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# Multimodal Input Examples
This folder contains examples demonstrating how to send multimodal content (images, audio, PDF files) to AI agents using the Agent Framework.
## Examples
### OpenAI Chat Client
- **File**: `openai_chat_multimodal.py`
- **Description**: Shows how to send images, audio, and PDF files to OpenAI's Chat Completions API
- **Supported formats**: PNG/JPEG images, WAV/MP3 audio, PDF documents
### Azure OpenAI Chat Client
- **File**: `azure_chat_multimodal.py`
- **Description**: Shows how to send images to Azure OpenAI Chat Completions API
- **Supported formats**: PNG/JPEG images (PDF files are NOT supported by Chat Completions API)
### Azure OpenAI Responses Client
- **File**: `azure_responses_multimodal.py`
- **Description**: Shows how to send images and PDF files to Azure OpenAI Responses API
- **Supported formats**: PNG/JPEG images, PDF documents (full multimodal support)
## Environment Variables
Set the following environment variables before running the examples:
**For OpenAI:**
- `OPENAI_API_KEY`: Your OpenAI API key
**For Azure OpenAI:**
- `AZURE_OPENAI_ENDPOINT`: Your Azure OpenAI endpoint
- `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`: The name of your Azure OpenAI chat model deployment
- `AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME`: The name of your Azure OpenAI responses model deployment
Optionally for Azure OpenAI:
- `AZURE_OPENAI_API_VERSION`: The API version to use (default is `2024-10-21`)
- `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (if not using `AzureCliCredential`)
**Note:** You can also provide configuration directly in code instead of using environment variables:
```python
# Example: Pass deployment_name directly
client = AzureOpenAIChatClient(
credential=AzureCliCredential(),
deployment_name="your-deployment-name",
endpoint="https://your-resource.openai.azure.com"
)
```
## Authentication
The Azure example uses `AzureCliCredential` for authentication. Run `az login` in your terminal before running the example, or replace `AzureCliCredential` with your preferred authentication method (e.g., provide `api_key` parameter).
## Running the Examples
```bash
# Run OpenAI example
python openai_chat_multimodal.py
# Run Azure Chat example (requires az login or API key)
python azure_chat_multimodal.py
# Run Azure Responses example (requires az login or API key)
python azure_responses_multimodal.py
```
## Using Your Own Files
The examples include small embedded test files for demonstration. To use your own files:
### Method 1: Data URIs (recommended)
```python
import base64
# Load and encode your file
with open("path/to/your/image.jpg", "rb") as f:
image_data = f.read()
image_base64 = base64.b64encode(image_data).decode('utf-8')
image_uri = f"data:image/jpeg;base64,{image_base64}"
# Use in DataContent
Content.from_uri(
uri=image_uri,
media_type="image/jpeg"
)
```
### Method 2: Raw bytes
```python
# Load raw bytes
with open("path/to/your/image.jpg", "rb") as f:
image_bytes = f.read()
# Use in DataContent
Content.from_data(
data=image_bytes,
media_type="image/jpeg"
)
```
## Supported File Types
| Type | Formats | Notes |
| --------- | -------------------- | ------------------------------ |
| Images | PNG, JPEG, GIF, WebP | Most common image formats |
| Audio | WAV, MP3 | For transcription and analysis |
| Documents | PDF | Text extraction and analysis |
## API Differences
- **OpenAI Chat Completions API**: Supports images, audio, and PDF files
- **Azure OpenAI Chat Completions API**: Supports images only (no PDF/audio file types)
- **Azure OpenAI Responses API**: Supports images and PDF files (full multimodal support)
Choose the appropriate client based on your multimodal needs and available APIs.