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feat(tests): introduce inference record/replay to increase test reliability (#2941)
Implements a comprehensive recording and replay system for inference API calls that eliminates dependency on online inference providers during testing. The system treats inference as deterministic by recording real API responses and replaying them in subsequent test runs. Applies to OpenAI clients (which should cover many inference requests) as well as Ollama AsyncClient. For storing, we use a hybrid system: Sqlite for fast lookups and JSON files for easy greppability / debuggability. As expected, tests become much much faster (more than 3x in just inference testing.) ```bash LLAMA_STACK_TEST_INFERENCE_MODE=record LLAMA_STACK_TEST_RECORDING_DIR=<...> \ uv run pytest -s -v tests/integration/inference \ --stack-config=starter \ -k "not( builtin_tool or safety_with_image or code_interpreter or test_rag )" \ --text-model="ollama/llama3.2:3b-instruct-fp16" \ --embedding-model=sentence-transformers/all-MiniLM-L6-v2 ``` ```bash LLAMA_STACK_TEST_INFERENCE_MODE=replay LLAMA_STACK_TEST_RECORDING_DIR=<...> \ uv run pytest -s -v tests/integration/inference \ --stack-config=starter \ -k "not( builtin_tool or safety_with_image or code_interpreter or test_rag )" \ --text-model="ollama/llama3.2:3b-instruct-fp16" \ --embedding-model=sentence-transformers/all-MiniLM-L6-v2 ``` - `LLAMA_STACK_TEST_INFERENCE_MODE`: `live` (default), `record`, or `replay` - `LLAMA_STACK_TEST_RECORDING_DIR`: Storage location (must be specified for record or replay modes)
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4145
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4145
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"prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_object_namespace_list\",\n \"description\": \"Get the list of objects in a namespace\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"kind\", \"namespace\"],\n \"properties\": {\n \"kind\": {\n \"type\": \"string\",\n \"description\": \"the type of object\"\n },\n \"namespace\": {\n \"type\": \"string\",\n \"description\": \"the name of the namespace\"\n }\n }\n }\n }\n]\n\nYou can answer general questions or invoke tools when necessary.\nIn addition to tool calls, you should also augment your responses by using the tool outputs.\nYou are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat pods are in the namespace openshift-lightspeed?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n[get_object_namespace_list(kind=\"pod\", namespace=\"openshift-lightspeed\")]<|eot_id|><|start_header_id|>ipython<|end_header_id|>\n\nthe objects are pod1, pod2, pod3<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
|
||||
"options": {
|
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"temperature": 0.0
|
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},
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/api/generate",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:48.95435Z",
|
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"done": false,
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"load_duration": null,
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"prompt_eval_duration": null,
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"eval_count": null,
|
||||
"eval_duration": null,
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"response": "[]",
|
||||
"thinking": null,
|
||||
"context": null
|
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}
|
||||
},
|
||||
{
|
||||
"__type__": "ollama._types.GenerateResponse",
|
||||
"__data__": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"created_at": "2025-07-29T18:47:48.996247Z",
|
||||
"done": true,
|
||||
"done_reason": "stop",
|
||||
"total_duration": 667274458,
|
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"load_duration": 80712750,
|
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"prompt_eval_count": 386,
|
||||
"prompt_eval_duration": 543388792,
|
||||
"eval_count": 2,
|
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"eval_duration": 42471125,
|
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"response": "",
|
||||
"thinking": null,
|
||||
"context": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
Loading…
Add table
Add a link
Reference in a new issue