectResponseWithoutRetrieval(config, "Hello, who are you?")
  File "/usr/src/Python/rag-agent/src/rag_agent/GraphRAG.py", line 308, in TestDirectResponseWithoutRetrieval
    async for step in self._graph.astream(
    ...<4 lines>...
        step["messages"][-1].pretty_print()
  File "/home/khteh/.local/share/virtualenvs/rag-agent-YeW3dxEa/lib/python3.13/site-packages/langgraph/pregel/__init__.py", line 2655, in astream
    async for _ in runner.atick(
    ...<7 lines>...
            yield o
  File "/home/khteh/.local/share/virtualenvs/rag-agent-YeW3dxEa/lib/python3.13/site-packages/langgraph/graph/branch.py", line 197, in _aroute
    return self._finish(writer, input, result, config)
           ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/khteh/.local/share/virtualenvs/rag-agent-YeW3dxEa/lib/python3.13/site-packages/langgraph/graph/branch.py", line 210, in _finish
    r if isinstance(r, Send) else self.ends[r] for r in result
                                  ~~~~~~~~~^^^
KeyError: 'tools'
During task with name 'Agent' and id '36bd87f2-8a9b-4d78-bce0-19d71fd331f1'

Description

https://github.com/langchain-ai/langgraph/issues/4891 was closed without merit. According to https://langchain-ai.github.io/langgraph/tutorials/rag/langgraph_agentic_rag/#7-assemble-the-graph have I not used tools_condition in the right way? Why?

System Info

System Information
------------------
> OS:  Linux
> OS Version:  #15-Ubuntu SMP PREEMPT_DYNAMIC Sun Apr  6 15:05:05 UTC 2025
> Python Version:  3.13.3 (main, Apr  8 2025, 19:55:40) [GCC 14.2.0]

Package Information
-------------------
> langchain_core: 0.3.63
> langchain: 0.3.25
> langchain_community: 0.3.24
> langsmith: 0.3.44
> langchain_google_genai: 2.1.5
> langchain_neo4j: 0.4.0
> langchain_ollama: 0.3.3
> langchain_postgres: 0.0.13
> langchain_text_splitters: 0.3.8
> langgraph_sdk: 0.1.70

