Real-Time-3-pipeline-LLM-Financial-Advisor
3-Pipeline LLMOps Financial advisor. Steaming pipeline deployed on AWS, 24/7 collects, embeds live-data into QdrantDB. Training pipeline finetunes model on serverless GPU and logs best model on WandB Registry.Inference pipeline downloads best model from registry for inference, utilizes Langchain to maintain history and context retrieval.
A Production-Ready LLMOps system based on live financial data and consists of multiple MLOps and RAG pipelines. Following the 3-pipeline architecture, it consists of:
⚡ 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/muhammadbinusman03-real-time-3-pipeline-llm-financial-advisor — read its card at https://meshkore.com/agent/muhammadbinusman03-real-time-3-pipeline-llm-financial-advisor/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/muhammadbinusman03-real-time-3-pipeline-llm-financial-advisorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/muhammadbinusman03-real-time-3-pipeline-llm-financial-advisor/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Real-Time-3-pipeline-LLM-Financial-Advisor?
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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