opik: Debug and Scale LLM Apps with 22k+ GitHub Stars
Use opik to debug and test your AI-powered applications.
"A founder named Alex uses opik to debug a LLM-powered chatbot. They set up opik to automatically track errors and discrepancies in responses. After a few hours, opik sends them an alert when it detects a pattern of misclassifications. Alex investigates and refines the model, greatly improving its accuracy."
- •When you need to identify and fix issues in your LLM application's workflow
- •When you want to evaluate and compare the performance of different LLM models
- •When you need to monitor and analyze the performance of your RAG systems and agentic workflows
opik.trace(my_llm_model, input_data='example_input', output_data='example_output')
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/opik && curl -fsSL https://workflowstacks.com/api/skills/opik/claude-skill -o ~/.claude/skills/opik/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Opik: Debug and Scale LLM Apps with 22k+ GitHub Stars is a very large Python project (~754k lines across 7930 code files, plus 1676 test files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3.env.templateThe API keys and settings you must provide
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/opik && curl -fsSL https://workflowstacks.com/api/skills/opik/claude-skill -o ~/.claude/skills/opik/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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