ci: Add vLLM support to integration testing infrastructure (with qwen) (#3545)
Some checks failed
SqlStore Integration Tests / test-postgres (3.12) (push) Failing after 1s
Integration Auth Tests / test-matrix (oauth2_token) (push) Failing after 2s
SqlStore Integration Tests / test-postgres (3.13) (push) Failing after 1s
Integration Tests (Replay) / generate-matrix (push) Successful in 4s
Python Package Build Test / build (3.13) (push) Failing after 2s
Test External Providers Installed via Module / test-external-providers-from-module (venv) (push) Has been skipped
Vector IO Integration Tests / test-matrix (push) Failing after 6s
Pre-commit / pre-commit (push) Failing after 6s
Test External API and Providers / test-external (venv) (push) Failing after 5s
API Conformance Tests / check-schema-compatibility (push) Successful in 14s
Integration Tests (Replay) / Integration Tests (, , , client=, ) (push) Failing after 5s
Python Package Build Test / build (3.12) (push) Failing after 22s
UI Tests / ui-tests (22) (push) Successful in 57s

o Introduces vLLM provider support to the record/replay testing
framework
o Enabling both recording and replay of vLLM API interactions alongside
existing Ollama support.

The changes enable testing of vLLM functionality. vLLM tests focus on
inference capabilities, while Ollama continues to exercise the full API
surface
including vision features.

--
This is an alternative to #3128 , using qwen3 instead of llama 3.2 1B
appears to be more capable at structure output and tool calls.

---------

Signed-off-by: Derek Higgins <derekh@redhat.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
This commit is contained in:
Derek Higgins 2025-11-06 09:36:40 +00:00 committed by GitHub
parent bef1b044bd
commit c62a09ab76
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
67 changed files with 8261 additions and 13 deletions

View file

@ -0,0 +1,84 @@
{
"test_id": "tests/integration/inference/test_tools_with_schemas.py::TestEdgeCases::test_tool_without_schema[txt=vllm/Qwen/Qwen3-0.6B]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"messages": [
{
"role": "user",
"content": "Call the no args tool"
}
],
"max_tokens": 4096,
"tools": [
{
"type": "function",
"function": {
"name": "no_args_tool",
"description": "Tool with no arguments",
"parameters": {
"type": "object",
"properties": {}
}
}
}
]
},
"endpoint": "/v1/chat/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "rec-452805c3c859",
"choices": [
{
"finish_reason": "tool_calls",
"index": 0,
"logprobs": null,
"message": {
"content": "<think>\nOkay, the user wants me to call the no args tool. Let me check the available functions. There's only one tool provided, which is the no_args_tool with no arguments. Since the user didn't specify any parameters, I should just return the tool call as instructed. I need to make sure the JSON is correctly formatted and within the XML tags. Alright, that's all I need.\n</think>\n\n",
"refusal": null,
"role": "assistant",
"annotations": null,
"audio": null,
"function_call": null,
"tool_calls": [
{
"id": "chatcmpl-tool-7a67269afe214c85924c5171612bbdbd",
"function": {
"arguments": "{}",
"name": "no_args_tool"
},
"type": "function"
}
],
"reasoning_content": null
},
"stop_reason": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "chat.completion",
"service_tier": null,
"system_fingerprint": null,
"usage": {
"completion_tokens": 101,
"prompt_tokens": 136,
"total_tokens": 237,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"prompt_logprobs": null,
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,92 @@
{
"test_id": "tests/integration/inference/test_tools_with_schemas.py::TestOpenAICompatibility::test_openai_chat_completion_with_tools[openai_client-txt=vllm/Qwen/Qwen3-0.6B]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"messages": [
{
"role": "user",
"content": "What's the weather in Tokyo?"
