mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-10-12 05:54:38 +00:00
Merge branch 'main' into chroma
This commit is contained in:
commit
6bdcfc2627
27 changed files with 6409 additions and 15 deletions
|
@ -6,12 +6,25 @@
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|||
|
||||
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import time
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import unicodedata
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import pytest
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|
||||
from ..test_cases.test_case import TestCase
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|
||||
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||||
def _normalize_text(text: str) -> str:
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"""
|
||||
Normalize Unicode text by removing diacritical marks for comparison.
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||||
|
||||
The test case streaming_01 expects the answer "Sol" for the question "What's the name of the Sun
|
||||
in latin?", but the model is returning "sōl" (with a macron over the 'o'), which is the correct
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||||
Latin spelling. The test is failing because it's doing a simple case-insensitive string search
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||||
for "sol" but the actual response contains the diacritical mark.
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||||
"""
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return unicodedata.normalize("NFD", text).encode("ascii", "ignore").decode("ascii").lower()
|
||||
|
||||
|
||||
def provider_from_model(client_with_models, model_id):
|
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models = {m.identifier: m for m in client_with_models.models.list()}
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models.update({m.provider_resource_id: m for m in client_with_models.models.list()})
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|
@ -42,6 +55,10 @@ def skip_if_model_doesnt_support_openai_completion(client_with_models, model_id)
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"remote::groq",
|
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"remote::gemini", # https://generativelanguage.googleapis.com/v1beta/openai/completions -> 404
|
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"remote::anthropic", # at least claude-3-{5,7}-{haiku,sonnet}-* / claude-{sonnet,opus}-4-* are not supported
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"remote::azure", # {'error': {'code': 'OperationNotSupported', 'message': 'The completion operation
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# does not work with the specified model, gpt-5-mini. Please choose different model and try
|
||||
# again. You can learn more about which models can be used with each operation here:
|
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# https://go.microsoft.com/fwlink/?linkid=2197993.'}}"}
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):
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pytest.skip(f"Model {model_id} hosted by {provider.provider_type} doesn't support OpenAI completions.")
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|
||||
|
@ -157,7 +174,8 @@ def test_openai_completion_non_streaming_suffix(llama_stack_client, client_with_
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|||
assert len(response.choices) > 0
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choice = response.choices[0]
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assert len(choice.text) > 5
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assert "france" in choice.text.lower()
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normalized_text = _normalize_text(choice.text)
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assert "france" in normalized_text
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||||
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||||
@pytest.mark.parametrize(
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|
@ -248,7 +266,9 @@ def test_openai_chat_completion_non_streaming(compat_client, client_with_models,
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)
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message_content = response.choices[0].message.content.lower().strip()
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assert len(message_content) > 0
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assert expected.lower() in message_content
|
||||
normalized_expected = _normalize_text(expected)
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||||
normalized_content = _normalize_text(message_content)
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assert normalized_expected in normalized_content
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||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
|
@ -272,10 +292,13 @@ def test_openai_chat_completion_streaming(compat_client, client_with_models, tex
|
|||
)
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streamed_content = []
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||||
for chunk in response:
|
||||
if chunk.choices[0].delta.content:
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# On some providers like Azure, the choices are empty on the first chunk, so we need to check for that
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if chunk.choices and len(chunk.choices) > 0 and chunk.choices[0].delta.content:
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streamed_content.append(chunk.choices[0].delta.content.lower().strip())
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assert len(streamed_content) > 0
