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

referrerpolicy="no-referrer"
style="max-width:100%;height:auto;display:block;margin:0 auto;">

Exciting New Deepgram‑Microsoft Teams Bridge Now Available on PyPI

**Introduction**
Developers looking to embed real‑time voice intelligence into Microsoft Teams meetings now have a ready‑made solution. The Deepgram‑Microsoft Teams bridge, released today on PyPI, lets a Deepgram Voice Agent sit directly in a Teams call without any audio transcoding. By terminating the StandIn media‑bridge wire protocol on one end and opening a Deepgram Voice Agent WebSocket on the other, the bridge passes PCM 16 kHz audio verbatim in both directions. The result is low‑latency transcription, barge‑in capability, and a plug‑in point for custom client‑side tools—vision, sentiment analysis, or any other AI model you wish to run alongside the conversation.

**Key Developments**
The package, named `deepgram-teams-bridge`, installs with a single `pip install` command and exposes a lightweight Python API. Core features include:

* **Zero‑transcode pipeline** – Audio stays in PCM 16 kHz format, preserving fidelity and eliminating extra processing delay.
* **Bidirectional barge‑in** – Users can interrupt the agent mid‑utterance, and the agent can listen while speaking, mimicking natural human dialogue.
* **Extensible tooling** – A simple callback interface lets developers attach vision models, language‑understanding modules, or custom analytics without touching the bridge itself.
* **StandIn compatibility** – The bridge speaks the same wire protocol that Teams expects for media relays, so no server‑side changes are required in the Teams tenant.

Early adopters report sub‑200 ms end‑to