Handling image returns from Function Calling Tool.

[old sorrel]

What is the proper way to handle image returns from an external tool?
Context
The code processes tool results that can include text or images in base64 form.
After calling a tool, the code constructs new chat messages containing:
A role set to "tool",
A content key that holds a list of blocks, such as {"type": "text", "text": "..."} or {"type": "image_url", ...}.
These messages are then appended to the conversation history and passed through Pydantic validation.
Example Excerpt
python
Copy code
tools_content = [
{"type": "text", "text": part.text}
for part in filter(lambda x: x.type in ["text", "image"], tool_call_result.content)
]
if not tools_content:
tools_content = [
{"type": "text", "text": "the tool call result is empty"}
]

request.messages.append(
ChatCompletionRequestMessage.model_validate(
{
"role": "tool", # Custom role
"content": tools_content, # List of blocks
"tool_call_id": tool_call.id,
}
)
)
Observed Behavior
When ChatCompletionRequestMessage.model_validate(...) runs on a message that includes "role": "tool" and "content" with structures like {"type": "image_url"}, Pydantic reports multiple validation errors. Examples of these errors include:

typescript
Copy code
Input should be a valid string [type=string_type]
...
Input should be 'text' [type=enum, input_value='image_url']
...
Input should be one of 'system', 'user', 'assistant', 'function' [type=enum, input_value='tool']
These errors occur because the Pydantic schema is not accepting custom roles beyond the standard ones ("system", "user", "assistant", "function") or complex content formats such as {"type": "image_url", ...} blocks.

[cold sky]

Hi @old sorrel. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

---

Hmm, I don't know enough to give you a confident answer yet. It seems like the issue you're encountering is related to the Pydantic validation schema not supporting custom roles or complex content formats like {"type": "image_url", ...}. The knowledge sources provided do not include specific guidance on handling image returns from external tools in this context.

For more detailed information, you might want to refer to the OpenAI API documentation (https://platform.openai.com/docs/api-reference) or explore the Pydantic documentation to understand how to extend or modify schemas to accommodate custom roles and content types.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

@old sorrel Kapa.ai is still learning and improving, please let me know how I did by reacting below.

[old sorrel]

@cold sky How do we process image returns from function calls? Like for instance we want to return a picture from an external call to an image generation service?

[cold sky]

Let me check the knowledge base for you again. One moment! :books:

---

To process image returns from function calls, especially when dealing with an image generation service, you can follow these steps based on the knowledge sources provided:

1. Generate the Image: Use the image generation service to create the image. For example, if you're using the DALL·E API, you can generate an image and receive it as a URL or Base64 data. Here's a sample code snippet for generating an image using DALL·E:

   response = client.images.generate(
       model='dall-e-3',
       prompt="A photograph of a white Siamese cat.",
       n=1,
       size="1024x1024",
       response_format="url"
   )
   image_url = response.data[0].url
   

   Source (https://platform.openai.com/docs/guides/images#example-dall-e-3-generations)

2. Handle the Image Return: Once you have the image URL or Base64 data, you can construct a message to include this image in your application. If you're using a chat or messaging system, you might need to format the message content to include the image URL.

3. Send the Image in a Message: If your system requires sending the image as part of a conversation or message, you can format the message content to include the image URL. Ensure that your message handling system supports the inclusion of image URLs or Base64 data.

4. Validation and Error Handling: If you're using a schema validation tool like Pydantic, ensure that your schema can handle the custom content types, such as {"type": "image_url", ...}. You may need to adjust your schema to accept these types if you encounter validation errors.

For more detailed implementation, you might need to refer to the specific documentation of the image generation service and the messaging or validation framework you are using. If you encounter issues with schema validation, consider consulting the Pydantic documentation for guidance on extending or modifying schemas.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

@old sorrel Kapa.ai is still learning and improving, please let me know how I did by reacting below.

[old sorrel]

@cold sky Put this strictly in context of open ai function calling

[cold sky]

Let me check the knowledge base for you again. One moment! :books:

---

To process image returns from function calls in the context of OpenAI's function calling, you can follow these steps:

1. Generate the Image: Use an image generation service, such as DALL·E, to create the image. You can receive the image as a URL or in Base64 format. Here's an example of generating an image using DALL·E:

   generation_response = client.images.generate(
       model="dall-e-3",
       prompt="A photograph of a white Siamese cat.",
       n=1,
       size="1024x1024",
       response_format="url"
   )
   image_url = generation_response.data[0].url
   

2. Return the Image in Function Calls: When returning the image from a function call, you can include the image URL in the response content. Ensure that the content structure supports image URLs. For example, you might structure the response content like this:

   response_content = [
       {"type": "text", "text": "Here is the generated image:"},
       {"type": "image_url", "image_url": {"url": image_url}}
   ]
   

3. Handle the Image in Messages: When constructing messages that include the image, ensure that your message handling system can process and display image URLs. If you're using a schema validation tool like Pydantic, make sure the schema is configured to accept custom content types such as {"type": "image_url", ...}.

4. Validation and Error Handling: If you encounter validation errors, you may need to adjust your schema to accommodate custom roles or content types. This might involve extending the schema to recognize and validate image URLs properly.

For more detailed guidance, you can refer to the OpenAI API documentation (https://platform.openai.com/docs/api-reference) for information on handling image data and function calls. If you need to adjust your schema, consider consulting the Pydantic documentation for schema customization.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: