# Development Overview

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](https://www.comet.com/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.

:::frame
<img src="../img/apps/opik-documentation/documentation/fern/img/v2/development/agent_configuration.png" alt="">
:::

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:

```bash
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.

:::frame
<img src="../img/apps/opik-documentation/documentation/fern/img/v2/development/agent_sandbox.png" alt="">
:::

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

::::card-grid
:::card{title="Prompt Playground" href="/development/prompt-playground"}
Test and compare prompt variants side-by-side across models. Run against datasets for systematic evaluation.
:::

:::card{title="Optimization Runs" href="/development/optimization-runs/overview"}
Automatically optimize prompts and agent configurations using built-in optimization algorithms.
:::
::::

## Related pages

- [.NET](./net-index.md)
- [Administration](./administration-index.md)
- [AI Coding Assistants](./ai-coding-assistants-index.md)
- [Changelog](../changelog.md)
- [Configuration](./configuration-index.md)
- [Contributing](./contributing-index.md)
- [Development](./development-index.md)
- [Evaluation](./evaluation-index.md)
- [Getting Started](./getting-started-index.md)
- [Guardrails](./guardrails-index.md)

# Agent Instructions

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