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import json
import httpx
import pytest
from cohere import Client, ChatMessage
from sentry_sdk import start_transaction
from sentry_sdk.integrations.cohere import CohereIntegration
from unittest import mock # python 3.3 and above
from httpx import Client as HTTPXClient
@pytest.mark.parametrize(
"send_default_pii, include_prompts",
[(True, True), (True, False), (False, True), (False, False)],
)
def test_nonstreaming_chat(
sentry_init, capture_events, send_default_pii, include_prompts
):
sentry_init(
integrations=[CohereIntegration(include_prompts=include_prompts)],
traces_sample_rate=1.0,
send_default_pii=send_default_pii,
)
events = capture_events()
client = Client(api_key="z")
HTTPXClient.request = mock.Mock(
return_value=httpx.Response(
200,
json={
"text": "the model response",
"meta": {
"billed_units": {
"output_tokens": 10,
"input_tokens": 20,
}
},
},
)
)
with start_transaction(name="cohere tx"):
response = client.chat(
model="some-model",
chat_history=[ChatMessage(role="SYSTEM", message="some context")],
message="hello",
).text
assert response == "the model response"
tx = events[0]
assert tx["type"] == "transaction"
span = tx["spans"][0]
assert span["op"] == "ai.chat_completions.create.cohere"
assert span["data"]["ai.model_id"] == "some-model"
if send_default_pii and include_prompts:
assert "some context" in span["data"]["ai.input_messages"][0]["content"]
assert "hello" in span["data"]["ai.input_messages"][1]["content"]
assert "the model response" in span["data"]["ai.responses"]
else:
assert "ai.input_messages" not in span["data"]
assert "ai.responses" not in span["data"]
assert span["measurements"]["ai_completion_tokens_used"]["value"] == 10
assert span["measurements"]["ai_prompt_tokens_used"]["value"] == 20
assert span["measurements"]["ai_total_tokens_used"]["value"] == 30
# noinspection PyTypeChecker
@pytest.mark.parametrize(
"send_default_pii, include_prompts",
[(True, True), (True, False), (False, True), (False, False)],
)
def test_streaming_chat(sentry_init, capture_events, send_default_pii, include_prompts):
sentry_init(
integrations=[CohereIntegration(include_prompts=include_prompts)],
traces_sample_rate=1.0,
send_default_pii=send_default_pii,
)
events = capture_events()
client = Client(api_key="z")
HTTPXClient.send = mock.Mock(
return_value=httpx.Response(
200,
content="\n".join(
[
json.dumps({"event_type": "text-generation", "text": "the model "}),
json.dumps({"event_type": "text-generation", "text": "response"}),
json.dumps(
{
"event_type": "stream-end",
"finish_reason": "COMPLETE",
"response": {
"text": "the model response",
"meta": {
"billed_units": {
"output_tokens": 10,
"input_tokens": 20,
}
},
},
}
),
]
),
)
)
with start_transaction(name="cohere tx"):
responses = list(
client.chat_stream(
model="some-model",
chat_history=[ChatMessage(role="SYSTEM", message="some context")],
message="hello",
)
)
response_string = responses[-1].response.text
assert response_string == "the model response"
tx = events[0]
assert tx["type"] == "transaction"
span = tx["spans"][0]
assert span["op"] == "ai.chat_completions.create.cohere"
assert span["data"]["ai.model_id"] == "some-model"
if send_default_pii and include_prompts:
assert "some context" in span["data"]["ai.input_messages"][0]["content"]
assert "hello" in span["data"]["ai.input_messages"][1]["content"]
assert "the model response" in span["data"]["ai.responses"]
else:
assert "ai.input_messages" not in span["data"]
assert "ai.responses" not in span["data"]
assert span["measurements"]["ai_completion_tokens_used"]["value"] == 10
assert span["measurements"]["ai_prompt_tokens_used"]["value"] == 20
assert span["measurements"]["ai_total_tokens_used"]["value"] == 30
def test_bad_chat(sentry_init, capture_events):
sentry_init(integrations=[CohereIntegration()], traces_sample_rate=1.0)
events = capture_events()
client = Client(api_key="z")
HTTPXClient.request = mock.Mock(
side_effect=httpx.HTTPError("API rate limit reached")
)
with pytest.raises(httpx.HTTPError):
client.chat(model="some-model", message="hello")
(event,) = events
assert event["level"] == "error"
@pytest.mark.parametrize(
"send_default_pii, include_prompts",
[(True, True), (True, False), (False, True), (False, False)],
)
def test_embed(sentry_init, capture_events, send_default_pii, include_prompts):
sentry_init(
integrations=[CohereIntegration(include_prompts=include_prompts)],
traces_sample_rate=1.0,
send_default_pii=send_default_pii,
)
events = capture_events()
client = Client(api_key="z")
HTTPXClient.request = mock.Mock(
return_value=httpx.Response(
200,
json={
"response_type": "embeddings_floats",
"id": "1",
"texts": ["hello"],
"embeddings": [[1.0, 2.0, 3.0]],
"meta": {
"billed_units": {
"input_tokens": 10,
}
},
},
)
)
with start_transaction(name="cohere tx"):
response = client.embed(texts=["hello"], model="text-embedding-3-large")
assert len(response.embeddings[0]) == 3
tx = events[0]
assert tx["type"] == "transaction"
span = tx["spans"][0]
assert span["op"] == "ai.embeddings.create.cohere"
if send_default_pii and include_prompts:
assert "hello" in span["data"]["ai.input_messages"]
else:
assert "ai.input_messages" not in span["data"]
assert span["measurements"]["ai_prompt_tokens_used"]["value"] == 10
assert span["measurements"]["ai_total_tokens_used"]["value"] == 10
def test_span_origin_chat(sentry_init, capture_events):
sentry_init(
integrations=[CohereIntegration()],
traces_sample_rate=1.0,
)
events = capture_events()
client = Client(api_key="z")
HTTPXClient.request = mock.Mock(
return_value=httpx.Response(
200,
json={
"text": "the model response",
"meta": {
"billed_units": {
"output_tokens": 10,
"input_tokens": 20,
}
},
},
)
)
with start_transaction(name="cohere tx"):
client.chat(
model="some-model",
chat_history=[ChatMessage(role="SYSTEM", message="some context")],
message="hello",
).text
(event,) = events
assert event["contexts"]["trace"]["origin"] == "manual"
assert event["spans"][0]["origin"] == "auto.ai.cohere"
def test_span_origin_embed(sentry_init, capture_events):
sentry_init(
integrations=[CohereIntegration()],
traces_sample_rate=1.0,
)
events = capture_events()
client = Client(api_key="z")
HTTPXClient.request = mock.Mock(
return_value=httpx.Response(
200,
json={
"response_type": "embeddings_floats",
"id": "1",
"texts": ["hello"],
"embeddings": [[1.0, 2.0, 3.0]],
"meta": {
"billed_units": {
"input_tokens": 10,
}
},
},
)
)
with start_transaction(name="cohere tx"):
client.embed(texts=["hello"], model="text-embedding-3-large")
(event,) = events
assert event["contexts"]["trace"]["origin"] == "manual"
assert event["spans"][0]["origin"] == "auto.ai.cohere"
|
