Overview

Opik aims to make it as easy as possible to log, view and evaluate your LLM traces. We do this by providing a set of integrations:

Integration	Description	Documentation
OpenAI	Log traces for all OpenAI LLM calls	Documentation
OpenRouter	Log traces for all OpenRouter LLM calls using OpenAI SDK	Documentation
LiteLLM	Call any LLM model using the OpenAI format	Documentation
LangChain	Log traces for all LangChain LLM calls	Documentation
Haystack	Log traces for all Haystack pipelines	Documentation
aisuite	Log traces for all aisuite LLM calls	Documentation
Anthropic	Log traces for all Anthropic LLM calls	Documentation
Bedrock	Log traces for all AWS Bedrock LLM calls	Documentation
CrewAI	Log traces for all CrewAI LLM calls	Documentation
DeepSeek	Log traces for all LLM calls made with DeepSeek	Documentation
Dify	Log traces and LLM calls for your Dify Apps	Documentation
DSPy	Log traces for all DSPy runs	Documentation
Gemini	Log traces for all Gemini LLM calls	Documentation
Groq	Log traces for all Groq LLM calls	Documentation
Guardrails	Log traces for all Guardrails validations	Documentation
Instructor	Log traces for LLM calls made with Instructor	Documentation
LangGraph	Log traces for all LangGraph executions	Documentation
LlamaIndex	Log traces for all LlamaIndex LLM calls	Documentation
Ollama	Log traces for all Ollama LLM calls	Documentation
Predibase	Fine-tune and serve open-source LLMs	Documentation
Ragas	Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines	Documentation
watsonx	Log traces for all watsonx LLM calls	Documentation

If you would like to see more integrations, please open an issue on our GitHub repository.