Repository: llamastack/llama-stack

Issue:
LangChain agents get "tool_call_ids did not have response messages" error
### System Info

llama_stack==0.2.17
llama_stack_client==0.2.17

PyTorch version: 2.8.0
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 15.6 (arm64)
GCC version: Could not collect
Clang version: 17.0.0 (clang-1700.0.13.5)
CMake version: version 3.31.5
Libc version: N/A

Python version: 3.12.9 (main, May 22 2025, 15:58:04) [Clang 17.0.0 (clang-1700.0.13.3)] (64-bit runtime)
Python platform: macOS-15.6-arm64-arm-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Apple M3 Max

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] torch==2.8.0
[conda] Could not collect

### Information

- [ ] The official example scripts
- [x] My own modified scripts

### 🐛 Describe the bug

I am trying to use Llama Stack as a back end with LangChain.   When I try to send in my tool call responses, I get an error along the lines of:

```
Error executing endpoint route='/v1/openai/v1/responses'
         method='post': Error code: 400 - {'error': {'message': "An assistant message with 'tool_calls' must be followed by tool messages responding
         to each 'tool_call_id'. The following tool_call_ids did not have response messages: call_bUilpcpBgO7gRt0M4SYziGxI
```

So I print out the tool call responses I am adding, and I see that this `call_bUilpcpBgO7gRt0M4SYziGxI` IS in the list.  So it is getting added in there.

Maybe this is a user error or a bug in LangChain, but it could also be some sort of incompatibility or quirk so I figured I should raise an issue so that more investigation can be done.

Below is my test code.  To replicate you may also need:

- https://github.com/jwm4/tiny-mcp-poc/blob/main/notebooks/requirements.txt
- https://github.com/jwm4/tiny-mcp-poc/blob/main/nps_mcp_server.py
- https://github.com/jwm4/tiny-mcp-poc/blob/main/notebooks/run.yaml

```
from langchain_core.prompts import ChatPromptTemplate
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_core.messages import AIMessage, ToolMessage, SystemMessage, HumanMessage
from langchain_openai import ChatOpenAI
import json

LLAMA_STACK_MODEL_ID = "gpt-4o"
LLAMA_STACK_URL = "http://localhost:8321/"
NPS_MCP_URL = "http://localhost:3005/sse/"

# Pointing to your local Responses API server
llm = ChatOpenAI(
    model=LLAMA_STACK_MODEL_ID,
    base_url=LLAMA_STACK_URL + "v1/openai/v1", # This suffix gets to the part of the URL that is specific to the OpenAI API, which you need here since you are using the OpenAI client.
    use_responses_api=True
)
async def run_llm_with_tools(llm, query):
    langchain_client = MultiServerMCPClient(
        {
            "nps": {
                "url": NPS_MCP_URL,
                "transport": "sse",
            }
        }
    )
    tools = await langchain_client.get_tools()
    llm_with_tools = llm.bind_tools(tools)

    tool_map = {tool.name: tool for tool in tools}
    
    messages = [
        SystemMessage(content="You are a helpful assistant that can use tools to answer questions."),
        HumanMessage(content=query),
    ]

    # Loop until the model provides a final answer without tool calls
    while True:
        print("\n--- History before model invocation ---")
        for msg in messages:
            print(f"- Role: {msg.type}, Content: {msg.content}")
            if isinstance(msg, AIMessage) and msg.tool_calls:
                print(f"  Tool Calls: {msg.tool_calls}")
            if isinstance(msg, ToolMessage):
                print(f"  Tool Call ID: {msg.tool_call_id}")
        print("--------------------------------------")

        # Define the prompt and chain inside the loop to include the latest messages
        prompt = ChatPromptTemplate.from_messages(messages)
        chain = prompt | llm_with_tools

        print(f"\n--- Invoking chain... ---")
        # The input is an empty dictionary because the messages are already in the prompt
        ai_message = await chain.ainvoke({})
       
        messages.append(ai_message) # Append AI's response to the history

        print("\n--- Model Output (AIMessage) ---")
        print(ai_message)
        print("-" * 25)

        # If there are no tool calls, the model has given its final answer.
        if not ai_message.tool_calls:
            break

        # If there are tool calls, execute them sequentially.
        print("\n--- Executing Tools Sequentially ---")
        print(ai_message.tool_calls)
        for tool_call in ai_message.tool_calls:
            tool_to_run = tool_map.get(tool_call["name"])
            tool_output = None
            if tool_to_run:
                print(f"Running tool: {tool_call['name']} with args: {tool_call['args']}")
                try:
                    # Invoke the tool and get the output
                    tool_output = await tool_to_run.ainvoke(tool_call["args"])
                except Exception as e:
                    # If the tool fails, create an error message as the output.
                    print(f"Error running tool {tool_call['name']}: {e}")
                    tool_output = f"Error running tool: {e}"
            else:
                # If the tool doesn't exist, create an error message as the output.
                print(f"Warning: Model requested unknown tool '{tool_call['name']}'")
                tool_output = f"Error: Tool '{tool_call['name']}' not found."

            messages.append(
                ToolMessage(content=json.dumps(tool_output), tool_call_id=tool_call['id'])
            )

    # The final response is the content of the last AI message
    final_response = messages[-1].content
    print("\n--- Final Synthesized Response ---")
    print(final_response)
    print("-" * 25)

async def main():
    query = "Tell me about some parks in Rhode Island, and let me know if there are any upcoming events at them."
    await run_llm_with_tools(llm, query)

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

### Error logs

Client output:
```

--- History before model invocation ---
- Role: system, Content: You are a helpful assistant that can use tools to answer questions.
- Role: human, Content: Tell me about some parks in Rhode Island, and let me know if there are any upcoming events at them.
--------------------------------------

--- Invoking chain... ---

--- Model Output (AIMessage) ---
content=[] additional_kwargs={'__openai_function_call_ids__': {'call_OyltyD7cNJn865scl3Y2e5ZK': 'fc_d622d12d-4aa5-4401-97f6-4ee380011d9d'}} response_metadata={'id': 'resp-d253a19b-a5ac-404e-8752-f9c39f4bc0e2', 'created_at': 1755118429.0, 'model': 'gpt-4o', 'object': 'response', 'status': 'completed', 'model_name': 'gpt-4o'} id='resp-d253a19b-a5ac-404e-8752-f9c39f4bc0e2' tool_calls=[{'name': 'search_parks', 'args': {'state_code': 'RI'}, 'id': 'call_OyltyD7cNJn865scl3Y2e5ZK', 'type': 'tool_call'}]
-------------------------

--- Executing Tools Sequentially ---
[{'name': 'search_parks', 'args': {'state_code': 'RI'}, 'id': 'call_OyltyD7cNJn865scl3Y2e5ZK', 'type': 'tool_call'}]
Running tool: search_parks with args: {'state_code': 'RI'}

