PrismAI Python SDK

The PrismAI Python SDK covers the full platform: observability/tracing (OpenTelemetry-based, with OpenAI and LangChain integrations), datasets & experiments (offline evaluation and regression testing of prompt/model changes), LLM-as-a-judge and custom evaluations/scores, prompt management, and a full REST API client.

Installation

[!IMPORTANT] The SDK was rewritten in v4 and released in March 2026.

pip install prismai

Quickstart

# env: PRISMAI_PUBLIC_KEY, PRISMAI_SECRET_KEY, PRISMAI_BASE_URL

from prismai import get_client

prismai = get_client()

# Create a span using a context manager
with prismai.start_as_current_observation(as_type="span", name="process-request") as span:
    # Your processing logic here
    span.update(output="Processing complete")

    # Create a nested generation for an LLM call
    with prismai.start_as_current_observation(as_type="generation", name="llm-response", model="gpt-5.6") as generation:
        # Your LLM call logic here
        generation.update(output="Generated response")

# All spans are automatically closed when exiting their context blocks


# Flush events in short-lived applications
prismai.flush()