}
],
"max_tokens": 4096,
"tools": [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get weather information",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "City name"
}
},
"required": [
"location"
]
}
}
}
]
},
"endpoint": "/v1/chat/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "rec-496035259763",
"choices": [
{
"finish_reason": "tool_calls",
"index": 0,
"logprobs": null,
"message": {
"content": "<think>\nOkay, the user is asking about the weather in Tokyo. I need to use the get_weather function for that. The function requires the location parameter, which in this case is Tokyo. I should make sure to specify \"Tokyo\" as the location. Let me check if there are any other parameters needed, but no, the function only needs the location. So the tool call should be straightforward. I'll format the JSON correctly inside the tool_call tags.\n</think>\n\n",
"refusal": null,
"role": "assistant",
"annotations": null,
"audio": null,
"function_call": null,
"tool_calls": [
{
"id": "chatcmpl-tool-959b557fa67e4134a2391f5d35e5d5ae",
"function": {
"arguments": "{\"location\": \"Tokyo\"}",
"name": "get_weather"
},
"type": "function"
}
],
"reasoning_content": null
},
"stop_reason": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "chat.completion",
"service_tier": null,
"system_fingerprint": null,
"usage": {
"completion_tokens": 117,
"prompt_tokens": 158,
"total_tokens": 275,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"prompt_logprobs": null,
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,92 @@
{
"test_id": "tests/integration/inference/test_tools_with_schemas.py::TestOpenAICompatibility::test_openai_format_preserves_complex_schemas[openai_client-txt=vllm/Qwen/Qwen3-0.6B]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"messages": [
{
"role": "user",
"content": "Process this data"
}
],
"max_tokens": 4096,
"tools": [
{
"type": "function",
"function": {
"name": "process_data",
"description": "Process structured data",
"parameters": {
"type": "object",
"properties": {
"data": {
"$ref": "#/$defs/DataObject"
}
},
"$defs": {
"DataObject": {
"type": "object",
"properties": {
"values": {
"type": "array",
"items": {
"type": "number"
}
}
}
}
}
}
}
}
]
},
"endpoint": "/v1/chat/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "rec-524ead18daad",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"logprobs": null,
"message": {
"content": "<think>\nOkay, the user wants me to process the data. Let me check the available tools. There's a function called process_data that takes an object with a 'data' parameter. The data is an array of numbers. But the user hasn't provided any specific data yet. They just said \"Process this data.\" Hmm, maybe they expect me to prompt them for the data first. Wait, maybe there's a misunderstanding. Did they include the data in the conversation history? Let me look back. The user's message is \"Process this data.\" No data provided. Oh, maybe they made a mistake and forgot to include it. I need to ask them to provide the data so I can proceed. Let me confirm if there's any data mentioned. No, the current input is just the instruction. So I should ask the user to supply the data array of numbers to process.\n</think>\n\nPlease provide the structured data you'd like me to process. For example, an array of numbers like `[1, 2, 3]`.",
"refusal": null,
"role": "assistant",
"annotations": null,
"audio": null,
"function_call": null,
"tool_calls": [],
"reasoning_content": null
},
"stop_reason": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "chat.completion",
"service_tier": null,
"system_fingerprint": null,
"usage": {
"completion_tokens": 212,
"prompt_tokens": 180,
"total_tokens": 392,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"prompt_logprobs": null,
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,98 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_with_tools[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:tool_calling]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"messages": [
{
"role": "system",
"content": "Pretend you are a weather assistant."
},
{
"role": "user",
"content": "What's the weather like in San Francisco, CA?"
}
],
"max_tokens": 4096,
"stream": false,
"tool_choice": "auto",
"tools": [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state (both required), e.g. San Francisco, CA."
