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fix: don't pass default response format in Responses (#3614)

Browse source 
# What does this PR do?
Fireworks doesn't allow repsonse_format with tool use. The default
response format is 'text' anyway, so we can safely omit.


## Test Plan
Below script failed without the change, runs after.

```
#!/usr/bin/env python3
"""
Script to test Responses API with kubernetes-mcp-server.

This script:
1. Connects to the llama stack server
2. Uses the Responses API with MCP tools
3. Asks for the list of Kubernetes namespaces using the kubernetes-mcp-server
"""

import json

from openai import OpenAI

# Connect to the llama stack server
base_url = "http://localhost:8321/v1"
client = OpenAI(base_url=base_url, api_key="fake")

# Define the MCP tool pointing to the kubernetes-mcp-server
# The kubernetes-mcp-server is running on port 3000 with SSE endpoint at /sse
mcp_server_url = "http://localhost:3000/sse"

tools = [
    {
        "type": "mcp",
        "server_label": "k8s",
        "server_url": mcp_server_url,
    }
]

# Create a response request asking for k8s namespaces
print("Sending request to list Kubernetes namespaces...")
print(f"Using MCP server at: {mcp_server_url}")
print("Available tools will be listed automatically by the MCP server.")
print()

response = client.responses.create(
    # model="meta-llama/Llama-3.2-3B-Instruct",  # Using the vllm model
    model="fireworks/accounts/fireworks/models/llama4-scout-instruct-basic",
    # model="openai/gpt-4o",
    input="what are all the Kubernetes namespaces? Use tool call to `namespaces_list`. make sure to adhere to the tool calling format UNDER ALL CIRCUMSTANCES.",
    tools=tools,
    stream=False,
)

print("\n" + "=" * 80)
print("RESPONSE OUTPUT:")
print("=" * 80)

# Print the output
for i, output in enumerate(response.output):
    print(f"\n[Output {i + 1}] Type: {output.type}")
    if output.type == "mcp_list_tools":
        print(f"  Server: {output.server_label}")
        print(f"  Tools available: {[t.name for t in output.tools]}")
    elif output.type == "mcp_call":
        print(f"  Tool called: {output.name}")
        print(f"  Arguments: {output.arguments}")
        print(f"  Result: {output.output}")
        if output.error:
            print(f"  Error: {output.error}")
    elif output.type == "message":
        print(f"  Role: {output.role}")
        print(f"  Content: {output.content}")

print("\n" + "=" * 80)
print("FINAL RESPONSE TEXT:")
print("=" * 80)
print(response.output_text)
```
This commit is contained in:
ehhuang 2025-09-30 14:52:24 -07:00 • committed by GitHub
parent d350e3662b
commit ac7c35fbe6
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GPG key ID: B5690EEEBB952194
10 changed files with 7573 additions and 89 deletions
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5
llama_stack/providers/inline/agents/meta_reference/responses/streaming.py
View file

@ -129,13 +129,16 @@ class StreamingResponseOrchestrator:
messages = self.ctx.messages.copy()
while True:
# Text is the default response format for chat completion so don't need to pass it
# (some providers don't support non-empty response_format when tools are present)
response_format = None if self.ctx.response_format.type == "text" else self.ctx.response_format
completion_result = await self.inference_api.openai_chat_completion(
model=self.ctx.model,
messages=messages,
tools=self.ctx.chat_tools,
stream=True,
temperature=self.ctx.temperature,
response_format=self.ctx.response_format,
response_format=response_format,
)
# Process streaming chunks and build complete response

6030
tests/integration/recordings/responses/4ebf08272d17.json Normal file
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106
tests/integration/recordings/responses/73e97be515d9.json Normal file
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@ -0,0 +1,106 @@
{
"request": {
"method": "POST",
"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "llama3.2:3b-instruct-fp16",
"messages": [
{
"role": "user",
"content": "What's the weather in Tokyo? YOU MUST USE THE get_weather function to get the weather."
}
],
"stream": true,
"tools": [
{
"type": "function",
"function": {
"type": "function",
"name": "get_weather",
"description": "Get the weather in a given city",
"parameters": {
"type": "object",
"properties": {
"city": {
"type": "string",
"description": "The city to get the weather for"
}
}
},
"strict": null
}
}
]
},
"endpoint": "/v1/chat/completions",
"model": "llama3.2:3b-instruct-fp16"
},
"response": {
"body": [
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-116",
"choices": [
{
"delta": {
"content": "",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": [
{
"index": 0,
"id": "call_0c2qffvv",
"function": {
"arguments": "{\"city\":\"Tokyo\"}",
"name": "get_weather"
},
"type": "function"
}
]
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759267492,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-116",
"choices": [
{
"delta": {
"content": "",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": "stop",
"index": 0,
"logprobs": null
}
],
"created": 1759267492,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
}
],
"is_streaming": true
}
}

