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-s3in 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
- Main repo: https://github.com/backblaze-labs/genblaze
- Example:
lmnt_tts_pipeline.py
Related packages
genblaze-core— the pipeline SDKgenblaze-s3— durable storage on Backblaze B2 and other S3-compatible backends- Other audio providers:
genblaze-elevenlabs(TTS + SFX) ·genblaze-openai(TTS) ·genblaze-stability-audio(music) ·genblaze-gmicloud
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for genblaze-lmnt 0.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| genblaze_lmnt-0.3.3.tar.gz | 11.1 kB | With provenance | Details for genblaze_lmnt-0.3.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| genblaze_lmnt-0.3.3-py3-none-any.whl | Python 3 | none | any | Details for genblaze_lmnt-0.3.3-py3-none-any.whl |
Total release size: 19.6 kB
Release files / genblaze_lmnt-0.3.3.tar.gz
| Download URL | genblaze_lmnt-0.3.3.tar.gz |
|---|---|
| Size | 11.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Download URL | genblaze_lmnt-0.3.3-py3-none-any.whl |
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| Size | 8.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
8a6f0a7de21c549ac3749170080e94eb075e7bce796629c8316478b4350c4acb
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| Uploaded via |
twine/6.1.0 CPython/3.13.14
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