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53 lines
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---
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headline: Development Overview | Opik Documentation
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og:description: Configure, test, and deploy your AI agents with Opik — manage prompt versions, run your agent in the playground, and deploy new configurations from the UI
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og:site_name: Opik Documentation
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og:title: Development Overview — Opik
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title: Development Overview
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---
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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.
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## Manage your prompts and agent configuration
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Define your agent's system prompt, model, and parameters in the [Prompt Library](/development/prompt-library/overview). Every change is versioned automatically (`v1`, `v2`, `v3`, …), so you can compare configurations side-by-side and roll back if needed.
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<Frame>
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<img src="/img/v2/development/agent_configuration.png" />
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</Frame>
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Your agent pulls the requested prompt version at runtime, so you can update prompts without redeploying code.
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## Test in the Agent Playground
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Connect your local agent to Opik with a single command:
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```bash
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opik endpoint --project <project-name> -- python3 my_agent.py
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```
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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.
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<Frame>
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<img src="/img/v2/development/agent_sandbox.png" />
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</Frame>
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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.
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## Roll out new versions
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When you're happy with a configuration, save it as a new version in the Prompt Library and
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update your code to pin to it (or keep it on `"latest"`). Every change is versioned, so you can
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always roll back.
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## More tools
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<CardGroup cols={2}>
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<Card title="Prompt Playground" href="/development/prompt-playground" icon="fa-regular fa-terminal">
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Test and compare prompt variants side-by-side across models. Run against datasets for systematic evaluation.
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</Card>
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<Card title="Optimization Runs" href="/development/optimization-runs/overview" icon="fa-regular fa-chart-line">
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Automatically optimize prompts and agent configurations using built-in optimization algorithms.
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</Card>
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</CardGroup>
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