}
},
"required": [
"location"
]
}
}
}
]
},
"endpoint": "/v1/chat/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "rec-744052775cf9",
"choices": [
{
"finish_reason": "tool_calls",
"index": 0,
"logprobs": null,
"message": {
"content": "<think>\nOkay, the user is asking about the weather in San Francisco, CA. I need to use the get_weather function. The function requires the location parameter, which is provided as San Francisco, CA. I should make sure to format the arguments correctly as a JSON object. Let me check the required parameters again. The location is required, so I can't omit it. I'll structure the tool call with the name \"get_weather\" and the arguments including \"location\": \"San Francisco, CA\". That should get the current weather information for the user.\n</think>\n\n",
"refusal": null,
"role": "assistant",
"annotations": null,
"audio": null,
"function_call": null,
"tool_calls": [
{
"id": "chatcmpl-tool-b59dc311dd914d3dbd6d455b122bc39c",
"function": {
"arguments": "{\"location\": \"San Francisco, CA\"}",
"name": "get_weather"
},
"type": "function"
}
],
"reasoning_content": null
},
"stop_reason": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "chat.completion",
"service_tier": null,
"system_fingerprint": null,
"usage": {
"completion_tokens": 138,
"prompt_tokens": 185,
"total_tokens": 323,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"prompt_logprobs": null,
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,67 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_with_tool_choice_none[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:tool_calling]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"messages": [
{
"role": "system",
"content": "Pretend you are a weather assistant."
},
{
"role": "user",
"content": "What's the weather like in San Francisco, CA?"
}
],
"max_tokens": 4096,
"stream": false
},
"endpoint": "/v1/chat/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "rec-77cf21828360",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"logprobs": null,
"message": {
"content": "<think>\nOkay, the user is asking about the weather in San Francisco, CA. I need to check the current weather conditions. But wait, I can't access real-time data. I should mention that I can't provide the current weather forecast and ask them to check a reliable source like the National Weather Service or a weather app. Also, maybe suggest they can provide more details if they need help with something else related to the weather.\n</think>\n\nI'm sorry, but I can't provide real-time weather information. However, you can check the current weather for San Francisco, CA using the National Weather Service (NWS) website, weather apps like Weather.com, or local meteorological services. Let me know if there's anything else I can assist with!",
"refusal": null,
"role": "assistant",
"annotations": null,
"audio": null,
"function_call": null,
"tool_calls": [],
"reasoning_content": null
},
"stop_reason": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "chat.completion",
"service_tier": null,
"system_fingerprint": null,
"usage": {
"completion_tokens": 154,
"prompt_tokens": 33,
"total_tokens": 187,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"prompt_logprobs": null,
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,128 @@
{
"test_id": "tests/integration/inference/test_tools_with_schemas.py::TestEdgeCases::test_multiple_tools_with_different_schemas[txt=vllm/Qwen/Qwen3-0.6B]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"messages": [
{
"role": "user",
"content": "Use one of the available tools"
}
],
"max_tokens": 4096,
"tools": [
{
"type": "function",
"function": {
"name": "simple",
"parameters": {
"type": "object",
"properties": {
"x": {
"type": "string"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "complex",
"parameters": {
"type": "object",
"properties": {
"data": {
"$ref": "#/$defs/Complex"
}
},
"$defs": {
"Complex": {
"type": "object",
"properties": {
"nested": {
"type": "array",
"items": {
"type": "number"
}
}
}
}
}
}
}
},
{
"type": "function",
"function": {
"name": "with_output",
"parameters": {
"type": "object",
"properties": {
"input": {
"type": "string"
}
}
}
}
}
]
},
"endpoint": "/v1/chat/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "rec-853f6a700b98",
"choices": [
{
"finish_reason": "tool_calls",
"index": 0,
"logprobs": null,
"message": {
