Skip to main content

Bridge Microsoft Teams voice/video calls to an ElevenLabs Agent. Terminates the StandIn media bridge wire protocol on one side and the ElevenLabs Agent WebSocket on the other. No transcoding: PCM 16k verbatim both ways, barge-in, on-demand vision, call governors.

Project description

elevenlabs-msteams-bridge (Python)

Bridge Microsoft Teams voice/video calls to an ElevenLabs Agent.

PyPI package: elevenlabs-msteams-bridge - the -py suffix is only in this repository's name, to distinguish it from the Node.js sibling repo.

This is the Python sibling of @komaa/elevenlabs-msteams-bridge (Node.js) - same wire contract, same environment variables, drop-in interchangeable behind the same .env file. It terminates the StandIn media bridge wire protocol on one side and the ElevenLabs Agent WebSocket on the other:

  • No transcoding: both sides speak base64 PCM 16 kHz mono - the hot path is copy-only.
  • Barge-in: ElevenLabs interruptions map to playback flushes, with ghost-audio filtering.
  • On-demand vision: the agent's look client tool answers from the caller's camera or screen-share, via your own OpenAI-compatible vision endpoint (frames never persisted) or via ElevenLabs multimodal upload (gated on Teams recording).
  • Call governors: a bridge-side hard time cap with a deterministic TTS goodbye, plus the worker-side governor.
  • Hardened: HMAC-signed upgrades with replay guard, connection caps, SSRF-guarded image fetches, dead-peer detection, graceful SIGTERM drain, Prometheus /metrics.

StandIn is the hosted media bridge that joins the Teams call and dials this bridge - you run no Teams media stack yourself. Docs: docs.komaa.com.

Install

pip install elevenlabs-msteams-bridge

Requires Python 3.10+.

Run

ELEVENLABS_API_KEY=sk_... \
ELEVENLABS_AGENT_ID=agent_... \
WORKER_SHARED_SECRET=... \
elevenlabs-msteams-bridge

A .env file in the working directory is loaded automatically (existing environment wins). The bridge listens on ws://0.0.0.0:8080/voice/msteams/stream by default; StandIn appends /{callId} per call. Expose the port with a tunnel and register the wss:// URL as your identity's Agent voice URL in the StandIn dashboard.

Your ElevenLabs agent's audio input and output format must be PCM 16000 Hz - the bridge ends the call with a clear error if the agent negotiates anything else.

Embed

import asyncio
from elevenlabs_msteams_bridge import load_config, start_server

async def main():
    server = await start_server(load_config())
    await asyncio.Event().wait()  # run until cancelled

asyncio.run(main())

Pass your own async vision callable to answer the agent's look tool with any model you like - the raw frame never leaves your process:

async def describe(frame: dict, question: str) -> str:
    ...  # call your vision model with frame["dataBase64"] / frame["mime"]
    return "a person holding a badge"

server = await start_server(load_config(), vision=describe)

Configuration

Everything is environment variables; names are identical to the Node package.

