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more fixes and record from the server since server enables more tests

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This commit is contained in:
Ashwin Bharambe 2025-07-29 12:14:55 -07:00
parent 6ebc93de81
commit 9b3a860beb
29 changed files with 2584 additions and 762 deletions
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55
llama_stack/testing/inference_recorder.py
View file

@ -200,12 +200,12 @@ class ResponseStorage:
return cast(dict[str, Any], data) return cast(dict[str, Any], data)
async def _patched_inference_method(original_method, self, client_type, method_name=None, **kwargs): async def _patched_inference_method(original_method, self, client_type, method_name=None, *args, **kwargs):
global _current_mode, _current_storage global _current_mode, _current_storage
if _current_mode == "live" or _current_storage is None: if _current_mode == "live" or _current_storage is None:
# Normal operation # Normal operation
return await original_method(self, **kwargs) return await original_method(self, *args, **kwargs)
# Get base URL and endpoint based on client type # Get base URL and endpoint based on client type
if client_type == "openai": if client_type == "openai":
@ -284,7 +284,7 @@ async def _patched_inference_method(original_method, self, client_type, method_n
) )
elif _current_mode == "record": elif _current_mode == "record":
response = await original_method(self, **kwargs) response = await original_method(self, *args, **kwargs)
request_data = { request_data = {
"method": method, "method": method,
@ -321,7 +321,7 @@ async def _patched_inference_method(original_method, self, client_type, method_n
return response return response
else: else:
return await original_method(self, **kwargs) raise AssertionError(f"Invalid mode: {_current_mode}")
def patch_inference_clients(): def patch_inference_clients():
@ -347,14 +347,16 @@ def patch_inference_clients():
} }
# Create patched methods for OpenAI client # Create patched methods for OpenAI client
async def patched_chat_completions_create(self, **kwargs): async def patched_chat_completions_create(self, *args, **kwargs):
return await _patched_inference_method(_original_methods["chat_completions_create"], self, "openai", **kwargs) return await _patched_inference_method(
_original_methods["chat_completions_create"], self, "openai", *args, **kwargs
)
async def patched_completions_create(self, **kwargs): async def patched_completions_create(self, *args, **kwargs):
return await _patched_inference_method(_original_methods["completions_create"], self, "openai", **kwargs) return await _patched_inference_method(_original_methods["completions_create"], self, "openai", *args, **kwargs)
async def patched_embeddings_create(self, **kwargs): async def patched_embeddings_create(self, *args, **kwargs):
return await _patched_inference_method(_original_methods["embeddings_create"], self, "openai", **kwargs) return await _patched_inference_method(_original_methods["embeddings_create"], self, "openai", *args, **kwargs)
# Apply OpenAI patches # Apply OpenAI patches
AsyncChatCompletions.create = patched_chat_completions_create AsyncChatCompletions.create = patched_chat_completions_create
@ -362,27 +364,33 @@ def patch_inference_clients():
AsyncEmbeddings.create = patched_embeddings_create AsyncEmbeddings.create = patched_embeddings_create
# Create patched methods for Ollama client # Create patched methods for Ollama client
async def patched_ollama_generate(self, **kwargs): async def patched_ollama_generate(self, *args, **kwargs):
return await _patched_inference_method( return await _patched_inference_method(
_original_methods["ollama_generate"], self, "ollama", "generate", **kwargs _original_methods["ollama_generate"], self, "ollama", "generate", *args, **kwargs
) )
async def patched_ollama_chat(self, **kwargs): async def patched_ollama_chat(self, *args, **kwargs):
return await _patched_inference_method(_original_methods["ollama_chat"], self, "ollama", "chat", **kwargs) return await _patched_inference_method(
_original_methods["ollama_chat"], self, "ollama", "chat", *args, **kwargs
)
async def patched_ollama_embed(self, **kwargs): async def patched_ollama_embed(self, *args, **kwargs):
return await _patched_inference_method(_original_methods["ollama_embed"], self, "ollama", "embed", **kwargs) return await _patched_inference_method(
_original_methods["ollama_embed"], self, "ollama", "embed", *args, **kwargs
)
async def patched_ollama_ps(self, **kwargs): async def patched_ollama_ps(self, *args, **kwargs):
logger.info("replay mode: ollama.ps() reporting success") return await _patched_inference_method(_original_methods["ollama_ps"], self, "ollama", "ps", *args, **kwargs)
return []
async def patched_ollama_pull(self, *args, **kwargs): async def patched_ollama_pull(self, *args, **kwargs):
logger.info("replay mode: ollama.pull() not actually pulling the model") return await _patched_inference_method(
return None _original_methods["ollama_pull"], self, "ollama", "pull", *args, **kwargs
)
async def patched_ollama_list(self, **kwargs): async def patched_ollama_list(self, *args, **kwargs):
return await _patched_inference_method(_original_methods["ollama_list"], self, "ollama", "list", **kwargs) return await _patched_inference_method(
_original_methods["ollama_list"], self, "ollama", "list", *args, **kwargs
)
# Apply Ollama patches # Apply Ollama patches
OllamaAsyncClient.generate = patched_ollama_generate OllamaAsyncClient.generate = patched_ollama_generate
@ -416,6 +424,7 @@ def unpatch_inference_clients():
OllamaAsyncClient.chat = _original_methods["ollama_chat"] OllamaAsyncClient.chat = _original_methods["ollama_chat"]
OllamaAsyncClient.embed = _original_methods["ollama_embed"] OllamaAsyncClient.embed = _original_methods["ollama_embed"]
OllamaAsyncClient.ps = _original_methods["ollama_ps"] OllamaAsyncClient.ps = _original_methods["ollama_ps"]
OllamaAsyncClient.pull = _original_methods["ollama_pull"]
OllamaAsyncClient.list = _original_methods["ollama_list"] OllamaAsyncClient.list = _original_methods["ollama_list"]
_original_methods.clear() _original_methods.clear()