"content": "<think>\nOkay, let's see. The user wants me to use one of the available tools. The tools provided are simple, complex, and with_output. The simple function takes an argument 'x' of type string. The complex function requires a 'data' parameter that's an object with a nested array of numbers. The with_output function takes an input string.\n\nThe user's query is about using a tool, but there's no specific function name mentioned. Wait, maybe the user expects me to choose one based on the context. Since the tools are available, but the query is a general instruction, perhaps I should ask for clarification. However, the instructions say to use one of the tools if possible. Since the user hasn't specified a particular function, maybe I should check if there's any implicit function needed. But looking at the tools, none are directly related to the query. The user might need to specify which tool to use. Alternatively, maybe the answer is to call the simple function with an example input. But without more context, it's hard to tell. Wait, maybe the user expects me to choose the simplest one. Let's go with the simple function first. So the tool call would be to the simple function with x set to some value. But the user hasn't provided a specific value. Maybe I should state that the tool requires a value. But according to the instructions, if possible, use one of the tools. Since the user hasn't given a value, perhaps the answer is to call the simple function with an example. But the parameters for the simple function require 'x' which is a string. Maybe the user expects me to proceed without needing more info. So I'll proceed by calling the simple function with x as \"example\".\n</think>\n\n",
"refusal": null,
"role": "assistant",
"annotations": null,
"audio": null,
"function_call": null,
"tool_calls": [
{
"id": "chatcmpl-tool-12e2ba0189cf484bb936cbb254a5c32a",
"function": {
"arguments": "{\"x\": \"example\"}",
"name": "simple"
},
"type": "function"
}
],
"reasoning_content": null
},
"stop_reason": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "chat.completion",
"service_tier": null,
"system_fingerprint": null,
"usage": {
"completion_tokens": 378,
"prompt_tokens": 265,
"total_tokens": 643,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"prompt_logprobs": null,
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,114 @@
{
"test_id": "tests/integration/inference/test_tools_with_schemas.py::TestChatCompletionWithTools::test_tool_with_complex_schema[txt=vllm/Qwen/Qwen3-0.6B]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"messages": [
{
"role": "user",
"content": "Book a flight from SFO to JFK for John Doe"
}
],
"max_tokens": 4096,
"tools": [
{
"type": "function",
"function": {
"name": "book_flight",
"description": "Book a flight",
"parameters": {
"type": "object",
"properties": {
"flight": {
"$ref": "#/$defs/FlightInfo"
},
"passenger": {
"$ref": "#/$defs/Passenger"
}
},
"required": [
"flight",
"passenger"
],
"$defs": {
"FlightInfo": {
"type": "object",
"properties": {
"from": {
"type": "string"
},
"to": {
"type": "string"
},
"date": {
"type": "string",
"format": "date"
}
}
},
"Passenger": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"age": {
"type": "integer"
}
}
}
}
}
}
}
]
},
"endpoint": "/v1/chat/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "rec-cfb292c0f41d",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"logprobs": null,
"message": {
"content": "<think>\nOkay, the user wants to book a flight from SFO to JFK for John Doe. Let me check the tools available. The provided function is book_flight, which requires flight information and a passenger. The parameters needed are flight (as a FlightInfo object) and passenger (with name and age). The user mentioned SFO to JFK, so the flight details are from and to. The passenger's name is John Doe, but the age isn't provided. Wait, the function parameters require the passenger's name and age, but the user only mentioned the name. Maybe the age is missing? But the user didn't specify it, so perhaps I should note that the age is required. However, the function's required parameters are flight and passenger, so even if age is missing, the function can't be called without it. So I need to include both flight info and passenger details. The user's message only gives the name and destination, not the flight details or age. Therefore, I need to ask for the flight details and the passenger's age. But the user hasn't provided those. So I can't proceed with the function call. Wait, but maybe the user expects me to assume some default? No, the function requires all parameters. Since the user hasn't provided flight details or age, I can't call the function. So the correct response is to prompt the user for those details.\n</think>\n\nThe booking requires the flight details and passenger's age. Could you provide the flight number and John Doe's age?",
"refusal": null,
"role": "assistant",
"annotations": null,
"audio": null,
"function_call": null,
"tool_calls": [],
"reasoning_content": null
},
"stop_reason": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "chat.completion",
"service_tier": null,
"system_fingerprint": null,
"usage": {
"completion_tokens": 310,
"prompt_tokens": 261,
"total_tokens": 571,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"prompt_logprobs": null,
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,96 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_structured_output[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:structured_output]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant. Michael Jordan was born in 1963. His first name is \"Michael\", He played basketball for the Chicago Bulls for 15 seasons and was drafted in 1984"
},
{
"role": "user",
"content": "Please give me information about Michael Jordan."
