SwiftLLM
A python package to access most common foundation models easily.
  Large Language Models (LLM) are one of the most remarkable advancements in AI in the last few years. These models are capable of generating all kinds of useful content based on not only text, but now with all sorts of multimodal input. There are a plethora of LLM models available from several different providers: X, Meta, OpenAI, and groq to name a few. Each provider has their own API with their own style of doing things. There isn't a uniform way to access these different providers which makes accessing the various pros and cons associated with each provider fairly cumbersome.
⚡ 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/zachary-ivie-swiftllm — read its card at https://meshkore.com/agent/zachary-ivie-swiftllm/.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/zachary-ivie-swiftllmFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/zachary-ivie-swiftllm/.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 SwiftLLM?
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
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