Optional packages not installed
-------------------------------
> langserve

Other Dependencies
------------------
> aiohttp<4.0.0,>=3.8.3: Installed. No version info available.
> async-timeout<5.0.0,>=4.0.0;: 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
> httpx: 0.28.1
> httpx-sse<1.0.0,>=0.4.0: Installed. No version info available.
> httpx>=0.25.2: Installed. No version info available.
> jsonpatch<2.0,>=1.33: Installed. No version info available.
> 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<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,>=0.3.59: Installed. No version info available.
> langchain-core<1.0.0,>=0.3.60: 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-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.
> langsmith-pyo3: Installed. No version info available.
> langsmith<0.4,>=0.1.125: Installed. No version info available.
> langsmith<0.4,>=0.1.126: Installed. No version info available.
> langsmith<0.4,>=0.1.17: Installed. No version info available.
> neo4j: 5.28.1
> neo4j-graphrag: 1.6.1
> numpy: 2.2.6
> numpy>=1.26.2;: Installed. No version info available.
> numpy>=2.1.0;: Installed. No version info available.
> ollama<1.0.0,>=0.4.8: Installed. No version info available.
> openai-agents: Installed. No version info available.
> opentelemetry-api: 1.33.1
> opentelemetry-exporter-otlp-proto-http: Installed. No version info available.
> opentelemetry-sdk: 1.33.1
> orjson: 3.10.18
> orjson>=3.10.1: Installed. No version info available.
> packaging: 24.2
> packaging<25,>=23.2: Installed. No version info available.
> pgvector: 0.3.6
> psycopg: 3.2.9
> psycopg-pool: 3.2.6
> 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.
> pytest: Installed. No version info available.
> PyYAML>=5.3: Installed. No version info available.
> requests: 2.32.3
> requests-toolbelt: 1.0.0
> requests<3,>=2: Installed. No version info available.
> rich: Installed. No version info available.
> sqlalchemy: 2.0.41
> SQLAlchemy<3,>=1.4: 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.
> typing-extensions>=4.7: Installed. No version info available.
> zstandard: 0.23.0
Originally created by @khteh on GitHub (Jun 4, 2025). ### Checked other resources - [x] This is a bug, not a usage question. For questions, please use GitHub Discussions. - [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 @dataclass class CustomAgentState(AgentState): context: List[Document] cache_policy = CachePolicy(ttl=600) # 10 minutes graph_builder = StateGraph(CustomAgentState) graph_builder.add_node("Agent", self.Agent, cache_policy = cache_policy) graph_builder.add_node("Retrieve", ToolNode([self._vectorStore.retriever_tool]), cache_policy = cache_policy) # Execute the retrieval. graph_builder.add_node("Rewrite", self.Rewrite, cache_policy = cache_policy) graph_builder.add_node("Generate", self.Generate, cache_policy = cache_policy) graph_builder.add_edge(START, "Agent") #graph_builder.set_entry_point("query_or_respond") graph_builder.add_conditional_edges( "Agent", # Assess agent decision tools_condition, { """ Translate the condition outputs to nodes in our graph which node to go to based on the output of the conditional edge function - tools_condition. """ "tools": "Retrieve", END: END }, ) # Edges taken after the `action` node is called. graph_builder.add_conditional_edges( "Retrieve", # Assess agent decision self.GradeDocuments, ) graph_builder.add_edge("Generate", END) graph_builder.add_edge("Rewrite", "Agent") self._graph = graph_builder.compile(store=self._in_memory_store, name="Checkedpoint StateGraph RAG", cache=InMemoryCache()) async def TestDirectResponseWithoutRetrieval(self, config, message: str): logging.info(f"\n=== {self.TestDirectResponseWithoutRetrieval.__name__} ===") async for step in self._graph.astream( {"messages": [{"role": "user", "content": message}]}, stream_mode="values", config = config ): step["messages"][-1].pretty_print() config = RunnableConfig(run_name="Checkedpoint StateGraph RAG", thread_id=uuid7str(), user_id=uuid7str()) graph = GraphRAG(config) await graph.TestDirectResponseWithoutRetrieval(config, "Hello, who are you?") ``` ### Error Message and Stack Trace (if applicable) ```shell ================================ Human Message ================================= Hello, who are you? Traceback (most recent call last): File "<frozen runpy>", line 198, in _run_module_as_main File "<frozen runpy>", line 88, in _run_code File "/usr/src/Python/rag-agent/src/rag_agent/GraphRAG.py", line 361, in <module> asyncio.run(main()) ~~~~~~~~~~~^^^^^^^^ File "/usr/lib/python3.13/asyncio/runners.py", line 195, in run return runner.run(main) ~~~~~~~~~~^^^^^^ File "/usr/lib/python3.13/asyncio/runners.py", line 118, in run return self._loop.run_until_complete(task) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^ File "/usr/lib/python3.13/asyncio/base_events.py", line 719, in run_until_complete return future.result() ~~~~~~~~~~~~~^^ File "/usr/src/Python/rag-agent/src/rag_agent/GraphRAG.py", line 357, in main await graph.TestDirectResponseWithoutRetrieval(config, "Hello, who are you?") File "/usr/src/Python/rag-agent/src/rag_agent/GraphRAG.py", line 308, in TestDirectResponseWithoutRetrieval async for step in self._graph.astream( ...<4 lines>... step["messages"][-1].pretty_print() File "/home/khteh/.local/share/virtualenvs/rag-agent-YeW3dxEa/lib/python3.13/site-packages/langgraph/pregel/__init__.py", line 2655, in astream async for _ in runner.atick( ...<7 lines>... yield o File "/home/khteh/.local/share/virtualenvs/rag-agent-YeW3dxEa/lib/python3.13/site-packages/langgraph/graph/branch.py", line 197, in _aroute return self._finish(writer, input, result, config) ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/khteh/.local/share/virtualenvs/rag-agent-YeW3dxEa/lib/python3.13/site-packages/langgraph/graph/branch.py", line 210, in _finish r if isinstance(r, Send) else self.ends[r] for r in result ~~~~~~~~~^^^ KeyError: 'tools' During task with name 'Agent' and id '36bd87f2-8a9b-4d78-bce0-19d71fd331f1' ``` ### Description https://github.com/langchain-ai/langgraph/issues/4891 was closed without merit. According to https://langchain-ai.github.io/langgraph/tutorials/rag/langgraph_agentic_rag/#7-assemble-the-graph have I not used `tools_condition` in the right way? Why? ### System Info ``` System Information ------------------ > OS: Linux > OS Version: #15-Ubuntu SMP PREEMPT_DYNAMIC Sun Apr 6 15:05:05 UTC 2025 > Python Version: 3.13.3 (main, Apr 8 2025, 19:55:40) [GCC 14.2.0] Package Information ------------------- > langchain_core: 0.3.63 > langchain: 0.3.25 > langchain_community: 0.3.24 > langsmith: 0.3.44 > langchain_google_genai: 2.1.5 > langchain_neo4j: 0.4.0 > langchain_ollama: 0.3.3 > langchain_postgres: 0.0.13 > langchain_text_splitters: 0.3.8 > langgraph_sdk: 0.1.70 Optional packages not installed ------------------------------- > langserve Other Dependencies ------------------ > aiohttp<4.0.0,>=3.8.3: Installed. No version info available. > async-timeout<5.0.0,>=4.0.0;: 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 > httpx: 0.28.1 > httpx-sse<1.0.0,>=0.4.0: Installed. No version info available. > httpx>=0.25.2: Installed. No version info available. > jsonpatch<2.0,>=1.33: Installed. No version info available. > 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<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,>=0.3.59: Installed. No version info available. > langchain-core<1.0.0,>=0.3.60: 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-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. > langsmith-pyo3: Installed. No version info available. > langsmith<0.4,>=0.1.125: Installed. No version info available. > langsmith<0.4,>=0.1.126: Installed. No version info available. > langsmith<0.4,>=0.1.17: Installed. No version info available. > neo4j: 5.28.1 > neo4j-graphrag: 1.6.1 > numpy: 2.2.6 > numpy>=1.26.2;: Installed. No version info available. > numpy>=2.1.0;: Installed. No version info available. > ollama<1.0.0,>=0.4.8: Installed. No version info available. > openai-agents: Installed. No version info available. > opentelemetry-api: 1.33.1 > opentelemetry-exporter-otlp-proto-http: Installed. No version info available. > opentelemetry-sdk: 1.33.1 > orjson: 3.10.18 > orjson>=3.10.1: Installed. No version info available. > packaging: 24.2 > packaging<25,>=23.2: Installed. No version info available. > pgvector: 0.3.6 > psycopg: 3.2.9 > psycopg-pool: 3.2.6 > 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. > pytest: Installed. No version info available. > PyYAML>=5.3: Installed. No version info available. > requests: 2.32.3 > requests-toolbelt: 1.0.0 > requests<3,>=2: Installed. No version info available. > rich: Installed. No version info available. > sqlalchemy: 2.0.41 > SQLAlchemy<3,>=1.4: 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. > typing-extensions>=4.7: Installed. No version info available. > zstandard: 0.23.0 ```
yindo closed this issue 2026-02-20 17:41:10 -05:00
yindo commented 2026-02-20 17:41:10 -05:00
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@hinthornw commented on GitHub (Jun 5, 2025):

