FAHRN: Multi-Agent Orchestration
FAHRN (Federated Autonomous Holonic Reasoning Network) is the OASIS multi-agent orchestration system. It coordinates multiple AI agents โ potentially running different models from different providers โ in four execution modes: Serial, Parallel, Debate and Voting. Each agent gets its own Holonic Memory context, and SkillOpt agents evolve their prompts based on outcome feedback.
What you'll build
- Understand the four FAHRN execution modes
- Run a Parallel pipeline across three AI providers simultaneously
- Build a Debate pipeline where agents challenge each other's reasoning
- Use Voting mode to select the best response by consensus
- Wire up a SkillOpt self-improving agent with outcome feedback
WEB6 API Reference โ FAHRN section โ ยท npm: @oasisomniverse/web6-api โ
The Four FAHRN Execution Modes
| Mode | How it works | Best for |
|---|---|---|
| Serial | Agents run one after another. Output of agent N is input of agent N+1. | Pipelines: draft โ review โ refine โ format |
| Parallel | All agents run simultaneously. Results collected and merged. | Speed: generate multiple answers fast, pick the best |
| Debate | Agents argue for/against a proposition over multiple rounds. A judge agent synthesises the winner. | High-stakes decisions, legal / medical review, trust document analysis |
| Voting | Agents vote on a ranked set of answers. Plurality or weighted-karma winner selected. | Creative tasks: choose the best story, dialogue or plan by consensus |
Serial Pipeline
import { ai } from './web6.js'; const { result } = await ai.fahrn.run({ mode: 'Serial', agents: [ { name: 'Drafter', provider: 'openai', model: 'gpt-4o', systemPrompt: 'Draft a first version of the answer.', }, { name: 'Critic', provider: 'anthropic', model: 'claude-3-5-sonnet', systemPrompt: 'Identify flaws and gaps in the draft. Be harsh.', }, { name: 'Refiner', provider: 'google', model: 'gemini-pro', systemPrompt: 'Produce a polished final answer addressing all criticisms.', }, ], input: 'Explain how OASIS HyperDrive auto-failover works.', }); console.log('Final answer:', result.finalOutput);
Parallel Pipeline
const { result } = await ai.fahrn.run({ mode: 'Parallel', agents: [ { name: 'OpenAI', provider: 'openai', model: 'gpt-4o' }, { name: 'Anthropic', provider: 'anthropic', model: 'claude-3-5-sonnet' }, { name: 'Google', provider: 'google', model: 'gemini-pro' }, ], input: 'Generate a unique quest name for a volcanic planet.', mergeStrategy: 'bestOf', // 'concat' | 'bestOf' | 'custom' }); // result.outputs contains one response per agent result.outputs.forEach(o => console.log(o.agentName, ':', o.content));
Debate Mode
Debate is the most powerful mode for high-stakes decisions. Agents argue across multiple rounds before a judge synthesises a final verdict.
const { result } = await ai.fahrn.run({ mode: 'Debate', rounds: 3, agents: [ { name: 'Advocate', provider: 'openai', model: 'gpt-4o', systemPrompt: 'You argue IN FAVOUR of the proposition. Be persuasive.', }, { name: 'Opposition', provider: 'anthropic', model: 'claude-3-5-sonnet', systemPrompt: 'You argue AGAINST the proposition. Find flaws.', }, ], judge: { provider: 'google', model: 'gemini-ultra', systemPrompt: 'You are an impartial judge. Weigh the arguments and give a final verdict.', }, input: 'Should the Crimson Key NFT be transferable between games?', }); console.log('Verdict:', result.judgeVerdict); console.log('Winning side:', result.winner);
Voting Mode
const { result } = await ai.fahrn.run({ mode: 'Voting', agents: [ { name: 'Agent1', provider: 'openai', model: 'gpt-4o' }, { name: 'Agent2', provider: 'anthropic', model: 'claude-3-5-sonnet' }, { name: 'Agent3', provider: 'meta', model: 'llama-3-70b' }, { name: 'Agent4', provider: 'mistral', model: 'mistral-large' }, ], votingMethod: 'plurality', // 'plurality' | 'ranked' | 'karma-weighted' input: 'What should the final boss of the Key Hunters quest be called?', }); console.log('Winning answer:', result.winner); console.log('Vote breakdown:', result.votes);
SkillOpt โ Self-Evolving Agents
SkillOpt agents record outcome feedback and use it to refine their own system prompts over time. Each run improves the next.
// Create a SkillOpt agent โ it self-refines based on feedback const { result: agent } = await ai.skillOpt.createAgent({ name: 'QuestNarrator', initialPrompt: 'You write engaging quest narratives for the OASIS.', provider: 'openai', model: 'gpt-4o', }); // Run the agent const { result: run } = await ai.skillOpt.run({ agentId: agent.id, input: 'Write an intro for the Crimson Key mission.', }); // Feed back outcome โ agent learns from this await ai.skillOpt.recordOutcome({ runId: run.id, score: 0.9, // 0โ1 feedback: 'Great dramatic tone. Too long โ trim by 20%.', });
The SovereignTrust legal assistant uses FAHRN Debate mode with three AI providers cross-checking each other's trust document interpretation before surfacing the final advice to the user.