Variable Required Default Meaning
ELEVENLABS_API_KEY yes - Server-side ElevenLabs key (signed URLs, file upload, TTS).
ELEVENLABS_AGENT_ID yes - The agent that answers calls.
WORKER_SHARED_SECRET yes - Must equal the shared secret from StandIn pairing (HMAC upgrade check).
PORT / BIND no 8080 / 0.0.0.0 Listen port / bind address.
MAX_CALL_MINUTES no 0 (off) Bridge-side hard cap per call; on expiry a goodbye is spoken, then the call ends.
EL_TTS_VOICE_ID no - Voice for the deterministic goodbye via standalone TTS.
EL_TTS_MODEL_ID no eleven_turbo_v2_5 TTS model for the goodbye line.
GOODBYE_TEXT / GOODBYE_GRACE_MS no (default line) / 8000 Goodbye wording and playout grace.
EL_FIRST_MESSAGE no - Greeting/disclosure override (must be allowlisted on the agent).
EL_HOST no api.elevenlabs.io Regional pins: api.us / api.eu.residency / api.in.residency / api.sg.residency .elevenlabs.io. Restricted to elevenlabs.io hosts.
EL_ENVIRONMENT / EL_AGENT_BRANCH_ID no - Staging environment / pinned agent branch.
VISION_API_URL / VISION_API_KEY / VISION_MODEL no - OpenAI-compatible chat-completions endpoint for the look tool (describe-then-inject).
HMAC_FRESHNESS_MS no 60000 Allowed clock skew + replay window for the signed upgrade.
MAX_CONNECTIONS / MAX_CONNECTIONS_PER_IP no 64 / = total Connection caps.
PRE_START_TIMEOUT_MS no 10000 Drop a worker that authenticates but never sends session.start.
WORKER_IDLE_TIMEOUT_MS no 90000 Dead-peer window (the worker heartbeats every 30 s).
TRUST_PROXY_XFF no false Trust the first X-Forwarded-For hop for the per-IP cap.
TLS_CERT_PATH / TLS_KEY_PATH no - Serve native TLS (wss). Otherwise front the plain WS with a TLS terminator.
LOG_TRANSCRIPTS no false Log transcripts - still gated on Teams recording being active.
LOG_LEVEL no info debug / info / warn / error.

Endpoints

  • GET /healthz - liveness.
  • GET /metrics - Prometheus counters (calls, rejections, relayed/dropped frames).
  • GET /{...}/{callId} + WebSocket upgrade - the worker wire, HMAC-signed with X-OpenClawTeamsBridge-Timestamp / X-OpenClawTeamsBridge-Signature over "{timestampMs}.{callId}".

Notes for operators:

  • /healthz and /metrics are unauthenticated (only the WebSocket upgrade is HMAC-gated). They expose no call content - just liveness and counters - but if you would rather not leak call volumes, keep the port behind your ingress/tunnel rules.
  • One bridge process serves one agent id (ELEVENLABS_AGENT_ID). Run one process per agent if you route multiple agents.

Vision and recording

The look tool prefers your VISION_API_URL endpoint: the frame is described transiently and only the text enters the conversation. Without one, the bridge falls back to uploading the frame to ElevenLabs (multimodal) - that persists the frame with a third party, so it is only allowed while Teams recording is active. Note that even path-2 descriptions become ElevenLabs conversation content, which ElevenLabs retains per your agent's settings; enable the agent's zero-retention mode if callers' surroundings must not be stored.

License

MIT (c) Alaaeldin Elhenawy

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

elevenlabs_msteams_bridge-0.1.0.tar.gz (34.7 kB view details)

Uploaded Source

Built Distribution

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

elevenlabs_msteams_bridge-0.1.0-py3-none-any.whl (41.0 kB view details)

Uploaded Python 3

File details

Details for the file elevenlabs_msteams_bridge-0.1.0.tar.gz.

File metadata

File hashes

Hashes for elevenlabs_msteams_bridge-0.1.0.tar.gz
Algorithm Hash digest
SHA256 5de05a4092f14e314e00d2ca4a2e66ef452d4a4e919c491fd4102bc8f0b1cab2
MD5 59f872fb929097e041baca698e8dc6aa
BLAKE2b-256 3e12dc3ec3b631a77306ab80e8fcaa43ff822a8f170088a5b7ebfdefd4f1423a

See more details on using hashes here.

Provenance

The following attestation bundles were made for elevenlabs_msteams_bridge-0.1.0.tar.gz:

Publisher: publish.yml on komaa-com/elevenlabs-msteams-bridge-py

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

File details

Details for the file elevenlabs_msteams_bridge-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for elevenlabs_msteams_bridge-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 cf0733a928b44ca1eeb57da1b6cc2fdaf863c473b421ad774515aefbb31c23eb
MD5 fb8c81b160065c539620361f35e4ad13
BLAKE2b-256 b969e054c3d337c1d9d9b06217ea84c8cbb65e3f9fea6dc1bd1750830392f049

See more details on using hashes here.

Provenance

The following attestation bundles were made for elevenlabs_msteams_bridge-0.1.0-py3-none-any.whl:

Publisher: publish.yml on komaa-com/elevenlabs-msteams-bridge-py

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