@khteh , please look at your code. For this dict you have:

from langgraph.constants import END

{
    """
            Translate the condition outputs to nodes in our graph
            which node to go to based on the output of the conditional edge function - tools_condition.
            """
    "tools": "Retrieve",
    END: END,
}

It is interpreted as:

{'\n            Translate the condition outputs to nodes in our graph\n            which node to go to based on the output of the conditional edge function - tools_condition.\n            tools': 'Retrieve',
 '__end__': '__end__'}

Meaning you're not actually handling the "tools" output.

@hinthornw commented on GitHub (Jun 5, 2025): @khteh , please look at your code. For this dict you have: ```python from langgraph.constants import END { """ Translate the condition outputs to nodes in our graph which node to go to based on the output of the conditional edge function - tools_condition. """ "tools": "Retrieve", END: END, } ``` It is interpreted as: ```python {'\n Translate the condition outputs to nodes in our graph\n which node to go to based on the output of the conditional edge function - tools_condition.\n tools': 'Retrieve', '__end__': '__end__'} ``` Meaning you're not actually handling the "tools" output.
yindo commented 2026-02-20 17:41:10 -05:00
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@khteh commented on GitHub (Jun 5, 2025):

I struggle to understand how is this different from https://langchain-ai.github.io/langgraph/tutorials/rag/langgraph_agentic_rag/#7-assemble-the-graph

workflow.add_node("retrieve", ToolNode([retriever_tool]))

