Python SDK - Eka Developer Platform APIs

This is the new EkaScribe Python SDK (scribe-python-sdk), built on the MedScribeAlliance Protocol. It replaces the legacy ekacare Python SDK, which is now deprecated.

Give it medical audio (a consultation or dictation) and get back structured template results — SOAP notes, medication lists, EMR-ready documents. The SDK handles auth, sessions, voice-activity detection, upload, and result polling for you.

from scribe_sdk import ScribeClient

with ScribeClient() as client:
    s = client.create_session()
    client.upload_audio_file(s.session_id, "visit.wav")
    result = client.wait_for_results(s.session_id)
    print(result.templates)

That snippet is a full transcription-to-notes round trip. Everything below is detail.

Integrate in 60 seconds

Install

Install directly from the Git repository (not yet on PyPI):

pip install "scribe-python-sdk[audio] @ git+https://github.com/eka-care/scribe-python-sdk.git"
# or, with uv:  uv add "scribe-python-sdk[audio] @ git+https://github.com/eka-care/scribe-python-sdk.git"

The [audio] extra adds local file decoding + mic capture. Omit it (drop [audio]) if you only send raw PCM you already have.

Set credentials

Create a .env file next to your script (it’s auto-loaded):

.env

SCRIBE_ENV=prod                                  # "dev" -> api.dev.eka.care
SCRIBE_CLIENT_ID=your-client-id
SCRIBE_CLIENT_SECRET=your-client-secret
SCRIBE_DEFAULT_TEMPLATES=eka_emr_template,clinical_notes_template

Get your client_id / client_secret from Eka Care. They live only in the environment — the SDK refuses to read them from a config file, so they never leak into source control.

Run

Run the snippet at the top of this page. Done — no other setup. The SDK auto-loads .env, logs in, picks the right host from SCRIBE_ENV, and applies SCRIBE_DEFAULT_TEMPLATES so you don’t repeat them on every call.

The three ways to send audio

Pick whichever fits your input. They all finish the same way: wait_for_results(session_id).

A file (simplest)
Raw PCM
Live streaming (WebSocket)

from scribe_sdk import ScribeClient

with ScribeClient() as client:
    s = client.create_session()
    client.upload_audio_file(s.session_id, "visit.wav")   # decode + VAD locally, upload
    result = client.wait_for_results(s.session_id)
    print(result.status, result.templates)

Accepts .wav / .mp3 / .m4a / .webm / .ogg — a path or raw bytes.

Already have 16-bit mono PCM (e.g. captured from a mic)? Skip decoding:

from scribe_sdk import ScribeClient

with ScribeClient() as client:
    s = client.create_session()
    client.upload_pcm(s.session_id, pcm_bytes, sample_rate=16000)
    result = client.wait_for_results(s.session_id)

Real-time audio over a WebSocket. Streaming is async-only:

from scribe_sdk import AsyncScribeClient

async with AsyncScribeClient() as client:
    async with await client.open_stream() as stream:
        async for frame in mic_frames():       # raw 16-bit LE PCM, mono, 16 kHz
            await stream.send_audio(frame)
        await stream.stop()                    # flush + end the session
    result = await client.wait_for_results(stream.session_id)

Everything except streaming has both a sync (ScribeClient) and async (AsyncScribeClient) flavor with identical method names — just add await.

That’s the whole surface: create_session → send audio → wait_for_results.

Reading the result

wait_for_results() returns a SessionStatusResponse:

result = client.wait_for_results(s.session_id)

result.status        # "completed" | "partial" | "failed" | "expired" | ...
result.transcript    # full transcript text
result.templates     # list of {template_id: {...}} — one entry per generated document

templates is a list of single-key dicts (one template can yield several documents), so iterate it like this:

for doc in result.templates:
    for template_id, payload in doc.items():
        print(template_id, payload["status"])
        print(payload.get("data"))      # the structured note for this template

Full working example: FastAPI relay

A browser can’t hold your client_id / secret, so the common pattern is a thin server that uses the SDK. Copy this into server.py and run uvicorn server:app — it exposes start / upload / poll endpoints your frontend can call.

server.py

from fastapi import FastAPI, UploadFile, HTTPException
from contextlib import asynccontextmanager
from scribe_sdk import AsyncScribeClient


@asynccontextmanager
async def lifespan(app: FastAPI):
    app.state.scribe = AsyncScribeClient()      # reads .env once
    app.state.chunks = {}
    yield
    await app.state.scribe.aclose()


app = FastAPI(lifespan=lifespan)


@app.post("/api/sessions")
async def start():
    s = await app.state.scribe.create_session()
    app.state.chunks[s.session_id] = 0
    return {"session_id": s.session_id}


