> ## Documentation Index
> Fetch the complete documentation index at: https://phaseo.app/docs/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Phaseo Gateway base URL: https://api.phaseo.app/v1. Send `Authorization: Bearer $PHASEO_API_KEY` with every request.
> Model IDs look like `provider/model`, for example `openai/gpt-6-astra`. Do not guess IDs: list them with `GET /v1/models` or check https://phaseo.app/models. `phaseo/free` routes to an available free model and needs no wallet balance.
> For new text integrations prefer `POST /v1/responses`. `POST /v1/chat/completions` (OpenAI format) and `POST /v1/messages` (Anthropic format) suit existing code.
> The full API contract is https://phaseo.app/docs/openapi/v1/openapi.yaml. Official SDKs: `@phaseo/sdk` (TypeScript) and `phaseo` (Python), plus Go, C#, PHP, Ruby and Rust.
> Search these docs over MCP at https://phaseo.app/docs/mcp, and install Phaseo skills with `npx skills add https://phaseo.app/docs`. If a page is wrong or out of date, report it with the MCP `submit_feedback` tool.
> Manage Phaseo accounts with the `phaseo` CLI (`npm install -g @phaseo/cli`, then `phaseo login` or `phaseo login --device-code`), the `/v1` Management API or the MCP server at `https://mcp.phaseo.app/mcp?access=manage`. Do not send users to the dashboard for account tasks. A person is still needed for sign-up, approving a sign-in, paying the first top-up on the checkout link that `phaseo credits add` returns when no card is saved, confirming each saved-card top-up from the emailed link, and account security (password, MFA, passkeys). Create API keys with `phaseo keys create --name <name> --json`; never guess one. Credit top-ups need `phaseo login --scopes billing:write` first. Task map: https://phaseo.app/docs/v1/developers/manage-from-an-agent.md.

# क्लाइंट SDK उपयोग

> हर Phaseo क्लाइंट SDK में हर Gateway एंडपॉइंट का एक छोटा उदाहरण।

नीचे का हर सेक्शन हर एंडपॉइंट का एक छोटा उदाहरण है। अगर किसी सेक्शन में कोई भाषा नहीं है, तो उसके SDK में उस एंडपॉइंट का कोई रैपर नहीं है; [मेथड तालिका](https://phaseo.app/docs/hi/v1/sdk-reference/client/overview.md#find-the-method-for-each-endpoint) विकल्प दिखाती है। इस सेक्शन के एंडपॉइंट पेज हर पैरामीटर की सूची देते हैं।

## सेटअप

```typescript TypeScript theme={null}
import Phaseo from "@phaseo/sdk";

const client = new Phaseo({ apiKey: process.env.PHASEO_API_KEY! });
```

```python Python theme={null}
from phaseo import Phaseo

client = Phaseo(api_key="your-api-key")
```

```go Go theme={null}
import (
  "context"

  phaseo "github.com/phaseoteam/Phaseo/packages/sdk/sdk-go/v3"
)

client, err := phaseo.NewFromEnv() // PHASEO_API_KEY पढ़ता है
if err != nil {
  panic(err)
}
ctx := context.Background()
```

```csharp C# theme={null}
using PhaseoSdk;

var client = new Phaseo(); // PHASEO_API_KEY पढ़ता है
```

```php PHP theme={null}
<?php
require 'vendor/autoload.php';

use Phaseo\Sdk\Phaseo;

$client = new Phaseo(); // PHASEO_API_KEY पढ़ता है
```

```ruby Ruby theme={null}
require 'phaseo_sdk'

client = PhaseoSdk::Phaseo.new # PHASEO_API_KEY पढ़ता है
```

```java Java theme={null}
import app.phaseo.sdk.Phaseo;

Phaseo client = new Phaseo(System.getenv("PHASEO_API_KEY"));
```

```rust Rust theme={null}
use phaseo::Phaseo;
use serde_json::json;

let client = Phaseo::from_env()?; // या Phaseo::new("phaseo_v1_sk_...")?
```

