For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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DocumentationIntegrationsBuilding Self-Improving AgentsSelf-hosting OpikSDK & API reference
DocumentationIntegrationsBuilding Self-Improving AgentsSelf-hosting OpikSDK & API reference
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Getting Started

Changelog

July 4, 2025
July 4, 2025
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June 20, 2025

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🛠 Agent Optimizer 1.0 released!

The Opik Agent Optimizer now supports full agentic systems and not just single prompts.

With support for LangGraph, Google ADK, PydanticAI, and more, this release brings a simplified API, model customization for evaluation, and standardized interfaces to streamline optimization workflows. Learn more in the docs.

🧵 Thread-level improvements

Added Thread-Level Feedback, Tags & Comments: You can now add expert feedback scores directly at the thread level, enabling SMEs to review full agent conversations, flag risks, and collaborate with dev teams more effectively. Added support for thread-level tags and comments to streamline workflows and improve context sharing.

🖥️ UX improvements

  • We’ve redesigned the Opik Home Page to deliver a cleaner, more intuitive first-use experience, with a focused value proposition, direct access to key metrics, and a polished look. The demo data has also been upgraded to showcase Opik’s capabilities more effectively for new users. Additionally, we’ve added inter-project comparison capabilities for metrics and cost control, allowing you to benchmark and monitor performance and expenses across multiple projects.

  • Improved Error Visualization: Enhanced how span-level errors are surfaced across the project. Errors now bubble up to the project view, with quick-access shortcuts to detailed error logs and variation stats for better debugging and error tracking.

  • Improved Sidebar Hotkeys: Updated sidebar hotkeys for more efficient keyboard navigation between items and detail views.

🔌 SDK, integrations and docs

  • Added Langchain support in metric classes, allowing use of Langchain as a model proxy alongside LiteLLM for flexible LLM judge customization.
  • Added support for the Gemini 2.5 model family.
  • Updated pretty mode to support Dify and LangGraph + OpenAI responses.
  • Added the OpenAI agents integration cookbook (link).
  • Added a cookbook on how to import Huggingface Datasets to Opik

👉 See full commit log on GitHub

Releases: 1.7.37, 1.7.38, 1.7.39, 1.7.40, 1.7.41, 1.7.42