agentica-infrastructure

@parcadei · 收录于 1 周前 · 上游提交 5 个月前

Reference guide for Agentica multi-agent infrastructure APIs

场景api集成多智能体开发

适合你，如果你正在开发基于Agentica的多智能体应用

/ 下载安装

agentica-infrastructure.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill ↓ .zip

用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录

Claude Code~/.claude/skills/(项目级 .claude/skills/)

Codex CLI~/.codex/skills/

Cursor自动读取上面两处目录

其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同

/ 通过 npx 安装 校验哈希

npx oh-my-skill add parcadei/continuous-claude-v3/agentica-infrastructure

/ 通过 bash 安装

curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- parcadei/continuous-claude-v3/agentica-infrastructure

/ 已经装过?验证本机副本,不用重装

npx oh-my-skill verify parcadei/continuous-claude-v3/agentica-infrastructure

安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。

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怎么用

商店整理自技能原文 · 版本 d07ff4b · 表述以原文为准

它做什么

安装后，Claude 可以调用多智能体协调模式（如 Swarm、Jury）和基础设施组件（如 CoordinationDB、tracked_spawn），用于构建多智能体工作流。

什么时候触发

当您需要构建多智能体工作流、了解模式类的构造函数签名、协调数据库模式，或调试智能体跟踪与孤儿检测时触发。

装好后可以这样说

Claude 会创建 Swarm 实例并执行审查。

Claude 会创建 Jury 实例并返回投票结果。

Claude 会初始化数据库并返回实例。

技能原文 SKILL.md作者撰写 · MIT · d07ff4b

Agentica Infrastructure Reference

Complete API specification for Agentica multi-agent coordination infrastructure.

When to Use

Building multi-agent workflows with Agentica patterns
Need exact constructor signatures for pattern classes
Want to understand coordination database schema
Implementing custom patterns using primitives
Debugging agent tracking or orphan detection

Quick Reference

11 Pattern Classes

| Pattern | Purpose | Key Method | |---------|---------|------------| | Swarm | Parallel perspectives | .execute(query) | | Pipeline | Sequential stages | .run(initial_state) | | Hierarchical | Coordinator + specialists | .execute(task) | | Jury | Voting consensus | .decide(return_type, question) | | GeneratorCritic | Iterative refinement | .run(task) | | CircuitBreaker | Failure fallback | .execute(query) | | Adversarial | Debate + judge | .resolve(question) | | ChainOfResponsibility | Route to handler | .process(query) | | MapReduce | Fan out + reduce | .execute(query, chunks) | | Blackboard | Shared state | .solve(query) | | EventDriven | Event bus | .publish(event) |

Core Infrastructure

| Component | File | Purpose | |-----------|------|---------| | CoordinationDB | coordination.py | SQLite tracking | | tracked_spawn | tracked_agent.py | Agent with tracking | | HandoffAtom | handoff_atom.py | Universal handoff format | | BlackboardCache | blackboard.py | Hot tier communication | | MemoryService | memory_service.py | Core + Archival memory | | create_claude_scope | claude_scope.py | Scope with file ops |

Primitives

| Primitive | Purpose | |-----------|---------| | Consensus | Voting (MAJORITY, UNANIMOUS, THRESHOLD) | | Aggregator | Combine results (MERGE, CONCAT, BEST) | | HandoffState | Structured agent handoff | | build_premise | Structured premise builder | | gather_fail_fast | TaskGroup-based parallel execution |

Full API Spec

See: API_SPEC.md in this skill directory

Usage Example

from scripts.agentica_patterns.patterns import Swarm, Jury
from scripts.agentica_patterns.primitives import ConsensusMode
from scripts.agentica_patterns.coordination import CoordinationDB
from scripts.agentica_patterns.tracked_agent import tracked_spawn

# Create tracking database
db = CoordinationDB(session_id="my-session")

# Swarm with tracking
swarm = Swarm(
    perspectives=["Security expert", "Performance expert"],
    db=db
)
result = await swarm.execute("Review this code")

# Jury with consensus
jury = Jury(
    num_jurors=3,
    consensus_mode=ConsensusMode.MAJORITY,
    premise="You evaluate code quality",
    db=db
)
verdict = await jury.decide(bool, "Is this code production ready?")

Location

API spec: .claude/skills/agentica-infrastructure/API_SPEC.md Source: scripts/agentica_patterns/

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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