Add Azure integration

[aavetis]

note! did not test / compile docs locally; did the entire change in browser - please verify

[nirga]

Thanks @aavetis! I've added some 2 missing references (and also updated the README so people will know how to test it locally).

Reg the docs specifically - I'm not sure why you need all the code you wrote. Specifically around manually creating spans, and re-defining the span processor. This should also work:

from traceloop.sdk import Traceloop
from traceloop.sdk.decorators import workflow
from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter

import openai  # Ensure you have the openai library installed

# Configure the tracer provider to export traces to Azure Application Insights
exporter = AzureMonitorTraceExporter(connection_string="INSERT_CONNECTION_STRING_HERE")
Traceloop.init(app_name="your_app_name", exporter=exporter)


@workflow(name="llm_execution")
def execute_llm():
        # Replace with your actual OpenAI API call
        response = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=[{"role": "user", "content": "Hello world"}],
            max_tokens=60
        )

        return response['choices'][0]['message']['content']

if __name__ == "__main__":
    execute_llm()

If I'm right, then I'd try to keep this simple and just mention how to initialize the Azure exporter and pass it to the Traceloop.init call:

exporter = AzureMonitorTraceExporter(connection_string="INSERT_CONNECTION_STRING_HERE")
Traceloop.init(app_name="your_app_name", exporter=exporter)

[nirga]

@aavetis do you plan to continue working on that?

[aavetis]

apologies for the delay

[nirga]

Thanks @aavetis! :) Mind rebasing so I can merge this?