I will add langfuse observability and tracing to your llm application

H
hilalalpak
H
hilalalpak
Hilal A.

About this gig

I will add Langfuse observability and structured tracing to your Python-based LLM, RAG or AI agent application.


This service helps you understand:


  • Which model handled each request
  • What prompts and responses were produced
  • How long each operation took
  • Which agent, chain or tool failed
  • How workflow steps are connected
  • Where duplicate or missing traces occur


Depending on the package, I can instrument LLM calls, LangChain or LangGraph workflows, agent and tool spans, sessions, metadata, trace hierarchies and OpenTelemetry-based services.


I can also review existing integrations where traces are duplicated, incorrectly nested, missing model information or disconnected across services.


Supported technologies include Python, LangChain, LangGraph, LiteLLM, FastAPI, Docker and OpenTelemetry.


The client must provide source code or a reproducible test environment. Langfuse hosting, cloud fees and third-party subscriptions are not included.


Please contact me before ordering and briefly describe your architecture and current observability problem.

Get to know Hilal A.

Hilal A.

AI Engineer for RAG AI Agents and MLOps

  • FromTurkey
  • Member sinceNov 2024
  • Avg. response time1 hour
  • Languages

    English, Turkish
Hi, I'm Hilal, an AI/ML Engineer specializing in RAG, AI agents, LLM applications and MLOps. I build reliable AI systems with Python, FastAPI, LangGraph, LangChain, Qdrant, Docker and Kubernetes. I can help with RAG pipelines, multi-agent workflows, LLM integrations, evaluation, observability, API development, deployment and data pipeline optimization. I focus on maintainable code, clear documentation and practical solutions that work beyond the prototype stage. Message me to discuss your project.

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