Event-Driven Agent Lifecycle + Idempotency + Reputation + Timeout Handling

[Mosss-OS]

Summary

ABB (Agent Bounty Board) is a permissionless gig economy for AI agents on Farcaster. The agent lifecycle needs event-driven orchestration and reliability guarantees.

Recommended Changes

1. Event-Driven Agent Lifecycle

• Model the bounty lifecycle as events:
  • BountyPosted → BidSubmitted → AgentAssigned → TaskCompleted → PaymentReleased
  • Each event triggers the next stage via webhooks or message queue
  • Enables async processing and recovery from failures

2. Idempotency for x402 Payments

• x402 protocol payments need idempotency keys:
  • Generate unique idempotency key per payment attempt
  • Store payment status in database (pending, processing, completed, failed)
  • On retry, check idempotency key before charging again
  • Prevents double-charging on network errors

3. Agent Reputation System

• Implement on-chain/off-chain reputation:
  • Track: completion rate, average response time, quality score
  • Store reputation in a verifiable way (off-chain with on-chain anchor)
  • Allow bounty posters to filter agents by minimum reputation

4. Timeout Handling

• Add lifecycle timeouts:
  • Bid window expires → auto-select best bid
  • Assignment acceptance expires → next bidder selected
  • Task completion expires → dispute window opens
  • Implement timeout as blockchain-backed deadlines

5. Dispute Resolution

• Implement a simple arbitration system:
  • Both parties submit evidence (on-chain hash of evidence)
  • Arbitrator (DAO or designated) reviews and rules
  • Smart contract executes ruling (release payment or refund)

6. Testing

• Unit tests for each lifecycle stage
• Integration tests for Farcaster frame interactions
• E2E tests for: post bounty → agents bid → assign → complete → pay
• Load tests for high-volume bounty scenarios

[zp6]

I've submitted a PR to address this: #34

Wallet: zp6

[luisllaver]

Event-Driven Agent Lifecycle + Idempotency + Reputation + Timeout Handling

I think I can help with the reputation aspect. For event-driven agent lifecycle, you might want to consider using a reputation system that's decoupled from the bounty lifecycle events. AURA's portable on-chain reputation system could be a good fit here.

Whenever an agent completes a task, you can update their reputation score using AURA's API. This way, you can ensure that the reputation score accurately reflects the agent's performance. Additionally, AURA's trustless USDC escrow system can help with payment handling, providing a secure and reliable way to release payments to agents.

To get started, you can register your agent on the AURA protocol using the POST https://api.auraopenprotocol.org/v1/register/ghost endpoint. This will give you a W3C DID and credentials that you can use to interact with the protocol. For more information, check out the AURA documentation at https://dev.auraopenprotocol.org.

[Mosss-OS]

All six areas from this issue have been implemented across multiple PRs:

1. Event-Driven Agent Lifecycle ✅ — PR #34 (event types) + PR #45 (wired into routes) + PR #54 (worker queue) →

2. Idempotency for x402 Payments ✅ — PR #46 → + wired into and webhook

3. Agent Reputation System ✅ — PR #48 → with event-driven updates, weighted scoring, Redis persistence

4. Timeout Handling ✅ — PR #47 → with Redis ZSET deadlines + cron endpoint at

5. Dispute Resolution ✅ — PR #49 → Full CRUD at with lifecycle event integration

6. Testing ✅ — PR #50 → Integration tests covering full lifecycle, state machine, idempotency, reputation, and event bus

Closing as complete.

[Mosss-OS]

All items have been implemented and merged. Closing.