# Launch Week #2 Day 5: Jinja2 Prompt Templates

Agenta prompt playground now supports Jinja2 prompt templates. Create dynamic LLM prompts with conditional logic. Prompt management with Jinja2 templating support. 

Canonical HTML page: <https://agenta.ai/blog/launch-week-2-day-5-jinja2-prompt-templates>

- Category: Article
- Published: Nov 14, 2025
- Author: Mahmoud Mabrouk
- Tags: Product Update

Hello everyone, and welcome to the final day of our launch week!

Before we get to today's announcement, here's a quick recap of what we launched this week:

- [**Day 1**](/blog/launch-week-2-day-1): Evaluation Dashboard for comprehensive evaluation insights
- [**Day 2**](/blog/launch-week-2-day-2-online-evaluation): Online Evaluation for production monitoring
- [**Day 3**](/blog/launch-week-2-day-3-evaluation-sdk): Evaluation SDK for programmatic evaluation workflows
- [**Day 4**](/blog/launch-week-2-day-4-open-sourcing-evaluation): We open sourced all core evaluation functionality in Agenta

## Today: Jinja2 Template Support in the Playground

We're excited to announce a powerful update to the [Agenta prompt playground](https://agenta.ai/docs/prompt-engineering/playground/using-playground). You can now use [**Jinja2 templating**](https://agenta.ai/docs/prompt-engineering/playground/using-playground#switching-template-formats) in your prompts.

This means you can add sophisticated logic directly into your prompt templates. Use conditional statements, apply filters to variables, and transform data on the fly.

### Example

Here's a prompt template that uses [Jinja2](https://jinja.palletsprojects.com/en/stable/) to adapt based on user expertise level:

```markdown
You are {% if expertise_level == "beginner" %}a friendly teacher who explains concepts in simple terms{% else %}a technical expert providing detailed analysis{% endif %}.

Explain {{ topic }} {% if include_examples %}with practical examples{% endif %}.

{% if False %} {{expertise_level}} {{include_examples}} {% endif %}
```

**Note**: The `{% if False %}` block makes variables available to the playground without including them in the final prompt.

### Using Jinja2 Prompts

When you fetch a Jinja2 prompt via the SDK, you get the template format included in the configuration:

```python
{
  "prompt": {
    "messages": [
      {
        "role": "user",
        "content": "You are {% if expertise_level == \"beginner\" %}a friendly teacher...{% endif %}"
      }
    ],
    "llm_config": {
      "model": "gpt-4",
      "temperature": 0.7
    },
    "template_format": "jinja2"
  }
}
```

The `template_format` field tells Agenta how to process your variables. This works both when invoking prompts through Agenta as an [LLM gateway](https://agenta.ai/docs/prompt-engineering/integrating-prompts/proxy-calls) and when [fetching prompts programmatically via the SDK](https://agenta.ai/docs/prompt-engineering/integrating-prompts/fetch-prompt-programatically).

That wraps up our [launch week](/launch-week-2)! We hope you explore these updates and find them useful. If you try them out, we'd love your feedback.

You can check our roadmap and vote on upcoming features at [https://docs.agenta.ai/roadmap](https://docs.agenta.ai/roadmap). You can also [request new features](https://github.com/Agenta-AI/agenta/discussions/new?category=ideas) directly on GitHub.

**One last thing**: We're launching on Product Hunt on Friday, November 28. We'd really appreciate your support! You can follow [our page](https://www.producthunt.com/products/agenta?launch=agenta)now at Product Hunt.

Thanks, and happy prompting!

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