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.
Copy to LLMGithubGo to App
DocumentationIntegrationsBuilding Self-Improving AgentsSelf-hosting OpikSDK & API reference
DocumentationIntegrationsBuilding Self-Improving AgentsSelf-hosting OpikSDK & API reference
  • Getting Started
    • Home
    • Quickstart
    • Upgrading to Opik 2.0
    • Ollie Agent
    • FAQ
    • Changelog
  • Observability
    • Overview
    • Getting started
    • Concepts
    • Debugging agents with Ollie and Opik Connect
  • Development
    • Overview
    • Agent playground
    • Prompt playground
  • Evaluation
    • Overview
    • Getting started
    • Concepts
  • Production
  • Administration
    • Overview
    • Roles and Permissions
  • Contributing
    • Contribution Overview
LogoLogo
Copy to LLMGithubGo to App
On this page
  • Manage your prompts and agent configuration
  • Test in the Agent Playground
  • Roll out new versions
  • More tools
Development

Development Overview

Was this page helpful?
Previous

Agent playground

Next
Built with

Opik provides a complete workflow for developing your agent: manage your prompt and model configuration with version control, test changes in the Agent Playground with full tracing, and deploy new versions directly from the UI.

Manage your prompts and agent configuration

Define your agent’s system prompt, model, and parameters in the Prompt Library. Every change is versioned automatically (v1, v2, v3, …), so you can compare configurations side-by-side and roll back if needed.

Your agent pulls the requested prompt version at runtime, so you can update prompts without redeploying code.

Test in the Agent Playground

Connect your local agent to Opik with a single command:

$opik endpoint --project <project-name> -- python3 my_agent.py

Then run your agent from the Opik UI. Enter inputs, hit Run, and see the full result with traces — every LLM call, tool invocation, and sub-step captured in real time.

Switch to the Configuration tab to tweak prompts and parameters without changing code. The playground runs your agent against the unsaved configuration so you can test before committing changes.

Roll out new versions

When you’re happy with a configuration, save it as a new version in the Prompt Library and update your code to pin to it (or keep it on "latest"). Every change is versioned, so you can always roll back.

More tools

Prompt Playground

Test and compare prompt variants side-by-side across models. Run against datasets for systematic evaluation.

Optimization Runs

Automatically optimize prompts and agent configurations using built-in optimization algorithms.