Overview

Python SDK

Client library for the InteractiveAI observability platform.

Synopsis

Provides OpenTelemetry-based tracing, automatic LLM framework instrumentation, prompt management, dataset evaluation, and direct API access to InteractiveAI.

Install

pip install interactiveai

With extras for LLM framework auto-instrumentation:

pip install "interactiveai[openai]"
pip install "interactiveai[langchain]"

Quick Start

import interactiveai

client = interactiveai.Interactive(
    public_key="<INTERACTIVEAI_PUBLIC_KEY>",
    secret_key="<INTERACTIVEAI_SECRET_KEY>",
)

with client.start_as_current_span(name="my-operation") as span:
    result = do_work()
    span.update(output=result)

client.flush()

Options

Variable	Default	Description
INTERACTIVEAI_PUBLIC_KEY	—	API public key
INTERACTIVEAI_SECRET_KEY	—	API secret key
INTERACTIVEAI_HOST	https://app.interactive.ai	API endpoint
INTERACTIVEAI_DEBUG	false	Enable debug logging
INTERACTIVEAI_TRACING_ENABLED	true	Enable/disable tracing
INTERACTIVEAI_SAMPLE_RATE	1.0	Sampling rate (0.0–1.0)