Celes Renata
57619860d5
Complete implementation of the DCOS package including: - 40+ Python source files across agents, communication, core, learning, memory, protocols, utils - pyproject.toml build configuration - 102 unit tests across all subsystems - Fixed flake.nix (Python 3.12, proper dependencies, pyproject build) - Fixed .woodpecker.yml (correct paths, removed silent-fail flags) - Added .gitignore - Cleared stale pytest cache
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
"""
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Creative agent — generates novel ideas, metaphors, and creative solutions.
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"""
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from __future__ import annotations
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from typing import Any, Dict, List
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from .base import Agent, AgentRole
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class CreativeAgent(Agent):
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"""Idea generation and creative problem-solving agent."""
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def __init__(self, name: str = "creative") -> None:
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super().__init__(name, AgentRole.CREATIVE)
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self._creations: List[Dict[str, Any]] = []
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self.register_capability("idea_generation")
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self.register_capability("analogical_reasoning")
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def act(self, context: Dict[str, Any]) -> Dict[str, Any]:
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prompt = context.get("prompt", "generate")
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idea = self.generate(prompt)
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return {"idea": idea, "originality_score": 0.8}
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def generate(self, prompt: str) -> Dict[str, Any]:
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idea = {
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"title": f"Creative concept for: {prompt}",
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"description": "A novel approach using cross-domain synthesis",
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"novelty": 0.85,
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"feasibility": 0.6,
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}
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self._creations.append(idea)
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return idea
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