BerriAI/litellm - GitHub vs Chatty
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. | Chatty AI offers an advanced RAG AIGC service integrated with the Metaverse, delivering next-generation intelligence. Its features include document-based interaction with Markdown editing, a new storage mechanism ensuring data control, multi-device support, 24/7 customer support, multi-model driven intelligent grading, and interaction with thousands of AI virtual characters for various educational and professional scenarios. Chatty AI brings comprehensive and customized AIGC services to users, enhancing their digital experiences and intelligence solutions. |
| Category | Developer Tools | AI Assistant |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Paid |
| Starting Price | N/A | $10/mo |
| Plans | — |
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| Use Cases |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | RAG AIGCMetaverseadvanced intelligencedocument-based interactionMarkdown editing |
| 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 | ||
| Document-based interaction with Markdown editing | ||
| New storage mechanism with session cloud and local storage | ||
| Multi-device support | ||
| 24/7 customer support | ||
| Multi-model driven intelligent grading | ||
| Interaction with thousands of AI virtual characters | ||
| Integration with Metaverse | ||
| Accurate language translation capabilities | ||
| Comprehensive intelligent grading for various scenarios | ||
| Customized AIGC services | ||
| View BerriAI/litellm - GitHub | View Chatty | |
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