## चैट कंप्लीशन

```typescript TypeScript theme={null}
const completion = await client.generateText({
  model: "openai/gpt-6-astra",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "What is Phaseo?" },
  ],
});

for await (const chunk of client.streamChat({
  model: "openai/gpt-6-astra",
  messages: [{ role: "user", content: "Tell me a story" }],
})) {
  if (chunk.text) process.stdout.write(chunk.text);
}
```

```python Python theme={null}
completion = client.generate_text(
    {
        "model": "openai/gpt-6-astra",
        "messages": [
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": "What is Phaseo?"},
        ],
    }
)

for chunk in client.stream_chat(
    {
        "model": "openai/gpt-6-astra",
        "messages": [{"role": "user", "content": "Tell me a story"}],
    }
):
    if chunk.get("text"):
        print(chunk["text"], end="", flush=True)
```

```go Go theme={null}
chat, err := client.GenerateText(ctx, phaseo.ChatCompletionsRequest{
  Model:    "openai/gpt-6-astra",
  Messages: []map[string]interface{}{{"role": "user", "content": "Hello"}},
})
```

```csharp C# theme={null}
var chat = await client.GenerateText(new Dictionary<string, object>
{
    ["model"] = "openai/gpt-6-astra",
    ["messages"] = new[]
    {
        new Dictionary<string, object> { ["role"] = "user", ["content"] = "Hello" },
    },
});
```

```php PHP theme={null}
$chat = $client->generateText([
    'model' => 'openai/gpt-6-astra',
    'messages' => [
        ['role' => 'user', 'content' => 'Hello'],
    ],
]);
```

```ruby Ruby theme={null}
chat = client.generate_text(
  model: 'openai/gpt-6-astra',
  messages: [{ role: 'user', content: 'Hello' }]
)
```

```java Java theme={null}
var chat = client.createChatCompletion(Map.of(
    "model", "openai/gpt-6-astra",
    "messages", List.of(Map.of("role", "user", "content", "Hello"))
));
```

```rust Rust theme={null}
let response = client.chat_completions(&json!({
    "model": "openai/gpt-6-astra",
    "messages": [{
        "role": "user",
        "content": "Reply with exactly: chat works"
    }]
}))?;

println!("{}", response.body);
```

सिर्फ़ TypeScript और Python में पार्स की गई चैट स्ट्रीम है। [चैट कंप्लीशन](https://phaseo.app/docs/hi/v1/sdk-reference/client/chat-completions.md#stream-the-response) Java का कच्ची-स्ट्रीम वाला विकल्प दिखाता है।

## Responses

```typescript TypeScript theme={null}
const response = await client.generateResponse({
  model: "openai/gpt-6-astra",
  input: [{ role: "user", content: [{ type: "input_text", text: "Summarise this" }] }],
});

for await (const chunk of client.streamResponses({
  model: "openai/gpt-6-astra",
  input: [{ role: "user", content: [{ type: "input_text", text: "Stream this" }] }],
})) {
  if (chunk.text) process.stdout.write(chunk.text);
}
```

```python Python theme={null}
resp = client.generate_response(
    {
        "model": "openai/gpt-6-astra",
        "input": [{"role": "user", "content": [{"type": "input_text", "text": "Summarise this"}]}],
    }
)

for chunk in client.stream_responses(
    {
        "model": "openai/gpt-6-astra",
        "input": [{"role": "user", "content": [{"type": "input_text", "text": "Stream this"}]}],
    }
):
    if chunk.get("text"):
        print(chunk["text"], end="", flush=True)
```

```go Go theme={null}
resp, err := client.GenerateResponse(ctx, phaseo.ResponsesRequest{
  Model: "openai/gpt-6-astra",
  Input: "Reply with: go sdk works",
})
```

```csharp C# theme={null}
var resp = await client.GenerateResponse(new Dictionary<string, object>
{
    ["model"] = "openai/gpt-6-astra",
    ["input"] = "Reply with: csharp sdk works",
});
```

```php PHP theme={null}
$response = $client->generateResponse([
    'model' => 'openai/gpt-6-astra',
    'input' => 'Reply with: php sdk works',
]);
```

```ruby Ruby theme={null}
response = client.generate_response(
  model: 'openai/gpt-6-astra',
  input: 'Reply with: ruby sdk works'
)
```

```java Java theme={null}
var response = client.createResponse(Map.of(
    "model", "openai/gpt-6-astra",
    "input", "Reply with: Java SDK works"
));

try (var lines = client.streamResponse(Map.of(
    "model", "openai/gpt-6-astra", "input", "Hello"
))) {
    lines.forEach(System.out::println);
}
```

```rust Rust theme={null}
let response = client.responses(&json!({
    "model": "openai/gpt-6-astra",
    "input": "Summarise why provider fallbacks improve reliability."
}))?;

println!("{}", response.body);
```

[Responses](https://phaseo.app/docs/hi/v1/sdk-reference/client/responses.md) C#, PHP और Java में स्ट्रीमिंग, और Rust में आउटपुट टेक्स्ट पढ़ना कवर करता है।

## Messages (Anthropic-संगत)

```typescript TypeScript theme={null}
const message = await client.generateMessage({
  model: "anthropic/claude-haiku-4.5",
  messages: [{ role: "user", content: "Hello from the Messages API" }],
  max_tokens: 128,
});

for await (const chunk of client.streamMessages({
  model: "anthropic/claude-haiku-4.5",
  messages: [{ role: "user", content: "Stream a short hello" }],
  max_tokens: 128,
})) {
  if (chunk.text) process.stdout.write(chunk.text);
}
```

```python Python theme={null}
message = client.generate_message(
    {
        "model": "anthropic/claude-haiku-4.5",
        "messages": [{"role": "user", "content": "Hello from the Messages API"}],
        "max_tokens": 128,
    }
)

for chunk in client.stream_message(
    {
        "model": "anthropic/claude-haiku-4.5",
        "messages": [{"role": "user", "content": "Stream a short hello"}],
        "max_tokens": 128,
    }
):
    if chunk.get("text"):
        print(chunk["text"], end="", flush=True)
```

**Python:** `stream_message` पार्स किए गए chunk देता है; `stream_messages` कच्ची SSE लाइनें देता है। Go, C#, PHP, Ruby और Java में अपनी नामकरण शैली में `createAnthropicMessage` है।

## इमेज

```typescript TypeScript theme={null}
await client.generateImage({
  model: "openai/gpt-image-1",
  prompt: "A lighthouse at golden hour",
});

await client.generateImageEdit({
  model: "openai/gpt-image-1",
  prompt: "Make it sunset",
  image: "data:image/png;base64,...",
});
```

```python Python theme={null}
image = client.generate_image(
    {"model": "openai/gpt-image-1", "prompt": "A lighthouse at golden hour"}
)

edited = client.generate_image_edit(
    {
        "model": "openai/gpt-image-1",
        "prompt": "Make it sunset",
        "image": "data:image/png;base64,...",
    }
)
```

```go Go theme={null}
image, err := client.CreateImage(ctx, map[string]interface{}{
  "model":  "openai/gpt-image-1",
  "prompt": "A lighthouse at golden hour",
})
```

```csharp C# theme={null}
var image = await client.GenerateImage(new Dictionary<string, object>
{
    ["model"] = "openai/gpt-image-1",
    ["prompt"] = "A lighthouse at golden hour",
});
```

```php PHP theme={null}
$image = $client->generateImage([
    'model' => 'openai/gpt-image-1',
    'prompt' => 'A lighthouse at golden hour',
]);

$edit = $client->generateImageEdit([
    'model' => 'openai/gpt-image-1',
    'prompt' => 'Make it sunset',
    'image' => 'data:image/png;base64,...',
]);
```

```ruby Ruby theme={null}
image = client.generate_image(
  model: 'openai/gpt-image-1',
  prompt: 'A lighthouse at golden hour'
)

edit = client.generate_image_edit(
  model: 'openai/gpt-image-1',
  prompt: 'Make it sunset',
  image: 'data:image/png;base64,...'
)
```

```java Java theme={null}
var image = client.createImage(Map.of(
    "model", "openai/gpt-image-1",
    "prompt", "A lighthouse at golden hour"
));
```

देखें [इमेज जनरेशन](https://phaseo.app/docs/hi/v1/sdk-reference/client/images-generations.md) और [इमेज एडिट](https://phaseo.app/docs/hi/v1/sdk-reference/client/images-edits.md)।

