BerriAI/litellm - GitHub vs Klu.ai

Side-by-side comparison · Updated September 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubKlu.aiKlu.ai
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.Klu is an all-in-one LLM App Platform that allows users to experiment, version, and fine-tune GPT-4 Apps. It supports collaborative prompt engineering, enabling teams to explore, save, and prototype completions, assistants, and workflows. The platform also offers functionalities for tracking and integrating changes into product development workflows, and it automatically evaluates prompt and model changes. The Klu platform is compatible with best-in-class LLMs such as Llama 2 and Mistral 7b, and it enables users to fine-tune custom models with curated data.
CategoryDeveloper ToolsProject Management
RatingNo reviewsNo reviews
PricingOpen SourceFreemium
Starting PriceN/AFree
Plans—
  • Free Plan — Free
  • Pro Plan — $30/mo
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • AI Researchers
  • Development Teams
  • Product Managers
  • Businesses
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
LLM App Platformprompt engineeringGPT-4fine-tuningcollaboration
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
Support for best-in-class LLMs like Llama 2 and Mistral 7b
Collaborative prompt engineering
Tracking and integrating changes into product development workflows
Automatic evaluation of prompt and model changes
Free trial for initial AI app development and prototyping
Fine-tune custom models with curated data
Secure hosting solutions for enterprises
Multi-tenant architecture for deploying OS models privately
Rapid development and deployment capabilities
Regulatory compliance and data privacy
 View BerriAI/litellm - GitHubView Klu.ai

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