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-0.2.0.tar.gz (6.6 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-0.2.0-py3-none-any.whl (6.3 kB view details)

Uploaded Python 3

File details

Details for the file genblaze_lmnt-0.2.0.tar.gz.

File metadata

  • Download URL: genblaze_lmnt-0.2.0.tar.gz
  • Upload date:
  • Size: 6.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for genblaze_lmnt-0.2.0.tar.gz
Algorithm Hash digest
SHA256 e8c35dc85e3a9b6cdf175539f1c3a77c966df7fc03107ddff63705954a6cc38c
MD5 79efc5d4a7e5c70dd74bb52a020c0e33
BLAKE2b-256 1c8fe38c76d0c3b6a43076ce3f6640fa4df6138f2dda0096c1d2af8192b32fdb

See more details on using hashes here.

File details

Details for the file genblaze_lmnt-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: genblaze_lmnt-0.2.0-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-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 83d1b55e8ef925a2a192b7d7f2c074c4403ba7b8279c89fee3e19f1a558bfae1
MD5 07bad1d0b1ba1a756119413ed38fcaa6
BLAKE2b-256 503d826bcf9f6795a55568e58b4246f8aab6244c22ab0391b566406140ed2808

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