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tests/integration/inference/recordings/index.sqlite
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284
tests/integration/inference/recordings/responses/12913f20f6ac.json Normal file
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@ -0,0 +1,284 @@
{
"request": {
"method": "POST",
"url": "http://localhost:11434/v1/v1/completions",
"headers": {},
"body": {
"model": "llama3.2:3b-instruct-fp16",
"messages": [
{
"role": "user",
"content": "What's the name of the Sun in latin?"
}
],
"stream": true
},
"endpoint": "/v1/completions",
"model": "llama3.2:3b-instruct-fp16"
},
"response": {
"body": [
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-471",
"choices": [
{
"delta": {
"content": "The",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 1753814881,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion.chunk",
"service_tier": null,
"system_fingerprint": "fp_ollama",
"usage": null
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-471",
"choices": [
{
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},
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{
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}
],
"is_streaming": true
}
}

10
tests/integration/inference/recordings/responses/1b8394f90636.json
View file

@ -22,15 +22,15 @@
"__type__": "ollama._types.GenerateResponse", "__type__": "ollama._types.GenerateResponse",
"__data__": { "__data__": {
"model": "llama3.2:3b-instruct-fp16", "model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-07-29T17:37:01.657977Z", "created_at": "2025-07-29T18:47:24.383192Z",
"done": true, "done": true,
"done_reason": "stop", "done_reason": "stop",
"total_duration": 1860746958, "total_duration": 2393598000,
"load_duration": 59632791, "load_duration": 90501917,
"prompt_eval_count": 18, "prompt_eval_count": 18,
"prompt_eval_duration": 66333291, "prompt_eval_duration": 545025792,
"eval_count": 43, "eval_count": 43,
"eval_duration": 1734228875, "eval_duration": 1756031208,
"response": " _______.\n\nThe best answer is blue. The traditional nursery rhyme goes like this:\n\nRoses are red,\nViolets are blue,\nSugar is sweet,\nAnd so are you! (Or something similar.)", "response": " _______.\n\nThe best answer is blue. The traditional nursery rhyme goes like this:\n\nRoses are red,\nViolets are blue,\nSugar is sweet,\nAnd so are you! (Or something similar.)",
"thinking": null, "thinking": null,
"context": null "context": null

