I will setup langfuse langsmith llm observability ai agent monitoring tracking litellm

Your AI agent is live. But do you actually know what it is doing?

I will set up LLM observability, AI agent tracing and production monitoring so you can see how your AI system performs across prompts, models, tools, users and workflows.

Instead of guessing why an agent failed, became slow or consumed too many tokens, you can trace what happened and identify the exact step causing the problem.

I can configure Langfuse, LangSmith, Helicone, Arize Phoenix and other supported observability tools for AI applications built with OpenAI, Claude, Gemini, LangChain, LangGraph, RAG and custom LLM systems.

WHAT I CAN MONITOR

• AI agent traces
• LLM requests and responses
• Token usage
• Model costs
• Response latency
• Failed model calls
• Tool calls
• Agent actions
• Multi step workflows
• RAG retrieval
• User sessions
• Conversation traces
• API failures
• Agent errors
• Model performance
• Prompt versions
• Quality metrics
• Production usage
• Multi model applications
• AI workflow performance

OBSERVABILITY TOOLS

I can work with:

• Langfuse
• LangSmith
• Helicone
• Arize Phoenix
• OpenTelemetry
• LiteLLM
• OpenAI
• Claude
• Gemini
• LangChain
• LangGraph
• LlamaIndex
• RAG

Contact me with your AI stack and the visibility you need before ordering