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fix(openai): Fix with_raw_response redirect crashing span #536

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Original file line number Diff line number Diff line change
Expand Up @@ -166,5 +166,9 @@ def is_streaming_response(response):
def model_as_dict(model):
if version("pydantic") < "2.0.0":
return model.dict()

return model.model_dump()
if hasattr(model, "model_dump"):
return model.model_dump()
elif hasattr(model, "parse"): # Raw API response
return model_as_dict(model.parse())
else:
return model
Original file line number Diff line number Diff line change
@@ -0,0 +1,226 @@
interactions:
- request:
body: '{"input": "Tell me a joke about opentelemetry", "model": "text-embedding-ada-002"}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate
connection:
- keep-alive
content-length:
- '82'
content-type:
- application/json
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.12.0
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.12.0
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.9.5
method: POST
uri: https://api.openai.com/v1/embeddings
response:
body:
string: !!binary |
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ def test_chat_streaming(exporter, openai_client, vcr):
stream=True,
)

for part in response:
for _ in response:
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This has nothing to do with the mentioned bug, it was just bugging me :-)

pass

spans = exporter.get_finished_spans()
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Original file line number Diff line number Diff line change
Expand Up @@ -68,7 +68,7 @@ def test_completion_streaming(exporter, openai_client):
stream=True,
)

for part in response:
for _ in response:
pass

spans = exporter.get_finished_spans()
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Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,30 @@ def test_embeddings(exporter, openai_client):
assert open_ai_span.attributes["openai.api_base"] == "https://api.openai.com/v1/"


@pytest.mark.vcr
def test_embeddings_with_raw_response(exporter, openai_client):
response = openai_client.embeddings.with_raw_response.create(
input="Tell me a joke about opentelemetry",
model="text-embedding-ada-002",
)
spans = exporter.get_finished_spans()
assert [span.name for span in spans] == [
"openai.embeddings",
]
open_ai_span = spans[0]
assert (
open_ai_span.attributes["llm.prompts.0.content"]
== "Tell me a joke about opentelemetry"
)

assert open_ai_span.attributes["llm.request.model"] == "text-embedding-ada-002"
assert open_ai_span.attributes["llm.usage.prompt_tokens"] == 8
assert open_ai_span.attributes["openai.api_base"] == "https://api.openai.com/v1/"

parsed_response = response.parse()
assert parsed_response.data[0]


@pytest.mark.vcr
def test_azure_openai_embeddings(exporter):
api_key = "redacted"
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ def test_vision(exporter, openai_client):
],
)

for part in response:
for _ in response:
pass

spans = exporter.get_finished_spans()
Expand Down
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