Dialoq
API Gateway unificado para más de 200 modelos de IA
Simplifique el acceso a más de 100 LLM con LiteLLM de Berri AI. Supervise el uso, gestione los costos, aplique límites de velocidad y ofrezca soporte técnico de respaldo, todo a través de una única puerta de enlace compatible con OpenAI.
Berri AI offers a streamlined gateway—LiteLLM—that gives developers and platform teams centralized access to over 100 large language models (LLMs). By offering compatibility with the OpenAI API format, it eliminates the need for custom integrations and reduces the time to adopt new models across providers.
LiteLLM is trusted by teams at companies like Netflix, RocketMoney, and Lemonade. It enables enterprise-grade management of LLM operations, supporting everything from usage tracking to fine-grained access control, all in a production-ready open-source or enterprise package.
LiteLLM provides seamless connectivity to models across major providers including OpenAI, Azure, Bedrock, and GCP. Developers can switch between providers or integrate new models without rewriting their codebase, using one consistent API.
Con LiteLLM, los equipos pueden realizar un seguimiento preciso de los costos de uso por usuario, equipo u organización. Admite la atribución de costos basada en etiquetas y se integra con sistemas de almacenamiento en la nube como S3 y GCS para el registro, lo que facilita una mejor supervisión financiera y la elaboración de presupuestos.
Platform teams can define custom rate limits (RPM/TPM) and enforce usage budgets per team or key. These controls ensure operational efficiency while protecting infrastructure against misuse or overage.
LiteLLM includes built-in support for model fallbacks, allowing uninterrupted service if a provider fails or limits access. Guardrails further enhance reliability by offering rules for safe prompt handling and API usage.
The open-source version of LiteLLM is free to use and includes support for 100+ LLM integrations, load balancing, and telemetry logging. Developers can extend functionality with community-driven contributions or through supported SDKs.
LiteLLM se integra con Prometheus, OpenTelemetry, Langfuse y otras herramientas de observabilidad. Los equipos pueden supervisar las métricas de uso de LLM, monitorizar el rendimiento de las solicitudes y analizar patrones para optimizar o depurar.
LiteLLM significantly reduces onboarding time for new LLMs. Teams can provide access to newly released models within hours, not days, thanks to a unified interface and compatibility layer.
The enterprise plan includes features such as SSO, JWT authentication, audit logging, and custom SLAs. Organizations can deploy LiteLLM in the cloud or on-premises, depending on their infrastructure needs and compliance requirements.