import asyncio
import json
import websockets
import base64
class RimeClient:
def __init__(self, speaker, api_key):
self.url = f"wss://users-ws.rime.ai/ws3?speaker={speaker}&modelId=mistv3&audioFormat=mp3"
self.auth_headers = {
"Authorization": f"Bearer {api_key}"
}
self.audio_data = b''
async def send_messages(self, websocket, messages):
for message in messages:
await websocket.send(json.dumps(message))
async def handle_audio(self, websocket):
while True:
try:
audio = await websocket.recv()
except websockets.exceptions.ConnectionClosedOK:
break
message = json.loads(audio)
if message['type'] == 'chunk':
self.audio_data += base64.b64decode(message['data'])
if message['type'] == 'timestamps':
print("Rime model pronounced the words...\n")
for w, t in zip(message['word_timestamps']['words'], message['word_timestamps']['start']):
print(f"'{w}' at time {t}")
async def run(self, messages):
async with websockets.connect(self.url, additional_headers=self.auth_headers) as websocket:
await asyncio.gather(
self.send_messages(websocket, messages),
self.handle_audio(websocket),
)
def save_audio(self, file_path):
with open(file_path, 'wb') as f:
f.write(self.audio_data)
print(f"\n Audio saved at {file_path}")
message = [
{"text": "This "},
{"text": "is "},
{"text": "an "},
{"text": "incomplete "},
{"text": "sentence "},
{"operation": "eos"},
]
client = RimeClient("cove", api_key="YOUR_API_KEY")
asyncio.run(client.run(message))
client.save_audio("output.mp3")
Websocket
Websockets JSON
Mist v3 JSON WebSocket (/ws3): structured events with base64 audio chunks and word-level timestamps.
import asyncio
import json
import websockets
import base64
class RimeClient:
def __init__(self, speaker, api_key):
self.url = f"wss://users-ws.rime.ai/ws3?speaker={speaker}&modelId=mistv3&audioFormat=mp3"
self.auth_headers = {
"Authorization": f"Bearer {api_key}"
}
self.audio_data = b''
async def send_messages(self, websocket, messages):
for message in messages:
await websocket.send(json.dumps(message))
async def handle_audio(self, websocket):
while True:
try:
audio = await websocket.recv()
except websockets.exceptions.ConnectionClosedOK:
break
message = json.loads(audio)
if message['type'] == 'chunk':
self.audio_data += base64.b64decode(message['data'])
if message['type'] == 'timestamps':
print("Rime model pronounced the words...\n")
for w, t in zip(message['word_timestamps']['words'], message['word_timestamps']['start']):
print(f"'{w}' at time {t}")
async def run(self, messages):
async with websockets.connect(self.url, additional_headers=self.auth_headers) as websocket:
await asyncio.gather(
self.send_messages(websocket, messages),
self.handle_audio(websocket),
)
def save_audio(self, file_path):
with open(file_path, 'wb') as f:
f.write(self.audio_data)
print(f"\n Audio saved at {file_path}")
message = [
{"text": "This "},
{"text": "is "},
{"text": "an "},
{"text": "incomplete "},
{"text": "sentence "},
{"operation": "eos"},
]
client = RimeClient("cove", api_key="YOUR_API_KEY")
asyncio.run(client.run(message))
client.save_audio("output.mp3")
The Rime API authenticates every request with a bearer token in the
examples:
Context IDs can be provided, which will be attached to subsequent messages that the server sends back to the client. Rime will not maintain multiple simultaneous context ids.
The audio will be a base64 encoded chunk of audio bytes in the audio format specified when the connection was established.
The three arrays inside
When exactly
Authorization header: Authorization: Bearer YOUR_API_KEY. See API authentication for how to create a key.
Overview
In addition to a plaintext websocket implementation, Rime also has an implementation that sends and receives events as JSON objects. Like the other implementation, all synthesis arguments are provided as query parameters when establishing the connection. The websocket API buffers inputs up to one of the following punctuation characters:., ?, !. This is most pertinent for the initial messages sent to the API, as synthesis won’t begin until there are sufficient tokens to generate audio with natural prosody. After the first synthesis of any given utterance, typically enough time has elapsed that subsequent audio contains multiple clauses, and the buffering becomes largely invisible.
Messages
Send
Text
This is the most common message, which contains text for synthesis. schema:type TextMessage = {
text: string,
contextId?: string,
}
{
"text": "this is the minimum text message."
