ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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import uuid
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from dataclasses import dataclass
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from enum import Enum
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from pydantic import BaseModel
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from typing_extensions import Optional, Dict,Any
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class SandboxStatus(Enum):
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"""Sandbox status enumeration."""
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INIT = 'Pending' # Initialization state
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RUNNING = 'Running' # Running
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STOPPED = 'Stopped' # Stopped
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ERROR = 'Failed' # Error state
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REMOVED = 'Removed' # Removed
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UNKNOWN = 'Unknown' # Removed
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class SandboxEnvType(Enum):
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"""Sandbox env type enumeration."""
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LOCAL = 1
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K8S = 2
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SUPERCOMPUTER = 3
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@dataclass
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class SandboxCreateResponse:
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sandbox_id: str = str(uuid.uuid4())
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env_type: int = SandboxEnvType.LOCAL
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status: Optional[str] = None
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mcp_config: Optional[Any] = None
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@dataclass
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class SandboxK8sResponse(SandboxCreateResponse):
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pod_name: Optional[str] = None
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service_name: Optional[str] = None
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cluster_ip: Optional[str] = None
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host: Optional[str] = None
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@dataclass
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class SandboxLocalResponse(SandboxCreateResponse):
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host: Optional[str] = None
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@dataclass
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class SandboxSuperResponse(SandboxCreateResponse):
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host: Optional[str] = None
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@dataclass
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class SandboxInfo:
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"""Information about a sandbox."""
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sandbox_id: str
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"""Sandbox ID."""
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status: str
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"""sandbox status"""
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metadata: Dict[str, str]
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"""Saved sandbox metadata."""
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class EnvConfig(BaseModel):
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"""Data structure contained in the environment"""
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name: str = "default"
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version: str = "1.0.0"
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dockerfile: Optional[str] = None #Dockerfile of the image required when creating the environment
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