Agentica Infrastructure

作者 parcadeid07ff4b06b62無授權條款3.9K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫8 個月前更新

Reference guide for Agentica multi-agent infrastructure APIs

僅含說明AI & Agents

AI 產生的概覽

記錄 Agentica 多代理基礎設施 API、模式類別、原語與協調元件的參考指南。

功能: 提供 Agentica 多代理協調基礎設施的參考規格，列出 Swarm、Pipeline、Jury 等十一個模式類別及其關鍵方法。它也記錄 CoordinationDB、tracked_spawn、HandoffAtom 等核心基礎設施元件，以及 Consensus、Aggregator 等原語。完整 API 規格位於隨附的 API_SPEC.md 檔案中，技能內還包含一個 Python 使用範例。
適用情境: 適用於使用 Agentica 模式建構多代理工作流程，或需要模式類別精確建構函式簽章時。也用於理解協調資料庫結構、使用原語實作自訂模式，或除錯代理追蹤與孤立偵測。
執行需求: 僅為說明文件，不執行指令碼。它引用技能目錄中的 API_SPEC.md 以及 scripts/agentica_patterns/ 下的原始檔，使用範例從該路徑匯入 Python 模組。

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

python

from scripts.agentica_patterns.patterns import Swarm, Juryfrom scripts.agentica_patterns.primitives import ConsensusModefrom scripts.agentica_patterns.coordination import CoordinationDBfrom scripts.agentica_patterns.tracked_agent import tracked_spawn
# Create tracking databasedb = CoordinationDB(session_id="my-session")
# Swarm with trackingswarm = Swarm(    perspectives=["Security expert", "Performance expert"],    db=db)result = await swarm.execute("Review this code")
# Jury with consensusjury = 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?")

from scripts.agentica_patterns.patterns import Swarm, Juryfrom scripts.agentica_patterns.primitives import ConsensusModefrom scripts.agentica_patterns.coordination import CoordinationDBfrom scripts.agentica_patterns.tracked_agent import tracked_spawn
# Create tracking databasedb = CoordinationDB(session_id="my-session")
# Swarm with trackingswarm = Swarm(    perspectives=["Security expert", "Performance expert"],    db=db)result = await swarm.execute("Review this code")
# Jury with consensusjury = 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/

來源與署名

來源：parcadei/continuous-claude-v3位於.claude/skills/agentica-infrastructure提交d07ff4b

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檢舉或申請下架

Agentica Infrastructure

Agentica Infrastructure Reference

When to Use

Quick Reference

11 Pattern Classes

Core Infrastructure

Primitives

Full API Spec

Usage Example

Location

來源與署名

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