llmfast
It's a Python LLM package
llmfast is your go-to Python library for simplifying the development of Large Language Model (LLM) applications. With just a few lines of code, you can harness the power of LLMs, saving you time and reducing complexity. Our library offers effortless integration, minimal coding requirements, and full customization to meet your unique needs. It's designed for optimized performance, ensuring smooth application execution, even with extensive language model usage. Explore our comprehensive documentation and examples to kickstart your LLM application development journey with ease.
⚡ 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/abdul-jaweed-llmfast — read its card at https://meshkore.com/agent/abdul-jaweed-llmfast/.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/abdul-jaweed-llmfastFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/abdul-jaweed-llmfast/.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 llmfast?
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.
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