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fix: Ensure that tool calls with no arguments get handled correctly (#3560)

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# What does this PR do?
When a model decides to use an MCP tool call that requires no arguments,
it sets the `arguments` field to `None`. This causes the user to see a
`400 bad requst error` due to validation errors down the stack because
this field gets removed when being parsed by an openai compatible
inference provider like vLLM
This PR ensures that, as soon as the tool call args are accumulated
while streaming, we check to ensure no tool call function arguments are
set to None - if they are we replace them with "{}"

<!-- If resolving an issue, uncomment and update the line below -->
Closes #3456

## Test Plan
Added new unit test to verify that any tool calls with function
arguments set to `None` get handled correctly

---------

Signed-off-by: Jaideep Rao <jrao@redhat.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
This commit is contained in:
Jaideep Rao 2025-10-01 08:36:57 -04:00 • committed by GitHub
parent 42414a1a1b
commit ca47d90926
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GPG key ID: B5690EEEBB952194
51 changed files with 11061 additions and 10200 deletions
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5
llama_stack/providers/inline/agents/meta_reference/responses/streaming.py
View file

@ -355,8 +355,11 @@ class StreamingResponseOrchestrator:
# Emit arguments.done events for completed tool calls (differentiate between MCP and function calls)
for tool_call_index in sorted(chat_response_tool_calls.keys()):
tool_call = chat_response_tool_calls[tool_call_index]
# Ensure that arguments, if sent back to the inference provider, are not None
tool_call.function.arguments = tool_call.function.arguments or "{}"
tool_call_item_id = tool_call_item_ids[tool_call_index]
final_arguments = chat_response_tool_calls[tool_call_index].function.arguments or ""
final_arguments = tool_call.function.arguments
tool_call_name = chat_response_tool_calls[tool_call_index].function.name
# Check if this is an MCP tool call

33
tests/integration/agents/test_openai_responses.py
View file

@ -264,3 +264,36 @@ def test_function_call_output_response(openai_client, client_with_models, text_m
assert (
"sunny" in response2.output[0].content[0].text.lower() or "warm" in response2.output[0].content[0].text.lower()
)
def test_function_call_output_response_with_none_arguments(openai_client, client_with_models, text_model_id):
"""Test handling of function call outputs in responses when function does not accept arguments."""
if isinstance(client_with_models, LlamaStackAsLibraryClient):
pytest.skip("OpenAI responses are not supported when testing with library client yet.")
client = openai_client
# First create a response that triggers a function call
response = client.responses.create(
model=text_model_id,
input=[
{
"role": "user",
"content": "what's the current time? You MUST call the `get_current_time` function to find out.",
}
],
tools=[
{
"type": "function",
"name": "get_current_time",
"description": "Get the current time",
"parameters": {},
}
],
stream=False,
)
# Verify we got a function call
assert response.output[0].type == "function_call"
assert response.output[0].arguments == "{}"
_ = response.output[0].call_id

4
tests/integration/recordings/responses/05e3ebc68306.json
View file

@ -21,7 +21,7 @@
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "chatcmpl-618",
"id": "chatcmpl-447",
"choices": [
{
"finish_reason": "stop",
@ -38,7 +38,7 @@
}
}
],
"created": 1759245078,
"created": 1759282456,
"model": "llama-guard3:1b",
"object": "chat.completion",
"service_tier": null,

10
tests/integration/recordings/responses/0b27fd737699.json
View file

@ -20,15 +20,15 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama-guard3:1b",
"created_at": "2025-09-03T17:37:47.461886Z",
"created_at": "2025-09-30T17:37:24.035083658Z",
"done": true,
"done_reason": "stop",
"total_duration": 338927833,
"load_duration": 100895125,
"total_duration": 2990785181,
"load_duration": 52933018,
"prompt_eval_count": 223,
"prompt_eval_duration": 221583042,
"prompt_eval_duration": 2884018743,
"eval_count": 2,
"eval_duration": 12341416,
"eval_duration": 53216446,
"response": "safe",
"thinking": null,
"context": null

