geepers-orchestrate多智能体编排

Run multi-agent Dream Cascade (hierarchical 3-tier synthesis) or Dream Swarm (parallel multi-domain search) workflows via the dr.eamer.dev orchestration API. Use when a task benefits from multiple specialized agents working in parallel or hierarchically.

作者: admin | 来源: ClawHub

Dreamer Orchestrate

Run multi-agent workflows through https://api.dr.eamer.dev.

Authentication

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Endpoints

Dream Swarm — Parallel Search

POST https://api.dr.eamer.dev/v1/orchestrate/swarm
Body:
{
  "query": "What are the most effective treatments for Type 2 diabetes?",
  "sources": ["pubmed", "semantic_scholar", "wikipedia"],
  "num_agents": 5
}

Runs multiple agents simultaneously across data sources and synthesizes results.

Dream Cascade — Hierarchical Synthesis

POST https://api.dr.eamer.dev/v1/orchestrate/cascade
Body:
{
  "task": "Analyze the current state of quantum computing hardware",
  "num_agents": 8,
  "provider": "anthropic"
}

Three-tier workflow: Belter agents gather raw data → Drummer agents synthesize domains → Camina produces executive summary.

Response Format

Both endpoints return:
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When to Use

- Complex research questions requiring multiple perspectives
Cross-domain synthesis that would take multiple sequential queries
Long-horizon analysis where parallelism saves time

Don't Use When

- Simple single-source queries (use dreamer-data instead)
You need fine-grained control over individual agent behavior
Latency is critical (orchestration takes 10-60 seconds)

Dreamer Orchestrate

通过 https://api.dr.eamer.dev 运行多智能体工作流。

身份验证

bash
export DREAMERAPIKEY=yourkeyhere

端点

Dream Swarm — 并行搜索

POST https://api.dr.eamer.dev/v1/orchestrate/swarm
请求体:
{
query: 2型糖尿病最有效的治疗方法有哪些？,
sources: [pubmed, semantic_scholar, wikipedia],
num_agents: 5
}

跨数据源同时运行多个智能体并综合结果。

Dream Cascade — 层级综合

POST https://api.dr.eamer.dev/v1/orchestrate/cascade
请求体:
{
task: 分析量子计算硬件的当前状态,
num_agents: 8,
provider: anthropic
}

三层工作流：Belter 智能体收集原始数据 → Drummer 智能体综合各领域 → Camina 生成执行摘要。

响应格式

两个端点均返回：
json
{
result: 综合答案...,
sources: [...],
agent_count: 5,
duration_ms: 12450
}

适用场景

- 需要多角度分析的复杂研究问题
需要多次顺序查询的跨领域综合
并行处理可节省时间的长期分析

不适用场景

- 简单的单源查询（请使用 dreamer-data）
需要对单个智能体行为进行精细控制
对延迟敏感（编排过程需10-60秒）

geepers-orchestrate多智能体编排

geepers-orchestrate

Dreamer Orchestrate

Authentication