BerriAI/litellm - GitHub vs Myreader AI
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. | MyReader.ai is an AI-powered platform designed to assist you in reading and extracting information from books, documents, papers, and articles. Simply upload a file in formats like pdf, epub, or doc, ask questions, and receive answers along with relevant sections for further reading. The platform supports features such as OCR for scanned documents and integration with Google for seamless sign-ups and sign-ins. Additionally, MyReader.ai offers different pricing plans, including a free plan, to cater to varied user needs. It also has an affiliate program that allows users to earn by referring others. |
| Category | Developer Tools | Conversational AI |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | AIreadinginformation extractionOCRGoogle integration |
| 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 reading and extraction | ||
| Supports multiple file formats | ||
| OCR for scanned documents | ||
| Google Sign-Up/Sign-In | ||
| Free and paid pricing plans | ||
| Affiliate program | ||
| Track affiliate earnings | ||
| Cancel subscription anytime | ||
| Upload articles and documents | ||
| Instant answers to queries | ||
| View BerriAI/litellm - GitHub | View Myreader AI | |
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