32
tests/integration/recordings/responses/0b3f2e4754ff.json
View file

@ -24,7 +24,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-414",
"id": "chatcmpl-106",
"choices": [
{
"delta": {
@ -39,7 +39,7 @@
"logprobs": null
}
],
"created": 1756921333,
"created": 1759254065,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -50,7 +50,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-414",
"id": "chatcmpl-106",
"choices": [
{
"delta": {
@ -65,7 +65,7 @@
"logprobs": null
}
],
"created": 1756921333,
"created": 1759254066,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -76,7 +76,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-414",
"id": "chatcmpl-106",
"choices": [
{
"delta": {
@ -91,7 +91,7 @@
"logprobs": null
}
],
"created": 1756921333,
"created": 1759254066,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -102,7 +102,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-414",
"id": "chatcmpl-106",
"choices": [
{
"delta": {
@ -117,7 +117,7 @@
"logprobs": null
}
],
"created": 1756921333,
"created": 1759254066,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -128,7 +128,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-414",
"id": "chatcmpl-106",
"choices": [
{
"delta": {
@ -143,7 +143,7 @@
"logprobs": null
}
],
"created": 1756921334,
"created": 1759254066,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -154,7 +154,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-414",
"id": "chatcmpl-106",
"choices": [
{
"delta": {
@ -169,7 +169,7 @@
"logprobs": null
}
],
"created": 1756921334,
"created": 1759254066,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -180,7 +180,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-414",
"id": "chatcmpl-106",
"choices": [
{
"delta": {
@ -195,7 +195,7 @@
"logprobs": null
}
],
"created": 1756921334,
"created": 1759254067,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -206,7 +206,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-414",
"id": "chatcmpl-106",
"choices": [
{
"delta": {
@ -221,7 +221,7 @@
"logprobs": null
}
],
"created": 1756921334,
"created": 1759254067,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,

32
tests/integration/recordings/responses/173ecb3aab28.json
View file

@ -40,7 +40,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-921",
"id": "chatcmpl-629",
"choices": [
{
"delta": {
@ -55,7 +55,7 @@
"logprobs": null
}
],
"created": 1756920971,
"created": 1759253815,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -66,7 +66,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-921",
"id": "chatcmpl-629",
"choices": [
{
"delta": {
@ -81,7 +81,7 @@
"logprobs": null
}
],
"created": 1756920971,
"created": 1759253815,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -92,7 +92,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-921",
"id": "chatcmpl-629",
"choices": [
{
"delta": {
@ -107,7 +107,7 @@
"logprobs": null
}
],
"created": 1756920971,
"created": 1759253815,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -118,7 +118,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-921",
"id": "chatcmpl-629",
"choices": [
{
"delta": {
@ -133,7 +133,7 @@
"logprobs": null
}
],
"created": 1756920971,
"created": 1759253816,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -144,7 +144,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-921",
"id": "chatcmpl-629",
"choices": [
{
"delta": {
@ -159,7 +159,7 @@
"logprobs": null
}
],
"created": 1756920971,
"created": 1759253816,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -170,7 +170,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-921",
"id": "chatcmpl-629",
"choices": [
{
"delta": {
@ -185,7 +185,7 @@
"logprobs": null
}
],
"created": 1756920971,
"created": 1759253816,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -196,7 +196,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-921",
"id": "chatcmpl-629",
"choices": [
{
"delta": {
@ -211,7 +211,7 @@
"logprobs": null
}
],
"created": 1756920971,
"created": 1759253816,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
@ -222,7 +222,7 @@
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-921",
"id": "chatcmpl-629",
"choices": [
{
"delta": {
@ -237,7 +237,7 @@
"logprobs": null
}
],
"created": 1756920971,
"created": 1759253816,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,

4
tests/integration/recordings/responses/1a4da7c94fde.json
View file

@ -21,7 +21,7 @@
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "chatcmpl-438",
"id": "chatcmpl-478",
"choices": [
{
"finish_reason": "stop",
@ -38,7 +38,7 @@
}
}
],
"created": 1759245073,
"created": 1759282396,
"model": "llama-guard3:1b",
"object": "chat.completion",
"service_tier": null,