248
tests/integration/recordings/responses/8aba89449cdc.json Normal file
View file

@ -0,0 +1,248 @@
{
"request": {
"method": "POST",
"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "llama3.2:3b-instruct-fp16",
"messages": [
{
"role": "user",
"content": "Message A: What is the capital of France?"
},
{
"role": "assistant",
"content": "The capital of France is Paris."
},
{
"role": "user",
"content": "Message B: What about Spain?"
},
{
"role": "assistant",
"content": "The capital of Spain is Madrid."
},
{
"role": "user",
"content": "Message C: And Italy?"
}
],
"stream": true
},
"endpoint": "/v1/chat/completions",
"model": "llama3.2:3b-instruct-fp16"
},
"response": {
"body": [
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-676",
"choices": [
{
"delta": {
"content": "The",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759267544,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-676",
"choices": [
{
"delta": {
"content": " capital",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759267544,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-676",
"choices": [
{
"delta": {
"content": " of",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759267544,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-676",
"choices": [
{
"delta": {
"content": " Italy",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759267544,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-676",
"choices": [
{
"delta": {
"content": " is",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759267544,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-676",
"choices": [
{
"delta": {
"content": " Rome",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759267544,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-676",
"choices": [
{
"delta": {
"content": ".",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759267544,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-676",
"choices": [
{
"delta": {
"content": "",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": "stop",
"index": 0,
"logprobs": null
}
],
"created": 1759267544,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
}
],
"is_streaming": true
}
}

232
tests/integration/recordings/responses/cf776b1aa432.json Normal file
View file

@ -0,0 +1,232 @@
{
"request": {
"method": "POST",
"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "llama3.2:3b-instruct-fp16",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
],
"stream": true
},
"endpoint": "/v1/chat/completions",
"model": "llama3.2:3b-instruct-fp16"
},
"response": {
"body": [
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-78",
"choices": [
{
"delta": {
"content": "The",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759259077,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-78",
"choices": [
{
"delta": {
"content": " capital",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759259077,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-78",
"choices": [
{
"delta": {
"content": " of",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759259077,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-78",
"choices": [
{
"delta": {
"content": " France",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759259077,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-78",
"choices": [
{
"delta": {
"content": " is",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759259077,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-78",
"choices": [
{
"delta": {
"content": " Paris",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
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"index": 0,
"logprobs": null
}
],
"created": 1759259077,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-78",
"choices": [
{
"delta": {
"content": ".",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1759259077,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-78",
"choices": [
{
"delta": {
"content": "",
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"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": "stop",
"index": 0,
"logprobs": null
}
],
"created": 1759259077,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
}
],
"is_streaming": true
}
}

16
tests/integration/recordings/responses/d0ac68cbde69.json
View file

@ -13,12 +13,12 @@
"__data__": {
"models": [
{
"model": "llama3.2:3b",
"name": "llama3.2:3b",
"digest": "a80c4f17acd55265feec403c7aef86be0c25983ab279d83f3bcd3abbcb5b8b72",
"expires_at": "2025-09-27T11:54:56.718552-07:00",
"size": 3367856128,
"size_vram": 3367856128,
"model": "llama3.2:3b-instruct-fp16",
"name": "llama3.2:3b-instruct-fp16",
"digest": "195a8c01d91ec3cb1e0aad4624a51f2602c51fa7d96110f8ab5a20c84081804d",
"expires_at": "2025-09-30T14:29:52.682809-07:00",
"size": 8581748736,
"size_vram": 8581748736,
"details": {
"parent_model": "",
"format": "gguf",
@ -27,9 +27,9 @@
"llama"
],
"parameter_size": "3.2B",
"quantization_level": "Q4_K_M"
"quantization_level": "F16"
},
"context_length": 4096
"context_length": null
}
]
}

144
tests/integration/recordings/responses/models-7d9446738fd7-d5d684a3.json
View file

