[BUG] FewShotGenerator Response_format Using DataPoint Is Not Accepted

Apr 21, 2025 by ADMIN 71 views

Required Prerequisites

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[x] We have read the documentation https://camel-ai.github.io/camel/camel.html.
[x] We have searched the Issue Tracker and Discussions that this hasn't already been reported. (+1 or comment there if it has.)
[ ] We consider asking first in a Discussion.

Version of Camel Used

We are using version 0.2.46 of the Camel AI framework.

System Information

No additional system information is provided.

Problem Description

In the DataPoint model, we have defined an Optional[Dict[str, Any]] type for the metadata field. However, when we attempt to use this type in the response_format parameter of the FewShotGenerator agent, we encounter an error.

The error occurs when we try to perform a structured output using the DataPoint response format. The error message indicates that the schema for the response_format is invalid, specifically stating that the additionalProperties field is required to be supplied and set to false.

Reproducible Example Code

The following Python code snippet demonstrates the issue:

from pydantic import BaseModel, Field

from camel.agents import ChatAgent
from camel.models import ModelFactory
from camel.types import ModelPlatformType, ModelType
from camel.datasets.models import DataPoint

# Define system message
assistant_sys_msg = "You are a helpful assistant."

model = ModelFactory.create(
    model_platform=ModelPlatformType.DEFAULT,
    model_type=ModelType.DEFAULT,
)

# Set agent
camel_agent = ChatAgent(assistant_sys_msg, model=model)

# Get response information
response = camel_agent.step("generate a joke", response_format=DataPoint)
print(response.msgs[0].content)

When we run this code, we receive the following error:

openai.BadRequestError: Error code: 400 - {'error': {'message': "Invalid schema for response_format 'DataPoint': In context=('properties', 'metadata', 'anyOf', '0'), 'additionalProperties' is required to be supplied and to be false.", 'type': 'invalid_request_error', 'param': 'response_format', 'code': None}}

Expected Behavior

We expect the FewShotGenerator agent to accept the DataPoint response format without encountering any errors.

Additional Context

No additional context is provided.

Solution

To resolve this issue, we need to modify the DataPoint model to include the additionalProperties field and set it to false. We can do this by adding the following code to the DataPoint model:

from pydantic import BaseModel, Field

class DataPoint(BaseModel):
    # ... existing fields ...

    metadata: Optional[Dict[str, Any]] = Field(
        default=None,
        description="Additional metadata about the data point.",
        extra=False  # Add this line to set additionalProperties to false
    )

Q: What is the issue with using DataPoint as the response_format for FewShotGenerator?

A: The issue is that the DataPoint model does not include the additionalProperties field, which is required to be supplied and set to false when using the DataPoint response format.

Q: What is the error message that is displayed when trying to use DataPoint as the response_format?

A: The error message is:

openai.BadRequestError: Error code: 400 - {'error': {'message': "Invalid schema for response_format 'DataPoint': In context=('properties', 'metadata', 'anyOf', '0'), 'additionalProperties' is required to be supplied and to be false.", 'type': 'invalid_request_error', 'param': 'response_format', 'code': None}}

Q: How can I resolve this issue?

A: To resolve this issue, you need to modify the DataPoint model to include the additionalProperties field and set it to false. You can do this by adding the following code to the DataPoint model:

from pydantic import BaseModel, Field

class DataPoint(BaseModel):
    # ... existing fields ...

    metadata: Optional[Dict[str, Any]] = Field(
        default=None,
        description="Additional metadata about the data point.",
        extra=False  # Add this line to set additionalProperties to false
    )

Q: Why is the `additionalProperties` field required?

A: The additionalProperties field is required because it specifies whether additional properties can be added to the model. In this case, we want to prevent additional properties from being added, so we set it to false.

Q: What are the benefits of using DataPoint as the response_format?

A: Using DataPoint as the response_format provides several benefits, including:

It allows you to include additional metadata about the data point.
It provides a structured output that can be easily parsed and processed.
It enables you to use the data point in a variety of applications and workflows.

Q: Are there any other ways to resolve this issue?

A: Yes, there are other ways to resolve this issue. One alternative is to use a different response format that does not require the additionalProperties field. However, using DataPoint as the response_format provides several benefits, so it is generally the recommended approach.

Q: Can I use DataPoint as the response_format with other agents?

A: Yes, you can use DataPoint as the response_format with other agents. However, you may need to modify the agent's configuration or code to accommodate the DataPoint response format.

Q: How do I know if I need to use DataPoint as the response_format?

A: You need to use DataPoint as the response_format if you want to include additional metadata about the data point or if you want to use the data point in a structured output. If you do not need these features, you can use a different response format.