@app.post("/api/sessions/{sid}/audio")
async def add_audio(sid: str, file: UploadFile):
    if sid not in app.state.chunks:
        raise HTTPException(404, "start a session first")
    data = await file.read()
    n = await app.state.scribe.upload_audio_file(
        sid, data, start_index=app.state.chunks[sid], end_session=False
    )
    app.state.chunks[sid] += n
    return {"chunks_uploaded": n}


@app.post("/api/sessions/{sid}/end")
async def end(sid: str):
    total = app.state.chunks.pop(sid, 0)
    await app.state.scribe.end_session(sid, audio_files_sent=total)
    return {"ok": True}


@app.get("/api/sessions/{sid}/results")
async def results(sid: str):
    status = await app.state.scribe.sessions.get(sid)   # poll this every ~1s from the browser
    return status.model_dump(exclude_none=True)

The official repo ships this plus a browser UI, a CLI, and a server-side script under examples/.

How it works

The SDK speaks the MedScribeAlliance Protocol and always runs voice-activity detection (VAD) on your machine — only speech-bounded audio is sent, never an un-VADded whole file. Both upload modes follow the same lifecycle:

Create session

create_session() → POST /voice/v1/sessions. Returns a session_id used by every later call. For streaming it also returns a wss:// URL.

Send audio

Chunked upload POSTs speech chunks; streaming sends PCM frames over the WebSocket. Audio lands in storage but isn’t processed yet.

End session

end_session() (or streaming’s stop()) → POST /voice/v1/sessions/{id}/end. This is the single trigger that commits the session and starts transcription. For streaming, closing the socket alone does not finalize — stop() always calls end for you.

Poll results

wait_for_results(session_id) → GET /voice/v1/sessions/{id} until a terminal status, then returns the templates.

Your business id (b_id) is derived from your token automatically — you never configure it.

Configuration

Everything has a sensible default; only credentials are required. Resolution order (highest wins): explicit kwargs › environment / .env › config file › defaults.

Environment variables

Variable	Purpose
`SCRIBE_CLIENT_ID` / `SCRIBE_CLIENT_SECRET`	Credentials (env-only).
`SCRIBE_ENV`	`prod` (default → `api.eka.care`) or `dev` (→ `api.dev.eka.care`).
`SCRIBE_DEFAULT_TEMPLATES`	Comma-separated templates used when you don’t pass `templates=`.
`SCRIBE_DEFAULT_MODEL`	`lite` (default) or `pro`.
`SCRIBE_BASE_URL` / `SCRIBE_AUTH_BASE_URL`	Override hosts directly (wins over `SCRIBE_ENV`).

Pass config inline (instead of env)

client = ScribeClient(
    env="dev",
    default_templates=["clinical_notes_template"],
    default_model="pro",
    client_id="...",          # or leave to the environment
    client_secret="...",
)

Per-call overrides

create_session() accepts the same options when you want to override config for one session:

s = client.create_session(
    templates=["eka_emr_template", "clinical_notes_template"],  # up to 2
    model="pro",
    session_mode="consultation",        # or "dictation" (default)
    language_hint=["en", "hi"],
    patient_details={"name": "...", "oid": "..."},
)

Reference

Templates

Template ID	Description
`clinical_notes_template`	Comprehensive structured clinical notes.
`eka_emr_template`	EMR-compatible format for electronic medical records.
`transcript_template`	Basic transcription with minimal structuring.

Models

Model	Description
`pro`	Most accurate.
`lite`	Lower latency (default).

Languages (`language_hint`)

en, hi, gu, kn, ml, ta, te, bn, mr, pa (ISO 639-1 codes).

Troubleshooting

No templates specified and no default_templates configured

Set SCRIBE_DEFAULT_TEMPLATES (or pass templates=[...] to create_session).

ModuleNotFoundError on file upload / mic capture

Install with the audio extra: pip install "scribe-python-sdk[audio] @ git+https://github.com/eka-care/scribe-python-sdk.git". It’s only needed for local decoding/VAD — raw-PCM and streaming work without it.

For help, contact support@eka.care.

​Integrate in 60 seconds

​The three ways to send audio

​Reading the result

​Full working example: FastAPI relay

​How it works

​Configuration

​Environment variables

​Pass config inline (instead of env)

​Per-call overrides

​Reference

​Templates

​Models

​Languages (language_hint)

​Troubleshooting

Integrate in 60 seconds

The three ways to send audio

Reading the result

Full working example: FastAPI relay

How it works

Configuration

Environment variables

Pass config inline (instead of env)

Per-call overrides

Reference

Templates

Models

Languages (`language_hint`)

Troubleshooting