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📚Complete Guide

Agenta Tutorial: Get Started in 5 Minutes [2026]

Master Agenta with our step-by-step tutorial, detailed feature walkthrough, and expert tips.

Get Started with Agenta →Full Review ↗
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Getting Started with Agenta

1

Sign up for free at cloud.agenta.ai or clone the GitHub repository for self

2

hosted deployment Create your first application by connecting to your preferred LLM provider (OpenAI, Anthropic, etc.) Import existing prompts or create new ones using the interactive playground with side

3

side comparison Build evaluation test sets from production data, CSV uploads, or playground experiments Deploy prompts to production with version control and start monitoring with observability tools

💡 Quick Start: Follow these 3 steps in order to get up and running with Agenta quickly.

🔍 Agenta Features Deep Dive

Explore the key features that make Agenta powerful for enterprise agents workflows.

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❓ Frequently Asked Questions

Is Agenta fully open-source, and can I self-host it?

Yes. Agenta's core platform is open-source and can be self-hosted on your own infrastructure, which is common for teams with strict data-residency or compliance requirements. A managed cloud version is also offered, and enterprise tiers add private deployment, SSO, and advanced security controls.

How does Agenta differ from Langfuse or Helicone?

Langfuse and Helicone focus primarily on tracing, analytics, and prompt management, while Agenta bundles prompt management, structured evaluations, and observability into one workflow. Agenta also emphasizes non-technical collaboration in the playground, which is less central in purely developer-focused tools.

Which LLM providers and frameworks does Agenta support?

Agenta is model- and framework-agnostic. It works with OpenAI, Anthropic, Google, Mistral, Cohere, and self-hosted open-source models, and integrates with LangChain, LlamaIndex, and LiteLLM. Its tracing is built on OpenTelemetry, so it plugs into standard observability pipelines.

What evaluation methods does Agenta support?

It supports automated evaluators (exact match, similarity, regex, JSON validation, RAG faithfulness), LLM-as-a-judge evaluations, and human annotation workflows. Teams can run batch evaluations across multiple prompt variants and models using shared test sets and view results in comparison dashboards.

Do non-engineers need to write code to use Agenta?

No. Product managers, domain experts, and QA can edit prompts, run test cases, and review outputs through the web UI. Engineers typically wire the application up with Agenta's SDK once, after which prompt changes can be deployed without touching application code.

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Ready to Get Started?

Now that you know how to use Agenta, it's time to put this knowledge into practice.

✅

Try It Out

Sign up and follow the tutorial steps

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Start Using Agenta Today

Follow our tutorial and master this powerful enterprise agents tool in minutes.

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Tutorial updated March 2026