Multi-LLM orchestration for OpenClaw with fan-out, pipeline, and consensus patterns. Dispatches tasks across 40+ models using AAHP v3 inspired handoffs.
---
name: openclaw-model-orchestrator
description: Multi-LLM orchestration for OpenClaw with fan-out, pipeline, and consensus patterns. Dispatches tasks across 40+ models using AAHP v3 inspired handoffs.
---
# OpenClaw Model Orchestrator
Dispatch tasks across multiple LLMs from chat. Uses AAHP v3 structured handoffs for minimal token overhead.
## Orchestration Modes
### Fan-Out
Split a task into parallel subtasks, each executed by a different model.
A planner model decomposes the task, workers execute in parallel, a reviewer merges results.
```
/orchestrate --mode fan-out --task "Build a REST API with auth" --planner copilot-opus --workers copilot52c,grokfast --reviewer copilot-sonnet46
```
### Pipeline
Chain models sequentially. Each model refines the previous model's output.
Ideal for plan -> implement -> review -> polish workflows.
```
/orchestrate --mode pipeline --task "Design and implement a caching layer" --planner copilot-opus --workers copilot52c,copilot-sonnet46 --reviewer copilot-opus
```
### Consensus
Send the same question to multiple models, then synthesize the best answer.
Identifies agreement, disagreement, and unique insights across models.
```
/orchestrate --mode consensus --task "What are the security risks of this API design?" --workers copilot-opus,gemini25,sonnet --reviewer copilot-opus
```
## Smart Recommendations
The orchestrator auto-classifies tasks and recommends optimal model combinations:
```
/orchestrate recommend "Build a REST API with JWT auth"
```
Returns: task classification, recommended planner/workers/reviewer, reasoning, and a ready-to-run command.
Use `help` as any flag value for context-aware recommendations:
```
/orchestrate --task "Audit security" --planner help
```
## Task Profiles
Pre-configured model combinations optimized for common task types:
| Profile | Planner | Workers | Reviewer | Use Case |
|---------|---------|---------|----------|----------|
| coding | copilot-opus | copilot52c, grokfast | copilot-sonnet46 | Feature development |
| research | gemini25 | gemini-flash, copilot-flash | copilot-opus | Analysis, investigation |
| security | copilot-opus | copilot-sonnet46, gemini25 | sonnet | Security audits |
| review | copilot-opus | copilot-sonnet46, copilot-sonnet | copilot-opus | Code/design review |
| bulk | haiku | copilot-flash, gemini25-flash, gpt5mini | haiku | Mass operations |
## AAHP v3 Integration
All model-to-model communication uses structured AAHP v3 handoff objects instead of raw chat history. This achieves up to 98% token reduction compared to naive context passing. Each handoff contains:
- Task context (only relevant information)
- Routing metadata (source/target model, mode)
- Differential state (only what changed)
- Constraints (output format, scope limits)
## Commands
| Command | Description |
|---------|-------------|
| `/orchestrate help` | Show help and available modes |
| `/orchestrate models` | List all available models with aliases |
| `/orchestrate recommend "task"` | Get model recommendations for a task |
| `/orchestrate --task "..." [flags]` | Execute orchestration |
## Configuration
In `openclaw.plugin.json`:
```json
{
"config": {
"defaultPlanner": "copilot-opus",
"defaultReviewer": "copilot-sonnet46",
"defaultWorkers": ["copilot52c", "grokfast", "copilot51"],
"maxConcurrent": 4,
"taskProfiles": { ... }
}
}
```
don't have the plugin yet? install it then click "run inline in claude" again.