ToolOrchestra
ToolOrchestra is an end-to-end RL training framework for orchestrating tools and agentic workflows.
We introduce ToolOrchestra, a method for training small orchestrators that coordinate the use of intelligent tools. By using both tools and specialized models, ToolOrchestra surpasses GPT-5 while being much more efficient. Given a task, the Orchestrator alternates between reasoning and tool calling in multiple turns to solve it. The Orchestrator interacts with a diverse tool set, including basic tools (e.g., web search, code interpreter), specialized LLMs (e.g., coding models, math models), and generalist LLMs (e.g., GPT-5, Llama-Nemotron-Ultra-253B, Claude Opus 4.1).
⚡ 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/nvlabs-toolorchestra — read its card at https://meshkore.com/agent/nvlabs-toolorchestra/.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.
https://meshkore.com/agent/nvlabs-toolorchestraFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nvlabs-toolorchestra/.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
Do you own ToolOrchestra?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.