--- History before model invocation ---
- Role: system, Content: You are a helpful assistant that can use tools to answer questions.
- Role: human, Content: Tell me about some parks in Rhode Island, and let me know if there are any upcoming events at them.
- Role: ai, Content: []
  Tool Calls: [{'name': 'search_parks', 'args': {'state_code': 'RI'}, 'id': 'call_OyltyD7cNJn865scl3Y2e5ZK', 'type': 'tool_call'}]
- Role: tool, Content: "{\n  \"total\": \"4\",\n  \"parks\": [\n    {\n      \"name\": \"Blackstone River Valley National Historical Park\",\n      \"code\": \"blrv\",\n      \"description\": \"The Blackstone River powered America's entry into the Age of Industry. The success of Samuel Slater's cotton spinning mill in Pawtucket, RI touched off a chain reaction that changed how people worked and where they lived. Learn how this revolution transformed the landscape of the Blackstone Valley and the United States. The Visitor Center at Old Slater Mill is currently open Thursday-Sunday, 10-4.\",\n      \"website\": \"https://www.nps.gov/blrv/index.htm\",\n      \"states\": \"RI,MA\",\n      \"designation\": \"National Historical Park\",\n      \"latitude\": \"41.8775792792\",\n      \"longitude\": \"-71.382433945\"\n    },\n    {\n      \"name\": \"Roger Williams National Memorial\",\n      \"code\": \"rowi\",\n      \"description\": \"\\\"I acknowledge that to molest any person, Jew or Gentile, for either professing doctrine, or practicing worship meerly religious or spiritual, is to persecute him, and such a person (whether his doctrine or practice be true or false) suffers persecution for conscience.\\\" -Roger Williams, 1644 Banished by the English and saved by the First Peoples, Roger Williams founded Providence here in 1636.\",\n      \"website\": \"https://www.nps.gov/rowi/index.htm\",\n      \"states\": \"RI\",\n      \"designation\": \"National Memorial\",\n      \"latitude\": \"41.8298955\",\n      \"longitude\": \"-71.41056665\"\n    },\n    {\n      \"name\": \"Touro Synagogue National Historic Site\",\n      \"code\": \"tosy\",\n      \"description\": \"Touro Synagogue, a building of exquisite beauty and design, steeped in history and ideals, and one of the most historically significant Jewish buildings in America, was designated a National Historic Site in 1946. Dedicated in 1763, it still serves an active congregation and each year greets over 30,000 visitors who come to see the magnificent interior and hear its remarkable story.\",\n      \"website\": \"https://www.nps.gov/tosy/index.htm\",\n      \"states\": \"RI\",\n      \"designation\": \"National Historic Site\",\n      \"latitude\": \"41.4893\",\n      \"longitude\": \"-71.3121\"\n    },\n    {\n      \"name\": \"Washington-Rochambeau Revolutionary Route National Historic Trail\",\n      \"code\": \"waro\",\n      \"description\": \"\\u201cOf the happiness I have enjoyed in our private friendship. The remembrance of which will be one of the most pleasing Circumstances of my life.\\u201d\\u2013 Comte de Rochambeau on his relationship with George Washington\",\n      \"website\": \"https://www.nps.gov/waro/index.htm\",\n      \"states\": \"MA,RI,CT,NY,NJ,PA,DE,MD,VA,DC\",\n      \"designation\": \"National Historic Trail\",\n      \"latitude\": \"40.0958204557\",\n      \"longitude\": \"-74.8563515109\"\n    }\n  ]\n}"
  Tool Call ID: call_OyltyD7cNJn865scl3Y2e5ZK
--------------------------------------

--- Invoking chain... ---

--- Model Output (AIMessage) ---
content=[] additional_kwargs={'__openai_function_call_ids__': {'call_bUilpcpBgO7gRt0M4SYziGxI': 'fc_fd1b764c-09ac-498c-98ec-a3a992925c4b', 'call_A8m1Jy67aMbMjRejREGLDrBw': 'fc_d0411cec-6df8-47b1-991f-87249b49eb1d', 'call_jfmuR8FidmDlm5QnYiMQaVCd': 'fc_99d9df59-2377-4091-b0a1-b7b9dd5795aa', 'call_iCFEqpuWg29SgDMjeHfBAkt6': 'fc_c877918f-10a2-446d-8e4d-5e9cd7edd603'}} response_metadata={'id': 'resp-7e326880-ad04-4d7e-a8fe-2ac74664e433', 'created_at': 1755118430.0, 'model': 'gpt-4o', 'object': 'response', 'status': 'completed', 'model_name': 'gpt-4o'} id='resp-7e326880-ad04-4d7e-a8fe-2ac74664e433' tool_calls=[{'name': 'get_park_events', 'args': {'park_code': 'blrv'}, 'id': 'call_bUilpcpBgO7gRt0M4SYziGxI', 'type': 'tool_call'}, {'name': 'get_park_events', 'args': {'park_code': 'rowi'}, 'id': 'call_A8m1Jy67aMbMjRejREGLDrBw', 'type': 'tool_call'}, {'name': 'get_park_events', 'args': {'park_code': 'tosy'}, 'id': 'call_jfmuR8FidmDlm5QnYiMQaVCd', 'type': 'tool_call'}, {'name': 'get_park_events', 'args': {'park_code': 'waro'}, 'id': 'call_iCFEqpuWg29SgDMjeHfBAkt6', 'type': 'tool_call'}]
-------------------------

--- Executing Tools Sequentially ---
[{'name': 'get_park_events', 'args': {'park_code': 'blrv'}, 'id': 'call_bUilpcpBgO7gRt0M4SYziGxI', 'type': 'tool_call'}, {'name': 'get_park_events', 'args': {'park_code': 'rowi'}, 'id': 'call_A8m1Jy67aMbMjRejREGLDrBw', 'type': 'tool_call'}, {'name': 'get_park_events', 'args': {'park_code': 'tosy'}, 'id': 'call_jfmuR8FidmDlm5QnYiMQaVCd', 'type': 'tool_call'}, {'name': 'get_park_events', 'args': {'park_code': 'waro'}, 'id': 'call_iCFEqpuWg29SgDMjeHfBAkt6', 'type': 'tool_call'}]
Running tool: get_park_events with args: {'park_code': 'blrv'}
Running tool: get_park_events with args: {'park_code': 'rowi'}
Running tool: get_park_events with args: {'park_code': 'tosy'}
Running tool: get_park_events with args: {'park_code': 'waro'}

