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118
...eninference/instrumentation/llama_index/cassettes/test_groq_astream_chat_token_count.yaml
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interactions: | ||
- request: | ||
body: '{"messages": [{"role": "user", "content": "Hello!"}], "model": "llama3-8b-8192", | ||
"stream": true, "temperature": 0.1}' | ||
headers: {} | ||
method: POST | ||
uri: https://api.groq.com/openai/v1/chat/completions | ||
response: | ||
body: | ||
string: 'data: {"id":"chatcmpl-3de22103-9266-4903-ba6b-a5ce224c638a","object":"chat.completion.chunk","created":1734384187,"model":"llama3-8b-8192","system_fingerprint":"fp_179b0f92c9","choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}],"x_groq":{"id":"req_01jf8nmy68fxxvgnfqz4m90h20"}} | ||
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data: [DONE] | ||
' | ||
headers: {} | ||
status: | ||
code: 200 | ||
message: OK | ||
version: 1 |
43 changes: 43 additions & 0 deletions
43
...entation-llama-index/tests/openinference/instrumentation/llama_index/test_token_counts.py
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from typing import Iterator | ||
|
||
import pytest | ||
from llama_index.core.base.llms.types import ChatMessage | ||
from llama_index.llms.groq import Groq # type: ignore[import-untyped] | ||
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter | ||
from opentelemetry.trace import TracerProvider | ||
|
||
from openinference.instrumentation.llama_index import LlamaIndexInstrumentor | ||
from openinference.semconv.trace import SpanAttributes | ||
|
||
|
||
@pytest.mark.vcr( | ||
decode_compressed_response=True, | ||
before_record_request=lambda _: _.headers.clear() or _, | ||
before_record_response=lambda _: {**_, "headers": {}}, | ||
) | ||
async def test_groq_astream_chat_token_count( | ||
in_memory_span_exporter: InMemorySpanExporter, | ||
) -> None: | ||
result = await Groq(model="llama3-8b-8192").astream_chat([ChatMessage(content="Hello!")]) | ||
async for _ in result: | ||
pass | ||
span = in_memory_span_exporter.get_finished_spans()[0] | ||
assert span.attributes | ||
assert span.attributes.get(LLM_TOKEN_COUNT_TOTAL) | ||
assert span.attributes.get(LLM_TOKEN_COUNT_COMPLETION) | ||
assert span.attributes.get(LLM_TOKEN_COUNT_TOTAL) | ||
|
||
|
||
@pytest.fixture(autouse=True) | ||
def instrument( | ||
tracer_provider: TracerProvider, | ||
in_memory_span_exporter: InMemorySpanExporter, | ||
) -> Iterator[None]: | ||
LlamaIndexInstrumentor().instrument(tracer_provider=tracer_provider) | ||
yield | ||
LlamaIndexInstrumentor().uninstrument() | ||
|
||
|
||
LLM_TOKEN_COUNT_COMPLETION = SpanAttributes.LLM_TOKEN_COUNT_COMPLETION | ||
LLM_TOKEN_COUNT_PROMPT = SpanAttributes.LLM_TOKEN_COUNT_PROMPT | ||
LLM_TOKEN_COUNT_TOTAL = SpanAttributes.LLM_TOKEN_COUNT_TOTAL |