34
tests/integration/recordings/responses/2afe3b38ca01.json
View file

@ -22,7 +22,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-09-03T17:37:50.436472Z",
"created_at": "2025-10-01T01:34:06.144961341Z",
"done": false,
"done_reason": null,
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@ -40,7 +40,7 @@
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208
tests/integration/recordings/responses/2d187a11704c.json
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2
tests/integration/recordings/responses/37706c1729ba.json
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10474
tests/integration/recordings/responses/4ebf08272d17.json
View file

File diff suppressed because it is too large Load diff

10
tests/integration/recordings/responses/50340cd4d253.json
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34
tests/integration/recordings/responses/545d86510a80.json
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46
tests/integration/recordings/responses/554de3cd986f.json
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34
tests/integration/recordings/responses/946376830d67.json
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tests/integration/recordings/responses/97d3812bfccb.json
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22
tests/integration/recordings/responses/d0ac68cbde69.json
View file

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tests/integration/recordings/responses/d7caf68e394e.json
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34
tests/integration/recordings/responses/dd226d71f844.json
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24
tests/integration/recordings/responses/decfd950646c.json
View file

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46
tests/integration/recordings/responses/eee47930e3ae.json
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50
tests/integration/recordings/responses/f477c2fe1332.json
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"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-09-03T17:42:32.130704Z",
"created_at": "2025-10-01T01:38:17.411442027Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -274,7 +274,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-09-03T17:42:32.172183Z",
"created_at": "2025-10-01T01:38:17.610203746Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -292,7 +292,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-09-03T17:42:32.21392Z",
"created_at": "2025-10-01T01:38:17.806756435Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -310,7 +310,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-09-03T17:42:32.255392Z",
"created_at": "2025-10-01T01:38:18.009202601Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -328,7 +328,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-09-03T17:42:32.297249Z",
"created_at": "2025-10-01T01:38:18.204934978Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -346,7 +346,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-09-03T17:42:32.341358Z",
"created_at": "2025-10-01T01:38:18.402371167Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -364,7 +364,7 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-09-03T17:42:32.384155Z",
"created_at": "2025-10-01T01:38:18.598001673Z",
"done": false,
"done_reason": null,
"total_duration": null,
@ -382,15 +382,15 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-09-03T17:42:32.426441Z",
"created_at": "2025-10-01T01:38:18.795317047Z",
"done": true,
"done_reason": "stop",
"total_duration": 1659557917,
"load_duration": 75341875,
"total_duration": 36201749155,
"load_duration": 41187586,
"prompt_eval_count": 375,
"prompt_eval_duration": 740178250,
"prompt_eval_duration": 32180468680,
"eval_count": 21,
"eval_duration": 843394541,
"eval_duration": 3979448369,
"response": "",
"thinking": null,
"context": null

10
tests/integration/recordings/responses/fcdef245da95.json
View file

@ -20,15 +20,15 @@
"__type__": "ollama._types.GenerateResponse",
"__data__": {
"model": "llama-guard3:1b",
"created_at": "2025-09-03T17:37:44.986629Z",
"created_at": "2025-09-30T17:37:16.577132681Z",
"done": true,
"done_reason": "stop",
"total_duration": 285693167,
"load_duration": 110888542,
"total_duration": 4644975499,
"load_duration": 1639168216,
"prompt_eval_count": 212,
"prompt_eval_duration": 163158250,
"prompt_eval_duration": 2946622894,
"eval_count": 2,
"eval_duration": 11080125,
"eval_duration": 58451208,
"response": "safe",
"thinking": null,
"context": null

42
tests/integration/recordings/responses/models-bd032f995f2a-abd54ea0.json Normal file
View file

@ -0,0 +1,42 @@
{
"request": {
"method": "POST",
"url": "http://0.0.0.0:11434/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "llama-guard3:1b",
"created": 1753937098,
"object": "model",
"owned_by": "library"
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "all-minilm:l6-v2",
"created": 1753936935,
"object": "model",
"owned_by": "library"
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "llama3.2:3b-instruct-fp16",
"created": 1753936925,
"object": "model",
"owned_by": "library"
}
}
],
"is_streaming": false
}
}

126
tests/unit/providers/agents/meta_reference/test_openai_responses.py
View file