--- History before model invocation ---
- Role: system, Content: You are a helpful assistant that can use tools to answer questions.
- Role: human, Content: Tell me about some parks in Rhode Island, and let me know if there are any upcoming events at them.
- Role: ai, Content: []
  Tool Calls: [{'name': 'search_parks', 'args': {'state_code': 'RI'}, 'id': 'call_OyltyD7cNJn865scl3Y2e5ZK', 'type': 'tool_call'}]
- Role: tool, Content: "{\n  \"total\": \"4\",\n  \"parks\": [\n    {\n      \"name\": \"Blackstone River Valley National Historical Park\",\n      \"code\": \"blrv\",\n      \"description\": \"The Blackstone River powered America's entry into the Age of Industry. The success of Samuel Slater's cotton spinning mill in Pawtucket, RI touched off a chain reaction that changed how people worked and where they lived. Learn how this revolution transformed the landscape of the Blackstone Valley and the United States. The Visitor Center at Old Slater Mill is currently open Thursday-Sunday, 10-4.\",\n      \"website\": \"https://www.nps.gov/blrv/index.htm\",\n      \"states\": \"RI,MA\",\n      \"designation\": \"National Historical Park\",\n      \"latitude\": \"41.8775792792\",\n      \"longitude\": \"-71.382433945\"\n    },\n    {\n      \"name\": \"Roger Williams National Memorial\",\n      \"code\": \"rowi\",\n      \"description\": \"\\\"I acknowledge that to molest any person, Jew or Gentile, for either professing doctrine, or practicing worship meerly religious or spiritual, is to persecute him, and such a person (whether his doctrine or practice be true or false) suffers persecution for conscience.\\\" -Roger Williams, 1644 Banished by the English and saved by the First Peoples, Roger Williams founded Providence here in 1636.\",\n      \"website\": \"https://www.nps.gov/rowi/index.htm\",\n      \"states\": \"RI\",\n      \"designation\": \"National Memorial\",\n      \"latitude\": \"41.8298955\",\n      \"longitude\": \"-71.41056665\"\n    },\n    {\n      \"name\": \"Touro Synagogue National Historic Site\",\n      \"code\": \"tosy\",\n      \"description\": \"Touro Synagogue, a building of exquisite beauty and design, steeped in history and ideals, and one of the most historically significant Jewish buildings in America, was designated a National Historic Site in 1946. Dedicated in 1763, it still serves an active congregation and each year greets over 30,000 visitors who come to see the magnificent interior and hear its remarkable story.\",\n      \"website\": \"https://www.nps.gov/tosy/index.htm\",\n      \"states\": \"RI\",\n      \"designation\": \"National Historic Site\",\n      \"latitude\": \"41.4893\",\n      \"longitude\": \"-71.3121\"\n    },\n    {\n      \"name\": \"Washington-Rochambeau Revolutionary Route National Historic Trail\",\n      \"code\": \"waro\",\n      \"description\": \"\\u201cOf the happiness I have enjoyed in our private friendship. The remembrance of which will be one of the most pleasing Circumstances of my life.\\u201d\\u2013 Comte de Rochambeau on his relationship with George Washington\",\n      \"website\": \"https://www.nps.gov/waro/index.htm\",\n      \"states\": \"MA,RI,CT,NY,NJ,PA,DE,MD,VA,DC\",\n      \"designation\": \"National Historic Trail\",\n      \"latitude\": \"40.0958204557\",\n      \"longitude\": \"-74.8563515109\"\n    }\n  ]\n}"
  Tool Call ID: call_OyltyD7cNJn865scl3Y2e5ZK
- Role: ai, Content: []
  Tool Calls: [{'name': 'get_park_events', 'args': {'park_code': 'blrv'}, 'id': 'call_bUilpcpBgO7gRt0M4SYziGxI', 'type': 'tool_call'}, {'name': 'get_park_events', 'args': {'park_code': 'rowi'}, 'id': 'call_A8m1Jy67aMbMjRejREGLDrBw', 'type': 'tool_call'}, {'name': 'get_park_events', 'args': {'park_code': 'tosy'}, 'id': 'call_jfmuR8FidmDlm5QnYiMQaVCd', 'type': 'tool_call'}, {'name': 'get_park_events', 'args': {'park_code': 'waro'}, 'id': 'call_iCFEqpuWg29SgDMjeHfBAkt6', 'type': 'tool_call'}]
- Role: tool, Content: "{\n  \"parkCode\": \"BLRV\",\n  \"totalEvents\": 10,\n  \"events\": [\n    {\n      \"title\": \"Old Slater Mill Tour\",\n      \"description\": \"<p>Join a Park Ranger on a tour of the Mill that started the American Industrial Revolution. These 30 minute guided tours investigate the historical significance of Slater Mill, and what valuable lessons the building still teachings us. Tours begin at 10:30 AM, 12:30 PM and 2:30 PM in front of the mill. Please arrive a few minutes early.</p>\\n<p>\\u00a0</p>\\n<p><u><em>Please Note:</em></u><em>\\u00a0</em><em>For visitor saftey, tours of Old Slater Mill will be modified or cancelled if the heat index is at or above 87 degrees Fahrenheit. A shortened 10 minute Ranger talk will be offered at the normal tour times. Visitors will have a brief period of access to the main part of the mill. For the latest weather information, call 401-725-8638.</em></p>\",\n      \"location\": \"67 Roosevelt Avenue, Pawtucket, RI 02860\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Old Slater Mill Tour\",\n      \"description\": \"<p>Join a Park Ranger on a tour of the Mill that started the American Industrial Revolution. These 30 minute guided tours investigate the historical significance of Slater Mill, and what valuable lessons the building still teachings us. Tours begin at 10:30 AM, 12:30 PM and 2:30 PM in front of the mill. Please arrive a few minutes early.</p>\\n<p>\\u00a0</p>\\n<p><u><em>Please Note:</em></u><em>\\u00a0</em><em>For visitor saftey, tours of Old Slater Mill will be modified or cancelled if the heat index is at or above 87 degrees Fahrenheit. A shortened 10 minute Ranger talk will be offered at the normal tour times. Visitors will have a brief period of access to the main part of the mill. For the latest weather information, call 401-725-8638.</em></p>\",\n      \"location\": \"67 Roosevelt Avenue, Pawtucket, RI 02860\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Ranger Walkabout: Community and Change in Berkeley\",\n      \"description\": \"<p>Join a Park Ranger and explore the Blackstone River Valley.<br /><br />During the months of June, July, and August, park staff offer specialty tours at varying locations across the Blackstone River Watershed. These programs begin at 6:30 PM and are\\u00a060-minutes long.<br /><br />Please wear comfortable footwear and bring water.\\u00a0Most tours are outside and\\u00a0often\\u00a0include walking on uneven surfaces on varying types of terrain with no access to bathroom facilities. Bug spray and sunscreen are also highly suggested.<br /><br />Please Note: There will be no Walkabouts on June 19 and July 3.<br />\\u00a0</p>\\n<hr />\\n<h3>\\u00a0</h3>\\n<h3>August 14 \\u2013 Community and Change in Berkeley</h3>\\n<p><u>Location:\\u00a0</u>30 Martin Street, Cumberland, RI\\u00a0</p>\\n<p>What happens when a mill community changes ownership? Join a ranger and two members of the community for a guided walk through Berkeley, a Cumberland mill village. Discover how this village has adapted to change and continued to foster and strengthen community and learn about the history of this mill village. Meet in front of the Berkeley Mill complex. Limited free parking is available to participants at the Berkeley Oval just down the road.\\u00a0</p>\\n<h2>Future Schedule:</h2>\\n<h3>August 21 \\u2013 Roger Williams National Memorial 60th Anniversary Celebration</h3>\\n<p><u>Location:\\u00a0</u>282 N. Main St., Providence, RI\\u00a0\\u00a0</p>\\n<p>Roger Williams National Memorial is celebrating its 60th anniversary this year. This year\\u2019s National Memorial walkabout will showcase some of the amazing research we\\u2019ve done about the creation of the historical well and gardens. Learn about the \\u201cmemorial within a memorial,\\u201d first donated by J. Jerome Hahn, in memory of his father, Isaac Hahn, the first Jewish person elected to public office in Rhode Island. The Rhode Island Jewish Historical Association will be there to help tell this amazing story.\\u00a0</p>\\n<h3 lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">August 28 \\u2013 Remaking a Landscape</h3>\\n<p><u>Location:\\u00a0</u>67 Roosevelt Ave., Pawtucket, RI\\u00a0\\u00a0</p>\\n<p>Old Slater Mill, America\\u2019s first cotton-spinning mill, still stands along the Blackstone River, a reminder of Pawtucket\\u2019s industrial past. But the landscape that surrounds the mill has been remade numerous times over the last 232 years of the mill\\u2019s existence. On this tour we will use historic photographs, maps, and archeological findings to discover how this landscape has evolved from a rural landscape to an industrial center to a landscape marked by the effects of Urban Renewal. Please note this is not a tour of the interior of Slater Mill, but participants wishing to see the interior will be able to do so after the tour concludes.\\u00a0</p>\",\n      \"location\": \"30 Martin Street, Cumberland, RI\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Ranger Walkabout: Roger Williams 60th Anniversary Celebration\",\n      \"description\": \"<p>Join a Park Ranger and explore the Blackstone River Valley.<br /><br />During the months of June, July, and August, park staff offer specialty tours at varying locations across the Blackstone River Watershed. These programs begin at 6:30 PM and are\\u00a060-minutes long.<br /><br />Please wear comfortable footwear and bring water.\\u00a0Most tours are outside and\\u00a0often\\u00a0include walking on uneven surfaces on varying types of terrain with no access to bathroom facilities. Bug spray and sunscreen are also highly suggested.<br /><br />Please Note: There will be no Walkabouts on June 19 and July 3.<br />\\u00a0</p>\\n<hr />\\n<h3>\\u00a0</h3>\\n<h3>August 21 \\u2013 Roger Williams National Memorial 60th Anniversary Celebration</h3>\\n<p><u>Location:\\u00a0</u>282 N. Main St., Providence, RI\\u00a0\\u00a0</p>\\n<p>Roger Williams National Memorial is celebrating its 60th anniversary this year. This year\\u2019s National Memorial walkabout will showcase some of the amazing research we\\u2019ve done about the creation of the historical well and gardens. Learn about the \\u201cmemorial within a memorial,\\u201d first donated by J. Jerome Hahn, in memory of his father, Isaac Hahn, the first Jewish person elected to public office in Rhode Island. The Rhode Island Jewish Historical Association will be there to help tell this amazing story.\\u00a0</p>\\n<h2>Future Schedule:</h2>\\n<h3 lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">August 28 \\u2013 Remaking a Landscape</h3>\\n<p><u>Location:\\u00a0</u>67 Roosevelt Ave., Pawtucket, RI\\u00a0\\u00a0</p>\\n<p>Old Slater Mill, America\\u2019s first cotton-spinning mill, still stands along the Blackstone River, a reminder of Pawtucket\\u2019s industrial past. But the landscape that surrounds the mill has been remade numerous times over the last 232 years of the mill\\u2019s existence. On this tour we will use historic photographs, maps, and archeological findings to discover how this landscape has evolved from a rural landscape to an industrial center to a landscape marked by the effects of Urban Renewal. Please note this is not a tour of the interior of Slater Mill, but participants wishing to see the interior will be able to do so after the tour concludes.\\u00a0</p>\",\n      \"location\": \"Roger Williams National Memorial, 282 North Main Street, Providence, RI\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Old Slater Mill Tour\",\n      \"description\": \"<p>Join a Park Ranger on a tour of the Mill that started the American Industrial Revolution. These 30 minute guided tours investigate the historical significance of Slater Mill, and what valuable lessons the building still teachings us. Tours begin at 10:30 AM, 12:30 PM and 2:30 PM in front of the mill. Please arrive a few minutes early.</p>\\n<p>\\u00a0</p>\\n<p><u><em>Please Note:</em></u><em>\\u00a0</em><em>For visitor saftey, tours of Old Slater Mill will be modified or cancelled if the heat index is at or above 87 degrees Fahrenheit. A shortened 10 minute Ranger talk will be offered at the normal tour times. Visitors will have a brief period of access to the main part of the mill. For the latest weather information, call 401-725-8638.</em></p>\",\n      \"location\": \"67 Roosevelt Avenue, Pawtucket, RI 02860\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Take Me Fishing Day\",\n      \"description\": \"<p>It's time again for our annual Founders Day fishing event.\\u00a0</p>\\n<p>Join Park Rangers, DEM, US Fish and Wildlife staff, and volunteers for a free fishing program at the Kelly House, located at the Blackstone River State Park, on August 24, 2025 from 1-4 PM. Catch some fish, learn about the river, and earn a Junior Angler badge.