Ollama Integration

Updated on Aug 14, 2026

Use this integration when your app is implemented in Python or .NET.

Setup

Python.NET

1. Install SDK

bash

pip install progress-observability

2. Instrument your app

python

Observability.instrument(
    app_name=os.getenv("OBSERVABILITY_APP_NAME"),
    api_key=os.getenv("OBSERVABILITY_API_KEY")
)

3. Complete example

python

import os
from dotenv import load_dotenv

from ollama import Client
from progress.observability import Observability

load_dotenv()

Observability.instrument(
    app_name=os.getenv("OBSERVABILITY_APP_NAME"),
    api_key=os.getenv("OBSERVABILITY_API_KEY"),
)

model = os.getenv("OLLAMA_MODEL", "llama3.1:8b")
base_url = os.getenv("OLLAMA_BASE_URL", "http://localhost:11434")

client = Client(host=base_url)

response = client.chat(
    model=model,
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is the capital of France?"},
    ],
    options={"temperature": 0.0, "num_predict": 64},
)


Observability.shutdown()

To get a richer trace tree when building agents on top of this provider, use the @agent, @tool, @workflow, or @task decorators. See the Python SDK for details.

1. Install SDK

bash

dotnet add package Progress.Observability.Instrumentation

2. Instrument your app

cs

try
{
 chatClient = chatClient.AddObservability((options) =>
 {
 options.AppName = Environment.GetEnvironmentVariable("OBSERVABILITY_APP_NAME")!;
 options.ApiKey = Environment.GetEnvironmentVariable("OBSERVABILITY_API_KEY")!;
 });
 
 // Your code here.
}
finally
{
 // Call the Shutdown() method before exiting your agent to flush any remaining data.
 ObservabilityTracer.Shutdown();
}

To get a richer trace tree when building agents on top of this provider, use custom spans. See the .NET SDK for details.