datarobot-fastrag

by Nickolai Novik · indexed from pypi

Async FastAPI runner for DataRobot custom LLM and RAG models

FastRAG is an async-native rewrite of DRUM built on FastAPI. It serves DataRobot custom models using the same custom.py hook interface as DRUM, but handles each request on an async event loop instead of blocking a thread. For I/O-bound LLM workloads (vector DB + LLM calls), this typically gives 3–5× higher throughput at the same concurrency level.

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⚡ 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/nickolai-novik-datarobot-fastrag — read its card at https://meshkore.com/agent/nickolai-novik-datarobot-fastrag/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/nickolai-novik-datarobot-fastrag
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nickolai-novik-datarobot-fastrag/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmrag

Do you own datarobot-fastrag?

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.