Write code with the official Fish Audio SDKs, Python (`fishaudio`, PyPI `fish-audio-sdk`) and JavaScript/TypeScript (`fish-audio`). Use when the user wants text-to-speech, speech-to-text, voice cloning / voice-model management, or realtime WebSocket TTS through the installed SDK rather than raw HTTP. Covers install and auth, sync + async Python, the TypeScript client, exact method signatures and defaults, model selection (including the S2.1 typing caveat), the real exception types, and the Pyth…
Write code with the official Fish Audio SDKs, Python (`fishaudio`, PyPI `fish-audio-sdk`) and JavaScript/TypeScript (`fish-audio`).
Use when the user wants text-to-speech, speech-to-text, voice cloning / voice-model management, or realtime WebSocket TTS through the installed SDK rather than raw HTTP.
Covers install and auth, sync + async Python, the TypeScript client, exact method signatures and defaults, model selection (including the S2.1 typing caveat), the real exception types, and the Python↔JavaScript naming differences.
For raw REST/WebSocket calls without an SDK (curl, unsupported languages, edge runtimes), use the `fish-audio-api` skill instead.
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SKILL.md
Fish Audio SDK Skill
Use this skill to generate correct, runnable code with the official Fish Audio SDKs:
Python: package fish-audio-sdk on PyPI, imported as fishaudio. (The same wheel still ships a separate legacy fishaudiosdk package. Do not mix them; everything here is the modern fishaudio package.)
JavaScript / TypeScript: package fish-audio on npm, imported as FishAudioClient.
If the user wants raw curl / HTTP / WebSocket without installing an SDK, use the fish-audio-api skill instead.
This file is the index. Deeper, task-specific rules and full examples live in [references/](references/). Read the reference for the task you're doing before writing code.
Global facts
Auth: both SDKs read the API key from the FISHAPIKEY environment variable automatically. Get keys at https://fish.audio/app/api-keys. Never hardcode a key.
Base URL:https://api.fish.audio (override with base_url= in Python / baseUrl: in JS).
Models: the API supports s1, s2-pro, s2.1-pro (recommended for production), and s2.1-pro-free (free tier), but the SDK type definitions currently list only s1 and s2-pro (s2-pro = SDK default). Both SDKs forward the model value without runtime validation, so "s2.1-pro" works over the wire. Static type checkers will flag it, so add # type: ignore (Python) / an as cast (TS), or use the fish-audio-api skill for raw calls. speech-1.5 / speech-1.6 are deprecated. In Python pass model="s2-pro" (keyword); in JS pass the positionalbackend argument.
Audio formats:mp3 (default), wav, pcm, opus.
Playback in examples:play() shells out to a system audio tool: Python uses ffmpeg/ffplay (or mpv), JS uses ffplay. It is for local/desktop use; in a server, save() to a file or stream the bytes instead. See [references/installation.md](references/installation.md).
Quick start: Python
from fishaudio import FishAudio
from fishaudio.utils import play, save
client = FishAudio() # reads FISH_API_KEY
# Generate speech (returns the full audio as bytes)
audio = client.tts.convert(text="Hello from Fish Audio!")
save(audio, "output.mp3") # write to a file
# play(audio) # or play locally (needs ffmpeg)
Async: identical resource tree on AsyncFishAudio, used as a context manager:
import asyncio
from fishaudio import AsyncFishAudio
from fishaudio.utils import save
async def main():
async with AsyncFishAudio() as client:
audio = await client.tts.convert(text="Hello from Fish Audio!")
save(audio, "output.mp3")
asyncio.run(main())
Quick start: JavaScript / TypeScript
import { FishAudioClient, play } from "fish-audio";
const client = new FishAudioClient({ apiKey: process.env.FISH_API_KEY });
// convert() returns audio you can play or pipe to a file
const audio = await client.textToSpeech.convert({
text: "Hello from Fish Audio!",
}); // defaults to model "s2-pro"
await play(audio); // local playback (needs ffplay)
To pick a model in JS, pass backend as the positional argument (not a named option):
positional backend arg, e.g. convert(req, "s2-pro")
Decision shortcuts
Audio from text → tts.convert (Python) / textToSpeech.convert (JS).
Reuse a saved voice → pass reference_id (the voice model id).
Clone a voice instantly from a clip → pass references=[ReferenceAudio(audio=..., text=...)] (Python) / references: [{ audio, text }] (JS). See [voice-cloning](references/voice-cloning.md).
Persistent custom voice to reuse → create a voice model, then use its id as reference_id.
Stream tokens from an LLM and play speech as it arrives → tts.stream_websocket (Python) / textToSpeech.convertRealtime (JS). See [websocket](references/websocket.md).
Python latency accepts only "normal" or "balanced" (default "balanced"); there is no "low".
The Python client has no max_retries and does not auto-retry; the JS client does auto-retry (configurable via per-call requestOptions.maxRetries). See [errors](references/errors.md).
Python defines a ValidationError class but never raises it, so don't catch it expecting validation failures; a 422 surfaces as APIError. The JS SDK throws UnprocessableEntityError on 422.
ASR segment start / end are in seconds, but duration is in milliseconds. See [speech-to-text](references/speech-to-text.md).