BerriAI/litellm - GitHub vs OpsBerry
Side-by-side comparison · Updated October 2026
| Description | LiteLLM is an AI gateway and Python SDK from Berrie AI Incorporated, published in the BerriAI GitHub repository. The SDK provides a common interface for model calls inside Python applications. The proxy gateway centralizes access for a team, with virtual keys, model routing, spend tracking, budgets and an administration interface. The official documentation lists support for more than 100 model providers. Supported endpoints and features vary by integration, so verify your model’s streaming, tool-calling, image, audio or embedding requirements. The router supports retries, fallbacks and load balancing; observability integrations can send request data to tools such as Langfuse, LangSmith and OpenTelemetry. LiteLLM also provides an MCP gateway. It can connect upstream servers using Streamable HTTP, SSE or stdio, expose tools through a fixed gateway endpoint, and scope access by key, team or organization. This requires configuring the upstream servers and authentication; the gateway does not automatically grant access to third-party tools. Agent-to-agent integrations are documented separately. The open-source offering has no software license fee for self-hosting. Code outside the enterprise directory is MIT-licensed, while enterprise code has separate terms. Enterprise pricing is quoted by annual gateway request capacity, deployment architecture and support needs, rather than a per-token license charge. Model-provider charges and infrastructure costs still apply. Enterprise adds controls and support such as SSO, SCIM, audit logs and service-level agreements. Compare New API for another self-hosted gateway with provider-channel management and usage accounting. Evaluate a representative workload, inspect request logging and secret handling, test budget and failure behavior, and decide whether SDK integration or a shared gateway best fits your application. | OpsBerry AI offers a cutting-edge AI-powered Identity Security Posture Management solution designed to prevent identity breaches by targeting both human and non-human identities. The platform provides features such as real-time visibility and control across cloud services, continuous compliance through AI-powered audits, and increased operational efficiency through automation. With a strong commitment to security and data privacy, OpsBerry AI adheres to industry-leading frameworks and ensures high cloud infrastructure security and uptime reliability. |
| Category | Developer Tools | Security |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Pricing unavailable |
| Starting Price | N/A | N/A |
| Use Cases |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | AI-powered Identity Security Posture Managementidentity breacheshuman and non-human identitiesreal-time visibilitycloud services |
| Features | ||
| Python SDK for direct application integration | ||
| Shared AI proxy gateway and administration UI | ||
| More than 100 documented model-provider integrations | ||
| Virtual keys, users, teams, budgets and rate limits | ||
| Spend tracking and observability integrations | ||
| Router retries, fallbacks and load balancing | ||
| MCP gateway for Streamable HTTP, SSE and stdio upstreams | ||
| Key, team and organization MCP permissions | ||
| Separate enterprise identity, audit and support features | ||
| AI-powered Identity Security Posture Management | ||
| Real-time visibility and control | ||
| Continuous compliance with AI-powered audits | ||
| Automated identity risk remediation | ||
| Industry-leading security frameworks | ||
| Advanced encryption standards (AES-256) | ||
| 99.9% uptime guarantee | ||
| Zero data model training | ||
| SOC2 compliance | ||
| Flexible data retention policies | ||
| View BerriAI/litellm - GitHub | View OpsBerry | |
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