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💡 Pro tip: Start with the free tier to test if Agenta fits your workflow before upgrading to a paid plan.
Best for: Individual developers and small experiments
per month
Best for: Small teams shipping LLM features to production
per month
Best for: Growing companies with compliance and scale needs
This guide does not establish that Agenta has an active coupon, education discount, or seasonal promotion. Confirm current offers on the vendor's website before paying.
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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.
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.
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.
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.
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.
Start with the free tier and upgrade when you need more features
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