BerriAI/litellm - GitHub vs FileGPT
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. | FileGPT is an advanced AI-powered application designed to transform the way you interact with various file formats such as PDFs, DOCs, TXTs, audio, video, YouTube, and webpages. By utilizing cutting-edge natural language processing technology, FileGPT allows users to effortlessly chat with and query their files, extracting meaningful information quickly and accurately. The platform supports long texts, smart content parsing, cross-source querying, and provides an affordable solution for individuals and businesses alike. Users can try it for free with the option to upgrade for enhanced features. |
| Category | Developer Tools | Conversational AI |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Paid |
| Starting Price | N/A | $100/yr |
| Plans | — |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | file formatsPDFDOCTXTaudio |
| 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 | ||
| Multi-format support for PDFs, TXTs, DOCs, audio, video, YouTube, and webpages | ||
| Natural language processing for querying and interacting with files | ||
| Support for long texts and large file sizes | ||
| Smart content parsing for handwritten texts and multimedia | ||
| Cross-source querying to integrate multiple files into a single answer | ||
| Affordable pricing plans with the option to upgrade | ||
| Mobile-optimized for better user experience on small screens | ||
| Enhanced customer support with higher-tier plans | ||
| Embedding capabilities for websites | ||
| Token-based pricing model for flexibility in usage | ||
| View BerriAI/litellm - GitHub | View FileGPT | |
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