jpmschweitzerandClaude Opus 4.5
3b58fa4f8b
Structure webber into three independent subprojects: - webber-api/: FastAPI backend server with all agent code - webber-cli/: Standalone CLI client (renamed from cli/ to webber_cli/) - webber-sandbox/: Test project for functional testing Key changes: - Each subproject has its own .venv (Python 3.12+) - Added sandbox.sh for managing test project templates - Created sandbox-templates/ with calculator-cli and empty starter - Updated CI/CD for prefixed tags (api/v*, cli/v*) - Added comprehensive AGENTS.md with operational instructions - Added gitignore filtering to glob and grep tools - Created pyproject.toml for each subproject Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
"""
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Session state management.
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"""
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from dataclasses import dataclass, field
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from datetime import datetime
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from typing import Literal
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@dataclass
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class Message:
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"""Single message in conversation history."""
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role: Literal["user", "assistant", "system"]
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content: str
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timestamp: datetime = field(default_factory=datetime.now)
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def __str__(self) -> str:
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return f"[{self.role}] {self.content[:50]}..."
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@dataclass
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class SessionState:
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"""
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Persistent state for a CLI session.
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Tracks conversation history and context.
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"""
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working_dir: str
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messages: list[Message] = field(default_factory=list)
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started_at: datetime = field(default_factory=datetime.now)
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# Token tracking (for future context management)
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estimated_tokens: int = 0
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max_tokens: int = 128000
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def add_message(self, role: Literal["user", "assistant", "system"], content: str) -> None:
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"""Add a message to history."""
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self.messages.append(Message(role=role, content=content))
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# Rough token estimate (4 chars per token)
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self.estimated_tokens += len(content) // 4
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def get_history(self, limit: int | None = None) -> list[Message]:
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"""Get recent message history."""
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if limit:
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return self.messages[-limit:]
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return self.messages
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def clear_history(self) -> None:
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"""Clear message history."""
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self.messages.clear()
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self.estimated_tokens = 0
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@property
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def message_count(self) -> int:
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"""Number of messages in history."""
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return len(self.messages)
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@property
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def is_near_limit(self) -> bool:
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"""Check if approaching token limit."""
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return self.estimated_tokens > (self.max_tokens * 0.8)
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