BerriAI/litellm - GitHub vs SiteSpeakAI
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. | SiteSpeakAI offers a user-friendly and powerful alternative to Chatbase.co, providing enhanced UI, team collaboration, and multiple integrations for improved chatbot functionality. With support for a variety of content formats like PDFs, CSVs, PowerPoints, and text files, SiteSpeakAI allows easy training and retraining of chatbots. Features like API/database connectivity, human escalation, and real-time live chat make it ideal for converting leads, capturing customer information, and reducing support load. Simplified installation, customization, and robust support options make SiteSpeakAI a versatile tool for businesses looking to enhance customer interactions. |
| Category | Developer Tools | Conversational AI |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Paid |
| Starting Price | N/A | $30/mo |
| Plans | — |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | chatbotcustomer supportlead conversionteam collaborationAPI connectivity |
| 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 | ||
| User-friendly UI | ||
| Team collaboration | ||
| Multiple content format support | ||
| Scheduled and automatic retraining | ||
| API and database connectivity | ||
| Human escalation | ||
| Real-time live chat | ||
| Easy installation | ||
| Customization options | ||
| Robust support system | ||
| View BerriAI/litellm - GitHub | View SiteSpeakAI | |
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