mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-04 18:13:44 +00:00
Merge remote-tracking branch 'upstream/main' into feat-3410-bedrock-openai-compatible-provider
This commit is contained in:
skamenan7
commit
10961017e0
108 changed files with 9553 additions and 618 deletions
3010
tests/integration/inference/recordings/0248ff8a1be5ff5ba88046947059ffbde15a1c52adbeea456bb42abdfc931bd1.json
generated
Normal file
3010
tests/integration/inference/recordings/0248ff8a1be5ff5ba88046947059ffbde15a1c52adbeea456bb42abdfc931bd1.json
generated
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
2113
tests/integration/inference/recordings/65eba1be095a7037c4f197f4168b310ebc8afc00aba3946ba498abe2fdbe6a63.json
generated
Normal file
2113
tests/integration/inference/recordings/65eba1be095a7037c4f197f4168b310ebc8afc00aba3946ba498abe2fdbe6a63.json
generated
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -0,0 +1,103 @@
|
|||
{
|
||||
"test_id": "tests/integration/inference/test_tools_with_schemas.py::TestMCPToolsInChatCompletion::test_mcp_tools_in_inference[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": "Calculate 5 + 3"
|
||||
}
|
||||
],
|
||||
"max_tokens": 4096,
|
||||
"tools": [
|
||||
{
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "calculate",
|
||||
"description": "",
|
||||
"parameters": {
|
||||
"properties": {
|
||||
"x": {
|
||||
"title": "X",
|
||||
"type": "number"
|
||||
},
|
||||
"y": {
|
||||
"title": "Y",
|
||||
"type": "number"
|
||||
},
|
||||
"operation": {
|
||||
"title": "Operation",
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"x",
|
||||
"y",
|
||||
"operation"
|
||||
],
|
||||
"title": "calculateArguments",
|
||||
"type": "object"
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"endpoint": "/v1/chat/completions",
|
||||
"model": "Qwen/Qwen3-0.6B"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
|
||||
"__data__": {
|
||||
"id": "rec-99bf0054f11a",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "tool_calls",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"message": {
|
||||
"content": "<think>\nOkay, the user wants to calculate 5 plus 3. Let me check the tools provided. The only function available is 'calculate', which requires x, y, and operation. The parameters are numbers and an operation. The user input is straightforward: 5 + 3. So I need to call the 'calculate' function with x=5, y=3, and operation='+'. That should give the correct result. I don't see any other parameters needed here. Just make sure the JSON is correctly formatted with the required fields.\n</think>\n\n",
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"annotations": null,
|
||||
"audio": null,
|
||||
"function_call": null,
|
||||
"tool_calls": [
|
||||
{
|
||||
"id": "chatcmpl-tool-6d1a92899a8246bb8fae5682dc08590c",
|
||||
"function": {
|
||||
"arguments": "{\"x\": 5, \"y\": 3, \"operation\": \"+\"}",
|
||||
"name": "calculate"
|
||||
},
|
||||
"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": 144,
|
||||
"prompt_tokens": 193,
|
||||
"total_tokens": 337,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
},
|
||||
"prompt_logprobs": null,
|
||||
"kv_transfer_params": null
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
},
|
||||
"id_normalization_mapping": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
|
|
@ -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": {}
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue