# Translate Text — Azure OpenAI

> Translate text from one language to another. See the documentation

- Key: `azure_openai_service-translate-text`
- Type: Action (Read-only)
- Version: 0.0.2
- App: Azure OpenAI (`azure_openai_service`) — https://pipedream.com/apps/azure-openai-service.md
- This page (HTML): https://pipedream.com/apps/azure-openai-service/actions/translate-text
- Hints: read-only · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/azure_openai_service/actions/translate-text/translate-text.mjs

## Description

Translate text from one language to another. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `text` | `string` | Yes | Text to translate |
| `sourceLang` | `string` | Yes | The language of your provided text |
| `targetLang` | `string` | Yes | The language you want to translate your text to |
| `temperature` | `string` | No | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. |
| `n` | `integer` | No | How many completions to generate |
| `stream` | `boolean` | No | If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message. |
| `stop` | `string` | No | Up to 4 sequences where the API will stop generating further tokens. |
| `maxTokens` | `integer` | No | The maximum number of tokens allowed for the generated answer. By default, the number of tokens the model can return will be (4096 - prompt tokens). |
| `presencePenalty` | `string` | No | Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. |
| `frequencyPenalty` | `string` | No | Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. |
| `user` | `string` | No | A unique identifier representing your end-user, which can help Azure OpenAI to monitor and detect abuse. |

## Run it

**MCP**

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "azure_openai_service",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
  name: "azure_openai_service-translate-text",
  arguments: {
    text: "Text",
    sourceLang: "Source language",
  },
})
```

**TypeScript**

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "azure_openai_service-translate-text",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    azure_openai_service: { authProvisionId: "apn_xxxxxxx" },
    text: "Text",
    sourceLang: "Source language",
  },
})

console.log(result)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "azure_openai_service-translate-text",
    "configured_props": {
      "azure_openai_service": { "authProvisionId": "apn_xxxxxxx" },
      "text": "Text",
      "sourceLang": "Source language"
    }
  }'
```

---

- App: https://pipedream.com/apps/azure-openai-service.md · All apps: https://pipedream.com/apps