Elevenlabs
Ενσωμάτωση
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/el/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"
}
]
}
}
Καλέστε το μοντέλο Elevenlabs (elevenlabs/text-to-dialogue/eleven-v3) μέσω του Doitong API. Τεκμηρίωση για πράκτορες: https://doitong.com/el/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"
}
]
}
Αν η κατάσταση της απόκρισης είναι "queued" ή "running", εκτελέστε δημοσκόπηση με GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 μέχρι να γίνει "succeeded"· τα αρχεία βρίσκονται στο outputs[].url. Το POST https://api.doitong.ru/v1/quote/elevenlabs/text-to-dialogue/eleven-v3 με το ίδιο σώμα επιστρέφει την ακριβή τιμή πριν από την εκτέλεση.
Αυτό το αίτημα: ≈0,10 $ 100 πιστώσεις API · ≈ 10,75 ₽ Εκτέλεση σε αυτήν τη σελίδα
Το νέο σας κλειδί API. Εμφανίζεται μόνο τώρα και βρίσκεται ήδη στον κώδικα και στο παρακάτω πεδίο κλειδιού API. Κρατήστε το μυστικό: μην το εισάγετε ποτέ σε κώδικα που εκτελείται σε πρόγραμμα περιήγησης.
Το πρώτο σας αποτέλεσμα θα εμφανιστεί εδώ
Δημιουργήστε ένα αίτημα παρακάτω και εκτελέστε το με το κλειδί API σας. Οι έξοδοι αντιγράφονται στην αποθήκευσή μας και διατηρούνται για πάντα ή 7 ημέρες δωρεάν.
Δημιουργία αιτήματος
Τα στοιχεία ελέγχου δημιουργούνται από το σχήμα του μοντέλου. Ο κώδικας και η τιμή ενημερώνονται καθώς τα αλλάζετε.
/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20
προσφορά → 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
}
}
}
Εκτέλεση αυτού του αιτήματος
Το κλειδί σας παραμένει σε αυτό το πρόγραμμα περιήγησης: αποστέλλεται μόνο στο Doitong API και αποθηκεύεται (localStorage) μόνο αν ενεργοποιήσετε την επιλογή «Να απομνημονεύεται». Λήψη κλειδιού API
Σχετικά με το Elevenlabs
Δημιουργεί προφορικό διάλογο από το `inputs`, μια απαιτούμενη λίστα όπου κάθε καταχώριση συνδυάζει κείμενο με voice ID. Η συμπεριφορά της φωνής ρυθμίζεται με `stability` (0 έως 1) και `use_speaker_boost`. Μπορείτε να επιβάλετε γλώσσα με `language_code` και να εφαρμόσετε έως 3 δείκτες λεξικών προφοράς. Για αναπαραγωγιμότητα γίνεται δεκτό `seed`, το οποίο επιστρέφεται μαζί με τον ήχο.
Παράμετροι
inputsαπαιτείται
inputs[].textαπαιτείται
inputs[].voiceαπαιτείται
stabilityπροαιρετικό
use_speaker_boostπροαιρετικό
pronunciation_dictionary_locatorsπροαιρετικό
pronunciation_dictionary_locators[].pronunciation_dictionary_idπροαιρετικό
pronunciation_dictionary_locators[].version_idπροαιρετικό
seedπροαιρετικό
language_codeπροαιρετικό
Έξοδος
{
"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"
}
}
Πεδία εξόδου
- audio
- object {url, content_type, file_name, file_size}Αρχείο ήχου που παράγεται από την παραγωγή.
- seed
- integerSeed που ελέγχει την τυχαιότητα για αναπαραγώγιμα αποτελέσματα.
Περισσότερα μοντέλα: Κείμενο σε ομιλία
Για πράκτορες AI: αυτή η σελίδα σε Markdown βρίσκεται στη διεύθυνση https://doitong.com/el/developers/models/elevenlabs/text-to-dialogue/eleven-v3.md. Όλα τα μοντέλα και οι οδηγοί: https://doitong.com/developers/llms.txt