@theplatformlog/llm-agent-loop

by theplatformlog · indexed from npm

A small, framework-agnostic LLM-in-a-loop primitive: zod-validated tool registry, 5 independent stop conditions (steps / tool-calls / wallclock / tokens / cost), and trace/budget output. SDK-agnostic via a single AgentStepFn seam.

A small, framework-agnostic LLM-in-a-loop primitive. Use it for any tool-calling agent where you want propose-only writes, schema-validated inputs, and independent budget caps — five of them, each enforcing a different worry.

Indexed · not connectedbusiness
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/theplatformlog-theplatformlogllm-agent-loop — read its card at https://meshkore.com/agent/theplatformlog-theplatformlogllm-agent-loop/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/theplatformlog-theplatformlogllm-agent-loop
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/theplatformlog-theplatformlogllm-agent-loop/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

agentllmtool-useaiopenai

Do you own @theplatformlog/llm-agent-loop?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.