Automatic Chat vs BerriAI/litellm - GitHub
Side-by-side comparison · Updated October 2026
| Description | automatic.chat offers a comprehensive AI chatbot service designed to streamline customer interactions by answering repetitive questions using the GPT-4 model. The platform provides tiered pricing plans: Basic, Standard, Premium, and Enterprise, each offering various levels of message limits, chatbots, and customization options. The service includes features such as training from multiple document sources, proactive customer greetings, and detailed analytics. Trusted by over 1,400 businesses globally, automatic.chat supports multiple languages and ensures data privacy and security, making it an effective tool for enhancing customer service efficiency. | 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. |
| Category | Customer Support | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Paid | Open Source |
| Starting Price | $14/mo | N/A |
| Plans |
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| Tags | AI chatbotcustomer interactionsGPT-4tiered pricing plansmessage limits | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys |
| Features | ||
| Integration with GPT-4 AI model | ||
| Quick setup in less than 30 seconds | ||
| Customizable chatbots to match branding | ||
| Support for over 24 languages | ||
| Proactive customer greeting messages | ||
| Robust analytics and reporting tools | ||
| Training from websites, PDFs, Google Docs, Notion | ||
| Lightning-fast response times | ||
| Detailed privacy and data security policies | ||
| 7-day free trial with all pricing plans | ||
| 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 | ||
| View Automatic Chat | View BerriAI/litellm - GitHub | |
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