10
tests/integration/inference/recordings/responses/211b1562d4e6.json
View file

@ -20,15 +20,15 @@
"__type__": "ollama._types.GenerateResponse", "__type__": "ollama._types.GenerateResponse",
"__data__": { "__data__": {
"model": "llama3.2:3b-instruct-fp16", "model": "llama3.2:3b-instruct-fp16",
"created_at": "2025-07-29T17:37:05.658757Z", "created_at": "2025-07-29T18:47:29.108049Z",
"done": true, "done": true,
"done_reason": "stop", "done_reason": "stop",
"total_duration": 327636667, "total_duration": 334746667,
"load_duration": 55751292, "load_duration": 55090709,
"prompt_eval_count": 23, "prompt_eval_count": 23,
"prompt_eval_duration": 65865625, "prompt_eval_duration": 74557791,
"eval_count": 6, "eval_count": 6,
"eval_duration": 205366667, "eval_duration": 204410292,
"response": "Humans live on Earth.", "response": "Humans live on Earth.",
"thinking": null, "thinking": null,
"context": null "context": null

544
tests/integration/inference/recordings/responses/31407e035752.json Normal file
View file

@ -0,0 +1,544 @@
{
"request": {
"method": "POST",
"url": "http://localhost:11434/v1/v1/completions",
"headers": {},
"body": {
"model": "llama3.2:3b-instruct-fp16",
"messages": [
{
"role": "user",
"content": "What is the name of the US captial?"
}
],
"stream": true
},
"endpoint": "/v1/completions",
"model": "llama3.2:3b-instruct-fp16"
},
"response": {
"body": [
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "chatcmpl-850",
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2
tests/integration/inference/recordings/responses/4a3a4447b16b.json
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@ -14,7 +14,7 @@
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48
tests/integration/inference/recordings/responses/6cc063bbd7d3.json
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@ -183,7 +183,7 @@
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@ -201,7 +201,7 @@
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@ -237,7 +237,7 @@
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@ -255,7 +255,7 @@
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@ -273,7 +273,7 @@
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@ -291,7 +291,7 @@
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@ -309,7 +309,7 @@
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@ -345,7 +345,7 @@
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@ -363,15 +363,15 @@
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10
tests/integration/inference/recordings/responses/70adef2c30c4.json
View file

@ -20,15 +20,15 @@
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"response": "The answer is Saturn! Saturn's ring system is one of the most iconic and well-known in our solar system. The rings are made up of ice particles, rock debris, and dust that orbit around the planet due to its gravitational pull.\n\nWould you like to know more about Saturn's rings or is there something else I can help you with?", "response": "The answer is Saturn! Saturn's ring system is one of the most iconic and well-known in our solar system. The rings are made up of ice particles, rock debris, and dust that orbit around the planet due to its gravitational pull.\n\nWould you like to know more about Saturn's rings or is there something else I can help you with?",
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10
tests/integration/inference/recordings/responses/75d0dd9d0fa3.json
View file

@ -45,15 +45,15 @@
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56
tests/integration/inference/recordings/responses/80f09f27dd61.json Normal file
View file

@ -0,0 +1,56 @@
{
"request": {
"method": "POST",
"url": "http://localhost:11434/v1/v1/completions",
"headers": {},
"body": {
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{
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"content": "Hello, world!"
}
],
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},
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971
tests/integration/inference/recordings/responses/84cab42e1f5c.json
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File diff suppressed because it is too large Load diff

10
tests/integration/inference/recordings/responses/9b812cbcb88d.json
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10
tests/integration/inference/recordings/responses/9e7a83d3d596.json
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@ -15,23 +15,23 @@
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} }
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94
tests/integration/inference/recordings/responses/a6810c23eda8.json
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10
tests/integration/inference/recordings/responses/ae6835cfe70e.json
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56
tests/integration/inference/recordings/responses/afb33182f365.json Normal file
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@ -0,0 +1,56 @@
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284
tests/integration/inference/recordings/responses/b24590574a85.json Normal file
View file

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