Skip to main content

LMNT text-to-speech provider adapter for genblaze

Project description

genblaze-lmnt

LMNT ultra-low-latency text-to-speech provider adapter for genblaze — real-time AI voice pipelines with SHA-256 provenance manifests on every clip.

genblaze-lmnt wraps LMNT's sub-second TTS API as a genblaze provider — ideal for real-time agent voices, live narration, and interactive media where latency matters. Compose into multi-step AI pipelines, persist outputs to Backblaze B2 or any S3-compatible store, and emit a tamper-evident provenance manifest for every run.

Why genblaze-lmnt

  • Ultra-low latency — LMNT is optimized for real-time voice; pairs well with genblaze AgentLoop.
  • Provenance by default — SHA-256-verified manifest on every clip; embed manifest directly into MP3.
  • Production-ready — retries, timeouts, step caching, moderation hooks.
  • Composable — chain LMNT narration with music (Stable Audio) + FFmpeg AV compositing.
  • Durable storage — plug genblaze-s3 in for Backblaze B2 / AWS S3 / R2 / MinIO persistence.

Models

Model Notes
lmnt-1 LMNT's fast TTS model

Install

pip install genblaze-lmnt

Registers the lmnt provider via entry points; genblaze-core discovers it automatically.

Quickstart — LMNT TTS

pip install genblaze-core genblaze-lmnt
export LMNT_API_KEY="..."
from genblaze_core import Modality, Pipeline
from genblaze_lmnt import LMNTProvider

run, manifest = (
    Pipeline("lmnt-tts-demo")
    .step(LMNTProvider(output_dir="output/audio"),
          model="lmnt-1",
          prompt="The quick brown fox jumps over the lazy dog.",
          modality=Modality.AUDIO, voice="lily")
    .run(timeout=30)
)
print(run.steps[0].assets[0].url, manifest.canonical_hash)

Persist to Backblaze B2

from genblaze_core import KeyStrategy, ObjectStorageSink
from genblaze_s3 import S3StorageBackend

storage = ObjectStorageSink(
    S3StorageBackend.for_backblaze("my-bucket"),
    key_strategy=KeyStrategy.HIERARCHICAL,
)
# pass sink=storage to .run(…)

Backblaze B2 is the recommended default sink for AI-generated audio.

Credentials

Env var Where to get it
LMNT_API_KEY https://app.lmnt.com/account

Documentation

Related packages

License

MIT

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

genblaze_lmnt-0.2.1.tar.gz (6.7 kB view details)

Uploaded Source

Built Distribution

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

genblaze_lmnt-0.2.1-py3-none-any.whl (6.3 kB view details)

Uploaded Python 3

File details

Details for the file genblaze_lmnt-0.2.1.tar.gz.

File metadata

  • Download URL: genblaze_lmnt-0.2.1.tar.gz
  • Upload date:
  • Size: 6.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for genblaze_lmnt-0.2.1.tar.gz
Algorithm Hash digest
SHA256 3a8c1096cd5780fd625d0135bb7a5b445bbe9bf31e0d107a3b80fb8b1b7550c2
MD5 db9d012d9746be48fd027a78f67eb796
BLAKE2b-256 3646a1f58be1d146a178e91d1a39c59d7f1f53f6ce471a6c3272a5fb532b59cd

See more details on using hashes here.

File details

Details for the file genblaze_lmnt-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: genblaze_lmnt-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 6.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for genblaze_lmnt-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f5b2d9424e33d90876dd84c9dbb3a682c731651d7de88d59ba6e9941b18c1562
MD5 035f769253f4fc31cb9eceb7cde66eec
BLAKE2b-256 6289c773ccd5445c6d983fb97b6d0c3abcf23184bb247fa1c86a53580c64be0d

See more details on using hashes here.

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