forked from Arize-ai/openinference
-
Notifications
You must be signed in to change notification settings - Fork 0
/
chat_completions_streaming.py
31 lines (27 loc) · 1.15 KB
/
chat_completions_streaming.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
from mistralai.client import MistralClient
from mistralai.models.chat_completion import ChatMessage
from openinference.instrumentation.mistralai import MistralAIInstrumentor
from opentelemetry import trace as trace_api
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.trace.export import ConsoleSpanExporter, SimpleSpanProcessor
endpoint = "http://127.0.0.1:6006/v1/traces"
tracer_provider = trace_sdk.TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter(endpoint)))
tracer_provider.add_span_processor(SimpleSpanProcessor(ConsoleSpanExporter()))
trace_api.set_tracer_provider(tracer_provider)
MistralAIInstrumentor().instrument()
if __name__ == "__main__":
client = MistralClient()
response_stream = client.chat_stream(
model="mistral-large-latest",
messages=[
ChatMessage(
content="Who won the World Cup in 2018?",
role="user",
)
],
)
for chunk in response_stream:
print(chunk.choices[0].delta.content, end="")
print()