Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

moda_ai-0.1.4.tar.gz (266.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

moda_ai-0.1.4-py3-none-any.whl (85.4 kB view details)

Uploaded Python 3

File details

Details for the file moda_ai-0.1.4.tar.gz.

File metadata

  • Download URL: moda_ai-0.1.4.tar.gz
  • Upload date:
  • Size: 266.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for moda_ai-0.1.4.tar.gz
Algorithm Hash digest
SHA256 951ffe99cb0a4fb68fd7af7e1de5cf9ca8289186feb2e6f3084e74f55274a6b4
MD5 b12b7197041f73b4cc4d84e5a9451bea
BLAKE2b-256 49c49040d3ec7bd4ae085c665f349da6167b699aa2b92072f72eed5e795ac277

See more details on using hashes here.

Provenance

The following attestation bundles were made for moda_ai-0.1.4.tar.gz:

Publisher: publish.yml on ModaLabs/moda-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file moda_ai-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: moda_ai-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 85.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for moda_ai-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 cb9be6dc574068a65f4dd2151b9ee555e8021cade808d92226dc652244813e1f
MD5 c8ba3a0cd05896719f19afde20f25bc8
BLAKE2b-256 32a0e5fca6b9b9b8604780c41078de15473f42f954a6e5580215556a5feca03f

See more details on using hashes here.

Provenance

The following attestation bundles were made for moda_ai-0.1.4-py3-none-any.whl:

Publisher: publish.yml on ModaLabs/moda-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page