BerriAI/litellm - GitHub vs HeadshotPro
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. | HeadshotPro creates AI headshots from uploaded selfies for LinkedIn profiles, personal websites and company directories. Choose backdrops and outfits, review the generated images, then use photo credits to edit details and download the files. Individual shoots are one-time purchases: Basic costs $29 for 30 headshots, Professional $39 for 50, and Executive $59 for 70. Turnaround depends on the package: HeadshotPro lists about two hours for Basic, 30 minutes for Professional and 15 minutes for Executive. Executive includes 4K downloads; Professional and Executive include a free redo within 14 days. Team buyers use a separate credit system with shared style controls, invitations and bulk downloads. Choose based on the number of people, editing allowance and output resolution you need. |
| Category | Developer Tools | Image Generation |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Paid |
| Starting Price | N/A | $29 |
| Plans | — |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | professional headshotsremote teamsAI-generated headshotsphotos |
| 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 | ||
| 30, 50, or 70 AI headshots per individual package | ||
| Approximate turnaround from 15 minutes to 2 hours by package | ||
| Thousands of backdrop and outfit combinations | ||
| Edit backdrops, outfits, blemishes, and headroom after generation | ||
| High-resolution JPEG downloads with optional 4K upscale on Executive | ||
| LinkedIn and profile-picture cropping tools | ||
| One-time individual purchase; team credits do not expire | ||
| View BerriAI/litellm - GitHub | View HeadshotPro | |
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