Elevenlabs
統合
モデルID
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/ja/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"
}
]
}
}
Doitong APIを通じてElevenlabsモデル(elevenlabs/text-to-dialogue/eleven-v3)を呼び出します。エージェント向けドキュメント: https://doitong.com/ja/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"
}
]
}
レスポンスのステータスが"queued"または"running"の場合、"succeeded"になるまでGET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20をポーリングしてください。ファイルはoutputs[].urlにあります。同じボディでPOST https://api.doitong.ru/v1/quote/elevenlabs/text-to-dialogue/eleven-v3を実行すると、実行前の正確な価格が返されます。
このリクエスト: ≈$0.10 100 APIクレジット · ≈ ₽10.73 このページで実行
新しいAPIキーです。 これは今だけ表示され、コードと下記のAPIキー欄にすでに入力されています。秘密にしてください。ブラウザで実行されるコードに決して含めないでください。
ElevenLabs · 音声
最初の結果がここに表示されます
以下でリクエストを作成し、APIキーで実行してください。出力はストレージにコピーされ、永久保存または無料で7日保存されます。
リクエストを作成
コントロールはモデルスキーマから生成されます。値を変更するとコードと価格が更新されます。
POST
/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20
見積もり → $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
}
}
}
Elevenlabsについて
テキストと音声IDを組み合わせた各エントリを含む必須リスト`inputs`から、対話音声を作成します。`stability`(0~1)と`use_speaker_boost`で声の特性を調整できます。`language_code`で言語を固定し、発音辞書ロケーターを最大3つ適用できます。再現性のために`seed`を指定でき、音声とともに返されます。
パラメータ
名前型
デフォルト許可される値
説明
inputs必須
型object[]
音声合成する会話エントリ。各エントリはテキストと音声IDの組み合わせです。
inputs[].text必須
型string
会話を含むテキスト。
inputs[].voice必須
型string
生成に使用する音声名またはID。
stability任意
型number | null
0 – 1
生成間の音声の安定性と変化。0.0、0.5、1.0のみ指定できます。これら以外の入力値は最も近い許容値に丸められます。値を高くすると感情表現が制限され、単調に聞こえる場合があります。低くすると音声の感情表現の幅が広がります。
use_speaker_boost任意
型boolean | null
話者類似性の拡張。計算負荷がわずかに増加するためレイテンシが発生します。有効にすると、音声が元の話者により近くなります。
pronunciation_dictionary_locators任意
型object[]
デフォルト[]
テキストへの適用順に、最大3つの発音辞書ロケーターを指定します。各ロケーターはidとversion_idによって辞書を識別します。
pronunciation_dictionary_locators[].pronunciation_dictionary_id任意
型string | null
発音辞書の識別子。
pronunciation_dictionary_locators[].version_id任意
型string | null
IDで特定の発音辞書バージョンを選択します。未設定の場合は最新バージョンが使用されます。
seed任意
型integer | null
再現可能な結果のために乱数を制御するシード。
language_code任意
型string | null
ISO 639-1コードで必要なモデル言語を指定します。モデルがそのコードに対応していない場合、リクエストはエラーになります。
必須
出力
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"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"
}
}
ファイルの保存期間を選択すべてのoutputs[].urlはストレージ上のコピーです。アカウント設定または?storage=により、永久保存(GB・月単位で有料)または無料で7日保存できます。
すべてのモデルで同じ形式画像、動画、音声のいずれでも、type、url、content_type、width、height、durationが含まれます。outputはモデル独自の結果オブジェクトです。
出力フィールド
- audio
- object {url, content_type, file_name, file_size}生成によって作成された音声ファイル。
- seed
- integer再現可能な結果のために乱数を制御するシード。
その他のモデル: テキスト読み上げ
AIエージェント向け:このページのMarkdown版はこちらです: https://doitong.com/ja/developers/models/elevenlabs/text-to-dialogue/eleven-v3.md. すべてのモデルとガイド: https://doitong.com/developers/llms.txt