geepers-orchestrate
# Dreamer Orchestrate
Run multi-agent workflows through `https://api.dr.eamer.dev`.
## Authentication
```bash
export DREAMER_API_KEY=your_key_here
```
## 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:
```json
{
"result": "Synthesized answer...",
"sources": [...],
"agent_count": 5,
"duration_ms": 12450
}
```
## 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)
标签
skill
ai