|
||||
assert expected.lower() in "".join(streamed_content)
|
||||
normalized_expected = _normalize_text(expected)
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normalized_content = _normalize_text("".join(streamed_content))
|
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assert normalized_expected in normalized_content
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
|
@ -308,8 +331,12 @@ def test_openai_chat_completion_streaming_with_n(compat_client, client_with_mode
|
|||
streamed_content.get(choice.index, "") + choice.delta.content.lower().strip()
|
||||
)
|
||||
assert len(streamed_content) == 2
|
||||
normalized_expected = _normalize_text(expected)
|
||||
for i, content in streamed_content.items():
|
||||
assert expected.lower() in content, f"Choice {i}: Expected {expected.lower()} in {content}"
|
||||
normalized_content = _normalize_text(content)
|
||||
assert normalized_expected in normalized_content, (
|
||||
f"Choice {i}: Expected {normalized_expected} in {normalized_content}"
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
|
@ -339,9 +366,9 @@ def test_inference_store(compat_client, client_with_models, text_model_id, strea
|
|||
content = ""
|
||||
response_id = None
|
||||
for chunk in response:
|
||||
if response_id is None:
|
||||
if response_id is None and chunk.id:
|
||||
response_id = chunk.id
|
||||
if chunk.choices[0].delta.content:
|
||||
if chunk.choices and len(chunk.choices) > 0 and chunk.choices[0].delta.content:
|
||||
content += chunk.choices[0].delta.content
|
||||
else:
|
||||
response_id = response.id
|
||||
|
@ -410,11 +437,12 @@ def test_inference_store_tool_calls(compat_client, client_with_models, text_mode
|
|||
content = ""
|
||||
response_id = None
|
||||
for chunk in response:
|
||||
if response_id is None:
|
||||
if response_id is None and chunk.id:
|
||||
response_id = chunk.id
|
||||
if delta := chunk.choices[0].delta:
|
||||
if delta.content:
|
||||
content += delta.content
|
||||
if chunk.choices and len(chunk.choices) > 0:
|
||||
if delta := chunk.choices[0].delta:
|
||||
if delta.content:
|
||||
content += delta.content
|
||||
else:
|
||||
response_id = response.id
|
||||
content = response.choices[0].message.content
|
||||
|
@ -484,4 +512,5 @@ def test_openai_chat_completion_non_streaming_with_file(openai_client, client_wi
|
|||
stream=False,
|
||||
)
|
||||
message_content = response.choices[0].message.content.lower().strip()
|
||||
assert "hello world" in message_content
|
||||
normalized_content = _normalize_text(message_content)
|
||||
assert "hello world" in normalized_content
|
||||
|
|
|
@ -32,6 +32,7 @@ def skip_if_model_doesnt_support_completion(client_with_models, model_id):
|
|||
"remote::vertexai",
|
||||
"remote::groq",
|
||||
"remote::sambanova",
|
||||
"remote::azure",
|
||||
)
|
||||
or "openai-compat" in provider.provider_type
|
||||
):
|
||||
|
@ -44,7 +45,7 @@ def skip_if_model_doesnt_support_json_schema_structured_output(client_with_model
|
|||
provider_id = models[model_id].provider_id
|
||||
providers = {p.provider_id: p for p in client_with_models.providers.list()}
|
||||
provider = providers[provider_id]
|
||||
if provider.provider_type in ("remote::sambanova",):
|
||||
if provider.provider_type in ("remote::sambanova", "remote::azure"):
|
||||
pytest.skip(
|
||||
f"Model {model_id} hosted by {provider.provider_type} doesn't support json_schema structured output"
|
||||
)
|
||||
|
|
71
tests/integration/recordings/responses/0fda25b9241c.json
Normal file
71
tests/integration/recordings/responses/0fda25b9241c.json
Normal file
|
@ -0,0 +1,71 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "https://shan-mfbb618r-eastus2.cognitiveservices.azure.com/openai/v1/v1/chat/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "gpt-5-mini",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Which planet do humans live on?"
|
||||
}
|
||||
],
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/v1/chat/completions",
|
||||
"model": "gpt-5-mini"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-CECIXqfvjuluKkZtG3q2QJoSQhBU0",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"message": {
|
||||
"content": "Humans live on Earth \u2014 the third planet from the Sun. It's the only known planet that naturally supports life, with a breathable atmosphere, liquid water, and temperatures suitable for living organisms.",
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"annotations": [],
|
||||
"audio": null,
|
||||
"function_call": null,
|
||||
"tool_calls": null
|
||||
},
|
||||
"content_filter_results": {}
|
||||
}
|
||||
],
|
||||
"created": 1757499901,
|
||||
"model": "gpt-5-mini-2025-08-07",
|
||||
"object": "chat.completion",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": null,
|
||||
"usage": {
|
||||
"completion_tokens": 112,
|
||||
"prompt_tokens": 13,
|
||||
"total_tokens": 125,
|
||||
"completion_tokens_details": {
|
||||
"accepted_prediction_tokens": 0,
|
||||
"audio_tokens": 0,
|
||||
"reasoning_tokens": 64,
|
||||
"rejected_prediction_tokens": 0
|
||||
},
|
||||
"prompt_tokens_details": {
|
||||
"audio_tokens": 0,
|
||||
"cached_tokens": 0
|
||||
}
|
||||
},
|
||||
"prompt_filter_results": [
|
||||
{
|
||||
"prompt_index": 0,
|
||||
"content_filter_results": {}
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
}
|
||||
}
|
448
tests/integration/recordings/responses/2b2ad549510d.json
Normal file
448
tests/integration/recordings/responses/2b2ad549510d.json
Normal file
|
@ -0,0 +1,448 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "https://shan-mfbb618r-eastus2.cognitiveservices.azure.com/openai/v1/v1/chat/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "gpt-5-mini",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Hello, world!"
