aomni vs BerriAI/litellm - GitHub
Side-by-side comparison · Updated October 2026
| Description | Aomni revolutionizes B2B selling through its advanced AI-driven platform, offering diverse pricing plans including pay-as-you-go and subscriptions tailored to various business needs. With features like the Advanced Sales Dossier, custom Enterprise plans, and initial free credits, Aomni caters to both small businesses and large organizations aiming to enhance their sales efficiency and build stronger buyer relationships. | 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. |
| Category | Sales | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Free | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Tags | B2BAI-driven platformAdvanced Sales DossierEnterprise plansfree credits | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys |
| Features | ||
| Flexible pricing plans including pay-as-you-go and subscriptions | ||
| Advanced Sales Dossier for comprehensive account research and engagement | ||
| Custom Enterprise plans for large organizations | ||
| Initial offer of $20 free credits for new users | ||
| AI-driven automated account research and outreach | ||
| Integration capabilities with popular GTM tools | ||
| Scalable solutions for businesses of all sizes | ||
| Collaboration tools for cross-functional teamwork | ||
| Research-focused approach providing vital customer insights | ||
| State-of-the-art AI assistant fine-tuned for B2B sales | ||
| 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 | ||
| View aomni | View BerriAI/litellm - GitHub | |
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