A MINIMAL NODE.JS + OPENROUTER AGENT THAT ACTUALLY CALLS TOOLS
A dev.to walkthrough shows a tiny Node.js agent that uses OpenRouter to call a weather tool. This MVP demo builds a ChatGPT-style bot that fetches real-time we...
A dev.to walkthrough shows a tiny Node.js agent that uses OpenRouter to call a weather tool.
This MVP demo builds a ChatGPT-style bot that fetches real-time weather by wiring a single tool call through OpenRouter. It’s a small, readable baseline you can lift into a spike or POC. Read the tutorial: Building an MVP AI Weather Agent with Node.js and OpenRouter.
It’s not production-ready, but it exposes the seams you’ll need to harden: timeouts, retries, schema validation, auth, logging, and cost/latency controls.
Shows the absolute minimum to make agent tool calls work without a heavy framework.
Good reference for planning production guardrails around latency, errors, and cost.
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terminal
Run a spike replacing the weather tool with one internal API and measure latency, error modes, and token spend.
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terminal
Add retries, timeouts, and input/output schema checks to see how stability improves under load.
Legacy codebase integration strategies...
- 01.
Wrap an existing REST/GraphQL service as a tool and enforce idempotency, auth scoping, and observability before wider rollout.
- 02.
Log tool calls with correlation IDs and capture model/tool costs to avoid surprise spend.
Fresh architecture paradigms...
- 01.
Start with this skeleton to prototype agent actions, then graduate to queues and workers as tools proliferate.
- 02.
Define clear JSON schemas for tool I/O early to keep the boundary stable as models change.
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