- Add agent core modules (agent_core, factory, registry, skill_loader) - Add runtime system for agent execution management - Add REST API for agents, workspaces, and runtime control - Add process supervisor for agent lifecycle management - Add workspace template system with agent profiles - Add frontend RuntimeView and runtime API integration - Add per-agent skill workspaces for smoke_fullstack run - Refactor skill system with active/installed separation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
16 lines
378 B
Python
16 lines
378 B
Python
from __future__ import annotations
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Any, Dict
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@dataclass(frozen=True)
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class TradingRunContext:
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config_name: str
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run_dir: Path
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bootstrap_values: Dict[str, Any] = field(default_factory=dict)
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def describe(self) -> str:
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return f"Run {self.config_name} @ {self.run_dir}"
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