BerriAI/litellm - GitHub vs ReceiptsAI
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. | ReceiptsAI offers AI-driven bookkeeping solutions for small businesses, encompassing receipt data extraction, expense tracking, and report generation. The platform includes three pricing plans: Free Forever, Starter, and Premium, designed to cater to varying user needs. Key features include cloud backup, auto-categorization, document scanning, and export options to Excel or PDF. ReceiptsAI is accessible through an intuitive interface, facilitating efficient receipt management and saving time on manual data entry. |
| Category | Developer Tools | Accounting |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Use Cases |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | AI-driven bookkeepingreceipt data extractionexpense trackingreport generationpricing plans |
| 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 | ||
| Receipt Data Extraction | ||
| Automatic Receipt Categorization | ||
| AI Bookkeeping Error Detection | ||
| Receipt Cloud Backup | ||
| Expense Tracking | ||
| Expense Report Generation | ||
| Export to Excel or PDF | ||
| Support for PDFs, JPEGs, PNGs, and Screenshots | ||
| Simple, easy-to-use interface | ||
| Automated Report Generation | ||
| View BerriAI/litellm - GitHub | View ReceiptsAI | |
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