}
],
"max_tokens": 4096,
"response_format": {
"type": "json_schema",
"json_schema": {
"name": "AnswerFormat",
"schema": {
"properties": {
"first_name": {
"title": "First Name",
"type": "string"
},
"last_name": {
"title": "Last Name",
"type": "string"
},
"year_of_birth": {
"title": "Year Of Birth",
"type": "integer"
}
},
"required": [
"first_name",
"last_name",
"year_of_birth"
],
"title": "AnswerFormat",
"type": "object"
}
}
},
"stream": false
},
"endpoint": "/v1/chat/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "rec-df353403c7fb",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"logprobs": null,
"message": {
"content": "{\"first_name\": \"Michael\", \"last_name\": \"Jordan\", \"year_of_birth\": 1963}",
"refusal": null,
"role": "assistant",
"annotations": null,
"audio": null,
"function_call": null,
"tool_calls": [],
"reasoning_content": null
},
"stop_reason": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "chat.completion",
"service_tier": null,
"system_fingerprint": null,
"usage": {
"completion_tokens": 28,
"prompt_tokens": 66,
"total_tokens": 94,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"prompt_logprobs": null,
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,92 @@
{
"test_id": "tests/integration/inference/test_tools_with_schemas.py::TestChatCompletionWithTools::test_simple_tool_call[txt=vllm/Qwen/Qwen3-0.6B]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"messages": [
{
"role": "user",
"content": "What's the weather in San Francisco?"
}
],
"max_tokens": 4096,
"tools": [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get weather for a location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "City name"
}
},
"required": [
"location"
]
}
}
}
]
},
"endpoint": "/v1/chat/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "rec-e89112e7735f",
"choices": [
{
"finish_reason": "tool_calls",
"index": 0,
"logprobs": null,
"message": {
"content": "<think>\nOkay, the user is asking for the weather in San Francisco. I need to check if there's a function available for that. Looking at the tools provided, there's a function called get_weather that requires a location parameter. The description says it gets weather for a location, and the parameter is the city name. The user provided \"San Francisco\" as the location, so I should call the get_weather function with \"San Francisco\" as the argument. I don't see any other parameters needed here, so the tool call should be straightforward. Just make sure the city name is correctly formatted in JSON.\n</think>\n\n",
"refusal": null,
"role": "assistant",
"annotations": null,
"audio": null,
"function_call": null,
"tool_calls": [
{
"id": "chatcmpl-tool-feead29842dc40b2831c41ed397f555f",
"function": {
"arguments": "{\"location\": \"San Francisco\"}",
"name": "get_weather"
},
"type": "function"
}
],
"reasoning_content": null
},
"stop_reason": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "chat.completion",
"service_tier": null,
"system_fingerprint": null,
"usage": {
"completion_tokens": 146,
"prompt_tokens": 161,
"total_tokens": 307,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"prompt_logprobs": null,
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,53 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/completions",
"headers": {},
"body": {
"model": "Qwen/Qwen3-0.6B",
"prompt": "I am feeling really sad today.",
"stream": false,
"extra_body": {
"guided_choice": [
"joy",
"sadness"
]
}
},
"endpoint": "/v1/completions",
"model": "Qwen/Qwen3-0.6B"
},
"response": {
"body": {
"__type__": "openai.types.completion.Completion",
"__data__": {
"id": "rec-f02f1bfd75ad",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"logprobs": null,
"text": "joy",
"stop_reason": null,
"prompt_logprobs": null
}
],
"created": 0,
"model": "Qwen/Qwen3-0.6B",
"object": "text_completion",
"system_fingerprint": null,
"usage": {
"completion_tokens": 2,
"prompt_tokens": 7,
"total_tokens": 9,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"kv_transfer_params": null
}
},
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375180,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-aeeb49e5e51c42fa94562780165bd620",
"object": "model_permission",
"created": 1762375180,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375115,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-feec0a894be04f738e12b596ff163b64",
"object": "model_permission",
"created": 1762375115,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_stop_sequence[txt=vllm/Qwen/Qwen3-0.6B-inference:completion:stop_sequence]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374330,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-119e17052e4c4c13bd791af3138d5360",
"object": "model_permission",
"created": 1762374330,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375226,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-c6ae673fda084519b3c67947896cd3b0",
"object": "model_permission",
"created": 1762375226,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374573,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-3f422354a81e491b87f93d5b192a0e1a",
"object": "model_permission",
"created": 1762374573,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:streaming_01]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374305,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-794e16e59ddb4216a8bedfdf485b8f24",
"object": "model_permission",
"created": 1762374305,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=vllm/Qwen/Qwen3-0.6B-True]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374317,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-ff7d26d076eb4373a0631a80fe3ae063",