|
||||
}
|
||||
],
|
||||
"stream": true
|
||||
},
|
||||
"endpoint": "/v1/chat/completions",
|
||||
"model": "gpt-5-mini"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "",
|
||||
"choices": [],
|
||||
"created": 0,
|
||||
"model": "",
|
||||
"object": "",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": null,
|
||||
"usage": null,
|
||||
"prompt_filter_results": [
|
||||
{
|
||||
"prompt_index": 0,
|
||||
"content_filter_results": {}
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-CECIgeXOClAuSm8xHAS6CYQ87lB8O",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"content_filter_results": {}
|
||||
}
|
||||
],
|
||||
"created": 1757499910,
|
||||
"model": "gpt-5-mini-2025-08-07",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": null,
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-CECIgeXOClAuSm8xHAS6CYQ87lB8O",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "Hello",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": null,
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"content_filter_results": {}
|
||||
}
|
||||
],
|
||||
"created": 1757499910,
|
||||
"model": "gpt-5-mini-2025-08-07",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": null,
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-CECIgeXOClAuSm8xHAS6CYQ87lB8O",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": ",",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": null,
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"content_filter_results": {}
|
||||
}
|
||||
],
|
||||
"created": 1757499910,
|
||||
"model": "gpt-5-mini-2025-08-07",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": null,
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-CECIgeXOClAuSm8xHAS6CYQ87lB8O",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " world",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": null,
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"content_filter_results": {}
|
||||
}
|
||||
],
|
||||
"created": 1757499910,
|
||||
"model": "gpt-5-mini-2025-08-07",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": null,
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-CECIgeXOClAuSm8xHAS6CYQ87lB8O",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "!",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": null,
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"content_filter_results": {}
|
||||
}
|
||||
],
|
||||
"created": 1757499910,
|
||||
"model": "gpt-5-mini-2025-08-07",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": null,
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-CECIgeXOClAuSm8xHAS6CYQ87lB8O",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " Hi",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": null,
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"content_filter_results": {}
|
||||
}
|
||||
],
|
||||
"created": 1757499910,
|
||||
"model": "gpt-5-mini-2025-08-07",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": null,
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-CECIgeXOClAuSm8xHAS6CYQ87lB8O",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " \u2014",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": null,
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"content_filter_results": {}
|
||||
}
|
||||
],
|
||||
"created": 1757499910,
|
||||
"model": "gpt-5-mini-2025-08-07",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": null,
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "chatcmpl-CECIgeXOClAuSm8xHAS6CYQ87lB8O",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " how",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": null,
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
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71
tests/integration/recordings/responses/57b67d1b1a36.json
Normal file
71
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Normal file
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71
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Normal file
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Normal file
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1178
tests/integration/recordings/responses/94d11daee205.json
Normal file
1178
tests/integration/recordings/responses/94d11daee205.json
Normal file
File diff suppressed because it is too large
Load diff
1150
tests/integration/recordings/responses/9f3d749cc1c8.json
Normal file
1150
tests/integration/recordings/responses/9f3d749cc1c8.json
Normal file
File diff suppressed because it is too large
Load diff
98
tests/integration/recordings/responses/c791119e6359.json
Normal file
98
tests/integration/recordings/responses/c791119e6359.json
Normal file
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2150
tests/integration/recordings/responses/d3e27b7234e2.json
Normal file
2150
tests/integration/recordings/responses/d3e27b7234e2.json
Normal file
File diff suppressed because it is too large
Load diff
310
tests/integration/recordings/responses/fb785db7fafd.json
Normal file
310
tests/integration/recordings/responses/fb785db7fafd.json
Normal file
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Loading…
Add table
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Reference in a new issue