Clash S.

Thanks Roger Y. , it works. For inference part, vectore store (embeddings) visualization I can send the vectors manually using c#?

Thank you so much Roger Y., my sdk: % dotnet --list-sdks 8.0.101 [C:\Program Files\dotnet\sdk] Can you send me your .csproj pls? thx :)

thx Roger Y. I'm trying to execute the following code, but in my instance of phoenix in http://localhost:6006/ doesn't track anything but if i use the code in python works, can you hel me pls? ASP.NET.CORE using OpenTelemetry.Resources; using OpenTelemetry.Trace; using OpenTelemetry.Exporter; using Microsoft.AspNetCore.Builder; using Microsoft.Extensions.DependencyInjection; using Microsoft.Extensions.Hosting; using System.Diagnostics; var builder = WebApplication.CreateBuilder(args); builder.Logging.ClearProviders(); builder.Services.AddOpenTelemetryTracing(tracerProviderBuilder => { tracerProviderBuilder .SetResourceBuilder( ResourceBuilder.CreateDefault() .AddService(builder.Environment.ApplicationName)) .AddAspNetCoreInstrumentation() .AddHttpClientInstrumentation() .AddOtlpExporter(options => { options.Endpoint = new Uri("http://127.0.0.1:6006/v1/traces"); options.Protocol = OtlpExportProtocol.HttpProtobuf; }); }); var app = builder.Build(); app.MapGet("/", () => "Hello from OpenTelemetry Tracing!"); app.MapGet("/simulate-llm-call", () => { using var activitySource = new ActivitySource("SimulateLLMCall"); using var activity = activitySource.StartActivity("LLM Call Simulation", ActivityKind.Client); activity?.SetTag("llm.model_name", "gpt-3.5-turbo"); activity?.SetTag("llm.function_call", "{function_name: 'generate_text', args: ['Hello, world!']}"); activity?.SetTag("llm.response", "Hello, this is a response from a simulated LLM call."); return "LLM call simulated and traced!"; }); app.Run(); python code: import openai from openinference.instrumentation.openai import OpenAIInstrumentor 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) OpenAIInstrumentor().instrument() if __name__ == "__main__": client = openai.OpenAI() response = client.chat.completions.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": "write a haiku."}], max_tokens=20, ) print(response.choices[0].message.content)

Thanks Roger Y. for the reply, but can I track only the traces this way? Can I also track evaluation metrics? is there a NET example where a phoenix server is started with the equivalent command in python: "python -m phoenix.server.main serve" and traces and evals are sent? A thousand thanks