BerriAI/litellm - GitHub vs Pull Request Help
Side-by-side comparison · Updated September 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. | PullRequest.help revolutionizes the way developers handle GitHub pull requests with automated code reviews. By using advanced algorithms, this tool eliminates the drudgery of manual code inspection, allowing engineers to focus on more critical tasks. It provides accurate, quick, and efficient reviews, making the process seamless and effortless. This is an essential tool for any development team aiming to improve code quality and boost productivity. Experience the new normal in code reviewing made with ♥️ in San Francisco. |
| Category | Developer Tools | DeveloperApplication |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Pricing unavailable |
| Starting Price | N/A | N/A |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | GitHubcode reviewsautomateddevelopersadvanced algorithms |
| 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 | ||
| Automated code analysis | ||
| Quick review times | ||
| Accurate reviews | ||
| Seamless GitHub integration | ||
| Handles complex code structures | ||
| Supports multiple languages | ||
| Improves team productivity | ||
| Reduces manual effort | ||
| Enhances code quality | ||
| Developed in San Francisco | ||
| View BerriAI/litellm - GitHub | View Pull Request Help | |
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