## ऑडियो

ट्रांसक्रिप्शन और अनुवाद multipart अपलोड लेते हैं। TypeScript `FormData` बॉडी को multipart के रूप में भेजता है। Python, Go, C#, PHP और Ruby के मेथड JSON भेजते हैं, इसलिए ट्रांसक्रिप्शन सिर्फ़ तब काम करता है जब URL किसी ऐसे मॉडल को दिया जाए जो `file_url` स्वीकार करता है, और अनुवाद के लिए multipart अपलोड चाहिए। उन SDK से ऑडियो फ़ाइल अपलोड करने के लिए देखें [STT (स्पीच से टेक्स्ट)](https://phaseo.app/docs/hi/v1/sdk-reference/client/audio-transcriptions.md#upload-an-audio-file) और [अनुवाद](https://phaseo.app/docs/hi/v1/sdk-reference/client/audio-translations.md)।

```typescript TypeScript theme={null}
import { readFile } from "node:fs/promises";

const speech = await client.generateSpeech({
  model: "openai/gpt-4o-mini-tts",
  input: "Hello world",
});

// ट्रांसक्रिप्शन और अनुवाद multipart अपलोड लेते हैं।
const form = new FormData();
form.append("model", "openai/gpt-4o-transcribe");
form.append("file", new Blob([await readFile("call.mp3")], { type: "audio/mpeg" }), "call.mp3");
const transcript = await client.generateTranscription(form as unknown as Record<string, unknown>);
```

```python Python theme={null}
speech = client.generate_speech(
    {"model": "openai/gpt-4o-mini-tts", "input": "Hello world"}
)

# generate_transcription JSON भेजता है, इसलिए file_url स्वीकार करने वाले मॉडल को URL दें।
transcription = client.generate_transcription(
    {"model": "mistral/voxtral-mini-transcribe-2", "file_url": "https://example.com/call.mp3"}
)
```

```go Go theme={null}
speech, err := client.CreateSpeech(ctx, map[string]interface{}{
  "model": "openai/gpt-4o-mini-tts",
  "input": "Hello from Go",
})
```

```csharp C# theme={null}
var speech = await client.CreateSpeech(new Dictionary<string, object>
{
    ["model"] = "openai/gpt-4o-mini-tts",
    ["input"] = "Hello from .NET",
});
```

```php PHP theme={null}
$speech = $client->createSpeech([
    'model' => 'openai/gpt-4o-mini-tts',
    'input' => 'Hello from PHP',
]);

$transcript = $client->generateTranscription([
    'model' => 'mistral/voxtral-mini-transcribe-2',
    'file_url' => 'https://example.com/meeting.mp3',
]);
```

```ruby Ruby theme={null}
speech = client.generate_speech(
  model: 'openai/gpt-4o-mini-tts',
  input: 'Hello world'
)

transcription = client.generate_transcription(
  model: 'mistral/voxtral-mini-transcribe-2',
  file_url: 'https://example.com/meeting.mp3'
)
```

`generateTranslation()` के लिए [अनुवाद](https://phaseo.app/docs/hi/v1/sdk-reference/client/audio-translations.md) देखें। **Java:** `createSpeech` JSON की उम्मीद करता है और बाइनरी ऑडियो डिकोड नहीं कर सकता, इसलिए speech के लिए `rawClient().requestBytes` इस्तेमाल करें; ट्रांसक्रिप्शन और अनुवाद के अपलोड Java के स्टैंडर्ड HTTP क्लाइंट से भेजें, जैसा [STT](https://phaseo.app/docs/hi/v1/sdk-reference/client/audio-transcriptions.md) और [अनुवाद](https://phaseo.app/docs/hi/v1/sdk-reference/client/audio-translations.md) पेज दिखाते हैं।

## वीडियो

```typescript TypeScript theme={null}
const video = await client.videos.generateAndWait({
  model: "openai/sora-2",
  prompt: "A serene mountain lake at sunrise",
});
```

```python Python theme={null}
video = client.videos.generate_and_wait(
    {"model": "openai/sora-2", "prompt": "A serene mountain lake at sunrise"}
)
```

Go, C#, PHP, Ruby और Java जॉब बनाते हैं और बिना इंतज़ार किए उसे लौटा देते हैं; देखें [मेथड तालिका](https://phaseo.app/docs/hi/v1/sdk-reference/client/overview.md#find-the-method-for-each-endpoint)।

