BerriAI/litellm - GitHub vs Dreamwave

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubDreamwaveDreamwave
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.Dreamwave is an AI headshot generator that starts with one clear, well-lit, unfiltered photo. It creates a gallery of professional portrait styles and provides editing tools for outfits, backgrounds and small details. The provider estimates about two hours from upload to gallery, making it an option for people refreshing a LinkedIn profile, personal website or business portrait without arranging a studio session. Dreamwave also advertises a free generator, but only a few spots open each day, so free access is not continuously available. Its public product pages do not provide a paid package price; confirm the price and included outputs in the purchase flow. Review the upload guidelines first: Dreamwave says custom generation begins on upload and its refund policy is restrictive once that work starts.
CategoryDeveloper ToolsImage Generation
RatingNo reviewsNo reviews
PricingOpen SourcePricing unavailable
Starting PriceN/AN/A
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • LinkedIn users
  • Small business owners
  • Job seekers
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
AI headshot generatorprofessional headshotsselfie to headshotprivacy-first AI serviceFortune 500
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
Upload one clear, well-lit, unfiltered photo
Professional AI headshot gallery starting in about two hours
Scenes, hairstyles, outfits, poses, and style filters
Text-prompt outfit changes and background replacement
Precision retouching and detail enhancements
Free generator with a few limited spots each day
 View BerriAI/litellm - GitHubView Dreamwave

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