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docs(readme): rebrand speech surface as Models on PyPI #105

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abhishekmishragithub merged 1 commit into from
Aug 20, 2026
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docs(readme): rebrand speech surface as Models on PyPI #105

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10 changes: 5 additions & 5 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,8 @@
`pip install smallestai` gives you one package with two surfaces, plus a CLI:

- **Atoms** — build, configure, deploy, and phone-call voice AI agents (`client.atoms`).
- **Waves** — low-latency text-to-speech and speech-to-text, sync/async and streaming (`client.waves`).
- **CLI** — `smallestai` for managing agents and deploying agent-crew code.
- **Models** — low-latency text-to-speech and speech-to-text, sync/async and streaming (`client.waves`; `smallestai models` in the CLI).
- **CLI** — `smallestai` for managing agents, deploying agent-crew code, and running speech models.

```sh
pip install smallestai
Expand All @@ -15,7 +15,7 @@ pip install smallestai
## Table of Contents

- [Quickstart](#quickstart-create-an-agent-and-call-it)
- [Text-to-speech and speech-to-text](#text-to-speech-and-speech-to-text-waves)
- [Text-to-speech and speech-to-text](#text-to-speech-and-speech-to-text-models)
- [Agent crew: your own LLM](#agent-crew-your-own-llm-in-the-middle)
- [CLI](#cli)
- [Async client](#async-client)
Expand Down Expand Up @@ -48,7 +48,7 @@ client.atoms.calls.start_outbound_call(
)
```

## Text-to-speech and speech-to-text (Waves)
## Text-to-speech and speech-to-text (Models)

`synthesize_tts` streams audio bytes. List available voices with `client.waves.get_voices()`.

Expand Down Expand Up @@ -170,7 +170,7 @@ except ApiError as e:

## Streaming and websockets

Waves supports real-time, low-latency streaming over websockets. `stream()` returns a context manager; iterate it to process messages as they arrive.
The speech models support real-time, low-latency streaming over websockets. `stream()` returns a context manager; iterate it to process messages as they arrive.

```python
from smallestai import SmallestAI
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