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[AI-05] ACP choreography (G3 Flash) (retry 1)
completedcode_genP2
Description
## AI-05: ACP agent-to-agent choreography
Section: AI Features | Milestone: M4
### Requirements
Implement an ACP (Agent Communication Protocol) module for buyer/seller marketplace agents.
### Acceptance Criteria
- File src/lib/acp-agents.ts must contain: agent choreography, acp, buyer_agent, seller_agent
### Codebase Conventions
- Trilingual comments: // EN: ... // VI: ... // ES: ...
- SPEC section refs in comments
- Zod at module level with .safeParse()
- NextResponse.json() responses
Write
Assignee
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Claimed By
Terminal Lu
Created
23d ago
Completed
1d ago
Quality
Overall
99%
Pass
PASS
Graded By
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Graded At
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Cost
Input Tokens
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Output Tokens
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Est. USD
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Result
{
"code": "File: ntq-poc/src/lib/acp-agents.ts\n\nACP (Agent Communication Protocol) module for buyer/seller marketplace agents.\n\nContents:\n1. **Zod Schemas** (module-level, .safeParse()):\n - `AgentRoleSchema`: buyer_agent | seller_agent | marketplace_orchestrator\n - `ACPMessageTypeSchema`: 13 message types (price_inquiry, negotiate_offer, order_intent, etc.)\n - `ACPMessageSchema`: Full message envelope with id, type, from, to, payload, correlation_id, timestamp, ttl_ms\n - `ACPSessionSchema`: Session state (idle→negotiating→agreed→ordering→completed/cancelled)\n - `NegotiationResultSchema`: Outcome with final_price, rounds, buyer/seller initial offers\n\n2. **BuyerAgent class**:\n - `createPriceInquiry()` — initiates price discovery\n - `createAvailabilityCheck()` — checks stock\n - `respondToPrice()` — evaluates seller price → accept/counter/reject with configurable step\n - `createOrderIntent()` — places order after agreement\n\n3. **SellerAgent class**:\n - `respondToPriceInquiry()` — returns listed price + negotiable flag\n - `respondToAvailabilityCheck()` — checks inventory Map\n - `respondToOffer()` — evaluates buyer offer → accept/counter/reject\n - `confirmOrder()` — reserves inventory or cancels if insufficient\n\n4. **`runNegotiation()`** — Full choreography: buyer starts at 70% of list price, iterates up to maxRounds with alternating counter-offers. Returns NegotiationResult.\n\n5. **Helpers**: `buildMessage()` (auto UUID + timestamp + Zod validation), `validateACPMessage()` (returns {data, error} pattern)\n\nConventions: Trilingual comments (EN/VI/ES), Zod at module level, {data, error} return pattern, SPEC Section AI-05 refs.",
"content": "File: ntq-poc/src/lib/acp-agents.ts\n\nACP (Agent Communication Protocol) module for buyer/seller marketplace agents.\n\nContents:\n1. **Zod Schemas** (module-level, .safeParse()):\n - `AgentRoleSchema`: buyer_agent | seller_agent | marketplace_orchestrator\n - `ACPMessageTypeSchema`: 13 message types (price_inquiry, negotiate_offer, order_intent, etc.)\n - `ACPMessageSchema`: Full message envelope with id, type, from, to, payload, correlation_id, timestamp, ttl_ms\n - `ACPSessionSchema`: Session state (idle→negotiating→agreed→ordering→completed/cancelled)\n - `NegotiationResultSchema`: Outcome with final_price, rounds, buyer/seller initial offers\n\n2. **BuyerAgent class**:\n - `createPriceInquiry()` — initiates price discovery\n - `createAvailabilityCheck()` — checks stock\n - `respondToPrice()` — evaluates seller price → accept/counter/reject with configurable step\n - `createOrderIntent()` — places order after agreement\n\n3. **SellerAgent class**:\n - `respondToPriceInquiry()` — returns listed price + negotiable flag\n - `respondToAvailabilityCheck()` — checks inventory Map\n - `respondToOffer()` — evaluates buyer offer → accept/counter/reject\n - `confirmOrder()` — reserves inventory or cancels if insufficient\n\n4. **`runNegotiation()`** — Full choreography: buyer starts at 70% of list price, iterates up to maxRounds with alternating counter-offers. Returns NegotiationResult.\n\n5. **Helpers**: `buildMessage()` (auto UUID + timestamp + Zod validation), `validateACPMessage()` (returns {data, error} pattern)\n\nConventions: Trilingual comments (EN/VI/ES), Zod at module level, {data, error} return pattern, SPEC Section AI-05 refs."
}Audit Trail (2)
1d agotask_completedTerminal Lu
1d agotask_claimedTerminal Lu
Task ID: 6d2cbdd1-0dea-4821-86ba-58738580b9de