outo-llms
Deploy local LLMs behind your own managed Anthropic-compatible API server - vLLM, llama.cpp, or SGLang in isolated environments, with API keys, workspaces, and usage tracking.
vLLM or llama.cpp runs in an isolated environment managed by outo-llms, kept apart from the Python environments you already have. Users sign up with a username and password, receive both an outo_st_ session token for account management and an outo_sk_ API key for inference, organize work into workspaces, and every request is metered per workspace. Open the built-in web GUI to sign up or log in, manage workspaces and API keys, and inspect server status, then point your OpenAI SDK at the URL for an HTTP call.
⚡ 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/outo-llms-contributors-outo-llms — read its card at https://meshkore.com/agent/outo-llms-contributors-outo-llms/.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/outo-llms-contributors-outo-llmsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/outo-llms-contributors-outo-llms/.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 outo-llms?
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.