## एम्बेडिंग, रीरैंक और मॉडरेशन

```typescript TypeScript theme={null}
const embedding = await client.generateEmbedding({
  model: "openai/text-embedding-3-large",
  input: "Sample text",
});

const ranked = await client.rerank.create({
  model: "voyage/rerank-2",
  query: "How do I list models?",
  documents: ["Call GET /v1/models.", "Create an image with POST /v1/images/generations."],
});

await client.generateModeration({
  model: "openai/omni-moderation",
  input: "Some text to check",
});
```

```python Python theme={null}
embedding = client.generate_embedding(
    {"model": "openai/text-embedding-3-large", "input": "Sample text"}
)

ranked = client.rerank.create(
    {
        "model": "voyage/rerank-2",
        "query": "How do I list models?",
        "documents": ["Call GET /v1/models.", "Create an image with POST /v1/images/generations."],
    }
)

moderation = client.generate_moderation(
    {"model": "openai/omni-moderation", "input": "Text to check"}
)
```

```go Go theme={null}
embedding, err := client.GenerateEmbedding(ctx, map[string]interface{}{
  "model": "openai/text-embedding-3-large",
  "input": "Sample text",
})

moderation, err := client.GenerateModeration(ctx, map[string]interface{}{
  "model": "openai/omni-moderation",
  "input": "Some text to check",
})
```

```csharp C# theme={null}
var embedding = await client.CreateEmbedding(new Dictionary<string, object>
{
    ["model"] = "openai/text-embedding-3-large",
    ["input"] = "Sample text",
});

var moderation = await client.GenerateModeration(new Dictionary<string, object>
{
    ["model"] = "openai/omni-moderation",
    ["input"] = "Some text to check",
});
```

```php PHP theme={null}
$embedding = $client->generateEmbedding([
    'model' => 'openai/text-embedding-3-large',
    'input' => 'Sample text',
]);

$moderation = $client->generateModeration([
    'model' => 'openai/omni-moderation',
    'input' => 'Some text to check',
]);
```

```ruby Ruby theme={null}
embedding = client.generate_embedding(
  model: 'openai/text-embedding-3-large',
  input: 'Sample text'
)

moderation = client.generate_moderation(
  model: 'openai/omni-moderation',
  input: 'Some text to check'
)
```

```java Java theme={null}
var embedding = client.createEmbedding(Map.of(
    "model", "openai/text-embedding-3-large",
    "input", "Sample text"
));
```

```rust Rust theme={null}
// post(...) बिना high-level हेल्पर वाले एंडपॉइंट पर JSON भेजता है।
// पाथ में शुरुआती स्लैश हो भी सकता है और नहीं भी।
let response = client.post("/embeddings", &json!({
    "model": "openai/text-embedding-3-small",
    "input": "Phaseo routes across AI providers"
}))?;
```

## बैच और फ़ाइलें

```typescript TypeScript theme={null}
const file = await client.uploadFile({
  purpose: "batch",
  file: new Blob(["{}"], { type: "application/json" }),
  filename: "batch.jsonl",
});

const batch = await client.createBatch({
  input_file_id: file.id,
  endpoint: "/v1/responses",
  completion_window: "24h",
});

const batchStatus = await client.getBatch(batch.id);
```

```python Python theme={null}
uploaded = client.upload_file(
    purpose="batch",
    file=b'{"test": true}',
    filename="batch.jsonl",
    content_type="application/json",
)

batch = client.create_batch(
    {
        "endpoint": "/v1/responses",
        "input_file_id": uploaded["id"],
        "completion_window": "24h",
        "session_id": "agent-run-42",
    }
)

status = client.get_batch(batch["id"])
```

Go, C#, PHP, Ruby और Java में अपनी नामकरण शैली में `createBatch` और `retrieveBatch` हैं; [फ़ाइलें](https://phaseo.app/docs/hi/v1/sdk-reference/client/files.md) हर SDK में अपलोड कवर करता है।

## Async जॉब WebSocket URL

```typescript TypeScript theme={null}
const batchSocketUrl = client.batches.websocketUrl(batch.id, {
  intervalMs: 1500,
  closeOnTerminal: false,
});

const videoSocketUrl = client.videos.websocketUrl(video.id);
```

```python Python theme={null}
batch_socket_url = client.batches.websocket_url(
    batch["id"], interval_ms=1500, close_on_terminal=False
)

video_socket_url = client.videos.websocket_url(video["id"])
```

```java Java theme={null}
String batchSocketUrl = client.getBatchWebSocketUrl(batchId, 1500, false);
String videoSocketUrl = client.getVideoWebSocketUrl(videoId);
```

