Monitoring - Openlayer

The examples below show how Openlayer’s monitoring mode can be used in isolation. For examples that span development and monitoring modes, check out the Templates.

Example	Stack
OpenAI Chat Completions - Python Monitoring OpenAI chat completion calls in Python.	Python OpenAI
OpenAI Chat Completions - TypeScript Monitoring OpenAI chat completion calls in TypeScript.	TypeScript OpenAI
Tracing a RAG system Tracing every step of a RAG pipeline.	Python OpenAI
Anthropic Messages - Python Monitoring Anthropic message creation calls in Python.	Python Anthropic
Azure OpenAI Chat Completions - Python Monitoring Azure OpenAI chat completion calls in Python.	Python Azure OpenAI
Mistral AI Chat Completions - Python Monitoring Mistral AI chat completion and streaming calls in Python.	Python Mistral AI
LLMs with LangChain - Python Monitoring LLMs built with LangChain using a callback handler.	Python LangChain
LLMs with LangChain - TypeScript Streaming data from LangChain uses to Openlayer with TypeScript.	TypeScript LangChain
Vertex AI via LangChain - Python Monitoring Vertex AI calls via LangChain using a callback handler.	Python Vertex AI LangChain
Ollama via LangChain - Python Monitoring Ollama calls via LangChain using a callback handler.	Python Ollama LangChain
Groq Chat Completions - Python Monitoring Groq LLM chat completion calls in Python.	Python Groq
OpenAI Assistants API - Python Monitoring OpenAI Assistant API runs in Python.	Python OpenAI
OpenAI Assistants API - TypeScript Monitoring OpenAI Assistant API runs in TypeScript.	TypeScript OpenAI
Manually streaming data for monitoring - Python Monitoring a tabular classification model in production.	Python Traditional ML

⌘I