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Moda SDK - LLM Observability with Automatic Conversation Threading

Project description

moda-ai

Moda's Python SDK for LLM observability with automatic conversation threading. Built on OpenTelemetry.

Installation

pip install moda-ai

Quick Start

import moda
from openai import OpenAI

moda.init("YOUR_MODA_API_KEY")

# Set conversation ID for your session (recommended)
moda.conversation_id = "session_" + session_id

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)

moda.flush()

Conversation Tracking

Setting Conversation ID (Recommended)

For production use, explicitly set a conversation ID to group related LLM calls:

# Property-style (recommended)
moda.conversation_id = "support_ticket_123"
client.chat.completions.create(...)
moda.conversation_id = None  # clear when done

# Or use the setter function
moda.set_conversation_id_value("support_ticket_123")
moda.set_conversation_id_value(None)  # clear

# Or use context manager (scoped)
with moda.set_conversation_id("support_ticket_123"):
    client.chat.completions.create(...)

Setting User ID

Associate LLM calls with specific users:

moda.user_id = "user_12345"
client.chat.completions.create(...)
moda.user_id = None  # clear

Automatic Fallback

If you don't set a conversation ID, the SDK automatically computes one from the first user message and system prompt. This works for simple use cases but explicit IDs are recommended for production.

Full Documentation

See the main repository README for complete documentation.

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