Mistral AI

pip install openinference-instrumentation-mistralai

pip install openinference-instrumentation-mistralai mistralai arize-phoenix opentelemetry-sdk opentelemetry-exporter-otlp

python -m phoenix.server.main serve

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)))
# Optionally, you can also print the spans to the console.
tracer_provider.add_span_processor(SimpleSpanProcessor(ConsoleSpanExporter()))
trace_api.set_tracer_provider(tracer_provider)

MistralAIInstrumentor().instrument()


if __name__ == "__main__":
    client = MistralClient()
    response = client.chat(
        model="mistral-large-latest",
        messages=[
            ChatMessage(
                content="Who won the World Cup in 2018?",
                role="user",
            )
        ],
    )
    print(response.choices[0].message.content)

export MISTRAL_API_KEY=[your_key_here]

python your_file.py