Minimax · Preview · Speech 2.5 HD
Integriruj
minimax/preview/speech-2.5-hd
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/minimax/preview/speech-2.5-hd?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"text": "Hello from Doitong. This is a short test sentence."
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/minimax/preview/speech-2.5-hd?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"text": "Hello from Doitong. This is a short test sentence."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"text": "Hello from Doitong. This is a short test sentence.",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/minimax/preview/speech-2.5-hd", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/rom/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "minimax/preview/speech-2.5-hd",
"input": {
"text": "Hello from Doitong. This is a short test sentence."
}
}
Kall o Minimax · Preview · Speech 2.5 HD modelo (minimax/preview/speech-2.5-hd) vas o Doitong API. Dokumentacia vaš agentura: https://doitong.com/rom/developers/models/minimax/preview/speech-2.5-hd.md
POST https://api.doitong.com/v1/run/minimax/preview/speech-2.5-hd?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"text": "Hello from Doitong. This is a short test sentence."
}
Te o response status si "queued" vaj "running", ker polling GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 dži kaj te avel "succeeded"; e fajlo si andro outputs[].url. POST https://api.doitong.com/v1/quote/minimax/preview/speech-2.5-hd sa jekhe body-esa del o precizno molipen angl-o phiripen.
Kava mangipen: $0.005 5 API krediti Phir les kate
Tiro nevo API klidin. Dikhavel pes akana numa thaj si angleder ando kodo thaj ando API klidin kotor tele. Garav les: na thovel les ande kodo savo keren andre jekh browser.
Kerdo pe Doitong
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Ker jekh mangipen
O kontrolura kerde si katar e schemaske. O kodo thaj e cena menjinen sar tu len menjines.
/run/minimax/preview/speech-2.5-hd?wait=20
hesab → $0.005
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/minimax/preview/speech-2.5-hd?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"text": "Hello from Doitong. This is a short test sentence."
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/minimax/preview/speech-2.5-hd?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"text": "Hello from Doitong. This is a short test sentence."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"text": "Hello from Doitong. This is a short test sentence.",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/minimax/preview/speech-2.5-hd", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "minimax/preview/speech-2.5-hd",
"input": {
"text": "Hello from Doitong. This is a short test sentence."
},
"wait_seconds": 20
}
}
}
Phandel kava mangipen
Tiro kluč ačhel kadale browsereste: bičhalel pes numa ko Doitong API thaj šuvav pes (localStorage) numa te tiknes Remember. Le jekh API ključ
Palal Minimax · Preview · Speech 2.5 HD
Paruvěl dži 5000 karakteren andar `text` ande vakheripe. `voice_setting` kontrolil e voća, sigutipes thaj pitch (standardno voća Wise_Woman), thaj `language_boost` šaj zorarel jekhe andar 41 čhibǎ thaj dialekta. `pronunciation_dict` del peske lavengo paruvipe, thaj `output_format` del vaj URL vaj hex-data. O response lilarel o audio thaj lesko trajo milisekundenca.
Parametra
enable_safety_checkeropcionalno
texttrubul
voice_settingopcionalno
voice_setting.voice_idopcionalno
voice_setting.speedopcionalno
voice_setting.volopcionalno
voice_setting.pitchopcionalno
voice_setting.emotionopcionalno
voice_setting.english_normalizationopcionalno
audio_settingopcionalno
audio_setting.sample_rateopcionalno
audio_setting.bitrateopcionalno
audio_setting.formatopcionalno
audio_setting.channelopcionalno
language_boostopcionalno
+25 aver
IndonesianJapaneseItalianKoreanThaiPolishRomanianGreekCzechFinnishHindiBulgarianDanishHebrewMalaySlovakSwedishCroatianHungarianNorwegianSlovenianCatalanNynorskAfrikaansautooutput_formatopcionalno
pronunciation_dictopcionalno
pronunciation_dict.tone_listopcionalno
Rezultato
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "minimax/preview/speech-2.5-hd",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 5,
"usd": "0.005",
"charged": 5,
"refunded": 0
},
"input": {
"text": "Hello from Doitong. This is a short test sentence."
},
"output": {
"audio": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
"content_type": "audio/mpeg",
"file_name": "0-output.mp3",
"file_size": 1843200
},
"duration_ms": 1
},
"outputs": [
{
"type": "audio",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
"content_type": "audio/mpeg",
"file_size": 1843200,
"duration": 12,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Outputoske fieldura
- audio
- object {url, content_type, file_name, file_size}Audio fajlo kerdo generaciatar.
- duration_ms
- integerAudio-duracija, merime milisekundenca.
Aver variantura e MiniMax Preview
Bute modeli: Teksto ko Lav
AI agentenge: kadija rig sar Markdown si kate https://doitong.com/rom/developers/models/minimax/preview/speech-2.5-hd.md. Sa e modelura thaj e gidura: https://doitong.com/developers/llms.txt