Code RolePlaying example
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| domain = "Sociology" | ||
| meta_dict = {"language": language, "domain": domain} | ||
| role_play_session = RolePlaying( | ||
| f"{language} Programmer", |
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I think this in-place prompt engineering should not be here. The cool thing about camel is that it incapsulate all the prompts. So the external API can only enter the parameters and all the prompt engineering happens behind the API. This is for the future rework.
| language = "JavaScript" | ||
| domain = "Sociology" | ||
| meta_dict = {"language": language, "domain": domain} | ||
| role_play_session = RolePlaying( |
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Thanks for the example. I will update the code for Agents accordingly.
| from camel.utils import print_text_animated | ||
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| def main(model_type=None) -> None: |
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Let's also put main into tests/CI since you have it parametrized
| with_task_specify=True, | ||
| model_type=model_type, | ||
| task_type=TaskType.CODE, | ||
| extend_sys_msg_meta_dicts=[meta_dict, meta_dict], |
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This is too complicated as an API. Very unintuitive. We need to segregate prompt engineering of AI society and Code from the dialogue algorithm of RolePlaying. I would create an instance of RolePair into the constructor of RolePlaying. AISocietyRoles and CodeRoles are the concrete classes inherited from RolePair. TDYT @lightaime
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This is the right place to apply dependency inversion to disentangle {AISocietyRoles and CodeRoles} from RolePlaying via the interface RolePair.
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RolePair may not be accurate. They are the keywords in the prompts.
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Sorry, I do not understand your point
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