BerriAI/litellm - GitHub vs PDF Candy

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubPDF CandyPDF Candy
DescriptionLiteLLM 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.PDF Candy combines online PDF editing, conversion, compression and document organization in one toolkit. You can merge reports, split or reorder pages, convert PDF to Word, extract text with OCR, add a signature or password, and use AI tools to summarize, translate or chat with a PDF. Choose a task, upload the file and download the processed result. The free service needs no account, but page, hourly and file-size limits apply, and batch processing is restricted. Web Monthly costs $6 per month and raises the file limit to 500 MB per task with no hourly limit. A separate Windows Desktop app supports offline work. For documents you upload online, PDF Candy states that original files and processed output remain on its servers for no longer than two hours.
CategoryDeveloper ToolsUtilities Application
RatingNo reviewsNo reviews
PricingOpen SourceFreemium
Starting PriceN/AFree
Plans—
  • Free — Free
  • Web Monthly — $6/mo
  • Desktop + Web Lifetime — $99
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • Students
  • Professionals
  • Marketing Teams
  • Administrators
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
compressing PDFsmerging PDFsPDF metadata editingOCRfile format conversion
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
Edit, merge and split PDFs
Compress PDF files
Convert to and from PDF
PDF OCR
Sign, protect and unlock PDFs
Extract pages, text and images
Edit PDF metadata
Add watermarks, page numbers and headers/footers
AI PDF summarizer, translator and chat
Windows desktop app with offline operation
 View BerriAI/litellm - GitHubView PDF Candy

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