## मॉडल, हेल्थ और अकाउंट

क्रेडिट और गतिविधि के लिए मैनेजमेंट API कुंजी चाहिए।

```typescript TypeScript theme={null}
const models = await client.getModels();
const health = await client.getHealth();
const providers = await client.listProviders();

// क्रेडिट और गतिविधि के लिए मैनेजमेंट API कुंजी चाहिए।
const credits = await client.getCredits();
const activity = await client.getActivity({ days: 30 });
```

```python Python theme={null}
models = client.get_models()
health = client.get_health()
providers = client.list_providers()
generation = client.get_generation("G-01ABC...")

# क्रेडिट और गतिविधि के लिए मैनेजमेंट API कुंजी चाहिए।
credits = client.get_credits()
activity = client.get_activity({"days": 30})
```

```go Go theme={null}
models, err := client.GetModels(ctx, map[string]string{"limit": "10"})
health, err := client.Health(ctx)
```

```csharp C# theme={null}
var models = await client.ListModels(new Dictionary<string, string> { ["limit"] = "10" });
var health = await client.Health();
```

```php PHP theme={null}
$models = $client->listModels(['limit' => 10]);
$health = $client->health();
```

```ruby Ruby theme={null}
models = client.list_models(limit: 10)
health = client.health
```

```java Java theme={null}
var models = client.listModels(Map.of("limit", "10"));
```

## त्रुटियाँ संभालें

```typescript TypeScript theme={null}
import { PhaseoHttpError } from "@phaseo/sdk";

try {
  await client.generateText({ model: "invalid", messages: [{ role: "user", content: "Hi" }] });
} catch (error) {
  if (error instanceof PhaseoHttpError) {
    console.error(error.status, error.code, error.requestId, error.traceUrl);
  } else {
    throw error;
  }
}
```

```python Python theme={null}
from phaseo import PhaseoHTTPError

try:
    client.generate_text({"model": "invalid", "messages": [{"role": "user", "content": "Hi"}]})
except PhaseoHTTPError as error:
    print(error.status, error.code, error.request_id, error.trace_url)
```

```java Java theme={null}
import app.phaseo.gen.Client;
import app.phaseo.sdk.Phaseo;
import java.time.Duration;
import java.util.Map;

Phaseo client = new Phaseo(System.getenv("PHASEO_API_KEY"))
    .setTimeout(Duration.ofSeconds(30))
    .setMaxRetries(2);

try {
    var result = client.requestWithResponse("GET", "/models",
        Map.of("limit", "5"), null, null, null);
    System.out.println(result.requestId());
    System.out.println(result.data);
} catch (Client.ApiException error) {
    System.err.println(error.getStatusCode());
    System.err.println(error.getRequestId());
    System.err.println(error.getResponseBody());
}
```

```rust Rust theme={null}
let request = serde_json::json!({
    "model": "openai/gpt-6-astra",
    "input": "Handle this request"
});

match client.responses(&request) {
    Ok(response) => println!("{}", response.body),
    Err(error) => {
        eprintln!("message: {}", error.message);
        eprintln!("status: {:?}", error.status);
        eprintln!("body: {:?}", error.body);
    }
}
```

जब Gateway ने त्रुटि लौटाई हो, तो `PhaseoError` (Rust) में एक HTTP स्टेटस और पार्स की गई JSON बॉडी होती है; ट्रांसपोर्ट और कॉन्फ़िगरेशन विफलताओं में कोई स्टेटस नहीं होता। [परिचय](https://phaseo.app/docs/hi/v1/sdk-reference/client/overview.md#request-controls-and-errors) हर SDK के त्रुटि फ़ील्ड की सूची देता है।

## अनुरोध हेडर जोड़ें

**Rust:** `with_header` आगे के हर अनुरोध में एक हेडर जोड़ता है।

```rust Rust theme={null}
let client = Phaseo::from_env()?
    .with_header("x-phaseo-workspace-id", "workspace_123");
```


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.