"object": "model_permission",
"created": 1762374317,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:streaming_02]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375033,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-2a16fede981b43be9e1cbe3dbedd1e74",
"object": "model_permission",
"created": 1762375033,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374297,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-4bc93704559a4e1d8492aeec7222040c",
"object": "model_permission",
"created": 1762374297,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374532,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-e353aa079d5145c19953791ac99daeba",
"object": "model_permission",
"created": 1762374532,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-True]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375260,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-10c27d1c9e324b18b65321b422e19af9",
"object": "model_permission",
"created": 1762375260,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:streaming_02]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375040,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-f01c211577294936958dd28046c89dba",
"object": "model_permission",
"created": 1762375040,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_02]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375266,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-7166a6fcd331435eb2d0f0a6b23382ed",
"object": "model_permission",
"created": 1762375266,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:streaming_01]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374301,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-cd16b092c5a04e719ddf786f0c3e935e",
"object": "model_permission",
"created": 1762374301,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:completion:sanity]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374295,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-9f71adbb206846bb9d0e12834e41551e",
"object": "model_permission",
"created": 1762374295,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_logprobs_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:completion:log_probs]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374342,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-a8b7b38c40584a03b4b346b6c181fb93",
"object": "model_permission",
"created": 1762374342,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_01]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375235,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-dd48560646f141298f5cc2ef3467e54b",
"object": "model_permission",
"created": 1762375235,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374500,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-0ba0c3a54dcb4e57bc0308fd54425933",
"object": "model_permission",
"created": 1762374500,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=vllm/Qwen/Qwen3-0.6B-True]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374311,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-e95a9ed7439245b5995add97fb50f765",
"object": "model_permission",
"created": 1762374311,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375099,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-6b5eba46536f43df902871dd257e1676",
"object": "model_permission",
"created": 1762375099,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375207,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-bbfbcf20cac146e0ae5e45ae6a42632d",
"object": "model_permission",
"created": 1762375207,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:streaming_02]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375273,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-4935d35e00fd4acdbe78662f42342e77",
"object": "model_permission",
"created": 1762375273,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374591,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-e19031997a1e44d99c8b5ae55725a887",
"object": "model_permission",
"created": 1762374591,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_02]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375027,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-ec44b40a73b04912a837001376b59cff",
"object": "model_permission",
"created": 1762375027,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374356,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-3203232f1dbd426aba98ef1593dd3c01",
"object": "model_permission",
"created": 1762374356,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:streaming_01]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375248,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-5efe67a621074e979edaaf8fcfee9a80",
"object": "model_permission",
"created": 1762375248,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375135,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-5509cf924e5e4fc89091e4593f264258",
"object": "model_permission",
"created": 1762375135,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_01]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374301,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-72ed55b56df1471b9f71c48bacf8b768",
"object": "model_permission",
"created": 1762374301,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming_suffix[txt=vllm/Qwen/Qwen3-0.6B-inference:completion:suffix]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374295,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-abbbfbb49abc4312b2b2011d4d2ba19b",