\\u00a0</p>\\n<p>All fishing gear, materials, and bait will be provided.</p>\\n<p>Please wear comfortable footwear and bring water. Bug spray and sunscreen are also highly suggested.\\u00a0</p>\",\n      \"location\": \"\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Ranger Walkabout: Remaking a Landscape\",\n      \"description\": \"<p>Join a Park Ranger and explore the Blackstone River Valley.<br /><br />During the months of June, July, and August, park staff offer specialty tours at varying locations across the Blackstone River Watershed. These programs begin at 6:30 PM and are\\u00a060-minutes long.<br /><br />Please wear comfortable footwear and bring water.\\u00a0Most tours are outside and\\u00a0often\\u00a0include walking on uneven surfaces on varying types of terrain with no access to bathroom facilities. Bug spray and sunscreen are also highly suggested.<br /><br />Please Note: There will be no Walkabouts on June 19 and July 3.<br />\\u00a0</p>\\n<hr />\\n<h3>\\u00a0</h3>\\n<h3 lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">August 28 \\u2013 Remaking a Landscape</h3>\\n<p><u>Location:\\u00a0</u>67 Roosevelt Ave., Pawtucket, RI\\u00a0\\u00a0</p>\\n<p>Old Slater Mill, America\\u2019s first cotton-spinning mill, still stands along the Blackstone River, a reminder of Pawtucket\\u2019s industrial past. But the landscape that surrounds the mill has been remade numerous times over the last 232 years of the mill\\u2019s existence. On this tour we will use historic photographs, maps, and archeological findings to discover how this landscape has evolved from a rural landscape to an industrial center to a landscape marked by the effects of Urban Renewal. Please note this is not a tour of the interior of Slater Mill, but participants wishing to see the interior will be able to do so after the tour concludes.\\u00a0</p>\",\n      \"location\": \"Old Slater Mill, 67 Roosevelt Avenue, Pawtucket, RI\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Labor Day Weekend Specialty Tours at Old Slater Mill\",\n      \"description\": \"<p class=\\\"\\\">Celebrate Labor Day by joining us on a special guided tour of the Mill that started the American Industrial Revolution. These 30 - 45 minute guided tours investigate the historical significance of Slater Mill, and what valuable lessons the building still teachings us.</p>\\n<h3 class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">Saturday, August 30, 2025</h3>\\n<h4 class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">10:30 AM: Not Child\\u2019s Play: The Story of Slater Mill</h4>\\n<p class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">Join a Park Ranger as we discuss the stories of the children who were the first workers at Old Slater Mill.</p>\\n<h4 class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">12:30 PM: The Cotton Economy</h4>\\n<p class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">Join a Park Ranger and learn about the close connections between the labor of enslaved peoples and the textile industry of the Blackstone River Valley.</p>\\n<h4 class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">2:30 PM: Women\\u2019s Work: Labor History at Old Slater Mill</h4>\\n<p class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">Join a Park Ranger for a discussion of the intersection between women\\u2019s history and labor history and Old Slater Mill.</p>\\n<h3 class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">Sunday, August 31, 2025</h3>\\n<h4 class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">10:30 AM: The Birthplace of America\\u2019s Working Class</h4>\\n<p class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">Join a Park Ranger for a discussion of the importance of Old Slater Mill and the birth of the American working class.</p>\\n<h4 lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">12:30 PM: The Cotton Economy</h4>\\n<p class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">Join a Park Ranger and learn about the close connections between the labor of enslaved peoples and the textile industry of the Blackstone River Valley.</p>\\n<h4 lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">2:30 PM: Human and Machine</h4>\\n<p lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">Join a Park Ranger for a deep dive into the collection of historic machinery at Old Slater Mill and the people who worked those machines.</p>\\n<h4 class=\\\"\\\" lang=\\\"EN-US\\\" xml:lang=\\\"EN-US\\\">Please note: Old Slater Mill is closed on Labor Day (Monday, September 1, 2025)</h4>\",\n      \"location\": \"67 Roosevelt Avenue, Pawtucket, RI 02860\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Songwriters at Slater Mill\",\n      \"description\": \"<div data-ogsc=\\\"black\\\" data-olk-copy-source=\\\"MessageBody\\\">Join Allison Rose and J. Michael Graham for an afternoon of acoustic music along the Blackstone River! This free program will be hosted on the grounds of Old Slater Mill National Historic Landmark, located in Downtown Pawtucket.</div>\\n<div id=\\\"x_x_Signature\\\">\\n<div data-ogsc=\\\"black\\\">\\u00a0</div>\\n<div data-ogsc=\\\"black\\\">Songwriters at the Mill is part of the annual Pawtucket Arts Festival. National Park Service staff will also be on hand to provide\\u00a0<a id=\\\"LPlnk747698\\\" title=\\\"https://www.nps.gov/planyourvisit/event-details.htm?id=FFCB51A9-BEE1-CBE5-C0863B04B5DF1D5E\\\" href=\\\"https://www.nps.gov/planyourvisit/event-details.htm?id=FFCB51A9-BEE1-CBE5-C0863B04B5DF1D5E\\\" target=\\\"_blank\\\" rel=\\\"noopener noreferrer\\\" data-auth=\\\"NotApplicable\\\" data-linkindex=\\\"1\\\" data-ogsc=\\\"\\\">free specialty tours</a>\\u00a0of Slater Mill at 10:30 AM, 12:30 PM, and 2:30 PM.</div>\\n<div data-ogsc=\\\"black\\\">\\u00a0</div>\\n<div data-ogsc=\\\"black\\\">The Visitor Center will be open 10 AM - 4 PM.\\u00a0</div>\\n<div data-ogsc=\\\"black\\\">\\u00a0</div>\\n<div data-ogsc=\\\"rgb(200, 38, 19)\\\">\\u00a0</div>\\n<div data-ogsc=\\\"black\\\">Free\\u00a0and open to all and family friendly! Please bring your own chair or blanket. Limited seating available.\\u00a0</div>\\n</div>\",\n      \"location\": \"\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"New and Dangerous Opinions of Roger Williams\",\n      \"description\": \"<p><strong>Enjoy a free performance by the acclaimed Aurea Ensemble inside Slater Mill.</strong></p>\\n<p><em>Aurea members are equally inspired by each other\\u2019s artistry and seek to create a new genre of performance, melding words, and music thematically in a highly collaborative spirit.</em></p>\\n<p>The program \\u201cNew and Dangerous Opinions of Roger Williams\\\" fuses writings of Roger Williams and Native American poetry, underscored by music of Handel, Orlando di Lasso, and Rhode Island\\u2019s own Chris Turner, and John Milton (whose son, the famous poet of the same name, was a friend and philosophical inspiration to Roger Williams.) This lively program, set in the dramatic political and philosophical fray of colonial RI, introduces audiences to the strong-minded iconoclast, Roger Williams and his deep respect for Native American culture.</p>\\n<p>Presented with special thanks to Blackstone River Valley National Historical Park, Blackstone River Valley National Heritage Corridor, and the Pawtucket Arts Festival.</p>\\n<p><strong>Important Information:</strong></p>\\n<p>This event is accessible.</p>\\n<p>The concert will be taking place inside of Slater Mill on the second floor. An elevator is available.</p>\\n<p><strong>R</strong><strong>egistration is required</strong>\\u00a0for this free concert. Seating is limited and it is likely to be a full house. If you are unable to attend please cancel your registration on Eventbrite as soon as possible.</p>\\n<p><strong>On the day of the event,</strong><strong>\\u00a0</strong>doors open at 3:30pm, and you will forfeit your seat if have not checked in by 3:45. There will be a wait list sign-in at the door for those who did not register and hoping to attend. Thank you.</p>\\n<p>The doors will be shut at 4:00 PM for the beginning of the performance.</p>\\n<p>Learn more about Aurea here:\\u00a0<a title=\\\"https://aureaensemble.org/\\\" href=\\\"https://aureaensemble.org/\\\" target=\\\"_blank\\\" rel=\\\"nofollow noopener noreferrer\\\" data-msys-clicktrack=\\\"0\\\">https://aureaensemble.org/</a></p>\",\n      \"location\": \"67 Roosevelt Avenue, Pawtucket, RI 02860\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    }\n  ]\n}"
  Tool Call ID: call_bUilpcpBgO7gRt0M4SYziGxI
- Role: tool, Content: "{\n  \"parkCode\": \"ROWI\",\n  \"totalEvents\": 5,\n  \"events\": [\n    {\n      \"title\": \"Roger Williams: The Separation of Church and State\",\n      \"description\": \"<p>A cornerstone of our democracy, Roger Williams established a clear limit to government authority. Join a National Park Service ranger as we explore the principles of freedom put into practice by Roger Williams and that changed the course of history.</p>\\n<p>The National Park Service is America's largest classroom. These free programs are part of a comprehenisve experience about Roger Williams's contributions to the principles of freedom in America today. Explore your National Memorial today!\\u00a0</p>\",\n      \"location\": \"The program begins at the historical well\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Roger Williams: The Separation of Church and State\",\n      \"description\": \"<p>A cornerstone of our democracy, Roger Williams established a clear limit to government authority. Join a National Park Service ranger as we explore the principles of freedom put into practice by Roger Williams and that changed\\u00a0the\\u00a0course of history.</p>\\n<p>The National Park Service is America's largest classroom. These free programs are part of a comprehenisve experience about Roger Williams's contributions to the principles of freedom in America today. Explore your National Memorial today!\\u00a0</p>\",\n      \"location\": \"\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Lunchtime Arts in the Park\",\n      \"description\": \"<p><strong>The Same Thing Project </strong>is a \\u201ccommunity songwriting\\u201d workshop for people from all walks of life. Musicians, artists, students, teachers, retired folks, neurodiverse, differently-abled, blue and white-collar workers participate every week in writing a song. The Same Thing Project provides a place where you don\\u2019t have to be skilled at a musical instrument in order to be musical. It\\u2019s a space where you can be part of a creative community that is open, nonjudgmental and encouraging. \\u00a0Connection is created and isolation is reduced.</p>\",\n      \"location\": \"\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Roger Williams National Memorial 60th Anniversary Celebration\",\n      \"description\": \"<p>Join us as we celebrate the 60th Anniversary of the establishment of Roger Williams National Memorial. There will be remarks, musical performances, and a look into one of our newest programs (still in development) about the first steward of the land that was to become the National Memorial. This program is called, The Hahn's of Providence, A Memorial Legacy. This program was made possible in part by the National Parks Foundation.</p>\",\n      \"location\": \"\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    },\n    {\n      \"title\": \"Trivia Night!\",\n      \"description\": \"<p>Join us for Trivia Night at Roger Williams National Memorial!</p>\\n<p>This family-friendly event will be held outdoors, weather permitting. Bring your own food, non-alcoholic drinks, and blankets or chairs. Dogs are welcome on a leash. Come with a team or join one when you get here!</p>\\n<p>Roger Williams National Memorial is located at 282 North Main Street in Providence.\\u00a0</p>\",\n      \"location\": \"\",\n      \"dateStart\": \"\",\n      \"dateEnd\": \"\",\n      \"timeStart\": \"\",\n      \"timeEnd\": \"\",\n      \"feeInfo\": \"\",\n      \"isRecurring\": false,\n      \"parkCode\": \"\"\n    }\n  ]\n}"
  Tool Call ID: call_A8m1Jy67aMbMjRejREGLDrBw
- Role: tool, Content: "{\"parkCode\": \"TOSY\", \"message\": \"No upcoming events found for this park\"}"
  Tool Call ID: call_jfmuR8FidmDlm5QnYiMQaVCd
- Role: tool, Content: "{\"parkCode\": \"WARO\", \"message\": \"No upcoming events found for this park\"}"
  Tool Call ID: call_iCFEqpuWg29SgDMjeHfBAkt6
--------------------------------------

