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1. Installation

First install the traceAI package to access the observability framework

pip install traceAI-openai

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2. Set Environment Variables

Set up your environment variables to authenticate with FutureAGI.

import os

os.environ["FI_API_KEY"] = "your-futureagi-api-key"
os.environ["FI_SECRET_KEY"] = "your-futureagi-secret-key"

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3. Initialize Trace Provider

Set up the trace provider to create a new project in FutureAGI, establish telemetry data pipelines .

from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType

trace_provider = register(
    project_type=ProjectType.OBSERVE,
    project_name="OLLAMA 3.2",
)

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4. Instrument your Project

Use the OpenAI Instrumentor to instrument your project, as the OpenAI Client is utilized for interactions with Ollama. This step guarantees that all interactions are tracked and monitored. If you are using a different client to interact with Ollama, use that client’s Instrumentor instead.

from traceai_openai_agents import OpenAIAgentsInstrumentor

OpenAIAgentsInstrumentor().instrument(tracer_provider=trace_provider)

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5. Interact with Ollama

Interact with the Ollama as you normally would. Our Instrumentor will automatically trace and send the telemetry data to our platform. Make sure that Ollama is running and accessible from your project.

from openai import OpenAI

client = OpenAI(
    base_url = 'http://localhost:11434/v1',
    api_key='ollama',
)

response = client.chat.completions.create(
    model="llama3.2:1b",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is OpenAI?"},
        ]
    )

print(response.choices[0].message.content)

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