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33829f2c1e
Co-authored-by: 4pmtong <web_chentong@163.com> Co-authored-by: Wendong-Fan <133094783+Wendong-Fan@users.noreply.github.com> Co-authored-by: Wendong-Fan <w3ndong.fan@gmail.com>
78 lines
3.3 KiB
Python
78 lines
3.3 KiB
Python
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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import os
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from camel.toolkits import OpenAIImageToolkit as BaseOpenAIImageToolkit
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from app.component.environment import env
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from app.service.task import Agents
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from app.utils.listen.toolkit_listen import auto_listen_toolkit, listen_toolkit
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from app.utils.toolkit.abstract_toolkit import AbstractToolkit
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from typing import Literal, Optional, Union, List
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@auto_listen_toolkit(BaseOpenAIImageToolkit)
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class OpenAIImageToolkit(BaseOpenAIImageToolkit, AbstractToolkit):
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agent_name: str = Agents.multi_modal_agent
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def __init__(
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self,
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api_task_id: str,
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model: None | Literal["gpt-image-1"] | Literal["dall-e-3"] | Literal["dall-e-2"] = "gpt-image-1",
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timeout: float | None = None,
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api_key: str | None = None,
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url: str | None = None,
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size: None
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| Literal["256x256"]
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| Literal["512x512"]
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| Literal["1024x1024"]
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| Literal["1536x1024"]
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| Literal["1024x1536"]
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| Literal["1792x1024"]
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| Literal["1024x1792"]
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| Literal["auto"] = "1024x1024",
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quality: None
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| Literal["auto"]
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| Literal["low"]
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| Literal["medium"]
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| Literal["high"]
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| Literal["standard"]
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| Literal["hd"] = "standard",
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response_format: None | Literal["url"] | Literal["b64_json"] = "b64_json",
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background: None | Literal["transparent"] | Literal["opaque"] | Literal["auto"] = "auto",
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style: None | Literal["vivid"] | Literal["natural"] = None,
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working_directory: str | None = None,
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):
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self.api_task_id = api_task_id
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super().__init__(
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model, timeout, api_key, url, size, quality, response_format, background, style, working_directory
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)
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@listen_toolkit(BaseOpenAIImageToolkit.generate_image)
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def generate_image(self, prompt: str, image_name: Union[str, List[str]] = "image.png", n: int = 1,) -> str:
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# Validate image_name ends with .png
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if isinstance(image_name, str):
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if not image_name.endswith('.png'):
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return f"Error: Image name must end with .png, got: {image_name}"
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elif isinstance(image_name, list):
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for name in image_name:
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if not name.endswith('.png'):
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return f"Error: All image names must end with .png, got: {name}"
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return super().generate_image(prompt, image_name, n)
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def _build_base_params(self, prompt: str, n: Optional[int] = None) -> dict:
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params = super()._build_base_params(prompt, n)
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params["user"] = self.api_task_id # support cloud key billing
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return params
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