--- Invoking chain... ---
Traceback (most recent call last):
  File "/Users/bmurdock/sample-agent/langchain-issue.py", line 103, in <module>
    asyncio.run(main())
  File "/Users/bmurdock/.pyenv/versions/3.12.9/lib/python3.12/asyncio/runners.py", line 195, in run
    return runner.run(main)
           ^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/.pyenv/versions/3.12.9/lib/python3.12/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/.pyenv/versions/3.12.9/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete
    return future.result()
           ^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/langchain-issue.py", line 99, in main
    await run_llm_with_tools(llm, query)
  File "/Users/bmurdock/sample-agent/langchain-issue.py", line 53, in run_llm_with_tools
    ai_message = await chain.ainvoke({})
                 ^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 3091, in ainvoke
    input_ = await coro_with_context(part(), context, create_task=True)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 5454, in ainvoke
    return await self.bound.ainvoke(
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 405, in ainvoke
    llm_result = await self.agenerate_prompt(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1017, in agenerate_prompt
    return await self.agenerate(
           ^^^^^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 975, in agenerate
    raise exceptions[0]
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1145, in _agenerate_with_cache
    result = await self._agenerate(
             ^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/langchain_openai/chat_models/base.py", line 1402, in _agenerate
    response = await self.root_async_client.responses.create(**payload)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/openai/resources/responses/responses.py", line 2000, in create
    return await self._post(
           ^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/openai/_base_client.py", line 1791, in post
    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/bmurdock/sample-agent/venv-3_12_9/lib/python3.12/site-packages/openai/_base_client.py", line 1591, in request
    raise self._make_status_error_from_response(err.response) from None
openai.BadRequestError: Error code: 400 - {'detail': 'Error code: 400 - {\'error\': {\'message\': "An assistant message with \'tool_calls\' must be followed by tool messages responding to each \'tool_call_id\'. The following tool_call_ids did not have response messages: call_bUilpcpBgO7gRt0M4SYziGxI", \'type\': \'invalid_request_error\', \'param\': \'messages.[5].role\', \'code\': None}}'}
```

Server logs:

