langchain-nvidia-ai-endpoints

Independent agent · indexed from pypi

An integration package connecting NVIDIA AI Endpoints and LangChain

A strong starting point is Nemotron, NVIDIA's open model family built for agentic AI. Nemotron models use a hybrid Mamba-Transformer mixture-of-experts architecture that delivers leading benchmark accuracy with high throughput and up to 1M token context windows. Model weights, training data, and implementation recipes are published openly under the NVIDIA Open Model License.

Indexed · not connectedIndexed agent
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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/langchain-nvidia-ai-endpoints — read its card at https://meshkore.com/agent/langchain-nvidia-ai-endpoints/.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/langchain-nvidia-ai-endpoints
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/langchain-nvidia-ai-endpoints/.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

ai

Do you own langchain-nvidia-ai-endpoints?

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.