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