@ -327,6 +327,132 @@ async def test_create_openai_response_with_tool_call_type_none(openai_responses_
assert chunks[5].response.output[0].name == "get_weather"
async def test_create_openai_response_with_tool_call_function_arguments_none(openai_responses_impl, mock_inference_api):
"""Test creating an OpenAI response with a tool call response that has a function that does not accept arguments, or arguments set to None when they are not mandatory."""
# Setup
input_text = "What is the time right now?"
model = "meta-llama/Llama-3.1-8B-Instruct"
async def fake_stream_toolcall():
yield ChatCompletionChunk(
id="123",
choices=[
Choice(
index=0,
delta=ChoiceDelta(
tool_calls=[
ChoiceDeltaToolCall(
index=0,
id="tc_123",
function=ChoiceDeltaToolCallFunction(name="get_current_time", arguments=None),
type=None,
)
]
),
),
],
created=1,
model=model,
object="chat.completion.chunk",
)
mock_inference_api.openai_chat_completion.return_value = fake_stream_toolcall()
# Function does not accept arguments
result = await openai_responses_impl.create_openai_response(
input=input_text,
model=model,
stream=True,
temperature=0.1,
tools=[
OpenAIResponseInputToolFunction(
name="get_current_time",
description="Get current time for system's timezone",
parameters={},
)
],
)
# Check that we got the content from our mocked tool execution result
chunks = [chunk async for chunk in result]
# Verify event types
# Should have: response.created, output_item.added, function_call_arguments.delta,
# function_call_arguments.done, output_item.done, response.completed
assert len(chunks) == 5
# Verify inference API was called correctly (after iterating over result)
first_call = mock_inference_api.openai_chat_completion.call_args_list[0]
assert first_call.kwargs["messages"][0].content == input_text
assert first_call.kwargs["tools"] is not None
assert first_call.kwargs["temperature"] == 0.1
# Check response.created event (should have empty output)
assert chunks[0].type == "response.created"
assert len(chunks[0].response.output) == 0
# Check streaming events
assert chunks[1].type == "response.output_item.added"
assert chunks[2].type == "response.function_call_arguments.done"
assert chunks[3].type == "response.output_item.done"
# Check response.completed event (should have the tool call with arguments set to "{}")
assert chunks[4].type == "response.completed"
assert len(chunks[4].response.output) == 1
assert chunks[4].response.output[0].type == "function_call"
assert chunks[4].response.output[0].name == "get_current_time"
assert chunks[4].response.output[0].arguments == "{}"
mock_inference_api.openai_chat_completion.return_value = fake_stream_toolcall()
# Function accepts optional arguments
result = await openai_responses_impl.create_openai_response(
input=input_text,
model=model,
stream=True,
temperature=0.1,
tools=[
OpenAIResponseInputToolFunction(
name="get_current_time",
description="Get current time for system's timezone",
parameters={
"timezone": "string",
},
)
],
)
# Check that we got the content from our mocked tool execution result
chunks = [chunk async for chunk in result]
# Verify event types
# Should have: response.created, output_item.added, function_call_arguments.delta,
# function_call_arguments.done, output_item.done, response.completed
assert len(chunks) == 5
# Verify inference API was called correctly (after iterating over result)
first_call = mock_inference_api.openai_chat_completion.call_args_list[0]
assert first_call.kwargs["messages"][0].content == input_text
assert first_call.kwargs["tools"] is not None
assert first_call.kwargs["temperature"] == 0.1
# Check response.created event (should have empty output)
assert chunks[0].type == "response.created"
assert len(chunks[0].response.output) == 0
# Check streaming events
assert chunks[1].type == "response.output_item.added"
assert chunks[2].type == "response.function_call_arguments.done"
assert chunks[3].type == "response.output_item.done"
# Check response.completed event (should have the tool call with arguments set to "{}")
assert chunks[4].type == "response.completed"
assert len(chunks[4].response.output) == 1
assert chunks[4].response.output[0].type == "function_call"
assert chunks[4].response.output[0].name == "get_current_time"
assert chunks[4].response.output[0].arguments == "{}"
async def test_create_openai_response_with_multiple_messages(openai_responses_impl, mock_inference_api):
"""Test creating an OpenAI response with multiple messages."""
# Setup