}
{
"text": "this is a text message with a context id.",
"contextId": "159495B1-5C81-4C73-A51A-9CE10A08239E"
}
Clear
Your client can clear out the accumulated buffer, which is useful in the case of interruptions.{ "operation": "clear" }
Flush
This forces whatever buffer exists, if any, to be synthesized, and the generated audio to be sent over.{ "operation": "flush" }
EOS
At times, your client would like to generate audio for whatever remains in the buffer, and then have the connection immediately closed.{ "operation" : "eos" }
Receive
Chunk
The most common event will be the audio chunk.type Base64String = string
type AudioChunkEvent = {
type: "chunk",
data: Base64String,
contextId: string | null,
}
Timestamps
Word-level timestamps are emitted alongside the audio chunks so the client can tell exactly which words have been spoken at any point. This is especially useful for handling interruptions: when the user starts talking over the output, you can map the playback position back to the last word that was actually heard.Timestamps are emitted only when
lang is en/eng or es/spa, or when lang is omitted. Requests in any other language receive chunk and done events with no timestamps event and no error (this includes fr and de). Do not block playback while waiting for a timestamps event.type TimestampsEvent = {
type: "timestamps",
word_timestamps: {
words: string[],
start: number[],
end: number[],
},
contextId: string | null,
}
word_timestamps are the same length and index-aligned: for a given index i, words[i] is spoken from start[i] to end[i]. Times are in seconds, measured from the beginning of the audio for the current synthesis. If a context id was attached to the text that produced this audio, it is included on the event.
Example payload:
{
"type": "timestamps",
"word_timestamps": {
"words": ["Testing", "mistv3", "timestamps."],
"start": [0, 0.35396, 1.41584],
"end": [0.35396, 1.41584, 3.18564]
},
"contextId": null
}
Done
After the last audio chunk for a synthesis batch has been sent, the server emits adone event. This signals that the current synthesis is fully complete. If the client sends more text and triggers further synthesis, another done will follow.
type DoneEvent = {
type: "done",
contextId: string | null,
}
done fires depends on the segment setting. See Segmentation and behavior settings for full details.
Error
In the event of a malformed or unexpected input, the server will immediately respond with an error message. The server will not close the connection, and will still accept subsequent well-formed messages.type ErrorEvent = {
type: "error",
message: string,
}
Variable parameters
string
required
Must be a voice from the Rime voice catalog.
string
default:"mistv3"
Set to
mistv3.string
One of
wav, mp3 (or mpeg), ogg (Opus in OGG), webm (Opus in WebM), pcm (or l16), or mulaw (or pcmu). Unrecognized values fall back to wav.string
default:"eng"
If provided, the language must match the language spoken by the selected speaker. Verify the pairing in the Rime voice catalog.
bool
default:"false"
When set to true, adds pauses between words enclosed in angle brackets. The number inside the brackets specifies the pause duration in milliseconds.
Example:
Hi. <200> I'd love to have a conversation with you. adds a 200ms pause. Learn more about custom pauses.int
The sampling rate in Hz. Default: 24000. Values above 24000 are upsampled.
string
Comma-separated list of speed values applied to words in square brackets. Values < 1.0 speed up speech, > 1.0 slow it down.
Example: “This is [slow] and [fast]”, use “3, 0.5” to make “slow” slower and “fast” faster.
float
default:"1.0"
Adjusts the speed of speech. Higher than 1.0 is faster and lower than 1.0 is slower.
string
default:"bySentence"
Controls how text is segmented for synthesis. Available options:
- “immediate” - Synthesizes text immediately without waiting for complete sentences
- “never” - Never segments the text, waits for explicit flush or EOS
- “bySentence” (default) - Waits for complete sentences before synthesis
import asyncio
import json
import websockets
import base64
class RimeClient:
def __init__(self, speaker, api_key):
self.url = f"wss://users-ws.rime.ai/ws3?speaker={speaker}&modelId=mistv3&audioFormat=mp3"
self.auth_headers = {
"Authorization": f"Bearer {api_key}"
}
self.audio_data = b''
async def send_messages(self, websocket, messages):
for message in messages:
await websocket.send(json.dumps(message))
async def handle_audio(self, websocket):
while True:
try:
audio = await websocket.recv()
except websockets.exceptions.ConnectionClosedOK:
break
message = json.loads(audio)
if message['type'] == 'chunk':
self.audio_data += base64.b64decode(message['data'])
if message['type'] == 'timestamps':
print("Rime model pronounced the words...\n")
for w, t in zip(message['word_timestamps']['words'], message['word_timestamps']['start']):
print(f"'{w}' at time {t}")
async def run(self, messages):
async with websockets.connect(self.url, additional_headers=self.auth_headers) as websocket:
await asyncio.gather(
self.send_messages(websocket, messages),
self.handle_audio(websocket),
)
def save_audio(self, file_path):
with open(file_path, 'wb') as f:
f.write(self.audio_data)
print(f"\n Audio saved at {file_path}")
message = [
{"text": "This "},
{"text": "is "},
{"text": "an "},
{"text": "incomplete "},
{"text": "sentence "},
{"operation": "eos"},
]
client = RimeClient("cove", api_key="YOUR_API_KEY")
asyncio.run(client.run(message))
client.save_audio("output.mp3")