# Decide whether to retrieve
workflow.add_conditional_edges(
    "generate_query_or_respond",
    # Assess LLM decision (call `retriever_tool` tool or respond to the user)
    tools_condition,
    {
        # Translate the condition outputs to nodes in our graph
        "tools": "retrieve",
        END: END,
    },
)
@khteh commented on GitHub (Jun 5, 2025): I struggle to understand how is this different from https://langchain-ai.github.io/langgraph/tutorials/rag/langgraph_agentic_rag/#7-assemble-the-graph ``` workflow.add_node("retrieve", ToolNode([retriever_tool])) # Decide whether to retrieve workflow.add_conditional_edges( "generate_query_or_respond", # Assess LLM decision (call `retriever_tool` tool or respond to the user) tools_condition, { # Translate the condition outputs to nodes in our graph "tools": "retrieve", END: END, }, ) ```
yindo commented 2026-02-20 17:41:10 -05:00
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@hinthornw commented on GitHub (Jun 5, 2025):

They're completely differneet dictionaries. Yours doesn't handle "tools", because you mangled the key with the big string.

In the docs:
{
"tools": "retrieve",
END: END,
}

Handles both "tools" and END

{
"""
Translate the condition outputs to nodes in our graph
which node to go to based on the output of the conditional edge function - tools_condition.
"""
"tools": "Retrieve",
END: END,
}

handles

'\n Translate the condition outputs to nodes in our graph\n which node to go to based on the output of the conditional edge function - tools_condition.\n tools': 'Retrieve'
and
END

but not 'tools'.

Since tools_condition emits 'tools', your condition doesn't handle it

@hinthornw commented on GitHub (Jun 5, 2025): They're completely differneet dictionaries. Yours doesn't handle "tools", because you mangled the key with the big string. In the docs: { "tools": "retrieve", END: END, } Handles both "tools" and END { """ Translate the condition outputs to nodes in our graph which node to go to based on the output of the conditional edge function - tools_condition. """ "tools": "Retrieve", END: END, } handles '\n Translate the condition outputs to nodes in our graph\n which node to go to based on the output of the conditional edge function - tools_condition.\n tools': 'Retrieve' and END but not 'tools'. Since tools_condition emits 'tools', your condition doesn't handle it
yindo commented 2026-02-20 17:41:10 -05:00
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@khteh commented on GitHub (Jun 5, 2025):

That multiline string was meant to be comment for my understanding and code documentation. This was subtle!

@khteh commented on GitHub (Jun 5, 2025): That multiline string was meant to be comment for my understanding and code documentation. This was subtle!
yindo commented 2026-02-20 17:41:10 -05:00
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@hinthornw commented on GitHub (Jun 5, 2025):

I really appreciate your enthusiasm for learning! And I want to help you be successful in whatever apps you're building.

I don't intend to be curt, but I've noticed a pattern here. You've opened 17 issues on this repo already, and 20 or 30 across related libraries. Only a couple of these have turned out to be actual issues in the underlying libraries. As an OSS maintainer trying to handle dozens of issues daily, this creates a lot of noise and makes it harder for me to help users with legitimate problems.

This particular issue is a syntax error you could have caught by regular debugging and breaking down each section yourself - you accidentally turned your comment into a dictionary key. Please take more time to debug your own code before assuming there's a bug in the library.

Going forward, I may become less responsive to issues from your account unless you provide clear, ample evidence you've done proper debugging first.

Thank you for your help!

@hinthornw commented on GitHub (Jun 5, 2025): I really appreciate your enthusiasm for learning! And I want to help you be successful in whatever apps you're building. I don't intend to be curt, but I've noticed a pattern here. You've opened 17 issues on this repo already, and 20 or 30 across related libraries. Only a couple of these have turned out to be actual issues in the underlying libraries. As an OSS maintainer trying to handle dozens of issues daily, this creates a lot of noise and makes it harder for me to help users with legitimate problems. This particular issue is a syntax error you could have caught by regular debugging and breaking down each section yourself - you accidentally turned your comment into a dictionary key. Please take more time to debug your own code before assuming there's a bug in the library. Going forward, I may become less responsive to issues from your account unless you provide clear, ample evidence you've done proper debugging first. Thank you for your help!
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Reference: langchain-ai/langgraph#664
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?