Elevenlabs
Integrēt
elevenlabs/text-to-dialogue/eleven-v3
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria"
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte"
}
]
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria"
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte"
}
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria",
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte",
},
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/elevenlabs/text-to-dialogue/eleven-v3", 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/lv/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "elevenlabs/text-to-dialogue/eleven-v3",
"input": {
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria"
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte"
}
]
}
}
Izsauciet Elevenlabs modeli (elevenlabs/text-to-dialogue/eleven-v3), izmantojot Doitong API. Dokumentācija aģentiem: https://doitong.com/lv/developers/models/elevenlabs/text-to-dialogue/eleven-v3.md
POST https://api.doitong.ru/v1/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria"
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte"
}
]
}
Ja atbildes statuss ir "queued" vai "running", periodiski izsauciet GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20, līdz tas kļūst par "succeeded"; faili atrodas outputs[].url. POST https://api.doitong.ru/v1/quote/elevenlabs/text-to-dialogue/eleven-v3 ar to pašu pamattekstu atgriež precīzu cenu pirms izpildes.
Šis pieprasījums: ≈0,10 $ 100 API kredītu · ≈ 10,75 ₽ Izpildīt šajā lapā
Jūsu jaunā API atslēga. Tā tiek parādīta tikai tagad un jau ir ievietota kodā un tālāk esošajā API atslēgas laukā. Glabājiet to noslēpumā: nekad neievietojiet to kodā, kas darbojas pārlūkprogrammā.
Šeit būs jūsu pirmais rezultāts
Izveidojiet pieprasījumu tālāk un izpildiet to ar savu API atslēgu. Izvades tiek kopētas mūsu krātuvē un glabātas mūžīgi vai 7 dienas bez maksas.
Izveidot pieprasījumu
Vadīklas tiek ģenerētas no modeļa shēmas. Kods un cena tiek atjaunināti, kad tos maināt.
/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20
cena → 0,10 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria"
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte"
}
]
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria"
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte"
}
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria",
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte",
},
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/elevenlabs/text-to-dialogue/eleven-v3", 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": "elevenlabs/text-to-dialogue/eleven-v3",
"input": {
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria"
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte"
}
]
},
"wait_seconds": 20
}
}
}
Palaist šo pieprasījumu
Jūsu atslēga paliek šajā pārlūkprogrammā: tā tiek nosūtīta tikai uz Doitong API un saglabāta (localStorage) tikai tad, ja atzīmējat Atcerēties. Iegūt API atslēgu
Par Elevenlabs
Izveido runātu dialogu no obligāta `inputs` saraksta, kur katrs ieraksts apvieno tekstu ar balss ID. Balss uzvedību var pielāgot ar `stability` (0 līdz 1) un `use_speaker_boost`. Valodu var noteikt ar `language_code`, kā arī izmantot līdz 3 izrunas vārdnīcu lokatorus. Atkārtojamībai tiek pieņemts `seed`, kas tiek atgriezts kopā ar audio.
Parametri
inputsobligāts
inputs[].textobligāts
inputs[].voiceobligāts
stabilityneobligāts
use_speaker_boostneobligāts
pronunciation_dictionary_locatorsneobligāts
pronunciation_dictionary_locators[].pronunciation_dictionary_idneobligāts
pronunciation_dictionary_locators[].version_idneobligāts
seedneobligāts
language_codeneobligāts
Izvade
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "elevenlabs/text-to-dialogue/eleven-v3",
"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": 100,
"usd": "0.10",
"charged": 100,
"refunded": 0
},
"input": {
"inputs": [
{
"text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
"voice": "Aria"
},
{
"text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
"voice": "Charlotte"
}
]
},
"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
},
"seed": 42
},
"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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Izvades lauki
- audio
- object {url, content_type, file_name, file_size}Ģenerētais audio fails.
- seed
- integerSēkla, kas kontrolē nejaušību atkārtojamu rezultātu iegūšanai.
Vairāk modeļu: Teksts uz runu
AI aģentiem: šī lapa Markdown formātā ir pieejama https://doitong.com/lv/developers/models/elevenlabs/text-to-dialogue/eleven-v3.md. Visi modeļi un ceļveži: https://doitong.com/developers/llms.txt