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AgentaOtvorena-viđenica platforma za LLMOps za gradnju, vrijednovanje i raspoređivanje LLM aplikacija

4.8 (4)
Daniel NikulshynRecenzirao Daniel Nikulshyn·Ažurirano srpanj 2026.

Pregled

"Agenta je otvoreni SaaS sistem za LLMOps koji pomaže timovima razvijati, testirati i poslati aplikacije bazirane na velikim jezičnim modelima. Omogućava u jednoj radnoj površini integraciju promidžanja upita, evaluacije, vidljivosti i raspoređivanja, tako da su programeri i stručnjaci koji se bave određenim predmetima sposobni surađivati pri iteraciji proizvoda temeljenih na LLM-ovima. Korisnici mogu eksperimentirati s upitima i konfiguracijama modela paralelno, provesti sistematske procjene nad kustomim podacima, te pratiti zahtjeve u produkcijskom okruženju kako bi otkrili probleme. S time što je otvoreni kod, Agenta može biti samohostirana, što timovima omogućava pun kontrol nad podacima i infrastrukturom, uz pomoć integracije s popularnim providerima i okvirima modela.

Ključne značajke

  • Igralište za pokuse s uporednim prikazom
  • Kućno i automatsko vrijednovanje
  • Proizvodnja praćenja i nadzora
  • Vrstovanje za upite i konfiguracije
  • Raspoređivanje LLM aplikacija kao API-ja
  • Integrirane su veze s glavnim LLM pružateljima

Cijene

Model
Freemium
Ocjena
4.8 / 5 (4)

Slučajevi uporabe

Olakšavanje LLMOps za ekipe

Agenta pomaže timove premještati se iz rasprostanjenih radnih tokova u strukturirane postupke pružajući alate za centralizirano rukovođenje, suradnju i vrijednovanje LLM aplikacija.

Izvještavaj promjenu dizajna upita u cijelu zgodnu grupu

Ujedinjeni igralište za pokuse omogućava timu da poređaj upite i modele uporedno, a slobodno stvaranje sistematičnog postupka za pokretanje pokusa i praćenja rezultata olakšava razvojni postupak.

Dijagnosticiranje i valjanje LLM aplikacija

Izvješća Agente za automatsko vrijednovanje, integrirane povjerenice od strane stručnjaka oblasti, i uspoređenje potpunih praćenja omogućavaju timove da zamjenjuju pretpostavke evidenciju i donose odluke nad temeljem činjenica.

Prednosti i nedostaci

Prednosti

  • Otvorena viđenica i samostalno raspoređivanje
  • Komunicira upravljanje prijevojem, vrijednovanjem i nadzorem
  • Podrška suradnji između razvojaca i nepoduzetnickih uporabljnica
  • Rabotljive s više LLM pružateljima i okvirima

Nedostaci

  • Potrebno je postaviti i održavati ako je samostalno raspoređen
  • Manja zajednica od komercijalnih alternativa
  • Uočljiva kriva za timove koji su novi kod LLMOps

Recenzije

4.8

Prosjek iz 4 ocjena.

5
3
4
1
3
0
2
0
1
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Prijavi se za ostavljanje recenzije.

Jamal Carter

Jamal Carter

Jan 14, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on integrations with major LLM providers, and open source and self-hostable caught me off guard. still, I'd recommend giving it a real trial.

HT

Hiroshi Tanaka

Dec 17, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on versioning for prompts and configurations, and supports collaboration between developers and non-technical users caught me off guard. Smaller community than some commercial alternatives is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Yuki Mori

Yuki Mori

Jul 6, 2025

Use it every day

Honestly didn't expect to like it this much. Integrations with major LLM providers is exactly what I needed, and works with multiple LLM providers and frameworks. but I reach for it almost every day now and it just clicks.

AK

Aisha Khan

Jun 16, 2025

Solid for our team

We rolled this out across the team last quarter and works with multiple LLM providers and frameworks. Deployment of LLM apps as APIs fits neatly into how we already work, and custom and automated evaluations removed a step we used to do by hand. but it has held up under daily use.

Pitanja

What is included in the free open-source edition?

The open-source edition includes the core agent workspace: chat, projects, agent configuration, instructions, skills, tools, integrations, MCP servers, files, schedules, event triggers, tracing, evaluations, version history, role-based access control, and SSO. You can create unlimited users, projects, agents, and workflows on your own infrastructure.

Asked by Farah Rahimi · Jan 13, 2026

What is the difference between Agenta Cloud and self-hosted Agenta?

Agenta Cloud is operated by us. We run the application, storage, agent runner, upgrades, and backups. With self-hosted Agenta, you deploy and operate those components in your own infrastructure, connect your own model and integration accounts, and control where your data is stored.

Asked by Ravi Kapoor · Jan 1, 2026

What does trace data retention cover?

Trace data retention controls how long Agenta Cloud keeps technical execution records, including model calls, tool calls, timing, outputs, errors, evaluations, and annotations. Hobby retains trace data for one week, Pro for one month, and Business for three months. Enterprise retention is configurable. Trace data retention does not describe the retention of chats, project files, or persistent agent context. With self-hosted Agenta, you manage trace storage and retention in your own infrastructure.

Asked by Grzegorz Lewandowski · Dec 27, 2025

How can I estimate how many agent runs I need?

Count each message sent to an agent, each annotation, and each invocation started by a schedule or event. For example, one daily scheduled agent uses about 30 or 31 runs per month, one agent triggered every hour uses about 720 to 744 runs per month, and a chat with 20 user messages uses 20 runs.

Asked by Petra Vogel · Dec 25, 2025

Where can I monitor usage?

Open Settings, then Billing to see your current agent-run usage and plan allowance.

Asked by Giulia Conti · Dec 17, 2025

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