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 fish_audio_sdk 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/. Read the reference for the task you're doing before writing code.

Global facts

• Auth: both SDKs read the API key from the FISH_API_KEY 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).
• TTS models: the API supports s1 (deprecated), s2-pro, s2.1-pro (recommended for production), and s2.1-pro-free (free tier). Do not choose s1 for new code: S1 is deprecated and will be retired on December 31, 2026. After that date, requests that specify s1 are served by s2.1-pro (migration: https://docs.fish.audio/developer-guide/models-pricing/migrate-from-s1). However, the Python SDK types model as only s1 and s2-pro (plus the deprecated speech-1.x), default s2-pro. The JS package on npm (fish-audio 0.1.0) types backend without s2-pro or s2.1-pro and defaults it to "s1" at runtime (its README says "s2-pro"), so in JS always pass backend explicitly. 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 positional backend argument.
• ASR models: use transcribe-1-pro (recommended: speaker turns, long recordings, emotion cues). Neither SDK has an ASR model argument: send the model: transcribe-1-pro HTTP header on every request (Python RequestOptions(additional_headers=...), JS requestOptions.headers). A request without it is served and billed as transcribe-1, the model for short recordings. See references/speech-to-text.md.
• 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.

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!",
}); // npm 0.1.0 defaults to the deprecated "s1"; pass a model as shown below
await play(audio); // local playback (needs ffplay)

To pick a model in JS, pass backend as the positional argument (not a named option):

import type { Backends } from "fish-audio";

// The cast is needed because the npm 0.1.0 `Backends` type omits "s2.1-pro".
const audio = await client.textToSpeech.convert(
  { text: "Hi" },
  "s2.1-pro" as Backends
);

Capabilities → references

Python ↔ JavaScript name map

The two SDKs do not use the same names. Use this map when porting code between them.

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.
• 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.
• Transcribe audio → asr.transcribe (Python) / speechToText.convert (JS) with the model: transcribe-1-pro header (recommended; without it, the request runs on transcribe-1). Pro request fields, speaker_turns, request_id, and the language fields need raw HTTP in Python (fish-audio-sdk 1.3.0). See speech-to-text.

Gotchas (verified against the SDK source)

• 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.
• 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 and duration are all in seconds. The Python SDK's ASRResponse docstring says milliseconds; that is wrong. See speech-to-text.