```
INFO     2025-08-13 16:53:49,400 console_span_processor:28 telemetry: 20:53:49.400 [START] /v1/openai/v1/responses
INFO     2025-08-13 16:53:49,999 llama_stack.providers.inline.agents.meta_reference.openai_responses:547 openai_responses: Exiting inference loop
         since there is a function (client-side) tool call
INFO     2025-08-13 16:53:50,007 uvicorn.access:473 uncategorized: ::1:63462 - "POST /v1/openai/v1/responses HTTP/1.1" 200
INFO     2025-08-13 16:53:50,010 console_span_processor:42 telemetry: 20:53:50.009 [END] /v1/openai/v1/responses [StatusCode.OK] (608.94ms)
INFO     2025-08-13 16:53:50,011 console_span_processor:65 telemetry:  20:53:50.002 [INFO] Exiting inference loop since there is a function
         (client-side) tool call
INFO     2025-08-13 16:53:50,012 console_span_processor:65 telemetry:  20:53:50.008 [INFO] ::1:63462 - "POST /v1/openai/v1/responses HTTP/1.1" 200
INFO     2025-08-13 16:53:50,472 console_span_processor:28 telemetry: 20:53:50.472 [START] /v1/openai/v1/responses
INFO     2025-08-13 16:53:52,667 llama_stack.providers.inline.agents.meta_reference.openai_responses:547 openai_responses: Exiting inference loop
         since there is a function (client-side) tool call
INFO     2025-08-13 16:53:52,671 uvicorn.access:473 uncategorized: ::1:63462 - "POST /v1/openai/v1/responses HTTP/1.1" 200
INFO     2025-08-13 16:53:52,673 console_span_processor:42 telemetry: 20:53:52.672 [END] /v1/openai/v1/responses [StatusCode.OK] (2199.78ms)
INFO     2025-08-13 16:53:52,673 console_span_processor:65 telemetry:  20:53:52.668 [INFO] Exiting inference loop since there is a function
         (client-side) tool call
INFO     2025-08-13 16:53:52,674 console_span_processor:65 telemetry:  20:53:52.672 [INFO] ::1:63462 - "POST /v1/openai/v1/responses HTTP/1.1" 200
INFO     2025-08-13 16:53:54,950 console_span_processor:28 telemetry: 20:53:54.950 [START] /v1/openai/v1/responses
ERROR    2025-08-13 16:53:55,614 __main__:244 server: Error executing endpoint route='/v1/openai/v1/responses' method='post': Error code: 400 -
         {'error': {'message': "An assistant message with 'tool_calls' must be followed by tool messages responding to each 'tool_call_id'. The
         following tool_call_ids did not have response messages: call_bUilpcpBgO7gRt0M4SYziGxI", 'type': 'invalid_request_error', 'param':
         'messages.[5].role', 'code': None}}
INFO     2025-08-13 16:53:55,616 uvicorn.access:473 uncategorized: ::1:63462 - "POST /v1/openai/v1/responses HTTP/1.1" 400
INFO     2025-08-13 16:53:55,623 console_span_processor:42 telemetry: 20:53:55.621 [END] /v1/openai/v1/responses [StatusCode.OK] (670.80ms)
INFO     2025-08-13 16:53:55,624 console_span_processor:65 telemetry:  20:53:55.616 [ERROR] Error executing endpoint route='/v1/openai/v1/responses'
         method='post': Error code: 400 - {'error': {'message': "An assistant message with 'tool_calls' must be followed by tool messages responding
         to each 'tool_call_id'. The following tool_call_ids did not have response messages: call_bUilpcpBgO7gRt0M4SYziGxI", 'type':
         'invalid_request_error', 'param': 'messages.[5].role', 'code': None}}
INFO     2025-08-13 16:53:55,625 console_span_processor:65 telemetry:  20:53:55.617 [INFO] ::1:63462 - "POST /v1/openai/v1/responses HTTP/1.1" 400
```

### Expected behavior

I get a valid response from the model.


Discussion:
BTW, one theory I was running down is that this tool is generating a fairly big output and maybe it is overloading the capacity and getting discarded.  So I tried taking LangChain out of the loop and just testing whether Llama Stack can handle huge tool call results.  That seems to work without error, so I think the size of the output is probably not the issue here.  I could be wrong though.  Anyway, here is that test code for reference:

```
from llama_stack_client import LlamaStackClient
import json

LLAMA_STACK_MODEL_ID = "gpt-4o"
client = LlamaStackClient(base_url="http://localhost:8321")

def get_temperature_simple(id: int):
    return {"temperature": 20}

def get_temperature_with_metadata(id: int):
    return {"temperature": 20, "metadata": [{"id": id, "name": "server_temperature"}] * 5000}

TOOLS=[
    {
        "type": "function",
        "name": "get_temperature",
        "description": "Get the temperature of the server in degrees Celsius",
        "parameters": {
            "type": "object",
            "properties": {
                "id": {"type": "number", "description": "The server id"},
            },
            "required": ["id"],
        },
    }
]

# Code based on https://platform.openai.com/docs/guides/function-calling

def run_agent(client, user_input, get_temperature_function):
    input_list = [
        {"role": "user", "content": user_input}
    ]

    response = client.responses.create(
        model=LLAMA_STACK_MODEL_ID,
        tools=TOOLS,
        input=input_list,
    )

    # Save function call outputs for subsequent requests
    function_call = None
    function_call_arguments = None
    input_list += response.output

    for item in response.output:
        if item.type == "function_call":
            function_call = item
            function_call_arguments = json.loads(item.arguments)
            result = get_temperature_function(function_call_arguments["id"])
            print("Tool result:")
            print(result)
            input_list.append({
                "type": "function_call_output",
                "call_id": function_call.call_id,
                "output": json.dumps(result),
            })
            print("Final input:")
            print(input_list)

    response = client.responses.create(
        model=LLAMA_STACK_MODEL_ID,
        instructions="Respond only with information from the tool.",
        tools=TOOLS,
        input=input_list,
    )

    # 5. The model should be able to give a response!
    print("Final output:")
    print(response.model_dump_json(indent=2))
    print("\n" + response.output_text)