"object": "model_permission",
"created": 1762374295,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375065,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-d943fbda14264715906334300853cec7",
"object": "model_permission",
"created": 1762375065,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming_with_file[txt=vllm/Qwen/Qwen3-0.6B]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374323,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-15a0a1106fff4fdd8ce7574373fe3cee",
"object": "model_permission",
"created": 1762374323,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375082,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-ef1d3bc6fefc432380ef0eabdf216fd3",
"object": "model_permission",
"created": 1762375082,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375165,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-b29f7386725b4f13976cd76b6dc3a278",
"object": "model_permission",
"created": 1762375165,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_logprobs[txt=vllm/Qwen/Qwen3-0.6B-inference:completion:log_probs]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374336,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-21db8cc1a31e41eaaa4e653435618645",
"object": "model_permission",
"created": 1762374336,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374547,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-09fed2c5660e42658ab23c6d17b7840c",
"object": "model_permission",
"created": 1762374547,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:completion:sanity]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374297,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-70d68a901d2445f6b7f470c600b34c78",
"object": "model_permission",
"created": 1762374297,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=vllm/Qwen/Qwen3-0.6B-False]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375047,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-a8446fd6718649399402526dc6fe1477",
"object": "model_permission",
"created": 1762375047,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-True]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375254,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-f6eb51901e6443e492061deac904737c",
"object": "model_permission",
"created": 1762375254,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:streaming_02]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375279,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-31e50ba39ad84a7daa1a24a3c77dc550",
"object": "model_permission",
"created": 1762375279,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:streaming_01]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375241,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-3ebcc379347541ea94de0f91838829e5",
"object": "model_permission",
"created": 1762375241,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374449,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-311f880045284a469a286b8039177d10",
"object": "model_permission",
"created": 1762374449,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=vllm/Qwen/Qwen3-0.6B-False]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375053,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-2e52800baf7e4d3389892f33feb3f52b",
"object": "model_permission",
"created": 1762375053,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[llama_stack_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375150,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-cfec81fed838407597a92838017f3ef5",
"object": "model_permission",
"created": 1762375150,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374466,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-8811d359d9724f8cac7fd6df608f69bd",
"object": "model_permission",
"created": 1762374466,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374482,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-d4b4923adfdf40b7bd7698aa798e68eb",
"object": "model_permission",
"created": 1762374482,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-False]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375291,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-a48cfd65bcd847d7aea01d44e8add51e",
"object": "model_permission",
"created": 1762375291,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[openai_client-emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762374517,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-916d53706b624fefb83e5dcc699e7a69",
"object": "model_permission",
"created": 1762374517,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}

View file

@ -0,0 +1,45 @@
{
"test_id": "tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=vllm/Qwen/Qwen3-0.6B-False]",
"request": {
"method": "POST",
"url": "http://localhost:8000/v1/v1/models",
"headers": {},
"body": {},
"endpoint": "/v1/models",
"model": ""
},
"response": {
"body": [
{
"__type__": "openai.types.model.Model",
"__data__": {
"id": "Qwen/Qwen3-0.6B",
"created": 1762375285,
"object": "model",
"owned_by": "vllm",
"root": "/root/.cache/Qwen3-0.6B",
"parent": null,
"max_model_len": 8192,
"permission": [
{
"id": "modelperm-e0640be42b814b3394545ebe92d844b3",
"object": "model_permission",
"created": 1762375285,
"allow_create_engine": false,
"allow_sampling": true,
"allow_logprobs": true,
"allow_search_indices": false,
"allow_view": true,
"allow_fine_tuning": false,
"organization": "*",
"group": null,
"is_blocking": false
}
]
}
}
],
"is_streaming": false
},
"id_normalization_mapping": {}
}