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parcadei/Continuous-Claude-v3/.claude/skills/agentica-infrastructure/SKILL.md

Reference guide for Agentica multi-agent infrastructure APIs

Skill3.9k starsChanged 9 months ago

What's in it

  1. Agentica Infrastructure Reference
  2. When to Use
  3. Quick Reference
  4. 11 Pattern Classes
  5. Core Infrastructure
  6. Primitives
  7. Full API Spec
  8. Usage Example
  9. Location

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---
name: agentica-infrastructure
description: Reference guide for Agentica multi-agent infrastructure APIs
allowed-tools: [Read]
user-invocable: false
---

# 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, 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/`

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