run_agent(client, "Tell me about the temperature of server 83.", get_temperature_simple)
run_agent(client, "Tell me about the temperature of server 83.", get_temperature_with_metadata)
```

Notice that the second call has 5000 redundant metadata entries, making it pretty big.  It is slow, but works fine.



Patch:
diff --git a/llama_stack/providers/inline/agents/meta_reference/responses/utils.py b/llama_stack/providers/inline/agents/meta_reference/responses/utils.py
index 486ac9351f..7aaeb4cd5a 100644
--- a/llama_stack/providers/inline/agents/meta_reference/responses/utils.py
+++ b/llama_stack/providers/inline/agents/meta_reference/responses/utils.py
@@ -101,14 +101,22 @@ async def convert_response_input_to_chat_messages(
     """
     messages: list[OpenAIMessageParam] = []
     if isinstance(input, list):
+        # extract all OpenAIResponseInputFunctionToolCallOutput items
+        # so their corresponding OpenAIToolMessageParam instances can
+        # be added immediately following the corresponding
+        # OpenAIAssistantMessageParam
+        tool_call_results = {}
         for input_item in input:
             if isinstance(input_item, OpenAIResponseInputFunctionToolCallOutput):
-                messages.append(
-                    OpenAIToolMessageParam(
-                        content=input_item.output,
-                        tool_call_id=input_item.call_id,
-                    )
+                tool_call_results[input_item.call_id] = OpenAIToolMessageParam(
+                    content=input_item.output,
+                    tool_call_id=input_item.call_id,
                 )
+
+        for input_item in input:
+            if isinstance(input_item, OpenAIResponseInputFunctionToolCallOutput):
+                # skip as these have been extracted and inserted in order
+                pass
             elif isinstance(input_item, OpenAIResponseOutputMessageFunctionToolCall):
                 tool_call = OpenAIChatCompletionToolCall(
                     index=0,
@@ -119,6 +127,9 @@ async def convert_response_input_to_chat_messages(
                     ),
                 )
                 messages.append(OpenAIAssistantMessageParam(tool_calls=[tool_call]))
+                if input_item.call_id in tool_call_results:
+                    messages.append(tool_call_results[input_item.call_id])
+                    del tool_call_results[input_item.call_id]
             elif isinstance(input_item, OpenAIResponseOutputMessageMCPCall):
                 tool_call = OpenAIChatCompletionToolCall(
                     index=0,
@@ -146,6 +157,10 @@ async def convert_response_input_to_chat_messages(
                         f"Llama Stack OpenAI Responses does not yet support message role '{input_item.role}' in this context"
                     )
                 messages.append(message_type(content=content))
+        if len(tool_call_results):
+            raise ValueError(
+                f"Received function_call_output(s) with call_id(s) {tool_call_results.keys()}, but no corresponding function_call"
+            )
     else:
         messages.append(OpenAIUserMessageParam(content=input))
     return messages


Test patch:
diff --git a/tests/integration/non_ci/responses/test_tool_responses.py b/tests/integration/non_ci/responses/test_tool_responses.py
index 494b892268..c5c9e6fc18 100644
--- a/tests/integration/non_ci/responses/test_tool_responses.py
+++ b/tests/integration/non_ci/responses/test_tool_responses.py
@@ -260,6 +260,94 @@ def test_response_non_streaming_custom_tool(compat_client, text_model_id, case):
     assert response.output[0].name == "get_weather"
 
 
+@pytest.mark.parametrize("case", custom_tool_test_cases)
+def test_response_function_call_ordering_1(compat_client, text_model_id, case):
+    response = compat_client.responses.create(
+        model=text_model_id,
+        input=case.input,
+        tools=case.tools,
+        stream=False,
+    )
+    assert len(response.output) == 1
+    assert response.output[0].type == "function_call"
+    assert response.output[0].status == "completed"
+    assert response.output[0].name == "get_weather"
+    inputs = []
+    inputs.append(
+        {
+            "role": "user",
+            "content": case.input,
+        }
+    )
+    inputs.append(
+        {
+            "type": "function_call_output",
+            "output": "It is raining.",
+            "call_id": response.output[0].call_id,
+        }
+    )
+    response = compat_client.responses.create(
+        model=text_model_id, input=inputs, tools=case.tools, stream=False, previous_response_id=response.id
+    )
+    assert len(response.output) == 1
+
+
+def test_response_function_call_ordering_2(compat_client, text_model_id):
+    tools = [
+        {
+            "type": "function",
+            "name": "get_weather",
+            "description": "Get current temperature for a given location.",
+            "parameters": {
+                "additionalProperties": False,
+                "properties": {
+                    "location": {
+                        "description": "City and country e.g. Bogotá, Colombia",
+                        "type": "string",
+                    }
+                },
+                "required": ["location"],
+                "type": "object",
+            },
+        }
+    ]
+    inputs = [
+        {
+            "role": "user",
+            "content": "Is the weather better in San Francisco or Los Angeles?",
+        }
+    ]
+    response = compat_client.responses.create(
+        model=text_model_id,
+        input=inputs,
+        tools=tools,
+        stream=False,
+    )
+    for output in response.output:
+        if output.type == "function_call" and output.status == "completed" and output.name == "get_weather":
+            inputs.append(output)
+    for output in response.output:
+        if output.type == "function_call" and output.status == "completed" and output.name == "get_weather":
+            weather = "It is raining."
+            if "Los Angeles" in output.arguments:
+                weather = "It is cloudy."
+            inputs.append(
+                {
+                    "type": "function_call_output",
+                    "output": weather,
+                    "call_id": output.call_id,
+                }
+            )
+    response = compat_client.responses.create(
+        model=text_model_id,
+        input=inputs,
+        tools=tools,
+        stream=False,
+    )
+    assert len(response.output) == 1
+    assert "Los Angeles" in response.output_text
+
+
 @pytest.mark.parametrize("case", multi_turn_tool_execution_test_cases)
 def test_response_non_streaming_multi_turn_tool_execution(compat_client, text_model_id, case):
     """Test multi-turn tool execution where multiple MCP tool calls are performed in sequence."""
diff --git a/tests/unit/providers/agents/meta_reference/test_response_conversion_utils.py b/tests/unit/providers/agents/meta_reference/test_response_conversion_utils.py
index 1b9657484e..187540f82f 100644
--- a/tests/unit/providers/agents/meta_reference/test_response_conversion_utils.py
+++ b/tests/unit/providers/agents/meta_reference/test_response_conversion_utils.py
@@ -115,18 +115,27 @@ async def test_convert_string_input(self):
 
     async def test_convert_function_tool_call_output(self):
         input_items = [
+            OpenAIResponseOutputMessageFunctionToolCall(
+                call_id="call_123",
+                name="test_function",
+                arguments='{"param": "value"}',
+            ),
             OpenAIResponseInputFunctionToolCallOutput(
                 output="Tool output",
                 call_id="call_123",
-            )
+            ),
         ]
 
         result = await convert_response_input_to_chat_messages(input_items)
 
-        assert len(result) == 1
-        assert isinstance(result[0], OpenAIToolMessageParam)
-        assert result[0].content == "Tool output"
-        assert result[0].tool_call_id == "call_123"
+        assert len(result) == 2
+        assert isinstance(result[0], OpenAIAssistantMessageParam)
+        assert result[0].tool_calls[0].id == "call_123"
+        assert result[0].tool_calls[0].function.name == "test_function"
+        assert result[0].tool_calls[0].function.arguments == '{"param": "value"}'
+        assert isinstance(result[1], OpenAIToolMessageParam)
+        assert result[1].content == "Tool output"
+        assert result[1].tool_call_id == "call_123"
 
     async def test_convert_function_tool_call(self):
         input_items = [
@@ -146,6 +155,47 @@ async def test_convert_function_tool_call(self):
         assert result[0].tool_calls[0].function.name == "test_function"
         assert result[0].tool_calls[0].function.arguments == '{"param": "value"}'
 
+    async def test_convert_function_call_ordering(self):
+        input_items = [
+            OpenAIResponseOutputMessageFunctionToolCall(
+                call_id="call_123",
+                name="test_function_a",
+                arguments='{"param": "value"}',
+            ),
+            OpenAIResponseOutputMessageFunctionToolCall(
+                call_id="call_456",
+                name="test_function_b",
+                arguments='{"param": "value"}',
+            ),
+            OpenAIResponseInputFunctionToolCallOutput(
+                output="AAA",
+                call_id="call_123",
+            ),
+            OpenAIResponseInputFunctionToolCallOutput(
+                output="BBB",
+                call_id="call_456",
+            ),
+        ]
+
+        result = await convert_response_input_to_chat_messages(input_items)
+        assert len(result) == 4
+        assert isinstance(result[0], OpenAIAssistantMessageParam)
+        assert len(result[0].tool_calls) == 1
+        assert result[0].tool_calls[0].id == "call_123"
+        assert result[0].tool_calls[0].function.name == "test_function_a"
+        assert result[0].tool_calls[0].function.arguments == '{"param": "value"}'
+        assert isinstance(result[1], OpenAIToolMessageParam)
+        assert result[1].content == "AAA"
+        assert result[1].tool_call_id == "call_123"
+        assert isinstance(result[2], OpenAIAssistantMessageParam)
+        assert len(result[2].tool_calls) == 1
+        assert result[2].tool_calls[0].id == "call_456"
+        assert result[2].tool_calls[0].function.name == "test_function_b"
+        assert result[2].tool_calls[0].function.arguments == '{"param": "value"}'
+        assert isinstance(result[3], OpenAIToolMessageParam)
+        assert result[3].content == "BBB"
+        assert result[3].tool_call_id == "call_456"
+
     async def test_convert_response_message(self):
         input_items = [
             OpenAIResponseMessage(