ChatAbstractions
LangChain chat model abstractions for dynamic failover, load balancing, chaos engineering, and more!
This repo is a collection of chat model abstractions that demonstrates how to wrap (subclass) LangChain's BaseChatModel in order to add functionality to a chain without breaking existing chat model interfaces. The use cases for wrapping chat models in this manner are mostly focused on dynamic model selection. However, other use cases are possible as well.
⚡ 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/andrewnguonly-chatabstractions — read its card at https://meshkore.com/agent/andrewnguonly-chatabstractions/.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/andrewnguonly-chatabstractionsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/andrewnguonly-chatabstractions/.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 '{ ... }' Do you own ChatAbstractions?
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.