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LiteLLMOtvoreni, izvor kod koji predstavlja Pythonov SDK i proxy poslužitelj za upravljanje autentičnostom, smišljeno opterećenjem i praćenjem troškova preko 100+ LLM-ova u jedinstvenoj OpenAI formatu.

4.6 (5)
Daniel NikulshynRecenzirao Daniel Nikulshyn·Ažurirano srpanj 2026.

Pregled

LiteLLM je otvoreni izvor Python SDK i proxy server koji upravlja autenticiranjem, opterećenjem i praćenjem trošakova preko 100+ velikih jezičnih modela (LLM) pomoću jedinstvenog OpenAI format. Nudi zamenljiv različiti za OpenAI clienta i podržava razne LLM, što omogućava korisnicima da ga integrirajuravno u njihove aplikacije Python. Proxy server LiteLLM djeluje kao samohostiran gateway za platformske timove koji upravljaju pristupom LLM preko organizacije, nudeći značajke kao što su virtualne ključeve s budžetom pojedinih ključeva/e tima/korisnika, centralizirani log, ograničeni pristup i međuspremanje. LiteLLM također podržava pozive za observabilnost za alate poput Langfuse, MLflow i Helicone. Odgovara razvojačima i platformskim timovima koji traže lakši pristup integraciji i upravljanju LLM.

Ključne značajke

  • Jedinstven OpenAI format za 100+ LLM-ova
  • Dolasci zamjenitelj za OpenAI klijent
  • Ruter s_retry, fallback, i smišljen opterećenjem
  • Vidljivosti pozivi (Langfuse, MLflow, Helicone)
  • Zračne ključeve s početnim budžetom po ključu/e tim-u korisniku
  • Centralizirani logički, zaštite vratnika i caching

Cijene

Model
Freemium
Ocjena
4.6 / 5 (5)

Slučajevi uporabe

Jedinstveno Integriranje Više LLM-ova

Zovi više od 100 LLM provajdera kroz jedan kompatibilni OpenAI interfejs, pojednostavljivši kôd i omogućavajući lako prilagođavanje između modela bez ponovnog pisanja integracija.

Opterećenje smišljenim prijenosom prema više LLM servisa

Raspodijeli zahtjeve na više LLM zahtjevnika kako bi se poboljšala pouzdanost i performanse, uz automatsko ponovno uključivanje kada provajderi opsluživaju u stajnosti ili ograničenje

Centralizirano upravljanje autentičnošću

Upravljanje API- ključevima i autentičnošću za mnoge LLM provajdere iz jedne proxy poslužitelja, smanjujući širinu krediti i pojednostavljivajući upravljane prijevodima

Pračenje troškova LLM-a

Slijedi i praćenje troškova preko različitih LLM provajdera na jednom mjestu, pomoću ekipi koje će se ovladati trošakom i analizirati uzorne uzore

Prednosti i nedostaci

Prednosti

  • Jedinstvena interfejs za više LLM-ova
  • Pojednostavljena autentičnost i praćenje troškova
  • Podrška za vidljivosti i logički alate
  • Samostalni proxy poslužitelj za prilagođenu upravljanju
  • Dolasci zamjenitelj za OpenAI klijent

Nedostaci

  • Zahtijeva stručni iskustaj Python programiranja za integraciju
  • Moguće zahtijeva dodatnu konfiguraciju za specifične LLM-e ili uporabnička slučaja
  • Kompleksnost u upravljanju i nadzoru velikih razmjera instalacije

Recenzije

4.6

Prosjek iz 5 ocjena.

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Prijavi se za ostavljanje recenzije.

Rina Desai

Rina Desai

Feb 11, 2026

Use it every day

Honestly didn't expect to like it this much. The dashboard is exactly what I needed, and it is genuinely easy to set up. I do wish pricing gets steep at scale, but I reach for it almost every day now and it just clicks.

VN

Victor Nguyen

Oct 30, 2025

Does the job

Pretty happy overall. The dashboard just works and it saves real time. but no dealbreakers — I'd recommend it to a friend without hesitating.

Mei-Ling Wong

Mei-Ling Wong

Sep 16, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the onboarding, and support is responsive caught me off guard. still, I'd recommend giving it a real trial.

TA

Tariq Aziz

Sep 12, 2025

Solid for our team

We rolled this out across the team last quarter and it saves real time. The automation fits neatly into how we already work, and the onboarding removed a step we used to do by hand. The mobile experience lags, which is the main caveat, but it has held up under daily use.

Fatima Zahra

Fatima Zahra

Aug 9, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is the API — handled better than most — and it is genuinely easy to set up. Worth the time if this is your use case.

Pitanja

How do I get day-0 support for new models without restarting?

Use Auto Sync New Models to pull the latest pricing and context-window data from GitHub on demand or on a schedule — no restart required. Trigger a manual sync with POST /reload/model_cost_map, or schedule periodic syncs with POST /schedule/model_cost_map_reload?hours=6.

Asked by Gabriel Duarte · Feb 1, 2026

How is pricing structured?

Pricing is based on usage. Contact us for a quote tailored to your team.

Asked by Fiorella Bianchi · Feb 1, 2026

Where can I read more about data security and compliance?

See Data Security / Legal / Compliance FAQs.

Asked by Zara Ahmed · Jan 17, 2026

How do I set up and verify an Enterprise License?

Add the license key to your environment: LITELLM_LICENSE="eyJ..." Restart LiteLLM Proxy. Open http://<your-proxy-host>:<port>/ — the Swagger page should show "Enterprise Edition" in the description. If it doesn't, confirm the key is correct, unexpired, and that the proxy was fully restarted.

Asked by George Papadakis · Dec 11, 2025

Why Enterprise?

LiteLLM OSS already covers the fundamentals — an OpenAI-compatible gateway, virtual keys, spend tracking, budgets, fallbacks, and request/response logging. Enterprise adds the controls larger organizations need to safely give hundreds of users and dozens of applications access to LLMs. OSSEnterpriseAuthAPI keysSSO + SCIM, OIDC/JWTKey ManagementVirtual keys, users, teams across LLM APIs, MCPs, and AgentsOrganizations, org/team admins, delegated admin rolesSecurity—Key rotations, read/write to secret managerGuardrailsAlways-on / request-based1Key and team scoped guardrailsLoggingRequest/response logging, Prometheus metricsPer-key / per-team routing to Langfuse, Langsmith, Arize and more. Management-op logsDeploymentSingle-region proxyMulti-region deployment under one license, admin/worker split 1 The OSS guardrail framework supports custom guardrails plus Presidio (PII masking). Several built-in callback integrations — including llmguard_moderations, llamaguard_moderations, hide_secrets, openai_moderations, google_text_moderation, lakera_prompt_injection, and aporia_prompt_injection — require a LiteLLM Enterprise license.

Asked by Ahmed Saleh · Nov 25, 2025

Postavi pitanje

Alternative za Veliki jezični modeli (LLM)