# Analyze Image Content — OpenAI (ChatGPT)

> Send a message or question about an image and receive a response. See the documentation

- Key: `openai-analyze-image-content`
- Type: Action (Write)
- Version: 1.2.0
- App: OpenAI (ChatGPT) (`openai`) — https://pipedream.com/apps/openai.md
- This page (HTML): https://pipedream.com/apps/openai/actions/analyze-image-content
- Hints: open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/openai/actions/analyze-image-content/analyze-image-content.mjs

## Description

Send a message or question about an image and receive a response. [See the documentation](https://developers.openai.com/api/reference/resources/responses/methods/create)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `modelId` | `string` | Yes | The ID of the vision-capable model to use with the Responses API (e.g. gpt-4o, gpt-4.1, gpt-4.1-mini, gpt-5) Options are loaded from the connected account. |
| `message` | `string` | Yes | The message or question to send |
| `imageFileId` | `string` | No | The ID of the file to use for this request. Options are loaded from the connected account. |
| `filePath` | `string` | No | The image to process. Provide a path to a file in the /tmp directory (for example, /tmp/myFile.jpg). Supported image types: jpeg, jpg, png, gif, webp |
| `fileUrl` | `string` | No | The image to process. Provide a URL to a file (for example, https://example.com/myFile.jpg). Supported image types: jpeg, jpg, png, gif, webp |
| `imageDetailLevel` | `string` | No | The detail parameter tells the model what level of detail to use when processing and understanding the image (low, high, original, or auto). If you skip the parameter, the model will use auto. |
| `syncDir` | `dir` | No | SyncDir |

## 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": "openai",
      },
    },
  },
)

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: "openai-analyze-image-content",
  arguments: {
    modelId: "Model",
    message: "Message",
  },
})
```

**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: "openai-analyze-image-content",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    openai: { authProvisionId: "apn_xxxxxxx" },
    modelId: "Model",
    message: "Message",
  },
})

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": "openai-analyze-image-content",
    "configured_props": {
      "openai": { "authProvisionId": "apn_xxxxxxx" },
      "modelId": "Model",
      "message": "Message"
    }
  }'
```

---

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