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| from typing import Any, Literal | |
| from pydantic import BaseModel, Field | |
| class Observation(BaseModel): | |
| ticket_id: str | None = None | |
| ticket_status: str | None = None | |
| attempts_used: int = 0 | |
| attempts_remaining: int = 0 | |
| severity: Literal["low", "medium", "high"] = "low" | |
| summary: str = "" | |
| embedding: list[float] | None = None | |
| queue_length: int = 0 | |
| waiting_tickets: list[dict[str, Any]] = Field(default_factory=list) | |
| agents_available: int = 0 | |
| current_time: float = 0.0 | |
| level: int = 1 | |
| memory_used: int = 0 | |
| memory_budget: int = 0 | |
| class Action(BaseModel): | |
| action_type: Literal[ | |
| "triage", | |
| "respond", | |
| "resolve", | |
| "escalate", | |
| "assign", | |
| "reprioritize", | |
| "skip", | |
| "compress_memory", | |
| ] | |
| ticket_id: str | None = None | |
| agent_id: str | None = None | |
| priority: int | None = None | |
| note: str = "" | |
| class RewardSignal(BaseModel): | |
| value: float | |
| reason: str | |
| class StepResult(BaseModel): | |
| observation: Observation | |
| reward: RewardSignal | |
| done: bool | |
| info: dict[str, Any] = Field(default_factory=dict) | |