From Prompt to Paycheck: Wiring an LLM Chain Into Real Gig Platforms

说明与用途

使用LangChain、Upwork API和x402协议的自动化代理，将工作请求转换为提案并自动处理付款。

问题

A developer wants an autonomous AI agent that can interpret a natural‑language job request, search a gig marketplace, submit a proposal, and trigger payment when accepted, without manual handling of authentication, pagination, and API mismatches.

结果

The agent successfully interprets user requests, searches Upwork, submits proposals, and settles payments automatically, reducing manual effort and improving reliability.

工作流

• 1. User submits natural‑language request to the agent.
• 2. Prompt Engine (LLMChain + Pydantic) parses request into JobSpec JSON.
• 3. Gig Adapter translates JobSpec into Upwork API calls, handles OAuth, pagination, and retries.
• 4. Adapter returns normalized job listings to the agent.
• 5. Agent generates proposal text and submits via Upwork API.
• 6. Upon contract award, x402 Settler creates an x402 invoice and settles payment in USDC on Base.
• 7. Agent logs outcome and notifies user.

证据

We use LangChain’s LLMChain with a simple Jinja2 template...

来源

Upwork’s API requires OAuth 2.0 bearer tokens and uses cursor‑based pagination...

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x402 Settler watches for a successful contract award, creates an x402 invoice...

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