Summary：Exciting New Cartesia‑Microsoft Teams Bridge Now Available on PyPI **Introduction** Developers loo

Exciting New Cartesia‑Microsoft Teams Bridge Now Available on PyPI

**Introduction**
Developers looking to embed intelligent voice agents into Microsoft Teams meetings now have a ready‑to‑install solution. The Cartesia‑Microsoft Teams bridge, released today on the Python Package Index (PyPI), lets a Cartesia Line voice agent sit directly in a Teams call without any audio transcoding. By terminating the StandIn media‑bridge wire protocol on one side and the Cartesia Line agent WebSocket on the other, the bridge passes raw base64‑encoded PCM 16 kHz streams verbatim in both directions, preserving latency and enabling true barge‑in behavior.

**Key Developments**
The bridge is packaged as a lightweight Python library (`cartesia-teams-bridge`) that installs with a single `pip install` command. Once added to a project, developers instantiate a `TeamsCartesiaBridge` object, supply their Teams meeting credentials and the WebSocket URL for the Cartesia Line agent, and the library handles the rest. Key features include:

- **Zero‑transcoding pipeline**: Audio frames remain in their original base64 PCM form, eliminating extra processing delay and potential quality loss.
- **Bidirectional barge‑in support**: Users can interrupt the agent mid‑utterance, and the agent can likewise interject, mirroring natural conversation flow.
- **StandIn protocol compliance**: The bridge faithfully implements the StandIn media‑bridge wire protocol used by Teams for custom media streams, ensuring compatibility with existing Teams‑based workflows.
- **Minimal dependencies**: Only `websockets` and `aiohttp` are required, keeping the footprint small for containerized or edge deployments.

Early adopters report sub‑50 ms end‑to‑end latency and crisp audio quality comparable to native Teams voice interactions.

**Industry Analysis**
The launch reflects a broader shift toward programmable, AI‑driven collaboration tools. As enterprises seek to automate routine call handling—such as appointment scheduling, FAQ triage, or real‑