fennec-asr 0.1.0

Python SDK for the Fennec ASR API

fennec-asr (Python SDK)

A small, friendly Python SDK for the Fennec ASR API. It supports:

• Batch transcription (HTTP) – upload a file or provide a URL, then poll until complete.
• Realtime transcription (WebSocket) – stream raw PCM audio bytes and receive partial/final results.
• One-liner convenience – transcribe("sample.mp3") using FENNEC_API_KEY from your environment.
• CLI – fennec-asr <file-or-url> prints the transcript.

API base: https://asr-api-hso0.onrender.com/api/v1 (configurable)

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Install

pip install fennec-asr

Optional live-microphone helper (via sounddevice):

pip install sounddevice numpy

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Quickstarts

1) One-liner (batch)

from fennec_asr import transcribe

# FENNEC_API_KEY must be set in your env
print(transcribe("sample.mp3"))

Environment:

export FENNEC_API_KEY="sk_***"
# optional:
# export FENNEC_BASE_URL="https://your-deployment/api/v1"

2) Batch with options

from fennec_asr import FennecASRClient

client = FennecASRClient(api_key="sk_***")

job_id = client.submit_url(
    "https://example.com/audio.mp3",
    context="Lightly punctuate. Keep acronyms uppercase.",
    apply_contextual_correction=False,
    formatting={"newline_pause_threshold": 0.65, "double_newline_pause_threshold": 0.7},
)

final = client.wait_for_completion(job_id, timeout_s=300)
if final["status"] == "completed":
    print(final["transcript"])
else:
    print("Failed:", final.get("transcript"))

3) Realtime (WebSocket)

import asyncio
from fennec_asr import Realtime

async def main():
    rt = Realtime("sk_***").on("final", print).on("error", lambda e: print("ERR:", e))
    async with rt:
        # Send 16kHz, mono, 16-bit PCM bytes (no helper; bring your own frames)
        await rt.send_bytes(b"...")
        await rt.send_eos()
        async for _ in rt.messages():  # drain until server closes
            pass

asyncio.run(main())

To receive only “complete thoughts”, construct with Realtime("sk_***", detect_thoughts=True) and subscribe to .on("thought", ...).

4) CLI

fennec-asr sample.mp3
# or:
fennec-asr "https://example.com/audio.mp3"
# with options:
fennec-asr sample.mp3 --context "meeting notes" --apply-correction --formatting '{"newline_pause_threshold":0.65}'

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API

FennecASRClient(api_key: str, base_url: str = DEFAULT_BASE_URL, timeout: int = 60)

• submit_file(path, context=None, apply_contextual_correction=False, formatting=None) -> job_id
• submit_url(audio_url, context=None, apply_contextual_correction=False, formatting=None) -> job_id
• get_status(job_id) -> dict
• wait_for_completion(job_id, poll_interval_s=3.0, timeout_s=300.0) -> dict
• transcribe_file(path, ...) -> str (submit + wait)

Realtime(api_key: str, *, ws_url=..., sample_rate=16000, channels=1, detect_thoughts=False, ...)

Event-driven WS client:

• Register events with .on("partial"|"final"|"thought"|"open"|"close"|"error", callback)
• await open() / close() (or use async with)
• await send_bytes(chunk: bytes) – raw 16kHz mono 16-bit PCM
• await send_eos()
• async for msg in messages(): ... – raw JSON frames if you want lower-level access

Back-compat alias: StreamingSession = Realtime.

Convenience

• transcribe(source, *, context=None, apply_contextual_correction=False, formatting=None, timeout_s=300.0) -> str
• get_default_client() – reads FENNEC_API_KEY / FENNEC_BASE_URL from env.

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Errors

Exceptions live in fennec_asr.exceptions:

• AuthenticationError – 401/403
• NotFoundError – 404
• APIError – other non-2xx or SDK-level errors
• FennecASRError – base class

The client surfaces server messages; future versions may include request_id and structured problem details if the server provides them.

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Notes & Expectations

• Audio format (WS): 16kHz, mono, 16-bit PCM (int16). Convert with ffmpeg:

  ffmpeg -y -i input.wav -ac 1 -ar 16000 -acodec pcm_s16le output.pcm
  

  Then read bytes from output.pcm.
• Formatting options: pass a dict; the SDK will JSON-encode when required.
• Idempotency & retries: basic happy-path covered; advanced policies can be added (see roadmap).

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Development

# setup
python -m venv .venv && source .venv/bin/activate
pip install -U pip build twine pytest

# run tests
pytest -q

# build & upload (needs PyPI creds)
python -m build
twine upload dist/*

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License

MIT © Fennec ASR