@ -22,19 +22,6 @@
"supports_tools": false
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "accounts/tvergho-87e44d/models/debatecards-70b-ft-3epoch-dpo-v2",
"created": 1743381121,
"object": "model",
"owned_by": "tvergho-87e44d",
"kind": "HF_PEFT_ADDON",
"supports_chat": true,
"supports_image_input": false,
"supports_tools": false
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
@ -75,20 +62,6 @@
"context_length": 131072
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "accounts/fireworks/models/deepseek-v3",
"created": 1735576668,
"object": "model",
"owned_by": "fireworks",
"kind": "HF_BASE_MODEL",
"supports_chat": true,
"supports_image_input": false,
"supports_tools": true,
"context_length": 131072
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
@ -259,17 +232,45 @@
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "accounts/fireworks/models/qwen3-coder-30b-a3b-instruct",
"created": 1754063588,
"id": "accounts/fireworks/models/kimi-k2-instruct-0905",
"created": 1757018994,
"object": "model",
"owned_by": "fireworks",
"kind": "HF_BASE_MODEL",
"supports_chat": true,
"supports_image_input": false,
"supports_tools": false,
"supports_tools": true,
"context_length": 262144
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "accounts/fireworks/models/glm-4p5",
"created": 1753809636,
"object": "model",
"owned_by": "fireworks",
"kind": "HF_BASE_MODEL",
"supports_chat": true,
"supports_image_input": false,
"supports_tools": true,
"context_length": 131072
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "accounts/fireworks/models/deepseek-v3",
"created": 1735576668,
"object": "model",
"owned_by": "fireworks",
"kind": "HF_BASE_MODEL",
"supports_chat": true,
"supports_image_input": false,
"supports_tools": true,
"context_length": 131072
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
@ -284,20 +285,6 @@
"context_length": 131072
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "accounts/fireworks/models/qwen2p5-vl-32b-instruct",
"created": 1743392739,
"object": "model",
"owned_by": "fireworks",
"kind": "HF_BASE_MODEL",
"supports_chat": true,
"supports_image_input": true,
"supports_tools": false,
"context_length": 128000
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
@ -395,34 +382,6 @@
"supports_tools": false
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "accounts/fireworks/models/glm-4p5",
"created": 1753809636,
"object": "model",
"owned_by": "fireworks",
"kind": "HF_BASE_MODEL",
"supports_chat": true,
"supports_image_input": false,
"supports_tools": true,
"context_length": 131072
}
},
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "accounts/fireworks/models/kimi-k2-instruct-0905",
"created": 1757018994,
"object": "model",
"owned_by": "fireworks",
"kind": "HF_BASE_MODEL",
"supports_chat": true,
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"object": "model",
"owned_by": "openai-internal"
}
}
],
"is_streaming": false
}
}

14
tests/unit/providers/agents/meta_reference/test_openai_responses.py
View file

@ -37,7 +37,6 @@ from llama_stack.apis.inference import (
OpenAIJSONSchema,
OpenAIResponseFormatJSONObject,
OpenAIResponseFormatJSONSchema,
OpenAIResponseFormatText,
OpenAIUserMessageParam,
)
from llama_stack.apis.tools.tools import Tool, ToolGroups, ToolInvocationResult, ToolParameter, ToolRuntime
@ -148,7 +147,7 @@ async def test_create_openai_response_with_string_input(openai_responses_impl, m
mock_inference_api.openai_chat_completion.assert_called_once_with(
model=model,
messages=[OpenAIUserMessageParam(role="user", content="What is the capital of Ireland?", name=None)],
response_format=OpenAIResponseFormatText(),
response_format=None,
tools=None,
stream=True,
temperature=0.1,
@ -823,16 +822,16 @@ async def test_store_response_uses_rehydrated_input_with_previous_response(
@pytest.mark.parametrize(
"text_format, response_format",
[
(OpenAIResponseText(format=OpenAIResponseTextFormat(type="text")), OpenAIResponseFormatText()),
(OpenAIResponseText(format=OpenAIResponseTextFormat(type="text")), None),
(
OpenAIResponseText(format=OpenAIResponseTextFormat(name="Test", schema={"foo": "bar"}, type="json_schema")),
OpenAIResponseFormatJSONSchema(json_schema=OpenAIJSONSchema(name="Test", schema={"foo": "bar"})),
),
(OpenAIResponseText(format=OpenAIResponseTextFormat(type="json_object")), OpenAIResponseFormatJSONObject()),
# ensure text param with no format specified defaults to text
(OpenAIResponseText(format=None), OpenAIResponseFormatText()),
# ensure text param of None defaults to text
(None, OpenAIResponseFormatText()),
# ensure text param with no format specified defaults to None
(OpenAIResponseText(format=None), None),
# ensure text param of None defaults to None
(None, None),
],
)
async def test_create_openai_response_with_text_format(
@ -855,7 +854,6 @@ async def test_create_openai_response_with_text_format(
# Verify
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["response_format"] is not None
assert first_call.kwargs["response_format"] == response_format