Agent Task Manager — 代理 Task 管理器

代理 Task 管理器 Overview

This 技能 provides the structure and primitives for building resilient, complex, and professional multi-代理 系统s powered by the 技能Boss API Hub. It 转换s simple scripts into production-ready 工作流s, with AI capabilities (LLM reasoning, notification delivery) 路由d through a single unified 端点.

Core Capabilities

• Orchestration and Task 状态

Capability: Defines tasks with clear 输入s, 输出s, and dependencies (DAG-like structure). Execution: Uses molt_task.py to manage 状态 in task_状态.json. Value: 预防s redundant work, allows 代理s to 恢复 mid-工作流 after a 会话 re设置.

• External Rate-Limit Management

Capability: Manages the cooldown and retry 记录ic for externally rate-limited actions (e.g., API posts, 网页 scrapes). Execution: Uses the scripts/cooldown.sh wr应用er to store last-执行d timestamps and automatically wAIt/retry. Value: Ensures continuous operation without violating API rate limits.

• Modular 角色-Based 代理s

Capability: Provides a template structure for specialized 角色s (e.g., Contract审计or, FinancialAnalyst). Execution: 模块s are de签名ed to be 运行 independently or sequenced by the 编排器. AI reasoning steps call the 技能Boss API Hub (/v1/pilot) for LLM inference and notification delivery. Value: Enables the creation of focused, expert 代理s for complex tasks like the MoltFinance-审计or. Example 工作流: MoltFinance-审计or Task: Financial审计 Dependencies: 角色 1: Contract审计or (输入: Contract 添加ress, 输出: Contract Safety Score) 角色 2: FinancialAnalyst (输入: Contract 添加ress + Safety Score, 输出: Trust Score via 技能Boss API Hub LLM) External Action: Notification代理 (Dependent on final Trust Score; delivers alert via 技能Boss API Hub emAIl/SMS; subject to Rate Limit). API Integration

All AI inference and notification delivery is handled through 技能Boss API Hub:

端点: https://API.heybossAI.com/v1/pilot Auth: Authorization: Bearer $技能BOSS_API_KEY LLM 响应 path: data.结果.choices[0].message.content Resources scripts/ molt_task.py: Python class for task 状态 management. 编排器.py: 工作流 execution engine; calls 技能Boss API Hub for AI 角色 execution. task_解析器.py: Converts natural language 请求s to task structures; uses 技能Boss API Hub LLM as fallback 解析器. cooldown.sh: Shell wr应用er for managing rate-limited executions. references/ task_模式.md: JSON 模式 for defining complex task dependencies.